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Please write an abstract with title: Radiometric calibration and preliminary results of airborne 2003 FASA Campaign, and key words: Radiometry, Calibration, Temperature, Instruments, System testing, Volcanoes, Fires, Spectral analysis, Payloads, Image resolution. Abstract: During July 2003 a new airborne system named FASA was tested on Italian volcanoes. FASA that stands for Fire Airborne Spectral Analyzer, is a system devoted to high temperature events study. The payload on the airborne consisted of an imager (ABAS) and an high resolution Michelson interferometer with rotating retroreflector MIROR operating in the nominal infrared 2.5-18 /spl mu/m range. MIROR was developed by DLR and adapted for airborne measurement by INGV that provided an opto-mechanical interface and a calibration unit software control. By using three black body sources at different temperature is possible to compute instrumental transfer function and reduce instrumental noise. In this study we describe pre-flight test and the in flight calibration results. Preliminary results of radiance spectra on the Mount Etna surface and emissivity are shown.
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601 |
Please write an abstract with title: Distance Based Training for Cross-Modality Person Re-Identification, and key words: Feature extraction, Measurement, Training, Cameras, Network architecture, Machine learning, Face recognition. Abstract: Cross-modality person re-identification between infrared (IR) and visible (VIS) domains is a challenging problem, which aims to identify persons in different spectrums, variety of camera specs, and broad illumination conditions. This paper proposes distance based training on an one-stream convolutional neural network architecture, in which network weights are shared between IR and VIS domains to learn discriminative features for person re-identification. The distance based score layer enables to train the network using distance metrics instead of the fully connected layer. Different distance metrics can be used for training and ranking stages. The proposed structure enables to extract discriminative features in the cross-modality data without using dedicated structures for each domain. Experimental results on a cross-modality person re-identification dataset indicate that the proposed approach outperforms the state-of-the-art methods.
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602 |
Please write an abstract with title: Piezoelectric Mems Unvoiced Speech-Recognition Sensor Based on Oral Airflow, and key words: Micromechanical devices, Performance evaluation, Microelectromechanical systems, Conferences, Speech recognition, Machine learning, Voltage. Abstract: We present a piezoelectric microelectromechanical system (MEMS) unvoiced speech-recognition sensor based on oral airflow, which performs well at (i) recognizing words according to their unique voltage-signal characteristics and (ii) avoiding the effects of external sound noise, body movement, long distance, and occlusion compared to the state of the art. Future work will combine machine learning to show what they say on mobile phones, which is expected to be used to serve people with acquired throat injury or serious diseases, weak bodies, unable to speak loudly or in a public quiet environment.
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603 |
Please write an abstract with title: DC to AC inverter with improved one cycle control, and key words: Inverters, Switches, Analog-digital conversion, DC-DC power converters, Switching converters, Circuit topology, Error correction, Steady-state, Proportional control, Voltage control. Abstract: Switch mode DC to AC inverters using DC-to-DC converter topology has many advantages over the traditional bridge-type inverter. One cycle control is proposed to form a high performance inverter, but high performance ability was need for the magnify integrated chip. In this paper the control circuit error near the zero crossing point was magnified and steady state point of the magnifier was changed from zero to a positive number to minimized the distortion near the zero crossing point. Because one cycle control method was not acute to the load changed, a proportional loop was used and voltage feedback archived from the filter end. And the experimental results are given out.
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604 |
Please write an abstract with title: Non-Singular Fast Terminal Sliding Mode Control With Disturbance Observer for Underactuated Robotic Manipulators, and key words: Disturbance observers, Sliding mode control, Convergence, Manipulator dynamics, Uncertainty. Abstract: This paper proposes a novel non-singular fast terminal sliding control technique for underactuated robotic manipulators. The proposed approach combines the robustness properties of sliding mode-based control approaches with the approximation accuracy of disturbance observers to suppress both matched and mismatched uncertainties. It also solves the singularity and complex-value number problems associated with fast terminal sliding mode control (FTSMC), while guaranteeing fast convergence rate, robustness and tracking accuracy. The performance of the proposed approach is assessed using a three-link underactuated robotic manipulator with and without holding brakes. The obtained results confirmed the fast convergence rate of the disturbance approximation and position tracking errors along with the excellent robustness and dynamic performance of the proposed control approach. Additionally, due to the estimation properties of the disturbance observer, fast and excellent tracking performance was achieved without the use of large feedback gains.
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605 |
Please write an abstract with title: Inorganic write-once disc for high speed recording, and key words: Disk recording, Jitter, CD recording, Read only memory, Inorganic materials, Optical materials, Computer hacking, Drives, Testing, Diode lasers. Abstract: Write-once media has been used as storage media for medical data, official documents in order to prevent tampering. In addition, write-once media, such as CD-R or DVD-R are the most popular storage media for the computer in the world by reason of the interchangeability with the ROM disc. On the other hand, in order to obtain much larger capacity, DVR-blue system (/spl lambda/ = 405 nm, NA = 0.85) has been proposed. Many storage media, such as rewritable discs, write-once discs, ROM discs have been developed to apply this system. We have already reported high speed rewritable disc for this system. We have developed write-once disc for this system, too. And we have achieved wide data recording rate in the range of 35 Mbps to 140 Mbps on a disc with inorganic recording material. In this report, we show the read and write characteristics of the write-once disc with inorganic write-once material.
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606 |
Please write an abstract with title: Real-Time Velocity Estimation Algorithm for a Multivariable Motion Sensor, and key words: Estimation error, Estimation, Parallel processing, Real-time systems, Motion detection, Stability analysis, Frequency division multiplexing. Abstract: This paper proposes an algorithm for real-time velocity estimation using the position and acceleration signals obtained from a multivariable motion sensor, consisting of a resistive potentiometric displacement sensor plus a MEMS accelerometer. The estimation algorithm is composed of two processing chains that estimate velocity starting from position and acceleration signals. Velocity estimation from position is obtained through an adaptive windowing differentiator while the estimation from acceleration is based on a stabilized numerical integration. Such two estimations are fused together by means of a tailored mixing logic. The proposed algorithm is first simulated in MATLAB and then experimentally implemented and tested. The proposed algorithm presents a lower estimation error for velocity as compared to the differentiation of the position through the finite difference method (FDM). Simulation and experimental results confirm the effectiveness of the proposed mixing logic.
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607 |
Please write an abstract with title: Computationally Efficient Narrowband RFI Mitigation for Pulse Compression Radar, and key words: Time-frequency analysis, Sensitivity, Modulation, Surgery, Interference, IIR filters, Real-time systems. Abstract: Mitigating in-band, continuous-wave (CW) radio frequency interference (RFI) is a common problem for radar systems which themselves may employ continuous-wave waveforms. The source of this RFI can be intentional or unintentional spectral artifacts of near-by narrowband communications systems. Radar signal modulations of just a few megahertz are frequently quite broad compared to the modulation bandwidths of the interferers. So, characterization of RFI by a simple tone can be sufficient to assess its impact. When the RFI sources are unanticipated or of uncertain characteristics, there is motivation to mitigate them in a responsive manner in receive processing. A computationally efficient RFI cancellation method for receive is described here. Salient properties of this method are the recovery of radar sensitivity in the presence of narrowband RFI and the preservation of pulse compression time sidelobe levels. In fact, the technique described here overcomes the disadvantages of isolating and removing an RFI source that is completely immersed in the radar waveform in both time and frequency. While removing each of possibly multiple RFI sources with surgical IIR filters, little secondary influences on pulse compression responses arise because the IIR filter is suitably designed with finite word influences and impulse-response time sidelobes in mind.
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608 |
Please write an abstract with title: Design and Performance Analysis of a Net Metering Rooftop Solar PV System, and key words: Meters, Economics, Renewable energy sources, Buildings, Solar energy, Production, Performance analysis. Abstract: Energy significantly role in the social and economic progress of a country, whether the energy crisis over the world is a vital issue. Solar energy is the most useful renewable energy all over the world. However, the solar photovoltaic system cannot provide a continuous supply of energy, grid-connected Solar PV systems with the net meter are now being implemented that combine solar and conventional conversion units based on the load demand. In this paper, we have proposed the design and implementation procedure of rooftop on-grid solar PV system. Here, it has been installed 2KWp solar PV system using 8 solar panels (250Wp) at the rooftop of a building. Finally, the implemented system has been surveyed on the scale of time, day, and month to examine the energy production, consumption, and grid-energy saving performance. The results of the proposed and implemented design have been found feasible and economically viable.
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609 |
Please write an abstract with title: A phase based method for investigating the functional connectivity in the fMRI data, and key words: Magnetic resonance imaging, Data processing, Signal detection, Blood flow, Magnetic field measurement, Pollution measurement, Paramagnetic materials, Testing, Time domain analysis, Fingers. Abstract: Detection of functional MRI activation signal and observing the functional connectivity in the spatial domain are two important aspects in the analysis of functional MRI data. There are various approaches to test for functional connectivity. One of these is based on the correlation analysis in time domain. However, it assumes that the haemodynamic response model be a linear system. On the other hand this assumption may not always be true. Therefore, a different approach towards the signal detection and spatial functional connectivity is presented in this paper. Our method is based on the phases of the time series data. Concept of phase difference vector norm has been implemented. Results are presented on a clinical data set obtained from the finger tapping experiment. Clinical relevance of functional connectivity is described along with the background information.
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610 |
Please write an abstract with title: Low-noise microwave reactance amplifiers with large gain-bandwidth products, and key words: Microwave amplifiers, Low-noise amplifiers, Microwave frequencies, Impedance, Bandwidth, Light emitting diodes, Stability, Operational amplifiers, Voltage, Circuits. Abstract: Basically, there are two modes in which reactance (parametric) amplifiers can be operated. In one mode, there is no negative conductance associated with the terminal impedances of the amplifier, and consequently absolute stability results. However, the maximum available power gain for this mode of operation is limited to the ratio of the output signal frequency (the sum of the input signal frequency and the pump frequency) to the input signal frequency. In the second basic mode of operation, the terminal impedances of the amplifier contain negative conductance components. Consequently, the amplifier is potentially unstable but can give large gain at the expense of reduced bandwidth. In designing low-noise receiving systems for microwave frequencies, one is led to consider the use of the negative conductance type of reactance amplifier in order to obtain sufficient gain so that the overall system noise factor is determined by the low-noise reactance amplifier stage. Until recently, however, the values of gain-bandwidth products achieved in practice with this type of amplifier have been disappointingly low. A theory is presented in which voltage gain-fractional bandwidth products for two negative conductance types of reactance amplifiers are analyzed in terms of pertinent nonlinear-capacitance diode and circuit parameters. Low-frequency prototype models of these types of reactance amplifiers were designed in accordance with the theory, and the measured operating characteristics were found to be in excellent agreement with the large values predicted by theory. At microwave frequencies, gain-bandwidth products substantially lower than those obtained at low frequencies may result because of the effects of diode lead inductance and the selectivity of the associated microwave circuits. Designs for minimizing these effects are discussed, and experimental results obtained at microwave frequencies are presented. Designing amplifiers in accordance with the theory also provides a nearly optimum noise figure.
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611 |
Please write an abstract with title: 159-GHz Propagation Measurement and Analysis in Urban Microcellular Environment for 6G, and key words: Antenna measurements, Azimuth, Frequency measurement, Delays, Temperature measurement, Loss measurement, Horn antennas. Abstract: This letter presents our 159 GHz measurements collected in an urban microcellular (UMi) environment and provides synthesized beamwidth-related propagation characteristics. Our directional antenna measurements include line-of-sight (LoS) scenarios (distances up to 170 m) and non-LoS (NLoS) (distances up to 97 m). To validate the synthesized beamwidth characteristics, an omnidirectional antenna was also used. So far, to the best of our knowledge, two organizations (NYU and USC) have reported their measurement-based propagation characteristics for UMi, especially including NLoS, at frequencies above 100 GHz. We compare our data with the two organizations’ data as well as the frequency-extrapolated 3GPP model.
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612 |
Please write an abstract with title: EEG Signal-Based Eye Blink Classifier using Random Forest for BCI Systems, and key words: Support vector machines, Feature extraction, Software, Electroencephalography, Brain-computer interfaces, Classification tree analysis, Matlab. Abstract: The objective of the present work is to perform a feature extraction and classification of three eye blinking scenarios: eyes open, eyes closed and voluntary blinks, to be later used in a BCI (Brain-Computer Interface). Electroencephalographic signals from 6 healthy subjects (3 men and 3 women) between 21 and 28 years have been recorded. The extracted features were the variance and the bandpower. The signals were analyzed with MATLAB’s help and then Random Forest (RF) and Support Vector Machine (SVM) classification methods from the Weka software were used. A comparison among the extracted features has been performed in order to observe which of them are better for classification. According to the results, the variance has an accuracy of 80.7%; bandpower, 33.3%; and a combination of both, 78.1%, by using the RF classifier.
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613 |
Please write an abstract with title: Data Science-based Sizing Approach for Renewable Energy Systems, and key words: Renewable energy sources, Power demand, Mechatronics, Urban areas, Sociology, Reliability, Statistics. Abstract: One of the global trends in the energy sector is the inclusion of renewable sources in the grid. This need allows the reduction of greenhouse gases produced by the energetic industry, particularly with the use of fossil fuels and their effects on global warming. Therefore, these implementations need to cover the minimum requirements as balanced energy price, power demand, and a higher ROI, among others, to be reliable and compete with traditional sources. This paper presents a novel approach for sizing a hybrid renewable energy system, using data-driven decisions to meet the demand of a population in Barranquilla city. This method reduces oversizing by optimizing the number of components and increases the whole architecture's energy efficiency by managing the excess or the lack of energy through storage and backup systems.
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614 |
Please write an abstract with title: Denoising of ECG Signals Based on CEEMDAN, and key words: Heart, Empirical mode decomposition, Filtering, Noise reduction, Electrocardiography, Signal processing, Feature extraction. Abstract: Heart disease is one of the major diseases of human health, and ECG can reflect the health condition of the heart to a certain extent. In order to reduce the noise in ECG signals, this paper proposes a CEEMDAN based, i.e., adaptive noise complete empirical mode decomposition and state machine logic method to extract feature waveforms from ECG signals. First, the noise-containing ECG signal is CEEMDAN decomposed to obtain 10 IMF components and one residual component, and the low-frequency IMF component, i.e., the baseline drift signal, is determined using the over-zero rate, which is removed to reconstruct the signal. Next, high frequency noise is eliminated by first separating the QRS wave groups by the windowing method, determining the number of IMFs at high frequencies using the statistical test method, filtering them out, and reconstructing the signal to obtain a clean signal with the noise removed. The results of this experiment prove that this method is more effective than the original EMD and EEMD methods for removing ECG noise.
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615 |
Please write an abstract with title: The Domain Name System and Network Routing: Amazon Route 53 and Amazon CloudFront, and key words: Servers, Internet, IP networks, Domain Name System, Computer architecture, Superluminescent diodes, Routing. Abstract: The Internet's Domain Name System (DNS) infrastructure ensures that content living behind IP addresses can be reliably associated with human‐readable domain names—like amazon.com. Amazon's Route 53 is built to manage domain services, but it can also have a significant impact on the precision, reliability, and speed with which resources are delivered. CloudFront, Amazon's global content delivery network can take both speed and accuracy a few steps further. This chapter defines the key elements of DNS infrastructure, particularly the way they are used within Amazon Route 53. Weighted routing policies let one direct traffic among multiple parallel resources proportionally according to their ability to handle it. Failover routing monitors a resource and, on failure, reroutes subsequent traffic to a backup resource. Geolocation routing assesses the location of a request source and directs responses to appropriate resources.
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616 |
Please write an abstract with title: Detection of Spatio-Temporal Gait Parameters by Using Wearable Motion Sensors, and key words: Motion detection, Wearable sensors, Magnetic sensors, Legged locomotion, Parameter estimation, Gyroscopes, Biomedical monitoring, Accelerometers, Thigh, Motion estimation. Abstract: This paper presents a method to detect the spatio-temporal parameters of gait by using wearable motion sensors with a gyro, accelerometer, and magnetic sensor. The detected gait parameters are as follows: stance (ST), double support (DS), and gait cycle (GC) time as temporal parameters, and the stride length (SL) as spatial parameter. Four motion sensors are attached on both thighs and shanks of users, and the sensor data are collected in a portable PC. The temporal parameters are estimated by finding walking events, and then the stride length is calculated with two gait models. The estimated parameters are compared to those obtained from a motion capture system (VICON system)
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617 |
Please write an abstract with title: Artificial Intelligence based Asset Management, and key words: Supply chains, Focusing, Maintenance engineering, Market research, Asset management, Planning, Artificial intelligence. Abstract: In a System Engineering perspective, asset management (AM) is related to a subset of techniques focusing on the in-service phase, aligned with product life-cycle management discipline. Today, within AM solution market, the integration of Artificial Intelligence (AI) technics above traditional entreprise solution is a key trend. This paper is focusing on how symbolic AI and data driven AI could improve some issues of the AM life cycle, in particular in asset acquisition, performance analysis and forecasting, asset monitoring, predictive and prescriptive maintenance, supply chain optimisation including spare parts management…
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618 |
Please write an abstract with title: An Approach for Optimizing Ensemble Intrusion Detection Systems, and key words: Feature extraction, Intrusion detection, Machine learning algorithms, Bayes methods, Real-time systems, Measurement. Abstract: Intrusion Detection System is yet an interesting research topic. With a very large amount of traffic in real-time networks, feature selection techniques that are effectively able to find important and relevant features are required. Hence, the most important and relevant set of features is the key to improve the performance of intrusion detection system. This study aims to find the best relevant selected features that can be used as important features in a new IDS dataset. To achieve the aim, an approach for generating optimized ensemble IDS is developed. Six features selection methods are used and compared, i.e.: Information Gain (IG), Gain Ratio (GR), Symmetrical Uncertainty (SU), Relief-F (R-F), One-R (OR) and Chi-Square (CS). The feature selection techniques produce sets of selected features. Each best selected number of features that are obtained from feature ranking step for respective feature selection technique will be used to classify attacks via four classification methods, i.e.: Bayesian Network (BN), Naïve Bayesian (NB), Decision Tree: J48 and SOM. Then, each feature selection technique with its respective best features is combined with each classifier method to generate ensemble IDSs. Lastly, the ensemble IDSs are evaluated using Hold-up, K-fold validation approaches, as well as F-Measure and statistical validation approaches. Experimental results using Weka tools on ITD-UTM dataset show the optimized ensemble IDSs using (SU and BN); using (CS and BN) or (CS and SOM) or (IG and NB); and using (OR and BN) with respective ten, four and seven best selected features achieves 81.0316%, 85.2593%, and 80.8625% of accuracy, respectively. In addition, ensemble IDSs using (SU and BN) and using (OR and J48) with ten and six best respective selected features, perform the best F-measure value, i.e.: 0.853 and 0.830, respectively. Indirect comparison with other ensemble IDS on different dataset is discussed.
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619 |
Please write an abstract with title: Application of Interacting Multiple Model for Future State Prediction of Small Unmanned Aerial Systems, and key words: Tracking, Atmospheric modeling, Predictive models, Control systems, Unmanned aerial vehicles, Hardware, Physics. Abstract: In this paper, an interacting multiple model (IMM) is proposed to generate future position estimates and enable the safe deployment of small unmanned aerial systems (sUAS) in the national airspace (NAS). The proposed system has been developed in the ROS-Gazebo physics engine environment. The IMM module is executed on the ground control station (GCS) and it is isolated from the vehicle. The IMM requires positional information of the sUAS, we utilize the current position and velocity estimates to predict future sUAS states. This system is capable of tracking multiple vehicles simultaneously. The IMM module consists of three different motion models, viz. the constant velocity (CV) model, the constant acceleration (CA) model and the constant turn (CT) model. These models independently or in combinations can handle the expected maneuvers of the commercial sUAS in flight. The models are tuned to incorporate kino-dynamic constraints of the vehicle. The structure of the IMM and detailed information on sub-modules of the future predictor are presented. The Gazebo simulations for tracking multiple vehicles are presented and the hardware results are included to show the application of IMM for one unmanned aerial vehicle.
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620 |
Please write an abstract with title: Power-aware microsensor design, and key words: Microsensors, Vehicle detection, Target tracking, Embedded system, Dynamic range, Infrared image sensors, Sensor systems, Personnel, Costs, Magnetic sensors. Abstract: Military microsensors are networked distributed embedded systems composed of a processor, a radio, and sensors used for personnel or vehicle detection. They are most often found in minefield replacement and perimeter security applications where size, weight, power, and cost requirements are quite challenging. In this paper, we discuss the different system design approaches used in microsensor systems and introduce a modular, scalable, power-aware microsensor architecture intended span the entire dynamic range required of these systems. We describe a reference implementation of this concept and results from field experiments.
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621 |
Please write an abstract with title: Research on Oil Spill Pollution Type Identification Using Rpnet Deep Learning Model and Airborne Hyperspectral Image, and key words: Deep learning, Pollution, Image recognition, Oils, Biological system modeling, Atmospheric modeling, Feature extraction. Abstract: Recently, marine oil spill incidents occur frequently, causing serious pollution, which has seriously endangered marine ecological environment security. The type of oil spill pollution is related to the formulation of punishment and cleaning scheme, which is an important basis for the disposal of oil spill pollution. Hyperspectral remote sensing is an effective means to monitor marine oil spills. Different types of light oils are difficult to identify effectively, which can not meet the needs of accurate monitoring applications. In this paper, the outdoor oil spill experiment is implemented. The data of five typical oil products are obtained by unmanned airborne hyperspectral imager, and the feature extraction and analysis are carried out. The RPnet deep learning recognition model of oil types under multi feature fusion is constructed to realize the effective identification of different oil spill types. It can provide important technical support for offshore oil spill monitoring of relevant business departments.
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622 |
Please write an abstract with title: Document and Event Record Management System: A Prototype, and key words: Industrial electronics, COVID-19, Pandemics, Databases, Prototypes, System improvement, Documentation, Document handling, Information management, Office automation. Abstract: Good record-keeping makes better reports and contributes to exceptional planning for the future. During the Covid-19 pandemic, most offices were operating from home. Having such a system would help to keep track of important documents and events. A small office may find such a system a lifesaver where it can provide a CRUD (create-read-update-delete) function, generate reports, serve as activity logs, and provide feedback. The prototype was developed as a web-based system, combining document and event management records. PHP and MySQL databases were the backbones of the system. A case study consisting of the ABC Department was used to illustrate the usage of the prototype. The prototype could be customized to client requirements.
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623 |
Please write an abstract with title: ADC Resolution Requirement for an Intra-Quantum Signal Digitization, and key words: Signal resolution, Quantization (signal), Dynamic range, Energy resolution, Digital communication, Signal detection. Abstract: This article discusses a new approach to size an analog-to-digital converter (ADC) for the simultaneous acquisition of two signals. It allows evaluating the resolution, which fulfills a certain dynamic range (DR) in the case of multiple signals with different powers. Experimental results with software-defined radios (SDRs) confirm our simulations. It shows that we are able to acquire an intra-quantum signal due to the contribution of a stronger transmission, which makes it cross the quantization levels. Some insights about another way to exceed the theoretical DR with the inherent noise in electrical systems are also provided. Thus, we propose to give the ADC required resolution to detect an intra-quantum signal when simultaneously received with a stronger one which, to the best of our knowledge, has never been thoroughly studied.
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624 |
Please write an abstract with title: VERA: Virtual Environments Recording Attention, and key words: Task analysis, Electroencephalography, Physiology, Atmospheric measurements, Particle measurements, Virtual environments, Medical diagnostic imaging. Abstract: Children with Attention Deficit Hyperactivity Disorder (ADHD), present different symptoms binding for everyday life, e.g. difficulty to be focused, impulsiveness, difficulty to regulate motor functions, etc. The most commonly prescribed treatment is the medication that can present side effects. Another solution is behavioural treatment that does not seem to present better results than medication for a higher cost. A novel method with growing interest is the use of neurofeedback (NF) to teach the patient to self-regulate symptoms by herself, through the visualisation of the brain activity in an understandable form. Moreover, virtual reality (VR) is a supportive environment for NF in the context of ADHD. However, before proceeding the NF, it is important to determine the features of the physiological signals corresponding to the symptoms' appearance. We present here a novel framework based on the joint measurement of electroencephalogram (EEG) and sight direction by equipment that can be embedded in VR headset, the goals being to estimate attentional state. In parallel to the signal acquisition, attentional tasks are performed to label the physiological signals. Features have been extracted from the signals and machine learning (ML) models have been applied to retrieve the attentional state. Encouraging results have been provided from the pilot study with the ability to make the right classification in multiple scenarios. Moreover, a dataset with the labelled physiological signals is under development. It will help to have a better understanding of the mechanism behind ADHD symptoms.
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625 |
Please write an abstract with title: Analysis of Parameters Variations in Brain Emotional Learning Controller, and key words: System performance, Heuristic algorithms, Velocity control, DC motors, Copper, Dynamical systems, Tuning. Abstract: This paper presents the design of BELC through the study of its parameters variations. The design of BELC involves the generation of emotional cues and sensory signals from the system states and inputs and the appropriate selection Amygdala and OFC learning factors. The generation of emotional cues are system dependent and therefore different functions are used for emotional cues for different applications. A two phase design approach consisting of imitative learning and performance enhancement, BELC is designed based on the data obtained from reference controller. The effects of the parameter variations are analyzed through Hardware-in-Loop implementation of BELC for a dynamical system. Formulation of certain emotional cues for BEL can significantly improve the system performance as compared with existing controllers.
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626 |
Please write an abstract with title: New substrates for MOEMS, and key words: Wafer bonding, Substrates, Silicon, Photodetectors, Surface contamination, Computational Intelligence Society, Diodes, Optical materials, Conductivity, Surface cleaning. Abstract: Bonded hydrophobic wafer pairs (PEW wafers) are applied as alternative substrates for optical devices (pin-diodes and complex MOEMS). Important parameters of diodes are analysed at temperatures up to 160/spl deg/C (dark current, photocurrent, CV-curves, rise time). Diodes produced on bonded hydrophobic wafer pairs show a similar or better behaviour than components prepared on the standard epitaxial wafers.
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627 |
Please write an abstract with title: Channel estimation with array processing for the uplink of UMTS-TDD, and key words: Channel estimation, Array signal processing, Performance analysis, Direction of arrival estimation, Bit error rate, Fading, Multipath channels, Maximum likelihood estimation, Signal to noise ratio, Diversity reception. Abstract: Channel estimation is critical to coherent RAKE receiver performance. This paper deals with channel estimation based on the standard algorithm suggested for UTRA-TDD by 3GPP. It proposes a spatial pre-combination technique that exploits the spatial structure of the received multipath signal to improve the channel estimator performance. Self and multiple access interference is partially cancelled before the channel estimation algorithm. The performance of the estimation algorithm is assessed by resorting to simulations in typical UMTS-TDD scenarios and the correlation coefficients between the complex channel and the estimates are computed. The effect of imperfect channel estimation on the performance of RAKE1D and RAKE2D receivers is analyzed in a multiuser scenario.
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628 |
Please write an abstract with title: A control switching theory for supervisory control of discrete event systems, and key words: Control systems, Supervisory control, Discrete event systems, Automatic control, Intelligent sensors, Redundancy, Observability, Reconfigurable logic, Hardware, Process design. Abstract: In this paper, we introduce the concept of switching from one supervisory control to another one when changes in the state of an embedded sensory network occur. The sensory devices are assumed to be single functional, that is, they are programmed to observe and report only one event. The switching model is built based on the two criteria of language observability and state synchronization. Switching model is the basis for a megacontroller, which monitors the state of the sensory network embedded in the plant as well as the state of the supervisor in charge. Every time the state of this network changes, the megacontroller reconfigures the control system by finding an appropriate supervisor.
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629 |
Please write an abstract with title: Potential-based online policy iteration algorithms for Markov decision processes, and key words: Optimization, Stochastic processes, Steady-state, Sensitivity analysis, Markov processes, Approximation algorithms, Convergence, Communication networks, Transportation, State-space methods. Abstract: Performance potentials play a crucial role in performance sensitivity analysis and policy iteration of Markov decision processes. The potentials can be estimated on a single sample path of a Markov process. In this paper, we propose two potential-based online policy iteration algorithms for performance optimization of Markov systems. The algorithms are based on online estimation of potentials and stochastic approximation. We prove that with these two algorithms the optimal policy can be attained after a finite number of iterations. A simulation example is given to illustrate the main ideas and the convergence rates of the algorithms.
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630 |
Please write an abstract with title: Design concept of a human-like robot head, and key words: Humanoid robots, Head, Human robot interaction, Robot sensing systems, Computer science, System testing, Face detection, Skin, Muscles, Neck. Abstract: For humanoid robots able to assist humans in their daily life, the capability for adequate interaction with human operators is a key feature. If one considers that more than 60% of human communication is conducted non-verbally (by using facial expressions and gestures), an important research topic is how interfaces for this non-verbal communication can be developed. To achieve this goal, several robotic heads have been designed. However, it remains unclear how exactly such a head should look like and what skills it should have to be able to interact properly with humans. This paper describes an approach that aims at answering some of these design choices. Based on parameters obtained from a simulation system that was used to test facial expressions, the design of a human-like head developed at the University of Kaiserslautern is described. Additionally, the mechatronical design of the head and the accompanying neck joint are given. Finally, a real-time capable method for image based face detection is presented, which is a basic ability needed for interaction with humans.
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631 |
Please write an abstract with title: An investigation of efficient grid-less treecode Poisson solvers for charged particle simulations, and key words: Plasma applications, Plasma simulation, Dielectric materials, Plasma materials processing, Plasma transport processes, Plasma density, Integrated circuit interconnections, Conductivity, Organic materials, Etching. Abstract: Summary form only given, as follows. In this work we consider the development of an efficient gridless approach for charged particle simulations. The method is based on a treecode algorithm Treecode algorithms have been used extensively in the study of fluid dynamics. The method has been applied to many types of problems outside of plasma physics. This work focuses on the development of treecode algorithms for problems in plasma physics. In this work, the treecode is used to compute the electrostatic potential.
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632 |
Please write an abstract with title: High-flux Attosecond Source at 100 kHz Repetition Rate, and key words: Data acquisition, Measurement by laser beam, Europe, Space charge, Solids, Solid lasers, Laser applications. Abstract: Attosecond pulses were widely utilized to investigate ultra-fast phenomena in the natural time scale of electron motion - attosecond (10 −18 s) - since its first demonstrations 20 years ago [1] , [2] . However, the repetition rate of most attosecond sources were limited to several kHz, which hindered many applications such as the photoelectron emission from solids where the space charge effect is needed to be alleviated, and the statistic measurements where less events every laser shot are preferred. Hence, to achieve high signal-to-noise ratio, the only method is to increase the repetition rate. In addition, the substantially shortened time for data acquisition is beneficial for most experiments. Thanks to the high-repetition-rate (HR) laser, HR attosecond pulses are possible now.
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633 |
Please write an abstract with title: SPICE macro models for annular MOSFETs, and key words: SPICE, MOSFETs, Circuits, Geometry, Semiconductor device modeling, Radiation hardening, Costs, Single event upset, CMOS process, Solid modeling. Abstract: MOSFETs with annular, or enclosed, geometries are now finding frequent use in rad-hard by design (RHBD) approaches to designing custom CMOS ASICs for aerospace applications. Unfortunately, these devices are not accurately modeled by the BSIM3 models normally provided for devices with ordinary rectangular gates. We present a SPICE macro model for an annular n-channel MOSFET to account for the annular geometry effects on gate overlap capacitance and output conductance.
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634 |
Please write an abstract with title: New developments in magnetic confinement of plasmas, and key words: Magnetic confinement, Plasma confinement, Toroidal magnetic fields, Plasma temperature, Tokamaks, Mirrors, Ignition, Steady-state, Plasma density, Fusion reactors. Abstract: As of to day the largest effor in the field of thermonuclear fusion is devoted to the magnetic confinement approach. Within this approach, the Tokamak line which has received large attention since 1970, is being given the largest possible support, to reach ignition in the 1980's. This goal is being approached with experiments sufficiently large to accomodate plasma currents beyond 3 MA but with a variety of magnetic and geometrical parameters. An optimization of these parameters would imply the knowledge of reliable scaling laws on confinement and heating of plasmas: unfortunately the present status of the experimental research does not offer a clear understanding of toroidally confined plasmas beyond 1÷2 keV of temperature or beyond 50 ms of confinement time. In the paper the present status, the progress envisaged for the near future, the milestones to be reached and the possible options are discussed with particular reference to the magnet development required.
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Please write an abstract with title: Hybrid analytical and data-driven modeling based instance-transfer method for power system online transient stability assessment, and key words: Analytical models, Power system stability, Mathematical model, Computational modeling, Stability criteria, Physics, Hybrid power systems. Abstract: Data-driven methods are widely concerned and show good effects in online transient stability assessment. However, tedious and time-consuming sample collection process is always neglected. In power systems, continuous changes in operation mode require repetitive sample collection process, underlining importance of collection efficiency. To achieve high sample collection efficiency after operation mode change, a new instance-transfer method based on compressing and matching strategy is proposed, by which useful previous samples are inherited directly for new sample base construction. Further, a hybrid model is put forward to guarantee rationality in sample similarity comparison and selection, where high-importance features of analytical models are introduced to data-driven methods. Meanwhile, data-driven method is also utilized to realize fast error correction of analytical models in the hybrid model, helping achieve fast and accurate post-disturbance transient stability assessment. As a paradigm, scheme for online critical clearing time (CCT) estimation is concerned, where integrated extended equal area criterion (IEEAC) and extreme learning machine (ELM) are used as analytical model and data-driven error correction model part respectively. Results validate effectiveness of the proposed method.
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Please write an abstract with title: Bases of motifs for generating repeated patterns with wild cards, and key words: Sequences, Computational biology, Biological system modeling, Educational institutions, Frequency, Explosions, Computational efficiency, Costs, Biology computing, Entropy. Abstract: Motif inference represents one of the most important areas of research in computational biology, and one of its oldest ones. Despite this, the problem remains very much open in the sense that no existing definition is fully satisfying, either in formal terms, or in relation to the biological questions that involve finding such motifs. Two main types of motifs have been considered in the literature: matrices (of letter frequency per position in the motif) and patterns. There is no conclusive evidence in favor of either, and recent work has attempted to integrate the two types into a single model. In this paper, we address the formal issue in relation to motifs as patterns. This is essential to get at a better understanding of motifs in general. In particular, we consider a promising idea that was recently proposed, which attempted to avoid the combinatorial explosion in the number of motifs by means of a generator set for the motifs. Instead of exhibiting a complete list of motifs satisfying some input constraints, what is produced is a basis of such motifs from which all the other ones can be generated. We study the computational cost of determining such a basis of repeated motifs with wild cards in a sequence. We give new upper and lower bounds on such a cost, introducing a notion of basis that is provably contained in (and, thus, smaller) than previously defined ones. Our basis can be computed in less time and space, and is still able to generate the same set of motifs. We also prove that the number of motifs in all bases defined so far grows exponentially with the quorum, that is, with the minimal number of times a motif must appear in a sequence, something unnoticed in previous work. We show that there is no hope to efficiently compute such bases unless the quorum is fixed.
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637 |
Please write an abstract with title: Integrating 6LoWPAN Security with RPL Using The Chained Secure Mode Framework, and key words: Social computing, Protocols, Wireless personal area networks, Authentication, Routing, Routing protocols, Security. Abstract: The IPv6 over Low-powered Wireless Personal Area Network (6LoWPAN) protocol was introduced to allow the transmission of Internet Protocol version 6 (IPv6) packets using the smaller-size frames of the IEEE 802.15.4 standard, which is used in many Internet of Things (IoT) networks. The primary duty of the 6LoWPAN protocol is packet fragmentation and reassembly. However, the protocol's standard currently does not include any security measures, not even authenticating the fragments' immediate sender. This lack of immediate-sender authentication opens the door for adversaries to launch several attacks on the fragmentation process, such as the buffer-reservation attacks that lead to a Denial of Service (DoS) attack and resource exhaustion of the victim nodes. This paper proposes a security integration between 6LoWPAN and the Routing Protocol for Low Power and Lossy Networks (RPL) through the Chained Secure Mode (CSM) framework as a possible solution. Since the CSM framework provides a mean of immediate-sender trust, through the use of Network Coding (NC), and an integration interface for the other protocols (or mechanisms) to use this trust to build security decisions, 6LoWPAN can use this integration to build a chain-of-trust along the fragments routing path. A proof-of-concept implementation was done in Contiki Operating System (OS), and its security and performance were evaluated against an external adversary launching a buffer-reservation attack. The results from the evaluation showed significant mitigation of the attack with almost no increase in power consumption, which presents the great potential for such integration to secure the forwarding process at 6LoWPAN Adaptation Layer.
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638 |
Please write an abstract with title: Study of pigment influence in high density polyethylene electrical strength, and key words: Pigmentation, Polyethylene, Polymers, Titanium, Chemicals, Dielectric materials, Dielectrics and electrical insulation, Temperature, Calorimetry, Atmospheric measurements. Abstract: In this work, the TiO/sub 2/ pigment influence in HDPE dielectric strength was analyzed. Chemical and structural characterizations were made to identify changes during the processing and the influence in the electrical properties. Formulations containing 0, 0.5, 1, 2.5, 4 and 6 of titanium dioxide were processed by extrusion and injection molding with stabilization-antioxidants, ultraviolet stabilizers and plasticizers. The electrical strength tests were analyzed by the statistical distribution of Weibull, and the maximum likelihood method. The high concentrations present lower values to electrical strength. The /spl beta/ parameter could be using to insulator particles dispersion. The TiO/sub 2/ concentration variation shows that these incorporations implicate strength value increase has a maximum (5,35 MV/cm). High pigment concentration induces a fall in property values. Observing the /spl beta/parameter, minimum experimental electric field (Ebmin) and electric strength value, found that the best electric perform formulation was the formulation with 2.5% TiO/sub 2/ weight.
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639 |
Please write an abstract with title: A Deterministic and Probabilistic Prediction Method for Short- Term Photovoltaic Power Considering Spatial Correlation, and key words: Photovoltaic systems, Training, Electrical engineering, Correlation, Error probability, Predictive models, Probabilistic logic. Abstract: With the application of distributed photovoltaics in recent years, spatial correlation is necessary to improve forecasting accuracy. Therefore, a deterministic and probabilistic forecasting method of short-term photovoltaic power considering spatial correlation is proposed in this paper. This method firstly analyzes the spatial correlation of multiple photovoltaic sequences of similar power stations and selects the reference photovoltaic sequence with a strong correlation. Then, an approach is proposed for selecting similarity days based on grey correlation degree theory. The selected similarity days are used as a training model, and Extreme Gradient Boosting (XGBoost) is utilized to construct a prediction model to obtain single-value forecasting results. Finally, by obtaining the corresponding error probability density function and error distribution interval, and adding up to the single-value forecasting result, the photovoltaic power probability prediction can be realized. The effectiveness of the proposed method is verified by the simulation.
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640 |
Please write an abstract with title: Experimental characterization of materials with controlled Curie temperature for domestic induction heating applications, and key words: Temperature measurement, Temperature distribution, Magnetic resonance imaging, Ferromagnetic materials, Data models, Temperature control, Permeability. Abstract: The use of materials with controlled electromagnetic properties, such as Curie temperature, for the development of different domestic induction heating applications can improve their safety, energy efficiency and performance.In this article, a measurement system for the magnetic characterization of ferromagnetic materials is presented. The study focuses on materials with low Curie temperature, since typically the information provided by the manufacturers of this type of alloys is limited, giving only the Curie point. It has been obtained the value of its magnetic permeability for different conditions of temperature, excitation current and frequency. These data are useful to carry out simulations of different induction heating applications and design power converters for these systems.The results obtained confirm the manufacturer’s Curie point and also provide the magnetic permeability values and their dependencies for use in simulations or system design.
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641 |
Please write an abstract with title: Evaluation of waste heat recovery of electrical powertrain with electro-thermally coupled models for electric vehicle applications, and key words: Heat pumps, Waste heat, Resistance heating, HVAC, Mechanical power transmission, Heating systems, Refrigerants. Abstract: The mile range of an electric vehicle (EV) may be reduced significantly in cold weather owing to the energy demand for meeting thermal comfort in the vehicle cabin, as waste heat from a combustion engine is not available for this purpose. Various heat pump-based heating, ventilation, and air conditioning (HVAC) systems can be employed to absorb the heat energy from the surroundings and/or the waste heat from the electrical powertrain to facilitate cabin thermal comfort, thereby extending the EV mile range. However, there is a lack of research on the electro-thermally coupled modelling and evaluation of the thermal performance of HVAC systems. This paper proposes electro-thermally coupled models for the electrical machine and inverter by modelling the key electromagnetic quantities as functions of the torque and speed based on offline parameter extraction from two-dimensional electromagnetic finite element analysis. The proposed electro-thermally coupled models, which are computationally efficient, are integrated into HVAC thermofluid simulation. Comparative studies of three heat pump-based HVAC architectures (conventional ambient heat only, waste heat only, and dual heat source) are performed using the proposed electro-thermally coupled models. The dual heat source HVAC architecture exhibits superior thermal performance over its counterparts in cold weather conditions.
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642 |
Please write an abstract with title: Call for papers, and key words: Support vector machines, Equations, Neural networks. Abstract: Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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643 |
Please write an abstract with title: Comparison of noise and emission characteristics between individually operated NbC/Nb and Ir field emitter array cathodes and etched W[100] emitters, and key words: Niobium compounds, Field emitter arrays, Cathodes, Etching, Temperature distribution, Fluctuations, Tungsten, Motion pictures, Digital cameras, Phosphors. Abstract: Oriented single crystal tungsten field emitters mounted on a filament were fabricated using electrolytic etch. The emission pattern of the W emitters was observed and recorded using digital movie camera, allowing the correlation of phosphor patterns with continuous current data. The W tips were operated at room temperature and at temperatures up to 1000 K. Current fluctuations relative to the mean within consecutive short time segments were recorded and their distribution was plotted. The mean /spl Delta/I/I was determined as a function of residual pressure. I(V) characteristics were measured. Emission stability was analyzed using s-i charts. The results were compared to the short-term current fluctuations previously observed from single NbC/Nb field emitters.
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644 |
Please write an abstract with title: Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities, and key words: Low earth orbit satellites, Satellite navigation systems, Satellite broadcasting, Broadband antennas, Earth, Wireless communication, Modulation. Abstract: More and more satellites are populating the sky nowadays in the Low Earth orbits (LEO). Most of the targeted applications are related to broadband and narrowband communications, Earth observation, synthetic aperture radar, and internet-of-Things (IoT) connectivity. In addition to these targeted applications, there is yet-to-be-harnessed potential for LEO and positioning, navigation, and timing (PNT) systems, or what is nowadays referred to as LEO-PNT. No commercial LEO-PNT solutions currently exist and there is no unified research on LEO-PNT concepts. Our survey aims to fill the gaps in knowledge regarding what a LEO-PNT system entails, its technical design steps and challenges, what physical layer parameters are viable solutions, what tools can be used for a LEO-PNT design (e.g., optimisation steps, hardware and software simulators, etc.), the existing models of wireless channels for satellite-to-ground and ground-to-satellite propagation, and the commercial prospects of a future LEO-PNT system. A comprehensive and multidisciplinary survey is provided by a team of authors with complementary expertise in wireless communications, signal processing, navigation and tracking, physics, machine learning, Earth observation, remote sensing, digital economy, and business models.
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645 |
Please write an abstract with title: Inverse study of formation parameters by Rayleigh waves in multilayered media containing low-velocity layers, and key words: Least squares methods, Genetic algorithms, Optimization methods, Evolution (biology), Genetic mutations, Displays, Frequency. Abstract: Shear wave (S-wave) velocity profile inversion using Rayleigh waves is studied. At first, the relation of all modes, especially in case of low-velocity layer, to medium structure is investigated. Then, the inverse problem is studied based on the first and higher modes. It adopted the genetic algorithm (GA) to conduct this paper since this problem is highly nonlinear. It is found that GA is good for inverse problem of Rayleigh wave. The influence of some parameters is analyzed and satisfied result obtained.
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646 |
Please write an abstract with title: Asynchronous implementation of transient suppression in tunable IIR filters, and key words: IIR filters, Finite impulse response filter, Digital filters, Delay, Computational complexity, Filtering, Electromagnetic transients, Clocks, Power dissipation, Signal processing. Abstract: In many applications we may want to control digital filters on-line and change their characteristics, like the passband width or group delay. IIR filters often provide more efficient implementation but they may suffer from long transients caused by sudden coefficient changes. Techniques are known to suppress these transients by modifying the state (or delay) variables of the filter, but they suffer from high computational complexity, high processing speed, and may require intolerable processing delay before the coefficient change. We propose a practical asynchronous implementation to avoid high-frequency processing. Closed-form expressions for the asynchronous system are derived and their complexity is analyzed both analytically and with a design example.
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647 |
Please write an abstract with title: Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections, and key words: Meteorology, Atmospheric modeling, Spatial resolution, Earth, Climate change, Biological system modeling, Adaptation models. Abstract: Projection of changes in extreme indices of climate variables such as temperature and precipitation are critical to assess the potential impacts of climate change on human-made and natural systems, including critical infrastructures and ecosystems. While impact assessment and adaptation planning rely on high-resolution projections (typically in the order of a few kilometers), state-of-the-art Earth System Models (ESMs) are available at spatial resolutions of few hundreds of kilometers. Current solutions to obtain high-resolution projections of ESMs include downscaling approaches that consider the information at a coarse-scale to make predictions at local scales. Complex and non-linear interdependence among local climate variables (e.g., temperature and precipitation) and large-scale predictors (e.g., pressure fields) motivate the use of neural network-based super-resolution architectures. In this work, we present auxiliary variables informed spatio-temporal neural architecture for statistical downscaling. The current study performs daily downscaling of precipitation variable from an ESM output at 1.15 degrees (115 km) to 1/4 degrees (25 km) over one of the most climatically diversified countries, India. We showcase significant improvement gain against two popular state-of-the-art baselines with a better ability to predict statistics of extreme events. To facilitate reproducible research, we make available all the codes, processed datasets, and trained models in the public domain.
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648 |
Please write an abstract with title: 8.6fJ/step VCO-Based CT 2<sup>nd</sup>-Order <tex>$\Delta\Sigma$</tex> ADC, and key words: Voltage-controlled oscillators, Thermal noise, Quantization (signal), Solid state circuits, Conferences, Power demand, Bandwidth. Abstract: A purely VCO-based continuous-time (CT), single-loop second-order △Σ ADC is proposed in this work. Two ring oscillators are used as integrators to perform second-order quantization noise shaping. The proposed CT ADC does not require additional circuit for excess loop delay compensation. A current-reuse DAC architecture is proposed to simultaneously reduce ADC noise and power consumption. A 65nm prototype consumes 105μW from 1V supply at sampling frequency of 32.6MHz, and achieves a walden FoM of 8.6fJ/step over 2.3MHz bandwidth, which is the best among current CT △Σ ADCs.
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649 |
Please write an abstract with title: A flexible S-matrix algorithm for the design of folded waveguide filters, and key words: Algorithm design and analysis, Filters, Transmission line matrix methods, Scattering, Apertures, Waveguide discontinuities, Filtering theory, Topology, Educational institutions, Software measurement. Abstract: Based on a versatile S-matrix formulation, a flexible design concept for folded waveguide filters is presented. Even- and odd-order filters can be designed with transmission zeros placed arbitrarily. Different configurations are shown to achieve responses, which satisfy a wide range of possible filter requirements. The process is validated by comparison with both commercially available software and measurements.
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650 |
Please write an abstract with title: An investigation of attention mechanisms in histopathology whole-slide-image analysis for regression objectives, and key words: Analytical models, Computer vision, Histopathology, Computational modeling, Conferences, Focusing, Predictive models. Abstract: Analysis of whole-slide-images (WSIs) of histopathology tissue sections remains challenging due to the gigapixel scale of these images, which often necessitates their division into smaller image tiles. Recently, attention mechanisms have been successfully applied to alleviate the tile-to-slide challenges for classification tasks based on WSIs. In this study, we explore the potential of attention mechanisms in regression settings, by comparing four modelling approaches, two of which use attention mechanisms. We evaluate these models both in a simulated experiment using the MNIST data set, and in real histopathology data sets focused on prediction of gene expression levels from WSIs, including an analysis of the local prediction performance using spatial transcriptomics. The MNIST simulation demonstrates that if only a small proportion of instances in a set of images contribute to the set-level regression label, attention mechanisms may be preferable to commonly applied weakly supervised models. When predicting gene expression from WSIs, the differences in performance between the models that we investigated were small. Nevertheless, we found some evidence that attention mechanisms may be more sensitive to domain shifts. In the regression-based task of gene expression prediction, the prediction performance in the present study appears to be limited by other factors rather than by the choice of modelling approach. Nevertheless, attention mechanisms appear promising for regression objectives and warrant further investigation.
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651 |
Please write an abstract with title: Adding Commonsense to Robotic Application Using Ontology-Based Model Retraining, and key words: Training, Adaptation models, Service robots, Knowledge based systems, Robot sensing systems, Hardware, Sensors. Abstract: In terms of the level of technological capability in the world today, the use of automated robotics is common in various fields. There are large projects going on in many industries that collaborate between robots and other robots, as well as humans and robots. In hospital environments, care for people with medical needs and their needs and used to make appropriate suggestions to their problems. Robots can also be found in certain areas that can respond quickly as an emergency rescue agent. Furthermore, robots, which can be seen in the hotel industry as waiters and as farm assistants in agriculture, have a great tendency to be used as multi-tasking agents in many fields. In each of these areas, robots must co-operate with humans. In that situation, the importance of the exchange of mutual knowledge between robots-robots and between humans-robots comes into the picture. What matters here is not only the quantitative vastness of knowledge but also the ability to understand each other in the same medium. Although the common sense that people need in their day-to-day work is completely obvious to humans, the commonsense knowledge domain needs to be implanted in robots. Whatever concept is defined for adding commonsense to robotics, it should be a consistent concept that can be logically constructed so that it can be understood by a machine. As will be discussed later in the paper, different methods have been used in various related works to add a different kind of domain knowledge to robotics. The objective of this paper is to provide an improved retrained model for robotics in order to give them the ability to act more human-like when performing tasks. By using the proposed model robots are able to answer the incomplete command or inquiries related to a given context. One of the objectives of this work is to use the ontology-based, commonsense-support existing knowledge base as a mechanism to retrain and build a new model.
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652 |
Please write an abstract with title: Android based Cloud Platform for Health Monitoring of COVID19 Affected Person, and key words: Temperature sensors, Temperature measurement, COVID-19, Pandemics, Clouds, Medical services, Real-time systems. Abstract: Healthcare is a human right that must be accessible to all disregarding the social or economic conditions of any human being. The burden on healthcare system has increased immensely in the last few months. The COVID19 pandemic has brought to the fore gaps in the healthcare system world over. The doctors and front-line workers are directly getting exposed to the virus and patients that might need other healthcare services are vulnerable to the exposure. These problems would be catered by the proposed device as it would be operated by the patients and the real time data can be collected by the doctors to assess the vital body parameters through cloud without being physically present in the same environment. The parameters that can be monitored are body temperature, pulse rate, and oxygen saturation level. Hence, the proposed device includes sensors for measuring the body temperature (i.e. LM35) and pulse and oxygen level (i.e. MAX30100). The experimental setup has been built using Android based Blynk Cloud Platform where data is collected from remote places and stored the cloud. It is further available for assessment by the healthcare professionals.
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653 |
Please write an abstract with title: Automatic methods for predicting machine availability in desktop Grid and peer-to-peer systems, and key words: Peer to peer computing, Availability, Grid computing, Computer science, Processor scheduling, Microcomputers, Time measurement, Educational institutions, Mathematics, Predictive models. Abstract: In this paper we examine the problem of predicting machine availability in desktop and enterprise computing environments. Predicting the duration that a machine will run until it restarts (availability duration) is critically useful to application scheduling and resource characterization in federated systems. We describe one parametric model fitting technique and two nonparametric prediction techniques, comparing their accuracy in predicting the quantiles of empirically observed machine availability distributions. We describe each method analytically and evaluate its precision using a synthetic trace of machine availability constructed from a known distribution. To detail their practical efficacy, we apply them to machine availability traces from three separate desktop and enterprise computing environments, and evaluate each method in terms of the accuracy with which it predicts availability in a trace driven simulation. Our results indicate that availability duration can be predicted with quantifiable confidence bounds and that these bounds can he used as conservative bounds on lifetime predictions. Moreover a nonparametric method based on a binomial approach generates the most accurate estimates.
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654 |
Please write an abstract with title: Digital Literacy and the Attitude of Educators Towards MOOC Platform in GCC Countries, and key words: Electronic learning, Information and communication technology, Market research, Globalization, Stakeholders. Abstract: This study is pursued to identify the digital literacy level required to implement Massive Open Online Course (MOOC) by educators in higher education institutions (HEIs) of Gulf Cooperation Council (GCC) countries. It is also intended to determine the attitude of educators in GCC towards the adoption of MOOC as a prospective e-learning initiative in education. In the light of that, proposing a unified GCC MOOC platform based on the information obtained is also considered as one of the main aspects to carry out as part of this study. MOOC is adopted by few higher education institutions in the Gulf countries; however, very little researches have been conducted to highlight the importance of digital literacy on educators' attitude towards educational technologies initiatives in GCC countries. There are also rare studies that cover the attitude of educators towards the adoption of MOOC in GCC. Most of the studies focus on the perception and attitude of learners and users but not the educators. This study will utilize “Digital Literacy Scale” (DLS) to measure the level of digital literacy of educators. While “Unified Theory of Acceptance and Use of Technology” (UTAUT) model is adapted to identify the attitude of educators towards MOOC as an e-learning platform. Consequently, this will lead to proposing a unified MOOC for GCC countries. Questionnaires will be administered on a sample of educators from universities and colleges in GCC countries that apply MOOC. In addition, observations and focus group interviews will be implemented to answer the questions of this study.
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655 |
Please write an abstract with title: An Effective Impedance-Phase Method for Sensorless Measurement of Li-ion Battery Cells’ Internal Temperature, and key words: Temperature measurement, Temperature sensors, Lithium-ion batteries, Temperature distribution, Impedance measurement, Battery charge measurement, Data models. Abstract: This paper proposes a sensorless method for measuring the internal temperature of lithium-ion (Li-ion) battery cells. The method calculates the impedance phase by injecting a small AC current to the battery. Afterward, the internal temperature is determined, in real-time, by an empirical fit model that correlates the internal temperature with the impedance phase of the battery cell at a predetermined frequency. The proposed method has high accuracy at a wide range of temperatures, in general, and at high temperatures, in specific, which is vital for preventing destructive temperature rise and thermal runaway. Derivation of the method followed by experimental verification using a commercial 3.8-V/2600-mAh Samsung Li-ion battery cell at temperatures between -20°C and +50°C is presented.
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656 |
Please write an abstract with title: Offline handwritten character classification of the same scriptural family languages by using transfer learning techniques, and key words: Feature extraction, Convolutional neural networks, Tuning, Task analysis, Machine learning, Convolution. Abstract: Transfer Learning by using Convolutional Neural Network has shown its outstanding performance in large scale image classification. India is a multi-script and multilingual country. Out of all languages, Telugu and Kannada have shared almost similar structure characters. Offline character recognition of both handwriting characters is a challenging task. Different feature extraction models have been used in character recognition studies. Convolutional Neural Network is used as efficiently supervised feature vector extraction. Feature vectors from large scale pre-trained ImageNet or COCO were proved more efficient than other script datasets for better result. Fine-tuning model of transfer learning was used in the studies for comparison studies.
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657 |
Please write an abstract with title: A robust framework with statistical learning method and evolutionary improvement algorithm for process real-time optimization, and key words: Robustness, Statistical learning, Optimization methods, Steady-state, Genetic algorithms, Frequency, Control systems, System performance, Convergence, Support vector machines. Abstract: This study proposes an effective framework for process real-time optimization and data-driven modeling method. The proposed RTO framework with evolutionary improvement algorithm does not wait for the steady-state and it corrects the set-point continuously through the similar way which genetic algorithm exploit to find optimal points. It can deal with higher frequency disturbances and is less influenced by control system performance. Moreover, it is able to address the convergence to suboptimal. Also, this study proposes statistical learning model (modified support vector machine) that is used in RTO framework. It is able to handle highly-nonlinearity and carry out parameter tuning easily. The performance of proposed method was successfully illustrated by means of RTO example.
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658 |
Please write an abstract with title: L(2,1)-coloring of the Fibonacci cubes, and key words: Hypercubes, Radio transmitters, Network topology, Evolutionary computation, Tree graphs, Radio frequency, Routing, Hamming distance, Communication networks, Wireless mesh networks. Abstract: An L(2, l)-coloring of a graph G is an assignment of labels from {0,1,..., A} to the vertices of G such that vertices at distance two get different labels and adjacent vertices get labels that are at least two apart. The X-number X(G) of G is the minimum value A such that G admits an L(2,1)-coloring. It is well known that the problem of determining the X-number is NP-hard. The Fibonacci cube network was recently proposed as an alternative to the hypercube network. Three different evolutionary algorithms are presented to find optimal or near optimal L(2,1)-coloring of the Fibonacci cubes. The algorithms are compared with the Petford-Welsh probabilistic algorithm
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659 |
Please write an abstract with title: Ageing Behaviours of Superhydrophobic and Icephobic Coatings on Overhead Line Systems, and key words: Aging, Thermal conductivity, Corona, Ice, Coatings, Surface treatment, Substrates. Abstract: The accretion of ice and pollution can lead to serious damage and failure of overhead line systems during icing events. CIGRE TB361 has detailed a family of advanced coatings which claim to be superhydrophobic or ice repellent and which can be deployed on power system equipment to reduce ice accumulation. This paper examines the performance of a commercial superhydrophobic coating NeverWet on aluminium alloy substrates. This coating achieved an average contact angle of 169.5° and the lowest sliding angle of 1.5°. A series of ageing tests were designed and conducted, including thermal ageing/cycling, corona exposure, ultraviolet exposure, and ambient outdoor exposure. The superhydrophobicity of samples was retained after all ageing tests with the exception of corona exposure.
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660 |
Please write an abstract with title: Coherent light scattering by cold atoms, and key words: Light scattering, Particle scattering, Optical propagation, Interference, Resonance light scattering, Backscatter, Photonic crystals, Random media, Atom lasers, Laser theory. Abstract: Propagation in a random medium is often described by a random walk and a diffusion coefficient. However in the mesoscopic regime, where wave properties cannot be neglected, interferences alter the diffusion process leading in extreme situations to strong (Anderson) localisation. The recent observation of coherent backscattering of light by laser cooled atoms has opened the way to new studies in previously not accessible regimes. Here we present some of the questions addressed by these experiments, allowing for a more complete understanding of the physical processes involved in this quantum mesoscopic regime
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661 |
Please write an abstract with title: "Telerobotic Application" in Workspace with Obstacles Defined in XML, and key words: Telerobotics, XML, Humans, Teleoperators, Automatic control, Manipulators, Military computing, Master-slave, Application software, Software design. Abstract: The presented paper describes a laboratory telerobotic system prepared to examine the usefulness and efficiency of our ideas about avoiding collisions with obstacles. The system is able to store in database information about positions of obstacles in the workspace. During the work system does not let the manipulator crash even the operator unintentionally wants to do it. All data describing the workspace with obstacles are stored in XML files. As slave, executive part of the whole system the industrial robot IRp-6 (manufactured in Poland, by ASEA license) is used. The master part of the system is the PC computer with trackball pointer – "Logitech TrackMan Marble FX".
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662 |
Please write an abstract with title: Comparison between two Kline–Fogleman Modified (KFm) based Stepped Airfoils for better Aerodynamic Performance, and key words: Automotive components, Computational fluid dynamics, Drag, Aerodynamics, Mathematical model, Finite element analysis, Viscosity. Abstract: This exploration predominantly centers around the streamlined attributes of Kline-Fogleman adjusted (KFm) airfoil. KFm arrangement airfoil family has better dependability and low slowing down which has made its utilization for low weight conveying flight. We have researched some streamlined attributes like lift coefficient, drag coefficient, and so on of KFm-2, and KFm-3 and made an examination with NACA 4412 airfoil. Spalart-Allmaras choppiness model is utilized on the ANSYS Fluent condition as the stream is in the transonic system. This recreation is analyzed at different methodologies like the angle of attack (AOA) reaching out from 0° to 15°. For a variety of Mach numbers reaching out from 0.3 to 0.6, the purpose of partition was made plans to utilize CFD examination. Computational assessments were coordinated to redesign the streamlined exhibition of the airfoil. The results made show that as much as the decrease in drag is possible by introducing the progression. But then, a tad of decrease in the lift was furthermore viewed. Commonly the target of this assessment was to numerically choose whether or not the streamlined execution of an airfoil can be improved by introducing a retrogressive standing up to step on the upper surface of the airfoil.
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663 |
Please write an abstract with title: Performance Models of Data Parallel DAG Workflows for Large Scale Data Analytics, and key words: Analytical models, Data analysis, Conferences, Computational modeling, Estimation, Predictive models, Data models. Abstract: Directed Acyclic Graph (DAG) workflows are widely used for large-scale data analytics in cluster-based distributed computing systems. Building an accurate performance model for a DAG on data-parallel frameworks (e.g., MapReduce) is critical to implement autonomic self-management big data systems. An accurate performance model is challenging because the allocation of preemptable system resources among parallel jobs may dynamically vary during execution. This resource allocation variation during execution makes it difficult to accurately estimate the execution time. In this paper, we tackle this challenge by proposing a new cost model, called Bottleneck Oriented Estimation (BOE), to estimate the allocation of preemptable resources by identifying the bottleneck to accurately predict task execution time. For a DAG workflow, we propose a state-based approach to iteratively use the resource allocation property among stages to estimate the overall execution plan. Extensive experiments were performed to validate these cost models with HiBench and TPC-H workloads. The BOE model outperforms the state-of-the-art models by a factor of five for task execution time estimation.
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664 |
Please write an abstract with title: A Group Theoretic Investigation of the Single-Wire Helix, and key words: Calibration, Blades, Microwave theory and techniques, Optical waveguides, Laboratories, Optical attenuators, Optical noise, Radio frequency, Equations, Waveguide theory. Abstract: This paper discusses the way in which symmetry groups may be utilized in the analysis of periodic microwave structures. The theory of group representations is introduced, and the relationship of these representations to the vector electromagnetic fields which are solutions to the Helmholtz equation (subject to the boundary conditions imposed by the microwave structure) is briefly explained. Also explained is the concept of time reversal. Symmetry analysis involves collecting all of the symmetry operations of a microwave structure into a group, and then finding the irreducible representations of that group. Each solution of the Helmholtz equation must belong to an irreducible representation of the space group, and by examining the irreducible representations it is possible to determine the symmetries and degeneracies of the waves. Symmetry analysis is employed to describe some of the characteristics of the waves of the unsupported wire helix and of the single-wire helix supported symmetrically by three dielectric rods. In particular, the conditions for the occurrence of branch crossings on the k-/spl beta/ diagram are discussed.
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665 |
Please write an abstract with title: The effects of quantum-well number on gain crosstalk in semiconductor optical amplifiers, and key words: Quantum wells, Crosstalk, Semiconductor optical amplifiers, Power generation, Power amplifiers, Optical amplifiers, Chirp modulation, Charge carrier lifetime, Frequency modulation, Linearity. Abstract: We report on crosstalk reduction in conventional semiconductor optical amplifiers, obtained by reducing the number of quantum wells in the active region. While the resulting decrease in carrier lifetime is not favorable for improving gain crosstalk (GXT), it is more than compensated for by the simultaneous reduction in gain and increase in saturation power. Experimental results show 2-channel GXT of -20 dB at a modulation frequency of 10 GHz, a fiber-coupled output power of +5 dBm (+2 dBm per channel), and a module gain of 15 dB.
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666 |
Please write an abstract with title: Electro-Optic Frequency Response Shaping using Embedded FIR Filters in Slow-Wave Modulators, and key words: Modulation, Silicon, Phase shifters, Finite impulse response filters, Transmission line matrix methods, Power transmission lines, Optical attenuators. Abstract: A novel method is presented to embed finite-impulse-response filters in slow-wave Mach-Zehnder modulators. This allows to adjust the electro-optic frequency response to the designer's needs. The filter is embedded by adding optical delay lines and optical crossings between phase shifter segments. The position of the delay lines and crossing in the modulator and the delay line length determine the final response. In this work, we provide a full analysis and modeling approach of the proposed technique and apply it to a silicon photonic modulator. However, the technique is generally applicable to slow-wave modulators and thus not limited to a silicon photonics platform. The modeling is verified using measurements on the manufactured devices. A shaped modulator is used in C-band transmission experiments with 56 Gb/s NRZ data over 3 km fiber to counteract chromatic dispersion and show the advantage over a standard modulator.
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667 |
Please write an abstract with title: Federated Generalized Face Presentation Attack Detection, and key words: Data models, Data centers, Face recognition, Servers, Training, Faces, Data privacy. Abstract: Face presentation attack detection (fPAD) plays a critical role in the modern face recognition pipeline. An fPAD model with good generalization can be obtained when it is trained with face images from different input distributions and different types of spoof attacks. In reality, training data (both real face images and spoof images) are not directly shared between data owners due to legal and privacy issues. In this article, with the motivation of circumventing this challenge, we propose a federated face presentation attack detection (FedPAD) framework that simultaneously takes advantage of rich fPAD information available at different data owners while preserving data privacy. In the proposed framework, each data owner (referred to as data centers) locally trains its own fPAD model. A server learns a global fPAD model by iteratively aggregating model updates from all data centers without accessing private data in each of them. Once the learned global model converges, it is used for fPAD inference. To equip the aggregated fPAD model in the server with better generalization ability to unseen attacks from users, following the basic idea of FedPAD, we further propose a federated generalized face presentation attack detection (FedGPAD) framework. A federated domain disentanglement strategy is introduced in FedGPAD, which treats each data center as one domain and decomposes the fPAD model into domain-invariant and domain-specific parts in each data center. Two parts disentangle the domain-invariant and domain-specific features from images in each local data center. A server learns a global fPAD model by only aggregating domain-invariant parts of the fPAD models from data centers, and thus, a more generalized fPAD model can be aggregated in server. We introduce the experimental setting to evaluate the proposed FedPAD and FedGPAD frameworks and carry out extensive experiments to provide various insights about federated learning for fPAD.
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668 |
Please write an abstract with title: Demo: Distracted Driving Detection, and key words: Pervasive computing, Conferences, Drives, Road safety, Automobiles, Vehicles, Accidents. Abstract: Rear-end collisions, which account for over 33% of crashes, are the most frequent type of accidents in the USA. According to reports on road safety, almost all rear-end collisions are due to the distracted driving behavior of other nearby drivers. Ego vehicles should detect such deviated driving behaviors on other cars and warn their drivers to avoid rear-end crashes. In this paper, we demonstrate such a distracted driving detection system through field trials with multiple test vehicles. The ego vehicle observes the distance to preceding and following vehicles and detects distracted driving behavior on follower vehicles. A warning is generated whenever the follower vehicle exhibits distracted driving behavior.
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669 |
Please write an abstract with title: Improved Extinction Angle Control for Subsequent Commutation Failure Mitigation in LCC-HVDC, and key words: HVDC transmission, Simulation, Current measurement, Conferences, Process control, Prediction methods, Harmonic analysis. Abstract: Extinction angle control is one of the main control strategies to mitigate the commutation failure in HVDC, but the problem of insufficient response speed and control precision still can't be solved effectively based on the current research on measured and predictive extinction angle control. Thus, an improved extinction angle control method to mitigate subsequent commutation failure is proposed. Firstly, the influence of voltage harmonics on the commutation process of HVDC system is analyzed, and the prediction method of extinction angle considering the voltage harmonics is proposed. Then, the predictive value of the subsequent commutation process is introduced into the original control logic of the system to improve extinction angle control. Finally, the proposed control method is simulated and verified based on the standard test system. The simulation results show that the method can improve the response speed and control precision of the extinction angle control to a certain extent, and thus can effectively mitigate the subsequent commutation failure in HVDC.
|
670 |
Please write an abstract with title: Boost Spectrum Prediction With Temporal-Frequency Fusion Network via Transfer Learning, and key words: Transfer learning, Hidden Markov models, Predictive models, Data models, Monitoring, Energy states, Correlation. Abstract: Modeling and predicting the radio spectrum is vital for spectrum management, such as spectrum sharing and anomaly detection. Nevertheless, the precise spectrum prediction is challenging due to the interference from both intra-spectrum and external factors. To tackle these complex internal and external correlations, we develop a model named TF$^2$AN, consisting of three components: 1) a robust signal detection algorithm based on image processing, 2) an attention-based Long Short-term Memory network to capture the temporal-frequency correlations, 3) a generalized fusion module to take the heterogeneous external factors into account. This structure shows prominent effectiveness for spectrum prediction on a single monitoring station with sufficient data. However, when the data derived from a single station is insufficient, the performance of the deep learning model will decline a lot. Considering that more than one monitoring station is deployed in practice, the new challenge becomes how to enhance our model by leveraging the data from multiple stations or frequency bands. Therefore, we further propose T-TF$^2$AN, a transfer learning-based framework for data augmentation and knowledge sharing in spectrum prediction. Compared to TF$^2$AN, better performance is achieved. Besides, the model interpretability and training efficiency are also discussed with two case studies, respectively.
|
671 |
Please write an abstract with title: Demonstration of Novel Silicon Optical Switching on Digital Radio over Fibre Link for Next-Generation Fronthaul, and key words: Optical fibers, Radio frequency, Optical fiber sensors, Sensitivity, Optical switches, Dynamic range, Silicon photonics. Abstract: We for the first time propose a silicon photonic switching architecture for digital radio-over-fibre fronthaul links. An RF input power dynamic range of 55dB is demonstrated for 8% EVM with system receiver sensitivity of -23.9dBm.
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672 |
Please write an abstract with title: Iterative enhancement scheme of synthesized color and depth images for immersive video system, and key words: Image coding, Image color analysis, Estimation, Data compression, Switches, Iterative methods. Abstract: Immersive video allows viewers to freely switch the viewpoints. The intensity of realistic experience greatly relies on the quality of synthesized depth maps. However, there exist distorted regions due to inaccurate depth estimation or compression.
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673 |
Please write an abstract with title: Privacy Preservation using Federated Learning and Homomorphic Encryption: A Study, and key words: Training, Data privacy, Privacy, Federated learning, Computational modeling, Soft sensors, Training data. Abstract: The resurgence of Artificial Intelligence (AI) and its broader adoption into major fields has revolutionized the operations of organizations and applications. AI depends on Machine Learning (ML) models that are suitably trained using data generated by global users. Preserving the privacy and security of global user’s data in ML and Deep Learning (DL) has emerged as a major concern. The advent of Federated Learning (FL) - an ML paradigm, has emerged as a solution for the privacy concerns related to traditional training models. FL is a decentralized training method that enables computation of well-trained models over remote data sources located at different geographical locations without sharing the training data to a centralized location. The aim of this study is to provide a detailed understanding of FL. This work focuses on the significant challenges and attacks associated with data privacy in FL and also the solutions that are available in addressing these attacks. This paper highlights the features and importance of Homomorphic Encryption (HE) towards privacy preservation in FL. This work also discusses open challenges and potential future scope and applications of FL.
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674 |
Please write an abstract with title: Design of sub-90 nm circuits and design methodologies, and key words: Design methodology, CMOS technology, Integrated circuit interconnections, Delay, Circuit synthesis, Space technology, Design engineering, Robustness, Wires, Routing. Abstract: Summary form only given. The tutorial discusses the design challenges of scaled CMOS circuits in sub-90 nm technologies and the design methodologies required in order to produce robust designs with the desired power-performance trade-off. We focus on four major components: design challenges of sub-90 nm CMOS circuits with particular emphasis on the implications of each individual device scaling element on circuit design; design methodologies for implementing robust circuits with desired power performance characteristics; managing leakage power; circuit design in the presence of uncertainty.
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675 |
Please write an abstract with title: Classification of Mild Cognitive Impairment and Alzheimer’s Disease from Magnetic Resonance Images using Deep Learning, and key words: Feature extraction, Magnetic resonance imaging, Image segmentation, Deep learning, Alzheimer's disease, Image edge detection, Markov random fields. Abstract: Mild cognitive impairment (MCI) is an early stage of Alzheimer's disease (AD). Since AD is unlikely to modify its related and intrinsic decay, early diagnosis is crucial, which gives patients a chance to rearrange their lives. Identifying the MCI level is essential, as it assists with further treatment and preliminary steps to control the forward progression towards AD. Brain tissue segmentation is an important aspect of clinical diagnostic tools, yielding excellent results compared to conventional segmentation methods or individual modalities. In this work, the Meta-Heuristic Markov Random Field Segmentation method is used to separate brain tissue, followed by the extraction of intensity, texture, and shape-based features of the segmented Cerebral Spinal Fluid (CSF) and Grey Matter (GM). With the proposed technique, the pre-processing of the input image improves quality and reduces noise. The segmentation is based on multilevel thresholding using Particle Swarm Optimization (PSO) and further improving using Markov Random Field model. Segmented brain tissue (GM and CSF) are used to extract features on shape, intensity, and texture. The four-layer deep neural network is used to classify features. The proposed method is tested with the standard dataset from Alzheimer's disease-neuro imaging (ADNI). The proposed method achieved a high accuracy rate of 97.5%. A comparison with the previous work yielded results that demonstrate this method's superiority in terms of the classification of AD and MCI.
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676 |
Please write an abstract with title: Active Pressure Control and Experimental Application Based on Automotive Hydraulic Control Unit, and key words: Wires, Force, Wheels, Hydraulic systems, Valves, Pressure control, Regulation. Abstract: Brake by wire system can realize active braking and adjust wheel braking force independent on driver's operation, which is the key technology of autonomous vehicle. The hydraulic pressure adjustment during active braking plays a role to realize the upper level's planning. The working mode of the hydraulic control unit for active braking is systematically analyzed, and the hydraulic response characteristics of the valve are tested and analyzed on the experimental bench. Then, a hydraulic control method using valve regulation is proposed. Finally, the application verification and comparative analysis are carried out through experiments.
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677 |
Please write an abstract with title: Self-Assessment of the Computer Engineering Career at the Universidad Americana, and key words: accreditation, Higher Education careers, educational offer, self-assessment process. Abstract: The accreditation of Higher Education careers aims to certify the quality of the educational offer. This paper presents a summary of the result of the self-assessment process developed in the Computer Engineering Career at the Universidad Americana, through the National Model of Higher Education Accreditation, established by the National Agency for the Evaluation and Accreditation of Higher Education, The result of the process strengthened teamwork between teachers and university authorities in order to verify compliance with the quality criteria defined for the accreditation of degree courses in Paraguay.
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678 |
Please write an abstract with title: Stair Climbing Capability-Based Dimensional Synthesis for the Multi-legged Robot, and key words: Legged locomotion, Automation, Simulation, Conferences, Buildings, Prototypes, Interference. Abstract: Staircase is a typical obstacle for the legged robot to overcome in buildings. This paper studies the stair climbing capability-based dimensional synthesis for a hexapod legged robot, i.e., exploring how to determine the leg length and the longitudinal body length concerning the target staircase in the mechanical design stage. In climbing a staircase, leg-staircase interference is one of the predominant issues. The three possible interference cases are illustrated in detail with a 2-DOF (degree of freedom) leg mechanism and the staircase size, based on the predefined tripod gait sequence. The mathematical relationships between the leg length, longitudinal body length, and the target staircase size are derived. The leg length and the body length are finally determined with the target staircase size. The virtual simulations and prototype experiments verify the effectiveness of the dimensional synthesis for the hexapod robot.
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679 |
Please write an abstract with title: Diagnostics of the Cavitation Modes in the Heavy Petroleum Products Pumping Systems, and key words: Clustering algorithms, Training, Artificial neural networks, Frequency measurement, Fasteners, Oils. Abstract: The article formalizes the problem of registering the cavitation's modes of screw pumps. Possible approaches to solving the problem are given. The "averaged operator" algorithm is proposed according to the operator in the form of production rules of the type "IF-THEN". In this article propose using of a neural network and cluster analysis to determine cavitation modes.
|
680 |
Please write an abstract with title: Multipath Propagation Analysis for Vehicle-to-Infrastructure Communication at 60 GHz, and key words: Automobiles, Antenna measurements, Antennas, Receivers, Delays, Buildings, Roads. Abstract: The paper deals with an analysis of multipath propagation environment in the 60 GHz band using a pseudo-random binary sequence-based time-domain channel sounder with 8 GHz bandwidth. The main goal of this work is to analyze the multipath components (MPCs) propagation between a moving car carrying a transmitter with an omnidirectional antenna and a fixed receiver situated in a building equipped with a manually steered directional horn antenna. The paper briefly presents the time dependence of the dominant MPC magnitudes, shows the effect of the surrounding vegetation on the RMS delay spread and signal attenuation, and statistically evaluates the reflective properties of the road which creates the dominant reflected component. To understand how the MPCs propagate through the channel we measured and analyzed the power and the RMS delay spread distributions in the static environment surrounding the car using an automated measuring system with a controlled receiver antenna tracking system. We give some examples of how the MPC magnitudes change during the antenna tracking and demonstrate that a building and a few cars parked close to the measuring car create a lot of MPCs detectable by the setup with a dynamic range of about 50 dB.
|
681 |
Please write an abstract with title: Imaging of a double helical structure in the reversed field pinch, and key words: Magnetic flux, Toroidal magnetic fields, Image reconstruction, Plasma measurements, Tomography, Plasma x-ray sources, Surface reconstruction, Plasma confinement, Magnetohydrodynamics, Magnetic field measurement. Abstract: X-ray tomography and Poincare/spl acute/ reconstructions with the ORBIT code allow imaging of coherent structures emerging in a magnetized fusion plasma when chaos in the magnetic field is reduced.
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682 |
Please write an abstract with title: FaaScinating Resilience for Serverless Function Choreographies in Federated Clouds, and key words: FAA, Resilience, Codes, Costs, Schedules, Runtime, Python. Abstract: Cloud applications often benefit from deployment on serverless technology Function-as-a-Service (FaaS), which may instantly spawn numerous functions and charges users for the period when serverless functions are running. Maximum benefit is achieved when functions are orchestrated in a workflow or function choreographies (FCs). However, many provider limitations specific for FaaS, such as maximum concurrency or duration often increase the failure rate, which can severely hamper the execution of entire FCs. Current support for resilience is often limited to function retries or try-catch, which are applicable within the same cloud region only. To overcome these limitations, we introduce rAFCL, a middleware platform that maintains reliability of complex FCs in federated clouds. In order to support resilient FC execution under rAFCL, our model creates an alternative strategy for each function based on the required availability specified by the user. Alternative strategies are not restricted to the same cloud region, but may contain alternative functions across five providers, invoked concurrently in a single alternative plan or executed subsequently in multiple alternative plans. With this approach, rAFCL offers flexibility in terms of cost-performance trade-off. We evaluated rAFCL by running three real-life applications across three cloud providers. Experimental results demonstrated that rAFCL outperforms the resilience of AWS Step Functions, increasing the success rate of entire FC by 53.45%, while invoking only 3.94% more functions with zero wasted function invocations. rAFCL significantly improves availability of entire FCs to almost 1 and survives even after massive failures of alternative functions.
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683 |
Please write an abstract with title: An overview of high voltage dielectric material for traveling wave kicker magnet application, and key words: Voltage, Dielectric materials, Magnetic materials, Ceramics, Power transmission lines, Impedance, Capacitors, Particle beams, Structural beams, Linear particle accelerator. Abstract: Pulsed high power fast kickers are being used to change beam trajectories in particle accelerators. The fast rise and fall time of pulse waveform demands a transmission line structure for the kicker deflector design. The ideal design will be parallel metal plates. However, it uses very long straight sections to achieve the required deflection. In accelerators with constrained straight sections, high permeability materials such as ferrite have to be used to gain deflection efficiency. The transmission line kicker magnet is also referred as traveling wave kicker magnet. Its construction is based on distributed L-C cells along the longitudinal direction. The magnetic cells and capacitive cells are interleaved to simulate the characteristic impedance of a transmission line to minimize pulse reflection, and provide adequate frequency bandwidth to transmit the kicker pulse with fast rise and fall time. The magnetic cells are usually made of fertile ceramics, but the capacitive cells have been made with different materials. For traveling wave kickers with higher impedance, the parallel plate vacuum capacitor has been used in CERN and KEK design. Others have used ceramic capacitors, printed circuit boards, and high permittivity ceramics as the capacitive cell. The high dielectric material has the advantage of compactness for low impedance kicker magnet construction. It continues to be very attractive for future kicker magnet applications. The high voltage phenomena associated with high dielectric ceramic materials have been widely reported in many industrial application areas. Their implication in the traveling wave magnet application has to be well understood. In this presentation, the areas requiring further quantitative study will be outlined.
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684 |
Please write an abstract with title: A Review of Fault Location Algorithms Utilising Travelling Wave, Wavelet Transform and Multi-Resolution Analysis Techniques, and key words: Power transmission lines, Costs, Simulation, Signal processing algorithms, Fault location, Signal processing, Discrete wavelet transforms. Abstract: Fast ever growing modern electrical grids pose a challenge as they result in the significant increase of overhead lines in both length and number. These lines experience faults owing to various reasons that as a consequence cause disruptions to supply and additionally increase the operational costs. Fault location and classification on transmission lines are thus crucial as a means to both protect the electrical power system and to ensure minimal disruption duration, hence maintaining supply and reliability in the grid. This paper is a comparative evaluation of transmission line fault location accuracy utilizing Discrete Wavelet Transform (DWT) and Multi-Resolution Analysis (MRA) methods on traveling waves under different fault conditions. Simulation results indicate to double end DWT offering superior accuracy when compared to single end DWT and MRA methods. In addition the accuracy of the tested methods is impervious to the applied fault type. However, DWT methods are effected by the selected mother wavelet family.
|
685 |
Please write an abstract with title: Optimal Scheduling of Gas and Electricity Distribution Networks in Microgrids: A Decomposition Approach, and key words: Renewable energy sources, Costs, Optimal scheduling, Distribution networks, Microgrids, Mathematical models, Complexity theory. Abstract: The transition towards increasingly renewables-based energy system is ongoing. During this transition microgrids are seen as a key concept and sub-system which can enable the transition and improve the security of supply at distribution network level. From generation perspective, flexible and rapidly controllable gas-based generation units can be utilized to deal with the variable output of weather-dependent renewable energy resources. Due to these complementary characteristics, it is of interest to study the integrated operation of gas and electricity distribution networks also in future microgrids. In this paper, the optimized scheduling of resources in a microgrid with gas and electricity distribution networks is studied. For this purpose, a mathematical model is first determined. After that, due to the complexity of this model, a decomposition method is developed to solve the optimization problem. This method splits the original problem into two subproblems, which reduces the complexity of solving. In order to validate the efficacy of the proposed model, a case study is derived based on a 15-node gas distribution network and a 13-node electricity distribution network. Based on the results, integrated scheduling improves the costs compared to separated scheduling, and the decomposition method reduces the solving time considerably.
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686 |
Please write an abstract with title: Uncertainty Modeling for Multicenter Autism Spectrum Disorder Classification Using Takagi–Sugeno–Kang Fuzzy Systems, and key words: Imaging, Feature extraction, Uncertainty, Fuzzy systems, Autism, Correlation, Testing. Abstract: The resting-state functional magnetic resonance imaging (rs-fMRI) is a pivotal tool that can reveal brain dysfunction in the computer-aided diagnosis of the autism spectrum disorder (ASD). However, the instability of data collection devices, complexity of pathogenesis, and ambiguity in the causes of the disease always introduce considerable uncertainty in identifying ASD using rs-fMRI. Due to the strong ability of Takagi–Sugeno–Kang fuzzy inference systems (TSK FISs) in handling the uncertainty of knowledge and expression, we build an ASD classification model based on TSK FISs and further propose a novel multicenter ASD classification method FCG-MTGS-TSK. Specifically, the correlation information of multiple imaging centers is considered by introducing multitask group sparse learning, and the features across multiple imaging centers are thus jointly selected. An augmented lagrange multiplier (ALM) method is further developed to find the optimal solution of the model. Compared with the other existing methods, the proposed method has the advantages of strong interpretability and high classification accuracy. The experimental results also identify the most discriminative functional connectivity in multicenter ASD classification.
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687 |
Please write an abstract with title: A decentralized control of interconnected systems using neural networks, and key words: Distributed control, Interconnected systems, Neural networks, Large-scale systems, Control systems, Nonlinear systems, Nonlinear control systems, Stability, Robust control, Control nonlinearities. Abstract: We develop a decentralized neural-network (NN) controller for a class of large-scale nonlinear systems with the high-order interconnections. The controller is a mixed NN comprised of a conventional NN and a special NN. The conventional NN is used to approximate the unknown nonlinearities in the subsystem, while a special NN is used to counter the high-order interconnections. We prove that this NN structure can achieve a stable controller for the large-scale systems.
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688 |
Please write an abstract with title: Objects resemblance in a fuzzy object-oriented context, and key words: Fuzzy sets, Object oriented databases, Object oriented modeling, Data models, Relational databases, Computer science, Artificial intelligence, Object oriented programming, Proposals. Abstract: Many problems related to the objects management in an object-oriented database model involve the concept of comparison. To which extent may two objects be the same one? How similar are two objects? These questions have a clear answer in a crisp object-oriented context. But, if we deal with imprecise or imperfect objects, the equality concept becomes fuzzy. Here we present a set of operators useful to compare objects in a fuzzy environment: among them, a generalized resemblance degree between two fuzzy sets of imprecise objects and a generalized resemblance degree to compare complex fuzzy objects.
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689 |
Please write an abstract with title: A Data Mining Approach for Finding Similar Job Positions to Upgrade a Job Position in a System for Evaluating Competencies, and key words: Java, Data mining, Databases, Portals, Loading, Cascading style sheets, Reliability. Abstract: This article focuses on creating an approach to find similar job positions based on an existing job position in a system for evaluating competencies. The proposed method uses data mining methods to find similar job positions on a job portal based on input data. The input data is the job position title and the list of competencies. The proposed approach then accesses the relevant job positions in a job portal and compares them with the entered inputs. The output of the approach is a list of the most similar job positions in the job portal, including their description. Then HR manager should use this output for completing the assigned job position and its competencies. The proposed approach is then experimentally verified.
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690 |
Please write an abstract with title: Pixel recovery via /spl lscr//sub 1/ minimization in the wavelet domain, and key words: Wavelet domain, Wavelet coefficients, Pixel, Laplace equations, Iterative algorithms, Integrated circuit modeling, Approximation algorithms, Linear programming, Image denoising, Minimization methods. Abstract: This paper uses probability models on expansive wavelet transform coefficients with interpolation constraints to estimate missing blocks in images. We use simple probability models on wavelet coefficients to formulate the estimation process as a linear programming problem and solve it to recover the missing pixels. Our formulation is general and can be augmented with more sophisticated probability models to obtain even better estimates on a variety of image regions. The presented approach has many parallels to recently introduced dictionary based signal representations with which it shares certain optimality properties. We provide simulation examples over edge regions using both critically-sampled and expansive (over-complete) wavelet transforms.
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691 |
Please write an abstract with title: Optimization of Cooperative <i>In Vivo</i> Sensor Network Operating at Terahertz Frequency, and key words: In vivo, Sensors, Wireless communication, Implants, Body area networks, Batteries, Optimization. Abstract: In the current work, performance of cooperative as well as non-cooperative In Vivo sensor networks operating at terahertz frequency has been analyzed in terms of received power and energy. The human body as a wireless medium impacts signal propagation. Human tissues such as blood, fat, skin and water offer different permittivity to the signal. In this work a mathematical model has been formulated for cooperative and non-cooperative In Vivo sensor network where the dependence of received power and SNR on various parameters has been evaluated. A data set comprising of permittivity, pathloss and distance has been created from the proposed model. To optimize received power and energy, ANN is implemented, and the minimum error value of SNR is obtained which is further used to find optimized received power and energy for the In Vivo network under the considered scenario. Simulation results reveal that received power in the cooperative In Vivo network is increased by approx. 22% in the skin, 18%, in blood, 27% in water and 11% in fat and received energy is also increased by approx. 75% in comparison with the non-cooperative In Vivo network. It also has been noted that in comparison to other human tissues skin is the best medium for cooperative as well as non-cooperative scenario. Further optimized received power is increased by 37 % and 49 % for the non-cooperative and cooperative scenario respectively. Optimized received energy is increased by 11% and 20% for non- cooperative and cooperative scenario respectively.
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692 |
Please write an abstract with title: Broadband sound scattering by intense internal waves, and key words: Acoustics, Hydrodynamics, Perturbation methods, Two dimensional displays, Oceans, Time-frequency analysis, Diffraction. Abstract: The main goal of the paper is to present application of the interferometric method for data processing in shallow water acoustic waveguides. The source sound field interference patterns are analyzed with 2D Fourier trasformation (hologram), within the framework of interferometric processing. Our purpose is to recover separately the interference patterns of sound field in unperturbed waveguide and its hydrodynamic perturbation by filtering in hologram domain.
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693 |
Please write an abstract with title: Mobile positioning technologies and location services, and key words: FCC, Testing, Telephone sets, Wireless communication, Explosives, Europe, RAKE receivers, Position measurement, Ray tracing, Fingerprint recognition. Abstract: In response to the US Federal Communications Commission (FCC) wireless E-911 phase II requirement for emergency location, mobile station (MS) location testing and verification have become an important issue for wireless carriers and the vendors. Currently, the FCC ruled that carriers begin selling and activating ALI (automatic location identification) capable handsets no later than October 1, 2001 and also granted a limited waiver of location accuracy to certain wireless carriers. Since MS location information can be used for many location-dependent applications to enhance the system performance, there is also an explosive interest in the development of new location-based commercial services to add value to mobile devices. We present a summary of the location technologies that have been MS location solutions to comply with the E-911 ruling. We also discuss the emergence of MS location commercial services and address how MS location information can be used (1) to improve performance of the systems through vertical layers, and (2) to increase wireless system functionality for location commercial services.
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694 |
Please write an abstract with title: Attention-Assisted Adversarial Model for Cerebrovascular Segmentation in 3D TOF-MRA Volumes, and key words: Image segmentation, Three-dimensional displays, Training, Feature extraction, Visualization, Biomedical imaging, Task analysis. Abstract: Cerebrovascular segmentation in time-of-flight magnetic resonance angiography (TOF-MRA) volumes is essential for a variety of diagnostic and analytical applications. However, accurate cerebrovascular segmentation in 3D TOF-MRA is faced with multiple issues, including vast variations in cerebrovascular morphology and intensity, noisy background, and severe class imbalance between foreground cerebral vessels and background. In this work, a 3D adversarial network model called A-SegAN is proposed to segment cerebral vessels in TOF-MRA volumes. The proposed model is composed of a segmentation network A-SegS to predict segmentation maps, and a critic network A-SegC to discriminate predictions from ground truth. Based on this model, the aforementioned issues are addressed by the prevailing visual attention mechanism. First, A-SegS is incorporated with feature-attention blocks to filter out discriminative feature maps, though the cerebrovascular has varied appearances. Second, a hard-example-attention loss is exploited to boost the training of A-SegS on hard samples. Further, A-SegC is combined with an input-attention layer to attach importance to foreground cerebrovascular class. The proposed methods were evaluated on a self-constructed voxel-wise annotated cerebrovascular TOF-MRA segmentation dataset, and experimental results indicate that A-SegAN achieves competitive or better cerebrovascular segmentation results compared to other deep learning methods, effectively alleviating the above issues.
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695 |
Please write an abstract with title: Laser radar prototype development, and key words: Laser radar, Prototypes, Poles and towers, Helicopters, Optical design, Defense industry, System testing, Integrated optics, Reactive power, Servomechanisms. Abstract: High power lines, pylons, towers and other obstacles endanger helicopters flying at low or ground hugging altitudes. A design and prototype development activity for a laser radar system was initiated with NATO-WEAG support in 1999. The participants are the leading defence industries and institutions of Turkey, Portugal and Italy. Principles of operation, system parameters, and integration and test activities of the optics and scanning module, which is an ASELSAN responsibility, are explained.
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696 |
Please write an abstract with title: Label-Free Detection of the Architectural Feature of Blood Vessels in Glioblastoma Based on Multiphoton Microscopy, and key words: Biomedical imaging, Blood vessels, Imaging, Microscopy, Visualization, Morphology, Hospitals. Abstract: Glioblastoma (GBM) is a highly angiogenesis malignant tumor with a significant heterogeneity of vascular morphology. The vascular patterns could be served as an indicator of vascular morphological complexity that associated with postoperative prognosis of patients with GBM. Here, multiphoton microscopy (MPM), based on second harmonic generation (SHG) and two-photon excited fluorescence (TPEF), is applied for detecting the architectural feature of blood vessels from ex vivo, unfixed, and unstained human GBM specimens. Combined with the image processing algorithms, the morphology, location, orientation, alignment, and density of vascular collagen are qualitatively and quantitatively visualized, revealing the presented method not only contribute to differentiate GBM from normal brain tissue, but also provide important indicators of different vascular patterns, which may serve as a reference to the prognosis more accurately. Therefore, these results can provide prognosis-related histopathological diagnosis of GBM, holding a translational potential to be used as a label-free, quick, and on-site imaging tool for clinicians to determine the extent of excision involving brain functional areas.
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697 |
Please write an abstract with title: Automated Software Test Data Generation With Generative Adversarial Networks, and key words: Generative adversarial networks, Generators, Software, Codes, Training data, Fuzzing, Artificial neural networks. Abstract: With the rapid increase of software scale and complexity, the cost of traditional software testing methods will increase faster than the scale of software. In order to improve test efficiency, it is particularly important to automatically generate high-quality test cases. This paper introduces a framework for automatic test data generation based on the generative adversarial network (GAN). GAN is employed to train a generative model over execution path information to learn the behavior of the software. Then we can use the trained generative model to produce new test data, and select the test data that can improve the branch coverage according to our proposed selection strategy. Compared to prior work, our proposed method is able to handle programs under test with large-scale branches without analyzing branch expressions. In the experiment, we exhibit the performance of our method by using two modules in GNU Scientific Library. In particular, we consider the application of our method in two testing scenarios; unit testing and integration testing, and conduct a series of experiments to compare the performance of three types of GAN models. Results indicate that the WGAN-GP shows the best performance in our framework. Compared with the random testing method, the WGAN-GP based framework improves the test coverage of five functions out of the seven in the unit testing.
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698 |
Please write an abstract with title: Industry experience in using an abstract model to select software development tools, and key words: Tools, Computer aided software engineering, Software, Industries, Visualization, Documentation, Task analysis. Abstract: Experience shows that it is difficult to select, from an ever-widening set of software tools, those appropriate for a given project. Complicating the choice beyond mere vendor selection is a proliferation of open source offerings. An abstract model is proposed to assist in this selection process. In this model, generic elements of a rational decision making process are identified. The model is realized in a matrix in which rows represent tools and columns represent tool properties. This tool matrix is developed iteratively, starting off with an initial attempt to articulate those tool properties perceived to be important in the project. The criticality of each property is also estimated. This information constitutes the column headings. Tools described in available information sources constitute the rows, with their compliance to the required properties indicated in the appropriate cells of the matrix. Rows are grouped together in functional categories — e.g. version systems, modeling tools, etc. Columns are grouped in terms of properties typically associated with a given functional category. The result is a visual representation of the extent to which identified tools meet properties. This serves as a basis for selecting one or more tools to meet the desired requirements. Iteration of the model consists of evaluating the coverage of these requirements, refinement of properties and trade off between alternatives. Experience in using the model in a number of industrial contexts is discussed. The case studies show that the process forces one to consider as many alternatives and prerequisites as are necessary, and to systematically make ones reasoning explicit. This experience leads to the conclusion that the discipline demanded to construct the model has rational decisions as its payoff, based on well-assimilated information summarized in the tool matrix.
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699 |
Please write an abstract with title: Developing Sentiment Analysis of Indonesian Social Media Based on Convolutional Neural Network for Smarter Society, and key words: Sentiment analysis, Analytical models, Social networking (online), Semantics, Syntactics, Convolutional neural networks, Proposals. Abstract: The need for mining the public's opinion on specific national development issues can be attained by sentiment analysis. There has been much research on sentiment analysis in Indonesian, but there is room for improvement. In this study, we performed experimentation by comparing previously tested convolutional neural network (CNN) architecture with our proposal utilizing a pre-trained word-embedded model: Word2Vec and GloVe that proved to be having better accuracy. The experiment used the SmSA dataset from IndoBERTweet of 11000 sentences. Utilization of the pretrained Word2Vec and GloVe model that was created from 16.2 million BRIN monolingual text corpus could represent a text in a better way. The word-embedding model can capture the semantic and syntactic meaning of a word so that they can conceive knowledge that may be used to raise classification performances. The experimental results show a better F1 score value of 80.06%, which increases by approximately 2.24%.
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