ID
int64 0
400k
| content
stringlengths 97
5.85k
|
|---|---|
1,000 |
Please write an abstract with title: Correlating the channel, substrate, gate and minority-carrier currents in MOSFETs, and key words: MOSFETs, Electrons, Current measurement, Degradation, EPROM, Leakage current, Voltage, Conductivity, Marine vehicles, Circuit optimization. Abstract: An evaluation of measured linear and power-law relationships among the channel, substrate and minority-carrier currents, will be reported. The results simplify the visualizing, testing and modeling of hot-electron currents that affect IC performance and reliability.
|
1,001 |
Please write an abstract with title: An Experiment on Mizar Adjectives with Extra Visible Arguments, and key words: Scientific computing, Libraries. Abstract: This paper presents the extended processing of adjectives with visible arguments in the Mizar system. The proposed enhancement is compared with the current implementation by presenting the results of a case study based on refactoring selected Mizar Mathematical Library (MML) theories.
|
1,002 |
Please write an abstract with title: Towards an Approach of Risk Analysis in Access Control, and key words: Access control, Privacy, Cloud computing, Taxonomy, Medical services, Probability, Risk analysis. Abstract: Information security provides a set of mechanisms to be implemented in the organisation to protect the disclosure of data to the unauthorised person. Access control is the primary security component that allows the user to authorise the consumption of resources and data based on the predefined permissions. However, the access rules are static in nature, which does not adapt to the dynamic environment includes but not limited to healthcare, cloud computing, IoT, National Security and Intelligence Arena and multi-centric system. There is a need for an additional countermeasure in access decision that can adapt to those working conditions to assess the threats and to ensure privacy and security are maintained. Risk analysis is an act of measuring the threats to the system through various means such as, analysing the user behaviour, evaluating the user trust, and security policies. It is a modular component that can be integrated into the existing access control to predict the risk. This study presents the different techniques and approaches applied for risk analysis in access control. Based on the insights gained, this paper formulates the taxonomy of risk analysis and properties that will allow researchers to focus on areas that need to be improved and new features that could be beneficial to stakeholders.
|
1,003 |
Please write an abstract with title: Heated Escape: A Virtual Reality Serious Game on the Urgency of the Climate Crisis, and key words: Climate change, Virtual reality, Serious games, Sustainable development, Learning systems, Education, Human-centered computing, Interactive systems. Abstract: Climate change is widely considered to be the most defining crisis of our time. To address the challenge, education and engagement are key factors to change the global response to climate change. Virtual Reality (VR) serious games can provide immersive experiences, which can also serve educational purposes. In this paper, we introduce Heated Escape, a novel VR escape room game that aims to educate players about the urgency of the climate crisis. Here, we present the general game concepts, including several puzzle games.
|
1,004 |
Please write an abstract with title: MovieMat: Context-aware Movie Recommendation with Matrix Factorization by Matrix Fitting, and key words: Measurement, Industries, Deep learning, Tensors, Mood, Fitting, Motion pictures. Abstract: Movie Recommender System is widely applied in commercial environments such as NetFlix and Tubi. Classic recommender models utilize technologies such as collaborative filtering, learning to rank, matrix factorization and deep learning models to achieve lower marketing expenses and higher revenues. However, audience of movies have different ratings of the same movie in different contexts. Important movie watching contexts include audience mood, location, weather, etc. To be able to take advantage of contextual information is of great benefit to recommender builders. However, popular techniques such as tensor factorization consumes an impractical amount of storage, which greatly reduces its feasibility in real world environment. In this paper, we take advantage of the MatMat framework, which factorizes matrices by matrix fitting to build a context-aware movie recommender system that is superior to classic matrix factorization and comparable in the fairness metric.
|
1,005 |
Please write an abstract with title: Enabling Deep Space Radar with EM Simulation, and key words: gyrotron, HUSIR, MAGY, radar, Simulation, Surf3D. Abstract: An upgrade to the Haystack Ultra-Wideband Satellite Imaging Radar (HUSIR) with a fifty-fold peak power increase is underway utilizing a vacuum power electron device for the W-band transmitter amplifier. This 17-dB sensitivity increase will extend the range of HUSIR capability to geosynchronous orbits (GEO). A single Communications and Power Industries (CPI) Gyrotron Traveling Wave Tube (TWT) design is expected to deliver 50-kilowatt peak power over the 92–100 GHz HUSIR bandwidth. A Raytheon Technologies solid-state amplifier will combine over 100 monolithic microwave integrated circuit (MMIC) devices to provide 100 watt peak power input for the GyroTWT. Modifications for the HUSIR radar transmitter, antenna feed, and transmit path are underway to accommodate the anticipated power increase. This paper highlights the contributions of EM modeling and simulation to this challenging development effort.
|
1,006 |
Please write an abstract with title: A soft-decision approach for BLAST systems with less receive than transmit antennae, and key words: Receiving antennas, Transmitting antennas, MIMO, Vectors, Fading, Multiuser detection, Interference cancellation, Computational efficiency, Constellation diagram, Bandwidth. Abstract: In this paper, a soft-decision based detection technique is developed for BLAST MIMO systems with less receive (Rx) antennae than transmit (Tx) antennae. The existing nulling and cancellation algorithm (NC) is unable to work for such systems theoretically. Avoiding any zero-forcing mechanism, the proposed approach works for rank-deficient channels via soft-decision based interference cancellation. Moreover, it outperforms NC in BLAST systems with more Rx than Tx antennae. The computational cost of the proposed approach is only on the 3rd order of the number of symbols to be recovered and linear in the signal constellation size, which is lower than the complexity of NC. This paper establishes the soft-decision approach as an attractive candidate to achieve detection performance better than that of NC. Simulation comparisons of the soft-decision approach with the NC algorithm are presented.
|
1,007 |
Please write an abstract with title: Chaotic attractor of the controlled He/spl acute/non map, and key words: Chaos, Control systems, Nonlinear dynamical systems, Helium, Oscillators, Chemicals, Relays, Equations, Africa. Abstract: The paper considers the He/spl acute/non map controlled by simple sine functions. A new chaotic attractor is found in this controlled He/spl acute/non map, and its basic properties are discussed in terms of its Lyapunov exponents. The chaotic behavior is also numerically analyzed for a range of control parameters.
|
1,008 |
Please write an abstract with title: Three-Vector Model Predictive Direct Power Control of Vienna Rectifier based on Voltage Vector Optimization, and key words: Reactive power, Fluctuations, Power control, Rectifiers, Predictive models, Pareto optimization, Power system harmonics. Abstract: When the traditional model predictive direct power control strategy is adopted in Vienna rectifier, there are some problems such as high harmonic content of grid-side current, single output voltage vector and large power pulsation. In this paper, a three-vector model predictive direct power control strategy for Vienna rectifier based on voltage vector optimization is proposed. the strategy has two effective voltage vectors and one zero vector in each sampling period, expands the coverage of alternative voltage vectors when selecting the second effective voltage vector, optimizes all optional voltage vectors, and carries out deadbeat control of active power and reactive power. In addition, the method proposed in this paper uses redundant switching state to solve the problem of midpoint potential fluctuation of Vienna rectifier. The simulation results show that, compared with the traditional model predictive direct power control, the proposed method has low harmonic content of grid-side current, can effectively reduce power pulsation and improve steady-state performance.
|
1,009 |
Please write an abstract with title: Eulerian-Lagrangian Approach Evaluation for Numerically Prediction of Fluidized Bed Hydrodynamics, and key words: Drag, Hydrodynamics, Solids, Computational modeling, Chemical engineering, Mathematical model, Computational fluid dynamics. Abstract: The main motivation for using fluidized beds in gasification is their excellent gas-fuel mixing ability that cause isothermal conditions and low operating temperature. Understanding the fluidized bed hydrodynamics and flow regime is the key to address the issues of poor gas-fuel mixing. In the current work, a fluidized bed is modeled and studied using ANSYS fluent 15. For this purpose, Eulerian-Lagrangian (EL) approach is chosen to simulate the fluidized bed gasifier hydrodynamics. In this method, the fluid is considered as continuum phase by solving the Navier-Stokes equations. Moreover, particles are treated as dispersed phase and being solved by Lagrangian trajectory calculations including coupling with the continuous phase. To include particle-particle interactions, the Discrete Element Model (DEM) as part of Discrete Phase Model (DPM) capability is also used. Simulation and experimental results are then presented and compared. The results showed that the EL approach can predict well the gas-solid mixing hydrodynamic behavior. Considering the fluidized bed particle movements and bed pressure, a good agreement was observed between computational fluid dynamics and the experimental results. Therefore, it can be concluded that the Eulerian-Lagrangian simulation approach can accurately predict the fluidized bed hydrodynamics.
|
1,010 |
Please write an abstract with title: A novel ultrathin vertical channel NMOSFET with asymmetric fully overlapped LDD, and key words: MOSFET circuits, Epitaxial growth, Lithography, Substrates, Amorphous silicon, Threshold voltage, Electron mobility, Degradation, CMOS technology, Etching. Abstract: In this letter, a novel ultrathin vertical channel (UTVC) NMOSFET with asymmetric fully overlapped lightly doped drain (LDD) is proposed and demonstrated using solid-phase epitaxy (SPE). A boron-doped polycrystalline Si/sub 0.5/Ge/sub 0.5/ gate was used to tune the threshold voltage, a lightly doped (<1/spl times/10/sup 15/ cm/sup -3/) channel was used to suppress the electron mobility degradation, and an asymmetric fully overlapped LDD was adopted to reduce the series resistance as compared to the conventional LDD. Devices with 50-nm channel length were achieved by using 15-nm ultrathin channel thickness, and they provided high current drive, steep subthreshold slope, and good V/sub T/ roll-off characteristics.
|
1,011 |
Please write an abstract with title: MCTA: Multi-UAV Collaborative Target Allocation to Monitor Targets with Dynamic Importance, and key words: Wireless communication, Collaboration, Unmanned aerial vehicles, Resource management, Mathematical model, Internet of Things, Vehicle dynamics. Abstract: With the development of mechanical manufacturing, wireless communication, and other related technologies, unmanned aerial vehicle (UAV) has become a typical paradigm of IoTs. The emergence of multi-UAV collaboration technology is expected to compensate for the shortcomings of a single UAV, which has become an important research point of IoT applications. The collaboration of multi-UAV is generally driven by scenarios, so we firstly abstract these scenarios into the target allocation problem. Then, we model the constraint of geographic space as an undirected weighted graph. Through a series of rigorous mathematical derivation and theoretical proof, the multi-UAV collaborative target allocation is modeled as a variable scale assignment problem, whose objective is to minimize the battery consumption. Based on that, a heuristic task scheduling algorithm named MCTA is proposed. Through the simulation experiments, the performance of MCTA is effectively evaluated. Compared with three comparison algorithms, MCTA shows many advantages in terms of effectiveness, energy saving, and overall balance.
|
1,012 |
Please write an abstract with title: Effect of Balanced and Unbalanced Voltage Fluctuation on DC bus Inductor and Capacitor of Adjustable Speed Drives, and key words: Capacitors, Inductors, Variable speed drives, Heating systems, Indexes, Fluctuations, Loss measurement. Abstract: Supply voltage with low frequency fluctuations will introduce a low (fluctuation) frequency component in the dc link of Adjustable Speed Drives (ASDs), which may increase the net rms current through the DC choke (inductor) and DC-link capacitor. In order to analyze the impact of such low frequency component on the dc-link components (choke and capacitor), performance parameters are considered such as Capacitor Heating Factor (CHF) and total loss for capacitor and choke respectively. The net rms value of capacitor current estimated using appropriate weights of the frequency components is defined as CHF. This paper (a) analyses the effect of sinusoidal balanced fluctuation on dc bus capacitor with inductor placed either in dc-link or ac side, (b) derives an analytical expression to calculate the magnitude of low frequency component in the capacitor current for a given magnitude and frequency of fluctuation, (c) analyses the impact of unbalanced fluctuation in supply voltage which introduces further low frequency components in the capacitor current resulting in increased CHF and (d) proposes a new index to calculate the fluctuation effect on dc bus capacitor, as the existing indices do not correlate with the effects. As a result, it is also found that, (a) the increase of CHF due to balanced voltage fluctuation is the same with the presence of dc and ac inductor and (b) unbalanced fluctuation effect on CHF is rather more compared to balanced fluctuation, considering the practical level of fluctuation unbalance observed at industrial sites.
|
1,013 |
Please write an abstract with title: The importance of thermal torques on the migration of planets growing by pebble accretion, and key words: planets and satellites: formation, planet–disc interactions, protoplanetary discs. Abstract: A key process in planet formation is the exchange of angular momentum between a growing planet and the protoplanetary disc, which makes the planet migrate through the disc. Several works show that in general low-mass and intermediate-mass planets migrate towards the central star, unless corotation torques become dominant. Recently, a new kind of torque, called the thermal torque, was proposed as a new source that can generate outward migration of low-mass planets. While the Lindblad and corotation torques depend mostly on the properties of the protoplanetary disc and on the planet mass, the thermal torque depends also on the luminosity of the planet, arising mainly from the accretion of solids. Thus, the accretion of solids plays an important role not only in the formation of the planet but also in its migration process. In a previous work, we evaluated the thermal torque effects on planetary growth and migration mainly in the planetesimal accretion paradigm. In this new work, we study the role of the thermal torque within the pebble accretion paradigm. Computations are carried out consistently in the framework of a global model of planet formation that includes disc evolution, dust growth and evolution, and pebble formation. We also incorporate updated prescriptions of the thermal torque derived from high-resolution hydrodynamical simulations. Our simulations show that the thermal torque generates extended regions of outward migration in low-viscosity discs. This has a significant impact in the formation of the planets.
|
1,014 |
Please write an abstract with title: Interacting collective modes in a laser cavity, and key words: Laser modes, Optical coupling, Laser theory, Atom optics, Optical films, Linear approximation, Optical losses, Propagation losses, Reservoirs, Atomic beams. Abstract: We define collective operators for the quantized radiation field in a one-dimensional laser cavity coupled to a semi-infinite outside region, and we consider the overlaps of neighboring collective modes to show how they modify, in the linear approximation, the time evolution of the radiation field below threshold. The model and procedure work directly within a continuous spectrum of modes and allow us to get an improved insight on the prescription for the laser field in single-mode operation.
|
1,015 |
Please write an abstract with title: Magnetooptic storage, and key words: Material storage, Transducers, Costs, Magnetic materials, Solid state circuits, Solid lasers, Laser beams, Optical materials, Technology forecasting, Holography. Abstract: The current status, i.e., the storage density and READ-WRITE rate of magnetooptic technology is reviewed. From the discussion of subsystems, it is clear that at present magnetooptical technology is mainly aimed at high-activity data base applications. The major problems for magnetooptic technology in mass storage are storage medium and transducer cost. Results on the recent developments of solid-state injection lasers are presented. This represents a breakthrough in transducer and beam control cost that is needed for the technology. The material requirements will also be discussed. Assuming future development in the above mentioned areas, we make a technology forecast on both short term and long term basis. For the short term it seems that the improvement made in both the transducer and the storage material will ameliorate the cost performance of the technology to the point that a class of magnetooptic files consistent with the mass storage requirements can be developed. For the long term, optimistic projections in light deflection and holographic techniques enable one to configure mass storage systems with throughput that can balance that of the memory.
|
1,016 |
Please write an abstract with title: Automatic Localization of Potential Faults for Java Runtime Exceptions, and key words: Location awareness, Java, Runtime, Codes, Computer bugs, Robustness, Arithmetic. Abstract: Exceptions are unintended or undesired events that occur during program execution and have a negative effect on the robustness of the program. In the Java language, exceptions are divided into two types: checked exceptions and unchecked exceptions. A checked exception is required to be handled at compile time whereas an unchecked exception occurs at run time, so it is also called a runtime exception. Runtime exceptions can cause serious consequences like system crashes. Today's programs are still likely to contain a large number of runtime exceptions, such as null pointer exceptions and arithmetic exceptions in real-world bugs, indicating that the error-checking strategy is insufficient to clear the occurrence of runtime exceptions. In this paper, we propose a potential fault localization approach for Java runtime exceptions. It mainly uses regular expressions to support the detection of code fragments containing such exceptions and checklists to help the developer examine whether the exception may occur to cause errors.
|
1,017 |
Please write an abstract with title: Testing Java interrupts and timed waits, and key words: Java, Yarn, Monitoring, Software testing, Sequential analysis, Information technology, Australia, Application software, Software tools, Concurrent computing. Abstract: Testing concurrent software is difficult due to problems with inherent nondeterminism. In previous work, we have presented a method and tool support for the testing of concurrent Java components. In this paper, we extend that work by presenting and discussing techniques for testing Java thread interrupts and timed waits. Testing thread interrupts is important because every Java component that calls wait must have code dealing with these interrupts. For a component that uses interrupts and timed waits to provide its basic functionality, the ability to test these features is clearly even more important. We discuss the application of the techniques and tool support to one such component, which is a nontrivial implementation of the readers-writers problem.
|
1,018 |
Please write an abstract with title: Contribution of GEANT4 to the determination of sensitive volumes in case of high-integrated RAMs, and key words: Computer aided software engineering, Random access memory, Orbital calculations, Single event upset, Extraterrestrial measurements, Volume measurement, Probes, Deconvolution, Thickness measurement, Process design. Abstract: This paper deals with the use of short-range beams in order to measure the sensitive thickness of devices. In the case of a Hitachi 4-Mbit SRAM, /spl sigma/(E) measurements have been compared to GEANT 4 calculations, taking into account the effects of the overlayers. The analysis of the experimental data at two bias levels has pointed out that /spl sigma/(E) is directly correlated with the energy deposited in sensitive volume (SV) for low ranges, on the other hand charge collection mechanisms have a strong impact for long ranges.
|
1,019 |
Please write an abstract with title: Extended irreversible thermodynamics modeling for self-heating and dissipation in piezoelectric ceramics, and key words: Thermodynamics, Ceramics, Dielectric losses, Piezoelectric materials, Frequency, Aerospace materials, Piezoelectric actuators, Thermal stresses, Piezoelectric transducers, Energy conversion. Abstract: Self-heating or dissipation of piezoelectric ceramic elements is observed to be severe under dynamic operations even in the linear range. A nonequilibrium thermodynamic model is developed to delineate the coupled irreversible mechanical, electric, and thermal processes, which jointly contribute to dissipation. Specifically, additional nonequilibrium state variables, also known as thermodynamic fluxes, are brought in to describe each of these processes. The characteristic relaxation of these processes is modeled. The nonnegative rate of entropy production is found to be in quadratic form of thermodynamics fluxes. The energy balance equation, which governs the transformation between different energy forms, is obtained in the framework of extended irreversible thermodynamics. Using this model, the dissipation of a piezoceramic stack actuator under harmonic electric or mechanical loadings in linear operation range is studied. The harmonic-balance methods are utilized as solution techniques. In contrast to the existing piezoelectric dissipation models, the dissipation by the developed model is verified to nonlinearly depend on operating frequency, with a peak dissipation occurring at some operating frequency that is related to characteristic relaxation of irreversible processes. The measurements of newly introduced parameters are also discussed.
|
1,020 |
Please write an abstract with title: Visual Attention based Cognitive Informative Frame Extraction Method for Smart Crowd Surveillance, and key words: Visualization, Image segmentation, Surveillance, Video sequences, Bandwidth, Streaming media, Feature extraction. Abstract: In a smart surveillance system, the amount of video data has increased exponentially due to the increase in the number of monitoring devices and IoT sensors. To make smart and real-time decisions without latency in communication from these voluminous data is a tedious task. In this context, selecting informative frames from the video is of great importance that helps to extract only the salient features for further processing without latency and bandwidth constraints. In this paper, we are proposing a fast and reliable method for selecting informative frames from video sequences based on the human cognition process of visual attention to preserve the Spatio-temporal properties of the video. The proposed method extracts the informative frames using the frame informative score calculated based on visual attention maps, superpixel segmentation, and temporal information. Since our purpose is for analyzing crowd behavior from video data in a smart environment, we take two publicly available crowd video datasets for our experiments. The results show that the proposed approach is successful in extracting relevant video frames in linear time by preserving their spatial and temporal properties. We also analyze the feasibility of the proposed method in a fog computing-based simulated IoT framework, and it has been verified that the proposed cognitive approach could efficiently address the concerns of latency and bandwidth in smart surveillance environments.
|
1,021 |
Please write an abstract with title: Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects, and key words: Circuit faults, Feature extraction, Tools, Iron, Data models, Photovoltaic systems, Deep learning. Abstract: Photovoltaic (PV) systems are subject to failures during their operation due to the aging effects and external/environmental conditions. These faults may affect the different system components such as PV modules, connection lines, converters/inverters, which can lead to a decrease in the efficiency, performance, and further system collapse. Thus, a key factor to be taken into consideration in high-efficiency grid-connected PV systems is the fault detection and diagnosis (FDD). The performance of the FDD method depends mainly on the quality of the extracted features including real-time changes, phase changes, trend changes, and faulty modes. Thus, the data representation learning is the core stage of intelligent FDD techniques. Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. Therefore, this paper proposes an extensive review on deep learning based FDD methods for PV systems. After a brief description of the DL-based strategies, techniques for diagnosing PV systems proposed in recent literature are overviewed and analyzed to point out their differences, advantages and limits. Future research directions towards the improvement of the performance of the DL-based FDD techniques are also discussed. This review paper aims to systematically present the development of DL-based FDD for PV systems and provide guidelines for future research in the field.
|
1,022 |
Please write an abstract with title: FPGA Implementation of Artificial Neural Network (ANN) for ECG Signal Classification, and key words: Pregnancy, Heart, Biological system modeling, Artificial neural networks, Electrocardiography, Feature extraction, Hardware. Abstract: The heart is one of the crucial parts of the human being. The graphical recording of the cardiac cycle produced by an Electrocardiograph is called an Electrocardiogram (ECG) signal. To predict the occurrence of an arrhythmia, an electrocardiogram (ECG) is generally used by doctors to identify the condition of the patient. Hence, to accurately detect the abnormalities of the heart in advance and classify those diseases without human involvement many machine learning algorithms are used. The MIT-BIH Arrhythmia database is being used to classify the beat classification performance. This paper presents the hardware implementation of a classifier using an Artificial Neural Network (ANN) to classify four abnormalities (Normal beat, Supraventricular ectopic beat, Ventricular ectopic beat, Fusion beat) of heartbeat with high accuracy. To an appropriate input vector for the classifier, several preprocessing stages have been applied. Discrete Wavelet Transform (DWT) is used to extract the features from the ECG signal. To implement this work, Xilinx Artix-7 NESYS 4 DDR FPGA board is used. This model got 86% testing accuracy in simulation and 85.6% in hardware.
|
1,023 |
Please write an abstract with title: An analytical relation for refraction in media having negative permittivity and permeability, and key words: Permittivity, Permeability, Electromagnetic refraction, Tellurium, Boundary conditions, Metamaterials, Maxwell equations, Information analysis, Lattices, Current density. Abstract: NIM is the material with negative permittivity and permeability. The condition of negative refractive at the interface between a positive isotropic material and a NIM material with different lattice groups is discussed. An analytical theory of TE and TM waves that undergo refraction at this interface based on boundary conditions is presented. This example shows how negative and "positive" refraction can occur with the direction of energy current density backward to wavevector. The refraction for different crystalline system is also analyzed. The theoretical analysis shows that "positive" refraction can occur for some special case in a left-hand material.
|
1,024 |
Please write an abstract with title: Strategy to improve the indoor coverage for mobile station, and key words: Enterprise resource planning, Power cables, Land mobile radio cellular systems, Land mobile radio, Floors, Building materials, Directive antennas, Antenna radiation patterns, Antenna arrays, Antenna feeds. Abstract: This paper presents an evaluation of whether the indoor signal strength for commercial buildings fulfills the cell planning requirement. In order to provide high quality cellular service, it is necessary to place an array of distributed antennas connected using feeder cable within the building. With the feeder cable approach, splitters and computer software, we develop using Visual Basic 6.0. The effective radiated power (ERP) at the distributed antenna can be calculated and it can also be predicted how far the signal can go with the calculated ERP. This design process can be used to obtain an estimated indoor system requirement. All of the requirements can be achieved by applying the method in this paper.
|
1,025 |
Please write an abstract with title: Recent progress and applications in group FFTs, and key words: Flexible printed circuits, Gaussian processes, Discrete Fourier transforms, History, Interpolation, Convolution, Vectors, Signal processing algorithms, Application software, Mathematics. Abstract: The Cooley-Tukey FFT can be interpreted as an algorithm for the efficient computation of the Fourier transform for the finite cyclic groups, a compact group, or the non-compact group of the real line. All of which are commutative instances of a "Group FFT". A brief survey of some recent progress made in the direction of noncommutative generalizations and applications is given.
|
1,026 |
Please write an abstract with title: Lead selection for SSVEP-based binocular rivalry, and key words: Frequency, Steady-state, Eyes, Gratings, Electroencephalography, Switches, Light emitting diodes, Band pass filters, Biomedical engineering, Psychology. Abstract: In binocular rivalry, a subject views two incongruent stimuli through each eye but consciously perceives only one stimulus at a time, with a switch in perceptual dominance every few seconds. To investigate the continuous alternations in perceptual dominance across eyes objectively, thirteen subjects were recorded with 64-channel electroencephalograph while experiencing binocular rivalry. A blue vertical grating flickering at one frequency was presented to one eye and a blue horizontal grating flickering at a different frequency was presented to the other eye. Steady state evoked potential (SSVEP) at the two frequencies were used as tags for the two stimuli. SSVEP-based binocular rivalry has potential advantage of registering the alternation in physiological dominance of the two eyes. This paper presents a method of lead selection to improve the applicability of SSVEP-based binocular rivalry. Optimal lead is selected by comparing signal strength at two stimulus frequencies during rivalry dominance and rivalry suppression. The method with one optimal lead correlates better with the subjects' report of perceptual dominance.
|
1,027 |
Please write an abstract with title: A Secret JPEG Image Sharing Method Over <i>GF</i>(2<i><sup>M</sup></i>) Galois Fields, and key words: Transform coding, Image coding, Visualization, Galois fields, Encryption, Three-dimensional displays, Image reconstruction. Abstract: With the rise of exchanges over the cloud and social networks, JPEG images have taken an important place in world image transmission and storage. In order to avoid security breaches and combat threats on the Internet, numerous JPEG image security methods have been proposed in both the academic and industrial communities. Encryption methods have been specifically designed to make JPEG images visually secure using so called crypto-compression methods. The drawback of crypto-compression is that it depends on only one secret key. Indeed, if this key is lost, so is the totality of the content of the secret original image. In this paper, we propose a secret JPEG image sharing approach. Shamir’s secret sharing scheme over Galois fields is used during the JPEG Huffman coding step, ensuring the visual security of the secret image in the compressed domain, while solving the issue of secret key loss. In addition, we also describe an eco-friendly scenario, dealing with a public shared JPEG image. In this scenario, we can obtain compressed shares because there is no need to duplicate the redundant information. According to our obtained results, our approach is fully format compliant and size preserving when compared to a standard JPEG compression of a secret original image, while ensuring the visual security of the content of the secret original image.
|
1,028 |
Please write an abstract with title: Guest Editorial Generative Adversarial Networks in Biomedical Image Computing, and key words: Special issues and sections, Biomedical imaging, Generative adversarial networks, Image segmentation, Image synthesis, Image reconstruction, Magnetic resonance imaging, Feature extraction, Adversarial machine learning. Abstract: The papers in this special section focus on generative adversarial networks in biomedical image computing. The field of biomedical imaging has obtained great progress from Roentgen’s original discovery of the X-ray to the current imaging tools, including Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), Computed Tomography (CT), and Ultrasound (US). The benefits of using these non-invasive imaging technologies are to assess the current condition of an organ or tissue, which can be used to monitor a patient over time over time for accurate and timely diagnosis and treatment.With the development of imaging technologies, developing advanced artificial intelligence algorithms for automated image analysis has shown the potential to change many aspects of clinical applications within the next decade. Meanwhile, these advanced technologies have also brought new issues and challenges. Thus, there has been a growing demand for biomedical imaging computing to be a component of clinical trials and device improvement. Currently, Generative adversarial networks (GANs) have been attached growing interests in the computer vision community due to their capability of data generation or translation. GAN-based models are able to learn from a set of training data and generate new data with the same characteristics as the training ones, which have also proven to be the state of the art for generating sharp and realistic images. More importantly, GAN has been rapidly applied to many traditional and novel applications in the medical domain, such as image reconstruction, segmentation, diagnosis, synthesis, and so on. Despite GAN substantial progress in these areas, their application to medical image computing still faces challenges and unsolved problems remain.
|
1,029 |
Please write an abstract with title: Modified Gradient Descent Algorithm Based Maximum Torque Per Ampere Control of PMSMs, and key words: Torque, Current measurement, Measurement uncertainty, Stators, Position measurement, Permanent magnet motors, Synchronous motors. Abstract: In this paper, a modified gradient descent algorithm based MTPA (Maximum Torque Per Ampere) control scheme to improve the driving efficiency of a permanent magnet synchronous motor is proposed. The modified gradient descent algorithm tracks the optimal current angle for MTP A control by using a newly defined gradient based on a change rate of copper losses. Since a magnitude of stator current is only required to track the optimal current angle for MTP A control, the proposed method is not dependent on motor parameters such as stator inductances and permanent magnet flux linkage. By using the proposed method, it is possible to track the optimal current angle that minimizes the copper losses for all load conditions in a short time, even with the motor parameters error or an offset in measured rotor position. The validity of the proposed method is verified by simulations using Matlab/Simulink for 210kW and 1.5kW IPMSMs (Interior Permanent Magnet Synchronous Motors) and experiments with a 1.5kW IPMSM.
|
1,030 |
Please write an abstract with title: Comparative Evaluation of Regional Multi-Agent Integration Innovation Capability Based on TOPSIS Method, and key words: Technological innovation, Data analysis, Indexes, Artificial intelligence, Research and development. Abstract: Regional multi-agent integration innovation is an important part of regional innovation development. Through the research on the evaluation of regional multi-agent integrated innovation capability, the regional multi-agent integrated innovation evaluation index system is designed from the four dimensions of scientific and technological innovation input, innovation R&D output, innovation achievement transfer and innovation achievement application, and the regional multi-agent integrated innovation capability is scientifically evaluated by using TOPSIS, analyze the key factors and existing problems of regional multi-agent integrated innovation system, put forward measures and suggestions, and verify the effectiveness of this method combined with cases, so as to provide reference for the construction of regional multi-agent integrated innovation system.
|
1,031 |
Please write an abstract with title: Sensitivity-Aware Configurations for High Packet Generation Rate LoRa Networks, and key words: Energy consumption, Adaptive systems, Error analysis, Simulation, Logic gates, Throughput, Physical layer. Abstract: In this paper, we introduce Sensitivity-Aware LoRa Configuration (SAL), a new algorithm for efficient autonomous and distributed selection of LoRa physical layer transmission parameters. The aim is to address the limitations of the currently adopted MAC algorithm in LoRaWAN networks (i.e., Adaptive Data Rate - ADR). The selection of the transmission parameters in ADR is done randomly by the gateway node, an approach that may result in the gateway reaching its Duty Cycle Limit, consequently hindering it from sending the configuration information to the end points under large-scale networks negatively affecting the network performance. Unlike ADR, SAL uses a decentralized approach to select node's transmission parameters without any need for gateway's control packets and it only considers a combination of parameters that is guaranteed to be received successfully by the gateway. The performance of the proposed algorithm is validated through extensive simulation experiments under different scenarios and operation conditions. In particular, SAL is compared to LoRaWAN configuration algorithm in terms of Packet Error Rate (PER), Capture effect Probability, Collision Probability, End-to-end Delay, Packet Delivery Ratio (PDR), Throughput and Energy Consumption showing promising results in this context.
|
1,032 |
Please write an abstract with title: A DRL-Aided Multi-Layer Stability Model Calibration Platform Considering Multiple Events, and key words: Adaptation models, Stability criteria, Software algorithms, Power system stability, Numerical models, Calibration, Numerical stability. Abstract: Maintaining accurate stability models for power system planning and operational analysis is of great importance. Calibrating problematic parameters using PMU measurements that work well for multiple events remains a challenging problem. To tackle the known issues, this paper presents a novel and generalized deep-reinforcement-learning (DRL)-aided platform for automated parameter calibration with an adaptive multilayer dueling Deep Q Network (D-DQN) algorithm that searches optimal parameter sets for multiple events simultaneously. This platform leverages state-of-the-art DRL algorithms and supports various types of stability models used in software vendors' transient stability programs. To help improve the efficiency of parameter calibration, a hierarchical structure with coarse-fine layers and adaptive steps is adopted when training effective DRL agents. It provides a systematic way to calibrate stability model parameters, which can save tremendous labor efforts for maintaining model accuracy and complying with industry standards. The effectiveness of the proposed approach is verified through numerical experiments on a realistic power plant model considering multiple system events.
|
1,033 |
Please write an abstract with title: Reduced-Order Equivalent Circuit Model of Series Resonant Converter Considering the Interaction between Resonant Elements, and key words: Switching frequency, Simulation, Resonant frequency, Transfer functions, Resonant converters, Stability analysis, Reduced order systems. Abstract: The high-order and complex small-signal equivalent circuit of the resonant converter prevents it from providing plentiful physical insights. This paper investigates the order reduction and approximation of the equivalent circuit of the series resonant converter (SRC). It is shown that there is a close interaction between the resonant inductor branch and the resonant capacitor branch that must be taken care of when conducting approximation. Using this methodology, a concise third-order equivalent circuit of the SRC is proposed. It corrects the phase deviation problem of the existing reduced-order model when the switching frequency is close to the resonant frequency, thus is more accurate in stability judgment and the closed-loop design. Finally, the simulation results verify the validity of the equivalent circuit.
|
1,034 |
Please write an abstract with title: Modeling of linear isolator utilizing giant magnetoresistance elements, and key words: Isolators, Giant magnetoresistance, Coils, Voltage, Operational amplifiers, Resistors, Electric resistance, Output feedback, Magnetic separation, Bridge circuits. Abstract: A linear giant magnetoresistive (GMR) isolator was modeled and the output voltage and current in relation to the input current were investigated. The feedback coil current (output current) corresponding to the input coil current closely matched the reported experimental results when the gain of the op-amp modeled was high (500). In the triangular input current wave response, feedback coil current faithfully followed the input current when the slew rate of the input coil current was equal to or lower than that of the op-amp and the input coil current amplitude was within the linear region of the isolator response.
|
1,035 |
Please write an abstract with title: Successful IP Business Models, and key words: Manufacturing industries, Space technology, Technology management, Foundries, Standards development, Moore's Law, Lead compounds, Semiconductor devices, Semiconductor device manufacture, Statistics. Abstract: The onward march of Moore's Law obviously brings with it a host of challenges, not the least of which is how to design to the space that is now available on an average leading edge semiconductor device. With millions of available transistors and a variety of technology options to choose from, it's small wonder that IP providers have managed to continue to build a viable industry. But that industry is changing, with numerous business models and sources of IP emerging. How will the interaction between IP providers and semiconductor manufacturers change? How will the industry benefit, in terms of quality and availability of IP? Dr. Di Ma will present a foundry perspective, including interesting statistics on IP usage and how the future interplay of foundry and IP provider might develop.
|
1,036 |
Please write an abstract with title: Event-Triggered Consensus for Multi-Agent Systems with Guaranteed Robust Positive Minimum Inter-Event Times, and key words: Delays, Multi-agent systems, Robustness, Generators, Bandwidth, Tuning, Communication networks. Abstract: We study consensus seeking single-integrator multi-agent systems equipped with packet-based communication channels. As the communication bandwidth of such channels is typically limited, it is essential to consider control schemes that lead to the desired performance while not overusing the communication resources. For this purpose, we propose a distributed dynamic event-triggered control scheme that results in aperiodic information exchange between agents, asymptotic consensus, strictly positive lower bounds on the inter-event times (strong Zeno-freeness) and robustness to unknown, non-uniform, and time-varying transmission delays. The proposed framework is such that the local control laws and event-triggering mechanisms can be directly obtained from the number of connected agents and local tuning parameters. The proposed design framework is therefore applicable to large-scale multi-agent systems.
|
1,037 |
Please write an abstract with title: A Reinforcement Learning-Based User-Assisted Caching Strategy for Dynamic Content Library in Small Cell Networks, and key words: Libraries, Servers, Indexes, Microcell networks, Optimization, Heuristic algorithms, Gallium nitride. Abstract: This paper studies the problem of joint edge cache placement and content delivery in cache-enabled small cell networks in the presence of spatio-temporal content dynamics unknown a priori. The small base stations (SBSs) satisfy users' content requests either directly from their local caches, or by retrieving from other SBSs' caches or from the content server. In contrast to previous approaches that assume a static content library at the server, this paper considers a more realistic non-stationary content library, where new contents may emerge over time at different locations. To keep track of spatio-temporal content dynamics, we propose that the new contents cached at users can be exploited by the SBSs to timely update their flexible cache memories in addition to their routine off-peak main cache updates from the content server. To take into account the variations in traffic demands as well as the limited caching space at the SBSs, a user-assisted caching strategy is proposed based on reinforcement learning principles to progressively optimize the caching policy with the target of maximizing the weighted network utility in the long run. Simulation results verify the superior performance of the proposed caching strategy against various benchmark designs.
|
1,038 |
Please write an abstract with title: Steady-State Optimal Power Flow in Integrated Electricity and Gas Transmission Systems with Hydrogen Injections, and key words: Renewable energy sources, Hydrogen, Pipelines, Transportation, Production, Reliability theory, Steady-state. Abstract: Hydrogen is a promising clean energy source for the future energy system. The power-to-gas facilities produce hydrogen from surplus renewable generations, and inject it into the natural gas transmission pipelines for transportation and further use. The operating condition of the Integrated Electricity and Gas Systems (IEGS) should be fully aware and optimized, for restraining the injection of hydrogen within a secure range. This paper proposes a steady-state optimal power flow technique for IEGS with distributed hydrogen injections. First, the IEGS is reformulated in an energy-balanced form considering the impact of hydrogen injection. Then, the steady-state optimal power flow problem is formulated, considering the security constraints of the Wobbe index, the composition of hydrogen, and the Gross Calorific Value at various gas buses. Finally, the proposed technique is validated using IEEE 24-bus RTS and Belgium gas transmission system.
|
1,039 |
Please write an abstract with title: Effects of gate-to-body tunneling current on pass-transistor based PD/SOI CMOS circuits, and key words: Silicon on insulator technology, CMOS integrated circuits, Tunneling, MOSFETs. Abstract: The gate-to-body tunneling current (I/sub gb/) in PD/SOI devices resulting from the electron tunneling from the valence band has been shown to charge/discharge the floating-body, thus changing the body voltage and V/sub T/ and affecting circuit operations. The authors present a detailed study on the effect of gate-to-body tunneling current on pass-transistor-based PD/SOI CMOS circuits in a 1.2 V, 0.13 /spl mu/m PD/SOI technology with L/sub poly/= 0.075 /spl mu/m, physical t/sub OX/ = 1.5 nm, t/sub Si/ = 120 nm, and t/sub BOX/ = 145 nm.
|
1,040 |
Please write an abstract with title: Two novel FDTD based UWB indoor propagation models, and key words: Finite difference methods, Time domain analysis, Dispersion, Frequency dependence, Differential equations, Ultra wideband technology, Bandwidth, Frequency measurement, Time measurement, Frequency conversion. Abstract: This paper presents two novel finite-difference time-domain (FDTD) based methods for UWB propagation modelling. For the dispersive FDTD model, Debye material is considered and the frequency dependent material information is discretely converted into time domain by using differential equation-based algorithm; for the sub-band FDTD model, the whole ultra wideband (3.1-10.6 GHz) is divided into 11 subbands with 700 MHz bandwidth and each sub-band is simulated separately using measured frequency-dependent material properties. Both the dispersive FDTD and the sub-band FDTD methods are verified by comparing reflection coefficients obtained from one-dimensional (1-D) simulation and analytical equations. The results from two-dimensional (2-D) dispersive FDTD, subband FDTD and UWB ray tracing simulations are obtained and discussed.
|
1,041 |
Please write an abstract with title: Incremental Learning for Enhanced Personalization of Autocomplete Teleoperation, and key words: Representation learning, Deep learning, Adaptation models, Automation, System performance, Transfer learning, User experience. Abstract: Remote controlling robots without any automated help is difficult due to various limitations. Autocomplete mitigates this difficulty by automatically detecting and completing the intended motions on robots from the input of the user. Such an approach can improve the system performance and reduce the load on the operator. Usually, recognizing intended motions is achieved using pre-trained Deep Learning (DL) models. In this paper, we introduce personalization to the autocomplete teleoperation framework when new operators take over by customizing the autocomplete DL model using incremental learning. Also, we tackle the problem of concept drift that arises in real-life applications; the data distribution of already learned classes may change in unforeseen ways as new observations of these classes come sequentially over time. We create and update an exemplar set using new observations of the classes online so that the model can be trained to adapt to the new observations. Several scenarios have been evaluated to balance the speed of learning with the accuracy of the model, and results demonstrate the effectiveness of the proposed models and their advantage in adapting to the specific operator versus our previous framework: personalization using transfer learning with full feedback.
|
1,042 |
Please write an abstract with title: A silicon-based bulk micro-machined microelectrode biosensor with SU-8 micro reaction pool, and key words: Microelectrodes, Biosensors, CMOS technology, Micromachining, Silicon, Costs, Polymers, Anisotropic magnetoresistance, Wet etching, Gold. Abstract: A new silicon-based amperometric microelectrode biosensor made with bulk micromachining technology is provided. We designed this new biosensor and fabricated it with anisotropic silicon wet etching technique. P-type silicon wafers, Au and SU-8 are used for making substrate, microelectrode and micro reaction pool respectively. To our knowledge, consecutive platinization and polymerization of pyrrole is firstly used consecutively for microelectrode surface modification. The sensor aims for low unit cost, small dimensions and compatibility with CMOS technology. SU-8 micro reaction pools are made to contain detection solution to reduce reagent volume and unit cost. Bulk micromachining, platinization and polymerization of pyrrole enhance sensitive coefficient, thus helping to miniaturize its dimensions and to reduce unit cost. Using p-type silicon wafers as substrates make compatibility with CMOS technology possible. Successful experimental results have been achieved for glucose detection. Compared to conventional amperometric biosensors and amperometric microelectrode biosensors made with surface micromachining technology, it has several advantages, such as smaller sensing surface area (1 mm /spl times/ 1 mm), lower detection limit (1/spl times/10/sup -4/ M), larger sensitive coefficient (39.640 nA mM/sup -1/ mm/sup -2/), broader linear range (1/spl times/10/sup -4/-1/spl times//sup -2/ M), better replicability (3.2% RSD for five respective detections) and stability (enzyme efficiency remains well above 95% after being stored for a month), easier to be made into arrays and to be integrated with processing circuitry, etc.
|
1,043 |
Please write an abstract with title: On projection-based algorithms for model-order reduction of interconnects, and key words: Integrated circuit interconnections, Polynomials, Numerical stability, Hilbert space, Frequency, High-speed electronics, Circuit optimization, Signal design, Circuit simulation, Design optimization. Abstract: Model-order reduction is a key technique to do fast simulation of interconnect networks. Among many model-order reduction algorithms, those based on projection methods work quite well. In this paper, we review the projection-based algorithms in two categories. The first one is the coefficient matching algorithms. We generalize the Krylov subspace method on moment matching at a single point, to multipoint moment-matching methods with matching points located anywhere in the closed right-hand side (RHS) of the complex plane, and we provide algorithms matching the coefficients of series expansion-based on orthonormal polynomials and generalized orthonormal basis functions in Hilbert and Hardy space. The second category belongs to the grammian-based algorithms, where we provide efficient algorithm for the computation of grammians and new approximate grammian-based approaches. We summarize some important properties of projection-based algorithms so that they may be used more flexibly.
|
1,044 |
Please write an abstract with title: The Dual Codes of Several Classes of BCH Codes, and key words: Codes, Generators, Linear codes, Codecs, Standards, Indexes, Hamming distance. Abstract: As a special subclass of cyclic codes, BCH codes have wide applications in communication and storage systems. A BCH code of length $n$ over $\mathbb {F}_{q}$ is always relative to an $n$ -th primitive root of unity $\beta $ in an extension field of $\mathbb {F}_{q}$ , and is called a dually-BCH code if its dual is also a BCH code relative to the same $\beta $ . The question as to whether a BCH code is a dually-BCH code is in general very hard to answer. In this paper, an answer to this question for primitive narrow-sense BCH codes and projective narrow-sense ternary BCH codes is given. Sufficient and necessary conditions in terms of the designed distances $\delta $ will be presented to ensure that these BCH codes are dually-BCH codes. In addition, the parameters of the primitive narrow-sense BCH codes and their dual codes are investigated. Some lower bounds on minimum distances of the dual codes of primitive and projective narrow-sense BCH codes are developed. Especially for binary primitive narrow-sense BCH codes, the new bounds on the minimum distances of the dual codes improve the classical Sidel’nikov bound, and are also better than the Carlitz and Uchiyama bound for large designed distances $\delta $ . The question as to what subclasses of cyclic codes are BCH codes is also answered to some extent. As a byproduct, the parameters of some subclasses of cyclic codes are also investigated.
|
1,045 |
Please write an abstract with title: A New Multiplication Technique for LWE Based Fully Homomorphic Encryption, and key words: Tensile stress, Encryption, Lattices, Switches, Noise measurement, Probability distribution. Abstract: We propose a new multiplication technique for LWE based fully homomorphic encryption schemes. Unlike previous schemes, multiplication does not increase the size of the ciphertext. As a result, there is no need for relinearization. The noise associated with it increases only linearly.
|
1,046 |
Please write an abstract with title: Laser-Aided Quantitative Sampling of the Sea Bed, and key words: Lighting, Production, Biomedical optical imaging, Optical sensors, Petroleum, Monitoring, Time measurement, Chemicals, Sampling methods, Organisms. Abstract: Underwater photographic surveys are often used methods for obtaining data applicable to long-term environmental studies. Difficulties arise, however, from interpretation of photographic data taken at differing camera range and attitude with respect to the subject. A recently developed experimental system which uses structured illumination from helium-neon lasers, has proven useful in the reduction of these camera positioning problems. The system design will be discussed, and its response to positional changes under ideal conditions will be estimated. Operational advantages of the system will be described and plans for future implementation of structured illumination systems will be presented.
|
1,047 |
Please write an abstract with title: A Low Profile Reflective Metasurface Element for Generating Vortex Wave, and key words: Technological innovation, Electric potential, Shape, Simulation, Conferences, Electromagnetic scattering, Transforms. Abstract: In this paper, a new type of reflective metasurface element with low profile is proposed. The simulation results show that the element has a reflection phase shift of 425 degrees at 10 GHz with the change of size, which meets the requirement of 360 degrees phase shift. Two types of reflective metasurface with vortex wave are designed by using this element. The mode numbers of the two reflective metasurfaces are l=+1 and l=+2, respectively. Simulation results show that the phase shift above the two metasurface are 2π and 4π respectively. Overall dimension of the antenna is 201.5 mm × 201.5mm × 3.5mm.
|
1,048 |
Please write an abstract with title: Performance Analysis of 8T FinFET SRAM Bit-Cell for Low-power Applications, and key words: Random access memory, FinFETs, Circuit stability, Stability analysis, Logic gates, SRAM cells, CMOS technology. Abstract: FinFET emerged as one of the popular technologies which are replacing the MOS SRAM because of the similarity in the fabrication process and the most attractive advantage is low leakage and high stability. So, many FinFET structures have been proposed like Shorted Gate FinFET which is almost similar to CMOS devices. In, this paper, we have analyzed 8T FinFET SRAM using SG and LP-IG mode for leakage power and stability issues. The LP-IG mode is used to increase the stability and performance of the circuit. A comparison is made between the shorted gate 8T SRAM and LP mode SRAM for leakage power and SNM. SRAM has been simulated at 20nm PTM technology. It has been found that leakage power has been reduced by 29% and SNM improved by 5 % using LP-IG mode of FinFET at a supply voltage of 0.5V. The supply voltage has been scaled from 1V to 0.5V for low power applications. So, the circuit is simulated for the subthreshold region of operation also.
|
1,049 |
Please write an abstract with title: Multi-Wavelength Silicon Photonic Neural Network for WDM Optical Communication Systems, and key words: Q-factor, Optical fibers, Maximum likelihood estimation, Recurrent neural networks, Optical fiber networks, WDM networks, Silicon photonics. Abstract: We propose and demonstrate a photonic recurrent neural network which can simultaneously compensate for fiber dispersion and nonlinearity in WDM communication systems in the photonic domain. The resulted Q-factor outperforms some conventional DSP methods.
|
1,050 |
Please write an abstract with title: Structure and magnetic switching of thin-film a-HITPERM/SiO/sub 2/ soft magnetic multilayers, and key words: Magnetic switching, Magnetic films, Superconducting films, Amorphous magnetic materials, Magnetic separation, Superconducting magnets, SQUIDs, Magnetic multilayers, Nanocrystals, Switches. Abstract: Laminated (Fe/sub 0.7/Co/sub 0.3/)/sub 88/Zr/sub 7/B/sub 4/Cu/sub 1/ amorphous HITPERM/SiO/sub 2/ multilayer thin films have been studied by room-temperature (RT) pulsed inductive microwave magnetometry (PIMM) in single, bilayer, and trilayer films. Switching has been measured in a multilayer film with six (50 nm) HITPERM layers, separated by five (2 nm) SiO/sub 2/ layers. Films were investigated by conventional transmission electron microscopy (TEM), high-resolution TEM (HREM), and superconducting quantum interference device (SQUID) magnetometry. HREM and TEM show BCC FeCo nanocrystals to nucleate on top of SiO/sub 2/ layers. Plan view TEM on the top layer reveals FCC nanocrystals that align in chains with spacing of /spl sim/50-100 nm. SQUID magnetometry shows reversal to begin by rotation in a single layer for H<14.4 kA/m (180 Oe) followed by nearly simultaneous reversal of several layers. A final switching event is thermally activated, requiring fields in excess of 8 kA/m (100 Oe) to switch at 2 K, but switching at the same field as other layers for elevated temperatures (RT).
|
1,051 |
Please write an abstract with title: Exploiting in-Slot Micro-Synchronism for S-ALOHA, and key words: Throughput, Internet of Things, Long Term Evolution, Wireless communication, Protocols, Physical layer, Interference cancellation. Abstract: Proliferation of the urban Internet-of-Things (IoTs) for smart cities has fuelled massive amounts of data over wireless cellular networks. Random access (RA) system of wireless cellular networks, e.g., 5G New Radio (NR), based on S-ALOHA system should cope with ever-growing IoT traffic. This work proposes S-ALOHA system with time offsets (TOs), where one slot consists of K TOs and one packet transmission time. The length of the overall TOs is a fraction of a packet transmission time. In the system users (re)transmit to the boundary of a TO randomly selected. This enables the base station (BS) to inform the users of who transmits the first and the last packets in the slot with collision so that the two users can retransmit successfully in the following two slots respectively. Our throughput analysis compared to simulations shows that adopting even with three and four TOs surpasses the throughput limit of S-ALOHA system without TOs. Additionally, we propose two Bayesian-optimized backoff algorithms for S-ALOHA system with TOs, with which users can apply throughput-optimal (re)transmission probability or uniform backoff window even in unsaturated traffic scenarios. Numerical results demonstrate that the proposed backoff algorithms can achieve the throughput close to an ideal system and drastically reduce the access delay compared to S-ALOHA system.
|
1,052 |
Please write an abstract with title: High temperature stable n-i-n resonant tunneling diode embedded InAs quantum dots in GaAs/Al/sub x/Ga/sub 1-x/As double barriers, and key words: Temperature, Resonant tunneling devices, Quantum dots, US Department of Transportation, Gallium arsenide, Semiconductor diodes, Substrates, Materials science and technology, Electrons, Organic chemicals. Abstract: The quantum dot (QD) resonant tunneling diode (RTD) with Al/sub x/Ga/sub 1-x/As double-barriers has been investigated under operating large temperature ranges. A superior temperature-stability of peak-to-valley current ratio (PVR) is demonstrated. The electrons of resonant tunneling transport via nm-scale InAs quantum dots buried in GaAs spacer layers bounded by a pair of very thin Al/sub 0.3/Ga/sub 0.7/As barriers.
|
1,053 |
Please write an abstract with title: Different Design Considerations for Designing of High Speed Permanent Magnet Motors, and key words: Analytical models, Windings, Rotors, Permanent magnet motors, Synchronous motors, Software, Permanent magnets. Abstract: High speed permanent magnet motors are widely used in aerospace applications like Electric fuel pumps, Electric cabin air compressors, Nitrogen generation systems, Supplemental cooling units. This paper aims to study the design aspects of high speed permanent magnet motors. The methodology of the project is to study the permanent magnet motors followed by the procedure of design calculations for high speed permanent magnet motors and the simulations that will be done in MagNet and MotorSolve software. The paper will be focused on the analysis of the permanent magnet motor design with the help of simulation software.
|
1,054 |
Please write an abstract with title: An extended cavity diode laser constructed with additive manufacturing: Contribution for a brazilian compact atomic frequency standard with cold atoms, and key words: Time-frequency analysis, Temperature, Atomic beams, Aluminum, Conductivity, Laser stability, Laser modes. Abstract: The Time and Frequency Metrology field dedicated towards more compact standards has research groups dedicated to cold atoms systems, in order to improve embedded applications. Our group has been developing a compact system using 133Cs cold atoms and already showed some versions of proof-of-principle. We developed a first prototype of an extended cavity diode laser using additive manufacturing of ABS (acrylonitrile butadiene styrene) and obtained a very light and thermally isolated version with an intracavity interference filter. We will show preliminary results of this first version and discuss some aspects of the system for the new compact frequency standard.
|
1,055 |
Please write an abstract with title: Predicting driver's decision- making behaviour in Amber phase using ML techniques, and key words: Support vector machines, Decision making, Artificial neural networks, Safety, Kernel, Random forests, Vehicles. Abstract: Generally drivers face a dilemma as they approach the intersection during the amber phase. Due to the existence of this Dilemma zone, safety and efficiency of the intersection affect. Whereas, decision-making behaviour depends upon different parameters such as approaching speed, vehicular volume per cycle, type of vehicle, distance from stop line, number of lanes at the intersection, yellow phase and driver's attributes such as age and gender. The two main contributions offered by this paper are first, developing the prediction and classification models of driver's decision using Artificial Neural Network (ANN) and Support Vector Machine (SVM). Second, defining the importance of parameters using Random Forest which influences the driver's decision-making behaviour. For this study, 328 driver's decision or responses were collected through video graphic survey conducted at three different locations of Hyderabad, India. The research concludes that SVM with the sigmoidal kernel is showing more classification accuracy when compared with other kernels. Whereas; when SVM (71.95%) and ANN (76.82%) models are compared than ANN was found to be having more accuracy. It was found that distance from stop-line, approaching speedand driver's age is found to the most affecting parameters among all considered parameters.
|
1,056 |
Please write an abstract with title: Existence of the normalized B-basis and a practical construction method of the B-algorithm, and key words: Spline, Chebyshev approximation, Surface topography, Surface reconstruction, Sufficient conditions, Shape, Stochastic processes, Design automation, Computer aided manufacturing, CADCAM. Abstract: Necessary and sufficient conditions for the existence of a normalized B-basis on an extended Chebyshev space are presented. A method for constructing a normalized B-basis is given and the symmetry of the normalized B-basis is proved. Furthermore, a practical construction method for the B-algorithm on an extended Chebyshev space is discussed. Normalized B-bases and B-algorithms on some function spaces are also given.
|
1,057 |
Please write an abstract with title: Distributed generation impact on reliability and power quality indices, and key words: Distributed control, Power quality, Power system reliability, Voltage, Power generation economics, Environmental economics, Substations, Investments, USA Councils, Power system restoration. Abstract: Properly sited distributed generation (DG) can increase the feeder capacity limit, but this does not necessarily produce an improvement in system reliability or power quality, as quantified by standard indices. The DG may have a positive impact on reliability through faster system restoration following a fault. The DG can also improve reliability for the owner, and may reduce the severity of voltage sags near the DG. Indices normalized to the number of customers dilute these positive benefits. The DG often has a negative impact on reliability indices through sympathetic tripping, required changes to utility overcurrent device settings, and increased fuse blowing. The utility cannot assume DG automatically improves system reliability, and action may be required to ensure that reliability does not actually degrade for other customers.
|
1,058 |
Please write an abstract with title: Simultaneous Transmission of Data and Sensory Signal with Gradual Increase in Channel Spacing, and key words: Optical sensors, Optical pulses, Channel spacing, Bit error rate, Wavelength division multiplexing, Nonlinear optics, Optical variables measurement. Abstract: The topic of this paper is the simultaneous transmission of selected data services and a sensory signal over one single mode optical fiber. The simultaneous transmission of multiple optical signals by a single optical fiber was realized using a dense wavelength division multiplex (DWDM). Data signals of 10, 100, and 200Gbps and a time signal were selected for co-transmission. The sensor signal was realized by a high-power pulse signal. The main purpose of this paper is the problem of sufficient width of the DWDM transmission channel and sufficient distance between individual transmission channels and possible occurrence of nonlinear phenomena. In particular, the effect of possible mutual interference of individual transmission channels at 50GHz spacing between individual signals was analyzed.
|
1,059 |
Please write an abstract with title: Parallelized Light-sheet Microscopy with Flexible and Encoded Illumination, and key words: Optical microscopy, Optical diffraction, Lighting, Tools, Optical imaging, Electron microscopy, Synchronization. Abstract: Light Sheet Microscopy (LSM), being capable of optical sectioning at diffraction-limited resolution and at low light doses [1] , has become the tool of choice for volumetric imaging of large samples. Unfortunately, traditional LSM architectures are limited in speed because a z-stack is collected by either sample translation or synchronized movement of objective lens and light-sheet. A promising solution to avoid slow mechanical movements is extending the Depth-of-Field (DoF) of the microscope [2] , [3] and moving only the light-sheet. However, the DoF extension comes at the cost of a loss of photons, compromising the signal-to-noise ratio of the images. Here, we propose an innovative technique devoted to restoring the signal content of the images, while preserving the speed of extended DoF microscopes.
|
1,060 |
Please write an abstract with title: Comparison of Image Denoising using Traditional Filter and Deep Learning Methods, and key words: Machine learning, Image denoising, Gaussian noise, Noise reduction, Noise measurement, Telecommunications, PSNR. Abstract: Image technology often uses in our everyday life. It is useful for many applications such as telecommunication system, automation system in self-driving vehicles, surveillance system and medical research area. However, the image can be interrupted by noise from the environment or electric signal that distorts the detail of the image. In recent years, there had been many image denoising algorithms. Generally, they can be divided into 2 types: traditional filter and deep learning method. This research presents a comparison of the image denoising algorithm using peak signal-to-noise ratio (PSNR) between traditional and deep learning methods on Gaussian noise and Salt and pepper noise condition. Moreover, this experiment also compared the PSNR value of deep learning between noise image to noise image (N2N) learning scheme and noise image to clean image (N2C) learning scheme. According to the results, deep learning method has PSNR value higher than traditional method and N2C learning scheme has PSNR value higher than N2N learning scheme.
|
1,061 |
Please write an abstract with title: Research on initializing student model, and key words: Object oriented modeling, Testing, Concrete, Information technology, Educational programs, Sun, Chaos, Object oriented programming, Computer languages, Aggregates. Abstract: This paper discusses the strategies of initializing student model on the basis of student model. Firstly, it explores the student model and evaluation strategies, and introduces the model. Secondly, it describes the initializing parameters of student model. And at last, it simulates the model by using object-oriented programming, evaluates this system based on its application and points out the future work.
|
1,062 |
Please write an abstract with title: Harmonic response of variable-structure-controlled Van der Pol oscillators, and key words: Oscillators, Nonlinear control systems, Control system synthesis, Motion control, Control systems, Harmonic distortion, Limit-cycles, Robustness, Circuits, Polynomials. Abstract: A variable-structure-controlled (VSQ Van der Pol oscillator is shown to produce an ideal average response of perfect harmonic nature when its motions are made to slide on a circle defined in the interior of its limit cycle. The sinusoidal responses are robust with respect to parameter perturbations and external disturbances.
|
1,063 |
Please write an abstract with title: Development of piezoelectric motor using momentum generated by bimorph, and key words: Dielectric losses, Guidelines, Controllability, Magnetic fields, Magnetic noise, Vibrations, Temperature, Rotors, Steady-state, Torque. Abstract: Piezoelectric motors have been used in many applications where excellent controllability and fine position resolution are required or magnetic field noise should be eliminated. However, the piezoelectric motor has two major drawbacks. One is difficulty in maintaining constant vibration amplitude with temperature rise and wear, and the other is heat generation induced by dielectric and mechanical losses. A piezoelectric motor that can overcome these problems is proposed. It is operated using momentum exchange between a bimorph and a rotor. To maximize the motor's steady state velocity and static torque, a guideline is established using two bimorph models. The guideline is then partially validated by comparison between simulation and experiment results. There was no heat generation in several hours of testing.
|
1,064 |
Please write an abstract with title: Image enhancement by the tensor transform, and key words: Image enhancement, Tensile stress, Fourier transforms, Discrete Fourier transforms, Digital signal processing, Two dimensional displays, Image processing, Signal processing, Filtration, Discrete transforms. Abstract: In this paper a new method of image enhancement based on the tensor transform of images with respect to the Fourier transform is described. The method is based on the fact that the two-dimensional (2-D) image can be represented uniquely by a set of 1-D signals that split the 2-D Fourier transform into different groups of samples. Each splitting signal carries information of the 2-D Fourier transform at samples of a specific group. The image enhancement procedure can be reduced to processing splitting-signals. The experimental results shows that the enhancement can be achieved by processing only one or a few splitting signals. The enhancement of images is considered with respect to the quantitative measure of image enhancement based on the Weber definition of the contrast.
|
1,065 |
Please write an abstract with title: Determining the Eligibility of Candidates for a Vacancy Using Artificial Neural Networks, and key words: Training, Artificial neural networks, Task analysis, Recruitment, Expert systems, Neurons, Correlation. Abstract: With the development of technology, new methods are being created to solve various tasks. Methods that use artificial neural networks (ANN) have become part of our routine and are very rapidly rooted in the Internet and computers. This work uses modern achievements in the ANN and methods of their training to solve the problem of correlations between objects, namely, vacancies and candidate information. The task of recruiting staff to expand or upgrade their staff has been and still is today. With the development of the Internet, this task has made new sense, because many resumes are scattered across different web services. So the question is: How do employers review and process information on all job applicants? This is what artificial neural networks will help, because with their help this process can be completed several times faster.Methods that use artificial neural networks (ANN) have become part of our routine and are very rapidly rooted in the Internet and computers. This work uses modern achievements in the ANN and methods of their training to solve the problem of correlations between the objects, namely a vacancy and information about a candidate. A vast array of data is processed and relations between the specific components are discovered. The suggested approach can be used not only for this specific task but also for a whole class of similar tasks like classification and pattern recognitionAll these tasks can be solved with different ANN parameters which should be configured for every particular set of data. There are many ways to improves. From input text normalization and different vectorization algorithms to ANN topology, parameters, and training algorithms. Considered ANN and its parameters with chosen training algorithm works with high accuracy level only for tasks described in this paper. for every other task, there is a need to experimentally and theoretically proven other parameters and topology to reach high accuracy.
|
1,066 |
Please write an abstract with title: A comparison of line extraction algorithms using 2D laser rangefinder for indoor mobile robotics, and key words: Mobile robots, Data mining, Robot vision systems, Computer vision, Sonar navigation, Infrared sensors, Robot sensing systems, Feature extraction, Robot localization, Indoor environments. Abstract: This paper presents an experimental evaluation of different line extraction algorithms on 2D laser scans for indoor environment. Six popular algorithms in mobile robotics and computer vision are selected and tested. Experiments are performed on 100 real data scans collected in an office environment with a map size of 80m /spl times/ 50m. Several comparison criteria are proposed and discussed to highlight the advantages and drawbacks of each algorithm, including speed, complexity, correctness and precision. The results of the algorithms are compared with the ground truth using standard statistical methods.
|
1,067 |
Please write an abstract with title: Calculation of DC current distribution in AC power system near HVDC system by using moment method coupled to circuit equations, and key words: Current distribution, Power systems, HVDC transmission, Moment methods, Coupling circuits, Equations, Grounding, Electrodes, Transformers, Electric fields. Abstract: When dc current is injected into the earth through the grounding electrodes of a high-voltage direct current (HVDC) system, transformers in ac system may be under dc bias if the dc currents flowing through the transformers are large enough. In this paper, a numerical method coupling the method of moments (MoM) to circuit equations is presented to calculate the dc current distribution in ac power system caused by an HVDC system. The MoM is used to calculate the electric fields in complex earth structure caused by all the grounding systems including the dc grounding electrodes, the ac substation grounding systems and the long metal pipe lines. The circuit equations are coupled to the moment method to take account of the effects of the transmission lines. By using the method, the dc current distribution in an ac power system caused by an HVDC system is analyzed. Some useful conclusions are drawn from the analyzed results.
|
1,068 |
Please write an abstract with title: Tunable surface-normal modulators operating near 1550 nm with a high-extinction ratio at high temperatures, and key words: Optical surface waves, Temperature measurement, Surface waves, Extinction ratio, Quantum well devices, Optical tuning, Thermoelectricity, Unmanned aerial vehicles, Vehicle dynamics, Optical modulation. Abstract: We present high-performance surface-normal modulators based on unique properties of stepped quantum wells at an eye-safe wavelength of 1550 nm. Fabricated devices show higher efficiency and a 7-dB higher extinction ratio compared with devices with coupled quantum-well active layers. Moreover, the energy band edge of the device can be tuned over 70 nm while maintaining a 3-dB modulation depth. Such a wide tuning range eliminates the need for a thermoelectric cooler and is a critical advantage for many applications such as unmanned aerial vehicles and dynamic optical tags. The devices show good performance up to the maximum measured temperature of 70/spl deg/C.
|
1,069 |
Please write an abstract with title: State feedback stabilization of discrete-time nonlinear systems, and key words: State feedback, Nonlinear systems, Riccati equations, Lyapunov method, Nonlinear equations, Sufficient conditions, Linear matrix inequalities, Nonlinear control systems, Control systems, Digital systems. Abstract: In this note, we investigate the problem of state feedback stabilization of affine nonlinear discrete-time systems. From a prescribed Lyapunov function and a modified Riccati equation, we show that the proposed state feedback law covers a large class of dynamical systems. In particular when the unforced dynamic model is not Lyapunov stable. Sufficient conditions for asymptotic stabilization are expressed in terms of matrix inequalities. High performances of the proposed technique will be shown through academic examples.
|
1,070 |
Please write an abstract with title: Characteristic Mode Analysis of Multi-Octave Asymmetric Dipoles, and key words: Geometry, Slot antennas, Dipole antennas, Antenna theory, Europe, Solids, Characteristic mode analysis. Abstract: This paper discusses the impedance and front-to-back ratio performance of asymmetric dipoles. These parameters are very important when the antennas are placed over a conductive ground plane and should operate over multi-octave frequency bands. The operation of these antennas is usually described relying on analogies with more classical structures such as symmetric dipoles and tapered slot antennas. To provide a solid theoretical background to this intuition, this work presents the application of characteristic mode analysis to multi-octave dipole antennas. Firstly, a brief review of the main characteristic mode content is presented. Then, characteristic mode analysis is applied to three antenna concepts to emphasize how their geometry impacts on the relevant figures of merit. This allows to draw some conclusions on the achievable performance by different designs.
|
1,071 |
Please write an abstract with title: CCGT Power Plant Response Analysis and Mission Planning for Deregulated Electricity Market, and key words: Heating systems, Visualization, Renewable energy sources, Costs, Maintenance engineering, Electricity supply industry, Planning. Abstract: Due to the penetration of renewable sources of energy, Combined Cycle Gas Turbines (CCGTs) have to be operated more flexibly in a deregulated electricity market where generation, transmission, and distribution are managed by different entities. It is crucial to keep the operation and maintenance costs of the CCGTs to a minimum in order to maximize profit. A trade-off study was performed with different weather scenarios to see which operational variable of the plant had the major impact on the overall profit. Results show that base load and heat rate has the most significant effect on maximizing profit. An interactive parametric environment was created to support visualizing the trade study results. This tool can help the operator decide how to operate the plant efficiently in order to gain the maximum profit.
|
1,072 |
Please write an abstract with title: A singular perturbation approach to modeling and control of Markov chains, and key words: Markov processes, Aggregates, Power system modeling, Cost function, Equations, Dynamic programming, Application software, Computer network management, Computer networks, Large-scale systems. Abstract: Finite state continuous time Markov processes with weak interactions are modeled as singularly perturbed systems. Aggregate states are obtained using a grouping algorithm. Two-time scale expansions simplify cost equations and lead to decentralized optimization algorithms.
|
1,073 |
Please write an abstract with title: Radar-Based Multisensor Fusion for Uninterrupted Reliable Positioning in GNSS-Denied Environments, and key words: Radar, Doppler radar, Global navigation satellite system, Navigation, Sensors, Radar detection, Inertial sensors. Abstract: Multi-sensor integration is necessary to provide high-precision navigation solutions for autonomous vehicles. Land-vehicles often rely on global navigation satellite systems (GNSS) to acquire its position. However, there are some environments where GNSS signals are unavailable, such as indoor-parking garages, tunnels, and under bridges. Additional sensors are required to allow reliable positioning regardless of location. The vehicle’s on-board low cost inertial sensors (accelerometers and gyroscopes) are used for positioning in GNSS-denied environments. Despite their fidelity in short-term usage, inertial navigation systems (INS) are susceptible to drifts in their positioning solution due to the inherent inertial sensor errors, causing positioning errors over time in prolonged scenarios, such as indoor-parking garages. Modern land-vehicles can be equipped with a diversified set of perception systems (e.g. LiDAR, cameras) to provide information about the surrounding environment. These systems are well-studied in literature to provide accurate positioning. Yet, the performance of these systems may degrade in weather conditions such as heavy snow or rain, and may fail in degraded vision environments. The proposed research addresses some of the limitations of current positioning technologies for land vehicles by integrating low-cost on-board motion sensors with the all-weather electronic scanning radar (ESR) systems presently used in adaptive cruise control. This research employs a method of estimating the vehicle position based on multiple ESR systems. Integration with the on-board motion sensors guarantees continuous positioning estimation for uninterrupted navigation. The multi-sensor system integration utilizes extended Kalman filter (EKF) with a unique dynamic tuning approach for reliable and uninterrupted positioning. The proposed solution was examined in real GNSS-denied scenario of an indoor parking. This research has reached an uninterrupted self-contained EKF-based multi-sensor positioning system providing less than 2m error 90% of the time in a GNSS-denied environment for up to four minutes.
|
1,074 |
Please write an abstract with title: Research on Investment Forecast of Distribution Based on BP Neural Network, and key words: Investment, Power grids, Indexes, Predictive models, Power cables, Companies, Communication cables. Abstract: In order to further improve the construction of distribution network, to solve the problem of insufficient investment and excessive surplus, to improve the efficiency of capital utilization, we should to forecast and analyze the investment of distribution network project urgently. Webuild the investment prediction model of distribution network engineering, determine the key elements that affect the project investment cost. We obtain the predicted value of the project after model training, thus provide data reference for the project cost control.
|
1,075 |
Please write an abstract with title: ASER: Scalable Distributed Routing Protocol for LEO Satellite Networks, and key words: Satellites, Network topology, Scalability, Low earth orbit satellites, Routing, Routing protocols, Topology. Abstract: Low earth orbit (LEO) satellite networks are promising at constructing the satellite Internet. Dynamics of a large-scale LEO network topology induces critical problems on routing efficiency and scalability. Existing approaches either suffer from such routing problems, or have limited resilience against unpredictable link/node failures. We propose Area-based SatellitE Routing (ASER), a fully distributed routing protocol for LEO networks with high efficiency and scalability. ASER uses a hierarchical routing mechanism, which groups satellites into areas, in such a way that the inter-area routing never changes due to handovers of inter-satellite links. Routing can be quickly reconstructed with little overhead when either regular or unpredictable topology changes occur. We develop ASER based on OSPF, and propose an efficient algorithm to construct the forwarding table, enabling standard packet forwarding. Simulations validate that ASER can reduce the convergence time by more than 50%, and reduce computation and control overhead by orders of magnitude.
|
1,076 |
Please write an abstract with title: Research on GAN-based Text Effects Style Transfer, and key words: Training, Conferences, Morphology, Generative adversarial networks, Information systems. Abstract: With the development of neural style transfer and generative adversarial network, the research of text effect style transfer has appeared. The text effect style transfer aims to render text images with style images to produce text effects images. However, for more complex text, the existing methods will generate unrecognizable font images. Therefore, we propose to add morphological methods to the glyph transformation to limit the degree of glyph transformation, and add distance transformation loss when training the texture network to limit the texture transfer, so as to improve the overall transformation effect. Experiments show that, compared with other existing technologies, our proposed method is more suitable for stylizing complex glyph images.
|
1,077 |
Please write an abstract with title: DNN-based Detectors for Massive MIMO Systems with Low-Resolution ADCs, and key words: Deep learning, Phase shift keying, Maximum likelihood detection, Power demand, Conferences, Detectors, Massive MIMO. Abstract: Low-resolution analog-to-digital converters (ADCs) have been considered as a practical and promising solution for reducing cost and power consumption in massive Multiple-Input-Multiple-Output (MIMO) systems. Unfortunately, low-resolution ADCs significantly distort the received signals, and thus make data detection much more challenging. In this paper, we develop a new deep neural network (DNN) framework for efficient and low-complexity data detection in low-resolution massive MIMO systems. Based on reformulated maximum likelihood detection problems, we propose two model-driven DNN-based detectors, namely OBMNet and FBMNet, for one-bit and few-bit massive MIMO systems, respectively. The proposed OBMNet and FBMNet detectors have unique and simple structures designed for low-resolution MIMO receivers and thus can be efficiently trained and implemented. Numerical results also show that OBMNet and FBMNet significantly outperform existing detection methods.
|
1,078 |
Please write an abstract with title: Optimizing the sweep cycle of time-varying comb filters for binaural dichotic presentation in sensorineural hearing impairment, and key words: Finite impulse response filter, Auditory system, Frequency, Speech coding, Deafness, Ear, Band pass filters, Biomembranes, Testing, Digital filters. Abstract: Splitting of speech into two using time-varying comb filters has helped in reducing the effect of increased temporal and spectral masking simultaneously. The time varying comb filters contained pre-calculated sets of coefficients, which were selected in steps, such that a cyclic sweeping of magnitude responses occur. Presently the investigation has been carried out to find the best sweep cycle. The two sets of coefficients selected at any instant of time formed a pair of complementary comb filters with 18 auditory critical bands which provided spectral separation of components that are likely to get masked. Sweeping of the bands provides temporal separation and reduces the effect of temporal masking. As the number of magnitude responses swept increases, the sweeping becomes smoother. The sweep cycle duration determines the time for which the sensory cells of the basilar membrane remain stimulated. Perception evaluation tests were conducted with slowly sweeping sine wave and running speech from a male and a female speaker for sweep cycles of 10, 20, 40, 50, 60, 80, and 100 ms. The best results were obtained for a sweep cycle of 50 ms.
|
1,079 |
Please write an abstract with title: T-BERTSum: Topic-Aware Text Summarization Based on BERT, and key words: Bit error rate, Data mining, Context modeling, Semantics, Adaptation models, Computational modeling, Training. Abstract: In the era of social networks, the rapid growth of data mining in information retrieval and natural language processing makes automatic text summarization necessary. Currently, pretrained word embedding and sequence to sequence models can be effectively adapted in social network summarization to extract significant information with strong encoding capability. However, how to tackle the long text dependence and utilize the latent topic mapping has become an increasingly crucial challenge for these models. In this article, we propose a topic-aware extractive and abstractive summarization model named T-BERTSum, based on Bidirectional Encoder Representations from Transformers (BERTs). This is an improvement over previous models, in which the proposed approach can simultaneously infer topics and generate summarization from social texts. First, the encoded latent topic representation, through the neural topic model (NTM), is matched with the embedded representation of BERT, to guide the generation with the topic. Second, the long-term dependencies are learned through the transformer network to jointly explore topic inference and text summarization in an end-to-end manner. Third, the long short-term memory (LSTM) network layers are stacked on the extractive model to capture sequence timing information, and the effective information is further filtered on the abstractive model through a gated network. In addition, a two-stage extractive–abstractive model is constructed to share the information. Compared with the previous work, the proposed model T-BERTSum focuses on pretrained external knowledge and topic mining to capture more accurate contextual representations. Experimental results on the CNN/Daily mail and XSum datasets demonstrate that our proposed model achieves new state-of-the-art results while generating consistent topics compared with the most advanced method.
|
1,080 |
Please write an abstract with title: Nested Kriging Surrogates for Rapid Multi-Objective Optimization of Compact Microwave Components, and key words: Optimization, Microwave circuits, Microwave FET integrated circuits, Microwave integrated circuits, Microwave filters, Computational modeling. Abstract: A procedure for rapid EM-based multi-objective optimization of compact microwave components is presented. Our methodology employs a recently developed nested kriging modelling to identify the search space region containing the Pareto-optimal designs, and to construct a fast surrogate model. The latter permits determination of the initial Pareto set, further refined using a separate surrogate-assisted process. As an illustration, a three-section impedance transformer is designed for the best matching and minimum size. The set of trade-off designs is produced at the low computational cost of only a few hundred of high-fidelity EM simulations of the transformer circuit despite a large number of its geometry parameters.
|
1,081 |
Please write an abstract with title: Monitoring of peroxy radicals by chemical amplification enhanced photoacoustic spectroscopy, and key words: Spectroscopy, Gases, Atmospheric measurements, Europe, Air pollution, Time measurement, Real-time systems. Abstract: Peroxy radicals (HO 2 +RO 2 ) are crucial intermediates in many key atmospheric processes and contribute to the formation of major air pollutants, such as ozone and secondary organic aerosols 1 . Due to their high reactivity and their extremely low concentrations (typically <100 pptv), in-situ real time and interference-free measurements of peroxy radicals remain challenging.
|
1,082 |
Please write an abstract with title: Power Loop Inductance Extraction with High Order Polynomial Fitting Algorithm for SiC MOSFET Power Module Characterization, and key words: Inductance, MOSFET, Silicon carbide, Simulation, Fitting, Asia, Multichip modules. Abstract: An accurate method for extracting the power loop parasitic inductance with high order polynomial fitting algorithm is proposed for SiC MOSFET power module characterization. Extracting power loop inductance of SiC MOSFET power module characterization is more difficult compared with IGBT power module due to higher switching speed. The relationship between the maximum di/dt and the voltage spike at turn-off transient is revealed. Compared with the four existing methods, high-order fitting method provides accuracy and repeatability. The calculated results are consistent with the Ansys Q3D simulation results. The fitted lines with the calculated stray inductance and di/dt match with the drain-to-source voltage of SiC MOSFET power module at both turn-on and turn-off transient. High-order fitting polynomial method is effective to extract the power loop inductance of SiC MOSFET power module characterization.
|
1,083 |
Please write an abstract with title: Episodic wave data capture with miniaturized instrumentation, and key words: Instruments, Sea measurements, Batteries, Logistics, Costs, Sensor arrays, Ocean waves, Telemetry, Robustness, Sea surface. Abstract: Obtaining ocean wave data has traditionally been an expensive undertaking. Deployments are. often open-ended, because extreme conditions are often the most important to measure. Advances in electronic miniaturization have produced wave instrumentation, with impressive memory and telemetry capabilities, that are very small and inexpensive. Descriptions of miniature wave gages and logistics for this new approach are provided. Benefits and costs of present and potential applications are analyzed to determine this new wave measurement methodology's value. Particularly for applications where it is critical to capture specific events, savings of more than an order of magnitude can be realized using episodic, or event-deployed, data collection.
|
1,084 |
Please write an abstract with title: Nonlinear domain wall motion in magnetic thin films, and key words: Magnetic domain walls, Magnetic films, Coercive force, Motion analysis, Transistors, Nonlinear distortion, Anisotropic magnetoresistance, Damping, Drives, Gyromagnetism. Abstract: A calculation of the wall-motion response in thin films which combines Walker's dynamic theory with a conservative wall coercive force interaction has been done. The results are compared with recent wall motion data for Permalloy films. The comparison shows that the observed nonlinear response cannot be explained by these two factors alone. A more sophisticated analysis of wall motion in a conservative potential is needed. Relaxation effects may provide an alternate explanation of the nonlinear behavior.
|
1,085 |
Please write an abstract with title: SmCo/sub 5/-based thin films with high magnetic anisotropy for perpendicular magnetic recording, and key words: Perpendicular magnetic anisotropy, Perpendicular magnetic recording, Magnetic properties, Magnetic anisotropy, Saturation magnetization, Soft magnetic materials, Magnetic materials, Magnetic films, Coercive force, Pattern recognition. Abstract: An investigation was carried out on the effects of the addition of Cu and the thickness of the SmCo/sub 5/-based thin film with perpendicular magnetic anisotropy upon its magnetic properties, with the aim of reducing the Cu/Ti underlayer thickness. As a result, the Cu/Ti underlayer thickness necessary to obtain the squareness ratio of unity was successfully reduced from 125 to 50 nm. Moreover, for the SmCo/sub 5/ double-layered perpendicular magnetic recording media with a CoZrNb soft magnetic underlayer, the Cu/Ti underlayer thickness was further reduced to 35 nm. However, the magnetic cluster size and the values of coercivity and saturation field of the SmCo/sub 5/ media were found to be too large. Thus, we recognized the need for adjusting the cluster size and the magnetic properties to appropriate values, and also the need for investigating the possibility of using this material as patterned media or thermally assisted recording media.
|
1,086 |
Please write an abstract with title: Application of Process Mining for Tuberculosis Testing Process, and key words: Microbiology, Sodium, Medical services, Radiology, Trajectory, Data mining, Testing. Abstract: The advent of Information technology has had a huge impact on interpretation of the vast knowledge of information available in the health care sector. The vast amount of data generated in this area needs to be appropriately stowed (cached) in order to conduct automated analysis. A huge amount of research data exists in varied areas of health care sector such as extraction and analysis of scanned images, implications of results of various investigations and the treatment process. One related area which lacks significant research is the laboratory testing process to diagnose any illness, which is a prime step to initiate and provide apt treatment. One such disease which has been the cause of considerable morbidity and mortality worldwide is Tuberculosis (TB). Our objective was to study the applicability of process mining to extract the trajectories of diagnostic tests performed for the conformance of Tuberculosis (TB) and to verify time conformance of such tests conducted with that as specified by regulatory bodies.
|
1,087 |
Please write an abstract with title: TensorKMC: Kinetic Monte Carlo Simulation of 50 Trillion Atoms Driven by Deep Learning on a New Generation of Sunway Supercomputer, and key words: Technological innovation, Monte Carlo methods, Codes, Quantum chemistry, High performance computing, Optimization methods, Artificial neural networks. Abstract: The atomic kinetic Monte Carlo method plays an important role in multi-scale physical simulations because it bridges the micro and macro worlds. However, its accuracy is limited by empirical potentials. We therefore propose herein a triple-encoding algorithm and vacancy-cache mechanism to efficiently integrate ab initio neural network potentials (NNPs) with AKMC and implement them in our TensorKMC codes. We port our program to SW26010-pro and innovate a fast feature operator and a big fusion operator for the NNPs for fully utilizing the powerful heterogeneous computing units of the new-generation Sunway supercomputer. We further optimize memory usage. With these improvements, TensorKMC can simulate up to 54 trillions of atoms and achieve excellent strong and weak scaling performance up to 27,456,000 cores.
|
1,088 |
Please write an abstract with title: Variable Gate Voltage Control for Paralleled SiC MOSFETs, and key words: MOSFET, Silicon carbide, Asia, Logic gates, Threshold voltage, Voltage control, Transient analysis. Abstract: Silicon carbide (SiC) MOSFETs have been widely used in different power conversion applications due to their advantages of high switching frequency and low loss. Parallel connection of SiC MOSFET is a cost-effective and necessary solution for high power rating converter. However, due to the differences of devices parameters, imbalance current exists, which may damage the system. In this paper, the issues of the paralleling SiC MOSFETs are well analyzed based on the static characteristics of the devices. Based on the analysis, we can find that the unbalanced transient current caused by the differences of threshold voltages are important and require to be mitigated when paralleling SiC MOSFETs. Then, the operational principles of the proposed variable gate voltage control are presented. Simulation and experiment results are presented and analyzed to validate the effectiveness of the proposed active gate driving method.
|
1,089 |
Please write an abstract with title: Physical failure analysis deprocessing and cross-section techniques for Cu/low-k technology, and key words: Failure analysis, Copper, Chemical technology, Integrated circuit interconnections, Wet etching, Dielectric materials, Delay, Slurries, Ion beams, High K dielectric materials. Abstract: In this paper, physical failure analysis (FA) techniques including interconnect level and gate level deprocessing techniques and cross section analysis that have been developed will be discussed. Deprocessing techniques discussed include: wet chemical etching, reactive ion etching (RIE), parallel polishing, chemical mechanical polishing (CMP), and combinations of these techniques. Moreover, the detailed characterization of CMP process and gate level deprocessing will be presented. For the cross-section analysis of copper/low-k samples, focused ion beam (FIB) and mechanical polishing techniques will be discussed. FA challenges and new failure modes and reliability issues will also be addressed.
|
1,090 |
Please write an abstract with title: Skill acquisition from human demonstration using FCM clustering of qualitative contact states, and key words: Humans, Robot programming, Robotics and automation, Robot control, Robot sensing systems, Merging, Robot vision systems, Education, Uncertainty, Service robots. Abstract: The reliance on precision positioning of current robots creates problems in both controlling and programming. The motivation behind this work is to transfer force-based skills to robots and to realize programming by demonstration for tasks in contact states. For this purpose, we model the skill as qualitative contact states and desired transitions between them. Element Contact Formation (ECF) is proposed to describe contact state. For different ECF has different force clustering, the modified FCM clustering is used for automatic classification of ECF in demonstration based forces information. Then from demonstration data the sequence of contact states and desired distances and velocities for transitions are obtained. The ECF identifier can be built with the similar degree between the force information and clustering. The skill acquisition module is implemented in robot controller with open architecture. Petri net is used for merging different sequences and simplifying the skill.
|
1,091 |
Please write an abstract with title: Fingerprinting Concepts in Data Streams with Supervised and Unsupervised Meta-Information, and key words: Adaptation models, Conferences, Fingerprint recognition, Data engineering, Real-time systems, Testing. Abstract: Streaming sources of data are becoming more common as the ability to collect data in real-time grows. A major concern in dealing with data streams is concept drift, a change in the distribution of data over time, for example, due to changes in environmental conditions. Representing concepts (stationary periods featuring similar behaviour) is a key idea in adapting to concept drift. By testing the similarity of a concept representation to a window of observations, we can detect concept drift to a new or previously seen recurring concept. Concept representations are constructed using meta-information features, values describing aspects of concept behaviour. We find that previously proposed concept representations rely on small numbers of meta-information features. These representations often cannot distinguish concepts, leaving systems vulnerable to concept drift. We propose FiCSUM, a general framework to represent both supervised and unsupervised behaviours of a concept in a fingerprint, a vector of many distinct meta-information features able to uniquely identify more concepts. Our dynamic weighting strategy learns which meta-information features describe concept drift in a given dataset, allowing a diverse set of meta-information features to be used at once. FiCSUM outperforms state-of-the-art methods over a range of 11 real world and synthetic datasets in both accuracy and modeling underlying concept drift.
|
1,092 |
Please write an abstract with title: Automatic Monitoring and Control System in Aeroponic Plant Agriculture, and key words: Temperature sensors, Sensors, Humidity, Temperature measurement, Control systems, Temperature control, Monitoring. Abstract: This paper describes the implementation of an automatic control system for aeroponics. This system contains a lattepanda as the main processing unit and an adjustable interface to suit the needs of the cultivated plant. It gets input from temperature sensors, light sensors and humidity sensors and displays the output on the LCD screen module. The system results are simulated with the help of simulation software. And then the evaluation of the experimental results of the control system applied to aeroponics is based on environmental factors. The proposed lecture grows on an aeroponic device. The green plant was chosen to build an automatic control system in aeroponics. The results show that the system can be more efficient in saving labour and increasing the economic value of the product.
|
1,093 |
Please write an abstract with title: MapGen-GAN: A Fast Translator for Remote Sensing Image to Map Via Unsupervised Adversarial Learning, and key words: Remote sensing, Generative adversarial networks, Deep learning, Task analysis, Training, Internet, Semantics. Abstract: Map is an essential medium for people to understand our changing planet. Recently, research on generating and updating maps through remote sensing images has been an important and challenging task in geographic information. Traditional methods for map generation are time-consuming and labor-intensive. Besides, most supervised learning methods for map generation lack labeled training samples. It is challenging to generate maps quickly and efficiently for emergency rescue operations such as earthquakes, fire disasters, or tsunami. In this article, we propose an unsupervised domain mapping model based on adversarial learning called MapGen-GAN. MapGen-GAN is a generative adversarial network (GAN) that can do end-to-end translation from remote sensing images to general map quickly, and trained with no human annotation data. In order to improve the fidelity and the geometry precision of generated maps, we employ circularity-consistency and geometrical-consistency constraints as a part of the loss function of the proposed model. And then, an improved residual block Unet is designed and adopted as the generator of MapGen-GAN to capture the geographic structure information of buildings, roads, and topography outlines under different resolutions in the map generation. By applying the proposed model to two distinct datasets, experiments demonstrate that our model can generate maps efficiently and quickly and outperform the state-of-the-art approaches.
|
1,094 |
Please write an abstract with title: Design and Performance Benchmarking of Dual Gate Flexible Bilayer Graphene FETs, and key words: Resistance, Performance evaluation, Photonic band gap, Graphene, Voltage, Logic gates, Mathematical models. Abstract: It has reached a period when the search beyond silicon for utilizing it in a transistor has increased genuine significance. Graphene is described as a crystalline allotrope of carbon with two-dimensional properties arranged in the hexagonal lattice form. It’s one of the uses in designing field-effect transistors (FET) such as graphene field-effect transistors. It is explored for the future of flexible electronics devices applications due to the promising graphene attributes. There is some parameter that decides the performance such as speed, uniformity, and reliability of the GFET. One can use graphene field-effect transistors (GFET) to design analog and digital applications for future technology nodes. In this paper, we present a mathematical model of flexible bilayer dual-gated graphene FETs and implement it in a Verilog–A.
|
1,095 |
Please write an abstract with title: A Tri-Band Circularly Polarized Patch Antenna for WiFi Applications in S- and C-band, and key words: Polarization, Patch antennas, Meetings, Wireless fidelity, Gain. Abstract: We propose a circular polarized disc patch antenna for tri-band operation. The design is based on the combination of two mechanisms: modal degeneration applied to a circular patch, and gap-coupling with parasitic elements, resulting in a first mode of operation at 2.42 GHz and two additional mode at 5.00GHz and 5.30GHz. The frequencies of operations as well as the circular polarization attained makes the proposed device suitable for WiFi application in both S-band and C-band.
|
1,096 |
Please write an abstract with title: Multi-robot Collision Avoidance : improved on Voronoi-based method, and key words: Location awareness, Seminars, Uncertainty, Robot kinematics, Collaboration, System recovery, Multi-robot systems. Abstract: This paper introduces the study of multi-robot coordinated collision avoidance and task collaboration in a multi-robot system considering the localization uncertainty. Use MATLAB simulation and use the Voronoi-based method to change the uncertainty of the robot’s position in a specific working environment and compare the performance of the robot and the effect of avoiding collisions. An effective solution is also considered for the deadlock problem in motion planning. It is feasible and secure to use the Voronoi-based method to avoid collisions and complete tasks under the localization uncertainty.
|
1,097 |
Please write an abstract with title: Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction, and key words: Acoustics, Hospitals, Employment, Predictive models, Wearable computers, Psychology, Machine learning. Abstract: Identification of the acoustic environment from an audio recording, also known as acoustic scene classification, is an active area of research. In this paper, we study dynamically-changing background acoustic scenes from the egocentric perspective of an individual in a workplace. In a novel data collection setup, wearable sensors were deployed on individuals to collect audio signals within a built environment, while Bluetooth-based hubs continuously tracked the individual's location which represents the acoustic scene at a certain time. The data of this paper come from 170 hospital workers gathered continuously during work shifts for a 10 week period. In the first part of our study, we investigate temporal patterns in the egocentric sequence of acoustic scenes encountered by an employee, and the association of those patterns with factors such as job-role and daily routine of the individual. Motivated by evidence of multifaceted effects of ambient sounds on human psychology, we also analyze the association of the temporal dynamics of the perceived acoustic scenes with particular behavioral traits of the individual. Experiments reveal rich temporal patterns in the acoustic scenes experienced by the individuals during their work shifts, and a strong association of those patterns with various constructs related to job-roles and behavior of the employees. In the second part of our study, we employ deep learning models to predict the temporal sequence of acoustic scenes from the egocentric audio signal. We propose a two-stage framework where a recurrent neural network is trained on top of the latent acoustic representations learned by a segment-level neural network. The experimental results show the efficacy of the proposed system in predicting sequence of acoustic scenes, highlighting the existence of underlying temporal patterns in the acoustic scenes experienced in workplace.
|
1,098 |
Please write an abstract with title: INA designed multivariable controller for induction motor speed control, and key words: Induction motors, Mathematical model, Voltage control, Atmospheric modeling, Rotors, Transient analysis, Transfer functions. Abstract: This paper describes an investigation into the use of a modern multivariable controller design technique which improves the performance of a voltage-source-fed induction motor. It presents the induction motor nonlinear mathematical model from which a linearized model is deduced. The Inverse Nyquist Array controller design method is then applied to the linearized model to generate a control scheme which uses airgap flux and motor speed as outputs and source voltage and frequency as inputs. The scheme is then implemented software-wise on the nonlinear simulation model in order to assess its dynamic performance. Results from these simulations demonstrate that the motor's transient performance can be considerably improved by using a multivariable controller.
|
1,099 |
Please write an abstract with title: Clustering-based blind maximum likelihood sequence detection for GSM and TDMA systems, and key words: Maximum likelihood detection, GSM, Time division multiple access, Maximum likelihood estimation, Detectors, Clustering algorithms, Partitioning algorithms, Hidden Markov models, Baseband, Boosting. Abstract: A novel blind maximum likelihood sequence detector (MLSD) for GSM and TDMA based systems is proposed. The baseband data at the receiver are partitioned into clusters that are identified using a new class of unsupervised clustering algorithms known as K-Harmonic Means (KHM/sub p/). The KHM/sub p/ algorithms arc insensitive to the initialization of the cluster centers owing to a built-in boosting function, and thus provide reliable estimates of the cluster centers. The identified cluster representatives are then mapped to the corresponding combinations of input symbols using a discrete hidden Markov model formulation of the channel states and the mapping is used to compute the branch metrics in a cluster-based MLSD to perform signal detection. The proposed detector avoids any explicit channel modeling and training overhead and its performance is evaluated for the GSM systems.
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.