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Please write an abstract with title: Partial Discharge Classification from Highly Noise-contaminated Data Using Cascaded Two Neural Networks, and key words: Partial discharges, Noise reduction, Sensor phenomena and characterization, Pollution measurement, Reliability, Tuning, Signal to noise ratio. Abstract: Partial discharge (PD) classification is a crucial tool for assessing the reliability of insulation systems in high- voltage electric power equipment, and many denoising techniques such as the wavelet shrinkage method have been developed for dealing with external noise contamination in the preprocessing step of PD classification. However, conventional denoising methods require burdensome manual parameter tuning because the PD characteristics depend on the measurement conditions. In addition, previous studies have focused on signals with relatively high signal-to-noise ratios (SNR) obtained by intrusive sensors such as ultrahigh- frequency sensors, so those methods cannot be naïvely applied to low SNR signals obtained by nonintrusive sensors such as transient earth voltage sensors. Here we propose novel cascaded two neural networks for estimating PD type via reconstruction of noise reduced PD feature from highly noise-contaminated signals without manual parameter tuning. Experimental results show that the proposed method achieved higher classification accuracy than conventional methods, including neural network- based method, even for highly noise-contaminated signals.
|
801 |
Please write an abstract with title: The Exploration of the Teaching Effects of Behavioral Finance Course Based on the PAD Platform, and key words: Information science, Education, Finance, Atmosphere, Internet, Information technology. Abstract: With the advent of the Internet era, the innovative teaching mode of presentation-assimilation-discussion (PAD) classroom has also experienced great development. Also, the use of the PAD platform, such as Duifenyi, provides new ideas, new methods as well as new functions for traditional teaching. This paper takes the course of Behavioral Finance as an example to carry out the teaching design of the PAD mode with the help of the online platform. This paper empirically tests the teaching effects of PAD mode based on the comparison of the control class and the experimental class, which proves that PAD classroom can effectively improve students’ understanding level and academic performance. This finding provides valuable experience for the other financial courses teaching.
|
802 |
Please write an abstract with title: Support-electrode torque on a spherical superconducting gyroscope, and key words: Torque, Gyroscopes, Electrodes, Integral equations, Superconductivity, Extraterrestrial measurements, Magnetic field measurement, Magnetic levitation, Voltage, Magnetic fields. Abstract: In a proposed satellite experiment, a spherical superconducting gyroscope is to be levitated by servo-controlled voltages applied to superconducting electrodes. Gyroscope readout will utilize the magnetic field that is generated by a rotating superconductor. However exclusion of this field from the electrodes via the Meissner effect will produce a torque on the gyroscope. That torque is calculated in this paper.
|
803 |
Please write an abstract with title: Disturbance Observer Based Controller Under Noisy Measurement for Tracking of nDOF Uncertain Mismatched Nonlinear Interconnected Systems, and key words: Noise measurement, Uncertainty, IEEE transactions, Mechatronics, Sliding mode control, Observers. Abstract: This article analyzes a recent result on tracking control of nonlinear, mismatched interconnected systems and points out its drawback with regard to noise amplification that originates from numerical differentiation of tracking error. One of the objectives of the article is to propose two remedial measures and show their improvements by analysis for performance and stability. In the first remedy, the derivative of the tracking error is obtained without recourse to numerical differentiation while the second remedy offers a solution that does not need the derivative of the tracking error. Another objective of the article is to propose an extension to decentralized sliding mode control of interconnected systems. Unlike other published results, the extension can assure local sliding in each subsystem. The proposed remedies are validated by numerical simulation, and experimentation on a laboratory coupled tank system. A discussion with a generalized extended state observer based method and comparative simulations with other well-known methods are carried out.
|
804 |
Please write an abstract with title: Novel Spatial Modulation Channel Index Detection in Optical Wireless Communications with Signal Space Diversity, and key words: Indexes, Modulation, Optical transmitters, Maximum likelihood estimation, Channel estimation, Wireless communication. Abstract: A novel spatial modulation channel index detection algorithm using a joint maximum-a-posteriori estimation is proposed for optical wireless communications with 4-CAP modulation and transmitter diversity. Diversity gain, enabling improvement of about 0.4dB in SNR and 1.5-times in data rate, is achieved with reduced computation complexity.
|
805 |
Please write an abstract with title: Identification of nonlinear systems using two-layer DBF neural networks, and key words: Nonlinear systems, Neural networks, Neurons, Nonlinear equations, Differential equations, Intelligent networks, Educational institutions, State estimation, Computer errors, Pattern recognition. Abstract: Nonlinear system identification using direction basis function neural networks is presented. The state estimation error is proven to converge to zero asymptotically. Parameters of the identifier converge to the ideal parameters provided by that persistency of excitation condition is fulfilled. Its identification structure is analyzed.
|
806 |
Please write an abstract with title: Learning a nonlinear channelized observer for image quality assessment, and key words: Image quality, Humans, Telephony, Machine learning algorithms, Machine learning, Predictive models, Lesions, Support vector machines, Neural networks, Degradation. Abstract: We propose two algorithms for task-based image quality assessment based on machine learning. The channelized Hotelling observer (CHO) is a well-known numerical observer, which is used as a surrogate for human observers in assessments of lesion detectability. We explore the possibility of replacing the linear CHO with nonlinear algorithms that learn the relationship between measured image features and lesion detectability obtained from human observer studies. Our results suggest that both support vector machines and neural networks can offer improved performance over the CHO in predicting the human-observer performance.
|
807 |
Please write an abstract with title: Implementing grayscale morphological operators with a compact ranked order extractor circuit, and key words: Gray-scale, Circuits, Morphology, Image reconstruction, Filters, Image processing, Hardware, Cellular neural networks, Morphological operations, Data mining. Abstract: Mathematical morphology provides tools for many image processing tasks. In this paper we discuss the implementation of grayscale morphological operators of erosion, dilation and reconstruction with a hardware efficient ranked order filter circuit. By using dedicated hardware for these basic operations a higher performance of processing more complex functions in a massively parallel processor array can be achieved. Because the circuit realization of the ranked order filter used is very compact, the area required for one processing cell can be kept low. Simulations of the operation were performed with a 0.18 /spl mu/m digital CMOS technology.
|
808 |
Please write an abstract with title: Design of an Ultra-Low Spread Magnetic Cusp Gun Based on the Compensation Principle, and key words: Geometry, Electrodes, Microwave technology, Microwave integrated circuits, Surface waves, Shape, Millimeter wave technology. Abstract: In this paper, a design of a magnetic cusp gun with ultra-low velocity spread is proposed. Based on the Lagrange mechanics, the spread in the generalized angular momentum and the spread in guiding center radius can compensate each other for low velocity spread.
|
809 |
Please write an abstract with title: Educational Robotics Intervention in the Motivation of Students, and key words: Robots, STEM, Autism, Programming profession, Position measurement, Systematics, Mobile robots. Abstract: Nowadays technological developments have been used as educational mediations. An example has been working in the classroom with robots for STEM (Science, Technology, Engineering and Mathematics), however it is important to determine the effects of robots in the classroom, mainly on motivation issues. This article shows a review of related works in educational robotics and their effects, in the same way a methodology is proposed to work in the classroom with effects on student motivation.
|
810 |
Please write an abstract with title: Dictionary of Computer Terms in LSA With Operational Signs Proposed by and for Hearing-Impaired Students, and key words: Dictionaries, Auditory system, Assistive technologies, Education, Gesture recognition, Vocabulary, Linguistics, Collaborative work. Abstract: This article presents a collaborative project related to the creation of a dictionary with technical Computer Science terms, created by and for students with hearing disabilities. The dictionary is bilingual and includes operational signs in Argentinian Sign Language (LSA) and Spanish. The project was carried out as part of a course in the Systems Analysis Technique degree program, and a methodology designed for inclusive education was applied, allowing both hearing and hearing impaired students to comply with the regular planning of the subject. Teachers, professional interpreters and members of the hearing impaired community also participated. As part of this work, a literature review was also carried out, which shows the still unmet need for a dictionary that includes technical terms. This review also provides information on formats and types of dictionaries currently available, which were considered in the creation of the dictionary proposed in this work. An evaluation was also carried out with the participating students through a survey. The results demonstrated the effectiveness of the work done, in terms of the integration of the students, the value they have given to the project and the use of the dictionary in the institution’s courses.
|
811 |
Please write an abstract with title: Method for Analyzing the Corrective Ability of Residue Number System, and key words: Scalability, Redundancy, Memory, Data visualization, Parallel processing, Error correction codes, Reliability. Abstract: Residue Number System (RNS) is a non-positional number system that allows the construction of error-correcting codes. Features such as parallel processing capability and scalability are significant advantages of RNS. The redundancy of the RNS code allows the creation of error correction codes, affects their properties and can be selected for specific tasks. This paper describes a method for analyzing the distribution of errors over the entire range of the RNS. This method can improve the design of specific data storage and processing systems, since it allows determining the corrective properties of the used RNS.
|
812 |
Please write an abstract with title: Target Recognition and Detection in Side-Scan Sonar Images based on YOLO v3 Model, and key words: Image recognition, Target recognition, Sonar, Object detection, Reconnaissance, Predictive models, Feature extraction. Abstract: In recent years, the target recognition of sonar images is an important link in the realization of underwater target search, path planning, hostile target reconnaissance, seabed rescue, seabed texture survey, etc. Therefore, improving the accuracy of target detection on sonar images is very important for underwater detection. The paper studies the problems of low accuracy, low efficiency, and low missed detection rate in sonar image target detection. Deep learning is applied to sonar image recognition in this paper. The convolutional neural network and You Only Look Once version 3(YOLO v3) model are used to perform one-time neural network processing on side-scan sonar images. The Darknet53 network is used as the backbone extraction network, and the bounding box is used at the same time. For the low-credibility bounding box, multiple high-credibility maximum bounding boxes are selected to improve the success rate of image feature extraction. It is proved by simulation that the YOLO v3 model can effectively identify targets from side-scan sonar images.
|
813 |
Please write an abstract with title: Pull systems with advance demand information, and key words: Supply chains, Analytical models, Collaboration, Customer service, Production systems, Inventory control, Particle measurements, Costs, Robustness, Information technology. Abstract: This paper investigates the benefits of integrating advance demand information (ADI) with pull-kanban type production and inventory control systems (PICS). Since efficient analytical models for performance evaluation studies of these systems are unavailable, we use simulation experiments for the study. In particular, we investigate the impact of several PICS design parameters such as kanban card limits, target finished goods inventory levels, amount of demand information available, and the quality of ADI on performance measures such as system throughput, inventory holding costs and customer service levels. Our study shows that in many situations, integrating ADI with pull systems provides opportunities for efficiencies that might be significantly greater that that available using pull systems alone. Further more, we show that the performance of systems operating under pull-type PICS with ADI could be fairly robust to the quality of information being shared.
|
814 |
Please write an abstract with title: PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models, and key words: Image resolution, Face, Training, Task analysis, Manifolds, Measurement, Gallium nitride. Abstract: The primary aim of single-image super-resolution is to construct a high-resolution (HR) image from a corresponding low-resolution (LR) input. In previous approaches, which have generally been supervised, the training objective typically measures a pixel-wise average distance between the super-resolved (SR) and HR images. Optimizing such metrics often leads to blurring, especially in high variance (detailed) regions. We propose an alternative formulation of the super-resolution problem based on creating realistic SR images that downscale correctly. We present a novel super-resolution algorithm addressing this problem, PULSE (Photo Upsampling via Latent Space Exploration), which generates high-resolution, realistic images at resolutions previously unseen in the literature. It accomplishes this in an entirely self-supervised fashion and is not confined to a specific degradation operator used during training, unlike previous methods (which require training on databases of LR-HR image pairs for supervised learning). Instead of starting with the LR image and slowly adding detail, PULSE traverses the high-resolution natural image manifold, searching for images that downscale to the original LR image. This is formalized through the “downscaling loss,” which guides exploration through the latent space of a generative model. By leveraging properties of high-dimensional Gaussians, we restrict the search space to guarantee that our outputs are realistic. PULSE thereby generates super-resolved images that both are realistic and downscale correctly. We show extensive experimental results demonstrating the efficacy of our approach in the domain of face super-resolution (also known as face hallucination). Our method outperforms state-of-the-art methods in perceptual quality at higher resolutions and scale factors than previously possible.
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815 |
Please write an abstract with title: Research and Implementation of Intelligent Financial Audit System Based on Deep Learning, and key words: Deep learning, Analytical models, Semantics, Knowledge based systems, Clustering algorithms, Excavation, Data models. Abstract: With the increasing popularity of computer technology and network technology, database technology has been widely used in all walks of life. The intellectualization of audit work takes big data and artificial intelligence as the foundation and core, and adopts the form of audit template to fix the data acquisition technology, data sorting technology, data analysis technology, data mining technology and audit judgment technology with strong universality and high maturity, so as to form an audit software with audit template as the core. Traditional audit methods are difficult to find all kinds of financial problems hidden in massive data. According to the requirements of audit informatization and intelligent improvement, an intelligent audit framework is designed and a financial audit platform is developed based on data mining technology and deep learning algorithm. This paper expounds how to apply the innovative in-depth learning method to the audit process to solve the key problems in the project audit process, such as data collection and sorting, multi-source heterogeneous data feature extraction, project anomaly identification and project anomaly analysis. Based on the interdisciplinary thinking and the comprehensive use of data mining technology, fault diagnosis theory based on expert knowledge and financial audit theory, this paper develops an intelligent financial audit system which can deal with a variety of data types and automatically find audit clues.
|
816 |
Please write an abstract with title: Highly-nonlinear bismuth oxide-based glass fibers for all-optical signal processing, and key words: Bismuth, Signal processing, Optical signal processing, Glass, Fiber nonlinear optics, Optical mixing, Optical pumping, Optical fiber dispersion, Four-wave mixing, Optical refraction. Abstract: We have developed a highly nonlinear fiber made of the Bi/sub 2/O/sub 3/-based glass. From four-wave mixing measurements, the nonlinear coefficient is estimated to be /spl gamma/ = 64.2 W/sup -1/ km/sup -1/. The propagation loss is less than 0.8 dB/m, and it can be fusion-spliced to SiO/sub 2/ fibers. These characteristics are very attractive for applications of the Bi-fiber to all-optical signal processing devices.
|
817 |
Please write an abstract with title: 120-Gunn Diode Power Combining at 23 GHz, and key words: Diodes, Couplers, Injection-locked oscillators, Frequency, Gunn devices, Power generation, K-band, Loaded waveguides, Tuning, Gallium arsenide. Abstract: Powers from a total of up to 120 Gunn diodes were combined at 23 GHz by combining three or five or seven 12- or 24-device Kurokawa oscillators through short-slot couplers in conjunction with high-level injection locking. Overall power-combining efficiencies were 76-91 percent.
|
818 |
Please write an abstract with title: Dynamic Local Community Detection Algorithms, and key words: Social networking (online), Heuristic algorithms, Detection algorithms. Abstract: Recent years have witnessed the rapid growth of social network services. Real-world social networks are huge and changing over time. Consequently, the problems in this area have become more complex. Community detection is one of the most important problems in social networks. A good community can be defined as a group of nodes that are highly connected to each other and loosely connected to the nodes outside the community. Regarding the fact that social networks are huge in size, having complete information of the whole network is almost impossible. As a result, the problem of local community detection has become more popular in recent years. The problem of community detection in dynamic networks is well-investigated however, the local community detection is not widely addressed by researchers. In this paper, this problem is investigated by employing a number of existing local community detection algorithms in a dynamic structure. Results are reported in two different experiments. Experimental results show that one of the algorithms (algorithm P) outperforms other algorithms regarding the employed dynamic structure. The results indicate that algorithm P is much faster than other local community detection algorithms in dynamic networks.
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819 |
Please write an abstract with title: Selector Failure Detection for Resistive Random Access Memories, and key words: Resistive RAM, Interference, Arrays, Reliability, Logic arrays, Information theory. Abstract: The sneak path (SP) interference problem in resistive random access memory (ReRAM) severely affects the data storage reliability. Recent works showed that the occurrence of the SP is highly related to the selector failures (SFs) in the resistive memory arrays. In this work, we propose a novel scheme to detect the location of the failed selector, based on the signal read back from the memory array. The detected SF location information can be used to assist the data detection to mitigate the SP interference or to construct SP-free constrained codes.
|
820 |
Please write an abstract with title: Direct virtual viewpoint synthesis from multiple viewpoints, and key words: Layout, Cameras, Machine vision, Laboratories, Interpolation, TV, Surveillance, Calibration, Computational geometry, Computer vision. Abstract: This paper presents a novel approach for synthesizing intermediate or virtual viewpoints (VVs) of a 3D scene based on information from a number of known reference viewpoints (RVs). The proposed approach directly estimates the pixel value (and corresponding depth) for each pixel in the VV. This is contrast to the more traditional 2 stage approach of firstly building a full 3D or 2.5D model for the scene and then synthesising the desired VV. The potential advantage of this approach is that it works directly with the target virtual view and is hopefully less susceptible to the propagation of errors from the depth estimation stage to the interpolation stage.
|
821 |
Please write an abstract with title: Visualizing abstract data on maps, and key words: Data visualization, Focusing, Joining processes, Labeling, Displays, Data mining, Satellites, Image sensors, Medical services, Statistics. Abstract: The effective visual exploration of large and complexly structured, abstract data requires sophisticated and interactive visualization techniques. Development of these techniques is the major discipline in information visualization. On the other hand, visualization of geospatial data is an important topic in cartography. The necessity to combine expertise from both fields has long been commonly recognized. In this paper, some considerations on the combination of arbitrary multivariate data visualizations, focus & context interaction techniques and thematic map displays are discussed that will allow the efficient combination of established techniques from both information visualization and cartography.
|
822 |
Please write an abstract with title: Microfluidics-Based Biochips: Technology Issues, Implementation Platforms, and Design-Automation Challenges, and key words: Microfluidics, System testing, Clinical diagnosis, DNA, Laboratories, Cells (biology), Etching, Microchannel, Micropumps, Microvalves. Abstract: Microfluidics-based biochips are soon expected to revolutionize clinical diagnosis, deoxyribonucleic acid (DNA) sequencing, and other laboratory procedures involving molecular biology. In contrast to continuous-flow systems that rely on permanently etched microchannels, micropumps, and microvalves, digital microfluidics offers a scalable system architecture and dynamic reconfigurability; groups of unit cells in a microfluidics array can be reconfigured to change their functionality during the concurrent execution of a set of bioassays. As more bioassays are executed concurrently on a biochip, system integration and design complexity are expected to increase dramatically. This paper presents an overview of an integrated system-level design methodology that attempts to address key issues in the synthesis, testing and reconfiguration of digital microfluidics-based biochips. Different actuation mechanisms for microfluidics-based biochips, and associated design-automation trends and challenges are also discussed. The proposed top-down design-automation approach is expected to relieve biochip users from the burden of manual optimization of bioassays, time-consuming hardware design, and costly testing and maintenance procedures, and it will facilitate the integration of fluidic components with a microelectronic component in next-generation systems-on-chips (SOCs).
|
823 |
Please write an abstract with title: Estimation of Sinusoidal Frequency-Modulated Signal Parameters by Two Branches and Two Stages, and key words: Estimation, Frequency modulation, Frequency estimation, Signal processing algorithms, Computational complexity, Approximation algorithms. Abstract: Sinusoidal frequency-modulated (SFM) signal is widely applied in radar, and wireless communication. Therefore, there is significant importance in studying the estimation of SFM signal parameters. However, traditional estimation algorithms have high computational complexity while the corresponding estimation performance degrades when either modulation index or modulation frequency of SFM signals increases. To address these problems of computational complexity as well as the performance degradation, a two-branch two-stage estimation algorithm is proposed in this paper. In the first stage, received signals are passed through two different branches: one for the modulation index not greater than π/2, and the other for that larger than π/2. This two-branch strategy is derived from the spectrum properties of SFM signals with respect to modulation index, where the first branch utilizes the Jacobi-Anger expansion, and the second one employs an iterative estimation algorithm. In the second stage, precisions of the parameter estimates obtained from the two branches are compared, and the estimates with higher precision correspond to the final estimates of SFM signal parameters. Both theoretical analysis, and numerical results show that the proposed algorithm outperforms the current state-of-the-art algorithms, while yielding significantly lower computational complexities.
|
824 |
Please write an abstract with title: The use of silver conductive paint for crack propagation sensor customization, and key words: Silver, Shape, Shape measurement, Bridge circuits, Sensor phenomena and characterization, Conductivity measurement, Fatigue. Abstract: The paper presents experimental verification of customized resistive crack propagation sensors as an alternative for common SHM techniques. To manufacture new sensors, electrically conductive paint with silver microparticles is utilized to prepare tailored measuring grid on epoxy or polyurethane coating as a driving/insulating layer. That method is designed to enhance functionality and usability compared to commercially available crack gauges. By using paint with conductive metal particles, the shape of sensor measuring grid can be more easily adapted to the structure, while in the previous approach only few grid-fixed sensors are available. Fatigue tests on coupon CT specimen as well as thin aluminum plate are presented and discussed to evaluate the ability of the developed sensors to detect and monitor fatigue cracks. Two types of data acquisition system with various sensing layer interconnection is proposed, in which a series of conductive stands are connected to Wheatstone bridge or become a part of RLC band pass filter.
|
825 |
Please write an abstract with title: A Simplified Worldwide Ionospheric Model for Satellite Navigation, and key words: Delays, Satellite broadcasting, Global navigation satellite system, Ionosphere, Global Positioning System, Analytical models, Mathematical model. Abstract: Ionospheric delay is one of the main sources of error in satellite positioning and navigation. Ionospheric broadcast parameters are required to correct for the ionospheric delay, especially in the case of massive single-frequency users. The well-known Klobuchar model has been providing the ionospheric delay corrections for GPS users during the last several decades. For Galileo users, a three-dimensional electron density model (NeQuick G) based on the NeQuick climatological model is used to correct for ionospheric delay. The recently completed Chinese BeiDou Satellite Navigation System (BDS) broadcasts two types of ionospheric models coefficients on different signals. In this article, we propose a simplified worldwide ionospheric model (SWIM) for satellite positioning. By comparison, our SWIM model has better performance than the Klobuchar model in terms of accuracy at both low and high solar activity, and is comparable to the NeQuick G and BDS ionospheric models. At the same time, the SWIM model has high efficiency because of the simple calculation process. It has great potential for ionospheric delay corrections in satellite navigation and positioning.
|
826 |
Please write an abstract with title: Thermodynamic properties and plasma phase transition in dense hydrogen mixtures, and key words: Plasma properties, Thermodynamics, Plasma density, Hydrogen, Plasma temperature, Integral equations, Free electron lasers, Laser transitions, Plasma simulation, Ion beams. Abstract: Summary form only given. The internal energy and equation of state of dense hydrogen and hydrogen-helium mixture are investigated by direct path integral Monte Carlo method which are further improved in comparison to our previous results. Data for four isotherms T=10,000 K, 30,000 K, 50,000 K and 100,000 K are presented. For T=10,000 K it is shown that the internal energy is lowered due to droplet formation for densities of the order 10/sup -23/ cm giving direct support for the existence of a plasma phase transition in megabar hydrogen. The thermodynamic properties of warm dense matter, such a hydrogen and hydrogen mixture at megabar pressure, are essential for the description of plasmas generated by strong lasers, ion beams or free electron lasers. Among the phenomena of particular current interest are the high-pressure compressibility of deuterium, metalization of hydrogen, Wigner crystallization plasma phase transition etc., which occur in situations where both interaction and quantum effects are relevant and a crossover from a neutral system to full ionization takes place. We use the direct fermionic path integral Monte Carlo simulations to investigate the dense plasmas in a wide range of densities and temperatures.
|
827 |
Please write an abstract with title: Comparison of Pretrained BERT Embedding and NLTK Approach for Easy Data Augmentation in Research Title Document Classification Task, and key words: augmentation, BERT, NLTK, research title, classification. Abstract: Data imbalance has been a problem in classification tasks, be it a binary classification or multiclass classification. Easy data augmentation is an approach to do data augmentation in natural language processing data by substituting term with its synonym, inserting a random synonym, or deletion. This research aims to see the performance of machine learning model if term inserted or changed is using BERT rather than NLTK. This research also proposed the hybrid approach of BERT and NLTK, and proposed sentence selection methods such as whole data and random pick. This research showed that EDA using only BERT gives the best performance for all sentence selection approach. However, several classes still showed reduced performance.
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828 |
Please write an abstract with title: A New Hybrid Predictive Model to Predict the Early Mortality Risk in Intensive Care Units on a Highly Imbalanced Dataset, and key words: Predictive models, Machine learning, Data models, Machine learning algorithms, Prediction algorithms, Medical services, Genetic algorithms. Abstract: Due to the development of biomedical equipment and healthcare level, especially in the Intensive Care Unit (ICU), a considerable amount of data has been collected for analysis. Mortality prediction in the ICUs is considered as one of the most important topics in the healthcare data analysis section. A precise prediction of the mortality risk for patients in ICU could provide us with valuable information about patients' lives and reduce costs at the earliest possible stage. This paper aims to introduce a new hybrid predictive model using the Genetic Algorithm as a feature selection method and a new ensemble classifier based on the combination of Stacking and Boosting ensemble methods to create an early mortality prediction model on a highly imbalanced dataset. The SVM-SMOTE method is used to solve the imbalanced data problem. This paper compares the new model with various machine learning models to validate the efficiency of the introduced model. The achieved results using the shuffle 5-fold cross-validation and random hold-out methods indicate that the new hybrid model has the best performance among other classifiers. Additionally, the Friedman test is applied as a statistical significance test to examine the differences between classifiers. The results of the statistical analysis prove that the proposed model is more effective than other classifiers. Furthermore, the proposed model is compared to APACHE and SAPS scoring systems and is benchmarked against state-of-the-art predictive models applied to the MIMIC dataset for experimental validation and achieved promising results as it outperformed the state-of-the-art models.
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829 |
Please write an abstract with title: Study of Resonant Modes of Cubesat Nanosatellite Motion under the Influence of the Aerodynamic Moment, and key words: Resonant frequency, Aerodynamics, Shape, Angular velocity, Oscillators, CubeSat. Abstract: This paper considers the space motion relative to the center of mass of a CubeSat nanosatellite on a low circular orbit under the aerodynamic moment. The possibility of resonant modes of motion due to their inherent form factor of a rectangular parallelepiped and the presence of a small mass asymmetry (a transverse displacement of the center of mass from the axis of symmetry) is analyzed. We obtained the formulas for determining the critical value of the longitudinal angular velocity of a nanosatellite, at which the conditions for the appearance of resonances are satisfied. It is also shown the possibility of a roll resonance when the nanosatellite faces the incoming stream with one side edge and the average angular velocity of its own rotation is close to zero.
|
830 |
Please write an abstract with title: Text Preprocessing Impact for Sentiment Classification in Product Review, and key words: Support vector machines, Feature extraction, Real-time systems, Electronic commerce, Decision trees. Abstract: In the Covid-19 pandemic situation, the e-commerce platform has significant data of product reviews in real-time. Businesses need rating and review systems to immediately expose their consumers' feelings about their products and services and use every volume of data to strengthen their competitive strategies. Amazon is one platform that can provide a vast quantity of product review data. Unfortunately, data from product reviews are typically unstructured and unmanageable. Therefore, this experimental study observed text preprocessing impact to process unstructured product review data using sentiment classifier Decision Tree, Naïve Bayes, and Support Vector Machine (SVM) with better accuracy. The SVM performed higher evaluation model performance, with an accuracy of 88,13%, but the Naïve Bayes classifier has minimum execution time. Furthermore, the experimental result using our approach TF-IDF for feature extraction may significantly improve classification accuracy. As a result, our approach reveals that a good text preprocessing sequence is critical to the classifier's prediction performance for unstructured product review data.
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831 |
Please write an abstract with title: Joint Frequency Domain Channel Estimation and Equalization Based on Expectation Propagation for Single Carrier Transmissions, and key words: Frequency-domain analysis, Message passing, Channel estimation, Receivers, Signal processing, Probability density function, Speech processing. Abstract: In this paper, a novel category of expectation propagation (EP) based frequency domain (FD) semi-blind receivers are proposed for single-carrier block transmissions. A recently proposed EP-based framework for deriving double-loop turbo detectors is extended to handle joint data-aided channel estimation along with EP-based soft interference cancellation (IC). When addressing this problem in a message passing framework, an unconventional probability density function prevent us from establishing analytical update functions for estimating data and channel estimates. This is solved with variational inference methods, such as mean-field (MF), expectation maximization (EM) or EP, using a three-loop receiver structure with flexible performance-complexity trade-off, thanks to fast Fourier transform (FFT) based processing.
|
832 |
Please write an abstract with title: Characterization of optical transitions for some new laser materials, and key words: Laser transitions, Optical materials, Crystals, Chromium, Crystalline materials, Impurities, Lattices, Electrons, Neodymium, Luminescence. Abstract: The paper is devoted to investigate some doped oxide crystals: diphosphate M/sup I/Me/sup III/P/sub 2/O/sub 7/ (M = Na, K. Cs; Me = Al, In) crystals doped with Cr/sup 3+/ ions, potassium titanyl orthophosphate KTiOPO/sub 4/ crystals doped with Cr/sup 3+/, Nd/sup 3+/ and Eu/sup 3+/ ions, silicate akermanite Me/sub 2/SiO/sub 4/ (Me = Ca, Mg) crystals doped with Cr/sup 3+/ ions. Possibility of the impurity ions to form at the same crystal lattice various charge states must be taken into account at a design of the complex oxide materials on the contrary to the other simple oxides, f.e. Al/sub 2/O/sub 3/ crystals, where the chromium ions are arranged mainly in the Cr/sup 3+/ charge state. Luminescence spectra of the noted crystals were investigated. The energy schemes of the electron states of the impurity ions in the various crystal matrices are considered taking into account the Tanabe-Sugano diagram and the known schemes of electron levels of rare earth ions. Values of Dq and /spl Delta/E/sub TE/ were calculated for various crystal lattices doped with Cr/sup 3+/ ions. Some spectroscopy parameters were estimated for the most intensive transitions in spectra of the studied materials.
|
833 |
Please write an abstract with title: A Proposed Approach to Indoor Navigation and Store Recommendation, and key words: Navigation, Indoor navigation, Ecosystems, Real-time systems, History, Robots, Recommender systems. Abstract: The internet has led to technological advancements in innumerable aspects of one's life. However, there has not been any change in the traditional ways of shopping in a mall. Shopping malls are a complex ecosystem with numerous shops that are constantly changing, the project, a mall navigator and recommender, aims to simplify the shopping experience. The proposed solution aims to have a store recommender and a navigator that dynamically creates a route of the best stores recommended for you and navigates you to them in the shortest possible way. The research is based on implementing the best recommender system for stores and the fastest and most accurate navigation system that can be used for indoor mapping. The proposed approach aims to solve the problems encountered while shopping in a mall by providing a system that efficiently navigates through the selected stores.
|
834 |
Please write an abstract with title: Analysis on Telemarketing Access System Based on C/S Architecture and Data Mining, and key words: Authorization, Information science, Systematics, Computer architecture, Permission, Robustness, Complexity theory. Abstract: With the rapid development of information science, the smart system is becoming popular. Hence, this paper conducts the analysis on the telemarketing access system based on C/S architecture and data mining. B/S is far inferior to C/S. Taken together, it can be found that all the strengths of the C/S are the weaknesses of B/S, and vice versa. By using this advantage, the analysis on the CMS is considered. After the OSS processing is successfully returned, the CMS triggers the CDN process, and the CDN process first goes to the CMM. The systematic design shows the robustness of the model.
|
835 |
Please write an abstract with title: Comparative analysis of fault detection and classification techniques for HVDC grids protection, and key words: DC FAULTS, HVDC PROTECTION, HVDC GRIDS, MMC-HVDC. Abstract: Dealing with high short-circuit currents with a fast rise rate in Voltage Source Converters (VSCs) still poses as a challenge for High Voltage Direct Current (HVDC) multiterminal system (MTDC) reliability. Several fault detection algorithms have been proposed for multiterminal VSC-HVDC grids, such as undervoltage, overcurrent and their respective time derivatives. This work investigates their performance in terms of speed, sensitivity and correctness concerning classification. Tests were conducted by simulating pole-to-pole and pole-to-ground faults in different locations and fault resistances in a four-terminal VSC-HVDC grid. The results confirmed that voltage-based algorithms performed better than current-based algorithms in most cases. Furthermore, a voltage ratio method is proposed to increase fault classification performance during low-resistance faults.
|
836 |
Please write an abstract with title: An Analytical Approach for the Design of Innovative Hairpin Winding Layouts, and key words: Conductors, Windings, Analytical models, Current density, Layout, Iron, Fill factor (solar cell). Abstract: This work deals with an analytical approach aimed at accurately predicting Joule losses in innovative hairpin winding layouts. While hairpin windings are seeing an everincreasing use in automotive and aerospace applications due to their inherently high slot fill factor, they also present drawbacks such as the non-uniform current distribution potentially occurring across their cross section. This phenomenon is emphasized at high frequencies, leading to a significant increase of the effective conductor resistance and, consequently, of copper losses. Hence, particular attention has to be given to the design of electrical machines employing hairpin conductors, aiming to reduce the high-frequency losses as much as possible. In this paper, an analytical model based on previous investigations is updated and modified in order to increase the degrees of freedom in the design and analysis of hairpin windings. With the developed analytical model, the copper losses associated to innovative hairpin configurations can be accurately predicted. The findings also confirm that such alternative layouts can effectively reduce the Joule losses when compared to traditional hairpin technologies.
|
837 |
Please write an abstract with title: Non-Contact Ultrasonic Exploration of Ancient Paintings, and key words: Vibrations, Performance evaluation, Ultrasonic imaging, Art, Transducers, Temperature, X-rays. Abstract: Artwork are complex structures formed by multiple layers of materials with different properties and thicknesses. They are fragile structures and can be damaged by exposure to temperature, humidity, and vibrations. Techniques such as raking light, x-rays, infrared and UV provide restorers with some information about the condition of the work and its past. The ultrasonic technique, unlike the others, uses elastic waves to provide information about the mechanical characteristics of the materials. In this work we have developed a system that uses focused air-coupled transducers together with continuous motor scanning devices in order to perform experimental tests on several old paintings.
|
838 |
Please write an abstract with title: Negations and dual aggregation functions on arbitrary closed real intervals, and key words: Data models, Convolutional neural networks, Fuzzy systems. Abstract: Aggregation functions have been extensively studied and applied in several practical problems involving some sort of fuzzy modeling, by enacting the fusion process of data from the unit interval. T-norms and t-conorms, as well as overlap and grouping functions, are examples of pairs of aggregation functions that are related through the duality property, which is associated with some definition of fuzzy negation. By constructing pairs of dual aggregation functions and applying them in some practical problem, one can analyze which type of behaviour (conjunctive or disjunctive, for example) of the aggregation operator can benefit the whole system. However, when dealing with applications that do not involve fuzzy modeling, such as classification via convolutional neural networks, the data to be aggregated do not necessarily comes from the unit interval. Recently, a framework for defining classes aggregation functions on an arbitrary closed real interval (namely, (a, b)-aggregation functions) based on core known classes of aggregation functions have been introduced, but the study of negations and duality in this context is yet to be developed. Thus, in this paper we introduce and study the concept of negations defined on a arbitrary closed real intervals, called (a, b)-negations, presenting a construction method for them based core fuzzy negations. From that, we develop the concept of duality between (a, b)-aggregation functions, showing that the duality property is preserved when constructing (a, b)-aggregation functions from dual aggregation functions.
|
839 |
Please write an abstract with title: Novel Synthesis Method for Reconfigurable Filtering Phase Shifter With Frequency-Dependent Coupling Using Optimization Technique, and key words: Couplings, Optimization, Resonant frequency, Phase shifters, Filtering, Resonators, Resonator filters. Abstract: A novel optimization technique is proposed for reconfigurable filtering phase shifter with frequency-dependent coupling in this brief. It incorporates both the coupling matrix entries and the circuit elements into optimization process. With the proposed technique, it can not only obtain desired insertion phase at the center frequency, align the phase slope between different phase states to be same, but also maintain satisfactory return loss in the passband and have multiple transmission zeros in the stopband. The proposed method well suits the reconfiguration application scenario where frequency-dependent coupling is adopted between adjacent resonators. To validate the proposed idea, a microstrip prototype is fabricated and measured. Experimental results show that the operating center frequency can be tuned from 0.6 GHz to 0.71GHz, with a continuously tunable phase shifting range of larger than 175° at each frequency state.
|
840 |
Please write an abstract with title: Machine Vision Based Potato Species Recognition, and key words: Support vector machines, Radio frequency, Machine learning algorithms, Image color analysis, Machine vision, Support vector machine classification, Classification algorithms. Abstract: Potato is one of the tasteful vegetable in the list of our daily delicious food. At present, there are 42000 kind of potatoes available in the world. In Bangladesh, we cultivate 82 species every year. Potatoes are used for other purposes besides eating. So it is produced by thinking of other purposes besides eating. Different varieties of potatoes are used for different purposes. But People usually do not know which variety of potato is suitable for which work. We took this research step to solve this problem. There are currently some conventional common detection methods that are not very convenient. Therefore, we have introduced Machine Vision Recognition (MVR) procedure to discover a suitable technique. As if, through this method people can easily identify the potato species. In this research paper, we want to show how to identify different varieties of potatoes in Bangladesh using machine vision approach. We have been collected total 1200 potato imagers from four fact for our experience. To reach our aim, several machine learning algorithms have been applied to the datasets, like Random Forest Classifier (RF), Linear Discriminant Analysis (LDA), Logistic Regression, Support Vector Machine (SVM), CART, NB, and KNN. Once we have been applied all the algorithms, different results have been shown by each algorithm. Logistic Regression shows the best result, which has an accuracy rate of 98%. In contrast, the lowest rate has been shown by the SVM. The accuracy rate of SVM is 33% which is not only a good fit for future research but also promising.
|
841 |
Please write an abstract with title: Designing an Efficient Image Encryption-Then-Compression System by Using Interweaving Permutation and Blockchain-Watermarking, and key words: Image coding, PSNR, Correlation, Transform coding, Cryptography, Pulse modulation, Information systems. Abstract: In this paper, we design a novel image encryption-then-compression (ETC) system by using interweaving permutation and blockchain-watermarking. Firstly, the original image is uniformly down-sampled by using interweaving permutation to produce a set of down-sampled images. Secondly, we encrypt each down-sampled image by using a same random permutation matrix individually. Since the encrypted down-sampled images preserve the correlation of the down-sampled ones, they are also highly correlated. Thridly, they are fed into the DPCM encoder to generate binary bitstream. Besides, we also use the encrypted image to generate a blockchain-watermarking to protect the integrity of the image. The experiment results show that the compression performance of the proposed method is significantly better than previous image ETC schemes. More notably, the proposed approach achieves even higher peak signal-to-noise ratio (PSNR) values than JPEG for near-lossless image compression case.
|
842 |
Please write an abstract with title: Towards Quality-Driven Approximate Software Generation for Accurate Hardware: Work-in-Progress, and key words: Degradation, Embedded systems, Diversity reception, Software, Hardware, Energy efficiency, Resilience. Abstract: Many existing processor-based systems, especially using off-the-shelf components, cannot afford hardware modifications to embrace different approximate computing techniques proposed by the research community. In that case, it is mainly at the software level where error resiliency can be exploited efficiently. Although a multitude of approximate techniques can be applied at software level, they have been presented in isolation and little has been done to report their combined usage on different types of applications amenable to approximations. We present here AxSWGen, an automated quality-driven methodology to jointly explore and apply multiple approximate techniques to error-tolerant sections of applications. AxSWGen is implemented using LLVM compiler infrastructure. We present results of automated approximate software generated with AxSWGen and executed on a RISC-V processor (SiFive HiFive1 board), achieving up to 50% energy reduction for a 5% image degradation for an approximate Gaussian filter.
|
843 |
Please write an abstract with title: Design for reliability, and key words: Fabrication, Consumer electronics, Process design, Information processing, Information science, Product design, Nanoelectronics, Time to market, Cost function, Profitability. Abstract: This paper explores an important aspect VLSI design: how can the design processes assure that a product is reliable. While reliability is closely related to yield, we will show that it is not sufficient to improve yield to assure high reliability. This is the first stage in exploring the topic and needs further study to reach some practical approach for design for reliability. In this paper we explore a methodology to guide the engineer's design choices toward an optimal implementation of reliable VLSI design.
|
844 |
Please write an abstract with title: Design of Energy Efficient Hybrid Logic Full Adders, and key words: Low voltage, Power demand, Logic gates, CMOS technology, Energy efficiency, Real-time systems, Delays. Abstract: This paper is focused on the design and implementation of energy efficient hybrid logic full adders having low voltage and high performance using 90nm CMOS technology. XOR–XNOR circuits form the basic module in full adders and the performance of XOR-XNOR circuits has a large impact on the area, power and delay of the full adders Hence, new designs of XOR-XNOR circuits that consume less power and provide high speed with full swing outputs are proposed, designed and implemented in 90nm CMOS technology using Cadence tool. These proposed XOR/XNOR circuits along with sum and carry modules are used to design eight different energy efficient hybrid logic full adders. The full adders are also simulated using Cadence tool and their performance parameters are evaluated and compared.
|
845 |
Please write an abstract with title: Deep Stereoscopic Image Super-Resolution via Interaction Module, and key words: Stereo image processing, Image reconstruction, Feature extraction, Correlation, Spatial resolution. Abstract: Deep learning-based methods have achieved remarkable performance in single image super-resolution. However, these methods cannot be effectively applied in stereoscopic image super-resolution without considering the characteristics of stereoscopic images. In this article, an interaction module-based stereoscopic image super-resolution network (IMSSRnet) is proposed to effectively utilize the correlation information in stereoscopic images. The key insight of the network lies with how to explore the complementary information of one view to help the reconstruction of another view. Thus, an interaction module is designed to acquire the enhanced features by utilizing complementary information between different views. Specifically, the interaction module is composed of a series of interaction units with a residual structure. In addition, the single image features of left and right views are obtained by a spatial feature extraction module, which can be realized by any existing single image super-resolution models. In order to obtain high-quality stereoscopic images, a gradient loss is introduced to preserve the texture details in a view, and a disparity loss is developed to constrain the disparity relationship between different views. Experimental results demonstrate that the proposed method achieves a promising performance and outperforms the state-of-the-art methods.
|
846 |
Please write an abstract with title: An Analysis of Computational Complexity of Various Implementation Techniques of MMSE Demodulation Algorithm, and key words: Symbols, Filtering algorithms, Information filters, Telecommunications, Kalman filters, Synchronization, Computational complexity. Abstract: Currently, the demodulation algorithm optimal for the minimum mean squared error criterion (MMSE algorithm) is increasingly used in communication systems. However, as the dimension of this algorithm increases, it is obviously difficult to implement it in practice. The development of modern communication systems requires an increasingly high dimension of the MMSE algorithm. A number of possible methods for implementing the MMSE algorithm are known, among which those that allow the algorithm itself to be implemented accurately, i.e. without loss in noise immunity, can be distinguished. An analysis of the computational complexity of various embodiments of the MMSE algorithm was carried out: the implementation of the MMSE algorithm in the form of a Kalman filter; implementing the MMSE algorithm using the Frobenius bordering method; implementation of the MMSE algorithm using the Frobenius method with division of dimension in half. As a criterion of computational complexity, the total number of arithmetic operations (multiplications, additions and subtractions, as well as divisions) is used, which is necessary for the exact implementation of the analyzed algorithm. Implementation using the Frobenius bordering method allows you to gain a computational total of about 15% compared to implementation using the Frobenius method with division of dimension in half; and a gain of about 25% over the Kalman filter implementation.
|
847 |
Please write an abstract with title: Gamified English App: A Mobile Application to Enhance Second Language Learning via Gamification, and key words: Computers, Mobile applications, Task analysis, Information technology. Abstract: For as long as there have been students, teachers have looked for ways to motivate them to learn. With the advent of computers and computer gaming, interest has increased in using elements of gaming in learning materials to engage students' interest and willingness to persist with a learning task. Research on gamification as an aspect of educational pedagogy is growing, but remains limited, especially exploration of the use of gamification in less common subjects, such as foreign language learning. This paper is part of an ongoing research project investigating the effect of gamification on foreign language learning in Saudi Arabia. It introduces a novel gamified mobile application for English language learning called the Gamified English app. The app, presented in this paper, was developed in the Xcode environment for Apple users and includes several gaming elements.
|
848 |
Please write an abstract with title: The parameters design method of recursive MTI filter based on pole-zero analyses, and key words: Design methodology, Band pass filters, Clutter, Feedback, Frequency response, Radar, Modems, Data mining, Delay, Electronic mail. Abstract: Shaping for pass band is a kind of feature of the recursive MTI filter, and design of second order recursive MTI filter for the recursive MTI filter possesses of typical significance. This paper analyzes the effect of filter parameters on second order recursive MTI filter characteristic by pole-zero analyses method, and discusses the relation between filter parameters and improvement factor, or flatness in pass band, or filter notch, or normalized clutter spectrum width. A method for the design of feedforward and feedback parameters is given. The computer simulations show that the frequency response characteristic is extremely good and the clutter can be effectively suppressed.
|
849 |
Please write an abstract with title: Perceptual learning and abstraction in machine learning, and key words: Machine learning, Artificial intelligence, Machine learning algorithms, Computational complexity, Mobile robots, Computers, Learning systems, Humans, Animals, Information processing. Abstract: This paper deals with the possible benefits of perceptual learning in artificial intelligence. On the one hand, perceptual learning is more and more studied in neurobiology and is now considered as an essential part of any living system. In fact, perceptual learning and cognitive learning are both necessary for learning and often depends on each other. On the other hand, many works in machine learning are concerned with "abstraction" in order to reduce the amount of complexity related to some learning tasks. In the abstraction framework, perceptual learning can be seen as a specific process that learns how to transform the data before the traditional learning task itself takes place. In this paper, we argue that biologically inspired perceptual learning mechanism could be used to build efficient low-level abstraction operators that deal with real world data.
|
850 |
Please write an abstract with title: Deep Learning-based Point Cloud Geometry Coding with Resolution Scalability, and key words: Geometry, Visualization, Three-dimensional displays, Scalability, Transform coding, Encoding, Standards. Abstract: Point clouds are a 3D visual representation format that has recently become fundamentally important for immersive and interactive multimedia applications. Considering the high number of points of practically relevant point clouds, and their increasing market demand, efficient point cloud coding has become a vital research topic. In addition, scalability is an important feature for point cloud coding, especially for real-time applications, where the fast and rate efficient access to a decoded point cloud is important; however, this issue is still rather unexplored in the literature. In this context, this paper proposes a novel deep learning-based point cloud geometry coding solution with resolution scalability via interlaced sub-sampling. As additional layers are decoded, the number of points in the reconstructed point cloud increases as well as the overall quality. Experimental results show that the proposed scalable point cloud geometry coding solution outperforms the recent MPEG Geometry-based Point Cloud Compression standard which is much less scalable.
|
851 |
Please write an abstract with title: HemiPhysioData - A SmartWatch App and Methodolgy to collect sensor data of Upper Limbs, and key words: Training, Analytical models, Wearable computers, Machine learning, Stroke (medical condition), Muscles, Data models. Abstract: Consumer smartwatches come with various sensors that provide opportunities for collecting data of daily physical activities and upper limb range of motion. The data can be used for various purposes, such as constrained movements and disability assessment, physical recovery, and achieving fitness goals. In this paper, we introduce a methodology and a HemiPhysioData app developed for the Apple Watch to collect physical activities and movements data involving upper limbs. The app provides an interactive method to collect labelled and clean data. These features minimize the data collection and data cleaning efforts for analysis, machine-learning models, and developing apps to monitor and recognize physical activities and range of motion. The HemiPhysioData app is available in App Store.
|
852 |
Please write an abstract with title: Disease Detection in Tomato plants and Remote Monitoring of agricultural parameters, and key words: Convolutional Neural Network (CNN), Internet of Things (IOT), Deep Learning (DL). Abstract: Unarguably, tomato plants provide a lot of health benefits. Just to name a few, maintenance of blood pressure and reduction of blood sugar levels in diabetic people. Consequently, it is important to grow tomato with care. This paper introduces a method wherein Deep Learning and Internet of Things technologies are used to monitor the overall health of the plant more efficiently. This paper mainly utilizes the benefits of Convolutional Neural Networks, a type of Deep Neural Network to detect diseases in the leaves of tomato plants. In addition, sensors like soil moisture, temperature and humidity are utilized to provide more information to the farmer. The farmer is afforded with information about the agricultural field through an application. This paper provides an efficient method so as to reduce the farmers’ effort by enabling him/her to remotely monitor the tomato plants in his/her field.
|
853 |
Please write an abstract with title: Verification of THz genetic algorithm using a VNA, and key words: Patch antennas, Genetic algorithms, Testing. Abstract: THz antennas have been designed using a bespoke genetic algorithm. A patch antenna designed using this technique was found to have a mean improvement of 7.58 dB on a reference patch between 0.1 THz and 5.0 THz. This paper presents the testing of this antenna between 0.8 THz and 1.0 THz and subsequent verification of the algorithm.
|
854 |
Please write an abstract with title: A Fuzzy AHP-based Method for Evaluating the Modal Coordination of Integrated Transportation Networks, and key words: Mechatronics, Automation, Layout, Transportation, Analytic hierarchy process, Rail transportation, Planning. Abstract: Integrated transportation systems serve as the infrastructure of our society, and their coordination have a great impact on regional socio-economic development. This paper constructs a three-tier evaluation indicator system for the modal coordination of an integrated transportation network by taking into consideration three criteria, namely, structural matching, reasonable layout, and effective integration. The weight of each evaluation indicator is determined based on the analytic hierarchy process (AHP) and inputs from experts. And the membership degree of each indicator is calculated using a fuzzy comprehensive evaluation (FCE) method. Finally, this evaluation indicator system is applied to a regional transportation network to validate its effectiveness. The results show that the overall modal coordination of the regional transportation network is "good", which means there is a large room for optimization. The proposed method for evaluating the modal coordination of an integrated transportation network can provide a scientific basis for the planning and structural layout optimization of regional transportation networks.
|
855 |
Please write an abstract with title: Application of LSTM Model for Western Music Composition, and key words: Training, Measurement, Music, Information and communication technology, Artificial intelligence, Long short term memory, Convergence. Abstract: Music is one of the innate creative expressions of human beings. Music composition approaches have always been a focal point of music-based research and there has been an increasing interest in Artificial Intelligence (AI) based music composition methods in recent times. Developing an accurate algorithm and neural network architecture is imperative to the success of an AI-based approach to music composition. The present work explores the composition of western music through neural network using a Long Short-Term Memory (LSTM) algorithm. Compositions from seminal western composers such as J.S. Bach, W.A. Mozart, L.V. Beethoven, and F. Chopin were used as the dataset to train the neural network. Seven compositions were generated by the LSTM model and these outputs were presented to a group of thirty volunteers between 18–24 years of age. They were surveyed to identify the music piece as composed by a human or AI and how interesting they found the melodies of each piece. It was found that the LSTM model generated compositions that were thought to be made by a human and create melodies of interest from the perception of the volunteers. It is expected that through this study, more AI-based composition approaches can be developed which encompass more and more of the musical phenomenon.
|
856 |
Please write an abstract with title: A new approximation method of estimating common mode (CM) model impedance parameters for EMI emissions in motor drive system, and key words: Approximation methods, Impedance, Electromagnetic interference, Motor drives, Pulse width modulation inverters, Filters, EMP radiation effects, Pulse inverters, Frequency, Circuits. Abstract: Predicting and solving electromagnetic interference (EMI) emissions related to common mode (CM) types in inverter (also, in pulse with modulation (PWM) inverter)-induction motor drive systems requires various frequency-dependent effects to be considered. Thus, the application of filter circuitry to prevent dependency on some parameters of the motor for EMI filtering is considered. The proposed neural network method allows one to determine common mode (CM) impedance components in the application stage of EMI filter to prevent the EMI noise being applied to the conducted electromagnetic emissions caused by the power supply to the CM path of the motor drive system in control environments.
|
857 |
Please write an abstract with title: V2X Radio Interface, and key words: Array signal processing, Ultra reliable low latency communication, Throughput, Precoding, Machine learning algorithms, Genetics, Delays. Abstract: This chapter provides insights into key aspects of the radio interface design for vehicle‐to‐everything (V2X) communications for connected automated driving and connected road user services. A key technology component in the 5G NR system is the application of beamforming techniques with narrow beams in the mm‐wave spectrum to overcome the dominant path‐loss effect. The chapter presents different beamforming schemes. It focuses on extensions of the air interface in the PHY and MAC layer to address the challenges for V2V communication among a large number of distributed vehicles in highly mobile environments. Short‐range communication established by the V2V sidelink enables the facilitation of new communication concepts for V2X: neighboring user equipments in a close vicinity can cooperate in uplink and downlink transmissions with a base station to make use of additional link diversity, which can be beneficially exploited to improve overall reliability at a reasonable system cost.
|
858 |
Please write an abstract with title: High-frequency optimal periodic processes, and key words: Differential equations, Computer errors, Sensor systems, Torque, Inertial navigation, Mechanical sensors, Symmetric matrices, Signal generators, Vibrations, Aircraft. Abstract: The limit case of high-frequency optimal processes is analyzed. An upper bound for the number of different constant control vectors constituting the optimal bang-bang control can be derived a priori from the structure of the problem. Therefore, the optimal solution can be easily determined via mathematical programming.
|
859 |
Please write an abstract with title: Highly dense anisotropic Sm-Fe-N-based bonded magnets including unsaturated polyester prepared by powder compacting press, and key words: Anisotropic magnetoresistance, Bonding, Magnets, Powders, Brushless motors, Magnetic properties, Magnetic materials, Solids, Lubricants, Injection molding. Abstract: Methods of preparing Sm-Fe-N-based bonded magnets, including unsaturated polyester by the powder compacting press, and of improving the motor efficiency of the small brushless motor were studied. The developed method enabled the preparation of Sm-Fe-N-based bonded magnets under a low pressure, which suggests that the developed method has an advantage in the preparation process. The application of these developed magnets improved the motor efficiency by 5% compared with that using isotropic Nd-Fe-B bonded magnet with the (BH)/sub max/ value of 80 kJ/m/sup 3/.
|
860 |
Please write an abstract with title: An Abnormal Network Traffic Detection Method for Steam Turbine Control System based on Long Short-Term Memory, and key words: Neural networks, Time series analysis, Thermal engineering, Telecommunication traffic, Control systems, Communications technology, Stability analysis. Abstract: The steam turbine control system, as apart of the power control system, is a cyber physical system which relies on communication technology and control technology to control the steam turbine automatically. In order to solve the problem that its communication technology is vulnerable to network intrusion and thus threatens the security and stability of the power grid, a network abnormal detection method for turbine control system based on long- short term memory (LSTM) is proposed in this paper. Firstly, an LSTM neural network is established to predict a value based on the historical data of the selected time series, Then, the error between the predicted value and the actual value is calculated. Finally, a network intrusion is determined when the error exceeds the threshold value. Compared -with the results of other common neural networks, the proposed method is proved to be effective and more accurate.
|
861 |
Please write an abstract with title: Modeling plasma immersion ion implantation under trapezoidal voltage pulses, and key words: Plasma immersion ion implantation, Voltage, Plasma sheaths, Plasma accelerators, Plasma density, Plasma properties, Frequency, Implants, Geometry, Plasma waves. Abstract: In plasma immersion ion implantation (PIII), ions are extracted from the plasma and implanted in a target subjected to high negative voltage pulses. PIII models assume that the uncovering of enough ions at the moving sheath edge establishes a space-charge-limited ion flow that supplies the ion implant current at the target. The present paper reexamines this assumption in one-dimensional planar geometry by relating the implant current at the target to the Child law current through a delay time function that properly accounts for the transit time of the ion through the sheath. Comparison of the total current calculated both at the target and at the leading edge of the sheath demonstrates that the model provides accurate results as long as the ion time scale is shorter than the characteristic times of the applied voltage waveform.
|
862 |
Please write an abstract with title: Constructions and analyses of nonblocking WDM switches based on arrayed waveguide grating and limited wavelength conversion, and key words: Arrayed waveguide gratings, Wavelength division multiplexing, Optical wavelength conversion, Optical noise, Optical switches, Optical waveguides, Energy consumption, Integrated optics, Optical devices, Optical fiber networks. Abstract: Constructing fast wavelength division multiplexing switches with cheap, integratable components, less power consumption and noise accumulation, and low complexity is an important problem in optical networking. Typically, there are two request models widely considered. In one model, a connection request asks to go from a wavelength on an input fiber of the WDM switch to a particular wavelength on an output fiber. In the other, a connection only needs to get to a particular output fiber, irrespective of what wavelength it will be on. In this paper, we give novel constructions of strictly nonblocking and rearrangeably nonblocking WDM switches for both request models using limited range wavelength converters and arrayed waveguide grating routers. We fully analyze their blocking characteristics. Our designs are all relatively simple and easy to be laid out, consume little power, do not accumulate much noise, and are useful for both optical circuit-switching and optical packet/burst switching. As far as we know, these are the first of such constructions.
|
863 |
Please write an abstract with title: A kinematic study on social intention during a human-robot interaction, and key words: Modulation, Humanoid robots, Human-robot interaction, Kinematics, Behavioral sciences, Robots. Abstract: In this study, we investigate the possible effects on the human movement kinematics of the presence of a humanoid robot during an interaction. We conducted an experiment in which 11 participants were required to grab a cube and to drop it in the hands of a robot, a human and in a rectangular box. Using this setup, we explore whether the kinematics of the participants’ gestures would be particularly influenced by the presence of the robot and whether this influence would be due to the fact that the robot is considered as a possible social partner. The results show that the condition that includes the robot partner leads to kinematic modulation that are similar to the condition including the human partner. Furthermore, there are significant differences between the condition including the robot and the one with the box. Finally, our results show that the participants pro-social behavior is correlated with the perceived agency of the robot as evaluated by a user questionnaire.
|
864 |
Please write an abstract with title: Modeling Trust-Aware Recommendations With Temporal Dynamics in Social Networks, and key words: Recommender systems, Predictive models, Computational modeling, Social network services, Measurement, Task analysis, Collaboration. Abstract: In recent years, user's trust has gained attention in recommender systems. Trust plays a vital role in the recommendation of online products. Trust is a dynamic feature which evolves with passage of time and varies from person to person. Trust-based cross domain recommender systems suggest items to the users usually by ratings, provided by similar users, often not available in the same domain. However, due to the sparse rating scores, recommender systems cannot generate up-to-the-mark recommendations. In this research, we solved a user cold start problem, mainly by modeling preference drift on a temporal basis. We tried to solve this problem by adopting one of the scenarios of cross domain of `No Overlap' using cross domain information. In this work, we proposed a model called Trust Aware Cross Domain Temporal Recommendations (TrustCTR) that predict the rating of an item about an active user from the most recent time. We generated user features and item features by using latent factor model and trained the proposed model. We also introduced the concept of trust relevancy that shows the degree of trust, computed the trusted neighbors in target domain for an active user belonging to a source domain, and predicted the ratings of items for cold start users. We performed experiments on public datasets Ciao and Epinions and used these datasets in cross domain form such as the categories of Ciao as source domain and Epinions as the target domain. We selected five different domains, having a higher proportion of rating sparsity, for observing the performance of our approach using MAE, RMSE, and F-measure. Our approach is a viable solution of cold start problem and offers effective recommendations We also compared the model with state-of-the-art methods; the model generates satisfactory results.
|
865 |
Please write an abstract with title: User Experience Evaluation of Egrang Traditional Game Application, and key words: Games, User experience, Tools, Land mobile radio, User interfaces, Smart phones, Pragmatics. Abstract: Today's modern game that many children play is mobile-based. The rapid development of smartphones makes mobile gaming technology develop too. Traditional games have been developed in Indonesia. The purpose of elevating traditional games into mobile game applications is so that children now know the traditional game of the nation's culture even though it is now in the digital age. One of the traditional games raised in mobile games is Stilts. This study discusses the evaluation of traditional Egrang game application users. Respondents from this study are children aged 7 to 13 years. The tool used for processing and analyzing respondent data is the User Experience Questionnaire (UEQ). UEQ will measure 6 User Experience scales, including Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty. The results of this study obtained Perspicuity and Novelty Scale data in the Above Average range. Attractiveness, Efficiency, and Dependability scales are in the Below Average range.In contrast, the Stimulation scale is in the Bad range. From these data, it can be seen that the stimulation scale most needs to get more attention in the evaluation or development of subsequent applications. In contrast, the one who gets the highest score is Perspicuity. So it can be concluded that respondents said the game was easy to understand when playing for the first time but was still not motivated to play it repeatedly and tended to get bored quickly.
|
866 |
Please write an abstract with title: Optical and electro-optical properties of Sn/sub 2/P/sub 2/S/sub 6/, and key words: Tin, Nonlinear optics, Optical refraction, Optical variables control, Optical recording, Photorefractive materials, Optical beams, Wide band gap semiconductors, Ferroelectric materials, Photorefractive effect. Abstract: Tin thiohypodiphosphate (Sn/sub 2/Pn/sub 2/S/sub 6/) is a wide bandgap semiconductor ferroelectric with interesting nonlinear optical properties and large electro-optical coefficients. In addition it is also a very attractive photorefractive material showing fast photorefractive grating recording times and large refractive index change in the red and near infrared spectral region. These properties make Sn/sub 2/Pn/sub 2/S/sub 6/ an interesting material for several applications where laser diodes are employed (laser stabilization, beam cleanup, optical phase conjugation). The wide optical transparency range extending from /spl lambda/=0.53 /spl mu/m to /spl lambda/=8 /spl mu/m also allows optical parametric generation of infrared wavelengths not accessible with standard nonlinear optical crystals.
|
867 |
Please write an abstract with title: Efficient construction of multibit tries for IP lookup, and key words: Routing, Internet, Dynamic programming, Sun, Workstations, IP networks, Table lookup, Data structures, Heuristic algorithms, Telecommunication traffic. Abstract: Srinivasan and Varghese (see ACM Trans. Comput. Syst., p.1-40, 1999) have proposed the use of multibit tries to represent routing tables used for Internet (IP) address lookups. They propose dynamic programming algorithms to determine the strides of optimal multibit fixed-stride and variable-stride tries. We improve on these algorithms by providing alternative dynamic programming formulations for both fixed- and variable-stride tries. While the asymptotic complexities of our algorithms are the same as those for the corresponding algorithms of Srinivasan and Varghese, experiments using real IPv4 routing table data indicate that our algorithms run considerably faster. Our fixed-stride trie algorithm is two to four times faster on a SUN workstation and 1.5 to three times faster on a Pentium IV PC. On a SUN workstation, our variable-stride trie algorithm is between two and 17 times faster than the corresponding algorithm of Srinivasan and Varghese; on a Pentium IV PC, our algorithm is between three and 47 times faster. An added feature of our variable-stride trie algorithm is the ability to insert and delete prefixes taking a fraction of the time needed to construct an optimal variable-stride trie "from scratch".
|
868 |
Please write an abstract with title: An empirical study of open-source and closed-source software products, and key words: Open source software, Computer Society, Programming, Software metrics, Computer industry, Scalability, Data security, Costs, Software systems. Abstract: We describe an empirical study of open-source and closed-source software projects. The motivation for this research is to quantitatively investigate common perceptions about open-source projects, and to validate these perceptions through an empirical study. We investigate the hypothesis that open-source software grows more quickly, but does not find evidence to support this. The project growth is similar for all the projects in the analysis, indicating that other factors may limit growth. The hypothesis that creativity is more prevalent in open-source software is also examined, and evidence to support this hypothesis is found using the metric of functions added over time. The concept of open-source projects succeeding because of their simplicity is not supported by the analysis, nor is the hypothesis of open-source projects being more modular. However, the belief that defects are found and fixed more rapidly in open-source projects is supported by an analysis of the functions modified. We find support for two of the five common beliefs and conclude that, when implementing or switching to the open-source development model, practitioners should ensure that an appropriate metrics collection strategy is in place to verify the perceived benefits.
|
869 |
Please write an abstract with title: Fabrication of ZnO nanowires cold cathode X-ray source with micro patterned transmission anode, and key words: Fabrication, II-VI semiconductor materials, Imaging, Zinc oxide, Nanowires, Anodes, X-ray imaging. Abstract: Flat-panel X-ray source could realize compact imaging system with low dosage. In order to better control the size of X-ray emission spot from the flat panel X-ray source, we fabricated a flat panel X-ray source with micro-pattern transmission anode. The size of X-ray emission spot can be accurately controlled by modulating the size of the transmission anode pattern, which is expected to improve the imaging performance.
|
870 |
Please write an abstract with title: Design of epoxy resins for UV laser cure, and key words: Optical design, Epoxy resins, Polymers, Laser modes, Ring lasers, Chemical lasers, Lamps, Argon, Absorption, Microelectronics. Abstract: Epoxy resins are known to be curable by UV initiated cationic living polymerization. The monochromatic UV light from scanning lasers bears some peculiarities, especially when defined structures are to be cured. Different types of UV lasers have been examined to cure resin layers of some ten micrometers thickness. Several ingredients of the resin formulations have been developed and screened for suitability in microelectronic applications similar to micro laser stereolithography. Among those were photoinitiators, sensitizers, polyols and new epoxy compounds.
|
871 |
Please write an abstract with title: Railway track quality assessment and related decision making, and key words: Rail transportation, Quality assessment, Decision making, Resource management, Predictive models, Railway engineering, Civil engineering, Geology, Inspection, Process design. Abstract: Railways must establish explicit processes for making decisions on various activities to be undertaken to keep these key objects within desirable (required) condition/operational limits. These activities usually represent M&R works, but could also represent other activities like additional/extraordinary inspections. This paper describes how such a condition-based process can be designed. The process consists of identifying key infra-objects and their necessary information, finding ways for collecting this data, and understanding relationships between these data (revealing the key objects' behavior in time). Certain thresholds are applied for certain condition parameters, and deterioration models are utilized to determine when these limits are reached; they signify needs for certain M&R works/inspections.
|
872 |
Please write an abstract with title: Placement of CPU-Intensive Virtual Machines in High Resource Utilization Cloud Datacenters. An Economical Revenue Maximization Analysis, and key words: Memetics, Measurement, Cloud computing, Prediction algorithms, Linear programming, Virtual machining, Resource management. Abstract: The enormous growth in the use of Cloud Service Providers (CSPs) leads to an increasing consideration of the optimization of Virtual Machine Placement (VMP) to host services for clients. This work aims to study VMP resolution algorithms in cloud datacenters with high resource utilization and CPU-intensive requested VMs for economical revenue maximization. Experiments were carried out in 64 different experimental scenarios. From the four evaluated algorithms in the experimental results, it can be seen that A1 offers the best results considering a centralized decision approach, First-Fit for the iVMP phase, Memetic Algorithm (MA) for the VMPr phase, prediction-based method for VMPr Triggering and update-based method for VMPr recovering. A1 slightly outperforms the other algorithms that also perform well for the analyzed scenarios considering average, maximum and minimum objective function evaluation metrics.
|
873 |
Please write an abstract with title: Effects of Frequency Cutoff Characteristics on Spiking and Ringing of TV Signals, and key words: Cutoff frequency, TV, Absorption, Attenuation, Sea level, Space vehicles, Noise reduction, Propagation delay, Brightness, Gases. Abstract: The spiking and ringing of TV signals depend upon amplitude and delay characteristics associated with frequency cutoff of transmission. The effects of a variety of cutoff characteristics of both ideal and practical systems on rectangular and sine-squared pulses are illustrated by computed waveforms. The illustrations are arranged to show a) waveform of input pulse, b) amplitude and delay characteristics of transmission path, and c) waveform of output pulse. Included here is a discussion of inferences that can be drawn from certain output wavesforms on the reductions in transient response that are achieved by inband delay equalization and amplitude roll-off.
|
874 |
Please write an abstract with title: Automatic Detection of Weld Defects Based on Hough Transform, and key words: Weld defect, radiography, NDT, Hough Transform, Canny, Adaptative Thresholding. Abstract: Weld defect detection is an important application in the field of Non-Destructive Testing (NDT). These defects are mainly due to manufacturing errors or welding processes. In this context, image processing especially segmentation is proposed to detect and localize efficiently different types of defects. It is a challenging task since radiographic images have deficient contrast, poor quality and uneven illumination caused by the inspection techniques. The usual segmentation technique uses a region of interest ROI from the original image. In this article, a robust and automatic method is presented to detect linear defect from the original image without selection of ROI based on canny detector and a modified `Hough Transform' technique. This task can be subdivided into the following steps: firstly, preprocessing step with Gaussian filter and contrast stretching; secondly, segmentation technique is used to isolate weld region from background and non-weld using Adaptative Thresholding and to extract edges; thirdly, detection, location of linear defect and limiting the welding area by Hough Transform. The experimental results show that our proposed method gives good performance for industrial radiographic images.
|
875 |
Please write an abstract with title: Detection and recognition of lung abnormalities using deformable templates, and key words: Lungs, Spirals, Computed tomography, Cancer detection, Image recognition, Biomedical imaging, Image analysis, Arteries, Veins, Respiratory system. Abstract: Automatic detection and recognition of lung cancer during mass screening of spiral computer tomographic (CT) chest scans is one of the most important problems of today's medical image analysis. We propose an algorithm for isolating lung abnormalities (nodules) from arteries, veins, bronchi, and bronchioles after all these objects have been already separated from the surrounding anatomical structures. The separation is presented elsewhere, and this paper focuses on nodule detection using deformable 3D and 2D templates describing typical geometry and gray level distribution within the nodules of the same type. The detection combines normalized cross-correlation template matching by genetic optimization and Bayesian post-classification. Experiments with 200 spiral low dose CT (LDCT) scans confirm the accuracy of our approach.
|
876 |
Please write an abstract with title: SINS/DVL Integrated Navigation Method With Current Compensation Using RBF Neural Network, and key words: Navigation, Current measurement, Neural networks, Sensors, Structural beams, Estimation, Sea measurements. Abstract: In strapdown inertial navigation system (SINS)/Doppler velocity log (DVL) integrated navigation, the DVL is utilized to restrain the error accumulation of SINS. When operating in mid-water zone, the DVL may lose bottom track due to the limited sensor range. In this case, its measurements will be affected by sea currents. To overcome this problem, this paper proposes a novel current compensation method for SINS/DVL integrated navigation. Based on a new technical route, the proposed method removes the constraints of the existing methods. It is developed as follows. By applying the DVL measurements in the acoustic Doppler current profiler mode, a current measurement module is established to operate in parallel with the SINS/DVL integrated navigation system. On this basis, a radial basis function (RBF) neural network is designed for current compensation. Specifically, when the DVL operates normally, it can simultaneously output the earth-relative and water-relative velocities. The earth-relative velocity is applied for integrated navigation. Meanwhile, it is applied to train the RBF neural network along with the water-relative velocity. Therefore, the RBF neural network approximates the function between the earth-relative and water-relative velocities. When the DVL loses bottom track, the well-trained RBF neural network can be utilized as a velocity predictor. By inputting the water-relative velocity from DVL, it can predict the earth-relative velocity for integrated navigation. In this way, the current compensation is achieved. The effectiveness of the proposed method is verified by realistic semi-physical experiments.
|
877 |
Please write an abstract with title: High Speed Switching Devices in 4H-SiC - Performance and Reliability, and key words: Silicon carbide, Temperature, Photonic band gap, Thermal conductivity, Voltage, Heat sinks, Electronics cooling, Semiconductor materials, Semiconductor devices, Leakage current. Abstract: Silicon carbide (SiC) is a very attractive material for high temperature semiconductor devices because of its very wide bandgap (3.26 eV). Due to the wide bandgap, thermal carrier generation is very low in SiC, resulting in negligible junction leakage currents for temperatures up to 500 degC. Other advantage of SiC is high breakdown strength (10times that of silicon) and high thermal conductivity. This allows the drift layers in SiC power devices to be 10times thinner with 100times the doping concentration, compared to a silicon device for a given blocking voltage. Thus, high voltage majority carrier power devices with reasonably low on-resistances are possible in SiC (Ryu et al., 2004). Due to lack of excess minority carriers, these devices can operate at much higher switching frequencies with acceptable switching losses. The ability to operate at higher frequencies reduces the passive components in a power system. In addition, higher temperature capability of SiC devices can translate into more relaxed heat sinking requirements. This means that smaller heat sinks and/or passive cooling can be used for SiC power devices. It is expected that the size and weight of power electronics utilizing SiC switching devices and diodes will be significantly reduced by means of passive cooling, and smaller and lighter passive components
|
878 |
Please write an abstract with title: Research on 5G Ubiquitous Internet of Things Based on Pilot Classen Frequency Offset Estimation Algorithm, and key words: Frequency estimation, Estimation, OFDM, Synchronization, Interference, Frequency modulation, Filter banks. Abstract: In recent years, with explosive growth of cloud computing, high-definition video, artificial intelligence and ubiquitous Internet of Things network services, people urgently need more bandwidth resources and better network service quality are urgently required. Therefore, communication system for π/4DQPSK modulation method is proposed in this paper where FFT is performed on preamble to detect signal and estimate frequency offset with special preamble, which is simple and easy to implement. However, in actual communication, effects of sudden interference and noise need to be considered. Based on it, appropriate improvements are made, and preamble is divided into multiple zero-filling. Besides it, frequency offset is calculated through multiple fast Fourier transforms, and frequency offset estimation results are sorted. What's more, difference is filtered to remove larger deviation, and average estimation results of remaining frequency offset are used as final estimation result to reduce impact of sudden interference.
|
879 |
Please write an abstract with title: 3-D Printer Robot for Civil Construction: A Bond Graph Approach, and key words: Buildings, Fasteners, Lead, Signal processing, Three-dimensional printing, Stability analysis, Finite element analysis. Abstract: In construction industry, the conventional way of construction of buildings is a costly, time consuming and a labour-intensive job. Besides that, many on-site fatalities happen during the construction activity and the climate can delay construction activity. 3-D printer robot resolves all these problems. Also, it can be used for intricate building designs and for construction of buildings in remote locations or in epidemic situations. The objective of the project is to make an autonomous robot for 3-D printing a simple civil structure. Three lead screws will provide the movement in the vertical as well as in horizontal directions and a nozzle connected to the horizontal lead screw will be used for pouring the construction-material layer by layer. Thereafter, structural analysis using Finite Element Method (FEM) has been done on critical parts like lead screw and top plate. Bond graphs for buggy and overall lead screw system have also been used to analyze the response of the system. Furthermore, the wring diagram is also developed and presented in the paper. Future research is required for the development of actual robot for building multi-storied structures, on the design of nozzle and type of material used for pouring.
|
880 |
Please write an abstract with title: Study on the heterogeneous material coupling connection characteristics and mechanical strength of Oratosquilla oratoria mantis shrimp saddle, and key words: saddle, heterogeneous materials, lamellar structure, microfibril, microstructure, mechanical strength. Abstract: The microstructure, chemical composition and mechanical strength of heterogeneous materials of mantis shrimp (Oratosquilla oratoria) saddle were studied. As the key component of the striking system, the saddle comprised two distinct layers including outer layer and inner layer. The outer layer contained blocky microtubules and exhibited compact appearance. The inner layer presented a typical periodic lamellar structure. Due to the change of the thickness of the mineralized outer layer, the organic multilamellar structure became the foundation and enhanced the connection strength (4.55 MPa) at the connect regions between the saddle and merus exoskeleton and membrane, respectively. In the process of fracture, the lamellar structure dispersed the stress effectively by the change of the crack deflection direction and the microfibrils ordered arrangement. The exploration of mantis shrimp saddle region is beneficial to understand the striking system and provided the possibility for the stable connection of heterogeneous materials in engineering fields. The microstructure, heterogeneous material connection characteristics and high mechanical strength of saddle provide bionic models for the preparation of fiber-reinforced resin composites and soft composites.
|
881 |
Please write an abstract with title: Retrospective views of geomatics teaching in Argentina, and key words: Training, Geomagnetism, Visualization, Satellites, Education, Transforms, Sensors. Abstract: Geomatics milestones throughout the time guide teaching practices in the present. Understanding the teaching approach in the classroom, and its role in our preparation; it is necessary to reconstruct how ideas about the discipline and its teaching were developed. To this end, we analyzed information from 33 interviews with founders, current teachers and new generations of geomatics professors in Argentina about the historical events that occurred during their careers and professional experience. We used qualitative and quantitatives methods to reconstruct the period from the founding of the National AeroSpace Commission (CONAE) until today (1991-2021).
|
882 |
Please write an abstract with title: Network Graph Theory and Organization Model Analysis based on Mathematical Modeling with the Dynamic Systematic Data Perspective, and key words: Analytical models, Systematics, Information resources, Organizations, Market research, Mathematical models, Data models, Graph theory, Internet, Testing. Abstract: Network graph theory and organization model analysis based on the mathematical modeling with the dynamic systematic data perspective is studied in the paper. As a new attempt of classification organization of network information resources, free classification has brought new theory and supplement to the classification. In the modern Internet era, free classification has a broad space for use and also development. Compared with the traditional classification, it is more suitable for the classification of network information resources. Hence, for the better study, the mathematical model based graph set will be studied. Through the analysis of the general existing network classification system, it is found that there are still many problems to be improved in the classification system used for network information organization, hence, this research study utilizes the dynamic model to improve the accuracy. The performance of the proposed model is evaluated by using the systematic testing.
|
883 |
Please write an abstract with title: A framework for local QoS prediction in mobile wireless networks, and key words: Intelligent networks, Wireless networks, Computer networks, Mobile computing, Data mining, Information management, Predictive models, Sun, Computer science, Computer network management. Abstract: We propose a framework for local QoS prediction in mobile wireless networks in this paper. The basic mechanism includes extracting affected parameters within the mobile environment, managing local information dynamically and predicting local QoS performance supported by several models of the networks. All the models are built coordinated to quantify the parameters in the network, and combine the parameters from lower layers with the parameters in higher layer, so that the QoS performance, such as delay and packet loss can further be predicted in the mobile environment.
|
884 |
Please write an abstract with title: Impact of AWGN estimation on classification performance of AMC algorithms based on higher order cumulants, and key words: Wireless communication, Estimation, Modulation, Receivers, Robustness, Classification algorithms, Telecommunications. Abstract: Automatic modulation classification (AMC) represents technique for modulation format recognition of a priori unknown signals, with wide usage in a numerous wireless systems and applications. In this paper, performance of AMC algorithms based on higher order cumulants was explored, since low computational complexity makes them be a very attractive from practical point of view. In order to additionally explore practical aspects of these algorithms, they were considered under conditions of Additive White Gaussian Noise (AWGN) with unknown noise variance, in channel with AWGN only, along with the multipath channel. Monte Carlo simulations were executed for performance tests, with AMC features expressed through probability of correct classification of modulation formats. In this way, impact of using estimated noise variance, instead of a priori known noise variance, on performances of AMC algorithms was presented and discussed, confirming their potential for practical application.
|
885 |
Please write an abstract with title: Nonlinear Model of Vibrating Flip-Flow Screens That Considers the Effects of Screen Panels, and key words: Force, Strain, Dynamics, Mathematical models, Finite element analysis, Kinematics, Vibrations. Abstract: Vibrating flip-flow screens have been widely used in the mineral processing industry. As the key components, flip-flow screen panels strongly affect the dynamics of vibrating flip-flow screens. However, there is no systematic research into this problem. In this study, the dynamic characteristics of flip-flow screen panel are identified by the finite element analysis. Furthermore, a nonlinear coupling dynamic model of vibrating flip-flow screens that considers the effects of flip-flow screen panels is proposed, and the analytical and numerical solutions of its governing equation are deduced via the equivalent linearization method and the time marching method. Also, experimental results show that the proposed model describes the movements of vibrating flip-flow screens more accurately than the classical mechanical model which does not consider flip-flow screen panels. Finally, the effects of the screen panel’s parameters, such as the slack length and the stiffness, on the dynamics of vibrating flip-flow screens are investigated.
|
886 |
Please write an abstract with title: A hybrid movie recommender system based on neural networks, and key words: Motion pictures, Recommender systems, Neural networks, Artificial intelligence, Artificial neural networks, Reservoirs, Internet, Collaborative work, Information filtering, Information filters. Abstract: Recently, there has been a lot of speculation among the members of the artificial intelligence community concerning the way AI can help with the problem of successful information search in the reservoirs of knowledge of Internet. Recommender systems provide a solution to this problem by giving individualized recommendations. Content-based and collaborative filtering are usually applied to predict these recommendations. A combination of the results of these two techniques is used in this work in order to construct a system that provides more precise recommendations concerning movies. The MovieLens data set was used to test the proposed hybrid system.
|
887 |
Please write an abstract with title: Audio-visual Speaker Diarization: Improved Voice Activity Detection with CNN based Feature Extraction, and key words: Voice activity detection, Deep learning, Visualization, Circuits and systems, System performance, Conferences, Feature extraction. Abstract: Speaker diarization is a task to identify “who spoke when”. Moreover, nowadays, speakers’ audio clips usually are accompanied by visual information. Thus, in the latest works, speaker diarization systems performance has been improved substantially by taking advantage of the visual information synchronized with audio clips in Audio-Visual (AV) content. This paper presents a deep learning architecture to implement an AV speaker diarization system emphasizing Voice Activity Detection (VAD). Traditional AV speaker diarization systems use hand-crafted features, like Mel-frequency cepstral coefficients, to perform VAD. On the other hand, the VAD module in our proposed system employs Convolutional Neural Networks (CNN) to learn and extract features from the audio waveforms directly. Experimental results on the AMI Meeting Corpus indicated that the proposed multimodal speaker diarization system reaches a state-of-the-art VAD False Alarm rate due to the CNN-based VAD, which in turn boosts the whole system's performance.
|
888 |
Please write an abstract with title: Multispectral Image Enhancement Based on Weighted Principal Component Analysis and Improved Fractional Differential Mask, and key words: Image enhancement, Feature extraction, Correlation, Principal component analysis, Image edge detection, Filtering, Sensors. Abstract: Compared with single-band images, multispectral images with multiple wavelengths contain more spectral information and can fully reflect the detailed features of ground objects in different bands. To synthesize the feature information, a method of multispectral image enhancement based on improved weighted principal component analysis (WPCA) and improved fractional differential (IFD) filtering is proposed. First, the optimum index factor (OIF) model is modified to select the bands for easy follow-up processing. Then an improved WPCA transform that uses the average gradient and texture roughness is applied to compensate for each band. This approach preserves the main information, compresses the amount of image data, and obtains uncorrelated principal components. According to the correlation of neighboring pixels, a new mask is introduced to enhance the first principal component. Finally, the brightness values of the image are adjusted after inverse WPCA transform to obtain the final enhanced image. The experimental results demonstrate the superiority of the proposed method over related methods. Its future practical applications are discussed in the conclusion.
|
889 |
Please write an abstract with title: Research on Application of Agricultural Remote Sensing Technology in Big Data Era, and key words: Technological innovation, Costs, Automation, Crops, Production, Big Data, Market research. Abstract: Agricultural information is urgently needed by F AO, governments, grain trading enterprises and farms. In the era of big data, the global Agricultural Remote Sensing Technology is developing rapidly, and it is applied to comprehensive agricultural land management, agricultural production application, disaster emergency evaluation and digital agricultural development plan. It has the advantages of high scientificity, considering time and space breadth and content accuracy, low cost, etc., and can realize the monitoring of main crop yield, global environmental change and agricultural production trend analysis, etc. In the future, it is necessary to focus on promoting the application of remote sensing, the construction of global agricultural monitoring system, and the innovation of new practical technologies of agricultural remote sensing, so as to strengthen the application of agricultural spatial information and improve the level of agricultural digitalization.
|
890 |
Please write an abstract with title: Data mining in geosciences, and key words: Data mining, Geology, Satellites, Spatial databases, Remote sensing, Data analysis, Earth Observing System, Image databases, Assembly, Government. Abstract: In this paper we discuss various aspects of data mining in geosciences. We provide overview of data formats, public datasets and data mining algorithms that can be used for knowledge discovery in geoscience data.
|
891 |
Please write an abstract with title: Computational Design of Balanced Open Link Planar Mechanisms with Counterweights from User Sketches, and key words: Perturbation methods, Prototypes, Intelligent robots, Gravity. Abstract: We consider the design of under-actuated articulated mechanism that are able to maintain stable static balance. Our method augments an user-provided design with counter-weights whose mass and attachment locations are automatically computed. The optimized counterweights adjust the center of gravity such that, for bounded external perturbations, the mechanism returns to its original configuration. Using our sketch-based system, we present several examples illustrating a wide range of user-provided designs can be successfully converted into statically-balanced mechanisms. We further validate our results with a set of physical prototypes.
|
892 |
Please write an abstract with title: On Sample Based Explanation Methods for Sequence-to-Sequence Applications, and key words: Deep learning, Natural languages, Behavioral sciences, Computational intelligence. Abstract: As deep learning models continue to develop more and more complex, the scale of natural language processing(NLP) datasets is also increasing, which challenges the ability of sample based explanation methods in terms of their interpretability, faithfulness, etc. In this work, we propose a matching influence function TracInS by selecting representative sequence-to-sequence applications that require high interpretability according to the needs of people who want to understand model behavior. Thereafter, we design enhancement based on TracInS, using arbitrary spans as fine-grained explanation units to achieve interpretability for sequence-to-sequence applications on valid datasets. Finally, we design targeted influence function evaluations, which are semantic-based and retraining-based evaluation methods, to verify that the influence function is effective. At the same time, the improvement of the experimental effect proves that the enhancement is more interpretable.
|
893 |
Please write an abstract with title: Investigation of the Influence of Unbalances the Single-Phase Ground Fault Current in a Coal Mining Enterprise, and key words: Insulation, Power measurement, Phase measurement, Microcontrollers, Current measurement, Distribution networks, Time measurement. Abstract: This article presents the results of research on the stability of the functioning of protection against single-phase ground faults of distribution networks of mining enterprises. Based on the analysis of the results obtained, it was found that in conditions of high heterogeneity of the network configuration, the current protections do not allow providing the necessary sensitivity and selectivity of the damaged connection. During research, it was found that the single-phase ground fault current contains unbalances. The causes of the occurrence of unbalances are identified, possible numerical values are determined and a method for debugging protection against unbalances is developed. The efficiency of the developed algorithm was confirmed by simulation modeling results. An experiment was conducted to reduce insulation in the distribution network of JSC «Polosukhinskaya», according to the consequence of which the revealed values of capacitive currents allowed us to determine the operability of the approach of detuning from imbalances.
|
894 |
Please write an abstract with title: Mobile Microclimate System for Architectural Fieldwork, and key words: Temperature sensors, Temperature measurement, Temperature distribution, Scalability, Linux, Prototypes, Humidity. Abstract: Architectural fieldwork normally needs to understand different factors that affect traditional and modern vernacular architecture, such as temperature, humidity, etc. However, researchers are used to carry different data loggers for this purpose. These devices not only are bulky and pricey, but data access needs manual connections to a computer by the researchers. In this research, we proposed a new microclimate system that provides data collection for architectural fieldwork. The design of the system uses a mini-computer, Raspberry Pi 4, an embedded Linux board, and Web application for detecting surrounding environmental parameters, including light intensity, humidity, temperature and other indexes around various construction sites. We found that the prototype system not only can monitor and record environmental parameters around the building, but it also allows the researchers to view the recorded data remotely. Although a further investigation is needed to understand the usage and scalability of the system in a real situation, we believe it is an important step to help architecture specialists to ease their fieldwork.
|
895 |
Please write an abstract with title: Practice of Specialty Group Construction Based on Information Technology, and key words: Industries, Training, Prefabricated construction, Visualization, Technological innovation, Costs, Maintenance engineering. Abstract: With the development of prefabricated buildings, the requirements for design, cost, construction, maintenance and other processes, the visualization of all kinds of information and lifecycle management are getting higher and higher. Information technology represented by BIM is becoming the direction of industry transformation and upgrading. In this trend, Specialty education must also break the original teaching framework based on a single specialty, and reconstruct the specialty group by standing in the height of the whole industry chain.In this paper, The specialty group of architectural decoration engineering technology constructs the talent training mode innovation of “integration of courses and certificates and ability standard” of prefabricated building integration based on information technology.
|
896 |
Please write an abstract with title: Frank Matcham Brunel of the stage: Just over 100 years after his death, the engineer and architect's influence on theatre remains, and key words: Steel, Ventilation, COVID-19, Technological innovation, Palladium, Buildings, Temperature measurement. Abstract: NO ONE HAS BEEN as big an influence on British theatre design as Frank Matcham. In the late Victorian and Edwardian eras, the engineer and architect built over 100 theatres and redesigned and refurbished a further 80, including the London Hippodrome, Liverpool Olympia, and the ballroom at Blackpool Tower. His outstanding success — both commercial and artistic — was a result of the technical innovations he introduced to theatre construction. Matcham was the Brunel of the stage.
|
897 |
Please write an abstract with title: The shear threshold effect for adhesion through L-selectin: influence of receptor and ligand site density, and key words: Adhesives, Stress, White blood cells, Hydrodynamics, Cells (biology), Switches, Biomedical engineering, Chemical engineering, Recruitment, Morphology. Abstract: The selectin family of cell adhesion molecules mediates capture and rolling adhesion of white blood cells to vascular walls, an essential component of the inflammatory response. Adhesion through L-selectin requires a hydrodynamic shear stress above a threshold level, a phenomenon known as the shear threshold effect. We have reported that the shear threshold effect can be re-created in cell-free systems, in which ligand-coated microspheres are perfused over L-selectin-coated surfaces. The paper extends the use of the cell-free system to determine the concurrent influence of L-selectin and ligand site density on the shear threshold effect. We find that the shear threshold effect diminishes with increasing levels of both L-selectin and its ligand. At reduced site densities of either L-selectin or ligand, the shear threshold effect is present, with maximal rolling observed at a shear stress of 1.2 dynes/cm/sup 2/. At higher site densities of L-selectin and ligand, the shear threshold effect disappears. These results suggest that a shear threshold is required for L-selectin-mediated rolling only when low numbers of receptor-ligand bonds can be formed. The appearance of the shear threshold effect may be controlled via receptor or ligand site density.
|
898 |
Please write an abstract with title: Validation of the Concept for a Wideband-frequency Grid Impedance based Grid Emulator, and key words: Impedance, Real-time systems, Equivalent circuits, Integrated circuit modeling, Transfer functions, Power system stability, Harmonic analysis. Abstract: More and more power electronics based components such as photovoltaic inverters, wind energy systems, energy storage systems or electric car chargers are integrated into modern grids. During their development, the components' behavior in a grid is validated by using grid emulators. Existing grid emulators act as an ideal voltage source or a voltage source behind a resistive-inductive impedance. But measurements reported in literature show that grid impedances of grids containing power electronics based components are much more complex than first order resistive-inductive impedances. Therefore, in this paper a novel AC and DC grid emulator concept is proposed. It enables, different from existing grid emulators, the emulation of higher order grid impedances. Requirements, which provide guidelines for the implementation of the grid emulator, are identified based on the proposed grid emulator concept. Based on those guidelines, a simulation-based single-phase grid emulator prototype, combining a real-time simulation with a power amplifier into a single device, is developed. Two PHiL interface algorithms for linking the real-time simulation and the power amplifier are compared with respect to their influence on the emulation bandwidth and stability of the grid emulator setup. Transient simulations illustrate the grid emulator's performance and verify the theoretical results, thus validating the proposed concept.
|
899 |
Please write an abstract with title: Error Exponents for Asynchronous Multiple Access Channels, Controlled Asynchronism May Outperform Synchronism, and key words: Decoding, Entropy, Codes, Reliability, Delays, Encoding, Tools. Abstract: Exponential error bounds achievable by universal coding and decoding are derived for frame-asynchronous discrete memoryless multiple access channels with two senders, via the method of subtypes, a refinement of the method of types. An empirical entropy decoder is employed. A key tool is an improved packing lemma, that overcomes the technical difficulty caused by codeword repetitions via an induction based new argument. The asymptotic form of the bounds admits numerical evaluation. This demonstrates that error exponents achievable by synchronous transmission can be superseded via controlled asynchronism, i.e. a deliberate shift of the codewords.
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