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Please write an abstract with title: A Novel Software Architecture of Anticipatory Harvesting Robot Teams, and key words: Software architecture, Robot kinematics, Software algorithms, Robot vision systems, Knowledge based systems, Inspection, Manipulators. Abstract: This paper presents a novel application of anticipatory coordination and optimization principles, previously developed for autonomous inspection robot teams. The core tenet behind our research is to build a team of agile and relatively small robots, each equipped with two synergistically operating robotic arms, one arm with a soft gripper, the other arm with a set of cameras and a fruit cutting mechanism, all controlled by innovative anticipatory network (AN) algorithms. This allows the plantation management to efficiently supervise the team, coordinated and optimized by an adaptive anticipatory decision engine. Another key component of the robotic software architecture that allows the team of robots to efficiently harvest soft fruits such as strawberries or raspberries is a package of information fusion algorithms in the world model, associated with a knowledge base and a digital twin of the cover crops. We will show that AN coordination principles ensure the reliable operation of robots in case of communication disturbances or when uncertain or incomplete instructions are entered by the operator in the management and supervision system. The flexible design of the overall robotic architecture will make it possible to further develop the robot teams to respond to additional needs such as harvesting other fruits and working in various horticultural environments.
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398,901 |
Please write an abstract with title: Detection of moving targets by ground bistatic radar, and key words: Radar detection, Bistatic radar, Radar antennas, Receiving antennas, Integral equations, Transmitting antennas, Security, Doppler radar, Radar scattering, Radar theory. Abstract: The paper proposes a mathematic model to describe signals in antenna output (signatures) in a bistatic microwave intrusion link. The theory deploys Rayleigh’s method to describe electromagnetic wave diffraction on the moving silhouette of an intruder in scalar approximation. The model uses 2d Fourier transform and it is easy to calculate using fast Fourier transform algorithm. Theoretical results were compared with experimental signatures obtained with a 3-cm bistatic radar. They are in a good agreement.
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398,902 |
Please write an abstract with title: Research on the Work of Equipment Scientific Research Project Comparison Test, and key words: Procurement, Automation, Organizations, Regulation, Artificial intelligence. Abstract: This paper analyzes the problems in the preparation of competitive documents, test organization, technical status confirmation and other aspects in the implementation of the comparative test of mechanical equipment scientific research projects. It makes an objective analysis of the existing implementation mode, finds out the crux of key problems, and puts forward targeted solutions.
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398,903 |
Please write an abstract with title: Model and Validation of the Electromagnetic Interference Produced by Power Transmission Lines in Robotic Systems, and key words: Power transmission lines, Magnetic field measurement, Biological system modeling, Electromagnetic interference, Wires, Poles and towers, Robot sensing systems. Abstract: One of the most difficult tasks for a robotic system is to perform missions in areas with strong electromagnetic fields, such as power plants and high-voltage power lines. These disturbances affect the reading of onboard sensors and can cause the robot to become unstable or create conditions that make the task at hand an unpredictable one. To mitigate this effect, this work aims to model and validate the electromagnetic interference field around a power line to enable prediction. In this approach, the electromagnetic field of the Power Transmission Line (PTL) is considered as a function of its position, electric current and tower topology. With the prediction, it is possible to correct the disturbances measured by the sensors, which facilitates the work of robotic systems at a short distance from electromagnetic sources. To prove the model effectiveness, theoretical and practical results are demonstrated in the study of PTLs.
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398,904 |
Please write an abstract with title: Analysis of network teaching during COVID-19, and key words: COVID-19, Training, Education, Mental health, Market research, Internet, Information management. Abstract: During COVID-19, the network teaching is the general trend. This paper analyzes the differences between the network teaching and the traditional teaching. The research shows that the students are in the leading position in the network teaching, the network teaching solves the problem of classroom capacity, and the network teaching has the advantages of stronger management ability in the classroom. There are also some problems in network teaching. There is a lack of network teaching experience among teachers. It is difficult for teachers to test the effect of teaching. It is difficult for students to adapt to the form of online classes. Long-term online classes are not conducive to the physical and mental health of students. There is a lag phenomenon in online courses. Some suggestions are put forward, such as attaching importance to the training of teachers, improving the teaching effect, improving the students' initiative in learning, reducing the studying time on the Internet and take network capacity into account and arrange online courses appropriately.
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398,905 |
Please write an abstract with title: Deep-submicron design challenges for a dual-core 64b UltraSPARC microprocessor implementation, and key words: Microprocessors, Niobium compounds, Titanium compounds, Computer networks, Computer applications, Random access memory, Process design, Negative bias temperature instability, Coupling circuits, Yarn. Abstract: A processor core, originally designed in a 0.5/spl mu/m Al process, is redesigned for a 0.13/spl mu/m Cu process to create a dual-core processor with 1MB integrated L2 cache, offering an efficient performance to power ratio for compute-dense server applications. Circuit design challenges, including negative bias temperature instability (NBTI), leakage, coupling noise and intra die process variation are discussed.
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398,906 |
Please write an abstract with title: Speech Emotion Identification Using Linear Predictive Coding and Recurrent Neural, and key words: Speech recognition, Logic gates, Emotion recognition, Recurrent neural networks, Feature extraction, Speech processing, TV. Abstract: Social, affective communication in recent years shows significant developments, especially in the verbal understanding of emotions. Human connection naturally adjusts to their responses based on the actions of their interlocutor in a particular matter. Previous research has shown that the use of neural network architecture can identify emotions based on speech, but the results of accuracy are not good due to the imbalance of data and problems with the design of the classification system. This study uses Linear Predictive Coding (LPC). LPC can represent the pronunciation of one's dialogue. From 16 coefficient LPC is used as a vector feature as input for voice emotion identification using Recurrent Neural Network (RNN). Long Short Term Memory (LSTM) or Gated Recurrent Unit (GRU) architecture is used to overcome vanishing or exploding gradient. At the identification stage, that uses forward propagation with a softmax activation function. We have conducted a simulation using RNN as a method for making emotional identification. The results of this study RNNGRU using Adam optimization model with a learning rate of 0.001 get an accuracy of 90.93% and a losses value of 0.216. In comparison, the RNN-LSTM got an accuracy of 87.50% and losses value of 0.262. The experimental results show that the best model is achieved when using the RNN-GRU with the Adam optimization method. The F-Measure value obtained is 0.91.
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398,907 |
Please write an abstract with title: ATLAS level-1 calorimeter trigger: subsystem tests of a Jet/Energy-sum Processor module, and key words: Testing, Prototypes, Mesons, Electrons, Physics, Field programmable gate arrays, Data acquisition, Monitoring, Production, Data communication. Abstract: The ATLAS Level-1 Calorimeter Trigger consists of a Preprocessor, a Cluster Processor (CP), and a Jet/Energy-sum Processor (JEP). The CP and JEP receive digitized trigger-tower data from the Preprocessor and produce trigger multiplicities and total and missing energy for the final trigger decision. The trigger also provides region-of-interest information for the Level-2 trigger and intermediate results of the data acquisition system for monitoring and diagnostics by using Readout Driver modules. The JEP identifies and localizes jets, and sums total and missing transverse energy information from the trigger data. The Jet/Energy Module (JEM) is the main module of the JEP. The JEM prototype is designed to be functionally identical to the final production module for ATLAS and to have the full number of channels. Three JEM prototypes have been built and successfully tested. Various test vector patterns were used to test the energy summation and the jet algorithms. Data communication between adjacent JEMs and all other relevant modules of the JEP has been tested. Recent test results using the JEM prototypes are discussed.
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398,908 |
Please write an abstract with title: Digital Modal Decomposition Based on Stochastic Parallel Gradient Descent Algorithm and its Validation, and key words: Presses, Optimized production technology, Jacobian matrices. Abstract: We present validation study of modal decomposition methodology based on SPGD algorithm. Composite beams of multiple modes with known proportions are generated using SLM and their weights and phases are determined iteratively using SPGD method.
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398,909 |
Please write an abstract with title: Improving the Energy Efficiency of DFT-s-OFDM in Uplink Massive MIMO with Barker Codes, and key words: Measurement, Cellular networks, Codes, Adaptive systems, 5G mobile communication, Transmitters, Massive MIMO. Abstract: The uplink transmission in a single cell Massive MIMO system is studied. Developing Green Communications and achieving uplink energy efficiency is one of the critical targets of 5G cellular communications. The 3GPP recommends the use of the DFT-s-OFDM as the air interface waveform for the uplink transmission in 5G cellular networks. We investigate the performance of DFT-s-OFDM and its energy efficiency during the uplink transmission. To improve its performance we propose a novel DFT-s-OFDM method that employs an adaptive length Barker code as a spreading technique for the uplink transmitted signals. To evaluate the performance of the proposed system (i.e. the system that employs DFT-s-OFDM with an adaptive length Barker code), we use the BER, and Sum-Rate capacity as the performance metrics. In particular, we investigate two different communications channel models; the i.i. d. and the correlated Rayleigh fading channels. The numerical results show that the proposed air interface waveform results in a significant improvement in the uplink energy efficiency for various signal-to-noise ratios.
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398,910 |
Please write an abstract with title: Distributed Nonlinear Shielding in Power Delivery Networks on Printed Circuit Boards, and key words: Resistance, Partial discharges, Conferences, Printed circuits, Voltage, Clamps, Electrostatics. Abstract: Nonlinear shielding from voltage spikes is commonly designed in a one dimensional setting, e.g. on transmission lines, where protection consists of a single lumped voltage clamp. This paper investigates the extension to the two dimensional case, i.e. protection from a voltage pulse between two parallel plates of a PCB. Opposed to the one dimensional case, where the protection is concentrated in a point, for two dimensional case the protection elements are arranged on a curve, creating a nonlinear fence in the two dimensional plane. It is shown that the spacing of the elements on the curve has a strong impact on the shielding effectiveness. Additionally, the effect of resistive losses in the voltage clamps is investigated.
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398,911 |
Please write an abstract with title: Robust Optimization of Power System Stabilizer Parameters Based on Pole Placement, and key words: Damping, Power system dynamics, Power system stability, Telecommunications, Mathematical model, Optimization, Tuning. Abstract: This paper presents a new approach based on pole-placement technique for robust optimization of power system stabilizer (PSS) parameters. The parameters design is formulated as an optimization problem aimed for adjusting all system poles to be in the specific region of s-plane. It is then solved by using the genetic algorithm. The proposed method has been implemented in MATLAB environment and applied to the single machine infinite bus (SMIB) model. The preliminary results from simulation show that the proposed parameter optimization technique can further enhance the power oscillation damping compared to the conventional approach.
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398,912 |
Please write an abstract with title: Evaluation of Nonlinear ARX System Identification Technique on Modeling Crosstalk, and key words: Switching frequency, Electromagnetic interference, Measurement uncertainty, Crosstalk, Pulse width modulation, Data models, System identification. Abstract: Estimating crosstalk appropriately is very important in the process of mitigating electromagnetic interference. This study evaluates a black-box modeling technique named nonlinear autoregressive with exogenous inputs (NARX) on crosstalk modeling application, especially crosstalk due to random pulse width modulation. The model is developed using the input and output data from the measurement as regressor inputs. For validation, the mean squared error of this model is calculated by comparing the model output with the real measurement output. For evaluation, the model performance also was compared to a Spice-based SACAMOS model. Although less flexible than the Spice model, NARX model can represent the signal on the victim cable well with a small mean squared error value.
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398,913 |
Please write an abstract with title: Quality monitoring for injection moulding process using a semi-supervised learning approach, and key words: Training, Computational modeling, Injection molding, Inspection, Semisupervised learning, Predictive models, Feature extraction. Abstract: In mass production, supervised machine learning schemes may not be applicable directly in many cases due to insufficient labelled dataset, especially for failed samples. In this paper, we investigate the feasibility of a semi-supervised approach in a quality monitoring system for plastic injection moulding process using real-time manufacturing data. Due to randomly sampled quality inspection, the obtained dataset consists of only a limited amount of labelled data (8%) while a major portion of the dataset is with unlabelled production data (92%). The work starts with real-time data collection and feature extraction for raw data. Then self-learning and 2-views co-training are investigated for 2 MLP base classifiers. Totally six different approaches are studied to build the predictive quality monitoring model. Self-training and co-training approaches start with supervised training as the baseline. Then, two different pseudo labelling schemes are considered to evaluate their effectiveness to the model’s performance. Also, the feature selection step is repeated for each iteration to ensure top useful features are included. This training loop continues until all unlabelled data samples are shifted to the labelled dataset or the prediction probability drop below an acceptable threshold. Finally, benchmarking is carried out for all 6 approaches in comparison with the baseline model and the validation results strongly support the use of the Co-trained_Top MLP model for the injection moulding quality monitoring application.
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398,914 |
Please write an abstract with title: Single carrier frequency domain equalization for high data rate transmission systems over frequency selective fading channels, and key words: Frequency domain analysis, Fading, Receiving antennas, Transmitting antennas, Data communication, Diversity methods, Frequency diversity, Signal analysis, Frequency estimation, Signal to noise ratio. Abstract: We propose a single carrier frequency domain equalization scheme for data transmission systems with two transmit antennas and two receive antennas. The scheme is shown to achieve the same diversity gains as that of the system with one transmit antennas and four receive antennas at low complexity over frequency selective fading channels. We analyze the impact of channel estimate error on the frequency domain equalization, which is critical when the signal noise ratio is low as in a zero forcing based time domain linear equalization system. Without extra power consumption, system performance can be achieved by channel coding with longer code length. The performance of the proposed scheme is evaluated over block fading Rayleigh distribution channel model. The justification and the performance are demonstrated by numerical simulation.
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398,915 |
Please write an abstract with title: High-speed TCP protocols with pacing for fairness and TCP friendliness, and key words: Protocols, Bandwidth. Abstract: Current TCP congestion control can encounter problems in high-speed wide area networks due to its slow response with a large congestion window. Several congestion control proposals have already been suggested to solve this problem and mainly consider two properties: TCP friendliness and bandwidth scalability, to ensure that a protocol does not take away too much bandwidth from TCP, while utilizing the full bandwidth of high-speed networks. However, further studies on the TCP friendliness of high-speed TCP are still needed. Recent studies have pointed out that existing schemes have a severe RTT unfairness problem, where competing flows with different RTTs can consume considerable unfair bandwidth shares. Burstiness is one of the main reasons behind such problems. As the congestion window achieved by a high-speed TCP connection can be quite large, there is a strong possibility that the sender transmits a large burst of packets. As such, the current congestion control mechanisms of high-speed TCP can lead to bursty traffic flows in high-speed networks, with a negative impact on both TCP friendliness and RTT unfairness. The proposed solution to these problems is to evenly space, or pace packets sent into the network over an entire round-trip time, so that packets are not sent in a burst. Accordingly, the current paper evaluates this approach with a high bandwidth-delay product network and shows that pacing offers better TCP friendliness and RTT fairness without degrading the bandwidth scalability.
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398,916 |
Please write an abstract with title: Channel Characterization of Diffusion-Based Molecular Communication With Multiple Fully-Absorbing Receivers, and key words: Receivers, Transmitters, Drugs, Mathematical models, Channel models, Analytical models, Three-dimensional displays. Abstract: In this paper an analytical model is introduced to describe the impulse response of the diffusive channel between a pointwise transmitter and a given fully-absorbing (FA) receiver in a molecular communication (MC) system. The presence of neighbouring FA nanomachines in the environment is taken into account by describing them as sources of negative molecules. The channel impulse responses of all the receivers are linked in a system of integral equations. The solution of the system with two receivers is obtained analytically. For a higher number of receivers the system of integral equations is solved numerically. It is also shown that the channel impulse response shape is distorted by the presence of the neighbouring FA interferers. For instance, there is a time shift of the peak in the number of absorbed molecules compared to the case without interference, as predicted by the proposed model. The analytical derivations are validated by means of particle based simulations.
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398,917 |
Please write an abstract with title: Local radiotherapy for pleural dissemination of thymic tumors after initial treatment, and key words: thymic tumors, pleural dissemination, local radiation therapy, intensity modulated radiation therapy. Abstract: Pleural dissemination is a common pattern of failure after initial treatment of thymoma and thymic carcinoma, but there is no standardized treatment. As these tumors are relatively radiosensitive, we investigated the effectiveness of radiotherapy. Twenty patients underwent 33 series of local radiotherapy for 96 pleural dissemination lesions after initial treatment. Conventional radiotherapy (CRT), tomotherapy, and combination of the two were employed in 19, 13, and 1 series, respectively. The median follow-up period after the first irradiation for pleural dissemination was 46 months (range, 14–161). For all 20 patients, overall survival (OS) rates from initial radiotherapy for pleural dissemination were 100% at three years and 86% at five years. Progression-free survival (PFS) rates after 33 series of radiotherapy were 30% at three years and 16% at five years. Local control (LC) rates for 96 lesions were 98% at three years and 96% at five years. In-field recurrence was observed in only two among the 96 lesions. One patient (5%) developed grade 3 radiation pneumonitis and another (5%) developed grade 3 pericardial effusion. No other serious adverse events were observed. When disseminated nodules can be covered within localized fields, local radiotherapy may be a treatment option. Using tomotherapy, multiple lesions can be treated safely.
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398,918 |
Please write an abstract with title: Novel collector design for high-speed SiGe:C HBTs, and key words: Heterojunction bipolar transistors, Protection, Fabrication, Ion implantation, Ring oscillators, Delay, CMOS process, Oxidation, Implants, Resistors. Abstract: We describe a novel collector design for high-frequency SiGe:C HBTs without deep trenches and with low-resistance collectors formed by high-dose ion implantation after shallow trench formation. f/sub T/ values of 200 GHz at BV/sub CEO/=2.0 V and ring oscillator delays of 4.3 ps are obtained. Excellent static characteristics and high yield were achieved for the HBT module integrated in a 0.25 /spl mu/m CMOS platform.
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398,919 |
Please write an abstract with title: Triple Mobile Anchors Approach for Localization in WSN, and key words: Sensors, Wireless sensor networks, Software algorithms, Computer science, Global Positioning System, Software engineering, Mathematical model. Abstract: Localization in WSNs provides critical data for decisions when collecting data from wide area spread sensors. Using embedded GPS unit on sensor board is not a cost-effective solution Therefore; researchers have paid more attention to locate sensors in WSNs without using many GPSs units. Several algorithms have been suggested for this purpose. However, they are different in terms of cost and accuracy. This paper is going to suggest a new range-based algorithm called Triple Mobile Anchors for Localization (TMAL). This algorithm is based on three mobile sensors that form a mobile triangle to locate unknown sensors. As other approaches, it uses Receive Signal Strength indicator (RSSI). Besides, the algorithm assumes that the mobile anchors are chargeable to avoid the energy issue. Based on a method known as the Relative Side Coordinates (RSC) the simulation results emphasis of the proposed algorithm compare by RELMA-method1 and RELMA-method 2, the TMAL has good accuracy and low cost. It shows how to control the accuracy based on the area of the mobile triangle.
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398,920 |
Please write an abstract with title: Source-channel coding for algebraic multiterminal binning, and key words: Source coding, Information theory, Communication networks, Channel coding, Decoding, Parity check codes, Sun, Quantization, Collaboration, MIMO. Abstract: This paper addresses practical code design problems for multiterminal communication networks. The basic element of a multiterminal network code is the binning scheme. We aim to develop a unified practical code design paradigm for related problems in multiterminal networks based on source-channel coding for algebraic binning. First, a framework based on Slepian-Wolf coded quantization is highlighted for Wyner-Ziv coding and multiterminal source coding (e.g., the CEO problem). Then, a nested turbo scheme is proposed for Costa coding by exploiting the duality between Costa coding and Wyner-Ziv coding.
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398,921 |
Please write an abstract with title: SOME/IP Intrusion Detection System Using Real-Time and Retroactive Anomaly Detection, and key words: Protocols, Intrusion detection, Real-time systems, Regulation, Classification algorithms, Security, IP networks. Abstract: As the amount of in-vehicle data and number of in-vehicle functions have increased, automotive Ethernet and IP-based protocols have been adopted in vehicles. The scalable service-oriented middleware over IP (SOME/IP) protocol is designed for sending periodic or direct control messages and for updating or appending scalable functions. International regulation UN R-155 requires security monitoring to analyze and detect cyber-threats, vulnerabilities, and cyber-attacks from vehicle data and logs. SOME/IP also should be monitored from the perspective of security. We report a classification of use cases and possible attack patterns for SOME/IP, and we propose an intrusion detection system (IDS) that achieves high accuracy by combining two whitelist-based anomaly detection algorithms. The first is a real-time algorithm that compares received SOME/IP packets with a normal communication model to determine whether they are anomalies. The attack patterns covered in this paper include sophisticated malicious packets that are difficult for the real-time detection algorithm to distinguish from normal packets. Hence, the second algorithm performs retroactive detection by determining whether packets are anomalous from long-term time characteristics spanning an entire SOME/IP session. Although the retroactive algorithm takes longer for detection, we confirm a high level of detection accuracy for the proposed IDS, with a true positive rate of 0.91 and a false positive rate of 0.052.
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398,922 |
Please write an abstract with title: Assessing the average global EMF exposure using mobile network data and measurements, and key words: Base stations, Area measurement, Sociology, Telecommunications, Statistics. Abstract: This paper describes a novel method for assessing average EMF exposure of population in an area using operational mobile network data and measurements, as well as on-site measurements and data from public sources. The aim was to explore network capabilities for future self-assessment and self-optimization concerning generated EMF exposure.
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398,923 |
Please write an abstract with title: Research on Web Log Data Mining Technology Based on Optimized Clustering Analysis Algorithm, and key words: Knowledge engineering, Computers, Cloud computing, Web services, Diversity reception, Clustering algorithms, Web mining. Abstract: With the continuous development and progress of network and information technology, facing the rapid growth of Web service resources, how to obtain the knowledge people need through existing server resources? Web mining technology can realize the mining and discovery of new knowledge from fixed resources. Log mining can discover customer interests and hobbies through Internet users' access behavior, so that the website can provide more humane services. A comprehensive understanding of log mining related technologies is of great help to achieve user clustering. The main analysis of the Web log user clustering in this paper is to establish a user session sequence matrix based on the data preprocessing of the log file, and then perform cluster analysis on it, and finally perform related applications.
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398,924 |
Please write an abstract with title: Formation and structure of epitaxial Fe-films by targets-facing type of sputtering, and key words: Sputtering, Substrates, Diffraction, Electrons, Lattices, Magnetic films, Epitaxial growth, Temperature dependence, Reflection, Crystallography. Abstract: The epitaxial monocrystal Fe-films have first been prepared on the NaCl
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398,925 |
Please write an abstract with title: Introduction of charge transport simulation models that fully consider the ionization process, and key words: bipolar transport, mobility, conductivity of ionization charges, precision model, engineering model. Abstract: Bipolar carrier models for charge transport simulation in polymers have been developed for several years, but rarely consider the effect of ionization charges inside the polymer. In this report, based on the measurement results of actual ionization charges transport by blocking electrode injection, a modified bipolar carrier transport model is proposed, in which the influence of ionization charge is also considered. The model takes into account the recombination between the ionization charges and the injected carriers as well as the secondary ionization of the recombination products and develops a bipolar carrier transport model that fully considers the influence of the ionization charges. For practical engineering purposes, some simplifications are made to the precision model obtaining an approximated engineering model that can be more simply directly used. At the same time, the criterion of whether the engineering model can be used to replace the precision model is given. This work fills a crucial gap in the existing bipolar carrier transport model.
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398,926 |
Please write an abstract with title: Breaking down dualisms in engineering classrooms: how emotions can support engineering problem solving, and key words: Collaboration, Problem-solving, Engineering education, Sustainable development. Abstract: This special session aims to explore, discuss, and deconstruct different dualisms in engineering and engineering education. A broad range of dualisms, such as the rational/emotional, technical/social, and theoretical/practical have strongly influenced engineering education and practice since the 17th century. Engineering education researchers have for a long time raised concerns that these dualisms may deter engineers from taking environmental and social concerns into account when designing new technology, and that they may contribute to excluding certain groups of students from striving to become engineers. Still, the dualisms persist and continue to frustrate engineering educators’ efforts to teach subjects such as human-centered design, holistic problem solving, and sustainability thinking. In this session, we will explore how these dualisms manifest in participants’ classrooms and how they could be challenged. Specifically, participants will engage in collaborative discussions to explore the impacts of dualisms in engineering classrooms. The session will be of particular interest to engineering educators who wish to create more inclusive learning environments where students engage with holistic approaches to engineering.
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398,927 |
Please write an abstract with title: Uninterruptible Power Supply Employing Single-Phase Matrix Converter Topology, and key words: Uninterruptible power systems, Inverters, Rectifiers, Matrix converters, Pulse width modulation, Topology, Switches. Abstract: This paper presents an Uninterruptible Power Supply (UPS) system using a Single-Phase Matrix Converter (SPMC) topology. The proposed UPS system is called UPS- SPMC. In this work, the conversion of Alternating Current (AC) to Direct Current (DC) and vice versa using the proposed UPS-SPMC is investigated. The main objective of this work is to simplify the circuit topology of the UPS system. The SPMC is opted to replace both rectifier and inverter circuits that typically used in UPS systems. Integrated switching algorithms for the proposed UPS-SPMC to work in rectifier-mode (during normal operation) or inverter-mode (during interruption) have been developed in MATLAB/Simulink. Selected simulation results are presented to verify the proposed system.
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398,928 |
Please write an abstract with title: GAME: a Generic Automated Marking Environment for programming assessment, and key words: Automatic programming, Information technology, Java, Feedback, Gold, Postal services, Australia, Electronic mail, Testing, Computer science. Abstract: In this paper, a Generic Automated Marking Environment (GAME) is proposed for assessing student programming projects and exercises with an aim to facilitate student-centred learning. GAME has been designed to automatically assess programming assignments written in a variety of languages. The system has been implemented in Java and contains marker modules that are tailored to each specific language. A framework has been set in place to enable easy addition of new marker modules to extend the system's functionality. Currently, the system is able to mark programs written in Java and the C language. To use the system, instructors are required to provide a simple "marking schema" for any given assessment item, which includes pertinent information such as the location of files and the model solution. GAME has been tested on a number of student programming exercises and assignments providing encouraging results.
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398,929 |
Please write an abstract with title: CTR Prediction Models Considering the Dynamics of User Interest, and key words: Predictive models, Computational modeling, Heuristic algorithms, Feature extraction, Advertising, Neural networks, Prediction algorithms. Abstract: Click-through rate (CTR) prediction is one of the key areas in industrial bidding advertising. Recently, to improve prediction performance, researchers have proposed the interest-based deep models that learn the user’s latent interest from historical click behaviors. However, the interest-based deep models lack the ability to trace the dynamics of interest from both the positive and negative samples, which leading to prediction errors. In particular, user’s interest in candidate advertisements could be positive (i.e. interested) or negative (i.e. uninterested), and changing over time. To solve this problem, we propose a deep-based dynamic interest perception network (DIPN) that can trace both positive interest and negative interest. The proposed DIPN model introduces three new parts to the interest-based deep model: a gated recurrent unit (GRU) learns the implied interest vector from historical click sequences; an attention mechanism improves the expressiveness of interest vector with the weight vector; an interest degree feature scales the weight vector by the d-Softmax function to improve the expressiveness of interest vector. We evaluate the effectiveness of the DIPN model by conducting extensive comparative experiments using real datasets. The experimental results demonstrate that compared with state-of-the-art models, DIPN achieves the highest prediction performance.
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398,930 |
Please write an abstract with title: Laser Ablation Induced Toughness Enhancement in Twin Crystal Copper, and key words: Laser ablation, Grain boundaries, Laser modes, Strain, Mathematical model, Copper. Abstract: Free surfaces and inner defects (such as grain boundary) facilitate initiating of melting. The grain boundary can affect the toughness of polycrystal Copper. In this paper, the melting copper nanoparticles have been studied by a model that combines two-temperature and molecular dynamics methods. After laser ablation, a 45-degree grain orientation presents an unusual toughness behaviour. The higher failure strain of the twin crystal copper with laser ablation than it has not. It can be found that the dislocations and grain boundary interaction paly the main role. It gives a new view that the laser can enhance the toughness of Cu crystal.
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398,931 |
Please write an abstract with title: Thermoelastic damping in fine-grained polysilicon flexural beam resonators, and key words: Thermoelasticity, Damping, Fabrication, Q factor, Frequency, Micromechanical devices, Closed-form solution, Upper bound, Grain size, Silicon. Abstract: The design and fabrication of polysilicon flexural beam resonators with very high mechanical quality factors (Q) is essential for many MEMS applications. Based on an extension of the well-established theory of thermoelastic damping in homogeneous beams, we present closed-form expressions to estimate an upper bound on the attainable quality factors of polycrystalline beam resonators with thickness (h) much larger than the average grain size (d). Associated with each of these length scales is an independent damping mechanism; we refer to them as Zener and intracrystalline thermoelastic damping, respectively. For representative polysilicon beam resonators (h = 2 /spl mu/m; d = 0.1 /spl mu/m) at 300 K, the predicted critical frequencies for these two mechanisms are /spl sim/7 MHz and /spl sim/14 GHz, respectively. The model is consistent with data from the literature in the sense that the measured values approach, but do not exceed, the calculated thermoelastic limit. From the viewpoint of the maximum attainable Q, our model suggests that single-crystal silicon, rather than fine-grained polysilicon, is the material of choice for the fabrication of flexural beam resonators for applications in the gigahertz frequency range.
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398,932 |
Please write an abstract with title: A Unified Approach to Stabilization, Trajectory Tracking, and Formation Control of Planar Underactuated Vehicles, and key words: Trajectory tracking, Mechanical systems, Control design, Time-varying systems, Potential energy, Mobile robots, Vehicle dynamics. Abstract: This paper develops a procedure to design passivity-based controllers for stabilization, trajectory tracking, and formation control of a class of underactuated planar vehicles. The proposed approach uses generalized canonical transformations and energy shaping techniques and offers a framework to design stabilization and trajectory tracking controllers with the same structure. This approach is further applied to multi-agent formation stabilization and tracking problems. The proposed method can be used to solve motion control problems for a class of underactuated planar vehicles with a unified controller structure. As an example, the method is then applied to design controllers for planar mobile robots. Numerical simulations are presented for each case.
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398,933 |
Please write an abstract with title: Analysis on Heating Problem of Dry-type Reactor Earthing System and foundation, and key words: Temperature measurement, Insulation, Grounding, Infrared heating, Current measurement, Heat engines, Iron. Abstract: Regarding the earthing system and foundation heating problem of 66kV dry-type hollow reactor in a 750kV substation ,In order to accurately analyze the reason and take corresponding measures,firstly infrared temperature measurement was used to identify and determine the source of heat, then we replaced the grounding system metal,Analyzed structure of the reactor infrastructure,tested the conducting performance of steel reinforcement inside the foundation,simulated the earthing system of the reactor,analyzed the effects of circulation heating and eddy current heating comprehensively,the causes of heat were identified and corresponding measures were put forward.Finally, it was concluded that the eddy current of the conductive material in the magnetic field was the cause of the heating of the flat iron grounded in the reactor,the heating of the reactor foundation was caused by the metal ring in the raft.
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398,934 |
Please write an abstract with title: Omnidirectional coded planar loudspeaker arrays, and key words: Loudspeakers, Planar arrays, Binary codes, Acoustic measurements, Autocorrelation, Linear code, Educational institutions, Buildings, Acoustic applications, Underwater acoustics. Abstract: The feeding of loudspeaker arrays according to special codes of the Huffman type in order to obtain almost omnidirectional intensity patterns is investigated in this paper. These codes are nonbinary and only six discrete levels are allowed to simplify the array design. The corresponding intensity patterns are shown to result in much better omnidirectional patterns than those resulting by feeding with Barker codes or other trial and error binary codes that were introduced recently. The results have direct applications in underwater arrays, public address systems and accoustical measuring systems.
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398,935 |
Please write an abstract with title: Report from the International Linear Collider Technical Review Committee, and key words: Electron accelerators, Linear accelerators, International Committee, Research and development, System testing, Costs, Production, Particle accelerators, Asia, North America. Abstract: The International Linear Collider Technical Review Committee (ILC-TRC), formed in 1994, was reconvened in February 2001 by the International Committee for Future Accelerators (ICFA) to assess the current technical status of all electron-positron linear collider designs at hand in the world: TESLA, JLC-C, JLC-X/NLC and CLIC. The ILC-TRC worked for exactly two years and submitted its report to ICFA in February 2003. This paper presents the motivation behind the study, the charge to the committee and its organization, a table of machine parameters for 500 GeV c.m. energy and later upgrades to higher energies, the methodology used to assess the designs, and a ranked list of R&D tasks still deemed necessary between now and the time any one of the projects is selected by the HEP community and begins construction. Possible future developments are briefly discussed.
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398,936 |
Please write an abstract with title: A Semantic-Aware Attention and Visual Shielding Network for Cloth-Changing Person Re-Identification, and key words: Cloth-changing person re-identification (ReID), human semantic attention (HSA), semantic-aware, visual clothes shielding (VCS). Abstract: Cloth-changing person re-identification (ReID) is a newly emerging research topic that aims to retrieve pedestrians whose clothes are changed. Since the human appearance with different clothes exhibits large variations, it is very difficult for existing approaches to extract discriminative and robust feature representations. Current works mainly focus on body shape or contour sketches, but the human semantic information and the potential consistency of pedestrian features before and after changing clothes are not fully explored or are ignored. To solve these issues, in this work, a novel semantic-aware attention and visual shielding network for cloth-changing person ReID (abbreviated as SAVS) is proposed where the key idea is to shield clues related to the appearance of clothes and only focus on visual semantic information that is not sensitive to view/posture changes. Specifically, a visual semantic encoder is first employed to locate the human body and clothing regions based on human semantic segmentation information. Then, a human semantic attention (HSA) module is proposed to highlight the human semantic information and reweight the visual feature map. In addition, a visual clothes shielding (VCS) module is also designed to extract a more robust feature representation for the cloth-changing task by covering the clothing regions and focusing the model on the visual semantic information unrelated to the clothes. Most importantly, these two modules are jointly explored in an end-to-end unified framework. Extensive experiments demonstrate that the proposed method can significantly outperform state-of-the-art methods, and more robust features can be extracted for cloth-changing persons. Compared with multibiometric unified network (MBUNet) (published in TIP2023), this method can achieve improvements of 17.5% (30.9%) and 8.5% (10.4%) on the LTCC and Celeb-reID datasets in terms of mean average precision (mAP) (rank-1), respectively. When compared with the Swin Transformer (Swin-T), the improvements can reach 28.6% (17.3%), 22.5% (10.0%), 19.5% (10.2%), and 8.6% (10.1%) on the PRCC, LTCC, Celeb, and NKUP datasets in terms of rank-1 (mAP), respectively.
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398,937 |
Please write an abstract with title: LOMA: Fast Auto-Scheduling on DNN Accelerators through Loop-Order-based Memory Allocation, and key words: Systematics, Runtime, Artificial neural networks, Optimal scheduling, Search engines, Prediction algorithms, Hardware. Abstract: The scheduling or temporal mapping of a neural network (NN) on a given hardware (HW) accelerator strongly impacts its execution energy and latency. Unfortunately the mapping space is huge and varies a lot in function of the NN-HW combination. Many design space exploration (DSE) frameworks aim at automatically exploring this vast mapping space. Yet, SotA frameworks suffer from being slow (e.g. exhaustive search), inflexible across a wide range of HW architectures (e.g. no support for uneven mapping), or can't guarantee global optimality (e.g. from relying on user-defined constraints or on random sampling). Moreover, existing frameworks are typically unable to predict the required CPU run-time and peak CPU memory requirements in advance and as such are unable to trade-off search time with optimality in a deterministic manner. This work proposes LOMA, a fast auto-scheduling methodology through loop-order-based memory allocation, which overcomes above bottlenecks. LOMA's capabilities are demonstrated at scale in finding the optimal schedule of complete MobileNetV3, resp. NASNet.
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398,938 |
Please write an abstract with title: Flip-chip assembly and liquid crystal polymer encapsulation for variable MEMS capacitors, and key words: Assembly, Liquid crystal polymers, Encapsulation, Micromechanical devices, Capacitors, Packaging, Radio frequency, Ceramics, Microelectromechanical systems, Microelectromechanical devices. Abstract: Packaging is a well-known barrier to the advancement of microelectromechanical systems (MEMS) for RF applications. To pave the way for the removal of this barrier, we have developed a flip-chip assembly technology to transfer foundry-fabricated MEMS devices from the host silicon substrate to a ceramic substrate. Specifically, posts have been designed and fabricated to assure excellent RF performance by achieving a precise gap between the device and ceramic substrate. In addition, a novel liquid crystal polymer (LCP) encapsulation technology has been developed to protect the RF MEMS device. LCP is a good encapsulation material for nonhermetic packaging because it significantly reduces the packaging cost. We have demonstrated excellent RF performance of variable MEMS capacitors that have been flip-chip assembled and LCP encapsulated. The quality (Q) factors of such capacitors were measured to be higher than 300 at 1.0 GHz.
|
398,939 |
Please write an abstract with title: Probabilistic Fitting of Glucose Models with Real-Coded Genetic Algorithms, and key words: Uncertainty, Fitting, Predictive models, Probabilistic logic, Glucose, Diabetes, Mathematical model. Abstract: Type 1 Diabetes patients have to control their blood glucose levels using insulin therapy. Numerous factors (such as carbohydrate intake, physical activity, time of day, etc.) greatly complicate this task. In this article we propose a modeling method that will allow us to make predictions of blood glucose level evolution with a time horizon of 24 hours. This may allow the adjustment of insulin doses in advance and could help to improve the living conditions of diabetes patients. Our approach starts from a system of finite difference equations that characterizes the interaction between insulin and glucose (in the field, this is known as a minimal model). This model has several parameters whose values vary widely depending on patient characteristics and time. Thus, in the first phase of our strategy, We will enrich the patient's historical data by adding white Gaussian noise, which will allow us to perform a probabilistic fitting with a 95% confidence interval. Then, the model's parameters are adjusted based on the history of each patient using a genetic algorithm and dividing the day into 12 time intervals. In the final stage, we will perform a whole-day forecast from an ensemble of the models fitted in the previous phase. The validity of our strategy will be tested using the Parkers' error grid analysis. Our experimental results based on data from real diabetic patients show that this technique is capable of robust predictions that take into account all the uncertainty associated with the interaction between insulin and glucose.
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398,940 |
Please write an abstract with title: Multi-scale Defect Detection from Subway Tunnel Images with Spatial Attention Mechanism, and key words: Image segmentation, Maintenance engineering, Public transportation, Consumer electronics. Abstract: With the development of modern transport systems, larger-scale subway tunnels are constructed worldwide. After the construction, maintenance becomes an important issue. Due to the limitations of the check time and the complex environment, it is required to detect defects accurately and efficiently. In subway tunnels, the main defects are cracks (small defects) and water leakage (large defects), which are hardly to achieve high precision detection for both. In this paper, we propose a new multi-scale defect detection network based on HRNet to solve this problem. We applied an atrous spatial pyramid pooling module and a spatial attention module to improve the capacity of defect detection. Through the experiments, we verify the effectiveness of our method.
|
398,941 |
Please write an abstract with title: Sensor Fault Tolerant Control for Hybrid Systems With Sinusoidal Disturbance, and key words: Switches, Control systems, Estimation, Switched systems, Additives, Robot sensing systems, Linear matrix inequalities. Abstract: This paper aims to design of an active fault-tolerant control AFTC of switched systems in the presence of sensor fault and periodic disturbances. AFTC requires sensor fault estimation. Thus, a data-based projection approach is proposed based on performance measures that allow fault estimation without relying on mathematical models and fault assumptions. A new switching control strategy is proposed for fault compensation and recovering the desired performances. These techniques integrate a bank of controllers, corresponding to a set of partial models to design a set of switching control laws, compensating for the fault effect and attenuating the disturbance. A new linear matrix inequality (LMIs) based on Lyapunov stability analysis is proposed to compute control gains. This technique allows finding the optimal values of the control gains matrices, which ensure both sensor fault compensation and disturbance attenuation. A comparative study of the proposed strategy with existing work is carried out to show the effectiveness of the designed fault-tolerant control.
|
398,942 |
Please write an abstract with title: Arima analysis for time series of atmospheric pollutants: geographical distribution and extreme episodes, and key words: Atmospheric modeling, Monitoring, Media, Biological system modeling, Urban areas, Predictive models, Analytical models. Abstract: In this study, time series of PM2.5, PM10 and O3 in the city of Bogotá (Colombia) were analyzed using ARIMA models, to evaluate their geographical distribution and determine activation periods of extreme episodes of air pollution. The geographic behavior of pollutants was studied from the ARIMA structure and atypical concentration values were detected, which were analyzed with respect to Colombian regulations and climatic conditions that could favor their occurrence. The models suggest a sectorization of pollutant concentration levels in the city (north, center and south). The periods with the highest susceptibility to exceedances on a daily level are recorded between 6-10 a.m. for PM2.5-10 and between 11 a.m.-4 p.m. for O3. These episodes are presented in January, February and March. The direction of the wind coming from the southwest of the city has the greatest influence on pollution episodes.
|
398,943 |
Please write an abstract with title: Biomechanics of Professional Pathology of the Spine in Operators of X-ray Cargo-Vision Systems, and key words: Biomechanics, Pathology, Image analysis, Machine vision, Computational modeling, Biological system modeling, Inspection. Abstract: The article considers the biomechanical aspects of the development of professional pathology of the spine in operators of image analysis of inspection and screening complexes. Much attention is paid to the influence of the professional activity of this category of personnel on the formation of intervertebral hernias and osteochondrosis of the spine.
|
398,944 |
Please write an abstract with title: Dynamical modelling of a hyper-flexible manipulator, and key words: Manipulator dynamics, Kinematics, Spine, Vectors, Computational geometry, Lagrangian functions, Orbital robotics, Defense industry, Robot control, Legged locomotion. Abstract: In this paper, a three-dimensional dynamics model of a hyper-flexible manipulator like a string is derived based on a slice of the arm, which is regarded as a rigid link with an infinitesimal width of a serial rigid chain manipulator. We show the model in three forms familiar in the theory of robot control: Newton-Euler, Lagrange and regressor representations.
|
398,945 |
Please write an abstract with title: Algorithm of Automated Construction and Search for the Best Layouts of Distribution Devices of 35 kV Substations and Above, and key words: Substations, Layout, Software algorithms, Search problems, Reliability engineering, Tires, Software. Abstract: This work is devoted to the creation of an automated design system for designing open distribution devices. The main task that is solved by this system is the search for the best layout option of the scheme from the point of view of saving the area of the territory. The paper proposes an approach to form distribution device circuit breakers and the effectiveness of the occupied area. When searching for solutions, the efficiency coefficient of occupied area is used, which makes it possible to get away from the cost indicators. An example of calculation and obtained during the study of the efficiency coefficients for various layouts of schemes with tires are given. The work is made in the original software product of the wrench CAD.
|
398,946 |
Please write an abstract with title: Event Extraction from Telugu-English Code Mixed Social Media Text, and key words: Codes, Social networking (online), Text recognition, Semantics, Speech recognition, Media, Natural language processing. Abstract: Natural Language Processing Event Extraction work is crucial. Social media has become increasingly significant in today's world. Using natural language, people can express their views on a wide range of topics on social media. Social Media tools popularized the devices among the masses making the information distribution faster and easier. The exchange of text is the most popular means of communication across social media users. It had become necessary to understand the semantics of messages communicated as the messages had a wide effect across the users. Event extraction means extracting the events across streams of the social media messages. Event extraction helps in taking corrective actions in case of natural calamities and hence possibly save the lives of many people. The major objective of the task is to draw specific knowledge to predict the events(incidents) specified in the code-mixed digital text. This paper proposes a two-step procedure for the extraction of the events. The first phase is by applying a binary classifier to identify the messages containing the event. The second phase is by applying a sequence labeling technique, conditional random fields (CRF), to extract the event from the message. As social media text is a bit noisy, it is a major challenge to develop learning algorithms for these tasks. Parts of Speech (POS) tags and Named Entity Recognition (NER) are used for the words to address some issues in this challenge.
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398,947 |
Please write an abstract with title: Electrostatic micro-shutter array for infrared spectrograph, and key words: Electrostatics, Infrared spectra, Voltage, Optical arrays, Telescopes, Spectroscopy, Observatories, Silicon on insulator technology, Bars, Etching. Abstract: We report an electrostatic micro shutter array for astronomical telescopes for parallel processing infrared spectroscopy of multiple celestial objects using bulk-micromachining of silicon-on-insulator wafers. Successful operation of micro torsion shutter to a 90-degree-deflection has been demonstrated with applied voltages of up to 95 V DC
|
398,948 |
Please write an abstract with title: Digital phonocardiography: a PDA-based approach, and key words: Heart, Signal analysis, Signal processing algorithms, Algorithm design and analysis, Biomedical measurements, Frequency, Performance analysis, Digital signal processing, Signal processing, Spectral analysis. Abstract: In this paper we demonstrate the applicability of advanced digital signal processing algorithms to the analysis of heart sound signals and describe the development of a PDA-based biomedical instrument capable of acquisition, processing, and analysis of heart sounds. Fourier transform-based spectral analysis of heart sounds was carried out first to show the differences in the frequency contents of normal and abnormal heart sounds. As the time-varying nature of heart sounds calls for better techniques capable of analyzing such signals: the short time Fourier transform (STFT) or spectrogram analysis was performed next. This method performed remarkably well in displaying frequency, magnitude, and time information of the heart sounds, providing robust parameters to make accurate diagnosis. With continuous technological advancements in computing and biomedical instrumentation, and the concurrent popularity of handheld instruments in the medical community, we introduce the concept of PDA-based digital phonocardiography. A prototype system is comprised of a digital stethoscope and a pocket PC. Heart sounds are recorded and displayed in the pocket PC screen. Advanced signal processing algorithms are implemented using the combined capabilities of software tools such as LabVlEW and embedded Visual C/sup ++/.
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398,949 |
Please write an abstract with title: Inventory Management with Disruption Risk, and key words: Uncertainty, Storms, Supply chains, Stochastic processes, Production, Robustness, Chemicals. Abstract: Initiatives like lean manufacturing, pooling, and postponement have been effective in mitigating the cost-service trade-off by maintaining high levels of service while reducing system inventories. However, such initiatives exacerbate supply chain disruptions during a catastrophic event, thereby creating a new trade-off between robustness during disruptions and efficiency during normal operations. We evaluate stocking decisions in the presence of operational disruptions, which represent different risks from those associated with demand uncertainties as they stop production flow and typically persist longer. Operational disruptions can therefore be much more devastating though their likelihood of occurrence may be low. Using stochastic simulation, we combine the newsvendor and order-up-to models capturing demand uncertainty costs with catastrophe models capturing not only the cost of supply disruption, but also the cost of recovery, to obtain insights for managing inventory under disruption risk.
|
398,950 |
Please write an abstract with title: Multi-Images Encryption Scheme Based on 3D Chaotic Map and Substitution Box, and key words: Encryption, Three-dimensional displays, Chaotic communication, Trajectory, Security, Histograms, Neurons. Abstract: The protection of digital content is increasingly becoming a significant issue for researchers and engineers. In this context, nonlinear dynamic systems play a vital role in information security through their chaotic behavior and susceptibility to initial conditions. This research presents a 3D chaotic map-based symmetric algorithm for multiple images to improve encryption efficiency and encourage secure transmission. The proposed scheme comprises the following four modules: the combination (the images are combined into a single image by merging their color channels); the permutation (using the suggested 3D chaotic map); the S-box generation; and the substitution through the AES substitution method. The proposed algorithm’s encryption strength was determined through Entropy, Correlation coefficient, NPCR, and UACI analyses, which were then compared to the past techniques. Furthermore, the proposed method is assessed in terms of its computation time. Results demonstrate that it is highly efficient and secure for real-time communication.
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398,951 |
Please write an abstract with title: Age Estimation from Facial Images Using the YOLO Algorithm, and key words: Age estimation, Facial images, Computer vision, Predict, Facial features. Abstract: A computer vision task called “age estimation based on facial images” seeks to estimate a person's age by examining their facial features. It has drawn a lot of interest because of its possible applications in numerous industries. In this research work, a novel approach based on YOLO Algorithm is proposed to solve age estimation. To implement age estimation using YOLO, the algorithm needs to be trained on a dataset that contains annotated images with corresponding age labels. During training, the YOLO network learns to detect facial features and extract relevant information related to age, such as wrinkles, skin texture, and facial expressions. Once trained, the YOLO algorithm can be used to estimate the age of individuals in new images. It analyzes the image and applies regression techniques to predict the age range of each detected face. The output can be a set of predefined age groups or a continuous numerical value representing the estimated age. The trained model is then tested against a validation dataset, and measures like mean absolute error and mean squared error are used to gauge how well it performed. The model can be used to determine the age of fresh facial photos after it has been validated. Experiments are conducted on the app a-real dataset and results are found to be better than current state of art techniques.
|
398,952 |
Please write an abstract with title: A novel approach for indoor geometric OFDM quality-of-service analyses, and key words: OFDM, Quality of service, AWGN, Wireless LAN, Interference, Bit error rate, Signal generators, System performance, Digital video broadcasting, Solid modeling. Abstract: This paper introduces a novel method for the indoor orthogonal frequency division multiplexing (OFDM) quality of service (QoS) analyses. We focus on an automatic geometry-driven approach to quantify the indoor OFDM performance through off-site computer-aided procedures. Essential OFDM quality-of-service measures, such as signal-to-interference ratios (SIR) and bit error rates (BER) can be generated by this new analysis tool. The resulting QoS measure contours can be used by service providers and OFDM communication system designers to quantify the system performance and determine the optimal accessing locations for an indoor geometry.
|
398,953 |
Please write an abstract with title: Concept Study of Future Land Observation Satellite Techniques when Utilizing Khatri-Rao (KR) Product Array Processing, and key words: Arrays, Satellites, Synthetic aperture radar, Artificial intelligence, Array signal processing, Antenna arrays, Signal resolution. Abstract: Future satellite SAR (SAT-SAR) will be required to provide more value-added observations in addition to constellation services. The SAT-SAR and sub-missions will need to be more sophisticated. This paper proposes applying KR product array processing to Digital Beam Forming (DBF) and synthetic aperture processing for the azimuth of the SAT-SAR. This paper presents the initial results of simulations for both high resolution and wide swath with about twice the Rx effective aperture length.
|
398,954 |
Please write an abstract with title: Design of a Channel Diplexer for Millimeter-Wave Applications, and key words: Millimeter wave technology, Bandwidth, Propagation losses, Rectangular waveguides, Circuit synthesis, Millimeter wave measurements, Electric variables measurement, Band pass filters, Cutoff frequency, Resonance. Abstract: The design of millimeter-wave filters is, in principle, no different from the design of conventional waveguide filters. In practice, however, several factors impose limitations on the choice of the filter structure. As a result, new filter structures must be used requiring new synthesis techniques for their design. In this paper, a new channel diplexer structure is described and a synthesis technique for its design is given. The expected electrical performance of the filter, designed using the proposed technique, is verified by measuring the performance of a scaled filter model centered at 3.95 GHz. The results of these measurements are given. The design procedure is also applicable to other waveguide filter structures.
|
398,955 |
Please write an abstract with title: Recent Advances in Power Domain Multiplexing /Access for Flexible Optical Access Network, and key words: Multiplexing, Integrated optics, NOMA, Bibliographies, Passive optical networks, Optical modulation, Task analysis. Abstract: This paper mainly focuses on the significant research interests of the PDM/PDA PON in terms of nonorthogonal multiple access, hierarchical modulation and nonuniform PAM. In addition, the brief reviews of some challenging areas are summarized.
|
398,956 |
Please write an abstract with title: Smart Reader for Visually Impaired, and key words: OpenCV, Tesseract, Text-to-speech (TTS), Image-to-Text, Optical Character Recognition (OCR), Speech output, Raspberry pi.. Abstract: The World Health Organization estimates that 287 million of the 9.2 billion people on the planet are blind. They still struggle to complete their daily tasks, so it is important to take the necessary steps with the help of new technology. It is intended to be able to read and read written text. Such inventions provide a solution to motivate visually impaired students to complete their education despite the difficulties. Its main goal is to develop new ways for blind people to read texts and facilitate their communication. The reader’s first task is to scan text images, convert them to spoken text, and listen to the audio through headphones or speakers connected to the reader. Text in images was recognized using Optical Character Recognition (OCR) technology with OpenCV and Tesseract. Text-to-speech (TTS) technology was used to convert text to speech. However, the reader has some drawbacks, such as: Only English is supported, and the minimum font size to capture images is 16. In the future, it is possible to support multiple languages and improve the design.
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398,957 |
Please write an abstract with title: Anomaly detection based on an iterative local statistics approach, and key words: Iterative methods, Statistics, Shape, Sonar detection, Clutter, Space technology, Iterative algorithms, Sonar applications, Radar detection, Sea surface. Abstract: We introduce an iterative anomaly detection algorithm. The algorithm is based on an iterative characterization of the clutter in a feature space of principal components, and a single hypothesis scheme for the detection of anomalous pixels. The iterative procedure gradually reduces the false alarm rate while maintaining a high probability of detection. Morphological operators are subsequently employed for extracting the sizes and shapes of anomalous clusters in the image domain, and identifying potential targets. Experimental results demonstrate the robustness of the proposed approach with application to sea-mine detection in sonar imagery.
|
398,958 |
Please write an abstract with title: Design of Cost-Aware Open-Loop Controller For Non-Linearity Compensation Without Embedded Sensors Using Computer Vision, and key words: open-loop controller, differential robot, identification process, nonlinearity compensation, third-person. Abstract: This paper presents a methodology of identification to dynamic modeling for designing an open-loop controller that linearizes the relationship between linear and angular velocities, in the stationary state, of a differential robot with respect to motor speed commands. The proposed approach is particularly valuable to make a nonlinearity compensation for low-cost robots that lack onboard sensing capabilities. By utilizing visual measurements obtained from cameras, i.e. third-person, the sensorless identification process enables the design of an open-loop controller without the need for embedded sensors. This cost-effective solution facilitates the application of linear dynamic controllers in robotic systems where precise control and linear dynamics are required, even in scenarios with limited resources. The proposed methodology offers a practical and accessible solution for enhancing the capabilities of low-cost robots and expanding their range of applications.
|
398,959 |
Please write an abstract with title: Analysis of a novel boundary conduction mode (BCM) and voltage control of buck capacitor in single-stage PFC circuit, and key words: Voltage control, DC-DC power converters, Reactive power, Power factor correction, Stress control, Switched capacitor circuits, Switching circuits, Switches, Circuit stability, Equations. Abstract: In single stage, power factor correction circuits, the high voltage of the bulk capacitor is a common problem. This paper analyses the reason for this problem and then proposes a novel boundary conduction mode (BCM) of PFC circuit to solve the problem. Based on the analysis of the boundary point of the PFC converter and the DC-DC converter, the analytic formulation of the working principle of the BCM is obtained and the control method to decrease the high voltage of the bulk capacitor is presented. The circuit uses a common IC to realize the high power factor, control the voltage of the capacitor, decrease the stress of the switches and increase the stability of the circuit. In this paper, the equation for the power factor of the circuit based on the analysis of the distortion of the input current is derived. Finally, the circuit performance was verified experimentally
|
398,960 |
Please write an abstract with title: Understanding and Getting Involved in NFPA's Standards Development Process: Copyright Material IEEE Paper No. ESW-2021-18, and key words: Conferences, Electrical safety, Organizations, Regulation, NFPA, Standards. Abstract: Standards developed by the National Fire Protection Association (NFPA) are a very important source of information for electrical safety programs and safe electrical installations for a very large number of individuals and organizations. They are widely used by many countries around the world. NFPA 70®, National Electrical Code®, (or NEC®), and NFPA 70E®, Standard for Electrical Safety in the Workplace® are two more commonly known examples, although there are many others. NFPA has a well-established process for the development of new standards and for periodic review and revision of existing ones. Understanding this standards development and revision process is important to everyone involved with electrical safety. It follows a defined set of rules and regulations that moves the standards through the process, and that also encourages participation from members of the public. Most people are not aware of what this process is, or that it encourages public participation. The process is open to anyone and the more involvement from affected individuals, the better the resulting standards. Everyone has their own knowledge, experiences and expertise. All are valuable and should be included in the process. The objective of this paper is to increase a person's knowledge of the process, including explaining how anyone can get involved and encouraging them to do so.
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398,961 |
Please write an abstract with title: Herbrand constraint abduction, and key words: Equations, Australia, Logic programming, Databases, Query processing, Algebra, Concrete. Abstract: In this paper we explore abduction over the Herbrand domain - equations on the algebra of finite terms (or finite trees) - which is a central element of logic programming and first-order automated reasoning. This paper is a case study of constraint abduction in the Herbrand domain. The direct relationship between Herbrand constraint abduction and type inference outlined above should make it easy to interpret the results of this paper in the context of type inference.
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398,962 |
Please write an abstract with title: Power Allocation Strategy of Untrusted Relay Network Based on Stackelberg Game, and key words: Wireless networks, Simulation, Heuristic algorithms, Games, Relay networks (telecommunication), Dynamic scheduling, Resource management. Abstract: In wireless communication systems, relay can improve the communication quality and increase communication distance. However, most of the current researches treat the relay node as a selfless node, and seldom pay attention to the individual needs and fairness. To address this issue, in this paper, we study power allocation scheme based on Game theory in untrusted relay networks. The model price incentive mechanism based on Stackelberg Game is used to solve the power allocation problem, which aims to achieve active participation assistance of relay and reduce the system signaling overhead. Meanwhile, the convergence of the algorithm is also analyzed. The simulation results show that compared with the existing fixed allocation methods, the power allocation based on this scheme has better destination node utility and global maximum secrecy rate. Moreover, we find that the dynamic power allocation strategy based on Stackelberg Game scheme is more suitable for dynamic scenes, which only rely on the imperfect channel state information.
|
398,963 |
Please write an abstract with title: A parallel tabu search approach based on genetic crossover operation, and key words: Genetics, Traveling salesman problems, Large-scale systems, Costs, Information science, Electronic mail, Engineering management, Cities and towns, NP-complete problem, Very large scale integration. Abstract: TS (tabu search) is one of the meta-heuristic algorithms that can solve the combinatorial optimization problems, which is NP-hard such as TSPs (traveling salesman problems), satisfied. With the requirement of solving large-scale problems, we proposed a new parallel tabu search (PTS) approach, which was cooperated with genetic crossover operation for TSPs. In addition, a novel adaptive search strategy of intensification and diversification was proposed to improve the solution quality and efficiency in TS. Taking TSPs as sample, some simulation experiments were implemented. It was shown that our proposed PTS approach was feasible and effective.
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398,964 |
Please write an abstract with title: Analysis of the influence of SOFC degradation on system State and performance, and key words: Degradation, Temperature distribution, Analytical models, Automation, Fuel cells, Solids, Data models. Abstract: Solid oxide fuel cell (SOFC) is a promising energy conversion technology because of its high efficiency, low emission and fuel adaptability. As there are many degradation mechanisms that affect the operating life of SOFC, and the internal state is difficult to measure, analyzing the specific relationship between the critical states which is easy to observe and system degradation is an important prerequisite for timely and effective evaluation of system health. In this paper, based on the established SOFC degradation model, then it is analyzed from two aspects: system mechanism and data characteristics, stack average temperature, stack temperature gradient and fuel utilization of three critical states affecting system degradation are determined, their effects on system degradation are analyzed comprehensively, and the competitive relationship between system efficiency and system life is analyzed based on the data. The average temperature, temperature gradient and fuel utilization of three key states affecting system degradation are determined, their effects on system degradation are analyzed comprehensively, and the relationship between system efficiency and system life is analyzed based on the data, which provides a basis for further optimizing the operation of the system with high performance and long life.
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398,965 |
Please write an abstract with title: Compliant Grasping Control for Apple Harvesting Robot End-effector, and key words: Force, Impedance, Strain, Acceleration, Tuning, Simulation, Robots. Abstract: In order to achieve compliant picking of apple, a modified impedance control method for apple picking robot end-effector is put forward in this study. In the beginning, Burgers model served to represent the rheological properties of apples and to further study the biological characteristics of force and deformation of apple under gripping. Then, a force-based impedance control system is devised to realize force tracking. Based on this, the function of impedance coefficients self-tuning is constructed to achieve the purpose of adaptive adjustment. The simulation results demonstrate that the parameter selftuning impedance control has a good control effect. The contact force obtained can track the desired force quickly and the force error is small.
|
398,966 |
Please write an abstract with title: Design and demonstration of a reconfigurable metro-regional WDM 32 /spl times/ 10 Gb/s system scaling beyond 500 kin of G.652 fiber, and key words: Wavelength division multiplexing, Optical filters, Optical sensors, Optical fiber networks, Optical add-drop multiplexers, Optical noise, Optical fiber communication, System performance, Stimulated emission, Costs. Abstract: We demonstrate a industrial-strength 32 /spl times/ 10 Gb/s WDM system with multiple reconfigurable optical-add/drop nodes that enables metro regional networks to cost-effectively scale to < 500 km with span and installation/maintenance flexibility.
|
398,967 |
Please write an abstract with title: Sensitivity increase of silicon nitride ring resonator biosensor operated in the TM mode at 1310 nm, and key words: Sensitivity, Surface waves, Conferences, Biological system modeling, Silicon nitride, Lab-on-a-chip, Biosensors. Abstract: In this work, we demonstrate photonic biosensing using silicon nitride ring resonators operated in the TM mode around 1310 nm wavelengths. This results in an increased sensitivity in comparison with the typically used TE mode.
|
398,968 |
Please write an abstract with title: A Dual-input Multi-label Classification Approach for Non-Intrusive Load Monitoring via Deep Learning, and key words: Conferences, Artificial neural networks, Artificial intelligence, Monitoring, Feature extraction, Smart grids, Information processing. Abstract: Non-intrusive load monitoring (NILM) is the process of obtaining appliance-level data from users' total electricity consumption data. These data can be of great benefit, especially in demand response applications. In this paper, a multi-label classification for NILM based on a two-input gated recurrent unit (GRU) is presented. Since the presented method is designed with a multi-label approach, great savings in training time are achieved. While a separate model is trained for each appliance in the literature, only one model is trained in the proposed model. Besides, the model was trained using two different inputs. The first is the total active power value consumed by the whole house. The second input is the Spikes obtained by analyzing this active power consumption. Simply put, spikes are obtained by analyzing the instant power changes in active power. Both inputs are evaluated with a convolutional layer and necessary features are extracted. Obtained features are fed into the GRU to be able to analyze time-dependent changes. The simulation results show that an additional input can slightly improve the analysis accuracy. Besides, it was found that the second input is useful especially in the analysis of short-term devices.
|
398,969 |
Please write an abstract with title: Decentralized Resource Management and Fault-Tolerance for Distributed CORBA Applications, and key words: Fault tolerance, Fault tolerant systems, Monitoring, Real time systems, Fault detection, Libraries, Peer to peer computing. Abstract: Assigning an application’s fault-tolerance properties (e.g., replication style, checkpointing frequency) statically, and in an arbitrary manner, can lead to the application not achieving its target resilience and performance. The resource management infrastructure that we have developed transparently determines a CORBA application’s resource usage and its rate/pattern of invocation across a distributed system. Using this information, our infrastructure makes more informed decisions about the application’s fault-tolerance properties, and dynamically adapts these decisions, as faults occur, and as resources are added and removed from the system. We have designed our prototype to be decentralized so that it is scalable and does not itself constitute a single point of failure.
|
398,970 |
Please write an abstract with title: Exploring Smart Grid Time-of-Use Tariffs using a Robust Optimisation Framework, and key words: Optimization, Smart meters, Uncertainty, Smart grids, Electricity supply industry, Robustness, Pricing. Abstract: This paper describes a study in Smart Grid Tariff Design. We use historic Smart Meter electricity usage data and Representative Load Profiles (RLPs) to explore Time-of-Use (ToU) tariffs. We consider the problem from the perspective of a supplier who wishes to set tariffs to maximise revenue, and has to anticipate responses from consumers who wish to minimise their costs. This is a typical bilevel optimisation problem, but with additional challenges as consumers have uncertain electricity usage. We create test RLP instances using historical Smart Meter data and demonstrate the use of a robust optimisation framework to address uncertain usage patterns. Our modelling and optimisation approach offers a framework for suppliers, system operators and innovators to explore and evaluate potential ToU market offerings.
|
398,971 |
Please write an abstract with title: Dynamic Facility Layout Problem Using Chemical Reaction Optimization, and key words: Layout, Heuristic algorithms, Optimization, Indexes, Planning, Matrix converters, Linear programming. Abstract: In this paper, a renowned meta-heuristic algorithm named chemical reaction optimization (CRO) is applied to solve the Dynamic Facility Layout Problem (DFLP). DFLP is an NP-hard problem. This work employed chemical reaction optimization to optimize the total manufacturing cost in economic sight. Chemical reaction optimization is a population based meta-heuristic algorithm. CRO is applied to DFLP by redesigning its basic operators and designing two new additional operators to get optimal results. The two additional operators are selection and repair operators. The proposed algorithm based on CRO is tested on a benchmark dataset and compared with other algorithms. The experimental results show that our proposed method gives better results than other algorithms in terms of minimization of cost.
|
398,972 |
Please write an abstract with title: Compensated methods for networked control system with packet drops based on compressed sensing, and key words: Prediction algorithms, Networked control systems, Compressed sensing, Systems engineering and theory, Simulation, Sensors, Scheduling. Abstract: Due to unreliable and bandwidth-limited characteristics of communication link in networked control systems, the real-time compensated methods for single-output systems and multioutput systems are proposed in this paper based on the compressed sensing (CS) theory and sliding window technique, by which the estimates of dropping data packets in the feedback channel are obtained and the performance degradation induced by packet drops is reduced. Specifically, in order to reduce the cumulative error caused by the algorithm, the compensated estimates for single-output systems are corrected via the regularization term; considering the process of single-packet transmission, a new sequential CS framework of sensor data streams is introduced to effectively compensate the dropping packet on single-channel of multi-output systems; in presence of the medium access constraints on multi-channel, the communication sequence for scheduling is coupled to the algorithm and the estimates of the multiple sensors for multi-output systems are obtained via the regularization term. Simulation results illustrate that the proposed methods perform well and receive satisfactory performance.
|
398,973 |
Please write an abstract with title: Application Exploration of Immersive Teaching Method in Medical Experiment Teaching, and key words: Computer science, Costs, Education, Mixed reality, Games, Information technology. Abstract: With the comprehensive development of science technology and information technology, more intelligent enjoyment has been provided to our life, including education. For example, multimedia teaching method, which makes the boring class lively, flexible and interesting, thus improving the teaching efficiency. However, medical experimental teaching is still dominated by traditional teaching. In view of the problems such as insufficient supply of experimental equipment, high cost of experimental supplies and low learning status of students in traditional teaching, this paper proposes an immersive medical experiment teaching method based on immersive interaction design in college students' medical experiment teaching, so as to optimize students' learning experience.
|
398,974 |
Please write an abstract with title: Automatic Generation of Heterogeneous SoC Architectures With Secure Communications, and key words: Task analysis, Security, Hardware, Computer architecture, Data transfer, Processor scheduling, Ant colony optimization. Abstract: Heterogeneous multiprocessor system-on-chip (MPSoC) architectures allow designers to achieve energy efficiency and high performance, especially when tailored for the target applications. This specialization requires to select the MPSoC components and define their interconnections (on the architecture side), and also to determine the mapping and scheduling of tasks and communications (on the application side). This problem is exacerbated by the growing privacy and security concerns when these architectures elaborate sensitive data. We propose a co-design solution based on ant colony optimization that also protects the exchange of private data among components. Our solution generates architectures with secure communications with systematically better performance than architectures with predefined security solutions.
|
398,975 |
Please write an abstract with title: A hybrid machine learning model for sales prediction, and key words: Training, Support vector machines, Human computer interaction, Computational modeling, Machine learning, Predictive models, Feature extraction. Abstract: Accurate sales forecasting models can help retailers develop more appropriate business plans. This paper is based on the LightGBM framework and the XGBoost framework to build a sales forecast model. First, two models were built separately based on these two frameworks. Then we assigned weights based on the prediction results of these two models and performed model integration. The integrated model has the characteristics of the two models at the same time, and shows better predictive ability. Before training the model, a large amount of data needs to be preprocessed first, so feature engineering is required in this article. First, we delete some functions that are not related to model input. Then the features are extracted and classified to obtain the mean, standard deviation and other statistics of some features. Experimental results show that the RMSE of this method is 2.07, which is significantly better than the two models before the integration. The RMSE of the model based on LightGBM is 2.09, and the RMSE of the model based on the xgboost framework is 2.11.
|
398,976 |
Please write an abstract with title: Analysis of Chipless RFID Tags Based on Circular-SRR and Koch Snowflake Fractal for Space-Reduction and Bit-Coding Improvement, and key words: Radar cross-sections, Optical resonators, Resonant frequency, Production, Tagging, Radar tracking, Fractals. Abstract: Chipless Radio Frequency Identification (RFID) has established itself as one of the prominent techniques for identifying and detecting objects. Unlike optical barcodes, tagging technology does not need line-of-sight communication. The design and analysis of chipless RFID transponders using the circular Split-Ring Resonator (SRR) and the Koch snowflake fractal of the third iteration are discussed in this work. The Radar Cross Section (RCS) and frequency coding approaches are studied, as well as a comparison, demonstrating key characteristics of the transponders such as physical footprint and spatial densities are investigated. As a result, tag production costs are reduced. The maximum RCS are found to be -22.24 dBsm and -25.6 dBsm for transponder 1 and 2 respectively.
|
398,977 |
Please write an abstract with title: Learning-Assisted Eavesdropping and Symbol-Level Precoding Countermeasures for Downlink MU-MISO Systems, and key words: Precoding, Security, Interference, Receivers, Machine learning, MISO communication, Downlink. Abstract: In this work, we introduce a machine-learning (ML) based detection attack, where an eavesdropper (Eve) is able to learn the symbol detection function based on precoded pilots. With this ability, an Eve can correctly detect symbols with a high probability. To counteract this attack, we propose a novel symbol-level precoding (SLP) scheme that enhances physical-layer security (PLS) while guaranteeing a constructive interference effect at the intended users. Contrary to conventional SLP schemes, the proposed scheme is robust to the ML-based attack. In particular, the proposed scheme enhances security by designing Eve’s received signal to lie at the boundaries of the detection regions. This distinct design causes Eve’s detection decisions to be based almost purely on noise. The proposed countermeasure is then extended to account for multi-antennas at the Eve and also for multi-level modulation schemes. In the numerical results, we validate both the detection attack and the countermeasures and show that this gain in security can be achieved at the expense of only a small additional power consumption at the transmitter, and more importantly, these benefits are obtained without affecting the performance at the intended user.
|
398,978 |
Please write an abstract with title: Requirements for the Client Portal to Simplify and Centralize Interaction of IT-companies with Customers, and key words: Embedded computing, Web services, Companies, Software, Portals, Testing. Abstract: The purpose of this research work is to state requirements for the client portal, which simplifies and centralizes communication between companies and their customers. The article considers the reasons to create such a service and the ways of interaction of IT companies working in web development and design with clients. Client portals providing this interaction were explored and based on the results of this analogues analysis, the shortcomings of the selected services were identified and were taken into account during stating the requirements for the implementation of the website.
|
398,979 |
Please write an abstract with title: Trajectory Clustering in Surveillance Videos Using Dynamic Time Warping, and key words: Training, Tracking, Surveillance, Heuristic algorithms, Signal processing algorithms, Clustering algorithms, Signal processing. Abstract: Adding functional analysis to the videos captured by surveillance cameras can provide handy information to their users. Mining the existing trajectories in a video is one of the most valuable features, discovering the prevalent patterns and their density in the video, and it helps reveal some unusual and abnormal movements more easily. In this paper, the data obtained through the execution of detection and tracking algorithms are processed in various steps and used to train a hierarchical clustering model by deploying a modified version of the DTW algorithm. This practical approach does not need massive datasets for the training procedure and can be applied to any surveillance video containing different types of objects. The proposed method utilizes information extracted from the objects in a video to generate the existing primary trajectories. Additionally, a practical algorithm for modeling the background in surveillance movies is proposed to illustrate clustering outputs.
|
398,980 |
Please write an abstract with title: Design and analysis of multi-band polarization-insensitive annular ring metamaterial absorber, and key words: Structural rings, Strips, Absorption, C-band, Surface waves, Metamaterials, Dielectrics. Abstract: A design and simulation analysis of multi-band metamaterial absorber (MA) is discussed in this paper. The MA has a compact size of 9 mm × 9 mm × 1 mm and is designed using FR-4 substrate as a dielectric layer with a relative permittivity of 4.4. The FR-4 dielectric layer is sandwiched by the copper patch having three annular rings at the top, and a copper ground at the bottom. The proposed MA resonates at 6.548 GHz, 8.961 GHz, 18.119 GHz, and 18.442 GHz, i.e., at C band, X band, and K band having the maximum absorption rate of 99.07%, 98.44%, 99.95% and 99.62% respectively. At different polarization angles, the proposed structure exhibits polarization-insensitivity allowing near-unity absorption at the resonating frequencies. The structure also has a bandwidth from 17.93 GHz to 18.62 GHz at K band.
|
398,981 |
Please write an abstract with title: Recursive square-root ladder estimation algorithms, and key words: Recursive estimation, Hilbert space, Computer simulation, Convergence of numerical methods, Application software, Equalizers, Programmable control, Adaptive control, Noise cancellation, Echo cancellers. Abstract: Recursive least-square ladder estimation algorithms have attracted much attention recently because of their excellent convergence behavior and fast parameter tracking capability. We present some recently developed square-root normalized ladder form algorithms that have fewer storage requirements, and lower computational requirements than the unnormalized ones. A Hilbert space approach to the derivations of the normalized recursions is presented. Computer simulation results show that the normalized forms have the same convergence behavior, but even better numerical properties than the unnormalized versions. Other normalized forms, such as joint process estimators and ARMA (pole-zero) models, will also be presented. Applications of these algorithms to fast (or "zero") startup equalizers, adaptive noise- and echo cancellers and inverse models for control problems are also discussed.
|
398,982 |
Please write an abstract with title: A new on-line single-phase to three-phase UPS topology with reduced number of switches, and key words: Uninterruptible power systems, Switches, Circuit topology, Performance analysis, Rectifiers, Power factor correction, Inverters, Batteries, Costs, Reactive power. Abstract: This paper presents design considerations and performance analysis of a new on-line single-phase to three-phase uninterruptible power supply (UPS) system with reduced number of switches. The proposed new UPS system consists of an integrated rectifier/boost converter with power factor correction (PFC) capabilities and a two-leg inverter connected to a split DC-link bus. Two battery sets are directly connected to the DC-link bus resulting in a very simple system. The proposed topology uses only 6 active switches reducing the cost of the system compared to the traditional 7, 8, and 10-switch topologies. It has sinusoidal input current with unity power factor and high quality output voltages even with nonlinear loads. Detailed circuit operation and analysis as well as simulation and experimental results are presented.
|
398,983 |
Please write an abstract with title: Robust connectivity of networked vehicles, and key words: Robustness, Vehicles, Motion control, Control systems, Communication system control, Message passing, Communication networks, Position measurement, Sufficient conditions, Routing. Abstract: We present a simple geometric analysis of wireless connectivity in vehicle networks. We introduce a localized notion of connectedness, and construct a function that measures the robustness of this local connectedness to variations in position. Under a mild feasibility hypothesis, this function provides a sufficient condition for global connectedness of the network. Further, it is distributed, in the sense that both the function and its gradients can be calculated using only neighbor-to-neighbor communications. It can thus form the basis for distributed motion-control algorithms which respect connectivity constraints. We conclude with two simple examples of target applications.
|
398,984 |
Please write an abstract with title: Blockchain-based Networking Strategy for Privacy-Preserving Demand Side Management, and key words: Data privacy, Energy consumption, Demand side management, Scalability, Tools, Hardware, Blockchains. Abstract: Demand side management (DSM) presents an effective tool to regulate customers’ energy consumption. However, DSM requires customer-utility interaction based on fine-grained data, which jeopardizes the privacy of the customers. To overcome such a threat, several proposals are made based on noise addition, encryption techniques, or extra hardware. Unfortunately, these solutions either impact the integrity of the data, incur additional computational complexity, or add extra cost. Recently, blockchain has been adopted to support smart grid applications while promoting customer’s anonymity. However, special measures are yet to be taken to support both customer’s anonymity and data unlinkability, hence preserving the customer’s privacy. This paper achieves this goal by proposing a novel networking strategy based on a private blockchain. The proposed strategy employs a group signature to ensure the customer’s anonymity and data unlinkability. Further, a novel decentralized random number generation scheme is proposed to support customer-utility interaction for DSM, billing, and auditing while ensuring data unlinkability. We present an implementation of the proposed blockchain-based strategy, investigate its scalability, and provide low-bound empirical expressions on computational time and storage overhead.
|
398,985 |
Please write an abstract with title: Learning Graph Parameters from Linear Measurements: Fundamental Trade-offs and Application to Electric Grids, and key words: Symmetric matrices, Topology, Voltage measurement, Current measurement, Linear systems, Power measurement, Complexity theory. Abstract: We consider a specific graph learning task: reconstructing a symmetric matrix that represents an underlying graph using linear measurements. We study fundamental trade-offs between the number of measurements (sample complexity), the complexity of the graph class, and the probability of error by first deriving a necessary condition (fundamental limit) on the number of measurements. Then, by considering a two-stage recovery scheme, we give a sufficient condition for recovery. In the special cases of the uniform distribution on trees with n nodes and the Erdös-Rényi (n, p) class, the sample complexity derived from the fundamental trade-offs is tight up to multiplicative factors. In addition, we design and implement a polynomial-time (in n) algorithm based on the two-stage recovery scheme. Simulations for several canonical graph classes and IEEE power system test cases demonstrate the effectiveness of the proposed algorithm for accurate topology and parameter recovery.
|
398,986 |
Please write an abstract with title: Contextual knowledge representation, retrieval and interpretation in multimedia e-learning, and key words: Knowledge representation, Electronic learning, Knowledge management, Multimedia computing, Multimedia systems, Information management, Information retrieval, Context modeling, Internet, Isolation technology. Abstract: In highly interactive modern multimedia e-learning environments, current e-learning support products based on basic information management technologies are not able to support semantic-based knowledge management and communication beyond heterogeneous multimedia learning resources. Much of desired intelligent e-learning functionality needs further research and technical developments with semantic context-awareness. Proposed framework in this paper is expected to improve the current isolated learning management status, by making the most use of related learning information, and enabling flexible knowledge retrieval, communication and transfer between instructors and learners. To work with related existing e-learning content description standards and enable a semantic-based interactive learning environment, this paper explores a set of novel contextual knowledge discovery and reuse techniques. Based on knowledge communication model analysis in university e-learning, a contextual knowledge representation model is presented. Corresponding knowledge retrieval and semantic knowledge interpretation techniques are presented afterwards towards supporting pedagogical learning approaches such as scenario-based learning.
|
398,987 |
Please write an abstract with title: Input-to-state stable MPC for constrained discrete-time nonlinear systems with bounded additive uncertainties, and key words: Nonlinear systems, Uncertainty, Robustness, Closed loop systems, Costs, Control systems, Stability analysis, Additives, Telephony, Automatic control. Abstract: In this paper a robust model predictive control (MPC) for constrained discrete-time nonlinear system with additive uncertainties is presented. This controller uses a terminal cost, terminal constraint and nominal predictions. The terminal region and constraints on the states are computed to get robust feasibility of the closed loop system for a given bound on the admissible uncertainties. Furthermore, it is proved that the closed-loop system is input-to-state stable with relation to the uncertainties. Therefore, the closed-loop system evolves towards a compact set where it is ultimately bounded. In case of decaying uncertainties, the closed-loop system is asymptotically stable. The convergence of the closed loop system is guaranteed despite the suboptimality of the solution.
|
398,988 |
Please write an abstract with title: Mixed-Integer Linear Programming Model for Safe Zone Selection during Air Pollution Disaster, and key words: Atmospheric modeling, Pulmonary diseases, Government, Air pollution, Mathematical models, Hazards, Skin. Abstract: According to the air pollution disaster problem in Thailand, the human health problem becomes a significant issue. Many researchers and the government of Thailand attempt to help the people to avoid this problem. This paper aims to propose a mixed-integer linear programming model for safe zone selection during air pollution disasters. The mathematical model is applied to seek suitable locations for the case study under several conditions such as budget limit, capacity limit, bound of the number of selected locations in each area, and bound of total score obtained from the evaluation. The numerical data were generated for testing the proposed mathematical model. Based on the numerical data, the results found that the proposed mathematical model could generate the optimal solution and seek suitable locations for building safe zones in the air pollution disaster under the proposed limitations. This research will be of great significance in helping government consider the strategic placement of safe zones and helping people avoid the hazard of air pollution.
|
398,989 |
Please write an abstract with title: AC Loss Analysis and Modular Cryostat Design of a 10-MW High-Temperature Superconducting Double Stator Flux Modulation Machine, and key words: Windings, Stator windings, Magnetic fields, Air gaps, Modulation, Harmonic analysis, Rotors. Abstract: Superconducting (SC) machines are one of the best candidates for large-scale direct-drive wind power generation because of its high torque density. In a traditional SC synchronous machine, either armature windings or field windings need to rotate, which makes the structure of the machine complicated. To solve this problem, a high temperature superconducting (HTS) double stator flux modulation (DSFM) machine was proposed. In this machine, the armature windings and SC field windings are placed in outer stator and inner stator, respectively, and the machine works through flux modulation effect by reluctance rotor. Due to modulation effect, there is a high content of harmonic in this machine. Thus, it is important to analyze harmonics influence on SC coils, especially the SC coils ac loss. In this article, the losses of a 10MW HTS-DSFM machine are calculated and analyzed. It turns out that the ac losses of SC coils in this machine is higher compared with the traditional SC synchronous machine. From analytical calculation, the ac magnetic field perpendicular to the tape surface have strong impacts on the SC coils. In order to reduce the ac losses, some suppression methods are adopted on machine structures and SC thermostat. Then, cryostats are designed and the cooling budgets are evaluated. At last, the comprehensive performances of the machine are calculated and its economy in the long term is verified.
|
398,990 |
Please write an abstract with title: Partially Matching Projection Decoding Method Evaluation Under Different Playback Conditions, and key words: Loudspeakers, Decoding, Manganese, Speech processing, Layout, Encoding, Reverberation. Abstract: The Ambisonic technique has been widely used in fields such as sound-field reproduction, sound source localization, and acoustic noise control. In this paper, a recently proposed Ambisonic decoding method, the partially matching projection method (PMPD), was described in detail and extended for more practical use with near-field sources and reverberant playback environments. Several experiments were conducted to evaluate the performance of the method. In the experiments, we compared performances of PMPD method with three other Ambisonic decoding methods, “All-round Ambisonic Decoding” (AllRAD) method, mode matching decoding (MMD) method and regularized mode matching decoding (RMMD) method. Different playback conditions were considered to investigate the generalization of the method, including unevenly and evenly distributed loudspeakers, as well as free-field and reverberant playback environments. In terms of reproduction errors near sweep-spot and energy of loudspeaker gains, PMPD method worked well for different signals and playback environments. Whereas the other three methods encontered ill-posed problems or large reproduction errors in certain conditions. This means that PMPD method achieves a balence between precise reproductioin near sweet-spot and energy of loudspeaker gains with ill-posed problems. PMPD method has a more robust performance than the other three compared methods for different signals and playback environments. And we conclude that PMPD method is effective to be used as an Ambisonic decoding method, especially for different playback environments.
|
398,991 |
Please write an abstract with title: Retransmission optimization in CDMA random access networks, and key words: Intelligent networks, Multiaccess communication, Base stations, Markov processes, Protocols, TV broadcasting, Intrusion detection, Circuits, Detectors, Error analysis. Abstract: A one-persistent steady state retransmission scheme for packet collision in CDMA random access networks is analyzed. Instead of having the conventional analysis of a composite packet arrival model, the paper investigates and analyzes the new traffic and retransmission traffic of packet arrivals in CDMA systems independently, with two separate models. During the retransmission cycle, unlike in conventional packetized CDMA systems, we assume that the arrival of retransmission traffic is not Poisson distributed. A one-persistent steady state traffic distribution in retransmission provides a more realistic measure with improvements in the system throughput and delay. The paper presents the mathematical analysis and some simulation results for the proposed system. The results and analysis are useful for optimizing the network capacity of CDMA random access networks.
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398,992 |
Please write an abstract with title: Vector quantization for classification in a simple network, and key words: Vector quantization, Intelligent networks, Gaussian processes, Iterative decoding, Gaussian distribution, Channel capacity, Additive noise, Information systems, Laboratories, Robustness. Abstract: Summary form only given. We design a generalized Gauss mixture vector quantizer (GMVQ) with an encoder at each sensor and a decoder at the common receiver, minimizing the expected quadratic discriminant analysis (QDA) distortion between the original data and the Gauss mixture component, to which it is assigned by the decoder. Each encoder first predicts the index assignment of the other encoder based on its own noisy version of the data. We denote the predicted index of the other encoder by j/sup p/. Then, the encoder assigns its own noisy version to the index i such that the Gauss mixture component associated with the index pair (i, j/sup p/) at the decoder is the one minimizing the expected QDA distortion. The decoder, upon receiving an index from each encoder, maps the received index pair to the mixture component, minimizing the expected distortion. The quantizer is trained using the Lloyd algorithm, by iteratively updating the encoders and the decoder. Each encoder is updated by predicting the index assignments of the other encoder followed by assigning each noisy input vector to the index, minimizing the expected QDA distortion. The decoder is updated by mapping each index pair to the optimum Gauss mixture component followed by the update of the parameters of each Gauss mixture component. We have implemented our algorithm on three different data sets: a mixture of Gaussians, a mixture of Laplacians and a a set of aerial images. For each data set, we observed that the classification performance achieved by our algorithm is very close to the theoretically optimal (Bayes) performance.
|
398,993 |
Please write an abstract with title: Maximally flat allpass fractional Hilbert transformers, and key words: Transformers, Finite impulse response filter, Frequency response, Transfer functions, Equations, Communication systems, Bandwidth, Image edge detection, Fourier transforms, IIR filters. Abstract: Recently, a generalization of the Hilbert transformer, the fractional Hilbert transformer, was defined and developed. In this paper, we propose a design of the allpass filter to realize the fractional Hilbert transformer based on the maximally flat approximation to the desired phase response. The coefficients are solved analytically for the traditional Hilbert transformer which is a special case of the fractional Hilbert transformer. Based on the closed-form coefficients, we show that the maximally flat allpass Hilbert transformers are stable. Design examples indicate that the proposed filters exhibit good approximation to the desired frequency response.
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398,994 |
Please write an abstract with title: Broadcasting-quality transmission of audio signals at 64 kbps, and key words: Broadcasting, Speech, Bandwidth, ISDN, Testing, Transversal filters, Stability, Copper, Laboratories, Telecommunications. Abstract: Recently, attention has been paid to the problem of transmitting audio signals whose bandwidth is wider than 3.4 kHz, tipycally 7 kHz. In this paper, three techniques are examined which allow the transmission rate of 64 kbit/s to be met. Comparisons are carried out in terms of both objective measurements and informal listening tests. Possible application fields are tele- and video-conferencing, commentary channels and broadcasting, and high quality speech and music in the future Integrated Service Digital Network.
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398,995 |
Please write an abstract with title: Sleep-Wake Classification for Home Monitoring of Sleep Apnea Patients, and key words: Electrocardiography, Feature extraction, Sleep apnea, Biomedical monitoring, Monitoring, Wearable sensors, Plethysmography. Abstract: Sleep apnea is a common sleep disorder, whose diagnosis can strongly benefit from home-based screening. As the total sleep time is essential to assess the sleep apnea severity, a sleep-wake classifier was developed based on heart rate and respiration. These two signals were selected as they can be measured using unobtrusive sensors. A 1D convolutional neural network (CNN) was designed to classify 30s epochs of tachograms and respiratory inductance plethysmography (RIP) signals. The input based on beat-to-beat variability allows the use of different sensor types. A dataset of 56 patients with an apnea-hypopnea index (AHI) below 10 was used to train and validate the network. This CNN was applied to an independent test set of ECG and RIP signals of 25 subjects. Of these, 8 subjects were simultaneously monitored using an unobtrusive capacitive-coupled ECG (ccECG) sensor integrated in a mattress. Artefact removal and data correction was performed on this acquired data. The performance on the independent dataset of ECG and RIP is comparable to state-of-the-art, with κ = 0.48. However, application on the ccECG data resulted in a drop in performance, with κ = 0.30. This was caused by a low amount of remaining wake epochs after data cleaning. Importantly, the network classified 30s segments of sleep apnea patients, without relying on past or future information for feature extraction.
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398,996 |
Please write an abstract with title: Moving Vehicle Candidate Recognition and Classification Using Inception-ResNet-v2, and key words: Feature extraction, Support vector machines, Convolutional codes, Forestry, Image edge detection, Image color analysis, Vehicle detection. Abstract: Vehicle detection and classification are important tasks in the automatic traffic monitoring system. The proposed work focuses on vehicle detection and classification. Vehicle detection is carried out using the combination of dense optical flow method and integrated binary projection profile. Inception-ResNet-v2 is used as a feature extraction technique and extracted features are fed to two different classifiers such as Support Vector Machine and Random Forest to classify the vehicle type. The recognition performance of Inception-ResNet-v2 with these classifiers is significantly high and the proposed approach obtained an output accuracy as 99.89% and 98.615% in Support Vector Machine and Random forest respectively.
|
398,997 |
Please write an abstract with title: Synthesis of the primary fields of a transmitting feed for a circular reflector, and key words: Antenna feeds, Reflector antennas, Geometrical optics, Electromagnetic fields, Transmitting antennas, Optical surface waves, Lighting, Magnetic fields, Contracts, Telephony. Abstract: A two-dimensional electromagnetic boundary-value problem consisting in the synthesis of the primary fields of a transmitting feed antenna for a circular-cylindrical reflector is considered. A primary field that corrects for the phase aberration of the reflector is synthesized as a sum of circular waves whose common origin is displaced from the center of curvature of the reflector. Limitations on the gain of the feed-reflector combination as a function of the number of waves and the displacement are discussed. The synthesized fields are compared with those obtained from geometrical optics.
|
398,998 |
Please write an abstract with title: An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs, and key words: Degradation, Design methodology, Memory management, Robustness, Energy efficiency, Convolutional neural networks, Iterative methods. Abstract: Codebook-based optimizations are a class of algorithmic-level transformations able to effectively reduce the computing and memory requirements of Convolutional Neural Networks (CNNs). This approach tightly limits the number of unique weights in each layer, allowing the storage of employed values in codebooks containing a small number of floating-point entries. Then, CNN models are represented as low-bitwidth indexes of such codebooks. This work introduces a novel iterative methodology to find highly beneficial schemes trading off accuracy and model compression in codebook-based CNNs. Our strategy can retrieve non-uniform solutions driven by an accuracy constraint embedded in the optimization loop. Our results indicate that, for a 1% accuracy degradation, our methodology can compress baseline floating-point CNN models up to 19x. Moreover, by reducing the number of memory accesses, our strategy increases energy efficiency and improves inference performance by up to 91%.
|
398,999 |
Please write an abstract with title: Adaptive Mho Characteristic-Based Distance Protection for Lines Emanating From Photovoltaic Power Plants Under Unbalanced Faults, and key words: Impedance, Power generation, Protective relaying, Resistance, Impedance measurement, Current measurement, Electrical resistance measurement. Abstract: The exclusive fault characteristics of photovoltaic (PV) power plants and the existence of fault resistance cause a high probability of failure in operation and unwanted operation of distance relay with conventional mho or quadrilateral characteristic. Different from the fixed operation zones of conventional mho and quadrilateral characteristics, the adaptive mho characteristic presented herein can adaptively adjust its operation zone to solve the aforementioned issues. The basic principle of adaptive mho characteristic-based distance protection is described and the uniform expression of adaptive setting impedance is derived. Subsequently, taking the fault characteristics of PV power plant into consideration, the method of solving the phase angle of fault current is presented, which is the key to calculating adaptive setting impedance. The performances of the proposed protection scheme are evaluated by extensive digital simulations. The proposed protection scheme exhibits satisfactory robustness against the fault resistance and excellent adaptability to different grid codes. It can not only discriminate the internal and external faults occurring in the lines emanating from the PV power plant but also correctly identify the fault direction.
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