ID int64 0 400k | content stringlengths 97 5.85k |
|---|---|
12,500 | Please write an abstract with title: MLFMA-based quasi-direct analysis of scattering from electrically large targets, and key words: Integral equations, MLFMA, Computational complexity, Integrodifferential equations, Sampling methods, Electromagnetic scattering, Convergence, Impedance, Iterative algorithms. Abstract: The multilevel fast multipole algorithm (MLFMA) is traditionally employed in the context of an iterative matrix solver, in which the MLFMA is utilized to implement the underlying matrix product with NlogN complexity, where N represents the number of unknowns. The total computational complexity of such an approach is order PNlogN, where P represents the number of iterations required for convergence of the iterative-solver (e.g. conjugate gradients) to a desired accuracy. Many electromagnetic-scattering problems are poorly conditioned, and therefore P is often large. Rather than applying an iterative matrix solver, we perform a matrix product involving the inverse of the impedance matrix. By using the properties of the MLFMA, this process is performed very efficiently for electrically large problems. In particular, numerical experiments indicate that this new formulation (which avoids the iteration count P) is often significantly faster than the traditional iterative MLFMA solution, while requiring the same computer memory. The basic theory is described, and several examples are presented. |
12,501 | Please write an abstract with title: A game theoretic approach to dynamic energy minimization in wireless transceivers, and key words: Game theory, Transceivers, Energy consumption, Decoding, Bit error rate, Digital signal processing, Communication channels, Batteries, Ad hoc networks, Mobile ad hoc networks. Abstract: Adaptive transceivers can significantly reduce the energy consumption of a mobile, battery-powered node by capturing real-time changes in the communication channel. This paper proposes a game-theoretic solution to the optimization of the energy consumption in wireless transceivers. This is accomplished by dynamically adapting the modulation level of the transmitter modulator and the error correction aptitude of the receiver decoder with respect to channel conditions subject to specified average bit-error-rate and throughput constraints. Experimental results demonstrate energy savings of up to 15%. |
12,502 | Please write an abstract with title: P1402/D11, Jun 2021 - IEEE Draft Guide for Physical Security of Electric Power Substations, and key words: IEEE Standards, Substations, Access control, Lighting, Security, Power system reliability, Alarm systems. Abstract: Guidance for the physical security of electric power substations is provided in this guide. It addresses a number of threats, including unauthorized access to substation facilities, theft of material, and vandalism. It describes some options for positive access control, monitoring of facilities, and delay/deter features that could be employed to mitigate these threats. This guide also discusses options for different levels of physical security risk for electric power substations. The guide does not establish recommendations based on voltage levels, size, or any depiction of criticality of the substation. The user will make these decisions based on threat assessment and criticality assignment by the substation owner. Large scale overt attacks against the substation for the purpose of destroying its capability to operate, such as explosives, projectiles, vehicles, etc., are beyond the scope of this guide. |
12,503 | Please write an abstract with title: A new behavioral model taking into account nonlinear memory effects and transient behaviors in wideband SSPAs, and key words: Power system modeling, Frequency, Steady-state, Predictive models, Nonlinear dynamical systems, Nonlinear systems, Solid state circuits, Power amplifiers, Radiofrequency amplifiers, Bandwidth. Abstract: Accurate and non quasi-static behavioral models of SSPAs taking into account nonlinear memory effects become of prime importance for a breakthrough in system level analysis and design of wideband digital communication systems. This paper describes a new method to characterize and integrate memory effects in nonlinear behavioral models of SSPAs allowing to reproduce both transient and steady state behaviors. |
12,504 | Please write an abstract with title: A Multi-Level Gate Driver for Crosstalk Suppression of Silicon Carbide MOSFETs in Bridge Arm, and key words: Logic gates, Crosstalk, MOSFET, Silicon carbide, Bridge circuits, Gate drivers, Switches. Abstract: In high frequency applications of silicon carbide (SiC) MOSFET, it is easy to be affected by parasitic parameters where crosstalk phenomenon in bridge arm will occur. This paper proposes a novel multi-level gate driver which can suppress the crosstalk phenomenon of the SiC MOSFETs in bridge arm. An auxiliary MOSFET branch between the gate and source of SiC MOSFET is adopted to generate negative and zero gate voltage when SiC MOSFET is turned off. The negative gate voltage may reduce the positive gate crosstalk voltage, and zero gate voltage may reduce negative gate crosstalk voltage. Both the simulations and experiments are carried out to verify the feasibility and high performance of the proposed multi-level gate driver. Compared to the conventional gate driver, the proposed multi-level gate driver reduces the positive crosstalk voltage to -2.2V, and the negative crosstalk voltage to -4.4V, respectively. |
12,505 | Please write an abstract with title: Hybrid neural-phenomenological sub-models and its application to Earth-space path signal attenuation prediction, and key words: Attenuation, Error correction, Equations, Neural networks, Mathematical model, Feeds, Degradation, Rain, Flow graphs, Neurons. Abstract: Neural models may be very precise but, being numerical, provide only limited contribution to the understanding of the phenomenological process, contrary to phenomenological models. In this paper we use neural techniques to evaluate and to provide information on the sub-models that composes a phenomenological model. We also show how some hybrid neural-phenomenological sub-models may be used to maximally preserve the phenomenological information while providing numerical precision. The problem of radio wave degradation by rain is critical for the design of reliable Earth-satellite communication links operating above 10 GHz. Phenomenological models available in the literature are complex and show poor accuracy, and so are good candidates for the proposed technique. The use of this technique in the UIT-R model presented very interesting results. |
12,506 | Please write an abstract with title: On the Education of Networked Systems, and key words: Smart buildings, Automation, Smart cities, Pandemics, Education, Autonomous vehicles. Abstract: Networked systems have become pervasive in the past two decades in modern societies. Engineering applications can be found from smart buildings to smart cities. It is important to educate the students to be ready for designing, analyzing, and improving networked systems. But this is becoming more and more challenging due to the conflict between the growing knowledge and the limited time in the curriculum. In this work we consider this important problem and provide a case study to address these challenges. A group of courses have been developed by the center for intelligent and networked systems, department of automation, Tsinghua University in the past two decades for undergraduate and graduate students. We also report the related education platform and textbook development. Wish this would be useful for the other universities. |
12,507 | Please write an abstract with title: Synchronous Reference Frame PLL Frequency Estimation under Voltage Variations, and key words: Phase locked loops, Frequency estimation, Estimation, Power quality, Analytical models, Computational modeling. Abstract: In this paper, MIMO space state models that represent the voltage influence in the SRF-PLL over its frequency estimations is obtained. Throughout the model development, two estimation alternatives were explored. The model accuracy was verified by simulations of the linear models and then compared with the nonlinear models. The SRF-PLL linear model represents well the behavior under single and three phase voltage sags. |
12,508 | Please write an abstract with title: Research on Optimization Method of Passive Resonance Damping of Hybrid Active Power Filter, and key words: Damping, Optimization methods, Resonant frequency, Active filters, Harmonic analysis, Hybrid power systems, Mathematical models. Abstract: The hybrid active power filter (HAPF) is an effective measure to suppress the harmonic resonance of power system with high-voltage and large-capacity harmonic compensation. Compared with the single use of active power filter (APF), the passive resonance of HAPF further reduces the capacity of APF and improves the large-capacity application. Thus, it is an important scientific issue to study the passive resonance damping relationship of HAPF. This paper analyzes the passive damping resonance method of HAPF in Tokamak power supply. Based on the harmony search model, a parameter optimization method is proposed, and the improved harmony algorithm is introduced to solve the passive damping optimization parameters. The passive damping optimization method is validated by MATLAB/Simulink simulation and experiments. |
12,509 | Please write an abstract with title: A Hyperspectral Anomaly Detection Method Based on Low-Rank and Sparse Decomposition With Density Peak Guided Collaborative Representation, and key words: Sparse matrices, Hyperspectral imaging, Detectors, Matrix decomposition, Covariance matrices, Collaboration, Task analysis. Abstract: The low-rank and sparse decomposition model (LSDM) has been widely studied by researchers and has successfully solved the problem of hyperspectral image (HSI) anomaly detection (AD). The traditional LSDM usually ignores the information of the low-rank matrix, which only detects the anomalous targets by using the sparse component. To utilize both the sparse component and the low-rank component comprehensively, an anomaly detector for HSIs based on LSDM with density peak guided collaborative representation (LSDDPCRD) is proposed in this article. First, the LSDM technique with the mixture of Gaussian model is used to decompose the original HSI, which can also alleviate the background noise contamination problem. Then, the low-rank matrix is detected by the density peak guided collaborative representation detection algorithm, while the sparse matrix is calculated according to the Manhattan distance. In addition, an entropy-based adaptive fusing method is designed to combine the results obtained from the low-rank matrix and the sparse component. It could choose the fusing weights adaptively according to the characteristics of an HSI. The experimental results indicate that the LSDDPCRD performs better than eight classical and state-of-the-art AD algorithms (GRX, LRX, SRX-Segmented, CRD, RPCA-RX, LSMAD, LRASR, and LSDM-MoG) on four real HSIs. |
12,510 | Please write an abstract with title: Errata, and key words: Privacy, Biographies, Security. Abstract: Presents corrections to biographical data in in the article,“Forensic event analysis: From seemingly unrelated data to understanding,” (Padhilha, R., et al), IEEE Security Privacy, vol. 18, no. 6, pp. 23–31, Nov./Dec. 2020. doi: 10.1109/MSEC.2020.3000446. |
12,511 | Please write an abstract with title: Random Timing Noise Growth in a Cascaded Digital Regenerator Chain, and key words: Timing, Phase noise, Phase locked loops, Bandwidth, Influenza, Additive noise, Australia, Digital filters, Repeaters, Gaussian noise. Abstract: A restriction on the type of phase-locked loop usable as a timing filter in digital regenerative repeaters is discussed. The limitation arises from the growth of random timing noise. It is shown that the use of second-order loops enables an improvement of less than 1 dB in noise bandwidth over the comparable first-order loop. |
12,512 | Please write an abstract with title: Designing Stochastic Number Generators Sharing a Random Number Source based on the Randomization Function, and key words: Generators, Computer architecture, Digital circuits, Hardware, Correlation, Approximate computing, Logic gates. Abstract: In this study, we propose a novel stochastic number generator architecture and prove that the resulting circuit can deliver independent stochastic numbers and improve the accuracy of the calculation results obtained using some recent conventional stochastic computing-based arithmetic circuits. This study is motivated by the increasingly important role of stochastic computing in various fields, such as the digital circuit design, where the stochastic number generators are responsible for a significant share of the hardware cost. |
12,513 | Please write an abstract with title: Notes on radiography, and key words: Electron tubes, Heating systems, Solids, Copper, Welding, Tungsten, Oils. Abstract: Capt. Percy Perrow (Associate Member): It is to be regretted that Mr. Symons paper has not been productive of more discussion from our members, for the subject is slowly but surely becoming of increasing importance, not alone in its medical application, but also from ati industrial and engineering viewpoint. |
12,514 | Please write an abstract with title: The Development of A PHP-Based Instrument for Knowledge Assessment of Learning Outcomes to Improve the Achievement Efficiency of Computer and Network Engineering Students in Public Vocational High Schools in Malang Regency, and key words: Knowledge engineering, COVID-19, Analytical models, Pandemics, Instruments, Media, Engineering students. Abstract: This research aimed to ease teachers’ performance in assessing learning outcomes (penilaian hasil belajar/PHB). This research developed a knowledge competency PHB instrument based on the PHP and MySQL website using the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. The product trial obtained 93,75% and was declared very valid and suitable for use without revision [1]. The efficiency tests received that the PHB instrument improved students’ learning achievement efficiency. Thus, it can be concluded that the development of knowledge competency assessment of learning outcomes (PHB) instruments using the PHP-based website improved students’ learning achievement efficiency. |
12,515 | Please write an abstract with title: Designing band-pass multisine excitations for microwave behavioral model identification, and key words: Probability density function, Nonlinear systems, Data mining, Gaussian noise, Microwave circuits, Power generation, Telecommunications, Circuit testing, System testing, Nonlinear dynamical systems. Abstract: This work deals with the design of band-pass multisine excitations appropriate for microwave nonlinear model extraction and validation. Several examples show that the probability with which each instantaneous amplitude value is reached plays a determinant role on the response of a memoryless nonlinear system. Moreover, further tests made with nonlinear dynamic systems have shown that even the signal probability density function is insufficient, and one needs to know the signal's waveform, or the complete multisine amplitude and phase distribution. |
12,516 | Please write an abstract with title: Effect of antioxidants on pre-crosslinking and DC breakdown characteristics of XLPE cable insulation, and key words: Torque, Polyethylene, Electric breakdown, Power cables, Ionization, Power cable insulation, High-voltage techniques. Abstract: Pre-crosslinking is likely to occur during the extrusion process of cross-linked polyethylene (XLPE) used for high voltage cables, which has negative effects on the extrusion molding of XLPE insulation. Adding antioxidants contributes to delaying the pre-crosslinking, so different insulating materials with three kinds of isomers of hindered phenolic antioxidants are investigated, respectively. The experimental results show that the insulating materials added with antioxidant 736 has a better effect on delaying pre-crosslinking, but its final cross-linking degree is lower. Bond dissociation energy (BDE) and energy band distribution of different antioxidant molecules were obtained by first-principles calculation. Besides, AO736 has lower BDE compared with AO2246-S and AO300, which reflects better free radical eliminating and delaying pre-crosslinking abilities. What is more, AO736 can produces deep hole traps, which enhances the ability to capture carriers, thereby reducing its average free path and weakening the damage of collision ionization to molecular chains. So it can significantly improve DC breakdown strength of XLPE. This study shows that AO736 has potential application prospect in XLPE insulating materials. |
12,517 | Please write an abstract with title: Analysis of the Sampling Noise Cancellation Technique in a Track-and-Hold Amplifier, and key words: Analytical models, Costs, Closed-form solutions, Conferences, Noise cancellation, Capacitance, Integrated circuit modeling. Abstract: The sampling noise cancellation (SNC) technique has been applied to different discrete-time circuits in recent literature, but the cost of this technique has not been well studied. This paper gives a detailed analysis of the SNC approach in a track-and-hold amplifier (THA). Closed-form expressions are derived for each noise source in the THA during the sampling phase and are verified by simulations. The analysis shows that while the sampling noise can be cancelled, the noise from the extra amplifier and switches can become dominant and even outweigh the benefits from SNC. Therefore, the SNC technique should be used with attention to the trade-offs, as described in this paper. |
12,518 | Please write an abstract with title: Research on Regulation Characteristic Analysis Method of Temperature-controlled Load Cluster Based on Soft Actor-Critic Algorithm, and key words: Temperature measurement, Training, Temperature distribution, Clustering algorithms, Power system stability, Regulation, Dispatching. Abstract: Temperature-controlled loads have great potential to provide power system with power regulation service. It is difficult to estimate the regulation characteristic of air conditioning load clusters. This paper considers the feasibility of measurement, and puts forward a data-driven regulation characteristics analysis method of temperature-controlled load clusters based on gate power and cluster sampling information, which provides a highly practical cluster dispatching parameters for power system dispatching centers. This paper designs a multi-objective reward function which considers the benefits of the cluster, dispatch demand, response performance and so on. Through Soft Actor-Critic Algorithm (SAC) algorithm, the training of neural network for dispatch parameter analysis is realized. Through the analysis of simulation results, the proposed method greatly reduces the scale of data collection, reduces the measurement sensitivity of the device and, obtains high stability. The multi-objective reconciliation of response randomness, control accuracy and aggregator income is realized, which provides technical support for residential users to actively participate in system regulation. |
12,519 | Please write an abstract with title: Leveraging Supervised Machine Learning Techniques for Identification of Malaria Cells using Blood Smears, and key words: Image segmentation, Thresholding (Imaging), Microscopy, Supervised learning, Support vector machine classification, Machine learning, Cells (biology). Abstract: Plasmodium parasite is identified as amenable for spreading a disease named Malaria. Under the stodgy method, the blood splotch is first smeared on the slide, scrutinized under the microscope, and parasites (which can cause malaria) in blood cells are detected. For beneficial parasite detection, image processing proves to be very much dominant. The reason for this is accuracy in the results. This research presents Malaria detection in blood smear images using supervised learning methods. This proposed method starts with the preprocessing in which images are resized and converted into grayscale. The thresholding technique is implemented to identify blobs for segmentation. For feature extraction, GoogLeNet is maneuvered, and the results of the classification show that this method has an accuracy of 95.8% for detecting malaria in blood smear images. |
12,520 | Please write an abstract with title: Power efficient topology control for wireless networks with switched beam directional antennas, and key words: Network topology, Wireless networks, Directional antennas, Antenna radiation patterns, Communication switching, Directive antennas, Ad hoc networks, Heuristic algorithms, Cost function, Energy consumption. Abstract: We consider the problem of power-efficient topology control with switched beam directional antennas taking into account their non-uniform radiation pattern within the beamwidth. Previous work have all assumed uniform gain for these antennas. We construct optimal algorithms that take into account a model of non-uniform gain. Moreover, we argue that with such a model of gain, antenna orientation is a significant parameter to be considered while constructing power-efficient topologies. We present heuristic algorithms that construct power-efficient topologies taking antenna orientation into consideration and demonstrate significant reductions in the power required to keep the network connected. |
12,521 | Please write an abstract with title: 3D-signal integrity simulation and measurements on an electrical hermaphrodite connector interface, and key words: Electric variables measurement, Connectors, Contacts, Impedance, Assembly, Context modeling, Conductors, Computer simulation, Application software, IEC standards. Abstract: This article deals specifically with the influence of the 3D conductor overlapping in the actual contact area using a hermaphrodite contact design. With regard to the characteristic impedance profile the assembling differences between the overmolding technology of contact parts and the insert loading and assembling process is discussed. A computer simulation method is used to calculate the data of signal integrity defining the important transfer parameters of connectors in high speed applications according to the new IEC 61076-3-105 CD project which specifies 4 pair balanced, individually shielded, fixed and free connectors with characteristic impedance of 100 ohms, covering a frequency range from DC to 1500 MHz. In this context, various simulation models are presented and compared with each other. In conclusion, there is a comparison of calculations with TDR measurements (time domain reflectometry). The calculated results of the high-speed parameters are shown in various graphics and curves over the connector design, in order to define the connector signal operating range. |
12,522 | Please write an abstract with title: The calculation of transient field and parameters of REPM synchronous generator, and key words: Synchronous generators, Transient analysis, Magnetic analysis, Magnetic fields, Eddy currents, Solid modeling, Finite element methods, Conductivity, Iron, Stator windings. Abstract: The paper describes the procedure for analyzing the transient magnetic field of REPM synchronous generator. Cross-section of machine is modelled using finite elements formulated by nodal method with two conductivity matrices to present the effects of eddy currents in solid iron and stator winding. Two types of eddy current in solid rotor, produced respectively by the amplitude change of magnetic potential and the relative movement between medium and magnetic field, are taken into account. The analysis is applied to a small REPM machine, and computed results compare well with test. |
12,523 | Please write an abstract with title: A General Multi Time Scale Spatiotemporal Compound Model for EEG Classification, and key words: Convolution, Computational modeling, Brain modeling, Feature extraction, Electroencephalography, Data models, Brain-computer interfaces. Abstract: Recently Brain computer interfaces (BCI), a direct communication technique between machine and brain, plays an important role in the fields of brain disease diagnose, rehabilitation and robotics with the help of electroencephalography (EEG). EEG-based brain signal feature extraction and task categorization have become a popular trend. The procedure of brain signal analysis includes three steps: pre-process, feature extraction and categorization. For a given BCI paradigm, these steps are tailored to explore distinct characteristics of its expected control signals. To generalize the process, we propose a multi time scale spatiotemporal compound classification model (MTSC) based on Convolution Neural Network (CNN). The model firstly utilizes 2D convolution along time axis capturing temporal feature, then depth-wise convolution along channel axis is done for capturing spatial feature. Both of two domain features composite a facet of original EEG signal. We set up different 2D convolution kernel size according to the signal sample rate in order to generate different views, which contains various time scale information. These views are weighted summed for classification. Experiments on four different paradigm datasets have been conducted comparing with well performed deep learning and traditional methods. The results show that our model achieves better marks on all datasets in accuracy and F1-score. |
12,524 | Please write an abstract with title: Numerical Study of Novel GaN HEMTs With Integrated SBDs for Ultrahigh Reverse Conduction Capability, and key words: HEMTs, MODFETs, Logic gates, Gallium nitride, Schottky diodes, Performance evaluation, Leakage currents. Abstract: This brief proposes novel integrated GaN high-electron-mobility transistor (HEMT) with multichannel Schottky barrier diode (SBD) structures to achieve ultrahigh reverse conduction capability and maintain the blocking characteristic at the same time. The simulative results indicate that the reverse voltage drop and reverse ON-state resistance can be reduced by 38.6% and 38% compared with the traditional metal–insulator–semiconductor HEMT, respectively. Meanwhile, the forward conduction capability, the blocking performances, and the capacitance characteristics are little influenced. Moreover, it is proved that the proposed devices also exhibit superior dynamic performances, indicating the application potential of reducing the power loss of power electronic systems. Finally, the key fabrication flows for the novel devices are presented and discussed. |
12,525 | Please write an abstract with title: Hardware Demonstration of Weak Grid Oscillations in Grid-Following Converters, and key words: Reactive power, Computer simulation, Computational modeling, Power system stability, Stability analysis, Hardware, Steady-state. Abstract: The increasing penetration of inverter-based resources (IBRs) introduces some unexpected dynamic issues, including low-frequency oscillations. In this paper, a laboratory-scale grid-following voltage-source converter (VSC) system is implemented to demonstrate weak grid oscillations. Grid-following control is applied in VSC to provide active power, reactive power or ac voltage control. The test bed is also replicated in electromagnetic transient (EMT) simulation environment (MAT-LAB/SimPowerSystems) for benchmark purpose. Case studies are carried out to demonstrate low-frequency oscillations under real power/ac voltage or real power/reactive power control. The excellent agreement between the simulation and experimental results ensures that the two test beds are exchangeable and can be used for testing oscillation mitigation strategies in future research. |
12,526 | Please write an abstract with title: New CMOS current-mode amplitude shift keying demodulator (ASKD) dedicated for implantable electronic devices, and key words: Amplitude shift keying, Demodulation, Implants, CMOS technology, Data communication, Data mining, Digital modulation, Amplitude modulation, Circuits, Fabrication. Abstract: We propose in this paper a new CMOS integrated amplitude shift-keying (ASK) demodulator dedicated for implantable electronic device (IED) systems. ASK modulation is commonly used in the wireless data transmission systems of IEDs. The proposed ASK demodulator (ASKD) is used to extract digital data from two-level ASK modulated current signal. The ASKD allows to detect current levels with very small modulation depth which is defined as the difference between the two allowable ASK amplitude levels. The design is not complex and it is less sensitive to process variation. The circuit is implemented with 0.18 /spl mu/m, 1.8 V CMOS technology and currently it is under fabrication. Preliminary post-layout simulation results allow to prove the proposed concept for an input signal of 250 KHz at current amplitude varying between 4 and 4.5 /spl mu/A. |
12,527 | Please write an abstract with title: A non-Markovian coupling for randomly sampling colorings, and key words: Sampling methods, Character generation, Computer science, Physics, Chromium, Polynomials, Mathematics, Computational modeling, Computer simulation, Antiferromagnetic materials. Abstract: We study a simple Markov chain, known as the Glauber dynamics, for randomly sampling (proper) k-colorings of an input graph G on n vertices with maximum degree /spl Delta/ and girth g. We prove the Glauber dynamics is close to the uniform distribution after O(n log n) steps whenever k > (1 + /spl epsiv/)/spl Delta/, for all /spl epsiv/ > 0, assuming g /spl ges/ 9 and /spl Delta/ = /spl Omega/(log n). The best previously known bounds were k > 11/spl Delta//6 for general graphs, and k > 1.489/spl Delta/ for graphs satisfying girth and maximum degree requirements. Our proof relies on the construction and analysis of a non-Markovian coupling. This appears to be the first application of a non-Markovian coupling to substantially improve upon known results. |
12,528 | Please write an abstract with title: RSSI Based Positioning System for WSN with improved Accuracy, and key words: Location awareness, Wireless sensor networks, Simulation, Signal processing algorithms, Estimation, Signal processing, Iterative methods. Abstract: Finding location accurately in sensor network is a major issue. There are different approaches for localization categorizes as range based and range free. Through this research work we have increases the localization accuracy by iterative methods to gain the maximum possible accuracy level. The method starts with a rough base value by assuming the location using RSSI based weighted centroid methods and goes through several steps by using the basic rules for drawing a triangle. We have tested our methodology using COOJA simulator and it is proved that the method converges with high accuracy in few steps. |
12,529 | Please write an abstract with title: Study on negative pressure handling of carbon fiber prepreg, and key words: Analytical models, Shape, Simulation, Layout, Optical fiber theory, Fabrics, Carbon. Abstract: In the handling and transferring process of carbon fiber prepreg during the automatic forming application, the analysis of the sucker’s position and diameter in the negative pressure handling process is often ignored. Given the hanging quality analysis in the handling process, the classical laminate theory is usually used to deal with the prepreg. It is challenging to get the actual simulation results. Based on the constitutive model of fabric, this paper further analyzed the constitutive model suitable for prepreg material and analyzed the handling quality of prepreg material under different sucker diameters and spacing through experiments and simulations to provide a more reasonable sucker size and layout strategy for handling and transferring prepreg material in the automatic forming process. It can be found that the larger the diameter of the sucker, the smaller the maximum overhang, but the more significant the reverse deformation of prepreg at the sucker position. The hanging quality of prepreg will be improved when the distance between suction cups decreases. |
12,530 | Please write an abstract with title: Lyapunov-based distributed control of systems on lattices, and key words: Distributed control, Lattices, Uncertainty, Sensor systems, Actuators, Control systems, Unmanned aerial vehicles, Satellites, Nonlinear systems, Programmable control. Abstract: We investigate the properties of systems on lattices with spatially distributed sensors and actuators. These systems arise in a variety of applications such as the control of vehicular platoons, formation of unmanned aerial vehicles, arrays of microcantilevers, and constellations of satellites. We use a Lyapunov-based framework as a tool for stabilization/regulation/asymptotic tracking of both linear and nonlinear systems. We first present results for nominal design and then describe the design of adaptive controllers in the presence of parametric uncertainties. These uncertainties are assumed to be temporally constant, but are allowed to be spatially varying. We show that, in most cases, the distributed design yields controllers with architecture similar to that of the original plant. |
12,531 | Please write an abstract with title: Normal-Incidence Infrared Silicon Photodetectors Based on Surface-State Absorption and Their Applications, and key words: Sensitivity, Surface waves, Absorption, Optical device fabrication, Surface emitting lasers, Lasers and electrooptics, Silicon. Abstract: We fabricated and tested a normal-incidence infrared silicon photodetector based on surface-state absorption for free-space optical applications. It featured -46-dBm sensitivity and near transparency at 1560-nm wavelength as well as broad spectral photoresponse. |
12,532 | Please write an abstract with title: Novel measurement system for grounding impedance of substation, and key words: Impedance measurement, Grounding, Substations, Electrodes, Noise measurement, Voltage, Frequency measurement, Soil measurements, System testing, Interference elimination. Abstract: In order to measure the grounding impedance of a grounding system more precisely and easily, two key problems of the measurement system: the location of the voltage electrode and the elimination of the noise and interference must be conquered. The new theoretical analysis and measurement system of the grounding impedance based on short-current lead wire and a swept frequency ac source is proposed. The compensating position of the voltage electrode to obtain the real grounding impedance is evaluated by analyzing the soil structure, the grounding system under test, and the position of the current electrode. This new system measures the ground impedance at several frequencies other than power frequency, then interpolates them to acquire the ground impedance at the power frequency. The mutual inductance between the potential and current wires is analyzed and eliminated. The industrial computer-based grounding impedance measurement system is developed and the analysis software is programmed. A field test was performed and compared with the traditional method in the substation and the novel system worked well. |
12,533 | Please write an abstract with title: Reconfigurable E-band Receiver Development for Joint Communication and Sensing, and key words: Noise figure, Low-noise amplifiers, Architecture, Receivers, Bandwidth, Silicon, Sensors. Abstract: In this paper, a co-design methodology including link level simulation for an E-band reconfigurable receiver is presented. Receiver building blocks operating at 71 GHz- 76 GHz are developed to meet the needs of joint communication and sensing, targeted at smart systems for automotive applications. A reconfigurable architecture is proposed to reduce the silicon area, power consumption and other overheads of the realization. In a direct conversion architecture, the low noise amplifier (LNA) and mixer are designed to meet the wide bandwidth of such a mmWave system. The differential LNA provides a gain of 22.2 dB and a noise figure of 1.97 dB at 73.5 GHz. The mixer achieves a voltage gain of 6.6 dB and a noise figure of 7.8 dB. With the help of a Python based simulation framework, the feasibility of a joint communications/radar system is shown, by embedding a model of the circuit behaviour into a physical-layer simulation. |
12,534 | Please write an abstract with title: A Zeno-Free Distributed Self-Triggered Secondary Control Scheme for Islanded Microgrids, and key words: Couplings, Simulation, Decentralized control, Asia, Microgrids, Behavioral sciences, Frequency control. Abstract: Distributed secondary control of microgrids is usually based on continuous-time-based control and communication assumption, which is neither economical nor efficient. In this paper, a distributed self-triggered control strategy is proposed based on the signum function to reduce the computation and communication requirements. With the self-triggered distributed controller, each DG only makes decision and propagates information to its neighbors at the specific event times, rather than continuously. To monitor the events, a linear clock is established according to the local consensus error and a preset convergence error, and hence the controller can exclude Zeno behavior naturally. By implementing the self-triggered distributed control for active power sharing and implementing a local frequency restoration control, the secondary control of islanded microgrids can be achieved distributedly with very less control actions and communications. Simulation results illustrate the validation of the proposed control scheme. |
12,535 | Please write an abstract with title: Real time dynamic receive apodization for an ultrasound imaging system, and key words: Ultrasonic imaging, Real time systems, Apertures, Very large scale integration, Image resolution, Signal resolution, Field programmable gate arrays, Spatial resolution, Delay effects, Pipeline processing. Abstract: This paper proposes an algorithm and its VLSI implementation to generate the aperture weighting coefficients for an ultrasound imaging system in real time. The side lobe reduction capability of the proposed scheme has been compared with existing methods and satisfactory results have been obtained. The design has been implemented using XCV2000EBG560 Xilinx FPGA and for a typical 64 channel beamformer (100 scan lines, 512 scan points on each line) found to operate at 40 frames/s. Further speed enhancement in the existing design, if necessary, can easily be made by just using identical blocks in parallel and very small change in the control structure. |
12,536 | Please write an abstract with title: A semidefinite programming approach to optimal unambiguous discrimination of quantum states, and key words: Quantum mechanics, Information theory, Sufficient conditions, Time measurement, Polynomials, Information processing, Information retrieval, Collaborative work, Subcontracting, Instruments. Abstract: We consider the problem of unambiguous discrimination between a set of linearly independent pure quantum states. We show that the design of the optimal measurement that minimizes the probability of an inconclusive result can be formulated as a semidefinite programming problem. Based on this formulation, we develop a set of necessary and sufficient conditions for an optimal quantum measurement. We show that the optimal measurement can be computed very efficiently in polynomial time by exploiting the many well-known algorithms for solving semidefinite programs, which are guaranteed to converge to the global optimum. Using the general conditions for optimality, we derive necessary and sufficient conditions so that the measurement that results in an equal probability of an inconclusive result for each one of the quantum states is optimal. We refer to this measurement as the equal-probability measurement (EPM). We then show that for any state set, the prior probabilities of the states can be chosen such that the EPM is optimal. Finally, we consider state sets with strong symmetry properties and equal prior probabilities for which the EPM is optimal. We first consider geometrically uniform (GU) state sets that are defined over a group of unitary matrices and are generated by a single generating vector. We then consider compound GU state sets which are generated by a group of unitary matrices using multiple generating vectors, where the generating vectors satisfy a certain (weighted) norm constraint. |
12,537 | Please write an abstract with title: Jamming Modulation: Make Enemies Become Friends, and key words: Channel capacity, Broadband amplifiers, Transmitters, Simulation, Modulation, Focusing, Receivers. Abstract: This paper presents a novel active anti-jamming (AAJ) scheme for a jammed channel to enhance the communication between a transmitter node (TN) and receiver node (RN), where the TN actively exploits the jamming signal as a carrier to send messages. Specifically, the TN is equipped with a programmable-gain amplifier (PGA), which is capable of re-modulating the jamming signals for jamming modulation (JM). Under this setup, we first introduce an energy detector to extract the desired messages by distinguishing different energy levels of the received signals. Then, We investigate the channel capacity of the jammed channel enabled with the AAJ scheme. We also derive the semi-closed-forms of the channel capacity and the corresponding optimal input distribution for the binary input and continuous output channel. Finally, simulation results show that the proposed AAJ scheme allows the TN to communicate with the RN even under extremely strong and/or broadband jamming. Moreover, the channel capacity of the AAJ scheme outperforms that of the direct transmission (DT) when the jamming-to-noise ratio (JNR) at the RN is relatively high. |
12,538 | Please write an abstract with title: Angle and space diversity comparisons in the urban area [mobile communications], and key words: Urban areas, Fading, Diversity methods, Transmitting antennas, Array signal processing, Receiving antennas, Performance analysis, Bit error rate, Telecommunications, Information analysis. Abstract: In this paper, we have analyzed the performance of the angle diversity when the average signal strengths from angularly separated channels are different. And we have compared the space diversity and the angle diversity not only using the diversity gain but also using the received signals' mean SNR. And we have shown that the angle diversity can have a good performance in the urban area after analyzing the data collected from real environments. |
12,539 | Please write an abstract with title: Surface wave character on slabs with negative electrical permittivity or negative magnetic permeability, and key words: Surface waves, Slabs, Permittivity, Permeability, Metamaterials, Magnetic materials, Tellurium, Microwave devices, Equations, Microwave propagation. Abstract: Characteristics of surface wave modes on a planar slab with either negative permittivity or negative permeability are studied. It is shown that the slab is a monomode structure and supports a TM mode when the permittivity is negative and TE mode when the permeability is negative. It is shown that a tightly guided surface wave mode can exist on a slab with vanishingly small thickness. This should have applications in miniaturizing microwave components. |
12,540 | Please write an abstract with title: Joint Centrality Estimation and Graph Identification from Mixture of Low Pass Graph Signals, and key words: Conferences, Signal processing algorithms, Low-pass filters, Estimation, Mixture models, Signal processing, Acoustics. Abstract: This paper proposes a mixture model of low pass filtered graph signals. Our aim is to jointly estimate the eigen-centrality vectors for the underlying graphs and identify the graph signal samples with their corresponding graphs, without knowing the graph topology a-priori. The problem is challenging as the observed graph signals lack any obvious identity with their associated graphs. We leverage a low-rank plus sparse structure of the unknown parameters to de-rive a customized expectation-maximization (EM) algorithm for the joint problem. Our algorithm assumes general excitation and does not require prior knowledge of the graph topology. Numerical experiments show the efficacy of our customized EM algorithm. |
12,541 | Please write an abstract with title: Generating Multiview Hand Gestures with Conditional Adversarial Network, and key words: Training, Image recognition, Shape, Image color analysis, Gesture recognition, Generative adversarial networks, Linear programming. Abstract: Gesture recognition is one interesting and important topic of research. However, many a times the recognition fails due to self-occlusion in the gesture images. To overcome this problem generally, multiviews are used for hand gesture recognition. Unfortunately, not many multiview gesture datasets are publicly available for conducting research on this topic. A solution to this may be to create multiple views of one particular gesture from one given single view of the same gesture using some gesture synthesis technique. In view of this, we propose a Generative Adversarial Network (GAN) based gesture synthesis model that uses conditional translation. Conditioning the translation model provides appearance information for generating the target view. Various combinations of losses are used as objective functions for training the GAN. The proposed method is experimentally evaluated by comparing the artificially generated gesture images to the original multiview gesture images available in the HGM-4 dataset. The generated images are proved to be highly photorealistic, allowing them to be used reliably in multiview gesture recognition research. |
12,542 | Please write an abstract with title: A Generic Software Architecture for PoE Power Sourcing Equipment, and key words: Software architecture, Conferences, Ethernet, Software, Hardware, Real-time systems. Abstract: Many hardware solutions for Power over Ethernet (PoE) Power Sourcing Equipment (PSE) exist, with slightly varying feature sets. A software solution is needed for interaction with the PSEs, and for managing a power budget across several PSEs. A generic interface is desirable, as well as generic software components that can be used in support of several PSE solutions. In this paper we present a union of features and real-time requirements for three hardware solutions, and the development of a generic software architecture. |
12,543 | Please write an abstract with title: Stacking Model-based Method for Traction Motor Fault Diagnosis, and key words: Stacking, Circuit faults, Support vector machines, Training, Data models, Feature extraction, Traction motors. Abstract: An ensemble learning method is proposed to improve low classification accuracy and weak anti-noise ability in traction motor fault diagnosis. This paper adopts stacking model to stack SVM, Xgboost and Lightgbm. Comparison between stacking and commonly used single model is further conducted in the cases of the noise and without noise. The results show the advantages of the stacking model-based method. |
12,544 | Please write an abstract with title: Artificial Intelligence Techniques- Boon for Industry 4.0, and key words: Performance evaluation, Terminology, Virtual assistants, Market research, Artificial intelligence, Task analysis, Creativity. Abstract: Adaptability, communication and technical skills, decision capability, team management, customer management skills, and creativity are all characteristics of an effective person. Previously, an assistant was in charge of tasks assigned by an individual and was accountable for those tasks. Tasks were assigned to an assistant, who will handle them in the absence of an individual. However, additional terminologies are added along with plethora of responsibility. Technology has been overlapped and taken away a work of assistant and get replaced by a virtual assistant in the form of computer, small device, and robots can be small signed contract over internet, which is meant for daily routine task that usually human being can perform but here creativity is still a challenge. Artificial Intelligence plays a major role in building virtual assistant and performs intelligent computation and systems evolved and trained with number of samples to acquire related knowledge through perception and learning. Various techniques have been adopted for customized or standard applications like control, prediction, classification and optimization of applications. This paper discusses about the current trends and techniques of Artificial Intelligence [AI] with latest technologies for structured and unstructured applications. |
12,545 | Please write an abstract with title: Extract list data from semi-structured document using clustering, and key words: Data mining, Clustering algorithms, Databases, Airports, Catalogs, Stock markets, Computer science, Text mining, Humans, Computer applications. Abstract: This paper is concerned with list data extraction from semi-structured documents. By list data extraction, we mean extracting data from lists and grouping it by rows and columns. List, which has structured characteristics, is used to store highly structured and database-like information in many semi-structured documents, such as business annual reports, online airport listings, catalogs, hotel directories, etc. List data extraction is of benefit to text mining applications on semi-structured documents. Several research efforts have been done on structured data extraction from semi-structured documents by utilizing the word layout and arrangement information. However, as far as we know, few studies have been sufficiently investigated on list data extraction making use of the semantic information previously. In this paper, we propose a clustering based method making use of not only the layout and arrangement information but also the semantic information of words for this extraction task. We show experimental results on plain-text annual reports from Shanghai Stock Exchange, in which 73.49% of the lists were extracted correctly. |
12,546 | Please write an abstract with title: A conditioning interval based on superconditionals and superpower sets, and key words: Q measurement, Electric variables measurement, Measurement standards, Probability, Algebra, Upper bound, Extraterrestrial measurements, Frequency, Probabilistic logic, Equations. Abstract: A natural measure of probabilistic equality between sets leads to two measures of probabilistic conditioning that form the endpoints of a conditioning interval (P, Q). The interval's lower bound is the standard conditional probability or what we call the "subconditional" P that describes the probability of a subset relation. The upper bound is a new "superconditional" Q that describes the probability of the corresponding superset relation. These dual conditioning operators correspond to dual set collections and enjoy optimality relations with respect to these set collections. The subconditional operator corresponds to the usual "power set" of a given set. The dual superconditional operator corresponds to what we call the "superpower set" or the set of all supersets of the given set. The two dual conditioning operators obey dual Bayes theorems but differ in how they respond to statistical independence. |
12,547 | Please write an abstract with title: The Use of Model Predictive Control in AC Drives for Mining Applications, and key words: Industries, Electromagnetic interference, AC motors, Inverters, Safety, Power harmonic filters, Predictive control. Abstract: Underground mining environment poses unique challenges for power electronics based motor drives. In addition to high performance, the expectations include minimization of conducted and radiated EMI, and satisfying specific safety standards and regulations. It is argued in this paper that Model Predictive Control (MPC) used with AC motor drives can meet these challenges, due to its flexible and multi-objective nature. This paper proposes solutions to overcome the existing barriers in MPC application to AC drives. It aims to develop a high performance AC drive that minimizes conducted and radiated EMI, and suppresses harmonic resonances. The results are supported by simulations and experiments. |
12,548 | Please write an abstract with title: Deep Reinforcement Learning for Cooperative Edge Caching in Vehicular Networks, and key words: Performance evaluation, Simulation, Collaboration, Reinforcement learning, Quality of service, Throughput, Software. Abstract: In order to enable more and more multimedia content to be shared in the vehicular network, edge caching is a promising approach to cache content near the vehicles to reduce the burden of communication link and improve quality of service. However, the high mobility of vehicles and change in content popularity bring new challenges to edge caching in dynamic environment. Under the limitation of cache capacity, we propose a collaborative caching strategy in vehicular network to maximize the data throughput obtained from edge devices. Specifically, we first use Hawkes process to adapt to the dynamic change of contents' popularity. Then, a cooperative content caching scheme based on deep reinforcement learning (DRL) is proposed. Finally, the performance of the scheme is evaluated by simulation experiments. |
12,549 | Please write an abstract with title: Standardization of mobile phone positioning for 3G systems, and key words: Standardization, Mobile handsets, FCC, Global Positioning System, Wireless communication, Personal communication networks, Wideband, Satellite broadcasting, Manufacturing, Multiaccess communication. Abstract: Finding the location of the mobile phone is one of the important features of the 3G mobile communication system. Many valuable location-based services can be enabled by this new feature. Telecommunication managers and engineers are often puzzled by location terminologies and techniques as well as how to implement them, since location systems are not natural evolution from past generations of telecommunication systems. In this paper, we discuss briefly why locating mobile phone becomes a hot topic and what technologies are being studied. We then describe and clarify the latest standards issues surrounding the positioning methods specified for 3G systems. These include cell-ID-based, assisted GPS, and TDOA-based methods, such as OTDOA, E-OTD, and A-FLT. |
12,550 | Please write an abstract with title: Keyphrase generation for Vietnamese administrative documents: a collaborative approach, and key words: Quality of service. Abstract: Keyphrases of a given document can be considered as its condensed summary. Unsupervised models focus on extracting keyphrases based only on the information contained in that document without interacting with other documents. While a good performance supervised learning model for keyphrase generation requires a massive effort to build training data, which can not generalize to new domains. Moreover, according to human perception, a user would comprehend the topic expressed in a document better if that user has already read other documents that express the same topic. Based on the above idea, we proposed a collaborative keyphrase generation system (CollabKG): a novel semi-supervised method by leveraging limited labeled data. The amount of labeled data will be enriched over time by the user. In our work, we conduct research on a large scale dataset consisting of 500,000 Vietnamese administrative documents. In CollabKG, each document is represented as a feature vector, and a cluster pruning algorithm is employed to accelerate finding the most similar documents. The generated keyphrases were manually evaluated for relevance and accuracy. In the final, the result we achieved shows high ratification. Therefore, we can conclude that CollabKG has good performance and fits a real-time system. |
12,551 | Please write an abstract with title: A Novel Energy Sharing Framework for a Residential Community, and key words: Electrical engineering, Privacy, Schedules, Asia, Load management, Optimization. Abstract: The local energy sharing in a residential community has becoming a research hotspot in the area of distribution system. Designing a transparent energy sharing price scheme, ensuring users who participate in the energy sharing to gain benefits, and distributing the cost savings fairly are three key factors for establishing the local energy trading market. In this paper, we propose a novel energy sharing framework among residential users (RUs) with considering the demand response. First, an individual cost optimization is solved to find the potential buyers and sellers in every time slot, and further to calculate the energy sharing price. Then, an energy sharing problem is formulated, in which the interest of each RU is guaranteed by an incentive constraint. Finally, a redistribution problem is proposed to attack the problem of multiple energy sharing schedules and to recalculate the payoffs. The results show that the RUs can gain benefits via energy sharing and it is necessary to carry out the redistribution problem. |
12,552 | Please write an abstract with title: The instrumental software complex for creating computer tutorial systems, and key words: Tutorial, Instruments, Application software, Multimedia systems, Modems, HTML, Computer science education, Information systems, Educational technology, Graphics. Abstract: In this paper the software complex for creating computer tutorial systems is presented. It can be used by teachers for developing multimedia tutorial projects on their courses. The description of main features of the complex is provided. |
12,553 | Please write an abstract with title: A submicron VLSI memory with a 4b-at-a-time built-in ECC circuit, and key words: Very large scale integration, Error correction codes, Circuits, CMOS technology, Preamplifiers, MOSFETs, Voltage, MOS devices, Wiring, Random access memory. Abstract: THIS PAPER WILL REPORT ON AN experimental 1Mb dynamic memory, utilizing a 4 bit-at-a-time Error Checking and Correcting (ECC) circuit, and a high-sensitivity distributed sense circuit. A 1Mb DRAM using a 20μ^2 cell was designed and fabricated with an 0.8~ CMOS process |
12,554 | Please write an abstract with title: Face Recognition Using Eigenface Algorithm on Laptop Camera, and key words: Face recognition, Training, Computer science, Software algorithms, Principal component analysis, Portable computers, Hidden Markov models. Abstract: The eigenface algorithm is a collection of eigenvectors used for face recognition through computers. The face recognition system is part of image processing that recognizes faces based on imagery that is stamped and stored in an image file in JPEG format. Face recognition problems can be solved through the implementation of an algorithm. The algorithm used in this study is the eigenface algorithm. The input image is stamped through a laptop camera with a size of 320 pixels x 240 pixels and reduced to 100 pixels x 100 pixels to be saved as a master file of the face with various facial expressions is a forward-facing position without a smile, facing forward a thin smile, facing forward with a big smile, head tilted to the left, and head tilted to the right. The purpose of this research is to build face recognition software using eigenface algorithms. The results showed that faces could be recognized using the eigenface algorithm with an average accuracy rate of 85%. |
12,555 | Please write an abstract with title: An Open-Source Scenario Architect for Autonomous Vehicles, and key words: Focusing, Safety, Vehicle dynamics, Autonomous vehicles, Open source software, Testing, Graphical user interfaces. Abstract: The development of software components for autonomous driving functions should al-ways include an extensive and rigorous evaluation. Since real-world testing is expensive and safety-critical - especially when facing dynamic racing scenarios at the limit of handling - a favored approach is simulation-based testing. In this work, we pro-pose an open-source graphical user interface, which allows the generation of a multi-vehicle scenario in a regular or even a race environment. The under-lying method and implementation is elaborated in detail. Furthermore, we showcase the potential use-cases for the scenario-based validation of a safety assessment module, integrated into an autonomous driving software stack. Within this scope, we introduce three illustrative scenarios, each focusing on a different safety-critical aspect. |
12,556 | Please write an abstract with title: Novel Equalities for Stability Analysis of Asynchronous Sampled-Data Systems, and key words: Sampled data systems, Stability criteria, Integral equations, Linear matrix inequalities, Symmetric matrices, Numerical stability. Abstract: This paper is concerned with the stability analysis problems of asynchronous sampled-data systems with use of a input-delay approach, where a sampled-data system can be reformulated into a time-delay system having incremental delays. For these systems, this paper introduces a new looped-functional to utilize both integral states and their interval-normalized ones. Utilization of these two types of integral state variables in a construction of stability conditions has been effective in reducing the conservatism. Further, generalized equalities are proposed for the case utilizing these two types of integral states. The sampled-data system formulation consists of a sampled state, a system state and its derivative. Here, the sampled state between two consecutive sampling instants is a constant value and thus can be eliminated by an integration with Legendre polynomials of positive degrees. Consequently, the system formulation turns into the equalities consisting of state variables, sampled-state variables, integral state variables and their interval-normalized ones without additional slack matrices. Based on the proposed equalities, a large computational burden can be reduced while reducing the conservatism. The effectiveness of the proposed approaches is demonstrated via three numerical examples for the stability analysis of asynchronous sampled-data systems. |
12,557 | Please write an abstract with title: Do we think in the same way in conference calls discussion? Differences in Cognitive Patterns in Online and Offline Problem-Solving Discussions, and key words: Human computer interaction, Cognitive processes, Pandemics, Design methodology, Buildings, Collaboration, Entropy. Abstract: During the pandemic, people gradually realized the limitations of remote problem-solving collaboration. Thus far, the impact of online platforms on problem-solving cognitive processes has not been thoroughly investigated, despite the active use of such processes in remote work. This study analyzes the differences in cognitive patterns between online and offline problem-solving meetings. Discussion data containing approximately 5,000 utterances were subjected to entropy and content analysis. The results showed a distinct difference in cognitive patterns in discussions conducted on various platforms, as online discussions require more cognitive effort for technological equipment operation. Online meeting solutions were found to be less developed than those generated in offline meetings. According to the results obtained, we propose a series of high-level platform-neutral steps for small-scale problem-solving. The findings not only contribute to building platform-specific facilitation guidelines, but they also aid research on human-computer interaction from the perspective of online discussion platform designs and methods for cognitive process evaluation. |
12,558 | Please write an abstract with title: Graph Signal Denoising Via Unrolling Networks, and key words: Training, Laplace equations, Noise reduction, Signal processing algorithms, Mean square error methods, Signal processing, Graph neural networks. Abstract: We propose an interpretable graph neural network framework to denoise single or multiple noisy graph signals. The proposed graph unrolling networks expand algorithm unrolling to the graph domain and provide an interpretation of the architecture design from a signal processing perspective. We unroll an iterative denoising algorithm by mapping each iteration into a single network layer where the feed-forward process is equivalent to iteratively denoising graph signals. We train the graph unrolling networks through unsupervised learning, where the input noisy graph signals are used to supervise the networks. By leveraging the learning ability of neural networks, we adaptively capture appropriate priors from input noisy graph signals, instead of manually choosing signal priors. To validate the proposed methods, we conduct extensive experiments on both real-world datasets and simulated datasets, and demonstrate that our methods have smaller denoising errors than conventional denoising algorithms and state-of-the-art graph neural networks. For denoising a single smooth graph signal, the normalized mean square error of the proposed networks is around 40% and 60% lower than that of graph Laplacian denoising and graph wavelets, respectively. |
12,559 | Please write an abstract with title: Handey: A robot system that recognizes, plans, and manipulates, and key words: Artificial intelligence, Laboratories, History, Mobile robots, Robotic assembly, Laser modes, Layout, Path planning, Motion control, Buildings. Abstract: We describe a robot system capable of locating a part in an unstructured pile of objects, choose a grasp on the part, plan a motion to reach the part safely, and plan a motion to place the part at a commanded position. The system requires as input a polyhedral world model including models of the part to be manipulated, the robot arm, and any other fixed objects in the environment. In addition, the system builds a depth map, using structured light, of the area where the part is to be found initially. Any other objects present in that area do not have to be modeled. |
12,560 | Please write an abstract with title: Unified Voltage Balancing Feedforward for Three-Level Boost PFC Converter in Discontinuous and Critical Conduction Modes, and key words: Capacitors, Customer relationship management, Switches, Feedforward systems, Inductors, Capacitance, Steady-state. Abstract: This brief presents a unified voltage balancing feedforward (UVBFF) for three-level boost (TLB) power-factor-correction (PFC) circuit in discontinuous and critical conduction modes. In general, the topology in both modes puts emphasis on low-cost system. Thus, electrolytic capacitors with wide-tolerance are commonly used at outputs and voltage unbalance is inevitable even under symmetric operations of two boost cells. In this brief, three-level switching capability of TLB PFC is introduced and asymmetric on-time feedforward for main switches is proposed. The proposed UVBFF can be realized by a single equation and harmonized with conventional feedback voltage-loop so that easy implementation is the key merit. The effectiveness of UVBFF is proven by analyses and experimental results. |
12,561 | Please write an abstract with title: Optimal Solution for Model Predictive Current Control of Surface Mounted Permanent Magnet Synchronous Motor Based on Trigonometrical Substitution, and key words: Voltage control, Stators, Predictive models, Steady-state, Cost function, Predictive control, Mathematical models. Abstract: This paper proposes an analytic solution of the optimal voltage vector for model predictive current control, in order to achieve the excellent dynamic and steady-state current performance of surface mounted permanent magnet synchronous motor (SMPMSM). The voltage vector in the stationary reference frame is firstly defined by its phase and amplitude. Through coordinate transformation and the predictive model of SMPMSM drive system, the cost function related with the voltage vector is established. Then it can be transformed into two different forms which are only relevant to the phase or amplitude of voltage vector by trigonometrical substitution. Next, the analytic solution of optimal voltage vector with continuous phase and amplitude is easy to derive by the two different forms of cost function with extremum. The optimal voltage vector is finally synthesized by three-vector method, and the experiments under various operating conditions are implemented to verify the effectiveness of the proposed method. |
12,562 | Please write an abstract with title: Linear interference suppression in MIMO communication for WCDMA downlink, and key words: Interference suppression, MIMO, Multiaccess communication, Downlink, Receiving antennas, Multiple access interference, Transmitting antennas, Equalizers, Antennas and propagation, Code division multiplexing. Abstract: A multiple transmit and receive antennas with spatial multiplexing are planned for wideband code division multiple access (WCDMA) systems. Thus, multiple-access interference (MAI) and inter-antenna interference (IAI) have to be mitigated. In this paper, a new linear receiver applicable for downlink employing long scrambling code is presented and compared to known ones. These receivers equalize the channel and, thus, suppress MAI. Also IAI is mitigated by equalizing over the receive antennas. The proposed receiver is shown to provide a good performance-complexity trade-off for practical WCDMA terminal receivers. |
12,563 | Please write an abstract with title: MCEA: A Resource-Aware Multicore CGRA Architecture for the Edge, and key words: Performance evaluation, Program processors, Multicore processing, Parallel processing, Energy efficiency, Fabrics, Reconfigurable architectures. Abstract: Modern IoT edge devices must address the unpredictability of applications with strict power and temperature constraints. In this scenario, heterogeneous multicore architectures have been driving many solutions due to their high energy efficiency and ability to exploit Task-Level Parallelism. However, while their performance is highly dependent on the quality of the scheduling, their adaptability and generality get restricted when they use fixed-size hardware accelerators. Considering that, this work proposes MCEA, a transparent and power-adaptive multicore reconfigurable architecture. MCEA dynamically adapts the hardware to the workload rather than migrating applications; and predicatively sizes its reconfigurable accelerators without prior knowledge of the applications' behaviors. For that, MCEA uses a synergistic and online profiling system with power gating, achieving performance levels near of homogeneous architectures with fixed and oversized reconfigurable fabric (within 99% on average) while presenting energy efficiency levels similar to heterogeneous architectures statically tuned to a specific workload (within 99% on average). Therefore, MCEA improves Energy-Delay Product in 1.55x and 1.21x when compared to their heterogeneous and homogeneous counterparts, and in 4.72x when compared to a multicore with OoO processors only. We also show that MCEA outperforms a state-of-the-art reconfigurable architecture for the edge under the same power envelope. |
12,564 | Please write an abstract with title: A Review on Electric Bus Charging Scheduling from Viewpoints of Vehicle Scheduling, and key words: Schedules, Job shop scheduling, Power system dynamics, Sociology, Power system stability, Dynamic scheduling, Batteries. Abstract: Electric bus based public transportation systems have great potential to mitigate urban traffic congestion caused by increasing growth of urban population and air quality degradation caused by intensively using diesel-based private cars because electric buses operate more efficiently and quietly than diesel buses and contribute significantly to decrease negative impacts on the environment by reducing emissions and noise. However, electric buses suffer from the limited battery range and high charging cost resulting from high charging power demands. Consequently, this poses new challenges for planning and scheduling public electric bus systems because the schedulers need to form reasonable charging strategies to recharge batteries during daily operations so that electric buses become economically viable. This study attempts to provide a new angle to review the latest development of charging scheduling for electric buses from the viewpoints of electric vehicle scheduling problems to facilitate coordination between charging schedules and vehicle scheduling for improving economic attractiveness. |
12,565 | Please write an abstract with title: A Filtering Hemispherical Dielectric Resonator Antenna, and key words: Slot antennas, Filtering, Bandwidth, Dielectric resonator antennas, Dielectrics, Passband, Impedance. Abstract: A filtering hemisphere dielectric resonator (DR) antenna (DRA) is presented. It consists of a conventional hemisphere DR, a ladder-like feeding line, and three slots etched in the ground. In this antenna, three modes, which are the fundamental TE111 DR mode and two slot modes are excited simultaneously. By making use of the mode-cancelling effect, two independently tunable radiation nulls are obtained beside the passband, producing filtering responses. Simulated results show that our antenna has a -10-dB impedance bandwidth of 17.4%, a gain of ~5.7 dBi, and a suppression level of 19 dB. |
12,566 | Please write an abstract with title: Robust and Adaptive Radar Elliptical Density-Based Spatial Clustering and labeling for mmWave Radar Point Cloud Data, and key words: Radar Signal Processing, Clustering, Radar Clustering, REDBSCAN, DBSCAN, Point Cloud. Abstract: In this paper, a robust and adaptive radar point cloud clustering algorithm, named radar elliptical density-based spatial clustering of applications with noise (REDBSCAN), is presented. The proposed algorithm shows better clustering results for adapting to the arbitrary shape of targets as well as any number of targets comparing with traditional clustering methods. The algorithm is presented and is implemented in experiments using the state-of-art mmWave radar sensor with multiple-input multiple-output (MIMO) antennas. The related signal processing chain and the clustering outcomes are also discussed. |
12,567 | Please write an abstract with title: Privacy-Preserving Aggregation in Federated Learning: A Survey, and key words: Protocols, Privacy, Servers, Collaborative work, Cryptography, Data privacy, Computational modeling. Abstract: Over the recent years, with the increasing adoption of Federated Learning (FL) algorithms and growing concerns over personal data privacy, Privacy-Preserving Federated Learning (PPFL) has attracted tremendous attention from both academia and industry. Practical PPFL typically allows multiple participants to individually train their machine learning models, which are then aggregated to construct a global model in a privacy-preserving manner. As such, Privacy-Preserving Aggregation (PPAgg) as the key protocol in PPFL has received substantial research interest. This survey aims to fill the gap between a large number of studies on PPFL, where PPAgg is adopted to provide a privacy guarantee, and the lack of a comprehensive survey on the PPAgg protocols applied in FL systems. This survey reviews the PPAgg protocols proposed to address privacy and security issues in FL systems. The focus is placed on the construction of PPAgg protocols with an extensive analysis of the advantages and disadvantages of these selected PPAgg protocols and solutions. Additionally, we discuss the open-source FL frameworks that support PPAgg. Finally, we highlight significant challenges and future research directions for applying PPAgg to FL systems and the combination of PPAgg with other technologies for further security improvement. |
12,568 | Please write an abstract with title: A sheet type tactile sensor using pressure conductive rubber with electrical-wires stitches method, and key words: Tactile sensors, Rubber, Robot sensing systems, Sensor phenomena and characterization, Fingers, Chemical sensors, Mechanical sensors, Skin, Prototypes, Semiconductor films. Abstract: A new type of tactile sensor using pressure conductive rubber with electrical-wires stitches method was presented. The sensor is thin and flexible. In order to verify the effectiveness of tactile sensor grasping sphere and column, an experiment was conducted using a robot hand equipped with a tactile sensor. The sensor structure and characteristics were described. The sensor control system and experimental results were also described. Moreover, as an example of application, the transfer of tactile sense information detected by this tactile sensor through the nerve system of a human's arm, was presented. |
12,569 | Please write an abstract with title: Ultrafast spectroscopy of excitons and polaron pairs in organic photodetectors, and key words: Photoconductivity, Excitons, Photoconducting materials. Abstract: Summary form only given. We use a femtosecond two pulse excitation scheme and monitor the charge generation directly by detecting the photocurrent correlation. We conclude that in organic photodetectors a significant portion of polaron pairs is strongly bound such that charge carrier generation only occurs after reexcitation by a second laser pulse. Polaron pairs are formed as intermediate states in pure conjugated polymers as well as in fullerene/polymer blend systems. |
12,570 | Please write an abstract with title: Application of Data Mining Technology in Sports Data Analysis in Colleges and Universities, and key words: Industries, Analytical models, Data analysis, Data structures, Data models, Data mining, Information technology. Abstract: Data mining is a deep data analysis method, which can mine useful information from huge data. At present, data mining has been used in various fields. For colleges and universities, the use of data mining technology can analyze and process the relevant sports data, which is helpful to speed up the development of sports information in colleges and universities. This paper expounds the definition and principle of data mining technology, analyzes the process of using data mining technology in data analysis of college sports, and the concrete application of data mining technology in data analysis of college sports. |
12,571 | Please write an abstract with title: Accurate Detection and Localization of Unmanned Aerial Vehicle Swarms-Enabled Mobile Edge Computing System, and key words: Location awareness, Linear systems, Superresolution, Numerical simulation, Unmanned aerial vehicles, Robustness, Edge computing. Abstract: Unmanned aerial vehicle (UAV) swarms-enabled mobile edge computing system can be deployed in critical industrial zones for monitoring. Meanwhile, its malicious use may bring great threat to the security, and the accurate detection, and localization are important. UAV swarms show characteristics of the high density, small radar cross section, far range, and time-varying motion, and have posed formidable challenges to the accurate detection and localization. In this article, the accurate detection and localization of UAV swarms are investigated, and an effective method is proposed based on the Dechirp-keystone transform, and frequency-selective reweighted trace minimization. It inherits high robustness of the coherent long-time integration technique and superresolution of the gridless sparse technique. Mathematical analyzes and numerical simulations validate its superiorities in accurate detection and localization of UAV swarms. |
12,572 | Please write an abstract with title: Multi-Stage Organic Logic Circuits Using Via-Hole-Less Metal Interconnects, and key words: Integrated circuit interconnections, Metals, Inverters, Logic gates, Organic thin film transistors. Abstract: Multi-metal interconnection is a crucial technology for the development of large-scale integrated circuits (ICs). However, organic semiconductors are not robust enough to be compatible with conventional lithography-and-etching-based via-forming methods. Thus, an alternative metal interconnect method is required for successful organic IC implementation. In-situ patterning of a dielectric polymer through a shadow mask while depositing in vapor phase possibly addresses the issues in both solvent susceptibility and process complexity. Here we report multi-stage organic logic circuits with a multi-level metal interconnection scheme based on patterned interlayer dielectrics via vapor phase deposition. We implement an exclusive OR circuit composed of four 2-input NAND gates and three-level metal interconnections to demonstrate the potential of the proposed solvent-free metal interconnection scheme. |
12,573 | Please write an abstract with title: QoS enhancement in IEEE 802.11 wireless local area networks, and key words: Intelligent networks, Wireless LAN, Physical layer, Counting circuits, Distributed computing, Stability, Access protocols, Delay, Bandwidth, Gain control. Abstract: A distributed medium access scheme called EDCF, which is adopted in an upcoming standard IEEE 802.11e to allow prioritized medium access for applications with QoS requirements, is described and discussed. Its performance is also evaluated via simulations. |
12,574 | Please write an abstract with title: Computer simulation of an automatic adaptive equalizer for real telephone channels and free data format, and key words: Computer simulation, Adaptive equalizers, Telephony, Delay lines, Distortion, Error correction, Transversal filters, Transmitters, Frequency measurement, Convergence. Abstract: Following a short introduction to two important principles of adaptive channel equalization, a computer simulation of a complete linear transmission and equalization scheme is presented. The model includes the transmitter, a time-dispersive noise-free channel, and an adaptive receiver based on the minimum mean-square error criterion. The equalization algorithm described in the paper allows the transmission of time-discrete analog data pulses at a speed of 3600 baud or more while following slow time variations of channel characteristics. It is shown how the measured frequency characteristics of real telephone lines can be used in the simulation process. Some examples are given of the convergence time and of the ratio of output signal-to-intersymbol interference noise, both as a function of equalizer length. |
12,575 | Please write an abstract with title: Study of Automated Switches Application to Energy Distribution Companies, and key words: Technological innovation, Urban areas, Switches, Distribution networks, Companies, Maintenance engineering, Security. Abstract: This article deals with the development and implementation of the Automated Switch initiative, through the specification, acquisition, installation and integration of protection switches, providing increased network availability and security, which is relevant and beneficial in view of the potential for improvement over service quality indicators that will be achieved through the addition of protection zones and the integration of switches with various functionalities, which are being developed to mitigate several common problems in distribution networks. The study is part of an R&D (Research and Development) project from Enel Distribuição São Paulo, named "Urban Futurability". In addition, the synergy of the switches with the other initiatives of the project promises to increase the availability of information that can be worked on to generate continuous improvements in Enel’s distribution service. The project was carried out in a region with a high-density load with the predominance of commercial consumers, in the city of São Paulo, Brazil. |
12,576 | Please write an abstract with title: A Cost-Efficient QCA XOR-XNOR Topology for Nanotechnology Applications, and key words: Layout, Quantum dots, Computer architecture, Logic gates, Tools, Topology, Integrated circuit modeling. Abstract: Quantum-dot cellular automata (QCA) is an inventive nano level computation that suggests less dimension, less power consumption, with more speed and premeditated as an amplification to the scaling obstacle with CMOS methodology. One of the newest and rising nanotechnologies used today is QCA based on the repulsion of Coulomb. One of the newest and rising nanotechnologies used today is QCA based on the repulsion of Coulomb. Surmised computing is a successful paradigm for energy efficient hardware design in nano-scale. In this article, we proposed a proficient, low complex 2-bit and 3-bit QCA XOR gate has been suggested. Further the suggested QCA XOR gates are utilized to design XOR/XNOR gates and cost efficient 4:2 Encoder and 4:1 Encoder using QCA Designer tool. The proposed QCA XOR gate contains very less number of quantum cells as well as areas as related to its best previous existing QCA layouts. The simulation outcomes illustrate that the suggested architecture outperforms in comparison to best existing counterpart layouts in terms of quantum cell count, area, latency and quantum cost. |
12,577 | Please write an abstract with title: A new full-rate full-diversity orthogonal space-time block coding scheme, and key words: Block codes, Transmitting antennas, Constellation diagram, Space time codes, Symmetric matrices, Quadrature phase shift keying, Receiving antennas, Wireless communication, Maximum likelihood decoding. Abstract: In this work, we present a new space-time orthogonal coding scheme with full-rate and full-diversity. The proposed space-time coding scheme can be used on quaternary phase-shift keyed (QPSK) transceiver systems with four transmit antennas and any number of receivers. An additional feature is that the coded signals transmitted through all four transmit antennas do not experience any constellation expansion. The performance of the proposed coding scheme is studied in comparison with that of 1/2-rate full-diversity orthogonal space-time code, quasi-orthogonal code, as well as constellation-rotated quasi-orthogonal code. Our study shows that the proposed coding scheme offers full rate and outperforms the 1/2-rate orthogonal codes as well as full-rate quasi-orthogonal codes when the signal-to-noise increases. Compared to the constellation-rotated quasi-orthogonal codes (the improved QO scheme), the newly proposed code has the advantage of not expanding the signal constellation at each transmit antenna. The performance of the newly proposed code is comparable to that of the improved QO scheme. |
12,578 | Please write an abstract with title: Improving Acoustic Localization Accuracy by Applying Interaural Level Difference and Support Vector Machine for AoA Outlier Removal, and key words: Location awareness, Support vector machines, Estimation, Acoustics, Anomaly detection. Abstract: In this paper, we propose a novel method for gunshot sound source localization based on range detection by combining steered response power phase transformation (SRP-PHAT) and interaural level difference (ILD) localization for improved localization performance. The conventional SRP-PHAT method is accurate in estimating the Angle of Arrival (AoA). However, the range estimation from SRP-PHAT has low accuracy and high variance. For this reason, we use only the AoA estimate from SRP-PHAT and apply a support vector machine (SVM) for AoA outlier detection. We then use a ILD-based method for range localization to decrease the localization distance error. In contrast to other sound source localization methods which are inadequate for detecting gunshot sound because of its very short impulse, our method is able to detect gunshot sound. |
12,579 | Please write an abstract with title: Load balancing call admission control algorithm (CACA) based on soft-handover in 5G Networks, and key words: 5G mobile communication, Call admission control, OFDM, Conferences, Quality of service, Interference, Radio links. Abstract: Soft-Handover or connected-before-break is a procedure where the user equipment (UE) is always connected to the radio link with no need for synchronization with adjacent cells. Therefore, the user equipment (UE) is connected softly with more than one NodeB at the same time. Due to many reasons such as orthogonality in long-term evolution (LTE), which is based on orthogonal frequency division multiplexing (OFDM), soft-handover is not supported by fourth-generation (4G) systems. On the other hand, 5G systems can support seamless soft-handover between the original cell and neighboring cells. To guarantee a seamless handover in 5G systems with an acceptable quality of service (QoS) for end-users, an intelligent call admission control (CACA) algorithm should be provided. Therefore, a new multi-cell CACA is 5G systems is presented in this paper. The presented CACA is taken into consideration the “cell breathing” phenomena that cause the overloaded cell coverage to shrink. The admission of the user is based on a minimum bit rate to be achieved, a maximum distance from the base station, and a maximum number of active users in the cell. Considering different interference factor values, the presented numerical results reveal the effectiveness of the suggested CACA in balancing the load over the whole network by transferring the traffic from overloaded cells to the neighboring cells with less load, and hence, the overall network performance is improved. To validate the effectiveness of the CACA, some comparative results are shown with and without applying the proposed CACA. |
12,580 | Please write an abstract with title: Design of Intelligent Operation and Maintenance Knowledge Base for Power Metering Verification Device Based on LDA Model, and key words: Power measurement, Costs, Knowledge based systems, Measurement uncertainty, Maintenance engineering, Cognition, Resource management. Abstract: The manual operation and maintenance of the measurement verification device has the problems of low efficiency and error-prone. In this paper, a method for construction of the knowledge base of intelligent metering system is proposed based on the Latent Dirichlet Allocation (LDA). Through the fault similarity calculation method of cosine similarity, input fault phenomenon and output fault processing method, intelligent recommendation of fault processing method is realized. The actual application shows that this knowledge base can improve the operation and maintenance efficiency and reduce the operation and maintenance cost without affecting the measurement verification work. |
12,581 | Please write an abstract with title: Potential-Seebeck-microprobe (PSM): measuring the spatial resolution of the Seebeck coefficient and the electric potential, and key words: Electric variables measurement, Spatial resolution, Electric potential, Temperature sensors, Thermoelectricity, Conducting materials, Conductivity, Semiconductor materials, Probes, Voltage. Abstract: Thermoelectric power generators are typically operating in a large temperature difference; indeed the properties of thermoelectric semiconductors vary with temperature. Thus the overall conversion efficiency is strongly dependent on spatial variations of the material properties according to the temperature profile along the entire thermoelectric generator element. Similarly, a functionally graded module is capable of accomplishing thermal sensors with linearised characteristics over a wide temperature range. The Seebeck-coefficient S is a measure of the electrically active components in a material. Different components in a single unit become visible by measuring the local S with a scanning thermoprobe. This applies accordingly for the electrical conductivity and therefore the behaviour of the material in a certain temperature gradient becomes predictable. A scanning Seebeck microprobe has been combined with the measurement of the electric potential along the surface of semiconducting or metallic material. A heated probe tip is placed onto the surface of the sample under investigation, measuring the Seebeck coefficient. Using a specially designed sample holder, an AC current can be applied to the specimen, allowing for the detection of the voltage drop between one current contact and the travelling probe tip. This voltage is proportional to the electrical conductivity at the tip position. With this technique a spatially resolved imaging of the Seebeck coefficient as well as the electrical conductivity can be performed. Furthermore the electrical contact resistance between different materials becomes visible, e.g., in segmented thermoelectric or other devices. |
12,582 | Please write an abstract with title: Statistical Simulation of Conductor Lay and AC Losses in Multi-Strand Stator Windings, and key words: Phase measurement, Log-normal distribution, Windings, Stator windings, Estimation, Proximity effects, Conductors. Abstract: The multi-strand winding configurations adopted in high-speed electrical machines are susceptible to increased AC losses as a result of proximity effects. Due to the characteristics of the insert winding process, variability can arise in the conductor lay and consequently, the AC losses of as-manufactured windings. Current finite element analysis practices cannot account for this variability resulting in under- or over-conservative AC loss estimates. This paper presents the development of a statistical simulation methodology that can represent the variability in conductor lay and AC losses of a distributed winding. Initial calibration of the methodology is achieved following statistical characterization of experimental AC loss measurements from a batch of industrial machines. The initial calibration of the methodology highlighted that only a limited amount of inter-bundle strand mixing is to be expected in as-manufactured windings, resulting in reduced variability in the expected AC losses compared to other statistical estimation approaches. |
12,583 | Please write an abstract with title: Analysis of the Sampling Rate of Image Reconstruction Using Electromagnetic Waves Leaked From a Monitor, and key words: Computers, Image resolution, Electromagnetic scattering, Liquid crystal displays, Monitoring, Signal resolution, Image reconstruction. Abstract: Leakage electromagnetic waves usually leak from liquid crystal display(LCD) monitors, which are representative output devices of modern computers. In this paper, the image information of electromagnetic waves leaked from a FHD resolution monitor was analyzed using low sampling rate and frame averaging techniques. |
12,584 | Please write an abstract with title: Signal Analysis Methods and Estimation of Oscillation Modes in Modern Electric Power Systems, and key words: Oscillation, decomposition, harmonics, power quality. Abstract: This article describes the use of a modern and disruptive technique to detect oscillations in electrical power systems. The methodology contains the Hilbert-Huang transform aided by the Empirical Mode Decomposition (EMD) to decompose a signal into its intrinsic mode function (IMF) and be able to perform a time-frequency analysis. A tool based on stopping the frequency ranges of oscillations and different frequency modes characteristic of electrical systems is used. |
12,585 | Please write an abstract with title: An Orientation-Aware Anchor-Free Detector for Aerial Object Detection, and key words: Weight measurement, Atmospheric measurements, Refining, Redundancy, Geoscience and remote sensing, Object detection, Detectors. Abstract: Most aerial object detectors mainly adopt anchor-based methods, which require manually designed rough anchors. However, these anchors usually contain background redundancy unrelated to the objects, decreasing detection performance and introducing additional calculations. In this paper, we propose an orientation-aware anchor-free network (OAF-Net) for object detection. OAF-Net first produces coarse oriented boxes by coarse location network based on pixel-level regression and then refines them with aligned features. In particular, we also apply a new metric to measure the orientation-aware center-ness, which is a weighting strategy of positive samples to reduce the different contributions of the low-quality detection boxes. Experiments on the DOTA1.0 and HRSC2016 datasets reveal that OAF-Net outperforms the state-of-the-art in terms of comprehensive detection performance for various objects with different scales and orientations in aerial images. |
12,586 | Please write an abstract with title: Model Stealing Defense with Hybrid Fuzzy Models: Work-in-Progress, and key words: Privacy, Computational modeling, Neural networks, Computer architecture, Predictive models, Security, Edge computing. Abstract: With increasing applications of Deep Neural Networks (DNNs) to edge computing systems, security issues have received more attentions. Particularly, model stealing attack is one of the biggest challenge to the privacy of models. To defend against model stealing attack, we propose a novel protection architecture with fuzzy models. Each fuzzy model is designed to generate wrong predictions corresponding to a particular category. In addition' we design a special voting strategy to eliminate the systemic errors, which can destroy the dark knowledge in predictions at the same time. Preliminary experiments show that our method substantially decreases the clone model's accuracy (up to 20%) without loss of inference accuracy for benign users. |
12,587 | Please write an abstract with title: All-Digital Calibration Algorithms to Correct for Static Non-Linearities in ADCs, and key words: Calibration, Capacitors, Matlab, Computer architecture, Convergence, Computational complexity, Quantization (signal). Abstract: This paper presents all-digital calibration algorithms for correcting static non-linearities in an ADC. A bit-by-bit (BB) calibration is proposed as an alternative to the existing radix calibration. The proposed calibration algorithm is initially demonstrated using a non-uniform ADC model generated in Matlab. A hybrid radix/bit-by-bit calibration is also developed to reduce the computational complexity of BB calibration. The calibration algorithms are then applied to measurement data from two different ADCs: a 6-bit folding-flash; and a 10-bit dual-split capacitor (DSC)-DAC SAR ADC. In both ADC architectures, the BB and hybrid calibrations outperform radix calibration. The BB calibration improved the SNDR and SFDR of the folding-flash ADC from 29.5 dB to 31.9 dB and 33.3 dB to 43.6 dB, respectively. Likewise, after applying the hybrid calibration on the DSC-DAC SAR ADC, the SNDR and SFDR improved from 31.8 dB to 47 dB and 33.6 dB to 58.9 dB, respectively. The hybrid calibration achieves performance similar to that of BB calibration while demonstrating a significant reduction in computational complexity. |
12,588 | Please write an abstract with title: Avoidance of the relapse condition of Prostate Cancer using Super-twisting Sliding Mode Control, and key words: Mathematical model, Prostate cancer, Trajectory, Sliding mode control, Sociology, Statistics, Artificial intelligence. Abstract: Relapse condition refers to the recurrence of cancer after treatment. It depends on both the population of androgen-dependent (AD) cells and androgen-independent (AI) cells. Thus, controlling the population of AD cells and AI cells can prevent occurrence of relapse condition. This has been achieved using sliding mode control (SMC). The SMC produces a chattering effect which is not a desirable condition and therefore a super-twisting SMC is being used to control the number of AD cells as well as AI cells successfully, which reflects the novelty of the work. A comparative analysis between two methods has been shown using MATLAB simulation results. |
12,589 | Please write an abstract with title: Identification of Weak Nodes in AC/DC Hybrid Power Grid Based on Entropy Theory, and key words: Voltage measurement, Power measurement, Hybrid power systems, Power grids, Entropy, Indexes, Load flow. Abstract: With the successive operation of large-scale HVDC transmission system, the cascading failure risk of hybrid grid is also increasing. In the past, the identification of weak nodes does not involve the AC/DC hybrid power grid. Therefore, based on the entropy theory, this paper proposes an integrated entropy index weak node identification method for AC/DC hybrid power grid, which considers the topological structure entropy, power flow transfer entropy and voltage margin entropy, to measure the severity of the fault from the structural characteristics and actual operation characteristics of the hybrid power grid. At the same time, the security evaluation of the modified IEEE39 bus system is carried out, and the effectiveness of the proposed method is verified by the comparison of simulation results and the verification of weak node attack. This method can find the weak nodes in hybrid power grid in time, and can effectively prevent the occurrence of blackout. |
12,590 | Please write an abstract with title: SPOT ground segment operational performances, and key words: Layout, Strips, Delay, Earth, Image segmentation, Artificial satellites, Sensor phenomena and characterization, Sensor systems, Space vehicles, Remote sensing. Abstract: Capacity to collect large amounts of data as well as responsiveness are the main assets of satellite based Earth observation systems. This paper provides some of the operational performances which are currently achieved by the SPOT system. |
12,591 | Please write an abstract with title: Characterization of effects of plane-front solidification and heat treatment on magnetic properties of Bi/MnBi composites, and key words: Heat treatment, Magnetic properties, Bismuth, Magnetization, Annealing, Morphology, Temperature, Magnetic field measurement, Volume measurement, Particle measurements. Abstract: Eutectic Bi/MnBi composites (3.2 volume percent MnBi) have been plane-front directionally solidified using the Bridgman-Stockbarger method. For the growth velocity range investigated, the morphology of the composites consists of an aligned ensemble of MnBi rods with mean rod diameters lying below the theoretical size for single domain behavior. Magnetization as a function of temperature, applied field and angle with respect to the solidification direction was used to characterize the magnetic properties. These measurements have been correlated with particle size distributions and volume fraction data. Previous studies have shown that solidification processing conditions and post-solidification heat treatment significantly affect the magnetic properties due to the presence of a nonequilibrium magnetic phase. The nonequilibrium phase has been isolated by varying the processing parameters and the temperature dependence of its magnetization determined. In addition, the transformation kinetics of the nonequilibrium to the equilibrium MnBi phase was investigated by monitoring the magnetization change during isothermal annealing. The intrinsic coercivity of the equilibrium component was found to depend on whether a given percent of equilibrium phase is produced by directional solidification or post-solidification heat treatment anneal. |
12,592 | Please write an abstract with title: Environmental impact assessment in the case of pooling Moroccan hydrocarbon supply chain resources, and key words: Hydrocarbons, Biological system modeling, Supply chains, Companies, Roads, Sustainable development, Greenhouse effect. Abstract: Logistic resources pooling concept has become a subject of several researches in previous years, related to various activity sectors (transport, warehouse, E-commerce, etc.) to improve logistics chains performance in sustainable development context. The pooling resources (warehouses, transports, platforms, etc.) hydrocarbons supply chain purposes remains few discussed subject in research papers, due to data confidentiality and sector sensitivity. In this paper “transport and storage” pooling concepts will be described, as well as a review of the literature about new organization strategies for sustainable logistics. We present the current supply chain petroleum products model in Morocco (diesel gasoil and gasoline products case), and a simulation of part of hydrocarbon supply chain (case of diesel gasoil) to understand and make clear different parameters. By simulation before and after resources pooling (using ARENA software) we could determine CO2 emissions variation rate to assess the environmental impact regarding to pooling resources case. |
12,593 | Please write an abstract with title: Acousto optically Q-switched and mode locked diode pumped Nd: YVO/sub 4/ laser, and key words: Optical pumping, Laser mode locking, Diodes, Neodymium, Optical resonators, Optical pulse generation, Pulse modulation, Power generation, Mirrors, Resonance. Abstract: The simultaneous Q-switching and mode locking (QML) regime provides the generation of relatively high peak power picosecond pulses train with energies of a few /spl mu/J each in a simple resonator. The acousto-optic cell playing a double role of Q-switch and mode locker was located near flat output coupler. The two folding mirrors were mounted on the translation stages for matching the resonance frequency of the cavity to the radio frequency of acousto-optic modulator. The QML pulses with envelope durations of 100-150 ns and 100% modulation depth were observed for wide range of pump powers and repetition rates. In the preliminary experiments up to 3 W of output average power, 100 /spl mu/J of the envelope energy, having approximately 5-8 mode locked pulses were achieved. |
12,594 | Please write an abstract with title: First Demonstration of Monolithic Silicon Photonic Integrated Circuit 32×32 Thin-CLOS AWGR for All-to-All Interconnections, and key words: Optical losses, Three-dimensional displays, Optical interconnections, Crosstalk, Silicon nitride, Insertion loss, Silicon photonics. Abstract: We designed, fabricated, and demonstrated the first monolithic silicon photonic Thin-CLOS AWGR. The fabricated Thin-CLOS has 32 ports and four 16-port silicon nitride AWGRs integrated by compact multilayer waveguide routing. Experimental results show 4 dB insertion loss and -20 dB crosstalk. |
12,595 | Please write an abstract with title: An equivalent complex permeability model for litz-wire windings, and key words: Permeability, Frequency, Wire, Conducting materials, Proximity effect, Magnetic analysis, Solid modeling, Skin, Eddy currents, Conductors. Abstract: Previous methods for calculating power loss in litz-wire windings usually assume very fine strands such that the diameter of strands is much smaller than skin depth. In this paper, we present a method for calculating proximity-effect loss in litz-wire windings. This method uses an equivalent complex permeability model of the winding to describe the proximity effect. We first obtain a permeability model for litz-wire bundles, then use homogenization techniques to find the average permeability of a winding. Permeability models are provided for bundles consisting either rectangularly packed or hexagonally-packed strands. The permeability model enables high-accuracy proximity-effect loss analysis and field analysis for litz-wire windings at high frequencies. It can also be used to find the leakage inductances in magnetic components. |
12,596 | Please write an abstract with title: The Wireless IoT Device Identification based on Channel State Information Fingerprinting, and key words: Wireless communication, Authentication, Physical layer, Channel models, Internet of Things, Security, Detection algorithms. Abstract: Since the existing device identity authentication technology based on wireless signal feature extraction and recognition of the physical layer of the Internet of Things needs to make estimation assumptions on the channel model, there are significant limitations in the changing environment of the actual application scenario. In view of the above problems, this paper proposes an identity authentication mechanism for IoT devices based on channel state information (CSI) recognition. This mechanism combines a channel estimation algorithm with a channel state feature recognition algorithm. The channel-based CSI at the receiving end is used to distinguish the identity of the sender. The legal hypothesis test and the Euclidean distance between two consecutive CSIs are used as the test statistic, to realize the identity authentication of the device by judging the comparison of the statistic and the detection threshold. This mechanism can realize the identification of the access terminal without making special assumptions about the channel model. Test analysis shows that the method has low false alarm rate and missed detection rate. |
12,597 | Please write an abstract with title: Automatic Recognition of Identification Schemes for IoT Identifiers via Sequence-to-Sequence Model, and key words: Machine learning algorithms, Machine learning, Decoding, Classification algorithms, Object recognition, Internet of Things, Indexes. Abstract: In Internet of Things (IoT), each object requires a unique identifier to identify itself and index its detailed profile to support mutual recognitions among multiple objects. However, existing IoT identifiers belonging to different identification schemes are heterogeneous from each other, which create a great challenge for the applications that need to resolve the heterogeneous identifiers. To address this challenge, we propose an algorithm to automatically recognize the heterogeneous identification schemes used by various IoT identifiers, based on a sequence-to-sequence (seq2seq) model consisting of an encoder and a decoder. The encoder uses one Long Short-Term Memory (LSTM) to map the identifier sequence to a vector of fixed dimensionality, and the decoder uses another LSTM to unfold the vector into a target sequence representing the identification scheme of this identifier. To evaluate our algorithm, we create a new dataset named ID-20 with 20 categories of IoT identifiers and conduct experiments on it. The results demonstrate the superiority of our algorithm against other state-of-the-art methods, with an identifier recognition accuracy of up to 94.57%. |
12,598 | Please write an abstract with title: Thermal stability of electroplated Cu films with different microstructure by annealing treatment, and key words: Electrochemical deposition, Annealing, Additives, Films, Conductivity, Aging, Microstructure. Abstract: Copper has replaced Aluminum in the high-end electronic products for its excellent electrical conductivity, thermal conductivity and electromigration resistance, which is widely used as interconnection structure as Redistribution Layer (RDL), Cu Pillar Bump, Through Sillcon Via (TSV), and so on. Electroplating Cu with damascene process is the main manufacturing technology in industry production. However, in order to accelerate Cu layer growth from bottom to up, different organic and inorganic additives are used in electroplating process, which causes Cu structure instability. As a result, it is easy to occur recrystallization and grain growth in the process of self-annealing or aging, which affects the mechanical properties and service reliability. For example, in Cu-Cu direct bonding process, the extremely anisotropic grain growth will cross the bonding interface and enhance the bonding strength. In this work, three different structure Cu films, commercial polycrystalline copper (CP-Cu), highly (111)-orientated nanotwinned Cu ((111)-ntCu) and micro-cone arrays with vertical nanotwins Cu (micro-cone ntCu) were electroplated by changing the additives and electrodeposition modes to study their microstructure stability during annealing process. Secondary ion microscopy of three kinds of copper films after aging 1 hour and 4 hours at 400℃ were obtained by Focused Ion Beam and texture orientations were tested by X-ray Diffraction (XRD). The thermal stability of different microstructure during annealing was studied by the above experiments. CP-Cu grain growth was controlled by Ostwald ripening mechanism to reduce surface energy. Nanotwin boundaries and high angle grain boundaries formed stable structure and storage large stress, which facilitated extremely anisotropic grain growth. |
12,599 | Please write an abstract with title: Collaborative Learning with Disentangled Features for Zero-shot Domain Adaptation, and key words: Training, Computer vision, Visualization, Text recognition, Computational modeling, Semantics, Collaboration. Abstract: Typical domain adaptation techniques aim to transfer the knowledge learned from a label-rich source domain to a label-scarce target domain in the same label space. However, it is often hard to get even the unlabeled target domain data of a task of interest. In such a case, we can capture the domain shift between the source domain and target domain from an unseen task and transfer it to the task of interest, which is known as zero-shot domain adaptation (ZSDA). Most of existing state-of-the-art methods for ZSDA attempted to generate target domain data. However, training such generative models causes significant computational overhead and is hardly optimized. In this paper, we propose a novel ZSDA method that learns a task-agnostic domain shift by collaborative training of domain-invariant semantic features and task-invariant domain features via adversarial learning. Meanwhile, the spatial attention map is learned from disentangled feature representations to selectively emphasize the domain-specific salient parts of the domain-invariant features. Experimental results show that our ZSDA method achieves state-of-the-art performance on several benchmarks. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.