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Please write an abstract with title: A Distributed Energy Storage System Integrated in PMSG System for Mitigating Wind Farm Fluctuations and Providing Inertial Response, and key words: Power engineering, Fluctuations, Switches, Wind farms, Wind power generation, Power grids, Synchronous generators. Abstract: This paper proposes a wind power generation system based on permanent magnet synchronous generator (PMSG) with a distributed battery energy storage system (BESS). After introducing a BESS, the PMSG system can mitigate wind farm fluctuations and provide inertial response. After considering the state of charge (SOC) of BESS, the degree of frequency and voltage support will be modified and the working operation of three converters will be automatically switched. This paper optimizes the capacity of BESS after considering the benefits of virtual synchronization. The cost can be reduced after appropriately increasing the capacity of the BESS due to the benefits of actively supporting the power grid.
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Please write an abstract with title: Future of the MOS transistor in the nano-electronics era, and key words: MOSFETs, Moore's Law, Silicon, Electric variables, Performance analysis, FinFETs, Inorganic materials, Degradation, Subthreshold current, CMOS process. Abstract: Operational MOS transistors shorter than 10nm have been demonstrated at recent CMOS conferences. Yes, but their electrical characteristics remain by far behind the specifications (ITRS Roadmap). Does it mean that scaling is dead? Does it mean that the future of the Moore's laws is menaced? We analyze these questions in detail and identify the physical causes behind the prospective CMOS performance deficiency. To illustrate the point, we show an anomalous scaling effect leading to a decrease in the transistor current when its channel is being shortened (a completely inverse effect with respect to the classical scaling). In the second part of the paper, we show how non-classical device structures: ultra thin single- and double-gate devices such as SOI, FinFET, SON (silicon on nothing) and new materials (HK-dielectrics, metallic gates, strained-Si) can help with retrieving healthy scaling. We also deliberate on how they can help to overcome or at least attenuate the problems with short-channel effect, with drain-induced barrier lowering effects, with high-field effects, with mobility degradation, with subthreshold leakage and finally with quantum effects, with discreteness of the matter etc., etc. In order to become reality, this huge potential of non-classical CMOS requires process availability and optimization based on a good understanding of the physics of these devices. We analyze the latter in terms of optimal silicon film thickness, optimal BOX thickness, ground-plane operation, optimal channel doping, threshold voltage adjustment with metallic gates and HK dielectrics, etc. etc. Finally, we show how these new device structures and materials prolongs the Moore's laws up to the end of the roadmap (example of HP non-classical CMOS is also shown), and even beyond, thereby projecting CMOS into the nano-world.
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2,302
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Please write an abstract with title: Simultaneous Localization and Mapping in Millimeter Wave Networks with Angle Measurements, and key words: Simultaneous localization and mapping, Message passing, Millimeter wave technology, Belief propagation, Matching pursuit algorithms, Scattering, Length measurement. Abstract: In this paper we propose a belief propagation (BP) based simultaneous localization and mapping (SLAM) approach suitable for millimeter wave (mm-Wave) networks. This approach leverages angle of arrival (AoA) and angle of departure (AoD) information with respect to multiple scatterers. Considering measurements from multiple base stations (BSs) and scatterers, seen as multiple sources, we solve out the data association problem from a centralized BP perspective, while jointly estimating the positions of both the mobile and scatterers. Simulations show that the proposed approach outperforms conventional distributed BS-wise BP methods in terms of estimation accuracy.
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Please write an abstract with title: A CRF-Based Framework for Tracklet Inactivation in Online Multi-Object Tracking, and key words: Target tracking, Pipelines, Inference algorithms, Detectors, Training, Machine learning, Head. Abstract: Online multi-object tracking (MOT) is an active research topic in the domain of computer vision. Although many previously proposed algorithms have exhibited decent results, the issue of tracklet inactivation has not been sufficiently studied. Simple strategies such as using a fixed threshold on classification scores are adopted, yielding undesirable tracking mistakes and limiting the overall performance. In this paper, a conditional random field (CRF) based framework is put forward to tackle the tracklet inactivation issue in online MOT problems. A discrete CRF which exploits the intra-frame relationship between tracking hypotheses is developed to improve the robustness of tracklet inactivation. Separate sets of feature functions are designed for the unary and binary terms in the CRF, which take into account various tracking challenges in practical scenarios. To handle the problem of varying CRF nodes in the MOT context, two strategies named as hypothesis filtering and dummy nodes are employed. In the proposed framework, the inference stage is conducted by using the loopy belief propagation algorithm, and the CRF parameters are determined by utilizing the maximum likelihood estimation method followed by slight manual adjustment. Experimental results show that the tracker combined with the CRF-based framework outperforms the baseline on the MOT16 and MOT17 benchmarks. The extensibility of the proposed framework is further validated by an extensive experiment.
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2,304
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Please write an abstract with title: Box and match soft decision decoding of linear block codes with iterative information set reduction, and key words: Iterative decoding, Block codes, Iterative algorithms, Hamming weight, Error analysis, Upper bound, Statistics, Materials requirements planning, Error correction codes, Computational complexity. Abstract: The order statistic decoding (OSD) algorithm is a probabilistic list decoding algorithm which allows to achieve practically optimum soft decision decoding of binary linear block codes of length up to 128. Recently, matching techniques were applied to the OSD algorithm to reduce both the worst case and average complexities of decoding at the expense of memory. The corresponding box-and-match algorithm (BMA) allows to achieve near optimum decoding of codes of length up to 192. In this work, we investigate the application of iterative information set reduction to the BMA, which provides further refinements in the trade-offs between error performance and decoding complexity.
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2,305
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Please write an abstract with title: Edge computing for autonomous vehicles - A scoping review, and key words: Energy consumption, Costs, Education, Prototypes, Turning, Reliability engineering, Real-time systems. Abstract: Despite some recent notable achievements in autonomous road vehicles (e.g. the Waymo and Tesla autonomous car prototypes), there still are many problems that lack a universal solution. The vast majority of the existing solutions rely on sensors and computing equipment located on the vehicle itself, but this increases the cost and the energy consumption of the vehicle to unreasonable levels. In this context, it is worth giving attention the idea of relocating certain sensing and computing tasks to a network of roadside (“edge”) devices capable to communicate in real-time with a plurality of vehicles, in order to reduce the on-board equipment. This paper is a brief scoping review of the literature dedicated to this topic, aiming to: define the main concepts related to using edge computing in autonomous vehicles, identify the advantages and drawbacks of this approach and outline a typical edge framework.
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2,306
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Please write an abstract with title: System of Automated Support for Information Decisions of the Designer when Designing Technological Equipment from Normalized Parts in a Computer Environment, and key words: Computational modeling, Information technology, Information security, Automation, Solid modeling, Plastics, Graphics. Abstract: What needs to be done to transfer knowledge from normative resources (NR) accumulated from the time of the USSR to the computer form and how will the designer work efficiency parameters change? The answers to these questions are, in fact, the subject of this article. As an example of transferring knowledge to a computer environment, we use NR to design molds for injection molding of plastics. We define the computer environment for the design of technological equipment from normalized parts as a system of automated support for information decisions (SAPIR/NR).
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Please write an abstract with title: RobHand: A Hand Exoskeleton With Real-Time EMG-Driven Embedded Control. Quantifying Hand Gesture Recognition Delays for Bilateral Rehabilitation, and key words: Electromyography, Exoskeletons, Training, Stroke (medical condition), Real-time systems, Medical treatment, Robot sensing systems. Abstract: Assisted bilateral rehabilitation has been proven to help patients improve their paretic limb ability and promote motor recovery, especially in upper limbs, after suffering a cerebrovascular accident (ACV). Robotic-assisted bilateral rehabilitation based on sEMG-driven control has been previously addressed in other studies to improve hand mobility; however, low-cost embedded solutions for the real-time bio-cooperative control of robotic rehabilitation platforms are lacking. This paper presents the RobHand (Robot for Hand Rehabilitation) system, which is an exoskeleton that supports EMG-driven assisted bilateral by using a custom-made low-cost EMG real-time embedded solution. A threshold non-pattern recognition EMG-driven control for RobHand has been developed, and it detects hand gestures of the healthy hand and replicates the gesture on the exoskeleton placed on the paretic hand. A preliminary study with ten healthy subjects is conducted to evaluate the performance in reliability, tracking accuracy and response time of the proposed EMG-driven control strategy using the EMG real-time embedded solution, and the findings could be extrapolated to stroke patients. A systematic review has been carried out to compare the results of the study, which present a 97% of overall accuracy for the detection of hand gestures and indicate the adequate time responsiveness of the system.
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Please write an abstract with title: Unmanned Cranes Scheduling and System Implementation of a CPS-based Steel Slab Yard, and key words: Cranes, Job shop scheduling, Processor scheduling, Dynamic scheduling, Steel, Mathematical model, Slabs. Abstract: In order to respond more quickly to the diverse needs of customers, manufacturing industries have to improve the efficiency of logistics operations in the warehouse. A CPS-based slab yard unmanned crane system is introduced in this paper. The Internet of Things technology realizes the interconnection of logistics equipment in the storage area, and the intelligent scheduling system realizes the collaborative control of the cranes. This paper establishes a mathematical model of the joint storage location and cranes scheduling optimization problem, and integrates the rule-based dynamic scheduling method with a multi-objective optimization algorithm to solve the problem. The actual field application has verified the effectiveness of the system, which reduces the stack transfer rate by 40% and improves the crane utilization by 30%.
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2,309
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Please write an abstract with title: Performance Improvement Methods for Hardware Accelerated Graphics Using Vulkan API, and key words: Computer languages, C++ languages, Rendering (computer graphics), Minimization, Software, Hardware, Indexes. Abstract: In the present article, performance of two computer graphics application programming interfaces (APIs), OpenGL and Vulkan is compared using the application developed with C++ programming language. One of the two API’s for scene rendering can be chosen before compilation of program. OpenGL Shading Language (GLSL) is used to create shader for OpenGL backend. Simple shader with implementation of Phong-style shading was created in GLSL then compiled to SPIR-V language for Vulkan support. Results indicate that usage of Vulkan may double the framerate compared to OpenGL. Performance boost was achieved using pre-recorded command buffers, minimization of descriptor set count, using one vertex buffer and one index buffer per scene and using mip- maps for rendering. Framerate was captured using RenderDoc software.
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2,310
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Please write an abstract with title: On-Device Neural Speech Synthesis, and key words: Performance evaluation, Computational modeling, Computer architecture, Mobile handsets, Real-time systems, Robustness, Software. Abstract: Recent advances in text-to-speech (TTS) synthesis, such as Tacotron and WaveRNN, have made it possible to construct a fully neural network based TTS system, by coupling the two components together. Such a system is conceptually sim-ple as it only takes grapheme or phoneme input, uses Mel-spectrogram as an intermediate feature, and directly generates speech samples. The system achieves quality equal or close to natural speech. However, the high computational cost of the system and issues with robustness have limited their usage in real-world speech synthesis applications and products. In this paper, we present key modeling improvements and optimization strategies that enable deploying these models, not only on GPU servers, but also on mobile devices. The proposed system can generate high-quality 24 kHz speech at 5x faster than real time on server and 3x faster than real time on mobile devices.
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2,311
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Please write an abstract with title: Per-packet allocation strategies for heterogeneous multichannel wireless networks, and key words: Wireless networks, Channel allocation, Wireless sensor networks, Collaboration, Wireless LAN, Mobile ad hoc networks, Electronic mail, Heuristic algorithms, Analytical models, System performance. Abstract: In this paper we present dynamic channels allocation algorithms with QoS support to be applied in wireless multi-channel environments. We focus our attention on the integration of networks with different radio access technologies, as expected in future fourth generation wireless systems. We propose and we analyze through simulations cooperative inter-networks solutions concerning channels allocation. We can demonstrate how these collaborative proposed strategies improve system performance by considerably reducing drop probability with respect to channel allocation techniques independently applied to each network.
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Please write an abstract with title: Short-Time Spectral Aggregation for Speaker Embedding, and key words: Aggregates, Conferences, Transforms, Feature extraction, Acoustics, Feeds, Speech processing. Abstract: State-of-the-art speaker verification systems take frame-level acoustics features as input and produce fixed-dimensional embeddings as utterance-level representations. Thus, how to aggregate information from frame-level features is vital for achieving high performance. This paper introduces short-time spectral pooling (STSP) for better aggregation of frame-level information. STSP transforms the temporal feature maps of a speaker embedding network into the spectral domain and extracts the lowest spectral components of the averaged spectrograms for aggregation. Benefiting from the low-pass characteristic of the averaged spectrograms, STSP is able to preserve most of the speaker information in the feature maps using a few spectral components only. We show that statistics pooling is a special case of STSP where only the DC spectral components are used. Experiments on VoxCeleb1 and VOiCES 2019 show that STSP outperforms statistics pooling and multi-head attentive pooling, which suggests that leveraging more spectral information in the CNN feature maps can produce highly discriminative speaker embeddings.
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Please write an abstract with title: A wideband inverted F-type antenna for dual-frequency operation, and key words: Broadband antennas, Wideband, Automobiles, Resonance, Bandwidth, Frequency, Vehicles, Mobile communication, Feeds, Moment methods. Abstract: The subject of this paper is an antenna for automobiles. A wideband IFA for dual-frequency operation is presented in which horizontal elements are added on a vertical element. The matching loss and radiation characteristics are calculated by the NEC2 simulation tool, which uses the moment method. A plate is used as a shorted element of the IFA in order to increase radiation resistance. The plate is modeled by the wire-grid and a ground plane is modeled by an infinite plane in the simulation.
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Please write an abstract with title: Design of a Testbed for Cybersecurity Research on Power Converters in Microgrids, and key words: Embedded systems, Computer security, TCPIP, Organizations. Abstract: In this paper, we study the design of an Internet-enabled power electronic converter for cybersecurity research in microgrid systems. The motivation for this paper comes from the OpenPLC project [1], and the development of a PLC testbed which can be used for cybersecurity research [2]. Depending on the economics of the problem, having dedicated and protected communication channels may not be economically feasible, especially for microgrid systems. In other words, the economics of the application may dictate the use of common and unprotected communication channels, like the Internet for higher level coordination. This means that the embedded system responsible for time-sensitive tasks, like power management, energy management, voltage regulation, or reactive power sharing, must also have some awareness of potential cyber threats. In particular, its state transition diagram, timeout values for blocking I/O operations, whether it will be bare-metal or not, and where the TCP/IP stack will run, are all very critical design issues. In this work, different design architectures are analyzed, the pros and cons of each option are studied, and a final system architecture is proposed.
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2,315
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Please write an abstract with title: Fine Dust Mass Measurement System using oscillation frequency with SAW Sensor, and key words: Radio frequency, Computers, Surface acoustic waves, Resonant frequency, Frequency measurement, Scattering parameters, Oscillators. Abstract: In this paper, a system for measuring the mass of fine dust is proposed. When the S parameter of the SAW Sensor is checked, the resonance frequency is identified at a specific frequency When fine dust is attached to the SAW Sensor, the resonance frequency is shifted. The system detects the resonance frequency by oscillation. For SAW sensors that respond to PM 1.0 and 2.5, the oscillator oscillates at 268 MHz and 460 MHz. The proposed system has been implemented in the 130 nm BCD process.
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2,316
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Please write an abstract with title: Design and experiments of bio-mimicry sound source localization sensor with gimbal-supported circular diaphragm, and key words: Biosensors, Acoustic sensors, Ear, Microphone arrays, Force sensors, Physics computing, Information science, Design methodology, Fabrication, Speech recognition. Abstract: We propose a novel structure for sound source localization by mimicking an auditory organ of a parasitoid fly. It is based on lateral gradients of sound pressure from a non-frontal source. The gimbal-supported circular diaphragm is very suitable for detecting the small gradients and miniaturizing into a micro sensor. We describe the design method and FEM analysis of the diaphragm structure. We show fabrication of two types of sensors, a scaled-up type and a surface-micromachined type, and the experimental results.
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2,317
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Please write an abstract with title: Understanding VR Software Testing Needs from Stakeholders’ Points of View, and key words: Stakeholders, Software, Virtual reality, Software testing, Instruments, Solid modeling, Augmented reality. Abstract: Software testing is a critical activity to ensure that software complies with its specification and guarantee for delivering high quality products. However, there are a number of challenges to be faced as new software domains are created. Although there are some works in the literature that explore the application of software testing practices specific to the context of Virtual Reality (VR), these works tend to reflect only the researcher's point of view, leaving aside the players involved in the VR development process, contributing to a gap that makes it difficult to popularize such practices. Aiming to reduce this gap, this paper presents an analysis under the perception of stakeholders involved in the process of developing and using VR applications. We conducted a survey with 88 respondents, comprising different roles, interviewed during a virtual reality scientific conference and later complemented by electronic dissemination, reaching five different profiles. The results showed that there is a major concern among all the interviewed profiles regarding the impact of faults in VR applications. In addition, we investigated these results in both software and hardware aspects. The results related to software pointed to a greater concern of the players regarding visual aspects and non-functional requirements. As for hardware-related aspects, the biggest concern is related to limitations in mechanisms that are responsible for providing input data to applications.
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2,318
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Please write an abstract with title: Linear time universal coding of tree sources via FSM closure, and key words: Context modeling, Encoding, Decoding, Automata, Data compression, Laboratories, Displays, Entropy, Upper bound, Computational complexity. Abstract: Applying generalized context trees and their finite state machine closures, a two-pass version of context, a twice-universal lossless coding scheme for tree models, can be implemented in linear encoding/decoding time. As it turns out, an optimal context selection rule and the corresponding context transitions are computationally not more expensive than the various steps involved in the implementation of the Burrows-Wheeler transform (BWT) and use, in fact, similar tools. Also the paper presents a reversible transform that displays the same "context deinterleaving" feature as the BWT but is naturally based on an optimal context tree. This transform offers insight into the workings of the BWT and the nature of its suboptimality for twice-universal coding of tree models.
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Please write an abstract with title: Fog Robotics—Understanding the Research Challenges, and key words: Performance evaluation, Edge computing, Robot sensing systems, Safety, Internet, Cloud computing, Low latency communication, Robots. Abstract: Fog robotics is an emerging topic that derives from cloud robotics, but similarly as fog computing, the applications require low latency connections in order to be useful in real life environments. This article presents a new perspective to the topic in which not only robotics takes advantage of the fog computing paradigm, but fog computing is able to leverage the robotics technology in order to enhance its features. This work highlights the benefits obtained by each technology when it is mixed with the other and sketches the relevant topics to research in order to make this partnership possible.
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Please write an abstract with title: An Automated Workflow for the Electric Field Modeling of High-definition Transcranial Direct Current Stimulation (HD-tDCS) in Chronic Stroke with Lesions, and key words: Transcranial magnetic stimulation, Neuromuscular, Computational modeling, Scalp, Neuroanatomy, Tools, Stroke (medical condition). Abstract: Transcranial Direct Current Stimulation is a popular noninvasive brain stimulation (NIBS) technique that modulates brain excitability by means of low-amplitude electrical current (usually <4mA) delivered to the electrodes on the scalp. The NIBS research has gained significant momentum in the past decade, prompting tDCS as an adjunctive therapeutic tool for neuromuscular disorders like stroke. However, due to stroke lesions and the differences in individual neuroanatomy, the targeted brain region may not show the same response upon NIBS across stroke patients. To this end, we conducted a study to test the feasibility of targeted NIBS. The hand motor hotspot (HMH) for each chronic stroke participant was identified using Neuronavigated Transcranial Magnetic Stimulation (TMS). After identifying the HMH as the neural target site, we applied High-definition TDCS with the current delivered at 2mA for 20 minutes. To simulate the effects of HD-tDCS in the brain, especially with stroke lesions, we used the computational modeling tool (ROAST). The lesion mask was identified using an automated tool (LINDA). This paper demonstrates that the stroke lesions can be incorporated in the computational modeling of electric field distribution upon HD-tDCS without manual intervention.
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Please write an abstract with title: A Versatile Shape Generation Method for 3D Meander-line Antennas, and key words: Geometry, Solid modeling, Helical antennas, Three-dimensional displays, Shape, Design methodology, Three-dimensional printing. Abstract: This work presents a custom method for the design of 3D meander-line antennas with arbitrary geometries. This technique, used in conjunction with multi-objective optimization and 3D printing, enables the creation of antennas with unintuitive geometries which have enhanced performance over traditional designs. As an example, we employ this method to design two quadrifilar helix antenna (QHAs). One of the antennas has a dual-band behavior with different radiation characteristics in each band. The second antenna has wide bandwidth, high broadside gain, and compact size.
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2,322
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Please write an abstract with title: Magnetic control, in vacuum arc deposition - a review, and key words: Vacuum arcs, Cathodes, Magnetic field measurement, Magnetic fields, Motion control, Collimators, Plasma confinement, Plasma materials processing, Particle beams, Saturation magnetization. Abstract: The use of magnetic fields to control cathode spot location and motion and to collimate and direct the plasma flow in vacuum arc deposition apparatus is reviewed. Retrograde and acute angle motion are used to control the location and motion of cathode spots, in order to confine them to the cathode surface facing the substrates, to prevent local overheating, and to reduce macroparticle production. Axial fields are use to collimate cathode spot produced plasma jets, and to bend them around macoparticle occluding obstacles in filtered vacuum arc deposition. Advances have been made in understanding these phenomena, but theoretical models have not yet been formulated which can predict plasma behavior sufficiently well for apparatus design.
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2,323
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Please write an abstract with title: Laser spectroscopy of DCM dye and its derivatives, and key words: Spectroscopy. Abstract: The DCM (4-dicyanomethylene-2-methyl-6-p-dimethylaminostyryl-4H-pyran) dye molecule is known as one of the best laser dyes. The photodynamics of that dye and its three fluorinated derivatives in polar and nonpolar solvents using nanosecond and picoseconds spectroscopies has been investigated. It was found the large difference in photophysical and laser properties of DCM and fluorinated derivatives depended on the solvent polarity and consisted of the fluorescence efficiency raise for DCM and fluorescence efficiency decrease for derivatives with a solvent polarity increase. The oscillator model and electronic structure of excited states for investigated dyes were studied on the ground of polarization data. The picosecond dynamics of DCM's derivatives in polar 1-propanol were investigated, and the times of the solvation relaxations caused by the solvent properties and molecular structure were measured
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2,324
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Please write an abstract with title: Reliability Design and Analysis of SAR Platform Load Power Supply, and key words: Heating systems, Technological innovation, Power supplies, Space missions, Redundancy, Transportation, Reliability engineering. Abstract: A safe space power supply is the premise to ensure the successful completion of space missions. At present, the load distributor power supply of SAR platform in China has developed into a trend of miniaturization, customization and innovation. Using new design concepts and new reliability assurance processes to ensure its reliability is an important link for the load to successfully complete the task. In this paper, the reliability design of spaceborne power supply for SAR platform is analyzed from the aspects of component reliability, design reliability and process reliability. After many tests, the final results are shown that the reliability design is still effective.
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2,325
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Please write an abstract with title: Switching threshold and coding-rate optimisation for turbo convolutional and turbo bch coded adaptive modulation, and key words: Convolutional codes, Modulation coding, Decision feedback equalizers, Turbo codes, Wideband, Fading, Throughput, Adaptive equalizers, Quadrature amplitude modulation, Bit error rate. Abstract: Decision feedback equaliser (DFE) aided turbo coded wideband adaptive quadrature amplitude modulation (AQAM) is capable of accommodating the temporal channel quality variation of fading channels. A procedure is suggested for determining the AQAM switching thresholds and the specific turbo coding rates capable of maintaining the target BER, while aiming for achieving a high effective bits per symbol (BPS) throughput. Subsequently, the performances of both turbo convolutional (TC) and turbo BCH (TBCH) coded fixed and adaptive modulation schemes are characterised and compared when communicating over the COST 207 typical urban (TU) wideband fading channel. It was found that at a given throughput the set of TBCH coded fixed modulation schemes considered outperforms the corresponding TC counterparts, when using a high-latency turbo and channel interleaver. However, both schemes have a similar performance, when applied in conjunction with adaptive modulation.
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Please write an abstract with title: Efficient Ad-level Impression Forecasting based on Monotonicity and Sampling, and key words: Lead acid batteries, Industries, Estimation, Gaussian distribution, Tools, Predictive models, Reliability. Abstract: In the online advertising business, it is important for an advertisement with a specific bid to forecast the number of impressions. Given the reliably predicted impressions, advertisers can set their bids reasonably to guarantee the return on investment. Ad impression forecasting also plays a role in various services, such as bid simulator, high-value advertising screening, and programmatic advertising bid adjustment. Although several impression forecasting tools are already widely used in the industry, previous work is pageview-level methods, which have to calculate the winning score for each impression opportunity and are relatively time-consuming. Besides, due to the data flow of the advertising system is too large, sampling storage leads to loW advertising coverage and inaccurate estimation of winning rate. To address these issues, in this work, we propose a novel adlevel combined method for impression forecasting framework, which combines XGBoost and gaussian distribution modeling based on RANSAC. In particular, XGBoost improves the model’s generalization ability for the missing feature values of ads, and gaussian distribution modeling solves the problems of outlier and sparse sampling While ensuring monotonicity. We deployed the proposed framework in the Tencent online display advertising system and evaluated the effectiveness and efficiency of the framework on a real-world dataset. The experimental results show our design outperforms the existing methods in the accuracy of ad impression forecasting. Meanwhile, our framework achieves 100% ad coverage rate and significantly reduces the average execution time for online serving.
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Please write an abstract with title: Shifting Classification of Automatic Transmission Based on Shapelet Transform, and key words: Training, Learning systems, Shape, Time series analysis, Training data, Transforms, Probability. Abstract: During the driving process of the vehicle, a large amount of time series containing shifting information was continuously generated. It is a laborious process to accurately detect the factory quality inspection and shifting characteristics of automatic transmissions through these data. In this context, this paper proposed a method to classify shifting data using shapelet transform, which is a local shape similarity classification method based on the most discriminative subsequence in a time series. In consideration of the low efficiency of traditional shapelet extraction methods, we introduce the idea of mathematical statistical probabilistic models into the extraction of shapelets. More specifically, we first build a probabilistic model of the training dataset and sample some time series from the training dataset by the utilization of distribution estimation algorithm (EDA). Then we use the probabilistic model update method to find discriminative subsequences in the time series as shapelet candidates. We next prune highly similar shapelet candidates through shapelet filters. Finally, we use the best k shapelets to convert each time series in the dataset into k corresponding features, which can be used in conjunction with traditional classifiers to classify the data. The automatic transmission shifting classification experiment shows that the shapelet discovery algorithm based on the probability model proposed in this paper can greatly improve the efficiency of the algorithm while ensuring the classification accuracy.
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Please write an abstract with title: Diffraction by a Semi-Infinite Parallel-Plate Waveguide with Five-Layer Material Loading: A Rigorous Solution Based on the Wiener-Hopf Technique, and key words: Geometry, Radar cross-sections, Diffraction, Electromagnetic scattering, Loading, Planar waveguides, Electromagnetics. Abstract: The analysis of electromagnetic scattering by open-ended metallic waveguide cavities is important in the prediction and reduction of the radar cross section (RCS) of a target. Various diffraction problems involving two- and three-dimensional (2-D and 3-D) cavities have been analyzed thus far based on high-frequency techniques and numerical methods. However, the solutions obtained by these methods may not be uniformly valid for arbitrary dimensions of the cavities. In this paper, we shall consider a semi-infinite parallel-plate waveguide with five-layer material loading as a geometry that can form cavities, and analyze rigorously the E-polarized plane wave diffraction by means of the Wiener-Hopf technique [1] , [2] .
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Please write an abstract with title: Stochastic Model Predictive Control Using Simplified Affine Disturbance Feedback for Chance-Constrained Systems, and key words: State feedback, Feedback control, Standards, Probabilistic logic, Stochastic processes, Predictive control, Perturbation methods. Abstract: This letter covers the model predictive control of linear discrete-time systems subject to stochastic additive disturbances and chance constraints on their state and control input. We propose a simplified control parameterization under the framework of affine disturbance feedback, and we show that our method is equivalent to parameterization over the family of state feedback policies. Using our method, associated finite-horizon optimization can be computed efficiently, with a slight increase in conservativeness compared with conventional affine disturbance feedback parameterization.
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Please write an abstract with title: Similarity-based Brownian Motion Approach for Remaining Useful Life Prediction, and key words: Brownian motion, Automation, Computational modeling, Predictive models, Data models, Numerical models, Noise measurement. Abstract: This paper proposes a data-driven framework for Remaining Useful Life (RUL) prediction of an operating equipment unit in the case of noisy and limited data. It consists of introducing the Brownian Motion model (BM) in the similarity framework and computing the RUL based on a collection of generated HIs (Health Indicators). For that, the percentile filter is used to pre-process the HIs by generating a collection of profiles from the operating equipment unit’s HI and a set of references from a given R2F (Run-to-Failure) indicator. Then, the similarity is computed between each profile of this collection and the references in order to pick the most similar reference to each profile for modeling and RUL prediction. The final RUL is calculated as a weighted aggregation of the obtained RULs of the profile collection. A numerical application using simulated data illustrates the accuracy of this approach.
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Please write an abstract with title: Discussion, and key words: Oscillators, Crystals, Receivers, Generators, Interpolation, Frequency control, Ions. Abstract: A. Birrell (Associate Member): The application of the principles described by Mr Wadley makes possible the design of a receiver which possesses ideal characteristics for communication purposes
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Please write an abstract with title: Scout robot motion model, and key words: Robot motion, Foot, Winches, Mobile robots, Orbital robotics, Wheels, Springs, Predictive models, Motion control, Mathematical model. Abstract: The University of Minnesota's Scout robot is a small cylindrical robot capable of rolling and jumping. In this paper, models describing the robot's motion under its mode of actuation are developed. These models can be employed for Scout motion prediction and simulation. The models suggest that the determining factor of the Scout's behavior is the length of the winch cable. The validity of the models is verified with empirical data.
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Please write an abstract with title: A Sequence-to-Sequence Framework Based on Transformer With Masked Language Model for Optical Music Recognition, and key words: Symbols, Music, Hidden Markov models, Transformers, Decoding, Neural networks, Feature extraction, Transformers, Sequential analysis. Abstract: Optical music recognition technology is of great significance in the development of the digital music. In recent years, the convolutional recurrent neural network framework with connectionist temporal classification has been used in music recognition. However, its loss function is calculated in serial mode, which leads to low efficiency in training and difficulty in convergence. Additionally, because of the gradient disappearance of excessive long music sequences, the existing music recognition models are hard to learn the relationships between musical symbols, resulting in high sequence error rate. Therefore, we propose a sequence-to-sequence framework based on transformer with masked language model to deal with these problems. The context representation between musical symbols can be captured further by the self-attention module in the transformer, which will reduce the sequence error rate. In addition, we refer to the masked language model and design a mask matrix to predict each musical symbol in a parallel way, so as to speed up the training process. Our experiments are carried out on the printed images of music stave dataset, and the results show that our proposed method is training-efficient and has great improvement in sequence accuracy rate.
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Please write an abstract with title: Optimal MIMO Combining for Blind Federated Edge Learning with Gradient Sparsification, and key words: Wireless communication, Signal processing algorithms, Channel estimation, Training data, Receivers, Benchmark testing, Signal processing. Abstract: We provide the optimal receive combining strategy for federated learning in multiple-input multiple-output (MIMO) systems. Our proposed algorithm allows the clients to perform individual gradient sparsification which greatly improves performance in scenarios with heterogeneous (non i.i.d.) training data. The proposed method beats the benchmark by a wide margin.
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Please write an abstract with title: Pipeline Leak Detection and Location based on Fuzzy Controller, and key words: Pipelines, Mathematical model, Cognition, Fluids, Decision making, Leak detection, Friction. Abstract: Pipeline systems have been taken as one of the most important tools for transmission around the world. It will be important for the industrial society that pipeline systems function appropriately by taking into consideration the growing requirement for effective interconnecting fluid networks. Typically, there are various kinds of control systems or algorithms for pipeline leak detection. In this paper, a pipeline leak detection and location method is proposed based on fuzzy control. It is concluded that the response of the fuzzy controller is fast and has no oscillations and this is appropriate for numerous high- precision usages like robotics as well as weapon systems. The numerical results demonstrate that the suggested technique is simple, efficient, and has a high level of localization precision.
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Please write an abstract with title: Document ranking by layout relevance, and key words: Turning, Spatial databases, Optical character recognition software, Image retrieval, Laboratories, Lamps, Business, Educational institutions, Text analysis, Performance analysis. Abstract: This paper describes the development of a new document ranking system based on layout similarity. The user has a need represented by a set of "wanted" documents, and the system ranks documents in the collection according to this need. Rather than performing complete document analysis, the system extracts text lines, and models layouts as relationships between pairs of these lines. This paper explores three novel feature sets to support scoring in large document collections. First, pairs of lines are used to form quadrilaterals, which are represented by their turning functions. A non-Euclidean distance is used to measure similarity. Second, the quadrilaterals are represented by 5D Euclidean vectors, and third, each line is represented by a 5D Euclidean vector. We compare the classification performance and computation speed of these three feature sets using a large database of diverse documents including forms, academic papers and handwritten pages in English and Arabic. The approach using quadrilaterals and turning functions produces slightly better results, but the approach using vectors to represent text lines is much faster for large document databases.
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Please write an abstract with title: Total-Variation Compressive Sensing Based on Hybrid Sequential Experimental Design for Field Reconstruction, and key words: hybrid experimental design, total variation, compressive sensing, field reconstruction. Abstract: An innovative approach for the two-dimensional (2D) far-field strength reconstruction from a reduced number of measurements without any prior knowledge on the source antenna is proposed. The developed methodology is based on the effective integration of a sequential experimental design (SED) strategy with a total variation compressive sensing (TV-CS) technique. Thanks to the SED, more samples are generated near highly non-linear regions of the field distribution, resulting in a more accurate reconstruction by means of the TV-CS. A set of numerical experiments is provided to assess the potentialities and features of the proposed method.
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Please write an abstract with title: Multipurpose Hardware for Digital Coding of Audio Signals, and key words: Hardware, Size control, Voltage control, Adaptive coding, Frequency, Programmable control, Adaptive control, Quantization, Signal to noise ratio, Phase change materials. Abstract: We describe an adaptive coding system capable of representing audio frequency signals in a wide variety of digital code formats. To provide adaptive quantization, the step size is adjusted by voltage controlled amplifiers operating with analog control signals. Sine wave signal-to-noise ratio measurements demonstrate important relationships among the main code classifications: pcm, apcm, dpcm, adpcm. The multipurpose coder has proved a useful laboratory aid in the design of special purpose coders. After adjustment and evaluation of parameters using the multipurpose coder one proceeds to an economical, specialized design.
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2,339
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Please write an abstract with title: Ghost Imaging of Moving Target Based on the Periodic Pseudo-Thermal Light Field Generated by a 2D Silicon OPA, and key words: Imaging, Optical imaging, Light fields, Antenna measurements, Image reconstruction, Phase shifters, Loss measurement. Abstract: Inthis paper, we report a ghost imaging (GI) method using a periodic pseudo-thermal optical field generated by a 4 × 4 silicon optical phased array (OPA) with an independently tuned grating coupler antenna. The OPA-emitted far field obtained by applying a random external voltage to the OPA exhibits clear periodicity. Using the OPA-emitted periodic optical field, we numerically and experimentally demonstrate the GI of targets moving within a large field-of-view. The proposed image reconstruction system requires no OPA-chip mechanical movement. Image enhancement and stitching are achieved by exploiting the OPA-emitted periodic pseudo-thermal light field. The proposed method has various potential applications, such as LiDAR, medical imaging, and optical communication.
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Please write an abstract with title: Representing Dynamic Performance Information in Grid Environments with the Network Weather Service, and key words: Intelligent networks, Grid computing, Management information systems, Geographic Information Systems, Information retrieval, Information systems, Computer science, Aggregates, Home appliances, Power system interconnection. Abstract: In this paper, we discuss requirements for integrating dynamic performance information from the Network Weather Service (NWS) into the Grid Information Service infrastructure (GIS). We describe the object model that NWS uses internally and provide some rationale for its structure. Finally, we present the NWS 's implementation of a caching LDAP daemon that integrates NWS information into the reference GIS -the Glob s MDS.
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2,341
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Please write an abstract with title: Development of gated carbon nanotube cold cathode for miniature X-ray source, and key words: Resistors, Fluctuations, Electronic ballasts, Current-voltage characteristics, Metals, Logic gates, Carbon nanotubes. Abstract: A gated carbon nanotube cold cathode has been fabricated for miniature X-ray source application. Randomly aligned CNTs were prepared using CVD. Gated CNT cold cathode was fabricated using a metal mesh gate. The current-voltage characteristics, gate transmission rate and the current stability were studied. Current fluctuation less than 1% was achieved.
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Please write an abstract with title: A Framework for Scalable Biophysics-based Image Analysis, and key words: Image registration, Image analysis, High performance computing, Computational modeling, Biological system modeling, Scalability, Brain modeling. Abstract: We present SIBIA (Scalable Integrated Biophysics-based Image Analysis), a framework for coupling biophysical models with medical image analysis. It provides solvers for an image-driven inverse brain tumor growth model and an image registration problem, the combination of which can eventually help in diagnosis and prognosis of brain tumors. The two main computational kernels of SIBIA are a Fast Fourier Transformation (FFT) implemented in the library AccFFT to discretize differential operators, and a cubic interpolation kernel for semi-Lagrangian based advection. We present efficiency and scalability results for the computational kernels, the inverse tumor solver and image registration on two x86 systems, Lonestar 5 at the Texas Advanced Computing Center and Hazel Hen at the Stuttgart High Performance Computing Center. We showcase results that demonstrate that our solver can be used to solve registration problems of unprecedented scale, 40963 resulting in ~ 200 billion unknowns-a problem size that is 64× larger than the state-of-the-art. For problem sizes of clinical interest, SIBIA is about 8× faster than the state-of-the-art. CCS CONCEPTS • Computing methodologies $\rightarrow$ Image segmentation; • Mathematics of computing $\rightarrow$ Bio-inspired optimization;
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Please write an abstract with title: Efficient three-step search algorithm for block motion estimation in video coding, and key words: Motion estimation, Video coding, Video sequences, Computational complexity, Predictive coding, Redundancy, MPEG 4 Standard, Application software, Mean square error methods, Distortion measurement. Abstract: The three-step search algorithm has been widely used in block matching motion estimation due to its simplicity and effectiveness. The sparsely distributed checking points pattern in the first step is very suitable for searching large motion. However, for quasi-stationary blocks it will easily lead the search to be trapped into a local minimum. In this paper we propose a modification on the three-step search algorithm which employs a small diamond pattern in the first step, and the unrestricted search step is used to search the center area. Experimental results show that the proposed algorithm performs better than new three-step search in terms of MSE and requires less computation by up to 15% on average.
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2,344
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Please write an abstract with title: Multiple-wavelength GaInAs/GaAs vertical cavity surface emitting laser array with record wide wavelength span, and key words: Vertical cavity surface emitting lasers, Gallium arsenide, Surface waves, Surface emitting lasers, Optical arrays, Resonance, Wavelength division multiplexing, MOCVD, Chemical vapor deposition, Pressure control. Abstract: In this paper, we propose a growth pressure control during MOCVD growth of VCSEL wafers on a patterned substrate to avoid the mismatch between a grain peak and resonant mode. We demonstrate a multiple wavelength GaInAs/GaAs VCSEL array emitting in a new wavelength window of 0.9-1.2 /spl mu/m, exhibiting a record wavelength span of 192 nm.
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Please write an abstract with title: Thermal Image based Remote Heart Rate Measurement on Dynamic Subjects Using Deep Learning, and key words: Heart rate, Faces, Estimation, Deep learning, Feature extraction, Signal processing algorithms, Training data. Abstract: In this work, we propose a method of heart rate estimation by using the infrared thermal images as input. When the heart beats that causes the blood vessels to periodically vasoconstriction and vasodilation, there will be a tiny periodic temperature change on face area. Therefore, the temporal signal from thermal images is considered as the input to our designed DEWNet (DEnseWave Net) CNN model for heart rate estimation. In the experiment, we collected a dataset containing 24 subjects who were running on the treadmill with five different running speeds. Consequently, using this dataset the average error is 13.592 bpm, which shows its feasibility for real-world applications.
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Please write an abstract with title: Research on Collision-free High-efficiency Pseudo-random Sequence Generation Algorithm, and key words: Data conversion, Conferences, Software algorithms, Big Data, Time complexity, Random sequences, Software engineering. Abstract: To overcome the shortcomings of the current popular conflict-free generation algorithm for pseudo-random sequences, a new conflict-free and efficient random permutation generation algorithm is presented. At the same time, it also introduces two other classical pseudo-random sequences generation algorithms, Hash algorithm and GUID algorithm. Compare the performance of the three algorithms by calculating time complexity and recording time consumption. The results show that the random permutation generation algorithm has high time efficiency and is more suitable for generating large amounts of conflict-free pseudo-random sequence.
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2,347
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Please write an abstract with title: Learning by problem-solving assisted of planning and retrieval of sample problems with solutions indexed by structured solution plan, and key words: Problem-solving, Voltage, Equations, Prototypes, Equivalent circuits, System testing, Process planning, System recovery, Circuit theory, Electrical engineering. Abstract: The paper proposes to develop the ability of planning in learning by problem-solving, providing the learners with a repertoire of problem types as constructs of plans and their expansions into sub plans as well as sample problems with solutions indexed by hierarchical use of plans and sub plans for solving the problems. The learners can construct their plans on the system-supported planning environment and retrieve solutions of sample problems by way of the structured solution plan indices. The system critiques their plans and checks, through interaction with the learners, the interim results of executing any subproblems in the solution path. A prototype system was implemented and tested in order to assess the significance of providing such an environment in developing ability of planning. The pre-post test evaluation in steps strongly suggested importance of providing sample problems with plan indices in order for the learners to be confident of applicability of newly learned plans.
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2,348
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Please write an abstract with title: Minimax duality of Gaussian vector broadcast channels, and key words: Minimax techniques, Broadcasting, Covariance matrix, Constraint theory, Lagrangian functions, Vectors, Channel capacity, Constraint optimization, Gaussian noise. Abstract: This paper establishes a connection between the uplink-downlink duality of the Gaussian vector multiple-access channel and broadcast channel and the Lagrangian duality in minimax optimization. This new minimax duality allows the optimal transmit covariance matrix and the least-favorable noise for the broadcast channel to be characterized in terms of the dual variables. Further, it allows uplink-downlink duality to be generalized to broadcast channels with arbitrary linear constraints. In particular, it shows that the dual of a broadcast channel with individual per-antenna power constraint is a multiple-access channel with a diagonal uncertain noise.
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2,349
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Please write an abstract with title: Extended-Regular Sequence for Automated Analysis of Microarray Images, and key words: Image analysis, Image sequence analysis, Throughput, Wavelet analysis, Pattern analysis, Wavelet transforms, Delay effects, Propagation delay, Microorganisms, Data analysis. Abstract: A variety of high throughput methods have made it possible to generate detailed temporal expression data for a single gene or large numbers of genes. Methods for analysis of these large data sets can be problematic. One challenge is the comparison of temporal expression data obtained from different growth conditions where the patterns of expression may be shifted in time. We propose the use of wavelet analysis to transform the data obtained under different growth conditions to permit comparison of expression patterns from experiments that have time shifts or delays. We demonstrate this approach using detailed temporal data for a single bacterial gene obtained under 72 different growth conditions. This general strategy for can be applied in the analysis of data sets of thousands of genes during cellular differentiation and response.
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2,350
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Please write an abstract with title: Investigating the influence of surface hardness and energy on the perceived stickiness of polymer coatings, and key words: Correlation, Conferences, Polymer films, Mechanical factors, Haptic interfaces, Coatings, Surface treatment. Abstract: This work is dedicated to the investigation of physical material properties and their influence on the sensation of stickiness. In order to study the physical properties of the investigated polymer coatings over a wider range, different binding agents and fillers were used to control the resulting physical and mechanical properties. The selected coatings were characterized with respect to hardness and surface free energy and their tactile effects were evaluated within experience studies. A correlation analysis of the measured properties revealed a clear influence of the physical properties on the perceived stickiness.
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2,351
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Please write an abstract with title: Second-order statistics for diversity-combining of non-identical, unbalanced, correlated Weibull signals, and key words: Statistics, Diversity reception, Weibull fading channels, Wireless communication, Diversity methods, Statistical distributions, Virtual manufacturing, Weibull distribution, Probability density function, Distribution functions. Abstract: This paper derives exact expressions for the level crossing rate (LCR) and average fade duration (AFD) of a two-branch selection, equal gain and maximal-ratio combining ratio combining systems in a Weibull fading environment. The expressions apply to unbalanced, non-identical, correlated diversity channels and have been validated by specializing the general results to some particular cases whose solutions are known. In addition, new closed-form solutions for some special cases are obtained.
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2,352
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Please write an abstract with title: Lorentzian autocorrelation of mid-infrared pulses from water vapor absorption, and key words: Vibrations, Absorption, Lattices, Europe, Superconductivity, Crystals, Fingerprint recognition. Abstract: The mid-infrared spectral regime is a current focus of interest for investigation of molecular fingerprint region absorption, crystal lattice vibrations, superconductors, spin waves etc. [1] and an ultrawide bandwidth is promised for telecommunication. However, atmospheric propagation of ultrafast laser pulses is disrupted by many water vapor absorption lines in this spectral range due to stretching and bending vibrational modes.
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Please write an abstract with title: Intelligent Aerospace Terminologies Recognition based on Spectrogram using Machine Learning, and key words: aerospace terminology, KNN, machine learning, spectrogram, speech recognition. Abstract: A speech recognition system is an application to recognize spoken words through audio inputs. On the other hand, spectrograms are visual representations of audio signals and effectively represent words numerically. In this research, we developed a spectrogram-based speech recognition system using machine learning’s K-Nearest Neighbors (KNN) method to recognize aerospace terminologies, some uncommon for ordinary people. We used 300 audio signal data consisting of two categories, namely 15 spectrogram data for aerospace terminologies and 15 spectrogram data for non-aerospace ones, each taken ten times. By conducting a 70:30 training and testing scheme, strengthened by k-fold cross-validation, the optimum K for KNN is 13. With such value of K, our developed Intelligent system for aerospace terminologies recognition based on spectrogram can achieve an accuracy of 75.56% with a precision of 75.56%, recall of 75.56%, and F-1 score of 75.56%. With that accuracy, our developed intelligent system is considered as a good system.
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2,354
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Please write an abstract with title: Business Ecosystem Management : A Model for the Governance, Auditing and Design of Business Ecosystems, and key words: Industries, Adaptation models, Phase measurement, Biological system modeling, Ecosystems, Companies, Particle measurements. Abstract: Current trends such as the increasing commoditization of hardware and the growing generation of customer benefits through software-based services are forcing companies in the mechanical and plant engineering industry to develop innovative Smart Product-Service Systems (PSS) based on new business models. The associated increasing complexity requires the integration of new competencies and resources. This leads to a transformation of individually acting companies to inter-organizational business ecosystems. However, since traditional product-oriented companies in the mechanical and plant engineering industry do not have enough awareness or knowledge about the management of business ecosystems, a management model is required. The goal of this paper is to design a model for the management of business ecosystems within the development of Smart PSS. For this purpose, a comprehensive literature review was conducted in which existing approaches were identified. Subsequently, these were evaluated according to defined criteria and the necessary components were derived, as the basis for the created model. The model should enable orchestrating companies to design, audit and govern the business ecosystem with the help of three modules. The model contains methods for practical application and considers the different characteristics of a business ecosystem over its life cycle.
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2,355
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Please write an abstract with title: Deep Learning Approach for Earthquake Parameters Classification in Earthquake Early Warning System, and key words: Earthquakes, Feature extraction, Topology, Deep learning, Kernel, Data mining, Windows. Abstract: Magnitude determination of earthquakes is a mandatory step before an earthquake early warning (EEW) system sends an alarm. Beneficiary users of EEW systems dependon how far they are located from such strong events. Therefore,determining the locations of these shakes is an important is sue for the tranquility of citizens as well. In light of that, this article proposes a magnitude, location, depth, and origin timecategorization using earthquake Ml magnitudes between 2 and 9.The dataset used is the fore and aftershocks of the great Tohokuearthquake of March 11,2011, recorded by three stations fromthe Japanese Hi-net seismic network. The proposed algorithmdepends on a convolutional neural network (CNN) which hasthe ability to extract significant features from waveforms thatenabled the classifier to reach a robust performance in the required earthquake parameters. The classification accuracies ofthe suggested approach for magnitude, origin time, depth, andlocation are 93.67%,89.55%,92.54%,and 89.50%, respectively.
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2,356
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Please write an abstract with title: TravelNet: Self-supervised Physically Plausible Hand Motion Learning from Monocular Color Images, and key words: Training, Computer vision, Perturbation methods, Color, Manuals, Space exploration, Reliability. Abstract: This paper aims to reconstruct physically plausible hand motion from monocular color images. Existing frame-by-frame estimating approaches can not guarantee the physical plausibility (e.g. penetration, jittering) directly. In this paper, we embed physical constraints on the per-frame estimated motions in both spatial and temporal space. Our key idea is to adopt a self-supervised learning strategy to train a novel encoder-decoder, named TravelNet, whose training motion data is prepared by the physics engine using discrete pose states. TravelNet captures key pose states from hand motion sequences as compact motion descriptors, inspired by the concept of keyframes in animation. Finally, it manages to extract those key states out of perturbations without manual annotations, and reconstruct the motions preserving details and physical plausibility. In the experiments, we show that the outputs of the TravelNet contain both finger synergism and time consistency. Through the proposed framework, hand motions can be accurately reconstructed and flexibly re-edited, which is superior to the state-of-the-art methods.
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2,357
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Please write an abstract with title: Research on the Application of GA Improved Neural Network in the Prediction of Financial Crisis, and key words: Training, Analytical models, Neural networks, Companies, Predictive models, Data mining, Stakeholders. Abstract: Aiming at the prediction of the financial distress of the company and taking the Chinese manufacturing listed companies as the research object, the abnormal financial situation is specially treated as the sign of the listed companies in financial distress. Genetic algorithm is used as the pre-device of the neural network model to optimize the initial value and threshold value of the network input, shorten the training time of the network, and improve the prediction efficiency of the network. The sample data are from real financial statements of listed companies, and 67 companies with normal and abnormal financial conditions are selected for empirical research. The original financial crisis early warning model and the financial crisis early warning model based on genetic algorithm are constructed. Empirical research shows that the prediction accuracy of the optimization model is higher than that of the traditional BP neural network model, which can improve the financial crisis early warning ability and analysis efficiency of listed companies from the perspective of technology.
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Please write an abstract with title: State of Art of Designing Power Electronics Converter for Low Voltage Motor Drives for Electric Vehicle, and key words: Conferences, Power electronics, Smart grids, Renewable energy sources, Low voltage, Bidirectional control, DC motors. Abstract: In recent times, the boom in electric vehicle (EV) is increasing due to the development of highly efficient power converters and to reduce the fossil fuel dependency. Hence, the progress in both electric and hybrid vehicles are rising. However, the safety become an issue in EVs for operating at high voltage level. Therefore, the application of the low voltage motor in EVs is proposed. This helps to increase the safety in the vehicle and reliability of the system. The proposed voltage for such low voltage motor drives is 48V. This voltage level is also beneficial for integration of battery and ultra-capacitors (UCs). This paper proposes the state of art of designing power converters for low voltage motor drives. Additionally, a novel bi-directional DC-DC converter with reconfigurable transformer is proposed for driving low voltage motors. The proposed bi-directional converter can operate with wide input (12V-4SV) and wide output voltage (1.5V-24V) ranges for power level of 1. 2kW. Analysis of this system and operating principle of the novel converter are also included for different output voltage and current levels. The presence of UCs in the system helps to improve the control response required during accelerating and braking. The simulation results of the system are included in the paper for different voltage and speed levels. The preliminary experiment result is included in the paper.
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2,359
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Please write an abstract with title: A Doherty Power Amplifier Based on the Harmonic Generating Mechanism, and key words: Performance evaluation, Power amplifiers, Modulation, Voltage, Switches, Power system harmonics, Harmonic analysis. Abstract: This Paper presents an energy-efficient asymmetrical Doherty amplifier based on the harmonic-tuned Class-F and Class- mode of operations. In addition, the design procedure of multi-resonant circuits tuned for second and third harmonics at the devise input/output are explored. The saturated Doherty architecture is designed by 10W GaN HEMT device from CREE at 3.6GHz and power added efficiencies of 50% at 8dB back-off and 55% at maximum output power of 43dBm have been achieved. This superposition performance has been confirmed by comparing the simulated results with that of conventional Doherty.
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2,360
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Please write an abstract with title: Optimization of InGaAsN on GaAs(111)B for semiconductor laser devices, and key words: Gallium arsenide, Semiconductor lasers, Optical materials, Nitrogen, Surface emitting lasers, Stimulated emission, Plasma materials processing, Plasma temperature, Plasma x-ray sources, Substrates. Abstract: In this work we present our contribution to the optimization of the InGaAsN material grown on misoriented GaAs(111)B substrates. We show the improvement of optical quality after characterization and optimization of plasma parameters. In addition, our growth procedure to avoid N induced damage on the surface is presented. Finally, we show the improvement in the optical emission of InGaAsN p-i-n diodes after post-growth rapid thermal annealing. Our results show that the quality of the material is high enough to start to develop laser devices based on InGaAsN on GaAs(111)B.
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2,361
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Please write an abstract with title: A new hybdrid steganographic technique for images, and key words: Steganography, Image coding, Media, Encoding, Discrete wavelet transforms, Decoding, Discrete cosine transforms. Abstract: Steganography is a technique that aims to hide the communication between two interlocutors. Steganography, unlike cryptography, allows to hide a message within a cover medium that can allow it to be transferred without arousing suspicion. Currently there are numerous techniques depending on the digital file (also named cover media or briefly cover) that is used to hide the message for which it is desired to ensure the necessary protection (also named secret message). In this way, the desired recipient can only read it. As regards the images, some main techniques are based on the modification of the LSB (Least Significant Bit) of each pixel of the cover image and on the modification of the bits of the DCT (Discrete Cosine Transform) values of the image itself. The purpose of the present work is to illustrate a new hybrid steganographic technique that merges the two methodologies illustrated above. It also allows to use an appropriate parameter as a cryptographic key for encoding and decoding the secret message.
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2,362
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Please write an abstract with title: Applying simulated annealing for domain generation in ad hoc networks, and key words: Simulated annealing, Ad hoc networks, Routing protocols, Cost function, Scheduling algorithm, Robustness, Algorithm design and analysis, Design optimization, Delay, Cooling. Abstract: If heterogeneous ad hoc battlefield networks are to scale to hundreds or thousands of nodes, then they must be automatically split into separate network domains. Domains allow routing, QoS and other networking protocols to operate on the fewer nodes. This division greatly reduces the overall overhead (e.g., routing overhead with n nodes that goes from O(n/sup 2/) to O(nlogn) and allows protocols to be tuned to more homogenous conditions (K. Manousakis et al., 2002). Domain generation (or clustering) can be done using either the local or global information. The two approaches are complementary since local domain generation reacts faster, requires less overhead, and is more robust while the global domain generation provides better overall domains. While the most existing work has concentrated on the local distributed solutions, this paper reports on the new global domain generation techniques. In particular we concentrate on the design of good cost functions and efficient optimization algorithms. We show that the simple "intuitive" cost functions do not produce good domains; rather we need complex functions with multiple parameters depending on the design goals (e.g., low overhead or low delay). Although existing optimization algorithms are too slow to be useful in a large dynamic network, we show that a modified simulated annealing algorithm with well chosen cooling schedule, state transition probabilities, and stop criteria produces good quality domains in acceptable time.
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2,363
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Please write an abstract with title: Adaptive controller for reactive power compensation in a current-source active power filter, and key words: Programmable control, Adaptive control, Reactive power control, Active filters, Power harmonic filters, Feedback, Reactive power, Telecommunication control, Power system harmonics, Power generation. Abstract: This paper proposes a controller implemented in a current-source active power filter (CS-APF) which can adjust adaptively the reactive power generated by the APF. With this controller, the line current distortion level can be kept within a certain limit whilst the system power factor can be maintained at a highest available level. In an APF with DSP-based controller, the proposed algorithm can be implemented with some modification in the controller software only. Performance of a CS-APF with and without this adaptive controller are simulated and compared to show the validity of the proposed approach.
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2,364
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Please write an abstract with title: A New Slotted-Pipe Kicker Magnet for Bepcii Storage Ring, and key words: Storage rings, Surface impedance, Ceramics, Magnetoelasticity, Metallization, Coatings, Magnetic shielding, Accelerator magnets, Structural beams, Prototypes. Abstract: For the severe requirements of BEPCII injecting kicker magnets, the two schemes of low impedance kicker magnets used in other accelerator labs in the world are not adaptive to the BEPCII storage ring. A new scheme of kicker magnets proposed in this article solves the difficult problem of BEPCII kicker magnet design. And the successful construction of a prototype has demonstrated that the new scheme of kicker magnets is viable and the design of the kicker magnet structure is reasonable.
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2,365
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Please write an abstract with title: TA-Student VQA: Multi-Agents Training by Self-Questioning, and key words: Visualization, Training, Knowledge discovery, Standards, Task analysis, Boosting. Abstract: There are two main challenges in Visual Question Answering (VQA). The first one is that each model obtains its strengths and shortcomings when applied to several questions; what is more, the “ceiling effect” for specific questions is difficult to overcome with simple consecutive training. The second challenge is that even the state-of-the-art dataset is of large scale, questions targeted at a single image are off in format and lack diversity in content. We introduce our self-questioning model with multi-agent training: TA-student VQA. This framework differs from standard VQA algorithms by involving question-generating mechanisms and collaborative learning questions between question-answering agents. Thus, TA-student VQA overcomes the limitation of the content diversity and format variation of questions and improves the overall performance of multiple question-answering agents. We evaluate our model on VQA-v2, which outperforms algorithms without such mechanisms. In addition, TA-student VQA achieves a greater model capacity, allowing it to answer more generated questions in addition to those in the annotated datasets.
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2,366
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Please write an abstract with title: Robust Automatic Modulation Classification in the Presence of Adversarial Attacks, and key words: Wireless communication, Deep learning, Recurrent neural networks, RF signals, Modulation, Interference, Receivers. Abstract: Automatic modulation classification (AMC) is used in intelligent receivers operating in shared spectrum environments to classify the modulation constellation of radio frequency (RF) signals from received waveforms. Recently, deep learning has proven capable of enhancing AMC performance using both convolutional neural networks (CNNs) and recurrent neural networks (RNNs). However, deep learning-based AMC models are susceptible to adversarial attacks, which can significantly degrade the performance of well-trained models by adding small amounts of interference into wireless RF signals during transmission. In this work, we present a two-fold defense mechanism to withstand adversarial interference on modulated radio signals. Specifically, our method consists of (1) correcting misclassifications on mild attacks and (2) detecting the presence of an adversary on more potent attacks. We show that our proposed defense is capable of withstanding adversarial interference injected into RF signals while maintaining false positive detection rates on CNNs and RNNs as low as 3%.
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2,367
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Please write an abstract with title: Perceptual Distortions Between Windows and Screens: Stereopsis Predicts Motion Parallax, and key words: Observers, Stereo image processing, Visualization, Distortion, Immersive experience, Three-dimensional displays, Virtual reality. Abstract: Stereopsis and motion parallax provide depth information, capable of producing more realistic user experiences after being integrated into a flat screen (e.g. immersive virtual reality). Extensive research shows that stereoscopic screens increase realism, while few studies have investigated users’ responses to parallax screens without stereopsis. In this study, we examined users’ evaluations of screens with only parallax or stereopsis. We found that with only parallax, the mapping between observer motion and viewpoint change should be around 0.6 for a more realistic perceptual experience, and observers were less sensitive to stereoscopic distortions as a result of a different interpupillary distance scaling.
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2,368
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Please write an abstract with title: Federated Learning Empowered Real-Time Medical Data Processing Method for Smart Healthcare, and key words: Medical diagnostic imaging, Data models, Solid modeling, Real-time systems, Medical diagnosis, Learning systems, Collaborative work. Abstract: Computer-aided diagnosis (CAD) has always been an important research topic for applying artificial intelligence in smart healthcare. Sufficient medical data are one of the most critical factors in CAD research. However, medical data are usually obtained in chronological order and cannot be collected all at once, which poses difficulties for the application of deep learning technology in the medical field. The traditional batch learning method consumes considerable time and space resources for real-time medical data, and the incremental learning method often leads to catastrophic forgetting. To solve these problems, we propose a real-time medical data processing method based on federated learning. We divide the process into the model stage and the exemplar stage. In the model stage, we use the federated learning method to fuse the old and new models to mitigate the catastrophic forgetting problem of the new model. In the exemplar stage, we use the most representative exemplars selected from the old data to help the new model review the old knowledge, which further mitigates the catastrophic forgetting problem of the new model. We use this method to conduct experiments on a simulated medical real-time data stream. The experimental results show that our method can learn a disease diagnosis model from a continuous medical real-time data stream. As the amount of data increases, the performance of the disease diagnosis model continues to improve, and the catastrophic forgetting problem has been effectively mitigated. Compared with the traditional batch learning method, our method can significantly save time and space resources.
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2,369
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Please write an abstract with title: An Efficient Generation and Security Analysis of Substitution Box Using Fingerprint Patterns, and key words: Fingerprint recognition, Cryptography, DNA, Bioinformatics, Logistics, Optimization. Abstract: Information and its security have attracted the research community in recent years with increasing usage of mobile applications. Mobile devices have different security options in data transmission such as reading some biometric values. The keystone of the modern block and stream ciphers is the use of a substitution box (s-box) that obscures correlation between plaintext and ciphertext. In this study, we proposed a novel s-box generation algorithm by using the fingerprint pattern of the person who transfers information to the target. We generated several s-boxes by using bifurcation and ridge ending features of the fingerprint. Proposed s-boxes are compared with several known s-boxes over nonlinearity, bijectiveness, strict avalanche criterion, bit independence criterion, linear probability, and differential probability. Along with these properties, we analyzed confidence interval and randomness properties of new s-boxes as well. Also, the execution time of the proposed s-box generation algorithm is calculated and examined. The results of the cryptographic properties have shown that the proposed s-boxes by using ridge ending of the fingerprint performs better. The performances analysis show that the proposed s-box has satisfactory results according to the results of chaotic-based s-boxes. On the other hand, the fingerprint s-boxes are much better than the existing biometric s-boxes according to the s-box security metrics. The results have shown that the execution time of the proposed s-box generation algorithm is more minimum than the existing biometric s-box generation algorithms. Resulting from applying fingerprint biometric data to generate an s-box, such a successful algorithm is promising to be used in mobile devices.
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2,370
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Please write an abstract with title: Promotion of Accountability and Performance of the Social Economy Entities with SaaS Multi-Tenant Information Systems, and key words: Stakeholders, Law, Organizations, Software as a service, Economics, Computer architecture. Abstract: This paper presents a technological component developed in a context of a more comprehensive project, in the context of Private Institutions for Social Solidarity (IPSS) in Portugal. This component includes a digital platform that supports the operationalization of a framework, which is composed by a set of indicators capable to assess the financial, social and economic impact of the social economy sector. In addition, the work helps the entities in this sector to be more accountable and to comply with legal requirements. After many financial scandals in this sector, it is necessary to restore its credibility in addition to the low number of entities which are complying with the legal requirement regarding the financial data disclosure, this project is relevant and innovative, enabling transparency and accountability and promoting entities' performance. This paper presents the conceptualization of the digital platform that supports the project. Because of this work is still in progress, the paper focuses on the presentation of the methodology (Design Science) and the functional and conceptual aspects of the digital platform.
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2,371
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Please write an abstract with title: Federated Learning Techniques for 5G Mobile Networks, and key words: Data privacy, 5G mobile communication, Simulation, Redundancy, Collaborative work, Data models, Telecommunications. Abstract: The growing adoption of AI/ML in 5G mobile networks results in the increased amount of the sensitive data sharing by the end users, which may cause certain privacy and security concerns. Therefore, the general efforts in the direction of privacy protection by AI/ML community so far are focused on the federated learning techniques. In this paper, we consider the main advantages of the decentralized federated learning approach in the case of 5G mobile networks, in terms of the data privacy for subscribers. We implement the federated learning model to the task of network load prediction. Simulation results show that proposed federated learning model provided the same accuracy as conventional learning model, while reducing the redundancy and ensuring the privacy of user's data.
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2,372
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Please write an abstract with title: Robust Prescribed-Time Coordination Control of Signed Networks With Arbitrary Topologies, and key words: Signed networks, prescribed-time coordination control, signed digraph, disturbances, sliding mode control. Abstract: This article targets at addressing the robust prescribed-time coordination control (PTCC) problems for single-integrator signed networks (SNs) with external disturbances under arbitrary fixed signed digraphs without any structural constraints. Toward this end, the PTCC problems for nominal single-integrator SNs without disturbances are first investigated and a fully distributed control protocol with a time-varying gain, which grows to infinity as the time approaches the prescribed settling time, is proposed utilizing the relative states of neighboring agents. Then, based on the proposed control protocol for the nominal single-integrator SNs, a new second-order prescribed-time sliding mode control protocol is constructed to achieve accurate PTCC for single-integrator SNs in the presence of external disturbances. Using Lyapunov-based analysis, necessary and sufficient conditions to guarantee the prescribed-time stability, bipartite consensus, interval bipartite consensus, and bipartite containment of single-integrator SNs without or with disturbances are, respectively, derived. In the end, numerical examples are given to confirm the derived results.
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2,373
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Please write an abstract with title: State-of-the Art of MMIC Technology and Design in West Germany, and key words: Art, MMICs, Inductors, Spirals, Microstrip, Design automation, Gallium arsenide, Microwave devices, Capacitors, Inductance. Abstract: The report presents advanced CAD models of lumped element MMIC's and some new technological features - a selfaligned gate process called DIOM, and the successful application of x-ray lithography. Different types of amplifier MMIC's and devices for DBS and PAR will be discussed.
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2,374
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Please write an abstract with title: Accuracy Evaluation of High Resolution Global Land Cover Products: A Case Study of Nine Urban Agglomerations, and key words: Earth, Graphical models, Urban areas, Ecosystems, Sea measurements, Land surface, Production. Abstract: Large scale land cover data is an important basis for global land surface process research, ecosystem assessment, environmental modeling and other scientific research. Studying the characteristics of existing data sets has guiding significance for data users and the production of new data sets. Taking nine urban agglomerations (Yangtze River Delta Urban Agglomeration, Beijing Tianjin Hebei Urban Agglomeration, Guangdong-Hong Kong-Macao Greater Bay Area, Northwest Urban Agglomeration, Japan’s Pacific Coastal Urban Agglomerations, Greater London Urban Agglomeration, West Coast Urban Agglomeration, Atlantic Coast Urban Agglomeration and Great Lakes city Urban Agglomeration) as the study area, this study analyzed the spatial consistency of four land cover datasets, namely, GlobeLand30, FROM-GLC, GLCFCS30 and CCI-LC and evaluated the accuracy of the four land cover datasets using Google Earth high-resolution images. The results show that the spatial distribution patterns of the same land cover features in different land cover data sets are quite different, and the overall consistency coefficient among different land cover data sets is low; FROM-GLC has the highest overall precision and kappa coefficient, while CCI-LC has the lowest overall precision and kappa coefficient.
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2,375
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Please write an abstract with title: A novel detection scheme for THz waves based on upconversion at room temperature, and key words: Temperature, Pulse measurements, Power measurement, Gases, Bolometers, Schottky diodes, Wavelength measurement, Space vector pulse width modulation, Frequency conversion, Laser tuning. Abstract: We have implemented a new scheme for detecting THz waves based on upconversion. This scheme allows us to measure the peak power, wavelength, linewidth, and pulse width of a THz wave at room temperature.
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2,376
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Please write an abstract with title: Improvement of TFRC Congestion Control Algorithm Based on LSTM, and key words: Training, Protocols, Neural networks, Packet loss, Bandwidth, Predictive models, Market research. Abstract: Transmission Control Protocol Friendly Rate Control (TFRC), as a mechanism to implement User Datagram Protocol (UDP) congestion control, can share bandwidth resources friendly with Transmission Control Protocol (TCP) data streams. However, since it is still a connectionless transmission mode in nature, there are problems that congestion has occurred when the transmission rate is adjusted, and the curve changes too much when the channel is unstable. In order to improve these problems, this paper proposes a method of network change trend prediction based on Long Short-Term Memory (LSTM). This method collects the packet loss rate in a certain period of time for neural network training, predicts the packet loss rate at a later time according to the input packet loss rate data, and converts the predicted data into the packet loss rate change trend to join the algorithm. The simulation experiment results show that the output curve with prediction has smaller change interval and smoother change trend compared with the output curve of the original algorithm.
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2,377
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Please write an abstract with title: Pulsed Current Constant Voltage (PCCV) Controller for Wireless Electric Vehicle Charger, and key words: Wireless communication, Lithium-ion batteries, Time-frequency analysis, Wireless power transfer, Electric vehicles, Real-time systems, Inverters. Abstract: This paper presents the design and implementation of a wireless power transfer (WPT) system for electric vehicles (EVs). A pulsed-current constant-voltage (PCCV) controller is proposed for a phase-shifted full-bridge (PSFB) inverter that aims to improve the longevity of lithium-ion (Li-ion) batteries and obtain a faster charging rate. The proposed controller utilizes an efficient charging technique called pulse charging, which charges the battery with pulses of current, allowing ions to be evenly distributed during relaxation periods, thus improving the life-cycle of the battery. This technique has proven to be more efficient when compared to the most common techniques, such as constant-current constant-voltage (CCCV) and multi-stage constant-current (MSCC). The proposed controller is verified using a real-time simulator and tested on the developed WPT system using a power hardware-in-the-loop (PHIL) simulation. Experimental results show successful operation of both PC mode and CV mode with a dc-dc efficiency of up to 86%.
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2,378
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Please write an abstract with title: Carrier frequency estimation for transmissions with antenna diversity, and key words: Frequency estimation, Transmitting antennas, Maximum likelihood estimation, Transmitters, AWGN, Receiving antennas, Fading, Baseband, Mean square error methods, Statistical analysis. Abstract: This paper deals with carrier frequency estimation for transmissions with antenna diversity. Joint maximum likelihood estimates (MLE) of channel and frequency offset are derived and periodic space-time training sequences that can simplify the implementation of the ML frequency estimate, while minimizing the mean square error (MSE) of the estimate are designed. Statistical analysis indicates that the MLE is unbiased and almost achieves the Cramer-Rao bound (CRB). Simulation shows that MLE with optimal training sequences is preferable to one with arbitrary training sequences in mobile communications.
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2,379
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Please write an abstract with title: Design and Implementation of a Communications Circuit based on LoRa chip, and key words: Fading channels, Noise figure, Protocols, Fires, Vegetation mapping, Real-time systems, Sensor systems. Abstract: Forest fires are one of the main threats nowadays due to the consequences they have for the society and economy. During a wildfire, to obtain information about the status and evolution of the flames, communications systems become a key aspect in extinguishing the flames.These communications systems must provide real-time information to be useful. For getting the real-time feature, the sensors which obtain the data must be easy to deploy. This way, the sensors and the communications system will be carried by light mobile units. The communications protocols suitable for light mobile units work in high frequency bands.However, under rural environmental conditions, these bands have critical fading due to a high vegetation density and the orography. To avoid this fading, a design, and an implementation of a VHF (Very High Frequency) header for a LoRa (Long Range) chip has been presented and implemented in this paper.
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2,380
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Please write an abstract with title: Dual-Band Circularly Polarized Annular Ring Patch Antenna for GPS-Aided GEO-Augmented Navigation Receivers, and key words: Antennas, Antenna measurements, Bandwidth, Gain, Antenna feeds, Dual band, Patch antennas. Abstract: A compact, single- feed, dual band, circularly polarized annular ring patch antenna coupled to a cross slot is proposed in this letter for GPS-aided GEO-augmented navigation (GAGAN) receivers covering L band, centered at 1176.45 MHz (L5) and 1575.42 MHz (L1) frequencies. The antenna consists of two annular rings configured by two small strips, which is coupled to a cross slot in the ground plane for gain enhancement. Circular polarization in both the bands is produced by introducing perturbations in outer annular ring and two orthogonal strips in the center space of inner annular ring. The proposed CP antenna radiates LHCP in both the desired frequencies. Two shorting pins are introduced near the feed to improve impedance matching. The simulated and measured reflection coefficient, gain, circular polarization, and axial ratio are in accord with each other. The measured 10 dB bandwidth is 2.7% (1168–1200 MHz) for the L5 and 2.5% (1560–1600 MHz) for L1. The AR bandwidth below 3 dB for the designed antenna is 1.5% (1156–1174 MHz) for L5 and 1% (1556–1572 MHz) for L1.
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2,381
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Please write an abstract with title: Collision Avoidance Engineering Design for Satellite Formation Flying, and key words: Satellites, Collision avoidance, Orbits, Security, Space vehicles, Aerospace control, Electronic mail. Abstract: Due to the operational requirements and the space perturbation, the formation satellites need to be controlled more frequently than a single larger satellite. To avoid catastrophic consequences to the mission, formation security should be particularly considered. Since the space operation center has been monitoring foreign objects close proximity the formation, the collision avoidance engineering design for inter-satellite security is discussed in the paper. Combined with typical formation control cases, collision avoidance strategy will be detailed. In order to verify the proposed method practical, simulation examples are constructed with the state parameters coming from the TanDEM-X mission. Simulation results show the method is effective and practical.
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2,382
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Please write an abstract with title: Use of Simulation Modeling to Select Input Variables in Predictive Models for the Demand for Emergency Medical Services in Russia, and key words: Medical services, Input variables, Predictive models, Sociology, Statistics, System dynamics, Urban areas. Abstract: The purpose of this paper is to select input variables for a predictive model for the demand for emergency medical services in the city of Yekaterinburg, Russia. To select the relevant variables, we attempted to analyze a rather wide range of factors and estimate their influence on the demand for emergency medical services. The paper suggests a simulation model based on studies of the structure of utilization conducted by Russian researchers. The following elements were considered in the analysis of the set of factors causing the changes in the demand for emergency medical services: (1) the flow of patients calling an ambulance (2) state variables — interconnected factors affecting the flow rate (1). The simulation model allowed us to determine the most important variables affecting the utilization of emergency medical services and range them according to their influence. These variables can be used in the future for predictive analysis. The study results do not differ from the opinions of Russian experts that the demand for emergency medical services can be lowered by growing the capacity of outpatient healthcare institutions.
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2,383
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Please write an abstract with title: Characteristics modeling of photonic crystal by using numerical techniques, and key words: Photonic crystals, Photonic integrated circuits, Photonic band gap, Crystalline materials, Electromagnetic propagation, Optical materials, Optical control, Lighting control, Optical computing, Dielectric materials. Abstract: Photonic band-gap (PBG) materials are periodic dielectric crystals that exhibit a photonic band-gap analogous to the electronic band-gap present in semiconductors. Their fabrication, however, requires extremely high resolution and is very costly. Due to the high expense in experimental fabrication, accurate modeling and prediction of a novel PBG structure characteristics are highly desirable. This paper presents an investigation on the effects of dielectric material properties and structures on the photonic band characteristics by using numerical simulation approaches.
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2,384
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Please write an abstract with title: Identifying important features for intrusion detection using support vector machines and neural networks, and key words: Computer vision, Intrusion detection, Support vector machines, Neural networks, Computer crime, TCPIP, Local area networks, Computer science, Information systems, Telecommunication traffic. Abstract: Intrusion detection is a critical component of secure information systems. This paper addresses the issue of identifying important input features in building an intrusion detection system (IDS). Since elimination of the insignificant and/or useless inputs leads to a simplification of the problem, faster and more accurate detection may result. Feature ranking and selection, therefore, is an important issue in intrusion detection. We apply the technique of deleting one feature at a time to perform experiments on SVMs and neural networks to rank the importance of input features for the DARPA collected intrusion data. Important features for each of the 5 classes of intrusion patterns in the DARPA data are identified. It is shown that SVM-based and neural network based IDSs using a reduced number of features can deliver enhanced or comparable performance. An IDS for class-specific detection based on five SVMs is proposed.
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2,385
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Please write an abstract with title: Comparing the Effectiveness of “EmoGalaxy Video Game” with “Card games” on Emotion Regulation of Children with Autism Spectrum Disorder, and key words: Autism, Instruments, Games, Regulation, Serious games. Abstract: Emotion regulation is among the most important skills that children and adolescents need to be successful in their social lives. Individuals with autism spectrum disorder have serious deficit in regulating their emotions. Various treatments have been used to improve emotion regulation in children with autism including using video games designed to improve emotion regulation, has attracted many researchers, treating autism or other groups of children with special needs. These games can be used with or without a therapist presence which would save money and energy. This study aimed to evaluate the effects of EmoGalaxy, a video game designed to improve emotion regulation of children with autism spectrum disorder, compared to a card games with emotion regulation approach. Effectiveness of both interventions were evaluated by a quasi-experimental research with pretest-posttest and a control group. 10 students in the first experimental group played with EmoGalaxy, while the second experimental group, with 10 students, played regular cards games. The control group, consisted of 10 students did not receive any treatment and waited to receive the intervention after the experimental group intervention period. The instrument used in this study to evaluate the emotion regulation of the participants was the emotion regulation checklist (Shields & Cicchetti, 2004). The obtained data was analyzed by Multiple Analysis of the Covariance (MANCOVA). The results of the study showed that computer cognitive games led to significant changes compared to the other experimental group and the control group in emotion regulation (p<; 0.05). It is concluded that computer games can be used to improve emotion regulation in children with autism spectrum disorder.
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2,386
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Please write an abstract with title: Reliable, Efficient Large-File Delivery over Lossy, Unidirectional Links, and key words: Protocols, Conferences, Network architecture, Cyber-physical systems, Downlink, Parity check codes, Time measurement. Abstract: Many mission-specific network architectures inhibit or delay bidirectional connectivity among hosts. Such constraints are common in Delay-Tolerant Networks, cyber-physical systems, and secured networks, where crucial network protocols - principally the Transmission Control Protocol (TCP) - cannot be used. In this paper, we present a process based upon Low-Density Parity Check (LDPC) codes for efficiently and reliably bridging TCP connections across network segments whose architecture enforces one-way data flows and prevents Automatic Repeat Request (ARQ) prompts. We demonstrate its performance, measured by the time required to complete a file transaction, as comparable to scp (Secure Copy), a common file transfer utility.
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2,387
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Please write an abstract with title: A Modular Multilevel Converter Station With Multiple MVac Ports, and key words: Topology, Costs, Power conversion, Hybrid power systems, Voltage control, Harmonic analysis, Distribution networks. Abstract: Medium voltage (MV) ac–dc hybrid distribution network attracts much interest due to its high reliability, high power quality, and high compatibility with distributed generation and dc loads. As the key enablers to interconnect ac and dc grids, the converter stations usually adopt the modular multilevel converter (MMC) topology due to its superior modularity and scalability. Unlike the conventional stations that are implemented with multiple MMCs to accommodate multiple ac feeders, a novel multi-ac-port MMC station (MACP-MMC), which evolves from the MMC topology, is proposed in this article to interconnect different ac feeders and facilitate flexible power exchange in the MV hybrid distribution network. In addition to the benefits inherited from the MMC, the proposed MACP-MMC also features easy multiport extension, bidirectional power flow adjustment, high power density, and low cost. The operation principle, energy balance mechanism, and control strategies are elaborated. Finally, its effectiveness is verified by both simulation results in a 3-MVA case and experimental results obtained from a 3-kVA scaled-down lab prototype.
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2,388
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Please write an abstract with title: On the Physical Layer Security of Federated Learning Based IoMT Networks, and key words: Data privacy, Hospitals, Servers, Monitoring, Medical services, Distributed databases, Data models. Abstract: Internet of Medical Things (IoMT) connects different medical devices, health sensors and hospital records to data platforms using wireless communications. Federated Learning (FL) is an emerging collaborative learning technique that can be beneficial for IoMT due to reduced communication overhead and enhanced security. This paper provides an overview of different architectures used in FL and potential approaches for FL based IoMT. We also discuss how Physical Layer Security (PLS) can be used for efficient privacy preservation of data in FL based IoMT. We highlight the recent work in this area and major research challenges related to PLS assisted FL in IoMT. We also provide a case study demonstrating that clustering of IoMT devices (such that a single device in each cluster acts as a cluster head) enhances the secrecy rate of the FL based IoMT network as compared to its non-clustered counterpart. Finally, we also discuss future opportunities and open research questions related to PLS assisted FL in IoMT.
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2,389
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Please write an abstract with title: Adaptive Random Test Case Generation Based on Multi-objective Evolutionary Search, and key words: Privacy, Subspace constraints, Ear, Software, Power capacitors, Security, Testing. Abstract: Diversity is the key factor for test cases to detect program failures. Adaptive random testing (ART) is one of the effective methods to improve the diversity of test cases. Being an ART algorithm, the evolutionary adaptive random testing (eAR) only increases the distance between test cases to enhance its failure detection ability. This paper presents a new ART algorithm, MoesART, based on multi-objective evolutionary search. In this algorithm, in addition to the dispersion diversity, two other new diversities (or optimization objectives) are designed from the perspectives of the balance and proportionality of test cases. Then, the Pareto optimal solution returned by the NSGA-II framework is used as the next test case. In the experiments, the typical block failure pattern in the cases of two-dimensional and three-dimensional input domains is used to validate the effectiveness of the proposed MoesART algorithm. The experimental results show that MoesART exhibits better failure detection ability than both eAR and the fixed-sized-candidate-set ART (FSCS-ART), especially for the programs with three-dimensional input domain.
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2,390
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Please write an abstract with title: Front-end policies for improved issue efficiency in SMT processors, and key words: Surface-mount technology, Microprocessors, Hardware, Yarn, Clocks, Costs, Delay, Parallel processing, Timing, Technological innovation. Abstract: The performance and power optimization of dynamic superscalar microprocessors requires striking a careful balance between exploiting parallelism and hardware simplification. Hardware structures which are needlessly complex may exacerbate critical timing paths and dissipate extra power. One such structure requiring careful design is the issue queue. In a simultaneous multi-threading (SMT) processor it is particularly challenging to achieve issue queue simplification due to the increased utilization of the queue afforded by multi-threading. In this paper we propose new front-end policies that reduce the required integer and floating point issue queue sizes in SMT processors. We explore both general policies as well as those directed towards alleviating a particular cause of issue queue inefficiency. For the same level of performance, the most effective policies reduce the issue queue occupancy by 33% for an SMT processor with appropriately sized issue queue resources.
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2,391
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Please write an abstract with title: Overview of FPGA and CPLD Device Testing Techniques Based on ATE, and key words: Circuits and systems, Conferences, Programmable logic devices, Field programmable gate arrays, Testing. Abstract: Aiming at the test and development of programmable logic devices, this article focuses on the differences in FPGA test configurations from vendors, the differences in CPLD test configurations from vendors, and the differences between FPGA and CPLD device testing. Based on these analysis conclusions, it will play a certain guiding role for subsequent test development and engineering applications.
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2,392
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Please write an abstract with title: Promising Green Telecommunications Based on Hybrid Network Architecture, and key words: Optical fibers, Optical fiber networks, Optical transmitters, Optical mixing, Optical attenuators, Frequency conversion. Abstract: The possibilities of implementing the concepts of green telecommunications using the millimeter-wave network architecture, HetNets technology, fiber-wireless technology with remote heterodyning were considered. Such architectures allow to provide high bandwidth, are more energy efficient, reduce electromagnetic pollution and reduce the complexity of information processing systems. Advantages of the proposed technologies and network architectures will be able to contribute to the development of multiplexing systems with separation by polarization, the implementation of adaptive systems for choosing radio frequencies, including for various sub-bands of millimeter waves, increasing the efficiency of using MIMO technologies.
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2,393
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Please write an abstract with title: Massive MIMO Beam Management in Sub-6 GHz 5G NR, and key words: Vehicular and wireless technologies, Array signal processing, 5G mobile communication, Heuristic algorithms, Discrete Fourier transforms, Amplitude modulation, Synchronization. Abstract: Beam codebooks are a new feature of massive multiple-input multiple-output (M-MIMO) in 5G new radio (NR). Codebooks comprised of beamforming vectors are used to transmit reference signals and obtain limited channel state information (CSI) from receivers via the codeword index. This enables large arrays that cannot otherwise obtain sufficient CSI. The performance, however, is limited by the codebook design. In this paper, we show that machine learning can be used to train site-specific codebooks for initial access. We design a neural network based on an autoencoder architecture that uses a beamspace observation in combination with RF environment characteristics to improve the synchronization signal (SS) burst codebook. We test our algorithm using a flexible dataset of channels generated from QuaDRiGa. The results show that our model outperforms the industry standard (DFT beams) and approaches the optimal performance (perfect CSI and singular value decomposition (SVD)-based beamforming), using only a few bits of feedback.
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2,394
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Please write an abstract with title: Blockchain-based P2P multimedia content distribution using collusion-resistant fingerprinting, and key words: Contracts, Copyright protection, Cryptography, Watermarking, Peer-to-peer computing, Media. Abstract: Due to the popularization of low-cost broadband Internet access, the amount of the digital data that is illegally redistributed is growing, making content creators and owners lose their income. Fingerprinting, a watermarking-based technology for embedding buyer identifications in legally distributed contents, has emerged as a promising approach to fight illegal redistribution. On the other hand, the blockchain technology is also shaping up to handle the challenge of digital copyright protection. With blockchain, media producers can authorize and manage their copyrights on a public ledger. In this paper, we present a blockchain-based distribution system which blends different technologies (collusion-resistant fingerprinting, perceptual hash functions, and a peer-to-peer file distribution network) to provide copyright protection, collusion resistance, atomic payment, piracy tracing, transparency, proof-of-delivery, revocable privacy (to a buyer), and dispute resolution. The paper also analyzes several security and privacy compromising attacks and countermeasures.
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2,395
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Please write an abstract with title: Effect of Residual Mechanical Jitter on Incoherent Beam Combination Through Different Atmospheric Turbulences, and key words: Jitter, Laser beams, Electrooptic effects. Abstract: The effect of Residual Mechanical Jitter (RMJ) has been analysed on the incoherent beam combination through various atmospheric turbulences. It is observed that the RMJ effect is more prominent for lower turbulence than higher turbulence.
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2,396
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Please write an abstract with title: A Review of Vision-Based Traffic Semantic Understanding in ITSs, and key words: Behavioral sciences, Roads, Semantics, Cameras, Visualization, Estimation, Spatiotemporal phenomena. Abstract: A semantic understanding of road traffic can help people understand road traffic flow situations and emergencies more accurately and provide a more accurate basis for anomaly detection and traffic prediction. At present, the overview of computer vision in traffic mainly focuses on the static detection of vehicles and pedestrians. There are few in-depth studies on the semantic understanding of road traffic using visual methods. This paper aims to review recent approaches to the semantic understanding of road traffic using vision sensors to bridge this gap. First, this paper classifies all kinds of traffic monitoring analysis methods from the two perspectives of macro traffic flow and micro road behavior. Next, the techniques for each class of methods are reviewed and discussed in detail. Finally, we analyze the existing traffic monitoring challenges and corresponding solutions.
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2,397
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Please write an abstract with title: Hierarchical Superpixel Segmentation by Parallel CRTrees Labeling, and key words: Labeling, Forestry, Image segmentation, Graphics processing units, Clustering algorithms, Prediction algorithms, Vegetation. Abstract: This paper proposes a hierarchical superpixel segmentation by representing an image as a hierarchy of 1-nearest neighbor (1-NN) graphs with pixels/superpixels denoting the graph vertices. The 1-NN graphs are built from the pixel/superpixel adjacent matrices to ensure connectivity. To determine the next-level superpixel hierarchy, inspired by FINCH clustering, the weakly connected components (WCCs) of the 1-NN graph are labeled as superpixels. We reveal that the WCCs of a 1-NN graph consist of a forest of cycle-root-trees (CRTrees). The forest-like structure inspires us to propose a two-stage parallel CRTrees labeling which first links the child vertices to the cycle-roots and then labels all the vertices by the cycle-roots. We also propose an inter-inner superpixel distance penalization and a Lab color lightness penalization base on the property that the distance of a CRTree decreases monotonically from the child to root vertices. Experiments show the parallel CRTrees labeling is several times faster than recent advanced sequential and parallel connected components labeling algorithms. The proposed hierarchical superpixel segmentation has comparable performance to the best performer ETPS (state-of-the-arts) on the BSDS500, NYUV2, and Fash datasets. At the same time, it can achieve 200FPS for 480P video streams.
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2,398
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Please write an abstract with title: Application of Transformed Cubature Quadrature Information Filtering in Distributed POS, and key words: Estimation, Kalman filters, Imaging, Radar imaging, Noise measurement, Earth Observing System, Q measurement. Abstract: For aerial earth observation system, the accuracy of motion parameters provided by airborne distributed position and orientation system (POS) is crucial to the observation load imaging quality. According to the working principle, slave systems of distributed POS rely on the master node information to realize error estimation and correction, and then to achieve multiple node high accuracy measurement. Due to the nonlinearity of the error model, nonlinear filtering algorithm is used to the estimation process. Then in order to achieve higher estimation performance, a transformed cubature quadrature information filtering algorithm is developed for distributed POS estimation. In this method, the contributions are located that: (1) spherical radial cubature rule and Gauss-Laguerre quadrature rule are used to generate sigma points; (2) orthogonal transformation is conducted on the sampling points to deal with nonlocal sampling; (3) information filtering framework is adopted to simplify filtering update process, then the algorithm is applied in distributed POS nonlinear transfer alignment estimation. By the flight test validation, the outcomes are found that the developed algorithm can enhance the distributed POS estimation accuracy effectively, including attitude, velocity, position accuracy, then can be used to loads imaging quality improvement.
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2,399
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Please write an abstract with title: A hybrid optimal-approximate path planning algorithm, and key words: Path planning, Costs, Computer science, Computational efficiency, Approximation algorithms, Robotics and automation, Roads, Information resources, Orbital robotics, Algorithm design and analysis. Abstract: Path planning is the problem of finding the lowest-cost path between two endpoints in a weighted graph. An optimal algorithm, such as A*, is guaranteed to return the lowest-cost path. However, the computational expense of A* is high on a class of graphs called terrains, motivating the development of approximate algorithms such as HTAP (the hierarchical terrain representation for approximate paths). HTAP has computational cost linear in path length, rather than A*'s quadratic complexity, but does not guarantee the lowest cost path. However, HTAP's overhead means that very short paths are disproportionately costly to find. In this paper, we propose a hybrid algorithm which uses HTAP for long paths and A* for short paths. We empirically compare the hybrid algorithm to the HTAP algorithm on the basis of computational cost. The hybrid algorithm has a significant performance advantage over HTAP in the case of very short paths, and is the same as HTAP for long paths. We report results for a number of terrains, giving performance profiles with respect to path length.
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