ID int64 0 400k | content stringlengths 97 5.85k |
|---|---|
7,100 | Please write an abstract with title: Embedding Framework for Identifying Ambiguous Words in Code-Mixed Social Media Text, and key words: Social networking (online), Context modeling, Natural language processing, Task analysis, Data models, Tagging, Feature extraction. Abstract: Now a day's text on social media contains codeswitched and code-mixed contents. These contents are widely used by people to express their opinions on any topic in the languages known to them. Her code-mixing technique is analyzed to find the words which can be used both in Hindi and in English, having different contexts. This leads to word sense ambiguity problem as one word can have a different meaning when it used in context to other words in a sentence. As Hindi Roman and English language exhibit word sense ambiguity, and resolving this ambiguity is a current research issue using the machine learning model. Here character embedding features are used for the representation of each word written in code-mixed content. The proposed method was developed for identifying context words by classifying the intent for using the ambiguous word in code mixed sentence. A well-known hierarchical LSTM model is used in the paper for context-based sub-word-level ambiguity detection to identify the language of the word. The work on Language Identification in the code-mixed text using character-based embedding for processing ambiguous word is a novel approach and shows promising results. |
7,101 | Please write an abstract with title: Recruiting MCS Workers Strategy with Non-Fixed Reward in Social Network, and key words: Social networking (online), Crowdsensing, Data integrity, Conferences, Collaborative work, Mathematical model, Task analysis. Abstract: In Mobile crowdsensing (MCS), the platform needs an adequate user group to accomplish tasks. Its recruiting worker strategy is essential for sensor data quality. Social-network-assisted worker recruitment effectively expands task coverage. However existing studies enclose two impractical assumptions: influence between users is determined by the number of friends and the recruiting reward is fixed. To solve this problem, a novel influence and cost trade-off (ICT) algorithm is proposed to apply the worker recruitment strategy in the real world. ICT uses linear equations to estimate influence and cost iteratively under the impact of the seed set. Using the influence model based on social interaction, the algorithm selects a near-optimal set of seeds by the revenue-cost-ratio. Empirical studies on three realworld datasets verify that ICT achieves higher performance than baseline methods under various settings. |
7,102 | Please write an abstract with title: Identification of mycobacterium species using curated custom databases, and key words: Databases, Sequences, Genetics, Diseases, Testing, Probes, Information analysis, DNA, Computational modeling, Performance analysis. Abstract: Summary form only given. Advances in molecular biology have resulted in the development of diagnostic tests for infectious diseases based on genetic profiles. While probe based assays dominate the field today, sequence based assays hold great promise for the future. However, the variability in quality of sequence information currently present in public databases limits the potential growth and use of sequence based analysis. To address this problem a standardized method for DNA sequence validation and building of custom databases was developed using mycobacterium as a development model. With this model, a computational approach to identification of infectious diseases was developed and evaluated. The Web-based application, termed BioDatabase, accomplished genetic sequence identification via the creation of curated databases containing a relatively small set of genetic data specific to a species or group. The process for creation of the custom database included multiple steps beginning with identification of highly conserved start and end sequences and intervening sequence validation parameters. The process eliminated the need for multiple sequence alignment with GenBank sequences, whose information is valuable, yet difficult to properly utilize due to its size and quality. The custom database approach maximized application performance with minimal impact on analysis response time, allowing investigation of optimal sequences for identification of all mycobacterium to the species level. In comparison to the 16S and ITS genetic regions, a curated ITS based approach proved most effective for identification of mycobacterium isolates. |
7,103 | Please write an abstract with title: Verifying Accountability for Unbounded Sets of Participants, and key words: Protocols, Electronic voting, Computer security. Abstract: Little can be achieved in the design of security protocols without trusting at least some participants. This trust should be justified or, at the very least, subject to examination. One way to strengthen trustworthiness is to hold parties accountable for their actions, as this provides a strong incentive to refrain from malicious behavior. This has led to an increased interest in accountability in the design of security protocols.In this work, we combine the accountability definition of Künnemann, Esiyok, and Backes [21] with the notion of case tests to extend its applicability to protocols with unbounded sets of participants. We propose a general construction of verdict functions and a set of verification conditions that achieve soundness and completeness.Expressing the verification conditions in terms of trace properties allows us to extend TAMARIN—a protocol verification tool— with the ability to analyze and verify accountability properties in a highly automated way. In contrast to prior work, our approach is significantly more flexible and applicable to a wider range of protocols. |
7,104 | Please write an abstract with title: Heat Exchange Optimization Technique for High-Power Hybrid IC's, and key words: Hybrid integrated circuits, Ceramics, Heat sinks, Thermal conductivity, Heat transfer, Constraint optimization, Design automation, Boundary value problems, Temperature sensors. Abstract: An algorithm for the optimization of the heat exchange conditions in high-power thick-film hybrid IC's is presented. The algorithm for the placement of elements which are temperature sensitive and/or heat sources is discussed. The Powell's multivariable unconstrained optimization technique and the penalty function shifting method in constrained static optimization are proposed as tools. |
7,105 | Please write an abstract with title: Design Guidelines for Recessed Schottky Barrier AlN/GaN Diode for THz Applications, and key words: Metals, Schottky diodes, Resistance, Performance evaluation, Anodes, HEMTs, Capacitance. Abstract: In this work, we have explored the design space for multifinger planar Schottky barrier diodes (SBDs) using AlN/GaN heterostructure for terahertz (THz) applications. Using a well-calibrated computational modeling framework, we have identified the critical design parameters and associated parasitic elements affecting diode's THz performance. The 3-D modeling of parasitics components has been deployed as the 2-D design approach overestimates the performance or underestimates the parasitic components in a multifinger design. Device design guidelines and the tradeoff between various parameters are discussed in detail. The optimum design space and related tradeoffs were found to be nonintuitive due to the presence of 3-D parasitics capacitances and resistances. |
7,106 | Please write an abstract with title: Sub-Synchronous Resonance (SSR) in Series Compensated Networks with High Penetration of Renewable Energy Sources, and key words: Shafts, Renewable energy sources, Correlation, Power measurement, Simulation, Static VAr compensators, Benchmark testing. Abstract: This paper investigates the correlation between sub-synchronous resonance (SSR), its management onwards and the increase in renewable energy penetration levels in power grids. Future trends, problems and opportunities that arise within a changing power system adapting to ever increasing renewable energy sources (RES) integrations are discussed. Renewable energy integrations come with devices comprising power electronics that do not contribute synchronous inertial response to the power system grid. The paper presents theory of the types of SSR, both old and emerging ones and introduces methods of analyzing SSR. A review of the prevalent SSR management techniques and results over the years is shown. A correlation study is tabled and implemented in DlgSilent-Powerfactory with sample results presented. The simulation results showed that integration of more renewable energy sources has a direct effect of increasing SSR. Different renewable technologies e.g. wind and photovoltaic solar result in different SSR occurrences. |
7,107 | Please write an abstract with title: Cooperative multihop broadcast for wireless networks, and key words: Spread spectrum communication, Broadcasting, Wireless networks, Transmitters, Large-scale systems, Power system reliability, Decoding, Linear programming, Heuristic algorithms, Energy efficiency. Abstract: We address the minimum-energy broadcast problem under the assumption that nodes beyond the nominal range of a transmitter can collect the energy of unreliably received overheard signals. As a message is forwarded through the network, a node will have multiple opportunities to reliably receive the message by collecting energy during each retransmission. We refer to this cooperative strategy as accumulative broadcast. We seek to employ accumulative broadcast in a large scale loosely synchronized, low-power network. Therefore, we focus on distributed network layer approaches for accumulative broadcast in which loosely synchronized nodes use only local information. To further simplify the system architecture, we assume that nodes forward only reliably decoded messages. Under these assumptions, we formulate the minimum-energy accumulative broadcast problem. We present a solution employing two subproblems. First, we identify the ordering in which nodes should transmit. Second, we determine the optimum power levels for that ordering. While the second subproblem can be solved by means of linear programming, the ordering subproblem is found to be NP-complete. We devise a heuristic algorithm to find a good ordering. Simulation results show the performance of the algorithm to be close to optimum and a significant improvement over the well known BIP algorithm for constructing energy-efficient broadcast trees. We then formulate a distributed version of the accumulative broadcast algorithm that uses only local information at the nodes and has performance close to its centralized counterpart. |
7,108 | Please write an abstract with title: A Novel Method for Recognition, Localization, and Alarming to Prevent Swimmers from Drowning, and key words: Drowning, Alarming, Hydraulic Pressure Sensor, Ultrasonic Sensor, Localization, Swimming Pool.. Abstract: With the recent statistics from a growing number of fatalities due to drowning in swimming pools. Studies show that the errors resulting in drowning are mainly from a lack of focus from lifeguards and guardians, if they are present, especially within large and underlit swimming pools. In this paper, a novel method allowing precise positioning, efficient identification, and timely alarms to help rescue swimmers from drowning are proposed. The purpose of this study is to mainly focus on determining whether swimmers are drowning or not while they are in the pool. Ultrasonic transmitters and receivers are used to determine the swimmer position. Hydraulic pressure detectors are also used to determine how deep the swimmer is going. The hydraulic data is transmitted wirelessly to be processed. Hence, to confirm the efficiency of this proposed method, an acoustic simulator has been used to analyze the distance information obtained by the ultrasonic waves. The results verify that the proposed algorithm can precisely calculate the 3D position of the swimmer. Then the swimmer's movement information can be analyzed to determine whether the swimmer is drowning or not. If drowning is detected, the system will set the alarm. |
7,109 | Please write an abstract with title: Wafer bonding for the fabrication of high-performance photodetectors: a mature technology ?, and key words: Wafer bonding, Fabrication, Photodetectors, Indium gallium arsenide, Tensile stress, PIN photodiodes, Dark current, Thermal stresses, Vertical cavity surface emitting lasers, Indium phosphide. Abstract: Summary form only given. Significant progress has been achieved towards the demonstration of direct wafer bonded photodetectors. This device design approach offers the freedom to combine dissimilar materials in order to fabricate novel device structures not obtainable using standard techniques. Significant device performance advantages have been demonstrated in specific device applications using wafer bonding. The results summarized here demonstrate additional progress towards defining wafer bonding as a mature technology - a manufacturable and cost-effective process applied to APDs that portends commercial application. |
7,110 | Please write an abstract with title: Dwell time characterization of DNA translocation through ITO-SiNx nanopores, and key words: Conferences, Indium tin oxide, DNA, Logic gates, Market research, Nanoscale devices, Time measurement. Abstract: Nanopores that integrate indium-tin-oxide (ITO) electrical gates have previously demonstrated the capability of modulating the DNA folding/knotting configurations in their translocation dwell times in such devices. Four ITO-SiNx nanopore devices are fabricated with their sizes in the 8 ∼ 20 nm range. The current blockage and dwell time characterizations using these nanopores are presented for DNAs entering from both the SiNx and ITO sides of the nanopores with 0 V bias applied at the ITO gate. While the current blockage data show little dependence on nanopore sizes, dwell time appears to be shorter with smaller nanopore sizes. Interestingly, the dwell times of DNAs entering from the ITO side are observed to be shorter than those of the reverse direction, suggesting the DNA translocation process is affected by the asymmetry of the layered nanopore structures. This work proves ITO as a compatible material for DNA translocation and provides a basic research for the velocity studies of DNA translocation in gated nanopores. |
7,111 | Please write an abstract with title: On the capacity-achieving distribution of the discrete-time noncoherent and partially coherent AWGN channels, and key words: AWGN channels, Channel capacity, Additive white noise, Upper bound, Phase locked loops, Optical receivers, Sufficient conditions, Distributed computing, Tracking loops, Phase noise. Abstract: We investigate the communication limits over rapid phase-varying channels and consider the capacity of a discrete- time noncoherent additive white Gaussian noise (NCAWGN) channel under the average power constraint. We obtain necessary and sufficient conditions for the capacity-achieving input distribution and show that this distribution is discrete and possesses an infinite number of mass points. Using this characterization of the capacity-achieving distribution we compute a tight lower bound on the capacity of the channel based on examining suboptimal input distributions. In addition, we provide some easily computable lower and upper bounds on the channel capacity. Finally, we extend some of these results to the partially coherent channel, where it is assumed that a phase-locked loop (PLL) is used to track the carrier phase at the receiver, and that an ideal interleaver and de-interleaver are employed-rendering the Tikhonov distributed residual phase errors statistically independent from one symbol interval to another. |
7,112 | Please write an abstract with title: Dual-Band Dual-Circularly Polarized Antenna Array With Printed Ridge Gap Waveguide, and key words: Antenna arrays, Antennas, Dual band, Antenna feeds, Polarization, Dipole antennas, Bandwidth. Abstract: A dual-band dual-circularly polarized magneto-electric dipole antenna array for full-duplex communication systems is presented in this communication. The proposed array can simultaneously achieve left-hand circular polarization (LHCP) around 20 GHz and right-hand circular polarization (RHCP) around 30 GHz with a low-loss feed network using the printed ridge gap waveguide (PRGW). The antenna is composed of two sets of stacked interconnected short-circuit patches operating at different frequencies and fed by the same gap. The LHCP at the 20 GHz band and RHCP at the 30 GHz band are realized by exciting the corresponding orthogonal electric-dipole mode and magnetic-dipole mode with -90°/90° phase difference. A cylindrical cavity consists of a series of metalized vias with a top metal strip used for surface wave inhibition. Using the PRGW, a four-way power divider with a low transmission loss is designed. Finally, the simulated 2 ×2 array was fabricated and measured. The measurement results show that the impedance bandwidths are 18.85-20.8 and 29.5-30.9 GHz. The 3 dB axial ratio bandwidths are 19.4-20.4 and 28.5-31.4 GHz, with the peak gains of 13.2 and 11.5 dBic, respectively. |
7,113 | Please write an abstract with title: Session 10B - Embedded tutorial: hardware and software design of energy efficient sensor platforms, and key words: Hardware, Software design, Energy efficiency, National electric code. Abstract: Provides an abstract of the tutorial presentation and a brief professional biography of the presenter. The complete presentation was not made available for publication as part of the conference proceedings. |
7,114 | Please write an abstract with title: Rhythm-Dependent Multilayer Brain Network for the Detection of Driving Fatigue, and key words: Fatigue, Electroencephalography, Electrodes, Nonhomogeneous media, Informatics, Vehicles, Physiology. Abstract: Fatigue driving has attracted a great deal of attention for its huge influence on automobile accidents. Recognizing driving fatigue provides a primary but significant way for addressing this problem. In this paper, we first conduct the simulated driving experiments to acquire the EEG signals in alert and fatigue states. Then, for multi-channel EEG signals without pre-processing, a novel rhythm-dependent multilayer brain network (RDMB network) is developed and analyzed for driving fatigue detection. We find that there exists a significant difference between alert and fatigue states from the view of network science. Further, key sub-RDMB network based on closeness centrality are extracted. We calculate six network measures from the key sub-RDMB network and construct feature vectors to classify the alert and fatigue states. The results show that our method can respectively achieve the average accuracy of 95.28% (with sample length of 5 s), 90.25% (2 s), and 87.69% (1 s), significantly higher than compared methods. All these validate the effectiveness of RDMB network for reliable driving fatigue detection via EEG. |
7,115 | Please write an abstract with title: A 50 Mbps/pin 12-input/output 40 nsec Latency Wireless Connector Using a Transmission Line Coupler with Compact SERDES IC in 180 nm CMOS, and key words: Clocks, Connectors, Wireless communication, Couplers, Decoding, Synchronization, Shift registers. Abstract: We present a prototype chip that enables 12-input/12-output wireless connector with only one transmission line coupler (TLC). The chip is capable of both the transmit mode and the receive mode operations, which can be set by an external pin. In the transmit mode, it serializes 12 input signals and drives the primary side of a TLC with an integrated 2 GHz clock signal. In the receive mode, it receives the output of the secondary side of the TLC, deserializes it and outputs 12 signals. The chip is designed and fabricated in a 180 nm CMOS process. The single supply voltage of 1.8 V is used by the chip, which draws 60 mA and 73 mA in the transmit mode and receive mode, respectively. The maximum data rate per pin is 50 Mbps, namely the total maximum data rate is 600 Mbps. Manchester code is employed so that simple clock and data recovery (CDR) circuits implemented by combinational logic circuits generate a clock signal in the receive mode. No phase locked loop-type CDR is required. Compared with the conventional one, the chip achieves 78% miniaturization, 67% power reduction and 97% latency reduction. Measurement results show that a wireless connector system using the chips is operational even when the supply voltages of the primary side and the secondary side have a mismatch of +/-11%. The wireless connector is applied to an audio system with 2 streams transferred by a single multi-bit connector. The fidelity of the sound is as good as when they are connected by 2 wires. |
7,116 | Please write an abstract with title: Robust and PIM Control for Transmission Line with variable time-delay, and key words: Actuators, Power transmission lines, Simulation, Stability criteria, Fault tolerant control, Power system stability, Time-varying systems. Abstract: Transmission line as a neutral system with variable delay, that can be affected by an actuator fault is studied in this paper. The main purpose of this work is the control design which guarantee Stability and Stabilization of transmission line system based on Lyapunov criteria. After that, a Robust H∞ fault tolerant control for this type of system is developed. Then, an active fault tolerant control by using a Pseudo-Inverse Method PIM for the transmission line with actuator fault is designed. |
7,117 | Please write an abstract with title: Consensus stabilization of multi-agent system with the existence of faults in some agents, and key words: Multi-agent systems, Linear matrix inequalities, Couplings, Topology, Stability analysis, Fault tolerance, Fault tolerant systems. Abstract: In this paper, it focus on multi-agent systems with the consensus problem, which have only a little faults quot among agents. Firstly, a model is proposed that contains a time-varying uncertain matrix to elaborate the above phenomenon. A lot of fault combinations are added to agents, but the consensus analysis are set to be fault-free by simple conditions. Secondly, two kinds of consensus stabilization methods constructed deal with original subsystem whose conditions are LMI forms. In addition, some comparisons of methods are showed that when to choose a suitable one. Finally, the proposed methods are used by a numerical example to demonstrate the effectiveness. |
7,118 | Please write an abstract with title: Two-Way Sign Language Conversion for Assisting Deaf-Mutes Using Neural Network, and key words: Bridges, Convolution, Communication systems, Computational modeling, Neural networks, Employment, Buildings. Abstract: In the human-machine interactive era gesture plays an important role in communication. Building a bridge between the deaf-mute community and society seems to be vital in the fast-moving world with increasing employment opportunities. The usage of sign language has reduced the gap but studying and understanding sign language seems to be difficult for the common people. Developing an assistive device that will translate the sign language to a readable format will help the deaf-mutes to communicate with ease to the common people. The proposed system uses Convolution Neural Network (CNN) for converting sign language to speech. The CNN model gives an accuracy of 95.5%. |
7,119 | Please write an abstract with title: Development of Leftover food management system using efficient hunger search techniques, and key words: Food waste, Economics, Ethics, IEEE Sections, Conferences, Receivers, Environmental factors. Abstract: it is no secret that food waste is a big problem. While food waste presents both moral and economic dilemmas, it also creates environmental problems. Food waste has noticeable impacts on hunger and malnutrition, it also effects environment in a severe way. The current improvements to overcome food waste are mainly focused on redirecting the large-scale food leftovers but not focused on house hold food leftovers. Hence, we propose a digital application to channelize the excess food in both large scale and small scale to people in need. Using mobile application as a platform helps us reach larger section of people making it easily scalable. The users who are willing to donate food can register themselves as donors and users who are in need of help can register as receivers. This approach of combining technology and focus on house hold leftovers help us prevent unnecessary food waste. The distribution of the donations will follow the discussed Hunger search Algorithm. |
7,120 | Please write an abstract with title: Design and Development of Cyber Physical System for Real-Time Web-based Visualization and Control of Robot Arm, and key words: Manipulators, Solid modeling, Three-dimensional displays, Real-time systems, Servers, Service robots. Abstract: Since Cyber-Physical System or CPS currently takes part in industrial, there is a lot of research for developing this system. From the survey and the trend of CPS research, a human user interface for control and monitor was highlighted as Digital Twins where VR and AR are introduced to improve the visualization for easier system interpretation. This paper introduces the proposed design of real-time control web-based monitor and control of 4-DoF robotic arm system where the robotic arm represents a physical part and web-based visualization as a cyber-part. The 4-DoF robotic arm was utilized from MeArm robot and was controlled via ESP32 WROOM with Wi-Fi module in order to pursue wireless data transmission. WebSocket protocol will be exploited to connect between the physical and cyber-part where the virtual model was displayed and controlled via web-browser, the virtual model of the robot was created with 3D blender and operated with WebGL-based 3D application which can be integrated and run on web-browser without extension. The proposed design was evaluated with operational time and error between the controlled virtual model and actual physical angle, the result achieved 278.772 ms for average operational time and 0.32% in error of angle between virtual and actual. As a result, the proposed design provided two-way communication, real-time control, and monitor which can be applied in industrial applications. |
7,121 | Please write an abstract with title: A novel design of IEEE 802.15.3 MAC over UWB, and key words: Timing, Hardware, Media Access Protocol, Operating systems, Scalability, Cost function, System testing, Asia, Network interfaces, Intelligent networks. Abstract: In this paper, we introduce a novel design for the medium access control (MAC) layer of IEEE 802.15.3, which is defined for a high-rate WPAN system. We split the 802.15.3 MAC into two layers: upper layer MAC and lower layer MAC, according to the different timing requirements. Thus, our MAC implementation includes two main modules: (1) a 802.15.3 network interface card (NIC) which is responsible for only direct transmission/reception and other timing critical functions such as protocol accelerator; (2) a driver in operating system (OS) which is a flexible plug-in module and allows us to implement some non-timing-critical intelligent algorithms. The proposed approach has many advantages such as scalability, flexibility and low cost for chip vendors. |
7,122 | Please write an abstract with title: Portable Dynamometer-Based Measurement of Pelvic Floor Muscle Force, and key words: Probes, Dynamometers, Muscles, Floors, Force, Strain measurement, Training. Abstract: Objective: In attempts to improve the quality of life of women, continuous projects are sought between rehabilitation intervention and engineering. Using the knowledge of the pelvic floor muscle (PFM) physiology, assessment and training methods are developed to reduce lower urinary tract symptoms such as urinary incontinence. Therefore, this paper covers the design and implementation of a portable vaginal dynamometer. Methods: A PFM probe is designed, 3D printed, assembled, and tested in ten women to assess its acceptability and usability. The feedback from the usability study is used to optimize the PFM probe design. A vaginal dynamometer is developed based on the designed PFM probe, then tested for linearity, repeatability, hysteresis, noise and heat effect, and power consumption. The variability between the different produced PFM probe prototypes is evaluated. Results: Force measurements are made using a load cell. Wireless communication is performed through a Bluetooth low energy transceiver v5.0, with a corresponding interface on both computer and smartphone. The device operates at a 3.3V supply and achieves a power consumption of 49.5 mW in operating mode. Two PFM probe sizes are designed to accommodate different vaginal hiatus sizes, based on usability study feedback. The proposed system allows the physiotherapist to wirelessly monitor variation in pelvic floor muscle force during assessment and/or training. Discussion/Conclusion: The testing results showed that the newly designed system has the potential to measure the PFM function in functional conditions such as the standing position. |
7,123 | Please write an abstract with title: Effect of Synchronous Compensator in Leading-Phase Operation on Transient and Steady State of the Hunan Network, and key words: Reactive power, Power grids, Steady-state, Safety, Voltage control, Transient analysis, Thermal stability. Abstract: There are two synchronous compensators (SCs) with the capacity of 300 MW in Hunan network. At present, a SC is normally controlled within ± 50 Mvar and the other one operates in spare. There are rarely participates in regional voltage control. However, the problem of high voltage occurs frequently in the central Hunan during low load periods. Under the voltage safety premise of the most serious three phase fault, the SC participating in the regional voltage control method will improve the grid operating characteristics, and improve the safety and economics of the grid operation. In addition, this paper analyzes the relationship between the SC output reactive power and the number of thermal powers must on and its rotation reserve. By replacing the thermal power units and its rotation reserve which are the requirements for system stable operation, the SC in leading-phase operation can therefore improve the operation flexibility of power grid, increase the maximum transmission power of DC and the power supply capacity of Hunan power grid. |
7,124 | Please write an abstract with title: From Data to Big Data: You Must Walk Before You Can Run, and key words: Big Data, Videos, Internet of Things, Databases, Data analysis, Business, Web servers. Abstract: Big data is the revolutionary word in today's world because of its influence on several domains. This chapter discusses the basic concepts that lie behind the big data age in order to highlight the importance of working with data. It presents an overview of the big data domain without yet diving into big data analytics processes. Data are a collection of facts, such as numbers, words, measurements, observations or even just descriptions of things, which give more information about an individual, an object or an observation. Databases are the main source of data. Audio, images and videos are data types that pose specific challenges to a data scientist. The Internet of Things (IoT) contributes to double the size of the digital universe. The 3Vs model explains how big data represents the arrival of technologies that allow for a whole new approach to data. |
7,125 | Please write an abstract with title: MTSC-GE: A Novel Graph based Method for Multivariate Time Series Clustering, and key words: Deep learning, Conferences, Clustering methods, Time series analysis, Clustering algorithms, Benchmark testing, Stability analysis. Abstract: Few clustering methods show good performance on multivariate time series (MTS) data. Traditional methods rely too much on similarity measures and perform poorly on the MTS data with complex structures. This paper proposes an MTS clustering algorithm based on graph embedding called MTSC-GE to improve the performance of MTS clustering. MTSC-GE can map MTS samples to the feature representations in a low-dimensional space and then cluster them. While mining the information of the samples themselves, MTSC-GE builds the whole time series data into a graph, paying attention to the connections between samples from an overall perspective and discovering the local structural feature of MTS data. The proposed MTSC-G E consists of three stages. The first stage builds a graph using the original dataset, where each of the MTS samples is regarded as a node in the graph. The second stage uses the graph embedding technique to obtain a new representation of each node. Finally, MTSC-G E uses the K - Means algorithm to cluster based on the newly obtained representation. We compare MTSC-GE with six state-of-the-art benchmark methods on five public datasets, experimental results show that MTSC-GE has achieved good performance. |
7,126 | Please write an abstract with title: Research on the Method of Leakage Inductance Suppression of High Frequency Transformer of Switching Power, and key words: Inductance, Power supplies, Windings, Switches, Voltage, Frequency conversion, High-frequency transformers. Abstract: Switching power supply is widely used in electrical systems. Its conversion efficiency is one of the key parameters for evaluating the quality of the power supply. At present, high frequency switching power supply is highly required with possible reduced size on transformers and inductors. When the working frequency reaches 10MHz in the switching power supply, the leakage inductance of high frequency transformer is the main factor affecting the overall conversion efficiency. By analyzing the main reason and the possible damage of the leakage inductance in high frequency transformer, a novel design is proposed in the paper, in which the primary and the secondary couplings are increased by the new design of the transformer, and the influence of the leakage inductance is suppressed by the RCD(Residual Current Device) clamp circuit. The optimized design is carried out on the 5V –2A low-power switching power which is widely used. The conversion efficiency of switching power is increased from 75.8% to 85.3%, and the withstand voltage of MOSFET(Metal-Oxide-Semiconductor Field-Effect Transistor) is reduced from 640V to 500V. |
7,127 | Please write an abstract with title: Grey wolf optimizer with global search strategy, and key words: Benchmark testing, Search problems, Standards. Abstract: A grey wolf optimization algorithm with global search strategy is proposed to address the issue that the standard grey wolf optimizer (GWO) has the disadvantage of global search ability. Adaptive weight and search strategy randomly are added to strengthen the global search ability. 13 test function are used to test the performance of the proposed algorithm compared with other well-known meta-heuristics, and the results show that the proposed algorithm is feasible and effective. |
7,128 | Please write an abstract with title: Addressing the Digital Gap for the Older Persons and their caregivers in the State of Qatar: A Stakeholders' Perspective, and key words: Training, Pandemics, Ecosystems, Organizations, Information and communication technology, Stakeholders, Digital divide. Abstract: The demographics in the Arab world are expected to go through a change in the coming decades. It is projected that the older population in Qatar will increase. Access to and use of information communication technology (ICT) by older persons and their caregivers has rarely been discussed. This study exposes the perspectives of the policy-level stakeholders and non-profit organizations working with older persons regarding the access and use of ICT. Through focus groups, the study investigates existing services and identifies the challenges encountered within the ICT Ecosystem. The study also attempts to explore their personal perspectives toward the access and use of older persons and their caregivers to ICT Thematic analysis was employed to capture the main themes emerging from exchanges with the stakeholders. Five themes emerged to stress the importance of existing efforts, the effects of the COVID-19 pandemic, and the extent of technology acceptance. The findings revealed the extent of partnership between the different institutes when providing the different services, conducting raising awareness activities, and training campaigns, and supporting the technology acceptance. The paper concludes by providing recommendations for stakeholders on ways to address the digital gap. |
7,129 | Please write an abstract with title: The performance of checkpointing and replication schemes for fault tolerant mobile agent systems, and key words: Checkpointing, Fault tolerant systems, Mobile agents, Costs, Fault tolerance, Mobile computing, Computational modeling, Guidelines, Software performance, Distributed computing. Abstract: We evaluate the performance of checkpointing and replication schemes for the fault tolerant mobile agent system. For the quantitative comparison, we have implemented an experimental system on top of the Mole mobile agent system and also built a simulation system to include various failure cases. Our experiment aims to have the insight into the behavior of agents under two schemes and provide a guideline for the fault tolerant system design. The experimental results show that the checkpointing scheme shows a very stable performance; and for the replication scheme, some controllable system parameter values should be chosen carefully to achieve the desirable performance. |
7,130 | Please write an abstract with title: 60-channel dual tone multi-frequency signaling receiver based on Goertzel algorithm on single 100MIPS TMS320C54 DSP platform, and key words: Digital signal processing, Frequency, Signal processing algorithms, Detectors, Testing, Telephony, Speech, Discrete Fourier transforms, Telecommunication standards, Decoding. Abstract: Dual tone multi-frequency (DTMF) receiver based on modified Goertzel algorithm is developed. Performance of receiver is assessed under the ITU Q.24 standard specifications. The algorithm was tested with a variety of signals including speech, music, and DTMF tones. We found that this detector was efficient, reliable, and exceeded Bellcore standards |
7,131 | Please write an abstract with title: Estimating the development effort of Web projects in Chile, and key words: Information systems, Programming, Costs, Application software, Companies, Contracts, Systems engineering and theory, Uncertainty, Personnel, Usability. Abstract: We present a method to fast estimate the development effort of Web-based information systems in Chile. The method, called Chilean Web application development effort estimation (CWADEE), addresses a necessity to get effort estimations in a short period of 24 to 72 hours using limited information. In contrast with other existing methods, CWADEE uses raw historical information about development capability and high granularity information about the system to be developed, in order to carry out such estimations. This method is simple and specially suited for small or medium-size Web-based information systems. CWADEE has been applied to twenty-two projects with very accurate results. |
7,132 | Please write an abstract with title: Aspect orientation and object orientation of control application code for distributed control systems in TORERO, and key words: Control systems, Distributed control, Communication system control, Automatic control, IEC standards, Automation, Java, Functional programming, Standards development, Real time systems. Abstract: The application of distributed control systems is one of the main trends in current automation. Here, besides the programming of the control application code and its functional allocation to specific devices, an important point is the implementation of communication related code to exploit the underlying communication platform and realise the collaboration of the distributed control application code. Due to the real-timeliness and even time-criticality of control applications, the correct handling of realtime constraints has to be considered. This paper presents two approaches for integrating communication related code into distributed control application code. One integration method is based on the application of AspectJ, an extension for aspect-oriented programming with Java, and the other method is based on ordinary object orientation applying standard design patterns. This work is part of the research project TORERO, which was funded by the European Commission under the IST program |
7,133 | Please write an abstract with title: Deep learning-based mobile application for nutrient deficiency identification of rice plants using ADAM Optimizer, and key words: Deep learning, IEEE Sections, Crops, Phosphorus, Mobile applications, Nitrogen, Convolutional neural networks. Abstract: The second-largest rice-produced country after China is India. Nowadays, rice plants are affected by nutrient deficiencies. Rice plants require adequate amounts of three critical nutrients: nitrogen (N), phosphorus (P), and potassium (K). The main purpose is to detect the NPK nutrient deficiency and recommend the fertilizer for corresponding nutrient deficiency so that it can help farmers to increase their crop yield. For image classification, a deep learning model such as a Convolutional Neural Network is employed, and the model is optimized and trained using the Adam Optimizer. In the proposed model SoftMax Activation function has been used to detect nutrient deficiency with an overall accuracy of 98.75% and an android based mobile application is developed for easy usage to the farmers. |
7,134 | Please write an abstract with title: Generalized Polynomial Chaos-based Ensemble Kalman Filtering for Orbit Estimation, and key words: Uncertainty, Filtering, Low earth orbit satellites, Filtering algorithms, Extraterrestrial measurements, Particle filters, Orbits. Abstract: In this paper a novel framework is proposed to carry out state and parameter estimation of a general nonlinear stochastic dynamical system in a prediction-correction fashion. The uncertainties in the initial states and parameters are propagated using generalized polynomial chaos expansion technique to compute the predicted estimates of states and parameters. Once the measurements are available, a nonlinear estimator is developed to update the predicted estimates in ensemble filtering framework. The methodology is then applied to estimate the states and uncertain parameters of a satellite for Low Earth Orbit (LEO) navigation using Global Positioning System (GPS) measurements. The results obtained from generalized polynomial chaos expansion-based ensemble filter are compared with that obtained from the unscented Kalman filter and the particle filter in terms of accuracy and computational efficiency. |
7,135 | Please write an abstract with title: System Design and Effect Evaluation of English Online Teaching in Higher Vocational Colleges Under the Influence of the New Crown Epidemic, and key words: Epidemics, Distance learning, Pulmonary diseases, Education, Aerospace electronics, Market research, Task analysis. Abstract: Affected by the new crown pneumonia epidemic, primary and secondary schools across the country have conducted online teaching. Online class teaching guarantees students' study hours during the epidemic and helps them to better complete their learning tasks, thereby effectively ensuring the suspension of classes during the epidemic. However, in the actual work of online teaching, there will also be large and small problems. These problems will affect the quality of students' learning. They are also the content that teachers need to pay attention to, and relevant teaching design and teaching should be carried out according to the actual situation of online teaching. Arrangement of the plan. This article will analyze and discuss the problems of online teaching and the classroom design plan of online teaching. |
7,136 | Please write an abstract with title: A power IC with CMOS analog control, and key words: Power integrated circuits, Switches, Pulse width modulation, Voltage, CMOS technology, Rails, Analog circuits, CMOS analog integrated circuits, Switching circuits, Resistors. Abstract: A junction-isolated IC featuring 500V/1A DMOS transistors, controlled by 10V standard-cell CMOS analog circuits, which are on the same die, will be described. The IC functions as a 1MHz power conversion controller. |
7,137 | Please write an abstract with title: Sliding mode control applied to mobile robot: continuous-time and discrete-time cases, and key words: Sliding mode control, Mobile robots, Computer aided software engineering, Control systems, Sampling methods, Robust control, Robot control, Feedback control, Switches, Uncertainty. Abstract: In this work a sliding mode controller solution is proposed for tracking problems associated to well known types of mobile robots. The robustness property of the sliding mode controller for the continuous-time systems can thus be extended to the discrete-time systems under others conditions for existence sliding modes. Simulation results are presented to illustrate the effectiveness of the approach in two cases continuous-time and discrete-time. |
7,138 | Please write an abstract with title: 3-D knowledge structures for customer preference transition, and key words: Marketing and sales, Data mining, Energy management, Power system management, Information systems, Productivity, Automation, Information analysis, Internet, Timing. Abstract: This paper proposes a method to extract and manage customer preference information used to create My-page, which is a customer service of Internet Service Providers. To provide useful information for customers on My-page, it is essential to accurately grasp the transitions of customer preferences as well as market trends. Customer preference information has conventionally been managed with two-dimensional vectors with customer and preference category axes. In this paper, we propose a method that manages customer preference information with three-dimensional vectors with customer, preference category, and time axes, which enables us to accurately grasp the transitions of customer preferences and market trends. The information volume in three-dimensional vectors is enormous compared with that in two-dimensional vectors. The proposed method addresses this problem by storing only positions and values of the points where information changes over time. This reduces the storage for two-dimensional vectors information per unit time to less than 5% of the original volume. Some kind of knowledge dictionary is required to extract customer preference information. Our proposed method dynamically updates the knowledge dictionary to accomplish a distributed system that performs information extraction at each access point. This enables us to reduce 60% of the CPU usage on the marketing server that is used for managing customer preference information. |
7,139 | Please write an abstract with title: A real-time system for the generation and detection of electrical disturbances, and key words: Real time systems, Power quality, Power system transients, Signal resolution, Neural networks, Wavelet transforms, Harmonic distortion, Power system harmonics, Artificial intelligence, Signal analysis. Abstract: Power quality is defined as the study of the quality of electric power lines. The detection and classification of the different disturbances which cause power quality problems is a difficult task which requires a high level of engineering expertise. Thus, neural networks are usually a good choice for the detection and classification of these disturbances. This paper describes a powerful system, developed by the Electronic Technology Department at the University of Seville and the Institute for Natural Resources and Agrobiology at the Scientific Research Council (CSIC) for the generation and detection by means of neural networks of electrical disturbances. |
7,140 | Please write an abstract with title: Correction of Over-the-Air Transmit and Receive Wireless Device Performance Errors Due to Displaced Antenna Positions in the Measurement Coordinate System, and key words: Probes, Antenna measurements, Antenna radiation patterns, Position measurement, Coordinate measuring machines, Noise measurement. Abstract: Over-the-air (OTA) performance evaluation for wireless devices require electromagnetic field measurements in the far-field (FF). This is typically achieved by using one or multiple test probes to scan a sphere encompassing the device under test (DUT), which can be either set to transmit (Tx) or receive (Rx). Measurement data are usually collected in magnitude-only and near-field to FF transformations cannot be straightforwardly applied in a majority of test cases. In the case of large DUT, the active antenna in the device may not be located at the center of the measurement coordinate system, due to mechanical positioner or anechoic chamber constraints. Such an offset is known to introduce significant errors on assessed radiated quantities, which are mostly due to variations in the path length and the angular position of the apparent phase center of the Tx/Rx structure, with respect to the probe boresight direction. This article proposes a novel solution to this problem and introduces an algorithm to compensate errors from known antenna displacements within the coordinate system. This compensation applies to both OTA Tx and Rx cases. The accuracy of the identified solution is demonstrated through simulated and experimental results, using setups operating at 5G NR millimeter-wave frequencies. |
7,141 | Please write an abstract with title: Insights on Inter-metal Reliability Assessment of High Voltage Interconnects, and key words: Metals, High-voltage techniques, Voltage, Reliability engineering, Physics, Qualifications, Testing. Abstract: Reliability qualification of HV interconnects is more complicated due to the additional inter-metal impact under high voltage operation. Typically, this is less critical under nominal voltage operation. Unlike intra-metal structure, the film stack, and the bottom physical profile of the inter-metal structure are uneven. This explains the reliability response showing the dependence on metal line width and bias polarity. We show that the E-field distribution is not uniform, with the highest E-field density observed at the bottom corners of the metal line. This corresponds to the uneven bottom metal profile with sharp corners. Hence, for a complete inter-metal TDDB reliability qualification, the impacts from test structure design, process variation, and testing methodology need to be considered. |
7,142 | Please write an abstract with title: AutoInfer: Self-Driving Management for Resource-Efficient, SLO-Aware Machine=Learning Inference in GPU Clusters, and key words: Graphics processing units, Tail, Internet of Things, Adaptation models, Load modeling, Production, Reinforcement learning. Abstract: As Internet of Things (IoT) keeps growing, IoT-side intelligence services, such as intelligent personal assistant, healthcare surveillance, and smart home service, offload more and more complex machine-learning (ML) inference workloads to cloud clusters. GPUs have been widely adopted to accelerate the execution of these ML inference workloads. However, current cluster management systems guarantee low tail latency for ML inferences using resource over-provisioning and small batch sizes, resulting in a serious waste of GPU resources and increasing the service costs greatly. To mitigate poor GPU utilization, we present AutoInfer, a self-driving cluster management system for ML inference serving in GPU clusters, where users express only the latency and accuracy requirements for their workloads without needing to specify the model variant, GPU provisioning strategy, and batching mechanism. AutoInfer extends the matrix factorization model to automatically recommend model variants for each new incoming ML inference workload with respect to latency and accuracy requirements, by identifying similarities to previously scheduled workloads. During runtime, AutoInfer leverages online telemetry data and deep reinforcement learning to adaptively adjust the GPU allocation and batch size to account for load variations while minimizing the effects on tail latency service level objectives (SLOs). Testbed experiments show that AutoInfer is able to improve the average GPU utilization by up to 77% and keep the tail latency SLO violations under 5.5%. |
7,143 | Please write an abstract with title: Design of a fully integrated concurrent triple-band CMOS low noise amplifier, and key words: Low-noise amplifiers, Dual band, Radio frequency, Wireless communication, Wideband, CMOS process, Noise figure, Transceivers, Costs, Impedance. Abstract: A fully integrated concurrent triple-band low noise amplifier (LNA) is designed and presented in this paper. It has been fabricated using TSMC 0.25-/spl mu/m mixed-signal CMOS process. A two stage topology with bias-current reuse technique has been used to simultaneously achieve high gain and good matching without large amount of power consumption at all three desired band -1.8GHz, 2.45GHz and 5.25GHz. It also achieves similar good performance at these three different frequencies. We will show its post simulation results to demonstrate this good performance. The LNA exhibits input matching to 50ohm with S/sub 11/ of -10.6dB at 1.8GHz, -10.4dB at 2.45GHz and -19.9dB at 5.25GHz as well as output matching to 50ohm with S/sub 22/of -15.5dB, -12.5dB and -12.0dB, respectively. And it provides forward gain (S/sub 21/) of 10.1dB, 10.8dB and 11.8dB with noise figure of 3.72dB, 4.76dB and 6.38dB respectively while drawing 39mW from a 2.5V supply voltage. |
7,144 | Please write an abstract with title: Antenna Library for IoT Devices with Antenna Boosters, and key words: Wireless communication, Three-dimensional displays, Bandwidth, Libraries, Network synthesis, Scattering parameters, Antennas. Abstract: An antenna library is proposed in order to design an antenna system for a wireless device using a circuit-based simulator. The library comprises a set of S-parameters corresponding to a small antenna element (antenna booster) on different wireless platform representative of devices such as smart-meter or smart-watches. The library is useful to wireless engineers to analyse at the very beginning of a design project if bandwidth specifications can be achieved for a given PCB using only a circuit simulator. |
7,145 | Please write an abstract with title: Jackie Singh, and key words: Training, Leadership, Information security, Engineering profession, Industries, Computer hacking, Complexity theory. Abstract: This chapter discusses the personal and professional life of the founder of Spyglass Security “Jackie Singh.” It states that Jackie became a Linux enthusiast at age 12 and became deeply involved in the world of hacking, eventually leading her to become an information security professional. Her most recent roles have led her to serve as principal consultant at Mandiant/FireEye, as global director of incident response at Intel Security/McAfee, and as a senior manager at Accenture. |
7,146 | Please write an abstract with title: On the Least Squares Solutions of a System of Bilinear Equations, and key words: Least squares methods, Equations, Cities and towns, Sufficient conditions, Iterative methods, Convergence of numerical methods, Systems engineering and theory, Scattering, Vectors, Cost function. Abstract: The problem of finding a least squares solution for a system of bilinear equations is investigated. Suffcient conditions to have a unique minimum are given in the cases of random inputs. Three methods, the normalized iterative method, the over-parametrization method and the numerical method are presented for solving the least squares problem along with their convergence properties. Simulation examples are provided. |
7,147 | Please write an abstract with title: Developed Technique to Track Hot Spots on Flame, and key words: Charge coupled devices, Temperature distribution, Visualization, PI control, Brushless DC motors, Velocity control, Fires. Abstract: Charged-Coupled Device (CCD) Camera can be used as an optical position sensor to determine the location of the hot spot on the sensor surface in two dimensions. A CCD camera is a video camera with a coupled device (CCD), which is an integrated circuit transistor light sensor with a high quantum efficiency, minimal noise, large dynamic range, linear response, and little geometric distortion. The CCD camera is a digital camera that enables taking visual information and converting it into an image or video. CCD cameras are widely used due to their ability to take images in low light. The control system employed in this study is based on a novel and modern closed-loop algorithm that allows for precise tracking of the hotspot's location and speed used in the measurement of a specific physical process. The proposed control model is controlled around the brightest area using two controllers, the Proportional-Integral-Derivative controller (PID) and the Neuro-Fuzzy controller with feedback through the CCD sensor, as well as the use of a Brushless Direct Current (BLDC) motor for position and speed control with two feedback loops. To verify the validity of the proposed system, it was found that the algorithm will achieve a better rise time and reduce the maximum overshoot. |
7,148 | Please write an abstract with title: Continuous Streaming Multi-Talker ASR with Dual-Path Transducers, and key words: Training, Transducers, Error analysis, Conferences, Signal processing, Transformers, Data models. Abstract: Streaming recognition of multi-talker conversations has so far been evaluated only for 2-speaker single-turn sessions. In this paper, we investigate it for multi-turn meetings containing multiple speakers using the Streaming Unmixing and Recognition Transducer (SURT) model, and show that naively extending the single-turn model to this harder setting incurs a performance penalty. As a solution, we propose the dual-path (DP) modeling strategy first used for time-domain speech separation. We experiment with LSTM and Transformer based DP models, and show that they improve word error rate (WER) performance while yielding faster convergence. We also explore training strategies such as chunk width randomization and curriculum learning for these models, and demonstrate their importance through ablation studies. Finally, we evaluate our models on the LibriCSS meeting data, where they perform competitively with offline separation-based methods. |
7,149 | Please write an abstract with title: Joint demosaicing and denoising, and key words: Noise reduction, CMOS image sensors, Digital cameras, Filters, Pixel, Degradation, Image sensors, Interpolation, Least squares methods, Testing. Abstract: The output image of a digital camera is subject to a severe degradation due to noise in the image sensor. This paper proposes a novel technique to combine demosaicing and denoising procedures systematically into a single operation by exploiting their obvious similarities. We first design a filter as if we are optimally estimating a pixel value from a noisy single-color image. With additional constraints, we show that the same filter coefficients are appropriate for CFA interpolation (demosaicing) given noisy sensor data. The proposed technique can combine many existing denoising algorithms with the demosaicing operation. In this paper, a total least squares denoising method is used to demonstrate the concept. The algorithm is tested on color images with pseudo-random noise and on raw sensor data from a real CMOS digital camera that we calibrated. The experimental results confirm that the proposed method suppresses noise (CMOS image sensor noise model) while effectively interpolating the missing pixel components, demonstrating a significant improvement in image quality when compared to treating demosaicing and denoising problems independently. |
7,150 | Please write an abstract with title: An Improved Deep-Learning Model for Road Extraction from Very-High-Resolution Remote Sensing Images, and key words: Deep learning, Roads, Neural networks, Feature extraction, Decoding, Image restoration, Complexity theory. Abstract: Road extraction from remote sensing images based on deep learning has always been a hot research topic. However, due to the complexity of road conditions, many deep-learning models cannot obtain satisfactory results of road extraction. To improve the accuracy of road extraction, this paper proposes an improved deep-learning model based on the structure of Deeplabv3+. The proposed model uses four blocks with ResNeSt and ASPP to extract the feature maps, which can improve the integrity of the extracted roads. And each of the extracted low-level features is transmitted to the decoder. The decoder focuses on the effective fusion of low-level and high-level feature maps and gradually restores this information layer by layer, which can produce a more accurate result of segmentation. And because the road results extracted by neural networks often have broken road lines, this paper also proposes a data post-processing method to effectively solve this problem. The final experimental results show that the proposed model has further improvements in accuracy, mean Intersection over Union, and Fl-score compared to some other state-of-the-art(SOTA) models. |
7,151 | Please write an abstract with title: Adaptive Distributed Target Detection for FDA-MIMO Radar in Gaussian Clutter Without Training Data, and key words: Detectors, Radar detection, Synthetic aperture radar, Adaptation models, Radar imaging, Radar antennas, Object detection. Abstract: Since frequency diverse array multiple-input multiple-output (FDA-MIMO) radar possesses additional target range information for potential performance improvement, this article studies adaptive distributed targets detection for FDA-MIMO radar, where the targets are embedded in Gaussian clutter with unknown covariance matrix. The proposed FDA-MIMO radar detection model considers also the distributed targets occupying several secondary range cells, which is different from the classic detection models in multiple-input multiple-output (MIMO) and/or phase array (PA) radars that discuss only point-like targets. By exploiting the FDA-MIMO radar framework for distributed target detection, we propose the detector through a two-step generalized likelihood ratio test criteria without the need of training data and/or a priori covariance matrix. Moreover, closed-form expressions for the probability of false alarm and detection probability are derived, respectively. The proposed detector adheres to the property of a constant false alarm rate because its probability of false alarm is not restricted by the covariance matrix. The proposed method together with all theoretical analysis are verified by numerical results. |
7,152 | Please write an abstract with title: Post rotor-fault operation of a Ferrite Magnet assisted Synchronous Reluctance Motor, and key words: Reluctance motors, Ferrites, Demagnetization, Magnetic flux, Stator windings, Generators, Torque. Abstract: Ferrite magnet assisted synchronous reluctance motors are prone to demagnetization at high overload torque or electric failures (e.g. sudden short-circuits). A four-pole 11 kWprototype motor was partially irreversibly demagnetized by a three-phase sudden short-circuit test on purpose. Here, the remagnetization process of the demagnetized ferrite magnets by transient inrush currents that occur when the motor is externally driven at rated speed (1500 rpm) and suddenly connected to a sinusoidal grid (400V and 50 Hz) is investigated. Measurement results of the original prototype (I) are compared to the partial demagnetized (II) and the partial re-magnetized (III) ferrite magnet assisted synchronous reluctance motors. At rated load operation (1500 rpm, 70 Nm) the efficiency values (IE4: 93.3%) are slightly reduced from 93.6% (I) to 93.2% (II) and 93.5% (III), while the power factor values are 0.83 (II) and 0.86 (III) compared to 0.88 (I). |
7,153 | Please write an abstract with title: Wearable Devices for Monitoring Work related Musculoskeletal and Gait Disorders, and key words: Sensors, Monitoring, Biomedical monitoring, Wearable computers, Wearable sensors, Pressure sensors, Temperature sensors. Abstract: Wearable devices are gaining attention due to their capability to continuously monitor human health conditions and enable early detection of diseases. Numerous wearable devices have been developed for detecting physiological signals and monitoring of physical activities which strongly affect the quality of human life. The gait pattern of an individual strongly depends on their occupation, mood and age. Gait and posture monitoring is important for muscle assessment and motion, joint kinematics and physical examination. Such monitoring helps to prevent work related musculoskeletal disorders (WMSDs) and chronic disability in elderly people due to the gait disorders and related fall incidents. In this review, contemporary progress on the sensors developments implemented in wearable devices for monitoring WMSDs and gait disorders is summarized. |
7,154 | Please write an abstract with title: Towards Improving the Security of Cognitive Radio Networks-Based Energy Harvesting, and key words: Fading channels, Privacy, Radio transmitters, Transmitting antennas, Receivers, Radio networks, Security. Abstract: In this paper, physical-layer security (PLS) of an underlay cognitive radio network (CRN) operating over cascaded Rayleigh fading channels is examined. In this scenario, a secondary user (SU) transmitter communicates with a SU receiver through a cascaded Rayleigh fading channel while being exposed to eavesdroppers. By harvesting energy from the SU transmitter, a cooperating jammer attempts to ensure the privacy of the transmitted communications. That is, this harvested energy is utilized to generate and spread jamming signals to baffle the information interception at eavesdroppers. Additionally, two scenarios are examined depending on the manner in which eavesdroppers intercept messages; colluding and non-colluding eavesdroppers. These scenarios are compared to determine which poses the greatest risk to the network. Furthermore, the channel cascade effect on security is investigated. Distances between users and the density of non-colluding eavesdroppers are also investigated. Moreover, cooperative jamming-based energy harvesting effectiveness is demonstrated. |
7,155 | Please write an abstract with title: Impact Assessment of Installed Photovoltaic on Fuel Cell Hybrid Electric Vehicle Considering Fast Identification of Power Changes, and key words: State of charge, Batteries, Supercapacitors, Maximum power point trackers, Energy management, Photovoltaic systems. Abstract: In the installation of photovoltaic (PV) arrays on the roof of fuel cell hybrid electric vehicles (FCHEVs) and maximum power point tracking (MPPT) we should consider the photovoltaic output power under various conditions such as fast changes in the intensity of irradiation, temperature, and movement of the vehicle in various conditions. The fast identification of power changes and accurate tracking of maximum power point (MPP) is one of the most critical issues to overcome MPPT issues. The proposed MPPT algorithm should enable fast-tracking of MPP in the vehicle for all conditions such as irregular driving, sudden changes in temperature, and intensity of irradiation. In this paper, an energy management strategy and MPPT method proposed for SAMAND FCHEV with PV array. The simulation results of the proposed MPPT method and coordinated energy management indicate increasing daily driving mileage, fast-tracking MPPT, as well as fast identification capability of power changes. |
7,156 | Please write an abstract with title: A Client Tier Design for the EMULSION IoT Platform, and key words: Scalability, Mobile handsets, Software, Internet of Things, Quality of experience, Communication networks, Informatics. Abstract: This paper♠ presents an IoT client tier design and its setting within the multi-tiered architectural structure of EMULSION, the newly proposed horizontal-type IoT platform. Besides briefly outlining the key rationale for this IoT platform paradigm, design details are presented on the client and personal assistant applications proper to the client tier, which, in practice, are usually installed on the mobile devices of consumers, and which facilitate their effective use of IoT services by considering the current consumer- and environmental context so as to avail of the 'best' service instances under the ABC&S communication paradigm. |
7,157 | Please write an abstract with title: Short-term Wind Speed forecasting Based on Weighted Spatial Correlation and Improved GWO-GBRT algorithm, and key words: Training, Correlation, Uncertainty, Wind speed, Wind power generation, Predictive models, Boosting. Abstract: Energy transformation and development is a major issue that the international community urgently needs to implement, many countries develop wind power industry energetically. However, the uncertainty of wind has been a huge challenge for wind power generation. In this paper, a spatial correlation wind speed forecasting model based on weighted grey correlation analysis model and improved gradient boosting regression tree algorithm is proposed to evaluate and forecast wind resources. The coefficient of variation method was employed to obtain the weight of spatial correlation wind speed information, and the wind speed at reference points selected based on the weighted grey relational degree were input into the gradient boosting regression tree (GBRT) to build a forecasting model. In addition, the GBRT parameters were optimized by the improved grey wolf optimization (IGWO) algorithm before the model was used to perform wind speed and direction forecasting. The experimental results show that the improved forecasting algorithm has high accuracy and real-time, thus having research and practical value. |
7,158 | Please write an abstract with title: Methods for Emotional Psychotyping of Cyberspace Actors based on Their Digital Footprints, and key words: Social networking (online), Conferences, Psychology, Cyberspace, Information and communication technology. Abstract: The article proposes an original approach for emotional psychotyping of social network users (actors) based on their digital footprints. Applying the approach results in the assessment of the agentś belonging to 8 emotional classes according to the Heymans - Le Senne typology, which is the psychological basis of our research. We analyze the actorś activities in the format of text messages in cyberspace and propose methods to determine the key criteria such as emotionality, activity, and primacy or secondariness. We analyzed the data of two different groups of a popular Russian Facebook-like social network VK and determined the psychotypes of their active subscribers. We have revealed that in both groups the dominating majority of users (50-60 %) may be classified as “apathetic” and “amorphous The minor part of actors (about 30 %) determine the main activity and emotion dynamics in these communities being “nervous”, “phlegmatic”, and “sanguine”. The scientific novelty of the research lies in the originality of the methods proposed for solving a complex and currently poorly developed problem - determining the character of a person by analyzing their activities in the cyberspace. |
7,159 | Please write an abstract with title: Power Hardware-in-the-Loop based Emulation of an Open-Winding Permanent Magnet Machine, and key words: Permanent magnet machines, PI control, Emulation, Permanent magnet motors, Harmonic analysis, Inverters, Permanent magnets, Topology, Transient analysis, Testing. Abstract: Open-winding permanent magnet (PM) motors are increasingly being used in electric drive systems due to several advantages over traditional PM motors such as a wider speed range of operation, and improved fault tolerance. Novel testing techniques such as power hardware-in-the loop (PHIL) based machine emulation can be used to expedite the testing of new motor topologies such as the open-winding PM motor. This paper investigates the emulation of an open-winding PM machine. In order to control or suppress lower order harmonics resulting due to the emulated machine back-emf, current controllers are proposed in this paper. These proposed controllers, used for the driving inverter and the machine emulator, use multiple resonant controllers in combination with proportional-integral (PI) controllers to achieve control over emulated current harmonics of interest. Experimental results are presented to validate the performance of the proposed current controller and also highlight the utility of the developed machine emulator system to emulate various operating conditions of the open-winding PM machine. |
7,160 | Please write an abstract with title: Analysis and Simulation of Maximum Power Point Tracking Based on Gradient Ascent Method, and key words: Maximum power point trackers, Photovoltaic systems, Machine learning algorithms, Software packages, Software algorithms, Machine learning, Minimization. Abstract: This paper aims to implement the gradient ascent algorithm for maximum power point tracking (MPPT) in a photovoltaic (PV) system. The proposed MPPT algorithm will ensure the PV module's operation at the maximum power point by finding the optimal duty cycle that corresponds to each time step. The gradient ascent algorithm is an iterative method, and it is one of the most popular machine learning optimization algorithms. The gradient ascent is used for the first-order optimization, which means it only takes the first derivative into account when doing the parameter updates. On each iteration, the parameters have been changed in the opposite direction of the objective function gradient. Steps proportional to the positive gradient have been applied to find a local maximum of the function. This function has been implemented in a PV model to investigate the gradient ascent algorithm's applicability as an MPPT algorithm under various conditions. |
7,161 | Please write an abstract with title: Linearization of nonlinear systems about constant operating points, and key words: Nonlinear systems, Large-scale systems, Power system stability, Nonlinear dynamical systems, Asymptotic stability, Transfer functions, Differential equations, Linear systems, Regulators, Lyapunov method. Abstract: For bilinear-realizable nonlinear systems described by a Volterra series, an input-output definition of the linearized system about a constant operating point is given. This definition is then compared to the usual notion of linearization in terms of a bilinear realization of the nonlinear system. Properties of the linearized system with respect to the original nonlinear system are developed, and implications for analysis and design of nonlinear systems are discussed. |
7,162 | Please write an abstract with title: New multimodel aggressive space mapping technique for the efficient design of complex microwave circuits, and key words: Microwave theory and techniques, Microwave circuits, Costs, Robustness, Computational modeling, Parameter extraction, Process design, Testing, Filters, Die casting. Abstract: The well known aggressive space mapping technique has been widely used for the design of complex microwave circuits. Many extensions of ASM have been developed in recent times. These methods improve ASM either at the cost of increasing the number of fine model evaluations, or at the cost of decreasing the accuracy of the fine model. In this work, we present a new extension of ASM, the multimodel ASM (MASM) that uses several fine models of increasing accuracy. Following an iterative procedure, it gradually maps the coarse and the finest model, thus reducing the risk of divergence, and improving the overall efficiency and robustness of the design process, without reducing the accuracy of the results. The new MASM has been tested with the design of a six-pole H plane coupled cavities filter with rounded corners in the coupling windows due to die casting fabrication. |
7,163 | Please write an abstract with title: An Efficient Android-Based Multimodal Biometric Authentication System With Face and Voice, and key words: Biometrics (access control), Authentication, Face, Graphics processing units, Feature extraction, Cameras, Face detection. Abstract: Multimodal biometric authentication method can conquer the defects of the unimodal biometric authentication technology. In this paper, we design and develop an efficient Android-based multimodal biometric authentication system with face and voice. Considering the hardware performance restriction of the smart terminal, including the random access memory (RAM), central processing unit (CPU) and graphics processor unit (GPU), etc., which cannot efficiently accomplish the tasks of storing and quickly processing the large amount of data, a face detection method is introduced to efficiently discard the redundant background of the image and reduce the unnecessary information. Furthermore, an improved local binary pattern (LBP) coding method is presented to improve the robustness of the extracted face feature. We also improve the conventional endpoint detection technology, i.e. the voice activity detection (VAD) method, which can efficiently increase the detection accuracy of the voice mute and transition information and boost the voice matching effectiveness. To boost the authentication accuracy and effectiveness, we present an adaptive fusion strategy which organically integrates the merits of the face and voice biometrics simultaneously. The cross-validation experiments with public databases demonstrate encouraging authentication performances compared with some state-of-the-art methods. Extensive testing experiments on Android-based smart terminal show that the developed multimodal biometric authentication system achieves perfect authentication effect and can efficiently content the practical requirements. |
7,164 | Please write an abstract with title: Multidisciplinary Data Fusion for THz Ray- Tracing, and key words: Antenna measurements, Wireless communication, Wireless sensor networks, Solid modeling, Measurement units, Three-dimensional displays, Digital twin. Abstract: The human appearance can be interpreted as a disturbance, convenience or even necessity, for example, in technical applications with human-robot interaction and human-gesture detection. This implies the need for implementing a realistic human digital twin with its positions, gestures and individual movements in ray-tracing simulations. Thus, bringing harmony between simulation and measurement owing to the more realistic assumptions within the simulation environment. In this paper, the human-digital twin combo is primarily re-alized based on two rationales: Firstly, a 3D human model is generated whose individual segment movement is represented by individual trajectories. Secondly, the inertial measurement units (IMUs) are placed on the human body for capturing the human motion estimation. The data fusion between different human postures and ray-tracing is achieved using a self-written script applying the translation and rotation of joint movements to the corresponding segments of its digital twin. Investigations using terahertz (THz) ray-tracing simulations for in-room environment scenario are carried out for different human gaits and velocities at 300 GHz center frequency. Moreover, upon comparing ani-mated postures of this human model with its digital twin which executes the movements according to the measured data from the inertial sensors, the need to record human individual postures is stressed in order to simulate the interaction between humans and technical equipment whereby small changes in human movement might trigger a major impact. |
7,165 | Please write an abstract with title: Realistic rendering and animation of knitwear, and key words: Animation, Fabrics, Shape, Microstructure, Rendering (computer graphics), Solid modeling, Geometry, Light scattering. Abstract: We present a framework for knitwear modeling and rendering that accounts for characteristics that are particular to knitted fabrics. We first describe a model for animation that considers knitwear features and their effects on knitwear shape and interaction. With the computed free-form knitwear configurations, we present an efficient procedure for realistic synthesis based on the observation that a single cross section of yarn can serve as the basic primitive for modeling entire articles of knitwear. This primitive, called the lumislice, describes radiance from a yarn cross section that accounts for fine-level interactions among yarn fibers. By representing yarn as a sequence of identical but rotated cross sections, the lumislice can effectively propagate local microstructure over arbitrary stitch patterns and knitwear shapes. The lumislice accommodates varying levels of detail, allows for soft shadow generation, and capitalizes on hardware-assisted transparency blending. These modeling and rendering techniques together form a complete approach for generating realistic knitwear. |
7,166 | Please write an abstract with title: Inference and labeling of metric-induced network topologies, and key words: Labeling, Network topology, Network servers, Web server, Resource management, Bandwidth, Loss measurement, Internet, Joining processes, Jitter. Abstract: The development and deployment of distributed network-aware applications and services require the ability to compile and maintain a model of the underlying network resources with respect to one or more characteristic properties of interest. To be manageable, such models must be compact; and to be general-purpose, should enable a representation of properties along temporal, spatial, and measurement resolution dimensions. In this paper, we propose MINT - a general framework for the construction of such metric-induced models using end-to-end measurements. We present the basic theoretical underpinnings of MINT for a broad class of performance metrics, and describe PERISCOPE, a Linux embodiment of MINT constructions. We instantiate MINT and PERISCOPE for a specific metric of interest - namely, packet loss rates - and present results of simulations and Internet measurements that confirm the effectiveness and robustness of our constructions over a wide range of network conditions. |
7,167 | Please write an abstract with title: Toward an Enhanced Bengali Text Classification Using Saint and Common Form, and key words: Text categorization, Natural language processing, Writing, Machine learning, Training, Data models, Support vector machine classification. Abstract: Language processing tool has been strengthened by the measurements of text classification. Due to this concern many approaches investigate through the text documentation problem. Behalf of this conception we have focused on our bengali text written format. A long period of time bengali people are familiar with two bengali accents about saint and common form. With concern text document processing becomes easier to translate. Most well-known supervised six classifiers we have used to classify these two bengali forms of saint and common. Classifiers prediction will determine whether it is saint or common form. Collection of text documents more than 1200 mix sentences grabbed from bengali written sources. Each text needs preprocess to classify the text into a solid form of output. Before applying algorithms there has been some prerequisite ability to split the sentences, stemming, remove stop words, construct contraction. Ending with preprocess, the processed bengali text had been taken as input on machine learning classifiers that have raised very spontaneous outcomes over the accent of bengali data. Foremost output produced by NB classifier to identify the actual form about 77% on bengali text of saint and common form. Apart from that, other ML classifiers XGB, RB, DT, SVC, KNN showed nearly prediction upto 77% -64% accuracy which we have proposed in different segments of this paper. |
7,168 | Please write an abstract with title: Building self-modifying multi-agent and P2P networks using WSDL and SOAP, and key words: Simple object access protocol, Web services, Service oriented architecture, XML, Runtime, Web and internet services, Humans, Middleware, Computer architecture, Containers. Abstract: This paper explores using WSDL and SOAP as a medium for multi-agent communication, particularly focusing on agents that can incorporate new software capabilities at runtime and autonomously provide these new capabilities to the Internet as a Web service without human involvement. Such a system should serve as a good middleware for making distributed evolutionary networks that are also fully compatible with the existing Web service architecture. We demonstrate the potential of such self-modifying Web service-enabled agents by creating a small network of agents that can cooperatively work together to solve a decomposed workflow problem. |
7,169 | Please write an abstract with title: Applying an Improved DBSCAN Clustering Algorithm to Network Intrusion Detection, and key words: Shape, Conferences, Data acquisition, Clustering algorithms, Network intrusion detection, Spatial databases, Time complexity. Abstract: Density-Based Spatial Clustering of Application with Noise (DBSCAN) is a typical density clustering algorithm, which defines a cluster as the maximum set of densities connected points. It can divide regions with sufficient density of clusters, and can find clusters of any shape of the spatial database with noise. However, the data types it can deal with are limited, and the clustering quality is poor when the density of the sample set is not uniform and the clustering distance difference is large. To solve these problems, an improved DBSCAN algorithm based on K-prototypes and dissimilarity matrix is proposed to improve the quality of clustering and applied to network intrusion detection. The experimental results show that, the proposed algorithm improves the clustering quality of the KDD Cup 99 dataset for network intrusion detection. |
7,170 | Please write an abstract with title: Tribological Properties of Gold for Electric Contacts, and key words: Gold, Contacts, Lubrication, Mechanical factors, Inorganic materials, Thermal pollution, Connectors, Instruments, Control systems, Surface contamination. Abstract: The basic mechanisms of wear and lubrication of gold-based contact materials, particularly eiectrodeposits, from the point of view of separable connectors and instrument slip rings, are reviewed. Specific recommendations are made for optimizing contact finishes for practical devices. Included are a discussion of the following. 1) The categories of metal transfer and wear (such as prow formation) and of transition phenomena that control the sliding mechanism. 2) Theories that have been advanced to explain sliding behavior based On bulk and on surface properties of the contact material. 3) The dependence of contact lubrication on physical properties of the lubricant and topography of the contact. 4) The potential role of underplate in improving a gold contact materials system, including reduction in wear and friction, minimization of susceptibility to corrosion in polluted atmospheres, and elimination of degradation due to thermal diffusion of elements from the substrate through the gold. |
7,171 | Please write an abstract with title: End-to-End Learning in Optical Fiber Communications: Experimental Demonstration and Future Trends, and key words: Optical fibers, Signal processing algorithms, Probabilistic logic, Optical fiber communication, Robustness, Optical signal processing, Optimization. Abstract: Fiber-optic auto-encoders are demonstrated on an intensity modulation/direct detection testbed, outperforming state-of-the-art signal processing. Algorithms for end-to-end optimization using experimentally collected data are discussed. The end-to-end learning framework is extended for performing optimization of the symbol distribution in probabilistically-shaped coherent systems. |
7,172 | Please write an abstract with title: Comparative Investigation of Torque-ripple Suppression Control Strategies Based on Torque-sharing Function for Switched Reluctance Motor, and key words: Couplings, Tracking loops, Analytical models, Torque, Velocity control, Torque control, Switched reluctance motors. Abstract: Torque ripple is an inherent property of switched reluctance motor (SRM), which seriously affects the control performance and application of the motor. This paper proposes two torque ripple suppression control strategies based on torque-sharing function (TSF). According to the symmetry characteristics of the flux linkage and rotor position curve family, a fourth-order Fourier series is used to fit the SRM flux linkage analytical model. The coefficient of each harmonic term of the flux linkage model is a function related to current, expressed by a sixth-order polynomial. The torque analytical formula can be derived from the flux linkage model. The torque error is calculated via the identified torque model and is compensated through TSF controller in order to reduce torque ripple. The torque model can also be used to establish the torque loop to achieve accurate tracking of the TSF reference torque to reduce torque ripple. Digital simulation was conducted, followed by the implementation on a SRM test bench using a 28335DSP as the master control chip. The experimental results are consistent with the simulation results, and indicate the effectiveness of the proposed schemes. |
7,173 | Please write an abstract with title: Blockchain Layer Zero: Characterizing the Bitcoin Network through Measurements, Models, and Simulations, and key words: Privacy, Protocols, Scalability, Conferences, Computational modeling, Bitcoin, Data models. Abstract: In recent years, research has shown the networking layer’s significant influence on the scalability, security, and privacy of blockchain systems. Such large-scale networks however exhibit a degree of complexity that demands model-based simulations as real-world experiments are often not possible. In this work, we methodically characterize blockchain networks by reference to the paradigmatic Bitcoin peer-to-peer network, explore the state-of-the-art protocols, and emphasize this key design space. To this end, we conducted a longitudinal measurement study on the Bitcoin network, from which we extract a comprehensive network model and implement it as part of the bns network simulation framework. We validate the model in comparison to real-world measurements as well as to results from related work. Moreover, we experimentally show how network utilization and miners’ geographical location impact the block propagation characteristics. |
7,174 | Please write an abstract with title: An EDA-based Genetic Algorithm for EV Charging Scheduling under Surge Demand, and key words: Schedules, Processor scheduling, Urban areas, Service computing, Estimation, Scheduling, Electric vehicle charging. Abstract: With continually increased Electric Vehicles (EVs), the EVs Charging Scheduling is of great importance to managing multiple charging demands for maximizing user satisfactions and minimizing adverse influences on the grid. However, it is challenging to effectively manage EVs charging schedules when a large number of (on-the-move) EVs are planning to charge at the same time. With this concern, we focus on Charging Station (CS)-selection decision making by the global aggregator that is taken as controller to implement charging management for EVs and CSs. An Estimation of Distribution Algorithm (EDA)-based genetic algorithm is proposed to find constrained charging scheduling plans to maximize the charging efficiency, which may improve user satisfaction and alleviate impacts on the grid. Experimental results under a city scenario with realistic EVs and CSs show the advantage of our proposal, in terms of minimized queuing time and maximized charging performance at both the EV and CS sides. The code and data are available at https://github.com/EV-charging-scheduling-algorithm. |
7,175 | Please write an abstract with title: Enhancing team teaching with WebCT, and key words: Education, Packaging, Environmental management, Springs, Collaboration, Employee welfare, Educational institutions. Abstract: Team teaching has been shown to benefit both students and faculty and we have previously shown a class management package (WebCT) supports an interdisciplinary team environment. However, what happens when the team constituency changes? This paper explores our experience with this situation as we depend on WebCT to facilitate adapting to such a change, further highlighting that WebCT is an integral member of our team. |
7,176 | Please write an abstract with title: A Digital-Analog Hybrid Antenna Array with 2-bit Time-Modulator, and key words: Phased arrays, Direction-of-arrival estimation, Phase modulation, Digital-analog conversion, Transmitting antennas, Receiving antennas, Power system harmonics. Abstract: A digital-analog hybrid antenna array is proposed and verified with 2-bit time-modulators. Under different configurations, the antenna array can be set as phased array for transmitting and digital array for receiving. Its principle is as follows. For the transmitting, the 2-bit time-modulators concentrate most power to the first harmonic with equivalent single sideband (SSB) modulation. The phase differences among all the elements are controlled by added modulation sequences. For the receiving, the power of received signal is distributed to harmonics under periodic phase modulation. Then the array manifold is estimated from generated harmonics, and the direction of arrival (DOA) can be acquired by spatial spectrum estimation. The proposed structure breaks down the boundary between the analog array and digital array. Numeric simulations and experiments are provided to verify its effectiveness. |
7,177 | Please write an abstract with title: Research on transport model in real-time collaborative graphics editing system, and key words: Real time systems, Collaboration, Graphics, Protocols, Usability, Delay systems, Bandwidth, Collaborative software, Collaborative work, Testing. Abstract: Network delays can cause serious usability problems in real-time collaborative environment. Network resources such as bandwidth, etc. are still the bottleneck in real-time collaborative environment. In addition, collaborative messages in groupware system may have different requirements for network QoS and different network protocols behave distinct performances on reliability and network delay aspects. Thus, it seems unreasonable to use a single protocol to send all interaction data. We did some experiments to investigate the impact on collaborating process which produced by packet size and network QoS requirement of different message type in collaborative graphics editing environment. According to the message characteristic, all messages are divided into several different types and for each type, suitable network protocols are used for exchanging information. Some experiments are made to test the usability of this integrated transmitting model. |
7,178 | Please write an abstract with title: An Improved PSO Based Fuzzy Clustering Algorithm in WSNs, and key words: Clustering algorithms, Wireless sensor networks, Fuzzy logic, Protocols, Energy consumption, Particle swarm optimization, Energy efficiency. Abstract: In modern wireless technology, wireless sensor networks with Internet of Thing is poised to be one of the most disruptive technology over the next degrade. Clustering is a major methodology in any wireless sensor networks to minimize the consumption of energy. So overall network life span is increased. In distributed approach, sensor nodes are grouped inefficient manner to create cluster. Then cluster head is nominated in the network. The problem is that it forms hot spot and energy hole problems. The distribution of the cluster head in the network is also not properly distributed. Here we propose an improved Particle swarm optimization based fuzzy clustering algorithm (IPSOFC), to overawe the cited problem. By using improved Particle swam optimization, a new fitness function is proposed which nominated a suitable cluster head. Fuzzy c-means clustering (FCM) can overcome the energy hole and hot spot problem by choosing exclusive boundary for individual cluster head, so un-identical clustering is established. The fuzzy inputs of the FCM contain the parameters like residual energy, node density and distance to sink. In literature, the table based on the fuzzy rule is manually elaborated. So when we tune the fuzzy instructions, it will affect the attainment of the fuzzy system. The fitness function is precise to elongate the network lifespan. Simulation result is verified with its proposed algorithm with some existing algorithm. Outcome indicates that the proposed clustering algorithm is found to yield best results over other conventional algorithms. |
7,179 | Please write an abstract with title: Robust High-Resolution Video Matting with Temporal Guidance, and key words: Training, Image segmentation, Computer vision, Computational modeling, Semantics, Graphics processing units, Computer architecture. Abstract: We introduce a robust, real-time, high-resolution human video matting method that achieves new state-of-the-art performance. Our method is much lighter than previous approaches and can process 4K at 76 FPS and HD at 104 FPS on an Nvidia GTX 1080Ti GPU. Unlike most existing methods that perform video matting frame-by-frame as independent images, our method uses a recurrent architecture to exploit temporal information in videos and achieves significant improvements in temporal coherence and matting quality. Furthermore, we propose a novel training strategy that enforces our network on both matting and segmentation objectives. This significantly improves our model’s robustness. Our method does not require any auxiliary inputs such as a trimap or a pre-captured background image, so it can be widely applied to existing human matting applications. Our code is available at https://peterl1n.github.io/RobustVideoMatting/ |
7,180 | Please write an abstract with title: Designing classical offset Cassegrain or Gregorian dual-reflector antennas from combinations of prescribed geometric parameters, and key words: Strontium, Reflector antennas, Apertures, Feeds, Antennas and propagation, Communication industry, Physics, Australia, Information geometry, Clocks. Abstract: This paper proposes a simple procedure for the design of classical offset Cassegrain or Gregorian dual-reflector antennas from combinations of prescribed geometric parameters. This procedure has already been applied to classical Cassegrain and Gregorian antennas, to classical displaced-axis Cassegrain and Gregorian antennas, and to classical offset Dragonian antennas. The antenna systems can be fully characterized by 21 parameters, of which only five need to be provided by the antenna designer, as the remaining 16 parameters can be derived in closed form using the procedure described here. In this paper, we assume that the main reflector has a circular aperture, while the subreflector has an elliptical aperture All the antenna geometries presented satisfy the Mizugutch condition (1976), which is the geometric-optics condition for zero cross-polarized radiation. This procedure is very close to the one used for offset Dragonian systems, but all the relevant information is repeated here for completeness. |
7,181 | Please write an abstract with title: Mapping a Nonlinear Response to a Wave Profile, and key words: Mathematical model, Solitons, Shock waves, Optical fiber dispersion, Fitting. Abstract: We demonstrate theoretically and experimentally, for the first time to our knowledge, that the nonlinear response of a medium can be mapped directly onto a dynamical wave profile governed by a generalized nonlinear Schrödinger equation. |
7,182 | Please write an abstract with title: Modelling HEUI injector In MATLAB Simulink, and key words: Mathematical model, MATLAB, Fuels, Valves, Diesel engines, Rails, Global warming, Costs, Spraying, Combustion. Abstract: The present work describes the development and partial validation of a mathematical model of a hydraulically actuated electronically controlled unit injector (HEUI). The HEUI analyses include submodels of the solenoid, hydraulic differential valve (HDV), intensifier and injector subsystems. It has been implemented using the MATLAB/SIMULINK graphical software environment. The modeled HEUI is a compact, flexible diesel injector developed at the University of New South Wales in conjunction with local industry. The work undertaken is part of a wider study aimed at optimization of the design of the HEUI for dual-fuel systems. |
7,183 | Please write an abstract with title: Delay-Based Network Utility Maximization Modelling for Congestion Control in Named Data Networking, and key words: Bandwidth, Switches, Routing, Packet loss, Delays, Convergence, Control systems. Abstract: Content replication and name-based routing lead to a natural multi-source and multipath transmission paradigm in NDN. Due to the unique connectionless characteristic of NDN, current end-to-end multipath congestion control schemes (e.g. MPTCP) cannot be used directly on NDN. This paper proposes a Network Utility Maximization (NUM) model to formulate multi-source and multipath transmission in NDN with in-network caches. From this model, a family of receiver-driven transmission solutions can be derived, named as path-specified congestion control. The path-specified congestion control enables content consumers to separate the traffic control on each path, which consequently facilitates fair and efficient bandwidth sharing amongst all consumers. As a specific instance, a Delay-based Path-specified Congestion Control Protocol (DPCCP) is presented, which utilizes queuing delays as signals to measure and control congestion levels of different bottlenecks. In addition, a set of high-performance congestion control laws are designed to accelerate bandwidth and fairness convergence towards the optimum defined by the NUM model. Finally, DPCCP is compared with state-of-the-art solutions. The experimental evaluations show that DPCCP outperforms existing solutions in terms of bandwidth utilization, convergence time and packet loss. |
7,184 | Please write an abstract with title: Improving the QoS performance of EDCF in IEEE 802.11e wireless LANs, and key words: Wireless LAN, Local area networks, Quality of service, Delay, Jitter, Media Access Protocol, Web and internet services, Traffic control, Access protocols, Electronic mail. Abstract: The IETF is currently specifying QoS on the Internet, but providing QoS at the IP layer is sub-optimal without lower layers' support. With the growing popularity and acceptance of IEEE 802.11 wireless LANs, it is essential to focus on QoS enhancement at the MAC layer of the 802.11 standard. The EDCF, proposed by the IEEE 802.11e, is a contention-based MAC protocol supporting service differentiation through different interframe spaces, contention window limits, and persistence factors for different traffic priority classes. In this paper, we propose a retransmission scheme, known as age-dependent backoff (ADB), to alleviate the delay and jitter of real-time packets by adjusting the persistence factors dynamically based on the ages of the real-time packets in the transmission queues and the lifetimes of the real-time packets. Simulation results indicate that using ADB in EDCF is efficient with low delay, jitter and drop rate for real-time traffic in a wide range of traffic loads. |
7,185 | Please write an abstract with title: Improve Performances of a Laser Tracking System by Adopting a Modified Fuzzy Neural Network Controller, and key words: Industrial electronics, Fuzzy control, Target tracking, Neural networks, Fuzzy neural networks, Laser applications, Robots. Abstract: In this study, a modified fuzzy neural network controller (MFNNC) is proposed to improve the control performance and tracking accuracy of a controller used in a laser tracking system (LTS). In a LTS, the objective of the controller is not only to track a moving target installed on the end-effector of a robot through adjustment of joint angles and velocities of a two Degrees-Of-Freedom (DOF) tracking gimbal that is composed of two DC motors, but also to obtain the smallest tracking errors with high tracking speed. For those purposes, different control strategies, including artificial intelligence controllers, are selected and studied. Two popular controllers, fuzzy logic and neural network controllers, are discussed and analyzed. As a result, a modified fuzzy neural network controller is designed and studied to try to improve and the control performance of the LTS. The simulation study results show that a better dynamic performance can be obtained by using the proposed modified fuzzy neural network controller. |
7,186 | Please write an abstract with title: U-Net Semantic Segmentation of Digital Maps Using Google Satellite Images, and key words: Image segmentation, Satellite broadcasting, Semantics, Urban planning, Computer architecture, Feature extraction, Internet. Abstract: Satellite images contain an enormous data warehouse and give us details to the general perspective of what is happening on the earth’s surface. These images are essential for agricultural development research, urban planning, surveying and, especially for evaluating the location design of broadcast stations, the input of coverage simulation and signal quality in telecommunications. The analysis of large amounts of complex satellite imagery is challenging while the evolving semantic segmentation approaches based on convolution neural network (CNN) can assist in analyzing this amount of data. In this paper, we introduce an approach for constructing digital maps with dataset provided by Google. We utilize the efficient U-Net architecture, which is an efficient combination of EfficientNet, namely EfficientNet-B0 as the encoder to extract the geographic features with U-Net as decoder to reconstruct the detailed features map. We evaluate our models using Google satellite images which demonstrate the efficiency in terms of Dice Loss and Categorical Cross-Entropy. |
7,187 | Please write an abstract with title: SANSCrypt: A Sporadic-Authentication-Based Sequential Logic Encryption Scheme, and key words: Protocols, Reverse engineering, Authentication, Very large scale integration, Encryption, Timing, Resilience. Abstract: We propose SANSCrypt, a novel sequential logic encryption scheme to protect integrated circuits against reverse engineering. Previous sequential encryption methods focus on modifying the circuit state machine such that the correct functionality can be accessed by applying the correct key sequence only once. Considering the risk associated with one-time authentication, SANSCrypt adopts a new temporal dimension to logic encryption, by requiring the user to sporadically perform multiple authentications according to a protocol based on pseudorandom number generation. Analysis and validation results on a set of benchmark circuits show that SANSCrypt offers a substantial output corruptibility if the key sequences are applied incorrectly. Moreover, it exhibits an exponential resilience to existing attacks, including SAT-based attacks, while maintaining a reasonably low overhead. |
7,188 | Please write an abstract with title: Generating Systolic Array Accelerators With Reusable Blocks, and key words: Computer architecture, Tensile stress, Microprocessors, Hardware, Generators, Optimization. Abstract: Systolic array architecture is widely used in spatial hardware and well-suited for many tensor processing algorithms. Many systolic array architectures are implemented with high-level synthesis (HLS) design flow. However, existing HLS tools do not favor of modular and reusable design, which brings inefficiency for design iteration. In this article, we analyze the systolic array design space, and identify the common structures of different systolic dataflows. We build hardware module templates using Chisel infrastructure, which can be reused for different dataflows and computation algorithms. This remarkably improves the productivity for the development and optimization of systolic architecture. We further build a systolic array generator that transforms the tensor algorithm definition to a complete systolic hardware architecture. Experiments show that we can implement systolic array designs for different applications and dataflows with little engineering effort, and the performance throughput outperforms HLS designs. |
7,189 | Please write an abstract with title: Dynamic Quantized Leader-follower Consensus under Denial-of-Service Attacks, and key words: Quantization (signal), Multi-agent systems, Denial-of-service attack, Industries, Bandwidth, Time-frequency analysis, Stability analysis. Abstract: This paper investigates the multi-agent leader- follower consensus problem under Denial-of-Service (DoS) attacks with data rate constraints. In our analysis, we first derive a lower bound on the data rate for the leader-follower consensus problem, which can guarantee the quantizers of the leader and followers do not overflow at any time, even in the presence of DoS attacks. The main contribution of the paper is the characterization of the trade-off between the tolerable DoS attack levels for leader-follower consensus and the required data rates for the quantizers during the communication attempts among the agents. To mitigate the influence of DoS attacks, we employ dynamic quantization mechanism with scale-up and scale-down capabilities. This paper also reveals the another trade-off between the data rate for the leader state quantization and the one for the follower state quantization. This makes saving the overall communication load and maintaining the resilience possible. |
7,190 | Please write an abstract with title: Robotic Deep Rolling With Iterative Learning Motion and Force Control, and key words: Force, Service robots, Force control, Impedance, Robot sensing systems, Tracking. Abstract: Large industrial robots offer an attractive option for deep rolling in terms of cost and flexibility. These robots are typically designed for fast and precise motion, but may be commanded to perform force control by adjusting the position setpoint based on the measurements from a wrist-mounted force/torque sensor. Contact force during deep rolling may be as high as 2000 N. The force control performance is affected by robot dynamics, robot joint servo controllers, and motion-induced inertial force. In this letter, we compare three deep rolling force control strategies: position-based rolling with open-loop force control, impedance control, and gradient-based iterative learning control (ILC). Open loop force control is easy to implement but does not correct for any force deviation. Impedance control uses force feedback, but does not track well non-constant force profiles. The ILC augments the impedance control by updating the commanded motion and force profiles based on the motion and force error trajectories in the previous iteration. The update is based on the gradient of the motion and force trajectories with respect to the commanded motion and force. We show that this gradient may be generated experimentally without the need of an explicit model. This is possible because the mapping from the commanded joint motion to the actual joint motion is nearly identical for all joints in industrial robots. We have evaluated the approach on the physical testbed using an ABB robot and demonstrated the convergence of the ILC scheme. The final ILC tracking performance of a trapezoidal force profile improves by over 70% in terms of the RMS error compared with the impedance controller. |
7,191 | Please write an abstract with title: Lightning Protection Design of High-Speed Maglev System, and key words: Magnetic levitation vehicles, Low voltage, Grounding, Lightning protection, Electromagnetic compatibility, Safety, Proposals. Abstract: The high-speed maglev train would be the highest point in the maglev system under high-speed operating, which makes the train body easy to be attacked by lightning strike directly. Therefore the lightning protection system need to be emphasized to ensure the safety and reliability of the on-board low-voltage equipment. The grounding system is the crucial part in lightning protection of maglev system. Therefore, in this paper, the applicability of lightning protection standards to maglev system are discussed. The lightning protection measurements of high-speed railway are used as references to offer a proposal to lightning protection design of maglev system. The discharge path and electric structure of wheel-rail train system is compared with maglev system to illuminate the differences and similarities between the two system in lightning protection design. The requirements of maglev lightning protection system are highlighted and several lightning protection design proposals for on-board devices, cables and train body are proposed. |
7,192 | Please write an abstract with title: Digital frequency conversion technique in HDTV, and key words: Frequency conversion, HDTV, Digital modulation, Signal sampling, OFDM modulation, Clocks, TV, Field programmable gate arrays, Hardware, Bandwidth. Abstract: This paper makes a research on the fundamental principle of digital modulation and frequency conversion in broad band digital broadcasting terrestrial TV ( BDB-T) system. Different from conventional down-conversion technique, this paper proposes a new digital down-conversion model utilizing Hilbert transform and a method eliminating the A/D DC offset in this model is also proposed. The correspondent FPGA hardware though testing process in HDTV prototype proves the efficiency and good performance of the model and the new method. |
7,193 | Please write an abstract with title: Low complexity decoding algorithm of parallel concatenated LDPC code, and key words: Concatenated codes, Parity check codes, Iterative decoding, Hardware, Turbo codes, Iterative algorithms, Belief propagation, Telecommunication computing, Equations. Abstract: PCGC (parallel concatenated Gallager code) is a new class of concatenated codes based on component LDPC codes. The decoder of it uses modified BP (belief propagation) algorithm in component LDPC decoder. But this conventional decoding algorithm has high complexity and is not suitable for implementation in hardware. So in this paper we propose a new decoding algorithm of PCGC, which has good performance and low complexity. And it is feasible to be implemented in hardware. |
7,194 | Please write an abstract with title: A unified grid query service for grid resource brokers, and key words: Middleware, Distributed computing, Grid computing, Environmental management, Production facilities, Computer science, Large-scale systems, Hardware, Performance analysis, Resource management. Abstract: Resource brokers on the grid consult a number of distributed information services to select the best data source and/or computational resource based on user requirements. The consultation task increases the design complexity of Resource Brokers. This work is the first attempt to unify the distributed grid information services in one framework. The grid query service (GQS) is composed of information services layered on OGSA-DAI grid services, which are generic data access and integration services. Grid resource brokers can consult just one service, the GQS service, to obtain indexed information about grid resources. |
7,195 | Please write an abstract with title: A Multiscale Gradient-Backpropagation Optimization Framework for Deformable Convolution Based Compressed Video Enhancement, and key words: Backpropagation, Deep learning, Convolution, Conferences, Speech enhancement, Software, Acoustics. Abstract: Deep learning based compressed video quality enhancement has raised lots of interest recently. To explore the information over multiple frames, deformable convolution has been used for temporal alignment. However, in the existing methods, the deformable convolution is used in a relatively naïve way, without differing the characteristics of offset and features, and their behavior in gradient backpropagation. In this paper, a multiscale gradient-backpropagation optimization framework is proposed for the deformable convolution based compressed video quality enhancement. By analyzing the gradient backpropagation mechanism of deformable convolution, a multi-scale deformable convolution alignment structure is developed to facilitate the gradient backpropagation at all scales. Moreover, a progressive offset prediction module is developed, which decouples the offset prediction from the feature up-sampling, thus reducing the noise flow over scales. Experimental results show that the proposed method achieves the state-of-the-art performance, with 25.6% BD-rate saving compared to the HEVC reference software (HM). |
7,196 | Please write an abstract with title: Incremental Coding for Extractable Compression in the Context of Massive Random Access, and key words: Navigation, Servers, Databases, Source coding, Sensors, Streaming media. Abstract: In this paper, we study the problem of source coding with Massive Random Access (MRA). A set of correlated sources is encoded once for all and stored on a server while a large number of clients access various subsets of these sources. Due to the number of concurrent requests, the server is only able to extract a bitstream from the stored data: no re-encoding can be performed before the transmission of the data requested by the clients. First, we formally define the MRA framework and propose to model the constraints on the way subsets of sources may be accessed by a navigation graph. We introduce both storage and transmission costs to characterize the performance of MRA. We then propose an Incremental coding Based Extractable Compression (IBEC) scheme. We first show that this scheme is optimal in terms of achievable storage and transmission costs. Second, we propose a practical implementation of our IBEC scheme based on rate-compatible LDPC codes. Experimental results show that our IBEC scheme can almost reach the same transmission costs as in traditional point-to-point source coding schemes, while having a reasonable overhead in terms of storage cost. |
7,197 | Please write an abstract with title: Four-Port Cylindrical DRA based MIMO Antenna for WLAN Application, and key words: Geometry, Wireless LAN, Technological innovation, Resonant frequency, Aperture coupled antennas, Dielectric resonator antennas, Aperture antennas. Abstract: This paper presents a C-shape aperture coupled four-port cylindrical dielectric resonator (DR) based multiple input multiple output (MIMO) antenna. The proposed geometry consists of four orthogonally placed CDRAs, to achieve minimum isolation of -28dB between the ports. The size of CDRAs is chosen such that it covers the frequency range 5.09GHz – 5.93GHz for the 5.62GHz WLAN application. Two orthogonal modes and were excited in the CDRAs by incorporating a C-shaped aperture. |
7,198 | Please write an abstract with title: A Parallel Cerebrovascular Segmentation Algorithm Based on Focused Multi-Gaussians Model and Heterogeneous Markov Random Field, and key words: Gaussian distribution, Image segmentation, Particle swarm optimization, Optimization, Histograms, Markov random fields, Robustness. Abstract: A complete and detailed cerebrovascular image segmented from time-of-flight magnetic resonance angiography (TOF-MRA) data is essential for the diagnosis and therapy of the cerebrovascular diseases. In recent years, three-dimensional cerebrovascular segmentation algorithms based on statistical models have been widely used, but the existed methods always perform poorly on stenotic vessels and are not robust enough. In this paper, we propose a parallel cerebrovascular segmentation algorithm based on focused multi-Gaussians model and heterogeneous Markov random field. Specifically, we present a focused multi-Gaussians (FMG) model with local fitting region to model the vascular tissue more accurately and introduce the chaotic oscillation particle swarm optimization (CO-PSO) algorithm to improve the global optimization capability in the parameter estimation. Furthermore, we design a heterogeneous Markov Random Field (MRF) in the three-dimensional neighborhood system to incorporate precise local character of image. Finally, the algorithm has been performed parallel optimization based on GPUs and obtain about 60 times speedup compared to serial execution. The experiments show that the proposed algorithm can produce more detailed segmentation result in shorter time and performs well on the stenotic vessels robustly. |
7,199 | Please write an abstract with title: Human Robot Interaction Using Sensor Based Hand Gestures For Assisting Disable People, and key words: Robot sensing systems, Mobile robots, Wheelchairs, Time factors, Delays, Wheels. Abstract: Currently, in the world, millions of people are suffering from paralysis. They have difficulties with walking. Therefore, we have introduced a new type of robot that can help these peoples to walk. By using this robot and (hand gloves or wheelchair handle) gesture-based controller, these patients can improve their quality of leaving. The proposed robot has two parts, one is the gesture controller and, another is the Robot Wheelchair (RW). One can interact with the robotic-base wheelchair-using sensor-based hand gesture. With this human-robot interaction, a patient can quite easily control the robot and can move freely with this system we can reduce the effort to control the RW, which is very difficult for paralyzed or old persons. Our system can work with about 94% accuracy with very minimal delay. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.