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20,100 | Please write an abstract with title: Angle Separation Learning for Coherent DOA Estimation With Deep Sparse Prior, and key words: Direction-of-arrival estimation, Estimation, Training, Signal to noise ratio, Sparse matrices, Covariance matrices, Neural networks. Abstract: In this letter, we propose two angle separation learning schemes (ASLs) to address the coherent DOA estimation problem. We first show that the columns of the array covariance matrix can be formulated as under-sampled linear measurements of the spatial spectrum. Secondly, the computational load of coherent DOA estimation contains two-dimensional searching process, which is reduced through introducing angle separation. Correspondingly, two classification learning models integrating the angle separation are proposed to solve the problem of coherent DOA estimation. Compared to classic sparsity-inducing methods with complex computational interactions, the proposed ASLs can efficiently obtain DOA estimates in near real time. Moreover, the proposed ASLs improve the DOA estimation performance compared to existing deep-learning based methods. Numerical experiments prove the effectiveness and superiority of the presented ASLs. Simulation results show that the new techniques have a better performance in term of estimation errors and generalization ability than the classic physics-driven and state-of-the-art deep-learning based DOA estimation methods, especially in demanding scenarios with low SNR and limited snapshots. |
20,101 | Please write an abstract with title: Recognition of Channel Codes based on BiLSTM-CNN, and key words: Wireless communication, Deep learning, Codes, Neural networks, Feature extraction, Parity check codes, Optical fiber communication. Abstract: Channel code recognition, which aims to recognize the channel code adopted by the received signal, plays an important role in the fields of non-cooperative communications. Deep learning based channel code recognition methods have been attracting great attention due to their superiority in learning from massive signals and extracting signal features automatically. However, these methods mainly use a single type of neural network and suffer from low recognition accuracy. In this paper, we propose a channel code recognition algorithm based on two types of neural networks including bi-directional long short-term memory (BiLSTM) and convolutional neural network (CNN). According to the proposed algorithm, the received signal is firstly fed into BiLSTM and then handled by CNN, which inherits the advantages of both BiLSTM and CNN. Experimental results show that the proposed algorithm outperforms the existing TextCNN based algorithm, and the improvement of average recognition accuracy is about 4% at the low signal to noise ratio region. |
20,102 | Please write an abstract with title: Seven-Level Switched-Capacitor Based Multilevel Inverter With Lesser Number of Power Electronic Components and Reduced Voltage Stress, and key words: Switches, Multilevel inverters, Harmonic analysis, Power electronics, Topology, Through-silicon vias, Voltage control. Abstract: This paper puts forward a seven-level switched-capacitor multilevel inverter (7L-SCMLI) with boosting features. The main features of the proposed structure are the use of reduced number of switches, lesser value of total standing voltage (TSV). Results obtained by simulation and experimental setup are displayed in the paper to validate the claim. Power loss analysis is done to estimate efficiency. The information regarding harmonic analysis and efficiency comparison is conveyed through various plots. The harmonic analysis shows a THD of 12.19% in the voltage waveform. From the plot of efficiency, the maximum efficiency can be seen near to 98%. The proposed structure of multilevel inverter has been compared with other topologies of similar level on various performance parameters and stands as a good candidate for the industrial applications. |
20,103 | Please write an abstract with title: Analysis of Vibration Response of Frame Building under Tunnel Blasting Load, and key words: Vibrations, Buildings, Resonant frequency, Vibration measurement, Regulation, Safety, Frequency measurement. Abstract: In recent years, a large number of transportation facilities have been constructed in my country, and urban subway projects have gradually increased. The rise of urban subways has effectively alleviated ground traffic congestion, but at the same time it is bound to go under ground buildings. In the process of tunnel construction, it is necessary to ensure the safety of the tunnel, but also to consider the safety and use of ground buildings. In order to study the vibration response analysis of the frame structure under tunnel blasting, the Qingdao Metro Line 1 was taken as the research object, combined with the actual working conditions, and the MIDAS GTS NX finite element software was used for numerical simulation analysis, and the following conclusions were drawn: (1) Due to the frame structure The vibration velocity in the vertical direction is greater than that in the horizontal direction, so the vertical direction of the measuring point is taken as the key research object. A high-rise amplification effect has begun to appear on the 7th floor, and the protection of the middle layer and the top layer should be strengthened during blasting construction. (2) The buried depth of the tunnel is an important factor that affects the vibration response of the tunnel blasting to the frame structure building. When the buried depth of the tunnel is 20m, the vibration speed is close to the maximum range required by the “Blasting Safety Regulations”. Some parameters need to be changed appropriately to make the vibration speed suitable. When the buried depth of the tunnel is 25 m and 30 m, the influence of the buried depth of the tunnel on the vibration velocity is already small. |
20,104 | Please write an abstract with title: Overview of field programmable analog arrays as enabling technology for evolvable hardware for high reliability systems, and key words: Field programmable analog arrays, Hardware, Sensor arrays, Space technology, NASA, Laboratories, Availability, Circuits, Power system management, Aerospace electronics. Abstract: The recent commercial availability of field programmable analog arrays (FPAAs) is leading designers of high reliability space and ground support systems to consider how these devices can lead to new applications. They hold promises for analog systems that require reactive evolvability such as those that correct defective mechanical deployments. They are also suited to evolving circuits, which change with temporary or degenerative electrical conditions such as those associated with power systems during specific periods of orbit in space flight and with the effects of aging on electronic components. FPAAs are seen as a key enabler to a system in development that will enable circuit development in a hardware environment that can be programmed and tailored for a given system's electrical input/output/load environment. |
20,105 | Please write an abstract with title: Optimal Scheduling Algorithm for Distributed Streaming of Data Flow across Edge Devices and Cloud, and key words: Optimal scheduling, Cloud computing, Sensors, Edge computing, Smart cities, Task analysis, Distributed databases. Abstract: Edge computing is an emerging paradigm to assist intelligent decisions for cloud centric analytics. The major limitation of edge computing is the non-availability of a open-source platforms-as-a- service for various applications across cloud and edge. ECHO(an adaptive orchestration platform for streaming hybrid data flows across cloud and edge) attempts to fill this gap . It enables streaming data flows across distributed resources where user tasks are represented as vertices in a directed acyclic graph (DAG) and edges represent the routing channels between data and tasks. These DAGs are executed upon data arrival. ECHO's current scheduler schedules jobs using round robin algorithm. This paper proposes improvement in ECHO's scheduler. We consider current device health before scheduling dataflow in ECHO. The proposed scheduling algorithm makes use of CPU utilization and memory utilization as parameters. The experimental results show that the proposed algorithm improves the scheduler performance. |
20,106 | Please write an abstract with title: 3D Model Registration-Based Batch Wafer-ID Recognition Algorithm, and key words: Image recognition, Character recognition, Semiconductor device modeling, Three-dimensional displays, Solid modeling, Optical character recognition software, Strain. Abstract: Wafer identification (ID) is a serial number printed on the surface of wafer, which is used for indexing production process data in manufacture execution system. The automatic recognition of wafer ID is helpful to improve the level of automatic production. However, the existing equipment and methods mainly focus on single wafer-ID recognition, which require wafers to be taken out and placed on a specific platform, resulting in low efficiency. In this paper, we present a batch wafer-ID recognition method based on machine vision, including a specific designed image-acquisition system and recognition algorithms. Based on the priori information, we formulate a 3D model for the cassette and wafers to be registered with the features extracted from the image. Combined with image-processing techniques, the pose of wafers in the cassette is estimated to undistort the perspective deformation of wafer-ID characters, such that we can exploit a classic lightweight convolution neural network for character recognition. The proposed system can capture and recognize the whole image of a cassette of wafers at once, which does not need to take out the wafers from the cassette and avoids the risk of contamination. Extensive experiments were conducted to evaluate the performance of our proposed techniques by collecting the data set of wafer-ID images. The results show that our proposed 3D model-based rectification method can correct the character deformation effectively and enable the lightweight classifier to achieve high speed and high accuracy for batch wafer-ID recognition. |
20,107 | Please write an abstract with title: An Identification Method of Image-based for Output Pattern of Metamorphic Relation in Burnup Calculation Program, and key words: Technological innovation, Codes, Software algorithms, Pattern classification, Manuals, Software, Mathematical models. Abstract: It is challenging to verify the design and analysis software adequately for nuclear power areas because of the inflated cost, time-consuming benchmark problems development, and few verification examples. This situation is called the test oracle problem. Metamorphic testing cleverly combines the specific properties of physical equations and numerical algorithms with software verification. Without constructing numerical solutions or verification examples, it verifies the software by checking whether the input and output of multiple executions meet the metamorphic relations. Since metamorphic relation is the nature rules of physical models and numerical algorithms, it is not restricted to specific code implementation technology. Therefore, it is no doubt that metamorphic testing is a promising technique to alleviate the test oracle problem.Metamorphic relation is the key to metamorphic testing, which consists of input pattern and output pattern. The former can be obtained through manual analysis by industry experts, while the latter does not have a system identification method. An output pattern identification method based on the solution figure has been introduced here. Specifically, the input pattern is received by artificially analyzing the physical property of the program under test. Next, a group of test inputs has been generated according to such patterns. The calculation results are received after those inputs drive the program. Moreover, the function form of the output pattern is guided by the image of the results. Finally, metamorphic relation is constructed by input pattern and output pattern. For a demonstration of this method’s details, a nuclide burnup calculation code is employed here, namely NUIT. By investigating the resulting image of 3820 isotopes, their output pattern classification models have been established according to the burnup depth and nuclide density. It includes four categories and seventeen sub-categories. The verification of other burnup calculation codes can use these metamorphic relations directly. This technique can effectively avoid blindness and randomness in the metamorphic relation identification process. Besides, it can be used for verification in other nuclear professional fields, such as thermal-hydraulics and radiation protection. It would provide critical support for applying metamorphic testing. |
20,108 | Please write an abstract with title: Resource Allocation in Decentralized, Self-organized, Multi-agent Industrial Systems Using Deep Deterministic Policy Gradient, and key words: Measurement, Costs, Manufacturing processes, Heuristic algorithms, Estimation, Virtual environments, Reinforcement learning. Abstract: The fourth industrial revolution has changed how the manufacturing process is organized in the industrial setting. A flexible and dynamic manufacturing environment is vital to this transformation. This includes self-organized, decentralized, multi-agent industrial systems. This work introduces a novel approach for resource allocation in such systems based on current deep reinforcement learning algorithms. A virtual environment is developed in which algorithms can learn and be tested according to global performance measurements. Agents learn their true cost function by interacting with the environment, thus improving their cost estimation accuracy and precision. This, in turn, leads to an increase in the system's global performance by allowing the resources to be distributed more efficiently. When compared to existing distance-based estimation algorithms, it is shown that this approach leads to improved cost estimation accuracy. |
20,109 | Please write an abstract with title: Design of a Low-Crosstalk Sub-Wavelength-Pitch Silicon Waveguide Array for Optical Phased Array, and key words: Crosstalk, Silicon, Arrayed waveguide gratings, Phased arrays, Couplings, Optical crosstalk, Optical arrays. Abstract: In this work, a compact sub-wavelength-pitch silicon waveguide array with low crosstalk is proposed and analyzed. The crosstalk is suppressed by periodic silicon nano-blocks symmetrically arranged along the silicon strip waveguides. The silicon nano-blocks are properly designed to work in the resonant region as a high-reflection boundary so that the evanescent fields of the silicon waveguide, which directly contribute to the coupling between waveguides, can be truncated. Meanwhile, the nano-blocks periodically perturb the evanescent fields to form a weak-radiating grating, leading to a millimeter-long effective radiation length required for highly directive optical phased arrays. Simulation results show that the crosstalk between the waveguides in the proposed design is at least 10 dB lower than traditional waveguide array with identical sizes within the 1500-1590 nm bandwidth. Furthermore, the proposed design achieves an effective radiation length up to 1.47 mm, resulting in a theoretical narrow beam width of 0.052°. Combining both the low crosstalk and the long effective radiating length, our design offers a promising platform for high-performance two-dimensional scanning optical phased array with a large field of view and a narrow beam width. |
20,110 | Please write an abstract with title: A sparse H<inf>∞</inf> controller synthesis perspective on the reconfiguration of brain networks, and key words: Visualization, Laplace equations, Decentralized control, Complex networks, Stability analysis, Eigenvalues and eigenfunctions, Sparse matrices. Abstract: Complex networked systems are the norm in the modern world with the human brain being one of the most complex networks. The control of such systems is a difficult task due to the interactions among the individual elements of the system. In this paper the design of sparse feedback controllers for complex networks is considered. Specifically, an H∞ controller synthesis problem with D stability constraints is formulated and solved for networks with different topological features. This formulation allows us to examine tradeoffs between control performance, controller sparsity and speed of closed-loop response. We applied this formulation to synthetic networks and the Macaque visual cortical network, assuming Laplacian node dynamics. The results show that as the requested response becomes faster, the control performance improves, and the feedback gain matrix becomes sparser but with larger non-zero entries. This is analogous to the observation that functional brain networks during high cognitive demand adopt a more efficient but also costlier configuration. This analogy suggests a possible connection between cognitive control and closed-loop control under sparse feedback. |
20,111 | Please write an abstract with title: Negative Capacitance Double-Gate Vertical Tunnel FET with Improved Subthreshold Characteristics, and key words: Performance evaluation, TFETs, Capacitance, Hysteresis. Abstract: Negative capacitance (NC) double-gate vertical tunnel FET (DG-NCTFET) is proposed and the impacts of ferroelectric critical parameters on the device's performance have been investigated. When the capacitance matching condition is satisfied, NC effects substantially improve the electrical characteristics of TFET to achieve ultra-steep subthreshold swing and high drivability without hysteresis. |
20,112 | Please write an abstract with title: Design and Implementation of A Current Signal Isolator Based on FPGA, and key words: Temperature measurement, Resistance, Isolators, Process control, Valves, Hardware, Temperature control. Abstract: In the field of industrial measurement and control, analog signals, such as pressure, temperature, valve opening, and flow, are widely transmitted in the form of current signals. Analog signals often need to participate in a variety of control or display process loops after being converted into current signals. To ensure the stable and reliable operation of the industrial process control system, the input current signal needs to be converted and output by an isolator. However, the isolator has conversion error and the conversion errors of different channels of the isolator are generally different, so the current values of different output channels of the isolator are generally inconsistent. With the long-term operation of the industrial process control system, this numerical difference may increase gradually be unbearable. To solve this problem, this paper proposes a design scheme of the current isolator based on FPGA. In this design scheme, FPGA collects the current value of each output channel, runs the automation correction algorithm, adjusts the value of the output current dynamically, and finally makes the current value of each output channel remain consistent. The hardware implement and test of the current isolator are carried out and the test results show that this isolator implementation scheme is feasible. |
20,113 | Please write an abstract with title: Design of Omni-Directional radiation antenna by using two antennas with orthogonal polarizations, and key words: Antenna measurements, Azimuth, Prototypes, Interference, Antenna radiation patterns. Abstract: An omni-directional radiation antenna combined with two antennas with orthogonal polarizations is proposed in this paper. Different with the general "omni-directional" antennas, this proposed antenna has no obvious null both in azimuth plane and elevation plane. Two antennas are placed on the opposite sides of the platform and each antenna cover half of the space. Because the two antennas are with orthogonal polarizations, there is little interference for the two antennas, especially at the border of the two half spaces. The antennas with the platform are designed with the platform. The simulated results show that the gain is higher than -5dB for both azimuth and elevation planes. An antenna prototype was fabricated and measured. The measured radiation patterns are agreeable with the simulated ones. |
20,114 | Please write an abstract with title: Lightning Strike EMP Effect On Local Grids, and key words: Nuclear weapons, Buildings, Layout, Lightning, Immunity testing, Conductors, EMP radiation effects. Abstract: Electric fields generated by lightning strikes are analysed and compared with effects of a high altitude nuclear weapon detonation electromagnetic pulse scenarios. The decay in amplitude of electric fields generated by a intermediate level lightning strike is calculated over distance and further analysed in a full real world simulation of a severe lightning strike event within close proximity of a isolated residential grid. Factors influencing the immunity of the grid to electromagnetic pulses are simulated and discussed as well as induced voltages on conductors. |
20,115 | Please write an abstract with title: Online Learning Algorithms for Offloading Augmented Reality Requests with Uncertain Demands in MECs, and key words: Heuristic algorithms, Conferences, Education, Entertainment industry, Medical services, Immersive experience, Approximation algorithms. Abstract: Augmented Reality (AR) has various practical applications in healthcare, education, and entertainment. To provide a fully interactive and immersive experience, AR applications require extremely high responsiveness and ultra-low processing latency. Mobile edge computing (MEC) has shown great potential in meeting such stringent requirements and demands of AR applications by implementing AR requests in edge servers within the close proximity of these applications. In this paper, we investigate the problem of reward maximization for AR applications with uncertain demands in an MEC network, such that the reward of provisioning services for AR applications is maximized and the responsiveness of AR applications is enhanced, subject to both network resource capacity. We devise an exact solution for the problem if the problem size is small, otherwise we develop an efficient approximation algorithm with a provable approximation ratio for the problem. We also devise an online learning algorithm with a bounded regret for the dynamic reward maximization problem without the knowledge of the future arrivals of AR requests, by adopting the technique of Multi-Armed Bandits (MAB). We evaluate the performance of the proposed algorithms through simulations. Experimental results show that the proposed algorithms outperform existing studies by 17 % higher reward. |
20,116 | Please write an abstract with title: Potential Roles of Purkinje Fibers in Ischemia-Induced Arrhythmias, and key words: Heart, Optical fibers, Rabbits, Computational modeling, Optical recording, Optical fiber networks, Optical imaging. Abstract: The fast conduction system, in particular the His-PurkinJe-System (HPS), is a key element for coordinated electrical activation of the heart. However, it is often omitted in computational studies. We hypothesized that the inclusion of the HPS is necessary when investigating arrhythmia maintenance and termination in an ischemic heart. We used a computational model of regionally-ischemic human ventricles reconstructed from magnetic resonance imaging data, and combined this with a rule-based HPS that produced a realistic activation pattern. Simulations using a high-frequency pacing protocol showed that re-entrant waves through the ischemic region may retrogradely activate the HPS, leading to self-terminating ventricular tachycardia (VT). Simulations without the HPS maintained the ischemia-induced VT, highlighting the role of the HPS in arrhythmia termination. Optical mapping recordings from isolated Langendorf-perfused rabbit hearts during regional ischemia and ischemia-reperfusion are compatible with the conclusions from the in-silico model, showing patterns of re-entry and termination that may be generated from retrograde HPS conduction. |
20,117 | Please write an abstract with title: On the Reliability and Life Cycle Cost Analyses of Small-scale Standalone Solar Systems in Rural Areas, and key words: Analytical models, Batteries, US Department of Defense, Solar system, Reliability, State of charge, Optimization. Abstract: In this paper, a three-step optimization approach is presented in order to obtain the optimal sizing of Standalone Photovoltaic (SPV) system. The main aim is to weight the cost against the reliability of the system to make a smart design decision. The optimization approach has two objective functions to be minimized, Annual Lost Load (ALL) and Annual Life Cycle Cost (ALCC). The proposed method includes battery lifetime estimation, which is based on the active Depth of Discharge (DOD) of micro-cycles on the battery operation. The method has been applied to a remote area in Zambia. The results indicate that the introduced framework is capable of optimizing the system while satisfying the operational and economical requirements. |
20,118 | Please write an abstract with title: Evaluation of Asynchronous Wind Generator Stator Magnetic Slot Wedge and Coil Movement Using Electrical Signature Analysis, and key words: Insulation, Electric potential, Voltage measurement, Current measurement, Volume measurement, Windings, Wind power generation. Abstract: Two significant issues in wind power asynchronous generators are magnetic wedge loss and coil movement resulting in winding faults. Most of the time the failures occur unexpectedly or require borescope or visual inspections of the generator stators. In this paper we will identify how both conditions can be detected during operation through Electrical Signature Analysis. The application of the technology provides an opportunity to correct issues prior to insulation failure or to schedule generator replacement. |
20,119 | Please write an abstract with title: Implementation and bandwidth consumption evaluation of SNMP to Web services gateways, and key words: Bandwidth, Web services, Programming, Simple object access protocol, Service oriented architecture, Computer networks, Computer network management, Monitoring, Software development management, Artificial intelligence. Abstract: Web services gateways are needed to include SNMP devices into a Web services based management architecture. We propose in this paper two approaches for such gateways and evaluate these approaches in order to verify the feasibility of using Web services closer to the network devices interface. We primarily tested the bandwidth consumed by these gateways when using SOAP with HTTP, HTTPS, and a compression process. The evaluation shows that Web services gateways are especially interesting when the number of SNMP object instances retrieved is high. |
20,120 | Please write an abstract with title: Time-varying Output Formation Control Based on a Reduced-order Output-feedback Protocol, and key words: Sufficient conditions, Protocols, Laplace equations, Heuristic algorithms, Directed graphs, Numerical simulation, Formation control. Abstract: This paper investigates time-varying output formation (TVOF) of homogeneous linear multi-agent systems based on a reduced-order output-feedback protocol. Firstly, a reduced-order output-feedback protocol using relative information of neighboring agents is proposed. Under this protocol, a necessary and sufficient condition for achieving TVOF is presented. An explicit expression of the time-varying formation reference function and a feasibility condition for TVOF are derived. Then an algorithm is proposed for designing the protocol parameters. It is shown that when the dynamics of each agent is stabilizable and detectable, the multi-agent system can achieve a desired TVOF under the protocol designed by the algorithm. Compared with existing results which only consider full-order protocols, the proposed protocol has a lower order and thus has lower implementation complexity. Numerical simulation is finally presented to demonstrate the effectiveness of the proposed protocol. |
20,121 | Please write an abstract with title: TSSNet – A Deep Neural Network Model for Predicting Prokaryotic Transcription Start Sites, and key words: Deep learning, Microorganisms, Neural networks, Genomics, Object detection, Predictive models, Object recognition. Abstract: Several computational methods have been developed to perform promoter classification in prokaryotic genomes. However, those methods were mostly designed to classify promoters only under the condition that the TSS must be located at a predefined anchor position in each input sequence. Hence, this study aims at developing a new method that can classify promoters without assuming a fixed location of TSS. We draw an analogy between TSS identification and object detection, which is a well-known task in image analysis. Thus, TSSNet, a deep neural network model, is developed in this study and it can scan for the TSSs by taking windowed regions in a prokaryotic genome. The benchmark reveals that TSSNet has a recall rate higher than 80% in TSS identification when analyzing the genomic sequences. Our results suggest that an object detection model can be applied to the analysis of genomic sequences for finding the regulatory elements and key points that are important in functional genomics. |
20,122 | Please write an abstract with title: A Web-Based Network Traffic Prediction and Classification Application using Machine Learning, and key words: Performance evaluation, Neural networks, Measurement uncertainty, Telecommunication traffic, Quality of service, Machine learning, Market research. Abstract: Web browsing has become a very common and almost indispensable activity for the ever-increasing number of internet users. However, with the increase in network traffic, the Quality of Service (QoS) of users is also impacted especially during peak utilization periods. It is therefore important to predict network traffic parameters such as bandwidth, and upload and download speeds which directly impact QoS. In this paper, a network analytics application is proposed whereby a browser extension is developed to analyse network traffic and perform prediction and classification. The extension sends requests to a Node.js server which provides real-time network traffic information to users and an indication of the QoS based on the parameters such as the latency, jitter, and upload and download speeds. The application can seamlessly be integrated in a Chrome browser and results show that it can effectively provide important network traffic data and classify the application type run in the browser. |
20,123 | Please write an abstract with title: 0.8-5.2 GHz band SiGe MMIC quadrature mixer for SDR direct conversion receivers, and key words: Silicon germanium, Germanium silicon alloys, MMICs, Mixers, Frequency conversion, Receivers, Software design, BiCMOS integrated circuits, Power dividers, Heterojunction bipolar transistors. Abstract: A 0.8-5.2 GHz broad-band quadrature mixer for SDR (software designed radio) direct conversion receivers has been developed using 0.35 /spl mu/m SiGe BiCMOS process. The quadrature mixer employs a high speed static frequency divider for a 90 deg LO power divider and broad-band SiGe HBT unit mixers. High speed operation of the static frequency divider is realized by adding 2-stage emitter follower to its output section. The fabricated quadrature mixer achieves an EVM of 3.1%rms for W-CDMA signals at 0.8 GHz and an EVM of 2.1%rms for W-LAN (IEEE 802.11a) signals at 5.2 GHz, respectively. It also has constant conversion gain over the wide base-band frequency range up to 500 MHz at RF frequency of 0.8 GHz. |
20,124 | Please write an abstract with title: Saturation and Gain Characteristics of Pulse Transformers Using Various Core Materials, and key words: Pulse transformers, Transformer cores, Switches, Temperature, Ferrites, Testing, Pulse circuits, Inductance, Interpolation, Steel. Abstract: This paper describes a study made on pulse transformers using ferrite and grain oriented steel cores. Characteristics studied are the saturation characteristics at -60 deg. C, +25 deg. C, and +130 deg. C, under a wide range of excitation levels. A set of curves suitable for predicting circuit performance under specified circuit and temperature conditions as well as examples of the use of these curves concludes the paper. |
20,125 | Please write an abstract with title: Monoliths to microservices - Migration Problems and Challenges: A SMS, and key words: Companies, Computer architecture, Aging, Software, Information systems, Business. Abstract: There are currently many applications that companies have accumulated over the years to leverage the operation of their businesses, however, over the years these applications have fallen into obsolescence. Most of these applications have been built following a monolith architectural style. With today’s great technological advances and for companies to remain competitive, many of these applications need to be migrated and/or modernized to take advantage of current technologies. The process of migrating from a monolithic application to a microservice is a challenging process and there are few reported successful experiences. The objective of this paper is to contribute to the findings of problems and challenges reported in scientific literature, that companies have faced when migrating a monolithic application to a microservices architecture. |
20,126 | Please write an abstract with title: An architecture of distributed frame hierarchy for knowledge sharing and reuse in computer networks, and key words: Computer architecture, Intelligent networks, Computer networks, Knowledge representation, Buildings, Intelligent systems, Artificial intelligence, Ontologies, Production, Mathematics. Abstract: An architecture for building distributed intelligent systems is considered, based on production-frame knowledge representation with a distributed frame hierarchy, in which knowledge fragments located on different network nodes can be used cooperatively in the process of distributed or local inference. Frame knowledge representation can also serve as a common denominator when integrating the knowledge base with imperative components or relational data, because objects and component interfaces as well as relational tables can be transparently represented by frames or frame classes. |
20,127 | Please write an abstract with title: Representing Spatial Object Relations as Parametric Polar Distribution for Scene Manipulation Based on Verbal Commands, and key words: Maximum likelihood estimation, Shape, Robot kinematics, Programming, Probability distribution, Task analysis, Intelligent robots. Abstract: Understanding spatial relations is a key element for natural human-robot interaction. Especially, a robot must be able to manipulate a given scene according to a human verbal command specifying desired spatial relations between objects. To endow robots with this ability, a suitable representation of spatial relations is necessary, which should be derivable from human demonstrations. We claim that polar coordinates can capture the underlying structure of spatial relations better than Cartesian coordinates and propose a parametric probability distribution defined in polar coordinates to represent spatial relations. We consider static spatial relations such as left of, behind, and near, as well as dynamic ones such as closer to and other side of, and take into account verbal modifiers such as roughly and a lot. We show that adequate distributions can be derived for various combinations of spatial relations and modifiers in a sample-efficient way using Maximum Likelihood Estimation, evaluate the effects of modifiers on the distribution parameters, and demonstrate our representation's usefulness in a pick-and-place task on a real robot. |
20,128 | Please write an abstract with title: Generating Curated Photo Collection using Shot Type Pattern, and key words: Deep learning, Neural networks, Information and communication technology, Smart phones, Convergence. Abstract: Smartphones are broadly used to take photos frequently in our real lives. As a result, the need for organizing the photos piled up on smartphones is rapidly increasing. To solve this, curated photo collections of user-taken photos based on significant people, places, and events is widely used in recent smartphones. But mostly they generate simple sequences of photos with background music. In this paper, we propose an automatic curated photo collection generation method that utilizes shot type patterns generally used in commercial film making. Through this, the users can enjoy the photo collection organized in a professional cinematographic way. It also provides an improved experience from an aesthetic point of view. |
20,129 | Please write an abstract with title: Motion control in the support phase for a one-legged hopping robot, and key words: Motion control, Legged locomotion, Leg, Torque, Mobile robots, Springs, Design engineering, Systems engineering and theory, Trajectory, Phase estimation. Abstract: In this paper, the method of determinating the leg length and the leg angle at touchdown is proposed. With this method, the robot can track the soft-landing trajectory, considering the torque limits of the joints. Suppressing impact force in the landing phase remains as a big issue to be resolved for hopping robots. This paper applies the soft-landing trajectory which was proposed before in order to minimize impact force of landing. Regarding hopping as an extended function of walking robots, they would have rotary joints instead of prismatic joints. Considering torque limits of joints, the relationship between the tip position from the COG (center of gravity) and the COG velocity at touchdown is determined so as to track the soft-landing trajectory. In addition, the vertical velocity of the COG is estimated from the duration of the aerial phase. Consequently, even if a floor level varies, the hopping robot can select a proper landing position of the tip without getting over the torque limit at landing. Numerical results verify the proposed method. |
20,130 | Please write an abstract with title: The USV Path Planning of Dueling DQN Algorithm Based on Tree Sampling Mechanism, and key words: Training, Sea surface, Q-learning, Neural networks, Sampling methods, Path planning, Planning. Abstract: The path planning and obstacle avoidance of USV (unmanned surface vessel) has become a research hotspot in recent years. Among them, the DQN algorithm has achieved good results in the obstacle avoidance and path planning problems of unmanned surface vessel. However, the algorithm suffers from the problems that the sampling method does not make full use of the stored information and the randomness of action selection during the training process is too large and the convergence is too slow. In this paper, we propose a Dueling DQN algorithm to optimize obstacle avoidance and path planning, which based on tree sampling mechanism. The Dueling DQN algorithm will decomposes the value function Q into a state-value function (V) and a dominance function (A). Meanwhile, the absolute value of TD-error is directly used as a priority indicator for priority sampling in the sampling process. Subsequently, the network model is built and experiments are conducted on each of the four maps. As a result, the convergence steps and loss values of the proposed algorithm on the four paths are better than those of the DQN algorithm. It shows that the dueling DQN algorithm can effectively use the stored information for optimal path planning. |
20,131 | Please write an abstract with title: Enhancing Performance of Lazy Learner by Means of Binary Particle Swarm Optimization, and key words: Training, Heart, Dimensionality reduction, Technological innovation, Learning (artificial intelligence), Data mining, Particle swarm optimization. Abstract: Machine Learning is the area of Artificial Intelligence that deals with develop techniques capable of learning, that is, automatically extract knowledge underlying information. Together with statistics, it constitutes the heart of the intelligent analysis of the data. The principles followed in machine learning and in the mining of data are the same: the machine generates a model from examples and use it to solve the problem. This paper elaborates the hybrid technique K nearest neighbor-Principal Component Analysis (KNN-PCA) for classification on different data base by UCI, further this paper proposes a Binary Particle Swarm Optimization (BPSO) based attribute selection algorithm with objective of higher accuracy and lower training overhead. The experimental set up has been developed with UCI dataset using KNN lazy learner. The accuracy, precision, recall and F-score has been calculated as an evaluation parameter and result compared with BPSO optimized structure, the proposed structure claims higher accuracy the traditional approach. |
20,132 | Please write an abstract with title: Hand Grip Strength Estimation for Sarcopenia Diagnosis by Finger Tracking, and key words: Webcams, Conferences, Estimation, Dynamometers, Rubber, Diseases. Abstract: Human hand grip strength can be measured objectively with hand grip dynamometers and the data is used in various fields. Typically, it is used for public service exams and the diagnosis of sarcopenia that has been recently recognized as a disease and has been given a ‘disease code’. The hand grip dynamometers are expensive, and because it is difficult for individuals to measure and use hand grips, we propose a new method to measure hand grip strength by obtaining joint angles of fingers from finger tracking. With rubber balls and webcams, we can easily measure grip strength for sarcopenia diagnosis. Using camera-based hand grip strength estimation, we can develop a mobile device-based sarcopenia diagnosis. |
20,133 | Please write an abstract with title: Non-physical pseudo-wave-based modal decoupling technique of multi-coupled coplanar transmission lines with homogeneous dielectric media, and key words: Couplings, Coplanar transmission lines, Dielectrics, Integrated circuit interconnections, Distributed parameter circuits, Modal analysis, Propagation losses, Transmission line matrix methods, Nonhomogeneous media, Transmission lines. Abstract: A modal decoupling technique which effectively decouples multi-coupled transmission lines surrounded with a homogeneous media is presented. For this technique, so-called, a pseudo-modal wave concept is introduced. Unlike the conventional modal decoupling technique which is applied only for [L][C] /spl ne/ /spl mu//spl epsiv/[I] (i.e., inhomogeneous media), the technique can be applied for any transmission line system regardless of its dielectric media. It is shown that the signal transients of today's integrated circuit interconnects which are [L][C] = /spl mu//spl epsiv/[I] (i.e., homogeneous media) can be very accurately as well as efficiently characterized with the proposed technique. |
20,134 | Please write an abstract with title: Increased security level using space-division approach in wireless computing network, and key words: Intelligent networks, Communication system security, Computer networks, Directional antennas, Wireless networks, Wireless LAN, Equations, Computer vision, Information security, Antennas and propagation. Abstract: This paper presents a new space-division approach for solving the security problems in infrastructured wireless network and ad-hoc wireless network using smart directional antennas. The security level definition according to this approach in WLAN is also proposed, the corresponding experiments in a typical office environment is obtained to evaluate its practicability. |
20,135 | Please write an abstract with title: Ternary Echo Hiding in Audio Files, and key words: Watermarking, IIR filters, Standards, Signal to noise ratio, Cepstrum, Filtering, Containers. Abstract: We propose a new family of echo hiding procedures for working with ternary watermarked audio files. Most attention is paid to the case when the image is used as a watermark. The possibility of using a melody for this purpose is also mentioned. A human is supposed to be a detector to check for a watermark in an audio file. The approach employs infinite impulse response (IIR) filters of a particular form that allow multiple symbols to be inserted into the container's fragment. The suggested method surpasses the classical implementation of echo hiding parameters regarding the method's payload and resistance to various attacks. |
20,136 | Please write an abstract with title: Control of heterogenous AMHS in semiconductor industry under consideration of dynamic transport carrier transfers, and key words: Materials handling, Tools, Dynamic scheduling, Throughput, Real-time systems, Production facilities, Resource management. Abstract: Wafer transport by Automated Material Handling Systems is essential in modern semiconductor front-end factories to efficiently supply the manufacturing tools. Most common are ceiling mounted Overhead Hoist Transport Systems that allow high throughput and fast delivery times. These systems are increasingly supplemented by various types of Automated Guided Vehicle Systems that enable high flexibility. This development requires new approaches for transport system dispatching.We denote such Automated Material Handling Systems that combine several types of transport systems as heterogeneous. Here, vehicles with different characteristics can execute either a complete or a part of a transport order. Until now, this task allocation process for the vehicles is executed based on predefined rules. A dynamic exchange between the transport systems based on the current system state is not yet considered.This paper presents a formalization of the related planning problem by a mathematical model for transport system scheduling. The approach is not suitable for real-time decision making. However, on the one hand, it may help to identify and evaluate the solution quality of heuristic approaches. On the other hand, it allows the evaluation of the effect of transfers. |
20,137 | Please write an abstract with title: Collaborative Optimization Strategy for Multi-period Planning and Scheduling with Data-driven Yield Model, and key words: Production, Job shop scheduling, Raw materials, Optimization, Planning, Dynamic scheduling, Data models. Abstract: The planning and scheduling of production determine the economic benefits of enterprise greatly. In this paper, an integration strategy of multi-period collaborative optimization for production planning and scheduling based on data-driven yield model is proposed. Both expert knowledge and historical production data are used to build the yield model of unit. Considering the purchase plan of raw material, inventory of current raw material, sales price of product and equipment production, the multi-period planning and scheduling collaborative optimization strategy (MPSCOS) is established dynamically. The plan and industry production scheme of raw material processing can quickly be obtained by MPSCOS, which helps gain maximum benefit under the condition of safe production. The application effect of MPSCOS is introduced by a practical case. It shows that the model based on dynamic production process can effectively improve the maintainability; the yield model based on data-driven is more accurate than the traditional yield model, as well as the model updating is convenient; the collaborative model of planning and scheduling can effectively connect the planning with scheduling, and further improve the business efficiency of enterprises. |
20,138 | Please write an abstract with title: A way for regulating branch tip fusion behavior based on Turing mechanism, and key words: Inhibitors, Conferences, Biomimetics, Biological system modeling, Self-organizing networks, Regulation, Organisms. Abstract: Meshwork pattern is one of the most important patterns in organisms, such as alveolar microvascular network which is significant for nutrient transmission and gas exchange. Our previous work has shown that the fusion behavior of branch tips facilitates the generation of meshwork pattern, and revealed the Turing mechanism of branch tip fusion behavior according to Turing reaction diffusion theory. Here, based on the Turing mechanism of branch tip fusion behavior, we explored the relationship between the key model parameters and the Turing wavelength of branch tip fusion behavior. Then we established a way to regulate the branching fusion behavior by adjusting the Turing wavelength through key model parameters. We believe that this work will contribute to the in-depth understanding of the morphogenesis of meshwork pattern. |
20,139 | Please write an abstract with title: Assistance for Quadriplegic with BCI Enabled Wheelchair and IoT, and key words: Wheelchairs, Pins, Sensors, Electroencephalography, Bluetooth, Servomotors, Virtual assistants. Abstract: The state of paralysis of the body from the shoulder down is Quadriplegia. As a result of damage or injury to the spinal cord, this state of paralysis occurs, which delays the signals from the motor neurons from being transmitted to various body parts. Without the help of a life aid, elderly and quadriplegic individuals find it difficult to perform regular duties and tasks. This paper introduces the concept of a wheelchair with a stretcher and an automated home driven by Brainwave. To coordinate the movement of the wheelchair along with its Wheelchair-Stretcher transition and the Automated Home, it utilizes a Brain-Computer Interface (BCI). The Brain-Computer Interface (BCI) is a modern technology that allows electroencephalography (EEG) to exclusively record brain waves so that they can be measured and analyzed by a computer. The Neurosky Mind wave Mobile headset is the BCI tool used for the execution of brainwave processing. Here the signal occurs due to the blinking of the eye and signals from the brain to trigger and control the movement of the wheelchair and appliances at home. Inside the machine, a joystick is often developed to control the device manually by the patient's caretaker. This system is designed and built to assist quadriplegic people to perform some of their everyday activities on their own and to create a sense of independence and trust in them. |
20,140 | Please write an abstract with title: Classification of Testable and Valuable User Stories by using Supervised Machine Learning Classifiers, and key words: Measurement, Industries, Conferences, Machine learning, Software, Software reliability, Requirements engineering. Abstract: Agile is one of the most widely used software development methodologies that include user stories, the smallest units semi-structured specifications to capture the requirements from a user's point of view. Despite being popular, only a little research has been done to automate the quality checking/analysis of a user story before assigning it to a sprint. In this study, we have chosen two metrics, i.e., Testable and Valuable criteria from INVEST checklist, and have applied supervised machine learning classifiers to automatically classify them. Since the industrial data collected for the research was unbalanced, we also applied data balancing techniques such as SMOTE, RUS, ROS, and Back translation (BT) to verify if they improved any classification metrics. Although we did not see any significant improvements in accuracy and precision for the classifiers after applying data balancing techniques, we noticed a significant improvement in recall values across all the classifiers. Our research provides some promising insights into how this research could be used in the software industry to automate the analysis of user stories and improve the quality of software produced. |
20,141 | Please write an abstract with title: Geometric phases and quantum operations in two-level atomic systems, and key words: Quantum computing, Atom optics, Atomic measurements, Wave functions, Geometrical optics, Phase measurement, Solids, Hilbert space, Robustness, Hardware. Abstract: Geometric phases of optically driven atomic wave functions were measured using photon echo technique in a two-level atomic system. Geometric manipulations of the atomic quantum states will be discussed in the context of quantum computing |
20,142 | Please write an abstract with title: The physical meaning of the Sobolev norm in error estimation, and key words: Error analysis, Electromagnetic scattering, Moment methods, Surface waves, Energy measurement, Frequency estimation, Electromagnetic wave polarization, Computer errors, Engine cylinders, Computational electromagnetics. Abstract: Error estimates for the moment method have been obtained in terms of Sobolev norms of the current solution. Motivated by the historical relationship of Sobolev norms to measures of energy, we conjecture that the Sobolev norm is equivalent to a norm induced by the forward scattering amplitude, and prove this for the case of TM-polarized fields incident on a PEC circular cylinder. |
20,143 | Please write an abstract with title: An EM-Circuit Co-simulation Model to Predict Insertion Loss in a Busbar-PCB type EMI Filter, and key words: Impedance measurement, Computational modeling, Electromagnetic interference, Insertion loss, Predictive models, Loss measurement, Data models. Abstract: Recently, a busbar-PCB structure for the installation of EMI filter has been used widely, especially in the automotive industry, which accommodates large current for driving electric motors. In this paper, an EM-circuit co-simulation model is proposed to efficiently estimate the insertion loss in a busbar-PCB type EMI filter. The developed co-simulation model was applied to a prototype busbar-PCB filter, and the predicted data proved to coincide very good to the measured insertion loss in common mode and differential mode up to 100 MHz, which confirms the validness of the proposed method. |
20,144 | Please write an abstract with title: Detection of Chest Deviation During Breathing Using a Depth Camera, and key words: Instruments, Current measurement, Video sequences, Clothing, Cameras, Data processing, Recording. Abstract: Methods of non-contact assessment of the functional state of a person are a prominent area of development in the field of medical instrumentation. In this study, we tested the usage of depth cameras to assess the respiratory rate and chest deviation. The possibility of application of singular value decomposition was showed for data processing of depth video sequences. |
20,145 | Please write an abstract with title: Application of Smart UAV technology in substatior inspection through association set decomposition algorithm model, and key words: Substations, Conferences, Process control, Inspection, Data collection, Data models, Power grids. Abstract: Aiming at the personal and equipment safety problems that are easy to occur in the process of substation patrol inspection, a substation patrol inspection method based on UAV technology is proposed. This method collects the substation operation data information by setting the STM32 controller of embedded technology, and uses the arm32-bit Cortex-M3 CPU processor to improve the technical monitoring level of UAV. The evaluation of data collection information is realized through the improved association set decomposition algorithm model. This study improves the inspection ability of substation and lays a technical foundation for the next technical research. |
20,146 | Please write an abstract with title: Malnutrition Detection using Convolutional Neural Network, and key words: Training, Deep learning, Pediatrics, Instruments, Transfer learning, Medical services, Manuals. Abstract: Malnutrition is directly or indirectly responsible for the deaths of children younger than 5 years in many countries. Identification of malnourished children will help to prevent the risk of death and can reduce physical and health issues by taking necessary measures or treatment. The proposed system uses a Convolutional Neural Network (CNN), a Deep Learning algorithm that takes input, analyzes the images, and differentiates one from the other. The architecture we used here is AlexNet for the training process and Transfer Learning. The system takes the image of a child as the input and classifies the image into a malnourished or normal child by comparing the image with the trained model. The objective of the system is to detect malnutrition in children that can help people and healthcare providers to reduce the effects caused by malnutrition by automation implementation instead of a manual process. |
20,147 | Please write an abstract with title: Structure-Properties relationships in LiNbO/sub 3/-based multilayered ferroelectric structures, and key words: Ferroelectric materials, Sputtering, Polarization, Indium tin oxide, Substrates, Thin film devices, Radio frequency, Random access memory, Crystallization, Superlattices. Abstract: We report the growth of LiNbO/sub 3/ thin films onto In/sub 2/O/sub 3/:Sn-coated <111>-Si substrates by standard radio-frequency sputtering. Multi-layer procedures, up to 4 successive deposits, have been developed that can subsequently improve the structural and macroscopic ferroelectric properties of such as-grown composite structures. The enhancement of polarization, as high as 40 C.cm/sup -2/ in 4-stacked layers, is attributed to c-oriented seed-layer-induced crystallization (self-polarization) and interfacial (migratory) polarization. |
20,148 | Please write an abstract with title: Flexible Organic Electrolyte Gated FET Biosensor with Integrated Soft Fluidics for Cortisol Monitoring in Oral Samples, and key words: Temperature sensors, Field effect transistors, Voltage, Logic gates, Electrolytes, Biosensors, Time factors. Abstract: Electrolyte Gated Field Effect Transistor (EGFET) devices are ideal biosensor platforms as they require small sample volumes, can directly transduce biomolecule quantities to electrical signals, and have a fast sensor response time, making them a desirable candidate for future integration into a Point of Care (PoC) device. However, the lack of emphasis on EGFET device integration with fluidic sample handling has led to very few architectures that are PoC viable in their present states. In response, we have created the first flexible, organic, electrolyte gated FET (OEGFET) cortisol sensor, with integrated soft fluidic microchannels. Our OEGFET demonstrates excellent cortisol sensing properties, with improved longevity, electrical characteristics, and detection range over previously published OEGFET devices. The device demonstrates robustness to repeated testing and preserved bioactivity over a period of 15 days. The nominal operating voltage is up to 5V, 4x lower than the previously reported device. The broad cortisol sensitivity range of 27.6µM - 2.76pM comprehensively covers the physiological concentration range of cortisol in saliva, with a detection limit 10x lower than our previous device. The integrated device is low temperature and low-cost fabricated onto flexible polymer substrates, tailored as the first such PoC compatible EGFET oral biosensor reported. |
20,149 | Please write an abstract with title: Characterizing Input-sensitivity in Tightly-Coupled Collaborative Graph Algorithms, and key words: Training, Measurement, Machine learning algorithms, Transfer learning, Neural networks, Collaboration, Clustering algorithms. Abstract: This paper conducts a study of input-sensitivity in collaborative graph algorithms for CPU-GPU systems with support for Unified Memory. The study, conducted on an extensive set of real-world graphs from the Koblenz Network, identifies three main sources of performance inefficiencies that are influenced by characteristics of the input graph. We develop autotuning methods to specifically address these inefficiencies. We then explore machine learning approaches to characterize the relationship between input graph properties, performance, and optimization parameters. In applying our learned models to a test dataset of 70 real-world graphs on the problems of breadth-first search (BFS) and single-source shortest path (SSSP), we are able to attain 96.33% of the peak performance on BFS, and 99.40% on SSSP when using the top-3 predictions of a neural network. We also attain 95.63% of the peak performance on BFS when using three decision trees trained on different categories of graphs. The performance of the learned models is superior to selecting the most frequent optimal configuration, indicating that the machine learning models were able to successfully correlate our selected configuration parameters with graph attributes. |
20,150 | Please write an abstract with title: ESD Protection Diodes in Sub-5nm Gate-All-Around Nanosheet Technologies, and key words: Gallium arsenide, Logic gates, Electrostatic discharges, Silicon, Epitaxial growth, Transistors, Junctions. Abstract: A Gate-All-Around (GAA) nanosheet (NS) transistor is a candidate for sub-5nm bulk Si CMOS. The impact of the new architecture and relevant process options on intrinsic ESD performance needs to be studied. The first measured results show GAA NS ESD diode performance is strongly influenced by dual epitaxy process options. |
20,151 | Please write an abstract with title: Dynamic permeability of ferromagnetic thin films with stripe domain structure, and key words: Permeability, Transistors. Abstract: Summary form only given. A relationship constraining the static permeability and resonance frequency of thin ferromagnetic films has been established recently. This relationship is great importance in view of the problem of developing the materials possessing high permeability at microwaves. But the relationship is of limited applicability, being derived for a single domain film with uniaxial inplane anisotropy only. This paper deals with more practical occasion, where the effect of the stripe domain structure and of out-of-plane magnetic anisotropy on the dynamic permeability of a ferromagnetic thin film. |
20,152 | Please write an abstract with title: Determining the Effects of Earthquakes Through Comments on Social Forums, and key words: Earthquakes, Social networking (online), Blogs, Sociology, Media, Seismic measurements, Data analysis. Abstract: The natural phenomena of the earth have always take to people's attention. People may have to change the flow of the day because of these unexpected events that are outside of the daily routine. Internet users regularly share their opinions and comments on daily events on the Internet. Along with social networks, forum sites such as Reddit have also been the leading areas where users share their comments. Turkey has very active seismic zone. Ever year dozens of earth active seen in Turkey. There are an average of 3 medium-sized earthquakes each year caused by these faults. In this study correlation between the reactions of internet users to earthquakes was investigated and found important reasons likes media effects. Thus, it has been tried to find the relationship between the effects of the earthquake on people and the actual scale beside the earthquake zone. |
20,153 | Please write an abstract with title: Wideband DOA estimation based on quantum coot optimization algorithm under impulsive noise, and key words: DOA of wideband signals, impulse noise, composite entropy, QCOA. Abstract: To deal with the direction of arrival (DOA) estimation of wideband signals under impulse noise, this paper proposes a weighted signal subspace fitting estimation method based on focusing composite entropy, and designs a continuous quantum coot search mechanism to efficiently solve the wideband direction-finding equation. These simulation experimental results show that the quantum coot optimization algorithm (QCOA) has a good suppression effect on pulse noise and has excellent decoherence ability. At the same time, it has significant improvement in estimation performance compared to other existing algorithms. |
20,154 | Please write an abstract with title: Itanium 2 processor 6M: higher frequency and larger L3 cache, and key words: Frequency, Power dissipation, Protection, Registers, Error correction codes, Thermal management, Workstations, Copper, Dielectrics, Computer aided instruction. Abstract: The third-generation Itanium processor targets the high-performance server and workstation market. To do so, the design team sought to provide higher performance through increased frequency and a larger L3 cache. At the same time, we had to limit the power dissipation to fit into the existing platform envelope. These considerations led to what we now call the Itanium 2 processor 6M: the latest generation of Itanium 2, which features a 6-Mbyte, 24-way set-associative on-die L3 cache. The design implements a 2-bundle 64-bit explicitly parallel instruction computing (EPIC) architecture and is fully compatible with previous implementations. Although this processors frequency is 50 percent higher than that of the previous generation, the maximum power dissipation holds flat at 130 W to ensure the platform's backward compatibility. |
20,155 | Please write an abstract with title: Dynamic Voltage Restorer for Voltage Dip Mitigation in Industries and Comparison to FACTS Devices, and key words: Industries, Voltage fluctuations, Power quality, Flexible AC transmission systems, Loading, Power distribution, Inverters. Abstract: In this paper, Detailed study is done for power quality and role of Dynamic Voltage Restorer (DVR) in solutions of power quality problems those occur into the power supply at the time of power distribution and improper loading such as mitigation of voltage dips for aim of protection of power quality sensitive devices. Further we will be comparing the compensation results DVR with compensation results of FACTS devices. |
20,156 | Please write an abstract with title: Reflector efficiency evaluation by frequency scaling, and key words: Reflector antennas, Frequency estimation, Antenna measurements, Frequency measurement, Extraterrestrial measurements, Apertures, Random processes, Degradation, Astronomy. Abstract: In recent evaluations of large parabolic reflector antennas, engineers have investigated the antenna performance at several frequencies. In this paper it is shown that the efficiency at any frequency can be estimated from a measured efficiency at another frequency and a carefully calculated design efficiency. In practice, an efficiency measurement at some frequency usually serves to determine the efficiency at all lower frequencies. |
20,157 | Please write an abstract with title: Large Direction-of-Arrival Mismatch Correction for Adaptive Beamforming, and key words: Direction-of-arrival estimation, Array signal processing, Signal to noise ratio, Estimation, Covariance matrices, Interference, Signal processing algorithms. Abstract: Direction-of-arrival (DOA) mismatch can degrade the performance of adaptive beamforming algorithms. Thus, a projection method is proposed to correct this mismatch. In a beamforming algorithm, the DOA error is usually regarded as a steering vector error which is corrected using a steering vector optimization algorithm. This approach can provide an optimal steering vector but ignores the actual DOA estimate. The proposed algorithm provides correction after DOA estimation but before beamforming to improve both the DOA estimation accuracy and beamforming gain. First, the signal-to-noise ratio (SNR) of the signal is estimated and used to regularize the covariance matrix. Then, an estimated steering vector with DOA close to the true value is determined based on a minimum number of projections. Numerical results are presented to verify the effectiveness of the proposed method for DOA estimation correction. In most cases, this method improves the performance of the beamforming algorithms without changing them. |
20,158 | Please write an abstract with title: Chain of Interdependent Vehicular Micro Clouds, and key words: Vehicular and wireless technologies, Connected vehicles, Conferences, Vehicle dynamics, Task analysis. Abstract: Vehicular micro cloud is a promising solution in which connected vehicles offer their resources as services to others and collaborate on tasks through vehicular networks. The properties of the vehicular micro cloud are generally set when it is formed at the core area and they remain static. However, a change in the environment could leave the micro cloud unable to respond adequately as its static properties become obsolete. Reacting to changes in the environment, on the other hand, requires dynamic updates on the properties of the vehicular micro cloud. In this paper, we address this dilemma and propose a chain of interdependent vehicular micro clouds. To respond to the changes in the environment, interdependent micro clouds are formed around the first vehicular micro cloud. Guidance information is transmitted before members of the dependent micro clouds arriving at the core area of the first micro cloud. Extensive simulations in different vehicular micro cloud settings show that the chain of interdependent vehicular micro clouds significantly improves the ability to respond to changes within the first micro cloud. Through the provided guidance information, members of dependent micro clouds are collectively prepared before they arrive at the core area. |
20,159 | Please write an abstract with title: LOTUS - a real time integrated sensor suite for anti-personnel mine detection, incorporating the MINEREC GPR, and key words: Ground penetrating radar, Infrared detectors, Vehicle detection, Sensor arrays, Cameras, Land vehicles, Programmable control, Real time systems, Infrared sensors, Paints. Abstract: The LOTUS Project demonstrated real-time antipersonnel mine detection from a moving vehicle by an integrated suite of sensors, the MINEREC GPR Array, a Metal Detector Army and an Infrared Camera. Data was captured, analyzed and the different sensor outputs fused, all in real time. The output was used to drive a simple paint ground marking system on the rear of the vehicle. As the vehicle drove forward, paint marks indicated the mine positions. In a field trial in Bosnia, all the mines within the detection range of the system were marked and the false alarm rate was extremely low. |
20,160 | Please write an abstract with title: From Music Information Retrieval to Stock Market Analysis: Theoretical Discussion on Feature Extraction Transfer, and key words: Couplings, Conferences, Transfer learning, Time series analysis, Feature extraction, Data mining, Stock markets. Abstract: Finding similar objects and patterns based on the similarity score is one of the fundamental and useful tasks in Data Mining. Different applications may introduce different features that need to be extract and analyzed. However, if two applications share some similar core concepts, it is possible to transfer some features that will be beneficial to transfer learning. Thus, this paper uses some features from Music Information Retrieval and Stock Market Analysis to theoretically illustrate the possibility of Feature Extraction Transfer. We use a 3-tuple or 6-tuple vector to record the music fundamental melody whereas a 5-tuple vector to record the daily behavior of the stock market from the candlestick chart. Hence, the flow of one music melody and the flow of one stock market can be treat as a time series vector sequence. Using this linkage, we have computed some feature exaction from Music Information Retrieval onto Stock Market Analysis and obtained some positive results. For example, the similarity between Activision Blizzard Inc and Zynga Inc have achieved a similarity score of 0.6250. Moreover, these positive results gave some ideas on implementing a self-supervised learning based system to manage your stock market and the potential of implementing a transfer learning between these two applications. |
20,161 | Please write an abstract with title: A class of good quasi-cyclic low-density parity check codes based on progressive edge growth graph, and key words: Parity check codes, Sparse matrices, Iterative decoding, Error correction codes, Computer architecture, Geometry, Quantum cascade lasers, Sum product algorithm, Design methodology, Null space. Abstract: We present a new class of quasi-cyclic low density parity check (QC-LDPC) codes, whose quasi-cyclic nature makes them attractive for implementation. Both regular and irregular QC-LDPC codes are designed by modifying the progressive edge growth (PEG) graph with a quasi-cyclic constraint. Simulations show that these QC-LDPC codes offer hardware-friendly parity check matrices and have as good error correction performance as random LDPC codes and other good QC-LDPC codes. In addition, the proposed QC-LDPC codes offer a much more flexible set of parameters compared to the traditional designs. |
20,162 | Please write an abstract with title: A Relation between AND and ∀, and OR and ∃, and key words: Artificial Intelligence, predicate reasoning, quantifiers, logic gates. Abstract: This paper explores a relation between predicate quantifiers ∀ and ∃, and logic operations AND and OR respectively. |
20,163 | Please write an abstract with title: An explanation of the large peak of activation energy observed by TSDC at T/sub g/: a simple model of entropy relaxation, and key words: Entropy, Glass, Kinetic theory, Polymers, Thermodynamics, Temperature, Amorphous materials, Signal analysis, Potential energy, Surfaces. Abstract: When investigating amorphous materials, i.e. polymers and glasses, by Thermally Stimulated Depolarization Current (TSDC), strong changes in relaxation rates at the glass transition T/sub g/ are frequently explained in terms of a physical singularity of the molecular motions. We show that the unexpected values for activation energy and pre-exponential factor obtained around T/sub g/ from the analysis of TSDC signal, result from the misuse of the Arrhenius law for treating the experimental data obtained in non-stationary experimental conditions. A simple model based on a time dependent configurational entropy is therefore proposed to explain the experimental behavior. Then, the pronounced variation of the effective activation energy appears as a dynamic signature of a simple entropy relaxation associated to non-stationary conditions. |
20,164 | Please write an abstract with title: The Coupled-Cavity Transmission Maser- Engineering Design, and key words: Design engineering, Masers, Bandwidth, Iris, Gain, Coupling circuits, Design for experiments, Microwave amplifiers, Microwave circuits, Circuit analysis. Abstract: The experimental design of an X-band microwave maser amplifier which uses a new type of slow-wave circuit is described. A detailed theoretical analysis of the circuit is presented in a companion paper. The slow-wave circuit consists of a cascade of iris-coupled ruby resonators separated by garnet isolators. This unit provides significant reduction in size and weight over previously reported maser slow-wave circuits. The microwave properties of the solid ruby resonator are treated in detail, and the passive bandwidth of the single transmission cavity and its relation to the iris susceptance are shown. Experimental techniques involved in obtaining and measuring precise iris susceptance are presented. A step-by-step procedure for designing an amplifier having a given gain and tuning range is also presented. Typical performance characteristics include a gain of 30 db, instantaneous bandwidth of 25 Mc and a noise temperature of 15/spl deg/K. An electronic tuning range of 200 Mc has been achieved in one configuration with a 20 db gain and a 25-Mc bandwidth. The weight of the maser-dewar unit, filled with 6 liters of helium for 24 hours of operation is less than 40 pounds. The design of the dewar enables the cryogenic system to work over a wide range of vertical angles, thus facilitating the use of the maser at the feed of a large steerable antenna. |
20,165 | Please write an abstract with title: Cluster Head Selection Using Genetic Algorithm in Wireless Network, and key words: Wireless sensor networks, Routing, Routing protocols, Energy consumption, Relays, Genetics. Abstract: Wireless sensor network (WSN) is one of the huge advance in wireless communication because its ability to gather a lot of information about the surrounding area that is deployed there by the use of hundreds and thousands nodes in the network. The nodes are responsible to gather and relay the data between each other to the Base Station (BS). The main issue here to be into consideration is the life time of the nodes and the number of packets that nodes are able to transfer from one node to another. This means that the energy of nodes is the parameters that should be optimized to let WSN works for a long time with efficient manner. To satisfy this, routing and clustering mechanisms should be energy aware. Because of this; chosen an efficient routing protocol with addition to a powerful technique of clustering is very important. In this paper, a Genetic Low Energy Adaptive Clustering (G-LEACH) is evaluated in 100 uniformly distributed wireless sensor networks in term of number of alive nodes, energy consumption, number of cluster heads and packets delivery to cluster heads. The election of cluster head is achieved by using genetic optimization approach which can determine the efficient and useful cluster heads. The results show that G-LEACH presents some advantages over the LEACH algorithm since the stability zone of the G-LEACH is greater than the stability zone of LEACH by 358 rounds since the first node dies after 1544 rounds in G-LEACH. That's mean; the network's lifetime lives 61.7% longer with the use of G-LEACH instead of LEACH. Meanwhile, the cluster heads are increased by 10% above LEACH when using G-LEACH. |
20,166 | Please write an abstract with title: Grid-Forming Loads: Can the Loads Be in Charge of Forming the Grid in Modern Power Systems?, and key words: Renewable energy sources, Voltage control, Power system stability, Power generation, Frequency control, Frequency synchronization, Wind power generation. Abstract: Modern power systems are facing the tremendous challenge of integrating vast amounts of variable (non-dispatchable) renewable generation capacity, such as solar photovoltaic or wind power. In this context, the required power system flexibility needs to be allocated in other units that can include energy storage, demand management or providing reserve from renewables curtailing the output power. The present paper proposes the new concept of grid-forming load, which can be considered a totally flexible concept of demand. The concept is not only ensuring the load is supporting the grid stability by adapting the load to the overall system balancing, but also ensures that the load is actually contributing to form the grid and to provide synchronization power to the overall system. In this sense, the new concept allows running a system powered only by renewables operating at maximum power (or operator defined set-point) in grid-following mode, while the overall system control is ubicated in the demand side. This is an important change of paradigm as it considers that all the flexibility, synchronism and stability provision is on the demand side. This concept can applied either to isolated systems or also to future power systems, where millions of loads steer the power system while the renewables are operating at full power. The paper proposes the concept, suggests possible control implementations of the grid-forming load and analyses the concept in four simulation case studies. |
20,167 | Please write an abstract with title: Multi-player Reach-Avoid Game in Dynamic Environment, and key words: Heuristic algorithms, Conferences, Games, Turning, Safety, Planning, Vehicle dynamics. Abstract: With autonomy gaining popularity and acceptance in various fields, humans have begun shifting to employing autonomous vehicles to perform risky tasks in hostile environment. Therefore, it is crucial that we investigate motion planning problem with safety in mind. In this sense, reach-avoid game is a good problem to analyze due to its complex nature and the fact that worst-case disturbance is considered. In this work we present an iterative open-loop formulation for a reach-avoid game with multiple attackers and defenders. We show the proposed method can find more direct paths compared to the basic open-loop formulation, and perhaps more importantly, the algorithm can find feasible paths in situation where open-loop formulation simply cannot. By solving the game with the proposed method we can guarantee the safety of the planned path, despite the dynamic environment with the presence of unpredictable obstacles, adversarial defender, as well as other attackers. In addition, we offer a practical method that ensures agents with minimum turning radius only take paths that respect the constraints. We verify the effectiveness of our method through a series of simulations. |
20,168 | Please write an abstract with title: Burst cloning: a proactive scheme to reduce data loss in optical burst-switched networks, and key words: Cloning, Optical losses, Intelligent networks, Optical fiber networks, Analytical models, Optical buffering, Optical wavelength conversion, Computer science, Computer networks, Optical computing. Abstract: In this paper, we propose a novel proactive scheme, burst cloning, to reduce data loss due to burst contention in optical burst-switched (OBS) networks. The idea is to replicate a burst and send duplicated copies of the burst through the network simultaneously. If the original burst is lost, the cloned burst way still be able to reach the destination. Primary design issues in burst cloning are to select the optimal nodes at which to do cloning and to prevent cloned bursts from contending for resources with original bursts. An analytical model is developed to evaluate the proposed scheme. The model is verified through extensive simulations. We observe that burst cloning could significantly reduce data loss in OBS networks. |
20,169 | Please write an abstract with title: Modularized low temperature LNO/PZT/LNO ferroelectric capacitor-over-interconnect (COI) FeRAM for advanced SOC (ASOC) application, and key words: Temperature, Ferroelectric materials, Random access memory, Ferroelectric films, Nonvolatile memory, Electrodes, Crystallization, Lattices, Capacitors, Fatigue. Abstract: Embedded FeRAM module is achieved by a low temperature capacitor-over-interconnect (COI) process. A conductive perovskite LaNiO/sub 3/ (LNO) bottom electrode is used as seed layer, the crystallization temperature of in-situ sputter deposited PZT is greatly reduced from 600/spl deg/C to 350 /spl deg/C/spl sim/400/spl deg/C LNO's near-perfect lattice match with PZT allows PZT to growth epitaxially at low temperature. When LNO is used as top electrode of the ferroelectric capacitor, the fatigue performance is greatly improved. The COI LNO/PZT/LNO FeRAM structure achieved by this low temperature process is completely modular and is ideal for advanced Cu/low-K SOC application. |
20,170 | Please write an abstract with title: Representing codes for belief propagation decoding, and key words: Belief propagation, Maximum likelihood decoding, Parity check codes, Sparse matrices, Geometry, Books, Logic, Block codes, Linear code. Abstract: This paper discusses the method for generating sparse generalized parity check (GPC) matrix representations of binary linear block codes. The performance of belief propagation decoding algorithm with GPC matrices on binary erasure channel (BEC) are also discussed. |
20,171 | Please write an abstract with title: Gellish: an information representation language, knowledge base and ontology, and key words: Information representation, Ontologies, Data models, ISO standards, Standards development, Memory, Data communication, Communication standards, Taxonomy, Databases. Abstract: Data storage and data communication lack a common standard widely applicable data model as well as a common data language and knowledge base with a taxonomy of concepts and a grammar for data exchange messages. We present a solution to this problem in the form of the new "open" industry standard Gellish language and knowledge base, as a further development of the standard data model and ontology of two new ISO standards. We state that Gellish is a suitable language for neutral data exchange between systems. The definition of Gellish includes the public domain ("open data") Gellish knowledge base (STEPlib) with definitions of a large number of concepts and product models. This provides an ontology with standard reference data for customization of systems in a standardized way to be prepared for data harmonization, data integration and data exchange. It illustrates that a single table database or data exchange file format, the Gellish table format, is sufficient to express a wide range of kinds of facts about classes as well as facts about individual objects so that it can replace data models. |
20,172 | Please write an abstract with title: A Non-Expansive Convolution for Nonlinear-Phase Paraunitary Filter Banks and Its Application to Image Coding, and key words: Convolution, Channel bank filters, Image coding, Filter bank, Joining processes, Signal analysis, Image reconstruction, Signal synthesis, Transform coding, Discrete cosine transforms. Abstract: This paper proposes a new non-expansive convolution for nonlinear-phase paraunitary filter banks (NLPPUFBs). First, we present that any NLPPUFBs can be implemented by connecting several block transforms. Next, we show a signal extension method at the analysis bank by exploiting the characteristics of that structure. Furthermore, we prove that the signal can be reconstructed at the synthesis bank without any redundant signals. Finally, we apply the proposed extension to image coding to validate our method |
20,173 | Please write an abstract with title: The Coupling Relationship Between Rural Revitalization and New Urbanization Is Based on Time Series Analysis: Case Study of Ya'an, and key words: Couplings, Analytical models, Pollution, Fluctuations, Urban areas, Time series analysis, Games. Abstract: The coordinated promotion of new urbanization strategy and Rural Revitalization Strategy is the basic path to achieve the integration of urban and rural development, the key to the integration of urban and rural development lies in the dual drive of Rural Revitalization and new urbanization. However, the quantitative research on the coupling relationship between Ya'an Rural Revitalization and new urbanization is almost blank. This paper uses the system coupling coordination degree model to construct the evaluation index system of Rural Revitalization and new urbanization subsystem, and takes the index data of Ya'an City from 2011 to 2018 as samples to conduct empirical analysis on the coupling degree of the two. The results show that the coupling degree of subsystems of the two strategies is always at the high level of 0.9, but the coupling coordination degree is relatively low. According to the increasing trend of high coupling degree and coordination degree year by year, it can be predicted that with the passage of time, the coupling coordination of Rural Revitalization and new urbanization system in Ya'an City will gradually evolve into the benign resonance type of "high coupling high coordination" through long-term antagonism and running in, and guide the two systems to develop in a more orderly and coordinated direction. |
20,174 | Please write an abstract with title: Polarimetric SAR Landcover Classification Based on CNN with Dimension Reduction of Feature, and key words: Training, Dimensionality reduction, Deep learning, Wavelet transforms, Visualization, Image processing, Redundancy. Abstract: To overcome the dimensionality disaster and feature redundancy problem, caused the Polarization feature dimensions increasing, in the deep learning network training for landcover classification using polarimetric SAR image, a novel polarimetric SAR image classification architecture using DeepLabV3 after twice dimensionality reduction with wavelet fusion and PCA is proposed. The three-layer wavelet decomposition and feature fusion and PCA processing are implemented before DeepLabV3 training to reduce the feature dimension. The full-polarization SAR data of Gaofen-3 in Baihu Farm area was used for verification. Compared with traditional method, the method proposed in this paper improved significantly in classification accuracy, which proved the effectiveness of the new method. |
20,175 | Please write an abstract with title: Investigation on Voltage Stability and Analysis of a Dynamic Power System Using Bifurcation Techniques, and key words: Continuation Power Flow (CPF), Eigen value analysis, Hopf Bifurcation, PSAT, Saddle Node Bifurcation, Static Var Compensator. Abstract: This paper analyzes the application of Bifurcation techniques in the investigation of voltage stability of a dynamic power system. Voltage stability analysis of a power system is necessary during the planning and operating stages of the power system. In the modern scenario where the power system is almost operated near to the stability margin, analysis of the voltage stability is obligatory. Bifurcation theory which holds good for voltage stability analysis has been applied to the IEEE 14 test bus system with dynamic components. The Continuation Power Flow (CPF) and Eigen value analysis was carried out. Initial studies showcase the existence of Saddle Node Bifurcation (SNB) and Hopf bifurcation in the test case system. In order to improve the stability of the system Static Var Compensator (SVC) was introduced in the test bus system and the results shows a significant improvement in the voltage stability of the power system. |
20,176 | Please write an abstract with title: Bihelical Antenna System to Mitigate Multipath Interference in Microwave Data Transmission, and key words: Microwave antennas, Wireless communication, Wireless sensor networks, Helical antennas, Transmitting antennas, Interference, Propagation losses. Abstract: Rural microwave data transmission, which has the capability of connecting numerous types of distributed sensors to provide IoT connectivity, often requires signal transmission over long distances at low elevations, resulting in challenges due to multipath interference and signal depolarization. A microwave antenna system that addresses these challenges within acceptable size, power, and cost constraints was designed and tested. This bihelical antenna is composed of two concentric, circularly polarized helical antennas mounted on a conducting backplane, a phase trimmer, and signal combiner. The proposed antenna functions as a microwave bridge system and is intended to fill the gap in mid-range network access in rural settings. |
20,177 | Please write an abstract with title: Impact of Optical ISL on Satellite Routing Path Discovery in LEO Satellite Mega-Constellation, and key words: Integrated optics, Radio frequency, Satellites, Ultraviolet sources, Low earth orbit satellites, Routing, Optical fiber communication. Abstract: The satellite network is one of the key technology of future communications. However, traditional geostationary orbit (GEO) satellite systems have significant problems of a long latency and a heavy launch cost. Hence, low-earth orbit (LEO) satellites have emerged as an alternative system to mitigate the intrinsic problems of GEO satellites. Along with the development of LEO satellite technologies, the inter-satellite link (ISL) has been designed to provide improved system performance and more reliable service. In addition, the optical ISL has been highlighted due to its high data rate and small terminal size. In this study, we consider the mega-constellation architecture, time-varying satellite topology, and multiple visible satellites. The impacts of optical communications are investigated on the routing path discovery procedure. Then, we propose a routing algorithm and compare the system performances of RF and optical systems. |
20,178 | Please write an abstract with title: Adaptive robust control of floating offshore wind turbine based on sliding mode, and key words: Wind turbines, Blades, Uncertainty, Perturbation methods, Tuning, Rotors, Adaptation models. Abstract: In this paper, adaptive high order sliding mode (HOSM) based control schemes are proposed for a floating offshore wind turbine (FOWT). These adaptive control methods are especially efficient for systems with uncertainties and external perturbations that is well adapted to wind turbines systems. The two HOSM based controllers are applied on FOWT, their main features being that they require a very reduced knowledge of the system (only the relative degree is supposed known) and a reduced tuning effort compared to standard controllers for FOWT as gain scheduled PI (GSPI) controller. Simulation results show high performances of the proposed controllers for rotor speed regulation and reduction of platform pitch motion. |
20,179 | Please write an abstract with title: Intuitionistic Fuzzy Weighted Least Squares Twin SVMs, and key words: Support vector machines, Computational modeling, Mathematical models, Training, Risk management, Kernel, Computational complexity. Abstract: Fuzzy membership is an effective approach used in twin support vector machines (SVMs) to reduce the effect of noise and outliers in classification problems. Fuzzy twin SVMs (TWSVMs) assign membership weights to reduce the effect of outliers, however, it ignores the positioning of the input data samples and hence fails to distinguish between support vectors and noise. To overcome this issue, intuitionistic fuzzy TWSVM combined the concept of intuitionistic fuzzy number with TWSVMs to reduce the effect of outliers and distinguish support vectors from noise. Despite these benefits, TWSVMs and intuitionistic fuzzy TWSVMs still suffer from some drawbacks as: 1) the local neighborhood information is ignored among the data points and 2) they solve quadratic programming problems (QPPs), which is computationally inefficient. To overcome these issues, we propose a novel intuitionistic fuzzy weighted least squares TWSVMs for classification problems. The proposed approach uses local neighborhood information among the data points and also uses both membership and nonmembership weights to reduce the effect of noise and outliers. The proposed approach solves a system of linear equations instead of solving the QPPs which makes the model more efficient. We evaluated the proposed intuitionistic fuzzy weighted least squares TWSVMs on several benchmark datasets to show the efficiency of the proposed model. Statistical analysis is done to quantify the results statistically. As an application, we used the proposed model for the diagnosis of Schizophrenia disease. |
20,180 | Please write an abstract with title: Evaluation of damage in DNA molecules resulting from very-low-frequency magnetic fields by using bacterial mutation repairing genetic system, and key words: DNA, Magnetic fields, Microorganisms, Genetic mutations, Home appliances, Genetic engineering, Frequency, Coils, Biological cells, Gene expression. Abstract: The effect of very-low-frequency magnetic fields (VLFMF) on living biological cells was investigated using a highly sensitive mutagenesis assay method. A bacterial gene expression system for mutation repair (umu system) was used for the sensitive evaluation of damage in DNA molecules. Salmonella typhimurium TA1535/pSK1002 were exposed to VLFMF (20 kHz, 600 /spl mu/T, and 60 kHz, 100 /spl mu/T) in a specially designed magnetic field exposure chamber. The experimental results showed the possibility of applying the umu assay for sensitive and effective evaluation of damage in DNA molecules. No significant difference was observed in the umu gene expression intensity under exposure to magnetic field of 20 kHz, 600 /spl mu/T, and 60 kHz, 100 /spl mu/T. |
20,181 | Please write an abstract with title: General Evaluation of Rectifier Arrangements for the Three-Phase DC/DC Converter, and key words: Total harmonic distortion, Design methodology, Rectifiers, Modulation, Voltage, DC-DC power converters, Transformers. Abstract: This paper presents the figure of merit of a three-phase dc/dc converter considering several transformer and rectifier arrangements. The main waveforms obtained by simulation are presented and some important characteristics are analyzed, which include the apparent power processed by the transformer, maximum reverse voltage and rms currents on the secondary-side diodes, among other aspects. The study aims at obtaining general design guidelines for power electronics engineers and experts. |
20,182 | Please write an abstract with title: ASAP: An Analytical Strategy for AQFP Placement, and key words: Wires, Clocks, Superconducting logic circuits, Superconducting filaments and wires, Josephson junctions, Energy dissipation, Tools. Abstract: Adiabatic Quantum-Flux-Parametron (AQFP) is a superconducting logic with very low energy dissipation. Each AQFP cell is driven by AC-power to serve as both power supply and clock signal. The clock signals trigger the data flow from one clock phase to the next clock phase, and the delay for each output in the same phase has to be equal. At the same time, the signal current attenuates as the wire becomes longer. When a wire exceeds a maximum length, the weak current causes incorrect data. Thus, rows of buffers have to be inserted as repeaters to satisfy both delay synchronization and wirelength constraint. These inserted buffers significantly increase the power consumption and also the total delay of AQFP circuits. In this paper, we propose an analytical strategy for AQFP placement (ASAP) to provide effective placement results that greatly reduce the number of additional inserted buffers. ASAP includes two main characteristics: 1) a new wire-length function for analytical global placement and 2) detailed placement including fixed-order Lagrangian relaxation and cell balancing algorithm. Experimental results show the efficiency of ASAP framework and a 53% reduction of buffers over the state-of-the-art method. |
20,183 | Please write an abstract with title: Optimizing financial results for credit risk prediction in peer to peer lending platforms using machine learning, and key words: Water, Training, Analytical models, Machine learning algorithms, Machine learning, Predictive models, Data models. Abstract: The purpose of this research paper is to propose an approach for optimizing the profit in Peer-to-Peer lending platforms by setting an optimal threshold for predictions generated by machine learning models. During the model training machine learning algorithms set the threshold in such a way as to achieve best evaluation measures, specifically highest values of F1 score. The empirical results from conducted experiments show that automatically set threshold is not generating the maximum profit regarding financial results – loss and profit. We propose approach to calculate threshold to achieve a maximum profit. Further analysis reveals that application of trained models with the set threshold leads to significantly reduced default loans ratio and at the same time improves the credit portfolio structure of the Peer-to-Peer lending platform. The experiments are conducted in h2o environment and R programming language is used for coding. Machine learning models are trained using homogeneous and heterogeneous ensemble algorithms like XGBoost, gradient boosting machine (GBM), Random Forest, Stacked Ensembles, etc. Models are trained on data extracted from Lending Club website. Different evaluation measures are derived to compare and rank the fitted models. The best performing algorithms proved to be Stacked Ensembles and XGBoost. We simulate the application of trained machine learning models with calculated according to the proposed methodology threshold and results demonstrate that with machine learning models Peer-to-Peer lending platform can decrease the default loan ratio from 20% to 12% and at the same time generate profit lift of 16%. |
20,184 | Please write an abstract with title: Subjective and objective quality assessment of noise reduced speech signals, and key words: Quality assessment, Noise reduction, Speech enhancement, Oral communication, Teleconferencing, Telephony, Microphones. Abstract: Summary form only given. Recently, hands-free speech communication is becoming increasingly necessary for teleconferences, in-car telephones, and PC-based IP telephony. Since speech signals acquired by a distant microphone are generally corrupted by ambient noise, noise reduction is indispensable for ensuring speech quality. To investigate the effect of noise reduction on speech quality, the subjective quality assessment of noisy speech signals and noise reduced speech signals was performed. This result confirmed that the difference of noise types gives little effect on the subjective quality and the subjective quality is more sensitive to the speech distortion than the residual noise. This paper also investigated the applicability of the PESQ to the objective quality assessment of noise reduction algorithms. The experimental result showed that the objective quality correlates well with the subjective quality. However, there was the case that the objective quality is lower than the subjective quality in the specific noise reduction algorithms. |
20,185 | Please write an abstract with title: Estimation Of Three-Wheeler Passenger Unit (Pcu) Using Headway Method Case Study Of Abuja Nigeria, and key words: Passenger Car Unit PCU, Cars, Trucks and Three-wheeler motorcycles. Abstract: Traffic stream in many countries including Nigeria is made of different vehicles having different static and dynamic characteristic. The ban of two wheelers vehicles in Abuja city center has resulted in upsurge in the use of three wheelers. There is therefore the need to estimate the passenger car unit for this city due to the change in means of transportation for effective transport planning, designing and operation analysis. In this study, the headway method was used to develop a PCU value for trucks and three-wheelers at signalized intersections in Abuja, Nigeria. The intersections were selected based on stratified random method of sampling. Data was collected using manual method. The PCU obtained from this research is 0.92 and 1.82 for three-wheeler at Apo intersection; followed PCU of 0.92 and 2.34 at Gwarimpa intersection and lastly a PCU of 0.96 and 2.09 at Games village Intersection. The research concluded on a state average PCU value of 2.08 and 0.93 for Trucks and three wheelers for planning, designing and operation analysis in Abuja. The research recommends adapting the passenger car unit values obtained for local use and design of intersections in Abuja for efficient operation of highway facilities in the city. |
20,186 | Please write an abstract with title: Brukel vs Brukel: Impact of Game Fidelity on Player Experience In Gaminiscing Games, and key words: Game Design, Interactive Storytelling, Gaminiscing, Player Experience. Abstract: High-fidelity game development could be advantageous for improving player experience. However, it often comes at a price—labor costs, monetary investments, and lengthy development processes and it is challenging to balance between game fidelity and development cost. This work focuses on a specific genre—gaminiscing games, that are designed in a narrative way to archive and recreate personal oral history. Our study aims to explore the potential possibility of low-fidelity game design but without significantly, or even at all, sacrificing the player experience. Concretely, this paper explores whether a game design with higher fidelity and a specific type of scene would always correlate with a better player experience. An experiment with 42 participants was conducted using a commercial gaminiscing game called Brukel. Results show that it is not the case that both fidelity and scene would always significantly affect the overall experience of the game. This finding could shed light on practical game design, where game designers can choose the level of production that best aligns with their game's objectives. |
20,187 | Please write an abstract with title: Path Planning for the Dynamic UAV-Aided Wireless Systems Using Monte Carlo Tree Search, and key words: Task analysis, Trajectory, Autonomous aerial vehicles, Energy consumption, Wireless communication, Vehicle dynamics, Monte Carlo methods. Abstract: For UAV-aided wireless systems, online path planning attracts much attention recently. To better adapt to the real-time dynamic environment, for the first time, we propose a Monte Carlo Tree Search (MCTS)-based path planning scheme. In details, we consider a single UAV acts as a mobile server to provide computation tasks offloading services for a set of mobile users on the ground, where the movement of ground users follows a Random Way Point model. Our model aims at maximizing the average throughput under energy consumption and user fairness constraints, and the proposed time-saving MCTS algorithm can further improve the performance. Simulation results show that the proposed algorithm achieves a larger average throughput and a faster convergence performance compared with the baseline algorithms of Q-learning and Deep Q-Network. |
20,188 | Please write an abstract with title: Strategy to Characterize Electromigration Short Length Effects in Cu/low-k Interconnects, and key words: Electromigration, Degradation, Bridges, Thermal factors, Tensile stress, Metals, Market research. Abstract: With the increasing amount of on-chip interconnects and continuous down-scaling, electromigration will play a more critical role especially for automotive reliability, which requires high statistical confidence. In confined metal lines, tensile stress builds up at the cathode side before void nucleation; compressive stress builds up at the anode side. A critical stress is required for EM-induced void formation to occur. Proper understanding of the critical stress is crucial for boosting interconnect RC performance, yet guaranteeing robust electromigration reliability. This study aims to characterize the short length effect and physical degradation behavior with a modified Wheatstone Bridge structure to significantly increase the statistical confidence. |
20,189 | Please write an abstract with title: A numerical study of time-reversed UWB electromagnetic waves in continuous random media, and key words: Electromagnetic scattering, Random media, Finite difference methods, Time domain analysis, Remote sensing, Signal resolution, Acoustic scattering, Permittivity, Ultra wideband technology, Numerical simulation. Abstract: We investigate superresolution effects on ultrawideband (UWB) electromagnetic waves (EM) produced by time-reversal (TR) arrays in continuous random media. The investigation is done via numerical simulations employing the finite-difference time-domain (FDTD) method. A Gaussian random background medium is considered. We compare the effect of statistical parameters, viz. variance, and correlation length, on the focusing resolution of transmitted waves by the TR array (TRA). The effect of depolarization is also briefly considered. |
20,190 | Please write an abstract with title: LightMOS a new power semiconductor concept dedicated for lamp ballast application, and key words: Lamps, Electronic ballasts, Monolithic integrated circuits, Semiconductor diodes, Insulated gate bipolar transistors, Costs, Tail, Switching loss, MOSFET circuits, Power MOSFET. Abstract: With the monolithic integration of a body diode into an IGBT structure, a very cost attractive solution for the lamp ballast application is introduced. Using the trench stop technology for lowest tail currents, switching losses and the overall power losses of the device are in the range of the latest MOSFET technologies using the compensation principle for lowest on state resistances. |
20,191 | Please write an abstract with title: Real Exchange Rate and Current Account Dynamics with Sticky Prices and Distortionary Taxes, and key words: Exchange rates, Finance, Elasticity, Productivity, Electric shock, Stochastic processes, Robustness, Government, Econometrics, Couplings. Abstract: This paper examines the interaction of real exchange rates and current account movements in open economics subject to monopolistic competition with sticky price-setting behavior and distortionary taxes. We find that the correlations between fiscal balances and the current account depend on the elasticity of net exports with respect to the real exchange rate. Under highly elastic export demand, the welfare effects may be greater or lower than under export demand with a low elasticity |
20,192 | Please write an abstract with title: Square- and racetrack-lasers as active components for monolithically integrated optoelectronic devices, and key words: Integrated optoelectronics, Laser modes, Etching, Threshold current, Electrons, Cyclotrons, Resonance, Temperature, Power lasers, Power generation. Abstract: Deeply etched square and rectangular racetrack lasers with diameters from 200 /spl mu/m down to 30 /spl mu/m were fabricated by electron cyclotron resonance reactive ion etching. All devices were operated in continuous-wave mode at room temperature. Threshold currents as low as 30 mA for a square laser with 30 /spl mu/m diameter were achieved. For the smallest devices with 30 /spl mu/m diameter a free spectral range of 6.2 nm could be obtained equivalent to a channel distance of 760 GHz. Racetrack lasers with a 50 /spl mu/m extension length show output powers up to 2.3 mW from one facet, threshold currents between 22 and 60 mA and side mode suppression ratios of 35 dB. |
20,193 | Please write an abstract with title: Compact FPGA-based beamformer using oversampled 1-bit A/D converters, and key words: Field programmable gate arrays, Logic devices, Finite impulse response filter, Biomedical imaging, Ultrasonic imaging, Analog-digital conversion, Signal processing, Image reconstruction, Image sampling, Signal sampling. Abstract: A compact medical ultrasound beamformer architecture that uses oversampled 1-bit analog-to-digital (A/D) converters is presented. Sparse sample processing is used, as the echo signal for the image lines is reconstructed in 512 equidistant focal points along the line through its in-phase and quadrature components. That information is sufficient for presenting a B-mode image and creating a color flow map. The high sampling rate provides the necessary delay resolution for the focusing. The low channel data width (1-bit) makes it possible to construct a compact beamformer logic. The signal reconstruction is done using finite impulse response (FIR) filters, applied on selected bit sequences of the delta-sigma modulator output stream. The approach allows for a multichannel beamformer to fit in a single field programmable gate array (FPGA) device. A 32-channel beamformer is estimated to occupy 50% of the available logic resources in a commercially available midrange FPGA, and to be able to operate at 129 MHz. Simulation of the architecture at 140 MHz provides images with a dynamic range approaching 60 dB for an excitation frequency of 3 MHz. |
20,194 | Please write an abstract with title: Scalable Zonotopic Under-Approximation of Backward Reachable Sets for Uncertain Linear Systems, and key words: Reachability analysis, Uncertainty, Linear systems, Generators, Optimization, Complexity theory, Tools. Abstract: Zonotopes are widely used for over-approximating <i>forward</i> reachable sets of uncertain linear systems for verification purposes. In this letter, we use zonotopes to achieve more scalable algorithms that under-approximate <i>backward</i> reachable sets of uncertain linear systems for control design. The main difference is that the backward reachability analysis is a two-player game and involves Minkowski difference operations, but zonotopes are not closed under such operations. We under-approximate this Minkowski difference with a zonotope, which can be obtained by solving a linear optimization problem. We further develop an efficient zonotope order reduction technique to bound the complexity of the obtained zonotopic under-approximations. The proposed approach is evaluated against existing approaches using randomly generated instances and illustrated with several examples. |
20,195 | Please write an abstract with title: Regularization method for identification of crack shape for nondestructive evaluation, and key words: Shape, Laplace equations, Integral equations, Boundary element methods, Magnetic flux density, Singular value decomposition, Magnetic flux, Magnetic sensors, Optimization methods, Iterative methods. Abstract: This paper presents an identification method of crack shapes on eddy-current testing. In order to use the impulse excitation, numerical analysis is performed by the boundary element method with Laplace transform. The shapes of cracks are identified directly from the solutions of the integral equation of boundary element method. The proposal method by the singular value decomposition and fuzzy regularization method are applied into the shape identifications of various crack widths and heights to examine our proposed method. |
20,196 | Please write an abstract with title: A Neural Network with Spatial Attention for Pixel-Level Crack Detection on Concrete Bridges, and key words: Bridges, Learning systems, Deep learning, Image edge detection, Neural networks, Transportation, Feature extraction. Abstract: Concrete bridges play a very important role in transportation. As the main type of concrete bridges' damage, crack detection is of great significance to ensure the safety of bridges. In order to avoid the influence of subjective factors, methods based on deep learning develop rapidly. In this paper, a new network model in the form of encoder-decoder is proposed. It achieves the crack detection on pixel-level, which means that the detection results can be further quantified in the future. Meanwhile, the model proposed adds Spatial Attention to take advantage of crack's spatial characteristics. By doing this, more crack details can be found in the test results. |
20,197 | Please write an abstract with title: Energy Conscious Resources Management in Sustainable Ecofriendly Cloud Environment, and key words: Cloud Resources, Cloudlets, Virtual Machines, Energy consumption, Cloud System Peripherals. Abstract: In eco-friendly cloud environment technology solutions for resources management have a great opportunity. The main concern is efficient energy usage, which is influenced by elements, such as internet nodes, client-server network and nodes, also temperature sensing units and other devices. Most environmental impact is based on peripherals and resource utilization energy cost. To limit the energy impact and energy utilization we're attempting to lower the amount of energy consumed by both currently active and inactive cloud assets treated as DAG. This is being attempted by using the improved scheduling method which is an optimal energy-cutback strategy for scheduling based on energy aware in this environment to minimize network resources in cloud environment. In this paper in section 3 the strategy has been discussed along with algorithm and in section 4 the result analysis has been done. It is found that as per simulation two objectives one scheduling and other resources reduction is being meet here and helped in reduction of the energy consumption. |
20,198 | Please write an abstract with title: Single-Receiver Multioutput Inductive Power Transfer System With Independent Regulation and Unity Power Factor, and key words: Capacitors, Voltage control, Receivers, Reactive power, Inverters, Zero voltage switching, Rectifiers. Abstract: Inductive power transfer (IPT) systems with multiple output voltages are potential to supply a variety of loads simultaneously. This article proposes an IPT system with multiple semiactive rectifier cells (SARCs) connected in series at the receiver (Rx) side. These SARCs are independent of each other and their output voltages can be regulated individually with single receiver coil, which reduces the cost and volume. The proposed IPT configuration has the advantages of high flexibility, simple control, and no cross regulation. Considering that the SARC may cause additional reactance and lead to detuning of the Rx side, variable inductor is introduced to ensure the full tuning condition. Thus, the proposed IPT system can maintain zero phase angle operation with unity power factor in the whole load range, minimizing the reactive power losses. In addition, both primary inverter and the SARCs can achieve zero voltage switching. To verify the feasibility and validity of the proposed IPT system, an experimental prototype with two outputs of 640 W/150 V and 400 W/120 V is built. |
20,199 | Please write an abstract with title: Comprehensive Optimization of Variable Load Capacity of Heating Unit under Complicated Working Conditions, and key words: Turbines, Boilers, Optimization methods, Valves. Abstract: Steam extraction will decrease variable load capacity of a heating unit which cannot meet the power grid requirements. So the unit needs to be modified to meet this requirement. But the existing optimization methods for every subsystems are isolated from each other, which is not aware of the relationship among them. With this problem, a comprehensive optimization method is proposed with different equipment or subsystem of unit. During the process, the implementation sequence of each step of the optimization method is adjusted according to the functional attributes, such as the sequence from the logical structure to the device characteristic curve and then the CCS (Coordinate Control System) parameters. The actual test proves that this technology can improve the variable load capacity effectively, and the subsequent technology promotion also shows its universality. |
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