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20,900 | Please write an abstract with title: Frame theoretic quantization for limited feedback MIMO beamforming systems, and key words: Quantization, Feedback, MIMO, Array signal processing, Transmitters, Signal processing algorithms, Distortion measurement, Diversity reception, Mutual information, Signal design. Abstract: In an uncorrelated Rayleigh fading channel, multiple-input multiple-output (MIMO) beamforming-combining systems can attain full diversity and significant array gain using channel knowledge at the transmitter. In the absence of channel knowledge at the transmitter, a beamforming vector can be quantized at the receiver using a fixed pre-determined codebook of beamforming vectors and the codeword index can be sent to the transmitter. Designing optimal codebooks (that maximize expected SNR) is an open problem and vector quantization (VQ) and Grassmannian line packings (GLP) have been proposed as possible solutions. In this paper, a mutual information based codebook design criterion is introduced and equiangular frames (EF) are proposed as beamforming codebooks satisfying this criterion. Besides providing a systematic way to design codebooks, EFs result in higher receive signal-to-noise ratio compared to codebooks designed using VQ or GLP. |
20,901 | Please write an abstract with title: Research on Forecasting Aeroengine Vibration Signals Based on the MAE Model, and key words: Vibrations, Forecasting, Data models, Atmospheric modeling, Predictive models, Rotors, Engines, Neural networks, Aircraft propulsion. Abstract: For understanding the vibration states of aero-engines deeply and acquiring warning signs in real-time, a T-step forecast method of aero-engine vibration is proposed based on a powerful and advanced deep learning model, the MAE (Masked Autoencoders) model. Unlike previous common algorithms, the MAE model performs pre-training tasks by reconstructing information to achieve the purpose of analyzing and learning the latent information among parameters. Through the use of this technique, downstream tasks will be able to fine-tune and better suit the objective function, increasing the forecast’s accuracy. Compared with simulation data and open-source datasets, this paper uses the real flight data recorded by aircraft data acquisition systems. This implies that the real vibration states of aero-engines can be learned and built. And from this, fairly practical conclusions can be reached. The result shows that it is feasible to forecast the vibration signal of aero-engines. This means that not only is that the first time series forecasting application of Transformer models that has a pre-training mechanism with masked code, but it also takes the lead in exploring the feasibility of vibration signal forecast in the aero-engine area. In addition, the possibility of forecasting in different types of aero-engines is also tested. Finally, to make our theories more reasonable and convincing, experiments on different aero-engine states involving the transition state and the steady state are carried out. |
20,902 | Please write an abstract with title: Analysis of the Influence of Anatomical Features of Human Chest Phantom for Investigation of Bronchial Diseases, and key words: Microwave measurement, Electromagnetic scattering, Phantoms, Estimation, Microwave devices, Thorax, Diseases. Abstract: In this paper the estimation of influence of anatomical features of the thorax phantom on the result of diagnosis of bronchial diseases. Diagnostics is carried out by measuring the transmission coefficient of microwave signals through the chest model. |
20,903 | Please write an abstract with title: Deep Reinforcement Learning Automatic Landing Control of Fixed-Wing Aircraft Using Deep Deterministic Policy Gradient, and key words: Aircraft, Aerospace control, Atmospheric modeling, Neural networks, Aerodynamics, Computational modeling, Training. Abstract: Landing phase remains to be one of the most crucial and difficult tasks to achieve among the flight envelope of an aircraft. The proof-of-concept controller in this research implemented the use of DDPG (Deep Deterministic Policy Gradient), a DRL (Deep Reinforcement Learning) approach in attempt to find policies of aircraft landings given designed requirements, or rewards. This research provided new methods in reward shaping, or reward engineering used during training and the investigation of the effects of hyperparameters and different network topologies of Neural Networks in training of aircraft landing control. The results of outer loop control and direct control in this research using DDPG on aircraft landing, with comparisons of numerous baseline and Neural Network approaches, proves the ability and potential of such DRL method, and is validated in numerous wind disturbance conditions, which demonstrated the robustness of DDPG agent. It is also found that besides the ability of DDPG agents to develop control policies for aircraft landings, such method provides insights of the controls and states of aircraft during landing, enabling guidelines of the flight characteristics of the aircraft in landing for pilots or design of controllers. |
20,904 | Please write an abstract with title: Old is Gold: Integrating Older Workers in CSCW, and key words: Gold, Employment, Collaborative work, Collaborative software, Aging, Usability, Collaborative tools, Productivity, Visualization, Human computer interaction. Abstract: The tradition of a worker who retires by age 65 is being replaced by a trend of longer periods of employment, leading people to believe that an aging workforce will be a major social transformation of this century. With the proliferation of collaborative tools in workplace settings, we posit that it is essential to address the unique characteristics of older workers when designing groupware. In this paper, we marshal literature from adult learning, training, and work to articulate the unique assets and competencies of older workers, notably: knowledge and experience, adeptness in social group dynamics, and finely tuned strategies for improving group performance and productivity grounded in prior experiences. Further, we argue that the CSCW community should leverage these opportunities to support the expanding older workforce with groupware. We describe a synthetic approach to study how we might best support older workers in workplace settings and outline design implications for CSCW. |
20,905 | Please write an abstract with title: Combining hands-on, spreadsheet and discrete event simulation to teach supply chain management, and key words: Discrete event simulation, Supply chain management, Computational modeling, Computer simulation, Vehicles, Manufacturing systems, Supply chains, Teamwork, Problem-solving, Business. Abstract: This paper describes the effect of combining hands-on simulation with spreadsheets and discrete event simulations. These tools enhance the student learning process of supply chain management principles. Active, hands-on learning is one of the most effective types of learning but is very time consuming. Supplementing it with computer simulation enhances the hands-on learning to cover more material in less time making an efficient and effective learning experience. |
20,906 | Please write an abstract with title: On Spectrum Sharing for Pulse-Doppler Radar and OFDM Communications, and key words: Sensitivity, OFDM, Radar detection, Interference, Receivers, Thermal noise, Radar signal processing. Abstract: Radar receivers must be extremely sensitive to detect faint target signatures. To this end pulse-Doppler processing of pulse compression waveforms integrates faint target echoes across multiple pulses by matching to the Doppler shift of target returns. Therefore, the combination of receiver sensitivity and exploitation of the target return frequency structure implies that radar signal processing will be sensitive to structured interference, such as that from communications systems. To explore this sensitivity, we examine the impact of a popular communications waveform, orthogonal frequency division multiplexing (OFDM), on the output of pulse-Doppler signal processing. Understanding the impact of cross-function interference will improve requirements generation for both dual-function and shared spectrum systems. |
20,907 | Please write an abstract with title: Customizing the technology roadmapping approach, and key words: Business, Strategic planning, Process planning, Technology management, Milling machines, Power engineering and energy, Power generation economics, Collaboration, Transmission line measurements, Market opportunities. Abstract: Technology roadmapping is a powerful and flexible technique for supporting strategic planning in a wide range of situations. The approach must generally be customized to suit the particular application, in terms of both architecture and process. This paper highlights some of the key learning that has emerged about how to customize the roadmapping method, based on more than 35 applications of the T-plan 'fast start' approach, which aims to economically initiate roadmapping in organizations. Customization requires careful planning, focused on a collaborative design activity that brings together both application and process domain knowledge. |
20,908 | Please write an abstract with title: Dynamic Deep Learning Algorithm (DDLA) for Processing of Complex and Large Datasets, and key words: Deep learning, Handwriting recognition, Speech analysis, Machine learning algorithms, Heuristic algorithms, Learning (artificial intelligence), Feature extraction. Abstract: Nowadays, deep learning (DL) is blueprint for the machine learning (ML). Compare with NL, DL is most efficient, time and with low cost There are no limitations for the learning approaches in DL. DL algorithms can extract high-quality of features based on the dataset provided. Due to the fast development in internet technology, huge data is started processing by dividing according to the requirements. DL algorithms are more compatible for processing of huge and complex datasets such as pattern matching, recognition of handwriting, recognition of speeches, analysis of stock markets and many more. DL has more advancement on various applications and this will solve various issues in complicated pattern applications. Previously, datasets such as handwritten is used to find the accurate result with the Ensemble novel classifier (ENC). But this not worked up to the mark. In this paper, dynamic deep learning algorithm (DDLA) is designed and developed to process the complicated and complex datasets. This is the combination of Auto Encoder (AE) and Adaptive Convolutional neural network (A-CNN). Experimental results show the performance of the EDDLA with ENC. |
20,909 | Please write an abstract with title: Electric Field Distribution within 220 kV Outdoor Cable Terminals Considering the Solidification of Silicone Oil under Cold Conditions, and key words: Temperature distribution, Power cables, Electric breakdown, Oils, Oil filled cables, Power cable insulation, Conductors. Abstract: Outdoor Oil-filled cable terminals play an important role in transmission and transformation network, but its frequent explosion and disintegration accidents in cold weather bring great risks to the stable operation of power system. So in this paper, the electric field-temperature-fluid multi-physical fields simulation model of 220 kV oil-filled cable terminals was built. Based on the phase transformation principle, the dynamic solidification process of the insulating silicone oil was analyzed, and the electric field distortion of cable terminal under different solidification forms of silicone oil was compared. The results show when the interfacial gap appears near the stress cone, the electric field distortion is serious, and the degree of distortion increases with the decrease of the distance from the semi-conductive silicone rubber of stress cone, which is easy leading to the discharge breakdown accident. To a certain extent, the analysis results reveal the failure mechanism of oil-filled cable terminals burst breakdown and disintegration under cold conditions, and also provide theoretical support for material selection optimization and fault risk assessment of high voltage oil-filled cable terminals. |
20,910 | Please write an abstract with title: Design of Virtual Reality Reach and Grasp Modes Factoring Upper Limb Ergonomics, and key words: Task analysis, Three-dimensional displays, Virtual reality, Usability, Ergonomics, Human factors, Games. Abstract: Successfully performing tasks in virtual environments requires effective interactions between the user and the environment. Virtual reality technology is currently providing consumer-level devices that are being worldwide adopted, thus increasing the user install base. However, the technology presents ‘one-size-fits-all’ solutions that do not account the high variability of users who now have access to it. Virtual reality controllers can be difficult to operate and may fail to map real-world interactions. Efforts on improving human factors have led to custom-made user input devices factoring ergonomics for increasing task completion effectiveness. In this paper, we present a preliminary study on usability, engagement and task completion of two interactive modes that factor the upper limb ergonomics against a normal mode for reaching and grasping objects. Preliminary results from nine participants reaching objects on a table suggest that factoring upper limb ergonomics increase usability, engagement and task success rate. |
20,911 | Please write an abstract with title: A multi-level of abstraction systems engineering process model for Turkish space program, and key words: Systems engineering and theory, Space technology, NASA, Databases, Defense industry, Research and development, Appropriate technology, Humans, Solids, Cost function. Abstract: For some time, there has been a strong will to start a national space program in Turkey. However, when technological, financial and human resources of Turkey are considered, Turkish Space Program (TSP) appears to be a challenge for the nation. To commit to achieve such a challenging goal, a solid systematic approach to all aspects of the space program must be devised and thoroughly applied. In this paper, we developed a systems engineering process model to apply throughout the total space program at each level of abstraction from the national level to component level. Furthermore, the evaluation criteria incorporated into national level is given, a set of systems engineering activities needed to manage the total space program is defined and some tools like total work breakdown structure and knowledge-base growth model to define the scope of the national space program is explained. As a conclusion, it is emphasized further that allocation of each element of the space program to relevant national organizations according to their capabilities is crucial for the success of the national space program. |
20,912 | Please write an abstract with title: Effect of High Temperature and High Humidity Environment on Adhesion Strength of High Tg Epoxy Resin and Copper Joint, and key words: Adhesives, Epoxy resins, Humidity, Aging, Behavioral sciences, Copper, Surface cracks. Abstract: In this study, the Cu joint with a new high Tg epoxy resin was used as the research object. Tensile test, fracture surface observation and XPS analysis for fracture surface were performed using Cu/resin joints after high temperature and high humidity aging treatment under different conditions. The effect of aging on the adhesion strength and fracture mode of the Cu/resin joint was investigated. The analyzed results indicated that the adhesion strength of Cu/resin joint decreased with an increase in the aging time and aging temperature. Fracture mainly occurred at the Cu/resin and partially occurred at the Cu oxide formed in the surface of Cu. |
20,913 | Please write an abstract with title: Frequency offset correction for PCC-OFDM with overlapping symbol periods, and key words: Performance analysis, Autocorrelation, Frequency domain analysis, Frequency estimation, OFDM modulation, Demodulation, Power engineering and energy, Modulation coding, Intersymbol interference, Bandwidth. Abstract: In this paper we analyze the performance of a PCC-OFDM system under the environment of frequency offset. And a method using shift auto-correlation to correct the frequency offset is presented. Because of the small out-of-band power of PCC-OFDM, only four or six super subcarriers (SSC) are used for transmit synchronous information. The essential ideal of this method is based on the independence of the symbol being transmitted. But when frequency offset exist the demodulated symbol is correlated with each other. And the correlation degree depends on the relative frequency offset. Simulation results show that it is an effective way to estimate frequency offset. |
20,914 | Please write an abstract with title: Using Computer Vision to Recognize Defects on the Surface of Hot-rolled Steel, and key words: Surface cleaning, Training, Power engineering, Image recognition, Databases, Neural networks, Product design. Abstract: The problem of recognizing defects on the surface of hot-rolled steel is quite old, but technology has only recently reached a sufficient level to enable automation of this process. One of the most suitable methods is applying convolutional neural networks (CNN). We selected the Northeastern University surface defect database, which is a dataset of the most identified cases of hot rolled defects, as the qualitative dataset for network training. This article presents CNN models to recognize 6 defects with an accuracy of 93.59% and 6 defects and images of a clean surface with an accuracy of 92.31%. The recognition time was 0.001384±5% seconds for all samples. As well, program give recommendations based on the most common defects of a particular type. |
20,915 | Please write an abstract with title: Waveguide Bragg Grating Optical MEMS Accelerometer based on Circular Diaphragm, and key words: Bragg gratings, Micromechanical devices, Accelerometers, Integrated optics, Temperature dependence, Sensitivity, Vibration measurement. Abstract: Design and analysis of optical MEMS accelerometer based on waveguide Bragg grating integrated with circular diaphragm with embossed centre mass for vibration measurement are presented in this paper. A waveguide Bragg grating is positioned on the top surface of the embossed proof-mass to maximize strain sensitivity. A reference grating on the substrate is used to compensate for the temperature dependence of Bragg peak. Due to excellent linear response, sensitivity of −180 pm/kG and a natural frequency of 4.8 kHz, the proposed accelerometer is suitable for vibration measurement. |
20,916 | Please write an abstract with title: Invited Speech: Data Analytics and (Interpretable) Machine Learning for Social Good, and key words: Data analysis, Social networking (online), Education, Machine learning, Medical services, Games, Explosions. Abstract: In recent years, in all contexts of our lives, we have seen a real explosion of data. From a research standpoint, data processing needs have increasingly become common in an ever growing number of applications, with potential benefits not only in our work but also in our lives: the need not just to acquire, store and perform modest operational tasks but also to analyze and properly interpret data. In this talk, we consider some of the hottest and most demanding scenarios in our daily lives, which include: medical analytics to improve the quality of life of the elderly and reduce health care expenses; social network analytics for enhancing cultural heritage dissemination; exploration of work datafication potential in improving the management of human resources (HRM); game analytics to foster Computational Thinking in education. We describe the recent findings we have obtained in our research in these contexts using the latest technology for data analytics, including interpretable machine learning, and discuss the consequences and directions for the future. |
20,917 | Please write an abstract with title: The Mars airplane: a credible science platform, and key words: Mars, Airplanes, Extraterrestrial measurements, Space technology, Spatial resolution, Atmospheric measurements, Aircraft propulsion, Costs, Planetary orbits, Planets. Abstract: Significant technology advances have enabled planetary aircraft to be considered as viable science platforms. Such systems fill a unique planetary science measurement gap, that of regional-scale, near-surface observation, while providing a fresh perspective for potential discovery. Recent efforts have produced mature mission and flight system concepts, ready for flight project implementation. This work summarizes the development of a Mars airplane mission architecture that balances science, implementation risk and cost. Airplane mission performance, flight system design and technology readiness are described. |
20,918 | Please write an abstract with title: Survey of decentralized control methods for large scale systems, and key words: Distributed control, Large-scale systems, Control systems, Power generation economics, Military computing, Optimal control, Modems, Laboratories, Power system economics, Costs. Abstract: This paper surveys the control theoretic literature on decentralized and hierarchical control, and methods of analysis of large scale systems. |
20,919 | Please write an abstract with title: Crack Profile Reconstruction from Eddy Current Signals with an Encoder-Decoder Convolutional Neural Network, and key words: Image reconstruction, Inverse problems, Decoding, Convolution, Convolutional neural networks, Training, Impedance. Abstract: Eddy current testing (ECT) is one of the most popular Nondestructive Testing (NDT) techniques, especially for conductive materials. Reconstructing the crack profile from measured EC signals is one of the main goals of ECT. This task is highly challenging, as the EC signals are nonlinear responses resulted from the presence of cracks, and reconstructing the crack profile requires establishing the forward model of the nonlinear electromagnetic dynamics and solving its inverse problem, which is an ill-posed numerical optimization problem. Instead of solving the inverse problem numerically, we propose to directly learn the inverse mapping from EC signals to crack profiles with a deep encoder-decoder convolutional neural network named EddyNet. EddyNet is trained on a set of randomly generated crack profiles and the corresponding simulated EC responses generated from a realistic forward model. On the held-out test data, EddyNet achieved a mean absolute error of 0.207 between predicted profiles and ground truth ones. Qualitatively, the geometries of predicted profiles are visually similar to the ground truth profiles. Our method greatly reduces the usual reliance on domain experts, and the reconstruction is extremely fast both on GPUs and on CPUs. The source code of EddyNet is released on https://github.com/askerlee/EddyNet. |
20,920 | Please write an abstract with title: Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds, and key words: Point cloud compression, Laser radar, Rain, Clouds, Object detection, Sensor phenomena and characterization, Reliability. Abstract: LiDAR sensors used in autonomous driving applications are negatively affected by adverse weather conditions. One common, but understudied effect, is the condensation of vehicle gas exhaust in cold weather. This everyday phenomenon can severely impact the quality of LiDAR measurements, resulting in a less accurate environment perception by creating artifacts like ghost object detections. In the literature, the semantic segmentation of adverse weather effects like rain and fog is achieved using learning-based approaches. However, such methods require large sets of labeled data, which can be extremely expensive and laborious to get. We address this problem by presenting a two-step approach for the detection of condensed vehicle gas exhaust. First, we identify for each vehicle in a scene its emission area and detect gas exhaust if present. Then, isolated clouds are detected by modeling through time the regions of space where gas exhaust is likely to be present. We test our method on real urban data, showing that our approach can reliably detect gas exhaust in different scenarios, making it appealing for offline pre-labeling and online applications such as ghost object detection. |
20,921 | Please write an abstract with title: Person following and mobile camera localization using particle filters, and key words: Cameras, Particle filters, Mobile robots, Robot kinematics, Face detection, Robot sensing systems, Machine vision, Histograms, Service robots, Humans. Abstract: This paper investigates visual head tracking and person following with a mobile robot. The position of the mobile robot is determined during person following on the basis of laser readings. The tracking of the head is done using a particle filter built on cues such as color, depth, gradient and shape. The appearance of the head is represented by an ellipse with color histogram in its interior and an intensity gradient along the ellipse boundary. The size of the ellipse is computed from a stereo pair. The localization of the moving camera is achieved using a particle filter framework. A particle filter responsible for localization utilizes laser data obtained from sensor and data obtained from a map representing the environment. Current laser readings are compared with scans coming from a global map in respect of histogram intersection. Experimental results, where a person moves facing the cameras, the robot follows the person and simultaneously determines its position, demonstrate the feasibility of the tracking as well as the localization method. |
20,922 | Please write an abstract with title: Integrity Heuristic as Tie-Breaking for Classical Task Planning, and key words: Task Planning, Automated Planning, Heuristic Search-Based Planning, Search Heuristic, FF Heuristic. Abstract: There is a growing interest in automated planning (also known as AI planning) as a promising technique for autonomous agents, such as robots, to achieve a given goal (mission) by devising their own action plans. In AI planning as heuristic search, informative and fast heuristics are crucial for performance. Recently, AI planning systems using state-of-the-art heuristics have made remarkable progress compared to the past, mostly achieved by using a combination of multiple heuristics. In this paper, we propose a novel search heuristic called the integrity heuristic, which is based on the popular FF heuristic. The integrity heuristic is used in conjunction with the FF heuristic through a tie-breaking mechanism to improve the performance of planners. In this paper, we present the theoretical grounds for defining the integrity of states and empirically verify our integrity heuristic by implementing a greedy best-first search algorithm using the FF heuristic and our integrity heuristic, and show that the proposed integrity heuristic leads to performance improvement. |
20,923 | Please write an abstract with title: Application of a multi-DOF ultrasonic servomotor in an auditory tele-existence robot, and key words: Servomotors, Robots, Torque, Motion control, Noise generators, Stators, Neck, Delay effects, Springs, Trajectory. Abstract: A multi-degree-of-freedom (DOF) ultrasonic motor can rotate in three DOFs and does not generate noise. In addition, with an appropriate preloading mechanism, it can generate high torque for its size. The multi-DOF ultrasonic motor is, therefore, anticipated for use as a servomotor in the next generation of robots. However, for several reasons, there have been few applications of multi-DOF ultrasonic motors. One reason is the difficulty in designing a proper preloading mechanism for the motor and the limitation of the size of the stators. Another is the difficulty in developing a control algorithm, due to the motor's complex and changing dynamical characteristics, and the serious jaggy motion caused by its very quick response. This paper proposes a preloading mechanism and control algorithm for a multi-DOF ultrasonic motor, considering the motor's application to an actual auditory tele-existence robot, TeleHead. TeleHead is an elaborate dummy head robot that has a 3-DOF neck mechanism. The proposed methods achieve smooth and fast multi-DOF rotating motion of the dummy head with little time delay. In the preloading method, tensioned springs generate high preloading force and make up for the lack of torque by compensating for the resistance torque generated by the inclining motion of the dummy head. In the control algorithm, high-DOF motion is managed by high-frequency switching of the rotating axis, and smooth and quick trajectory tracking motion is achieved by introducing feed-forward control using an inverse model, with multiresolution acquired by feedback-error learning. Experimental results verify the high performance of these methods. |
20,924 | Please write an abstract with title: UWB mixed-signal transform-domain receiver front-end architectures, and key words: RAKE receivers, Sampling methods, OFDM, Matched filters, Analog-digital conversion, Digital communication, Computer architecture, Ultra wideband technology, Communication systems, Bandwidth. Abstract: This paper provides the fundamental structures of a family of mixed-signal receivers constructed from the coefficients obtained from analog to digital conversion (ADC) of signal expansions of the received continuous-time signal. The receiver structures presented here are motivated from the increasing demand of high sampling rates required in broadband communication systems. To this end, this family of receivers efficiently parallelizes the ADC structure through the signal projection of the received signal onto a set of basis functions. We show that the sampling rate requirements are relaxed as the number of basis functions is increased, which introduces a trade-off between complexity and sampling rate. An example with a multiband ultra-wideband orthogonal frequency division multiplexing receiver is presented, which shows practical degrees of the trade-off between complexity and sampling rate reduction. Additionally, although the paper focuses in the design of linear digital receivers (matched filter, RAKE, MMSE, etc), an example with a nonlinear receiver based on transmitted-reference signaling is also provided. |
20,925 | Please write an abstract with title: Three-Phase Interleaved Boost Converter with Fault-Tolerant Control Strategy for Renewable Energy System Applications, and key words: Location awareness, Fault diagnosis, Fault tolerance, Renewable energy sources, Fault detection, Simulation, Fault tolerant systems. Abstract: This paper proposes a fault-tolerant control strategy for a three-phase interleaved boost converter. The input current and only one inductor current are used to compare with the fault detection signal for the proposed fault detection and failed switch localization method. Once the fault is detected and localized, the reconfiguration control strategy is applied by shifting the angle between the remaining switching signals. The simulation results show that the three-phase interleaved boost converter with the proposed fault-tolerant control strategy can continue to operate effectively under fault operating conditions |
20,926 | Please write an abstract with title: Broadband magnetoelectric dipole antenna for 5G base station applications, and key words: Base stations, Antenna theory, 5G mobile communication, Dipole antennas, Magnetoelectric effects, Voltage, Bandwidth. Abstract: An antenna with a simple structure for 5G base station applications is proposed in this paper. It consists of two pairs of magneto-electric dipoles fed by a Γ -shaped feedline. The proposed antenna has 54% impedance bandwidth from 2.93 to 5.10 GHz, covering 5G n78 (3.3 to 3.8 GHz) and n79 (4.8-5 GHz) band, voltage standing wave ratio (VSWR)<1.7. |
20,927 | Please write an abstract with title: Spatiotemporal Dynamics of Actin Cytoskeleton in the Sonoporated HUVECs, and key words: Ultrasonic imaging, Medical treatment, Acoustics, Plasmas, Spatiotemporal phenomena, Synchronization. Abstract: Sonoporation-based therapy shows great potential for clinical application. Actin cytoskeleton directly interconnects with plasma membrane and may be affected by sonoporation. This study aims to understand what the spatiotemporal dynamics of actin cytoskeleton is in the sonoporated plasma membrane. 1.5-MHz ultrasound with 13.33 µs length and 0.70 MPa peak negative pressure was applied to initiate sonoporation. It was observed the dynamics of actin cytoskeleton and plasma membrane at single-cell level. We found: 1) The dynamics of the disrupted actin cytoskeleton caused by sonoporation included three phases: expansion, contraction and resealing, and recovery. 2) The dynamics of the disrupted actin cytoskeleton was almost synchronized with that of the perforated plasma membrane in the reversibly sonoporated cells. 3) The closing time of the perforated plasma membrane was faster than the resealing time of the disrupted actin cytoskeleton in moderately sonoporated cells. These findings provide new insight in the resealing and recovery of the sonoporated cells. |
20,928 | Please write an abstract with title: Evaluation of Fault Tolerant Online Scheduling Algorithms for CubeSats, and key words: Task analysis, Fault tolerance, Fault tolerant systems, Schedules, Processor scheduling, Scheduling. Abstract: Small satellites, such as CubeSats, have to respect time, spatial and energy constraints in the harsh space environment. To tackle this issue, this paper presents and evaluates two fault tolerant online scheduling algorithms: the algorithm scheduling all tasks as aperiodic (called ONEOFF) and the algorithm placing arriving tasks as aperiodic or periodic tasks (called ONEOFF & CYCLIC). Based on several scenarios, the results show that the performances of ordering policies are influenced by the system load and the proportions of simple and double tasks to all tasks to be executed. The “Earliest Deadline” and “Earliest Arrival Time” ordering policies for ONEOFF or the “Minimum Slack” ordering policy for ONEOFF & CYCLIC reject the least tasks in all tested scenarios. The paper also deals with the analysis of scheduling time to evaluate real-time performances of ordering policies and shows that ONEOFF requires less time to find a new schedule than ONEOFF & CYCLIC. Finally, it was found that the studied algorithms perform well also in a harsh environment. |
20,929 | Please write an abstract with title: Classification of Cuisines from Sequentially Structured Recipes, and key words: Support vector machines, Logistics, Machine learning, Recurrent neural networks, Training, Dairy products. Abstract: Cultures across the world are distinguished by the idiosyncratic patterns in their cuisines. These cuisines are characterized in terms of their substructures such as ingredients, cooking processes and utensils. A complex fusion of these substructures intrinsic to a region defines the identity of a cuisine. Accurate classification of cuisines based on their culinary features is an outstanding problem and has hitherto been attempted to solve by accounting for ingredients of a recipe as features. Previous studies have attempted cuisine classification by using unstructured recipes without accounting for details of cooking techniques. In reality, the cooking processes/techniques and their order are highly significant for the recipe's structure and hence for its classification. In this article, we have implemented a range of classification techniques by accounting for this information on the RecipeDB dataset containing sequential data on recipes. The state-of-the-art RoBERTa model presented the highest accuracy of 73.30% among a range of classification models from Logistic Regression and Naive Bayes to LSTMs and Transformers. |
20,930 | Please write an abstract with title: Preprocessing FMRI Data In SPM12, and key words: Image segmentation, Smoothing methods, Software packages, Wireless networks, Pipelines, Imaging, Functional magnetic resonance imaging. Abstract: Functional magnetic resonance imaging (fMRI) has ended up the most famous technique for imaging brain functions. Currently, there is a giant range of software packages for the analysis of fMRI data, such as AFNI, SPM, Free Surfer, FSL, fMRIPrep and Workbench. In this work, we propose an fMRI preprocessing on SPM applied to ABIDE II database and we evaluate this processing by applying an MLG. |
20,931 | Please write an abstract with title: Biological effects of low intensive mm-waves, and key words: Helium, Organizing, IEEE catalog. Abstract: This paper discusses the basic experimental laws of nonthermal millimeter wave interaction with various biological objects. These mm-waves are greatly absorbed by water and aqueous media. Microwave radiation is vastly absorbed by free molecules of water. It can change the properties of water both in the outer and inner medium in cells. Under the influence of mm-waves in liquid, convection takes place. Many biochemical processes including membrane processes are sensitive to the medium stirring media. The difference in the absorption capacity of bound and unbound water molecules stimulates non-additivity of microwave radiation absorption by aqueous solutions. This became the basis of the new trends in study of intermolecular interaction in solutes and solvents. |
20,932 | Please write an abstract with title: An Algorithm for Azimuth Ambiguities Detection in SAR Images Using Faster-RCNN, and key words: SAR, azimuth ambiguities, Faster-RCNN network, mutual information. Abstract: In spaceborne synthetic aperture radar (SAR), finite sampling of azimuth Doppler signals will lead to azimuth ambiguities. Similar to the main signal, azimuth ambiguities will reduce the accuracy of target detection. Many suppression methods were put forward with good results. But few people paid attention to azimuth ambiguities' auto recognition and usually mark the ambiguities manually. Based on the research of azimuth ambiguities, for ships on the sea, this paper puts forward a new method to detect and mark azimuth ambiguities automatically in SAR images using Faster-RCNN network of deep learning and mutual information (MI). Based on the Gaofen-3 spaceborne SAR images, the maritime boat dataset (MBD) is conducted, including ships of different resolutions. The Faster-RCNN Network is trained and tested using MBD to detect boats on the sea. According to the azimuth ambiguity distance formula and the mutual information between two areas, the ambiguity will be detected. Experiment results shows this method is feasible. |
20,933 | Please write an abstract with title: Application of narrowband tunable THz-radiation for biomedical sensing, and key words: Narrowband, Resonance, Optical waveguides, Resonant frequency, Surface waves, Optical surface waves, Molecular biophysics, Absorption, Biosensors, Radiation detectors. Abstract: The use of narrowband tunable THz radiation for biomedical sensing applications is discussed. Different THz sensors utilizing evanescent THz fields are presented including waveguides and photonic bandgap structures. |
20,934 | Please write an abstract with title: MPI-IO/GPFS, an Optimized Implementation of MPI-IO on Top of GPFS, and key words: Prototypes, File systems, Performance gain, Government, Laboratories, Message passing, Prefetching, Benchmark testing, Machinery, Parallel programming. Abstract: MPI-IO/GPFS is an optimized prototype implementation of the I/O chapter of the Message Passing Interface (MPI) 2 standard. It uses the IBM General Parallel File System (GPFS) Release 3 as the underlying file system. This paper describes optimization features of the prototype that take advantage of new GPFS programming interfaces. It also details how collective data access operations have been optimized by minimizing the number of messages exchanged in sparse accesses and by increasing the overlap of communication with file access. Experimental results show a performance gain. A study of the impact of varying the number of tasks running on the same node is also presented. |
20,935 | Please write an abstract with title: Non linear fractal impedance model of an electrode-electrolyte interface, and key words: Fractals, Impedance, Immune system, Circuits, Electric resistance, Solid modeling, Charge transfer, Electrodes, Nonlinear equations, Frequency. Abstract: We present a non-linear distributed-parameter fractal model circuit of an electrode-electrolyte interface. The circuit includes a charge transfer resistance Rtc, which is deduced theoretically from the flat electrode Butler-Volmer equation. This circuit explains the fact that when small amplitude signals (<10 mV) of constant frequency are applied, the series equivalent resistance Req behaves linearly with the voltage, but for voltages higher than a certain limit a nonlinearity appears which is manifested by the DC component of the fractal net Fourier spectrum analysis. |
20,936 | Please write an abstract with title: Application of nonlinear Fabry-Perot interferometer for flattening of gain spectrum of erbium doped fiber amplifier with double pumping, and key words: Fabry-Perot interferometers, Erbium, Doped fiber amplifiers, Optical interferometry, Wavelength division multiplexing, Diffraction gratings, Optical fiber networks, Erbium-doped fiber amplifier, Optical filters, Optical pumping. Abstract: Optical fibre amplifiers used in communication systems with wavelength division multiplexing (WDM) should have a gain spectrum with the nonuniformity not exceeding the units of dB for optical networks and the tenth and even the hundredth of dB for long-haul lines. We propose a new type of the dynamic gain equalizing filter (GEF). Its functioning is based on the use of nonlinear Fabry-Perot interferometer. The proposed GEF allows to obtain the flat gain spectrum of such amplifier in the range of 1534-1561 nm at pumping power of about 5 mW and additional loss of about 0.9 dB |
20,937 | Please write an abstract with title: MEMS switchable interdigital coplanar filter, and key words: Micromechanical devices, Tunable circuits and devices, Switches, Electrodes, Capacitors, Microwave filters, Biomembranes, Capacitance, Microelectromechanical systems, Frequency. Abstract: This paper presents a tunable interdigital coplanar filter with tapped-line feedings. Microelectromechanical systems capacitors are used as a high contrast capacitive switch between a quarter-wavelength resonator and an open-ended stub to perform the frequency shift. A two-pole tunable filter with a 13% relative bandwidth has been designed, fabricated, and measured. The center frequency can be switched from 18.5 to 21.05 GHz with low return losses (less than 15 dB) and low insertion losses (3.5 dB). |
20,938 | Please write an abstract with title: Full band Monte Carlo analysis of the uniaxial stress impact on 4H-SiC high energy transport, and key words: Performance evaluation, Degradation, Tensile stress, Monte Carlo methods, Silicon carbide, Packaging, Electron mobility. Abstract: SiC is expected to be the next-generation semiconductor material especially for power devices, and some have been put into practical use. However, its stress response has not been completely elucidated, and there are concerns about performance degradation by mechanical stress in the wafer process and packaging. On the other hand, stress engineering may improve its performance.So, in this paper, we estimate the uniaxial stress impact on 4H-SiC by combination of first principal calculation and full-band Monte Carlo simulation. As a result, it was found that the stress dependence of the impact ionization coefficient of 4H-SiC is extremely small, and the risk of breakdown voltage degradation is low by small stress in manufacturing process. On the other hand, the electron mobility increases when tensile stress is applied, and it is expected that the device on-resistance will be reduced by stress engineering. |
20,939 | Please write an abstract with title: Design and Experimental Validation of Dynamic Model of Multi Robot System, and key words: Dynamics, Kinematics, Mathematical models, Software, Trajectory, Multi-robot systems, Task analysis. Abstract: In a multi-robot system, following the leader is a challenge since the robot must detect the leader first and then responding accordingly. So, in this paper, the motion control of a group of robots is achieved based on the dynamic model of the collective motion behavior of the aggregation of Artemia, a creature that follows a spotlight. Modeling the collective behavior of Artemia that follows the spotlight will be inspiring for modeling a collective of robots that achieves the same tasks. The model is based on the newton equation and its parameters will be calculated directly from the features of the multi-robot system. Several experiments will be implemented to check the behavior of the proposed system, which is divided into four experiments according to four trajectories, the straight line, circle, zigzag and complex path pattern. The V-rep software is used to derive and simulate the proposed design, also test its performance. |
20,940 | Please write an abstract with title: An Ensemble Intrusion Detection Method for Train Ethernet Consist Network Based on CNN and RNN, and key words: Intrusion detection, Ethernet, Topology, Recurrent neural networks, Rail transportation, Feature extraction, Task analysis. Abstract: The train Ethernet Consist Network (ECN) undertakes the task of transmitting critical train control instructions. With the increasing interactions between the train network and the outside environment, masses of network intrusions are threatening the data security of railway vehicles. The intrusion detection system has been proved to be an efficient method to detect network attacks. In this paper, a novel ensemble intrusion detection method is proposed to defense network attacks against the train ECN, in particular IP Scan, Port Scan, Denial of Service (DoS) and Man in the Middle (MITM). Thirty-four features of different protocol contents are extracted from the raw data generated from our ECN testbed to form a specific dataset. A data imaging method and a temporal sequence building method are designed to optimize the dataset. Six base classifiers are built based on several typical convolutional neural networks and recurrent neural networks: LeNet-5, AlexNet, VGGNet, SimpleRNN, LSTM and GRU. A dynamic weight matrix voting method is proposed to integrate all the base classifiers. The proposed method is evaluated based on our dataset. The experiment results show that our method has an outstanding ability to aggregate advantages of all the base classifiers and achieves a superior detection performance with the accuracy of 0.975. |
20,941 | Please write an abstract with title: Influence of Structural Parameters of Voltage Sensing Unit in Switchgear on Distribution Characteristics of Spatial Stray Capacitance, and key words: Analytical models, Voltage measurement, Switchgear, Voltage transformers, Switches, Capacitance, Transformers. Abstract: Among the medium and high voltage switchgear equipment, capacitive voltage transformer (CVT) is the most widely used power equipment in voltage measurement. The distribution characteristics of stray capacitance in the equipment space are directly related to the accuracy of equipment measurement. This paper analyzes the working principle of the voltage sensing unit, designs the structural model of the voltage sensing plate and the shielding plate, calculates the spatial capacitance distribution value when the axial length of the voltage sensing plate and the shielding plate changes, and reveals the influence of the structural change of voltage sensing unit in the switchgear on the distribution characteristics of spatial stray capacitance. |
20,942 | Please write an abstract with title: A new technique for solving pursuit-evasion differential games, and key words: State-space methods, Acceleration, Space exploration, Vehicles, Automatic control, Contracts, Equations. Abstract: A new method for finding the capture region and its internal structure is presented for a class of pursuit-evasion problems. In this technique, the optimal behavior is found for the two vehicles acting independently and then combined geometrically. The method is illustrated for the Problem of Two Cars. |
20,943 | Please write an abstract with title: Indoor Automated Vertical Farming Using The Concept Of Microgrid, and key words: Temperature sensors, Technological innovation, Planets, Force, Urban areas, Lattices, Microgrids. Abstract: Vertical cultivating is the metropolitan cultivating of organic products, vegetables and grains inside a structure in a city or metropolitan focus, in which floors are intended to oblige certain yields. This is a high-level degree of agribusiness and joins the procedure, collecting method, water the executives and harvest development. The Micro matrix framework uses the disseminated energy assets including the ordinary electric lattice and an all-around cutting edge and controlled roof sun powered cluster and by utilizing the control sensors, a cloud-associated, request side energy the executives programming stage, will be incorporated in the new framework, permitting the Micro network framework to deal with the sustainable power sources and control the energy spent. The framework will likewise be prepared to work in the island mode so the ranch stays controlled during sudden blackouts. During exceptionally high energy request period supply will be drawn from the framework in case the sun powered doesn't satisfy the energy needs and during periods were the energy request is low we can supply back to the matrix. This will permit a two-way correspondence between the shopper and the energy provider. The course of vertical cultivating is exceptionally robotized requiring sensors, screens and other controlling instruments to impersonate the outer conditions required by the light like light, temperature and other ecological conditions. |
20,944 | Please write an abstract with title: Travel time analysis of a new Automated Storage and Retrieval System, and key words: Storage automation, Cranes, Guidelines, Computer simulation, Throughput, Automatic control, Control systems, Logistics, Electrical equipment industry, Space exploration. Abstract: In conventional Automated Storage and Retrieval Systems (AS/RS), stacker cranes are used to deliver loads to the AS/RS racks and to retrieve loads from the racks. Stacker cranes travel simultaneously in the vertical and horizontal directions. However, the stacker cranes are inadequate for extra heavy loads. In this paper a new kind of Storage/Retrieval (S/R) mechanism is presented to handle such loads. Unlike stacker cranes, the new S/R mechanism has one vertical platform and N horizontal platforms to serve N tiers of an AS/RS rack. The vertical platform provides the vertical link among the tiers of the AS/RS rack, whereas the horizontal platforms transfer loads to the individual storage cells on a given tier. The operations of the vertical platform and the horizontal platforms may be independent and concurrent. In this paper, the design, operation and advantages of the new mechanism are presented. We present a travel-time model under the dwell point policy that the platforms remain where they are after completing a storage/retrieval operation. The model is validated by computer simulations. The results show that our model is reliable for the design and analysis of the new kind of AS/RS. We also present guidelines for the optimal design of a rectangular-in-time AS/RS rack with the new S/R mechanism. |
20,945 | Please write an abstract with title: Using a MISiC-FET sensor for detecting NH/sub 3/ in SCR systems, and key words: Diesel engines, Thyristors, Sensor systems, Combustion, Exhaust systems, Metal-insulator structures, Insulation, Silicon carbide, FETs, Insulator testing. Abstract: One way to decrease the emitted levels of NO/sub x/ from diesel engines is to add NH/sub 3/ in the form of urea to the exhausts after combustion. NH/sub 3/ will react with NO/sub x/ in the catalytic converter to form N/sub 2/ and water, which is called selective catalytic reduction (SCR). The amount of NH/sub 3/ added may be regulated through closed loop control by using an NH/sub 3/3 sensor. The MISiC-FET (metal insulator silicon carbide field effect transistor) sensor has previously been tested in this application and has been shown to be sensitive to NH/sub 3/. Here, the sensors have been further tested in engine SCR systems. Cross-sensitivity tests and studies concerning the influence of water vapor have been performed in the laboratory. The difference between Ir and Pt films, with regard to catalytic activity, has also been investigated. The sensors were found to be sensitive to ammonia in diesel engine exhausts. The addition of urea was computer controlled, which made it possible to add NH/sub 3/ in a stair-like fashion to the system that could be detected by the MISiC-FET sensors. The presence of water vapor was shown to have the largest effect on the sensors at low levels and the ammonia response was slightly decreased by a background level of NO/sub 2/. |
20,946 | Please write an abstract with title: Classification of single-trial neural responses to cutaneous stimulation, and key words: Neurons, Linear discriminant analysis, Histograms, Biomedical engineering, Computational efficiency, Testing, Sensor arrays, Electrodes, Plasma welding, Principal component analysis. Abstract: Given the response of a population of neurons to a set of stimuli (or events), classification methods have been used to determine which stimulus generated the response on a single-trial basis. Various linear and non-linear methods have been used to solve this classification problem with surprising little performance differences. We therefore developed a PSTH-based classification method with the aim of maximizing computational efficiency rather than classification performance. This method was tested by applying it to populations of neurons simultaneously recorded from the somatosensory cortex of the rat during cutaneous stimulation of the forepaw and the results were compared to linear discriminant analysis (LDA), which has been considered the "standard". This method performs at least as well as LDA and it is particularly efficient for complete cross-validation designs. |
20,947 | Please write an abstract with title: Optimization of diesel engine - synchronous alternator group, and key words: Diesel engines, Alternators, Relays, Temperature, Collaboration, Power measurement, Wounds, Power engineering and energy, Laboratories, Phase measurement. Abstract: The paper describes the findings of an experiment that is a result of close collaboration among four companies. The paper discusses the experiment on one locomotive by using a microprocessor-based relay, multiple function relay (MFR) SEL-701, for on-line measurement, control and optimization of a HEP (head end power) group. The HEP has a diesel engine, 810 HP/908 HP, 1800 rpm, and a double wound three-phase self-excited synchronous alternator, 625 kVA, 575 V. The HEP group is installed on the locomotive and supplies the electrical hotel power to the train's coaches. The relay SEL-701 (Schweitzer engineering laboratories) measures the diesel engine temperatures on 7 different points and the winding temperatures at 3 internal points, one per each phase. The SEL-701 monitors alternator output currents, voltages and controls one (or both) train lines when the diesel engine's hottest temperature equals the maximum admissible temperature. Amongst others the paper highlights the benefits derived by use of on-line measurements of the diesel engine before and after relocation of a pre-existent engine shutdown temperature probe. In addition, the paper discusses the decrease in the numbers of diesel engine shut downs due to the modified mode of protection and the increase in available electrical power supplied to the train lines together with the comparison of the HEP group efficiency before and after modification. |
20,948 | Please write an abstract with title: Industrial high temperature superconductors: perspectives and milestones, and key words: High temperature superconductors, Electrical equipment industry, Manufacturing industries, Superconducting cables, Power transmission, Conductors, Superconducting filaments and wires, Superconducting transmission lines, Testing, Power industry. Abstract: High Temperature Superconductors (HTS) are widely considered for large power applications used by industrial end-users and electric utilities. The prominent application areas include power transmission cables, electric motors, generators, current limiters, and transformers. The promising design concepts rely on HTS to be a flexible composite conductor, robust enough to handle an industrial environment. Currently, the most advanced manufacturing method for flexible composite conductor is the Bi-2223-OPIT, used by many organizations. Significant advances in HTS technology have been made, with average critical current performance above 115 A at 77 K which is equivalent to an engineering current density of 13.8 kA/cm/sup 2/. During the past 18 months, American Superconductor increased its HTS wire manufacturing capacity from 250 km to 500 km per year to meet the increased demand for development and demonstrations. While this level of quality and quantity enables impressive demonstrations of prototype power applications, it does not fully meet the requirements of commercial economic viability. Therefore, to further decrease wire price to $50/kA-m, American Superconductor is currently siting a new facility dedicated to the manufacturing of Bi-OPIT-2223 wire in quantities of 10000 km per year. Initial applications for this wire are power transmission cables, industrial motors and electrical generators. This paper will report on the performance and reliability testing of Bi-2223 tapes. We will discuss the electrical, tensile, compression, and fatigue testing results of tapes manufactured for specific key projects. Also, we will review mass availability of High Temperature Superconductors and we will report on technological and price/performance limitations to be overcome to increase the applicability of HTS in research and industrial devices and equipment. |
20,949 | Please write an abstract with title: Columnar diamond film coverage of vacuum arc erosion canyons on graphite, and key words: Vacuum arcs, Cathodes, Scanning electron microscopy, Plasma density, Substrates, Plasma confinement, Plasma devices, Plasma materials processing, Plasma sources, Atherosclerosis. Abstract: Vacuum arcs are generated on dense graphite materials with enhanced local plasma density leading to strong improvement in arc mobility and stability. Observations of cross sections of the arc canyon erosion trace reveals erosion craters covered with a porous columnar film having a diamond structure. Scanning electron microscope (SEM) images of this growth structure are presented at various resolutions. |
20,950 | Please write an abstract with title: Sampling Subjective Polygons for Patch-Based Deep Learning Land-Use Classification in Satellite Images, and key words: Training, Meters, Satellites, Sampling methods, Urban areas, Remote sensing, Deep learning. Abstract: Model generalization remains a key challenge in the analysis of large amounts of heterogeneous satellite image data. One major limiting factor in developing generalizable models, in the context of supervised learning, is the lack of high quality training datasets. A model's capacity to perform well on new data is often inhibited by imbalance and bias in the data that was used for training. This is especially a problem when using convolutional neural networks to classify urban land-use in satellite images. Notable dataset imbalance issues in this application include land-use type imbalance and image scene imbalance. To begin understanding these dataset imbalance problems in more detail, we develop and test a number of sampling methods for generating training image datasets from subjective training polygons for urban land-use classification. We investigate sampling at different point densities as a means to reduce content repetition and therefore content imbalance and bias in the training image dataset. |
20,951 | Please write an abstract with title: Secrecy Outage and Diversity Analysis of Multiple Cooperating Source-Destination Pairs, and key words: Wireless communication, Diversity methods, Security, Communication system security, Eavesdropping, Jamming, Antennas. Abstract: We study the physical-layer security of multiple source-destination (SD) pairs communicating within a wireless network in the face of an eavesdropper attacking the SD pairs. In order to protect the wireless transmission against eavesdropping, we propose a cooperation framework relying on two stages. Specifically, an SD pair is selected to access the total allocated spectrum using an appropriately designed scheme at the beginning of the first stage. The other source nodes (SNs) simultaneously transmit their data to the SN of the above-mentioned SD pair relying on orthogonal resources during the first stage. Then, the SN of the chosen SD pair transmits the data packets containing its own messages and the other SNs' messages to its dedicated destination node (DN) in the second stage. Finally, this dedicated DN will forward all the other DNs' data to the application center via the core network. We conceive a specific SD pair selection scheme, termed as the transmit antenna selection aided source-destination pair selection (TAS-SDPS). We continue by deriving the secrecy outage probability (SOP) expressions of both the TAS-SDPS conceived, as well as of the conventional round-robin source-destination pair selection (RSDPS) and of the conventional non-cooperative (Non-coop) schemes for comparison. Furthermore, we carry out the secrecy diversity gain analysis in the high main-to-eavesdropper ratio (MER) region, showing that the TAS-SDPS scheme is capable of achieving the maximum attainable secrecy diversity order. Additionally, we show that increasing the number of transmitting pairs will reduce the SOP, whilst increasing the secrecy diversity order of the TAS-SDPS scheme. It is demonstrated that the SOP of the TAS-SDPS scheme is better than that of the RSDPS and of the conventional Non-coop schemes. We also demonstrate that the secrecy diversity gain of the proposed TAS-SDPS scheme is $M$ times that of the RSDPS scheme in the high-MER region, where $M$ is the number of the SD pairs. |
20,952 | Please write an abstract with title: Detecting Stenosis Eustachian Tube Insufflation Sound Using Dynamic Time Warping, and key words: Eustachian tube, stenosis sound, health monitoring, dynamic time warping. Abstract: Because eustachian tube insufflation is auscultated only by the practicing doctor, the aeration sound of the eustachian tube is not recorded. Thus, the diagnosis is subjective and varies depending on the doctor, even for the same sound. The purpose of this study was to quantify the eustachian insufflation method and improve the objectivity and reliability of diagnosis. By quantifying the eustachian tube insufflation sound and visualizing the symptoms, the doctor can actually listen to the eustachian tube insufflation sound and simultaneously observe the waveform and the diagnostic result displayed on the monitor; thus, the state of the eustachian tube can be evaluated by the doctor both aurally and visually. Therefore, in this study, we aimed to improve the objectivity and reliability of diagnosis by quantifying the eustachian insufflation method and detecting abnormal sounds. We verified that this system can be used for diagnosis support by creating 0.1-s templates of normal and stenosis sounds and calculating the dynamic time warping distance for stenosis data. |
20,953 | Please write an abstract with title: High-Capacity Reversible Data Hiding in Encrypted Images Using Multi-Layer Embedding, and key words: Media, Cloud computing, Encryption, Receivers. Abstract: Reversible Data Hiding in Encrypted Images (RDH-EI) has gained much popularity in the field of signal processing and cloud computing. In this study, we propose a high-capacity RDH-EI scheme using multi-layer embedding. It ensures that after extraction of the embedded additional data from the marked encrypted image, the original image is recovered completely. Broadly, the method comprises three parties: the content owner, the data hider/ cloud owner, and the receiver. In the beginning, the image is encrypted by the content owner using encryption based on the chaotic behaviour of PWL-memristor and sent to the data hider. At the data hider’s side, even-odd value embedding technique is applied in multiple layers of the encrypted image to increase the embedding capacity. Meanwhile, the auxiliary information consisting of location map (LM) for each layer and the number of layers, to be used in the recovery phase, is recorded during the embedding. After completing the embedding procedure, permutation operation is applied on the marked encrypted image to prevent the perceptual information leakage. Finally, at the receiver’s side the embedded additional data and the original image is recovered losslessly with the help of valid keys and shared auxiliary information. From the experimental results, it is observed that the quality of the directly decrypted image is 51.0 dB or above. The advantage of the proposed scheme is that the PSNR is almost same for each layer, i.e. even for the n number of layers used, the PSNR is 51.0 dB or above. Moreover, we applied chosen plaintext attack to test the encryption function and in case of any cropping attack on the marked encrypted image during the transfer, the cover image can be recovered with less distortion. |
20,954 | Please write an abstract with title: IoT and BLE Beacons: Demand, Challenges, Requirements, and Research Opportunities- Planning-Strategy, and key words: Internet of Things, Wireless Communication, Bluetooth Low Energy, BLE Beacons. Abstract: The Internet of Things (IoT) has various technologies that improve the functionalities of IoT devices to make them capable to connect and communicate with each other. The IoT with various advanced technologies and devices performing a rapid transformation of current society towards easier and smarter. As the use of IoT increases, the new challenges, requirements, and research/ innovation need have arisen to fulfill the demands. Wireless devices with low power and high data security are the most viable demand for diverse IoT applications. In an IoT environment, various nodes/ sensors are used to collect the data and different wireless communication technologies like Infrared, Bluetooth, Li-Fi, WI-Fi, Zigbee, etc. are used to transceive the data. As per the survey, among all other available wireless technologies, Bluetooth Low Energy (BLE) beacons have proved as most promising short-range wireless communication technology due to the fact of appearing everywhere or of being very common of Bluetooth-compatible technology. However, for better performance and efficiency of BLE beacons in the IoT ecosystem, regular research has needed to ensure seamless integration. For such research here we have combined the literature of IoT with Beacons. This paper consolidates: an introduction of IoT with its current market demand, challenges and five essential requirements observed. We have also discussed the research planning and strategy to discover the solutions. It also consolidates an introduction of BLE Beacon with its market demand, a survey of existing/ proposed solutions are reviewed to identify the current problem statements for research opportunities in the future. |
20,955 | Please write an abstract with title: Evaluation of Temperature in a Self -Burning Coal Waste Pile Considering UAV Data and in Situ Measurements, and key words: Temperature measurement, Sensors, Vegetation mapping, Pollution measurement, Temperature distribution, Sensor phenomena and characterization, Coal. Abstract: The São Pedro da Cova (Portugal) coal mine produced a significant volume of waste deposited in different piles that have been on self-burning, continuously, for the past 15 years, increasing regional environmental concerns. Attempting to study and monitor the combustion phenomenon in these waste deposits, periodic measurements have been made using multiple sensors on-board of an unmanned aerial vehicle (UAV) and also in situ measurements. Assessments from RGB camera, thermal infrared and multispectral sensors, in addition to the geostatistical analysis of the in situ data, confirmed that the self-burning process is still active. Furthermore, the UAV methodology applied seems adequate for steep settings with difficult accessibility, as well as allowing for a better understanding and monitoring of the overall progression and state of the waste piles' self-burning process. |
20,956 | Please write an abstract with title: Feature Removal on Software Platforms – Discontinued Core Features on Browser Platforms – A Case Study on Mozilla Firefox, and key words: Technological innovation, Conferences, Computer bugs, Software, Browsers, Security. Abstract: Software platforms allow for the extension of features by third-party contributors. Thereby, platform innovation is an important aspects of platforms attractiveness for users and complementors. While previous research focused the introduction of new features, the aspect of feature removal and discontinued features on software platforms has been disregarded. To explore the phenomenon and motivations for feature removal on software platforms, a review of recent literature is provided. To illustrate the existence of and motivations for feature removal, a case study of the browser platform Mozilla Firefox is presented. The results reveal feature removal to regularly occur on browser platforms for user- and developer-related features. Frequent reasons for feature removal involve unused features, security concerns, and bugs. Related motivations for feature removal are discussed from the platform owner's perspective. Implications for complementors and users are highlighted. |
20,957 | Please write an abstract with title: Sectors of nonexistence of surface acoustic waves in potassium niobate, and key words: Surface acoustic waves, Acoustic waves, Niobium compounds, Sawing machines, Acoustic propagation, Crystals, Surface waves, Integral equations, Metallization, Acoustic devices. Abstract: Large sectors of azimuthal directions (up to 17.6/spl deg/) are numerically revealed for the free surface of potassium niobate where normal (that is, nonleaky) surface acoustic waves (SAWS) could not be propagated. The computed maps of such sectors show the cases when a common definition of effective electromechanical coupling coefficient for SAWS, /spl Delta//spl nu///spl nu/, is invalid and should be revisited. In contrast to previous studies.. the true regions of the existence of pure shear Bleustein-Gulyaev (BG) waves on the free surface of the rotated cuts of potassium niobate are found to be very small and are restricted to the orientations very close to the X- and Y-cuts. In the intermediate range of rotated cuts, BG waves transform into an unphysical solution rather than leaky waves that prevents the estimation of electromechanical coupling factor using the /spl Delta//spl nu///spl nu/ definition. Applicability of the method of first integrals to derive an explicit secular equation for BG waves on the rotated cuts of piezoelectric crystals is demonstrated. This equation, as found, is bicubic. A comparison of analytical and numerical results is still in progress. |
20,958 | Please write an abstract with title: Brightness perception, dynamic range and noise: a unifying model for adaptive image sensors, and key words: Brightness, Dynamic range, Image sensors, Lighting, Quantization, Biological system modeling, Working environment noise, Computer vision, Application software, Signal processing. Abstract: Many computer vision applications have to cope with large dynamic range and changing illumination conditions in the environment. Any attempt to deal with these conditions at the algorithmic level alone are inherently difficult because of the following: (1) conventional image sensors cannot completely capture wide dynamic range radiances without saturation or underexposure; (2) the quantization process destroys small signal variations especially in shadows; and (3) all possible illumination conditions cannot be completely accounted for. The paper proposes a computational model for brightness perception that deals with issues of dynamic range and noise. The model can be implemented on-chip in analog domain before the signal is saturated or destroyed through quantization. The model is "unified" because a single mathematical formulation addresses the problem of shot and thermal noise, and normalizes the signal range to simultaneously compress the dynamic range, minimize appearance variations due to changing illumination, and minimize quantization noise. The model strongly mimics brightness perception processes in early biological vision. |
20,959 | Please write an abstract with title: Power prediction of photovoltaic power generation based on LSTM model with additive Attention mechanism, and key words: Attention-LSTM, photovoltaic prediction, feature selection. Abstract: Photovoltaic power generation is affected by meteorological factors, characterized by intermittency, readiness and fluctuation, which brings challenges to the stable operation of PV power generation systems. Therefore, accurate prediction of PV power generation is of great significance. In this study, the LSTM (Long Short-Term Memory Network) model based on additive attention mechanism aims to improve the prediction accuracy of PV power. Firstly, the Pearson correlation coefficient method is used to pre-screen the meteorological data and select the meteorological parameters with higher correlation with PV power. Then Principal Component Analysis was applied to reduce the data dimensionality, and the most relevant parameters affecting PV power were successfully mined as inputs to the prediction model. Next, the additive Attention mechanism is introduced into the LSTM model, which is conducive to reducing the influence of irrelevant variables and paying more attention to useful input parameters. It is verified experimentally that the Attention-LSTM-based prediction model has higher accuracy in different weather scenarios when compared with single LSTM model, BP (BackPropagation Neural Network) model, and Convolutional Neural Network (CNN) model. Therefore, the model proposed in this study can effectively improve the prediction of PV power. |
20,960 | Please write an abstract with title: Person tracking with a mobile robot based on multi-modal anchoring, and key words: Mobile robots, Face detection, Robot sensing systems, Leg, Cameras, Human robot interaction, Robot vision systems, Robustness, Data mining, Availability. Abstract: The ability to robustly track a person is an important prerequisite for human-robot-interaction. This paper presents a hybrid approach for integrating vision and laser range data to track a human. The legs of a person can be extracted from laser range data while skin-colored faces are detectable in camera images showing the upper body part of a person. As these algorithms provide different percepts originating from the same person, the perceptual results have to be combined. We link the percepts to their symbolic counterparts legs and face by anchoring processes as defined by Coradeschi and Saffiotti. To anchor the composite symbol person we extend the anchoring framework with a fusion module integrating the individual anchors. This allows to deal with perceptual algorithms having different spatio-temporal properties and provides a structured way for integrating anchors from multiple modalities. An example with a mobile robot tracking a person demonstrates the performance of our approach. |
20,961 | Please write an abstract with title: A visual distortion detection method for textile cloth, and key words: Visualization, Machine vision, Image edge detection, Windings, Transforms, Production, Feature extraction. Abstract: At present, most textile enterprises in China have a high degree of labor intensity, and the defect detection of textile still depends on manual inspection. This way has many disadvantages such as strong subjectivity and high labor intensity. With the growing maturity of machine vision technology, it has been widely applied to the industrial production process. The paper deals with the problem of twisting and deformation of textile cloth driven by cloth winding motor. Firstly, CCD industrial camera was used to capture the image. Secondly, a series of operations was applied to the image to extract the features of the warp and weft of cloth, such as the binarization, morphological open and close, edge detection and Hough transform. Finally, the weft inclination angle was calculated to help detect the distortion of the cloth. Experimental results showed that, the inclination angle detected by the proposed algorithm is consistent with that measured by protractor, and the maximum error is −3.57%. |
20,962 | Please write an abstract with title: Fuel Cell Based DC-AC Single Phase QZSI for Low Voltage Grid Utility, and key words: Protons, Low voltage, Renewable energy sources, Simulation, Fuel cells, Voltage, Pulse width modulation. Abstract: 1ϕ qZSI inverter is most popular for renewable energy sources like PV and fuel cell due to its unique shoot through large boost voltage capability. A fuel cell is a clean and efficient source of electricity. Fuel cell needs fuel for continuous production of electricity but it can give good performance irrespective of seasonal changes, unlike PV cell. In this paper, proton exchange membrane fuel cell (PEMFC) based 1ϕ qZSI is interfaced to a low voltage grid. PEMFC is operated with low temperature and has lower emission of carbon dioxide. This paper focuses on the performance of PEMFC based 1ϕ qZSI on low voltage grid utility in the presence of 100Hz ripple. As in single-phase circuit, 100Hz ripple is more dominant; it causes more energy loss and shortens the lifetime of renewable source like a fuel cell. Hence, this article will also discuss how much percentage of 100Hz ripple present in qZS inductor current and capacitor voltage using proper calculation. The simulation results are found using MATLAB/SIMULINK |
20,963 | Please write an abstract with title: Myoelectric Sensor-Based Prosthetic Hand for the Transradial Amputees of Kapampangan Development Foundation, Inc., and key words: Digital audio broadcasting, Prosthetic hand, Thumb, Electromyography, Performance evaluation. Abstract: Human hands are one of the greatest tools used in people's everyday lives. Its job involves grasping, holding, moving, and manipulating various objects. Thus, losing a hand would greatly reduce one's ability to work. Kapampangan Development Foundation (KDF) is an organization which provide an assistance to the less fortunate Cabalens of Pampanga; one of these is their prosthesis laboratory. However, KDF can only provide assistance for their lower limb amputees. To solve this problem, a functional prototype prosthetic hand was developed for the transradial amputees. The prosthesis integrated force sensitive resistors, motors, and myoelectric means of control which enable the user in performing activities of daily living (ADL). The accuracy of myo armband in reading myoelectric signals was tested and provided a positive result as the device can properly read myoelectric signals from an amputee. Using a descriptive method, the researchers were able to gather all the needed data in the study. Research instruments such as questionnaires, interviews, and surveys were used in order to gain knowledge regarding the present issues. The overall outcome was a prosthesis that met the initial design requirements and can perform basic hand functionality. |
20,964 | Please write an abstract with title: TAURUM P2T: Advanced Secure CAN-FD Architecture for Road Vehicle, and key words: Performance evaluation, Limiting, Road vehicles, Supply chains, Production, Logic gates, Hardware. Abstract: Interconnected devices are growing very fast in today's automotive market, providing new and complex features that cover very different domains. This vast and continuous requirement for new features brings to impact areas categorized as real-time safety-critical devices, opening the possibility to add potential vulnerabilities. By analyzing the security vulnerabilities within vehicle networks, this paper aims at proposing a new generation of a secure architecture based on Controller Area Network (CAN) called TAURUM P2T. This new architecture looks at mitigating the vulnerabilities found in the current network systems of road vehicles by introducing a low-cost and efficient solution based on the introduction of a Secure CAN network able to implement a novel key provisioning strategy. The proposed architecture has been implemented, resorting to a commercial Multi-Protocol Vehicle Interface module, and the obtained results experimentally demonstrate the approach's feasibility. |
20,965 | Please write an abstract with title: Fast projection plane classifier, and key words: Table lookup, Explosions, Robustness, Pattern analysis, Pattern recognition, Data visualization, Data analysis, Industrial training, Testing, Computational efficiency. Abstract: A new approach for classification is presented, the "Fast Projection Plane Classifier", abbreviated here to FPPC. The main idea of FPPC is very simple: a classification problem for n-dimensional feature vectors is transformed into several two dimensional (2D) classification problems. Each transformation is a projection of the feature space into a plane. The projection into 2D-planes simplifies the classification task massively and leads to a very fast classification algorithm which uses binary lookup tables as a representation of the distribution of the previously trained feature vectors. The algorithm has some beneficial properties: it can handle high dimensional problems without an explosion of the number of required training samples, and with all possible 2D-projections the algorithm uses a reliable and precise representation of the training samples. |
20,966 | Please write an abstract with title: Management of oil spills in Malaysia marine environment through a decision support system, and key words: Environmental management, Petroleum, Decision support systems, Sea measurements, Disaster management, Project management, Oil pollution, Marine transportation, Marine pollution, Protection. Abstract: Providing a decision supporting system was the main objective of an academic project for oil spill management, which has been commenced by 2002. Malaysia faces the oil pollution because of its oil transportation routes while it includes more than 4670 km marine borders with valuable and vulnerable coastal areas. Experts in different domains, including marine and coastal environment, marine pollution as well as emergency and contingency responders were interviewed, both in governmental and private sectors, to provide all required knowledge for preparing this DSSystem. All this was done to assist choosing the most appropriate method for oil spills prevention and clean up in the least time, considering the important factors for recognizing the sensitivities and protection priorities in marine and coastal areas of the Straits of Malacca, Malaysia. |
20,967 | Please write an abstract with title: GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis, and key words: Sequential analysis, Sequences, Genomics, Hardware, Software, Acceleration, Bioinformatics. Abstract: Genome sequence analysis has enabled significant advancements in medical and scientific areas such as personalized medicine, outbreak tracing, and the understanding of evolution. To perform genome sequencing, devices extract small random fragments of an organism's DNA sequence (known as reads). The first step of genome sequence analysis is a computational process known as read mapping. In read mapping, each fragment is matched to its potential location in the reference genome with the goal of identifying the original location of each read in the genome. Unfortunately, rapid genome sequencing is currently bottlenecked by the computational power and memory bandwidth limitations of existing systems, as many of the steps in genome sequence analysis must process a large amount of data. A major contributor to this bottleneck is approximate string matching (ASM), which is used at multiple points during the mapping process. ASM enables read mapping to account for sequencing errors and genetic variations in the reads. We propose GenASM, the first ASM acceleration framework for genome sequence analysis. GenASM performs bitvectorbased ASM, which can efficiently accelerate multiple steps of genome sequence analysis. We modify the underlying ASM algorithm (Bitap) to significantly increase its parallelism and reduce its memory footprint. Using this modified algorithm, we design the first hardware accelerator for Bitap. Our hardware accelerator consists of specialized systolic-array-based compute units and on-chip SRAMs that are designed to match the rate of computation with memory capacity and bandwidth, resulting in an efficient design whose performance scales linearly as we increase the number of compute units working in parallel. We demonstrate that GenASM provides significant performance and power benefits for three different use cases in genome sequence analysis. First, GenASM accelerates read alignment for both long reads and short reads. For long reads, GenASM outperforms state-of-the-art software and hardware accelerators by 116× and 3.9×, respectively, while reducing power consumption by 37× and 2.7×. For short reads, GenASM outperforms state-of-the-art software and hardware accelerators by 111× and 1.9×. Second, GenASM accelerates pre-alignment filtering for short reads, with 3.7× the performance of a state-of-the-art pre-alignment filter, while reducing power consumption by 1.7× and significantly improving the filtering accuracy. Third, GenASM accelerates edit distance calculation, with 22-12501× and 9.3-400× speedups over the state-of-the-art software library and FPGA-based accelerator, respectively, while reducing power consumption by 548-582× and 67×. We conclude that GenASM is a flexible, high-performance, and low-power framework, and we briefly discuss four other use cases that can benefit from GenASM. |
20,968 | Please write an abstract with title: A Research on Network Resources and Task-Based Instruction for Chinese College English Learners, and key words: Education, Task analysis, Information systems. Abstract: With the rapid development of the computer technology and the massive application of network resources, we have stepped into a new era of education, in which modern technologies have been comprehensively used. There are a large number of good network resources available on the internet; and provided much more opportunities and accesses to the English language learners. The aim of this study is to investigate the effects of task-based instruction on Chinese college English learners by using network resource in the process of teaching. The author tries to provide some thoughts and methods on integrating network resources to task-based English teaching. It is hoped to be beneficial for English teachers to increase the efficiency of teaching in practice. |
20,969 | Please write an abstract with title: Computer Vision-Based Smart Agriculture Storage with Quality and Quantity Analysis and Recipe Suggestion, and key words: Computer vision, Portable computers, Crops, Prototypes, Object detection, Containers, Cameras. Abstract: A low-cost Computer Vision-based crop yield classifier for the crop stored inside the container is proposed with this experimentation. This system includes options for analyzing quantity and quality. In quantity analyses the crops such as wheat and rice are classified using a camera and computer vision algorithms and the data is saved in the firebase cloud. In quality analysis, the quality of fruits and vegetables is assessed using the TensorFlow object detection API, and the results are stored in the cloud alongside recipe ideas. Intelli-container also offers a function called monitoring mode for security purposes, in which content inside the system is periodically examined and the user is notified via a web application if there is any theft or missing objects. The web app was designed using HTML and Bootstrap. It displays the real-time updates and suggests a recipe based on the vegetables and eatables present inside the container with a help of the Computer Vision approach. The proposed system contains raspberry pi as the main unit and peripheral sensors like loadcell, HX711 module, and camera module. The system uses TensorFlow modules for classification and object detection using python. With this paper, we are proposing a new term for our implemented system as Intelli-Container (Intelligent +Container). This system is useful for machine learning-based smart agricultural purposes for quality, quantity, and security. As our system is capable of quality and quantity analysis, Also, our proposed system is useful for paying the minimum Support Price (MSP) directly to farmers without intervention middlemen, Thus, this paper has social application in good governance. Another application of our prototype is for giving recommendations for recipes using food in this Inteli_container. |
20,970 | Please write an abstract with title: Analysis framework of pollution related factors in power grid based on Aprior algorithm, and key words: Pollution, Input variables, Wind speed, Predictive models, Prediction algorithms, Power grids, Information and communication technology. Abstract: Grid fouling is a major hidden danger that affects the normal operation of the grid. Electricity fouling level assessment is of great significance to guide the cleaning work. However, there are too many factors affecting the fouling level, resulting in too many variables introduced into the modeling work, which makes the work more difficult and reduces the prediction accuracy. In this paper, we propose to use the Aprior algorithm to evaluate the importance of each input variable and simplify the subsequent set of input variables through data mining techniques. The results show that pollutant kernel density, pollutant distance, and land use type are important factors. Precipitation and wind speed are secondary factors. Atmospheric pollutants are equally important factors, which are also influenced by the previous three important factors. |
20,971 | Please write an abstract with title: Recognize Vietnamese Sign Language Using Deep Neural Network, and key words: Pediatrics, Assistive technology, Neural networks, Gesture recognition, Auditory system, Organizations, Real-time systems. Abstract: World Health Organization published an article called `Deafness and hearing loss' in March 2020, it said that more than 466 million people in the world lost their hearing ability, and 34 million of them were children. Sign Language has been born and developed for a long time, but its application to communicate has met with many inadequacies and difficulties. Many methods of Computer Vision-based approach gave good results on Sign Language Alphabet Recognition but all of them require the perfect result from background removing step. However, when it comes to real life, removing a complex background is too difficult for any simple background removing algorithms. In this work, our main purpose is to build a model based on deep learning that can recognize Vietnamese Sign Language Alphabet in a complex environment. Results obtained show a robust accuracy of this model in recognizing Vietnamese Sign Language Alphabet. |
20,972 | Please write an abstract with title: Research on Constant Output of Wireless Power Transfer System Based on DDP Coil, and key words: Receivers, Transmitters, Topology, Inductance, Wireless power transfer, Magnetic fields, Superconductivity. Abstract: In the field of wireless power transfer technology, inspired by the traditional LCC topology based on DD coil, this paper proposes a new type of coil called DDP coil. DD coil and P coil in DDP coil are used as coupling coil and resonant coil respectively in traditional LCC topology, and DD coil and P coil transmit energy to receiver coil together. When transmitter and receiver coil are misaligned, the magnetic flux of DD coil and P coil passing through receiver coil decreases. However, due to the excellent misalignment tolerance of LCC topology based on DDP coil, when parameters of whole system are matched, the load can achieve constant current output. Therefore, compared with the traditional LCC topology based on DD coil, the structure proposed in this paper has higher misalignment tolerance and improves the material utilization of resonant inductor. Finally, simulation results show that load current of LCC topology based on DDP coil changes 12% when the receiver coil is deviating by 150 mm. This result is much better than the load current change rate 62 % of the traditional LCC topology based on DD coil when the receiver coil is deviating by 150 mm. |
20,973 | Please write an abstract with title: Measuring Model Understandability by means of Shapley Additive Explanations, and key words: Additives, Atmospheric measurements, Psychology, Machine learning, Particle measurements, Complexity theory, Optimization. Abstract: In this work we link the understandability of machine learning models to the complexity of their SHapley Additive exPlanations (SHAP). Thanks to this reframing we introduce two novel metrics for understandability: SHAP Length and SHAP Interaction Length. These are model-agnostic, efficient, intuitive and theoretically grounded metrics that are anchored in well-established game-theoretic and psychological principles. We show how these metrics resonate with other model-specific ones and how they can enable a fairer comparison of epistemically different models in the context of Explainable Artificial Intelligence. In particular, we quantitatively explore the understandability-performance tradeoff of different models which are applied to both classification and regression problems. Reported results suggest the value of the new metrics in the context of automated machine learning and multi-objective optimisation. |
20,974 | Please write an abstract with title: A Remote Monitoring Greenhouse Agricultural Farming with Edge Computing System, and key words: Smart Agriculture, Farming Methods, Sensor Devices, Edge Computing, Irrigation System, Green Housing Farming, Wireless Network System. Abstract: IOT has become increasingly important in the industrial sectors in recent years, and we have suggested the project of greenhouse farming on the basis of IOT. It is carried out through the regular remote monitoring of greenhouses utilizing mobile and cloud applications, as well as through the fixing of sensors and the use of data-sharing techniques. The goal of this method is to increase the effectiveness of smart agriculture farming by using edge computing to detect insects, monitor plant health, and maintain crop quality. There are many different crops that can be grown using very effective methods of production, preventing the causes of crop loss. According to the manner of production and crop cultivation, smart agriculture becomes effective. When crops are grown and produced in accordance with smart agriculture principles, it becomes effective. Combining IOT and edge computing will undoubtedly improve farming practices in agricultural sectors (90%–95%). Increased crop quantity will also result in higher crop quality. |
20,975 | Please write an abstract with title: Surface acoustic wave resonator filters using tapered gratings, and key words: Surface acoustic waves, Acoustic waves, Resonator filters, Gratings, Propagation losses, Transducers, Insertion loss, Coupling circuits, Acoustic reflection. Abstract: Tapered gratings are used to form SAW resonators with improved filter response and correspondingly relaxed design limitations. Tapering on only one end is showtno smooth out ther eflection sidelobes of the grating and eliminate the out-of-band amplitude and phase ripple of resonator filters. Further, near the reflection banedd ge, the reflection phase varies more slowly than that of a uniform gratiig thereby allowing ala rger grating separation without introducing spurious longitudinal resonator modes. Gratings tapered symmetrically to zero at both endhsa ve very low reflection sidelobes but are shown to have a large reflection phase-shift that leads to multimode resonators For singlemode resonators therefore, asymmetrical tapers ainrve estigated as a compromise between sidelobel evel and reflection phaseshift. Strongly coupled two- and three-cavity, multistrip-coupled resonator cascades are fabricated to demonstrate the filter sidelobe suppression obtained using tapered gratings. |
20,976 | Please write an abstract with title: Photovoltaic System MPPT using Fuzzy Logic Controller, and key words: Maximum Power Point Tracker (MPPT), Fuzzy Logic Controller (FLC), Zeta Converter. Abstract: Solar energy is environmentally friendly energy and it has an unlimited source in nature. To be able to get electrical energy from the sun, photovoltaic is needed that will convert sunlight energy into electrical energy. A photovoltaic has a non-linear output and cannot generate maximum power automatically because it is influenced by solar radiation, temperature, and shadow. Photovoltaic require a tracking system to produce maximum power. The fuzzy logic controller (FLC) is proposed in this paper as a Maximum Power Point Tracking (MPPT) system to get maximum power from photovoltaic with changes in irradiation and temperature. MPPT system will be connected to the zeta converter. Zeta converter is the development of a buck-boost converter with a low ripple and the same polarity as the input voltage polarity on the converter. The results of the simulation show that with changes in irradiance and temperature, the MPPT system using the fuzzy logic controller can find the Maximum Power Point. The average efficiency obtained from the simulation results when the irradiation change is 96.64% and the temperature change is 99.40%. |
20,977 | Please write an abstract with title: Joint frequency offset estimation and interference cancellation for MIMO-OFDM systems [mobile radio], and key words: Frequency estimation, Interference cancellation, Land mobile radio, Frequency synchronization, MIMO, OFDM, Wireless communication, Equalizers, Interchannel interference, Radiofrequency interference. Abstract: Synchronization and equalization in wireless multi-user MIMO-OFDM (multiple-input multiple-output orthogonal frequency division multiplexing) systems is important for next generation wireless communication. This paper proposes a new algorithm for joint frequency offset estimation and equalizer training for the uplink of a multi-user MIMO-OFDM system where each user employs spatial multiplexing. A new two-stage receiver structure is adopted, which consists of an initial space-time equalization for suppressing the co-channel interference (CCI), shortening the channel, and mitigating asynchronicity, followed by parallel equalization and detection in the frequency domain. The effects of frequency offset for each transmit data stream can be adjusted after the space-time equalization. Simulations show good performance in terms of bit error rate and mean square error for the frequency offset estimation. |
20,978 | Please write an abstract with title: Label-Noise Robust Person Re-Identification via Symmetric Learning, and key words: Training, Deep learning, Computers, Computational modeling, Benchmark testing, Entropy, Noise robustness. Abstract: Person re-identification (Re-ID) methods based on deep learning has obtained impressive progress in recent years. And the training of the model usually relies on a large amount of accurate pedestrian identity annotations. However, label noise is unavoidable and has a negative impact on the model training process. But existing research pays little attention to Re-ID with noisy label. In this paper, we propose a label noise robust model for person Re-ID by symmetric learning, without additional clean labels or predefined label distributions. We symmetrically enhance cross-entropy loss through noise robust reverse cross entropy. The experiments demonstrated its effectiveness against various ratios of label noise on the three different benchmark datasets. |
20,979 | Please write an abstract with title: S-DIGing: A Stochastic Gradient Tracking Algorithm for Distributed Optimization, and key words: Optimization, Convergence, Linear programming, Approximation algorithms, Stochastic processes, Machine learning algorithms, Convex functions. Abstract: In this article, we study convex optimization problems where agents of a network cooperatively minimize the global objective function which consists of multiple local objective functions. The intention of this work is to solve large-scale optimization problems where the local objective function is complicated, and numerous. Different from most of the existing works, the local objective function of each agent is presented as the average of finite instantaneous functions. Integrating the gradient tracking algorithm with stochastic averaging gradient technology, a distributed stochastic gradient tracking (termed as S-DIGing) algorithm is proposed. At each time instant, only one randomly selected gradient of an instantaneous function is computed, and applied to approximate the local batch gradient for each agent. Based on a novel primal-dual interpretation of the S-DIGing algorithm, it is shown that the S-DIGing algorithm linearly converges to the global optimal solution when step-size do not exceed an explicit upper bound, and the instantaneous functions are strongly convex with Lipschitz continuous gradients. Numerical experiments are presented to demonstrate the practicability of the S-DIGing algorithm, and correctness of the theoretical results. |
20,980 | Please write an abstract with title: Fast decoder design of connected word speech recognition for automobile navigation system, and key words: Decoding, Speech recognition, Automobiles, Navigation, Tin, Tellurium, Hidden Markov models, EMP radiation effects, Ice, Electrons. Abstract: This paper presents efficient decoder techniques for use in a large vocabulary connected word speech recognition system that is designed to operate in an automobile navigation platform. In particular, we introduce a two-pass search technique that can handle a large vocabulary list at a high speed. Essentially, both the 1st and 2nd passes share the identical acoustic model that makes it possible to significantly reduce the amount of computational load in the 2nd pass. Also, efficient implementation techniques for embedded platforms are presented for realizing a high-speed speech recognizer design suitable for automobile navigation system. |
20,981 | Please write an abstract with title: Face Recognition Using Principal Component Analysis, and key words: Training, Databases, Face recognition, Complexity theory, Security, Face detection, Principal component analysis. Abstract: Face recognition is one of the finest method or field to use for better accuracy and also security. Face is comprising of multidimensional structure with complexity and for that complexity we need much good worthy computing techniques for detection as well as for recognition. The aim of this paper is to address that face recognition with the best method Eigen Faces or Principal Component Analysis (PCA) algorithm basis. We also see face detection, recognition in this paper. We used a training database as Olivetti dataset. |
20,982 | Please write an abstract with title: Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy, and key words: Deep learning, Laparoscopes, Performance evaluation, Minimally invasive surgery, Instruments, Surgery, Medical instruments. Abstract: Minimally Invasive Surgery (MIS) is a surgical intervention used to examine the organs inside the abdomen and has been widely used due to its effectiveness over open surgery. Due to the hardware improvements such as high definition cameras, this procedure has significantly improved and new software methods have open potential for computer-assisted procedures. However, there exists challenges and requirement to improve detection and tracking of the position of the instruments during these surgical procedures. To this end, we evaluate and compare some popular deep learning methods that can potentially be explored for the automated segmentation of surgical instruments in laparoscopy, an important step towards tool tracking. Our experimental results demonstrate that the Dual decoder attention network (DDANet) produces a superior result compared to other recent deep learning methods. DDANet produces a dice coefficient of 0.8739 and mean intersection over union of 0.8183 for the Robust Medical Instrument Segmentation (ROBUST-MIS) Challenge 2019 dataset, at a real-time speed of 101.36 frames per second which is critical for such procedures. |
20,983 | Please write an abstract with title: Identifying Ranked Features through Optimized Selection Procedure towards Achieving Improved Accuracy in Diabetes Detection, and key words: Organizations, Multilayer perceptrons, Prediction algorithms, Nonhomogeneous media, Feature extraction, Diabetes, Classification algorithms. Abstract: World Health Organization (WHO) reported in 2018, diabetes is a severe life-threatening illness, affecting 422 million people globally. Every year, the number of people affected rises significantly. For a medically significant outcome, early identification of diabetes is indeed preferred to prevent its severity. The goal of this paper is to use various data mining approaches to determine the probability of diabetes recurrence. The data for diabetes patients was obtained from the UCI machine learning repository's Pima Indians Diabetes dataset having a total of 9 attributes. Naive Bayes, Multilayer Perception, and JRip classification algorithms were used to evaluate the accuracy of their predictions on this dataset. The result of this experiment shows that using Ranker with these algorithms exhibit significant improvement in accuracy for diabetes detection. By removing certain lower-ranked features, it was possible to increase the accuracy for every model using an optimal feature selection approach. Not only do these features contribute very little, but their incorporation also causes classification systems to be misled. This helped the JRip, Multilayer Perceptron, and Naive Bayes algorithms achieve accuracy of 78.26%, 77.73%, and 77.47% respectively. |
20,984 | Please write an abstract with title: Research on image Processing technology of Locomotive Rail Surface Damage, and key words: Rails, Image edge detection, Image processing, Railway accidents, Software algorithms, Surface morphology, Visual effects. Abstract: Rail surface damage is an important factor affecting the safe and smooth running of locomotive. How to detect the damage quickly and accurately is the research content of this subject. In this paper, the image processing technology is applied to the detection of rail surface image, through the fuzzy enhancement of the image to increase the contrast, improve the visual effect, and then extract the edge of the derailment surface through the gray mean variance ratio, finally using morphological method to detect the rail surface damage. MATLAB software to achieve the algorithm and image display. The research results can be applied to the damage detection of rail surface and have certain practical value. |
20,985 | Please write an abstract with title: Nonlinear response of Ba/sub x/Sr/sub 1 - x/TiO/sub 3/ planar and parallel-plate capacitors to microwave power: comparative study of power handling capability, and key words: Strontium, Power capacitors, Power measurement, Microwave devices, Testing, Capacitance, Resonance, Frequency, Pulse measurements, Microstrip resonators. Abstract: The power handling capability of tunable microwave devices employing planar and parallel-plate Ba/sub x/Sri/sub 1- x/TiO/sub 3/ film-based capacitors was experimentally measured and analyzed. A microstrip resonator, excited by either harmonic or two-tone microwave signals of elevated power, was selected as an example of tunable test fixture. |
20,986 | Please write an abstract with title: Method for Assessment of Security-Relevant Settings in Anomaly-Based Intrusion Detection for Industrial Control Systems, and key words: Security, Integrated circuits, Intrusion detection, Software, Government, Task analysis, Risk management. Abstract: Ensuring the integrity of Ethernet-based networks is a challenging and constantly evolving domain. This problem is exacerbated for those operational technology (OT) networks supporting industrial control systems (ICS) since much of that equipment was originally designed to be on a network that was isolated and generally considered free of malefactors. Increasing pressure to bridge these systems with traditional information technology (IT) networks has introduced a bevy of new threats. In response, both academia and industry have responded with security solutions tailored to ICS environments. Deploying these protection systems often involves several configuration choices. While some of these choices are clear (e.g., block/enable protocol X) others are far more subjective (e.g. alert threshold == 3.43). Further complicating the situation, while often similar to IT networks, OT networks have unique challenges and characteristics that make the task of protecting them simultaneously more difficult and straight forward. Extant solutions for quantifying the relative security of intrusion detection systems fail to effectively support the operators of said systems with understanding the impact of various configuration changes. Further, they assume that the attacks are static and not subject to manipulation or alteration in the face of defenses. In this paper, we present a threat-based method for quantifying the relative impact of various security settings for intrusion detection systems (IDSs) within ICS environments. This method provides operational staff with a clear understanding of the relative impact of their settings and assumes that the attacks levied against them are dynamic. The model is described in detail, we apply the model to a synthetic data set, and discuss the inferences that can be made and what types of decisions they could be used to support. |
20,987 | Please write an abstract with title: A simplified approach to determination of saturated synchronous reactances of large turbogenerators under load, and key words: Turbogenerators, Saturation magnetization, Magnetic materials, Magnetic fields, Steady-state, Stators, Voltage, Reactive power, Torque, Load modeling. Abstract: This paper details the use of computerized magnetic field solutions, based on magnetic vector potential, to develop a simplified approach to the calculation of saturated values of steady state reactances of turbogenerators under various load conditions. When magnetic nonlinearity of the stator and rotor materials is taken into account, the turbogenerator reactances become dependent on the saturation conditions in the machine, which are a function of the operating conditions (terminal voltage, current and power factor). Quadrature axis synchronous reactances are reduced by as much as 40% from their classical unsaturated values under rated load. Torque angles deduced from the model at rated load are lower by as much as 20% than values obtained by standard methods. The method is applied to two typical 4-pole, 659 MVA and 2-pole, 733 MVA turbogenerators of the gas inner-coaled type. Supportive shop floor test results are provided. |
20,988 | Please write an abstract with title: Hybrid Conditional Random Fields Based on Complex-valued 3D CNN for PolSAR Image Classification, and key words: Scattering, Feature extraction, Image classification, Data models, Entropy, Deep learning, Kernel. Abstract: In this paper, we propose a hybrid conditional random fields based on complex-valued 3-dimensional convolutional neural network (CV3DCNN), named as HCRF-CV3DCNN, for polarimetric synthetic aperture radar (PolSAR) image classification. HCRF-CV3DCNN extracts deep features of PolSAR image by CV3DCNN, and thus exploits amplitude and phase information of PolSAR data to measure the class probability in the framework of random fields. Additionally, based on the CV3DCNN-based class probabilities, the relative entropy of class distributions is derived and utilized to regulate the label interactions to enhance the accuracy of edge location in the classification. At last, to capture PolSAR image information in a more complete manner, the deep features and PolSAR scattering statistics are integrated into HCRF-CV3DCNN based on Bayesian fusion. In this way, HCRF-CV3DCNN effectively combines the representation-learning ability of deep learning model with the modeling power of random fields including spatial correlation and data statistics. The experimental results demonstrate the superiority of HCRF-CV3DCNN over the recent deep learning models for PolSAR image classification. |
20,989 | Please write an abstract with title: Storm Watch: A Tool for Visualizing Memory System Protocols, and key words: Storms, Watches, Visualization, Protocols, Programming profession, Parallel programming, Filters, Animation, Joining processes, Concurrent computing. Abstract: Recent research has offered programmers increased options for programming parallel computers by exposing system policies (e.g., memory coherence protocols) or by providing several programming paradigms (e.g. message passing and shared memory) on the same platform. Increased flexibility can lead to higher performance, but it is also a double-edged sword that demands a programmer understand his or her application and system at a more fundamental level. Our system, Tempest, allows a programmer to select or implement communication and memory coherence policies that fit an application's communication patterns. With it, we have achieved substantial performance gains without making major changes in programs. However, the process of selecting, designing, and implementing coherence protocols is difficult and time consuming, without tools to supply detailed information about an application's behavior and interaction with the memory system. StormWatch is a new visualization tool that aids a programmer through four mechanisms: tightly-coupled bidirectionally linked views, interactive filters, animation, and performance slicing. Multiple views present several aspects of program behavior simultaneously and show the same phenomenon from different perspectives. Real-time linking between views enables a programmer to explore levels of abstraction by changing a view and observing the effect on other views. Interactive filters, along with bidirectional linking, can isolate the effects of statements, loops, procedures, or files. StormWatch can also animate a program's dynamic behavior to show the evolution of program execution and communication. Finally, performance slicing captures causality among events. The examples in the paper illustrate how StormWatch helped us substantially improve the performance of two applications. |
20,990 | Please write an abstract with title: The role of agent behavior in mentalistic attributions by observers, and key words: Pediatrics, Facial animation, Psychology, Humans, Monitoring, Shape, Face, Morphology, Home appliances, Lamps. Abstract: A series of studies examined the possibility that humans, including infants as young as 12 months, attribute the mental abilities of perception and goal-directedness to morphologically unfamiliar agents. When participants observed a morphologically ambiguous object interact contingently with its environment they were able to monitor and follow its attentional focus, identify its goal, and describe its behavior as mentalistic. |
20,991 | Please write an abstract with title: Cross Domain Authentication Based on Blockchain for Mobile Terminals in Edge Computing Environment, and key words: Knowledge engineering, Smart contracts, Authentication, Information services, Blockchains, Internet, Security. Abstract: The advent of the Internet of everything era has led to a dramatic increase in the number of terminal devices. With frequent interactions between devices and information service entities in different communication domains, identity authentication faces a series of security issues and challenges. For the cross-domain authentication problem of heterogeneous terminal devices accessing network services in different communication domains in IoT, a blockchain-based cross-domain authentication scheme is proposed in the edge computing environment. The identity of the terminal device is generated by the smart contract in the blockchain, and the Hash value of its identity is stored in the decentralized blockchain, and the terminal device identity can roam randomly in different communication domains with one registration, which can realize effective identity authentication. |
20,992 | Please write an abstract with title: Simultaneous FIR interferometry/polarimetry in the UCLA Microtor plasma, and key words: Faraday effect, Tokamak devices, Plasma measurements, Detectors, Particle beams, Rotation measurement. Abstract: Faraday rotation and electron line density spatial profiles ahve been measured simultaneously on the Microtor tokamak using the phase modulation scheme originally proposed by Dodel and Kunz [1]. Presently, a single channel system is spatially scanned across the complete plasma profile at 1 cm intervals. The extension of this technique to a 20 channel interferometer/polarimeter system using micro-bolometer imaging arrays is briefly described together with an assessment of the importance of such a system on fusion plasmas. |
20,993 | Please write an abstract with title: Coal Weight Measurement Method of Belt Conveyor Based on Binocular Stereo Vision, and key words: Weight measurement, Image segmentation, Three-dimensional displays, Coal, Belts, Information retrieval, Fuzzy reasoning. Abstract: Belt conveyors is one of the most used equipment in coal production process. However, the amount of coal on the belt conveyors is fluctuant in practical conditions, and the power output of belt conveyor is often greater than the actual demand, resulting in a large amount of energy waste. The detection of coal transport volume on the belt conveyor has become the key to solve this problem. This paper develops a coal weight detection system for belt conveyor, which integrates a three-dimensional (3D) coal information extraction module based binocular vision, and a coal weight detection calculation module incorporated by 3D scene reconstructing method and T-S fuzzy reasoning. Concretely, the first module combines local entropy transform coal image information and K-means clustering segmentation method to segment coal area, followed by 3D coal information extraction via binocular vision technology; the second module firstly collects 3D information of belt under empty load offline, then calculates the initial volume of coal by reconstructing scene from 3D information of belt and coal; Furthermore, the system calculates the area and perimeter of each coal lump by watershed algorithm. Then the area and perimeter of each coal lump are taken as the inputs of t-s fuzzy reasoning, and the void rate of coal can be estimated. Finally, the volume of coal is modified according to the void rate, and formula for calculating density and weight is used to realize coal weight detection. An experimental study is carried out through actual coal transport images of belt conveyor. The results show that the effectiveness of the proposed measurement method. |
20,994 | Please write an abstract with title: Two-dimensional digital filters with minimum cycle time, and key words: Digital filters, Two dimensional displays, Clocks, Throughput, Pipeline processing, Hardware, Filtering, Pixel, TV, Arithmetic. Abstract: In this paper a new two-dimensional (2-D) digital filter structure is presented. The proposed structure has a short clock cycle time or a high data throughput rate, independent of the order of the filter. Parallelism and pipelining are the two features of the proposed filter structure that contribute to its high speed performance. Hardware of the filter utilizing no multipliers is outlined. It has been shown that the filter is capable of filtering images of size up to 512×512 pixels with a TV scan rate of 30 frames/sec in real-time. Finally, the new filter structure is compared to the one implemented by distributed arithmetic and is shown to be superior. |
20,995 | Please write an abstract with title: Evaluation of Expressive Motions based on the Framework of Laban Effort Features for Social Attributes of Robots, and key words: Service robots, Shape, Shape measurement, Social robots, Path planning, Cleaning, Production facilities. Abstract: In today’s world, it is not uncommon to see robots adopted in various domains and environments. Robots take over several roles and tasks from manufacturing facilities to households and offices. It is crucial to measure people’s judgment of robots' social attributes since the findings can shape the future design for social robots. Using only a simple and mono-functional robotic vacuum cleaner, this paper investigates the impact of expressive motions on how people perceive the social attributes of the robot. The Laban Effort Features, a framework for movement analysis that emerged from dance, was modified to design expressive motions for a simple cleaning task. Participants were asked to rate the social attributes of the robot under several treatment conditions using a video-based online survey. The results indicated that velocity influenced people’s ratings of the robot’s warmth and competence, while path planning behavior influenced people’s ratings of the robot’s competence and discomfort. Limitations of this study include the kinematic constraints of the robot, potential issues with survey design, and technical constraints related to the open interface provided by the robot’s developer. The findings should be considered when incorporating expressive motions into domestic service robots operating in social settings. |
20,996 | Please write an abstract with title: Smart home research, and key words: Smart homes, Radio frequency, Home appliances, Home automation, Protocols, Artificial intelligence, Intelligent control, Manufacturing, Power supplies, Computerized monitoring. Abstract: This paper is a survey for smart home research, from definition to current research status. First we give a definition to smart home, and then describe the smart home elements, typical research projects, smart home networks research status, smart home appliances and challenges at last. |
20,997 | Please write an abstract with title: Interfacing 5G Orchestrator With Data Analytics Functions [From the Guest Editors], and key words: Special issues and sections, 5G mobile communication, Computer architecture, Air transportation, Security. Abstract: During the past few years, research and standardization communities have worked collaboratively to develop a composable 5G network for a digitized, connected world of humans and machines. This has been evident in every segment of the new communication system, including the powerful and reachable air interface supported by New Radio, multiaccess edge computing (MEC), a new transport network featuring dense wavelength-division multiplexing, the service-based architecture of the 5G core network, end-to-end (E2E) network slicing, network function virtualization (NFV) and service automation, and so on. Using predefined policies, this softwaredriven network is tactical, restructures domains, and mobilizes resources in response to traffic changes. Therefore, the internal network interfaces, resources, functionality, and task assignment are dynamically adapted through main network orchestrators that govern all components either directly or through specific elements. |
20,998 | Please write an abstract with title: Discrete Radon-Fourier Transform and Its Approximation Algorithm in Short Range Ubiquitous Radar, and key words: Radar, Chirp, Transforms, Couplings, Computational complexity, Radar detection, Sensors. Abstract: This paper studies long time coherent integration (LTCI) for low-observable target detection in short range ubiquitous radar (SRUR). Due to frequency modulated continuous wave (FMCW) technique in SRUR, traditional LTCI algorithms are not suitable for direct use. Discrete Radon-Fourier transform (DRFT) in SRUR (SRUR-DRFT) with uniform linear array is proposed, which not only eliminates across-range unit, across-Doppler unit and across-beam unit, but also corrects coupling and the error in digital system. In addition, an approximation algorithm for SRUR-DRFT with low computational complexity and good compatibility called two-stage coherent integration (2SCI) is introduced. In the first stage, the long observation time is divided into several subapertures and three-dimensional Fourier transform is carried out in each subaperture. In the second stage, short sequence DRFT is executed among subapertures. 2SCI achieves quasi-coherent integration in the whole aperture. Moreover, a dual-threshold detector named dual-threshold Radon-Fourier transform(DTRFT) is designed, which is a joint application of 2SCI and SRUR-DRFT. Then, the performances of the proposed algorithms are theoretically analyzed. The proposed algorithms are suitable for SRUR and FMCW radar, and can achieve a better compromise between detection performance and computational complexity than the existing algorithms. Finally, simulations and experiments with real data are provided to demonstrate the effectiveness of the proposed algorithms. |
20,999 | Please write an abstract with title: Storage channel modelling in Simulink, and key words: Mathematical model, Equalizers, Preamplifiers, Power system modeling, Viterbi algorithm, Detectors, Maximum likelihood detection, Integrated circuit interconnections, Optical interconnections, Optical receivers. Abstract: A novel model of the magnetic/optical storage channel is reported The model is implemented in the Matlab/Simulink block-diagram language, and is self-configuring to arbitrary user-specified partial response targets. All key continuous- and discrete-time channel components are implemented in a configurable architecture. A unified system description which merges the channel model with a behavioral representation of the analog processing electronics and interconnects preceding the channel is described, and results presented. Applications are in design of magnetic tape/disk, and optical storage systems. |
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