ID int64 0 400k | content stringlengths 97 5.85k |
|---|---|
15,500 | Please write an abstract with title: Dynamic call admission control and resource reservation with interference guard margin (IGM) for CDMA systems, and key words: Call admission control, Interference, Multiaccess communication, Quality of service, Resource management, Traffic control, Communication system traffic control, Base stations, Time division multiple access, Frequency division multiaccess. Abstract: A dynamic call admission control and resource reservation scheme suitable for CDMA systems is proposed. Preferential treatment is given to high priority calls by preserving an interference guard margin (IGM), which is dynamically adjusted by referencing traffic conditions in neighboring cells based upon users' quality of service. A comprehensive service model is used including users' service rates, priority levels, mobility and rate adaptivity. Simulations are conducted by OPNET to study the performance in terms of the objective function under different traffic conditions. |
15,501 | Please write an abstract with title: Hybrid Algorithm Based on Machine Learning and Deep Learning to Identify Ceramic Insulators and Detect Physical Damages, and key words: Deep learning, Image segmentation, Semantics, Object detection, Insulators, Classification algorithms, Ceramics. Abstract: This work proposes a hybrid algorithm that is based on machine and deep learning algorithms. The paper studied and implemented an Aggregate Channel Feature and Semantic Segmentation to identify the existence of a ceramic insulator in an image, then pass a cropped image to a deep learning classifier to diagnose the insulators’ health status. The Artificial Intelligence networks were developed via a reliable database that consisted of thousands of images. The work concludes with a comparison and evaluation of the performance between the developed object detection techniques. |
15,502 | Please write an abstract with title: Stabilization Control of Rotary Base Inverted Pendulum by Combination of Lyapunov-base controller and Linear PD controller, and key words: Robust control, Damping, Uncertain systems, Numerical simulation, Mathematical models, Trajectory, Numerical models. Abstract: In this paper a control scheme for rotary base inverted pendulum is developed in order to stabilize system. The mathematical model is obtained by Euler-Lagrange equations and some considerations are taken. The control scheme is divided into three steps: first, a linear control law for angle's base is proposed for tracking trajectory problem. Then, the desired trajectory in angle position is used as artificial control input and some auxiliary controllers are developed in order to express the dynamics as a pendulum on a cart system. The last step consist in propose a Lyapunov-based controller for stabilization problem. Numerical simulations are shown into two scenarios: with external disturbances and without external disturbances to observe the effectiveness of control scheme proposed. |
15,503 | Please write an abstract with title: Dependability analysis: a new application for run-time reconfiguration, and key words: Runtime, Circuit faults, CMOS technology, Field programmable gate arrays, Prototypes, Hardware, Emulation, Space technology, Circuit simulation, Information analysis. Abstract: The probability of faults, and especially transient faults, occurring in the field is increasing with the evolutions of the CMOS technologies. It becomes therefore crucial to predict the potential consequences of such faults on the applications. Fault injection techniques based on the high level descriptions of the circuits have been proposed for an early dependability analysis. In this paper, a new approach is proposed, based on emulation and run-time reconfiguration. Performance evaluations and practical experiments on a Virtex development board are reported. |
15,504 | Please write an abstract with title: How to Improve CNN-Based 6-DoF Camera Pose Estimation, and key words: Cameras, Pose estimation, Agriculture, Visualization, Image resolution, Task analysis, Neural networks. Abstract: Convolutional neural networks (CNNs) and transfer learning have recently been used for 6 degrees of freedom (6-DoF) camera pose estimation. While they do not reach the same accuracy as visual SLAM-based approaches and are restricted to a specific environment, they excel in robustness and can be applied even to a single image. In this paper, we study PoseNet [1] and investigate modifications based on datasets' characteristics to improve the accuracy of the pose estimates. In particular, we emphasize the importance of field-of-view over image resolution; we present a data augmentation scheme to reduce overfitting; we study the effect of Long-Short-Term-Memory (LSTM) cells. Lastly, we combine these modifications and improve PoseNet's performance for monocular CNN based camera pose regression. |
15,505 | Please write an abstract with title: Semantic Annotation and Classification of Mammography Images using Ontologies, and key words: Training, Sensitivity, Annotations, Semantics, Ontologies, Feature extraction, Breast cancer. Abstract: Breast cancer is one of the most common types of cancer among women in the world. The early diagnosis of the anomaly is a priority for more effective and less costly treatment. Mammography is the most used medical exam in diagnosing breast cancer, and the number of images generated grows exponentially. Accurately interpreting and diagnosing mammography images requires that the specialist has extensive experience to perform this task. The manual image classification and the retrieval of similar cases is an expensive and time-consuming process. The historical data in these exams are an excellent source of knowledge and should be considered when analyzing new cases. Thereby, this research aims to improve the classification and semantic annotation of medical images. We propose a method to extract the low-level image features, metadata information, and medical reports and combine them with the high-level information present in a domain ontology. Also, providing an appropriate semantic structure for integrating information enables the classification and semantic image annotation through a reasoner. Thus, this work seeks to facilitate radiologists' and physicians' daily lives involved in breast cancer diagnosis, collaborating with a second opinion for the medical diagnosis. The experiments have shown that the proposed method is feasible and can generate promising results, achieving a 71% sensitivity rate in identifying circumscribed findings. Moreover, it favors classification and diagnosis as it allows semantically annotating images with concepts of multiple abstraction levels. Therefore, semantic annotation reduces the semantic gap and can help to improve CAD and CBIR systems. The semantic annotation also collaborates with medical education to support the teaching and training of reading medical images and medical diagnosis, supporting decision making by providing a second opinion. |
15,506 | Please write an abstract with title: Community Detection via Autoencoder-Like Nonnegative Tensor Decomposition, and key words: Tensors, Optimization, Detection algorithms, Matrix decomposition, Decoding, Spread spectrum communication, Complex networks. Abstract: Community detection aims at partitioning a network into several densely connected subgraphs. Recently, nonnegative matrix factorization (NMF) has been widely adopted in many successful community detection applications. However, most existing NMF-based community detection algorithms neglect the multihop network topology and the extreme sparsity of adjacency matrices. To resolve them, we propose a novel conception of adjacency tensor, which extends adjacency matrix to multihop cases. Then, we develop a novel tensor Tucker decomposition-based community detection method—autoencoder-like nonnegative tensor decomposition (ANTD), leveraging the constructed adjacency tensor. Distinct from simply applying tensor decomposition on the constructed adjacency tensor, which only works as a decoder, ANTD also introduces an encoder component to constitute an autoencoder-like architecture, which can further enhance the quality of the detected communities. We also develop an efficient alternative updating algorithm with convergence guarantee to optimize ANTD, and theoretically analyze the algorithm complexity. Moreover, we also study a graph regularized variant of ANTD. Extensive experiments on real-world benchmark networks by comparing 27 state-of-the-art methods, validate the effectiveness, efficiency, and robustness of our proposed methods. |
15,507 | Please write an abstract with title: Is Asymptotic Cost Analysis Useful in Developing Practical Parallel Algorithms, and key words: Parallel algorithms, Prediction algorithms, Heuristic algorithms, Computer languages, Runtime, Computational modeling, Programming profession. Abstract: Summary form only given, as follows. Asymptotic analysis of runtime, and space, has been the cornerstone in the development of practical sequential algorithms. The analysis is not meant to predict runtimes on any particular machine, but rather to guide algorithm designers and implementors in the right direction, and let them better understand how algorithms might scale. Quicksort, Dijkstra's algorithm, dynamic programming, depth first search, for example, are fast in theory and in practice–-and scale pretty much as the theory predicts. All CS undergrads learn about these algorithms and techniques, and they are broadly implemented in many widely used libraries and applications. Over the years models have been extended to include the benefits of locality, allowing for a refined asymptotic analysis when needed. Unfortunately the jury is still out on the role of asymptotic analysis in the practice of parallel algorithms. There is no lack of theoretical work on analyzing the cost of parallel algorithms, with such work dating back almost fifty years, but these ideas have not been widely adopted in practice. There are various possible reasons, including inaccurate cost models, giant constants in the big-O, no adequate programming languages, lack of education on the topic, or perhaps parallel machines are just too complicated to model theoretically and we should just give up. In this talk I will describe how simple parallel models can be useful for developing practical parallel algorithms, and many of the theoretical ideas in parallel algorithms are useful, at least in the context of shared-memory multicore machines. I will cover work on developing practically efficient algorithms for a wide variety of applications of graphs, trees, computational geometry, and strings. As with sequential algorithms, the basic model does not account for locality, but I will discuss some simple ways to extend it. |
15,508 | Please write an abstract with title: Physical Access Control System for the Premises using the Internet of Things Technology, and key words: Access control, Protocols, Microcontrollers, Layout, Organizations, Microcomputers, Hardware. Abstract: A comprehensive solution to the construction of a room access control system is proposed. Complexity is realized by choosing the platform of the technology of the Internet of things. A review of modern microcontrollers and microcomputers on the basis of which a physical access control system can be built is given. A substantial description of the hardware of the system and the protocols of interaction between the nodes of the system are made. The access control system for the room was brought to the layout, which allowed us to identify some of its shortcomings. The demonstrated operability of the proposed solution will allow the use of access control systems in two scenarios: entrance to the room and safe locks. |
15,509 | Please write an abstract with title: The Role of External Influences on Organizational Information Security Practices: An Institutional Perspective, and key words: Information security, Data security, Computer viruses, Computer security, Information systems, Impedance, Investments, Technology management, Personnel, Explosives. Abstract: This paper describes the initial findings of a case study intended to identify important organizational catalysts and impediments to implementing and using security technologies and security policies. The study focuses on how institutional forces shaped and motivated managers and employees at different levels in different ways. We found that low priority of security technology investments and internal policy development to top management is likely the main reason for organizational inertia that leads to insecurity. Two types of institutional forces seem to be the most effective mechanisms for breaking the inertia: coercive forces exerted by regulatory agencies and the normative forces exerted through the influences of professionalism and professional networks. The case shows that with respect to security technologies and policies, regulatory forces, such as the Sarbanes-Oxley Act, are much more powerful drivers for change within the organization as compared to normative influence which disproportionately affects IT personnel rather than top level executives. |
15,510 | Please write an abstract with title: Data dissemination in autonomic wireless sensor networks, and key words: Intelligent networks, Wireless sensor networks, Monitoring, Trajectory, Data communication, Distributed computing, Computer science, Energy states, Radio access networks, Communication system control. Abstract: In this paper, a new data dissemination algorithm for wireless sensor networks is presented. The key idea of the proposed solution is to combine concepts presented in trajectory-based forwarding with the information provided by the energy map of the network to determine routes in a dynamic fashion, according to the energy level of the sensor nodes. This is an important feature of an autonomic system, which must have the capacity of adapting its behavior according to its available resources. Simulation results revealed that the energy spent with the data dissemination activity can be concentrated on nodes with high-energy reserves, whereas low-energy nodes can use their energy only to perform sensing activity or to receive information addressed to them. In this manner, partitions of the network due to nodes that ran out of energy can be significantly delayed and the network lifetime extended. |
15,511 | Please write an abstract with title: Combining partial least squares and feed forward neural network technologies in a fault detection system with large number of correlated sensors, and key words: Least squares methods, Feeds, Neural networks, Feedforward neural networks, Fault detection, Sensor systems, Signal processing, Fluid flow, Stator windings, Power generation. Abstract: The paper describes the issues that have to be dealt with by Failure Detection Systems that process a large number of highly correlated signals. As an example of such system, a Failure Detection System responsible for detecting flow restrictions in liquid cooled stator windings of electric power generators is studied. Field data is presented. |
15,512 | Please write an abstract with title: Estimation of Water Coverage Ratio in Low Temperature PEM-Fuel Cell Using Deep Neural Network, and key words: Fuel cells, Image processing, Sensors, Cameras, Neural networks, Cathodes. Abstract: Proton exchange membrane fuel cell (PEMFC) is a rich source of renewable energy. A non-destructive prediction method is needed to determine the content of water in the PEMFC. In the gas channel of a transparent PEMFC, water is detected with image processing. This method has a high computational cost and is sensitive to the initial position of the camera and ambient lighting. In this paper, the deep neural network (DNN) has been trained to learn the transparent PEMFC's labeled images as a way to determine the content of water, limit human interference and employed in a real-time process. This DNN model is a virtual sensor for measuring the water coverage ratio. To produce the label of images, all data are divided into 6 classes based on the percentage of water coverage ratio. Through analyzing the number of each class, the imbalance data is unfolded. To overcome this problem, random oversampling and undersampling techniques are used. The images and the classes are considered as the input and output of the DNN, respectively. Also, the region of water accumulation in the gas channel can be recognized with robustness to the environmental conditions. Final results of 4-41-64-120-99-6 nodes for DNN layers were derived due to GA optimization. Accuracy of 96.77% and 94.23% in train and test data have been achieved. This DNN, processes the images up to 10 times faster than image processing. Also, the region of water accumulation in the gas channel can be recognized. |
15,513 | Please write an abstract with title: A computer-aided diagnosis for distinguishing Tourette's syndrome from chronic tic disorder in children by a fuzzy system with a two-step minimization approach, and key words: Computer aided diagnosis, Fuzzy systems, Pediatrics, Diseases, Biomedical imaging, Medical diagnostic imaging, Medical treatment, Computed tomography, Coronary arteriosclerosis, Pattern matching. Abstract: Tourette's syndrome, no longer considered as a rare and unusual disease, is the most severe tic disorder in children. Early differential diagnosis between Tourette's syndrome and chronic tic disorder is difficult but important because proper and early medical therapy can improve the child's condition. Brain single-photon emission computed tomography (SPECT) perfusion imaging with technetium-99m hexamethylpropylene amine oxime is a method to distinguish these two diseases. In this paper, a fuzzy system called characteristic-point-based fuzzy inference system (CPFIS) is proposed to help radiologists perform computer-aided diagnosis (CAD). The CPFIS consists of SPECT-volume processing, input-variables selection, characteristic-points (CPs) derivation, and parameter tuning of the fuzzy system. Experimental results showed that the major fuzzy rules from the obtained CPs match the major patterns of Tourette's syndrome and chronic tic disorder in perfusion imaging. If any case that was diagnosed as chronic tic by the radiologist but as Tourette's syndrome by the CPFIS was taken as Tourette's syndrome, then the accuracy of the radiologist was increased from 87.5% (21 of 24) without the CPFIS to 91.7% (22 of 24) with the CPFIS. All 17 cases of Tourette's syndrome, which is more severe than chronic tic disorder, were correctly classified. Although the construction and application process of the proposed method is complete, more samples should be used and tested in order to design a universally effective CAD without small sample-size concerns in this research. |
15,514 | Please write an abstract with title: Damping Provision by Different Virtual Synchronous Machine Schemes, and key words: Synchronous machines, Damping, Phase locked loops, Voltage control, Synchronization, Mathematical model, Frequency synchronization. Abstract: The adoption of virtual synchronous machine (VSM) schemes for the control of power converters is gaining more and more attention both in academia and industry. The VSM control strategies fall into the category of grid-forming converter controls, and they are intended for a range of different applications, providing specific services and different kinds of support to the grid. The paper investigates the possibility of damping provision to the system by VSM power converters. Different schemes are considered and compared, showing the opportunity of the investigated solutions through combined modal and time domain analyses. A specific modification of the power synchronization loop is recognized as the most suitable method to contain the power oscillations and increase the damping level in the system. |
15,515 | Please write an abstract with title: Deriving kernels from MLP probability estimators for large categorization problems, and key words: Kernel, Neural networks, Computational efficiency, Electronic mail, Testing, Multilayer perceptrons, Natural languages, Proposals, Data mining, Computer science. Abstract: In multi-class categorization problems with a very large or unbounded number of classes, it is often not computationally feasible to train and/or test a kernel-based classifier. One solution is to use a fast computation to pre-select a subset of the classes for reranking with a kernel method, but even then tractability can be a problem. We investigate using trained multilayer perceptron probability estimators to derive appropriate kernels for such problems. We propose a kernel derivation method which is specifically designed for reranking problems, and a more efficient variant of this method which is specifically designed for neural networks with large numbers of output units. When applied to a neural network model of natural language parsing, these new methods achieve state-of-the-art performance which improves over the original model. |
15,516 | Please write an abstract with title: The hyper-cube framework for ant colony optimization, and key words: Ant colony optimization, Runtime, Robustness, Chemicals, Humans, Optimization methods, Character generation. Abstract: Ant colony optimization is a metaheuristic approach belonging to the class of model-based search algorithms. In this paper, we propose a new framework for implementing ant colony optimization algorithms called the hyper-cube framework for ant colony optimization. In contrast to the usual way of implementing ant colony optimization algorithms, this framework limits the pheromone values to the interval [0,1]. This is obtained by introducing changes in the pheromone value update rule. These changes can in general be applied to any pheromone value update rule used in ant colony optimization. We discuss the benefits coming with this new framework. The benefits are twofold. On the theoretical side, the new framework allows us to prove that in the ant system, the ancestor of all ant colony optimization algorithms, the average quality of the solutions produced increases in expectation over time when applied to unconstrained problems. On the practical side, the new framework automatically handles the scaling of the objective function values. We experimentally show that this leads on average to a more robust behavior of ant colony optimization algorithms. |
15,517 | Please write an abstract with title: Characterisation of Critical Infrastructure Organisation in Nigeria, and key words: Critical National Infrastructure, Critical National Information Infrastructure, Critical Sectors, Analysis, Interdependence.. Abstract: This paper presents the characterisation of critical infrastructures in Nigeria as an initial step towards development of a framework for the uniform designation of an infrastructure as a Critical National Information Infrastructure (CNII) in Nigeria. Notably, there is no globally acceptable criteria for the designation of an infrastructure as Critical National Infrastructure (CNI) or CNII. However, there is a consensus that CNIs are vital for a modern society, and drives economic growths and national prosperity. Although there are similarities in such infrastructures worldwide, every nation determines the value to attach to each CNI depending on its developmental goal, priorities and the level of dependency on such infrastructure. In Nigeria, there is no publicly available information on the categorisation of infrastructures as CNI or CNII. The mythological approach adopted was document scan, analysis and synthesis of publicly available information on CNI and CNII of some selected countries, followed by a comparative analysis. Five countries were selected from each of the six continents based on population size and adoption of Information and Communications Technology (ICT). The findings revealed that about 90% of the countries studied categorised energy, transportation, water, communications and health as sectors of CNI. Conceptually, based on the outcome, CNIs in Nigeria were characterised into twelve critical sectors. This initial study forms the first step towards development of a framework for the correct designation of an infrastructure as a CNII in Nigeria as opposed to arbitrary designation. |
15,518 | Please write an abstract with title: Quantitative Study on Error Sensitivity in Ultrasound Probe Calibration with Hybrid Tracking, and key words: Ultrasonic imaging, Sensitivity, Three-dimensional displays, Tracking, Statistical analysis, Perturbation methods, Transforms. Abstract: Three-dimensional (3D) freehand ultrasound (US) imaging enabled by the external tracking system requires an accurate calibration process to transform the tracked motion information from the markers to the US frames. The previously proposed phantomless calibration method can be further improved using both optical tracking and image-based tracking. This study provides a quantitative analysis on the error sensitivity before implementing the image-based tracking during the calibration process. A linear relationship was found between the perturbation in imaging plane motion estimation and the error caused in the calibration solution. The error to perturbation ratio was within 0.5 in most cases and can reach up to around 0.9 in some poor cases. The overall analysis showed a good error tolerance for the hybrid tracking enabled US probe calibration. |
15,519 | Please write an abstract with title: A smart-and-connected low-cost sensor system for measuring air and soil properties in the Central U.S.: first results, and key words: Temperature sensors, Temperature distribution, Irrigation, Soil properties, Rural areas, Humidity, Real-time systems. Abstract: This article describes the design and development of a smart-and-connected low-cost Iowan-designed canopy (I-Canopy) sensor system that is enabled by the Internet of Things (IoT) devices capabilities, empowered by solar-based rechargeable batteries, and developed for community science applications. The I-Canopy sensor, is designed for real-time monitoring of near-surface air properties (temperature, relative humidity, pressure) and soil properties (temperature and moisture) for a wide range of weather and canopy conditions. The sensor is well suited for rural areas where the real-time data of air and soil is lacking in part due to the lack of broadband internet connection, and in part due to the limited (if any) ground-based weather stations in the current federal and state observation network. The canopy sensor has been tested in rural communities in western Nebraska to provide information for farmer's decision-making of irrigation and agricultural water use in the crop growing season. The sensor is capable to transmit data through both WiFi and LoRaWAN in real-time to a cloud data server and the local data server. Presented here are the first results of the sensor design and sensor data evaluation in various out-door environments, which illustrates the high-level readiness of the sensor for large-scale deployment for either routine or scientific applications for rural areas. |
15,520 | Please write an abstract with title: Study on Impact of Different Electrode Materials on the Collector Performance in TWTs, and key words: Electrodes, Copper, Electric potential, Ions, Graphite, Solids, Geometry. Abstract: Attaining good collector performance in terms of high collector efficiency, low backstreaming, and body interception current has been a prime motive for traveling wave tube (TWT) designers. Selection of appropriate electrode material can result in enhancement of collector performance for the same electrical design (with same electrode potentials and electrode geometry). Here, attempts have been made to quantitatively demonstrate the unexplored impact of electrode material selection on the collector performance systematically. The effect of electrode material on collector efficiency, backstreaming current, body interception current, and their fluctuations arising in a practical scenario due to the variations in input power drives and electrode potentials has been studied. This study has been extended for two different types of TWTs–one with high electronic efficiency and another with medium electronic efficiency at different operating frequencies. Five different electrode materials have been studied with precise recommendations provided for each of the two types of TWTs. |
15,521 | Please write an abstract with title: Performance Assessment Framework for Electrical Capacitance Tomography Based Mass Concentration Estimation in Pneumatic Conveying Systems, and key words: Estimation error, Uncertainty, Systematics, Measurement uncertainty, Transportation, Tools, Flowmeters. Abstract: Pneumatic conveying is used in various industrial fields for the transportation of bulk materials. Reliable flow meters are of high interest for the efficient operation and control of such systems. Electrical capacitance tomography (ECT) is a promising technique for flow measurements in pneumatic conveying systems. Several publication demonstrated the basic applicability of ECT for this measurement task. This work in contrast aims for a systematic performance assessment of ECT based mass concentration estimation, which is a crucial parameter for the determination of the mass flow rate. A holistic model of the measurement process is presented and a measurement procedure is proposed to validate the model with stationary material distributions. The validated framework gives access to statistical estimation error analyses for various pneumatic conveying flow conditions. The presented framework is a practical tool for the development and improvement of ECT based flow meters as it enables analyses of different measurement setups to an extend, that would be difficult to achieve by means of measurement experiments on test rigs only. |
15,522 | Please write an abstract with title: Psychotherapy in interaction with Technology : Proposal of a new investigation area for CogInfoCom, and key words: Ethics, Conferences, Computational neuroscience, Medical treatment, Mental health, Machine learning, Signal processing. Abstract: Recently, the increasingly rapid development of new technologies is leading to a revolution in the field of psychotherapy. We are in front of the spread of a wide range of online mental health services. The parallel development of communication technologies, signal processing and machine learning has led us to a serious reflection on how these technologies can be used to improve the quality of psychotherapy online. Thanks to the mediation of technological systems, during the therapy session we can use the wide range of computational neuroscience and artificial intelligence tools. We can obtain the uniquely and non-subjective recognition of a specific psychopathological event and standardizing the effectiveness of the applied technique can give scientific form to therapeutic practice in following five areas: CogInfoCom and narrative mind; CogInfoCom and affectivity; CogInfoCom and body; CogInfoCom and intersubjectivity; CogInfoCom and ethical process. Therefore, we propose, within the broad theme of intra cognitive communication of the Cognitive InfoCommunication project, the opening of a specific field of investigation that allows the development of models, methods and technologies for the practice of psychotherapy. |
15,523 | Please write an abstract with title: COCPIT: Collaborative Activity Planning Software for Mars Perseverance Rover, and key words: Space vehicles, Instruments, NASA, Propulsion, Planning, Planetary orbits, Software tools. Abstract: Since landing on the Martian surface, the Perseverance rover has relied on a distributed team to generate commands for exploring its new environment each sol (Martian day). The team uses a complex suite of software tools to accomplish this challenging task in time for the next window of opportunity to send commands to the rover. A key piece of this software ecosystem is COCPIT (Component-based Campaign Planning, Implementation, and Tactical). COCPIT is part of the next generation of planning and scheduling software tools developed by NASA's Jet Propulsion Laboratory in partnership with NASA's Ames Research Center. COCPIT is a web-based application that allows users to collaboratively view and update the Perseverance rover's activity plans, continuously verify that the plan satisfies constraints, assign targets for directing scientific instruments, document science intent, and model power and data resources. Mars Surface Operations requires diverse expertise from team members within the Engineering, Science, Robotic, and Instrument Operations groups, distributed across North America and Europe. In order to improve efficiency and reduce risk, all teams are able to review and edit their activities simultaneously and see the effects on the plan in its entirety. As part of the Ground Data System (GDS) tool suite, COCPIT is responsible for the activity plan. It provides specialized views that allow operators to understand where there may be room for additional observations, see whether any planning constraints are being violated, and confirm that energy usage and data generation are within the defined limits. It contains details such as which filters a camera will use for a given observation, what the resolution of the images should be, where to store the data onboard, and how long the observation is expected to take. It predicts when specific data will be downlinked from the rover to a passing orbiter, so that the team knows when to expect that data on Earth for evaluation in future planning. Ultimately the information from the COCPIT plan is translated to sequences that will be bundled and radiated to Perseverance for execution. The COCPIT tool is used throughout all planning phases. |
15,524 | Please write an abstract with title: Modeling and experimental analysis of arc high resistance grounding fault of distribution network, and key words: Resistance, Temperature distribution, Grounding, Contacts, Distribution networks, Forestry, Vegetation. Abstract: The distribution network environment in forestry and pastoral areas is complex and changeable, which is very easy to cause arc high resistance grounding faults, resulting in large-area electrical fires. However, arc grounding faults are mostly random, and the traditional analysis methods are difficult to describe their development process. Aiming at this problem, the arc high resistance grounding fault model was established and the actual arc fault experiment of distribution network was carried out in this paper. Through the arc fault experiment in wet grassland, dry grassland, trees and other environments, the development process of arc fault in distribution network in forest and pastoral areas was simulated. Through the analysis of experimental data, the influence of contact humidity, fault current, transition resistance and other factors on electrical fire was analyzed. The test results show that the high resistance grounding fault of branches has a development process. |
15,525 | Please write an abstract with title: Integrated resources planning for a centralized system, and key words: Power system security, Mesh generation, Distributed power generation, Wind farms, Power generation economics, Environmental economics, Power markets, Power system management, Government, Wind energy. Abstract: EDF Group is implanted in several countries, especially in France, UK, Germany and Italia. Its system is essentially designed from a centralized viewpoint. But from 1990, different factors (such as liberalization of the market, technological progress, economic incentives, environmental constraints...) have led to a strong development of dispersed generation, which has to be taken into account in an integrated resources planning approach. Historically, energy is provided by centralized sources from the transmission grid to the distribution one. An important share of dispersed generation would modify the flows and make new constraints on the distribution grid, which was not designed to work so. This work quickly describes the structure and the actors of the French system. Then it presents the consequences of the growth of dispersed generation, regulatory issues, possible scenarios of evolution (percentage of dispersed generation in the whole system capacity), and the ongoing research projects to deal with this new question. |
15,526 | Please write an abstract with title: Production, additive printing and mechanical testing of PLA/PHB material with different concentrations of TAC emollient, and key words: Solvents, Additives, Production, Three-dimensional printing, Informatics, Machine intelligence, Testing. Abstract: In order to carry out mechanical testing of samples printed by using additive technology, it is necessary to specify the parameters of the production of filaments, the parameters of 3D printing and the parameters of mechanical testing. In this article, I will discuss the production of filaments, additive technology for printing samples from PLA/PHB material used for detailed mechanical tests and subsequently for evaluation of these mechanical tests. The real-world application of PLA/PHB products bring great benefits. The aim of this paper is to perform mechanical tests on extruded PLA/PHB samples with three different TAC solvent concentrations. Samples were printed using additive technology. The comparison of the results of the pressure and tensile testing carried out on the apparatus also contributed to the success of the research. |
15,527 | Please write an abstract with title: Speed Control for PMSM Drive System Based on Sliding Mode Observer with Phase-Locked Loop and Variable Proportional Desaturation PI Regulator, and key words: Regulators, Velocity control, Switches, Sensorless control, Observers, Harmonic analysis, Power electronics. Abstract: The sensorless control methods in terms of the traditional sliding mode observer (SMO) will usually produce a large number of high frequency harmonics and integral saturation problems, which will lead to a large deviation of the estimated speed of the drive system and poor dynamic performance. Hence, a novel variable proportional desaturation proportional integral (VPDPI) speed regulator design method based on SMO with phase-locked loop (PLL) is proposed in this paper. Firstly, the PLL-SMO speed sensorless observation method is designed by self-closed-loop phase angle prediction, which greatly weakens the high frequency chattering caused by traditional SMO observation under PMSM vector control. Unfortunately, the integral saturation would be intensified due to the introduction of the PLL. To achieve it, a novel VPDPI speed regulator is further designed by combining the self-judging multi-mode switching mode with the concept of threshold segmentation, which ensures that the saturation problem in the PLL and the whole drive system can be totally eliminated. The experimental results indicate that the proposed sensorless drive system based on VPDPI regulator can accurately track the actual speed. Meanwhile, compared with the traditional PI control effect, it has better speed response performance. |
15,528 | Please write an abstract with title: Ocean Exploration through NOAA: collaborations for excellence in exploration and education, and key words: Oceans, Collaboration, Educational programs, Chemicals, Heart, Arctic. Abstract: The National Oceanic and Atmospheric Administration's (NOAA's) Office of Ocean Exploration's mission is to lead NOAA ocean discovery by searching, investigating, and documenting unknown and poorly-known areas of the ocean using interdisciplinary exploration to advance and disseminate knowledge of the ocean environment and its physical, chemical, biological, and historical resources. Multidisciplinary expeditions to little-known or unknown ocean regions of the world ocean lie at the heart of accomplishing this mission and have taken scientists and educators to the Galapagos Rift, the Arctic Ocean, the Gulf of Alaska seamounts, and other areas as they sought to more completely know and understand our ocean. This presentation will focus on how NOAA is forming collaborations among scientists and educators to develop education and outreach resources tied to these expeditions, professional development for teachers to learn how to use these resources, and web-based daily logs from sea to supplement expedition-based lesson plans. This education program is directed at unfolding Key Objective 4 of the President's Panel on Ocean Exploration Report entitled Discovering Earth's Final Frontier: A U.S. Strategy for Ocean Exploration. This objective specifically calls for "reaching out in new ways to stakeholders to improve the literacy of learners with respect to ocean issues." A summary of the National Ocean Exploration Education Workshop findings will be presented, along with future programmatic priorities based on the workshop findings. |
15,529 | Please write an abstract with title: Battery state prediction in photovoltaic standalone installations, and key words: Photovoltaic systems, Training, Uncertainty, Temperature, Recurrent neural networks, Machine learning, Batteries. Abstract: Effective energy treatment is one of the challenges to which scientists are devoting more interest and resources. Currently, there is a need to optimize the generation of energy by renewable methods and to improve the storage and management of battery cells. One of these emerging lines aims to face the problem of uncertainty that exists in the generation of energy in photovoltaic installations. In this paper, we proposed to use machine learning methods to predict the state (voltage) of the batteries at several days into the future. The results obtained from two recurrent neural networks such as NARX and LSTM are compared, getting good results with both. Two approaches are considered: sample-based prediction and pattern-based forecasting. |
15,530 | Please write an abstract with title: Smart Photo Editor for Differently-abled People using Assistive Technology, and key words: Head, Navigation, Neural networks, Object detection, Assistive technologies, Streaming media, Magnetic heads. Abstract: Differently-abled people are significant minority groups, have many limitations to live everyday life, are starved of services, and are mostly ignored by society due to many types of disabilities. This problem may lead to massive frustrations and disappointments among themselves. Assistive technology may easily fill this gap with the enhanced different aiding applications. It helped in various ways, such as helping them to interact, communicate with people and allow people to do basic daily tasks by themselves. Nevertheless, there were fewer applications developed to entertain their leisure time. Therefore, the proposed solution provides a Smart Photo Editor, a hand-free mobile application with attractive photo editing features. This application focused on people having hand motor disabilities. Users can interact with the application using simple head gestures, eye gaze, and eye blinks. Head gestures and eye blinks are used as commands for application operations, while eye gaze is used for cursor enabling, which is helpful for navigation on application screens. Machine Learning (ML) and image processing techniques are used for real-time gesture recognition and eye gaze detection, using the input video frames captured by the inbuilt front-facing camera of the mobile phone. Moreover, in addition to the image processing techniques, Mask Recurrent-Convolutional Neural Network (R-CNN) is used to develop enhanced image adjusting features and customization of backgrounds based on object detection. |
15,531 | Please write an abstract with title: Adaptive neural network trajectory tracking control for an underactuated unmanned surface vehicle, and key words: Trajectory tracking, Adaptation models, Kinematics, Output feedback, Uncertainty, Surges, Sea surface. Abstract: In this paper, we investigate an adaptive output feedback trajectory tracking controller for an underactuated unmanned surface vehicle (USV) with position signals. Using Lyapunov stability theorem and backstepping strategy, a Neural Network (NN)-based adaptive trajectory tracking control scheme is proposed without the velocity informations. The NN is employed to approximate the unknown external disturbances and model parametric uncertainties. Also, a high-gain observer is applied to estimate the USV' unmeasured velocities, and the NN-based output feedback tracking control is designed. Simulation results are carried out to verify the proposed controller. |
15,532 | Please write an abstract with title: Statistical Characterization of Segregation Distance Among Cable Bundles Aboard Aircraft, and key words: Interpolation, Power cables, Stochastic processes, Electromagnetic compatibility, Aircraft, Optimization, Cable shielding. Abstract: Due to the large amount of electrical equipment aboard modern aircraft, several EMC problems appear which can be tackled by filtering disturbances at the equipment inputs and shielding cable links (braiding, covering, over-braiding). Among the others, the segregation between interfering cables or bundles of cables becomes crucial to ensure that coupling constraints will not exceed the equipment susceptibility threshold. The aim of this work is to statistically characterize the coupling between cable bundles and its minimization by optimization under stochastic constraints. The Monte Carlo method is used, and an interpolation scheme based on Smolyak grids is investigated to accelerate the computation. |
15,533 | Please write an abstract with title: Multi-Frequency Broadband optimization of Spaceborne Reflectarrays for Space Applications, and key words: reflectarrays, optimization, space communications, shaped-beam, generalized intersection approach. Abstract: Direct-to-home (DTH) applications usually require a radiation pattern with a given footprint on the surface of the Earth and impose stringent cross-polarization requirements in the form of crosspolar discrimination (XPD) or crosspolar isolation in a given bandwidth. This paper describes a multi-frequency broadband optimization procedure and performance results of a very large spaceborne reflectarray for DTH application in a 10% bandwidth. The proposed design methodology is based on the generalized intersection approach and the use of a multi-resonant unit cell with multiple degrees of freedom (DoF). The procedure is divided into three stages to facilitate convergence towards a broadband performance. First, a initial narrowband design at central frequency is obtain. Then, a broadband optimization including XPD requirements is carried out with a limited number of DoF. Finally, more DoF are included in the last stage optimization to obtain a broadband reflectarray with improved cross-polarization performance. |
15,534 | Please write an abstract with title: Computationally efficient adaptive identification algorithms, and key words: Fault detection, Robustness, Time measurement, Time varying systems, Parameter estimation, Matrices, Filters, Filtering algorithms, Fault diagnosis, Measurement standards. Abstract: The Recursive Weighted Least-Squares (RWLS) identification algorithm is commonly used in adaptive systems. It is well-known that the conventionally mechanized RWLS algorithm is numerically unstable so that it is generally implemented in an algebraically equivalent matrix factorized form (square-root or U-D factorization techniques). In this paper we present two new factorized forms for the implementation of the RWLS algorithm with a forgetting factor. These factorized algorithms use orthogonal transformations such as Modified Gram-Schmidt (MGS) or Modified Weighted Gram-Schmidt (MWGS) transformations which are both numerically robust. The factorization techniques are then applied to a regularized Adaptive Least-Squares (ALS) algorithm. Moreover to handle abrupt parameter variations a new ALS algorithm, based on the use of a fault detection procedure is described. |
15,535 | Please write an abstract with title: Trapped image guide leaky-wave antennas for millimeter wave applications, and key words: Leaky wave antennas, Dielectrics, Optical waveguides, Millimeter wave communication, Millimeter wave measurements, Radio frequency, Antennas and propagation, Gratings, Millimeter wave circuits, Circuit testing. Abstract: A leaky-wave antenna is developed from a novel dielectric waveguide for millimeter wave applications. Design formulas and data are provided, and measured and computed results are presented for a prototype model. |
15,536 | Please write an abstract with title: Physics and simulation of semiconductor lasers, and key words: Physics, Laser theory, Semiconductor lasers, Semiconductor materials, Optical materials, Quantum well lasers, Composite materials, Optical refraction, Optical variables control, Dielectric materials. Abstract: This talk reviews the physics of the semiconductor-laser gain medium. The optical and electronic properties of quantum-confined semiconductor heterostructures are discussed and nonequilibrium simulations of quantum-well and quantum-dot laser systems are presented. |
15,537 | Please write an abstract with title: Model of light propagation in cerebrospinal fluid for brain function measurement, and key words: Brain modeling, Optical propagation, Head, Optical scattering, Light sources, Light scattering, Monte Carlo methods, Particle scattering, Scalp, Biomedical optical imaging. Abstract: The direct hybrid Monte Carlo-diffusion method (DHMDM) has been used to calculate the light propagation in the head model with a low-scattering CSF layer. In calculation of the DHMDM, the surface radiance to the CSF layer should be replaced by the light source for Monte-Carlo calculation of light propagation in the CSF layer. In this study, the influence of asymmetric distribution of the surface radiance toward the CSF layer on the light propagation in the head model is investigated to improve the accuracy of the DHMDM. The light propagation in the head model with thin superficial layer is considerably affected by the asymmetric of the surface radiance. The model considering the asymmetric of the surface radiance in calculation of light propagation in the CSF layer by Monte-Carlo calculation improves the accuracy of DHMDM. |
15,538 | Please write an abstract with title: Space charge effects in a dielectric barrier discharge barrier discharge plasma, and key words: Space charge, Dielectrics, Plasma measurements, Plasma applications, Plasma density, Glow discharges, Atmosphere, Frequency, Density measurement, Electrons. Abstract: Summary form only given, as follows. Dielectric barrier discharge (DBD) is the one of well-known discharge types at the atmosphere pressure. The characteristic of this discharge can be expressed in terms of a randomly distributed microdischarge, which is heterogeneously formed cylindrical current filament in a discharge space. However, the microdischarge can be disappeared and becomes glow discharge, which is homogeneously distributed in the discharge space, under certain operating conditions. The gas flow, pressure and input frequency are the main parameters for the transition to glow discharge. When the microdischarge transits to the glow discharge, the self-bias effect in the powered electrode can be detected. The self-bias effect in an AC discharge is the one of well-known phenomena in the glow discharge. |
15,539 | Please write an abstract with title: Slim-CNN: A Light-Weight CNN for Face Attribute Prediction, and key words: Face recognition, Task analysis, Kernel, Neural networks, Facial features, Computer architecture, Training. Abstract: We introduce a computationally-efficient CNN micro-architecture Slim Module to design a lightweight deep neural network, Slim-CNN, for face attribute prediction. Slim Modules are constructed by assembling depthwise separable convolutions with pointwise convolution to produce a computationally efficient module. The problem of facial attribute prediction is challenging because of the large variations in pose, background, illumination, and dataset imbalance. We stack multiple Slim Modules to devise a compact CNN, which still maintains very high accuracy. Additionally, Slim-CNN has a very low memory footprint, which makes it suitable for mobile and embedded applications. Experiments on the CelebA dataset show that Slim-CNN achieve an accuracy of 91.24% with 25x fewer parameters compared to MCNN-AUX and 100x fewer parameters when compared to DTML. This reduces the memory storage requirement of Slim-CNN by at least 87%. Furthermore, we compare Slim Modules with other well-known micro-architectures, such as Inception modules, residual blocks, Shuffle-Unit, and Inverted Residual units, and show it outperforms them in performance and in memory size, making it suitable for face-related tasks in embedded applications. |
15,540 | Please write an abstract with title: Policy segmentation for intelligent firewall testing, and key words: Automatic testing, Telecommunication traffic, Filtering algorithms, Computer science, Information systems, Computer security, Information security, Standards development, Telecommunication standards, Algorithm design and analysis. Abstract: Firewall development and implementation are constantly being improved to accommodate higher security and performance standards. Using reliable yet practical techniques for testing new packet filtering algorithms and firewall design implementations from a functionality point of view becomes necessary to assure the required security. In this paper, an efficient paradigm for automated testing of firewalls with respect to their internal implementation and security policies is proposed. We propose a novel firewall testing technique using policy-based segmentation of the traffic address space, which can intelligently adapt the test traffic generation to target potential erroneous regions in the firewall input space. We also show that our automated approach of test case generation, analyzing firewall logs and creating testing reports not only makes the problem solvable but also offers a significantly higher degree of confidence than random testing. |
15,541 | Please write an abstract with title: The IoT-based weighing system for growth monitoring and evaluation of fattening process in beef cattle farm, and key words: Weight measurement, Productivity, Decision making, Focusing, Cows, Agriculture, Real-time systems. Abstract: This study investigated a tracking model to evaluate growth efficiency of beef cattle, an amount of 60 male cows, with 18-20 month age, an average body weight of 350-400 kg was feeding program for 120 days experiment in measuring growth performance. The cattle were divided into four groups: Charolais, Charbray (Cross Charolais and Brahman), Brahman, and Native Thai group. This study focuses on analyzing and processing the data collection which design weighing scale process by identification from using RFID ear tag (radio-frequency identification) in cow individuals. That processing connects with the Internet of Things system (IoT) to collect weighing aggregate data of individual cows, with precision in real-time. Therefore, the design system provides a support process for decision-making in the beef cattle data traceability system. The objective of this study designed to evaluate growth in a cow's weight by comparing the cost-effectiveness of generating profits in total operating cost especially, the fattening process. This design system was implemented in Northern Thailand with a local beef cattle farm by the execution of appropriated technology context. The result shows that this study shows the positive result of farming support system development in terms of cows weighing track and cost-efficiency analysis of fettering process. |
15,542 | Please write an abstract with title: A 256-QAM Backscatter Transponder Architecture using Delta-Sigma Load Modulation for 6G Ultra-Low-Power IoT Devices, and key words: Radio frequency, Quadrature amplitude modulation, Transmitters, Modulation, Batteries, Transponders, Uplink. Abstract: An energy-efficient and scalable vector backscatter transponder architecture utilizing delta-sigma digital-to-digital converter (DDC) based antenna load modulation is proposed. In contrast with the current state of the art (SoA) M-QAM backscatter transponder that uses multiplexer (MUX)-based antenna load modulation and requires M antenna loads, the proposed architecture can be scaled to e.g. 256-QAM using only 4 antenna loads. A 256-QAM, 86.7Mbps backscatter transponder design capable of forming RF channels is developed utilizing 1-bit delta-sigma DDCs. The proposed design achieves an estimated 30pJ/bit figure of merit which constitutes a 4.4x improvement over the SoA MUX-based architecture. An energy model of an IEEE 802.11 compatible IoT device is developed. A battery life of 40 years corresponding to an uplink (UL) transaction cycle of 1 hour is estimated for an IEEE 802.11 compatible IoT device employing the proposed backscatter transponder based UL. This constitutes an 8x improvement in battery life compared to an IoT device that uses a conventional direct-conversion transmitter based UL. |
15,543 | Please write an abstract with title: Lossless Compression For Volumetric Medical Images Using Deep Neural Network With Local Sampling, and key words: Image coding, Three-dimensional displays, Neural networks, Training, Biomedical imaging, Solid modeling, Predictive models. Abstract: Data compression forms a central role in handling the bottleneck of data storage, transmission and processing. Lossless compression requires reducing the file size whilst maintaining bit-perfect decompression, which is the main target in medical applications. This paper presents a novel lossless compression method for 16-bit medical imaging volumes. The aim is to train a neural network (NN) as a 3D data predictor, which minimizes the differences with the original data values and to compress those residuals using arithmetic coding. We evaluate the compression performance of our proposed models to state-of-the-art lossless compression methods, which shows that our approach accomplishes a higher compression ratio in comparison to JPEG-LS, JPEG2000, JP3D, and HEVC and generalizes well. |
15,544 | Please write an abstract with title: Research on Narrowband Interference Suppression Technology of UAV Network Based on Spread Spectrum Communication, and key words: Interference suppression, Narrowband, Unmanned aerial vehicles, Spread spectrum communication, Frequency modulation. Abstract: With the rapid development of information technology and the increasing application of unmanned aerial vehicle (UAV) in various fields, UAV network is facing many challenges, such as complex electromagnetic environment, serious environmental interference and human interference. Therefore, higher requirements are put forward for its safety, reliability and adaptability in complex environment. In order to improve the anti-narrowband interference capability of UAV network, this paper proposes a narrowband interference suppression technology based on spread spectrum communication. The simulation results show that the method has a good effect on narrowband interference suppression, and provides an effective solution to the problem of narrowband interference suppression in UAV network. |
15,545 | Please write an abstract with title: BA-TLS: Blockchain Authentication for Transport Layer Security in Internet of Things, and key words: Authentication, Random access memory, Public key, Blockchain, Security, Internet of Things, Servers. Abstract: Traditional security solutions that rely on public key infrastructure present scalability and transparency challenges when deployed in Internet of Things (IoT). In this paper, we develop a blockchain based authentication mechanism for IoT that can be integrated into the traditional transport layer security protocols such as Transport Layer Security (TLS) and Datagram Transport Layer Security (DTLS). Our proposed mechanism is an alternative to the traditional Certificate Authority (CA)-based Public Key Infrastructure (PKI) that relies on x.509 certificates. Specifically, the proposed solution enables the modified TLS/DTLS a viable option for resource constrained IoT devices where minimizing memory utilization is critical. Experiments show that blockchain based authentication can reduce dynamic memory usage by up to 20%, while only minimally increasing application image size and time of execution of the TLS/DTLS handshake. |
15,546 | Please write an abstract with title: Touchless Shared-Control for Wheelchair Navigation, and key words: Navigation, Wheelchairs, Merging, Switches, Control systems, Robot sensing systems, Safety. Abstract: We present a touchless shared-control approach merging wearable sensor-based control and autonomous safety control for wheelchair navigation in this study. To assist disabled people who have no or limited sensorimotor control with their fingers, a wearable armband sensor is used to control an electric wheelchair. Laser rangefinder based autonomous safety control of obstacle avoidance is also implemented through the learning from demonstration. The shared-control architecture for the wheelchair navigation is built up on the integration of the armband-based human control and autonomous safety control. A customized arbitration function was developed to make smooth transition of two control systems according to user’s preference and satisfaction. Our experiments demonstrate that the touchless shared-control can be applied for wheelchair navigation in the real world. |
15,547 | Please write an abstract with title: Manipulating GPS Signals to Determine the Launch Location of Drones in Rescue Mode, and key words: Privacy, System performance, Authentication, Cameras, Hardware, Security, Drones. Abstract: The use of drones for civilian purposes has recently grown. Drones are used for recreational, commercial, and governmental purposes. Today's drones can fly over a long range and many of them are equipped with cameras and a GPS chip to allow users to control them over a long range. This creates privacy and security concerns. For example, drones flying in restricted areas, or using the camera to spy on individuals and entities This paper addresses this issue and proposes a method to respond to violating drones by exploiting the lack of source authentication in GPS systems. In this paper, we propose a technique to ground and find the launch location of violating drones. This is done by invoking the rescue mode, then, employing Radio frequency software-defined radios to broadcast manipulated GPS signals following a novel algorithm that not only grounds violating drones but also find the drone's launch location, which is what unique about our approach. In this paper, we present the proposed method. Then, we perform both hardware tests and a simulation to demonstrate the proposed system's performance. |
15,548 | Please write an abstract with title: Novel Experimental Preparation to Assess Electrocardiographic Imaging Reconstruction Techniques, and key words: Torso, Heart, Correlation, Imaging, Image reconstruction, Standards, Singular value decomposition. Abstract: Electrocardiographic imaging (ECGI) systems are still plagued by a myriad of controllable and uncontrollable sources of error, which makes studying and improving these systems difficult. To mitigate these errors, we developed a novel experimental preparation using a rigid pericardiac cage suspended in a torso-shaped electrolytic tank. The 256-electrode cage was designed to record signals 0.5-1.0 cm above the entire epicardial surface of an isolated heart. The cage and heart were fixed in a 192-electrode torso tank filled with electrolyte with predetermined conductivity. The resulting signals served as ground truth for ECGI performed using the boundary element method (BEM) and method of fundamental solutions (MFS) with three regularization techniques: Tikhonov zero-order (Tik0), Tikhonov second-order (Tik2), truncated singular value decomposition (TSVD). Each ECGI regularization technique reconstructed cage potentials from recorded torso potentials well with spatial correlation above 0.7, temporal correlation above 0.8, and root mean squared error values below 0.7 mV. The earliest site of activation was best identified by MFS using Tik0, which localized it to within a range of 1.9 and 4.8 cm. Our novel experimental preparation has shown unprecedented agreement with simulations and represents a new standard for ECGI validation studies. |
15,549 | Please write an abstract with title: Improved semidefinite programming bounds for binary codes by split distance enumerations, and key words: Upper bound, Algebra, Binary codes, Convex functions. Abstract: We study the maximum size of a binary code A(n, d) with code length n and minimum distance d. Schrijver studied the Terwilliger algebra of the Hamming scheme and proposed a semidefinite program to upper bound A(n, d). We derive additional semidefinite constraints based on a split Terwilliger algebra so that Schrijver’s semidefinite programming bounds on A(n, d) can be improved. In particular, we show that A(18, 4) ≤ 6551 and A(19, 4) 13087. |
15,550 | Please write an abstract with title: High-speed directly modulated Fabry-Perot and distributed-feedback spot-size-converted lasers suitable for passive alignment, unisolated operation, and uncooled environments up to 85°C, and key words: Fabry-Perot, Fiber lasers, Optical coupling, Optical fiber devices, Distributed feedback devices, Semiconductor lasers, Packaging, Transmitters, Laser feedback, Waveguide lasers. Abstract: Semiconductor lasers with narrow far fields are highly desirable because they can be directly coupled to fiber with high-coupling efficiency, eliminating the cost of lenses and extra packaging. Because of their smaller size, they facilitate more compact transmitters, and since they can be used unpackaged, they enable complex integrated optoelectronic devices. We describe the design, fabrication, and performance characteristics of our family of spot-size-converted (SSC) devices with narrow far fields designed for directly modulated (2.5 and 10 Gb/s) uncooled (85/spl deg/C) use. The design consists of a conventional active region buried heterostructure laser coupled to an expander region (consisting of a loosely confining waveguide) through a laterally tapered etch of the active layers. This basic design achieves far fields of /spl sim/16/spl times/10 degrees, suitable for coupling /spl sim/50 percent of the emitted light into a flat cleaved fiber. Distributed feedback (DFB) 1.3- and 1.5-/spl mu/m devices, and 1.3-/spl mu/m Fabry-Perot (F-P) lasers have been implemented in this technology. The devices have dc thresholds from 8-12 mA at 25/spl deg/C and 35-45 mA at 85/spl deg/C, with peak power of >15 mWs over temperature, all similar to non-SSC devices with the same active regions. Both SSC F-Ps and DFBs demonstrate bandwidths of >7 GHz and wide-open eyes at 85/spl deg/C, and reliability suitable for uncooled use. With the DFB device, we also demonstrate a wide open 10-Gb/s eye pattern at room temperature. The laser on a submount demonstrates coupling to a fiber in a v-groove of /spl sim/25% using passive alignment, and sufficient tolerance to back reflection to enable transmission over at least 15 km with typical drive circuitry. Analysis shows that these lasers also have a factor of two improvements in alignment tolerance compared to standard devices in a typical lensed system. The expander impacts the dc and dynamic characteristics of the SSC F-P through the increase in cavity size. The dc and dynamic characteristics of SSC DFBs and standard DFBs are very similar, demonstrating that expander-related absorption and mode transition loss has been almost eliminated in this structure. The SSC-DFBs are, thus, the preferred device for high-speed applications. To our knowledge, the 1.3-/spl mu/m lasers described are the first SSC devices fully suited for use as an uncooled 2.5-Gb/s transmitters up to 85/spl deg/C. The combination of a tailored narrow far field with an edge emitting structure rivals vertical cavity lasers in alignment tolerance for low-cost packaging with superior dynamic and thermal performance. |
15,551 | Please write an abstract with title: Complete Automation of an E-commerce System with Internet of Things, and key words: IoT Packaging, Delivery drone, ESP8266, E-commerce, Anti-theft, IoT security, Industrial Automation Control Systems, WordPress, Android. Abstract: For all practical purposes, it is necessary to build a simple small e-commerce startup using Internet of Things (IoT) to use machines instead of human labor. It would also help human employment by making it easier to start a small e-commerce startup with an affordable budget and limited manpower. The main purpose of this research was to implement an instant IoT-based automated packaging system that can be easily applicable in a small e-commerce system. Initially a demo website is developed where customers can place an order. After submission of the order, the products will be packaged by an automated control system. After the implementation of the prototype, different relevant parameters were measured with the change of load. The cost and feasibility of the method are analysed after that. Lastly various improvements of the prototype are proposed to make it compatible with large scale E-commerce system. |
15,552 | Please write an abstract with title: Discrimination of Walking and Standing from Entropy of EEG Signals and Common Spatial Patterns, and key words: Legged locomotion, Brain, Electroencephalography, Real-time systems, Entropy, Complexity theory, Reliability. Abstract: Recently, the complexity analysis of brain activity has shown the possibility to provide additional information to discriminate between rest and motion in real-time. In this work, we propose a novel entropy-based machine learning method to classify between standing and walking conditions from the sole brain activity. The Shannon entropy has been used as a complexity measure of electroencephalography (EEG) signals and subject-specific features for classification have been selected by Common Spatial Patterns (CSP) filter. Exploiting these features with a linear classifier, we achieved > 85% of classification accuracy over a long period (≈ 25 min) of standing and treadmill walking on 11 healthy subjects. Moreover, we implemented the proposed approach to successfully discriminate in real-time between standing and over-ground walking on one healthy subject. We suggest that the reliable discrimination of rest against walking conditions achieved by the proposed method may be exploited to have more stable control of devices to restore locomotion, avoiding unpredictable and dangerous behaviors due to the delivery of undesired control commands. |
15,553 | Please write an abstract with title: Further results on Nakagami-m parameter estimation, and key words: Parameter estimation, Fading, Equations, Maximum likelihood estimation, Polynomials, Amplitude estimation, Optimization methods, Stochastic processes, Radio link, Design optimization. Abstract: Accurate and efficient estimation of fading parameters are of considerable interest in the design of adaptive radios since they provide an indication of the communication link quality. In this letter, we develop a few simple estimators for the Nakagami-m, parameter by approximating the transcendental equations that arise in the computation of maximum-likelihood and generalized moment based estimators as linear of quadratic polynomials using quasinewton optimization method. Statistical properties and efficacy of the new estimators are validated via Monte Carlo simulations. |
15,554 | Please write an abstract with title: Pseudo-passivity, sensitivity, and stability of wave digital filters, and key words: Digital filters, Steady-state, Frequency, Attenuation, Noise reduction, Circuit stability, Resonance, Passband, Filtering theory. Abstract: Two basic properties of wave digital filters, their property of requiring fewer digits for the multiplier coefficients (to which the property of roundoff noise reduction is related) and their stability, had so far only been inferred from certain analogies with unit element filters. These properties are now proved in a direct way by introducing the concepts of pseudopower, pseudopassivity, and pseudolosslessness, corresponding to the familiar concepts of power, passivity, and losslessness in classical circuits. |
15,555 | Please write an abstract with title: Steady state analysis for an arbitrary number of ZVS PSM FB converters in an Input-Parallel Output-Series configuration, and key words: Switching loss, Voltage, Zero voltage switching, Turning, Electric vehicles, Power electronics, Steady-state. Abstract: The Zero Voltage Phase Shift Modulated Full Bridge has been quite used for the high frequency isolated dc-dc stage of dc charging stations for electric vehicles. Figuring out how to manage high power in only one dc-dc converter is a challenging task and to solve this, the present paper uses Input-Parallel Output-Series association of theses converters. The main goal will be to present a steady state analysis that can be widely employed to characterize this topology with an arbitrary number of converters, turning the process of designing easier and failproof. |
15,556 | Please write an abstract with title: The Influence of Ion Track Characteristics on Single-Event Upsets and Multiple-Cell Upsets in Nanometer SRAM, and key words: Ions, Single event upsets, Random access memory, Testing, Silicon, Transistors, Nanoscale devices. Abstract: The influence of ion track characteristics on single-event upsets (SEU) and multiple-cell upsets (MCUs) is investigated in 65-nm static randon access memory (SRAM) above the heavy-ion linear energy transfer (LET) threshold. The experimental results show that for the incident heavy ions with the same or similar LET but different energies, SEU cross section of low-energy ions is higher than high-energy ions when the LET values are located below the knee point of low-energy SEU event cross section curves. With the LET values increasing above the knee point, SEU cross section of high-energy ions is higher than low-energy ions. When the effective LETs of different-energy ions within the sensitive region are the same, MCU mean, MCU ratio, and MCU event cross sections of high-energy ions are greater than those of low-energy ions due to larger track radius. During the test evaluation of heavy-ion single-event effect (SEE) in nanometer devices, it may be advisable that the SEU LET threshold be obtained with low-energy ions and the SEU saturation cross section be obtained with high-energy ions. |
15,557 | Please write an abstract with title: Robust optical flow from photometric invariants, and key words: Robustness, Optical variables control, Image motion analysis, Photometry, Optical noise, Optical computing, Image processing, Cameras, Fluctuations, Light sources. Abstract: Optical flow is widely in use in the field of image processing. In general, optical flow is computed from luminance images. However, optical flow based on luminance information highly depends on moving shadows, varying shading and moving specularities due to camera movement, and fluctuations in the light source intensity. In this paper, we propose a novel method to compute optical flow based on photometric invariants. A major drawback of photometric invariants and their derivatives is that they are unstable for certain RGB values. Therefore, we study on photometric invariant derivatives and noise propagation yielding a condence measure indicating the stability of the corresponding photometric invariant derivatives. This condence measure is integrated into the optical flow framework to provide robustness against noisy data. Experimental results show that the proposed method significantly outperforms optical flow estimation that does not take the instability of the invariants into account. |
15,558 | Please write an abstract with title: Lightning risk assessment of wind turbines in mountainous areas, and key words: Wind turbines, Lightning, Surfaces, Wind farms, Physics, Corona, Risk management. Abstract: Modern wind turbines are extremely vulnerable to lightning strikes, especially in mountainous areas. Therefore, it is necessary to accurately assess the lightning strike risk of wind turbines considering the complex terrain in mountainous areas. A lightning risk assessment model basing on the self-consistent leader inception and propagation model (SLIM) was proposed in this paper, in which the mountain is treated as a standard cone considering the terrain height and ground slope angle. This model is used to calculate the lightning collection area of the wind turbine on different terrain heights, ground slope angles, and the location of the wind turbine. Then, this model is used to evaluate the influence on lightning strike risk with different terrain topography. Finally, according to the evaluation results, some optimized design for lightning protection devices of wind turbines were proposed. |
15,559 | Please write an abstract with title: Fron the Editor - Chalk it up, and key words: Education, Equations, Control systems, Remuneration, Finishing, DVD, Computer aided instruction, Watches, Outsourcing, Educational institutions. Abstract: Presents the editorial for this issue of the publication. |
15,560 | Please write an abstract with title: PI regulation of the aeromechanical model of a Direct-Drive Wind Turbine, and key words: Rotors, Process control, Aerodynamics, Regulation, Stability analysis, Wind turbines, Numerical models. Abstract: Although Direct-Drive Wind Turbines (DDWT) were previously studied, there is no consensus in the role played by the highly non-linear aerodynamic behaviour of the wind turbine rotor. In this work, some results are reported in terms of the aerodynamic derivatives.Further, a numerical example of the use of Proportional Integral (PI) control applied to the aeromechanical model of a DDWT is presented. The designed control accomplish a typical wind turbine control specification. It can be concluded that, for the linearized model, the PI control is enough to guarantee regulation. |
15,561 | Please write an abstract with title: A Survey of Biometric and Machine Learning Methods for Tracking Students’ Attention and Engagement, and key words: Biometrics (access control), Tracking, Psychology, Focusing, Machine learning, Reliability, Feeds. Abstract: The skills of focusing and paying attention are critical to student learning. According to Piontkowski et al. [40], "Educators often talk about attention as a general mental state in which the mind focuses on some special feature of the environment. As such, attention is considered essential for learning. It is hard to believe that the student who disregards instruction will benefit from it. Thus, the teacher needs reliable signs of the student's state of attention."It is challenging, however, for instructors to ascertain signs of student attention in large classrooms with many students. Additional challenges arise in online classrooms, which often limit instructors to watching students' body language in video feeds, where they cannot see, for example, distractions in the students' environment. Biometrics and machine learning approaches can help instructors evaluate their students' level of attentiveness in both physical and online classrooms and introduce appropriate interventions to improve learning outcomes. Although the field of automated attention tracking research is steadily amassing new publications, no survey works have charted the progress of research or encouraged new research. We have filled this gap with this survey of salient works that use biometrics and machine learning to track attention. Specifically, we focus on discussions and analyses of methods that use eye gazing, facial movements and expressions, behavioral biometrics such as body movements, analyses of brainwave signals and psychological states, and multimodal biometrics. We conclude with a discussion of promising future research directions with focus on multimodal biometric techniques. |
15,562 | Please write an abstract with title: Double Fourier Integral Method for PWM Rectifiers to Estimate Harmonics of Uncontrolled Rectifiers, and key words: Pulse width modulation, Harmonic analysis, Inductors, Distortion, Voltage control, Manganese, Mathematical model. Abstract: PWM rectifiers are gradually replacing controlled and uncontrolled rectifiers as the preferred technology in industrial applications. While estimating harmonic current emissions from theses devices is well known when connected to clean supplies, there is a need to improve the understanding of harmonic current emissions from PWM rectifiers arising when high levels of background voltage harmonic distortion are present. This paper presents a mathematical approach to describing the harmonic current emissions of an uncontrolled rectifier, as a special case of PWM rectifier, as a first stage to a understanding PWM rectifier harmonic emissions when high level of background harmonics are present. The approach uses derived mathematical equations to assess the influence of background voltage distortion on the harmonic current distortion of the rectifier. The mathematical expression for the harmonic current is derived using the Double Fourier Integral method. |
15,563 | Please write an abstract with title: A systems approach to diagnostic ambiguity reduction in naval avionic systems, and key words: Aerospace electronics, Weapons, Lakes, Maintenance, Assembly, Bidirectional control, Instruments, Automatic testing, System testing, Radar. Abstract: There are inefficiencies in the current United States (U.S.) Navy maintenance system. These inefficiencies waste resources and manpower. Platform-level diagnostics is relegated primarily to built-in-test (BIT). However, BIT is not entirely reliable. Enhanced Organizational level (0-level) diagnostic functionality is needed to reduce ambiguities between multiple weapons Replaceable Assemblies (wRA's) and interconnects; thus markedly reducing rates of "cannot duplicate/no fault found" (A-799) conditions. This paper describes an effort at the Naval Air Systems Command (NAVAIR) Lakehurst to improve avionic diagnostics at both the 0- level and the Intermediate level (I-level) through the bi-directional exchange of information between these maintenance levels and the use of virtual instrumentation at the 0- level. The Integrated Diagnostics and Automated Test Systems (IDATS) team at NAVAIR Lakehurst has established an environment which closely models the 0-level and I-level in terms of dataflow. This environment was used to demonstrate several concepts which can be used to augment BIT, enabling smarter maintenance decisions at both levels of maintenance. These concepts were demonstrated using a data processor from an F-14 Avionics weapons Group 9 (AWG-9) radar system. |
15,564 | Please write an abstract with title: Comparison of Sensitivity-Based and ADMM-Based DMPC Applied to Building Automation, and key words: Scalability, Optimal control, Prediction algorithms, Convex functions, Behavioral sciences, Building automation, Convergence. Abstract: Model predictive control (MPC) has widely been used in both research and application in recent years. Methods from the field of distributed MPC (DMPC) are especially designed to handle large systems or applications with demands in terms of flexibility and modularity. Two distinctive algorithms for DMPC, namely Sensitivity-based DMPC (SENSI) and the Alternating Directions Method of Multipliers (ADMM) are compared in this paper concerning their applicability to building automation. First, the algorithms are presented and applied to two academic examples in order to analyze the convergence behavior and scalability of the algorithms. It is shown that ADMM and SENSI algorithm maintain constant computation time per agent with increasing number of agents in the network. Afterwards, the algorithms are applied to a building automation system in a setpoint control and an energy optimal control scenario. Both algorithms are capable of solving the corresponding optimal control problems (OCP) which demonstrates the applicability of the algorithms to building automation. Furthermore, the differences of the algorithms in scope of this application are analyzed showing a better performance of the ADMM algorithm in case of setpoint control. However, the sensitivity-based approach needs less communication steps than the ADMM in an energy optimal control scenario. |
15,565 | Please write an abstract with title: Assessing Suitability of Various Battery Technologies for Energy Storages : Lithium-ion, Sodium-sulfur and Vanadium Redox Flow Batteries, and key words: Batteries, Mathematical model, Lithium-ion batteries, Vanadium, US Department of Defense, Discharges (electric), Computer aided software engineering. Abstract: The different state of the art industry battery technologies for large-scale energy storage applications are analyzed and compared in this paper. Focus has been paid to Lithium-ion, Sodium-sulfur and Vanadium redox flow batteries. The paper introduces employed methodology of the comparison and modeling. Typical case studies have been evaluated to present strong and weak sides of selected technologies on real applications. |
15,566 | Please write an abstract with title: A new prediction model for MPEG coded video: two-sided Markov-renewal model (TSMR), and key words: Predictive models, Traffic control, Neural networks, Video compression, Telecommunication traffic, Context modeling, Statistical distributions, Layout, Resource management, Transform coding. Abstract: This paper introduces a new prediction-modeling framework for VBR video. The idea is to model the durations of the variations in the source traffic using a modified Markov-renewal process. These variations correspond to taking the first difference in each of the decomposed (I, P, B, and GOP) frame size process, which has the effect of transforming it into a stationary one. The resulting Markov states can be classified into two groups: low-variation and high-variation. A low-variation state corresponds to a small difference between adjacent frames or group of frames, whereas a high-variation state corresponds to a significant change in size. The values of the variations are then modeled to match both the autocorrelation structure and marginal distribution function. The resulting model is called the two-sided Markov renewal model (TSMR) and is designed specifically for prediction. A simple Markov decision policy is developed and used for this purpose. In order to evaluate the model, real-time predictions are carried out on a number of MPEG coded video streams, simulation results are discussed and compared with their empirical counterparts. The model is parsimonious in terms of parameters used and memory required. Computation of the prediction algorithm is fast and simple. Only minimal knowledge of the source traffic is required to drive the predictor machine. It is most suitable for the task of dynamic bandwidth allocation In which only very little knowledge about the source is available in advance. |
15,567 | Please write an abstract with title: Frequency criteria for bounded-input--Bounded-output stability of nonlinear sampled-data systems, and key words: Stability criteria, Asymptotic stability, Pulse width modulation, Linear systems, Sampling methods, Feedback loop, Frequency response, System testing, Time varying systems. Abstract: Sufficient conditions for absolute stability in the bounded-input-bounded-output sense are obtained for a class of nonlinear sampled-data systems. The criteria are identical to those establishing absolute stability in a global stability sense for the same class of autonomous nonlinear sampled-data systems. |
15,568 | Please write an abstract with title: Dynamic priority assignment in IEEE 802.11e ad-hoc networks, and key words: Intelligent networks, Ad hoc networks, Telecommunication traffic, Quality of service, Traffic control, Media Access Protocol, Throughput, Road accidents, Mobile ad hoc networks, Wireless LAN. Abstract: This paper contributes to the issue of QoS differentiation in wireless ad hoc networks. The focus is on the IEEE 802.11e MAC protocol that we propose to enhance by introducing a mechanism to "dynamically" assign priorities to traffic. Priorities are hop-by-hop assigned according to network resource availability and load in order to satisfy throughput requirements of each class of traffic |
15,569 | Please write an abstract with title: Non-negative Matrix Factorization For Network Delay Matrix Completion, and key words: Correlation, Estimation, Approximation algorithms, Prediction algorithms, Delays, Probes. Abstract: Accurate estimation of delays in a network is crucial for its management. In real-world applications, it is not always possible to conduct on-demand measurements regularly on the overall network. Doing so is costly and time-consuming, and it is also possible that not all the equipments respond to the probes sent in the network. In this paper, we formulate the network delay prediction problem as a non-negative matrix factorization problem with piecewise constant coefficients of the approximate instantaneous representation of data. We choose this approach to utilize the strong spatial and temporal correlation that appear in network delay data. To solve this factorization problem, we consider two different algorithms: an alternating projected gradient algorithm and the NeNMF algorithm. We finally study the efficiency of our approach on two datasets. The first dataset is a synthetic dataset produced by a simulator that we have designed, and the second one is composed of RTT measurements from RIPE Atlas. |
15,570 | Please write an abstract with title: Design of a novel wide-area backup protection system, and key words: Power system protection, EMTP, Communications technology, Communication system security, Power system security, Proposals, Communication system control, Optical fiber communication, Optical fiber devices, Computational intelligence. Abstract: With the fast development of communication technology, some of the functions of power security defense system in CHINA are promising to be enhanced. The proposal is to add an intelligent analyzing and controlling function in key process of protection functionality. Therefore, a novel wide-area backup protection system is reported in this paper. The proposed system comprises a master system and several local units. The system is arranged as three layers. Connected together via fiber-optic communication links, these devices can process intelligent algorithms based on data collected locally. The architecture and algorithm of the system are also introduced. The protection system is co-simulated using EMTP and NS2. The data generated by EMTP are then used in a program to validate the performance of the proposed technique regarding the speed of response, computational burden and reliability. Numerical simulation results corroborate the availability and superior performance of the proposed scheme. |
15,571 | Please write an abstract with title: A Ring-Oscillator-Based Degradation Monitor Concept with Tamper Detection Capability, and key words: Degradation, Temperature sensors, Temperature measurement, Integrated circuits, Annealing, System-on-chip, Reliability. Abstract: Refurbished chips (i.e., chips re-used legally in circular economy) and counterfeited chips (i.e., used chips fraudulently sold as new) are a growing concern for the industry because of their poor reliability. In this context, various solutions for the detection of such chips have been presented in the literature, several of which make use of performance degradation detection circuits. In this work, we propose a new concept for a degradation monitor, which can (1) obtain the age of the chip and (2) detect if the chip has been tampered through high-temperature annealing. To demonstrate the principles of this concept, we designed a novel and versatile array of addressable ring-oscillators (ROs), a type of circuit that has been widely proposed to detect fraudulently recycled chips. The array IC was manufactured in a 28 nm CMOS technology and utilized as a reliability test vehicle. Using this chip, we performed an extensive study of degradation phenomena that affect the ROs, as well as the recovery that they undergo after the stress application has ceased. Finally, we examined the impact that temperature annealing has on the recovery of circuit degradation, thus fraudulently concealing prior usage of the chip. |
15,572 | Please write an abstract with title: Terrain Simplification Algorithm in Radio Wave Propagation Prediction, and key words: Prediction algorithms, Predictive models, Analytical models, Electromagnetics, Dictionaries, Computational modeling, Telecommunications. Abstract: Due to the diversity of landforms, an appropriate threshold should be selected for the simplification of different landforms. The distribution of simplified index was obtained by preprocessing the terrain data, and the distribution was used as a reference for threshold selection. In order to study the influence of terrain simplification on the prediction of complex electromagnetic environment, a visibility algorithm used in the regular model of terrain and a probability-based power propagation model are proposed. The visibility algorithm used in the regular model of terrain is based on the relationship between planes and triangular planes in three-dimensional space. The visible triangular surfaces and the corresponding visible area of the triangular surfaces in the terrain can be calculated with the visibility algorithm. The probability-based power propagation model uses the results of the visibility algorithm to calculate the propagation probability and calculates the change of receiver power in combination with the radio wave propagation characteristics. The spatial visibility algorithm and the probability-based power propagation model can be applied to the complex electromagnetic environment to analyze the influence of terrain simplification on prediction accuracy. The minimum error between the simulation result of the probability-based power propagation model and the Wireless InSite simulation result is 0.5018dB, and the average error is 1.5039dB. |
15,573 | Please write an abstract with title: Harmonics and Their Impact in Determining the Method of Reactive Power Compensation in Electrical Grids, and key words: Reactive power, Power filters, Capacitors, Industrial engineering, Harmonic analysis, Transformers, Mathematical models. Abstract: The paper presents the modeling of different ways to compensate for the reactive power of an electrical grid using Matlab, where the parameters of transformers and filters used in this exam are calculated. The network is modeled, the calculated parameters of transformers and filters are entered. The paper discusses different cases to compensate the reactive power and presents the process of selecting a way providing low-value harmonics. Note that the grid is three-phase and balanced and filters are installed on 5.5 KV grid. The results prove that the best way to compensate the reactive power is to install the resonant shunt filter tuned on (5th) harmonic and the (2nd) damped filter tuned on the (7th) harmonic. |
15,574 | Please write an abstract with title: Design of an Internet-enabled Hospital in the Home Information System for ambulatory care, and key words: Internet, Hospitals, Information systems, Australia, Medical treatment, Information management, Biomedical informatics, Biomedical engineering, Relational databases, Costs. Abstract: The development of a set of Internet-enabled forms and a relational database management system known as "Hospital in the Home Information System" (HHIS) is discussed. HHIS is an information management and communication system for ambulatory care. Hospital patients who can be treated and cared for in their own homes and do not necessarily have to be based in the hospital are assigned to an ambulatory care program. The ambulatory care program is used to manage post-acute, and acute care at home as an alternative to inpatient care. The HHIS system attempts to bring together both hospital and community based aspects of care to these "hospital in the home" patients. The aim of the project is to develop a user-friendly, database-driven system accessible via the Internet, which will replace the current paper-based system. The system design and technologies used in the implementation of the system are outlined, along with a brief description of the trialing of the system. |
15,575 | Please write an abstract with title: Smart Residence Assistance Based on Emotion, and key words: CNN, MobileNet-V2, IFTTT, Haar Cascade. Abstract: For a variety of reasons, everyday stress is a major issue for humans. People may require emotional support or a method of stress relief during stressful situations. Therefore, in order to offer emotional support, a system or software is created that can analyze a person's feelings or emotions by recognizing facial expressions and carrying out specific actions, like playing music, that will support them emotionally and calm their mind or give them a pleasant feeling. Human expression is crucial for determining a person's current state of mind and mood; Several facial characteristics, including the eyes, cheeks, forehead, and even the curve of the grin, may be used to infer and comprehend the mood that a person is now experiencing. The brain and body of people can be calmed and relaxed by music, a form of art. Taking these two ideas and combining them, our project focuses on identifying a person's emotion through their facial expression and playing music based on the mood that is detected. This will relax or likely serene the individual, and it can also play music more quickly based on mood, saving time from seeking for different songs and allowing for the creation of software that can be adopted anywhere. |
15,576 | Please write an abstract with title: Power-saving mode parameter optimization, and key words: Energy consumption, Wireless LAN, Power engineering computing, Power engineering and energy, Delay, Wireless networks, Intelligent networks, Batteries, Network interfaces, Energy efficiency. Abstract: We have studied the impact of the length of the BP on the energy and delay performance of PSM stations for our generic wireless system. We have shown that there exists an optimal length of the BP that achieves minimum total energy consumption, and that it depends on the number of STAs and the offered load through a very simple relationship. We have also derived the relationship between the length of the BP and the average packet delay and have validated it by simulation. We have proposed an adaptive scheme based on the formulae we have derived from the analysis, and our results confirm that an adaptive PSM can further improve the performance of the system. |
15,577 | Please write an abstract with title: The trigger control system for the COMPASS, and key words: Control systems, Optical fiber networks, Optical scattering, Data acquisition, Optical fiber couplers, Fiber lasers, Mesons, Spectroscopy, High speed optical techniques, Optical buffering. Abstract: The architecture, features and performance of the TICS (Trigger Control System) designed and built for COMPASS, a fixed target experiment at CERN's SPS, are discussed. The TICS is a two channel optical distribution system which is able to broadcast information from a single source to about 1000 destinations using a passive optical fiber network. The TCS distributes control information and trigger together with an event identifier and provides reference timing in all front-end cards with a precision of 50 ps RMS. Furthermore it generates random triggers for monitoring of the detector performance during data taking. |
15,578 | Please write an abstract with title: Logistics and IoT Based Survival Strategies to Facilitate Supply Chain Engineering During Pandemic, and key words: COVID-19, Knowledge engineering, Pandemics, Customer services, Supply chains, Transportation, Companies. Abstract: Logistics is the management of the flow of things between the point of origin and the point of consumption and has a direct impact on the economy of a country. Logistics management is the part of supply chain engineering that plans, implements and controls the storage of goods and services so as to meet the corporations or customer requirements in a cost effective way. During the pandemic when every sector took the brunt of lockdown, logistics was one of the sectors where work was not halted but there were many challenges that the logistics firms had to face in planning and executing the transportation of goods in order to ensure their survival and growth in the market. This research paper focuses on how logistics companies should devise their sales approach during a pandemic situation to ensure that their sales target is not affected. It also highlights the different IoT strategies adopted by logistics firms in UAE for smooth flow of operations. The research study concluded that by keeping a well drafted pandemic plan with an apt list of strategies, the companies can avoid a dip in their graph and prepare itself for any future contingencies. |
15,579 | Please write an abstract with title: Automatic Optimization of Volterra Equalizer With Deep Reinforcement Learning for Intensity-Modulated Direct-Detection Optical Communications, and key words: Kernel, Hardware, Optimization, Memory management, Computational complexity, Optical distortion, Reinforcement learning. Abstract: Volterra nonlinear equalizer (VNLE) is widely investigated for linear and nonlinear distortions compensation in optical communication systems. Despite the powerful equalization ability, the required high computation complexity limits its real-time implementation on the hardware. To simplify the complexity, the structure of the VNLE needs to be well optimized. Traditionally, manual optimization of the VNLE structure is blind, and traversal search is inefficient and may result in multiple structures. Therefore, the optimal VNLE structure with the best equalization performance and the lowest equalization complexity for the same performance are still unclear. In this paper, a novel search method named AutoVolterra is proposed to efficiently find the optimal structure of VNLE by using deep reinforcement learning to learn the functional relationship between structure parameters and optimization objectives. Experimental demonstration of 50-Gb/s PAM-4 signal transmission in a bandwidth-limited intensity modulation and direct detection system is performed to verify the effectiveness of AutoVolterra. Both AutoVolterra and greedy search are applied to Volterra feedforward equalizer, Volterra decision feedback equalizer and Volterra-Pruning. The bit error ratio and equalizer's complexity results suggest that the structure searched by AutoVolterra can optimize the equalization performance, and also significantly reduce the complexity, and improve the pruning quality of VNLE to assist real-time implementation on the hardware. Besides, AutoVolterra can also provide a reliable equalization performance benchmark and complexity benchmark to help us verify the actual capabilities of other algorithms. |
15,580 | Please write an abstract with title: A Deep Learning-Based Cyberattack Detection System for Transmission Protective Relays, and key words: Cyberattack, Protective relaying, Substations, IEC Standards, Transmission line measurements, Power systems, Protocols. Abstract: The digitalization of power systems over the past decade has made the cybersecurity of substations a top priority for regulatory agencies and utilities. Proprietary communication protocols are being increasingly replaced by standardized and interoperable protocols providing utility operators with remote access and control capabilities at the expense of growing cyberattack risks. In particular, the potential of supply chain cyberattacks is on the rise in industrial control systems. In this environment, there is a pressing need for the development of cyberattack detection systems for substations and in particular protective relays, a critical component of substation operation. This article presents a deep learning-based cyberattack detection system for transmission line protective relays. The proposed cyberattack detection system is first trained with current and voltage measurements representing various types of faults on the transmission lines. The cyberattack detection system is then employed to detect current and voltage measurements that are maliciously injected by an attacker to trigger the transmission line protective relays. The proposed cyberattack detection system is evaluated under a variety of cyberattack scenarios. The results demonstrate that a universal architecture can be designed for the deep learning-based cyberattack detection systems in substations. |
15,581 | Please write an abstract with title: Active Power Limiter for Static Synchronous Generators in Renewable Applications, and key words: Power control, Phase locked loops, Transient analysis, Steady-state, Power electronics, Synchronous generators, Damping. Abstract: Virtual synchronous generators (VSGs) are an interesting control approach for the connection of renewable energies to the electrical grid through power converters. These power devices have shown their ability to enable grid supportive services in terms of both voltage and frequency. The implementation form shown in this article allows islanding and grid-forming operation of the device. A challenging problem that arises is to make the grid supportive services compatible with the instantaneous power limits that renewable energies can provide. In this article, an active power limiter (APL) is proposed, designed, and tested to manage output active power of power converters connected to a renewable source. The implementation of APL is tested on the synchronous power controller (SPC) that emulates inertia and output admittance. The simulation and experimental results shown in this article confirm that the proposed controller can efficiently control and limit the active power while still providing grid supportive services. |
15,582 | Please write an abstract with title: Non-invasive assessment of hemodynamics in adolescents with arterial tonometry and Doppler ultrasound during a conventional stress test, and key words: Ultrasonic imaging, Stress, Testing, Hemodynamics, Cardiology, Heart, Bicycles, Laboratories, Probes, Hospitals. Abstract: Aiming to improve early diagnosis of people at cardiovascular risk, we are developing a custom set-up to allow an adequate hemodynamic analysis of heart function and arterial circulation properties, based on non-invasive acquisition of pressure (arterial tonometry) and flow (Doppler ultrasound techniques) waveforms. In an experimental setting 15 healthy volunteers were examined on a custom made supine bicycle. Able to record usable data throughout the bicycle test and automatically analyse derived hemodynamic parameters such as compliance, peripheral resistance, etc., we also applied the set-up in a real clinical environment. This research contributes to a more complete cardiovascular examination without significant additional discomfort for the patient or prolongation of the test protocol. |
15,583 | Please write an abstract with title: Performance Analysis and Prediction of Students Results Using RBF Networks, and key words: Analytical models, Databases, Radial basis function networks, Predictive models, Performance analysis, Data mining. Abstract: The size of educational databases has been found to steadily increase over the years. Stored databases contain hidden information. In this document, predictive modelling approaches along with the concepts of grouping and association rules mining are used to extract this hidden information. This hidden information is used to provide valuable insight to both student and tutors to work on the improvement of progress. A predictive model is formulated using RBF which will be useful in understanding the progress of the students. The instructor will be able to understand from the predictive models, the category of students who are already performing well and those that will perform better if given the right attention and approach at the right time. |
15,584 | Please write an abstract with title: Research on Multi-constrained Scheduling Model of Truck Appointment System Considering Congestion and Emission, and key words: Congestion, Emission, Scheduling Model, Truck Appointment System. Abstract: Container truck congestion is one of the key issues affecting the efficiency of container terminals. To alleviate the congestion of the container truck at the gate, the Truck Appointment System (TAS) has been employed at many container ports. Based on the existing TAS, a truck appointment multi-constrained scheduling model based on Mixed Integer Nonlinear Programming (MINLP) is established, which takes into account the related constraints of the appointment change cost, gate queuing cost, congestion time cost and idle emission cost in the morning and evening peak periods. Aiming at the lowest integrated operation cost of truck and port companies, a two-stage truck reservation scheduling algorithm is used to optimize the solution and obtain the best container truck scheduling scheme. The simulation results of small, medium and large scales show that multi-constrained TAS can better serve container truck and port companies and effectively reduce their comprehensive operating cost, compared with conventional TAS. |
15,585 | Please write an abstract with title: Investigation of Photoacoustic Effect on Different Materials, and key words: Choppers (circuits), Photoacoustic imaging, Measurement by laser beam, Microphones, Amplifiers, Magnetic resonance imaging, Laser beams. Abstract: Medical imaging is an important and vital tool in the diagnosis and treatment of diseases. For this reason, the search for innovation in the need for improvement in imaging systems is increasing day by day in order to examine the internal structure of organs in detail and to provide early diagnosis and treatment of diseases. In the past century, various imaging techniques such as X-ray radiography, computed tomography (CT), elastography, ultrasonography (USG), magnetic resonance imaging (MRI), positron emission tomography (PET) etc. have been developed by many researchers and in addition to diagnosing the internal structure of the human body, scientists have also tried to optically image cellular and molecular functions in the body using light sources. In this regard, new and cheaper techniques for basic biological research in tissue imaging are constantly being investigated. In this study, the photoacoustic effect, which is a new noninvasive technique and also the basis of photoacoustic imaging, was investigated on different materials such as brass, absorber and styrofoam with the photoacoustic effect measurement system set-up created in our laboratory. In the paper, the results of the photoacoustic effect measurements determined for materials with different densities will be presented as a photoacoustic spectroscopy study and some implications will be made for the fundamentals of photoacoustic imaging. |
15,586 | Please write an abstract with title: Deep Neural Network (DNN) Audio Coder Using A Perceptually Improved Training Method, and key words: Deep learning, Training, Quantization (signal), Acoustic distortion, Speech coding, Neural networks, Stochastic processes. Abstract: A new end-to-end audio coder based on a deep neural network (DNN) is proposed. To compensate for the perceptual distortion that occurred by quantization, the proposed coder is optimized to minimize distortions in both signal and perceptual domains. The distortion in the perceptual domain is measured using the psychoacoustic model (PAM), and a loss function is obtained through the two-stage compensation approach. Also, the scalar uniform quantization was approximated using a uniform stochastic noise, together with a compression-decompression scheme, which provides simpler but more stable learning without an additional penalty than the softmax quantizer. Test results showed that the proposed coder achieves more accurate noise-masking than the previous PAM-based method and better perceptual quality then the MP3 audio coder. |
15,587 | Please write an abstract with title: A Fast Anomaly Diagnosis Approach Based on Modified CNN and Multisensor Data Fusion, and key words: Feature extraction, Fault diagnosis, Support vector machines, Data integration, Sensors, Convolutional neural networks, Sensor fusion. Abstract: In this article, a modified convolutional neural network (CNN) algorithm, namely 1D-GAPCNN-SVM, is proposed to address the early anomaly diagnosis problem. Considering the fact that traditional 2D-CNN based approaches contain too many model parameters and are not suitable for fast diagnosis applications using multisensor 1-D time-series measurements, 1D-CNN is introduced to deal with this problem. To reduce the number of parameters, a 1-D global average pooling layer is designed to substitute the fully connected layer with two or three layers. In order to further improve the diagnosis accuracy, a nonlinear multiclass support vector machine (SVM) is adopted to replace the traditional Softmax classifier as the final discriminator. Raw multisensor 1-D time-series data are directly fed into the diagnosis model, then the diagnosis result can be automatically generated. Two experiments, which are rolling bearing and GPS anomaly detection, have been conducted to demonstrate the effectiveness and the superior performance of the proposed method compared to the conventional SVM, K-nearest neighbor, deep neural network (DNN), and traditional 2D-CNN. |
15,588 | Please write an abstract with title: A Joint Processing-MUSIC Algorithm in Multipath Environment Based on Non-uniform Line Array, and key words: Multiple signal classification, Array signal processing, Sensor arrays, Estimation, Signal to noise ratio, Direction-of-arrival estimation, Acoustic arrays. Abstract: Due to the multipath effect in the shallow sea, the passive orientation of underwater target is affected so that the orientation performance decreases sharply. In addition, because of the limited size of the underwater detection platform, the bulky conventional linear array is unusable. Considering to these factors, the joint processing-MUSIC (JMUSIC) algorithm for direction of arrival (DOA)estimation in the shallow sea multipath environment, which is based on the non-uniform line array of acoustic vector sensors, is studied in this paper. First, it is verified with simulation that the weighted-MUSIC algorithm to non-uniform line array has better DOA estimation performance than the MUSIC algorithm at low signal-to-noise ratio. Next, aiming at the correlation of multipath signals, the performance characteristics of Toeplitz decorrelation algorithm, spatial smoothing decorrelation algorithm, and modified MUSIC (MMUSIC) algorithm are analyzed. Then, the orientation estimation of coherent signals can be realized with the decorrelation of signals. Followed, the array signal processing algorithm based on the fourth-order cumulant can suppress the additive Gaussian noise effectively, in addition, it can also virtually expand the element of the array to distinguish more signal sources. At the end, the result of simulation experiments shows that the JMUSIC algorithm can not only estimate the incident azimuth angles of multiple coherent sources effectively, but also has high estimation accuracy and good estimation performance at a low signal-to-noise ratio. |
15,589 | Please write an abstract with title: Two de-anonymization attacks on real-world location data based on a hidden Markov model, and key words: Data privacy, Geology, Urban areas, Hidden Markov models, Predictive models, Robustness, Trajectory. Abstract: The increasing demand for smart context-aware services and the widespread use of location-based services (LBS) have resulted in the proliferation of mobile devices equipped with geolocation sensors (including GPS, geomagnetic field sensor, accelerometer, proximity sensor, et cetera). As a result, service providers and telecommunications companies can collect massive mobility datasets, often for millions of subscribers. To provide a degree of privacy, dataset owners normally replace personal identifiers such as name, address, and social security number (SSN) with pseudorandom identifiers prior to publication or sale. However, it has been repeatedly shown how sensitive information can be easily extracted or inferred from individuals' mobility data even when personal identifiers are removed. Knowledge of the extent to which location data can be de-anonymized is therefore crucial, in order to design appropriate privacy mechanisms that can prevent re-identification. In this paper, we propose and implement two novel and highly effective de-anonymization techniques: the Forward, and the KL algorithms. Our work utilizes a hidden Markov model (which incorporates spatio-temporal trajectories) in a novel way to generate user mobility profiles for target users. Using a real-world reference dataset containing mobility trajectories from the city of Shanghai (GeoLife, a reference dataset also used in previous studies), we evaluate the robustness of the proposed attack techniques. The results show that our attack techniques successfully re-identify up to 85% anonymized users. This significantly exceeds current comparable de-anonymization techniques, which have a success rate of 40% to 45%. |
15,590 | Please write an abstract with title: Fast surgical instruments identification system to facilitate robot picking, and key words: Location awareness, Productivity, Automation, Mechatronics, Service robots, Instruments, Manuals. Abstract: Surgical instrument sorting, sterilization, and inspection in the hospital are highly time-consuming and labor-intensive due to the sheer volume and variety of tools. It is not easy to find the automation replacement since the diversity and similarity of these instruments bring numerous challenges to their identification, and hence the problem remains largely unresolved. In this paper, we design a system incorporating supervised deep learning networks and conventional methods to realize surgical instruments’ fast and robust identification to facilitate robot picking. Our approach overcomes the difficulties of manually determining the region of interest (ROI) for surgical instruments. We fasten this process through a proposed labeling strategy and hence avoid the high manual labor and time costs. Two types of surgical instruments datasets are created through the design for the first time and are openly available. Robot experiments are performed to demonstrate the effectiveness of our strategy in facilitating surgical instrument automation. |
15,591 | Please write an abstract with title: Reviving Iterative Training with Mask Guidance for Interactive Segmentation, and key words: Training, Image segmentation, Analytical models, Codes, Annotations, Computer architecture, Benchmark testing. Abstract: Recent works on click-based interactive segmentation have demonstrated state-of-the-art results by using various inference-time optimization schemes. These methods are significantly more computationally expensive than feedforward approaches, as they run backward gradient passes during inference. Moreover, backward passes are not supported in popular mobile frameworks, which complicates the deployment of such methods on embedded devices. In this paper, we study design choices for interactive segmentation and discover that state-of-the-art results can be obtained without any additional optimization schemes. We propose a simple feedforward model for click-based interactive segmentation that employs the segmentation masks from previous steps. It allows not only segmenting an entirely new object but also correcting an existing mask. We analyze the performance of models trained on different datasets and observe that the choice of a training dataset has a large impact on the quality of interactive segmentation. We find that the models trained on a combination of COCO and LVIS with diverse and high-quality annotations outperform all existing models. The code and trained models are available at https://github.com/saic-vul/ritm_interactive_segmentation. |
15,592 | Please write an abstract with title: Parametric smoothing of spline interpolation, and key words: Smoothing methods, Spline, Interpolation, Kernel, Piecewise linear techniques, Closed-form solution, Convolution, DICOM, Signal reconstruction, Digital filters. Abstract: Cubic spline interpolation is commonly applied in signal reconstruction problems. However, overshooting between samples is normally observed, and typically the reconstructed signal does not preserve the statistical properties of the original data or other desired properties such as monotonicity or convexity. These undesirable effects are minimized in the case of piecewise linear (PWL) interpolation, of course with a discontinuous derivative. In this paper we use a parameterized family of splines, named /spl alpha/splines, that allows a smooth transition from PWL (/spl alpha/ = 0) to cubic spline interpolation (/spl alpha/ = 1). Closed-form expressions that relate /spl alpha/ to the smoothness and variance of the interpolation are derived. Moreover, a fast interpolation technique based on digital filtering can be applied. |
15,593 | Please write an abstract with title: Multi-time-step Segment Routing based Traffic Engineering Leveraging Traffic Prediction, and key words: Heuristic algorithms, Scalability, Telecommunication traffic, Routing, Prediction algorithms, Search problems, Complexity theory. Abstract: Based on the concept of source routing, Segment Routing (SR) allows the source or ingress node to inject a sequence of segment labels into the packet header and specify the routing path. Due to the routing flexibility, SR has been widely used to solve traffic engineering problems such as minimizing the maximum link utilization. However, most of the prior works only solve the problem in a single snapshot without considering network traffic dynamics, resulting in frequent traffic reroute. To cope with this problem, we focus on solving the segment routing based traffic engineering problem by taking into account the future traffic changes. We formulate the multi-time-step segment routing problem and leverage traffic prediction to extend the length of routing cycles. Due to the large search space of multi-time-step segment routing problem, we further propose a heuristic algorithm for incrementally recomputing the segment routing paths in sub-second. Through extensive experiments on real backbone network traffic datasets, we show that our proposal can achieve a near-optimal performance in term of maximum link utilization while significantly reducing the number of routing changes. |
15,594 | Please write an abstract with title: Research on Prediction of Port Cargo Throughput based on PCA-BP Neural Network Combination Model, and key words: Analytical models, Computational modeling, Neural networks, Predictive models, Big Data, Data models, Principal component analysis. Abstract: Effective prediction can help people make reasonable and accurate judgments about the future development level of things, and then guide and regulate production management activities. With the development of big data technology, data prediction technology is no longer limited to the traditional time series prediction and simple causal prediction, but more biased towards machine learning, AI technology and so on. However, there are some limitations in using big data for prediction, such as data size and threshold problem. In this paper, the combination model of Principal Component Analysis (PCA) method and BP Neural Network algorithm is applied to the prediction. Firstly, the dimension of a large number of index data is reduced through PCA, and the effective information is retained while the amount of data is reduced. Then the BP Neural network model is used to predict. This paper chooses Dalian port cargo throughput as an example to verify the effectiveness of the model, the results show that the model has higher accuracy and efficiency. |
15,595 | Please write an abstract with title: A New Transformer Winding RLC Model to Study the Effect of the Disk Space Variation on FRA Signature, and key words: Deformable models, Analytical models, Windings, Transfer functions, Transformers, SPICE, Frequency response. Abstract: The mechanical and electrical stability of the power and distribution transformers is essential by electricity providers and consumers. The transfer function method, specifically, Frequency Response Analysis (FRA) is quite well-known as the most accurate and reliable technique for determining the mechanical faults in transformer active part. This study presents a comprehensive method for transformer winding disk space variation (DSV) modeling using SPICE netlists. It is based on the elaborated winding RLC model, and the model data are validated with a practical work in this research work. The FRA measurements of normal and deformed scenarios are conducted and evaluated with the introduced technique. The behavior of the FRA spectra for normal and DSV scenarios is analyzed, and the model is validated and revealed a similar trend for both practical and netlists-based winding models. The proposed winding RLC model will enable researchers to study the effect of the other mechanical deformations on the frequency response curve without conducting the irreversible faults to the winding structure. |
15,596 | Please write an abstract with title: HodgeNet: Graph Neural Networks for Edge Data, and key words: Laplace equations, Interpolation, Neural networks, Computer architecture, Signal processing, Tools, Task analysis. Abstract: Networks and network processes have emerged as powerful tools for modeling social interactions, disease propagation, and a variety of additional dynamics driven by relational structures. Recently, neural networks have been generalized to process data on graphs, thus being able to learn from the aforementioned network processes achieving cutting-edge performance in traditional tasks such as node classification and link prediction. However, these methods have all been formulated in a way suited only to data on the nodes of a graph. The application of these techniques to data supported on the edges of a graph, namely flow signals, has not been explored in detail. To bridge this gap, we propose the use of the so-called Hodge Laplacian combined with graph neural network architectures for the analysis of flow data. Specifically, we apply two graph neural network architectures to solve the problems of flow interpolation and source localization. |
15,597 | Please write an abstract with title: Investigation of Visual Reconstruction Techniques Using Mobile Robots in Confined Environments, and key words: Cameras, Three-dimensional displays, Robots, Simultaneous localization and mapping, Robot vision systems, Visualization, Sensors. Abstract: The use of mobile robots to explore and supervise confined and uneven environments such as pipes, caves, and galleries improves operational safety by removing human operators from these dangerous areas. In many types of inspections, the robot must generate realistic, colored, and geometrically accurate maps, which experts can use to study and assess the environment remotely at a safe location. This paper investigates two approaches for visual reconstruction of confined environments: a point cloud registration combined with visual odometry and the RTAB-Map SLAM method. Real experiments performed inside a closed corridor and within an underground gold mine show that both approaches are suitable for estimating the robot's pose and perform 3D mapping. Preliminary results indicate that the point cloud registration generates denser maps suitable for visual inspection, and RTAB-Map provides less noisy maps proper for navigation. |
15,598 | Please write an abstract with title: Theoretical and experimental analysis of vehicular diffraction radiation patterns, and key words: Pattern analysis, Horn antennas, Antenna measurements, Frequency, Antenna radiation patterns, Electromagnetic radiation, Electromagnetic measurements, Dipole antennas, Physical theory of diffraction, Vehicle safety. Abstract: An experimental investigation as well as a theoretical one are presented for the determination of vehicular diffraction radiation patterns in the millimeter wavelengths. Theoretical analysis is carried out using asymptotic electromagnetic simulations employing both of the method of rays and of the uniform theory of diffraction "UTD" This study is carried out in the frequency band SO GHa - 75 GHz. |
15,599 | Please write an abstract with title: Study of the Radiation Characteristics of Saucer-Shape Transducer, and key words: Vibrations, Resistance, Transducers, Voltage measurement, Voltage fluctuations, Sea measurements, Resonant frequency. Abstract: In order to study the radiation characteristics of the Saucer-Shape transducer, the vibration mode and electro-acoustic performance of the transducer were simulated and analyzed by using finite element software, and a transducer prototype was designed and manufactured. The measured results show that within the frequency band of 1.5~3kHz, the transmission voltage response fluctuation is less than 3dB, the source level is more than 196dB, the source level at the resonance point is more than 200dB, and the hydrostatic pressure resistance is more than 5MPa. The results show that the Saucer-Shape transducer not only has wide working band but also enables large transmitting power. |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.