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检索条件"任意字段=4th International Conference on Art, Science, and Engineering of Programming, Programming 2020"

共 1471 条记录，以下是1181-1190 订阅

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Comparative Analysis for Loss Control in Power Transmission System via Composite Compensation Scheme

Comparative Analysis for Loss Control in Power Transmission ...

引用

Power engineering Application (ICPEA), IEEE international conference in

作者： Saiful Amri Ismail Ismail Musirin Mohd Helmi Mansor Zulkiffli Abdul Hamid A.V. Senthil Kumar Azlina Abdullah Shahrizal Jelani School of Electrical Engineering College of Engineering Universiti Teknologi MARA Shah Alam Selangor Malaysia Department of Electrical and Electronics Engineering College of Engineering Universiti Tenaga Nasional Kajang Selangor Malaysia Department of MCA Hindusthan College of Arts and Science Coimbatore India

Loss minimization in power system is still relevant in power system community. Its presence may lead to overcompensation or under-compensation if no proper compensation strategy is properly planned, especially a reliable optimization technique. One important initiative to alleviate the transmission burden which meets the load demand can be rectified by composite compensation scheme. this paper proposed a composite compensation which integrates the multiunit of distributed generation (DG) and optimal reactive power dispatch (ORPD) which identifies the amount of reactive power to be dispatched by the generators in the system. In this study, a new and fast mutation technique is introduced to the original evolutionary programming (EP) optimization technique. It is termed Integrated Cloning Accelerated Mutation Evolutionary programming (ICAMEP). ICAMEP was introduced to alleviate the weakness in the standalone EP and AIS which normally stuck as local optima. the study identifies optimal locations and sizes for composite compensation in the power transmission system, demonstrating its superiority over traditional EP and artificial immune systems (AIS). the impact of multi DGs installation, validated on IEEE 30-Bus Reliability Test System (RTS) was analyzed which can help the relevant utility to make future plan and decision.

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Context-Aware Deep Convolutional Neural Network Application for Fire and Smoke Detection in Virtual Environment for Surveillance Video Analysis 4th

Context-Aware Deep Convolutional Neural Network Application ...

引用

4th international conference on Smart Trends for Computing and Communications, SmartCom 2020

作者： Ashiquzzaman, Akm Min Oh, Sung Lee, Dongsu Lee, Jihoon Kim, Jinsul School of Electronics and Computer Engineering Chonnam National Uniersity Gwangju Korea Republic of

ISBN: (纸本)9789811552236

Detecting fire and smoke in video footage is crucial that is surveillance analysis. In a disastrous situation or after the accident occurred, it is vital to pinpoint the origin and gathers proper context. However, processing the data this kind of video is often labor-intensive and needs human assistance and moderation. In this research, we have proposed a trained neural network that van detects the fire and smoke from the images and combined this model to the context-aware video analysis. the module first detects the context-based images or the important images from the video frame with time sources which later processed by the deep convolutional neural network for assisting and detecting fire and smoke. We also implemented this model in the virtual environment for quick deployment and universal using ability. the deep convolutional neural network was trained with state-of-the-art normalizing method for maximum accuracy (99%). As a result, this novel analytic application can be a unique and state-of-the-art tool for surveillance video analysis. © 2021, the Editor(s) (if applicable) and the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Smoke

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Asset Management in and Redesign of Chemical Supply Chains

Asset Management in and Redesign of Chemical Supply Chains

引用

IEEE international conference on Industrial Informatics (INDIN)

作者： P. K. Naraharisetti I. A. Karimi R. Srinivasan D. Wang Process Science & Modelling (PSM) Institute of Chemical and Engineering Sciences Singapore Department of Chemical & Biomolecular Engineering (ChBE) National University of Singapore Singapore ChBE-NUS and PSM-ICES Singapore PSM-ICES Singapore

Asset management involves the allocation of resources and capital in a supply chain such that the shareholder value is maximized. Supply chain redesign deals with investments, disinvestments and relocation of production facilities and distribution centers. Existing research has been focused on investments only. In this work, we present a novel mixed integer linear programming model that considers an end-to-end supply chain of a single multi-national corporation and address issues such as production allocation, material distribution, strategic material supply contracts, depreciation, and import-export regulatory factors, in addition to disinvestments.

关键词： Asset management Supply chains Contracts Chemical processes Chemical engineering Investments Production facilities Raw materials Ice Resource management

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An optimization model based interval power flow analysis method considering the tracking characteristic of static voltage generator

An optimization model based interval power flow analysis met...

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Electrical engineering and Control Technologies (CEECT), conference on

作者： Dong Qiu Shaohua Han Zhaojie Tang Tengfei Hou Suqian Power Supply Company State Grid Jiangsu Electric Power Co.Ltd. Suqian China School of Automation Nanjing University of Science and Technology Nanjing China

ISBN: (纸本)9781665499002

With a large scale of renewable energy connected to the distribution system, the problem of uncertainty will become more obvious due to the huge fluctuation and intermittent characteristics. To ease the effects of uncertainty, static var generator (SVG) is often used to track reactive power fluctuations in the distribution system and compensate. Based on this background, an interval power flow method based on an optimization model is presented in this paper. the tracking characteristic of SVG is involved in this method. the presented method is more efficient and accurate than the existing methods due to its linearized features and considering the tracking characteristic of SVG. Finally, a modified 33-bus distribution system is used to demonstrate the effectiveness of the proposed algorithm.

关键词： Electrical engineering Reactive power Renewable energy sources Analytical models Uncertainty Fluctuations Linear programming

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Network Coding Based Efficient Topology Construction and Flow Allocation Method for Satellite Networks 5th

Network Coding Based Efficient Topology Construction and Fl...

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5th EAI international conference on 6G for Future Wireless Networks, 6GN 2022

作者： Wang, Ruisong Kang, Wenjing Fang, Shengliang Ma, Ruofei School of Information Science and Engineering Harbin Institute of Technology Weihai264209 China School of Space Information Space Engineering University Beijing101416 China

ISBN: (纸本)9783031360107

As a key component of the sixth generation (6G) communication network, satellite network has attracted extensive attention due to its advantages of wide coverage and high capacity. However, the current limited resources are difficult to meet the growing data requirements. therefore, this paper considers a multicast satellite network and uses network coding technology to improve the resource utilization of inter satellite links. Furthermore, we are committed to optimizing network topology and coding flow allocation to improve network capacity. the proposed optimization problem is formulated as an integer linear programming problem, which is difficult to solve. In order to improve computing efficiency, we propose a heuristic topology construction and flow allocation method. the flow allocation problem is equivalent to the maximum flow problem of multiple source-to-destination pairs for a given network topology. Based on this, the topology construction method is given by iteratively deleting the links that have the least impact on the overall performance. Finally, the simulation results indicate that the proposed method can significantly improve the network capacity compared with the traditional methods. © 2023, ICST Institute for Computer sciences, Social Informatics and Telecommunications engineering.

关键词： Network coding

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the new Non-equidistant Optimum GM(1,1) of Line-Drawing Data Processing in Computer Aided Design

The new Non-equidistant Optimum GM(1,1) of Line-Drawing Data...

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第四届国际计算机新科技与教育学术会议(2009 4th international conference on Computer science & Education)

作者： Youxin LUO Zheming HE College of Mechanical Engineering Hunan University of Arts and Science Changde 415000 P.R.China College of Mechanical Engineering Hunan University of Arts and Science Changde 415000 P.R.China

Based on grey system, a new kind of nonequidistant optimum grey model GM(1,1) to line-drawing data processing in computer aided design was proposed. the model optimized the background value and modified the initial value x(t1) of response function. the method of precision inspection was also introduced. then, the programming was authorized with MATLAB7.6 language. Two examples were given, their results were compared with the results based other Grey models, respectively. the method can be used for model establishing on equal interval, as well as on non-interval. Moreover, GM(1,1) model's fitting precision and prediction is advanced and the scope of application is enlarged. the model is simple and practical, and has a generalizing value in the field of CAD.

关键词： non-equidistant sequence optimizing grey model background value CAD Data Processing

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Real-Time Retail Smart Space Optimization and Personalized Store Assortment with Two-Stage Object Detection Using Faster Regional Convolutional Neural Network 4th

Real-Time Retail Smart Space Optimization and Personalized S...

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4th international conference on Computing and Network Communications, CoCoNet 2020

作者： Dantu, Nitin Vamsi Vasudevan, Shriram K. Department of Computer Science and Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India K. Ramakrishnan College of Technology Samayapuram Tamilnadu India

ISBN: (纸本)9789813369863

In the present-day scenario of the retail environment, there is a tendency of customers to do prolonged shopping. During their constant efforts to purchase products of their choice, they bat around the entire store. they choose a product and continue exploring for more. While their further exploration, there is a possibility that they might encounter a better product that may satisfy their needs. So, there is a tendency that they may pick up the new product, compare with the existing product and leave the latter behind if they find the new product to be of a better purpose to their use, causing the initial product to be misplaced. there might be a possibility that empty spaces be created between products that might look sparse and lower stock display if not properly monitored. the primary goal of this research is smart space management and personalized store assortment by using computer vision. that is, wherever there are empty spaces created, we constantly monitor, and whenever there is any product misplaced, we send an automated notification to corresponding staff. We use state-of-the-art computer vision technology to address this issue. All the processing is done in real time and the system is found to be functionally very stable and works under all ideal conditions. © 2021, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Object detection

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Fairness and Utilization in Multipath Network Flow Optimization

Fairness and Utilization in Multipath Network Flow Optimizat...

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IEEE international conference on Industrial Informatics (INDIN)

作者： Tatsuo Ishida Kengo Ueda Takahiro Yakoh Center for System Integration Engineering School of Integrated Design Engineering Keio University Japan Department of System Design Engineering Faculty of Science and Technology Keio University Japan

Multipath routing is expected to improve the degree of control in network flow managements. therefore, multi-criteria designs will become indispensable for the next generation of multipath routing algorithms and protocols. this paper shows a theoretical approach to multipath routing problems as a multi- objective optimization of network flows. Two objectives, total link utilization and bandwidth fairness for connections, are introduced into an objective formulation which is solved with a nonlinear programming solver. the numerical analysis shows that drastic fairness improvement can be achieved with small decline of utilization. Compared to standard multipath routing, this approach of bandwidth fair multipath routing can achieve a variance of bit-rate for all connections of 0.0123% with a decline of utilization of 11.4%. In case of single path, a variance of 0.0168% with decline of utilization of 39.7% can be achieved. Finally, the controllability of multipath routing is discussed.

关键词： Load management Multicast algorithms Bandwidth Design engineering Control systems Routing protocols Telecommunication traffic Web and internet services Systems engineering and theory Multiprotocol label switching

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Comparison of Regression Analysis, artificial Neural Network and Genetic programming in Handling the Multicollinearity Problem

Comparison of Regression Analysis, Artificial Neural Network...

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4th international conference on Modelling,Identification and Control(ICMIC 2012)

作者： A.Garg School of Mechanical and Aerospace Engineering Nanyang Technological University 50 Nanyang Ave Singapore 639798

Highly correlated predictors in a data set give rise to the multicollinearity problem and models derived from them may lead to erroneous system analysis. An appropriate predictor selection using variable reduction methods and Factor Analysis (FA) can eliminate this problem. these methods prove to be commendable particularly when used in conjunction with modeling methods that do not automate predictor selection such as artificial Neural Network (ANN), Fuzzy Logic (FL), etc. the problem of severe multicollinearity is studied using data involving the estimation of fat content inside body. the purpose of the study is to select the subset of predictors from the set of highly correlated predictors. An attempt to identify the relevant predictors is comprehensively studied using Regression Analysis, Factor Analysis-artificial Neural Networks (FA-ANN) and Genetic programming (GP). the interpretation and comparisons of modeling methods are summarized in order to guide users about the proper techniques for tackling multicollinearity problems.

关键词： Multicollinearity, Factor Analysis, Genetic programming, Principal Component Analysis, artificial Neural Network

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Towards the Software Life Cycle Cost for Integrated Software Product Line Systems

Towards the Software Life Cycle Cost for Integrated Software...

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IEEE international conference on Industrial Informatics (INDIN)

作者： Makoto Yoshida Noriyuki Iwane Department of Information & Computer Engineering Okayama University of Science Okayama Japan Department of Information Sciences Hiroshima City University Hiroshima Japan

Quality, cost and delivery are the most crucial factors to be managed in developing software systems in the industry. the management of these software systems includes not only resolving the necessarily technical problems but also the organizational problems and the business problems. Companies depending upon their environments decide their own strategies to solve these problems. this paper describes the way we experimented in these several years to reduce the cost for software systems at the company to meet some software development solutions. the efforts of web-based application developments by the toolkit, the source code generator we developed, are evaluated. the toolkit extended to the software product line systems is described. And, the cost for the software life cycle is estimated.

关键词： Costs Software systems Companies Quality management Software development management Computer industry programming Application software Software tools Life estimation

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