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检索条件"任意字段=7th International Conference on the Art, Science, and Engineering of Programming, Programming 2023"

共 1140 条记录，以下是401-410 订阅

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Analysing depth contours for robust real-time stereo vision 7

Analysing depth contours for robust real-time stereo vision

引用

7th international conference on Imaging for Crime Detection and Prevention, ICDP 2016

作者： Khan, Tariq Biglari-Abhari, Morteza Gimel'farb, Georgy Dept. of Computer Science University of Auckland New Zealand Dept. of Electrical and Computer Engineering University of Auckland New Zealand

ISBN: (纸本)9781785614019

Fast and accurate reconstruction of a 3D scene, e.g. for tracking and recognition of subject or predicting crowd behaviour, with robust real-time intelligent vision systems is essential for crime detection and prevention. Depth contours characterising a high resolution stereo depth map can play an important role. Our depth contour generation designed for the Symmetric Dynamic programming Stereo (SDPS) depth map, called the Salmon algorithm can generate number of critical contours in real-time. SDPS algorithm is one of the highest throughput stereo matching techniques, being available on both the GPU and FPGA hardware platforms. We build ground truths to check the accuracy of the Salmon contours and compare the performance to a conventional border follower algorithm available in the OpenCV library. Experimental results show that our algorithm is as accurate as the OpenCV border follower but it is more than six times faster. © 2016 Institution of engineering and Technology. All rights reserved.

关键词： Dynamic programming

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Research on Intelligent Algorithm of Transformer Area Topology Recognition Based on Distribution Network Measurement Data 7

Research on Intelligent Algorithm of Transformer Area Topolo...

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7th IEEE conference on Energy Internet and Energy System Integration, EI2 2023

作者： Wang, Huiqin Ling, Jiahuan Yang, Zicong Li, Huiquan Liu, Yi Li, Duo Hu, Wei Guo, Qiuting Shenzhen Nanshan Power Supply Bureau of China Southern Power Grid Co. Ltd Shenzhen China Tsinghua University Department of Electrical Engineering Beijing China

ISBN: (纸本)9798350345094

the files of the topological relationship in the lowvoltage distribution network are not clear and difficult to check, and the wrong topological information will bring great difficulties to the line loss statistics and investigation in the transformer area. Based on the measurement data of low-voltage distribution network, this paper presents a method to identify the topological relationship of transformer area. Firstly, a self-organizing feature mapping algorithm is used to determine the number of transformers in a large number of transformers and user data. Secondly, the time-wavelet energy spectrum of transformer and user measurement data is extracted as the high frequency component, and the mathematical model of transformer and user is established. the results of transformer and user identification are obtained by using Gurobi solver. Finally, the measurement data of the actual distribution network are used for verification and analysis, and a high recognition accuracy is obtained. the algorithm can be extended to other areas, which greatly saves the manpower and material resources of manual recognition. © 2023 IEEE.

关键词： Integer programming

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Casual Discovery for Complex Mission Planning with Subtask Dependencies 7

Casual Discovery for Complex Mission Planning with Subtask D...

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7th international conference on Big Data and Information Analytics, BigDIA 2021

作者： Liang, Wenqian Zhang, Zhuxin Xiao, Wenhua Zhang, Dayu Niu, Liyuan Tao, Jingjing College of Systems Engineering National University of Defense Technology Changsha China North Automatic Control Technology Institute Taiyuan China Academy of Military Sciences Beijing China

ISBN: (纸本)9781665424660

Discovering causal structure among a set of previously-unseen subtasks which have inner dependencies is a fundamental problem in real-world environments. Unlike existing hierarchical multitask RL approaches that focus on task descriptions such as natural language or formal language that describe what the agent should do at a high level, we develop a Casual Inference Solver with Subtask Graph (CISG), which performs complex reasoning with subtasks, properties and relationships among them to find the optimal subtask to execute. To overcome the difficulty of efficient exploration, upper confidence bound (UCB) is adopted to produce the intrinsic reward. Meanwhile, a novel inductive logic programming (ILP), which utilizes the classification and regression tree (Cart) to infer the precondition function for subtasks with Gini impurity, is utilized to pretrain our CISG agent to achieve the optimal subtask to execute. Our experimental results on StarCraft II domains show that our method is able to perform complex reasoning to accurately find the casual relationship among subtasks and make a mission planning more efficiently than existing hierarchical RL methods. © 2021 IEEE.

关键词： Formal languages

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Cellular automata for topology control in wireless sensor networks using matlab

Cellular automata for topology control in wireless sensor ne...

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7th FTRA international conference on Future Information Technology, FutureTech 2012

作者： Athanassopoulos, Stavros Kaklamanis, Christos Kalfountzos, Gerasimos Papaioannou, Evi Computer Technology Institute and Press Diophantus Patras University Campus 26504 Rion Greece Department of Computer Engineering and Informatics Patras University Campus 26504 Rion Greece

ISBN: (纸本)9789400745155

We use cellular automata for simulating topology control algorithms in wireless sensor networks (WSNs) using the Matlab programming environment. Our objective has been to provide experimental evidence in order to (i) investigate whether potential researchers who lack sound programming skills but would like to promptly implement their ideas with confidence should use cellular automata rules and Matlab in order to experimentally evaluate their works and (ii) evaluate how the selection of a Moore or a Margolus neighborhood in cellular automata models can affect the performance of simulations of topology control algorithms in WSN. © Springer science+Business Media Dortdrecht 2012.

关键词： Cellular automata

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Implementing real-time scheduling daemon in general purpose operating system unix 7

Implementing real-time scheduling daemon in general purpose ...

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7th international conference on Real Time Computing Systems and Applications

作者： Kim, JH Kim, SW Kim, DY Choi, W Kangwon Natl Univ Dept Comp Sci Chunchon 200701 South Korea

ISBN: (纸本)0769509304

In this paper;we propose a method implementing real-time scheduling in the Unix, a general-purpose operating system (GPOS), by considering the deadline of real-time tasks. Our approach employs a special task called the scheduling daemon, which deals with all the real-time tasks in a system and makes just one task become a ready-to-run state and others sleep state. this causes the Unix scheduler to deal with only one real-time task as a rule, and thus bypasses time sharing-based scheduling strategy of the Unix. therefore, all the real-time tasks are scheduled by the strategy of the scheduling daemon. We implement the scheduling daemon on the Unix, and build a real-time platform in or der that application programmers develop real-time systems more effectively. Moreover, we show, the superiority of our approach through extensive experiments.

关键词： Computer science Data engineering Databases Information technology Operating systems Processor scheduling programming profession Real time systems Sleep Time sharing computer systems

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Coordination, Organizations, Institutions and Norms in Agent Systems IV 1

引用

丛书名： Lecture Notes in Computer science

1000年

作者： Jomi Fred Hübner Eric Matson Olivier Boissier Virginia Dignum

ISBN: (数字)9783642004438

ISBN: (纸本)9783642004421

this book constitutes the thoroughly refereed post-workshop proceedings of the international Workshop on Coordination, Organization, Institutions and Norms in Agent Systems, COIN 2008, held as two events at AAMAS 2008, the 7th international Joint conference on Autonomous Agents and Multiagent Systems in Estoril, Portugal, in May 2008 and at AAAI 2008, the 23rd AAAI conference on artificial Intelligence in Chicago, IL, USA, in July 2008. this volume is the 4th in a series focussing on issues in Coordination, Organizations, Institutions and Norms (COIN) in multi-agent systems. the 17 papers contained in this volume are the revised and extended versions of a selection of papers presented and discussed in these two workshops. the papers are organized in the following topical sections: from coordination to organization, from organization to coordination, formalization of norms and institutions, design of norms and institutions, as well as applications.

关键词： artificial Intelligence Computer Communication Networks Software engineering/programming and Operating Systems Software engineering Logics and Meanings of Programs programming Techniques

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ERODRL: Efficient ISP Routing Optimization via Deep Reinforcement Learning 21

ERODRL: Efficient ISP Routing Optimization via Deep Reinforc...

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21st IEEE international Symposium on Parallel and Distributed Processing with Applications, 13th IEEE international conference on Big Data and Cloud Computing, 16th IEEE international conference on Social Computing and Networking and 13th international conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Chen, Changrui Chen, Xiaolin Zeng, Deze Kunming University of Science & Technology School of Information Engineering & Automation Kunming China Qiongtai Normal University School of Information Science & Technology Haikou China China University of Geosciences School of Computer Science Wuhan China

ISBN: (纸本)9798350329223

Routing optimization is a critical issue to Internet Service Providers (ISPs) since it is highly related to the network traffic management efficiency. State-of-the-art approaches utilize Reinforcement Learning (RL) technology to minimize Maximum Link Utilization (MLU). However, these approaches have two significant shortcomings: 1) the rudimentary structure of Neural Networks (NNs) restricts their ability to capture network traffic patterns accurately, resulting in sub-optimal critical flow selection, and 2) the training algorithm is ineffective in utilizing experience, leading to training instability and prolonged duration. To overcome the above shortcomings, we propose ERODRL, a network traffic management scheme which incorporates a RL based critical flow selection strategy and a flow rerouting algorithm, towards the goal of MLU minimization. In details, the RL based critical flow selection strategy incorporates a Convolutional Neural Network (CNN) block to analyze traffic features and utilizes the GELU activation function to improve traffic distribution matching. It then introduces full connection layers to the actor and critic networks respectively, allowing for detailed traffic behavior analysis. To improve training efficiency, a trust region algorithm is also involved fast the training speed of RL agent. After the critical flow are identified, the flow routing problem is formulated into Linear programming (LP) form and a low-complexity rerouting solution is proposed to better fit the traffic patterns of ISPs. Extensive simulation results are conducted and the results demonstrate that ERODRL improves training speeds by 2.3 to 8.7 times compared to previous RL-based schemes, and reduces the MLU by 43.24% and 16.01% averagely compared to state-of-the-art solutions. © 2023 IEEE.

关键词： Reinforcement learning

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Optimal Capacity of Wind thermal Pumped-Storage Baling Transmission System 7

Optimal Capacity of Wind Thermal Pumped-Storage Baling Trans...

引用

7th IEEE conference on Energy Internet and Energy System Integration, EI2 2023

作者： Wu, Xiong He, Mingkang He, Wenwen Li, Xiaofei Wang, Penglei Su, Yibo School of Electrical Engineering Xi'an Jiaotong University Xi'an China China Three Gorges Corporation Wuhan China

ISBN: (纸本)9798350345094

Wind and thermal power baling transmission is an important way for the consumption of renewable energy, and determining their capacity ratio has become a challenging problem. Pumped storage provides flexible regulation, which can mitigate the impact of uncertainty in renewable energy output. this paper first establishes a pumped storage power station model and proposes a two-layer capacity optimization model for the baling transmission system of wind, thermal, and storage. the upper layer aims to minimize the total system cost, while the lower layer targets the minimum cost of typical daily dispatch. the impact of uncertainty in renewable energy output on the system's reserve capacity is addressed using opportunity constraints. By employing sequence operations, the probabilistic opportunity constraints are converted into deterministic constraints, transforming the problem into a mixed-integer linear programming problem that is easier to solve. the case study results indicate that configuring energy storage can effectively reduce system costs. Simultaneously optimizing the capacity of wind, thermal, and storage power sources can reduce daily operating costs, thereby lowering total costs, validating the effectiveness of the model. © 2023 IEEE.

关键词： Operating costs

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Interval T-S fuzzy modeling based on minimizing 1-norm on approximation error 7

Interval T-S fuzzy modeling based on minimizing 1-norm on ap...

引用

7th international conference on Computer engineering and Networks, CENet 2017

作者： Liu, Xiaoyong Zhou, Shufang Xiong, Zhonggang College of Engineering and Technology Zunyi Normal College Zunyi563006 China Affiliated Hospital of Zunyi Medical College Zunyi563003 China

As the obtained data in many practical applications tend to be uncertain or inaccurate, the conventional modeling methods characterized by the deterministic model for this type of data have become undesirable. Taking linear programming, the T-S fuzzy model and some ideas from 1-norm minimization into consideration, a novel method identifying interval fuzzy model (INFUMO) consisted of the upper and lower T-S fuzzy model (referred to as f U and f L ) has been studied in this paper. In order to solve the INFUMO, optimization problems based on minimizing 1-norm with respect to the approximation error corresponding to f U and f L are constructed. Finally, the optimization problems are solved by the linear programming and INFUMO is thus constructed. To demonstrate its effectiveness, the proposed method is applied to identify the interval T-S model of static and dynamic nonlinear model with noise. the proposed method can not only deal with uncertain data to be usually modeled as the deterministic model, but also has better robustness. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Linear programming

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A Mathematical Model for 3D Bin Packing in Robotic Mobile Fulfillment Systems 30

A Mathematical Model for 3D Bin Packing in Robotic Mobile Fu...

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30th ISTE international conference on Transdisciplinary engineering: Leveraging Transdisciplinary engineering in a Changing and Connected World, TE 2023

作者： Sontheimer, Moritz Chou, Shuo-Yan Kuo, Yu-Lin Mechanical Engineering Department National Taiwan University of Science and Technology Taiwan Department of Industrial Management National Taiwan University of Science and Technology Taiwan

ISBN: (纸本)9781643684406

Robotic mobile fulfillment systems have received increased attention in high throughput supply chain solutions. these systems are complex and require understanding of the single components and their interaction. Components include picking, replenishing, stock keeping unit allocation and task allocation. this paper focuses on the component of stock keeping unit allocation which is an NP-Hard combinatorial optimization problem and belongs to the cutting & packing problems. the problem is defined via a mathematical model which is the first bin packing model for pods with compartments in RMFS. the resulting mixed integer programming model is then solved for small instances via Gurobi, a state-of-the-art solver for mathematical programming. the model is verified with a small-scale example. To obtain a solution for larger instances, we develop a simulated annealing approach and compare it to the exact model. Different operators are compared and evaluated on heterogeneous toy-examples of different size. Finally, a packing case with stock keeping units and pods derived from an industrial case is explored, which demonstrated the application of our packing algorithm to large instances in the industrial environment. © 2023 the Authors.

关键词： Robotics

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