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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 1466 条记录，以下是1211-1220 订阅

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A COC Oriented Parallel Computing Strategy for Irregular Applications

A COC Oriented Parallel Computing Strategy for Irregular App...

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international conference on Ubiquitous Information Technologies and Applications (ICUT)

作者： Jingjing Zhou Xiaofei Zhang College of Information & Electronic Engineering Zhejiang Gongshang University Hangzhou China School of Information Engineering University of Science and Technology Beijing Beijing China

Sparse and unstructured computations are widely involved in scientific and engineering applications. It means that data arrays could be indexed indirectly through the values of other arrays or non-affine subscripts. Data access pattern would not be known until runtime. So far all the parallel computing strategies for this kind of irregular problem are single network topology oriented, which cannot fully exploit the advantages of modern hierarchical computing architecture, like grid. We proposed a hybrid parallel computing strategy RP, shorted for "Replicated and Partially-shared", to improve the performance of irregular applications in the COC (Cluster of Clusters) environment. A detailed comparison is made between our strategy and other traditional models, along with experimental results demonstrating its effectiveness. A class of practical irregular applications employed RP strategy could obtain much shorter execution time and better scalability in heterogeneous network based computation environment.

关键词： Parallel processing programming profession Computer networks Concurrent computing Runtime Scalability Data engineering Computational modeling Educational institutions Network topology

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Velocity Planning of the Autonomous Rail Rapid Transit with Consideration of Obstacles

Velocity Planning of the Autonomous Rail Rapid Transit with ...

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conference on Vehicle Control and Intelligence (CVCI)

作者： Dongming Han Jinxiang Wang Yongjun Yan Mengyang Wu Zhongsheng Lin Yin Guodong School of Mechanical Engineering Southeast University Nanjing China

ISBN: (数字)9781728184975

ISBN: (纸本)9781728184982

A velocity planning strategy for the autonomous-rail rapid transit (art) based on the pseudospectral (PS) method is proposed in this paper. the PS method is used as a replanning algorithm provided with its real-time performance. the multi-particle model is adopted in the dynamics model of art. the energy consumption of art is chosen as the optimization goal, and the arrival time and arrival velocity are taken as constraints to ensure economic efficiency and punctuality of the art. When encountering obstacles such as pedestrians and lower-speed vehicles, the velocity planning strategy based on the PS method is applied to re-plan velocity of the art. Performance of the proposed strategy is evaluated by comparing with the strategy to track the original velocity planned offline by dynamic programming (DP) algorithm. the simulation results in Matlab/Simulink- Trucksim environment illustrate that the PS based method has better real-time performance than the DP based method. the proposed planning strategy also makes art arrive at the next station punctually, as well as leading to 36.21% reduction of energy consumption compared with the DP based method. Results of the jerk of the art with PS strategy also show better performance in passenger comfort.

关键词： Rails Energy consumption Simulation Subspace constraints Real-time systems Planning Mathematical model

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Mutation Testing-Based Evaluation Framework for Evaluating Software Clone Detection Tools 1st

Mutation Testing-Based Evaluation Framework for Evaluating S...

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1st international and 4th National conference on Reliability and Safety engineering, INCRS 2018

作者： Gautam, Pratiksha Saini, Hemraj Department of Computer Science & Engineering Amity School of Engineering and Technology Amity University Madhya Pradesh GwaliorMadhya Pradesh India Jaypee University Information Technology Solan WaknaghatHimachal Pradesh India

ISBN: (纸本)9789811537455

Mutation testing has become a prominent research area in the past few decades. the mutation testing has been basically used in the testing society. It is a type of software testing where we mutate (small change, modification in the program) source code using mutant operators by introducing potential new bugs in the program code without changing its behavior. Analogously, mutant operators generate new clones by copy/paste editing activities. However, several software clone detection tools and techniques have been introduced by numerous scientists and a large number of tools comprises for a perceivable evaluation. Moreover, there have been a lot of efforts to empirically assess and analyze variant state-of-the-art tools. the current abstraction exhibits that various aspects that could leverage the legitimacy of the outcome of such assessment have been roughly anticipated due to lack of legitimized software clone benchmark. In this paper, we present a mutation testing-based automatic evaluation structure for valuating software clone detection tools and techniques. the proposed framework uses the edit-based taxonomy of mutation operator for assessing code clone detection tools. the proposed structure injects software clones in the source code automatically, and after that, we evaluate clone detection tools. the clone detection tools are evaluated on the basis of precision (number of corrected clones) and recall (total number of clones). We visualize that such a framework will present a valuable augmentation to the research community. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Mutation analysis Mutation operators Mutation techniques Software clone

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Rearch on AI industry prediction based on Markov model 22

Rearch on AI industry prediction based on Markov model

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Proceedings of the 4th international conference on Advanced Information science and System

作者： Li Xu Lu Jian Xun Zhang School of Information Technology and Engineering Tianjin University of Technology and Education China

ISBN: (纸本)9781450397933

artificial intelligence has become the core driving force of a new round of industrial transformation, and scientific and accurate artificial intelligence industry development prediction is of great strategic significance for improving the quality of industrial development and future industrial chain development planning. Taking the development of artificial intelligence industry in Tianjin as an example, the future development trend of artificial intelligence industry is predicted and analyzed by the quantitative comparison and analysis of Markov linear programming mathematical model. Using variable substitution method, the quadratic programming model is transformed into a linear programming model, which not only has mature solution software, but also can be solved analytically, which is more convenient and reliable. the Markov property programming model reduces the time, simplifies the complexity, reduces the difficulty of model solving, and the prediction accuracy value is high, with the average error value accounting for 2.96%, 2.07%, and 5.03%. Finally, combined with the artificial intelligence refinement industry, the countermeasures to cultivate and accelerate the development of artificial intelligence industry in Tianjin are discussed from three levels: basic industry support, technology industry innovation and application industry expansion.

关键词： artificial intelligence industry forecast Markov linear programming model analysis

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A Bidding Strategy Model for Flexible Resource Aggregators Based on Multi-Agent Reinforcement Learning

A Bidding Strategy Model for Flexible Resource Aggregators B...

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New Energy and Power engineering (ICNEPE), international conference on

作者： Zeming Wang Mengxuan Li Yuqi Geng Yubing Liu Shipeng Sun Xin Ma School of Automation Nanjing University of Science and Technology Nanjing University of Science and Technology Nanjing China Nanjing University of Science and Technology School of Energy and Power Engineering Nanjing University of Science and Technology Nanjing China School of Information and Electrical Engineering Shandong Jianzhu University Jinan China

ISBN: (数字)9798331516086

ISBN: (纸本)9798331516093

As more and more flexible resource aggregators enter the competition in the electricity spot market, they all face the problem of adjusting bidding strategies to maximize profits. To address the bidding strategy problem of flexible resource aggregators, we propose the MARL-SCCP model based on multi-agent reinforcement learning. Firstly, we model each flexible resource aggregator as an intelligent agent participating in strategy learning. Secondly, we use stochastic constraint programming to handle the uncertainty caused by external factors in the model. Finally, we introduce neural networks into the WoLF-PHC algorithm to better handle larger state space and significantly improve the solution speed. Experimental results demonstrate that using multi-agent reinforcement learning to simulate the bidding process of various flexible resource aggregators is feasible, and better strategies can be learned after a fewer number of iterations.

关键词： Constraint handling Power engineering Uncertainty Electricity Neural networks Stochastic processes Reinforcement learning programming Intelligent agents Faces

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Immutable Strings Are of Higher Demand

Immutable Strings Are of Higher Demand

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Software engineering and artificial Intelligence (SEAI), IEEE international conference on

作者： Eugene Darashkevich Yegor Bugayenko Department of Computer Science Higher School of Economics Moscow Russia Huawei Moscow Russia

ISBN: (数字)9798350374346

ISBN: (纸本)9798350374353

Each programming language implements its own standard library, which includes its own set of functions for manipulating with strings. We analyzed 10 popular languages and aggregated all 614 string functions found in their libraries. We identified a set of most popular functions. Also, we found out that a few most popular and demanded functionalities have lower complexity if strings are immutable. that's why we suggest designers of new languages to make strings immutable, if they aim for higher performance vs. smaller memory footprint.

关键词： Computer languages Libraries Complexity theory artificial intelligence Standards Software engineering

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Research on grasping forces optimization of a soft-finger dexterous hand

Research on grasping forces optimization of a soft-finger de...

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2016 4th international conference on Machinery,Materials and Computing Technology(ICMMCT 2016)

作者： Peng JIA Wei-li LI Bo-wen WU Guo-chen ZHANG College of mechanical and electrical engineering Harbin Engineering University

To contact constraints model of soft finger, replacing paired friction cones by linear paired polyhedral, so as to realize the linearization of contact constraints model. the linear constraints inequalities of grasping forces is derived, and the objective function of the smallest sum of output torque squares is built, so the torque optimization is translated into quadratic programming. By the simplex method, quadratic programming is solved quickly, greatly improve the real-time performance. At last, the effectiveness of proposed algorithm was verified in numerical simulation with grasping a plane object when there is a soft finger contact.

关键词： Soft-finger contact linearizing joint torque the quadratic optimization

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Discussion on Basic Course of Modeling of Digital Media Application Technology Major in Higher Vocational Colleges——Case Study of Design Sketch

Discussion on Basic Course of Modeling of Digital Media Appl...

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2017 4th international conference on Education,Management and Computing Technology(ICEMCT 2017)

作者： Yunke Wei Guangdong Polytechnic of Science and Technology

Basic course of modeling refers to a required basic course covering "design sketch" and "three components". the research field of digital media application technology major is software interface design, requiring students to have certain fine arts foundation. the students of digital media application technology major of higher vocational colleges are non-art students who have no fine arts foundation. this paper is intended to analyze how teachers can guide students to overcome anxiety and develop an interest based on practical teaching experience, and put forward some practical methods of teaching of basic course of modeling of digital media application technology major.

关键词： Basic course of modeling Modeling ability Creativity Multiplicity

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Optimal Coordination of Dual-Setting Directional Overcurrent Relays in Microgrids

Optimal Coordination of Dual-Setting Directional Overcurrent...

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Workshop on Smart Grid and Renewable Energy (SGRE)

作者： Tareq Foqha Samer Alsadi Shady S. Refaat Department of Electrical Engineering Arab American University Jenin Palestine Department of Electrical Engineering Palestine Technical University-Kadoorie Tulkarm Palestine School of Physics Engineering and Computer Science University of Hertfordshire Hatfield United Kingdom

Microgrids are gaining popularity due to their improved reliability and resilience. However, their protection is challenging due to bidirectional current flow and varying fault current levels in different operating modes. this paper proposes the use of dual-setting directional overcurrent relays for microgrid protection. To demonstrate their effectiveness, a comparative analysis of dual-setting relays and conventional relays is conducted. the relay coordination problem is formulated as a nonlinear programming problem, and the settings of relays are optimally determined using genetic algorithm and an efficient hybrid optimization algorithm that combines the modified firefly algorithm and genetic algorithm to minimize the overall relay operating time for primary relays. the proposed scheme is implemented on the distribution section of the IEEE-14 bus system, demonstrating a reduction in total system operating time with dual-setting directional overcurrent relays.

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Multi-Time Constrained Dual-Resource Flexible Job Shop Scheduling Based on Multi-Objective Evolutionary Algorithm

Multi-Time Constrained Dual-Resource Flexible Job Shop Sched...

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Machine Learning and Intelligent Systems engineering (MLISE), international conference on

作者： Luda Yang Zhuoxuan Lv Baigang Du Jun Guo School of Mechanical and Electronic Engineering Wuhan University of Technology Wuhan China School of Computer Science Fudan University Fudan University Shanghai China

ISBN: (数字)9798350375077

ISBN: (纸本)9798350375084

this paper presents a new generalization of the uniform dual-resource constrained flexible job shop scheduling problem (DRCFJSP) for automated flexible manufacturing system, considering two multi-time constraints of setup time and transportation time. Design a mixed integer nonlinear programming model with multiple optimization objectives of minimizing maximum completion time, minimizing transportation time and minimizing setup time. And a hybrid multi-objective evolutionary algorithm (HMOEA) is proposed to solve the problem. through simulation experiments on different data sets and algorithm comparison, the effectiveness and feasibility of the proposed algorithm are verified. Finally, we designed thirteen processing cases under different conditions and compared them with four different comparison algorithms, and concluded that the HMOEA algorithm is superior in solving the DRCFJSP problem, which is of great significance to the use of algorithms for optimal design in actual production.

关键词： Machine learning algorithms Job shop scheduling Transportation Production Evolutionary computation programming Manufacturing

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