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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1231-1240 订阅

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Immutable Strings Are of Higher Demand

Immutable Strings Are of Higher Demand

引用

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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Multi-Class Support Vector Machines for Large Data Sets via Minimum Enclosing Ball Clustering

Multi-Class Support Vector Machines for Large Data Sets via ...

引用

international conference on Electrical engineering, Computing science and Automatic Control (CCE)

作者： Jair Cervantes Xiaoou Li Wen Yu Javier Bejarano Department of Computing CINVESTAV Mexicali Mexico Department of Automatic Control CINVESTAV Mexicali Mexico

Support vector machines (SVM) for binary classification have been developed in a broad field of applications. But normal SVM algorithms are not suitable for classification of large data sets because of high training complexity. this paper introduces a novel two-stage SVM classification approach for large data sets: minimum enclosing ball (MEB) clustering is introduced to select the training data from the original data set for the first stage SVM, and a de-clustering technique is then proposed to recover the training data for the second stage SVM. then we extend binary SVM classification to case of multiclass. the novel two-stage multi-class SVM has distinctive advantages on dealing with huge data sets. Finally, we apply the proposed method on several benchmark problems, experimental results demonstrate that our approach have good classification accuracy while the training is significantly faster than other SVM classifiers.

关键词： Support vector machines Support vector machine classification Training data Classification tree analysis Clustering algorithms Quadratic programming Data engineering Nearest neighbor searches Bayesian methods artificial neural networks

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Study on Finite Horizon Life Cycle Model of Consumption by Scenario Aggregation

Study on Finite Horizon Life Cycle Model of Consumption by S...

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the 4th international conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)

作者： Dawei Liu Yongquan Zhao Institute of Management Science and Information Engineering Hangzhou Dianzi University Hangzhou Chi School of Eoconomics & Management Shanghai Maritime University Shanghai China

Multistage optimization problems are common occurrence in the economic Literature. Scenario aggregation Method is a widely used in solving dynamic programming problems. It is adopted as an alternative to describe the decision making process of an optimizing agent in economic models. Decisions made by scenario aggregation provide more accuracy and less risk in multistage stochastic optimization than traditional methods. Specifically, the scenario aggregation method is used to obtain a solution to a finite horizon life cycle model of consumption. the characteristics of the methodology and the comparison of its solution to the analytical solution of the model should be discussed in future research.

关键词： cycle model finite horizon scenario aggregation

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Concurrency in Go and Java:Performance Analysis

Concurrency in Go and Java:Performance Analysis

引用

2014 4th IEEE international conference on Information science and Technology

作者： Naohiro Togashi Vitaly Klyuev Software Engineering Lab University of Aizu Aizuwakamatsu Fukushima Japan University of Aizu Aizuwakamatsu Fukushima Japan Senior Associate Professor

Go is a new programming language developed by Google. Although it is still young compared to other programming languages, it already has modern and powerful features inherited from existing programming languages, and some of these are similar to Java. Go is designed for quick time development. Concurrency is the one of the main its features. In this paper, we analyze the performance of Go,and compare it with Java from two aspects: compile time and concurrency. there are many studies about the performance analysis and comparison of programming languages, but only a few publications investigate Go. Some of Go performance evaluation are based on the experimental release of *** analyze concurrency features, we implement simple matrix multiplication programs in both Go and Java. Java implementation uses Java thread, and Go implementation uses Goroutine and Channel. From the experiment, Go derived better performance than Java in both compile time and ***, Go code shows the ease of concurrent *** is still young, but we are convinced that Go will become the mainstream.

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A Two-Stage BESSs Planning Method in Distribution Networks Considering Dynamic Network Reconfiguration

A Two-Stage BESSs Planning Method in Distribution Networks C...

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Mechatronics Technology and Intelligent Manufacturing (ICMTIM), international conference on

作者： Xiaoqi Zhang Guowei Zhang Wei Wang Lin Fu Mengke Liao Xingming Xu College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China College of Intelligent Equipment Shandong University of Science and Technology Tai’an China State Grid Xinjiang Electric Power Corporation Economic Research Institute Urumqi China

When the dynamic network reconfiguration (DNR) is considered, the planning of the battery energy storage system (BESS) is converted from a mixed integer nonlinear programming (MINLP) problem to a larger one. To make the problem tractable, this paper proposes a novel two-stage solution method. In the first stage, to adapt to the dual attributes of BESS and the objective, a comprehensive cost sensitivity factor (CCSF) is presented. In the second stage, to reduce the size of sizing optimization and find a better solution, the particle swarm optimization (PSO) algorithm is adopted for sizing optimization, and the Minty algorithm combined with a heuristic strategy is applied for DNR. Numerical simulations on an IEEE standard 69-bus system shows the superiority of the proposed algorithm over existing methods.

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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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Compressors Evolution based High Speed and Energy Efficient Approximate Signed Multiplier 16

Compressors Evolution based High Speed and Energy Efficient ...

引用

16th IEEE international conference on Solid-State and Integrated Circuit Technology, ICSICT 2022

作者： Xie, Na Zhang, Renyuan Yan, Han Xie, Chonghang Zhang, Hao Cai, Hao Liu, Bo Southeast University School of Integrated Circuits Wuxi211189 China Nanjing Research Institute of Electronics Technology Nanjing210096 China Southeast University School of Electronic Science and Engineering Nanjing210096 China

ISBN: (数字)9781665469067

ISBN: (纸本)9781665469067

Among various energy improvement techniques, approximate computing can reduce power, area and delay at the cost of calculation accuracy losses. In this paper, we propose an approximate signed multiplier design with a low power consumption and a short critical path using Cartesian Genetic programming (CGP) algorithm and a compressors evolution method to obtain more suitable approximate 3-2 compressors for partial products (PPs) accumulation to compensate the error generated by CGP. Experimental results show that the proposed signed multiplier reduces delay by 42%, area by 25%, power consumption by 24% and the power delay product (PDP) by 56.6%. the NMED of proposed multiplier and recognition accuracy increased from 0.885% to 0.736% and 87.29% to 92.61% respectively through compressors evolution method. the proposed multiplier is also evaluated in a CRNN-based keyword spotting (KWS) system which brought high efficiency and little accuracy loss. © 2022 IEEE.

关键词： Compressors

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Design of an Intelligent Glass-Wiping Robot 10th

Design of an Intelligent Glass-Wiping Robot

引用

10th international conference on Computer engineering and Networks, CENet 2020

作者： Peng, Jiansheng Ye, Hemin Lan, Xin Wei, Qingjin He, Qiwen School of Physics and Mechanical and Electronic Engineering Hechi University Yizhou Hechi546300 China School of Electronic Engineering Guangxi Normal University Guilin541004 China

ISBN: (纸本)9789811584619

In order to solve the heavy and dangerous problems of peoples daily glass cleaning, an intelligent glass cleaning robot is designed using the Arduino MEGA 2560 control board combined with a vacuum compressor, a steering gear, a two-position two-way solenoid valve, a vacuum generator and a vacuum suction cup. the intelligent glass-wiping robot uses the Arduino programming software as the control center, and controls the running angle of 8 servos through the Arduino MEGA 2560 expansion board, realizing the gait of 4 servos bionic legs on the glass. Experiments have shown that during the cleaning process of the intelligent glass-wiping robot, the safety rope at the front end can effectively prevent the robot from falling. the intelligent glass-wiping robot uses four bionic legs of the steering gear to move, which can realize the basic functions of movement, adsorption, obstacle avoidance and cleaning. © 2021, the Editor(s) (if applicable) and the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Glass

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Present & Future Paradigms of Cyber Crime & Security Majors - Growth & Rising Trends

Present & Future Paradigms of Cyber Crime & Security Majors ...

引用

artificial Intelligence with Applications in engineering and Technology (ICAIET)

作者： Vinit Kumar Gunjan Amit Kumar Allam Appa Rao Department of Computer Science & Engineering Annamacharya Institute of Technology & Sciences Rajampet Andhra Pradesh India Research & Development SJB Institute of Technology VTU Bengaluru India C R Rao Advanced Institute of Statistics Mathematics & Computer Science University of Hyderabad Hyderabad India

Cybercrime is all about the crimes involved with the environment where ever a network is involved and the steps implemented to control or overcome this cyber-security. the work culture of all the sectors are moving towards digitalization and cloud based systems in order to increase the work efficiency with more accuracy, In addition to this a majority of individuals are fond of using social networking sites and email servers in many ways directly or indirectly. Cybercrime is a type of crime where technical expertise is required not only to crack it but in order to make a user secure or to apply any preventive majors. In this paper we have described about the basics of this dreadful crime, recent research & development in the field of cyber security, the types of crimes and a small survey with an IT company. Our aim with this research is to check the awareness level of cybercrime and security majors and to suggest necessary steps which can really be helpful in making the cyber environment secure, robust and trustworthy.

关键词： Internet Computer crime Technological innovation Firewalls (computing) programming

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Planning for performance: Persistent collective operations for MPI 17

Planning for performance: Persistent collective operations f...

引用

24th European MPI Users" Group Meeting, EuroMPI 2017

作者： Morgan, Bradley Holmes, Daniel J. Skjellum, Anthony Bangalore, Purushotham Sridharan, Srinivas Auburn University United States EPCC University of Edinburgh Scotland United Kingdom Dept. of Computer Science and Software Engineering Auburn University United States Dept. of Computer Science University of Alabama at Birmingham BirminghamAL35294-1170 United States SimCenter University of Tennessee ChattanoogaTN United States Intel Corporation 23-56P Outer Ring Road Bangalore560017 India

ISBN: (纸本)9781450348492

Advantages of nonblocking collective communication in MPI have been established over the past quarter century, even predating MPI-1. For regular computations with fixed communication patterns, more optimizations can be revealed through the use of persistence (planned transfers) not currently available in the MPI-3 API except for a limited form of point-to-point persistence (aka half-channels) standardized since MPI-1. this paper covers the design, prototype implementation of LibPNBC (based on LibNBC), and MPI-4 standardization status of persistent nonblocking collective operations. We provide early performance results, using a modified version of NBCBench and an example illustrating the potential performance enhancements for such operations. Persistent operations allow MPI implementations to make intelligent choices about algorithm and resource utilization once and amortize this decision cost across many uses in a long-running program. Evidence that this approach is of value is provided. As with non-persistent, nonblocking collective operations, the requirement for strong progress and blocking completion notification are jointly needed to maximize the benefit of such operations (e.g., overlap of communication with computation or other communication). Further enhancement of the current implementation prototype as well as additional opportunities to enhance performance through the application of these new APIs comprise future work. © 2017 Association for Computing Machinery.

关键词： Application programming interfaces (API)

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