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检索条件"任意字段=5th International Conference on the Art, Science, and Engineering of Programming, Programming 2021"

共 1194 条记录，以下是91-100 订阅

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Research of data mining in cloud environment

Research of data mining in cloud environment

引用

2013 5th international conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2013

作者： Yu, Hongbo Lan, Yihua Zhang, Xingang Liu, Zhidu Yin, Chao Long, Changlin School of Computer Engineering Huaihai Institute of Technology Lianyungang China School of Computer and Information Technology Nanyang Normal University Nanyang China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9780769550114

this article first introduce the Core Architecture and operational mechanism of cloud computing and HADOOP platform, then put forward the technical architecture of data mining platform Based on HADOOP. After a thorough understanding to the Map Reduce programming pattern, HSPRINT algorithm is realized in the decision tree. At last the effectiveness of the algorithm is verified through experiments. © 2013 IEEE.

关键词： Data mining

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Genetic programming for evolving programs with loop structures for classification tasks

Genetic programming for evolving programs with loop structur...

引用

5th international conference on Automation, Robotics and Applications, ICARA 2011

作者： Abdulhamid, Fahmi Neshatian, Kourosh Zhang, Mengjie School of Engineering and Computer Science Victoria University of Wellington PO Box 600 Wellington New Zealand

ISBN: (纸本)9781457703287

Object recognition and classification are important tasks in robotics. Genetic programming (GP) is a powerful technique that has been successfully used to automatically generate (evolve) classifiers. the effectiveness of GP is limited by the expressiveness of the functions used to evolve programs. It is believed that loop structures can considerably improve the quality of GP programs in terms of both performance and interpretability. this paper proposes five new loop structures using which GP can evolve compact programs that can perform sophisticated processing. the use of loop structures in GP is evaluated against GP with no loops for both image and non-image classification tasks. Evolved programs using the proposed loop structures are analysed in several problems. the results show that loop structures can increase classification accuracy compared to GP with no loops. © 2011 IEEE.

关键词： Genetic programming

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A Review of Research Methods in End User Development 5

A Review of Research Methods in End User Development

引用

5th international Symposium of End-User Development (IS-EUD)

作者： Tetteroo, Daniel Markopoulos, Panos Eindhoven Univ Technol NL-5600 MB Eindhoven Netherlands

ISBN: (纸本)9783319184258;9783319184241

this article gives a structured overview of the field of End User Development, and its related fields of End User programming, End User Software engineering and meta-design. We have analyzed 93 papers from these fields that have been published between 2004 and 2013 in major and relevant journals and conference proceedings. the article discusses the methods, purpose and impact of the research that was analyzed, and points towards trends within the research community, as well as research gaps that need to be addressed.

关键词： End-user development End-user programming End-user software engineering Meta-design Survey

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An Modified Relax-and-fix Algorithm for the Multi-level Lot-sizing Problem with Replaceablility 5

An Modified Relax-and-fix Algorithm for the Multi-level Lot-...

引用

5th international conference on Industrial engineering and Applications (ICIEA)

作者： Wei, Mingyuan Yuan, Yifei Zhang, Canrong Tsinghua Univ Dept Ind Engn Beijing 100084 Peoples R China Tsinghua Univ Res Ctr Modern Logist Grad Sch Shenzhen Shenzhen 518055 Peoples R China

ISBN: (纸本)9781538657485

this paper considers the multi-level capacitated lot sizing problems, especially pays attention paid to the replace ability among items. We establish two nonlinear programming models for the problem: the inventory and lot-sizing model (ILSR) and the simplified facility location model (SFLR) based on different variable definitions with the objective to minimize the system-wide costs, including inventory-holding cost, backlog cost and machine setup cost. For small-scale problems, the commercial solver can solve the problems to optimality. For large-scale problems, we propose a modified relax-and-fix algorithm for exact algorithms encounters computational difficulty due to the NP-hardness of the problem. Numerical experiments are conducted to test the models and the designed algorithm, and the results show that the SFLR model performs better than the ILSR model and the designed algorithm works well.

关键词： Lot sizing Replaceable items Production planning Relax-and-fix

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Small-time scale network traffic prediction using complex network models

Small-time scale network traffic prediction using complex ne...

引用

5th international conference on Natural Computation, ICNC 2009

作者： Wu, Peng Chen, Yuehui Meng, Qingfang Liu, Zhen School of Information Science and Engineering University of Jinan Jinan 250022 China

ISBN: (纸本)9780769537368

the self-similar and nonlinear nature of network traffic makes high accurate prediction difficult. Various technology, including Autoregressive Integrated Moving Average (ARIMA), Local Approximation (LA), Neural Network (NN) etc., have been applied to internet traffic prediction. In this paper, Complex Network based on genetic programming and particle swarm optimization is proposed to predict the time series of internet traffic. We propose an automatic method for constructing and evolving our complex network model. the structure of complex network is evolved using genetic programming, and the fine tuning of the parameters encoded in the structure is accomplished using particle swarm optimization algorithm. the relative performances of our model are reported. the results show that our model has high prediction accuracy and can characterize real network traffic well. © 2009 IEEE.

关键词： Genetic programming

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Facial Expression Recognition Based on Genetic programming Learning CCA Fusion 5

Facial Expression Recognition Based on Genetic Programming L...

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5th international conference on Pattern Recognition and artificial Intelligence, PRAI 2022

作者： Wu, Min Li, Ming He, Chao Chen, Hao Wang, Yan Li, Zhengxiu Nanchang Hangkong University School of Information Engineering Nanchang China Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing China

ISBN: (数字)9781665499163

ISBN: (纸本)9781665499163

the quality of the features directly affect the overestimation of image classification. However, it is difficult to distinguish between two categories only by a single feature when there is no obvious difference between them. One of the ideas to solve this problem is multi-feature fusion. However, the existing fusion methods have the problems of complex models, fixed models and the need for relevant knowledge in the field. Genetic programming (GP) is a feature fusion method with flexible representation. It can automatically learn other excellent fusion methods without operating how the computer fuses. According to this property, this paper presents a new LCGP method, which can automatically learn existing fusion methods. In the proposed method, the excellent fusion model will be refined into a mathematical form of the function operator. In fact, this is a three-tiered GP tree that integrates different features and fusion methods into the same tree through operators. the proposed method can automatically learn and evolve different mathematical fusion models, validate them on two small sample datasets, CK+ and JAFFE, and compare them with several state-of-the-art methods. the results show that although the training examples are limited, the performance of this method is better than or similar to that of the related methods. © 2022 IEEE.

关键词： Genetic programming

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Automatic feature extraction and image classification using genetic programming

Automatic feature extraction and image classification using ...

引用

5th international conference on Automation, Robotics and Applications, ICARA 2011

作者： Al-Sahaf, Harith Neshatian, Kourosh Zhang, Mengjie School of Engineering and Computer Science Victoria University of Wellington Wellington New Zealand

ISBN: (纸本)9781457703287

In this paper, we propose a multilayer domain-independent GP-based approach to feature extraction and image classification. We propose two different structures for the system and compare the results with a baseline approach in which domain-specific pre-extracted features are used for classification. In the baseline approach, human/domain expert intervention is required to perform the task of feature extraction. the proposed approach, however, extracts (evolves) features and generates classifiers all automatically in one loop. the experiments are conducted on four image data sets. the results show that the proposed approach can achieve better performance compared to the baseline while removing the human from the loop. © 2011 IEEE.

关键词： Genetic programming

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Reflections on the Design of Parallel programming Frameworks 15th

Reflections on the Design of Parallel Programming Frameworks

引用

15th international conference on Evaluation of Novel Approaches to Software engineering (ENASE)

作者： Niculescu, Virginia Sterca, Adrian Loulergue, Frederic Babes Bolyai Univ Fac Math & Comp Sci Cluj Napoca Romania Univ Orleans LIFO Orleans France

ISBN: (纸本)9783030700058;9783030700065

Since parallel programming is much more complex and difficult than sequential programming, it is more challenging to achieve the same software quality in a parallel context. High-level parallel programming models, if implemented as software frameworks, could increase productivity and reliability. Important requirements such as extensibility and adaptability for different platforms are required for such a framework, and this paper reflects on these requirements and their relation to the software engineering methodologies that could put them in practice. All these are exemplified on a Java framework - JPLF;this is a high-level parallel programming approach being based on the model brought by the PowerLists associated theories, and it respects the analysed requirements. the design of JPLF is analysed by explaining the design choices and highlighting the design patterns and design principles applied.

关键词： Parallel programming Frameworks Software engineering Separation of concerns Design patterns Recursive data structures

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A dynamic cache placement policy for NDN based on programmable data plane 5

A dynamic cache placement policy for NDN based on programmab...

引用

5th international conference on Computer Information science and Application Technology, CISAT 2022

作者： Zha, Yuli Cui, Pengshuai Hu, Yuxiang Lan, Julong Information Engineering University No.62 Science Avenue Zhongyuan District Henan Zhengzhou450000 China

ISBN: (纸本)9781510660076

To address the problems of low cache hit ratio and high routing hops to obtain content in Named Data Networking (NDN), this paper proposes a Cache placement Policy based on Dynamic Popularity (DPCP). When the requested content arrives at the routing node, the latest popularity is calculated by combining the number of requests in current cycle and the popularity of the previous cycle, and the caching threshold is dynamically adjusted according to the occupancy of caching space, only content with popularity exceeding the current threshold is cached, thereby retaining the content with the highest probability of being requested in future time periods. this cache placement policy is also implemented using programming Protocol-independent Packet Processors (P4) deployed on programmable data plane. Experimental results show that the proposed algorithm can effectively improve the cache hit ratio and reduce the average routing hops compared with the traditional caching policy. © 2022 SPIE.

关键词： Network architectures Space operations Device simulation Information architecture Local area networks Network security Switches Tolerancing Algorithm development Computer programming languages

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Multi-objective Smart Distribution Network Operation Considering Demand Response programming 5

Multi-objective Smart Distribution Network Operation Conside...

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5th international conference on Internet of things and Applications, IoT 2021

作者： Lasemi, Mohammad Ali Najafi, Foad Arabkoohsar, Ahmad Aalborg University Department of Energy Technology Esbjerg Denmark University of Hawaii Department of Electrical Engineering Manoa United States Aalborg University Department of Energy Technology Esbjerg Denmark

ISBN: (纸本)9781665444484

the experience of deploying Smart Grids in many countries has shown that it has many economic and environmental advantages such as reducing greenhouse emissions, increasing network stability, merging distributed generations into power systems, and many more. In this paper, a novel optimization model for the operation of smart grids is proposed. It is introduced as a multi-objective optimization problem considering two main goals, including the minimization of operation costs and the maximization of the power quality under a day-Ahead market perspective. To reach these goals, reducing power losses in transmission lines, and minimizing the cost of the energy transmitted from the upstream network as well as voltage deviation are considered as objectives function of the proposed model. these two conflicting objective functions are then summed up through the Weighted Sum Method (WSM) to create a single objective function to reduce the operational cost and increase the power quality in the Smart Grid simultaneously. Moreover, renewable energy resources such as wind turbines and photovoltaic arrays, and demand response programming are raised in the model. To evaluate the effectiveness of the proposed model, it has been tested on IEEE 33 bus system by using GAMS software. the simulation results show the benefits and efficiency of the proposed model. © 2021 IEEE.

关键词： Renewable energy resources

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