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检索条件"任意字段=The 2010 IEEE International Conference on Progress in Informatics and Computing"

共 1879 条记录，以下是111-120 订阅

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Enhancing Distributed Sensor Networks for Air-Quality Monitoring: A Social informatics Approach 15

Enhancing Distributed Sensor Networks for Air-Quality Monito...

引用

15th Annual international conference on Distributed computing in Sensor Systems (DCOSS)

作者： Pee, L. G. Nanyang Technol Univ Wee Kim Wee Sch Commun & Informat Singapore Singapore

ISBN: (纸本)9781728105703

This research-in-progress proposes an approach that accounts for social and institutional issues in the design and implementation of sensor networks for air-quality monitoring. The proposed approach is evaluated through action research, in an initiative that seeks to enhance the air-quality sensor network of a Megalopolis based on data analytics. Preliminary findings indicate that the proposed approach improves access to resources, enhances the validity of design, and increases buy-in for implementation.

关键词： social informatics air quality air pollution data analytics

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Structure Connectivity and Substructure Connectivity of Alternating Group Graphs 6

Structure Connectivity and Substructure Connectivity of Alte...

引用

ieee international conference on progress in informatics and computing (PIC)

作者： You, Lantao Han, Yuejuan Wang, Xi Zhou, Chen Gu, Rui Lu, Chen Suzhou Ind Pk Inst Serv Outsourcing Sch Informat Engn Suzhou Peoples R China Soochow Univ Sch Comp Sci & Technol Suzhou Peoples R China Suzhou Inst Ind Technol Sch Software & Serv Outsourcing Suzhou Peoples R China

ISBN: (纸本)9781538676721

The alternating group graph, denoted by AG(n) , is one of the popular interconnection networks. In this paper, we consider two network connectivities, H-structure-connectivity and H-substructure-connectivity, which are new measures for a network's reliability and fault-tolerability. We say that a set F of connected subgraphs of G is a subgraph-cut of G if G-V (F) is a disconnected or trivial graph. Let H be a connected subgraph of G. Then F is an H-structure-cut, if F is a subgraph-cut, and every element in F is isomorphic to H. And F is an H-substructure-cut if F is a subgraph-cut, such that every element in F is isomorphic to a connected subgraph of H. The H-structure-connectivity(resp. H-substructure-connectivity) of G, denoted by is an element of(G;H)(resp. is an element of s (G;H)), is the minimum cardinality of all H-structure-cuts(resp. H-substructure-cuts) of G. In this paper, we will establish both is an element of(AG(n);H) and is an element of(AG(n);H) for the alternating group graph AG(n) and H is an element of{K-1 ,K-1,K-1 ,K-1,K-2 }.

关键词： Alternating group graph Structure connectivity Substructure connectivity Parallel computing

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An Approach based on Decision Tree for Analysis of Behavior with Combined Cycle Power Plant 5

An Approach based on Decision Tree for Analysis of Behavior ...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Abshukirov Zhandos Jian Guo School of Automation Nanjing university of Science and Technology

ISBN: (纸本)9781538619797;9781538619780

This paper presents about Combined Cycle Power Plant（CCPP） and decision tree. CCPP considered as the best effective power suppliers to the large temperature incline between its gas turbine passage and the environment or the cooling process, and to help of their engineers, who are able to optimally venture the present temperature level. Moreover, in this paper we did comparison of four types of decision tree algorithms like Decision Stump, Hoeffding Tree,logistic model trees（LMT） and J48. Based on these algorithms we analyzed the behavior of Combined Cycle Power Plant（CCPP）, particularly its temperature. The temperature is target variable among other variables. This is why temperature was divided three classes. Theoretical analysis and experimental results have shown that the J48 algorithm is the best algorithm which predict attributes of given instances precisely among other three algorithms. Based on our findings, J48 algorithm can predict precisely the temperature of Combined Cycle Power Plant and predict 97.1676% cases correctly.

关键词： combined cycle power plant(CCPP) decisiontree classification J48(C4.5)

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Particle Swarm Optimization Based Task Scheduling for Multi-core Systems Under Aging Effect 5

Particle Swarm Optimization Based Task Scheduling for Multi-...

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2017 international conference on progress in informatics and computing(PIC)

作者： Jinbin Tu Tianhao Yang Yi Zhang Jin Sun School of Computer Science and Engineering Nanjing University of Science and Technology

ISBN: (纸本)9781538619797;9781538619780

As the size of the transistor continues to shrink, a number of reliability issues have emerged in network-on-chip(NoC) design. Taking into account the performance degradation induced by Negative Bias Temperature Instability(NBTI) aging effect, this paper proposes an aging-aware task scheduling framework for No Cbased multi-core systems. This framework relies on a NBTI aging model to evaluate the degradation of core's operating frequency to establish the task scheduling model under aging effect. Then, we develop a particle swarm optimization(PSO)-based heuristic to solve the scheduling problem with an optimization objective of total task completion time, and finally obtain a scheduling result with higher efficiency compared with traditional scheduling algorithms without considering of NBTI aging effect. Experiments show that the proposed aging-aware task-scheduling algorithm achieves not only shorter makespan and higher throughput, but also better reliability over non-aging-aware ones.

关键词： network-on-chip negative bias temperature instability task scheduling particle swarm optimization

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A Short-Term Marginal Price Forecasting Model Based on Ensemble Learning 5

A Short-Term Marginal Price Forecasting Model Based on Ensem...

引用

2017 international conference on progress in informatics and computing(PIC)

作者： Kejia Pan Wenbin Shi Xin Wang Jiazhou Li Si Chuan Electric Power Co Rporation Information &Communication Co School of Computer Science and Technology Shanghai University of Electric power

ISBN: (纸本)9781538619797;9781538619780

This The system marginal price reflects the shortterm supply and demand of electricity goods in the electricity market, which is an important economic link to the participating members of the market. The traditional prediction model has a large error and low generalization ability to forecast the shortterm marginal price. Therefore, this paper proposes an ensemble learning algorithm for short-term marginal price forecasting based on Ada Boost. In this paper, the main factors influencing the short-term marginal electricity price are analyzed. Based on the Ada Boost algorithm, the short-term marginal electricity price forecasting problem is modeled. Four prediction models（C4.5, CART, Linear neural network, BP） are compared, and a short-term marginal price forecasting algorithm is proposed. By comparing the actual values with the predicted values, our proposed algorithm is superior to SVM and BP algorithm, which has high application values in power plant engineering.

关键词： AdaBoost integrated learning system marginal price short term

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Optimization of grouping batch and sorting order for smelting charges in refined copper strip producing by AIA

Optimization of grouping batch and sorting order for smeltin...

引用

ieee international conference on progress in informatics and computing (PIC)

作者： Chang, Chunguang Zhu, Yunlong Hu, Kunyuan Zhang, Yi Key Laboratory of Industrial Informatics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China School of Management Shenyang Jianzhu University Shenyang China

ISBN: (纸本)9781424467860

Grouping batch and sorting order (GBSO) for smelting charges is a key cycle in refined copper strip producing. To improve its scientific degree, optimization problem of GBSO for smelting charges in refined copper strip producing by artificial immune algorithm (AIA) is studied. The multi-objective optimization model for GBSO of smelting charges is established with the objectives which includes minimizing fluctuation in ingredient ratios between the nearest neighbor charges, meeting order priority requirement as much as possible, insuring order due date as much as possible, maximizing number of same brand charges and sorting order in continuous way for same order as much as possible. Some constraints are adequately considered, which includes order due data of each charge, sorting order limit for the charge with high quality requirement, sorting order limit for the charge with the high ratio of virtual orders, sorting order limit for the charge including multi-order, sorting order continuously for same brand charges, ingredient ratio limit for the charge which is sorted order as the first charge, ingredient ratio difference limit between each two nearest neighbor charges. To solve the model in easy way, some constraints are transformed into the objective function, and AIA is designed. The detail steps of AIA is designed in detail including antibody representation and encoding, affinity calculation, clone selection, antibody population updating. To validate the validity of above model and AIA, select practical typical GBSO problem of smelting charges as application instance. Application result shows that, the obtained optimal solution is better than that by heuristic method both on diversity and optimization degree. AIA is suitable for solving complex problem with requirement on solution diversity. ©2010 ieee.

关键词： Multiobjective optimization

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An English Subordinate Clause Connective Correction Model Based on Genetic Algorithm and K-Nearest Neighbor Algorithm 5

An English Subordinate Clause Connective Correction Model Ba...

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2017 international conference on progress in informatics and computing(PIC)

作者： Guimin Huang Chuang Wu Sirui Huang Hongtao Zhu Ruyu Mo Ya Zhou Guilin University of Electronic Technology Xi'an Jiaotong-Liverpool University

ISBN: (纸本)9781538619797;9781538619780

In English writing, English learners will inevitably make a variety of grammatical mistakes, especially in English subordinate clause connective. To alleviate high error rate of connective in subordinate clauses of Chinese students' English writing, an automatic error correction model for English subordinate clause connective is studied and implemented from the perspective of machine learning genetic algorithm(GA) and k-nearest neighbor(KNN) algorithm combination model. Firstly, an automatic feature selection algorithm based on GA is adopted to reduce time consuming and space cost, and to improve the accuracy of connective error correction. Secondly, through comparing the Naive Bayes, decision tree, maximum entropy and KNN algorithm, KNN algorithm is found better while classifying the connectives. Finally, we compared the performance of several hybrid models, which combine different machine learning algorithms with GA. This proves that the combination of GA and KNN algorithm is optimal.

关键词： machine learning genetic algorithm connective correction feature selection

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3D Model Reconstruction based on Plantar Image's Feature Segmentation 5

3D Model Reconstruction based on Plantar Image's Feature Seg...

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2017 international conference on progress in informatics and computing(PIC)

作者： Maqiu Zhang Zhenning Zhang Weiqing Li School of Computer Science and Engineering Nanjing University of Science and Technology

ISBN: (纸本)9781538619797;9781538619780

The 3D reconstruction of sole based on laser scanning is costly and time-consuming, the 3D reconstruction based on structured light is susceptible to ambient light. A 3D reconstruction method of sole based on the plantar image's feature segmentation is proposed. The sole is segmented into two regions by the morphological features in the image. One is the arch part touching the glass, another is the un-touching camber part. And an experiment is designed to summarize the law between the plantar height and gray value in each region. Then we reconstruct the two regions' shapes separately on the basis of the regulation. Finally, we implement the plantar reconstruction by merging the two point cloud models. Experimental evaluation demonstrates that the system can do the classification and reconstruction effectively.

关键词： Image segmentation Arch type Feature Segmentation 3D reconstruction

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A Novel Mutual Information based Ant Colony Classifier 5

A Novel Mutual Information based Ant Colony Classifier

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2017 international conference on progress in informatics and computing(PIC)

作者： Hang Yu Xiaoxiao Qian Yang Yu Jiujun Cheng Ying Yu Shangce Gao College of Computer Science and Technology Taizhou University Faculty of Engineering University of Toyama Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University

ISBN: (纸本)9781538619797;9781538619780

By constructing a list of IF-THEN rules, the traditional ant colony optimization(ACO) has been successfully applied on data classification with not only a promising accuracy but also a user comprehensibility. However, as the collected data to be classified usually contain large volumes and redundant features, it is challenging to further improve the classification accuracy and meanwhile reduce the computational time for *** paper proposes a novel hybrid mutual information based ant colony algorithm(mrAM+) for classification. First, a maximum relevance minimum redundancy feature selection method is used to select the most informative and discriminative attributes in a dataset. Then, we use the enhanced ACO classifier(i.e., AM+)to perform the classification. Experimental results show that the proposed mrAM+ outperforms other seven state-of-art related classification algorithms in terms of accuracy and the size of model.

关键词： ant colony optimization mutual information classification data mining feature selection

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An event-model for constraint-based person-centric flows

An event-model for constraint-based person-centric flows

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2010 1st ieee international conference on progress in informatics and computing, PIC 2010

作者： Unger, Tobias Eberle, Hanna Leymann, Frank Wagner, Sebastian University of Stuttgart Universitaetsstr. 38 70569 Stuttgart Germany

ISBN: (纸本)9781424467860

Over the past years research in pervasive computing has demonstrated the potential of context-aware and proactive technologies for improving human work performance and to ensure that people act compliant according to predefined regulations. Human work can be structured into tasks, whereas a task is representing an atomic human work entity. A person-centric flow is an IT-representation of the flow of activities an individual person is performing. For example the daily care schedule of a nurse can be understood as the person-centric flow of the nurse. To be able to effectively guide a person in a complex and highly dynamic work environment and to react on possible deviations from the flow the supporting system is required to be aware of the state of the person-centric-flow. Beside guidance the flow information can be utilized to check compliance of a persons flow with prescribed sequences of operation. In this paper we propose a constraint-based workflow model for person-centric flows and an event-model which can be used to inform applications about the state of these flows. ©2010 ieee.

关键词： Ubiquitous computing

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