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检索条件"任意字段=2014 IEEE International Conference on Progress in Informatics and Computing"

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An Improved Multi-population Genetic Algorithm for Job Shop Scheduling Problem

An Improved Multi-population Genetic Algorithm for Job Shop ...

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Ming Huang,Pengfei Liu,Xu Liang Software Technology Institute,Mechanical Engineering Institute Dalian Jiaotong University Dalian,China

This paper introduces "population migration" idea and proposes an improved multi-population genetic algorithm based on population migration,which differed from tradition multi-population genetic algorithms that only improve the crossover and mutation *** new algorithm provides a population adjusting strategy based on population migration to adjust the population size ***,the algorithm divides the initial population into some subpopulations and performs different genetic algorithms on different ***,it evaluates the favorable index of each subpopulation after some ***,it makes some chromosome moving to the subpopulation with high favorable index to continue to ***,when the population has a phenomenon of local value,the algorithm makes the chromosome in this population diffuse to different population to search a new global best *** new algorithm is experimented with the Muth and Thompson standard problem,and the result of the experiment shows the convergence capability and ability to solve the precocity of the new algorithm is improved sharply.

关键词： component population migration multi-population genetic algorithm job shop scheduling

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Visualizing Search Results Based on Multi-label Classification

Visualizing Search Results Based on Multi-label Classificati...

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The 2010 ieee international conference on progress in informatics and computing

作者： Zhihua Wei Duoqian Miao Rui Zhao Chen Xie Zhifei Zhang Department of Computer Science and Technology, Tongji University Shanghai,China

Search engine has played an important role in information ***,it is not very easy to find interest information from too much returned search *** search visualization system aims at helping users to locate interest documents rapidly from a great amount of returned search *** paper explores visualization of Web search results based on multi-label text classification *** conducts a multi-label classification process on the results from search *** this framework,users could browse interest information according to category label added by our algorithm. A paralleled Na'ive Bayes multi-label classification algorithm is proposed for this application.A two-step feature selection algorithm is constructed to reduce the effect on Na'ive Bayes classifier resulted from feature correlation and feature redundancy.A prototype system,named TJ-MLWC,is developed,which has the function of browsing search results by one or several categories.

关键词： search engine visualization multi-label classification Naive Bayes feature selection

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Redundant De Bruijn Graph Based Location and Routing for Large-Scale Peer-To-Peer System

Redundant De Bruijn Graph Based Location and Routing for Lar...

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The 2010 ieee international conference on progress in informatics and computing

作者： Jinyan Chen,Yi Zhang~* School of Computer Software Tianjin University Tianjin,China

A fundamental problem in large peer-to-peer application is finding a routing method by which the user can efficiently locate the nodes those stores a particular data *** this paper we present a new resource routing method:redundant De Bruijn routing graph(RDBR).Every node in RDBR has main routing label and assistant routing label,a group of nodes with same main routing label constitute of a redundant routing group. At the time of new nodes join these routing groups can split into several small redundant routing group;at the time of nodes left several neighbor redundant routing group can combine into one large redundant routing *** and theory analysis show that redundant De Bruijn routing graph keeps the virtual of traditional De Bruijn graph and overcome some short coming of traditional De Bruijn graph:It is more robust to nodes failure, it has more bisection width,its node join and leave procedure is simpler.

关键词： De Bruijn graph peer-to-peer routing resource location

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EEG-Based Vigilance Analysis by Using Fisher Score and PCA Algorithm

EEG-Based Vigilance Analysis by Using Fisher Score and PCA A...

引用

The 2010 ieee international conference on progress in informatics and computing

作者： Lei Cao~* and Jie Li~+ and Yaoru Sun~(?) and Huaping Zhu~(?) and Chungang Yan~(?) Tong Ji University,Shanghai 201804 China

Driving fatigue is the most dangerous killer on *** mental vigilance is able to warn the driverand avoid some *** current study mainly focuses onthe power *** electroencephalography(EEG) activitiesin the 5(0-4 Hz),θ(4-8 Hz),α(8-13 Hz) andβ(13-35Hz) bands,reflect the change of the physiological *** ratios of(θ+α)/β,α/β,(θ+α)/(α+β),andθ/β,are also usedfor assessing the *** make use of PCA algorithmand fisher score to remove background noise and select thesignificant discriminative *** that,the sleepy andwakeful selected data are trained and tested by SVM classifier toevaluate the vigilance *** with the result obtainedfrom non-PCA algorithm,the classification result from PCAalgorithm,achieves higher accuracy in theαandβbands,as wellas at the ratios of(θ+α)/βandα/β.The significant differencein the cerebral cortex appears at theδ,αandβbands,as wellas at the ratios ofα/β,(θ+α)/(α+β) andθ/β.These resultssuggest that estimating vigilance levels is *** thevigilance precisely is helpful to keep drivers away from somedangerous driving behaviors in the proposed system.

关键词： vigilance EEG PCA fisher score

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Big+Open Data: ome pplications for a Smartcity

Big+Open Data: ome pplications for a Smartcity

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2015 ieee international conference on progress in informatics and computing(PIC 2015)

作者： Victoria Lopez Guadalupe Mi?ana Oscar Sánchez Beatriz González Gabriel Valverde R.Caro Dept. Computer Architecture and Automatics Faculty of Informatics Complutense University Dept. Statistics and O.R Faculty of Mathematics Complutense University

The way of thinking on Big Data, Open Data and their use by organizations or individuals has been a trending topic over the last few years. Big Data deals with collecting, storing, analyzing and putting data in value. Big, medium and small enterprises want to include information technologies in their management and decision processes. At the same time, movements about rights on public data have increased their presence and force. Data from governments must be open. Every day, more and more cities and countries are opening their data. Open Data has emerged as a new paradigm for the public service provision model with a special role in Smart City. The main goal of Big and Open Data in a Smart City is to develop systems which can be useful for citizens. In this work we analyze how both private enterprises and governments manage to improve their data value by combining private and public datasets and we give some examples of our work in this area.

关键词： big data open data privacy smart city open government transparency data analytics mobile apps

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Evaluation of T Wave Altemans Detectors Based on a Simulation Study

Evaluation of T Wave Altemans Detectors Based on a Simulatio...

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The 2010 ieee international conference on progress in informatics and computing

作者： Xiankui Wan and Du Xu Information Engineering College Guangdong University of Technology Guangzhou,China Fulan Xie Liwan Hospital Guangzhou Media University Guangzhou,China

a simulation study of T wave alternans(TWA) is proposed in order to evaluate the performance of typically used TWA detectors,as well as to quantify the performance characteristics in terms of sensitivity,positive predictivity and beat-to-beat amplitude estimation *** signals are simulated repeating a single beat,and adding mixed noise from 4 different noise sources at different *** episodes with different amplitudes and waveforms were added to the signals. We can conclude from this study that the correlation-based detector obtained much lower detection rates than the other detectors,especially in sensitivity for low amplitude *** amplitude accuracy in the detected episodes was also found to be the worst with correlation-based *** other detectors have shown a similar ***,the complex demodulation detector needs a much higher computational *** general,alternans are detected with rates near 100%for SNR greater than 10 dB for physiological noise sources.

关键词： T-wave alternans evaluation spectral method complex demodulation correlation method modified moving average method

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Real Time Activity Recognition on Streaming Sensor Data for Smart Environments

Real Time Activity Recognition on Streaming Sensor Data for ...

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2016 ieee international conference on progress in informatics and computing

作者： Surong Yan Yixing Liao Xiaoqing Feng Yanan Liu School of Dongfang Zhejiang University of Finance and Economics School of Information and Engineering Zhejiang University of Finance and Economics

Real time(online) recognition of complex activities remains a challenging and active area of research. In this paper, we propose a sliding window based activity recognition(AR) method by integrating Latent Dirichlet allocation(LDA) model and Bayes theorem on real time sensor streaming. In the proposed method, we first learn offline the feature pattern of activity from activity window sequences using LDA model. We then embed a Bayes estimation of the activity probability distribution for a given sliding window in the feature extracting stage based on the learned activity-feature pattern. Finally, the probability distribution prediction as a subset of features in the sliding window is further fed into the classifier model to generate the final class result for the sliding window. We validate our approach using smart home datasets CASAS. The results of the evaluation indicate that the proposed method achieves a high accuracy of the classifier model while maintains low time cost.

关键词： activity recognition sliding window LDA Bayes theorem

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Functional Connectivity Based Classification of ADHD Using Different Atlases

Functional Connectivity Based Classification of ADHD Using D...

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Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Sartaj Ahmed Salman Zhichao Lian Marva Saleem Yuduo Zhang School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China

ISBN: (数字)9781728170862

ISBN: (纸本)9781728170879

These days, computational diagnosis strategies of neuropsychiatric disorders are gaining attention day by day. It's critical to determine the brain's functional connectivity based on Functional-Magnetic-Resonance-Imaging(fMRI) to diagnose the disorder. It's known as a chronic disease, and millions of children amass the symptoms of this disease, so there is much vacuum for the researcher to formulate a model to improve the accuracy to diagnose ADHD accurately. In this paper, we consider the functional connectivity of a brain extracted using various time templates/Atlases. Local-Binary Encoding-Method (LBEM) algorithm is utilized for feature extraction, while Hierarchical- Extreme-Learning-Machine (HELM) is used to classify the extracted features. To validate our approach, fMRI data of 143 normal and 100 ADHD affected children is used for experimental purpose. Our experimental results are based on comparing various Atlases given as CC400, CC200, and AAL. Our model achieves high performance with CC400 as compared to other Atlases.

关键词： Technological innovation Functional magnetic resonance imaging Feature extraction Brain modeling Classification algorithms informatics Diseases

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A Preliminary Experimental Study on Optimal Feature Selection for Product Derivation Using Knapsack Approximation

A Preliminary Experimental Study on Optimal Feature Selectio...

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The 2010 ieee international conference on progress in informatics and computing

作者： Runyu Shi,Jianmei Guo,and Yinglin Wang Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240,China

Software product lines(SPLs) technology produce software by integrating reusable software components based on customer *** researchers pay great attention to feature modeling technology that can represent SPLs' production requirements and functionalities.A key challenge is selecting valid and optimal feature combinations from the feature model to satisfy various requirements of customers and vendors, including various value and cost *** paper experimentally studies a knapsack approximation algorithm of feature selection for automated product derivation in *** approach generates an approximation solution by a modified Filtered Cartesian Flattening algorithm and obtains the optimal solution with a greed *** performed experiments on randomly generated feature models with different characteristics. Experiments show that our approach can select highly optimal feature combinations effectively.

关键词： software product lines product derivation feature models approximation algorithm

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Aerodynamic optimization designing of Airfoil based on Isight

Aerodynamic optimization designing of Airfoil based on Isigh...

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The 2010 ieee international conference on progress in informatics and computing

作者： Wei Wang,Rong Mo,Zhiyong Chang,Huibin Sun Ministry of Education Key Lab of Contemporary Design & Integrated Manu.Tech. Northwestern Polytechnical Univ. Xi'an,China

In order to improving the designing efficiency and achieving automation of airfoil optimization designing,A method which combined the airfoil parametric modeling software、the CFD software with Isight platform was presented,it was used to optimize the airfoil to ameliorate its aerodynamic performance. During the process of optimization designing,first,we adopted the design of experiment(DOE) method to search the designing space,achieved the optimal initialization ***,we adopted Non-dominated Sorting Genetic Algorithm(NSGA-Ⅱ) to optimize the airfoil,got the optimal airfoil aerodynamic solution. The optimized solution proved that the aerodynamic performance of the airfoil has been significantly improved,which shows the optimization designing method was reasonable and feasible.

关键词： Isight Design of Experiment(DOE) Non-dominated Sorting Genetic Algorithm(NSGA-II) Aerodynamic Optimization Designing of Airfoil

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