Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics最新文献_第4页

Research of fish disease diagnosis expert system based on artificial neural networks 基于人工神经网络的鱼病诊断专家系统研究

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611483

Changhui Deng, Wei Wang, Jun Gu, Xiangnan Cao, Chan Ye

引用次数: 3

Study on performance evaluation system of renewable energy fields 可再生能源领域绩效评价体系研究

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611467

Wang Yinming, Zhao Xihui, Kong Xiangfu, Sui Xiaoyu, Yang Kai, Wang Zheng, X. Xi, W. Haifeng

{"title":"Study on performance evaluation system of renewable energy fields","authors":"Wang Yinming, Zhao Xihui, Kong Xiangfu, Sui Xiaoyu, Yang Kai, Wang Zheng, X. Xi, W. Haifeng","doi":"10.1109/SOLI.2013.6611467","DOIUrl":"https://doi.org/10.1109/SOLI.2013.6611467","url":null,"abstract":"In recent years the demand for performance evaluation is increasing with the rapid development of renewable energy. In this paper, we proposed an intelligent evaluation system which is called IREFP, short for Integrated Renewable Energy Field Performance Evaluation System, with a set of comprehensive evaluation index system, which is called RES, short for reliability, economy and safety. The IREFP evaluation system integrates technologies of information association modeling, high-performance computing platform, data envelopment analysis and high-accuracy numerical weather prediction, to improve evaluation quality and thus provide comprehensive performance evaluation service for renewable energy field and its equipment like wind turbine, photovoltaic module, etc. In addition, we make an application analysis for the IREFP evaluation system and find it can save huge cost and bring amounts of business value if applied in stop time optimization, risk control and equipment selection. A case analysis illustrated in the end verified the feasibility of the IREFP process, the reliability of the refined formula of indicators, and efficiency of evaluation models.","PeriodicalId":147180,"journal":{"name":"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"513 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127023894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An integrated prediction model for traffic noise in an urban area 城市交通噪声综合预测模型研究

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611409

D. W. Mongelli

{"title":"An integrated prediction model for traffic noise in an urban area","authors":"D. W. Mongelli","doi":"10.1109/SOLI.2013.6611409","DOIUrl":"https://doi.org/10.1109/SOLI.2013.6611409","url":null,"abstract":"Traffic noise is an inevitable phenomenon associated with traffic operation in urban areas. The increasing sensitivity to environmental issues leads researchers to study and formulate appropriate models to analyze the correlations between environment-infrastructure-man. In this area of research attention has been paid to issues related to noise pollution, how is attested to by the vast amount of literature on the subject. In particular, the traffic noise of motor vehicles, as main source in urban areas, makes up part of general environment problem which inflicts serious damage to the health of human beings and lowers their labor productivity. Due the increasing number of vehicles circulating in the big cities, the noise pollution becomes a problem because of the constant traffic on the roads makes some places reach the highest level of noise. Therefore, the control of traffic noise has become a matter of major concern for communities trying to maintain a satisfactory environment in which to live and work. To ensure a high quality environment, methods for prediction the urban traffic noise are necessary tools. In order to modeling traffic noise and selecting corresponding noise control measures it is necessary to know functional relationships between noise emission and certain numbers of traffic parameters. The purpose of this article is to study the situation in Crotone (Italy) and develop a model to predict the noise based on the data collected. The result of this research will contribute to the analyze the traffic noise in urban center as well to develop a tool to help on treatments of this urban issue, allowing future decisions to reduce the noise pollution.","PeriodicalId":147180,"journal":{"name":"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129037750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Investment decision-making method of Eucalyptus plantation based on real options theory 基于实物期权理论的桉树人工林投资决策方法

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611393

Wan Zhi-quan, Liu Jin-hao, Chen Lai-rong, Ding Xiao-kang

引用次数: 0

On the probability of feature selection in support vector classification 支持向量分类中特征选择的概率问题

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611436

Qunfeng Liu, Lan Yao

{"title":"On the probability of feature selection in support vector classification","authors":"Qunfeng Liu, Lan Yao","doi":"10.1109/SOLI.2013.6611436","DOIUrl":"https://doi.org/10.1109/SOLI.2013.6611436","url":null,"abstract":"Feature selection is important for classification problem, especially when the number of features is very large or noisiness is present in data. Support vector machine (SVM) with Lp regularization is a popular approach for feature selection. Many researches have devoted to develop efficient methods to solve the optimization problem in support vector machine. However, to our knowledge, there is still no formal proof or comprehensive mathematical understanding on how Lp regularization can bring feature selection. In this paper, we first show that feature selection depends not only the parameter p but also the data itself. If the feasible region generated from the data lies faraway relatively from the coordinates, then feature selection maybe impossible for any p. Otherwise, a small p can help to enhance the ability of feature selection of Lp-SVM. Then we provide a formula for computing the probabilities which measure the feature selection ability. The only assumption is that the optimal solutions of all possible classification problems distribute uniformly on the contour of the objective function. Based on this formula, we compute the probabilities for some popular p.","PeriodicalId":147180,"journal":{"name":"Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115581722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A fast recognition algorithm for detecting common broadcasting faults 一种常见广播故障的快速识别算法

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611470

Gou Chao, Wang Kunfeng, Hu Bin, Xiong Gang, Zhu Fenghua

引用次数: 1

Research on the flexibility of bank credit chain from perspective of environmental uncertainty 环境不确定性视角下的银行信贷链柔性研究

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611400

Yuehua Wu, Feng Zhang

引用次数: 0

Automatic road detection for highway surveillance using frequency-domain information 基于频域信息的公路监控道路自动检测

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611375

Qingjie Kong, L. Zhou, Gang Xiong, F. Zhu

引用次数: 5

CO2 emissions and technical efficiency of logistics sector: An empirical research from China 物流行业二氧化碳排放与技术效率:来自中国的实证研究

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611388

Lu Fan, Aihu Wang

引用次数: 2

Budget utilization for improved business contingency planning in service delivery 预算利用，以改善服务交付中的业务应急计划

Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2013-07-28 DOI: 10.1109/SOLI.2013.6611372

Sreyash Kenkre, Krishnasuri Narayanam, Vinayaka Pandit

引用次数: 0