Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics最新文献_第2页

Study on power output of different wavelength electromagnetic waves in therapy 不同波长电磁波在治疗中的功率输出研究

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-11-20 DOI: 10.1109/SOLI.2014.6960685

Zichen Lu, Xiwei Liu, Yonghong Ma, Jie Wang, Dong Zhang, Zongning Zhang, H. Mo

引用次数: 0

Semi-actuated arterial coordination for traffic control: A practical method 交通控制的半驱动动脉协调:一种实用方法

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-11-20 DOI: 10.1109/SOLI.2014.6960725

Yu-Liang Liu, Y. Duan, Wenwen Kang

引用次数: 1

Big Data architecture for IT incident management IT事件管理的大数据架构

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-11-20 DOI: 10.1109/SOLI.2014.6960762

R. Liu, Qicheng Li, Feng Li, Lijun Mei, Juhnyoung Lee

引用次数: 8

A financial risk evaluation service for integrating private portfolios securely 用于安全集成私人投资组合的金融风险评估服务

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-11-20 DOI: 10.1109/SOLI.2014.6960694

Yuji Watanabe, Akira Koseki

引用次数: 0

New methodology for the identification of road surface anomalies 路面异常识别的新方法

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-11-20 DOI: 10.1109/SOLI.2014.6960710

V. Astarita, D. C. Festa, D. W. Mongelli, Antonio Tassitani

{"title":"New methodology for the identification of road surface anomalies","authors":"V. Astarita, D. C. Festa, D. W. Mongelli, Antonio Tassitani","doi":"10.1109/SOLI.2014.6960710","DOIUrl":"https://doi.org/10.1109/SOLI.2014.6960710","url":null,"abstract":"This article show a methodology for the identification of road anomalies through the coupled measurements of vertical acceleration and sound pressure levels. The innovative solution of this methodology lays in the possibility to evaluate road anomalies by using the time derivative of acceleration and sound pressure. Furthermore, this methodology has been developed and validated using a commercially available instrumentation possessed by most drivers, such as, smartphones and tablets. The current smartphone devices, in fact, are equipped with GPS, gyroscope and microphone that allow to simultaneously record data relating to geolocation, acceleration and sound pressure. The widespread distribution of this equipment could allow local administration to acquire a large number of surveys carried out by normal drivers and build a large Data Base on road anomalies representative of a whole network of infrastructures with a very small cost. Finally, the application of the methodology overturns current monitoring policies of road infrastructure that can be carried out only by the management staff by crowdsourcing the DB system with continuous real time updates brought by normal road users.","PeriodicalId":191638,"journal":{"name":"Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134576258","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: 10

A new six-parameter model for solar cell parameters based on padé approximants 太阳能电池参数的一种新的六参数模型

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-11-20 DOI: 10.1109/SOLI.2014.6960750

Jing-shu Sang, Shuxian Lun, Ting-ting Guo

{"title":"A new six-parameter model for solar cell parameters based on padé approximants","authors":"Jing-shu Sang, Shuxian Lun, Ting-ting Guo","doi":"10.1109/SOLI.2014.6960750","DOIUrl":"https://doi.org/10.1109/SOLI.2014.6960750","url":null,"abstract":"This paper proposes a six-parameter modeling method to represent parameters of solar cells. The traditional five-parameter model ignores the influence of temperature on series resistance and gives an accurate current-voltage (I - V ) characteristic expression only for mono-crystalline and poly-crystalline silicon solar cells. In this paper, padé approximants is used to express the relationship between series resistance and temperature and thus a new parameter, named temperature coefficient for series resistance, is introduced. The six-parameter modeling method can give a more reasonable description of series resistance about temperature and then provides a more accurate I-V characteristic estimation for silicon solar cells with different technology types, i. e., mono-crystalline, poly-crystalline, thin film, and triple-junction amorphous. Four types of silicon modules with different technology are tested at different solar irradiance and temperature conditions to validate the method proposed in this paper. Experiment results show the proposed six-parameter model is a simple, accurate and effective modeling method for solar cell parameters.","PeriodicalId":191638,"journal":{"name":"Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":" 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114101771","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: 4

Social data analysis framework in cloud and Mobility Analyzer for Smarter Cities 云中的社会数据分析框架和智慧城市的移动分析器

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-11-20 DOI: 10.1109/SOLI.2014.6960700

Linlin You, G. Motta, D. Sacco, Tianyi Ma

引用次数: 21

Dynamic prediction method of route travel time based on interval velocity measurement system 基于区间测速系统的路线行程时间动态预测方法

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-11-20 DOI: 10.1109/SOLI.2014.6960714

Min Wang, Qing Ma

{"title":"Dynamic prediction method of route travel time based on interval velocity measurement system","authors":"Min Wang, Qing Ma","doi":"10.1109/SOLI.2014.6960714","DOIUrl":"https://doi.org/10.1109/SOLI.2014.6960714","url":null,"abstract":"Focusing on the dynamic travel time prediction for the intelligent transportation system (ITS), this paper proposes a new prediction method by introducing the particle filters algorithm. Based on the interval velocity measurement system, various traffic parameters of the highway are obtained, and a state model with these associated parameters is built for the travel time estimation. Then, the probability distribution of the system state is simulated by a set of particles according to Bayesian theory. The distribution of these particles is updated real-time based on the state transition model and re-sampling method at last. The estimated travel time is given based on the predicted system state distribution. The proposed method learns the system state transition model based on the history data derived from the interval velocity measurement system. And the introduction of the particle filters improves the proposed method greatly to handle the dynamic and uncertainty of the system. Simulation experiments are taken on the traffic data from the detection sensors on several road sections. The results show that the proposed method has much better prediction performance than some traditional methods, and validate this method can be applied on the route travel time prediction of a dynamic traffic flow.","PeriodicalId":191638,"journal":{"name":"Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"47 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120821453","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: 7

Collaborative change impact analysis for enterprise application evolution 企业应用程序演进的协作变更影响分析

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-11-20 DOI: 10.1109/SOLI.2014.6960684

Xin Zhou, Feng Li, Yabin Dang, Hao Chen, Shaochun Li, Guangtai Liang

{"title":"Collaborative change impact analysis for enterprise application evolution","authors":"Xin Zhou, Feng Li, Yabin Dang, Hao Chen, Shaochun Li, Guangtai Liang","doi":"10.1109/SOLI.2014.6960684","DOIUrl":"https://doi.org/10.1109/SOLI.2014.6960684","url":null,"abstract":"Change impact analysis is increasingly challenging for enterprise applications due to that applications in an enterprise portfolio usually heavily depend on each other and also grow rapidly in both of scale and complexity. Automatic impact analysis based on intra- and inter-application dependencies implies potential impact propagation directions. However, due to the variety and complexity of dependencies, determining real impacts is intelligence intensive and usually needs interventions of Subject Matter Experts (SMEs) on each involved application. In this paper, to enable a more agile enterprise application evolution, we propose and implement a collaborative change impact analysis approach which effectively coordinates involvements and incorporates insights of relevant SMEs. In the approach, we first construct an initial collaborative change impact analysis roadmap based on application dependencies. Then, we iteratively invite and coordinate relevant SMEs based on the roadmap, and then leverage their insights to dynamically refine the roadmap. The evaluations on real enterprise applications show the effectiveness of our proposed approach.","PeriodicalId":191638,"journal":{"name":"Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127729547","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: 2

Improved recommendation system via propagated neighborhoods based collaborative filtering 基于传播邻域协同过滤的推荐系统改进

Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics Pub Date : 2014-11-20 DOI: 10.1109/SOLI.2014.6960704

Hao Ji, Xuan Chen, M. He, Jinfeng Li, Changrui Ren

{"title":"Improved recommendation system via propagated neighborhoods based collaborative filtering","authors":"Hao Ji, Xuan Chen, M. He, Jinfeng Li, Changrui Ren","doi":"10.1109/SOLI.2014.6960704","DOIUrl":"https://doi.org/10.1109/SOLI.2014.6960704","url":null,"abstract":"In this paper, a new two levels propagated neighborhoods based collaborative filtering method (PNCF) is proposed for developing effective and efficient recommendation system. Traditional collaborative filtering (CF) algorithms focus on construct k-nearest neighborhood for each item/user from user-item purchase/rating matrix, such as item-based k-nearest-neighbor collaborative filtering method (itemKNN) and user-based k-nearest-neighbor collaborative filtering method (userKNN). However, the utilization of K-nearest neighborhood method for singe item/user always misses some nature neighbors due to inevitable data noise and data sparsity, resulting in poor prediction accuracy. A novel two levels propagated neighborhoods construction strategy is introduced in PNCF to complement traditional K-nearest neighborhood method, uncovering the underlying neighborhood relationship of each data sample. Furthermore, utilizing propagated neighborhoods improves the recommendation quality. Numerous experiments on MovieLens data set show the superiority of our approach over current state of the art recommendation methods.","PeriodicalId":191638,"journal":{"name":"Proceedings of 2014 IEEE International Conference on Service Operations and Logistics, and Informatics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132781824","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