2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)最新文献_第3页

Study on Resource Scheduling Method of Predictive Maintenance for Equipment Based on Knowledge 基于知识的设备预测性维修资源调度方法研究

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.13

X. Li, J. Wen, Rui Zhou, Yaoguang Hu

{"title":"Study on Resource Scheduling Method of Predictive Maintenance for Equipment Based on Knowledge","authors":"X. Li, J. Wen, Rui Zhou, Yaoguang Hu","doi":"10.1109/ISKE.2015.13","DOIUrl":"https://doi.org/10.1109/ISKE.2015.13","url":null,"abstract":"At present, heavy industrial competition makes more manufacturing pay attention to the service based on their products. Therefore, product service system has caused the extensive value of the academic circles. Service resource scheduling is the key step in the product service delivery, which depends on the knowledge mined from history service data and product information in the use process, namely the different fault maintenance scheme, technicians' skill, equipment state information, fault prediction information, work plan, etc. Based on this, this paper puts forward a resource scheduling method for predictive maintenance services of equipment whose location change dynamically, aiming at eliminating potential failure, minimizing service cost and outage cost, considering the technicians' ability of different maintenance task, fault prediction information, equipment operation plan and other constraints. First, a mathematical model is set up to describe this problem. Then this paper adopts a hybrid algorithm to resolve that. Last, the result that the best time of servicing, route planning and the reasonable technician, shows this method can improve the service level and reduce total cost.","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123234058","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

Game Theory with Probabilistic Prediction for Conflict Resolution in Air Traffic Management 空中交通管理冲突解决的概率预测博弈论

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.87

Kaijun Xu, Heng Yin, Long Zhang, Yang Xu

引用次数: 5

Lasso Screening for Object Categories Recognition Using Multi-directional Context Features 基于多方向上下文特征的目标类别识别套索筛选

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.74

Danfei Shen, Guitao Cao, Dan Meng

{"title":"Lasso Screening for Object Categories Recognition Using Multi-directional Context Features","authors":"Danfei Shen, Guitao Cao, Dan Meng","doi":"10.1109/ISKE.2015.74","DOIUrl":"https://doi.org/10.1109/ISKE.2015.74","url":null,"abstract":"Image representation using local features and sparse coding (SC) plays a very important role in image classification when the dataset is fairly large. Despite of its worldwide popularity, there are still some improving space in classification efficiency and computational investment in training and coding phrase of SC. In this paper, we put forward a novel object categories recognition method from two aspects. First, the contextual relevance between image patches are fully utilized by merging local feature of every sub-patch with its neighboring ones into strong context features to generate the multiple sparse representations, which are received by the SC and multi-scale max pooling SPM(Spatial Pyramid Matching), respectively. Second, while calculating the sparse coefficients of SC, we need to solve L1-regularized least square problem. Screening out the zero coefficients and discarding the corresponding inactive codewords before solving Lasso problem can remarkably speed up the optimization. The proposed method outperforms state-of-the-art performancein a large number of image categorization experiments on several benchmarks: the ground truth dataset (21 Land-Use database), the event dataset (UIUC-Sport dataset), and the object recognition dataset (Caltech101 dataset).","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130466650","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

Cross-Domain Learning Based Traditional Chinese Medicine Medical Record Classification 基于跨领域学习的中医病案分类

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.99

Yiming Li, Baogang Wei, Hui Chen, Licheng Jiang, Zherong Li

引用次数: 3

Selective Hierarchical Ensemble Modeling Approach and Its Application in Leaching Process 选择性层次集成建模方法及其在浸出过程中的应用

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.14

Guanghao Hu, Fei Yang

引用次数: 0

Discovery of Field Functional Dependencies 字段功能依赖关系的发现

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.9

Jizhou Sun, Jianzhong Li, Hong Gao, Xianmin Liu

{"title":"Discovery of Field Functional Dependencies","authors":"Jizhou Sun, Jianzhong Li, Hong Gao, Xianmin Liu","doi":"10.1109/ISKE.2015.9","DOIUrl":"https://doi.org/10.1109/ISKE.2015.9","url":null,"abstract":"Integrity constrains in relational database were proposed for logical database designation. Recently, the data quality problem is getting more and more attentions, and integrity constrains are used for detecting and repairing inconsistent data. In the purpose of detecting inconsistent data more comprehensively, previous research has proposed more type of integrity constrains, including conditional functional dependencies, editing rules and fixing rules, etc. In this paper, a new type of constrain was proposed: field functional dependencies(FFDs). In case that a database is logically well designed, it becomes difficult to detect and repair inconsistent data according to normal functional dependencies, while FFDs can be a complementary to this case. To make well use of FFDs, this paper has concentrated on the problem of discovering FFDs, i.e., given a sample database instance, how to find out such kind of constrain rules between attributes. Usually the input data could be so large that it becomes expensive and inefficient for manually discovering of FFDs. According to the properties of FFDs, an efficient algorithm was designed to discover these rules. Finally, the efficiency of the discovering algorithm, and the coverage of FFDs when detecting data errors compared with previous works were experimentally evaluated.","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114897844","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

Automated Outlier Removal for Mobile Microbenchmarking Datasets 移动微基准测试数据集的自动离群值去除

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.55

A. Rehn, Jason J. Holdsworth, Ickjai Lee

{"title":"Automated Outlier Removal for Mobile Microbenchmarking Datasets","authors":"A. Rehn, Jason J. Holdsworth, Ickjai Lee","doi":"10.1109/ISKE.2015.55","DOIUrl":"https://doi.org/10.1109/ISKE.2015.55","url":null,"abstract":"Microbenchmarking is a useful tool for fine-grained performance analysis, and represents a potentially valuable tool in the development of mobile applications and systems. However, the fine-grained measurements of microbenchmarking are inherently susceptible to noise from the underlying operating system and hardware. This noise includes outliers that must be removed in order to produce meaningful results. Existing microbenchmarking implementations utilise only simple mechanisms for removing outliers. In this paper we propose a heuristic for the automated removal of outliers from mobile microbenchmarking datasets. We then simplify this heuristic for use on mobile devices. Empirical evaluation demonstrates that our outlier removal heuristics are effective across microbenchmarking datasets collected from a range of mobile devices. Our simplified heuristic operates in log-linear time, making it suitable for use on resource-constrained mobile devices. The ability to perform outlier removal on-device without the need for post-processing on desktop or server hardware enhances the utility of mobile microbenchmarking tools. Our results present interesting opportunities for further studies across a broader range of device platforms.","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114911088","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: 3

Automatic Question-Answering Based on Wikipedia Data Extraction 基于维基百科数据提取的自动问答

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.78

Xiangzhou Huang, Baogang Wei, Yin Zhang

引用次数: 4

A New Proposal to Represent the Linguistic Conditional Preference Networks 一种新的语言条件偏好网络表示方法

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.32

I. Truck, Wolfgang Schmid

引用次数: 2

Information System's Security Evaluation of Dynamic Behavior Based on Service Composition 基于服务组合的信息系统动态行为安全评价

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI: 10.1109/ISKE.2015.71

DanChen Wang, Yang Xu, Peng Xu

{"title":"Information System's Security Evaluation of Dynamic Behavior Based on Service Composition","authors":"DanChen Wang, Yang Xu, Peng Xu","doi":"10.1109/ISKE.2015.71","DOIUrl":"https://doi.org/10.1109/ISKE.2015.71","url":null,"abstract":"In the complex network environment, system service is dynamically adjusted according to the changes of user behavior and computing environment. Also, security strategy tends to be more dynamic based on the work flow, which will bring new challenges to the security evaluation of system operation. Therefore, this paper aims to regard the service composition business as research object, focusing on the analysis of security equipment's character that deployed by the system, abstracting the behavior of security service, classifying it to the business service, and systematically solving the security evaluation problems in business operation. Meanwhile, user behavior pattern is established on the cloud-model theory, and fully studied in the premise of ensuring the structural accuracy of work flow. Then, by analyzing the credibility of user behavior, the utility function is defined from the relation between threat and protection, and the security service efficiency identified by the change operation set of security service. Furthermore, a guaranteeing method is raised to the rational reconstruction by a security component, which produces an adequate redundant path of component service according to the existing executive record and logical structure, so as to reach the goal of ensuring the operation security of system business.","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116603501","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