2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems最新文献_第7页

Rich Context Representation for Situation Aware System 情境感知系统的富上下文表示

2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems Pub Date : 2012-07-04 DOI: 10.1109/CISIS.2012.177

Yoshitaka Sakurai, K. Takada, P. Ceravolo, E. Damiani, S. Tsuruta

引用次数: 0

Evaluation of Human Robot Interaction Factors of a Socially Assistive Robot Together with Older People 老年人社会辅助机器人人机交互因素评价

2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems Pub Date : 2012-07-04 DOI: 10.1109/CISIS.2012.36

Katharina Werner, J. Oberzaucher, Franz Werner

引用次数: 34

Text Classification Using a Graph of Terms 使用术语图的文本分类

2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems Pub Date : 2012-07-04 DOI: 10.1109/CISIS.2012.183

Paolo Napoletano, F. Colace, M. D. Santo, L. Greco

{"title":"Text Classification Using a Graph of Terms","authors":"Paolo Napoletano, F. Colace, M. D. Santo, L. Greco","doi":"10.1109/CISIS.2012.183","DOIUrl":"https://doi.org/10.1109/CISIS.2012.183","url":null,"abstract":"It is well known that supervised text classification methods need to learn from many labeled examples to achieve a high accuracy. However, in a real context, sufficient labeled examples are not always available. For this reason, there has been recent interest in methods that are capable of obtaining a high accuracy even if the size of the training set is not big. The main purpose of text mining techniques is to identify common patterns through the observation of vectors of features and then to use such patterns to make predictions. Most existing methods usually make use of a vector of features made up of weighted words that unfortunately are insufficiently discriminative when the number of features is much higher than the number of labeled examples. In this paper we demonstrate that, to obtain a greater accuracy in the analysis and revelation of common patterns, we could employ more complex features than simple weighted words. The proposed vector of features considers a hierarchical structure, named a mixed Graph of Terms, composed of a directed and an undirected sub-graph of words, that can be automatically constructed from a set of documents through the probabilistic Topic Model. The method has been tested on the top 10 classes of the ModApte split from the Reuters-21578 dataset, learned on several subsets of the original training set and showing a better performance than a method using a list of weighted words as a vector of features and linear support vector machines.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132110564","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: 13

A Framework for User Feedback Based Cloud Service Monitoring 基于用户反馈的云服务监控框架

2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems Pub Date : 2012-07-04 DOI: 10.1109/CISIS.2012.157

Z. Rehman, O. Hussain, S. Parvin, F. Hussain

{"title":"A Framework for User Feedback Based Cloud Service Monitoring","authors":"Z. Rehman, O. Hussain, S. Parvin, F. Hussain","doi":"10.1109/CISIS.2012.157","DOIUrl":"https://doi.org/10.1109/CISIS.2012.157","url":null,"abstract":"The increasing popularity of the cloud computing paradigm and the emerging concept of federated cloud computing have motivated research efforts towards intelligent cloud service selection aimed at developing techniques for enabling the cloud users to gain maximum benefit from cloud computing by selecting services which provide optimal performance at lowest possible cost. Given the intricate and heterogeneous nature of current clouds, the cloud service selection process is, in effect, a multi criteria optimization or decision-making problem. The possible criteria for this process are related to both functional and nonfunctional attributes of cloud services. In this context, the two major issues are: (1) choice of a criteria-set and (2) mechanisms for the assessment of cloud services against each criterion for thorough continuous cloud service monitoring. In this paper, we focus on the issue of cloud service monitoring wherein the existing monitoring and assessment mechanisms are entirely dependent on various benchmark tests which, however, are unable to accurately determine or reliably predict the performance of actual cloud applications under a real workload. We discuss the recent research aimed at achieving this objective and propose a novel user-feedback-based approach which can monitor cloud performance more reliably and accurately as compared with the existing mechanisms.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133381336","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: 50

Simultaneous Resolution of Buffer Allocation and Query Scheduling Problems 同时解决缓冲区分配和查询调度问题

2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems Pub Date : 2012-07-04 DOI: 10.1109/CISIS.2012.201

Amira Kerkad, Ladjel Bellatreche, D. Geniet

引用次数: 3

mJADES: Concurrent Simulation in the Cloud mJADES:云中的并发仿真

2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems Pub Date : 2012-07-04 DOI: 10.1109/CISIS.2012.134

M. Rak, Antonio Cuomo, Umberto Villano

引用次数: 34

Mapping Geospatial Applications onto Parallel and Distributed Environments 将地理空间应用映射到并行和分布式环境

2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems Pub Date : 2012-07-04 DOI: 10.1109/CISIS.2012.152

D. Rodila, D. Gorgan

引用次数: 1

Managing Semantic Models for Representing Intangible Enterprise Assets: The ARISTOTELE Project Software Architecture 管理表示企业无形资产的语义模型:ARISTOTELE项目软件体系结构

2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems Pub Date : 2012-07-04 DOI: 10.1109/CISIS.2012.167

Angelo Gaeta, M. Gaeta, F. Orciuoli, Pierluigi Ritrovato

{"title":"Managing Semantic Models for Representing Intangible Enterprise Assets: The ARISTOTELE Project Software Architecture","authors":"Angelo Gaeta, M. Gaeta, F. Orciuoli, Pierluigi Ritrovato","doi":"10.1109/CISIS.2012.167","DOIUrl":"https://doi.org/10.1109/CISIS.2012.167","url":null,"abstract":"The wealth of modern enterprises has progressively shifted from tangible assets (capital, resources,) into intangible ones (knowledge, reputation, skills management, innovation processes,). Intangibles are closely related to the natural interactions normally occurring among work practices. This is where ideas, innovation, learning, knowledge, social cohesion, and other diverse intangibles synergistically contribute to performance, competition differentiators and value creation. In order to make these intangibles productive for the organization, we have to define suitable models for their correct representation in real contexts, as well as tools for their proper management in the workplace environment in a transparent way. All these aspects are the foundation of the ARISTOTELE research project. In this paper, we address two issues: i) the use of semantic technologies for modeling and cross relating relevant organizational assets, namely knowledge, competency, worker and learning, ii) how to design a software architecture for managing these models through the integration of ad-hoc developed tools and commercial off-the-shelf platforms.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124772618","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: 16

Patterns for Cognitive Systems 认知系统模式

2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems Pub Date : 2012-07-04 DOI: 10.1109/CISIS.2012.182

Michael S. P. Miller

引用次数: 6

Mobile Tutoring for Situated Learning and Collaborative Learning in AIML Application Using QR-Code 基于qr码的AIML应用中情境学习与协同学习的移动辅导

2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems Pub Date : 2012-07-04 DOI: 10.1109/CISIS.2012.154

O. D. Pietro, Giovanni Frontera

{"title":"Mobile Tutoring for Situated Learning and Collaborative Learning in AIML Application Using QR-Code","authors":"O. D. Pietro, Giovanni Frontera","doi":"10.1109/CISIS.2012.154","DOIUrl":"https://doi.org/10.1109/CISIS.2012.154","url":null,"abstract":"The aim of this paper is to illustrate a technique of integration between Tutor Bot and QR codes, used to label real objects during learning activities in direct educational contexts (egc. Situated learning and Authentic Learning). Tutor Bot knowledge base, structured in AIML (Artificial Intelligent Markup Language), is questioned in natural language using a mobile device (smart-phones, tablet, etc...) that, with a specific software decodes the instructions contained in a QR label placed on the real object observed by the learner. Through the information contained in the QR-Code Tutor Bot provides, in natural language, labeled object description and refers to further investigations: for example referring to multimedia resources related to the observed object. With the help of these tools, learners can expand their learning experience by interacting directly with a virtual tutor and real with the virtual world. With this technique, the activity of learning by doing, Situated Learning, Authentic Learning and Collaborative Learning, can be enhanced and virtualized by increasing the educational efficiency.","PeriodicalId":158978,"journal":{"name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127408890","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: 23