2013 International Conference on Collaboration Technologies and Systems (CTS)最新文献_第2页

CSS: Facilitate the cloud service selection in IaaS platforms CSS:方便IaaS平台的云服务选择

2013 International Conference on Collaboration Technologies and Systems (CTS) Pub Date : 2013-05-20 DOI: 10.1109/CTS.2013.6567253

Hangwei Qian, Hualong Zu, Chenghua Cao, Qixin Wang

引用次数: 32

STEM collaboration in virtual world academy 虚拟世界学院的STEM合作

2013 International Conference on Collaboration Technologies and Systems (CTS) Pub Date : 2013-05-20 DOI: 10.1109/CTS.2013.6567288

Lydia Divine, Robert L. Williams

{"title":"STEM collaboration in virtual world academy","authors":"Lydia Divine, Robert L. Williams","doi":"10.1109/CTS.2013.6567288","DOIUrl":"https://doi.org/10.1109/CTS.2013.6567288","url":null,"abstract":"There is general agreement about the importance of increasing the number of students choosing career fields in Science, Technology, Engineering, and Mathematics (STEM). However most of the initiatives designed to get students interested in STEM fields are constrained by floor space, budget, or driving distance. These factors, in combination, act to limit the affordability and accessibility of research opportunities in STEM fields to students in schools faced with increasingly limited budgets or lacking access to experienced STEM teachers. Since a trained STEM workforce is crucial to tackling research challenges of importance to the Air Force and the nation, the Air Force Research Laboratory (AFRL) Discovery Lab program has developed a Virtual Reality Academy (VRA) program utilizing open source virtual reality software, Open Simulator, to create a virtual collaboration environment called Virtual (reality) Discovery Center (VDC). This 16-region VDC is the key to the Discovery Lab's 1,000 Student Outreach initiative designed to greatly expand the Discovery Lab's ability to make project-based “hands-on” research experience accessible to students across the country via the Open Simulator collaboration technologies. This paper highlights many of the successful efforts to establish VDC Virtual Learning Academies in areas such as Biology, Nanotechnology, Computer Vision, and Mobile Computing (smartphone apps). This paper is not a scientific study of Open Simulator as a collaboration tool for STEM but rather a descriptive overview of its successful implementation locally and nationally - suggesting its potential as a game-changer in STEM education and research.","PeriodicalId":256633,"journal":{"name":"2013 International Conference on Collaboration Technologies and Systems (CTS)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132695925","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

A gateway sensor network architecture for home energy management 一种用于家庭能源管理的网关传感器网络架构

2013 International Conference on Collaboration Technologies and Systems (CTS) Pub Date : 2013-05-20 DOI: 10.1109/CTS.2013.6567216

Yusuf Öztürk, Prakash Jha, Sunil Kumar, Gordon K. Lee

引用次数: 3

Big data: A review 大数据:回顾

2013 International Conference on Collaboration Technologies and Systems (CTS) Pub Date : 2013-05-20 DOI: 10.1109/CTS.2013.6567202

Ş. Sağiroğlu, Duygu Sinanc

引用次数: 1146

Big data, deep data, and the effect of system architectures on performance 大数据、深度数据以及系统架构对性能的影响

2013 International Conference on Collaboration Technologies and Systems (CTS) Pub Date : 2013-05-20 DOI: 10.1109/CTS.2013.6567201

P. Kogge

{"title":"Big data, deep data, and the effect of system architectures on performance","authors":"P. Kogge","doi":"10.1109/CTS.2013.6567201","DOIUrl":"https://doi.org/10.1109/CTS.2013.6567201","url":null,"abstract":"Summary form only given. “Big Data” traditionally refers to some combination of high volume of data, high velocity of change, and/or wide variety and complexity of the underlying data. Solving such problems has evolved into using paradigms like MapReduce on large clusters of compute nodes. More recently, a growing number of “Deep Data” problems have arisen where it is the relationships between objects, and not necessarily the collections of objects, that are important, and for which the traditional implementation techniques are unsatisfactory. This talk addresses a study of a class of such “challenge problems” first formulated by David Bayliss of LexisNexis, and what are their execution characteristics on both current and future architectures. The goal is to discover, to at least a first order approximation, what are the tall poles preventing a speedup of their solution. A variety or architectures are considered, ranging from standard server blades in large scale configurations, to emerging variations that leverage simpler and more energy efficient chip sets, through systems built on 3D chip stacks, and on to new architectures that were designed from the ground up to “follow the links.” Such architectures are considered for two variants of such problems: a traditional partitioned data approach where data is “pre-boiled” to provide fast response, and one that uses very large graphs in very large shared memories. The results are not necessarily intuitive; the bottlenecks in such problems are not where current systems have the bulk of their capabilities or costs, nor where obvious near term upgrades will have major effects. Instead, it appears that only highly scalable memory-intensive architectures offer the potential for truly major gains in application performance.","PeriodicalId":256633,"journal":{"name":"2013 International Conference on Collaboration Technologies and Systems (CTS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116982055","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: 9

Promoting cooperation and coordination in international disaster management 促进国际灾害管理合作与协调

2013 International Conference on Collaboration Technologies and Systems (CTS) Pub Date : 2013-05-20 DOI: 10.1109/CTS.2013.6567240

J. C. Hagen, M. P. Chhetri, N. Steiner

{"title":"Promoting cooperation and coordination in international disaster management","authors":"J. C. Hagen, M. P. Chhetri, N. Steiner","doi":"10.1109/CTS.2013.6567240","DOIUrl":"https://doi.org/10.1109/CTS.2013.6567240","url":null,"abstract":"In a time of increasing number and severity of disasters, local, national, regional, international, continental and global cooperation and coordination are more vital than ever before. Emergency management is the lynchpin on which effective cooperation and coordination depend. By working together, a proactive plan can be formulated for future disaster management activities among the countries. Moreover, sharing of experiences and exchange of views among the experts of different countries has the potential to result in a model that may be used for disaster prevention and mitigation all over the world. Scientific and disaster mitigation organizations should seek to develop working relationships based on mutual trust and the recognition of differing characteristics, goals and needs. Regular contact among the different groups before, during, and after the disasters would greatly enhance this potential. Disaster mitigation organizations should take advantage of opportunities to work together to provide relevant training for the emergency management personnel to enhance disaster mitigation/relief efforts and the timeliness, quality and accuracy of reporting about the disasters and results of our efforts to affect them.","PeriodicalId":256633,"journal":{"name":"2013 International Conference on Collaboration Technologies and Systems (CTS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124070866","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

HPCC systems and opera solutions deliver a comprehensive suite of tools to support Travel Agents identify and capture new-sell/cross-sell/up-sell opportunities A case study HPCC系统和opera解决方案提供了一套全面的工具，以支持旅行社识别和捕捉新的销售/交叉销售/追加销售机会

2013 International Conference on Collaboration Technologies and Systems (CTS) Pub Date : 2013-05-20 DOI: 10.1109/CTS.2013.6567206

Siddhartha Bagaria, R. Palmer, J. Spoelstra

{"title":"HPCC systems and opera solutions deliver a comprehensive suite of tools to support Travel Agents identify and capture new-sell/cross-sell/up-sell opportunities A case study","authors":"Siddhartha Bagaria, R. Palmer, J. Spoelstra","doi":"10.1109/CTS.2013.6567206","DOIUrl":"https://doi.org/10.1109/CTS.2013.6567206","url":null,"abstract":"Summary form only given. New-sell/cross-sell/up-sell opportunity identification and capture for Travel Agents. Volume and velocity are two of the three V's that define Big Data [1]. This is especially true in the global travel industry, where billions of messages are being passed between travel agents and travel providers on a continual basis, arriving at rates of hundreds/thousands per second (this includes for example availability requests, rate information, bookings, changes to booking and cancellations.) This presents a challenge for traditional Business Intelligence reporting based on relational databases since a `state' needs to be maintained continually for multiple millions of bookings, and even more so for advanced predictive analytics where the task is not only to retrieve data, but to compute complex derived variables and statistical models based on continuously evolving patterns in the underlying data. The only solution is to use a distributed platform that can scale to the volume and velocity required [2]. In this talk we will discuss case studies in the travel industry. The goal is to provide a comprehensive suite of tools to support travel agents identify and capture new-sell/crosssell/up-sell opportunities from this continuous flow of data. This includes extraction of `true performance' for each agent/agency necessitating clustering to construct like-for-like peer-groups based on the travel fingerprints for bookings being made, through to the real-time recommendations of specific named hotels to go with selected air segments that is based on sophisticated collaborative filtering as well as a K-Nearest Neighbors approach on a feature space calculated over a rolling period of historical bookings. Extracting these features, what we call signals, brought in the third V - variety: We use information from va","PeriodicalId":256633,"journal":{"name":"2013 International Conference on Collaboration Technologies and Systems (CTS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129296962","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

Collective assessment of arguments in an online intelligent argumentation system for collaborative decision support 基于协同决策支持的在线智能论证系统中的论证集体评估

2013 International Conference on Collaboration Technologies and Systems (CTS) Pub Date : 2013-05-20 DOI: 10.1109/CTS.2013.6567263

Ravi Santosh Arvapally, Xiaoqing Frank Liu

{"title":"Collective assessment of arguments in an online intelligent argumentation system for collaborative decision support","authors":"Ravi Santosh Arvapally, Xiaoqing Frank Liu","doi":"10.1109/CTS.2013.6567263","DOIUrl":"https://doi.org/10.1109/CTS.2013.6567263","url":null,"abstract":"We developed an intelligent argumentation system for collaborative decision support which allows stakeholders to exchange arguments, captures their rationale, and assesses aggregate thoughts on solution alternatives [1, 21]. In this article we propose and evaluate a method for computing aggregate thoughts of arguments on individual arguments, which represents individual thoughts, in an argumentation tree and further classifying arguments based on relationships between its aggregate thoughts and individual thoughts. A novel approach is developed to derive collective determination of an argument based on total support and attack that an argument receives in the argumentation tree. The collective determination value and the strength of an argument are used to analyze the relationship between aggregate thought and individual thought of arguments and cluster the arguments. The decision maker will be able to review clusters of arguments with opposing collective thoughts and supporting collective thoughts versus their individual thoughts. We have carried out an experiment to evaluate the proposed method, and the experimental results show that the proposed method is effective.","PeriodicalId":256633,"journal":{"name":"2013 International Conference on Collaboration Technologies and Systems (CTS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131339168","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

Collaborative reporting tools: An analysis of maintainance activites in a semiconductor factory 协作报告工具:对半导体工厂维护活动的分析

2013 International Conference on Collaboration Technologies and Systems (CTS) Pub Date : 2013-05-20 DOI: 10.1109/CTS.2013.6567278

Patricia M. Kluckner, Roland Buchner, A. Weiss, M. Tscheligi

引用次数: 3

High-level development of collaborative virtual environments 协同虚拟环境的高水平开发

2013 International Conference on Collaboration Technologies and Systems (CTS) Pub Date : 2013-05-20 DOI: 10.1109/CTS.2013.6567287

V. Y. Kharitonov

引用次数: 0