2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST)最新文献_第2页

A scalable multi-agent architecture in environments with limited connectivity: Case study on individualised care for healthy pregnancy 连接受限环境中的可扩展多智能体架构:健康妊娠个性化护理案例研究

2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST) Pub Date : 2013-07-24 DOI: 10.1109/DEST.2013.6611334

Msury Mahunnah, K. Taveter

{"title":"A scalable multi-agent architecture in environments with limited connectivity: Case study on individualised care for healthy pregnancy","authors":"Msury Mahunnah, K. Taveter","doi":"10.1109/DEST.2013.6611334","DOIUrl":"https://doi.org/10.1109/DEST.2013.6611334","url":null,"abstract":"Technology advancement has motivated researches and studies in different domains which have enormous impact on the quality of life including healthcare domain. Among the challenges that hinder effective realization of these technologies in healthcare domain are heterogeneous nature of patients, limited internet connectivity - especially in developing countries -, and high costs of healthcare services resulting from hospitalizations and treatments of critical health conditions. In this paper we have addressed the solution to these challenges by using a case study of pregnant women. We firstly present the current status in the management of pregnancy complications, which motivates the need for improvement. We then describe analysis and design models by following agent-oriented modelling, which considers man-made agents (software agents) and human agents. Finally we present and discuss multi-agent architecture which addresses a solution to the outlined above healthcare challenges by considering (1) scalability of the provided healthcare service in environments with limited connectivity (2) providing patient care in accordance with the characteristics of individual patients such as allergies, medical history and hobbies (3) prediction of critical health conditions by using multi-parametric machine learning algorithms, which aim to provide early diagnosis of critical health condition, and (4) providing home care that enables patients to collect their physiological data and submit them to the hospital information system for continuous monitoring and analysis.","PeriodicalId":145109,"journal":{"name":"2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130623049","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

RESTful dissemination of healthcare data in mobile digital ecosystem 移动数字生态系统中医疗数据的rest式传播

2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST) Pub Date : 2013-07-24 DOI: 10.1109/DEST.2013.6611333

R. Kazi, R. Deters

{"title":"RESTful dissemination of healthcare data in mobile digital ecosystem","authors":"R. Kazi, R. Deters","doi":"10.1109/DEST.2013.6611333","DOIUrl":"https://doi.org/10.1109/DEST.2013.6611333","url":null,"abstract":"Mobile technology is playing a significant role in transforming the healthcare domain and enabling a new era of digital healthcare ecosystem. In healthcare, tablets are replacing the conventional paper-based way of tracking patient's record. These devices are not only used to collect user's inputs as events, they can perform various analytical computations and provide an instant output in order to meet investigator's need. As these tablets are interacting over wireless networks, the communication often suffers intermittent connection loss. This can prevent tablets from successfully propagating event data. In this paper, we propose a novel architecture for disseminating events among mobile participants. Our architecture has two contributions - first, it addresses the challenge of Wi-Fi network while synchronizing data among tablets, and second, it develops a RESTful architecture assuming that only HTTP like protocol is used in event dissemination. Our framework adopts PInGO (Pain Information on the Go) application that has been developed in research collaboration with Bioinformatics Research Lab at University of Saskatchewan for Juvenile Idiopathic Arthritis (JIA) patients. Patient's inputs from the application were used in disseminating event data within the proposed framework.","PeriodicalId":145109,"journal":{"name":"2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131696027","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

Complementor embeddedness in platform ecosystems: The case of google apps 平台生态系统中的互补嵌入性:以谷歌应用程序为例

2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST) Pub Date : 2013-07-24 DOI: 10.1109/DEST.2013.6611326

J. Angeren, Vincent Blijleven, S. Jansen, S. Brinkkemper

引用次数: 17

Python: Characteristics identification of a free open source software ecosystem Python:自由开源软件生态系统的特征识别

2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST) Pub Date : 2013-07-24 DOI: 10.1109/DEST.2013.6611322

Rick Hoving, G.C.A. Slot, S. Jansen

{"title":"Python: Characteristics identification of a free open source software ecosystem","authors":"Rick Hoving, G.C.A. Slot, S. Jansen","doi":"10.1109/DEST.2013.6611322","DOIUrl":"https://doi.org/10.1109/DEST.2013.6611322","url":null,"abstract":"Analysing a free open source software ecosystem can be beneficial and can help stakeholders in numerous ways. The analysis can help developers, investors, and contributors, to decide which software ecosystem to invest in and where to invest. Another reason for making an analysis is to assist ecosystem coordinators in governing their ecosystem. The paper provides an insight on the free open source software ecosystem of Python. It presents an analysis of the software ecosystem itself and the different characteristics it has. Based upon the conducted analysis with the available dataset, the research concludes that the free open source software ecosystem of Python contains three ecosystem roles that define its ecosystem. Next to that, it has grown exponentially from 31 active developers in 2005 to 5,212 December 2012. These results can help set up a strategy for the future of the Python ecosystem. At this point in time, it is necessary to make arrangements for the ongoing growth of the Python ecosystem. Failing to do so can lead to a growing number of unusable features, and eventually advance to an unhealthy ecosystem.","PeriodicalId":145109,"journal":{"name":"2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127125701","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: 20

The cover time of neighbor-avoiding gossiping on geometric random networks 几何随机网络上避邻八卦的覆盖时间

2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST) Pub Date : 2013-07-24 DOI: 10.1109/DEST.2013.6611321

G. Gianini, E. Damiani

引用次数: 3

CoPrA: A tool for coding and measuring communication in teams CoPrA:在团队中编码和测量沟通的工具

2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST) Pub Date : 2013-07-24 DOI: 10.1109/DEST.2013.6611327

Fulvio Frati, Isabella Seeber

引用次数: 2

TEXTvre: Textual scholarship and the institutional ecosystem 文本:文本学术与制度生态系统

2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST) Pub Date : 2013-07-24 DOI: 10.1109/DEST.2013.6611331

M. Hedges, Tobias Blanke, M. Illingworth

引用次数: 0

The role of task difficulty in the effectiveness of collective intelligence 任务难度在集体智慧有效性中的作用

2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST) Pub Date : 2013-07-24 DOI: 10.1109/DEST.2013.6611335

C. Wagner, Ayoung Suh

{"title":"The role of task difficulty in the effectiveness of collective intelligence","authors":"C. Wagner, Ayoung Suh","doi":"10.1109/DEST.2013.6611335","DOIUrl":"https://doi.org/10.1109/DEST.2013.6611335","url":null,"abstract":"The article presents a framework and empirical investigation to demonstrate the role of task difficulty in the effectiveness of collective intelligence. The research contends that collective intelligence, a form of community engagement to address problem solving tasks, can be superior to individual judgment and choice, but only when the addressed tasks are in a range of appropriate difficulty, which we label the “collective range”. Outside of that difficulty range, collectives will perform about as poorly as individuals for high difficulty tasks, or only marginally better than individuals for low difficulty tasks. An empirical investigation with subjects randomly recruited online supports our conjecture. Our findings qualify prior research on the strength of collective intelligence in general and offer preliminary insights into the mechanisms that enable individuals and collectives to arrive at good solutions. Within the framework of digital ecosystems, the paper argues that collective intelligence has more survival strength than individual intelligence, with highest sustainability for tasks of medium difficulty.","PeriodicalId":145109,"journal":{"name":"2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122893469","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: 5

How to anticipate the level of activity of a sustainable collaborative network: The case of urban freight delivery through logistics platforms 如何预测可持续协作网络的活动水平:以城市货物通过物流平台交付为例

2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST) Pub Date : 2013-07-24 DOI: 10.1109/DEST.2013.6611341

Lucile Faure, G. Battaia, G. Marquès, R. Guillaume, C. A. Vega-Mejía, J. Montoya-Torres, A. Muñoz-Villamizar, C. L. Quintero-Araújo

引用次数: 15

Ontology exploration tool for social, economic and environmental development 面向社会、经济和环境发展的本体探索工具

2013 7th IEEE International Conference on Digital Ecosystems and Technologies (DEST) Pub Date : 2013-07-24 DOI: 10.1109/DEST.2013.6611350

Kouji Kozaki, T. Kumazawa, Osamu Saito, R. Mizoguchi

引用次数: 0