2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference最新文献_第4页

The future of E-learning: E-learning ecosystem 电子学习的未来:电子学习生态系统

2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference Pub Date : 2007-06-18 DOI: 10.1109/DEST.2007.371955

Loma Uden, Ince T. Wangsa, Ernesto Damiani

引用次数: 154

Eco-Tourists, Eco-Tourism and Eco-environments: A social, cultural and economic impact 生态旅游者、生态旅游和生态环境:社会、文化和经济影响

2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference Pub Date : 2007-06-18 DOI: 10.1109/DEST.2007.371939

D. Wood

引用次数: 0

Current Status of Biomedical Ontologies: Developments in 2006 生物医学本体的现状:2006年的发展

2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference Pub Date : 2007-06-18 DOI: 10.1109/DEST.2007.372042

A. Sidhu, T. Dillon, E. Chang

引用次数: 5

An Improved Orthogonal Dirty-Paper Coding Method for Watermarking Applications 一种改进的正交纸水印编码方法

2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference Pub Date : 2007-06-18 DOI: 10.1109/DEST.2007.372026

Xiaotian Xu, Y. Guan, K. C. Teh, B. Ng

引用次数: 1

Digital Business Ecosystems (DBE) 数字商业生态系统(DBE)

2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference Pub Date : 2007-06-18 DOI: 10.1109/DEST.2007.371942

J. Kennedy, M. Vidal, Claudius Masuch

引用次数: 5

Using Cellular Automata for feature construction - preliminary study 元胞自动机用于特征构建的初步研究

2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference Pub Date : 2007-06-18 DOI: 10.1109/DEST.2007.372023

M. Mertik, Mykola Pechenizkiy, G. Štiglic, P. Kokol

{"title":"Using Cellular Automata for feature construction - preliminary study","authors":"M. Mertik, Mykola Pechenizkiy, G. Štiglic, P. Kokol","doi":"10.1109/DEST.2007.372023","DOIUrl":"https://doi.org/10.1109/DEST.2007.372023","url":null,"abstract":"When first faced with a learning task, it is often not clear what a good representation of the training data should look like. We are often forced to create some set of features that appear plausible, without any strong confidence that they will yield superior learning. Beside, we often do not have any prior knowledge of what learning method is the best to apply, and thus often try multiple methods in an attempt to find the one that performs best. This paper describes a new method and its preliminary study for constructing features based on cellular automata (CA). Our approach uses self-organisation ability of cellular automata by constructing features being most efficient for making predictions. We present and compare the CA approach with standard genetic algorithm (GA) which both use genetic programming (GP) for constructing the features. We show and discuss some interesting properties of using CA approach in our preliminary experimental study by constructing features on synthetically generated dataset and benchmark datasets from the UCI machine learning repository. Based on the interesting results, we conclude with directions and orientation of the future work with ideas of applicability of CA approach in the feature.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130504192","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

Device Ecology: A Micro Digital Ecosystem 设备生态:一个微型数字生态系统

2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference Pub Date : 2007-06-18 DOI: 10.1109/DEST.2007.371969

M. Indrawan, Sea Ling, S. Loke

引用次数: 6

Monitoring Collaboration from a Value Perspective 从价值角度监控协作

2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference Pub Date : 2007-06-18 DOI: 10.1109/DEST.2007.371959

L. Bodenstaff, A. Wombacher, M. Reichert, R. Wieringa

引用次数: 12

Binding UMM Business Documents to a Business Document Ontology 将UMM业务文档绑定到业务文档本体

2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference Pub Date : 2007-06-18 DOI: 10.1109/DEST.2007.372048

B. Hofreiter

引用次数: 2

Design for Resilience of Networked Critical Infrastructures 网络关键基础设施弹性设计

2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference Pub Date : 2007-06-18 DOI: 10.1109/DEST.2007.372035

Mihaela Ulieru

{"title":"Design for Resilience of Networked Critical Infrastructures","authors":"Mihaela Ulieru","doi":"10.1109/DEST.2007.372035","DOIUrl":"https://doi.org/10.1109/DEST.2007.372035","url":null,"abstract":"Any critical infrastructure is controlled and managed by networked information and communication technologies (ICT) systems. Tremendous progress in the emerging area of ubiquitous, pervasive and tangible computing enables hardware and software to be integrated to a degree that makes possible a technological revolution in which ICT systems merged with physical infrastructure will be transformed together into a vast intelligence network, called an 'eNetwork'. eNetworks are the 'nervous system' of interdependent critical infrastructures and as such are the 'the weakest link'. We introduce a novel approach to building resilient critical supply networks of any kind (electricity, water, gas, finances, materials and products, etc). The proposed approach endows the eNetworked infrastructure with self-awareness such that it is able to identify possible threats or emerging vulnerabilities and reconfigure itself to attain resilience to both accidental failures and malicious attacks. By using natural models of emergence, much in the same manner that DNA is controlled in genetic engineering, we will be able to control the emergence of a network configuration resilient to anticipated threats before they manifest. The novelty consists in the integration of context-aware modelling as a tool for controlling the clustering mechanism through which the eNetwork self-organizes its services to tune its resilience according to the dynamics of the occurring situation. A significant step forward in the area of complexity science this novel approach enables a major breakthrough in the way we interact with the surrounding environment and physical world. Resilient eNetworks open perspectives unthinkable before on how to approach major technological, economic, societal and ecological problems of international concern, such as blackout-free electricity generation and distribution, optimization of energy consumption, networked transportation and manufacturing, disaster response, efficient agriculture, environmental monitoring, financial risk and sustainability assessment.","PeriodicalId":448012,"journal":{"name":"2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130774528","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: 39