2010 Sixth International Conference on Intelligent Environments最新文献_第6页

A Quality of Service-Enabled Pricing Approach for Heterogeneous Wireless Access Networks 基于服务质量的异构无线接入网络定价方法

2010 Sixth International Conference on Intelligent Environments Pub Date : 2010-07-18 DOI: 10.1109/IE.2010.49

J. Ibáñez, Carlos A. Flores-Cortés, A. B. Marti, A. Reyes

{"title":"A Quality of Service-Enabled Pricing Approach for Heterogeneous Wireless Access Networks","authors":"J. Ibáñez, Carlos A. Flores-Cortés, A. B. Marti, A. Reyes","doi":"10.1109/IE.2010.49","DOIUrl":"https://doi.org/10.1109/IE.2010.49","url":null,"abstract":"Heterogeneous wireless access networks (HWAN) will create a market for the delivery of an extensive collection of novel and attractive services and contents. Accounting and pricing the ubiquitous services will play a key role from both service providers and users point of view. By one hand, wireless service providers (WSP) look for the maximum revenue and utilization rate and by other hand users will select service providers depending on the offered price and the Quality of Service (QoS) assurance. In such a market-based scenario, accounting will become an effective tool that satisfies the users’ service demands and maximizes the revenue of the providers. For WSP is of vital importance to define a charging and accounting architecture that supports fast and easy the provision of existent and new services with the best quality. In this sense, a dynamical network selection mechanism has to be developed to decide an appropriate radio access cell or technology for a specific service. Additionally, service providers must consider alternative solutions to situations where the best quality for the requested service cannot be provided, allowing them maintaining a high user satisfaction level. In this paper we propose a simple QoS-based dynamic pricing approach for services provisioning into a heterogeneous wireless access networks environment which attempts to increase user’s satisfaction level by firstly, maximizing the provided QoS level, and secondly, by applying dynamic pricing strategies according to the QoS. These strategies will allow service providers to maximize their profits. Simulations results demonstrate that the proposed dynamic pricing approach benefits both users and WSP. Results suggest that users have better overall satisfaction due to a better QoS level and fairer prices. The analysis shows that our proposed pricing approach helps increasing WSPs profits compared to the application of the flat-rate pricing model into a competitive market-model.","PeriodicalId":180375,"journal":{"name":"2010 Sixth International Conference on Intelligent Environments","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129881072","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: 6

Formal Models for Ambient Intelligence 环境智能的正式模型

2010 Sixth International Conference on Intelligent Environments Pub Date : 2010-07-18 DOI: 10.1109/IE.2010.76

P. Mikulecký

引用次数: 2

Supporting Cooking Tasks by a Smart Formulation Table 智能配方表支持烹饪任务

2010 Sixth International Conference on Intelligent Environments Pub Date : 2010-07-18 DOI: 10.1109/IE.2010.41

W. Maass, A. Filler

引用次数: 1

Activity Recognition for Smart Homes Using Dempster-Shafer Theory of Evidence Based on a Revised Lattice Structure 基于改进晶格结构的Dempster-Shafer证据理论的智能家居活动识别

2010 Sixth International Conference on Intelligent Environments Pub Date : 2010-07-18 DOI: 10.1109/IE.2010.16

Jing Liao, Y. Bi, C. Nugent

引用次数: 14

Outlier Detection in Smart Environment Structured Power Datasets 智能环境结构化电力数据集的离群点检测

2010 Sixth International Conference on Intelligent Environments Pub Date : 2010-07-18 DOI: 10.1109/IE.2010.13

Vikramaditya R. Jakkula, D. Cook

引用次数: 62

iWorlds: Building Mixed Reality Intelligent Environments Using Customisable 3D Virtual Worlds iWorlds:使用可定制的3D虚拟世界构建混合现实智能环境

2010 Sixth International Conference on Intelligent Environments Pub Date : 2010-07-18 DOI: 10.1109/IE.2010.63

Marc Davies, V. Callaghan

引用次数: 12

Using a Hidden Markov Model for Resident Identification 基于隐马尔可夫模型的居民身份识别

2010 Sixth International Conference on Intelligent Environments Pub Date : 2010-07-18 DOI: 10.1109/IE.2010.21

Aaron S. Crandall, D. Cook

{"title":"Using a Hidden Markov Model for Resident Identification","authors":"Aaron S. Crandall, D. Cook","doi":"10.1109/IE.2010.21","DOIUrl":"https://doi.org/10.1109/IE.2010.21","url":null,"abstract":"In smart home environments, it is highly desirable to know who is performing what actions. This knowledge allows the system to accurately build individuals' histories and to take personalized action based on the current resident. Without a good handle on identity, multi-resident smart homes are less effective when used for medical and assistive applications. Most smart home systems either have a single occupancy requirement, or rely on a wireless or video device to identify individuals. These requirements are too burdensome in some situations, which can limit the deployment of smart home technologies in environments that would derive benefits from them. This research work introduces the use of passive sensors and a Hidden Markov Model as a means to identify individuals. The result is a passive, low profile means to attribute individual events to unique residents. For this work, two different pairs of individuals living in a smart home testbed are used to evaluate the tools. The data used is from unscripted, full time occupancy and annotated by the residents themselves for accuracy. Lastly, the Hidden Markov Model approach is compared and contrasted against a prior Naive Bayes solution on the same data sets.","PeriodicalId":180375,"journal":{"name":"2010 Sixth International Conference on Intelligent Environments","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121186807","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: 48

A Self-Organizing System for Online Maintenance of a Living Organism 联机维护活生物体的自组织系统

2010 Sixth International Conference on Intelligent Environments Pub Date : 2010-07-18 DOI: 10.1109/IE.2010.58

Y. Kovalchuk, V. Callaghan

{"title":"A Self-Organizing System for Online Maintenance of a Living Organism","authors":"Y. Kovalchuk, V. Callaghan","doi":"10.1109/IE.2010.58","DOIUrl":"https://doi.org/10.1109/IE.2010.58","url":null,"abstract":"Intelligent environments have the ability to assist people in their everyday life, with the aim of improving their wellbeing. One aspect of a humans’ wellbeing is their health. The ability to monitor, understand, and correct bodily processes in real time and in convenient way can help people to improve their state of health, foresee and prevent diseases, will promote wellbeing and a longer life. To achieve these goals, this paper proposes a conceptual model of a self-organizing system which allows for online tracking and tuning of bodily processes. The system includes a Biofeedback Module, a Biological Module, an Adjusting Module, and a Recommender Module. This research exploits an interdisciplinary approach. The Biofeedback Module deploys innovations in bio-sensing technology and uses concepts from biological and mathematical sciences; it is responsible for biological signal processing and is designed to form a Multi-Agent System (MAS). The Adjusting Module is inspired by findings in sport, nutrition, pharmacy, meditation, and other health related areas. Its computational model is implemented using Agent Technology and Game Theory. The Recommender Module provides interaction with a user, presenting computational results in a readable format. All elements can be integrated into a small handy device. The proposed system has a wide range of applications, including biology, health care, sport, entertainment, robotics, and military.","PeriodicalId":180375,"journal":{"name":"2010 Sixth International Conference on Intelligent Environments","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116886791","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

TalkMaths Better ! Evaluating and Improving an Intelligent Interface for Creating and Editing Mathematical Text 更好地谈论数学!数学文本创建与编辑智能界面的评价与改进

2010 Sixth International Conference on Intelligent Environments Pub Date : 2010-07-18 DOI: 10.1109/IE.2010.62

A. Wigmore, Eckhard Pflügel, G. Hunter, J. Denholm-Price, M. Colbert

引用次数: 10

Non-parametric Regression and Random Balance Method Modification for Determination of the Most Informative Features 非参数回归与修正随机平衡法确定最具信息量的特征

2010 Sixth International Conference on Intelligent Environments Pub Date : 2010-07-18 DOI: 10.1109/IE.2010.19

Kseniya Zablotskaya, Mumtaz Ahmed, Sergey Zablotskiy, W. Minker

{"title":"Non-parametric Regression and Random Balance Method Modification for Determination of the Most Informative Features","authors":"Kseniya Zablotskaya, Mumtaz Ahmed, Sergey Zablotskiy, W. Minker","doi":"10.1109/IE.2010.19","DOIUrl":"https://doi.org/10.1109/IE.2010.19","url":null,"abstract":"In this paper we present a new method which allows us to detect the most informative features out of all data extracted from a certain data corpus. Widely used Pearson’s coefficient is not reliable if the dependency between extracted features (input variables) and the objective function (output) is not linear. This approach is based on a modified random balance method (RBM) combined with non-parametric kernel regression for modeling the dependency between output and input variables. The standard random balance method stochastically determines the most important features of a process, but it requires the values of the objective function at the certain assigned points. If there is no possibility to calculate these values, it is necessary to approximate them. Since we assume that the dependency between stochastic variables can be non-linear, it is necessary to take an appropriate model. We used non-parametric kernel regression because knowledge about the parametric structure of the dependency is not needed. Moreover, we modified the random balance method to handle the non-linearity of the data","PeriodicalId":180375,"journal":{"name":"2010 Sixth International Conference on Intelligent Environments","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125859897","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