2013 9th International Conference on Intelligent Environments最新文献

Digital Techniques of Representation and Theoretical Discourse: From Folded Space to Intelligent Architectural Environments 数字表征技术与理论话语:从折叠空间到智能建筑环境

2013 9th International Conference on Intelligent Environments Pub Date : 2013-07-16 DOI: 10.1109/IE.2013.28

Eleni Vlachonasiou

引用次数: 0

AdAPT -- A Dynamic Approach for Activity Prediction and Tracking for Ambient Intelligence 适应——一种环境智能活动预测和跟踪的动态方法

2013 9th International Conference on Intelligent Environments Pub Date : 2013-07-16 DOI: 10.1109/IE.2013.38

J. Frey

引用次数: 5

Intelligent Monitoring of Stereotyped Motion Disorders in Case of Children with Autism 孤独症儿童刻板运动障碍的智能监测

2013 9th International Conference on Intelligent Environments Pub Date : 2013-07-16 DOI: 10.1109/IE.2013.12

Giovanni Paragliola, A. Coronato

引用次数: 11

D.L.D., Dynamic Lighting Design: Parametric Interactive Lighting Software in Urban Public Space 动态照明设计:城市公共空间的参数化交互照明软件

2013 9th International Conference on Intelligent Environments Pub Date : 2013-07-16 DOI: 10.1109/IE.2013.13

A. Karamouzi, Dimitris Papalexopoulos, Athina Stavridou, S. Tzimopoulou, T. Varoudis

引用次数: 0

Wearable Recognition System for Physical Activities 体育活动可穿戴识别系统

2013 9th International Conference on Intelligent Environments Pub Date : 2013-07-16 DOI: 10.1109/IE.2013.50

A. M. Khan, M. Lawo, H. Papadopoulos

引用次数: 9

Selectable Directional Audio for Multiple Telepresence in Immersive Intelligent Environments 沉浸式智能环境中多重远程呈现的可选定向音频

2013 9th International Conference on Intelligent Environments Pub Date : 2013-07-16 DOI: 10.1109/IE.2013.33

Alfonso Torrejon, V. Callaghan, H. Hagras

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引用次数: 2

Visualizing Urban Anaylsis in Mixed Reality 混合现实中的可视化城市分析

2013 9th International Conference on Intelligent Environments Pub Date : 2013-07-16 DOI: 10.1109/IE.2013.44

Lukas Treyer, A. Koltsova, S. Georgakopoulou

引用次数: 2

SEEDrive -- An Adaptive and Rule Based Driving System SEEDrive——基于规则的自适应驾驶系统

2013 9th International Conference on Intelligent Environments Pub Date : 2013-07-16 DOI: 10.1109/IE.2013.25

Emre Yay, N. M. Madrid

引用次数: 4

A Design Framework for Smart City Learning Scenarios 智慧城市学习场景的设计框架

2013 9th International Conference on Intelligent Environments Pub Date : 2013-07-16 DOI: 10.1109/IE.2013.34

J. Malek, M. Laroussi, H. Ghézala

引用次数: 6

Stable Metrics in Amorphous Computing: An Application to Validate Operation and Monitor Behavior 非晶计算中的稳定度量:验证操作和监控行为的应用

2013 9th International Conference on Intelligent Environments Pub Date : 2013-07-16 DOI: 10.1109/IE.2013.18

M. Lear

{"title":"Stable Metrics in Amorphous Computing: An Application to Validate Operation and Monitor Behavior","authors":"M. Lear","doi":"10.1109/IE.2013.18","DOIUrl":"https://doi.org/10.1109/IE.2013.18","url":null,"abstract":"A recurring theme in intelligent environments is the intelligent surface composed of nanoscale processing units (smart dust). Such a surface (iSurface) can be considered an amorphous computer composed of a large array of identical processing units (iCells) each with its own sensor/effectors. Whilst nano-sized particles interconnecting in an ad hoc way may just be a dream, there are more practical approaches that could have short term applications in intelligent environments. One such approach is a structured array of iCells constructed at more modest scales perhaps making use of new printing methods onto paper. An important requirement of such a surface is the need for a fast, reliable method to determine iCell operation, performance and code integrity. This paper describes a method to create long (>=32 bit) stable, robust metrics using a profiling technique that represents the current operational state of an iCell and thus enabling the quick exchange of diagnostics between iCells along with data traffic. This paper looks at how stable diagnostic metrics and in particular a metric of code integrity can be created even when external events affect program flow within the iCell. Key requirements in the development of this system were fast acquisition of diagnostic variables, minimal affect on normal operation and the possibility of a hardware implementation which could be completely non intrusive in operation. The described method can create several types of metrics, allowing quick determination of for example, code validation, abnormal operation and unusual behavior.","PeriodicalId":353156,"journal":{"name":"2013 9th International Conference on Intelligent Environments","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124641298","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