Architecture aims to create smart environments that, based on the network model, resemble more and more to living systems. New relations generate interactive landscapes where man finds new individual and collective dimensions.
{"title":"Creative Autotegulation: Towards an Interactive Urban Landscape","authors":"Gaetano De Francesco, Rosetta Angelini","doi":"10.1109/IE.2014.61","DOIUrl":"https://doi.org/10.1109/IE.2014.61","url":null,"abstract":"Architecture aims to create smart environments that, based on the network model, resemble more and more to living systems. New relations generate interactive landscapes where man finds new individual and collective dimensions.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126549333","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}
Educational resource center is a digital content management and service system with all kinds of educational information resources collected. By analyzing the current development of educational resource center, this paper proposes that ecological development is the strategic goal of educational resource center, and presents a use efficiency model of educational resource center. The use efficiency index system formed from this study has been demonstrated in domestic well-known Shanghai Educational Resource Center. The potential association between different sub factors is explored through the data analysis, and the relative rules are provided to show how educational resource center supports instruction, and improve the operation level of educational resource center.
{"title":"The Research on the Use Efficiency of Educational Resource Center with the Ecological System Structure","authors":"Jun Xiao, XiaoXiao Zhu, Bingqian Jiang","doi":"10.1109/IE.2014.75","DOIUrl":"https://doi.org/10.1109/IE.2014.75","url":null,"abstract":"Educational resource center is a digital content management and service system with all kinds of educational information resources collected. By analyzing the current development of educational resource center, this paper proposes that ecological development is the strategic goal of educational resource center, and presents a use efficiency model of educational resource center. The use efficiency index system formed from this study has been demonstrated in domestic well-known Shanghai Educational Resource Center. The potential association between different sub factors is explored through the data analysis, and the relative rules are provided to show how educational resource center supports instruction, and improve the operation level of educational resource center.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122495122","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}
Robots will play a vital role in our future personal spaces and we need to provide ways for robots and humans to interact with each other in a way that is natural, intuitive, descriptive and unambiguous. In this paper we introduce a framework that enables a human and robot to naturally interact and communicate with each other using the idea of diagrams. The diagrams are formed by a connected set of object markers placed in the environment. These markers can either be physically present in the environment or virtually present using marker-less technology. This paper presents a marker-less method for globally persistent markers. Diagrams are formed by connecting the objects together enabling the user to easily interact and control the robot in complex ways. We report on a proof-of-concept implementation of our framework and show how the framework can be used to program a robot to carry out navigation and action tasks within an environment.
{"title":"Human Robot Interaction and Control: Translating Diagrams into an Intuitive Augmented Reality Approach","authors":"E. Lakshantha, S. Egerton","doi":"10.1109/IE.2014.24","DOIUrl":"https://doi.org/10.1109/IE.2014.24","url":null,"abstract":"Robots will play a vital role in our future personal spaces and we need to provide ways for robots and humans to interact with each other in a way that is natural, intuitive, descriptive and unambiguous. In this paper we introduce a framework that enables a human and robot to naturally interact and communicate with each other using the idea of diagrams. The diagrams are formed by a connected set of object markers placed in the environment. These markers can either be physically present in the environment or virtually present using marker-less technology. This paper presents a marker-less method for globally persistent markers. Diagrams are formed by connecting the objects together enabling the user to easily interact and control the robot in complex ways. We report on a proof-of-concept implementation of our framework and show how the framework can be used to program a robot to carry out navigation and action tasks within an environment.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122186862","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}
This paper describes the technical and organizational infrastructure designed to integrate a bio sensing based water quality evaluation system into a nascent water well monitoring and response program in the Terban district of Yogyakarta, Indonesia. The system AirKami (Bahasa Indonesia for 'our water'), combines a desktop bio incubator, flexible and scalable IT data management, local ecological knowledge and community support to create a new community-technology effort that includes a novel water filtration and distribution system. The project materially improves the drinking water supply for Terban residents where government efforts have been insufficient.
{"title":"Biosensing in the Kampung","authors":"M. Böhlen, I. Maharika, Z. Yin, L. Hakim","doi":"10.1109/IE.2014.11","DOIUrl":"https://doi.org/10.1109/IE.2014.11","url":null,"abstract":"This paper describes the technical and organizational infrastructure designed to integrate a bio sensing based water quality evaluation system into a nascent water well monitoring and response program in the Terban district of Yogyakarta, Indonesia. The system AirKami (Bahasa Indonesia for 'our water'), combines a desktop bio incubator, flexible and scalable IT data management, local ecological knowledge and community support to create a new community-technology effort that includes a novel water filtration and distribution system. The project materially improves the drinking water supply for Terban residents where government efforts have been insufficient.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128983274","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}
Jingyuan Cheng, Mathias Sundholm, Bo Zhou, M. Kreil, P. Lukowicz
We demonstrate through a pressure sensor matrix, that weight distribution on feet is influenced by body posture. A small cheap carpet equipped with low precision pressure sensor matrix is already sufficient to detect subtle activities and identity of the person on the carpet. By a 0.4 m2 matrix of 32 × 32, 12 bit pressure sensors, we achieve 78.7% accuracy for 11 test subjects performing 7 subtle activities (open 7 different drawers or cabinet doors) and 88.6% accuracy in recognizing who has performed the activities. We thus see the potential of using a single carpet as a unified approach in houses to detect how inhabitants interact with the furniture without attaching different sensors onto each single furniture.
{"title":"Recognizing Subtle User Activities and Person Identity with Cheap Resistive Pressure Sensing Carpet","authors":"Jingyuan Cheng, Mathias Sundholm, Bo Zhou, M. Kreil, P. Lukowicz","doi":"10.1109/IE.2014.29","DOIUrl":"https://doi.org/10.1109/IE.2014.29","url":null,"abstract":"We demonstrate through a pressure sensor matrix, that weight distribution on feet is influenced by body posture. A small cheap carpet equipped with low precision pressure sensor matrix is already sufficient to detect subtle activities and identity of the person on the carpet. By a 0.4 m2 matrix of 32 × 32, 12 bit pressure sensors, we achieve 78.7% accuracy for 11 test subjects performing 7 subtle activities (open 7 different drawers or cabinet doors) and 88.6% accuracy in recognizing who has performed the activities. We thus see the potential of using a single carpet as a unified approach in houses to detect how inhabitants interact with the furniture without attaching different sensors onto each single furniture.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"121 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116711310","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}
F. Honold, P. Bercher, Felix Richter, F. Nothdurft, T. Geier, Roland Barth, Thilo Hoernle, Felix Schüssel, Stephan Reuter, Matthias Rau, G. Bertrand, Bastian Seegebarth, Peter Kurzok, B. Schattenberg, W. Minker, M. Weber, Susanne Biundo-Stephan
The properties of multimodality, individuality, adaptability, availability, cooperativeness and trustworthiness are at the focus of the investigation of Companion Systems. In this article, we describe the involved key components of such a system and the way they interact with each other. Along with the article comes a video, in which we demonstrate a fully functional prototypical implementation and explain the involved scientific contributions in a simplified manner. The realized technology considers the entire situation of the user and the environment in current and past states. The gained knowledge reflects the context of use and serves as basis for decision-making in the presented adaptive system.
{"title":"Companion-Technology: Towards User- and Situation-Adaptive Functionality of Technical Systems","authors":"F. Honold, P. Bercher, Felix Richter, F. Nothdurft, T. Geier, Roland Barth, Thilo Hoernle, Felix Schüssel, Stephan Reuter, Matthias Rau, G. Bertrand, Bastian Seegebarth, Peter Kurzok, B. Schattenberg, W. Minker, M. Weber, Susanne Biundo-Stephan","doi":"10.1109/IE.2014.60","DOIUrl":"https://doi.org/10.1109/IE.2014.60","url":null,"abstract":"The properties of multimodality, individuality, adaptability, availability, cooperativeness and trustworthiness are at the focus of the investigation of Companion Systems. In this article, we describe the involved key components of such a system and the way they interact with each other. Along with the article comes a video, in which we demonstrate a fully functional prototypical implementation and explain the involved scientific contributions in a simplified manner. The realized technology considers the entire situation of the user and the environment in current and past states. The gained knowledge reflects the context of use and serves as basis for decision-making in the presented adaptive system.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115642064","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}
Noticeable, within the area of Smart Homes, Intelligent Environment and/or Ambient Assisted Living the research deviates into two main branches. On the one hand, there are the agent-based distributed approaches providing intelligent services with focus on data analysis. On the other hand there are the centralized middleware platforms with the main focus on interfacing appliances and services and providing accessible user personalized and interfaces. To bridge this gap, we propose to integrate FIPA Specifications compliant MAS approaches with a standardized middleware platform, the ISO/IEC 24752 Universal Remote Console (URC). By doing so, we resolve two problems that have been neglected so far. Firstly, we provide for MASs a standardized way of interfacing arbitrary appliances and services. Secondly, we allow to deploy personalized and accessible user interfaces for MAS. Additionally, from the point of view of the URC technology, we provide a uniform way to interact with agents. We illustrate the capabilities of the proposed framework with a centralized, decentralized, and hybrid setup scenario.
{"title":"Bridging the Gap between Smart Home and Agents","authors":"Jochen Britz, J. Frey, J. Alexandersson","doi":"10.1109/IE.2014.12","DOIUrl":"https://doi.org/10.1109/IE.2014.12","url":null,"abstract":"Noticeable, within the area of Smart Homes, Intelligent Environment and/or Ambient Assisted Living the research deviates into two main branches. On the one hand, there are the agent-based distributed approaches providing intelligent services with focus on data analysis. On the other hand there are the centralized middleware platforms with the main focus on interfacing appliances and services and providing accessible user personalized and interfaces. To bridge this gap, we propose to integrate FIPA Specifications compliant MAS approaches with a standardized middleware platform, the ISO/IEC 24752 Universal Remote Console (URC). By doing so, we resolve two problems that have been neglected so far. Firstly, we provide for MASs a standardized way of interfacing arbitrary appliances and services. Secondly, we allow to deploy personalized and accessible user interfaces for MAS. Additionally, from the point of view of the URC technology, we provide a uniform way to interact with agents. We illustrate the capabilities of the proposed framework with a centralized, decentralized, and hybrid setup scenario.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125913345","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}
In the Internet of Things, heterogeneous and distributed streams of sensor events is a driver for context-aware behavior in intelligent environments. However, processing the event data usually cross-cuts the business logic of IoT applications and offering such reusable functionality as a service towards a variety of customers with different needs is often faced with scalability concerns. We present SAMURAI, a multi-tenant streaming context architecture that integrates and exposes well-known components for complex event processing, machine learning, knowledge representation, NoSQL persistence and in-memory data grids. SAMURAI pursues a twofold approach to achieve scalability: (1) distributed deployment with horizontal scalability, (2) shared resources through multi-tenancy. For the scenario used in the experimental evaluation of our architecture, the results show little overhead to support multi-tenancy, with near-linear scalability and flexible elasticity for deployment schemes with data partitioning per tenant.
{"title":"SAMURAI: A Streaming Multi-tenant Context-Management Architecture for Intelligent and Scalable Internet of Things Applications","authors":"D. Preuveneers, Y. Berbers","doi":"10.1109/IE.2014.43","DOIUrl":"https://doi.org/10.1109/IE.2014.43","url":null,"abstract":"In the Internet of Things, heterogeneous and distributed streams of sensor events is a driver for context-aware behavior in intelligent environments. However, processing the event data usually cross-cuts the business logic of IoT applications and offering such reusable functionality as a service towards a variety of customers with different needs is often faced with scalability concerns. We present SAMURAI, a multi-tenant streaming context architecture that integrates and exposes well-known components for complex event processing, machine learning, knowledge representation, NoSQL persistence and in-memory data grids. SAMURAI pursues a twofold approach to achieve scalability: (1) distributed deployment with horizontal scalability, (2) shared resources through multi-tenancy. For the scenario used in the experimental evaluation of our architecture, the results show little overhead to support multi-tenancy, with near-linear scalability and flexible elasticity for deployment schemes with data partitioning per tenant.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125195272","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}
Feature selection is a key step for activity classification applications. Feature selection selects the most relevant features and considers how to use each of the selected features in the most suitable format. This paper proposes an efficient feature selection method that organizes multiple subsets of features in a multilayer, rather than utilizing all selected features together as one large feature set. The proposed method was evaluated by 13 subjects (aged from 23 to 50) in a lab environment. The experimental results illustrate that the large number of features (3 vs. 7 features) are not associated with high classification accuracy using a single Support Vector Machine (SVM) model (61.3% vs. 44.7%). However, the accuracy was improved significantly (83.1% vs. 44.7%), when the selected 7 features were organized as 3 subsets and used to classify 10 postures (9 motionless with 1 motion) in 3 layers via a hierarchical algorithm, which combined a rule-based algorithm with 3 independent SVM models.
特征选择是活动分类应用程序的关键步骤。特征选择选择最相关的特征，并考虑如何以最合适的格式使用所选择的每个特征。本文提出了一种高效的特征选择方法，该方法将多个特征子集组织在一个多层中，而不是将所有选择的特征作为一个大的特征集。在实验室环境中对13名年龄在23岁至50岁之间的受试者进行了评估。实验结果表明，使用单个支持向量机(SVM)模型(61.3% vs. 44.7%)时，大量特征(3个特征vs. 7个特征)与高分类准确率无关。然而，当将选择的7个特征组织为3个子集，并将基于规则的算法与3个独立的SVM模型相结合，使用分层算法对3层10个姿势(9个静止与1个运动)进行分类时，准确率显著提高(83.1% vs. 44.7%)。
{"title":"An Efficient Feature Selection Method for Activity Classification","authors":"Shumei Zhang, P. Mccullagh, V. Callaghan","doi":"10.1109/IE.2014.10","DOIUrl":"https://doi.org/10.1109/IE.2014.10","url":null,"abstract":"Feature selection is a key step for activity classification applications. Feature selection selects the most relevant features and considers how to use each of the selected features in the most suitable format. This paper proposes an efficient feature selection method that organizes multiple subsets of features in a multilayer, rather than utilizing all selected features together as one large feature set. The proposed method was evaluated by 13 subjects (aged from 23 to 50) in a lab environment. The experimental results illustrate that the large number of features (3 vs. 7 features) are not associated with high classification accuracy using a single Support Vector Machine (SVM) model (61.3% vs. 44.7%). However, the accuracy was improved significantly (83.1% vs. 44.7%), when the selected 7 features were organized as 3 subsets and used to classify 10 postures (9 motionless with 1 motion) in 3 layers via a hierarchical algorithm, which combined a rule-based algorithm with 3 independent SVM models.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124979391","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}
Evaluation indicator related to Smart Cities has been researched in the International Electro technical Commission, International Intelligent Community Forum, Vienna University of Technology and China Electronics Standardization Institute. This paper proposes an evaluation model for Smart Cities informationalization applications and services according to the concept of leveraging ICT to make a better city infrastructure, public service, society management, environment and industry system. Based on the model, the standard evaluation indicator system and the indicator selection principles are proposed.
{"title":"Evaluation Model and Indicator System of Informationization Applications and Services in Smart Cities","authors":"Yuan Yuan, Tangli Liu","doi":"10.1109/IE.2014.21","DOIUrl":"https://doi.org/10.1109/IE.2014.21","url":null,"abstract":"Evaluation indicator related to Smart Cities has been researched in the International Electro technical Commission, International Intelligent Community Forum, Vienna University of Technology and China Electronics Standardization Institute. This paper proposes an evaluation model for Smart Cities informationalization applications and services according to the concept of leveraging ICT to make a better city infrastructure, public service, society management, environment and industry system. Based on the model, the standard evaluation indicator system and the indicator selection principles are proposed.","PeriodicalId":341235,"journal":{"name":"2014 International Conference on Intelligent Environments","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115096222","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}
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