{"title":"SOCOM: Multi-sensor Oriented Context Model Based on Ontologies","authors":"Rong Tan, Junzhong Gu, Zhou Zhong, Peng Chen","doi":"10.1109/IE.2012.12","DOIUrl":"https://doi.org/10.1109/IE.2012.12","url":null,"abstract":"Sensor plays an important role in context-aware computing. While sensor modeling is usually isolated from former researches on context modeling and sensor type is always restricted to physical ones, this paper aims to provide a more comprehensive insight into the relationships between sensor and context. Based on a more generic definition of sensor and a corresponding sensor category in context-aware computing, main characteristics of sensor and the relations between sensor and context are analyzed in details. In particular, a multi-sensor oriented context model based on ontology approach is proposed. The model which has been applied to a middleware supporting for rapid context-aware applications development is proved to be effective.","PeriodicalId":156841,"journal":{"name":"2012 Eighth International Conference on Intelligent Environments","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123639423","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}
{"title":"Peer Energy Cloud -- Civil Marketplace for Trading Renewable Energies","authors":"Boris Brandherm, Jörg Baus, J. Frey","doi":"10.1109/IE.2012.46","DOIUrl":"https://doi.org/10.1109/IE.2012.46","url":null,"abstract":"An increasing number of private households are becoming producers of renewable energy. From an economic perspective it is beneficial to utilize this energy both locally and promptly. This does require the ability to be able to deal with local excess production at short notice using, for example, an electronic trading platform. The objective of \"PeerEnergyCloud\" is to research and develop cloud-based technologies for such a trading platform. In this paper we describe an interactive demonstration as it was presented to a wide audience at the CeBIT 2012 fair which took place in Hanover, Germany. The demonstration shows a future energy scenario demonstrating techniques which are necessary as a basis for a civil marketplace for trading renewable energies. We will especially focus on the learning of profiles and based on this the forecast of energy consumption and production. Visitors could indicate individual sensors and available data, switch on and off appliances and hence influence the given user profile and experience the changes on the forecast and in the agent system's behavior. Like the visitors of the CeBIT conference attendees will be able to experience in an interactive demonstration techniques which are necessary as a basis for a civil marketplace for trading renewable energies.","PeriodicalId":156841,"journal":{"name":"2012 Eighth International Conference on Intelligent Environments","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126888169","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}
{"title":"Intelligent Mobile Cloud Education: Smart Anytime-Anywhere Learning for the Next Generation Campus Environment","authors":"Minjuan Wang, Jason W. P. Ng","doi":"10.1109/IE.2012.8","DOIUrl":"https://doi.org/10.1109/IE.2012.8","url":null,"abstract":"Learning has evolved significantly, creating several challenges for the traditional educational system. This paradigm shift in education is imminent and has since gathered a great deal of interest in recent years, as an attempt to bridge the technological gap in the educational sector. Under EBTIC's international iCampus (intelligent campus) initiative [1], this paper examines mobile cloud-education -- a novel cutting-edge research in the area of intelligent learning, based on the design, development and testing of a mobile cloud learning system. This system can provide smart anytime-anywhere learning that is customised and adapted to individuals, and delivered via personal portables devices. A preliminary testing of the system reveals its effectiveness in supporting teaching and learning in an intelligent campus environment.","PeriodicalId":156841,"journal":{"name":"2012 Eighth International Conference on Intelligent Environments","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130979264","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}
Sergio Misó, Miguel J. Hornos, María Luisa Rodríguez
{"title":"Highly Adaptive and Context-Aware Intelligent System of Urban Events for Mobile Devices","authors":"Sergio Misó, Miguel J. Hornos, María Luisa Rodríguez","doi":"10.1109/IE.2012.22","DOIUrl":"https://doi.org/10.1109/IE.2012.22","url":null,"abstract":"This paper presents a system that provides the users information about cultural, training and leisure activities that they could probably be interested in. These activities shown on the screen of a mobile device will take place in the user's environment. We intend to make information more accessible to the users so that they can take advantage of the cultural opportunities that are developed in their environment as well as facilitating their social interaction. Our proposal consists of an automatic information system that dynamically retrieves data from the Internet and a context-aware recommender system that provides information on the mentioned activities to the users taking into account their location and preferences. To anticipate user's tastes and needs, we also propose a feedback system that learns user's interests while s/he is using the application.","PeriodicalId":156841,"journal":{"name":"2012 Eighth International Conference on Intelligent Environments","volume":"29 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128297470","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}
{"title":"Intelligent Business Process Engineering: An Agent Based Model for Understanding and Managing Business Change","authors":"V. Zamudio, Ping Zheng, V. Callaghan","doi":"10.1109/IE.2012.59","DOIUrl":"https://doi.org/10.1109/IE.2012.59","url":null,"abstract":"This paper advances the hypothesis that a business can be regarded as a collection of interacting rule based processes, that are analogous to a set of rule based coordinating pervasive computing agents that make up intelligent environments. In this paper we explore this hypothesis and, in particular, investigate the application of directed graph theory, normally used in determining the stability of systems of pervasive computing agents, to business systems. In doing this we present an account of interaction networks, business process reengineering, show how they are both based around the use of 'process' abstractions and illustrate how they can be integrated using a representative example. This paper represents a first step in our longer-term goals to explore the full potential for AI to create smart business monitoring and management tools.","PeriodicalId":156841,"journal":{"name":"2012 Eighth International Conference on Intelligent Environments","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132001090","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}
{"title":"Intelligent In-Car-Infotainment System: A Prototypical Implementation","authors":"S. R. Garzon","doi":"10.1109/IE.2012.19","DOIUrl":"https://doi.org/10.1109/IE.2012.19","url":null,"abstract":"Over the last years, the automotive research community was mainly focused onto the popular field of research known as autonomous driving. Essentially, most of the work is dealing with the challenge to sense the environment in a proper way in order to autonomously control a car without any intervention by a human. Thus, in the future passengers will operate the on-board computers for entertainment purposes only. But our vision of an intelligent car is not only made of the aforementioned self-controlled driving feature, but also of an in-car-infotainment system that acts autonomously based on the users needs. By detecting environment-dependent regularities of use, an intelligent in-car-infotainment system would be able to proactively automate complex interaction tasks that are supposed to happen anyway. In this demo we present a prototype of an intelligent in-car-infotainment system that adapts itself based on the context-dependent daily routines of the user. An newly developed real-world driving simulator is used in conjunction with the prototype to simulate the environment of the car in order to let the user experience the personalization in real-time.","PeriodicalId":156841,"journal":{"name":"2012 Eighth International Conference on Intelligent Environments","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134541135","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}
{"title":"A Hybrid Method for Hand Gesture Recognition","authors":"Yu Huang, D. Monekosso, Hui Wang, J. Augusto","doi":"10.1109/IE.2012.30","DOIUrl":"https://doi.org/10.1109/IE.2012.30","url":null,"abstract":"Hand gesture recognition aims to recognize the meaningful expressions of hand motion. It is widely used in information visualization, robotics, sign language understanding, medicine and healthcare. Some methods have been proposed for hand gesture recognition. But no single algorithm can handle all kinds of situations, because of the complex environment. In this study, we propose a hybrid method for hand gesture recognition, which extends our previous work on a gesture recognition method based on concept learning by the addition of an association learning process. We use association learning to reveal the frequent patterns in gesture sequences, and then use such patterns to help recognize incomplete gesture sequences. Experiments show the use of association learning does indeed improve recognition accuracy. Experiments also show the hybrid method is comparable to two state of the art methods (HMMs and DTW) for hand gesture recognition, but outperforms them in the larger datasets.","PeriodicalId":156841,"journal":{"name":"2012 Eighth International Conference on Intelligent Environments","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121352373","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}
Pierluigi Casale, Juan Manuel Fernández, X. Palou, S. Torrellas, Mojdeh Ratsgoo, F. Miralles
{"title":"Enhancing User Experience with Brain-Computer-Interfaces in Smart Home Environments","authors":"Pierluigi Casale, Juan Manuel Fernández, X. Palou, S. Torrellas, Mojdeh Ratsgoo, F. Miralles","doi":"10.1109/IE.2012.71","DOIUrl":"https://doi.org/10.1109/IE.2012.71","url":null,"abstract":"In this work, the benefits of Ambient Intelligence for enhancing user experience with Brain Computer Interfaces are explored. In a smart-home environment, statistics of devices activations are used to learn user habits and to adapt the interface for providing the most usual option to the user, reducing the time spent navigating through hierarchical menus. The activation statistics are learned by discriminative machine learning algorithms able to provide the most suitable options for the user interface. Promising experimental results on simulated scenarios encourage following on this research direction.","PeriodicalId":156841,"journal":{"name":"2012 Eighth International Conference on Intelligent Environments","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131308668","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}
{"title":"\"What Do You Want to Do Next?\" Providing the User with More Freedom in Adaptive Spoken Dialogue Systems","authors":"G. Bertrand, F. Nothdurft, W. Minker","doi":"10.1109/IE.2012.27","DOIUrl":"https://doi.org/10.1109/IE.2012.27","url":null,"abstract":"Spoken dialogue is a suitable form for user interaction in intelligent environments because of its low demands to presentation hardware (e.g. microphone and speaker set) and its low cognitive demand. That means that the user can still do something else while communicating with a spoken dialogue system (SDS). In this paper, we investigate the demands to modern SDSs in intelligent environments and how to provide the user with more freedom by using constraint programming techniques for dialogue management. For this we present an architecture which allows for adaptivity and freedom in SDSs.","PeriodicalId":156841,"journal":{"name":"2012 Eighth International Conference on Intelligent Environments","volume":"227 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114988173","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}
Asier Aztiria, R. Basagoiti, J. Augusto, Gonzalo Espejo
{"title":"A System to Learn Frequent Behavioural Patterns","authors":"Asier Aztiria, R. Basagoiti, J. Augusto, Gonzalo Espejo","doi":"10.1109/IE.2012.33","DOIUrl":"https://doi.org/10.1109/IE.2012.33","url":null,"abstract":"Intelligent Environments (IEs) are expected to support people in their daily lives. To achieve this goal, the environment should learn how to react to the actions and needs of the users, and this should be achieved in an unobtrusive and transparent way. In order to provide personalized and adapted services, it is necessary to know the preferences and habits of users. Thus, the ability to learn patterns of behaviour becomes an essential aspect for the successful implementation of IEs. This paper presents a system, Learning Frequent Patterns of User Behaviour System (LFPUBS), that discovers user's frequent behaviours. LFPUBS was validated using data collected from real environments.","PeriodicalId":156841,"journal":{"name":"2012 Eighth International Conference on Intelligent Environments","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129861188","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}