Pub Date : 2013-03-18DOI: 10.1109/PerComW.2013.6529452
W. Dargie, Eldora, Julian Alfredo Mendez, Christoph Möbius, K. Rybina, Veronika Thost, Anni-Yasmin Turhan
For service management systems the early recognition of situations that necessitate a rebinding or a migration of services is an important task. To describe these situations on differing levels of detail and to allow their recognition even if only incomplete information is available, we employ the ontology language OWL 2 and the reasoning services defined for it. In this paper we provide a case study on the performance of state of the art OWL 2 reasoning systems for answering class queries and conjunctive queries modeling the relevant situations for service rebinding or migration in the differing OWL 2 profiles.
{"title":"Situation recognition for service management systems using OWL 2 reasoners","authors":"W. Dargie, Eldora, Julian Alfredo Mendez, Christoph Möbius, K. Rybina, Veronika Thost, Anni-Yasmin Turhan","doi":"10.1109/PerComW.2013.6529452","DOIUrl":"https://doi.org/10.1109/PerComW.2013.6529452","url":null,"abstract":"For service management systems the early recognition of situations that necessitate a rebinding or a migration of services is an important task. To describe these situations on differing levels of detail and to allow their recognition even if only incomplete information is available, we employ the ontology language OWL 2 and the reasoning services defined for it. In this paper we provide a case study on the performance of state of the art OWL 2 reasoning systems for answering class queries and conjunctive queries modeling the relevant situations for service rebinding or migration in the differing OWL 2 profiles.","PeriodicalId":101502,"journal":{"name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"2003 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125785946","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}
Pub Date : 2013-03-18DOI: 10.1109/PerComW.2013.6529453
John Fong, J. Indulska, R. Robinson
Adaptations of context-aware applications do not always result in behaviours that users expect, due to imperfect sensing of context information and variability in human preferences, etc. This can negatively impact the user experience of applications and compromise the trust users have in them. In order to gain user acceptance it is critical for applications to support intelligibility, so they are capable of justifying their adaptive actions and explaining the decision process of adaptations to their users. Based on these intelligible explanations, users should be able to modify application settings/thresholds to correct any undesirable behaviour. This paper presents a model-based developmental framework that supports intelligibility and user control of context-aware applications. It identifies and exposes the internal middleware models which influence adaptation decisions, and facilitates generations of explanations regarding evaluations of the models. These middleware models include preference models defined using Defeasible Logic, situation abstractions specified using Hidden Markov Models and First Order Logic, and context models developed using Context Modelling Language. The framework also takes into account users' expertise in technology when providing explanations and control to application behaviours.
{"title":"A framework to support intelligibility in pervasive applications","authors":"John Fong, J. Indulska, R. Robinson","doi":"10.1109/PerComW.2013.6529453","DOIUrl":"https://doi.org/10.1109/PerComW.2013.6529453","url":null,"abstract":"Adaptations of context-aware applications do not always result in behaviours that users expect, due to imperfect sensing of context information and variability in human preferences, etc. This can negatively impact the user experience of applications and compromise the trust users have in them. In order to gain user acceptance it is critical for applications to support intelligibility, so they are capable of justifying their adaptive actions and explaining the decision process of adaptations to their users. Based on these intelligible explanations, users should be able to modify application settings/thresholds to correct any undesirable behaviour. This paper presents a model-based developmental framework that supports intelligibility and user control of context-aware applications. It identifies and exposes the internal middleware models which influence adaptation decisions, and facilitates generations of explanations regarding evaluations of the models. These middleware models include preference models defined using Defeasible Logic, situation abstractions specified using Hidden Markov Models and First Order Logic, and context models developed using Context Modelling Language. The framework also takes into account users' expertise in technology when providing explanations and control to application behaviours.","PeriodicalId":101502,"journal":{"name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"2 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124659187","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}
Pub Date : 2013-03-18DOI: 10.1109/PerComW.2013.6529492
A. Panisson, L. Gauvin, A. Barrat, C. Cattuto
Mobile devices and wearable sensors are making available records of human mobility and proximity with unprecedented levels of detail. Here we focus on close-range human proximity networks measured by means of wireless wearable sensors in a variety of real-world environments. We show that simple dynamical processes computed over the time-varying proximity networks can uncover important features of the interaction patterns that go beyond standard statistical indicators of heterogeneity and burstiness, and can tell apart datasets that would otherwise look statistically similar. We show that, due to the intrinsic temporal heterogeneity of human dynamics, the characterization of spreading processes over time-varying networks of human contact may benefit from abandoning the notion of wall-clock time in favor of a node-specific notion of time based on the contact activity of individual nodes.
{"title":"Fingerprinting temporal networks of close-range human proximity","authors":"A. Panisson, L. Gauvin, A. Barrat, C. Cattuto","doi":"10.1109/PerComW.2013.6529492","DOIUrl":"https://doi.org/10.1109/PerComW.2013.6529492","url":null,"abstract":"Mobile devices and wearable sensors are making available records of human mobility and proximity with unprecedented levels of detail. Here we focus on close-range human proximity networks measured by means of wireless wearable sensors in a variety of real-world environments. We show that simple dynamical processes computed over the time-varying proximity networks can uncover important features of the interaction patterns that go beyond standard statistical indicators of heterogeneity and burstiness, and can tell apart datasets that would otherwise look statistically similar. We show that, due to the intrinsic temporal heterogeneity of human dynamics, the characterization of spreading processes over time-varying networks of human contact may benefit from abandoning the notion of wall-clock time in favor of a node-specific notion of time based on the contact activity of individual nodes.","PeriodicalId":101502,"journal":{"name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129465116","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}
Large proliferation of mobile phone applications result in extensive use of data intensive services such as multimedia download and social network communication. With limited penetration of 3G/4G networks in developing countries, it is common to use low bandwidth 2G services for data communication, resulting in larger download time and correspondingly high power consumption. In this paper, we present a system architecture, Unity, that enables collaborative downloading across co-located peers. Unity uses short range radio interfaces such as Bluetooth/WiFi for local coordination, while the actual content is downloaded using a cellular connection. Unity is designed to support mobile phones with diverse capabilities. End-to-end implementation and evaluation of Unity on Android based phones, with varying workload sizes and number of peers, show that Unity can result in multifold increase in download rate for the co-located peers. We also describe architecture of cloud-based Unity which uses principles of mobility prediction, social interactions, and opportunistic networking to make collaboration more pervasive and useful.
{"title":"Unity: Collaborative downloading content using co-located socially connected peers","authors":"P. Jassal, Kuldeep Yadav, Abhishek Kumar, Vinayak Naik, Vishesh Narwal, Amarjeet Singh","doi":"10.1109/PerComW.2013.6529458","DOIUrl":"https://doi.org/10.1109/PerComW.2013.6529458","url":null,"abstract":"Large proliferation of mobile phone applications result in extensive use of data intensive services such as multimedia download and social network communication. With limited penetration of 3G/4G networks in developing countries, it is common to use low bandwidth 2G services for data communication, resulting in larger download time and correspondingly high power consumption. In this paper, we present a system architecture, Unity, that enables collaborative downloading across co-located peers. Unity uses short range radio interfaces such as Bluetooth/WiFi for local coordination, while the actual content is downloaded using a cellular connection. Unity is designed to support mobile phones with diverse capabilities. End-to-end implementation and evaluation of Unity on Android based phones, with varying workload sizes and number of peers, show that Unity can result in multifold increase in download rate for the co-located peers. We also describe architecture of cloud-based Unity which uses principles of mobility prediction, social interactions, and opportunistic networking to make collaboration more pervasive and useful.","PeriodicalId":101502,"journal":{"name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129788760","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}
Pub Date : 2013-03-18DOI: 10.1109/PerComW.2013.6529544
Anthony Etuk, T. Norman, C. Bisdikian, M. Srivatsa
Pervasive information consumers in open, loosely-coupled systems, such as in Internet of Things and crowd-sensing environment, will rely more and more often on streaming information from sensory sources with whom they have only ephemeral, transient relationships. In such settings, information uncertainties arise as the trustworthiness of the sources and their information become questionable. It is thus necessary to quantify the quality of inferences made with such information to aid more informed and effective decision making and action taking. One of the aspects of trust assessment systems is to provide for such quality metrics, however, these systems have been traditionally applied in static situations. In this paper, we introduce TAF, a trust assessment framework for streaming information that leverages the rich toolkit of subjective logic operators to estimate the quality of said inferences under information uncertainty. We present the system architecture, describe its components and provide some preliminary quality results for the framework.
{"title":"TAF: A trust assessment framework for inferencing with uncertain streaming information","authors":"Anthony Etuk, T. Norman, C. Bisdikian, M. Srivatsa","doi":"10.1109/PerComW.2013.6529544","DOIUrl":"https://doi.org/10.1109/PerComW.2013.6529544","url":null,"abstract":"Pervasive information consumers in open, loosely-coupled systems, such as in Internet of Things and crowd-sensing environment, will rely more and more often on streaming information from sensory sources with whom they have only ephemeral, transient relationships. In such settings, information uncertainties arise as the trustworthiness of the sources and their information become questionable. It is thus necessary to quantify the quality of inferences made with such information to aid more informed and effective decision making and action taking. One of the aspects of trust assessment systems is to provide for such quality metrics, however, these systems have been traditionally applied in static situations. In this paper, we introduce TAF, a trust assessment framework for streaming information that leverages the rich toolkit of subjective logic operators to estimate the quality of said inferences under information uncertainty. We present the system architecture, describe its components and provide some preliminary quality results for the framework.","PeriodicalId":101502,"journal":{"name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125677592","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}
Pub Date : 2013-03-18DOI: 10.1109/PerComW.2013.6529567
Christopher Mutschler, M. Philippsen
Runtime migration has been widely adopted to achieve several tasks such as load balancing, performance optimization, and fault-tolerance. However, existing migration techniques do not work for event detectors in distributed publish/subscribe systems that are used to analyze sensor data. Since low-latency time-constraints are no longer valid they reorder streams incorrectly and cause erroneous event detector states. This paper presents a safe runtime migration of stateful event detectors that respects low-latency time-constraints and seamlessly orders input events correctly on the migrated host. Event streams are only forwarded until timing delays are properly calibrated, the migrated event detector immediately stops processing after its state is transferred, and the processing overhead is negligible. On a Realtime Locating System (RTLS) we show that we can efficiently migrate event detectors at runtime between servers where other techniques would fail.
{"title":"Runtime migration of stateful event detectors with low-latency ordering constraints","authors":"Christopher Mutschler, M. Philippsen","doi":"10.1109/PerComW.2013.6529567","DOIUrl":"https://doi.org/10.1109/PerComW.2013.6529567","url":null,"abstract":"Runtime migration has been widely adopted to achieve several tasks such as load balancing, performance optimization, and fault-tolerance. However, existing migration techniques do not work for event detectors in distributed publish/subscribe systems that are used to analyze sensor data. Since low-latency time-constraints are no longer valid they reorder streams incorrectly and cause erroneous event detector states. This paper presents a safe runtime migration of stateful event detectors that respects low-latency time-constraints and seamlessly orders input events correctly on the migrated host. Event streams are only forwarded until timing delays are properly calibrated, the migrated event detector immediately stops processing after its state is transferred, and the processing overhead is negligible. On a Realtime Locating System (RTLS) we show that we can efficiently migrate event detectors at runtime between servers where other techniques would fail.","PeriodicalId":101502,"journal":{"name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132505348","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}
Pub Date : 2013-03-18DOI: 10.1109/PerComW.2013.6529577
Lukas Ruge, Bashar Altakrouri, Andreas Schrader
Noise pollution is among the leading causes for illness among urban residents. It constitutes a major cause for stress and poor sleep, it reduces life quality while increasing the risk for hypertension, hearing loss and lower cognitive performance. In light of those risks, the European Union mandates the creation of noise contour maps to gather information about the exposure. Those maps however often lack enough granularity to cover all areas of the city and omit large areas from the map. Hence, the public benefit from the provided information remains limited. We present SoundOfTheCity, a project with which we endeavour to put noise measurement into the hand of the citizen. To that end we developed a smart phone application that allows the users to continuously measure the loudness of their environment. The measured data are anonymised and send to a central server where all generated information from voluntary participants on a city scale are aggregated and mapped to a meaningful noise visualisation map. Moreover, the application allows for uploading sound samples, captured from the environment, as well as providing each user with information on their personal exposure to noise. Extrapolating from the current state of such participatory ambient pollution monitoring for health, we propose several questions on the future of such applications. We discuss how such systems may utilize more then just information on the distribution of pollutants, to make health monitoring more relatable to the monitored community.
{"title":"SoundOfTheCity - Continuous noise monitoring for a healthy city","authors":"Lukas Ruge, Bashar Altakrouri, Andreas Schrader","doi":"10.1109/PerComW.2013.6529577","DOIUrl":"https://doi.org/10.1109/PerComW.2013.6529577","url":null,"abstract":"Noise pollution is among the leading causes for illness among urban residents. It constitutes a major cause for stress and poor sleep, it reduces life quality while increasing the risk for hypertension, hearing loss and lower cognitive performance. In light of those risks, the European Union mandates the creation of noise contour maps to gather information about the exposure. Those maps however often lack enough granularity to cover all areas of the city and omit large areas from the map. Hence, the public benefit from the provided information remains limited. We present SoundOfTheCity, a project with which we endeavour to put noise measurement into the hand of the citizen. To that end we developed a smart phone application that allows the users to continuously measure the loudness of their environment. The measured data are anonymised and send to a central server where all generated information from voluntary participants on a city scale are aggregated and mapped to a meaningful noise visualisation map. Moreover, the application allows for uploading sound samples, captured from the environment, as well as providing each user with information on their personal exposure to noise. Extrapolating from the current state of such participatory ambient pollution monitoring for health, we propose several questions on the future of such applications. We discuss how such systems may utilize more then just information on the distribution of pollutants, to make health monitoring more relatable to the monitored community.","PeriodicalId":101502,"journal":{"name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128760219","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}
Pub Date : 2013-03-18DOI: 10.1109/PerComW.2013.6529490
E. Gregori, L. Lenzini, Valerio Luconi, Alessio Vecchio
Portolan is a crowdsourcing-based system aimed at building an annotated graph of the Internet: the smartphones of participating volunteers are used as mobile monitors to collect measures about the network that surrounds them, then results are conveyed on a central server where they are aggregated. Thus, differently from all the other Internet monitoring systems, which are based on fixed infrastructure, Portolan rely on a multitude of mobile sensing nodes. While this paves the way to the opportunity of having detailed and geo-referenced measures, the design of the systems has to take into account additional difficulties such as scalability, coordination and smartphones' reachability. Besides describing the Portolan's architecture, this paper also shows some preliminary results that confirm the validity of the proposed approach.
{"title":"Sensing the Internet through crowdsourcing","authors":"E. Gregori, L. Lenzini, Valerio Luconi, Alessio Vecchio","doi":"10.1109/PerComW.2013.6529490","DOIUrl":"https://doi.org/10.1109/PerComW.2013.6529490","url":null,"abstract":"Portolan is a crowdsourcing-based system aimed at building an annotated graph of the Internet: the smartphones of participating volunteers are used as mobile monitors to collect measures about the network that surrounds them, then results are conveyed on a central server where they are aggregated. Thus, differently from all the other Internet monitoring systems, which are based on fixed infrastructure, Portolan rely on a multitude of mobile sensing nodes. While this paves the way to the opportunity of having detailed and geo-referenced measures, the design of the systems has to take into account additional difficulties such as scalability, coordination and smartphones' reachability. Besides describing the Portolan's architecture, this paper also shows some preliminary results that confirm the validity of the proposed approach.","PeriodicalId":101502,"journal":{"name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125598160","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}
Pub Date : 2013-03-18DOI: 10.1109/PerComW.2013.6529561
F. Pellegrini, R. Riggio
In future smart cities a grand challenge will be to sensorize large urban infrastructures at a feasible cost. In this paper we tackle the case of efficient leakage detection in water distribution systems. Deploying leakage detectors can cut operational costs for water utility providers. But, the cost for deploying them with sufficient granularity poses an high entrance barrier due to the scale of such infrastructures. We propose an algorithmic framework to efficiently deploy sensors in order to perform leakage/fault localization over large scale lattice-shaped networks. The novelty of our solution, combining covering sets and identifying codes is that it initially covers the network with low resolution, and thus fewer sensors. The set of sensors can then be extended in a way to progressively improve the resolution by which leakages are located. The proposed solution is validated through extensive numerical experiments.
{"title":"Leakage detection in waterpipes networks using acoustic sensors and identifying codes","authors":"F. Pellegrini, R. Riggio","doi":"10.1109/PerComW.2013.6529561","DOIUrl":"https://doi.org/10.1109/PerComW.2013.6529561","url":null,"abstract":"In future smart cities a grand challenge will be to sensorize large urban infrastructures at a feasible cost. In this paper we tackle the case of efficient leakage detection in water distribution systems. Deploying leakage detectors can cut operational costs for water utility providers. But, the cost for deploying them with sufficient granularity poses an high entrance barrier due to the scale of such infrastructures. We propose an algorithmic framework to efficiently deploy sensors in order to perform leakage/fault localization over large scale lattice-shaped networks. The novelty of our solution, combining covering sets and identifying codes is that it initially covers the network with low resolution, and thus fewer sensors. The set of sensors can then be extended in a way to progressively improve the resolution by which leakages are located. The proposed solution is validated through extensive numerical experiments.","PeriodicalId":101502,"journal":{"name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125598924","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}
Pub Date : 2013-03-18DOI: 10.1109/PerComW.2013.6529456
Nils Koppaetzky, D. Nicklas
With the effort to increase renewable energy production, offshore wind power plants become increasingly important. Thus, there is a growing necessity to carry out offshore operations like construction or maintenance of wind power plants. Offshore operations are complex, risky, and therefore prone to accidents. A context aware assistance system might help to increase the safety during these operations. It could observe the status of safety relevant entities with sensors and support crews by displaying status information and triggering warnings in occurrence of critical situations. As the safety relevant entities and the critical situations depend on the executed operation, the assistance system needs to be based on a dynamic and flexible context model. This paper introduces an approach to design an easy adaptable, extendable and deployable context model for an offshore operation assistance system.
{"title":"Towards a model-based approach for context-aware assistance systems in offshore operations","authors":"Nils Koppaetzky, D. Nicklas","doi":"10.1109/PerComW.2013.6529456","DOIUrl":"https://doi.org/10.1109/PerComW.2013.6529456","url":null,"abstract":"With the effort to increase renewable energy production, offshore wind power plants become increasingly important. Thus, there is a growing necessity to carry out offshore operations like construction or maintenance of wind power plants. Offshore operations are complex, risky, and therefore prone to accidents. A context aware assistance system might help to increase the safety during these operations. It could observe the status of safety relevant entities with sensors and support crews by displaying status information and triggering warnings in occurrence of critical situations. As the safety relevant entities and the critical situations depend on the executed operation, the assistance system needs to be based on a dynamic and flexible context model. This paper introduces an approach to design an easy adaptable, extendable and deployable context model for an offshore operation assistance system.","PeriodicalId":101502,"journal":{"name":"2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123649740","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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