| 1. |
- Haghighi, Pari Delir, et al.
(författare)
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An evaluation of query languages for context-aware computing
- 2006
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Ingår i: Proceedings. - Los Alamitos, Calif : IEEE Communications Society. - 0769526411 ; , s. 455-462
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Konferensbidrag (refereegranskat)abstract
- Context-awareness highly depends on easy and prompt access to the right information and this needs overcoming challenges of query expression and processing of context information. One of the main considerations in querying context is selecting and applying an appropriate and expressive query language for defining user's context needs. This paper presents an overview of current languages used for querying context and investigates their strengths and limitations in expressing different aspects of context.
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| 2. |
- Haghighi, Pari Delir, et al.
(författare)
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Context-aware adaptive data stream mining
- 2009
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Ingår i: Intelligent Data Analysis. - 1088-467X .- 1571-4128. ; 13:3, s. 423-434
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Tidskriftsartikel (refereegranskat)abstract
- In resource-constrained devices, adaptation of data stream processing to variations of data rates and availability of resources is crucial for consistency and continuity of running applications. However, to enhance and maximize the benefits of adaptation, there is a need to go beyond mere computational and device capabilities to encompass the full spectrum of context-awareness. This paper presents a general approach for context-aware adaptive mining of data streams that aims to dynamically and autonomously adjust data stream mining parameters according to changes in context and situations. We perform intelligent and real-time analysis of data streams generated from sensors that is under-pinned using context-aware adaptation. A prototype of the proposed architecture is implemented and evaluated in the paper through a real-world scenario in the area of healthcare monitoring.
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| 3. |
- Haghighi, Pari Delir, et al.
(författare)
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Mobile data mining for intelligent healthcare support
- 2009
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Ingår i: 2009 42nd Hawaii International Conference on System Sciences. - : IEEE Communications Society. - 9780769534503 ; , s. 1-10
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Konferensbidrag (refereegranskat)abstract
- The growth in numbers and capacity of mobile devices such as mobile phones coupled with widespread availability of inexpensive range of biosensors presents an unprecedented opportunity for mobile healthcare applications. In this paper we propose a novel approach for Situation-Aware Adaptive Processing (SAAP) of data streams for smart and real-time analysis of data. The implementation and evaluation of the framework for a health monitoring application is described.
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| 4. |
- Haghighi, Pari Delir, et al.
(författare)
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Reasoning about Context in Uncertain Pervasive Computing Environments
- 2008
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Ingår i: Smart sensing and context. - Berlin, Heidelberg : Encyclopedia of Global Archaeology/Springer Verlag. - 9783540887928 ; , s. 112-125
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Konferensbidrag (refereegranskat)abstract
- Context-awareness is a key to enabling intelligent adaptation in pervasive computing applications that need to cope with dynamic and uncertain environments. Addressing uncertainty is one of the major issues in context-based situation modeling and reasoning approaches. Uncertainty can be caused by inaccuracy, ambiguity or incompleteness of sensed context. However, there is another aspect of uncertainty that is associated with human concepts and real-world situations. In this paper we propose and validate a Fuzzy Situation Inference (FSI) technique that is able to represent uncertain situations and reflect delta changes of context in the situation inference results. The FSI model integrates fuzzy logic principles into the Context Spaces (CS) model, a formal and general context reasoning and modeling technique for pervasive computing environments. The strengths of fuzzy logic for modeling and reasoning of imperfect context and vague situations are combined with the CS model's underlying theoretical basis for supporting context-aware pervasive computing scenarios. An implementation and evaluation of the FSI model are presented to highlight the benefits of the FSI technique for context reasoning under uncertainty
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| 5. |
- Haghighi, Pari Delir, et al.
(författare)
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Situation-aware adaptive processing (SAAP) of data streams : Chapter 14
- 2009
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Ingår i: Pervasive Computing. - London : Encyclopedia of Global Archaeology/Springer Verlag. - 9781848825987 - 9781848825994 ; , s. 313-338
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- The growth and proliferation of technologies in the field of sensor networking and mobile computing have led to the emergence of diverse applications that process and analyze sensory data on mobile devices such as a smart phone. However, the real power to make a significant impact on the area of developing these applications rests not merely on deploying the technologies, but on the ability to perform real-time, intelligent analysis of the data streams that are generated by the various sensors. In this chapter, we present a novel approach for Situation-Aware Adaptive Processing (SAAP) of data streams for pervasive computing environments. This approach uses fuzzy logic principles for modelling and reasoning about uncertain situations, and performs gradual adaptation of parameters of data stream mining algorithms in real-time according to availability of resources and the occurring situations.
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| 6. |
- Haghighi, Pari Delir, et al.
(författare)
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Situation-aware adaptive visualization for sensory data stream mining
- 2010
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Ingår i: Knowledge discovery from sensor data. - Berlin : Encyclopedia of Global Archaeology/Springer Verlag. - 9783642125188 ; , s. 43-58
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Konferensbidrag (refereegranskat)abstract
- With the emergence of ubiquitous data mining and recent advances in mobile communications, there is a need for visualization techniques to enhance the user-interactions, real-time decision making and comprehension of the results of mining algorithms. In this paper we propose a novel architecture for situation-aware adaptive visualization that applies intelligent visualization techniques to data stream mining of sensory data. The proposed architecture incorporates fuzzy logic principles for modeling and reasoning about context/situations and performs gradual adaptation of data mining and visualization parameters according to the occurring situations. A prototype of the architecture is implemented and described in the paper through a real-world scenario in the area of healthcare monitoring
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| 7. |
- Haghighi, Pari Delir, et al.
(författare)
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The role of domain ontology for medical emergency management in mass gatherings
- 2010
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Ingår i: Bridging the Socio-technical Gap in Decision Support Systems. - Amsterdam : IOS Press. - 9781607505761 ; , s. 520-531
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Bokkapitel (refereegranskat)abstract
- Mass gatherings are common events that typically attract large crowds of people. If such events are not properly planned, coordinated and managed with regard to health and safety issues, they can become hazardous and lead to injuries, illnesses and deaths. Conducting a safe and successful mass gathering event requires effective planning and management including the provision of timely medical care and response. To achieve these goals, there is a need for a unifying and formal model/framework of mass gatherings that can be applied across all the emergency agencies and events, and used in support of time-critical decision making for medical emergency management in this context. However, the absence of a common knowledge structure and conceptual model in Medical Emergency Management in Mass Gathering (MEMMG), acknowledged in the literature, limits our understanding of such events and impedes the effectiveness of decision support systems in these environments. In this paper, we propose domain ontology for MEMMG that represents main concepts of mass gatherings and their characteristics and relationships in a standard and formal manner. The proposed domain ontology is an instantiation and extension of DOEM (Domain Ontology for Emergency Management) that represents major generic concepts in the emergency management and can be used as information structure for the development of various emergency management decision support systems. We illustrate application of such an ontology to the classical Intelligence-Design-Choice-Implementation decision support model
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