Toward Sensor-Based Context Aware Systems

Sakurai, Yoshitaka; Takada, Kouhei; Anisetti, Marco; Bellandi, Valerio; Ceravolo, Paolo; Damiani, Ernesto; Tsuruta, Setsuo

doi:10.3390/s120100632

Cited by 18 publications

(8 citation statements)

References 33 publications

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“…In the case where frequent multicasting for decreasing the latency in the network is desired but not possible, the multicasting model might result in the increase rather than decrease in the required bandwidth [42]. 4) Queues: The first-in, first-out queues, is a model that allows one or more entities to post the messages or tasks into a queue, and then lets one or more receivers receive the messages in an ordered fashion.…”

Section: Communication Models For Microgridsmentioning

confidence: 99%

A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks

Alavi

Mehran

Hao

et al. 2019

IEEE Trans. Smart Grid

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This paper presents a complete design, analysis, and performance evaluation of a novel distributed event-triggered control and estimation strategy for DC microgrids. The primary objective of this work is to efficiently stabilize the grid voltage, and to further balance the energy level of the energy storage (ES) systems. The locally-installed distributed controllers are utilised to reduce the number of transmitted packets and battery usage of the installed sensors, based on a proposed event-triggered communication scheme. Also, to reduce the network traffic, an optimal observer is employed which utilizes a modified Kalman consensus filter (KCF) to estimate the state of the DC microgrid via the distributed sensors. Furthermore, in order to effectively provide an intelligent data exchange mechanism for the proposed event-triggered controller, the publish-subscribe communication model is employed to setup a distributed control infrastructure in industrial wireless sensor networks (WSNs). The performance of the proposed control and estimation strategy is validated via the simulations of a DC microgrid composed of renewable energy sources (RESs). The results confirm the appropriateness of the implemented strategy for the optimal utilization of the advanced industrial network architectures in the smart grids.

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Section: Communication Models For Microgridsmentioning

confidence: 99%

A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks

Alavi

Mehran

Hao

et al. 2019

IEEE Trans. Smart Grid

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“…Users' behaviour can also be collected through mobile devices such as smart phones that have built-in sensors [16]. Sensor devices deliver data relevant to healthcare, homeland security and tactical training that help to identify and handle situations on real-time [17]. In [18] the authors state that “to progress towards a full harmonization between HMI systems and Sensor Web advances are needed in two fundamental areas: the integration and accessibility of a growing number of heterogeneous sensor data into HMI systems, and new mechanisms that allow sharing real-world information provided by users of connected objects into the Sensor Web or the Semantic Sensor Web”.…”

Section: Ubiquitous User Modeling Stakeholdersmentioning

confidence: 99%

Towards a Ubiquitous User Model for Profile Sharing and Reuse

Martínez-Villaseñor

González-Mendoza

Hernández-Gress

2012

Sensors

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People interact with systems and applications through several devices and are willing to share information about preferences, interests and characteristics. Social networking profiles, data from advanced sensors attached to personal gadgets, and semantic web technologies such as FOAF and microformats are valuable sources of personal information that could provide a fair understanding of the user, but profile information is scattered over different user models. Some researchers in the ubiquitous user modeling community envision the need to share user model's information from heterogeneous sources. In this paper, we address the syntactic and semantic heterogeneity of user models in order to enable user modeling interoperability. We present a dynamic user profile structure based in Simple Knowledge Organization for the Web (SKOS) to provide knowledge representation for ubiquitous user model. We propose a two-tier matching strategy for concept schemas alignment to enable user modeling interoperability. Our proposal is proved in the application scenario of sharing and reusing data in order to deal with overweight and obesity.

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“…Several context models and context-aware systems are proposed in the literature [10,14,19,23,24]. Strang and Linnhoff-Popien [25] survey existing context models and classify them into different types based on the data structures.…”

Section: Context Modeling and Context-aware Systemsmentioning

confidence: 99%

“…Ontologies are the most expressive model that can fulfill most of the requirements. Sakurai et al [23] propose a methodology to interpret and combine sensor outputs with contexts as sets of annotated business rules. Chen and Kotz [14] investigate the research on contextaware mobile computing.…”

Section: Context Modeling and Context-aware Systemsmentioning

confidence: 99%

An Approach for Service Discovery and Recommendation Using Contexts

Xiao

Zou

2013

Web Services Foundations

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Given the large amount of existing Web services nowadays, it is time-consuming for users to find appropriate Web services to satisfy their diversity requirements. Context-aware techniques provide a promising way to help users obtain their desired services by automatically analyzing a user's context and recommending services for the user. Most existing context-aware techniques require system designers to manually define reactions to contexts based on context types (e.g., location) and context values (e.g., Toronto). Those context-aware techniques have limited support for dynamic adaptation to new context types and values. Due to the diversity of user's environments, the available context types and potential context values are changing overtime. It is challenging to anticipate a complete set of context types with various potential context values to provide corresponding reactions. In this chapter, we present an approach which analyzes dynamic changing context types and values, and formulates search criteria to discover desired services for users. More specifically, we use ontologies to enhance the meaning of a user's context values and automatically identify the relations among different context values. Based on the relations among context values, we infer the potential tasks that a user might be interested in, then recommend related services. A case study is conducted to evaluate the effectiveness of our approach. The results show that our approach can use contexts to automatically detect a user's requirements in given context scenarios and recommend desired services with high precision and recall.

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Toward Sensor-Based Context Aware Systems

Cited by 18 publications

References 33 publications

A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks

A Distributed Event-Triggered Control Strategy for DC Microgrids Based on Publish-Subscribe Model Over Industrial Wireless Sensor Networks

Towards a Ubiquitous User Model for Profile Sharing and Reuse

An Approach for Service Discovery and Recommendation Using Contexts

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