The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Victor C. M. Leung - One of the best experts on this subject based on the ideXlab platform.
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Code-Centric RFID System Based on Software Agent Intelligence
IEEE Intelligent Systems, 2010Co-Authors: Sergio González, Qian Zhang, Victor C. M. LeungAbstract:Radiofrequency identification (RFID) technology could play a vital role in future smart-environment applications. This code-centric RFID system uses Software-Agent based intelligence to achieve faster service responses.
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Software Agent based intelligence for code centric rfid systems
IEEE Intelligent Systems, 2010Co-Authors: Min Chen, Qian Zhang, Sergio Gonzalezvalenzuela, Victor C. M. LeungAbstract:Radio frequency identification (RFID) is a kind of electronic identification technology that is becoming widely deployed. Due to its intrinsic small size and low cost features, the RFID technology can be readily integrated into various systems for future smart environment applications, whereby vital information is retrieved by diverse types of communications networks. In order to launch a specific service in an existing RFID system, object identification is first performed to retrieve the corresponding service codes from a backend database. However, the critical gaps that may exist in the identification recognition and subsequent handover of service codes from a database to a service machine can make it challenging to offer a good quality of service. This paper introduces a Code-centric RFID System based on an Agent intelligence scheme that can potentially achieve faster service response. In this system, we replace traditional ID numbers with codes that indicate the service that the RFID tag bearer needs for improved system response.
Qian Zhang - One of the best experts on this subject based on the ideXlab platform.
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Code-Centric RFID System Based on Software Agent Intelligence
IEEE Intelligent Systems, 2010Co-Authors: Sergio González, Qian Zhang, Victor C. M. LeungAbstract:Radiofrequency identification (RFID) technology could play a vital role in future smart-environment applications. This code-centric RFID system uses Software-Agent based intelligence to achieve faster service responses.
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Software Agent based intelligence for code centric rfid systems
IEEE Intelligent Systems, 2010Co-Authors: Min Chen, Qian Zhang, Sergio Gonzalezvalenzuela, Victor C. M. LeungAbstract:Radio frequency identification (RFID) is a kind of electronic identification technology that is becoming widely deployed. Due to its intrinsic small size and low cost features, the RFID technology can be readily integrated into various systems for future smart environment applications, whereby vital information is retrieved by diverse types of communications networks. In order to launch a specific service in an existing RFID system, object identification is first performed to retrieve the corresponding service codes from a backend database. However, the critical gaps that may exist in the identification recognition and subsequent handover of service codes from a database to a service machine can make it challenging to offer a good quality of service. This paper introduces a Code-centric RFID System based on an Agent intelligence scheme that can potentially achieve faster service response. In this system, we replace traditional ID numbers with codes that indicate the service that the RFID tag bearer needs for improved system response.
Min Chen - One of the best experts on this subject based on the ideXlab platform.
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Towards smart city: M2M communications with Software Agent intelligence
Multimedia Tools and Applications, 2013Co-Authors: Minghua Chen, Min ChenAbstract:Recent advances in the fields of wireless technology have exhibited a strong potential and tendency on improving human life by means of ubiquitous communications devices that enable smart, distributed services. In fact, traditional human to human (H2H) communications are gradually falling behind the scale of necessity. Consequently, machine to machine (M2M) communications have surpassed H2H, thus drawing significant interest from industry and the research community recently. This paper first presents a four-layer architecture for internet of things (IoT). Based on this architecture, we employ the second generation RFID technology to propose a novel intelligent system for M2M communications.
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Software Agent based intelligence for code centric rfid systems
IEEE Intelligent Systems, 2010Co-Authors: Min Chen, Qian Zhang, Sergio Gonzalezvalenzuela, Victor C. M. LeungAbstract:Radio frequency identification (RFID) is a kind of electronic identification technology that is becoming widely deployed. Due to its intrinsic small size and low cost features, the RFID technology can be readily integrated into various systems for future smart environment applications, whereby vital information is retrieved by diverse types of communications networks. In order to launch a specific service in an existing RFID system, object identification is first performed to retrieve the corresponding service codes from a backend database. However, the critical gaps that may exist in the identification recognition and subsequent handover of service codes from a database to a service machine can make it challenging to offer a good quality of service. This paper introduces a Code-centric RFID System based on an Agent intelligence scheme that can potentially achieve faster service response. In this system, we replace traditional ID numbers with codes that indicate the service that the RFID tag bearer needs for improved system response.
Hofung Leung - One of the best experts on this subject based on the ideXlab platform.
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belief based stability in non transferable utility coalition formation
Pacific Rim International Conference on Multi-Agents, 2009Co-Authors: Chikong Chan, Hofung LeungAbstract:Coalition stability is an important concept in coalition formation. One common assumption in many stability criteria in non-transferable utility games is that the preference of each Agent is publicly known so that a coalition is said to be stable if there is no objections by any sub-group of Agents according to the publicly known preferences. However, in many applications including some Software Agent applications, this assumption is not true. Instead, Agents are modeled as individuals with private belief and decisions are made according to those beliefs instead of common knowledge. Such belief based architectures have impacts on the coalition's stability which is not reflected in the current stability criteria. In this paper, we extend the classic stability concept of the core by proposing a new belief based stability criterion which we labeled the belief-based core.
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stability of coalitions in belief based non transferable utility games
The Florida AI Research Society, 2008Co-Authors: Chikong Chan, Hofung LeungAbstract:Coalition stability is an important concept in coalition formation. One common assumption in many stability criteria in non-transferable utility games is that the preference of each Agent is publicly known, so that a coalition is said to be stable if there is no objections by any sub-group of Agents according to the publicly known preferences. However, in many applications including some Software Agent applications, this assumption is not realistic. Instead, intelligent Agents are modeled as individuals with private belief and decisions are made according to those beliefs instead of common knowledge. Such belief based Agents architectures have impacts on the coalition’s stability which are not reflected in the current stability criteria. In this paper, we extend the classic stability concept of the core by proposing a new belief based stability criterion which we labeled the belief-based core, and give examples to illustrate how the new concept can be used to provide both ex-ante and ex-post analysis of coalition formation mechanism.
Chunyan Miao - One of the best experts on this subject based on the ideXlab platform.
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transforming learning through Agent augmented virtual world
International Conference on Advanced Learning Technologies, 2008Co-Authors: Zhiqi Shen, Chorping Low, Chunyan MiaoAbstract:Recent years have seen new forms of immersive learning such as interactive storytelling in virtual learning environment. Intelligent Software Agents are able to provide a more attractive narrative and get the users more involved in the unfolding of the story line in the virtual world. However, designing and implementing a Software Agent or a multi-Agent system (MAS) for this purpose requires the developer to be highly skilled in Agent oriented Software engineering (AOSE) and a large investment in time and effort. This raises the hurdle to develop non-trivial Agent augmented interactive e-learning applications. Our research proposes a framework - the multi-Agent development environment (MADE) - to resolve this problem by abstracting the Agent implementation part into a reusable runtime environment so as to enable less technically inclined people (e.g. teachers) and developers with limited knowledge in AOSE to rapidly prototype a multi-Agent system to be incorporated into interactive learning applications.
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intelligent Software Agent design tool using goal net methodology
IEEE WIC ACM International Conference on Intelligent Agent Technology, 2007Co-Authors: Zhiqi Shen, Chunyan MiaoAbstract:Intelligent Agent is a fast emerging technology and has wide range of applications. Although there are several tools for Agent development, there is few design tool to assist the conversion from paper based Agent mental state design to effective representation of them in abstract data structures which can be used by the Agent management system to create intelligent Software Agents. This paper proposes the goal net designer which is an integrated development environment (IDE) for modeling Agent behavior based on goal net model, a goal orient methodology. It provides a way for the users to simplify the various stages of the design process and automatically generate design data which can be used by the multi- Agent development environment (MADE) to automatically create intelligent Agents. The system reduces the level of skills required for developing Agent augmented application to such an extent that users with little knowledge in intelligent Software Agent technology can easily add intelligent Agents into their applications and save time and cost involved in the development process.