The objective of our group was to exploit state-of-the-art information Retrieval methods for finding associations and dependencies between tags, capturing and representing differences in tagging behavior and vocabular...
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Topology control is one of the most elementary topics in wireless sensor networks. Typically, most of the research only considered the bidirectional communication and symmetric weighted communication model, while the ...
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ISBN:
(纸本)9781605581491
Topology control is one of the most elementary topics in wireless sensor networks. Typically, most of the research only considered the bidirectional communication and symmetric weighted communication model, while the real wireless world contains not only bidirectional but also unidirectional communication links and asymmetric weighted communication model. In this paper, we present two heuristics for the minimum power topology control problem on general model, i.e., given a set of sensors in the Euclidean plane and a transmission power threshold for each directed pair of sensors, to find a power assignment for each sensor to achieve a strong connectivity with minimum total transmission power. Extensive results in simulation evaluate the efficiency of the proposed algorithms. Copyright 2008 ACM.
Blogs, Wikis, and Social Bookmark Tools have rapidly emerged on the Web. The reasons for their immediate success are that people are happy to share information, and that these tools provide an infrastructure for doing...
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The execution of clinical guidelines and protocols (CGPs) is a challenging task in high-frequency domains such as Intensive Care Units. On the one hand, sophisticated temporal data abstraction is required to match the...
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Log-Polar transform is mentioned as one of the models of the central-fovea visual sensor in a creature sight. Up to now, in the field of image recognition, Log-Polar transform is known widely and is especially used we...
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Log-Polar transform is mentioned as one of the models of the central-fovea visual sensor in a creature sight. Up to now, in the field of image recognition, Log-Polar transform is known widely and is especially used well in recognition of face images. However, since it is the recognition method only to a scaling and a rotation, it mainly remains in application in a 2D space. In this paper, a new Log-Polar transform algorithm which can detect even affine transform parameters is proposed, and this algorithm is expand so that perspective transform invariant can be detected. By using this transform, the pattern recognition within 3D space is possible.
In clinical practice guidelines (CPGs) the medical information is stored in a narrative way. A large part of this information occurs in a negated form. The detection of negation in CPGs is an important task since it h...
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We present an approach for automated evolutionary design of the functionary of driving agent, able to operate a software model of fast running car. The objective of our work is to automatically discover a set of drivi...
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We present an approach for automated evolutionary design of the functionary of driving agent, able to operate a software model of fast running car. The objective of our work is to automatically discover a set of driving rules (if existent) that are general enough to be able to adequately control the car in all sections of predefined circuits. In order to evolve an agent with such capabilities, we propose an indirect, generative representation of the driving rules as algebraic functions of the features of the current surroundings of the car. These functions, when evaluated for the current surrounding of the car yield concrete values of the main attributes of the driving style (e.g., straight line velocity, turning velocity, etc.), applied by the agent in the currently negotiated section of the circuit. Experimental results verify both the very existence of the general driving rules and the ability of the employed genetic programming framework to automatically discover them. The evolved driving rules offer a favorable generality, in that a single rule can be successfully applied (i) not only for all the section of a particular circuit, but also (ii) for the sections in several a priori defined circuits featuring different characteristics.
Community Coordinated Multimedia (CCM) provides an extended and enhanced human experience by collaboratively consuming electronic and networked content and multimedia-intensive services. Community coordinated multimed...
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Community Coordinated Multimedia (CCM) provides an extended and enhanced human experience by collaboratively consuming electronic and networked content and multimedia-intensive services. Community coordinated multimedia vision raises the challenges of multimedia content creation, interpretation, exchange, and consumption over a large range of heterogeneous services, terminals and networks. The development of CCM metamodel plays a key role in tackling these challenges by enabling the transparent multimedia aggregation and exchange crossing communities. This paper aims to design and develop the CCM metamodel. A generic terminology for CCM metamodeling is developed. A extensive study on metamodeling activities and metamodeling methodologies is presented. A combined metamodeling approach is proposed for the CCM metamodel development. Experiences and results on the CCM metamodeling and CCM metamodel-driven content annotation prototype are elaborated.
This paper proposes a collaborative experience based travel recommendation service for Hakka culture. This service utilizes mobile devices as platform to share and purify the user's knowledge of Hakka culture. By ...
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This paper proposes a collaborative experience based travel recommendation service for Hakka culture. This service utilizes mobile devices as platform to share and purify the user's knowledge of Hakka culture. By applying TF-IDF conversion on tags that were extracted from users' experience and past knowledge, in this paper we argue that a better recommendation service can be provided compared to the traditional frequency based service. Possible AI approach for utilizing the TF-IDF data is also proposed to improve the service level by using online adaptive clustering algorithm without increasing the resource requirements.
Transforming a text-based clinical guideline in a computer-interpretable form is a time-consuming and demanding task due to the various users involved, who have different technical and medical background. In the past,...
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Transforming a text-based clinical guideline in a computer-interpretable form is a time-consuming and demanding task due to the various users involved, who have different technical and medical background. In the past, different guideline representation languages and supporting tools have been developed, however, these approaches seldom address the various users' demands and needs in the different steps of the guidelines' life cycle. Our approach is oriented on the guideline life-cycle and takes the requirements and the interactions of the various actors into account to formalize guidelines in a computer-interpretable guideline representation by using a semi-automatic way based on NLP techniques. We analyzed the guideline lifecycle and the roles of the actors to build such a model. This model is prototypical implemented and showed the usefulness and utility for the various users.
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