Regardless of complex, unknown, and dynamically-changing environments, living creatures can recognize situated environments and behave adaptively by theirselves in real-time. However it is impossible to prepare optima...
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Regardless of complex, unknown, and dynamically-changing environments, living creatures can recognize situated environments and behave adaptively by theirselves in real-time. However it is impossible to prepare optimal motion trajectories with respect to every possible situations in advance. The key concept for realizing suitable environmental cognition and motor adaptation is a context-based elicitation of constraints which are canalizing well-suited sensorimotor coordination. For this aim, in this study, we propose a polymorphic neural networks model called CTRNN+NM (CTRNN with neuromodulatory bias). The proposed model is applied to two dimensional arm-reaching movement control in various viscous curl force fields. The model parameters were optimized by GA. Simulation results reveal that the proposed model inherits high robustness even though it is situated in unexperienced environment, which has same curl but different size of viscous force, since it evolved "how to adapt" instead of "how to move.".
Most traditional Information Retrieval (IR) systems, including web search engines, operationalize "relevant" as the word frequency in a document of a set of keywords. Because of this limitation, traditional ...
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Most traditional Information Retrieval (IR) systems, including web search engines, operationalize "relevant" as the word frequency in a document of a set of keywords. Because of this limitation, traditional IR systems frequently retrieve irrelevant documents in response to a user’s request. In this paper, we propose a new criterion, "generality," that provides an additional basis on which to rank retrieved documents. The generality is a level of abstraction to retrieve results based on desired generality appropriate for a user’s knowledge and interests. We compared our generality quantification algorithm with human judges’ weighting of values to show that the developed algorithm is significantly correlated.
In this paper, we present a novel multi-objective evolutionary clustering approach using variable-length real jumping genes genetic algorithms (VRJGGA). The proposed algorithm that extends jumping genes genetic algori...
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ISBN:
(纸本)0769525210
In this paper, we present a novel multi-objective evolutionary clustering approach using variable-length real jumping genes genetic algorithms (VRJGGA). The proposed algorithm that extends jumping genes genetic algorithm (JGGA) (Man et al., 2004) evolves near-optimal clustering solutions using multiple clustering criteria, without a-priori knowledge of the actual number of clusters. Experimental results based on several artificial and real-world data show that VRJGGA can obtain non-dominated and near-optimal clustering solutions in terms of different cluster quality measures and classification performance
Data replication is one of the key components in data grid architecture as it enhances data access and reliability and minimises the cost of data transmission. In this paper, we address the problem of reducing the ove...
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ISBN:
(纸本)9781424430116
Data replication is one of the key components in data grid architecture as it enhances data access and reliability and minimises the cost of data transmission. In this paper, we address the problem of reducing the overheads of the replication mechanisms that drive the data management components of a data grid. We propose an approach that extends the resource broker with policies that factor in user quality of service as well as service costs when replicating and transferring data. A realistic model of the data grid was created to simulate and explore the performance of the proposed policy. The policy displayed an effective means of improving the performance of the grid network traffic and is indicated by the improvement of speed and cost of transfers by brokers.
Based on QoS framework-SWAN, A gateway-centric adaptive QoS-aware multipath routing protocol (GC-AQMR) is presented. It can ensure that each mobile node has a set of link-disjoint and loop-free routing to the gateway....
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Based on QoS framework-SWAN, A gateway-centric adaptive QoS-aware multipath routing protocol (GC-AQMR) is presented. It can ensure that each mobile node has a set of link-disjoint and loop-free routing to the gateway. Moreover, the intermediate node in the path also has the multipath information to the gateway. When the intermediate node experiences the congestion or link-break, it can switch adaptively to an alternate path with the additional path information. Simulations have shown that the SWAN system adopting GC-AQMR outperforms the SWAN with AODV protocol on all the performance metrics: Packet delivery ratio, average end-to-end delay/throughput and the fairness among real-time flows.
The paper recasts the problem of feature location in source code as a decision-making problem in the presence of uncertainty. The main contribution consists in the combination of two existing techniques for feature lo...
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The paper recasts the problem of feature location in source code as a decision-making problem in the presence of uncertainty. The main contribution consists in the combination of two existing techniques for feature location in source code. Both techniques provide a set of ranked facts from the software, as result to the feature identification problem. One of the techniques is based on a scenario based probabilistic ranking of events observed while executing a program under given scenarios. The other technique is defined as an information retrieval task, based on the latent semantic indexing of the source code. We show the viability and effectiveness of the combined technique with two case studies. A first case study is a replication of feature identification in Mozilla, which allows us to directly compare the results with previously published data. The other case study is a bug location problem in Mozilla. The results show that the combined technique improves feature identification significantly with respect to each technique used independently
In this article, we describe a grid of sensors to collect patients' vital data and to allow real time monitoring of patients in heath-care centres. We analyse the problem scenario and identify the components invol...
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In this article, we describe a grid of sensors to collect patients' vital data and to allow real time monitoring of patients in heath-care centres. We analyse the problem scenario and identify the components involved towards the construction of an integrated and homogeneous management system. Finally, we present a case study to demonstrate the applicability of our approach
The cyclic difference sets constructed by Singer are also examples of perfect distinct difference sets (DDS). The Bose construction of distinct difference sets, leads to a relative difference set. In this paper we int...
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ISBN:
(纸本)142440505X
The cyclic difference sets constructed by Singer are also examples of perfect distinct difference sets (DDS). The Bose construction of distinct difference sets, leads to a relative difference set. In this paper we introduce the concept of partial relative DDS and prove that an optical orthogonal code (OOC) construction due to Moreno et. al., is a partial relative DDS. We generalize the concept of ideal matrices previously introduced by Kumar and relate it to the concepts of this paper. Another variation of ideal matrices is introduced in this paper: Welch ideal matrices of dimension n by (n - 1). We prove that Welch ideal matrices exist only for n prime. Finally, we recast an old conjecture of Golomb on the Welch construction of Costas arrays using the concepts of this paper. This connection suggests that our construction of partial relative difference sets is in a sense, unique
This paper addresses the need of semantic component in the grid environment to discover and describe the grid resources semantically. We propose semantic grid architecture by introducing a knowledge layer at the top o...
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This paper addresses the need of semantic component in the grid environment to discover and describe the grid resources semantically. We propose semantic grid architecture by introducing a knowledge layer at the top of Gridbus broker architecture and thereby enabling broker to discover resources semantically. The semantic component in the knowledge layer enables semantic description of grid resources with the help of ontology template. The ontology template has been created using Protege-OWL editor for different types of computing resources in the grid environment. The Globus Toolkit's MDS is used to gather grid resource information and Protege-OWL libraries are used to dynamically create knowledge base of grid resources. Algernon inference engine is used for interacting with the knowledge base to discover suitable resources.
We propose an asymmetric key establishment protocol for decentralized sensor networks (DSN's). The protocol supports multiphase deployment i.e., the sensor nodes are deployed in the network in multiple groups, kno...
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We propose an asymmetric key establishment protocol for decentralized sensor networks (DSN's). The protocol supports multiphase deployment i.e., the sensor nodes are deployed in the network in multiple groups, known as "generations". After their deployment, the nodes of the first generation are engaged in a key establishment protocol, in order to establish secure communication channels with their neighbors. Then, each forthcoming generation initializes a new key establishment phase, which allows the new nodes to communicate with other nodes of their own generation as well as with the older nodes of the network. The protocol extends the hybrid scheme of Kotzanikolaou et al. By making the scheme of "P. Kotzanikolaou et al, Hybrid key establishment for multiphase self-organized sensor networks" fully asymmetric, the proposed protocol corrects a security weakness found in "P. Kotzanikolaou et al, Hybrid key establishment for multiphase self-organized sensor networks" while it does not induce further computation and communication costs.
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