Education to the public on green products has been widely carried out. Consumers who buy green products can be profiled by segmenting green consumers. In green marketing, consumer education on sustainable consumption ...
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This paper addresses the dynamic location management for personal communication service (PCS) networks with consideration of mobility patterns. The popular hexagonal cellular architecture is considered. In this paper,...
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With its origin in sociology, Social Network Analysis (SNA), quickly emerged and spread to other areas of research, including anthropology, biology, information science, organizational studies, political science, and ...
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Neurons related to pair-association memory have been found in the inferotemporal cortex of monkeys, but their activities do not accord with existing neural network models. The article describes a neural network model ...
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Neurons related to pair-association memory have been found in the inferotemporal cortex of monkeys, but their activities do not accord with existing neural network models. The article describes a neural network model consisting of excitatory-inhibitory cell pairs, which recalls paired patterns based on a gradual shift of the network state. It is demonstrated by computer simulations that this model agrees well with the observed neuronal activities.
This paper proposes a method to construct a subjective model for color impressions considering the reduction of human load. A model is constructed using the fuzzy rules expression in which the premise part shows color...
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This paper proposes a method to construct a subjective model for color impressions considering the reduction of human load. A model is constructed using the fuzzy rules expression in which the premise part shows color information and the consequent part shows emotional effects of color. Two kinds of questionnaire are carried out in order to obtain subjective information and a subjective model is constructed using them. The effectiveness of constructed subjective models is verified by the comparison with the objective model constructed by experts and with another subjective one.
In this paper, a Trademark Application Assistant (TAST) that aims to speed up the process of a successful trademark application is proposed. The core of TAST is a similarity-based image retrieval system that makes use...
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In this paper, a Trademark Application Assistant (TAST) that aims to speed up the process of a successful trademark application is proposed. The core of TAST is a similarity-based image retrieval system that makes use of relaxation matching on extracted contour segments. A novelty of this research lies in the processing architecture introduced for adapting the highly effective but computation expensive relaxation matching algorithm to real-time image retrieval. Preliminary results illustrating the quality of matching and the scalability of the processing architecture in terms of response time are included. The proposed architecture is not limited to using relaxation matching based servers, but is also applicable to other types of matching server as well.
In the delayed match-to-sample task, responses of inferior temporal neurons to adjacent stimuli in the sequence are correlated to each other when the monkey was trained repeatedly with the sequence of visual stimuli, ...
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In the delayed match-to-sample task, responses of inferior temporal neurons to adjacent stimuli in the sequence are correlated to each other when the monkey was trained repeatedly with the sequence of visual stimuli, although the monkey was not required to associate the stimuli with each other. This correlation, however, is not observed for a monkey with lesions of the rhinal cortex, which is not consistently explained by existing models of such correlated responses. In the present study, we construct a model consisting of two networks corresponding to area TE and the perirhinal cortex, and show that perirhinal plasticity may underlie the mechanism of implicit association learning.
A fully recurrent neural network with a nonmonotonic activation function that treats temporal sequences without expanding them into spatial patterns is described. This network associates a complex spatiotemporal patte...
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A fully recurrent neural network with a nonmonotonic activation function that treats temporal sequences without expanding them into spatial patterns is described. This network associates a complex spatiotemporal pattern with a simple one using trajectory attractors formed by simple learning. Computer simulations show that the model not only has high recognition and generation abilities but can also perform advanced processing using bidirectional interactions.
Exoskeleton robots are currently widely used in the field of rehabilitation medicine to effectively assist patients with hand function loss in their rehabilitation training. To accommodate the physiological characteri...
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Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making in e...
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