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e-Government Standard Framework aims to provide a standardized set of software tools for developing and running e-Government applications in order to improve the efficiency of ICT investment and the quality of e-Government services. It focuses on improving the reusability and interoperability of e-Government applications by setting a standard framework for developing software of e-Government. By providing...
Enterprise Architecture (EA) is regarded as one of the means to ensure information technology interoperability, standard and reuse within an organizational boundary. In the public sector, however, there rises another kind of issues on how to integrate agency EA practices into the whole of government view. The conception of Government-wide EA (GEA) is the results of this consideration, and how to implement...
This paper proposes intelligent Water Vision System(IWVS) that can analyze and process the vision underwater by filming various underwater environments with multi-directional underwater camera that is specifically waterproofed. The existing underwater camera filming method had the weakness in acquiring only one side of vision with single-directional under water camera. Thus this the paper proposed...
In this paper we show how a motion capture system and feedback mechanism can be integrated into a virtual ping- pong game to create a multi-player platform. To trace the motion of each player, optical markers are attached to different places on each player's paddle. For tactile feedback, we designed a controller for a DC (Direct Current) motor, which is also attached to the paddle. This controller...
In this paper, we propose a neural network based model of robust speech recognition by integrating audio, visual, and contextual information. bimodal neural network(BMNN) is a multi-layer perceptron of 4 layers, which combines audio and visual features of speech to compensate loss of audio information caused by noise. In order to improve the accuracy of speech recognition in noisy environments, we...
In this paper, we propose a neural network based model of robust speech recognition by integrating audio, visual, and contextual information. Bimodal Neural Network(BMNN) is a multi-layer perceptron of 4 layers, which combines audio and visual features of speech to compensate loss of audio information caused by noise. In order to improve the accuracy of speech recognition in noisy environments, we...
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