This paper describes the design and implementation of the ASP-NG system. The main modules of the ASP-NG system are the AoD service and the Web Portal. The ASP-NG Portal is a portal for providing the user with the necessary interface in order to access an Application on Demand (AoD) service. The ASP-NG portal is responsible for the interaction with the user of the AoD service. Using the AoD serv...

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In this paper, we will describe ODIE, the On-Demand Information Extraction system. Given a user’s query, the system will produce tables of the salient information about the topic in structured form. It produces the tables in less than one minute without any knowledge engineering by hand, i.e. pattern creation or paraphrase knowledge creation, which was the largest obstacle in traditional IE. Th...

Demand monitoring equipment is installed in each factory or office, and is linked to the Mitsubishi Electric Head Office via the intranet, where a centralized monitoring server provides comprehensive control (Fig. 1). The multi-demand viewer uses its wide-area control function to collect electric power data from each site in real time, and sends out an alert e-mail when there is a high probabil...

This paper presents the multicast Media-onDemand system, mMOD, which is an on-demand system designed for recording and playback of not only audio and video but also other media that are being multicast on the Internet/MBone today. The system allows for users to request playback of recorded sessions containing MBone audio, video, whiteboard, NetTextEditor, mWeb (a distributed HTML presentation s...

We propose a multilingual lecture-on-demand system, which searches lecture videos for segments relevant to user information needs across languages. We utilize the benefits of textbooks and audio/video data corresponding to a single lecture. We extract the audio track from a target lecture video, generate a transcription by large vocabulary continuous speech recognition, and produce a textual in...

This project describes the electricity demand and energy consumption management system and its application to Southern Peru smelter. It is composed of an hourly demand-forecasting module and of a simulation component for a plant electrical system. The first module was done using dynamic neural networks with backpropagation training algorithm; it is used to predict the electric power demanded ev...