Cardiovascular measures can be used as indices of physiological and affective state. The theoretical and practical issues encountered in the sequence of data-acquisition, artefact handling and data (pre-) processing a...
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Automatic inference of affect relies on representative data. For viable applications of such technology the use of naturalistic over posed data has been increasingly emphasised. Creating a repository of naturalistic d...
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the traditional remote data collection has the shortcomings such as the cover scope is small and the corresponding is unreliable, and the wireless network communication has better timeless and does not have the space ...
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ISBN:
(纸本)9781424447541
the traditional remote data collection has the shortcomings such as the cover scope is small and the corresponding is unreliable, and the wireless network communication has better timeless and does not have the space limitation The remote data collection and supervisory system based on GPRS/3G (General Packet Radio Service/The 3rd generation communication) network is discussed and designed in the text It discusses chiefly a scheme which uses JZ4730 microcontroller to control TC35i module and make use of MMS (Multimedia Messaging Service) and SMS (Short Messaging Service) to complete remote data collection and supervision, and supplies a design program of the hardware and software, and then a conclusion is given at the end of paper
This paper focuses on a new framework for an intelligent Environment to respond intelligently to persons being in a ubiquitous computing environment. The framework contains 1. context notations to have a three-key-pre...
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In this paper we present BlueS, a framework for information-service discovery and data exchange in mobile ad-hoc scenarios. Therefore, its necessary to develop intelligent efficient indexing strategies for knowledge a...
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In this paper, we describe an analysis tool based on the statistical environment R. GridR, which allows Using the collection of methodologies available as R packages in a grid environment. It provides the user with tr...
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In this paper, we describe an analysis tool based on the statistical environment R. GridR, which allows Using the collection of methodologies available as R packages in a grid environment. It provides the user with transparent and seamless access to large-scale distributed computational services and data repositories within the secure and reliable framework of a grid system. The aim of GridR, which was initiated in the context of the EU project Advancing Clinico-Genomics Trials on Cancer (ACGT), is to provide a powerful framework for the analysis of clinico-genomic trials involving large amount of data (e.g. microarray-based clinical trials). As a proof of the concept, in example of microarray-based analysis taken from the literature was reproduced Using GridR. (C) 2008 Elsevier B.V. All rights reserved.
作者:
He, JingWuhan Univ
Econ & Management Sch Wuhan 430072 Peoples R China
The data Mining field proposes the development of methods and techniques for assigning useful meanings for data stored in databases. It gathers researches from many study fields like machine learning, pattern recognit...
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ISBN:
(纸本)9780769538594
The data Mining field proposes the development of methods and techniques for assigning useful meanings for data stored in databases. It gathers researches from many study fields like machine learning, pattern recognition, databases, statistics, artificial intelligence, knowledge acquisition for expert systems, data visualization and grids. data Mining represents a set of specific algorithms of finding useful meanings in stored data. This paper aims to point the most important steps that were made in the data mining field of study in recent years and to show how the overall process of discovering can be improved in the future.
This paper introduces an improved BCI system based on alpha rhythm, the main composition units of the system are electrodes, acquisition circuit, online detecting algorithm and outer devices. For improving the perform...
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This paper presents Eco2home, a software solution aiming to reduce energy consumption in the domestic area by providing intelligent information. The project started from the idea of the successful European project nam...
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ISBN:
(纸本)9781424450541
This paper presents Eco2home, a software solution aiming to reduce energy consumption in the domestic area by providing intelligent information. The project started from the idea of the successful European project named Eco n'Home. The Eco n'Home project was created by a group of experts that were using data related to buildings, collected from house owners, to create an "action plan" containing energy reduction advices for the owners. The current solution automates these processes by combining techniques like artificial intelligence (expert systems) with technologies like web services and web applications. This enables the solution to collect data related to buildings trough a web application and to automatically generate advices trough an expert system. Another key feature of the solution is the ability to generate daily advices by using a second expert system that consumes weather data from a weather forecast web service. At the end some energy reduction results are detailed and future work is presented.
Emotion plays an important role in human communication and therefore also human machine dialog systems can benefit from affective processing. We present in this paper an overview of our work from the past few years an...
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