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检索条件"任意字段=3rd IEEE Intelligent Data Acquisition and Advanced Computing Systems"

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Impact of application-driven multi-radio emulation in embedded devices on IETF LoWPAN standards

Impact of application-driven multi-radio emulation in embedd...

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ieee/IFIP International Conference in Central Asia on Internet (ICI)

作者： Javohir Azizov Olim Hidoev Jamshid Sangirov Dilshod Rahmatov Information and Communications University Tashkent University of Information Technology South Korea

As global standards evolve on WPAN mobility, engineering design becomes more challenging for sensor nodes that form WPAN groups at random based on data sensing and acquisition (application) profiles. As sensor node platforms typically have computation blocks that can handle a minimal set of instructions (8 bit microcontrollers and less) and are greatly constrained (8KB static firmware footprint and 64KB RAM), the clear challenge in supporting multi-applications (and hence multi-radios) to enhance the sensor 's functionalities is the implementation of different radio and application profile stacks on the embedded system. The main design bottlenecks are system architecture optimization for multi-radio stacks, application-driven PHY/MAC emulation in the 8KB static firmware and of course, ensuring low power and high battery life. Our studies indicate that overcoming these embedded systems engineering bottlenecks in sensor node designs involves rethinking a few standards and raising the need to have new standards in the IETF LoWPAN WG. On this paper, we would like to show the need to introduce a new protocol in the LoWPAN WG derived from overcoming some of the sensor node design bottlenecks in seamless pervasive indoor environments.

关键词： Emulation Design engineering Sensor systems and applications Microprogramming Embedded system Sensor systems data engineering Computer aided instruction Embedded computing Microcontrollers

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Energy-efficient data acquisition using a distributed and self-organizing scheduling algorithm for wireless sensor networks 07

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Proceedings of the 3rd ieee international conference on Distributed computing in sensor systems

作者： Supriyo Chatterjea Tim Nieberg Yang Zhang Paul Havinga Department of Computer Science University of Twente Enschede The Netherlands Research Institute for Discrete Mathematics University of Bonn Bonn Germany

ISBN: (纸本)9783540730897

Wireless sensor networks are often densely deployed for environmental monitoring applications. Collecting raw data from these networks can lead to excessive energy consumption. Thus using the spatial and temporal correlations that exist between adjacent nodes we appoint a few as representative nodes that perform in-network aggregation. This reduces the total number of transmissions. Our distributed scheduling algorithm autonomously assigns a particular node to perform aggregation and reassigns schedules when network topology changes. These topology changes are detected using cross-layer information from the underlying MAC layer. We also present theoretical performance estimates and upper bounds of our algorithm and evaluate it by implementing the algorithm on actual sensor nodes, demonstrating an energy-saving of up to 80% compared to raw data collection.

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A tool for intelligent customer analytics

A tool for intelligent customer analytics

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3rd ieee International Conference on intelligent systems

作者： Nauck, Detlef D. Ruta, Dymitr Spott, Martin Azvine, Ben BT Grp Chief Technol Off Res & Venturing Intelligent Syst Res Ctr Adastral PkOrion BldgPP1-12 Ipswich IP5 3RE Suffolk England

ISBN: (纸本)9781424401956

Businesses collect and keep large volumes of customer data as part of their processes. Analysis of this data by business users often leads to discovery of valuable patterns and trends that otherwise would go unnoticed and that can lead to prioritization of decisions on future investments. The majority of tools currently available to business users are typically limited to computing summary statistics, simple visualization and reporting of data. More complex tools that could offer possible explanations for observations, discover knowledge, or allow making predictions are usually aimed at an academic audience or at users who are highly trained in analytics. However, it is business users with little experience in analytics who require access to tools that allow them to easily model customer behavior and build future scenarios. In this paper we present a tool we developed for business users to perform advanced analysis on customer data.

关键词： Bayesian network intelligent data analysis machine learning

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An incremental learning structure using granular computing and model fusion with application to materials processing

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3rd ieee International Conference on intelligent systems

作者： Panoutsos, George Mahfouf, Mahdi Univ Sheffield Dept Automat Control & Syst Engn Mappin StAmy Johnson Bldg Sheffield S1 3JD S Yorkshire England

ISBN: (纸本)9781424401956

This paper introduces a Neural-Fuzzy (NF) modeling structure for offline incremental learning. Using a hybrid model updating algorithm (supervised/unsupervised) this NF structure has the ability to adapt in an additive way to new input-output mappings and new classes. data granulation is utilised along with a NF structure to create a high performance yet transparent model that entails the core of the system. A model fusion approach is then employed to provide the incremental update of the system. The proposed system is tested against a multidimensional modeling environment consisting of a complex, non-linear and sparse database.

关键词： adaptive intelligent systems data fusion granular computing incremental learning neural-fuzzy modeling

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A computerised diagnostic Decision Support System in Wireless-Capsule Endoscopy

A computerised diagnostic Decision Support System in Wireles...

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3rd ieee International Conference on intelligent systems

作者： Kodogiannis, Vassilis S. Lygouras, John N. Univ Westminster Sch Comp Sci Mechatron Grp London HA1 3TP England Democritus Univ Thrace Dept Elect & Comp Engn Xanthi Greece

ISBN: (纸本)9781424401956

Decision Support systems have been utilised since 1960, providing physicians with fast and accurate means towards more accurate diagnoses, increased tolerance when handling missing or incomplete data. In this paper an integrated intelligent framework has been developed for the analysis/diagnosis of Wireless Capsule Endoscopic Images. The proposed system extracts texture features from the texture spectra in the chromatic and achromatic domains for a selected region of interest from each colour component histogram of images and utilises an advanced neural network in a multiple classifier scheme. The preliminary test results support the feasibility of the proposed methodology.

关键词： medical imaging neural networks computer aided diagnosis endoscopy

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Web intelligence, business intelligence and decision support systems: A challenge for fuzzy logic and soft computing

Web intelligence, business intelligence and decision support...

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3rd ieee International Conference on intelligent systems

作者： Kacprzyk, Janusz Polish Acad Sci Syst Res Inst PL-01447 Warsaw Poland

ISBN: (纸本)9781424401956

We present first some general remarks on challenges faced by modern information technology, notably when a human being is a relevant factor. These challenges are mainly related to inherent difficulties in solving some "meta-problems", in particular broadly perceived decision making. We assume, on the one hand, business intelligence related perspective, augmented with elements of Web intelligence, to fully use all available tools and resources. On the other hand, we assume a human centric computing perspective in the spirit of, for instance, Dertouzos's ideas. First, we present a brief account of modern approaches to real world decision making, emphasize the concept of a decision making process that involves more factors and aspects like: the use of own and external knowledge, involvement of various "actors", aspects, etc., individual habitual domains, non-trivial rationality, different paradigms. As an example we mention Checkland's deliberative decision making (which is an important elements of his soft approach to systems analysis). After an analysis of specifics and difficulties encountered in many real world decision-making situations, we strongly advocate the use of computer based decision support systems. First, we briefly review the history of decision support systems, and then present a popular classification, starting from data driven to Web based and inter-organizational. We indicate that decision support systems should incorporate some sort of "intelligence", and we first briefly mention some views of what intelligence may mean in this concept, and then assume some more pragmatic, though limited, view of intelligent decision support systems. We indicate possible advantages of using elements of fuzzy logic and soft computing, notably, Zadeh's computing with words to be able to somehow merge the ideas presented like: human centric computing, decision making processes, intelligent decision support, etc. Finally, we present an example of implementation in whi

关键词： Decision support systems

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Case-based decision support for intelligent patient knowledge management

Case-based decision support for intelligent patient knowledg...

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3rd ieee International Conference on intelligent systems

作者： Wilson, David O'Sullivan, Dympna McLoughlin, Eoin Bertolotto, Michela Univ N Carolina Dept Software & Informat Syst 9201 Univ City Blvd Charlotte NC 28223 USA Univ Coll Dublin Sch Informat & Comp Sci Dublin Ireland

ISBN: (纸本)9781424401956

The majority of healthcare workers in hospitals continue to record, access and update important patient information using paper charts. Disparate patient data (clinical information, laboratory results and medical imagery) is entered by different caregivers and stored at different locations around the hospital. This is a cumbersome, time consuming process that can result in critical medical errors such as documents being mislaid or prescriptions being misinterpreted due to illegible handwriting. Hospitals everywhere are moving to integrate health data sources using Electronic Health Record (EHR) systems as well as taking advantage of the flexibility and speed of wireless computing to improve the quality and reduce the cost of healthcare. We are developing a mobile application that allows doctors to efficiently access accurate real-time patient information at the point-of-care. The system can assist caregivers in automatically searching through very large repositories of previous patient cases as increasingly large hospital databases are making manual searches of such information unfeasible. The system performs computational prognosis by providing decision support for pre-screening of medical diagnosis. A presenting patient's symptoms can be input to a portable device and the application can quickly retrieve the most similar profiles with known diagnoses from large databases which can be used to compare treatments, diagnosis, test results and other information.

关键词： health medicine and bioengineering artificial intelligence decision support systems intelligent image processing case-based reasoning

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Informed data distribution selection in a self-predicting storage system

Informed data distribution selection in a self-predicting st...

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3rd International Conference on Autonomic computing, ICAC 2006

作者： Thereska, Eno Abd-El-Malek, Michael Wylie, Jay J. Narayanan, Dushyanth Ganger, Gregory R. Carnegie Mellon University Pittsburgh PA HP Labs Palo Alto CA Microsoft Research Cambridge United Kingdom

ISBN: (纸本)1424401755

systems should be self-predicting. They should continuously monitor themselves and provide quantitative answers to What...if questions about hypothetical workload or resource changes. Self-prediction would significantly simplify administrators' decision making, such as acquisition planning and performance tuning, by reducing the detailed workload and internal system knowledge required. This paper describes and evaluates support for self-prediction in a cluster-based storage system and its application to What...if questions about data distribution selection. © 2006 ieee.

关键词： Information dissemination

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intelligent simulator design for distributed pipeline networks control

Intelligent simulator design for distributed pipeline networ...

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3rd International Conference on Informatics in Control, Automation and Robotics

作者： Xu, Yong Guilin Univ Elect Technol Dept Comp Sci Guilin Peoples R China

ISBN: (纸本)9728865619

Supervisory Control and data acquisition (SCADA) systems are widely used to meet the ever-increasing technological demands for monitoring and control of distributed system. An intelligent simulator is designed to enhance the conventional SCADA system. The new architecture can be exploited to develop integrated systems for complex distributed system management, performance prediction, fault detection and optimized operation.

关键词： SCADA modelling pipelines intelligent control

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Healthcare data mining: Prediction inpatient length of stay

Healthcare data mining: Prediction inpatient length of stay

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2006 3rd International ieee Conference intelligent systems, IS'06

作者： Liu, Peng Lei, Lei Yin, Junjie Zhang, Wei Naijun, Wu El-Darzi, Elia School of Information Management and Engineering Shanghai University of Finance and Economics Shanghai 200433 China Health Care Computing Group School of Computer Science University of Westminster Northwick Park London HAl 3TP United Kingdom

ISBN: (纸本)1424401968

data mining approaches have been widely applied in the field of healthcare. At the same time it is recognized that most healthcare dataseis are full of missing values. In this paper we apply decision trees, Naive Bayesian classifiers and feature selection methods to a geriatric hospital dataset in order to predict inpatient length of stay, especially for the long stay patients. © 2006 ieee.

关键词： data mining

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