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Title: term paper on study of interaction of pacemaker electrode with high frequency rf fields
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Posted By:
Created at: Friday 29th of March 2013 04:07:21 PM
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swarn singh PLS SND THIS TOPIC ANS IN MY ACCOUNT OF EMAIL [email protected] ....etc

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Title: a term paper on tele operated intelligent mobile robot docx
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Created at: Monday 22nd of October 2012 12:50:19 AM
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Title: 3GPP long term evolution LTE
Page Link: 3GPP long term evolution LTE -
Posted By: Electrical Fan
Created at: Friday 04th of December 2009 09:33:52 PM
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Abstract
This seminar discusses inter-technology mobility functionality being defined for emerging broadband wireless technologies and explains how this new functionality will add value to operatorâ„¢s networks. It explains the difference between various types of inter-technology mobility and then explores how LTE exploits inter-technology mobility to support a variety of access technolo- gies including 3GPP legacy technologies as well as EVDO, WiFi and WiMAX. This paper also provides examples illustrating how to use ....etc

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Title: SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC
Page Link: SHORT TERM LOAD FORECASTING USING ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC -
Posted By: seminar class
Created at: Monday 11th of April 2011 01:37:27 PM
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ABSTRACT:
This project presents the approach to the short term load forecasting using Artificial Neural Network (ANN) and Fuzzy Logic. Artificial Neural Networks (AAN) have recently been receiving considerable attention and a large number of publications concerning ANN-based short-term load forecasting (STLF) have appeared in the literature. Along with this Fuzzy Logic , also a part of Artificial Intelligence, is known to result in accurate predictions. In this paper, a model using Fuzzy Logic with the help of an ANN ....etc

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Title: Pre-Term Birth Prediction using Neural Network
Page Link: Pre-Term Birth Prediction using Neural Network -
Posted By: project topics
Created at: Thursday 04th of August 2011 06:14:05 PM
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Pre-Term Birth Prediction using Neural Network

This project has three contributions: 1) to evaluate how changing the a priori distribution of the training set affects the performance of a back-propagation feed-forward Artificial Neural Network (ANN) in predicting PreTerm Birth (PTB) for obstetrical patients, 2) to assess the effectiveness of the weight elimination cost function in improving the ANN's classification of PTB and in identifying a new minimal dataset, and (3) to determine if PTB can be predicted outside of clinical trial s ....etc

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Title: Intra - LTE Long Term Evolution HAND OVER
Page Link: Intra - LTE Long Term Evolution HAND OVER -
Posted By: seminar class
Created at: Wednesday 11th of May 2011 01:17:23 PM
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PRESENTED BY
SRAVANTHI.A


Handover
Definition: The process of changing the current radio channel to a new radio channel
Why Handover: To avoid the termination of call when mobile unit moves from one Base station area to the other base station area
Different ways a handover
Network Evaluated: the network makes the handover decision
Mobile Evaluated: the UE makes the handover decision and informs the network about it. In this instance, the final decision will be made by the network based upon on the ....etc

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Title: Real-World Sensor Network for Long-Term Volcano Monitoring Design and Findings
Page Link: Real-World Sensor Network for Long-Term Volcano Monitoring Design and Findings -
Posted By: Projects9
Created at: Monday 23rd of January 2012 07:52:55 PM
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Abstract—This paper presents the design, deployment, and evaluation of a real-world sensor network system in an active volcano—Mount St. Helens. In volcano monitoring, the maintenance is extremely hard and system robustness is one of the biggest concerns. However, most system research to date has focused more on performance improvement and less on system robustness. In our system design, to address this challenge, automatic fault detection and recovery mechanisms were designed to autonomously roll the system back to the initial state if exc ....etc

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Title: Short-term aging characterization of asphalt binders using gel permeation chromatogra
Page Link: Short-term aging characterization of asphalt binders using gel permeation chromatogra -
Posted By: smart paper boy
Created at: Monday 18th of July 2011 01:45:39 PM
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Abstract
Both the rolling thin film oven test (RTFOT) and the short-term oven aging (STOA) methods are used in the laboratory to represent
the aging of an asphalt binder during plant mixing, transportation and paving. The RTFOT is conducted at 163 C for 85 min, and the
recommended STOA methods are to heat the loose mix in a forced draft oven either at 135 C for 4 h or at 154 C for 2 h dependent on
the asphalt binder’s stiffness. The actual time of short-term aging in the field varies depending on hauling dist ....etc

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Title: AN EXPERT SYSTEM BASED ALGORITHM FOR SHORT TERM LOAD FORECAST
Page Link: AN EXPERT SYSTEM BASED ALGORITHM FOR SHORT TERM LOAD FORECAST -
Posted By: seminar surveyer
Created at: Thursday 14th of October 2010 01:44:01 PM
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Prepared by:
Saifur Rahman
Rahul Bhatnagar


Abstract

This paper reviews some of the existing studies on one-to-twenty four hour load forecasting algorithms, and presents an expert system based algorithm as an alternative. The logical and syntactical relationships between weather and load, and the prevailing daily load shapes have been examined to develop the rules for this approach. Two separate, but similar, algorithms have been developed to provide one-to-six hour and 24 hour ahead forecasts. These forecasts have bee ....etc

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Title: Frequent Term-Based Text Clustering
Page Link: Frequent Term-Based Text Clustering -
Posted By: project report maker
Created at: Sunday 01st of August 2010 12:40:07 PM
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ABSTRACT

Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special problems of text clustering: very high dimensionality of the data, very large size of the databases and understandability of the cluster description. In this paper, we introduce a novel approach which uses frequent item (term) sets for text clustering. Such frequent sets can be efficiently discovered using algorithms for associa ....etc

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