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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long-term scheduling



1. What is a long-term scheduling? How it is differ from short-term scheduling?

A process migrates between the various scheduling queues through out its lifetime. The operating system must select for scheduling purposes, processes from these queues in some fashion. The selection process is carried out by the appropriate scheduler.
In a batch system, oft ....etc

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termpaper on tele operated intelligent robot ....etc

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swarn singh PLS SND THIS TOPIC ANS IN MY ACCOUNT OF EMAIL [email protected] ....etc

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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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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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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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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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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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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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