speed factory automated checkpoint log system for bike races
abstract
the idea of the project report is to add an rfid on every bike participating in race/rally and to setup microcontroller based rfid readers at several checkpoints along the route. the microcontroller boards will be equipped with rtc (real time clock) to keep the log of time and eeprom to maintain log of cross timings for all the bikes. later the data from all such microcontroller units can be transferred to a centralized database via serial like p ....etc

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speed control of three phase induction motor using single phase supply with fuzzy logic



abstract

majority of industrial drives use electric motors, since they are controllable and readily available. in practice, most of these drives are based on ac induction motor because these motors are rugged, reliable, and relatively inexpensive. the proposed technique of single phase to three phase conversion has a wide range of applications in rural areas and also in industries where ....etc

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abstract


the ....etc

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complaint log system



existing system.

in the existing system register is maintained to register the complaints. an employee of company gives a call to engineer and tell problem of computer. an engineer enters the complaint in the register. when an engineer solves the problem then employee give the remarks in amc card.


problem defination.
in the existing system lot of time is wasted. all work is to be
done manually .it will take lots of tim ....etc

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web log cleaning for mining of web usage patterns


abstract

web usage mining (wum) is a type of web mining,
which exploits data mining techniques to extract valuable
information from navigation behavior of world wide web
users. the data should be preprocessed to improve the
efficiency and ease of the mining process. so it is important to
define before applying data mining techniques to discover user
access patterns from web log. the main task of data
preprocessing is to prune noisy and irrelevant da ....etc

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web-log analysis using clustering


what is data minig ? ? ?

data mining is a process that uses a variety of data analysis tools discover patterns and relationships in data that may be used to make valid predictions.

web structure mining

creating a model of web organizatio.n
classify web pages.
create similarity measures between web pages.
page rank.
the clever system.
hyperlink induced topic search(hits).

web content mining ....etc

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delay-optimal opportunistic scheduling and approximations:
the log rule



abstract

this project report considers the design of multiuser opportunistic packet schedulers for users sharing a time-varying wireless channel from performance and robustness points of view. for a simplified model falling in the classical markov decision process framework, we numerically compute and characterize mean-delay-optimal scheduling policies. the computed policies exhibit radial sum-rate monotonici ....etc

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design, simulation and implimentation of neural network system using very log



abstract

a developmental approach for hardware implementations of neural networks is presented. neural network architectural representations including both behavioural and structural influences are presented using the verylog . verylog design entities and configurations are applied to neural network algorithm development and simulation. neural network design interchange fo ....etc

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abstract
in this paper, we propose to embed the watermark
information in the log-2-spatio domain by means of
spread spectrum technique. in log-2-spatio domain,
the variance of the information is reduced
significantly. this improves the efficiency and
robustness of spread spectrum technique. low
intensity and mid-band regions are selected to embed
the information in order to guarantee an invisible
watermark as well as the robustness to jpeg
compression. simulation results show that the
embedded information still survive up to t ....etc

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abstract:
frequent pattern mining is a heavily researched area in the field of data mining
with wide range of applications. one of them is to use frequent pattern discovery methods
in web log data. discovering hidden information from web log data is called web usage
mining. the aim of discovering frequent patterns in web log data is to obtain information
about the navigational behavior of the users. this can be used for advertising purposes, for
creating dynamic user profiles etc. in this paper three pattern mining approaches are
....etc

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