Volume 1 | Issue 3 |

 Abstract

This paper presents classification of multi class dataset by using data mining classifiers SVM, CART and Neural Network. The multi class data set investigated in this study is taken from UCI machine learning repository. The data set contains seven different categories. The models obtained by the classifiers are combined to form an ensemble model by averaging their scores. Classification performances of all models are evaluated by using statistical measures like linear correlation, standard deviation, minimum error, maximum error and mean error. A comparative study is carried out among all models. In this paper experimental result showed that the ensemble model gives greater accuracy than the individual models for classification of multi class data set.

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 Keywords

Data mining, SVM, Neural network, CART, Ensemble model, linear correlation.

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Biometric recognition has recently gained significant attention from computer vision researchers. This paper presents a human skin recognition system based on skin detection. Main innovation in this paper includes biometric recognition, sign language processing, automatic age estimation, gait interpretation and other image processing oriented studies, detecting various regions of the human body such as face, hands etc. has great importance. Furthermore with the rapid development of internet, building up the image filters is required. In this study a biometric purpose image filter according to skin analysis is mentioned. Skin detection techniques usually use color components in the color spaces like RGB, normalized RGB, HSV, YCbCr and TSL or YIQ even though the input image is generally in RGB format studied and transformations in these spaces are performed. Skin tones vary significantly within and across individuals. In skin detection with neural networks (NN), the NN processes every location of the image in order to detect anywhere.

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 Keywords

Biometric recognition, gait interpretation, image filter, NN, color components, skin tones.

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This document explains the impact of autonomous vehicles on society. The project includes a background section which gives information about the history and technology of autonomous vehicles. To evaluate the socio-economic effect of the autonomous vehicles, we review the benefits and economic savings that will emerge as a result of the introduction of autonomous cars in the economy. Impacts on safety, traffic flow, fuel economy, professional driving and culture are some of the important issues mentioned in this report.

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In This paper presents a design of Slope compensation in Dc-Dc flyback converter. Current mode control as usually implemented in switching power supplies senses and controls peak inductor current. Current mode control have cycle to cycle peak current limit, inherent voltage feed forward loop and simplified loop compensation. Flyback converter operates in peak current mode, which is suffer from instability, and sub-harmonic oscillation, when it operates in continuous conduction mode and the duty cycle is greater than the 50% .We analyze the slope compensation method for reducing the sub-harmonic oscillation and enhances the stability and to provide the feed forward property. Experimental result shows the value of M (slope) or ramp signal. Simulation result gives the less harmonic in the system and inductor current waveform with and without compensation.

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 Keywords

Flyback Converter, Current Mode Control, Peak Current mode control, Ramp compensation.

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The earliest way to managing electronic data in hard hard-drive is File System. In a typical File System electronic data are directly stored in a set of files. If only one table is stored in a file, they are called flat files. They contain values at each row seprated with a special delimiter like commas. The burden of locating the necessary file, going through the records ( line by line ) checking for the existence of a certain data, remembering what files/records to edit is on the user. The user either has to perform each task manually or has to write a script that does them automatically with the help of the file management capabilities of the operating system. Because of inconsistency, inability for concurrency, data isolation, threats on integrity and lack of security the File Systems are vulnerable

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 Abstract

The basic principle of inventory control is ABC based on cost criteria. The objectives of this study are to identify the categories of spare items requiring greater managerial control, because not all inventories need to be controlled with equal attention. Another most important objective is to ensure continuous availability of stores to user departments while keeping the stock levels at optimum level is one of the important objectives of Stores Department. The study was conducted at a single ward of store depot SECR Raipur. From 189 items of spare, 17 items (8.99%) consume 70.56% of annual value and clasified into class A, 40 items (21.16%) consume 19.35% of annual value classified into class B, and 132 items (69.85%) of annual value consume only 10.09% forming class C. The results showed that there was items of class Amay warrant more care than forecasting class B and class C.

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The usage of the FPGA (Field Programmable Gate Array) for neural network implementation provides flexibility in programmable systems. For the neural network based instrument prototype in real time application, conventional specific VLSI neural chip design suffers specific VLSI neural chip design precision artificial neural network design, FPGAs have higher speed and smaller size for real time application than the VLSI design. In addition, artificial neural network based on FPGAs has fairly achieved with classification application.

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Creative Commons Attribution 4.0 and The Open Definition

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Programmable Logic Controller, Ladder Diagram Functional Block Diagram, Transformation Methodology.

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This paper presents the results of an experimental research on the workability and compressive strength of ordinary and standard concrete. The work focused on concrete mixes having water/cement ratios of 0.50 with different grade of concre dosages of a superplasticizer 0.2%, 0.4% and 0.6% by weight of cement based on carboxylic. The workability tests utilized in this research were the slump flow and compacting factor test dispersants to avoid particle aggregation, and to improve the flow characteristics of suspensions such as in directly improves the performance of the fresh and hardened state of concrete. In this project for a pa percentage of superplasticizers from 0.2% to 0.6% various mixes are design by IS 10262:2009. considered. The graphs between percentage of superplasticizers with W/C ratio, CF and strength are plotted. Same work is done with other grades of concrete also.

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 Keywords

Concrete, Water Cement ratio, Strength, Superplasticizers and Workability etc.

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This paper present an efficient Genetic Algorithm based solution for Harmonic elimination in single phase PWM rectifier. A control lo has been designed to attain a suitable DC voltage with minimum ripple, input current with minimum harmonic and maximum input power factor. Theoretical studies have been carried out to show the effectiveness and robustness of the proposed method for elim harmonics. Theoretical results are validated through simulation using MATLAB software package

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 Keywords

Single phase PWM rectifier, Harmonics, Power Factor, Genetic Algorithm ,MATLAB

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Creative Commons Attribution 4.0 and The Open Definition