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Buck Converter Based Starter and Speed Controller for a DC Motor using PID Controller
Jayanthi.V ; Sowmithra.R.V; Sathishkumar.R
Electrical Engineering
Year: 2015, Volume:1, Issue : 12
Pages: 354 - 358
DC motor widely used-high precision digital controls. Speed control of dc motor is achieved with smooth starter by using buck converter. Hard switching causes unsatisfactory dynamic behavior produces abrupt variations in the V & I of the motor overcome by dc-dc buck power converter by PID controller. A separately excited dc motor is used for this simulation. The PI control method is used in which the settling time is reduced. The proposed system with PID control is used as outer voltage control loop. Dc-dc buck converter is mainly used for regulate the desired output voltage level and maintain DC motor speed as constant. Any change in torque does not affect the speed of the motor. Step less velocity and smoothness in armature voltage control with PWM technique is used.
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Performance Analysis of CNC Milling Machine using Graph Theory
Navin Vashisth ; Mukesh Gupta
Mechanical Engineering
Year: 2015, Volume:1, Issue : 12
Pages: 359 - 368
Milling is the machining process of using rotary cutters to remove material from a workpiece advancing (or feeding) in a direction at an angle with the axis of the tool. It covers a wide variety of different operations and machines, on scales from small individual parts to large, heavy-duty gang milling operations. All the operation performs on CNC milling machine is controlled by process parameters and optimum cutting condition is established among parameters to get the desired results. This Study is to establish the relation between the process parameters of CNC milling machine, behavioural aspect in different cutting condition and their dependency on other process parameter. Graph theory and permanent matrix concept is used to evaluate the dependency matrix to the performance analysis of CNC milling machine.
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Aspects of Reconfigurable Fixtures and Barriers in their Implementation
Dr. Vasdev Malhotra ; Nitin Dixit; Himani Gautam
Mechanical Engineering
Year: 2015, Volume:1, Issue : 12
Pages: 369 - 371
Fixture is use to hold a workpiece in the desire position and orientation during manufacturing, assembly, welding or any other machining process. Conventional fixtures need to be redesigned and remanufactured for every new product or process. So there is need of special work holding device like reconfigurable fixture which can be used to hold a variety of workpieces or to hold the workpiece in different orientation. But, implementation of such fixtures is not an easy task as a number of barriers affect their implementation. The paper presents a brief introduction to the reconfigurable fixtures and barriers in the implementation of such fixtures.
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Eye Disease Detection using Daubechies Wavelet Transform
Sivapriya C ; Vijay G; Vignesh R; Tejaswini V
Electronics & Communication Engineering
Year: 2015, Volume:1, Issue : 12
Pages: 372 - 376
The significant health issue among the senior and old individuals are eye ailments . As people tend to end up old , the ordinary operation of eye diminishes and ends up in eye disorders. These eye disorders grow steadily and thus the patient generally may not recollect of the slow loss of sight till late inside the affliction and once vision is truly affected. The faster the disease are recognized ,higher the possibility of cure at the most punctual . There are numerous eye disorders like Cataract, redness, corneal Haze, Glaucoma, age-related eye issues and layer haziness. The eye image of the patients are caught and compared with the picture in the database. This project of detecting eye disease is done using Daubechies Wavelet Transform in Matlab Simulink software.
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Review of Parking Problems in CBD Area of Urban Cities in Developing Countries
Nidhi Mehta ; Prof. Jayesh Juremalani ; Khatri Pallavi V
Civil Engineering
Year: 2015, Volume:1, Issue : 12
Pages: 377 - 379
With the increase of the number of automobiles, the city parking demand occurred a rapid growth, and the city automobile parking had become a very serious traffic problem for Central Commercial District in cities. The parking demand forecast is the key of public parking planning and provides the basic data for the size of the parking lot. Understanding parking choice behavior is important in parking facility design and service evaluation. Lack of sufficient studies on parking choice behavior investigation has been an issue in parking facility. This paper studied the various methods used for parking problems studies and solution soughted for them.
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Study of MRR on AISI D3 Die Steel with Different EDM Parameters using Two Level Full Factorial Designs
Sunil Kumar ; Bhaskar Srivastava; Chandan Kumar
Mechanical Engineering
Year: 2015, Volume:1, Issue : 12
Pages: 380 - 387
Now days, the demands for alloy materials having high hardness, toughness and impact resistance are increasing in mechanical industry. Therefore, it has become essential to develop cutting tool materials and processes which can safely and conveniently machine such new materials for sustained productivity, high accuracy and versatility at automation. As a result, non-traditional machining such as electric discharge machining (EDM), provides effective solutions to the problem imposed by the increasing demand for high strength alloys, the requirement of parts with intricate and compacted shapes and materials as hard as to difficult machining by conventional methods. During non-conventional machining, it has long been recognized that the machining conditions affect the performance of the operation to a greater extent. These machining conditions should be selected to optimize the economics of machining operations. So it can be achieved by empirical modeling of performance as a function of machining conditions using design of experiments (DOE). The proposed work will be employed for effect of silicon carbide powder on surface roughness and MRR during the electric discharge machining using two level full factorial design.
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Fault Classification in Electric Power Transmission Lines using Support Vector Machine
Rashmi Singh ; Dr. Tarun Chopra
Electrical Engineering
Year: 2015, Volume:1, Issue : 12
Pages: 388 - 400
Transmission lines forms the backbone of the transmission and distribution networks which powers the nation. No modern society can imagine its existence without power supplies which runs everything ranging from consumer electronics to bullet trains. Electrical power systems suffer from unexpected failures due to various random causes. Unpredicted faults that occur in power systems are required to prevent from propagation to other area in the protective system. The functions of the protective systems are to detect, then classify and finally determine the location of the faulty line of voltage and/or current line magnitudes. Then at last, for isolation of the faulty line the protective relay have to send a signal to the circuit breaker. The ability to learn, generalize and parallel processing, pattern classifiers is powerful applications of machine learning used as an intelligent means for detection. This research paper focuses on detecting, classifying and locating faults on electric power transmission lines. Fault detection and fault classification have been achieved by using support vector machines. The SVM based classifier is trained on the fault database to classify transient single phase to ground faults. Simulation results have been provided to demonstrate that Support Vector Machine based methods are efficient in locating faults on transmission lines and achieve satisfactory performances. Simulation of three phase transmission line is done in MATLAB and results are compared in context of the fault classification and fault location.
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Analysis of Spatial Complex Degree of Coherence for Lorentz-Gauss Beams through Paraxial ABCD Optical System
Nivedita Mishra ; Hardeep Singh
Electronics & Communication Engineering
Year: 2015, Volume:1, Issue : 12
Pages: 401 - 405
Partially coherent Lorentz-Gauss beams can propagate by remaining spatially localized and non-divergent. The Gaussian beams and after a bit application of Lorentz function, the Lorentz-Gauss beams are a better tool for optical communication. Analytical formulae for spatial complex degree of coherence are derived. In this paper mathematical model of Lorentz-Gauss beams is derived in terms of ABCD parameters. The dependence of spatial complex degree of coherence on beam parameters and coherence length is shown and the role of ABCD parameters is widely discussed. It is observed that focal length plays important role for the performance of Lorentz-Gauss beams.
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Analysis of the Effect of Coupling Coefficient in a Nonlinear Directional Coupler Based On Cross-Phase Modulation
Abha Aggarwal ; Hardeep Singh
Electronics & Communication Engineering
Year: 2015, Volume:1, Issue : 12
Pages: 406 - 412
In this paper, we introduce a pulse into the nonlinear directional coupler, and add a pump light by wavelength division multiplexing which is to use Kerr effect as an advantage and produce the cross-phase modulation. We then analytically solve the coupled nonlinear Schrodinger equations for the input power and plot transmission coefficient with respect to normalized input power for varying values of coupling coefficient. After that, we analyse the effect of coupling coefficient on the switching characteristics i.e. transmission coefficient with respect to normalized input power with input signal in one port and input signal in both the ports respectively.
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I-Priori Algorithm for Finding Frequent Itemset in Relational Databases
Seema Rani ; Manisha Dawra
Computer Engineering
Year: 2015, Volume:1, Issue : 12
Pages: 413 - 416
Data mining is the activity of finding interesting trends or pattern in large datasets in order to guide decisions about future activities. Data mining tools try to identify these patterns in data with minimal user input. One of the important problems in data mining is discovering association rules from databases of transactions, where each transaction contains a set of items. Several algorithms for finding association rules have been proposed. Association rules capture the relationship of items that are present in a transaction. This information can be used to improve the layout of the goods in the store. The main objective of this dissertation is to study the various data mining methods and proposal of new algorithm for finding frequent item sets. Web traversal mining is an important application field in association rule mining. Which is relatively a matured field and has been covered in many publications. However, data mining is a highly application dependent field and different application in question will usually require different techniques to cope with. The difference of web traversal pattern mining from standard association rule mining is that latter only concerns frequent item sets without having to worry about the sequence of the items. In this thesis, an algorithm for mining access patterns in distributed information (www) has been produced. The analysis of such access data can provide useful information for server performance enhancements, restructuring a website, and direct marketing in ecommerce, etc. One main characteristics of such environment is that users access information of internet and travel from one object to another via the corresponding facilities provided. Capturing the regulations of the user access patterns has been the main endeavor.
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Abstract
