Frequency: 12 issues per year ISSN: 2250–3005 (online version) Published by: IJCER Call for paper...
International Journal of Computational Engineering Research (IJCER) Volume 3, Issue 5, May, 2013
Version I
S.No.
Article Title
Page No.
Paper Index
PDF
1
Study of the energy potential of solid waste in bauchi town
Aliyu Mohammed Lawal , Dr. Isa Garba
Abstract
The study of the energy potential of solid wastes in Bauchi Town was carried out, on the average the combination of plastics, rubber, polyethene bags constituted about 33% of the wastes, followed by textile materials, leathers, wood 26%and combination of papers, cartons 15%. The heating values or calorific value of the wastes was determined to be about 6.83 MJ/kg almost one-third of the energy content of sub-bituminous coal which is 19.4 MJ/kg was as determined using a digital calorimeter.
SIGNIFICANCE OF THE RESEARCH
The research will come up with records of wastes disposed and their energy potential that is their heating value. This will sensitize the state to adopt the waste to energy incineration system. Further, if this system is implemented together with solid waste recycling in form of compost and re-use, the principles of sustainable development would be supported.
Keywords: Energy potential, heating value, incineration, municipal solid waste and simulation
01-07
03.3005/03510107
2
Neural network approach to power system security analysis
Bidyut Ranjan Das , Dr. Ashish Chaturvedi
Abstract
Contingency analysis of a power system is a major activity in power system planning and operation. In general an outage of one transmission line or transformer may lead to over loads in other branches and/or sudden system voltage rise or drop. The traditional approach of security analysis known as exhaustive security analysis involving the simulation of all conceivable contingencies by full AC load flows, becomes prohibitively costly in terms of time and computing resources.
A new approach using Artificial Neural Network s has been proposed in this paper for real-time network security assessment. Security assessment has two functions the first is violation detection in the actual system operating state. The second, much more demanding, function of security assessment is contingency analysis. In this paper, for the determination of voltage contingency ranking, a method has been suggested, which eliminates misranking and masking effects and security assessment has been determined using Radial Basis Function (RBF) neural network for the real time control of power system. The proposed paradigms are tested on IEEE 14 – bus and 30 – bus systems.
Keywords: Input here the part of 4-5 keywords.
8-11
03.3005/035108011
3
Engine status monitoring system using real time clock (ds1307)
Manjunath Managuli , Yogeshkumar M H
Abstract
In this paper Engine status monitoring system (Block box) is used as a safety equipment to store the all data information of Railway engine WAP7 with real time data and time .Here we can use various types of sensor for measuring parameters of electrical engine and also store voice recorder with the system for safety and investigation of accidents. This system is controlled by ATMEGA 328P controller. The device stores all the data information up to 24 Hrs recording capability with real data and time this system operates at 5-12volt with 3amps current rating and all the recorded data of memory can be retrieved by hyper terminal of PC or Laptop.
Keywords: Controller (ATMEG 328P), Engine Status Monitor (ESM), Real time Sensor.
12-15
03.3005/0351012015
4.
Strength, Corrosion correlation of thermochemically treated low carbon value-added steel
Somnath Mukherjee , B Duari , P. K. Mitra
Abstract
In recent times it is very difficult to get only low carbon plain carbon steel. There are always some alloying elements associated with it and are known as value added steel. The effects of different types of chemical heat treatment on such steels have been studied to evaluate how far these steels can be used in those applications where high surface hardness and good corrosion properties are required.
16-22
03.3005/0351016022
5.
Mutual Funds and SEBI Regulations
R. M. Kamble
Abstract
A Mutual Fund is a form of collective investment that pools money from many investors and invests the money in stocks, bonds, short-term money market instruments, and/or other securities. Now a day's these Mutual funds are very popular because they provide an excellent way for anyone to direct a portion of their income towards a particular investment. In order to help the small investors, mutual fund industry has come to occupy an important place. Mutual funds provide an easy way for small investors to make long-term, diversified, professionally managed investments at a reasonable cost. The purpose and objective of this article is to study meaning and nature of Mutual funds, procedure, importance of SEBI and its mechanism in India, and also examine the growth of mutual funds and analyze the operations of mutual funds and suggest some measures to make it a successful scheme in India.
Keywords: Mutual Fund, Investment, Long Term, Short Term, Investor, Securities, SEBI.
23-27
03.3005/0351023027
6.
Integral solution of the biquadratic Equation
S.Vidhyalakshmi , T.R.Usha Rani , M.A.Gopalan
Abstract
We obtain infinitely many non-zero integer quadruples (x, y, z, w) satisfying the biquadratic equation
with four unknowns ( 1)( )
4 4 2 2 2
x y k z w . Various interesting relations between the
solutions, polygonal numbers, pyramidal numbers and centered pyramidal numbers are obtained.
Keywords: Biquadratic equations with four unknowns, integral solutions, special numbers, figurative
numbers, centered pyramidal numbers
28-31
03.3005/0351028031
7.
Experimental Studies on Effect of Coil Wire Insert On Heat Transfer Enhancement and Friction Factor of Double Pipe Heat Exchanger
Prof.Shashank S.Choudhari , Prof. Taji S.G.
Abstract
In the present study heat transfer characteristics and friction factor of horizontal double pipe heat exchanger with coil wire inserts made up of different materials are investigated. The Reynolds numbers are in the range of 4000-13000. The inner and outer diameters of tubes are 17 mm and 21.4 mm respectively. Hot water and cold water are used as working fluid on tube side and annulus side, respectively. The hot water and cold water flow rates are maintained same and in range of .033 to .1 kg/s. Three different materials as copper, aluminum, and stainless steel and different pitches are used. Aluminum, copper, and stainless steel inserts are of pitches 5, 10, and 15 mm respectively. Effect of these coil wire inserts material on enhancement of heat transfer and friction factor are considered. The experimental data obtained from plain tube were verified with the standard correlation to ensure the validation of experimental results. Coil wire has significant effect on heat transfer and friction factor. Cu insert has higher heat transfer enhancement of 1.58 times as compared to plane tube. On other hand Aluminum and stainless steel insert has heat transfer enhancement of 1.41 and 1.31as compared to plane tube respectively. The friction factor found to be increasing with decreasing coil wire pitch.
Simulation studies on Deep Drawing Process for the Evaluation of Stresses and Strains
A.Purushotham
Abstract
Deep drawing is a sheet metal forming process in which a sheet metal blank is radially drawn into a forming die by the mechanical action of a punch. It is thus a shape transformation process with material retention. The process is considered "deep" drawing as the depth of the drawn part exceeds its diameter. The flange region (sheet metal in the die shoulder area) experiences a radial drawing stress and a tangential compressive stress due to the material retention property. These compressive stresses (hoop stresses) result in flange wrinkles. Wrinkles can be prevented by using a blank holder, the function of which is to facilitate controlled material flow into the die radius. The present study therefore aims at estimating the pattern of radial and hoop stress and strain distributions and their variation under different blank holding forces (BHF) and friction forces. In the paper , comparison between the stress and strain distribution with steel and copper materials also made by changing the blank holding force (BHF) and the friction force (FF) between the punch and the blank during the deep drawing process. The investigation of effect of friction and blank holding force is performed using the numerical software tool ABAQUS. ABAQUS software is used to model the deep drawing process to evaluate stresses under BHF and FF.
Ankur Srivastava , Dhananjay Kumar , Om Prakash Gupta , Amit Maurya, Mr.sanjay kumar Srivastava
Abstract
The The detection and extraction of scene and caption text from unconstrained, general purpose video is an important research problem in the context of content-based retrieval and summarization of visual information. The current state of the art for extracting text from video either makes simplistic assumptions as to the nature of the text to be found, or restricts itself to a subclass of the wide variety of text that can occur in broadcast video. Most published methods only work on artificial text (captions) that is composited on the video frame. Also, these methods have been developed for extracting text from images that have been applied to video frames. They do not use the additional temporal information in video to good effect.This thesis presents a reliable system for detecting, localizing, extracting, tracking and binarizing text from unconstrained, general-purpose video. In developing methods for extraction of text from video it was observed that no single algorithm could detect all forms of text. The strategy is to have a multi-pronged approach to the problem, one that involves multiple methods, and algorithms operating in functional parallelism. The system utilizes the temporal information available in video. The system can operate on JPEG images, MPEG-1 bit streams, as well as live video feeds. It is also possible to operate the methods individually and independently.
Keywords: Detection, Extraction, Frame, Images and Tracking.
48-53
03.3005/0351048053
10.
Improved Performance for "Color to Gray and Back" For Orthogonal transforms using Normalization
Dr. H. B. Kekre , Dr. Sudeep D. Thepade , Ratnesh N. Chaturvedi
Abstract
The paper shows performance comparison of two proposed methods with Image transforms alias Cosine, Sine, Haar & Walsh using Normalization for "Color to Gray and Back‟. The color information of the image is embedded into its gray scale version using transform and normalization method. Instead of using the original color image for storage and transmission, gray image (Gray scale version with embedded color information) can be used, resulting into better bandwidth or storage utilization. Among the two algorithms considered the first algorithm give better performance as compared to the second algorithm. In our experimental results first algorithm for Discreet Cosine Transform (DCT) using Normalization gives better performance in "Color to gray and Back‟ w.r.t all other transforms in method 1 and method 2. The intent is to achieve compression of 1/3 and to print color images with black and white printers and to be able to recover the color information afterwards.
Keywords: Color Embedding; Color-to-Gray Conversion; Transforms; Normalization; Compression.
54-59
03.3005/0351054059
11.
Chain Code Based Handwritten Cursive Character Recognition System with Better Segmentation Using Neural Network
Parikh Nirav Tushar , Dr. Saurabh Upadhyay
Abstract
Character recognition plays an important role in many resent applications. Pattern recognition deals with categorization of input data. It is easy to recognize normal character but in cursive character we have to find out the boundary of a character that's why we have to apply better slant and segmentation techniques. A proper feature extraction method can increase the recognition ratio. In this paper, a chain code based feature extraction method is investigated for developing HCCR system. Chain code is working based on 4-neighborhood or 8–neighborhood methods. In this paper, 8–neighborhood method has been implemented which allows generation of eight different codes for each character. After feature extraction method, Classification techniques have been used for training and testing of Neural Network and other classifier.
Keywords: Pattern recognition, handwritten cursive character recognition (HCCR), segmentation with slant correction, feature extraction, chain code, neural network.
60-63
03.3005/0351060063
12.
Strength of Ternary Blended Cement Concrete Containing Oil Palm Bunch Ash and Plantain Leaf Ash
L. O. Ettu , K. C. Nwachukwu , J. I. Arimanwa , C. T. G. Awodiji , H. E. Opara
Abstract
This work investigated the compressive strength of ternary blended cement concrete containing oil palm bunch ash (OPBA) and plantain leaf ash (PLA). 105 concrete cubes of 150mm x 150mm x 150mm were produced with OPC-OPBA binary blended cement, 105 with OPC-PLA binary blended cement, and 105 with OPC-OPBA-PLA ternary blended cement, each at percentage OPC replacement with pozzolan of 5%, 10%, 15%, 20%, and 25%. Three cubes for each percentage replacement of OPC with pozzolan and the control were tested for saturated surface dry bulk density and crushed to obtain their compressive strengths at 3, 7, 14, 21, 28, 50, and 90 days of curing. The 90-day strengths obtained from ternary blending of OPC with equal proportions of OPBA and PLA were 27.00N/mm2 for 5% replacement, 25.90N/mm2 for 10% replacement, 25.10N/mm2 for 15% replacement, 23.60N/mm2 for 20% replacement, and 22.10N/mm2 for 25% replacement, while that of the control was 24.60N/mm2. The results show that high concrete strength values could be obtained with OPC-OPBA-PLA ternary blended cement at 50 days of hydration and above. Thus, OPC-OPBA-PLA ternary blended cement concrete could be used for various civil engineering and building works.
Ni-Based Cr Alloys and Grain Boundaries Characterization
Aezeden Mohamed , Tarek Mohamed
Abstract
Three Ni-base alloys Hastelloy C22, Inconel 600, and Inconel 601 with carbon contents of 0.003, 0.05, and 0.3 wt. % respectively were used to investigate the effect of carbon on the morphology grain boundaries at constant heat treatment. From microstructural characterization and analysis, it was observed that the lowest carbon content resulted in planer character grain boundaries, the carbon content produced wavy grain boundaries and the highest carbon content produced saws-teeth grain boundaries. It is suggested that higher carbon contents result in the formation of occurred grain boundaries due to the formation of M23C6 morphology.
Comparative Study of Available Technique for Detection in Sentiment Analysis
Miss. Siddhi Patni , Prof. Avinash Wadhe
Abstract
Our day-to-day life has always been influenced by what people think. Ideas and opinions of others have always affected our own opinions. As the Web plays an increasingly significant role in people's social lives, it contains more and more information concerning their opinions and sentiments. The distillation of knowledge from this huge amount of unstructured information, also known as opinion mining and sentiment analysis. It has recently raised growing interest for purposes such as customer service, financial market prediction, public security monitoring, election investigation, health related quality of life measure, etc. Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document about a subject, SA detects all references to the given subject, and determines sentiment in each of the references using natural language processing (NLP) techniques. There are various machine learning algorithms that attempt to predict the sentiment or opinions of some documents or information of particular data and organize data, such as finding positive and negative reviews while diminishing the need for human effort to classify the information. This paper compares the NLP and machine learning methods of sentiment analysis and determines which one is better.
Keywords: Sentiment Analyzer, Natural Language Processing, Machine Learning.
73-77
03.3005/0351073077
15.
Analyzing massive machine data maintaining in a cloud computing
Balamanigandan R
Abstract
We present a novel framework, Cloud View, for storage, processing and analysis of massive machine maintenance data, collected from a large number of sensors embedded in industrial machines, in a cloud computing environment. This paper describes the architecture, design, and implementation of CloudView, and how the proposed framework leverages the parallel computing capability of a computing cloud based on a large-scale distributed batch processing infrastructure that is built of commodity hardware. A case-based reasoning (CBR) approach is adopted for machine fault prediction, where the past cases of failure from a large number of machines are collected in a cloud. A case-base of past cases of failure is created using the global information obtained from a large number of machines. Case-base creation jobs are formulated using the MapReduce parallel data processing model. CloudView captures the failure cases across a large number of machines and shares the failure information with a number of local nodes in the form of case-base updates that occur in a time scale of every few hours. The case-base is updated regularly (in the time scale of a few hours) on the cloud to include new cases of failure, and these case-base updates are pushed from CloudView to the local nodes. Our approach, in addition to being the first reported use of the cloud architecture for maintenance data storage, processing and analysis, also evaluates several possible cloud-based architectures that leverage the advantages of the parallel computing capabilities of the cloud to make local decisions with global information efficiently, while avoiding potential data bottlenecks that can occur in getting the maintenance data in and out of the cloud.
Keywords: Fault prediction, machine data analysis, case-based reasoning, cloud computing,
78-81
03.3005/0351078081
16.
Implementation of an Algorithmic To Improve MCDS Based Routing In Mobile Ad-Hoc Network By Using Articulation Point
Shalu Singh , Dr Naveen Hemrajani
Abstract
A virtual backbone can reduce the Communication Overhead, increase the Bandwidth Efficiency, reduce Channel Bandwidth Consumption, decrease Management. Thus virtual backbone is being employed to optimize the number and locations of the resource centers in a give Wireless Ad hoc network. Only virtual backbone situated nodes act as routers and thus other nodes need not to acquire, keep, or update routing information. Generally CDS concept is implemented as virtual backbone in Mobile Ad hoc network and it must be of Minimum Size. Algorithms to find CDS in Ad hoc networks is divided into two types of Centralized (Global) Algorithms and Decentralized (Local) Algorithms. we determine MCDS of a greph And Analysis the performance and result. The proposed algorithms for MCDS formation are analyzed that calculate the list of nodes as MCDS for the wireless ad hoc networks with pictorial representation.
82-89
03.3005/0351082089
17.
Model Order Reduction By MixedMathematical Methods
Sumit Mondal , Pratibha Tripathi
Abstract
In this paper, a mixed method mathematical technique is proposed for finding reduced order model of Single-Input Single-Output (SISO) system. The model reduction of large scale systems is achieved by using Padé approximation and utilizing the characteristics of the higher order system which is maintained in the reduced model. The denominator polynomial of the reduced model is determined by the characteristic equation which retains the basic characteristics of the original system, and the coefficients of the numerator polynomial are obtained by using the Padé approximation technique.
Keywords: Integral Square Error, Padé Approximation, Single-Input Single-Output
90-93
03.3005/0351090093
18.
Enterprise Management Information System: Design & Architecture
Majid Zaman , Muheet Ahmed Butt
Abstract
The field of information systems deals with systems for delivering information and communications services in an organization and the activities and management of the information systems function in planning, designing, developing, implementing, and operating the systems and providing services. These systems capture, store, process, and communicate data, information, and knowledge. The systems combine both technical components and human operators and users. The environment is an organization or a combination of organizations. The process of Automation implicitly refers to the use of Information Technology for the development of Information system. Automation of information systems in organizations has been a thrust area since several years now. With the introduction of new technologies and reduction in their cost the affordability of automation of activities in different organizations has grown significantly [1][4].
94-97
03.3005/0351094097
19.
A Novel Approach for Filtering Unrelated Data from Websites Using Natural Language Processing
Foram Joshi Sandip Chotaliya
Abstract
Day by day review or opinion can be taken by number of websites. Either it's related to movie review or anything else. Every times it's not necessary that user post his/her opinion or review for particular subject only.so to filter out such unrelated comments or review we proposed a structure which is based on natural language processing. Our proposal first extract the comments or reviews from the particular site using web crawling concept and then it will processed on such data using natural language processing.so finally we will get the data which is only related to particular post.
Keywords: Data Extraction, Natural Language Processing, Wrapper , Opinion, Web Crawling, seed, fetch
98-101
03.3005/03510980101
20.
Current Routing Strategies to Adapt the Characteristics
Prof. Ananad L.Mothghare,
Abstract
The VANET characteristics including high-speed node movement, frequent topology change, and short connection lifetime especially with multi-hop paths. These three characteristics degrade the performance of some popular topological routing protocols for ad hoc network significantly. This is because topological routing needs to maintain a path from the source to the destination, but the path expires quickly due to frequent topology changes. The frequently changed topology suggests that a local routing scheme without the need to keep track of global routing information scales better in VANET. In addition, the popularity of GPS also makes position-based routing, which maintains only local information about the node's position, a popular routing strategy. A successful VANET routing solution also needs to handle issues such as sparse network density, interfering environment, long path length, latency etc. In this Paper, we look at the current routing proposals that address the characteristics of VANET. We select the routing strategies designed and tested on VANET simulation and categorize them into (1) position-based, (2) enhanced topological-based, and hybrid approach.
<
102-103
03.3005/035101020103
Version 2
S.No.
Article Title
Page No.
Paper Index
PDF
1.
Energy Based Routing Protocol for Wireless Sensor Networks
Paramveer Singh Bali , Srinivas B K.
Abstract
The main aim of the project carried is to provide an efficient routing mechanism that helps in data transmission in wireless network. The project is combination of mainly two algorithms, LEACH-c algorithm: it selects the cluster head by the base station. DCHS: it is also used to select cluster head by considering both factor of energy and factor of threshold. With the deployment of both algorithms it maximize network lifetime in wireless sensor networks, the paths for data transfer are selected in such a way that the total energy consumed along the path is minimized. It also helps to solve issues like load imbalance, signal interference and reduce time delay.
Keywords: Base station, Cluster Head, DCHS, Leach-c, WSN.
01-04
XXXXXXXXXXXXX
2.
Cfd Analysis of Convergent- Divergent Supersonic Nozzle
Ms. B.Krishna Prafulla , Dr. V. Chitti Babu , Sri P. Govinda Rao
Abstract
In the present work, CFD analysis of flow within, Convergent–Divergent rectangular supersonic nozzle and supersonic impulse turbine with partial admission have been performed. The analysis has been performed according to shape of a supersonic nozzle and length of axial clearance, with an objective of investigating the effect of nozzle-rotor interaction on turbine's performance. It is found that nozzle-rotor interaction losses are largely dependent on axial clearance which affects the flow with in nozzle and the extent of flow expansion. Therefore nozzle-rotor interaction losses can be decreased by selecting appropriate length of axial clearance.
The present work has been carried out in two stages: Part 1 consists of modeling and analysis of flow for rectangular convergent divergent supersonic nozzle. Part 2 of the work is on prediction of optimal axial gap between the Nozzle and rotor blades by allowing the above nozzle flow. In the present study, flow through the convergent divergent nozzle study is carried out by using a finite volume commercial code, FLUENT 6.2. The nozzle geometry modeling and grid generation has been done using GAMBIT 2.3 Software. Computational results are in good agreement with the experimental results taken from the literature.
Keywords: CFD, Modelling, Fluent, Gambit
5-16
XXXXXXXXXXXXX
3.
Observations on the Ternary Cubic Equation 2 2 3 x xy y 7z
S.Vidhyalakshmi , M.A.Gopalan , A.Kavitha
Abstract
The non-homogeneous cubic equation with three unknowns represented by the diophantine
equation 2 2 3 X XY Y 7Z is analyzed for its patterns of non-zero distinct integral solutions. A
few interesting relations between the solutions and special numbers are exhibited.
Keywords: Integral solutions, non-homogeneous cubic equation with three unknowns.
17-22
XXXXXXXXXXXXX
4.
Integral Solutions of the Homogeneous Cubic Equation
M.A.Gopalan , V.Geetha
Abstract
The cubic equation 3 3 3 3 2 x y xy(x y) z w zw(z w) (x y z w)X is
analysed for its non-zero integral solutions. A few interesting relations between the solutions and
special numbers are exhibited. Keywords: Homogeneous equation with five unknowns, Integral solutions.
23-27
XXXXXXXXXXXXX
5.
Observations on Icosagonal number
M.A.Gopalan , Manju Somanath , K.Geetha
Abstract
We obtain different relations among Icosagonal number and other two, three and four dimensional
figurate numbers.
Keywords: Polygonal number, Pyramidal number, centered polygonal number, Centered pyramidal number,
Special number
Power screws are used to convert rotary motion into translatory motion. A screw jack is an example of
a power screw in which a small force applied in a horizontal plane is used to raise or lower a large
load. The principle on which it works is similar to that of an inclined plane. The mechanical
advantage of a screw jack is the ratio of the load applied to the effort applied. The screw jack is
operated by turning a lead screw. The effort required to rotate the screw can be eliminated by using a
12V DC motor to rotated screw of jack; which facilitate in easy replacement of tyre. Advantage of this
system is that it draws the energy from the battery of vehicle. For torque multiplication; generated by
motor two spur gear are used. A small gear is mounted on motor shaft and a large spur gear on power
screw of jack. Also we are looking for to increase the efficiency of motorized screw jack by varying
helix angle by which energy drawn by motor can be decrease.
A comparative study of Broadcasting Protocols in VANET
A.Noble Mary Juliet , Vijayakumar.S , Joan Pavithra.R , Kaleeswari.P
Abstract
Vehicular Ad-hoc Network (VANET) represents a challenging class of mobile ad-hoc networks that enables vehicles to intelligently communicate with each other and with roadside infrastructure. Reliable and efficient broadcasting in vehicular ad hoc networks is one of the keys to success for services and applications on intelligent transportation system. Many protocols have been introduced but none of them has been evaluated in realistic scenario. In this research, we discuss the reliable broadcasting protocols such as Distance Based Routing (DBR), Street cast and Acknowledgement-Based Broadcasting Protocols (ABBP) on VANET. Then, we evaluate performance of these protocols by simulation. From simulation result, we found a performance and problem in each protocol, which can lead to broadcast storm problem and inefficient operation.
This article presents an overview of recommendation systems and illustrates the present generation of recommendation techniques that are usually categorized into the following three main classes: Collaborative Filtering (CF), Content-Based Filtering (CBF), and Hybrid Recommendation approaches. This paper also describes several weaknesses of current recommendation techniques.
Using Fast Fourier Extraction Method Power Quality Improvement by Dvr for Unbalanced Voltage Sag-Swell Control
Subhro Paul , Satyajit Samaddar , Gautam Kumar Panda , Pradip Kumar Saha
Abstract
Voltage sag and swell is big problem in power system. Sensitive load has a severe impact on itself due to voltage sag and swell. Dynamic Voltage Restorer (DVR) is a power customed device used in power distribution network. Matlab is an advanced simulation software used for effective modelling and simulation of DVR. Compensation for the control of voltage in DVR based on dq0 algorithm has been discussed here. To appropriately control the control targets for compensation voltage control, firstly the power circuit of a DVR systrm is analysed. The design is simple. The Simulation results are carried out by Matlab/Simulunk to verify the performance of the proposed method.
Keywords: Power Quality, DVR, voltage sags/swells, VSI, Fast Fourier Extraction.
53-59
XXXXXXXXXXXXX
10.
Using Genetic Algorithm Minimizing Length of Air-Gap and
Losses along with Maximizing Efficiency for Optimization of
Three Phase Induction Motor
Satyajit Samaddar , Surojit Sarkar , Subhro Paul , Sujay Sarkar,
Gautam Kumar Panda , Pradip Kumar Saha.
Abstract
Optimization of three-phase induction motor using Genetic Algorithm (GA) is displayed in the
paper. Objective functions such as Air-Gap Length (Lg), SCL, RCL, SIL and efficiency are considered
here along with their individual plotting after optimization have been presented. The intense nonlinearity
of the motor stated here have been observed in mathematical form and hence forth solved using
MATLAB. To optimize performance of the Induction Motor the Genetic Algorithm method has been very
useful for this purpose. MATLAB is very powerful software which has been used here effectively.
Literature review: Iris Segmentation Approaches for Iris Recognition Systems
Ms. Sruthi.T.K
Abstract
A biometric system offers automatic identification of a human being based on the unique feature or characteristic which is being possessed by the individual. The iris segmentation has its own major applications in the field of surveillance, forensics as well as in security purposes. The performance of the iris recognition systems depends heavily on segmentation and normalization techniques. A review of various segmentation approaches used in iris recognition is done in this paper. The survey is represented in tabular form for quick reference.
Effects of Agreement on Trims on Indian Foreign Trade
Archana K.
Abstract
In the late 1980s, there was a significant increase in foreign direct investment throughout the world. However, some of the countries receiving foreign investment imposed numerous restrictions on that investment designed to protect and foster domestic industries, and to prevent the outflow of foreign exchange reserves. Examples of these restrictions include local content requirements, manufacturing requirements, trade balancing requirements, domestic sales requirements, technology transfer requirements, export performance requirements, local equity restrictions, foreign exchange restrictions, remittance restrictions, licensing requirements, and employment restrictions. These measures can also be used in connection with fiscal incentives as opposed to requirement. Some of these investment measures distort trade in violation of GATT Article III and XI, and are therefore prohibited. Until the completion of the Uruguay Round negotiations, which produced a well-rounded Agreement on Trade-Related Investment Measures, the few international agreements providing disciplines for measures restricting foreign investment provided only limited guidance in terms of content and country coverage. The Agreement contains transitional arrangements allowing Members to maintain notified TRIMs for a limited time following the entry into force of the WTO (two years in the case of developed country Members, five years for developing country Members, and seven years for least-developed country Members). The Agreement also establishes a Committee on TRIMs to monitor the operation and implementation of these commitments.
A Novel Approach to Mine Frequent Item sets of Process
Models for Dyeing Process using Association Rule Mining
Harendra Singh , Sitendra Tamrakar
Abstract
A noval approach of process mining provides a new means to improve processes in a variety of application domains these process mining techniques help organizations to uncover their actual business processes in this presented paper. Dyeing process using apriori algorithm. but apriori algorithm has some drawback like more execution time, can not handle the large amount of data Now, we propose modified apriori algorithm that applied in dyeing process model to generate frequent pattern and remove the drawback of apriori algorithm in term of execution time, handle the large amount of data. We proposed work Evaluating and analyzing the usefulness and application of the association rule mining algorithms and as it was implemented to obtain simpler process models for the dyeing domain. In view of performance the proposed algorithm for frequent patterns discovery are, it reduces the size of the database after second pass and, the storage space and saves the computing time. this Proposed work has an excellent performance for various kinds of application marketing,medicine,e-commerce,web mining,bio informatics to create frequent patterns, outperforms currently available algorithms in dyeing processing systems, and is highly scalable to mining large databases.
Keywords: frequent pattern mining dyeing process model, confidence, database, association rule
77-83
XXXXXXXXXXXXX
14.
Modeling and Analysis of the Crankshaft Using Ansys Software
K. Thriveni , Dr.B.JayaChandraiah
Abstract
Crankshaft is large volume production component with a complex geometry in the Internal Combustion (I.C) Engine. This converts the reciprocating displacement of the piston in to a rotary motion of the crank. An attempt is made in this paper to study the Static analysis on a crankshaft from a single cylinder 4-stroke I.C Engine. The modelling of the crankshaft is created using CATIA-V5 Software. Finite element analysis (FEA) is performed to obtain the variation of stress at critical locations of the crank shaft using the ANSYS software and applying the boundary conditions. Then the results are drawn Von-misses stress induced in the crankshaft is 15.83Mpa and shear stress is induced in the crankshaft is 8.271Mpa. The Theoretical results are obtained von-misses stress is 19.6Mpa, shear stress is 9.28Mpa. The validation of model is compared with the Theoretical and FEA results of Von-misses stress and shear stress are within the limits. Further it can be extended for the different materials and dynamic analysis, optimization of crank shaft.
Keywords: Crankshaft, finite element analysis (FEA), ANSYS Software, Static Analysis;
84-89
XXXXXXXXXXXXX
15.
Efficient Model for OFDM based IEEE 802.11 Receiver with Autocorrelation technique And CORDIC algorithm
To achieve compact spectral utilization with utmost efficiency in OFDM based WLAN receiver, Autocorrelator and CORDIC algorithm is used. This paper deals with simulation of these algorithms using Verilog HDL. An Autocorrelator takes care of frame synchronization, time synchronization, frequency synchronization by autocorrelating the received signal. CORDIC is an iterative trigonometric algorithm that performs vector rotations with one additional bit of accuracy for each iteration. It is used to estimate frequency offset by calculating the phase of the maximum correlating signal.
Keywords: Autocorrelator, CORDIC, frequency offset, Iteration, Synchronization.
90-97
XXXXXXXXXXXXX
16.
Traditional Uses Of Plants By The Tribal Communities Of Salugu Panchayati Of Paderu Mandalam, Visakhapatnam, District, Andhra Pradesh, India
S.B.Padal , P. Chandrasekhar ,Y. Vijakumar
Abstract
An ethnomedicinal survey was carried out in Parvathipuram, Agency, Vizianagaram District, and Andhra Pradesh, India. For documentation of important plants and information from local community about their medicinal uses. The indigenous knowledge of local traditional uses was collected through questionnaire and personal interviews during field trips. The identification and nomenclature of the listed plants were based on The Flora of Andhra Pradesh. A total of 95 plants species were identified by taxonomic description and locally by ethnomedicinal knowledge of people existing in the region. Plant specimens collected, identified, preserved and mounted were deposited in the department of botany, Andhra University, Visakhapatnam for future references.
Content Based Video Retrieval Using Cluster Overlapping
Deepak C R , Sreehari S , Gokul M , Anuvind B
Abstract
To retrieve videos from database efficient video indexing and retrieval mechanisms are required. In this paper, we propose an efficient algorithm to retrieve videos from the database when a video clip is given as a query. To efficiently match query video clip with the videos in the database various spatio-temporal features are used. Clustering algorithms are applied to extracted features for fast retrieval. Cluster overlapping method is used to retrieve relevant videos. Relevant videos are ranked based on the similarity measurement and frequency of query shots in the retrieved videos. Experimental result proves that proposed method has high precision and recall compared to conventional algorithms.
Keywords: DContent based video retrieval, key frame, video indexing, shot clustering
104-108
XXXXXXXXXXXXX
18
Effective and Secure Content Retrieval in Unstructured P2P Overlay Networks using Bloom Cast Technique
Priya Ponnusamy , M. Yoha lakshmi
Abstract
P2P network stands among one of the best and popular network tool. This technique made the sharing of contents through internet easier. For unstructured P2P networks Bloom Cast serves as an efficient technique for full-text retrieval scheme. In order to achieve a guaranteed recall at a communication cost of the network, Bloom Cast makes copies of the contents in the network uniformly at a random across the P2P networks. To encode the complete document the Bloom Cast utilizes Bloom Filters. To support random node sampling and network size estimation Bloom Cast utilizes its hybrid network which is a combination of a lightweight DHT and an unstructured P2P overlay. There are possibilities of malicious codes and false transactions in unstructured P2P networks. At times it generates false identities resulting in false transactions with other identities. The proposed method here uses the concept of DHT and reputation management which provides efficient file searching. For secure and timely availability of the reputation data from one peer to the other peers the self certification (RSA ALGORITHM and MD5) is used. The peers are here repeated in order to check whether a peer is a malicious peer or a good peer. The transaction is aborted at once a malicious peer is detected. The identity is attached to the peer that has reputation. The peers are provided with identity certificates which are generated using self-certification, and all of them maintain their own (and hence trusted) certificate authority which issues the identity certificate(s) and digital signature to the peer.
Keywords: Bloom Cast, Bloom Filters, MD5 with RSA Algorithm, Self-Certification.
109-114
XXXXXXXXXXXXX
19.
Master-Slave Speed Control of Double Induction Motor
Ahmed A.M. Emam , Eisa B. M. Tayeb , A.Taifour Ali , Musab M.S.A. Alshiekh
Abstract
Induction motor is one of the main sources of mechanical energy in industry; several applications use more than one motor to bear the high load. This paper is concerned with the design of a master slave control system responsible for synchronization between the different motors. The concept of the field oriented control (foc) is explained. PI-field oriented controllers are designed for two induction motors in master slave configuration. The proposed control system is simulated using Matlab/Simulink. The simulation results showed good synchronization between the master and the slave motors with acceptable tracking error.
Keywords: induction motor, synchronization problem, master-slave control, field oriented control (FOC).
115-118
XXXXXXXXXXXXX
20.
Cd-Hmm For Normal Sinus Rhythm
V.K.Srivastava ,
Dr. Devendra Prasad,
Abstract
To diagnose the cardiac abnormalities, it is important to detect and classify the cardiac arrhythmias. To
achieve this we have to use the specialized program tools and visual demonstrations of new methods, as
propagated by researcher from time to time. Our work is focused on classification of normal sinus rhythm
and premature ventricular contractions of the human heart. We are using the wavelets for the feature
selection and extraction (searching for a local maximum in the contour envelope successfully detects Rpeaks)
and Continuous Density Hidden Markov Models (CD-HMM) for the classification. The ECG data
is taken from standard MIT-BIH arrhythmia database.
GIS is a growing discipline in the field of information technology and is providing better solutions for the representation of the geographical data. Basically GIS means "A system for capturing, storing, checking, integrating, manipulating, analysing and displaying data which are spatially referenced to the Earth. This is normally considered to involve a spatially referenced computer database and appropriate applications software". The main objective of this paper is to Develop a Electricity utility Network Using GIS. The problem statement are following
Difficulty in fault management : time consuming and man power consuming.
Frequent thefts of electricity in current system.
Inefficient supply of electricity.
Unsystematic network expansion.
The geographical data is used for the purpose of studying and analyzing the current situation of any geographical region so that other aspects can also be analyzed surrounding that region, which may or may not be included in the attribute data. Hence it is being incorporated in different fields of research and analysis. In the field of managing electric power transmission and distribution GIS plays a strong role for both traditional and smart grid networks. when smart grid is applied over the electric network that time managing data using GIS becomes essential.
EGIS(Electric network geographic system) provides some important functionalities just like as
Show complete network distribution system of area.
Information about the Main power distribution centers and the sub power stations in local area.
Information about the every pole located in the area and the connections supplied from that pole.
Information about the connections supplied from the transformers located in particular
.png){kind=small}
