ARCHIVES(Journal of Harmonized Research in Engineering)


Title: DIABETES: A REVIEW OF DATA MINING TECHNIQUE FOR HEALTH CARE
Author: Sami Ahmad, Prof. Kailash Patidar, Mr. Rishi Kushwah, Mr. Jitendra Rai
Keyword: Data Mining, SVM, KNN–GA, Diabetes
Page No: 113-122
Abstract: Data mining now-a-days assumes a critical part in expectation of sicknesses in medicinal services industry. Data mining is the procedure of choosing, investigating, and displaying a lot of informatio n to find obscure examples or connections valuable to the data analyst. Medicinal data mining has risen faultless with potential for investigating concealed examples from the data collections of medicinal area. These examples can be used for quick and better clinical basic leadership for preventive and suggestive solution. However crude medicinal information is accessible generally circulated, heterogeneous in nature and voluminous for common preparing. Data mining and Statistics can on the whole work better towards finding concealed examples and structures in Data. A variety of data mining techniques help to envisage the disease such as SVM, PCA, GA etc. In this paper, we present the literature review of the earlier work done by the researchers to diagnose the diabetes also discuss the advantages and disadvantage of data mining techniques. Keywords: Data Mining, SVM, KNN–GA, Diabetes Download PDF


Title: A REVIEW AND COMPARATIVE ANALYSIS OF ENCRYPTION TECHNIQUEs
Author: Suchita Kumari, Akhilesh Bansiya
Keyword: Cryptographic, Encryption Techniques, secure transaction
Page No: 123-126
Abstract: Due to the rapid growth of digital communication and multimedia application, security becomes an important issue of communication and storage of images. Cryptographic algorithms play a vital role in providing the data security against malicious attacks. One of the most common public key algorithms in use for secure transaction is the RSA. Hence the goal to design an efficient architecture for RSA becomes more relevant. For high secure application they need to develop new algorithm to compute such mathematical operations which are involved in cryptographic algorithm. The following paper explores the history of RSA and the method. Keywords: Cryptographic, Encryption Techniques, secure transaction Download PDF


Title: INORDER AND PREORDER TRAVERSAL & DISPLAY OF EXISTING BINARY TREE IN COMPUTER MEMORY
Author: P K Kumaresan
Keyword: Binary Tree, Inorder, Preorder, Link List, Structure Pointer, Recursive Function, Data Structure.
Page No: 127-132
Abstract: Depending on three different sequences of traversal of a binary tree, we get its preorder, postorder and inorder form. Similarly depending on preorder or postorder along with inorder, the binary tree can be formed. In this paper, we try to implement, through coding a binary tree is formed physically not virtually in computer memory and also give a realistic view of a binary tree, already created in computer memory. Using inorder and preorder traversal of binary tree and takes the value of the level of the tree we are able to graphically represent any binary tree. Keywords: Binary Tree, Inorder, Preorder, Link List, Structure Pointer, Recursive Function, Data Structure. Download PDF


Title: EXPERIMENTAL EXAMINATION ON ELECTROCHEMICAL MACHINING PARAMETER FOR OPTIMIZATION
Author: Sunil Swami Dubey, Sumit Kumar Pamnani, S P Shrivas
Keyword: Electrochemical Machining (ECM), Material removal rate, Surface roughness, Overcut, Analysis of variance (ANOVA).
Page No: 133-137
Abstract: This paper deals with Electrochemical machining method to find the material removal rate, surface roughness and overcut by electrochemical dissolution of an anodically polarized work piece (AISI304 s tainless steel) with a copper electrode of hexagonal cross section. Experiments were conducted to analyze the influence of machining parameters such as feed rate, voltage and electrolyte concentration. Analysis of variance (ANOVA) is employed to indicate the level of significance of machining parameters. It is observed that concentration is the most significant factor for response of material removal rate and in case of surface roughness voltage is the most significant factor. For response of overcut, the voltage is most significant factor. The factors also affect the performance are discussed and elaborated. Key Words: Electrochemical Machining (ECM), Material removal rate, Surface roughness, Overcut, Analysis of variance (ANOVA). Download PDF


Title: INDUCTION MOTOR ROTOR FAULT DETECTION USING ENHANCED FEED FORWARD NEURAL NETWORK
Author: Sandhya Gotam, Prof. AlkaThakur
Keyword: Induction Motor, Induction Motor Fault ,Rotor Fault Analysis and Identification, Broken Rotor Bar, Artificial Neural Network and Diagnosing Techniques.
Page No: 138-143
Abstract: Induction motor rotor fault detection is one of hot topic in between researchers in the last decade. Reason beside this maintenance of induction motor is the major concerns in modern industry where f ailure detection on motors increases the useful life cycle on the machinery. Broken rotor bars are among the most common failures in induction motors. Early detection of faults in electrical machines are imperative because of their diversity of use in different fields. A suitable fault monitoring scheme helps to stop propagation of the failure or limit its escalation to severe degrees and thus prevents unscheduled downtimes that cause loss of production and financial income. Detection of broken rotor bar of induction motor with the help of ANN was the focus of the proposed work. The mathematical models of induction motor in both healthy as well as fault condition were developed in order to simulate the faults of varying intensity at different load conditions. Various parameters of induction motor are recorded in all the different conditions. These recorded parameters are used to train the Artificial Neural Network. The output of the ANN shows that proposed technique successfully detects the presence of broken rotor fault of induction motor. Shows better values 10-1 error at 10 epochs. Also discuss Response Time of proposed ANN detection is good as compare to other previous method. Mathematical model help of understand the basic model. The proposed shows good result as compare different methods of fault detection like SVM, fuzzy logic, DWT, FFT based. Keywords:- Induction Motor, Induction Motor Fault ,Rotor Fault Analysis and Identification, Broken Rotor Bar, Artificial Neural Network and Diagnosing Techniques. Download PDF


Title: ANN MODEL FOR PERFORMANCE ANALYSIS OF VCR SYSTEM WITH SUCTION PRESSURE, SUCTION TEMPERATURE, COMPRESSION RATIO AS INPUT PARAMETRE AND COP AS OUTPUT PARAMETER
Author: Rakesh Kumar Agrawal, G.K. Agrawal, A.S. Zadgaonkar
Keyword: ANN, VCR system, COP, Compression ratio, Suction pressure, Suction temperature.
Page No: 144-156
Abstract: Artificial neural network (ANN) network4 has been developed for performance analysis of simple vapour compression system for various values of suction pressure, suction temperature, compression ratio as input parameter and coefficient of performance as output parameter. 54 set of experimental data is used to train ANN, network4 and 06 set of experimental data is used to test ANN, network4. Value of experimental COP and that predicted by ANN network4 for the data used to test the network resemble close to each other with R2=0.999217, RMSE =0.163, COV=2.84%. In developed ANN model network4 , network type feed forward back propagation, Adaptation learning function LEARNGDM , Training function TRAINLM, performance function MES, , No of neurons 08, No of layers 01, and Transfer function LOGSIG, with other training parameter has been used to successfully train ANN network4. We accomplish ANN with developed network4 can be successfully applied for evaluating COP of simple vapour compression refrigeration (VCR) system for given value of suction pressure, suction temperature, and compression ratio as input parameter,& hence ANN may be very useful tool for performance analysis of refrigeration system. Keywords: ANN, VCR system, COP, Compression ratio, Suction pressure, Suction temperature. Download PDF