International Journal of Engineering & Mathematical Sciences
  (Print) 2319 - 4537
(Online) 2319 - 4545
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 Issue: 1(January - June), 2012
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 Issue : 1 (January - June), 2016
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 Issue : 1 (July - Dec.) 2016
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  Issue : 1 (July - Dec.) 2018
Volume 15 (2019)
 Issue : 1 (January - June), 2019
   International Journal of Engineering & Mathematical Sciences
IJEMS,Volume 10 (2016), Issue : 1 (July - Dec.) 2016    Collapse all | Expand all
1. Symmetry Analysis of Third Order Non Linear Ordinary Differential Equation which is Cubic in the Second Order Derivative
Author : George O. Opiyo Nyangwe, T. J. O. Aminer, N. and N. Omolo Ongati
Keyword : Lie symmetries analysis, group invariant, ordinary differential equations, Infinitesimal transformations, variation symmetry

Volume: 10,Issue: 1,PP: 1-12,Year: (2016)
The third order non-linear wave equation has been solved using numerical methods and in particular using finite difference approach. But numerical solutions are approximations depending on given initial and boundary conditions. This in itself is a restriction. To overcome such restrictions an analytical solution is desirable. One of the recently developed analytical methods is the Lie symmetry group invariant solutions. Yulia Yu Bagderina solved the equivalent problem of the third order differential equation quadratic in the second order derivative by use of their invariants. However the third order Ordinary Differential Equation (ODE) cubic in the second order derivative has not been solved. The objective of this study was to solve a special case of the ODE. F x, y, y, y, y  0which is a third order non-linear ordinary differential equation which is cubic in the second derivative using Lie symmetry Group Invariant Method. The methodology involved application of infinitesimal generators, prolongations (extended transformations), variation symmetries, adjoint symmetries, integrating factors and the invariant transformations of the problem. We have managed to find a general solution of the third order non-linear ODE of the form 3 y y y y           which is cubic in the second order derivative using Lie symmetry Group Invariant method. The result of this study has provided an alternative analytic method for solving the third order non-linear wave equation cubic in the second order derivative and other similar non-linear ordinary differential equations, which is better than the many numerical methods already used before this study. This is the main contribution to knowledge and further research.
2. Component Based Software Engineering applications: An Empirical study on Software Reusability
Author : Abdul Khadar Jilani & Prof. Syed Abdul Sattar
Keyword : Empirical Study, Software reuse, CBSE.

Volume: 10,Issue: 1,PP: 13-27,Year: (2016)
In this paper, I describe the results from my survey in the IBM Software development company in India in order to characterize developers‘ views on software reuse. I have used a survey followed by semi-structured interviews, investigating software reuse in relation to requirements (re)negotiation, value of component information repository, component understanding and quality attribute specifications. 25 developers participated in the survey and filled in the questionnaire based on their experience and views on software reuse. My study focuses on components built and reused in-house. The results show that reuse benefits from the developers view include lower costs, shorter development time, higher quality of the reusable components and a standardized architecture. Component information repositories can contribute to successful software reuse. However, I found no relation between reuse and increased rework. Component understanding was generally sufficient, but documentation could be improved. A key point here is dynamic and interactive documents. Finally, quality attribute specifications were trusted for the applications using reusable components in new development, but not for the reusable components themselves.
3. Exploring Hadoop Ecosystem for Finding Challenges in Handling Data in It Industry
Author : Aakrati Agarwal, Pankaj Sharma & Vyom Kulshreshtha
Keyword : Big Data, Hadoop, SQOOP, HDFS

Volume: 10,Issue: 1,PP: 28-35,Year: (2016)
Among the current trends in IT and Software industry- DevOps, Big Data, Cloud Computing, one of the most conspicuous progress has been made in Big Data Analytics. Thanks to the advent of social media giants, Twitter, Facebook, LinkedIn to name few, and e-commerce companies such as Amazon, "streaming" and "unstructured" data is now a real and happening thing, in fact, indubitably arduous, yet an interesting reality for Data Science enthusiasts. The fact remains, that even these companies were quite oblivious of potential data explosion they were capable of resulting, and the inevitable problems which they were going to face due to the famous attributes of Big data i.e. "volume", "velocity", "veracity", "variety", “variablility”, “value”. With this project and attempt is made to explore the components of Hadoop Ecosystem-Using recent high level programming language Python, further an attempt has been made to simulate current industrial and real world production application of Hadoop, Data cleaning & pre-processing stage, populating Databases as well as Hadoop distributed file systems, and finally Data Analysis and Data Visualization stage. From Data preparation to Data analysis and Data Visualization to gain some insight out of the raw data.
4. Numerical Solution of Dynamic Vibration Equation, 􀜠􁈷 􀵌 􀜛􀜍􀜋􀜐 􀜠
Author : H. A. Ochieng, T. J. O. Aminer and N. Omolo Ongati
Keyword : Numerical solution, dynamic vibration equation, stability, conservative, autonomous systems, restoring force

Volume: 10,Issue: 1,PP: 36-44,Year: (2016)
In this paper, we examine conservative autonomous dynamic vibration equation, f(x) = sech x which is time vibration of the displacement of a structure due to the internal forces, with no damping or external forcing. Numerical results using New mark method are tabulated and then represented graphically. Further the stability of the algorithms employed is also discussed.
5. Unsteady MHD Flow of Dusty Viscous Fluid through Porous Medium with Chemical Reaction
Author : Yogendra Kumar Sagar and Dr Rajeev Jha
Keyword : Unsteady, MHD, Porous medium, Thermal diffusion, chemical reaction

Volume: 10,Issue: 1,PP: 45-54,Year: (2016)
The purpose of the present problem is to study the effect of a chemical reaction on unsteady laminar free convection flow of dusty viscous fluid through porous medium along a moving porous hot vertical plate in the presence of heat source and thermal diffusion with mass transfer, taking into account the homogeneous chemical reaction of first order. The governing equations of motion are solved by finite difference technique. The numerical results are presented graphically for different values of the parameters entering into the problem on the velocity profiles of dusty fluid, dust particles, temperature, concentration profile and skin friction profile.
6. Process Failure Analysis and Risk Prioritization Using FMEA Method
Author : Saurabh Pradhan, Dilbagh Bhardwaj & Sachin Kumar
Keyword : CFT, FMEA, RPN, Risk, Supply Chain Management, Prioritization

Volume: 10,Issue: 1,PP: 55-59,Year: (2016)
These days, Supplier companies are facing lots of pressure from OEMs (Original Equipment Manufacturers) especially tier II and tier III levels in automotive manufacturing industry. This pressure is to improve the process and product quality. This pressure is not from nowdays only but it has increased spontaneously due to overall increase in global quality. These days’ companies are approaching towards zero ppm defects level. Ever since a lots of work has been done in the field of process quality improvement and FMEA is a part of it. In this paper we will see how the failures can be prioritize in a process on the basis of risk involves in it using the Failure Mode & Effect Analysis tool. This tool gives a ranking associated to the failure effect, causes occurrence and how easy or difficult it is to detect it . This ranking is given by CFT (Cross Functional Team) by using manual reference provided by AIAG (Automotive Industries Action Group). Using these rankings a prioritization list comes out as an output of FMEA on the basis of risks involved with failures in process. Main motive of this analysis is to review the literature in the field of various risk factors for supply chains to understand current practices and to help Industry to sustain its continue win in flat market where the competition is slit throat in current market. To complete this objective following steps have been performed: 1) Literature review on process risk as well as FMEA Method 2) CFT (Cross Functional Team in industry) inputs 3) A Failure Mode and Effects Analysis (FMEA) method is being used for getting risks Prioritizations.
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