Short Comings of Present Education System and How to Make It Employment Oriented
The aim of any education system is to provide inclusive quality education and learning opportunities for all which ensures that a learner is eventually transformed into a good human being imbibed with moral and ethical values and is equipped with adequate employment skills (self-employment or job). In addition, the individual attains good communication skills imbibed with logical reasoning power and analytical powers so that his intellectual ability is not confined to his own field but can be used in any situation and in any field. Thus as a useful member of society, this pass out student, is ready to contribute to Gross National Income through any sector- agriculture, manufacturing, service or the education sector itself. However, the present system of education is not fulfilling the aim of education as enumerated in the first paragraph above. The pass out students of the present education system is not employment ready. The present examination system, which basically tests the cramming capabilities of students, is not appropriate to evaluate the skills/ knowledge acquired by the students. This paper discusses shortcomings of present education system and the changes that should be brought which will ensure that a learner eventually turns out as good human being imbibed with moral and ethical values and is equipped with adequate employment skills (self-employment or job) - thus ready to contribute to Gross National Income through any sector- agriculture, manufacturing, service or the education sector itself.
Published by: Col H. R. Ruhil
Author: Col H. R. Ruhil
Paper ID: V3I1-1193
Paper Status: published
Published: January 11, 2017
Establish the Value Stream Mapping for Lead Time Evaluation by Lean Concept
Toyota started practicing TPS (Toyota Production System) since 1950 successfully. Due to the success of TPS, Many companies across the world started using the same. Later in the 1990s. M. Womack and Jones gave the name it as a lean manufacturing. Lean manufacturing is now one of the most powerful manufacturing systems in the Competitive world. Numerous organizations around the world have implemented and adopted it to enhance their productivity through reduction and elimination of Waste. This project report is on understanding and implementation of one of the Lean tools which are; Value Stream Mapping, for Directional Control Valve in Bosch Rexroth (India) Pvt. Ltd. – Sanand Plant, Ahmedabad. Value Stream Mapping is a lean tool to identify the value added and non-value added activity during the production. Using this, identify the Waste and removing it along the processes which are based on the principle of Bosch Production System. (TPS – Toyota Production System) This intends the checking of the Inventory level during the process of Manufacturing and Assembling of the products.
Published by: Nirali Pandya, Ketan Dhruv, Pratik Kikani, Dr. G. D Acharya
Author: Nirali Pandya
Paper ID: V3I1-1192
Paper Status: published
Published: January 11, 2017
An Intelligent Scientific Workflows Failure Prediction Model using Ensemble Learning Technique
Cloud computing is a distributed computing paradigm which is considered as the computing platform that is going to be the pioneering field for the next ten years. Apart from several industrial, business applications being deployed, this paradigm is additionally attracting several scientific communities to utilize the services of the cloud for running massive scale knowledge and computation intensive applications like a montage, that is employed in astronomy. workflow is defined as a group of task and dependencies between the tasks that are used for expressing numerous scientific applications. The main issue in running these workflow applications is mapping the tasks of the workflow to an appropriate resource in the cloud environment. Scheduling these workflows in a computing environment. To overcome these failures, the workflow scheduling system should be fault tolerant. The fault tolerance by using replication and resubmission of tasks supported the priority of the tasks. The replication of tasks depends on a heuristic metric that is calculated by finding the trade-off between the replication issue and resubmission issue. As scientific workflows scale to many thousands of distinct tasks, failures because of the software package and hardware faults become progressively common. We study job failure models for data collected from different scientific applications, by our proposed framework. In particular, we show that the Ensemble Learning classifier can accurately predict the failure probability of jobs. Failure prediction models have been implemented through machine learning approaches and evaluated performance metrics. The models allow us to predict job failures for a given execution resource and then use these failure predictions for two higher-level goals: (1) to suggest a better job assignment, and (2) to provide quantitative feedback to the workflow component developer about the robustness of their application codes.
Published by: Parminderjeet Kaur,
Author: Parminderjeet Kaur
Paper ID: V3I1-1189
Paper Status: published
Published: January 10, 2017
Bioprospecting of Neem for Antimicrobial Activity against Soil Microbes
The Present studies were carried to evaluate the antimicrobial activity against soil microbes which causes corrosion on buried metal in acidic mediated soil by agar well diffusion using aqueous and ethanol extract of Neem leaves. These plants were subjected to solvent extraction with water and ethanol on increasing the polarity to identify and isolate the antimicrobial active materials. Crude aqueous extract of Neem has significantly inhibited the important microbes which causing corrosion such as S. Aureus, Streptococcus, B. Subtitles, Lactobacillus, Proteus, Corynebacterium, Pseudomonas, A.niger, Mucor and Desulphovibro sp. Results of the present studies investigation suggest that Neem is important effective plant for further work on isolating and characterizing of antimicrobial active materials.
Published by: R. Prasanna
Author: R. Prasanna
Paper ID: V3I1-1187
Paper Status: published
Published: January 10, 2017
Case study: Climatic Changes in Three Major Cities
Climate change refers to changes in modern climate, including the rise in average surface temperature. Using the obtained meteorological data such as temperature, wind & precipitation and comparing satellite images of these 3 cities, shows an increase in average temperature and decrease in precipitation over the years, it also shows a rapid decrease in green cover in all three cities. Human activities such as deforestation and exploitation of other natural resources are one of the leading causes of the rapid changes in climate and its effects over the past century. To get a general idea of the people’s perception of all this, a survey was conducted by us and the statistics of the survey is analyzed.
Published by: Anirudh Itagi
Author: Anirudh Itagi
Paper ID: V3I1-1186
Paper Status: published
Published: January 10, 2017
Strategic Memory Alzheimer’s Rehabilitation Training (Smart) Memory Program: Temporary Improvement For Mci/Vci Via Systematic Novel Cognitive Exercise
Dementia is a growing worldwide phenomenon, impacting more than six million people in the United States. Despite its high projected prevalence, it is a significantly under-represented phenomenon, with estimates ranging from 15-25% of the general population. The effect of the aging of the population and significant increase in life expectancy has combined to catapult dementia into the range of one of most alarming healthcare problems. The SMART Memory Program is a cognitive intervention designed to help promote the reduction of mild cognitive impairment (MCI) and early-stage dementia. Although it has been found useful in all forms of dementia, it is particularly useful in amnestic-type MCI. A longitudinal study examined 356 clients (220 females, all amnestic-type MCI) across an approximate two-year span. Results revealed an improvement of approximately 3 MoCA points at the conclusion of a program session. Particular improvements were noted in delayed recall. These results were found to be particularly beneficial secondary to the advent of the Kirtan Kriya methodology.
Published by: Dr. John W. DenBoer, Dharma Singh Khalsa
Author: Dr. John W. DenBoer
Paper ID: V3I1-1182
Paper Status: published
Published: January 9, 2017
