Volume 8 | Issue 9 |

 Abstract

Electrical Discharge Machining is a thermo-electric non-traditional machining process in which material removal takes place through the process of controlled spark generation between a pair of electrodes which are submerged in a dielectric medium. It is recognized as an efficient method of producing dies and machining of hard material such as ceramics and high strength metal matrix composites for the modern metal industry. In this investigation, response Surface methodology is used to investigate the effect of four controllable input variables namely: discharge current, pulse off time, pulse on time and gap voltage on material removal rate. In the present work, the experiments were conducted using response surface methodology, to ascertain the effect of EDM process parameters on material removal rate (MRR) of cast iron by using tool material Copper. The significant coefficients are obtained by performing analysis of variance (ANOVA). It is found that discharge current and pulse duration are significant factors. Surface methodology is a precision methodology that needs only 27 experiment to assess the condition.

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 Keywords

Electrical Discharge Machining, Material Removal Rate, ANOVA, Response Surface methodology

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During an affective decission making it has been an important point of curiosity to know the thoughts of others.Decisions made by either an individual or at organization levels are always accomplished by opinion of others� for the same. Opinions and sentiments can be studied and constructed well with the help of high-quality opinion mining and sentiment analysis formulation. A rich compendium of sentiments can be obtained through exponential grown opinion resources such as discussion forums, public reviews, micro to macro blogs, Facebook, WhatsApp, Telegram, Twitter, LinkedIn and many more. Sharing opinion in public became a craze among today�s generation. For an enhancement of services and products such feedbacks become crucial either for an individual or for organizations. Opinion mining helps in analyzing these huge collected reviews. In order to make the reviews easily understood by the users, these collected reviews are distinguished upon the emotions which are being expressed by the users, classification between them into negative and positive are carried out. Opinion mining is the most buzzed technical word in the trending technology which is attracting many researchers in order to solve the challenges which are being faced in it. In order to trace out the best in an item in terms of feature and quality can by achieve by effective sentiment tools and opinion mining. In this research paper a complete overview of opinion mining in sentiment analysis has been carried out along with the comparative approaches usingrecent methodologies, certain challenges which need to be addressed in this regard are also highlighted.

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 Keywords

Bayesian Network (BN), K-NN (K Nearest Neighbor), Machine Learning (ML), Maximum Entropy (ME), Multilayer Neural Networks (MNN), Na�ve Bayes (NB), Natural Language Processing (NLP), Neural Networks (NN), Opining Mining (OM), Pointwise Mutual Information (PMI), Sentiment Analysis (SA), Sentiment Orientation (SO), Support Vector Machines (SVM).

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Creative Commons Attribution 4.0 and The Open Definition

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Power saving , Electricity & UPS

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Abstract One hundred forty schoolboys belonging to the age of 12-17 years without having any participation in competition were selected randomly from different public schools of Delhi. Out of the target group of 140 students, 70 boys belonged to the age group of 12�14+ years and the rest 70 boys were in the of the age group of 15 � 17 years. In each age group, 35 boys formed the control group where as the remaining 35 boys formed the experimental group. After the pre test, the exercise training programme of 6 days a week and of one hour duration was administered to the subjects of the experimental groups and after five weeks mid test scores of all the four groups was recorded. Then again, the two experimental groups were administered exercise programme for another five weeks and the post test scores of all the four groups were recorded after ten weeks. The subjects of the control groups were instructed to do their routine works during this ten weeks period and were asked to appear only for the pre test, mid test and post test. The data collected was analyzed statistically to find out the differences in the pre, mid and post test scores of the subjects. The least significance difference test was applied to find the significance difference in the means of each group and for each variable. In the beginning there was no significant difference between the control and experiment groups in the two age groups i.e. 12-14+ yrs. and 15-17 yrs. In 12-14+ yrs. age group the agility of the subjects improved significantly only after 5 weeks of training. On the other hand, significant improvement was not found in the subjects of 15-17 yrs. of age group after 5 weeks of training. After 10 weeks of training significant improvement was observed between the subjects of experiment groups of both the age groups. In the 12-14+ yrs. of age group the means score decreased from 12.57 to 12.36 and in the other age group the means score reduced from 12.08 to 11.81 showing an improvement in the timing. The effect of exercise on agility of the subjects between the two age groups under study showed significant improvement in agility in all the levels of time intervals as the differences of means score were higher than the LSD values.

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physical Fitness, Agility

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The process of deforming the bloom into different shape and size based on the customer requirement.These deformation process done in blooming mill.The blooms attain final stage by passing various sections, such as blast furnace, reversible mill, continuous mill ,hotsaw etc.We took case study in each section. Based on this study, we finalized highest delay occur in hotsaw. So, we took several measures to prevent delays in hotsaw with best of our knowledge and company guidance.

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Blooming Mill, Machine & Manufacturing

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Abstract The present paper deals with Impact of geographical environment on man habitat of north kosi plans. North kosi plans is a part of kosi region. In political form this physical sub region is Sapaul ,Araria and Kishanganj district. This area located between 25024� to260 34�N latitude and 860 22�E to 880 32�E longitude extending over on area 077139 squire with a total population 51875534 according to 2001cens.There are three survey station in north kosi plans �(1) Sapaul (2 )Araria and (3) Kishanganj. An habitat survey for using different respect by people of this above area. The information of survey of impact of geographical environment on man habitat Of north kosi plans used as forest, agriculture, horticulture and floriculture for social and economic development by people of north kosi plain basin.

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 Keywords

Kew Words : Geographical environment, Man habitat, North kosi plans.

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COVID-19 is a highly transmittable and pathogenic viral infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which emerged in Wuhan, China and spread around the world. The intermediate source of origin and transfer to humans is not known, however, the rapid human to human transfer has been confirmed widely. There is no clinically approved antiviral drug or vaccine available to be used against COVID-19 till now. However, few broad-spectrum antiviral drugs have been evaluated against COVID-19 in clinical trials, resulted in clinical recovery. In the present review, we summarize available information regarding COVID 19 virus, its origin, epidemiology, mode of transmission, diagnosis, available treatment options, prognosis of disease, and challenges posed by the pandemic. we also discussed about the structure of coronavirus and coronavirus protein. Also, we highlighted about challenges and strategies of Pharma profession during COVID19 pandemic.

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COVID-19,Coronavirus, antiviral, Pandemic, Pharma Profession

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? First of all, in this pandemic circumstances stay home and stay safe yourself. Of course this pandemic Covid -19�s effect on GDP AND ALL SECTORS of the country but most important effect is on student�s learning and teaching tasks. There are so many ways of learning in which E- Global learning is the platform by different gadgets like computer, Laptop, Mobile on Internet. But it has two aspects as we all know that its rather than compromising learning. Students who can�t focus on study in real classroom can�t learn by virtual classroom. In the classroom teacher can keep eye on every student and make aware their parents for their progress .When E-learning provide you big global stage for teachers and students too., but some students cheat themselves by keep on gadgets and walk here and there.

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: Covid -19, Pandemic, Internet, Virtual class, E-Learning.

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The artificial intelligence (AI) system related research and concepts are changing with rapid pace and are becoming more and more important and relevant to the present needs. The concept of emotional intelligence is one of the primary concern for AI research. The interaction with human emotions intelligently is the need of the hour for the technology. The integration of AI with emotional intelligence systems should work along with humans. Emotions in humans is a multidimensional parameter and therefore could not be considered as a mechanism for enhancing intelligence. We have studied the emotional intelligence among the university students of different School of Studies. The issues related to technical competence have been discussed. A sample of 100 students (70 males and 30 females) drawn from 6 School of Studies has been considered. A questionnaire consisting of 16 questions was prepared and mailed to the students. The data collected was analysed. We observed that under the category of reading people, all the four variants namely self-analysis, analysis of others, self-expression and discrimination, the emotional intelligence is very high, more than 70%. All the four variants under the category using emotions, the emotional intelligence is very high, more than 80%. In case of judgement, the emotional intelligence was extremely high (90%). The three variants under the category understanding emotions, the emotional intelligence is very high, more than 80%. The three variants under the category managing emotions, the emotional intelligence is very high, more than 70%. In case of self-control, the emotional intelligence was extremely high (90%).

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 Keywords

Emotional Intelligence, Artificial Intelligence, Technical Competence

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Due to globalization of business, the organizations are forced to accept the information technology and system management. The organizations require to meet the expectation of stakeholders, competitive pressures, functional structure management, right kind of integration and flexibility between business operations. It helps the orgnaniation to maintain different currencies, language, tax policies according to which country their business operates. In this article supporting for an organization to phase wise considering factors. Because, the firms are investing heavily in ERP software development. It helps to the ERP consultant and ERP using companies for sorting out their problems in ERP Phases.

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ERP Theory � ERP Implementation � ERP Dimensions-ERP Reviews

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