Volume 9 | Issue 5

 Abstract

Vibration is the blight of any machine tool industries which creates improper surface finish of the work piece. In this project, an attempt has been made to analyze high speed gearbox used in high speed machining for vibration characteristics under dynamic conditions. Analytical calculations are carried out to arrive at the dimensions of gearbox based on the desired speed ratio. Withthe help of time history, mesh frequency spectrum and its harmonics, the dynamic response of high speed gearbox is studied through multi body analysis. Modal analysis andcritical speed of the high speed gearbox are carried out through simulating software for flexible bodies. Based on theresults, the design modifications are carried out to avoid resonance

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GEARBOX, VIBRATION, FEA, ANSYS.

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Fake news can be interpreted as falsified information or wrong facts presented in the newspapers, television news, online media with a spiteful intent to damage the reputation of a person, organization or any other society for personal or professional benefits. Few media outlets present incorrect narrative about prominent personalities to gain Television Rating Points (TRP's), to increase viewership to yield higher revenue, to smear a person to settle previous conflicts etc. Given the serious consequences that result a fake news article and its impact on formulations of key decisions in everyday life, it is necessary to come up with a resolution plan to stop the spread of fake news and handle it in a suitable manner. In this project, we try to resolve the problem of fake news by utilizing Natural Language Processing (NLP) which is a Data Science sub-branch to come up with a solution that can be used to classify the fake news.

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Logistic Regression, Multinomial Naive Bayes, Random Forest Support Vector Machine& XGBoost

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In present the Ladder chassis which are uses for making buses and trucks are C and Hollow Rectangular cross section type, which are made of Steel alloy. There are always possibilities of being failure/fracture in the chassis/frame. Therefore Chassis with high strength cross section is needed to minimize the failures including factor of safety in design. Basically C cross section type of chassis is used in buses and Rectangular cross section type moderate load vehicle where high strength is required. So we have taken Rectangular Box type cross section as well as c type cross section for making ladder chassis

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HEV

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The increasingly worldwide problem regarding rapid economy development and a relative shortage of energy, the internal combustion engine exhaust waste heat and environmental pollution has been more emphasized heavily recently. Out of the total heat supplied to the engine in the form of fuel, approximately, 30 to 40% is converted into useful mechanical work; the remaining heat is expelled to the environment through exhaust gases and engine cooling systems, resulting in to entropy rise and serious environmental pollution, so it is required to utilized waste heat into useful work. The recovery and utilization of waste heat not only conserves fuel (fossil fuel) but also reduces the amount of waste heat and greenhouse gases damped to environment. The study shows the availability and possibility of waste heat from internal combustion engine, also describe loss of exhaust gas energy of an internal combustion engine. Possible methods to recover the waste heat from internal combustion engine and performance and emissions of the internal combustion engine. Waste heat recovery system is the best way to recover waste heat and saving the fuel.

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TO DEVELOP AND AIR PREHEATER

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The hazardous nature of e-waste is one of the rapidly growing environmental problems of the world. The ever-increasing amount of e-waste associated with the lack of awareness and appropriate skill is deepening the problem. A large number of workers are involved in crude dismantling of these electronic items for their livelihood and their health is at risk; therefore, there is an urgent need to plan a preventive strategy in relation to health hazards of e-waste handling among these workers in India. Required information should be provided to these workers regarding safe handling of e-waste and personal protection. For e-waste management many technical solutions are available, but to be adopted in the management system, prerequisite conditions such as legislation, collection system, logistics, and manpower should be prepared. This may require operational research and evaluation studies. This present article deals with present status of E waste and predominant challenges of E waste in India.

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Environment, E-Waste, Handling, challenges

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Agriculture plays a vital role in the economy of Assam. Agriculture is the main source of occupation and livelihood support for 70 per cent of the rural population and more than 50% of total workforce directly or indirectly get employment from this sector. The contribution of the Agriculture (crops + livestock) sector to GSDP at current prices was 15.64% in 2019-20. Among major crops of Assam, rice plays significant role in the state economy. The soil, topography, rainfall and climate in the state are basically favorable for the cultivation of rice. During 2019-20, out of total major crops area of Assam 89 per cent of area belonged under rice cultivation. It was about 6.04 per cent of land area and contributed about 5.28 per cent of total rice production at national level. Another specialty is that the rice is traditionally-grown throughout the year viz. winter, autumn and summer seasons, with winter rice as the main crop. The area under autumn rice is 1.27 lakh hectares, winter rice is 18.78 lakh hectares, and summer rice is 3.96 lakh hectares during the year 2019-20. All the agricultural programmes have been assigned with high priority in the successive plan periods to maximize rice production. These efforts have no doubt contributed some transformation in the place of development under this sector, but much more still remains to be done to bring the situation compatible with other developed States of the country. The proposed study focus only on status and changing trend of rice cultivation among major food grains production in Assam which completely depends on secondary sources of data. The required data would collect from government publications, economic survey of state government, various journals and books.

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Agriculture, Cultivation, Occupation, Rice, Autumn, Summer, Winter, Workforce.

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Using the finite element (FE) approach, thin rectangular laminated composite plates are investigated under biaxial effect of in-plane compressive stresses. Applied in this work, the standard laminated plate theory (CLPT) cannot include shear deformations. According to this theory, each lamina shows linear elasticity and there is a total connection between layers that causes the laminate to be under plane strain. Extending the classical plate theory (CPT), the classical laminated plate theory (CLPT) asserts that the mid-surface normal stays straight before to deformation and maintains its straightliness post-deformation. This hypothesis is thus relevant only for the study of buckling in thin laminates. Fortran programming language has been created for this use. One may determine the convergence and accuracy of the answers given by a comparison of the finite element solutions for the biaxial buckling of thin laminated rectangular plates against different theoretical and experimental results. New numerical findings are obtained for in-plane compressive biaxial buckling to evaluate the impacts of the laminar scheme, aspect ratio, material anisotropy, fiber orientation of layers, reversed laminar scheme, and boundary conditions. Depending on the kind of end support used, the buckling load varies with the mode number at various rates. Moreover, it is shown that when the mode number rises the plate requires greater support.

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Laminated Scheme, Buckling Load, Laminated Composite, Boundary Conditions.

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The use of Artificial Intelligence (AI) inside enterprise resource planning (ERP) systems, namely in SAP Financial Accounting and Controlling (FICO), is significantly transforming the whole financial reporting domain. The use of AI-enabled apps presents a paradigm shift in the management of financial data, as it optimizes the precision, efficiency, and analytical capacities of reporting procedures. This study examines the integration and consequences of artificial intelligence (AI) technologies into the SAP FICO system, with a specific emphasis on their role in augmenting financial reporting capabilities. SAP FICO, an integral component of SAP's Enterprise Resource Planning (ERP) package, has historically been tasked with overseeing financial management functions such as general ledger accounting, accounts receivable/payable, and asset accounting. Nevertheless, the typical reporting systems used in SAP FICO sometimes need significant manual labor and are susceptible to human fallibility. In order to overcome these constraints, artificial intelligence (AI) effectively automates repetitive processes, including data extraction, purification, and validation. This automation process serves to reduce mistakes and allocate resources towards more valuable endeavors. One of the primary benefits of AI in SAP FICO is its ability to process vast amounts of financial data in real time, enabling more accurate and timely reports. AI-driven analytics tools can analyze complex datasets, identify patterns, and generate insights that are beyond human capability. This results in more informed decision-making and improved financial planning and forecasting. For example, AI algorithms can predict cash flow trends, optimize working capital management, and assess financial risks with greater precision. Furthermore, AI enhances the customization of financial reports. Traditional SAP FICO reports are often standardized, limiting their usefulness in addressing specific business needs. AI-enabled applications allow for the generation of highly tailored reports that reflect the unique requirements of different stakeholders. This level of customization is achieved through machine learning models that learn from historical data and user preferences, ensuring that reports are both relevant and actionable. Another significant advantage of AI in SAP FICO is the improvement in compliance and regulatory reporting. Financial regulations are becoming increasingly complex, and non-compliance can result in severe penalties. AI applications can automatically monitor compliance with various regulations, flagging potential issues before they escalate. By continuously scanning for regulatory changes and adjusting reporting processes accordingly, AI helps organizations stay compliant and reduce the risk of financial penalties. Moreover, AI contributes to enhanced transparency and auditability in financial reporting. Traditional reporting methods often involve multiple layers of manual processing, which can obscure the audit trail. In contrast, AI systems maintain detailed logs of all transactions and processes, providing a clear and traceable audit trail. This transparency not only facilitates easier audits but also builds trust among stakeholders by ensuring that financial reports are accurate and reliable. To summarize, the incorporation of artificial intelligence into SAP FICO is a big step forward in the field of financial reporting. Application software that is integrated with artificial intelligence has the potential to revolutionize the way in which businesses handle their financial data by automating regular activities, enabling flexibility, assuring compliance, and improving transparency. With the further development of artificial intelligence, it is anticipated that its function inside SAP FICO will increase, bringing with it even more advantages for improved financial reporting and decision-making.

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AI, SAP FICO, financial reporting, machine learning, automation, compliance, customization, real-time analytics, transparency, auditability

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This research article examines the integration and evolution of Stanislavski's Method Acting in contemporary Indian theatre. It explores its introduction in the mid-20th century, its profound impact on actor training, the adaptation to diverse traditions, and the challenges and opportunities it presents. This evolution balances the preservation of India's rich theatre heritage with the embrace of contemporary techniques, offering a vibrant and diverse future for Indian theatre.

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THE RESONANCE OF STANISLAVSKI: A STUDY OF METHOD ACTING'S INFLUENCE ON CONTEMPORARY INDIAN THEATRE

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Abstract The present study was undertaken in order to study the assessment the nutritional status of kidney stone patients (30-50 years). Investigation was conducted on 50 patients in Manohar ultrasound Centre (Rewari). The parameters studied were age, education, family type, income of family, water sources food intake, time period for occurrence of kidney stone, duration of pain nutrition related attitude and constraints; along with this Dietary assessment (Food consumption) , anthropometric assessment height, weight and BMI calculation was done to clear the picture of nutritional status of the subjects. It was revealed that 56 per cent patients were between 30-40 years age group and 44 percent patients were between 40-50 years age group. 96 percent patients were married and 4 percent people were unmarried.48 percent patients were related to joint family and 52 percent patients were related to nuclear family. 40 percent patients having 1000-5000 family income, 24 percent patients having 5000-10000 family income and 8 percent patients having above 15000 family income. 58 percent patients related to urban area. The food intake data show that 68 percent patients were vegetarian, 8 percent patients were non vegetarian 8 percent patients were non vegetarian and 24 percent patients were ovatarian, 30 percent had urinary tract infection and 70 percent had not urinary tract infection.

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Flavoring agents, Food habits, Anthropomrtric, Nephrolithiasis

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The aim of the research is to identify the relationship between Self-Concept and Academic Achievement of Migrated Children in Karnataka. Descriptive survey method along with and quantitative approach identified as type of research. A sample of 150 migrated children (5th standard to 9th standard) whose parents came to Bangalore from different districts of Karnataka was selected using stratified random sampling technique. Data was collected through Self-Concept Rating Scale was developed by Dr. (Mrs.) Pratibha Deo (1998) and academic achievement scores (in percentages) was collected from their school office records of migrated children along with personal proforma. The collected data was analyzed by 'r' test, and independent 't' test analysis. The level of significance was fixed at 0.05 level of confidence in all the cases. The results were obtained with the help of SPSS Package and MS Office applications. The 'r' analysis result confirmed that there was a significant positive relationship between Self-Concept and Academic Achievement of migrated children. The 't' test analysis shows that there was a significant difference in the Academic Achievement of migrated children having moderate and high & low and high self concept levels. It was inferred that the migrated children having higher self confidence level had higher achievement in academic when compared to moderate and low self concept levels. The result also confirmed that there was no significant difference in the Academic Achievement of migrated boys and girls. Further also shows that, there was no significant difference in the Self Concept of migrated boys and girls. Self-Concepts play an important role in guiding their later achievement. Students who have high Self-Concepts are more likely to take advantage of educational opportunities that may lead to academic success. Educationists, governments and policy makers have to realize the importance of one's expectations of the outcome and not only for children themselves, but also for family, teachers and the community in order to help them to support their kids, students and friends so, the children can realize their potential and expectations.

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Self Concept, Migrated Children, Academic Achievement, Gender, Significant

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The education sector is one of the most affected areas by the pandemic. It caused a huge chasm that could affect the teaching-learning industry in the future. Although it is possible to have deprivation in education, the concept must not be embraced. Instead, HEI should focus on developing new and innovative ways of delivering education constructively. This paper focuses on the importance of both research and teaching in education. The two areas are identified and analyzed respectively to adopt innovative methodologies to enhance productivity in a higher learning institute. This paper intends to propose relevant teaching and learning methods to benefit the students, the university, and society. This paper utilizes several factors involved in the pandemic crisis and suggests ways to use several methods to regenerate the learning environment without hassle.

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Education, Research, COVID-19, Pandemic, Deprivation, Innovation

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TOOL MONITORING SIMULATION USING MAT LAB

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Plitical Science

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Political

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Boil (Busoor) is a common skin disorder that affects both adolescents and adults. Boil affects about 85% of teenagers and may continue to adulthood. There are about two million visits to physicians per year for teenagers and the direct cost of acne treatment in the US exceeds $1 billion per year. Psychological, social, and emotional impairments that result from acne have been estimated to be equal and in some instances higher than that of diabetes, arthritis, epilepsy, and asthma. There is no ideal treatment for Boil (Busoor) until now. Conventional drugs are associated with recurrence of Boil and disastrous side effects on long?term usage. Unani medicines are gaining increased popularity due to their advantages, such as better patient tolerance, long history of use, fewer side effects, and relatively less expensive. Furthermore, they have provided good evidence for the treatment of a wide variety of difficult?to?cure diseases. More importantly, other than consumption as preventive or treatment remedy, they might be accompanied by synthetic drugs to reduce their side effects. Topical Unani drugs are an important part of the treatment strategy in dealing with Boil. Many Unani topical drugs with anti?inflammation, wound healing, and antibacterial activities are used in different ways in the treatment of acne and other infective diseases. The present paper presents a list of topical Unani drugs used in the prevention and treatment of Boil for centuries.

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Boil, herbal medicine, Unani medicine, Sign symptoms and prevention of Boil.

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Historian, demographic, desolation, chroniclers, Partition Literature, genocide

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???? ?? ?????? ?????????? ????? ?? ???? ?? ??????? ?????? ?????????? ??????? 1947 ?? ???? ?? ???? ??? ???? ?? ?????? ?? ??????? ??? ???????? ???? ?????? ?? ????? ??? ????? ??? ???? 10 ??? ??? ???? ?? ?? ???? 1.45 ????? ??????????? ?? ???? ??-??? ?????? ????? ????????? ???? ??? ??? ??? ???

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?????? ,?????-???????,???????????? ??????

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Inclusive Education for Educational Equality as Capability Equality

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The main aim of this paper was to compare machine learning algorithms used in controlling a wall-following robot. A robot seldom has access to a complete and precise representation of its surroundings; thus, it must often operate under uncertainty. Even the physical properties of a robot might be questionable when used in real-world applications since such attributes can change significantly in different ways [1]. The motors and the limbs may be destroyed or damaged, the sensors may be obstructed, or the components may be reassembled improperly after repair. These are all possible outcomes [1]. Following the execution of a given motor order, a robot may be unable to make accurate predictions about its location. For want of a better term, it does not understand the plant equation, which is the equation that explains the consequence of acts that have been performed on it. When it comes to robot recovery after its physical design has been modified, we are particularly interested in establishing an effective technique.

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Machine learning, wall-following robot, software development, Mobile Robot, Robot Control

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A major change has been noticed through this study, consumption of health-related news has increased double fold while entertainment, education and politics related news has reduced. COVID-19 pandemic affected news consumption,16.6% displacement of the readership, print to the newspapers also observed. TV news consumption has increased as before COVID 19 it was 68.5% and during lock down TV news consumption is 72.5%. Usage of social media and the online news has also increased during lockdown. 56% respondent stopped getting the newspapers, 23% due to fear of coronavirus infection through the newspapers, 14% respondent says hawkers are not coming. 21% says they were already reading the online version of the newspaper before the lock down so now they are not getting printed versions they are reading just online newspapers. News reading habits many times in a day has increased as earlier only 38.5% respondents were reading or viewing the news but during the lockdown it has increased to 60%. 76% respondent say they are getting the breaking news through the television.

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Reading Habits during Covid 19, Online Newspaper, News via Social Media, displacement of the readership, Print Media.

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