Volume 12 | Issue 5

 Abstract

In this project, the turning of Steel SM45C, used for propeller shafts, will be performed on a lathe machine with a carbide insert tool. The goal is to optimize Surface Roughness and Material Removal Rate (MRR). Factors such as cutting speed, feed rate, and depth of cut are input parameters, while cutting force and tool vibration are responses. Experiments use 20 mm diameter and 100 mm length bars, based on an L9 orthogonal array design, with three process parameters. The Taguchi method and Analysis of Variance (ANOVA) are employed to analyse the data in MINITAB 21. This approach predicts optimal machining parameters and confirms results through a confirmatory test, highlighting the significance of these parameters on the response variables.

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 Keywords

Taguchi method, Orthogonal array, S/N Ratio, Process parameter, Surface roughness, Material Removal Rate (MRR), ANOVA (Analysis of Variance).

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The Vehicle Parking and Service Centers Locator app is a convenient solution designed to assist users in finding nearby parking facilities and automotive service centers. The app utilizes geolocation services to pinpoint the user's location and provides a comprehensive list of available parking lots and garages in the vicinity, along with relevant details. The app offers functionality to locate nearby service centers for vehicle maintenance and repairs. Users can search for service centers based on their specific requirements, such as car make, service type, and distance

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Vehicle, Parking, Service centres, Location.

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Heart disease is a significant global health challenge, and accurate prediction of cardiovascular disease is essential for effective clinical intervention. Leveraging machine learning (ML) techniques, we have developed a predictive model that incorporates advanced feature engineering. Through meticulous model tuning, we achieved a remarkable accuracy of approximately 92.7%. Our approach demonstrates the effectiveness of feature engineering and model tuning in enhancing the accuracy of heart disease prediction.

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 Keywords

Machine learning, heart disease prediction, feature engineering, feature selection, prediction model, classification algorithms, cardiovascular disease (CVD).

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A bio synthesis or Green synthesis of copper nanoparticles (CuNPs) is an interesting aspect in the field of these technology and is also inexpensive method for nanoparticles biosynthesis. But inrecently utilization of secondary metabolites from plant leafage excerption has emerged as a new technology for the synthesis of various nanoparticles. we are focused on green synthesis,the synthesis of copper nanoparticles and comparison the chemical process in CuNPs/peroxodisulfate (PDS) and CuNPs/peroxomonosulfate (PMS) process for degradation of Methyl Orange (MO). copper nanoparticles were synthesized by the Liquid leaf excerpt of Azadirachta indica (Neem). In Green synthesis Dye, initial pH and high temperature rapidly promoted the degradation of molecule. The degradation of MO in CuNPs/ Peroxosulfates system is sculptured as pseudo-first order mechanics and parameters were also determined. Sulfate radicals (SRs) (SO4%-) were also identified with copper as oxidative species using circumstantial alcohols. Moreover, nanoparticles of copper oxide are characterized through UV-Vis spectra, FTIR, XRD In the present study the formation and stability of the reduced CuNPs was monitored by absorbance spectra of UV-visible photometer at different stages during the synthesis process. Metal nanoparticles in the solution were monitored by UV-Vis spectro photometer analysis. Their peaks of CuNPs were determined with size and crystal shape and characterization. Apply green synthesis of CuNPs to enhance oxidation capacity of peroxosulfates for degradation of MO is a novel, efficient, promising and eco-friendly process and it does not require costly chemical agents.

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 Keywords

green synthesis, neem extract, azadirachta indica, CuNPs

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The main objectives was to analyze the working capital management and financial trend series with special reference to Tagros chemicals India limited. A efficient working capital management is imperative for sustaining competitiveness and ensuring financial stability in the chemical industry. This paper examines the intricacies of working capital management in the context of chemical companies, focusing on strategies to optimize liquidity, mitigate risks, and enhance profitability. Through a comprehensive review of literature, case studies, and industry insights, key factors influencing working capital management in the chemical sector are identified and analyzed. The study highlights the significance of effective inventory management, prudent credit policies, and streamlined cash flow management in maximizing operational efficiency and minimizing costs. By implementing tailored working capital management strategies, chemical companies can navigate the complexities of the industry landscape, capitalize on growth opportunities, and achieve enduring success.

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 Keywords

Working capital management, Inventory management, Financial stability, Cash flow management.

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Sugarcane cultivation in India faces challenges that impact farmers' economic viability and sustainability. This study examines issues such as labour shortages, lack of high-yielding varieties and fertilizers, stagnant yields, and pest problems. Using Stratified Random Sampling, 640 farmers from Krishna District, Andhra Pradesh, were surveyed. Data analysis shows significant challenges including labour shortages and poor access to quality inputs. Solutions include modernizing farming practices, improving input availability, implementing pest management, and promoting diversification. Supportive policies, better market access, and credit facilities are also crucial for enhancing farmers' economic conditions and sustainable agricultural development.

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Sugarcane cultivation, problems, labour shortages, high-yielding varieties

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In this paper, we introduce a Sanitization Robot Vehicle with UV light prototype using Arduino technology. This project outlines the changing landscape of robotics within healthcare and related fields, focusing on addressing the challenges posed by the novel corona virus disease. The primary objective of these robots is to reduce interpersonal contact while enhancing cleaning, sterilization, and overall support in medical settings like hospitals and quarantine facilities. By doing so, they play a crucial role in safeguarding medical personnel and actively contributing to pandemic management, thereby minimizing risks to their lives. The robot is outfitted with a range of sensors, UV-C light and disinfectant sprayers that enable it to detect high-touch surfaces and implement sanitation procedures efficiently.

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Arduino, DC Pump, Disinfectant sprayers, Sanitization robot, UV-C light.

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 Abstract

Premchand ka shaitya ,shahityatik visheshtaye ev jivan mulyo ka vishleshnatmak adhayan

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Premchand ka shaitya ,shahityatik visheshtaye ev jivan mulyo ka vishleshnatmak adhayan

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In the world of meteorological forecasting and atmospheric analysis, the integration of deep learning techniques has ushered in a transformative era, particularly in the analysis of satellite images. This study focuses on leveraging cutting-edge neural network architectures, such as Convolutional Neural Networks (CNNs), to extract intricate patterns, spectral data, and spatial features from satellite imagery. The primary goal is to facilitate precise estimation and forecasting of various weather parameters, including cloud cover, precipitation, and temperature fluctuations. The proposed system follows a systematic approach, encompassing phases such as image uploading, pre-processing, image processing, feature extraction, classification, similarity measurement, and weather prediction. Utilizing the Waterfall Model in the Software Development Life Cycle (SDLC), the project emphasizes rigorous testing, deployment, and maintenance for robust and reliable performance.

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Weather Prediction, Cloud classification, Content Based Image Retrieval, Convolutional Neural Network, Deep Learning, Data Preprocessing, Forecasting

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To evaluate the effects of Bergia capensis and Acalypha communis extracts on rats with diabetes brought on by streptozocin. The Euphorbiaceae family member Acalypha communis has historically been used in the treatment and/or management of a wide range of illnesses, including diabetes, jaundice, hypertension, fever, liver inflammation, dysentery, and respiratory issues. Bergia capensis is a tiny, annual herb that thrives in moist environments. It is a member of the Elatinaceae plant family, which is frequently found in seasonally flooded parts of tropical and subtropical countries. It is utilised in traditional medicine and folk rites. 42 male albino rats, weighing between 250 and 300 gms, were allocated into seven groups at random (n = 6). Both the aqueous and the ethanol extracts were diluted in tween 80 and then administered orally for a total of 14 days. On days 1, 7, and 14 of the treatment plan, blood samples will be taken by puncturing the retro orbital plexus while under mild ether anaesthesia. The estimation of glucose was done using plasma, while the estimation of the lipid profile, SGOT, SGPT, ALT, DB, TB, and creatinine was done using serum. The mean SE was used to express every piece of experimental data. The one-way analysis of variance (ANOVA) was used to examine the data. P values at or below the 0.05 threshold were deemed statistically significant. Liver enzymes such ALT, AST, ALP, and bilirubin were assessed in albino rats to examine the role of liver markers in diabetes mellitus (DM). The liver indicators SGOT and SGPT are strongly elevated in diabetic control.

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Acalypha communis, Bergia capensis, diabetes, and liver markers

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This article presents the economy of the Tangkhul Naga tribe as an egalitarian economy. The Tangkhul Naga tribe is one of the numerous sub-tribes of the Naga tribe inhabiting the Himalayan hill in Arunachal Pradesh, Assam, Manipur, Nagaland, and Myanmar. It is a paper that presents the tribe as a self-sufficient village community with very little contact with the outside world. They are agriculturists and were able to sustain themselves with what they cultivate and what nature provides in the wild. They were contented with who they were and what they had until the arrival of the missionary and exposure to the outside world. It was then that their needs and economic activities began to increase and the dependence on the outside world set in.

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Tangkhul Naga, self-sufficient, egalitarian, agrarian economy, dormitories, age set, barter system

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AI has the ground-breaking potential to promote creativity, boost productivity, and improve design process efficiency by integrating design thinking. In this article, the extent to which AI has affected design thinking is clarified. This research suggests that whether AI is acceptable, is subjected to the age and experience of the designer. This was followed by a comprehensive examination of professions who practice design using artificial intelligence. These are: professional designers; design students; instructors; and non-design students, the last who engage every day without knowing it. During the five stages of design thinking--empathize, define, innovate, prototype, and test--attributes such as demographics, awareness, adoption, and value perceptions regarding AI were polled through this survey. According to the survey's results, incorporating AI into various design thinking processes is crucial. Curiosity and thus extent of enthusiasm about benefits an AI could bring into the design process are higher among young or lower-level expertise in design. Conversely, advanced, or older designers would rather use traditional techniques in the phases of idea generation and concept formation but still use AI technologies in the last two stages of design process. This research provides good insights into the development of AI-driven design thinking. It advances our understanding of the role age and prior design experience play on designers' perceptions of how relevant AI incorporation within designing processes can be. The data will guide and help producing new design aids and training programs which make better use of AI technology considering what it means to be human designed products.

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 Keywords

Artificial Intelligence, Design Thinking, Creativity enhancement, Design innovation, AI adoption in design, AI-driven design thinking

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 Abstract

Hindu Dharam Darshan Ev Paryavaran Me Sambhandh

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Hindu Dharam Darshan Ev Paryavaran Me Sambhandh

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 Abstract

The proposed system is a web development platform that aims to teach learners the basics of web development through practical projects. The platform consists of several modules, including a roadmap, code editor, curated resources, and a set of projects designed to reinforce key concepts and skills. The platform is grounded in research on effective web development practices and incorporates best practices into each of its modules. The user interface is designed to be attractive and intuitive, making it accessible to learners of all levels. The platform will be regularly updated to reflect the latest trends and technologies in web development and will be supported by a team of experienced developers and educators. Overall, the proposed system offers a comprehensive and engaging approach to learning web development that can help learners build the skills they need to succeed in this field.

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web development, learning platform, project based learning, tutoring system

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The construction industry is witnessing a growing need for sustainable practices to minimize environmental impact and optimize resource utilization. This comparative study focuses on exploring the properties, characteristics, and applications of new aggregate and recycled aggregate in construction. New aggregate, derived from natural or artificially crushed rock, has been traditionally used as a construction material. On the other hand, recycled aggregate, obtained from the crushing of demolished concrete structures, offers a sustainable alternative by reducing the demand for new aggregate and minimizing construction waste.

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 Keywords

Aggregate, Recycled Aggregate, Coarse Aggregate, Sustainable.

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ABSTRACT: The East China Sea is a marginal sea. It is surrounded by China, Japan and Taiwan from different directions. In 1968, a United Nations survey reported that the East China Seabed has lots of unexplored resources of oil and gas. Notably, these resources are located where the water becomes deeper at Okinawa Trough. As per the above picture, Okinawa is far away from China's continental shelf and it is situated near the Ryukyu Island. But due to conflicting claims over the boundaries, the use of its resources has been prevented. This dispute is adversely affecting the relations between the countries involved in it. Although the principle of joint development has been proposed by Japan, Taiwan and South Korea, but that is also uncertain as how effectively it will work because it has been opposed by China. China and Japan have distinct but overlapping claims including where to set the limits of the sea boundary and sovereignty over some islands. On the other hand, China and Taiwan uphold corresponding titles regarding the islands. The present article will highlight the background of the dispute, the present situation and its implication on the relations between the involved countries. Most importantly, this paper will focus on what needs to be done in order to maintain international peace and security. Key Words; International Law, South China Sea, Continental shelf, International Disputes over territory International peace.

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International Law, South China Sea, Continental shelf, International Disputes over territory International peace.

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This research paper aims at understanding the possibility of generative design as a challenging tool for graphic designers by amplifying their creativity in the design process. The article does not only discuss the practical benefits, which are offered by generative design such as astonishing productivity in exploring wider ranges of designs variations, encouraging new idea generation through iterative exploration, and automating repetitive tasks that consume time. Nevertheless, this work also accepts and examines critically the existing constraints which surrounds generative design technology. These include AI's ongoing comprehension of basic concepts in designs, possible bias inherent in generated outputs and the demand for perfect combination with current professional design workflows. In anticipation, this document hypothesizes about the future developments in AI that will create more sophisticated designed outputs that are better connected to communicative goals and user experience. It further explores how designers can evolve in a world where generative designing is mainstream while stressing on human-AI collaborations and potential emergence of new-generation specialists whose focus is decided by these new trends.

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 Keywords

Generative Design, Artificial Intelligence (AI), Graphic Design, Design Creativity, Design Exploration, Design Automation, AI-Generated Content, Design Efficiency, Design Bias, Explainable AI, Human-AI Collaboration, Future of Design, AI in Design, Generative Design Tools, Design Innovation

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The proposed system is a whatsapp message analyzer that performs the users and group chat analysis. Analyzing the user behavior with the given messages will be needed in many situations whether it could for extracting the user interest, taking or picking up the point of discussion, understanding user attitude and behavior. By extracting the meaningful text from conversation, a summary of data can be generated to get the statics and summary of the conversation. With the application of machine learning algorithms, semantic analysis is done to get the meaning and summary of the messages. the system provides a valuable tool for users to gain insights into their WhatsApp chat history and understand their social interactions and communication patterns better. The project implementation is user-friendly and efficient, making it accessible to a wide range of users.

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 Keywords

whatsapp analyzer, text analysis, semantic analysis, chat summarization

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 Abstract

The purpose of this article is to forecast customer mobile number portability (MNP) intentions and customer satisfaction of telecommunication service in selected states of Nigeria, using Mobile Telecommunication Network (MTN) Nigeria as a case study. The research was propelled to empirically measure customer satisfaction before and after a successful network porting. The type of data used is primary and secondary, and their sources are from subscribers visiting the MTN Nigeria service centers in Rivers State, Abia State and Bayelsa State. The sampling technique applied for this study is the stratified random sampling via administration of structured questionnaire to 1200 selected respondents. Chi-square was used to confirm the significance of the variables. The result confirms that bad network, customer service, high tariff, value added services, quality of network service, customer satisfaction and behavioral intentions contribute to generating customer satisfaction and intention to port out of the network. The research also discovered other factors that can affect customer satisfaction and increase the switching intentions of customer which are Reliability, Responsiveness and Empathy. Drawing inferences from the results discovered through the analysis of the data from the various states within the study area, it is therefore recommended that a policy be passed to safe guard telecommunication facilities in all locations by engaging both the police and local community vigilante groups. It was also recommended that a close look into the activities of the industrial training fund (ITF) be investigated and they are mandated to make sure all customer service staffs are well trained adequately in their different areas of specializations.

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Mobile number portability, customer satisfaction, network porting, bad network, customer service, high tariff, value added services, behavioral intentions

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The present study aims to systematically review the sustainability awareness literature and comprehensively summarise the academic research in this field. The study examines the development of the research on sustainability awareness overtime in terms of year-wise publications, publication houses, countries, journals etc., thus contributing to the sustainability awareness literature and providing implications for policy makers in implementing strategies to enhance sustainability awareness.

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 Keywords

Sustainability, Sustainability awareness, Environmental, Economic and Social.

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