Volume 11 | Issue 12 |

 Abstract

The Electrification of the transportation sector is one of the viable solutions in minimizing the carbon emission over the atmosphere. Due to the rapid growth of electric vehicles in the market, electric vehicle charging stations are in demand among electric vehicle users. As charging of electric vehicles takes a long time, prebooking of charging slots can be done to avoid the waiting time. Artificial intelligence leverages computers and machines to mimic the artificially problem- solving and decision-making capabilities of the human mind. In general AI is a field, which combines computer science and datasets, to enable problem- solving. In the existing system, the requests are handled on First Come First Serve basis. The complexity of using FCFS is its long wait times. In the proposed system, the complexity of FCFS is overcome by using the round-robin scheduling algorithm which allocates slots based on predefined time intervals. Therefore the availability of free booking slots is known to the user. KNN Algorithm is used to find the nearest charging station. The proposed system will result in the reduction of waiting time and good accuracy.

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The Electrification of the transportation sector is one of the viable solutions in minimizing the carbon emission over the atmosphere. Due to the rapid growth of electric vehicles in the market, electric vehicle charging stations are in demand among electric vehicle users. As charging of electric vehicles takes a long time, prebooking of charging slots can be done to avoid the waiting time. Artificial intelligence leverages computers and machines to mimic the artificially problem- solving and de

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 Abstract

The proposed new system contains many activities that try to automate the entire process by keeping database integration. This offers a sophisticated user interface for interacting with the offered applications. It offers the personnel rest areas as well. It creates a breakdown bill and gathers data from the service centre. It is simple to allocate the services to the service team. Clients and regular users receive all service details, and all users receive authentication. It also makes the feature of complaints and responses easier. A CRM is a group of individuals, procedures, programmes, and online tools that assist a business in efficiently and methodically managing its customer relationships. CRM seeks to maximise product and service sales while comprehending and anticipating the demands of both present and future customers in order to boost customer loyalty and retention. CRM refers to the management of customer relationships. It's a tactic to gain greater insight into the wants and desires of clients so that you can build closer bonds with them. After all, the foundation of any successful firm is a strong customer base. Although CRM has a lot of technological components, it would be incorrect to conceive of CRM solely in terms of technology. CRM is best understood as a process that assists in assembling a variety of data regarding customers, sales, marketing efficacy, responsiveness, and market trends.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CRM, customer engagement, customer retention

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Creative Commons Attribution 4.0 and The Open Definition

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In today's digital age, the ethical implications surrounding individual privacy in the realm of social media have become a topic of significant concern. This study aims to conduct an in-depth analysis of the ethical dimensions associated with the use of social media platforms, with a specific focus on the city of Chennai, India. Furthermore, the study investigates the role of social media companies in safeguarding user privacy and their adherence to ethical standards in data handling.Through this research, it is anticipated that a comprehensive understanding of the ethical challenges and value of individual privacy in the context of social media in Chennai will be achieved. The findings of this study will contribute to the development of recommendations and strategies for individuals, social media platforms, and policymakers to better protect and respect the ethical dimension of individual privacy in the digital age.children.Empirical research is used for the study . The methodology used by the researcher is a convenience sampling method to collect the samples. The sources used are primary source such as questionnaires,surveys and secondary sources such as books and journals.The total sample size collected through questions is 202.The statistics tools used by the researcher are bar graph.

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 Keywords

Ethical dilemmas,breaches,policymakers,recommendations,strategies

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Bianchi type-III cosmological models within the frame work of f(R,T) gravity have been investigated in the presence of Lyra's geometry. To obtain the solution of the field equation with f(R,T) gravity based on Lyra's geometry, we consider second case of the f(R,T) model i.e. f(R,T)=f_1 (R)+f_2 (T), where R is the Ricci scalar and T is the trace of the source matter. Here we consider (EoS) state of the form p=?? where ? is a constant. The physical parameters have studied in this paper.

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Creative Commons Attribution 4.0 and The Open Definition

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Bianchi type-III, Lyra's Geometry, f(R,T) gravity

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Each year, several tomato plant illnesses cause farmers to lose money and squander their crops. These diseases of the tomato plant are not easily known. Though tomatoes can be purchased, we will never know the status of the tomato plant. To overcome this and to make farmers and consumers have a happy and healthy life, we can design a web application that detects the status of the tomato plant. Our research focuses on the construction of a strong and accurate classification model capable of identifying several illnesses affecting tomato leaves, including early blight, late blight, bacterial spot, and mosaic virus. We deployed a diversified dataset comprising high-resolution photos of damaged and healthy tomato leaves, obtained from different places and under varying environmental conditions. The results illustrate the model's high accuracy, sensitivity, and specificity in differentiating between distinct tomato leaf illnesses and healthy leaves. The project seeks to develop a web application that leverages image classification using convolutional neural networks (CNN) to help tomato growers detect and prevent plant illnesses, which are a major cause of economic loss and crop waste. The program will enable farmers to upload a picture of their tomato plants and obtain an immediate evaluation of whether the plant is healthy or infected. By doing so, we can become familiar with the position of the particular tomato and the tomato plant. The technology stack for this project will contain TensorFlow for model creation, data augmentation, and the TF dataset, as well as React JS, which is used for front-end development, and Flask for back-end development.

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 Keywords

Deep Learning, Model Building, Image Processing, Convolutional Neural Network, Web Development

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Creative Commons Attribution 4.0 and The Open Definition

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As we look around, we can see that the world is constantly changing, and this can be particularly challenging for young people. There are many stressors that can impact their well-being and development, including family conflicts, peer interactions, socio-cultural components, and physical and mental health risk factors. Unfortunately, the impact of these stressors can be severe and long-lasting, with research indicating that many young people struggle with depression, anxiety, and even suicide due to these challenges. To address these issues, it is crucial that we rethink the purpose of higher education. Rather than just focusing on academic performance or job creation, colleges need to prioritize the well-being and happiness of their students. By implementing a curriculum that fosters emotional intelligence, we can create a more nurturing environment that promotes growth and development. This approach will help young people to not only succeed academically but also develop a deeper understanding of themselves and others. As educationists, we can work together to create a better future for our young mass. By focusing on their well-being and happiness, we can create a more balanced and supportive environment that promotes growth and development. The implementation of the Happiness Curriculum in the higher education framework is one way to achieve this goal. It is unacceptable that India ranks as low as 122 out of 155 countries evaluated in the 2017 World Happiness Report. As a developing country, it is imperative that we provide our people with every opportunity to succeed, and this includes a curriculum that not only promotes academic excellence but also fosters happiness, confidence, and self-awareness among students. The launch of the Happiness Curriculum is a positive step in this direction, and it is crucial that we implement this curriculum in higher education. A 'Happiness Curriculum' will offer students enrichment opportunities, self-learning, peer-learning, and group learning, and will ensure that they are better equipped to face the challenges of the future.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Youth, Unhappiness, Modern Society, Social Pressure, Happiness Curriculum

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract In this article, we aim to demonstrate that the work of Christian educational institutions in various parts of India has been effective without any negative intentions. Educational development is found to occur where institutions are active, especially among those who are deprived, poor, exploited, and excluded from mainstream society. The institutions have given hope to these individuals, who have been striving to assist in educational, social, economic, and political ways. This research, based on the empirical studies of two taluks, namely Mysore and Heggadadevanakote, in the Mysore district in Karnataka State, concerning the role of Christian educational institution schools in tribal education, found many issues of relevance. 2020-2021 saw the collection of data from students between the ages of 6 and 14. Other groups of individuals were also included in the data, including NGO representatives, tribal and non-tribal people, local leaders, administrators, and elected representatives. It endeavors to concentrate on areas of study that are not yet explored. Christian institutions in educational development in the State of Karnataka, India have been empirically examined in the paper for the first time. The various forms of their contribution to educating the tribal people of Karnataka can be understood through this study, which has policy implications. The H.D. Kote taluk of Mysore district was confirmed by this study. Due to only one government school in this taluk, the education level of the tribals was significantly lower than that of Mysore.

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Keywords: tribal education, Christian institutions, pragmatic work , Karnataka

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Creative Commons Attribution 4.0 and The Open Definition

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Marketing of traditional and handmade products become very complex and strategic view to create a market for them. The Handloom industry has contributed many credits to the Indian economy with its unique and specialized work. Therefore, it is the second largest sector that provides employment for rural people after the agriculture sector and increases foreign exchange earnings by attracting the global market. However, the industry is not free from sickness and which is highest compared to other traditional and small rural-based industries. The Government of India has initiated many programs and welfare schemes to recall the historical importance even in the globalization process. The main intention behind this is to safeguard the interest of stakeholders through strategic arrangements for marketing of their final outputs. In this background, the Government has created proper backward and forward linkages to avoid hurdles in supply chain management. This paper carries important strategies developed by the Governments for appropriate marketability and parking of handloom products both in domestic and international markets. The paper is developed based on personal interviews with handloom weavers, Government officials, and respective stakeholders. However, the majority of work is being done from secondary sources of data. Finally, the paper enlightens on strategies adopted for marketing handloom products and concludes with for and against the policy measures.

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 Keywords

Government, Handloom, Marketing, Strategies, Supply-chain

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

National dye is found from natural source such as from plant animal and mineral. Natural dyed cloth is more eco-friendly product. It is giving non-toxic, chemical free product and this does not harmful environment nature. In this study dyeing of cotton fabric with natural dye from Haldi, Anar, Katha extract. To know the effect of natural and chemical modern fixation of dye cotton fabric and fastness to repeated washing. The study adopted an experimental method. 100% cotton fabric(bleached) were taken for sample. The process of mordanting is done for increasing colour fastness of natural dye. Each mordant give different shades and its fastness is also different. The fastness of a natural dye on cotton fabric can be increased by using alum or potassium dichloride and or vinegar during pre-mordanting and mordanting process. Dyeing through National dye avoid pollution in the atmosphere and it is also cheap. In view of these advantage use of natural dye should be promoted.

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Natural dye, Mordant, Shades, Fastness, Washing

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Creative Commons Attribution 4.0 and The Open Definition

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A wafer, a thin semiconductor slices crucial for microelectronic devices, notably in integrated circuits (ICs), plays a fundamental role in various industries, such as computing, solar cells, and optics. We created a machine learning model utilizing Python, Flask, and PyCharm, as well as Random Forest and XG Boost Classifiers to anticipate the need to replace wafers based on sensor inputs. Wafer fault detection is essential in semiconductor production, enhancing fabrication yield by identifying non-functioning wafers. The dataset includes wafer names and 590 sensor value columns, with the last column indicating "Good/Bad" status, transmitted in batches for analysis. The two classes, +1 and -1, signify the working condition and the need for replacement, respectively, ensuring efficient identification and prediction of faulty wafers without impacting other resources

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

wafer, integrated circuits, computing, machine learning model, fault detection, sensor inputs, classification, replacement.

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Creative Commons Attribution 4.0 and The Open Definition