Volume 10 | Issue 4

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Micro Electromechanical Systems (MSME), Microcontroller(Arduino Uno), Bluetooth Module(HC-05), L293D Motor Driver

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: - It is the constitutional obligation of the government of India to provide for equitable education facilities for the public at large. This constitutional obligation in turn necessitates incurring public expenditure to achieve the objective. The subject matter of education appears in the concurrent legislative list of the constitution. Union and State governments therefore have joint responsibility for education. Since the last three decades India has been spending around 4% of GDP on education. In the first Policy on education adopted in 1966 the recommendations of the Kothari Commission were accepted to raise spending on education up to 6% of GFP. This target adopted in the first education policy has however not been actualised until now even though the country has promulgated two more education policies since then in 1986 and 2020. The new education policy 2020 also envisages spending 6% of GDP on education. This study is concerned with the magnitude of public expenditure incurred on education both by central and state governments under revenue and capital heads. We find that revenue expenditure on education has consistently been more than the capital expenditure which implies that governments have been spending less on development of educational infrastructure. We also find that Central Government expenditure on education has been less than that incurred by various state governments.

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Keyword - Public expenditure, education, GDP, revenue expenditure, capital expenditure etc.

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Creative Commons Attribution 4.0 and The Open Definition

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The thesis focuses on solving the problem of indoor localization using Bluetooth technology. This work shows how to build localization system using Bluetooth 4 standard. It offers practical solution for indoor localization with detailed description of developed algorithms. Based on Bluetooth RSSI (Received Signal Strength Indication) strength, position of nearby smart phones is identified. A process to generate more test points is proposed here. These test points are then exploited to choose the near points and to determine the target final location. Implementation of such localization scheme is done for an indoor setting and the presence of obstacles on signal propagation is investigated. The distance calculated on the basis of RSSI is compared with actual distance to show the effect of RSSI variation on localization.

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Estimate Distance

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Creative Commons Attribution 4.0 and The Open Definition

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The customer review is important to improve service for company, which have both close opinion and open opinion. The open opinion means the comment as text which shows emotion and comment directly from customer. However, the company has many contents or group to evaluation themselves by rating and total rating for a type of services which there are many customer who needs to review. The problem is some customers given rating contrast with their comments. The other reviewers must read many comments and comprehensive the comments that are different from the rating. Therefore, this paper proposes the analysis and prediction rating from customer reviews who commented as open opinion using probability's classifier model. The classifier models are used case study of customer review's hotel in open comments for training data to classify comments as positive or negative called opinion mining. In addition, this classifier model has calculated probability that shows value of trend to give the rating using naive bayes techniques, which gives correctly classifier to 94.37% compared with decision tree Techniques.

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Creative Commons Attribution 4.0 and The Open Definition

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open opinion; customer review; opinion mining; naive bayes; decision tree

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By reducing loss adjustment costs, improvements in the First Notice of Loss and the speed with which claims are examined and evaluated might save a lot of money in the automobile insurance claims process. Car damage is automatically identified and classified using advanced picture analysis and pattern recognition technology. A technique that compares before-and-after-accident car images to automatically detect the damaged location.

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Convolution Neural Network, Deep Learning, Image classification, R-CNN and object detection.

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Keywords: - Metal Matrix Composite, Aluminum Alloy7075, Silicon carbide, Stir casting, ultra-sonic dispersion.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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RFID, credit cards, contactless, vulnerabilities

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Geographic Information System (GIS); Multi-criteria Evaluation (MCE)Analytic Hierarchy Process (AHP); UrbanDevelopment; urban expansion

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords - HTML, CSS, JAVASCRIPT, PHP

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Creative Commons Attribution 4.0 and The Open Definition

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Use of computational strategies in the field of medication has been an area of extraordinary exploration as of late. This paper proposes an efficient technique for automatic detection of the tympanic membrane / eardrum in an endoscope image. All this time, the examination of the eardrum is done manually by a doctor to possibility for human errors. Then we need a system to help doctors diagnose the eardrum. Hence automatic detection of these diseases through computational techniques would be a great remedy. In this proposed work, order and discovery of exudates in shading tympanic membrane images utilizing computerized procedure have been proposed.

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Neural network, Microsoft excel, MatLab, normal and diabetic retina scan images.

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The human brain's capacity to address a wide variety of issues is a fantastic gift that encourages scientists to begin on the ai - based revolution and apply it to a diverse range of applications. The proposed technology is a promising chessboard that, like the human brain, predicts the next placement of every chess piece based on recent game circumstances and prior learning or experience. It includes Artificial Intelligence and a player. The goal will be for Artificial Intelligence to interact and think like humans. Automation has been originally conceived to surpass humans in pre-calculated techniques that might be tiresome and predictable. Artificial Intelligence, on the other hand, can provide decision-making power to make different movements and learn new. It uses artificial intelligence techniques as with the Minimax Algorithm and the Monte Carlo Algorithm to acquire the maximum payoff and benefit over the opposition in the current situation.

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Chess, Artificial Intelligence, Predictions, Minimax Algorithm, Monte Carlo Algorithm

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There has been much recent discussion on what distribution systems can and should look like in the future. Terms related to this discussion include smart grid, distribution system of the future, and others. Functionally, a smart grid should be able to provide new abilities such as self-healing, high reliability, energy management, etc. From a design perspective, a smart grid or a smart electric distribution system will likely incorporate new technologies such as advanced metering, automation, communication, distributed generation, and distributed storage.

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distribution system, self-healing, smart grid, distributed storage.

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When dealing with real estate, whether you buy, sell or invest in real estate, you need a physical investigation. However, in this sudden pandemic situation, government regulations prevented the entire process mentioned above to be carried out. In our project, we want to help people who are planning to buy or sell a home or a particular property by informing them about the price range and safely planning the finances of the same home. In addition to forecasting real estate prices, it is also useful for real estate investors to know the trends in real estate prices at specific locations. Predict accurate prices based on statistical analysis comparisons and comparative market analysis with other similar properties, taking into account preliminary factors such as sale price, area quality, market, average property age, population area, address, etc. increase. This model uses machine learning techniques to curate them into ML models that can serve users. The buyer's main goal is to find a dream home with all the necessary equipment. Also, they look for these homes / properties with prices in mind, and there is no guarantee that they will get a product that is reasonably priced and not overpriced. Similarly, the seller is looking for a specific number to attach to the property as a price tag. Not only is this an exaggerated guess, but a lot of research is needed to complete the home assessment. This system helps you find the starting price of a property based on geographic variables. Future costs are expected by analyzing past market patterns and range of values, as well as future advances. The first thing that comes to mind when looking for a property is to contact various realtors. The problem with this is that the agent has to pay a small portion of the amount just to find a home and set a price for you. This model avoids such dangers and predicts accurate values. The main motivation for this model is to incorporate these machine learning techniques and curate them into an ML model that can serve users.

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Real estate, Machine Learning, Cost prediction.

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As we are becoming more and more dependent on electricity to carry on with our day-to-day activities, it has become an important task for us to predict the abrupt and calamitous changes in our space weather that can directly or in-directly hamper with our electricity grids and our satellite systems. The Sun is the major celestial body responsible for changes in the space weather. The Sun, though responsible for life on earth, can also create disastrous impacts on our satellite systems responsible for major communications on earth. It has been seen before that solar activity can prompt space weather changes that could impact technological systems. Hence, it has been of extreme importance to predict these solar activities, before they could reach the earth and cause damages that can disrupt the normal working of the essential equipment responsible for smooth functioning of the economic infrastructure.

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Machine Learning, Matlab, Neural Networks

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Creative Commons Attribution 4.0 and The Open Definition

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The rapid advancement in RFID systems has increased its need of sufficient computing power. Nowadays, more resources are required to implement the encryption and decryption for the authentication during transactions and scanning. RFID tags have the capacity to store the corresponding information. RFID devices works using radio waves to read and write data from RFID tags. Information about the card and its owner is embedded in a tiny microchip in the e-card. The card can be read by machines present in remote locations. That is why this paper proposes double security check by introducing mobile user for the secure transaction. The proposed RFID system is based on the Secure Hash Algorithm and mobile communication devices. It provides a secure certificate mechanism which uses a mobile phone as a middle layer for authentication, RFID reader and credit card containing RFID tag. Secure Hash Algorithm is used to provide a secure and reliable way of transmitting data. The system in theory should be able to do provide good and advanced security for transaction and scanning

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RFID, RFID Reader, RFID Tag, Secure Hash Algorithm, Credit card, Mobile security

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Creative Commons Attribution 4.0 and The Open Definition

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As there is only one earth, it is essential to know the relationship in the nature to maintain environmental balance. First challenge is to protect the earth, Green the earth and heal the earth. The depletion in natural resources has lead to unsustainability of the environment. The building sector accounts for 30-40% of the total global energy consumption. Out of which 80% is consumed during the operational stage of building and remaining 20% of during its construction phase. Thus some urgent and hard decisions to be taken to stop the deterioration of the environment. This paper highlights the study of sustainable perspective in which we analyse the buildings in terms of Sustainable Architecture and Design, Site Selection and Planning, Water Conservation, Energy Efficiency, Building Materials and Resources, Indoor Environmental Quality and innovation. The green building study highlights implementation of sustainable practises as per building feasibility with available limited resources to make the building sustainable and to achieve certification

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Sustainability, Energy Efficiency, Water Conservation, Green Building Practices

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Now a days, heavy metals is a major issue. Various chemical industries release heavy metals into the water bodies. They are toxic to living creatures, thus they must be removed to reduce the risk of uptake by plants, animals, and humans. Over the previous few decades, various heavy metals removal technologies have been developed and intensively research. In this study, Iron oxide was well synthesized by simple co- precipitation method. Heavy metal ions such as Pb(II), Ni(II), As(III), and Cd(II) can be removed from water, using Iron oxide as adsorbent.

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Adsorption, Heavy metal, Co- precipitation, waste water, iron oxide.

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In today's business world, exceeding client expectations is a top responsibility for every company. Satisfied customers tend to stick around for a long time. Through their marketing mix, companies make promises or raise expectations in customers. Consumers will be more likely to stick with a product or brand if they believe their expectations have been met, as this will lead to repeat purchases. We gained insight into customer purchasing habits and their influence on the local market through the study's results. Customers' views of the marketing mix determinants of price, sellers, and site were found to have a substantial impact on the frequency with which they purchased a product. In India, the demand for organic products has increased significantly. A healthy body and mind are critical to our well-being. Chemical fertilisers and pesticides are not used in the production of organic products, which are cultivated in a manner that is both environmentally friendly and socially responsible. In recent years, demand for organic products has grown rapidly over the world. An effective marketer will "construct" the marketing mix elements around his or her defined target market based on the marketing mix's many components.

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Marketing Mix, Brand Loyalty, Consumer Behavior, Buyer, Organic Products

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Creative Commons Attribution 4.0 and The Open Definition

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Voice or speech recognition systems allow a user to make a hands-free request to the computer, which in turn processes the request and serves the user with appropriate responses. A voice-controlled system embedded in a web application can enhance user experience and can provide voice as a means to control the functionality of e-commerce websites. In this paper, we have reviewed speech recognition systems (SRS) architectures and present their advantages, disadvantages, and the approach followed by various authors to get the desired result.

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Speech Recognition

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 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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soft power, cultural diplomacy, Act East Policy, cultural connect, religious connection.

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Creative Commons Attribution 4.0 and The Open Definition