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It is very common part of discussion that normal structures lag behind in terms of energy saving and its corresponding impacts on environment. This drives research to show implementation of common solutions and concepts that can be easily applied by majority of individuals to fulfill sustainable and self-sufficient goals to lead to a better habitat to live in. The aim of paper is to explore proper application of most common and most essential cost-effective design solutions to make structure following a step towards self-sufficient in itself. The paper has emphasized on quantitative and mathematical approach of study generating owns secondary data, from various research papers that are based upon similar background aspects. The value analyzed for solar panel tilt should range from 20o-30o for maximum efficiency, similarly distance between panels should be 1m-1.6m and horizontal shading device and vertical shading device should have at least depth of 450mm and 700mm respectively. The study is limited to a particular climate and region. i.e., Northeast region of India and focuses only upon most critical parameters. This paper will provide new directions for self-sufficiency in structures, which will further add values to the domain of architecture and civil engineering. Further, new areas of research can be application of new design alternatives for self-sufficiency, with respect to several other climatic conditions and regions. [ABSTRACT FROM AUTHOR]

The increase in data from modern sources, the heterogeneous nature of data, ambiguous and unstructured data, and the so-called Big Data with all of its five v's characteristics, indicate a growing need to use approaches that provide assistance in modeling and processing these data, provide additional automated data processing, and so on. The majority of all these studies involve one or more big data sets that may be used in various applications. Most of these selected papers use one or more distributed frameworks (such as MapReduce, Spark, or HDFS Hadoop distributed file systems). Furthermore, more than one strategy of Web mining is dealt with (such as Naive Bayes, Logistic Regression, and Random Forest, as examples) more than recommender system types (collaborative filtering, or/and content-based filtering). Various data sets were used (such as Movie Lens data set, LDOSCoMoDa data set, real bank loans dataset, using Facebook and Twitter for collecting data, data was taken across different companies, thousands of movies were used as exemplary data sets, or data sets used a sample data from different schools of Central Board of Secondary Education (CBSE) across India). Testing accuracy on the dataset obtained is required in the accuracy used (precision and recall). The best precision was 0.9886 and the best recall was 0.9835 in these studies. We have displayed some studies that have high precision and low recall and some other studies that have low precision and high recall. This paper introduces a literature survey about recommender systems that deal with big data through web mining techniques. [ABSTRACT FROM AUTHOR]

Agriculture is the backbone of success of rural countries like India. In this way, the proposed procedure is to utilize mechanization and web of thing (IoT) innovation to form agribusiness smart. There are currently several commercial IoT frameworks for water system planning that create differentiators for water monitoring and storage. However, this framework focuses on exploiting newly available water resources without controlling the selected water resources. Think about it, an inexpensive Arduino-based IoT framework was developed to design a computerized water system, and it will provide estimation of water requirements by using low-cost available sensors. This paper is around IOT based keen cultivating and water structure framework. The extreme motivation of this paper is to computerize the method of watering to plants. This work makes a difference us to notice the values of different parameters like moisture, temperature, humidity of plants and water them appropriately. This can be done utilizing Arduino board, voltage controller and transfer which commands the engine. In this paper, we have created an brilliantly water system framework that will control the water apportioning to the trim intelligently without any administrator and endeavors low-cost Arduino-based water system gadgets, sensors, particularly advanced procedures actualized in water system frameworks and farming, such as shrewdly water system frameworks. The main vision of this research is to detect minimum amount of water needed to nourish plants. Mass of the ranchers waste time instead of focusing on providing water to the crops at the time of need. The proposed framework find out the desired quantity of water on the basis of information received through the sensors - The main advantage of the system is the use of precision agribusiness and cloud platforms, which can expand the water use compost, which also helps in decision making. to increase crop yields. the weather conditions of the field. This article moreover points to create the water system framework for domestic gardening and this framework can be kept up without any human checking. It consequently checks the dampness of the soil beneath the tree and plants within the domestic cultivate and in case the dampness is moo it demonstrates the message and pours water naturally to the plants from the water capacity to which it is associated. The exact utilization of water system strategy is needed as there may be a requirement of precipitation or there may be dried regions. For this cause, a mechanized water system framework is utilized in which it is appropriate in all weather conditions. The soil dampness detector will sense the water substance and demonstrate either to pump the water or not. This will offer assistance to diminish the wastage of water additionally makes a difference to grow the plants indeed in the event that the human isn't physically present. The developed IoT framework has been tested in several field tests to calculate sensor accuracy, independent monitoring and operation, and usability monitoring, and to evaluate its capabilities and functionality. This framework appears to have been used effectively for the management and control of various water resources: water, groundwater, seawater and wastewater. By extension, it has been shown that the frame can be used for long periods without a source of control, which will make it a ideal device for using in annual crops. [ABSTRACT FROM AUTHOR]

Farmers grind away in the fields to take home just an exiguous income. Now, the agriculture industry is already a burdened industry with uncertainties from all directions. One of the major issues the industry is facing is crop loss. In India, every year around 30-40 per cent crops are lost. This has adverse effects on food security of the highly populated nation. For that matter, India is the 16th hungriest country in the world. Thus, there is a need to identify, understand and overcome agronomic losses. Extreme climate events and crop diseases are the two major reasons for crop losses. While climate events are less controllable, plant disease prevention becomes an important area of interest. Detecting plant diseases at early stages using images serves as key to preclusion of severity. In this paper, we have surveyed some of the significant papers on plant disease detection using image processing. [ABSTRACT FROM AUTHOR]

The Indian government has proposed a national education policy designed by an eminent panel of experts, with the audacious goal of transforming the Indian education system. The policy plans to bring significant changes in the teaching-learning process from the school level to the university level. This paper studies the current information technology infrastructure that is available in Indian Universities for enabling e-learning. The data relating to IT infrastructure to facilitate e-learning was collected from 252 Universities across India. This was used to understand the present scenario of e-learning in the higher education context. An IT governance framework has been proposed which can effectively facilitate e-learning in alignment with the goals of the Indian National Education Policy. [ABSTRACT FROM AUTHOR]

Globally, pesticide use continues to rise, estimated to be over four million tonnes yearly. In 2020, it was almost 2.7 million metric tons, up 57% from 1990. Nanotechnology is an innovative and exciting technology that offers new nanoscale molecule designs, formulations, and delivery systems to diminish the hazardous pesticide effects. Many studies on nano-pesticide production have been published, whereas nano-biopesticides are still limited. The purpose of this research is to answer the question of whether nano-biopesticide formulations will emerge along the development of nano-pesticides. The research was conducted by using bibliometric analysis. All nano-pesticide and nano-biopesticide-related publications are extracted from the Scopus with no limitations year. Using VOSviewer, data on research scope, authorship contributions, number of citations, and global research trends are evaluated and mapped. The results show that the publishing of nanoparticles has an exponential trend, with 125 nano-pesticide documents. However, only 14 nano-biopesticide documents are available. India is the most productive country, publishing both nano-pesticides and biopesticides articles, 52 and 9 publications. India connects the Australian and European continents regarding nano-pesticide publications. China is next, with 36 articles about nano-pesticides currently published. Al-Whaibi (average of 86 citations) and Iavicoli have extremely high citation counts (average of 125.5 citations). In synthesizing nano-biopesticide formulations, we found that essential oils are the most common ingredient in nano-biopesticides. In future, the topic related to the impact of nano-biopesticides on crop production and resistance; the combination of nano-biopesticides and nano-fertilizers; the study of nano-biopesticides' effects on the environment; and microbial as nano-biopesticides are some trend in the nano-biopesticide formulation. We predict that research on nano-biopesticides will increase rapidly in the context of eco-friendly issues. Finally, this paper can serve as a basis for the upcoming research on nano-biopesticide formulations, particularly those involving microorganisms as bioactive substances. [ABSTRACT FROM AUTHOR]

Grape is one of the most cultivated fruit crops in India and widely used to produce the food items. Among the world, grapes are considered as most significant fruit and it comprises various nutrients, namely Vitamin C. However, grape plants suffer with diseases which extremely affect good quality grape yield. The major six general grape leaf disease and pests are brown spot, leaf blight, downy mildew, anthracnose, and black rot, which produces severe economic suffers to grape commerce. Thus, the early detection of grape leaf disease is highly needed to produce healthy grape yield. Moreover, computer vision driven approaches have been employed effectively in modern years for detecting and classifying plants diseases. In this paper, hybrid approach with fuzzy logic and neural network has been proposed to classify the grape leaf disease. The work is further extended to identify whether leaf is affected with pesticide or not and percentages of pesticide is calculated if it is affected with pesticides. Optimization approach has been used to find accurate results. This optimization based deep learning approach achieved the accuracy of pesticide identification 93.43%. [ABSTRACT FROM AUTHOR]

With the growing number of security breaches, the necessity for better security procedures and protocols has grown as well. According to a reports, lakhs of robberies are occurring in the United States of America each year. Though India is a developing country, these types of robberies are considerably more common. The primary purpose of this work is to develop a security solution that can help combat this. This paper primarily aims to design a software that is built from the ground up for detection of face, leading to facial recognition and finally, providing information to the user or the owner of the software if any unfamiliar face is there which is not a part of the database. The aim is to notify the owner about any unfamiliar person that is present and unrecognized by the camera. In case if the face is not recognized, alerts will be sent via SMS and Email. Some software has limited forward compatibility and can be difficult to run on weak hardware, thus it is necessary to have a software which is more powerful and easily run on the weak hardware. The proposed work has a great scope in the future applications ranging from simple automatic locking systems in households to an attendance system in corporate offices and even for an antiterrorism system. [ABSTRACT FROM AUTHOR]

Emerging technologies in smart wearables hold great potential to enhance people's day-to-day health by facilitating self-monitoring of physical activities. The research with these devices is in its early stages. In this research paper, using the expectation-confirmation theory (ECT), along with conformity, performance expectancy, and satisfaction, we investigated the factors that influence the intention to use continuously. Based on a sample of 678 smart wearable users, collected from Northern India, we have used structural equation modelling (Smart PLS4) and identified the impact of satisfaction post adoption technology, Habit to wear, data privacy and health information accuracy on the continuing intention of smart-wearable users. According to the findings, consumer satisfaction, health information accuracy, and data privacy are key variables that have a significant influence on the long-term intention to use smart wearables. This study has many implications for smartwatch manufacturers and designers looking to increase users' intent to continue using their products. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI), Blockchain, and the Internet of Things are all new technologies impacting people's lives. These technologies can change how we communicate, run our businesses, and even how governments work for their people. Artificial intelligence has disrupted the way traditional marketing practices are conducted and changed how business processes are done. Organizations and governments increasingly turn to artificial intelligence (AI) to improve customer experience, operational efficiency, fraud detection, and cyber security. The revolutionary buzzword, artificial intelligence (AI), has transformed our personal and professional lives. Industry 4.0 considers AIadoption significant due to its potential benefits. Since its inception, it has presented several possibilities and difficulties to various businesses. As a result, several AI-powered technologies have been created, and they have the potential to raise significantly living standards while also boosting the economy. This paper has conducted a conducive study of the marketing tools and techniques that adopt AI while looking through the loopholes to suggest howAI can be adopted quickly into the day-to-day lives of the human race. Based on this, it has recommended a course of action for India that entails the development of infrastructure, policies and rules, research and development, and humanresources. It is necessary for all parties involved to gather and address these problems. Infrastructure development, applications in the public sector, policy & regulation, technological development, and human resource development are all key responsibilities of the government. However, with the assistance of business, they may be accomplished effectively. For this study, the authors have employed secondary data. Future empirical studies might be conducted to compare the development of artificial intelligence technology in India to that of other emerging nations. The study is based on secondary data to demonstrate the development of artificial intelligence technology in India and overseas. However, empirical research may be conducted in the future. The writers' original points of view are presented in the article. [ABSTRACT FROM AUTHOR]