bluuebunny/crossref_metadata_2025 huggingface dataset:
THE ROLE OF DATA SCIENCE ADVANCEMENTS IN HEALTHCARE, AGRICULTURE AND FINANCE
Authors: S. Russia Dr. , K. Murugan Dr. , M. Vimaladevi Dr.
Published: June 2024

New technologies are revolutionizing the business landscape, driving enhanced productivity and boosting return on investment. Present-day trends encompass areas such as data analytics, artificial intelligence, big data, and data science. Corporations are increasingly embracing data-driven models to streamline their operations and base their decisions on insights gleaned from data analytics. Data science involves the examination of data to uncover valuable insights, drawing from diverse sources such as databases, business transactions, sensors, and more. Data analytics, on the other hand, entails the analysis of raw data to arrive at conclusions. By harnessing data analytics, businesses can optimize their performance, improve efficiency, maximize profits, and make more strategic choices. The automation of data analytics techniques and processes has given rise to the development of mechanized methods and algorithms applied to raw data. It advancements have had a profound impact on various industries, including healthcare, agriculture, and finance.
TREND ANALYSIS AND ARIMA MODELING FOR AREA, PRODUCTION AND PRODUCTIVITY FOR FINGER MILLET
Authors: R. L Ghetiya , A. D Kalola , X. U Shukla
Published: June 2024

This content explores the multifaceted aspects of Finger Millet (Eleusine coracana) as a cereal crop delving into its historical cultivation, nutritional richness and ecological adaptability. The discussion spans its diverse names across regions such as "Ragi" in India emphasizing its cultural significance. The chapter employs a data-driven approach utilizing trend analysis and the ARIMA model to examine Finger Millet's cultivation trends from 1950 to 2020 and forecast its trajectory for the next five years. The meticulous data collection and preprocessing methods ensure the reliability of insights gained. The ARIMA model explained in detail serves as a powerful tool for predicting cultivation metrics. The content concludes with reflections on key findings, implications for agricultural planning and suggestions for future research highlighting Finger Millet's role in addressing agricultural challenges and fostering sustainability. The inclusion of a Python code example along with diverse references enhances the analytical robustness of the presented chapter. The comprehensive exploration underscores Finger Millet's resilience and potential impact on food security and sustainability in the face of evolving agricultural landscapes.
A NOVEL ANALYSIS ON THE IMPACT OF INTERPRETABLE RADIOMICS APPROACH FOR FOCAL LIVER LESIONS DETECTION IN CONTRAST-ENHANCED ULTRASOUND IMAGES
Authors: Haripriya T. , K. Dharmarajan Dr.
Published: June 2024

Contrast-enhanced ultrasound (CEUS) imaging has emerged as a valuable tool for detecting focal liver lesions (FLLs). However, accurately characterizing these lesions remains a challenge due to their diverse appearances and complex nature. Radiomics, a promising field that extracts quantitative features from medical images, has shown the potential in improving diagnostic accuracy. In this research paper, we propose a novel analysis of the impact of an interpretable radiomics approach for FLL detection in CEUS images. This research introduces a framework, named feature fusion, comprising three main components: hand-crafted feature extraction, deep feature extraction, a feature fusion unit, and a classifier for generating the final prophecy. The proposed model utilizes a set of twenty frames extracted from CEUS cine clips captured in a CEUS video as a case study. Two different feature types are then extracted. A categorization of merging of all features to generate the ultimate diagnosis. The trials showed that, when compared against a number of cutting-edge models, our strategy performed the best. Additionally, the suggested fused feature offers better interpretability when compared to general CNNs.
SENTIMENT ANALYSIS ON STUDENT FEEDBACK USING NATURAL LANGUAGE PROCESSING
Authors: Alagukumar S. , Vengateshkumar R. , AnandaGopi A.
Published: June 2024

Text classification is the process of classifying or labeling text into predefined labels created by the user and has numerous applications in various industries such as sentiment analysis and topic modeling.In this work, it has been analyzed that the student feedback of text data is evaluated with various preprocessing namely, tokenization and word vector matrix and classified using the Multinomial Naïve Bayes algorithm. It can provide valuable insights into how students perceive their learning experience. The data used in this work is collected from the Ayya Nadar Janaki Ammal College, Sivakasi. This work can be used to analyze the emotions and opinions expressed in student feedback, educational institutions can identify areas of improvement and make data-driven decisions to enhance student satisfaction and student support services.This work can be used to improve the quality of organizing workshop and other events, which help to analyzing the student feedback, and organizations can make decisions to enhance future programs.
NANO M_J OPEN MAP IN NANO TOPOLOGICAL SPACES
Authors: S Jackson. , I GnanaSelvam Jude.
Published: June 2024

In this paper we are going to establishing new class of function in Nano topological spaces named as Nano MJ-open map. The properties of Nano MJ -open map are explained. Also introduce Nano -MJ closed map and discussed their properties. Finally introduce Nano MJ-homeomorphism and analyze their properties with examples.
SOFT JCHOMOEMORPHISM IN SOFT TOPOLOGICAL SPACE
Authors: Jackson S. , Carlin J.
Published: June 2024

The study of Soft J^Chomeomorphism and Soft Strongly J^Chomeomorphism in Soft Topological space is the subject of this article. We come up with a few of its properties and talk about a few composition theorems.
ON SOME TYPICAL KIND OF CONTINUITY IN SOFT TOPOLOGICAL SPACE
Authors: Jackson S. , Jenifa N. , Sivasankar J.
Published: June 2024

In this paper we have made an attempt to make results on some typical kind of continuous functions of Soft J Open and Soft J Closed sets in Soft Topological spaces. This study also describes the characterization of continuity with reference to our Soft J Open sets in Soft Topological Spaces.
SOCIO ECONOMIC STATUS OF AGRICULTURAL HOUSEHOLDS: A STORY OF TWO VILLAGES OF TRIPURA
Authors: Bhattacharya Dr. Manik
Published: June 2024

Based on the primary field survey and secondary sources of data this study analyzes the scenario of the agriculture sector of Tripura and the socio-economic status of the agricultural households of two blocks of the North Tripura district of Tripura. The secondary sources of information shows that the state is facing the crisis of food grains and other crops due to increasing trends of population. The primary filed survey data explores that most of the members of the agricultural households are primary school educated. The work participation rate is inversely related with different income group in both the study villages. We also see that middle income groups have commend over the livestock assets. From the field level analysis it is found that most of the agricultural households not survive with their tiny portion of cultivated land. Cultivation is not sufficient to maintain their family in proper way. Some members of the agricultural households are engaged with some small business, some other non-farm employment and government sponsored work like MGNREGA activity. For the improvement of the socio economic condition of the agricultural households this study suggests for government intervention to give credit facilities to the cultivators for their cultivation and other non-farm activities. This study also suggests for proper use of the unused land for the cultivation of some cash crops and use of proper water resources for fish cultivation. The study also provides recommendation for enhancing asset creation and sustainability of assets for wider benefit of the rural community through the MGNREGA activity of local Self Governments.
DATA DRIVEN ENTREPRENEURSHIP – A STRATEGIC TOOL FOR BUSINESS DECISION
Authors: Roy Ekta Singha , Guha Dr. Sriparna
Published: June 2024

The entrepreneurship is the process of starting and running a business with an aim to grow and develop the economy. Innovation is a contribution by entrepreneur. Data Driven means an organization that is data centric. Data Driven Business Models are more complicated for established business rather than start up business. Data Driven Entrepreneurship are those ventures which collect data and analysis the methods and technologies so that it can build new ventures. It is model which is based on facts, figures and data so that it can guide strategic decision of the business to achieve its goals, objectives and initiatives. It helps the entrepreneur to make better decision. This paper will decision on the principles of data analytics in the start-up stage of the business.
TRENDS IN INDIAN HOSPITALITY AND TOURISM INDUSTRY
Authors: Kumar Balvant , Hussain Md. Sadab
Published: June 2024

When compared to other service industries, the hospitality sector is one of the fastest growing and has expanded quickly to become a global industry. Unquestionably, the tourism and hospitality sectors serve as the economic and financial backbone of many nations. Due to the positive impact that tourism can have on a country’s overall economic development, many nations have transitioned from economic hardship to a commendable situation. The Indian economy is significantly influenced by tourism. Any business must be innovative and creative in order to survive. The hospitality sector is typical. The hospitality sector in India is going through a significant transformation, and in addition to traditional business and leisure travel, the sector is also attracting interest from a number of other sectors, including meetings, promotions, conferences, and exhibitions, eco-tourism, wellness tourism, spiritual tourism, and going on pilgrimages. The next surge in domestic and international tourism will originate in untapped regions. The hotel industry is also considering developing related products to meet the various needs of tourists, who have increasingly varied needs. The Indian government has made a number of reforms to the regulatory structure In order to make it more lenient toward investment and hasten the expansion of the industry. These plans, along with significant funding for the development of world-class infrastructure, better air and land connectivity, encouragement of regional construction in Tier-3 and Tier-4 cities, and exploration of untapped geographic resources, have contributed to India’s hospitality sector’s explosive growth. The focus of this article is on these trends in the Indian hospitality sector. As a result, the industry’s makeup has undergone a radical change. It also tries to analyze how these trends affect India’s economy as a whole and the hospitality sector in particular.
FUTURE TECHNOLOGY AND ITS IMPORTANCE IN THE HOSPITALITY INDUSTRY
Authors: Teja Allamraju Satya Narayana
Published: June 2024

The hospitality industry is one of the key sectors of the global economy, and it has transformed how services are delivered and consumed. a result of the widespread adoption of modern technologies. This research study discusses how modern technology is addressing guest demands and preferences in the hospitality sector. We discuss the spectrum of potential future hospitality services provided by the hospitality industry as technology continues to advance on a daily basis. The newest technological developments in the hotel sector are summarized in this report. Explore some of the cutting-edge technologies being used in the hospitality sector to see how they are enhancing the visitor experience and altering the industry. It is necessary to talk about the modern, mature trends that are currently dictating the industry. The article finishes with recommendations for dealing with updated technology and how it will help business decide what to do next.
FUTURE TRENDS INTHE HOSPITALITY & TOURISM INDUSTRY
Authors: Rajeev Koontru
Published: June 2024

Our study identifies fresh marketing trends in the hospitality and tourist sectors in addition to safety and security. To take advantage of new technology that increases competitiveness as well as current and forthcoming marketing trends, every hotel marketing should be thoroughly examined. This research also discusses the value of marketing strategies for the hotel sector. It's crucial to continue to be at the forefront of digital marketing trends. Market trends for hospitality? COVID-19-related marketing trends for the hotel industry, etc.
FUTURISTIC MARKETING TRENDS IN TEXTILE INDUSTRY IN INDIA
Authors: Dua Madhumita
Published: June 2024

The textile Industry is very sound in generating employments. Skilled, semi-skilled and unskilled labor is getting employment in the textile industry. The objective of the study is to find out what kind of fabric and under what budget would be preferred in the next few years. “Vocal for Local” suggests that Indians must prefer buying fabrics made in India. The textile exports account for nearly 8-9% of the total exports from the country. The trends include creating recyclable clothing that can create sustainability for the generations to come.
NEW EDUCATION POLICY 2020: CREATING AVENUES FOR SKILL DEVELOPMENT
Authors: Goyal Mr. Vibhor , Singhal Dr. Vikhyat
Published: June 2024

The New Education Policy (NEP) 2020 introduced by the government of India has generated significant interest and debate among education policymakers, researchers and practitioners. This research paper aims to critically examine the provisions and implications of the NEP 2020, specifically focusing on its role in creating avenues for skill development. This paper begins by providing an overview of the NEP 2020 and its key objectives, which include the holistic development of students, promoting multidisciplinary education and fostering creativity and entrepreneurship. The study then explores the various avenues for skill development introduced by the policy, such as vocational training, internships, apprenticeships and industry collaborations. The study analyzes the role of the NEP in addressing the skill gap in India and aligning the education system with the demands of the 21st-century job market. It investigates the strategies employed to enhance vocational education and establish a seamless integration of academic and practical learning. The research also delves into the challenges and opportunities encountered during the implementation of the NEP, considering factors such as infrastructure, curriculum design and teacher training. The research paper concludes by discussing the implications of the NEP for India's future workforce and economic growth. It highlights the potential of the policy to foster a skilled and adaptable workforce that can contribute to the country's aspirations for innovation and technological advancement. Finally, the paper proposes recommendations for further refinement and improvement of the NEP, taking into account the evolving needs of the education sector and the changing dynamics of the global economy.
FUTURE TRENDS IN FLIPPED CLASSROOM
Authors: Garg Dr. Payal , Garg Pallavi
Published: June 2024

Flipped classrooms also redefine as inverted classroom. This kind of teaching comprehend in which task are given to the students to study at home from books and practice concepts through assignments. Through the Inverted classrooms teachers set target for their courses, learning for class in advance, choose high quality class, and helpful information collection upload on websites which also help in reducing paperwork which also helps in reducing the paperwork. The flipped classrooms are shifting from Passive learning to active learning state i.e., from traditional learning classroom teaching to flipped classrooms. In traditional classrooms students receives limited amount of time but on the other hand in flipped classrooms student get extra time and as they can learn through lecture videos also. It applies competency- based learning in which student becomes master of one topic before moving on to another topic. Flipped learning is a strategy in which teachers record their lectures and post those videos on online, which student can access. Students study at home by watching these videos and when they come to class, they let's get ready with that lecture. To improve the existing problems in the quality of teaching process this paper conducts descriptive research on Inverted classroom and to find out the problems faced ion traditional classroom teaching method.
A COMPARISON OF THE CROPPING PATTERNS OF PUNE AND NASHIK DISTRICTS
Authors: Raman Dr. Bhuma
Published: June 2024

This paper is an attempt to analyse the impact of cropping pattern on the value of agricultural income generated in Pune and Nashik districts. For this study, thirteen important crops (including cereals, pulses, oilseeds, and cash crops) have been selected viz., rice, wheat, jowar, bajra, maize, tur, moong, udid, gram, groundnut, soybean, sugarcane, and cotton. The area under these crops in Pune and Nashik during the period between 2009-10 and 2013-14 has been studied in order to understand their cropping patterns. With respect to the cropping pattern of Nashik it was observed that the cropping pattern has diversified in the production of cereals, pulses, and oilseeds while in Pune the cropping pattern has diversified in favour of pulses and oilseeds to some extent and to a greater extent in sugarcane. The area and production of fruits and vegetables in Nashik is also higher than in Pune. For a more holistic analysis, the rainfall in both districts during the study period was analysed and it was found that Pune had better rainfall than Nashik in the study period. As far as productivity of crops was concerned, it was found that the productivity of crops, mainly kharif crops, in Nashik was higher than in Pune. It was also observed that during the period of the study, the agricultural income of Nashik district increased four times as compared to the doubling of Pune’s agricultural income during the same period. This paper proposes that the cropping pattern of Nashik has a great influence on the agricultural income of the district.
A STUDY ON RELATIONSHIIP MANAGEMENT WITH THE HELP OF BRAHMAKUMARIS RAJYOGA MEDITATION
Authors: Roy Biswajit , Kanrar Arun , Ray Dibakar Singha , Prakash Dr. Indira
Published: June 2024

The aim of this study is to examine the role of Brahmkumaris (BK) Rajyoga meditation in relationship management. The study was conducted on 200 BK Rajyog practitioners practicing Rajyoga from three month time span up to 8 years. One to one, one to many, many to one and many to many relationships were examined in this study. The reasons behind the differences in opinions, causes and reasons of stress in relationships are explored in this study. Various relationships like parent-child relationship, husband-wife relationship, teacher-student relationship, employee-employer relationship, relationship between two friends, between two families is overviewed in this study. How these relationships can be changed into a better and healthy direction with the help of Brahmakumaris Rajyoga meditation is the main focus of this study. Brahmakumaris Rajyoga meditation includes Amritvela meditation (early morning meditation), regular study of ‘Murli’ (spiritual literature) at the Brahmakumaris center, observing ‘traffic control’ (checking and changing the quality of thoughts) at a regular interval, ‘dharna’ (imbibing divine virtues) in personal life, ‘Numa sham Yog’ (evening meditation), writing letter to God (writing chart of spiritual activities) daily and ‘Mansa, Vacha and Karmana Seva’ (service through mind, words and deeds) to make the vicious world into the viceless world. The results found were surprising; there was a paradigm shift in the management of relationships. It is made possible through Brahmakumaris Rajyoga meditation because of the shift from vertical pressure in the relationships to horizontal distribution of caring, loving and sharing i.e., shifting of the mindset from role consciousness to soul consciousness.
INDIAN ENTREPRENEURIAL CULTURE: A HISTORICAL PERSPECTIVE
Authors: Khan Mohammad Furqan , Amin Faseeh , Jan Dr. Anisa
Published: June 2024

In India, educated youth's quest for nirvana ends with a government job, even if it is a class IV appointment. Indeed, it is complicated to comprehend the motivation of highly qualified youth of the country who opt for a low-profile job in the public sector instead of an entrepreneurial career. Accordingly, raising questions about the higher education system of the country which has failed to produce ambitious and innovative entrepreneurs. Similarly, social acceptance of such irrationality in India is an intriguing conundrum. This paper is an attempt to understand the reasons behind the civil service fascination among Indian youth and its relation with the current state of the Indian economy. Looking at this problem from the lens of a behaviourist, we have tried to answer these questions by understanding the problem from a historical perspective. The explanation for the civil service obsession among Indian youth is concealed in the entrepreneurial and economic history of the region. Examination of past economic data reveals that financial terrorism during British rule nurtured the atrocious entrepreneurial culture in the country and conditioned generations of Indian youngsters to pursue public employment as the first career option. To end this cycle of civil service fascination the conditioning of young Indians must start long before the social media handles of the bureaucrats would corrupt their minds. With proper educational reforms, millennials can nurture the next generation to become entrepreneurs driven by passion rather than necessity.
SMART FARMING WITH IOT: ENHANCING AGRICULTURAL PRODUCTIVITY
Authors: K. K. Ilavenil Dr. , V. Senthilkumar Dr.
Published: June 2024

Smart farming, an innovative approach to agriculture, integrates advanced IoT (Internet of Things) technologies to optimize agricultural practices, enrich productivity, and support sustainability. This paper presents an overview of smart farming's core principles and its role in transforming traditional agriculture into a data-driven, precision-based industry. The idea of intelligent farming revolves around the deployment of IoT devices and sensors throughout the farm, collecting real-time data on crucial factors such as soil conditions, weather patterns, crop health, and livestock behavior. These IoT-enabled devices create a network that facilitates seamless data transmission and analysis, empowering farmers with valuable insights for making informed decisions. Precision agriculture, a key component of smart farming, harnesses data analytics and artificial intelligence to tailor agricultural interventions precisely fit the unique requirements of crop or livestock. By optimizing the application of water, fertilizers, and other resources, precision agriculture minimizes waste and reduces the ecological impact of farming while maximizing yields and profitability. This chapter explores various applications of smart farming, including smart irrigation systems that deliver water precisely based on soil moisture levels, automated livestock monitoring for early detection of diseases, and predictive maintenance to ensure the longevity of agricultural machinery. Additionally, the integration of IoT with farm management platforms enables farmers to have a comprehensive view of their farm's operations and streamline tasks effectively.The benefits of implementing smart farming practices are far-reaching. Increased agricultural productivity and resource efficiency contribute to food security and reduced production costs. By leveraging predictive insights, farmers can respond swiftly to potential challenges and mitigate risks, fostering more resilient agricultural systems. Moreover, the sustainability-driven approach of smart farming helps preserve natural resources and promotes environmentally responsible farming practices. However, challenges persist in the widespread adoption of smart farming. Issues related to data safety, interaction of expedients and the digital divide in rural areas necessitate further attention and collaborative efforts among stakeholders.
FROM DATA TO DIAGNOSIS: UNLEASHING AI'S POTENTIAL IN HEALTHCARE
Authors: Khan Rehan , Kashish Raafeya , Naseem Mohammad , Sadaiya Akhil , Shadab Pasha Khan Dr.
Published: June 2024

The delivery, diagnosis, and management of medical services have all undergone radical change as a result of the integration of artificial intelligence (AI) into the healthcare industry. This book chapter explores the substantial effects of AI on healthcare, including how it can be used for administrative, diagnostic, and therapeutic duties as well as patient care. The chapter also discusses the crucial role that security plays in preserving the integrity of AI-driven healthcare systems and protecting patient data. This chapter seeks to offer a complete grasp of the current environment, difficulties, and potential applications of AI in healthcare through a thorough analysis of AI technologies and their ethical implications.
ANALYSIS AND PREDICTION OF HEPATITIS USING MACHINE LEARNING
Authors: Siva Kumar Reddy B. , Sai Divya Sri K. , Krishna K. , Sravan K. , Atheesh K.
Published: June 2024

This study presents a systematic method using machine learning to diagnose hepatitis disease. By leveraging distinct classifiers and applying class balancing techniques, the proposed approach aims to improve accuracy and reduce human error in diagnosis. The hepatitis virus is considered one of the deadliest diseases in the world. Machine learning could help in diagnosing this condition. In order to develop a comprehensive strategy for diagnosing hepatitis, the authors evaluated the performance of the classifiers on the UCI dataset. The Classification algorithms are logistic regression model, the support vector machine, and the random forest. These methods are tested without class balancing and also with class balancing through SMOTE. The efficiency of these tools improved significantly after adopting class balancing. Another method is to use classification algorithms. They can be compared using methods that are based on feature selection. Principal components of the classification process, namely the information gain attribute, the cfs subset eval, and the F-measure and ROC Area performance, for filter-based features selection. It was found that the Nave Bayes model had the highest accuracy when it came to analyzing the data set of hepatitis patients. The best feature selection method for determining hepatitis patients is the filter-based model.
DURABILITY EVALUATION OF SELF-COMPACTING CONCRETE WITH CONTROLLED PERMEABLE FORMWORK LINER
Authors: Kandasamy S. , Pannirselvam N. , Syed Ibrahim S. , Vanjinathan J. , Sundararaman S.
Published: June 2024

Corrosion in reinforced concrete structures is a pervasive global issue, incurring substantial costs for repair and retrofitting. Aggressive agents infiltrate concrete through its surface, triggering rebar corrosion. Controlled Permeability Formwork (CPF) represents an active approach to enhancing the surface area of the concrete's quality. Using this technique, the cement and fine particles are retained while the excess water and trapped air are successfully removed from the fresh concrete's near surface. As a result, the concrete's cover zone's surface porosity decreases, cement content rises, and the water-to-cement (w/c) ratio is decreased. CPF operations yield a smooth surface devoid of pinholes and defects. The purpose of this paper is to report the findings of an experimental investigation that looked at the impact of CPF liner application on the durability properties of self-compacting concrete (SCC). Both CPF liners and impermeable steel formwork (IMF) were used to prepare the samples and subjected to various tests at different ages. These tests encompassed sulfate resistance, hydrochloric acid resistance, sorptivity, and water absorption. The outcomes demonstrated that CPF concretes shown impressive sorptivity (resistance to water absorption) properties, ranging from 22 to 67%. Additionally, CPF concrete displayed a superior residual compressive strength, surpassing IMF concrete by 14 to 143%, particularly when subjected to an environment with hydrochloric acid.
EXPERIMENTAL STUDIES TO ASSESS THE VIABILITY OF ZEOLITE POWDER AS A CEMENT PARTIAL REPLACEMENT
Authors: R Arvind Saravan
Published: June 2024

This study, conducted by This Works, explores the potential of zeolite powder as a substitute for cement in concrete compositions. Zeolite, known for its crystalline structure consisting of silicon, aluminum, and oxygen, demonstrates significant Pozzolanic activity and the ability to absorb carbon dioxide. The research evaluates the effectiveness of incorporating zeolite powder as a partial replacement for cement in M-40 grade concrete, considering proportions of 10%, 20%, 30%, and 40%. The concrete mixture adhered to the specifications outlined in IS 10262-2019. Various mechanical properties including compressive strength, tensile strength, and flexural strength were assessed at curing periods of 7, 14, and 28 days. The findings of these analyses are presented in this paper. Interestingly, concrete mixes containing 20% zeolite powder exhibited the best performance, displaying higher compressive, tensile, and flexural strengths. Additionally, non-destructive tests confirmed that the concrete met industry standards, highlighting the viability of zeolite powder-enhanced concrete.
APPLICATION OF CAST IRON WASTE (CIW) IN CONCRETE ENHANCING THE THERMAL INSULATING (TI) PROPERTY
Authors: Ansari Mohammad Irshad , Das Piyush , Dewangan Meghal , Chandrakar Bhumika
Published: June 2024

Concrete is a mixture material of cement, sand and aggregate (fine aggregate and coarse aggregate) with water content in a definite proportion. There are some admixture material who are enhance the property of concrete, such types of concrete is name as modified concrete. Cupola blast furnace slag is used in this experiment in the percentage of 1%, 3% and 5% with partially replacement of cement (OPC). For making M20 concrete used the ratio 1:1.5:3 mix proportion. After the adding CIW in cupola cement concrete the slump value is gradually reduced 2.64%, 9.22% and 16.79% resp. after adding the 1% to 5% of CIW the water holding capacity is also reduced by 12.65%, 16.66% and 27.02%. and the compressive strength is reduced after 1% adding of Cupola slag is 3.40% and increased 10.68% and 11.61% after adding the 3% and 5% of CIW resp. thermal conductivity is gradually reduced by 12.89%, 13.12% and 19.12% after adding the 1%, 3% and 5% of cupola slag. The thermal performance may be more good after adding the more percentage of CIW.
ELEVATING ELECTRICAL SURVEYS: THE COLLABORATIVE FORCE OF IOT AND DRONES
Authors: M Varshitha Gowda , V Pavan , Nakul Ramanna Dr. , Karthik M H Mr. , Basumatary Bibang Gwra
Published: June 2024

The Internet of Things (IoT) refers to a network that connects different devices using the Internet. It enables the transmission of data, device tracking, and automation without physical intervention. This technology disrupts traditional approaches and offers business opportunities. Wireless communication standards play a crucial role in connecting sensors, actuators, and devices in our daily lives, making them "smart." IoT allows for the measurement and understanding of environmental factors, integrating wireless sensors and actuators. It envisions a future with countless internet-connected sensors generating vast amounts of data that can be analysed for valuable insights and innovation. One practical application of IoT is home or building automation, where devices can be connected and controlled remotely. IoT also enhances the quality of life through social communication. In the context of the COVID-19 pandemic, IoT has been used for contact tracing. Context-aware capturing involves modelling, interpreting, and storing sensor data linked to relevant variables. This chapter introduces IoT applications and discusses social and governance issues associated with its future vision. It addresses IoT as a key factor enabling the integration of various communication, identification, and tracking technologies
IOT IN ROBOTICS
Authors: PN Chethana
Published: June 2024

IoT in robotics can be described as the integration of smart technologies and connectivity into robots. It involves equipping robots with sensors, data processing capabilities, and the ability to connect to the internet. This connectivity allows robots to collect data from their surroundings, communicate with other devices or systems, and make informed decisions based on this information. For beginners, it's helpful to think of IoT in robotics as a way to make robots smarter and more autonomous. By connecting robots to the internet, they gain access to vast amounts of information and can learn and adapt to their environment in real-time. This connectivity also enables remote control and monitoring of robots, allowing for more efficient management and maintenance. In simpler terms, IoT in robotics enables robots to connect to the internet, collect and process data, and use that information to perform tasks more efficiently, intelligently, and with less human involvement. It opens up a world of possibilities for robots, making them more capable, versatile, and capable of interacting with the world around them.
THE ROLE OF GENERATIVE AI IN THE INTERNET OF THINGS
Authors: H. Manoj T. Gadiyar Dr. , Thyagaraju G S Dr. , Preethi Ms. , Kishor Shivathaya Mr. , Balapradeep K N Mr.
Published: June 2024

The integration of Generative Artificial Intelligence (AI) with the Internet of Things (IoT) has gained significant attention in recent years, opening up new avenues for innovation and enhanced functionality across various domains. This paper presents a comprehensive overview of the synergistic potential of combining Generative AI techniques with IoT technologies. The paper begins by elucidating the fundamental concepts of Generative AI and IoT, highlighting their individual characteristics and applications. Subsequently, it delves into the ways in which Generative AI can be seamlessly integrated into IoT ecosystems, enriching the data-driven capabilities of IoT devices and systems. The incorporation of generative models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), enables the generation of synthetic data that mirrors the underlying patterns of real-world data, thereby addressing challenges related to data scarcity and privacy concerns. Furthermore, the paper discusses various use cases that benefit from the amalgamation of Generative AI and IoT. These include data augmentation for training robust machine learning models in resource-constrained environments, anomaly detection through generative modeling of normal behavior patterns, and enhanced predictive maintenance through the synthesis of diverse failure scenarios.
A DIGITAL TWIN-ENABLED SYSTEM FOR SMART CITY
Authors: Poornima Galiveeti , Y Sudha , T N Manjunath
Published: June 2024

Many nations and governments view smart cities as a solution to resource depletion, population growth, and global warming. The process of building a smart city is fraught with difficulties. Digital twins hold great promise for the conversion of the current urban governance paradigm toward smart cities, along with the Internet of Things, fifth-generation wireless systems, smart contracts, collaborative computing, simulation, and artificial intelligence technologies. The idea of a digital twin city (DTC) is put forth in this essay. A DTC’s characteristics, core technologies, and use cases are de- scribed in detail. Additionally, we go over the theories, future directions for research, and framework for DTCs.
REMISSION OF ALGAL BLOOM IN AQUATIC LAKE AND POND RESERVOIRS VIA INDIGENOUS ALGICIDAL MICROORGANISMS
Authors: Sangeetha S. , Growther Dr. Lali
Published: June 2024

Eutrophication is referred as uncontrollable and undesirable growth of algae which case detrimental effect on human and animals. Moreover, it is polluting our aquatic environment to the greater extent. In eutrophication abundant germination of algae on the surface of the lake, pond or any aquatic reservoir. The natural source for increasing the algal content included, warmer temperature, abundant light and stable wind conditions. The man-made action causes the increases the level of nutrients in the water ecosystem which leads to the aggregation of these nutrients. Likewise, the most predominant source of these nutrients are improper fertilizers and manure usage, sludge from waste water treatment plant, septic systems, urban runoff or animal waste entering in the water reservoirs. These are affecting the lakes eco-system as well as the beneficial microbes. eutrophication forms mat like formation on the lake surface and subsequently, close the lake surface completely. Algal bloom affects the ecosystem by demisting the oxygen concentration and by releasing toxins into the ecosystem for instant, cynotoxins, brevetoxin, saxitoxin, micricystin and so on. The toxinsmay affect humans, animals, fish and beneficial microorganisms which are present in lake and pond reservoirs. Consequently, algal bloom toxins cause liver cancer and tumors via inhibiting the activities of protein phosphatases in humans and animals. Moreover, also peril effect like, reproductive toxicity, neurotoxicity, immunotoxicity, and other toxicities. For this threat there is a potential source to mitigate the abundant of the eutrophication of algae is bioremediation. The candidate which has the efficiency to remediate the algal concentration in the ecosystem was termed as "algicidal bacteria". This review highlights the formation and toxicity of algal bloom and mechanism of algicidal bacteria.
A COMPREHENSIVE REVIEW ON THE BIOSORPTION OF HEAVY METALS AND DIVERSE BIOSORBENTS USED FOR EFFECTIVE MITIGATION OF HEAVY METAL POLLUTION FROM THE CONTAMINATED SITES
Authors: Sivakumar Kasthuri , Ramasamy Shanmuga Priya
Published: June 2024

Heavy metals are defined metallic elements characterized by their high density and these metals have a specific gravity that is at least five times greater than that of water (5 g/cm3). Metals like zinc, nickel, and copper are needed for cellular growth of all the living beings in low concentration but at higher concentration all the heavy metals are toxic and cause negative effect in beings. Heavy metals are mainly discharged from the varied industrial sources including, metal smelting, coal combustion, mining, foundry and chemical manufacturing industries into the air, water and soil. Other than industrial discharge, domestic activities and agricultural practices may also accumulate heavy metals in the environment. Due to its toxicity, discharge of heavy metals should be closely monitored and regulated to protect human health and environment. Furthermore, to remediate the contaminated site, lots of conventional methods are employed, but due to its high cost, less effectiveness and the accumulation of large chemical wastes, an alternative method is needed for effective remediation of heavy metal from the environment. Thus, the important alternative method for the remediation of heavy metals is biological remediation (bioremediation). One of the principle and sustainable method in bioremediation is the biosorption method in which living or non-living biological materials, such as bacteria, fungi, algae and yeast were used for binding of heavy metal ions present in the environment. The biosorption process is influenced by a variety of factors that can affect its efficiency and effectiveness which includes pH, temperature, contact time, biomass dosage and initial heavy metal ion concentration. Hence, heavy metal biosorption is of great interest for researchers as it offers an eco-friendly and efficient method for mitigating heavy metal pollution from various industries, agricultural fields and natural environment. Thus, this review mainly focuses on biosorption process and its efficiency in the removal of heavy metals.
TISSUE ENGINEERING- BRIDGING SCIENCE AND MEDICINE
Authors: Dholakia Shalin , Patwardhan Shubham Anil
Published: June 2024

Over the past two decades the TERM system have aimed for the regeneration and reconstruction of tissues such as, skin, bone, cartilage, nerves, heart valves and tendons, etc., the scaffolds pooled with other bioactive materials like genes and cells are able to guide the occurrence of functionally engineered tissues. The scaffolding material used depends upon the type of tissue to be regenerated and can be made of many types of biomaterials for example natural, synthetic as well as inorganic or organic. Various types of biomaterials to be used as 3d scaffolds for tissue engineering and other emergent technologies for tissue specific considerations are discussed in depth in this chapter. The latest technologies akin to 3D behaviour and multicellular interactions are also outlined.
FUNDAMENTALS OF BIOFUELS
Authors: Sanjay Mr. M. , Prasadh Mr. S. Hari , Vivek Mr. R. , Vijayakumar Dr. C.
Published: June 2024

In 2011, 3% of the energy utilized for road transport globally came from biofuels. In 2011, 4% of the energy used for transportation was produced by biofuels in the United States, which is the world's biggest producer of biofuels. A total of 23% of the energy used for road transport in Brazil, the second-largest producer of biofuels in the world, was derived from biofuels in 2009. Global biofuel production on a large scale has the potential to significantly cut emissions from the transportation industry. In this chapter, we see about types of bio fuels and manufacturing raw material fuel production globally as well as some of the problems that large-scale biofuel production causes with regard to the environment and the usage of land.
EVOLUTION AND APPLICATION OF SMART SOIL MOISTURE SENSING TECHNOLOGIES IN PRECISION AGRICULTURE
Authors: B. S Dr. Chaitra , Mirji Dr. Gouri , C Dr. Sowmya
Published: June 2024

In Pedology and agricultural management, soil moisture is crucial for maintaining the physicochemical, biological, agronomical, ecological, hydrographical, and geomorphic soil features. The framework for managing irrigation and making efficient use of available water resources is provided by the soil moisture detection system. It contributes significantly to Precision Agriculture (PA) by constant monitoring of humidity and moisture content data in real-time. The high cost, the necessity of site-specific measurement, poor performance, and small sampling capacity of soil humidity sensors limit their applications. The objective is to investigate the effectiveness of all soil moisture monitoring systems in addition to the developments in novel detection methods and to assess their applicability in agricultural soil management. Based on their performance and design, a study of the benefits and drawbacks of soil moisture detectors is conducted. The development of sensor systems has led to an improvement in detection approaches by utilizing a set of technologies, including Wireless Sensor Networks (WSN), Internet of Things (IoT) and Remote Sensing (RS). The diverse RS, IoT, and WSN techniques utilized in Precision Agriculture are covered in this overview, along with their effects on the progress of "smart agriculture." This paper conducts a rigorous review of the WSN, RS, and agricultural IoT research status. To achieve smart and intelligent agricultural production, the study also focuses on the optimization of environmental parameters, such as soil property monitoring and irrigation management. Moreover, the issues and difficulties associated with detecting soil moisture are examined, and a projection for the future growth of agricultural IoT, RS, and WSNs is provided. Finally, this review discusses how novel technologies are potentially applied to detect soil moisture.
RECENT ADVANCEMENTS IN THETOXICOLOGICAL ASSESSMENT ANDBACTERIAL - MEDIATED BIODEGRADATION PATHWAYS OF PARACETAMOL
Authors: Gupta Asmita , Swati Mr. , Kumar Madan , Pasricha Rama
Published: June 2024

Paracetamol or acetaminophen (N-acetyl-para-aminophenol) (APAP) (C8H9NO2) is the most widely used over the counter (OTC) non-opioid analgesic and antipyretic agent used to treat mild to moderate pain and fever. Being an OTC drug, it is freely available, resulting in its rampant overuse, especially during Covid and in the post Covid period.Ingestion of Paracetamol at doses above the recommended levels has been found to causehistopathological and neurotoxic effects. Thus, this global issue of improper use and environmental discharge of paracetamol and the associated risks raise concerns and demand for a systematic approach towards its monitoring and remediation. Bioremediation of paracetamol from environmental samples using bacteria such as Pseudomonas sp., Bacillus sp., Enterococcus sp. has been shown to be aneffective, environment-friendly and low-cost method. The present chapter highlights the recent advancements in the toxicity studies on unnatural exposure to paracetamol and its bacterial biodegradation pathways.
FOUNDATIONS OF BIOELECTRONICSIN BIOTECHNOLOGY
Authors: Nalla Keshavi
Published: June 2024

Bioelectronics is the current gravitating field with the convergence of biology with electronics.Bioelectronics is a revolutionary field that was created as a result of the merging of biology and electronics.The field of bioelectronics deals with the integration of biological processes and electronics either by mimicking or observing the mechanisms on the molecular and cellular level. The acts of Information processing, Signal Transmission and Energy conversion have led to significant changes in the development of diagnostic and therapeutic devices. The consolidation of electronic elements for bio-related research has contributed consequentially to the related emerging fields. In brief, Thischapter explores the connections between cellular communication and electronic circuits, showing how the core ideas of the two fields overlap.The core of bioelectronics is the interface between biological beings and electronic elements. The crucial elements that mediate this interface, like electrodes, transistors, and sensors, are covered in detail in this subsection of this chapter. It illustrates how these parts allow biological impulses to be converted into electronic language.Bioelectronics has completely changed how biological processes can be sensed and observed at the molecular level. The interface that exists between biological molecules and electronic components is known as the bioelectronic interface. At this contact, the charge is transferred by a variety of processes, including the movement of ions and the passage of electrons. The distinction between ionic conductivity in biological systems and electronic conductivity in conventional electronic devices is explained in this subsection.This chapter explores the complex relationship between biological processes and electronic devices as a thorough introduction to the core ideas behind bioelectronics. We acquire insights into how different disciplines interact to produce technologies that span the gap between the living and the artificial by breaking down fundamental ideas and essential elements.