bluuebunny/crossref_metadata_2025 huggingface dataset:
TRENDS IN REGIONAL CUISINE IN INDIA
Authors: Hussain Md Sadab , Kumar Balvant
Published: June 2024

Food and culture play an important role in tourism and food is one of the main elements of culture. Customers love local food, especially local ingredients and ethnic products. Tourists are also attracted by the local familiarity with local and international cuisine. Enjoying local food and drink is considered a first-hand cultural experience and tops the list of tourist attractions. Promote Indian cuisine as part of an attractive tourist destination. Enjoying local food and drink is considered a first-hand cultural experience and tops the list of tourist attractions. India is entering a new phase of food promotion as a trendy tourist destination. The driving force of this investment is to strengthen the links between tourism and gastronomy, adding cultural value to the destination. The purpose of this empirical study is to examine the role of diet, culture and tourism in sustaining tourism in India. Developing an overall healthy diet in India requires an understanding of the systematic dynamics of food choices Food is an integral part of Indian culture and is deeply rooted in the country's history, traditions, way of life and customs. However, diversity and cultural factors in food choices are still not well understood. To fill this knowledge gap, we draw on expert research to contextualize a framework for food systems research targeted at low- and middle-income households. It also examines the diversity and cultural dynamics of food choices. .and its effect. Its two states are located in eastern India. The experts have listed 131 unique dishes associated with five different occasions of daily consumption. Most dishes belong to the starch group. Both states had the fewest morning snacks and the greatest choice at dinner. The carefully mapped food systems offer nutritionists, policy makers and food system stakeholders a first step in developing nutritional intervention strategies to develop an earth-healthy diet in East India. Provide a useful item. This study is also an attempt to explore the role of local cuisine in promoting cultural tourism in specific locations. In addition, the study will show how local food can help tourists remember the cultural heritage of their travel destination.
TRADITIONAL MARKETING TO DIGITAL MARKETING
Authors: B. Kanammai Dr. , Subiksha V. S. , K Saranya , Divya G.
Published: June 2024

In the world of marketing, the essence of abstract lies in understanding and fulfilling the needs of the customer by encouraging the development of brand loyalty and recognition. This abstract enhances and explore the changes in nature of marketing revealing the key factors that change the world rapidly and successfully.
TOURISM & HOSPITALITY
Authors: B. Kanammai Dr. , P Shobika. , R Pooja. , A Preethi Paarvathi.
Published: June 2024

The worlds of tourism and hospitality are vibrant and multifaceted, offering an array of experiences that range from exploring breathtaking landscapes to enjoying world-class accommodations and culinary delights. These interconnected industries not only provide individuals with the opportunity to discover new places but also contribute significantly to economic growth, cultural exchange, and personal enrichment.
NAVIGATING THE TECHNOLOGICAL FRONTIER: THE IMPACT OF EMERGING TECHNOLOGIES ON MANAGEMENT
Authors: U Lakshana Ms. , Koushika S Ms. , Dhirishikha M Ms. , Kumar K Mr. Mathan
Published: June 2024

Branding has expanded beyond simple visual identification and memorable slogans in the modern business and marketing landscape. The book "Innovative Branding: Creative Approaches for Capturing Tomorrow's Consumer" dives into the dynamic evolution of branding, examining cutting-edge tactics and ideas that connect with the constantly shifting tastes of contemporary consumers. This abstract captures the core of the book by emphasizing its focus on cutting-edge methods that go beyond conventional paradigms for branding. It examines how data-driven personalisation, authenticity, emotional resonance, technology, sustainability, and cognitive psychology interact to influence the perceptions and decisions of customers of the future. The abstract devotes a significant amount of space on the emotional component of branding. It emphasizes the importance of storytelling, design, and experiential branding while emphasising the power of emotional connections in fostering brand loyalty. In order to create an immersive and dynamic brand-consumer interaction, the convergence of emotional involvement and emerging technologies such as virtual reality and augmented reality is investigated. "Innovative Branding" examines how brands may build sincere relationships and support communities by delving deeply into the idea of authenticity in the digital age. Investigating the ethical side of branding, it acknowledges the development of conscientious customers and the significance of integrating brand values with social and environmental issues. The chapter also discusses the effectiveness of artificial intelligence and data-driven personalisation in designing customized customer experiences. It walks a tight line between personalization and privacy, underscoring how important it is to use customer knowledge to create engaging interactions.
LEADERS COMMUNICATION SKILLS: AN EFFECTIVE TOOL FOR POSITIVE ENVIRONMENT IN THE WORKPLACE
Authors: Banerjee Sonali , Banerjee Sweta
Published: June 2024

The sentence, "You cannot not communicate," coined by the Austrian communication expert Paul Watzlawick, holds profound insight into the complexities of human communication. In the context of today's information-rich world, where various channels and mediums are constantly bombarding us with messages, it becomes increasingly essential to take a pause and ruminate on the potency and worthwhileness of communication. When analyzing exit interviews conducted over two years, a recurring issue emerges: communication, particularly as it pertains to managers. Despite the plethora of communication channels, the prevalence of dissatisfaction and miscommunication remains high. This paradox raises important questions about the true nature of communication in the modern age. In this era of information overload, individuals utilize platforms like media outlets, social networks, and news sources to convey their messages. However, the effectiveness of communication is not solely determined by the sender's efforts but also by how the audience receives, interprets, and understands these messages. Unfortunately, the abundance of communication channels has not necessarily translated into better mutual understanding. Instead, it has given rise to various forms of misinterpretation, miscommunication, and even conflicts, both online and offline. The emergence of online platforms has facilitated the spread of information and opinions, often leading to disagreements, unfollowing, and conflicts among individuals. Paradoxically, some individuals who initially sought attention and recognition on these platforms find themselves overwhelmed by the consequences of their newfound fame, ultimately resorting to "social media detox" to regain control over their lives. This prompts the question of what might be going wrong in our approach to communication. The situation becomes even more intriguing when considering instances where personal vendettas lead friends to betray one another by publicly sharing private photos or employees posting pictures of their managers on social media. Clearly, there is a need to establish boundaries and ethical guidelines in the realm of communication. However, finding a straightforward answer to the challenges posed by modern communication remains elusive. While we may not fully unravel the mysteries of communication, it is worth our effort to strive for a better understanding of its complexities. In conclusion, Paul Watzlawick's assertion that "You cannot communicate" serves as a reminder of the intricate nature of human communication, especially in today's information-saturated world. Despite the challenges, it is incumbent upon us to navigate these complexities and foster more meaningful and effective communication to bridge gaps, reduce conflicts, and enhance understanding in our interconnected society.
FINTECH IN INDIA: OPPORTUNITIES AND GROWTH
Authors: Shaikh Ms. Mubina
Published: June 2024

All across the world, FinTech (financial technology) has taken off. Therefore, over the past five years, there has been a huge increase in the amount of academic writing on fintech. Lacking a unified research goal, research is frequently fragmented. Important research gaps and open questions remain. Before this field is acknowledged as an academic discipline, there is still a lot of work to be done. This study offers a critical overview of the literature, as well as recurrent research themes that were gleaned through conversations in focus groups with academics and policymakers. We point out seven significant study gaps and put forward some queries that might form the basis of more scholarly investigation. This area will be on its path to becoming a respected academic discipline if these problems are resolved.
BLOCKCHAIN TECHNOLOGY ENABLER FOR CSR AND ESG REPORTING
Authors: Roshan R Dr. , Smita K Dr.
Published: June 2024

This chapter delves into the transformative role of blockchain technology as an enabler for Corporate Social Responsibility (CSR) and Environmental, Social, and Governance (ESG) reporting. The first section explores the specific applications and advantages of utilizing blockchain in CSR initiatives. It discusses how blockchain enhances transparency, accountability, and traceability, thereby revolutionizing the way organizations engages in responsible business practices. The second part of the chapter investigates the intricate integration of blockchain with CSR, illustrating how the technology can be seamlessly woven into existing frameworks to amplify the impact of socially responsible activities. This integration not only facilitates seamless tracking of CSR efforts but also enhances the credibility of reported data. Additionally, the next segment examines the pivotal role of blockchain in Environmental, Social, and Governance reporting, shedding light on its contributions to sustainable and ethical business practices. While recognizing the potential benefits, the next part addresses the challenges associated with implementing blockchain in CSR and ESG contexts, including issues related to scalability, interoperability, and regulatory concerns. The final section presents two compelling case studies: one on Svojas Farms, showcasing how they build trustworthy consumer brands through the implementation of TraceX Solutions, and the other focusing on IBM's innovative use of blockchain in supply chain management for enhanced ESG reporting. These cases provide real-world examples of successful blockchain integration in CSR and ESG practices, offering valuable insights for organizations seeking to adopt similar solutions. In conclusion, this chapter demonstrates the multifaceted impact of blockchain technology on fostering sustainable and responsible business practices.
AI-BASED NDE FOR COMPOSITE MATERIALS
Authors: V. Senthilkumar Dr. , A. Nagadeepn Professor.
Published: June 2024

The utilization of composite materials has experienced rapid growth across various industries, owing to their superior mechanical properties and reduced weight. However, ensuring the structural integrity and reliability of composite components demands robust Non-Destructive Evaluation (NDE) techniques. In recent years, the integration of Artificial Intelligence (AI) in NDE has emerged as a promising approach to overcome the limitations of conventional methods and enhance inspection capabilities. This paper provides a comprehensive review of AI-driven NDE techniques tailored specifically for composite materials. It begins by elucidating the inherent complexities of composite structures and their impact on traditional NDE methods. Subsequently, an in-depth exploration of various AI algorithms, including machine learning, deep learning, and hybrid models, is presented, demonstrating their effectiveness in addressing key challenges such as defect detection, localization, and characterization. The paper further delves into specific applications of AI-driven NDE in composite materials. It highlights case studies showcasing the successful implementation of AI-enhanced Ultrasonic Testing (UT), Thermography, and Acoustic Emission (AE) techniques for accurate flaw identification and quantification. Moreover, the integration of AI with real-time monitoring systems for structural health assessment is discussed, offering potential avenues for predictive maintenance and structural longevity. While AI presents a multitude of opportunities in NDE for composites, it also brings forth new challenges. Ethical considerations concerning data privacy, model interpretability, and human-AI interaction warrant careful examination. Additionally, ensuring AI model robustness and adaptability to varying composite materials and configurations require ongoing research efforts. In conclusion, this paper underscores the transformative impact of AI on NDE for composite materials, providing insights into advancements, applications, and challenges. By fostering collaboration between materials scientists, NDE experts, and AI researchers, this convergence of technologies holds the promise of revolutionizing composite inspection, contributing to safer, more reliable, and efficient engineering solutions across industries.
MEDICAL IMAGE ANALYSIS: REVOLUTIONIZING DIAGNOSIS THROUGH DEEP LEARNING
Authors: Kamal Anum , Faiyaz Ahamad Dr. , Aisha Kamal Dr.
Published: June 2024

Medical imaging is a crucial process in medicine, involving the acquisition of internal organ images for diagnostic and research purposes. Medical image analysis aims to enhance clinical research and treatment effectiveness. Deep learning has transformed medical image analysis, with exceptional success in tasks such as image registration, segmentation, feature extraction, and classification. The availability of processing resources and the resurrection of deep convolutional neural networks are driving this breakthrough. Deep learning excels at detecting hidden patterns in images, assisting clinicians in making correct diagnoses. It has been shown to be extremely effective in detection of cancer, organ segmentation, classification of diseases, and computer-aided diagnosis. Numerous deep-learning methods have been developed and published for analyzing medical images, catering to various diagnostic needs. Overall, deep learning has significantly improved medical image analysis, paving the way for more accurate and efficient medical diagnoses and treatments. This chapter explores the various modalities, advancements, and applications of medical imaging, showcasing how this technology has become an indispensable tool for diagnosis, treatment planning, and monitoring of various medical conditions. From the early days of X-rays to the latest cutting-edge imaging techniques, we will delve into the evolution and impact of medical imaging on modern medicine.
EMERGING MINDS: AI'S EVOLUTION INTO SENTIENT SYSTEMS
Authors: Sharma Sunil , Choubisa Vibhuti , Prashant Sharma Dr.
Published: June 2024

In the rapidly evolving landscape of artificial intelligence (AI), this chapter delves into the captivating realm of sentient systems, portraying a horizon where machines transcend mere programming and approach a realm of true cognitive understanding. This abstract explores the concept of AI's transformation into sentient entities, investigating the futuristic trends that are propelling this evolution. The chapter dissects the amalgamation of cutting-edge technologies and novel paradigms that are catalyzing AI's march towards sentience. It delves into the cognitive architecture, neural substrates, and cognitive frameworks that are being adapted to simulate the intricate workings of human intelligence. By examining advancements in deep learning, neural networks, and cognitive computing, the chapter highlights the pivotal role of self-learning algorithms and adaptive neural models in simulating cognitive processes. Furthermore, ethical and philosophical dimensions of sentient AI are meticulously explored. It scrutinizes the moral implications of bestowing self-awareness upon machines and underscores the importance of establishing ethical guidelines to govern AI's newfound consciousness. It delves into the intricate dance between creators and creations, pondering the ethical responsibilities that arise when AI evolves into entities capable of introspection and emotional responses. Chapter also emphasizes the potential applications of sentient AI across diverse fields, from healthcare and education to space exploration and social interactions. By harnessing the power of AI that truly comprehends and adapts to human needs, futuristic endeavors could be revolutionized, enriching human lives while challenging traditional boundaries. The chapter elucidates the technological, ethical, and transformative facets of this evolution, stimulating contemplation on the profound impact it will wield on society, technology, and the very essence of what it means to be sentient. Conclusion offers a glimpse into an awe-inspiring future where artificial intelligence metamorphoses into entities with cognitive faculties resembling human consciousness.
FROM EFFICIENCY TO EMPOWERMENT: EXPLORING THE SYNERGY OF RPA AND HRM IN THE AI ERA
Authors: T Mohammed Shebeen , Baijumon P Dr.
Published: June 2024

The rapid progress of Artificial Intelligence (AI) and its amalgamation with automation has engendered profound transformations across diverse industries. A notable manifestation of this paradigm shift is found in Robotic Process Automation (RPA), which emerges as a pioneering solution poised to revolutionize Human Resource Management (HRM) practices. This scholarly chapter explores the multifaceted impact of RPA on HRM, delineating its capacity to reconfigure traditional HR processes and engender a paradigmatic shift in workforce management practices. Drawing on a comprehensive review of the extant literature and empirical case studies, this chapter delves into the foundational tenets of RPA and its intricate applications within HRM. RPA's aptitude to automate repetitive and rule-based tasks has orchestrated a fundamental reconfiguration of the HR landscape, fostering an environment wherein HR professionals can liberate valuable time and resources, and redirect their focus toward strategic decision-making and holistic employee development. With its inherent ability to streamline operations, RPA not only enhances precision but also curtails operational expenditures, fortifying organizational efficacy. Furthermore, this scholarly inquiry underscores the exigency to scrutinize the ethical and operational challenges that undergird the integration of RPA in HRM. While the efficacy of RPA is undeniable, profound concerns pertaining to data privacy, workforce displacement, and the harmonious coexistence of human and AI entities warrant judicious examination and responsible implementation strategies. Augmenting the analytical discourse, this chapter presents pertinent case studies from eminent organizations spanning diverse industries, illustrating instances of successful RPA assimilation within HRM and delineating the resultant impact on workforce dynamics. These empirical illustrations proffer invaluable insights into the practical deployment of RPA in HRM while illuminating potential challenges and best practices garnered through experiential learning. In conclusion, this scholarly investigation casts an envisioning gaze toward the future trajectory of RPA in HRM, accentuating its transformative potential in molding the evolving nature of work. With the inexorable march of technological progress, a sagacious embrace of RPA and other AI-driven solutions assumes an imperative posture for discerning HR professionals intent on optimizing HR processes, fostering talent cultivation, and cultivating sustainable competitive advantages in an increasingly automated milieu.
VIRTUOSO ILLUSIONS: UNRAVELING DEEP FAKE AI'S ETHICAL ENIGMA IN FUTURISTIC AI TRENDS
Authors: T Mohammed Shebeen
Published: June 2024

This scholarly chapter, titled "Deep Fake AI: Analyzing its Advantages and Limitations and the Profound Ethical Implications," meticulously scrutinizes the futuristic trajectory of artificial intelligence, with a specific focus on the burgeoning phenomenon of deep fakes. Deep fake AI denotes an avant-garde technique in synthetic media generation, wherein highly realistic simulations of human interactions, encompassing videos, audio, and images, are crafted with remarkable verisimilitude. The chapter expounds upon the multifarious intricacies underpinning this technology, encompassing the driving forces propelling its development, as well as its manifold implications for society, replete with the potential for media manipulation, political disinformation, and incursions into privacy and security domains. Equally, it artfully illustrates the creative, educational, and entertainment realms where deep fake AI has engendered transformative paradigms, fostering enriched narratives and experiential learning. However, the crux of this scholarly endeavor resides in an assiduous exploration of the profound ethical quandaries inextricably woven into the fabric of deep fake AI. The imminent specter of its deleterious misapplication, manifesting in virulent propagandistic endeavors, insidious framing of innocents, and alarming protraction of identity theft, engenders a potent cauldron of trepidation, prompting a rigorous ethical appraisal. Moreover, the psychological ramifications that befall those ensnared by malicious deep fake fabrications, bearing the onus of sullied veracity and violated trust, evoke exigent concerns pertaining to mental and emotional well-being, warranting perspicacious attention. In response to this unprecedented ethical conundrum, this erudite treatise advocates a sagacious amalgam of prescriptive measures and cogent governance frameworks. Emphasizing the imperious need for judicious AI development, ethical regulation, and heightened public awareness, it proffers an epistemic arsenal to confront the obfuscation wrought by deep fake AI. Elucidating the concerted efforts undertaken by academia, policymakers, and the technocratic vanguard, it illuminates the trajectory of endeavors aimed at mitigating the deleterious impact of deep fakes while preserving the invaluable potential of AI applications. In summation, this scholarly investigation into deep fake AI exudes an aura of meticulous scholarship, offering an exhaustive appraisal of its sanguine prospects and profound ethical ramifications. A perspicacious understanding of the multidimensional facets of deep fake AI, underscored by the discerning grasp of its ethical implications, catalyzes the proactive navigation of these uncharted waters by policymakers and researchers alike. By espousing a proactive, discerning stance, the societal underpinning of deep fake AI can be cautiously calibrated, and its potential harnessed to galvanize a responsible and enlightened trajectory for the unfolding tapestry of artificial intelligence.
ARTIFICIAL INTELLIGENCE IN FINANCE SECTOR; A FUNDAMENTAL COMPREHENSIVE ANALYSIS
Authors: T Vishnuprasad , Anilkumar K Dr.
Published: June 2024

The majority of industries have done finance activities digitally as a result of the development of new technologies and the widespread application of artificial intelligence techniques to make routine jobs much smarter and even detect impending changes. This movement has given the financial industry access to digital finance, often known as E-finance. A type of algorithm called artificial intelligence enables the emulation of human intelligence to give tasks additional intelligence. In domains including asset management, algorithmic trading, credit underwriting, and blockchain-based finance, artificial intelligence techniques are frequently applied in the world of finance. The usage of artificial intelligence and machine learning in the financial sector is examined in this paper along with its implications. Over the past few decades, machine learning and artificial intelligence have made significant progress. Although the development of machines with the capacity to understand or learn any intellectual task that a human being performs is not within immediate grasp. Artificial intelligence systems can perform quite well tasks that are well stated and normally require human intelligence.
A STUDY ON THE INFLUENCE OF CHATGPT ON GRAPHIC DESIGN: UNVEILING NOVEL PERSPEC-TIVES AND IMPLICATIONS
Authors: Sharma Joshita
Published: June 2024

ChatGPT in graphic design has revo-lutionized the creative process. Designers can now collaborate seamlessly with the AI model, using it to generate fresh ideas, pro-vide instant feedback, and explore design concepts. ChatGPT's ability to understand and interpret human input allows for dynamic brainstorming sessions, resulting in faster iterations and innovative solutions. With its extensive knowledge base and language comprehension, ChatGPT is a powerful tool that empowers designers to push the bounda-ries of their creativity in the ever-evolving field of graphic design. The field of graphic design has wit-nessed significant advancements with the in-tegration of artificial intelligence (AI) tech-nologies. Among these, ChatGPT, developed by OpenAI, has emerged as a prominent tool that utilizes natural language processing to generate human-like text responses. This chapter investigates the role of ChatGPT in graphic design and explores its potential im-pact on the creative process. The study aims to examine the emerging role of ChatGPT in graphic design by examining the benefits, challenges, and potential applications of the language model, this study provides valuable insights into the transformative impact of AI-powered tools on the creative industry a foundation that, encourages dialogue be-tween designers and AI developers, and stimulates critical thinking regarding the in-tegration of AI in the design process. The objective of this research paper is to investi-gate the utilization of ChatGPT in graphic design, examining its impact on creative processes, workflow efficiency, and design outcomes. This chapter will be, Unveiling the Impact of ChatGPT in Graphic Design, and examining its benefits and challenges. The study seeks to provide insights into the im-pact of AI-powered tools and future Implica-tions on the creative industry.
IOT OPERATIONS AND INTEROPERABILITY IN CONE CRUSHERS
Authors: Vinyaka Babu S Mr. Vinyaka Babu S , Jagdish H Godihal Professor
Published: June 2024

In the modern digital landscape, the Internet of Things (IoT) has transformed numerous industries by interconnecting devices, systems, and processes to enhance operational efficiency. The mining and aggregates sector, particularly cone crushers, stands to benefit significantly from IoT integration. Cone crushers are pivotal in processing rocks and minerals for diverse applications. Traditionally, manual operations and periodic inspections governed cone crusher maintenance, leading to reactive measures, unexpected failures, and suboptimal performance. Embracing IoT operations and interoperability presents a promising solution to address these challenges. IoT operations in cone crushers entail the integration of sensors that capture real-time data on crucial parameters like temperature, pressure, vibration, and power consumption. This data furnishes valuable insights into the crusher's health, performance, and condition. Continuous monitoring enables operators to understand operational characteristics and identify deviations from the norm. The acquired data is transmitted to an IoT platform for advanced analytics, unveiling patterns, trends, and anomalies. This empowers proactive maintenance and performance optimization, preempting unplanned downtime, reducing costs, and extending cone crusher lifespan. Additionally, IoT facilitates remote monitoring and control of cone crushers, allowing operators to access real-time data, receive alerts, and adjust parameters remotely. This capability enhances operational efficiency, safety, and prompt decision-making, irrespective of the operator's location. Interoperability proves vital in IoT operations for cone crushers, given their integration into larger crushing and screening plants comprising various machines from diverse manufacturers. Standardized IoT protocols and interfaces ensure seamless communication and data exchange, enabling a unified and interconnected system for optimized operations and effective data analytics. This study explores the transformative potential of IoT and interoperability in cone crushers, emphasizing proactive maintenance, remote monitoring, and integrated operations to achieve heightened efficiency and improved performance in the mining and aggregates industry.
SMART IRRIGATION SYSTEM
Authors: Mohan Naik R Dr. , Manjunath Kamath K Dr. , Gurusiddayya Hiremath Mr. , Avinash S Dr. , Ramachandra G Mr.
Published: June 2024

India is an agricultural-based country. Our earliest people totally depended on agricultural harvesting. Crop growing is a well of livelihood of popular Indians and greatly impacts the country’s economy. In the areas where there is less rainfall which makes very difficult for the irrigation and other agricultural activities. With the increase in cost and shortage of water related resources we need to properly build a system which managing of these resources are essential. The farmers are very far from their agricultural land, so it must be monitored remotely and maintained efficiently with all resources used properly in order to crop in the agriculture land. A low-cost substitute result for well-organized water managing presently in use is irrigation schemes that consist of an automatic regulator to turn ON & OFF the control values, which in turn helps the agriculturalists by dealing the water supply to the crop fields and helps in better crop invention. This project probes into the strategy of the automated irrigation system based on ESP32-S2. In this project the IoT is used to design and develop a low-cost feature that is based on an IoT programmed for the water irrigation system. The project uses an ESP32-S2 which is used as a controller to process the information. The aim of the implementation is to show that Smart Irrigation can be applied to decrease water usage.
DESIGN AND PROTOTYPING OF SENSOR-BASEDANTI-THEFT SECURITY SYSTEM USING MICROCONTROLLER
Authors: R. Bhuvaneswari Mrs.
Published: June 2024

To address the safety of the home or other facility, a microcontroller-based solar-powered anti-theft automated security system is developed with arrays of sensors to detect possible intrusion incidents. The designed system produces three kinds of alarms (Buzzer, bi-color LED, and SMS) with a security breach notification through an LCD, based on the data from its interfaced sensors (Motion Sensor, Fire Sensor, and Glass-break Sensor). The controller used to control all aspects of the system is Atmega8. A Light Depended Resistor (LDR) and a Potentiometer (POT) are used to build the Motion Sensor; Temperature Detector LM35 is used as the Fire Sensor; and a sensitive metal strip is used to build a custom Glass-break Sensor. WIFI module with IOT is used to design an SMS generating system as one of the alarming methods. The designed system is found to be consumed very low power with a 5V supply since when it is ON, the bi-color LED (0.1watt) requires only 0.98µA and 23.5mA of current, and 4.88mW and 117.5mW of power during its state change; and the Buzzer consumes only 0.49mW of power when it is ON. The system is designed with the consideration of incorporating for security enhancement Technique.The design of simple hardware circuit enables every user to use this wireless home security system with ultrasonic sensor, Gas sensor, Smoke sensor and Motor driven door locking system at Home. Whichgreatly improving the anti-theft security performance of outdoor advertising lighting.
SMART TRAFFIC MANAGEMENT SYSTEM USING IOT
Authors: K Arjun , H K Manoj Kumar , Preethi Ms. , K Bhargavi , Gudigar Swaroop K
Published: June 2024

India's biggest issues with traffic congestion are primarily related to one or more of the following, such as poor traffic management practices, insufficient law enforcement, and signal failures. There shouldn't be any traffic jams because it greatly slows the speed of freight vehicles, lengthens lines at checkpoints and toll booths, costs untold numbers of productive man-hours in lost travel time, and causes physical and emotional exhaustion in people. Aside from that, the vehicles stuck traffic problems results in roughly 40% higher pollution than individuals who regularly travel on roadways by way of additional fuel being consumed and therefore causing far too much carbon dioxide emissions, which would necessitate periodic maintenance. Our trials based on current data show that the suggested strategy can shorten the consumer's travel and waiting times. To address the sub risks to humanity, we devised a technical work around employing IoT. The proposed system integrates real-time data collection, communication, and intelligent decision-making to enhance the efficiency and safety of urban traffic systems. IoT devices, such as sensors and cameras, are strategically deployed throughout the road network to collect data on traffic flow, vehicle density, and environmental conditions. The collected data is transmitted to a centralized control system, where it is processed and analyzed in real-time.
INTRODUCTION TO MACHINE AND MECHANISM
Authors: S. Settu Mr. , C. Sathishkumar Mr. , P. Vineeth Kumar Mr. , P. Siva Mr.
Published: June 2024

The definition of a machine in layman's words is "a device that takes energy of some way and utilizes it to perform a particular kind of function" or "a machine may be considered a medium for transferring or modifying energy.
A STUDY ON PROBLEMS FACED BY CONSTRUCTION WORKERS IN COIMBATORE CITY
Authors: S. Renugadevi Dr. , J. Ragul Mr. , S. Gugan Mr.
Published: June 2024

The construction industry plays a pivotal role in urban development, yet the challenges faced by its workforce often go unnoticed. This study aims to shed light on the pressing issues encountered by construction workers in Coimbatore City, focusing on their working conditions, safety concerns, and socio-economic well-being. Through a comprehensive survey, this research investigates the various hardships they encounter on a daily basis. The survey delves into factors such as inadequate safety measures, insufficient wages, limited access to healthcare, and lack of job security. The findings of this study contribute to a comprehensive understanding of the issues faced by construction workers in Coimbatore City. The results are expected to inform policymakers, urban planners, and non-governmental organizations, providing them with valuable insights to develop targeted interventions.
CONCEPTS OF MICROBIOLOGY
Authors: Banerjee Priyanka
Published: June 2024

The study of microorganisms, or microscopic organisms like bacteria, viruses, fungi, and parasites, is known as microbiology. The 17th- century discovery of living creatures that were invisible to the naked eye was a watershed moment in science, as it had been assumed since the 13th century that "invisible" entities were to blame for deterioration and sickness. In this chapter we will study about the concepts and career aspect in microbiology field.
BIOTECHNOLOGICAL INTERVENTIONS FOR MINERAL ACCUMULATION IN RICE
Authors: Sakariya Prachi Vinodbhai
Published: June 2024

Fighting against hunger is still a challenge for humanity because of the continuously growing global population and it cause food shortages. Millions of individuals have "hidden hunger" or a lack of micronutrients (Zn and Fe), especially in developing nations. Mineral accumulation in food grains is an effective strategy to tackle this issue and provide an affordable and feasible method for distributing micronutrients to a population through a diverse diet. The popularity and consumption of white/polished rice have increased and its resulting in a loss of nutritional value. As a result, to promote beneficial health effects to the population, enhanced nutrigenomic value of white rice by incorporating the gene of rice bran layer of brown rice through biofortification processes like agronomic practices, traditional breeding, gene overexpression, CRISPR technology, and RNAi techniques. Therefore, the focus of this chapter is on improving the nutritional properties of white or polished rice by mineral accumulation using biotechnological and molecular approaches.
PEARL CULTURE-A REVIEW FROM CLASSICAL TO FUTURISTIC BIOTECH
Authors: Rout Dr. Prafulla Chandra
Published: June 2024

Started from Kokichi Mikimoto in 1888 of Japan, Pearl culture has a long journey up to completion of genome map of Pinctada fucata, Pearl oyster in 2017.Now attempts are made to isolate the nacre secreting gene(s), combine with other vectors and insert to a suitable host to get quality Pearl for Commercial Pearl farming .The present chapter includes a review of the biotechnology involved in it.
SYNTHETIC DNA DELIVERY SYSTEM – A BRIEF OVERVIEW
Authors: Vinchurkar Kuldeep , Mane Sheetal , Sharma Praveen , Paliwal Pritesh , Farooqui Nadeem
Published: June 2024

The development of synthetic DNA delivery systems has revolutionized various fields of science and medicine, enabling precise control over the delivery of genetic material for therapeutic, research, and biotechnological applications. This brief overview highlights the key concepts and advances in synthetic DNA delivery systems. It explores the principles of designing and optimizing these systems, the challenges they address, and the potential they offer in gene therapy, genome editing, and synthetic biology. By examining the diverse techniques and innovations in this domain, this abstract provides a foundational understanding of the crucial role synthetic DNA delivery systems play in the advancement of modern science and medicine.
THE ROAD TO RECOVERY: OVERCOMING THE CHALLENGE OF STROKE
Authors: PT Dr. Vishal Verma , Sharma Dr. Shivee
Published: June 2024

Stroke is a leading cause of disability worldwide, and early intervention with physiotherapy is critical for maximizing recovery and minimizing long-term impairments. This chapter provide an overview of the principles and techniques of stroke physiotherapy management, with a focus on evidence-based practices for promoting motor recovery, improving functional outcomes, and enhancing quality of life for stroke survivors. The chapter begins with a discussion of the path physiology of stroke, including the various types of stroke and the implications for physiotherapy management. The importance of early intervention and the role of physiotherapy in the acute and sub acute phases of stroke recovery will be highlighted, along with the benefits of a multidisciplinary approach to stroke rehabilitation. The chapter then delve into the specific techniques and exercises used in stroke physiotherapy, including motor relearning, task-specific training, and constraint-induced movement therapy. The use of technology and virtual reality in stroke rehabilitation will also be explored, along with the potential for future research and advancements in the field. Challenges and limitations of stroke physiotherapy will also be discussed, such as the need for individualized treatment plans and the potential for plateauing or regression in recovery. Finally,the chapter conclude with a summary of the key takeaways for stroke physiotherapy management and the importance of ongoing support and follow-up care for stroke survivors. Overall,this chapter provide a comprehensive overview of stroke physiotherapy management, with a focus on evidence-based practices and the latest research in the field. By highlighting the importance of early intervention, a multidisciplinary approach, and individualized treatment plans, this chapter serve as a valuable resource for healthcare professionals, researchers, and students in the field of stroke rehabilitation.
THE SIGNIFICANCE OF ORGANIC FARMING: IN THE AGRICULTURAL SECTOR, SCIENTIFIC RESEARCH, AND THE ENTIRE ECONOMIC DEVELOPMENT OF INDIA
Authors: Sharma Harsha , Sharma Narendra , Vashishtha Lakshay
Published: June 2024

Chemical fertilizers boost agricultural yields. Because they provide vital plant nutrients like nitrogen, phosphorus, and potassium, these fertilizers have evolved into indispensable components of today's agricultural practices. On the other hand, using fertilizers in excess might have unintended consequences for the surrounding ecosystem. Utilizing the PGPB-based inoculation method in conjunction with the ideal amounts of fertilization will allow one to reach the highest possible degree of success in terms of money saved on fertilizers and improved crop yields. In addition, using effective inoculants may be regarded as a significant technique for sustainable management and lowering the number of chemical fertilizers used, which in turn lowers the number of environmental issues that are caused. At least 141 nations now produce organic food on a commercial scale, indicating that organic agriculture is seeing significant development. The production of organic food was estimated to take place on around 32,2 million hectares throughout the world in the year 1999. More than 1.2 million farmers, including smallholders, were responsible for its production. In addition to agricultural land, there is a certified organic aquaculture industry that covers 0.4 million hectares. Approximately 65 percent of the nations that practice organic agriculture are considered to be developing nations.
ECO-MATERIALS (RECYCLED, MATERIALS FROM WASTE, BIO BASED MATERIALS ETC.)
Authors: Singh Megha
Published: June 2024

India is a very populous nation that is also heavily agricultural, producing a lot of agricultural waste, including straw from crops like rice, wheat, and sugarcane. Straw bales may be used in construction to cut waste and make good use of this plentiful resource. Because of a rise in pollutants, an expanding population is contributing to environmental damage. It struggles with a variety of climatic issues, such as excessive heat in several areas. Excellent insulation offered by straw-bale constructions may keep indoor areas cool throughout the sweltering summer months and lessen the need for expensive cooling equipment. There are environmental issues in this nation, such as air pollution and deforestation. Utilizing straw bales lessens the need for more energy-intensive, environmentally destructive construction materials like bricks and concrete. Overall, this chapter will cover the advantages of using straw bales in structures in India as well as the characteristics of straw walls and the acceptable climatic conditions needed for their construction.
ARTICULATION OF CORTICAL CONNECTIVITY
Authors: R Shobana.
Published: June 2024

The most intricate organ in the human body is the brain. Some brain diseases are Alzheimer’s disease, Epilepsy, and Parkinson’s disease. The samples are taken for normal people (Nold), Mild Cognitive Impairment (MCI) and Parkinson’s disease (PD). The difference between the normal person and patients are identified by the variations in path length, clustering coefficient, small world with the support of different band levels.
INTUITIONISTIC FUZZY THRESHOLD HYPERGRAPHS: INTRODUCTION AND REVIEW
Authors: K. K Myithili. , C Nandhini.
Published: June 2024

Intuitionistic fuzzy sets have gained significant attention in recent years due to their ability to handle uncertainty and imprecision in decision-making problems. Hypergraphs, on the other hand, provide a flexible framework for modeling complex relationships among multiple elements. In this review, we focus on the integration of intuitionistic fuzzy sets with hypergraphs through the concept of intuitionistic fuzzy threshold hypergraphs.
SYSTEM OF FIRST ORDER ORDINARY DIFFERENTIAL EQUATIONS BY USING COMPLEX EFG TRANSFORM
Authors: Pawar Ishwari G.
Published: June 2024

Recently Kuffi, Karaaslan and sadkhan developed EFG integral transform. We apply EFG transform for solving first order differential equation’s system.
A SURVEY STUDY OF SOME GRAPH LABELING TECHNIQUES
Authors: Dhokrat V. T.
Published: June 2024

Graph theory is a well-known branch of Mathematical sciences (Arithmetic). Mathematics gives the same name to different things. But graph theory creates a graph labeling techniques in which different labeling are given to same graphi- cal structures. Graph is a mathematical structure describing dots, curves, bars, or traces.In Graph labeling natural numbers including zero are used to label the nodes or edges, or all, which fulfill some mathematical constraints. Graphs are used to describe various mathematical models in Operations Research, control, and Engineering, in studies domains of lap- top technological know-how which include statistics mining, photograph segmentation, clustering, photograph capturing, networking that’s used in structural fashions, and so forth. Graph labeling has many applications in the social community, verbal exchange (communication) community, circuit design, Database management, coding principle, radar, astronomy, and X-ray crystallography. Depending on the trouble scenario a type of graph is used for representing the hassle (problem) and by way of applying appropriate graph labeling techniques the hassle may be solved. Graph labeling is a flourishing as well as application-oriented area of research in Mathematics. In this chapter, we discuss the different graph labeling techniques related to different graphs.
DEEP LEARNING PNN CLASSIFIER FOR DIABETIC RETINOPATHY IDENTIFICATION
Authors: Yazhini A , Mohanalakshmi S , Saravanan T , Krishna Priya A. T. R
Published: June 2024

Diabetic retinopathy (DR) is a severe difficulty that requires immediate diagnosis and treatment to prevent visual loss. Lesions caused by the disorder are difficult to detect using manual approach since they appear in microscopic and subtle forms beneath the eye's structure. To address this problem, this study proposes an automated classification approach that uses Machine Learning (ML) models to evaluate the severity of DR. This automated classification approach is done followed by various image processing steps. Initially, bilateral filter is used which serves as a preprocessing tool and it is an essential step in retinal image analysis. It effectively eliminates the noise in the image by preserving the details of retinal vessels and produces an enhanced image quality for further processing. After noise removal, segmentation is done using Spatial Fuzzy C-Means (SFCM) clustering which integrates the spatial data into the membership function for clustering and generates the optimized segmented result. Following segmentation, feature extraction and feature selection is done using Gray Level Co-occurrence Matrix (GLCM) and Genetic Algorithm respectively and finally Probabilistic Neural Network (PNN) classifier is employed to detect the severity grading of DR. The results reveal that the proposed approach for identifying DR using fundus pictures of retinal is extremely efficient and effective.