Volume 12 | Issue 2

 Abstract

Energy consumption has become major concern in Tropical region where the heat ingress during the day is high due to the use of modern material concrete glass, aluminum etc. So, this demand has to be addressed by an alternate material which has a lower embodied energy & which can also give better results in terms of thermal perform in a built structure. CSEB is an identified alternative material which is now widely picking up in few areas for the built structures which seems to be addressing the heat ingress & lowering the temperature & gives better human comfort this has to be proved by quantitative approach or few empirical. This paper has been intended to have a quantifiable result by the size of CSEB block in the built structure & the results taken in the field seems to be satisfactory with both quantitative & subjective evolution. This experiment is carried out in coimbatore for a single residence of a family & the results were analyzed.

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Ecotect, Building Simulation, Effective Shading Coefficient, Indoor thermal comfort, passive shading strategies, External Shading; Coimbatore Climate.

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The social background of the elderly is very important in understanding their living conditions, perceptions and expectations from the family members, the community and the state in terms of their needs. The tribal elderly women with various cultural backgrounds follow various customs and beliefs, which ultimately mould their lifestyles. Understanding their social background in terms of culture and family life situations would probably help their problems. The social background of a person is expected to have a vital influence on the living conditions of the elderly women.

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Perception, living conditions etc.

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ABSTRACT Tamilnadu is a major Paramount factor in drawing the national and international Excursionist due to its diverse, pilgrimage destination, heritage and food etc., Tamilnadu is ranked first in domestic and international tourism arrivals. Tamilnadu government took more promotional activities to attract more Excursionist. Tamilnadu has more than 4,000 years of continuous cultural history. TTDC [Tamilnadu Tourism Development Corporation] was incorporated during July 1971 under the companies Act 1956. Tamilnadu Tourism one of the most preferred hotspots for the Excursionist. Domestic Excursionist can be easily determining a number of comfortable stay for their boarding places in Tamilnadu, Excursionist stay, star hotels and resorts. Tamilnadu tourism especially leads in medical, pilgrimage cultural, rural and eco-tourism.

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Key words: Tamilnadu, Excursion, Promotion, Culture, Travel, Heritage

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Abstract In the pretext of consumers purchase decision consumer faces dilemma of making purchase decision from different competing brands thus this study explores the impact of brand equity on purchase decision using five-asset model. Factor analysis was employed to gauge the brand equity. This research investigated brand equity of food delivery apps at Tiruchirappalli using descriptive method. The primary data collected from 256 sample respondents using convenience sampling technique. The results of regression analysis indicated that dimensions of brand equity significantly influence purchase decision.

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Keywords: Brand Equity, Consumer, Decision.

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The emergence of voice-activated assistant technology has markedly reshaped the dynamics of communication between humans and machines. Top of Form This research paper explores the integration of voice assistants into robotic cars, announcing a new era in autonomous vehicle design. The study investigates the potential benefits and challenges associated with employing voice-activated systems to enhance user experience, improve safety, and streamline communication between passengers and the autonomous vehicle. An in-depth analysis of the advantages of voice-activated robotic cars is presented, encompassing aspects such as hands-free control, personalized user experiences, and increased accessibility for individuals with diverse needs. Furthermore, the research explores the potential impact on road safety, examining how voice interfaces contribute to minimizing driver distractions and enhancing overall vehicle control. However, the implementation of voice assistants in autonomous cars is not without challenges. Privacy concerns, security issues, and the need for robust error-handling mechanisms are addressed to provide a comprehensive view of the potential hurdles in the adoption of this technology. The paper proposes solutions and strategies to mitigate these challenges, ensuring the development of a secure and reliable voice-driven interface for robotic cars. In conclusion, this research paper outlines the transformative potential of integrating voice assistants into autonomous vehicles, paving the way for a more intuitive and user-friendly interaction paradigm. By addressing challenges and capitalizing on the advantages, the study contributes to the ongoing discourse on the future of autonomous transportation, advocating for the widespread adoption of voice-activated robotic cars as a cornerstone in the evolution of smart and connected mobility.

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Voice assistant car, Robotic car, Autonomous vehicle.

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The main objective of this study is to analyze the workforce culture for employee work Behaviour. This study is based on a quantitative research approach. Information relating to the workplace culture for employee work behavior is gathered, examined, and tabulated using a variety of statistical techniques. In this study, secondary data were used to examine the Demographic information of respondents. The data analysis results showed that three kinds of workplace cultures supportive culture, innovative culture, and bureaucratic culture significantly influence employees' work behavior. Management must create harmonious relationships to support each employee's success in their employment. This study found positive significant relationship between employees' work behavior and their job satisfaction is negatively impacted by bureaucratic work cultures.

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Supportive culture, innovative culture, bureaucratic culture

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This paper explores the application of predictive maintenance in the context of the fourth industrial revolution, emphasizing the crucial role of data in understanding engineering systems. The focus is on preventing unexpected machine failures and enhancing system reliability through condition monitoring and predictive maintenance of electric machines and industrial equipment. This paper introduces a Machine Learning architecture for Predictive Maintenance, specifically employing the Bagging Classifier approach. Predictive maintenance involves using data analysis techniques to identify potential equipment failures before they occur. This proactive approach enables timely maintenance, reducing downtime and mitigating economic losses. The data for analysis is collected from various sources, including sensors, machine PLCs, and communication protocols. These data are then processed on AWS cloud architectures, allowing for the identification of patterns and anomalies that may indicate potential failures. The paper highlights the implementation of a predictive maintenance program in a manufacturing plant as a case study. The results demonstrate how such a program can effectively reduce downtime and improve equipment reliability. Overall, the emphasis is on the significance of predictive maintenance in failure analysis, showcasing its potential to enhance equipment performance and reduce operational costs in industrial settings.

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Predictive Maintenance, Machine Learning, Internet of Things (IoT), Wireless Sensor Networks (WSNs), Bagging classifier, Cloud Architectures.

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Air pollution and its prevention are constant scientific challenges during the last decades. However, they remain huge global problems. Affecting the human respiratory and cardiovascular system, they are a cause of increased mortality and increased risk for diseases for the population. Many efforts from both local and state governments are done to understand and predict the air quality index aiming improved public health. This paper is one scientific contribution toward this challenge. We compare four simple machine learning algorithms, Liner Regression, Lacco CV Regressor, support vector machines, and decision tree. The following dataset "India Air Quality Data" has been analyzed. The results are promising and it was proven that implementation of these algorithms could be very efficient in predicting air quality index.

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AIR POLLUTION, MACHINE LEARNING, INTERNET OF THINGS (IOT), LINER REGRESSION, AIR QUALITY DATA

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E-commerce applications are being used in distributed networks more and more these days. Numerous benefits come with these apps, such the ability to shop online from multiple locations. Offloading application data from user devices to servers creates numerous research hurdles for the sake of simplicity. This study provides a thorough examination of the most widely used blockchain security applications and finds peer-reviewed literature that aims to use blockchain technology for cyber security. Blockchain technology offers several features including immutability, integrity, trackability, and decentralization. This paper presents the blockchain architecture and elucidates the concept, attributes, and necessity of blockchain technology in the field of security. It makes an effort to draw attention to how Blockchain is influencing the direction of cryptocurrency, cyber security, and IoT adoption. This essay outlines the benefits of blockchain technology over traditional systems and justifies its necessity in a number of technological domains. According to our research, new blockchain applications can benefit greatly from the Internet of Things (IoT), networks, machine learning, public-key cryptography, web apps, certification programs, and the safe storing of personally identifiable information (PII).

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Blockchain, Cybersecurity, Distributed Ledger Technology (DLT), Smart Contracts

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Temples are a crucial archeological source of information for the study of ancient Indian history. As we talk about the ancient India, the Cholas happen to be a crucial yet underestimated dynasty in India. The chola dynasty reigned in the southern part of India during the period of 8th century to 13th century AD, however the earliest traces of cholas are found as early as 3rd century BCE. A prominent king of the empire was Rajendra Chola. He was a military might and naval genius. Started as a commander to his father's army, he as an imperialist, occupied lands of Sri Lanka, laccadives, Maldives, Cambodia, Thailand and Peru. But his military power was not the only great thing. Rajendra chola was also a patron of art and architecture. The south India during this period had a rich culture and heritage. Temples were a part of it. The prominent style of temple architecture was the Dravidian style which is why it is also called a south Indian school of architecture. Though the Dravidian style was started by the pallavas, chola kings like Rajaraja chola and his son, Rajendra Chola had followed the Dravidian style of architecture in their temples. The temples built by the kings are a crucial and a undeniable source of information. Therefore it makes the temples built by the great king Rajendra chola important to history. King Rajendra Chola built the Brihadisvara temple at his new temple Gangaikonda Cholapurum to celebrate his victory in the plains of the Ganges. So in the following paper is an attempt to evaluate the temple that was built under the kingship of rajendra Chola.

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Rajendra Chola , Brihadisvara temple, Gangaikonda Cholapurum, Dravidian style of temple architecture.

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India has witnessed for development of an Economy with many plans changes over the last few decades. Financial inclusion has gained importance since early 2000s. Several reforms and initiatives aimed at poverty alleviation, and enhancing financial inclusion had been attempted by the Indian government. In 2013 that 2 billion working age adult globally have to access types of formal financial services delivered by regulated financial institution. Over the last decades India had faced major problem of poverty. Poverty curb the development of Economy. The purpose of the study is to concentrate on effects of financial inclusion in poverty reduction, Modern effects of Micro finance: effect of enlarging banking activities like, credit facility: effect of SSI (small scale industries): and various government scheme for reduction of poverty alleviation, role of education in poverty alleviation. The Data collection helps to analyze, Actual position of financial inclusion in India in 2023. The finding of the study revealed that there is significant relationship between financial inclusion and poverty alleviation.suggesion further revealed that all financial drivers positively develop relationship between financial inclusion and drivers of finance. This paper recommends that financial inclusion play major role to boost Indian Economy. The level of increasing technology also increases the way of getting finance.

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Education, Technological support, Skill and knowledge Employment, poverty reduction schemes. Economic development.

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Background: Cervical spondylosis is a leading cause of musculoskeletal disability and one of the commonest cause of neck pain. The worldwide trend is for people to use computer for longer periods daily due to increased computer based tasks at work as well as during leisure activities. Neck pain is especially common among the working population and students. Aim and objective: Evaluate the effectiveness of structured teaching program on knowledge regarding cervical spondylosis among IT professionals working in companies. Also compare post -test and pre-test knowledge regarding cervical spondylosis among IT professionals working in companies before and after giving structure teaching program. To find the significant association between pre-test knowledge score regarding cervical spondylosis among IT professionals working in companies with selected socio demographic variable. Materials and method: Quantitative research approach was used in this study. 60 IT Workers who fulfilled inclusion criteria selected by using non probability convenient sampling technique. Pre experimental one group pre-test post-test research design was adapted. Validity of tool was done by 13 personnel from nursing faculty. The researcher used semi structured questionnaire to assess knowledge of IT workers. The data was analyzed in terms of the objective and hypothesis. Result: The analysis and interpretation revealed that the structured teaching programme was an effective tool for assessing knowledge on cervical spondylosis among IT professional working in companies. It is observed that statistically there is a significant difference between pretest and posttest mean of both knowledge. Conclusion: Our result indicates that the planned teaching program was an effective tool for assessing knowledge regarding IT professionals working in selected companies.

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Effectiveness, Structured teaching programme, Knowledge, Cervical Spondylitis, IT professionals.

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Background: A female patient 32 years old was diagnosed as Gridhrasi, given classical treatment according to Ayurvedic text (Vangasen samhit)Vaitarana basti treatment was given. Basti treatment useful for Shoola Shaman (Decreasing pain) in Gridhrasi Vyadhi (disease). Objective: To evaluate the efficacy of Basti Chikitsa in Gridhrasi. Material and Methods: This is a case study of Gridhrasi- Where 32 year old female patient having symptoms of Sphik (buttock) and then radiates to Kati, Prustha (back), Uru(thigh), Janu(knee), Jangha(calf) and Pada(foot) Shoola, Difficulty in walking were indicating confirmed diagnosis of Gridhrasi. VAS scale was applied for the assessment for all symptoms. Management: Vaitarana Basti and Tila Taila Basti for 15 days were done. Result and Conclusions: Significant results were observed and symptoms of Gridhrasi that is mainly Shoola (pain) was reduced. It also shows significant changes in VAS Scale. Thus Vaitarana Basti and Tila Taila Basti has significant effect in the management of Gridhrasi.

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Gridhrasi,Vaitarana Basti,Tila Tail matra Basti

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The IoT-Based crop monitoring System is a cutting-edge solution designed to enhance agricultural productivity and efficiency by utilizing sensor technology and automation. The core objective is to automate the irrigation process based on real-time soil moisture data. The systememploysanESP8266 module to facilitate the seamless exchange of data between various sensors and Firebase, a real-time cloud database. This interconnected system comprises two primary fields, each equipped with soil and soil moisture sensors, temperature sensors, smoke detectors, UV light, buzzer, solenoid valves, and mini water pump. The ESP8266 module serves as the central hub for collecting data from the sensors and transmitting it to the Firebase database. The data includes crucial information such as soil moisture levels, temperature, smoke detection, and UV light intensity. Furthermore, the system integrates alarm functionality through the buzzer and precise irrigation control via the solenoid valve and mini water pump. The data stored in Firebase is accessible through a web application built using React.js and Node.js. This web interface provides users with a graphical representation of the gathered data, allowing them to monitor the agricultural conditions in real-time. Users can view historical data trends, set thresholds, and receive alerts in case of unfavorable conditions, such as low soil moisture levels or unusual temperature fluctuations. The main key features are Data Visualization in which users can remotely monitor soil moisture levels and receive real-time updates on crop conditions through a web application. User Control in this the system allows users to adjust moisture thresholds and irrigation schedules, providing flexibility and customization. Resource Efficiency by automating irrigation, this model optimizes water usage, reducing waste and improving water conservation. This paper not only showcases the integration of IoT technology in agriculture but also serves as a practical and environmentally responsible solution for modern farming practices.

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IoT(Internet Of Things), Automation Sensor, Data Visualization.

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Non- human animals functioning as narrators and protagonists is not common only to fairy tales and fables. Their voice can be found in serious literature too and they narrate the intricacies of their life and their worlds. The primary reason for having animals as narrators is the possibility of evoking empathy from the readers towards the plight of animals. The authors of such works try to decentre human beings and defamiliarize the human perception of the world. Having animals as narrators also facilitate the writers to avoid censorship and persecution by projecting their ideas through animal voice. Thus, ranging from fairy tales to political satires, animal images are common and their voices are used to negotiate the relationship between animals and humans. The paper aims to analyse the Animal narratives in the novel The Bees written by Laline Paull. The plot of the novel is revealed from the perception of a bee and with a limited human intervention. However, traces of anthropocentrism are found in the novel despite its careful detachment from the animal world. The paper sets to show the convergence of animal and human world and the system devised to have a better understanding on the life of bees.

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Animal Fiction, Animal Narratology, Anthropomorphism.

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The main aim of present investigation was to assess the current status of infrastructural facilities in secondary schools under Rashtriya Madhyamik Shiksha Abhiyan (RMSA) of Himachal Pradesh. The findings revealed that majority of sampled secondary schools has adequate infrastructural facilities but some facilities were inadequate almost in all sampled secondary schools in sampled four district of Himachal Pradesh. In the concluding part of the paper, findings have been discussed.

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Rashtriya Madhyamik Shiksha Abhiyan (RMSA), Secondary Education, Infrastructure Facility

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Potato crops offer numerous advantages to human life, with one of the most significant being their high carbohydrate content, which serves as a primary source of nutrition for humans. The progress in potato agriculture holds vital importance for sustaining human life. However, various challenges impede the development of potato farming, including diseases that target potato leaves. If left unaddressed, these diseases can lead to decreased production and potential crop failure. Notable among these leaf diseases is early blight, caused by the fungus 'Alternaria solani', and late blight, caused by the microbe 'Phytophthora infestans'. Each disease presents distinct symptoms, enabling farmers to take preventive measures upon their identification. However, due to the specialized knowledge required, accurate and timely disease identification proves challenging for the average farmer. In response to this, technology in informatics, particularly digital image processing, can offer a solution for disease identification in potato leaves. This research aims to propose an effective method for detecting diseases in potato leaves, utilizing three types of data: healthy leaves, early blight, and late blight. The identification process employs deep learning techniques, specifically utilizing the Convolutional Neural Network (CNN) architecture. The result of this research is that the 70:30 data segmentation produces better accuracy than the 80:20 data segmentation. The accuracy obtained is 98 % on training data and 97 % on validation data using 32 batch sizes at 50 epochs.

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CNN (Convolutional Neural Network), late blight, early blight, healthy, identification, leaves, disease, pixel, Epoch, Crops, leaves

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This study examines the various ways that artificial intelligence (AI) is changing the nature of work. Concerns about the loss of jobs, changes in skill requirements, and socioeconomic effects have gained more and more traction as AI technologies develop. The study examines the complex dynamics of job creation vs removal as it dives into the complex relationship between AI and employment. In light of AI integration, it evaluates the changing skill sets that employers are requiring, taking into account the importance of education and training in preparing the labor force. The study also examines the moral implications of AI's impact on employment, covering topics like algorithmic prejudice and the moral use of AI in recruiting. The study also looks at possible effects on income inequality, highlighting the need for inclusive policies to deal with the shifting environment. The report compares various national perspectives on AI's effects on jobs through a global lens and offers insights into policy frameworks meant to promote a peaceful coexistence between AI technology and workforce stability. Artificial intelligence's (AI) effects on employment are a complicated and dynamic subject. The complex implications of AI on employment across a range of industries are examined in this abstract. It explores how automation is transforming society by examining how AI technologies can both create and destroy jobs. Skill shifts are covered in the discussion, with a focus on the increasing significance of adaptability in the workplace. The abstract also discusses societal ramifications, including the necessity of reskilling programs and the possibility of AI increasing productivity. All in all, it offers a succinct synopsis of the dynamic interaction between AI and the labor market.

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Artificial Intelligence (AI), Job Displacement, Job Creation, Workforce Transition, Ethical Use of AI, Policy Frameworks

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Research into energy collecting technology has grown significantly in recent years as a result of the growing demand for alternate energy sources. Different technologies have been developed recently, and the specific issue of energy harvesting on road pavements is a very young area of research. None of them, however, has demonstrated both high conversion efficiency and technical and financial feasibility. In order to transfer energy from the device surface to an electrical generator, this study discusses the construction of a new mechanical system to be used on an electromechanical device that harvests energy from road pavement. The major objective is to measure and contrast the new system's energy harvesting, transmission, and conversion efficiency with existing systems. There are offered conclusions about the effectiveness of the system

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Road pavement; Energy Harvesting; Energy conversion; System modelling.

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