Volume 12 | Issue 2 |

 Abstract

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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