International Journal of Engineering and Management Research
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Greenhouse Monitoring and Controlling Using Arduino
Get PDFA greenhouse is structure that\u27s erected of walls and a transparent roof. But to get the asked results there are some veritably important factors which come into a play like Temperature, Moisture, Light, and Water, which are necessary for better plant growth. It\u27s designed to maintain regulated climatic conditions. These structures are used for the civilization of shops, fruits, and vegetables which bear a particular position of sun, temperature, moisture, and soil humidity. IOT and Arduino grounded Greenhouse Environment Monitoring and Controlling is designed to maintain these conditions in the greenhouse. Observation agrarian surroundings for varied factors similar as temperature and humidness on with indispensable factors are frequently of significance. The power to document and detail changes in parameters of interest has come more and more precious. This system helps in monitoring and controlling the climatic conditions that are favorable for the cultivation of plants. By using this system, crop growth can be bettered along with maximized yield, irrespective of the rainfall conditions
Faults Detection in Three Phase Transmission Line with Safety Measure
Get PDFThe "Faults Detection In Three Phase Transmission Line With Safety Measure" aims to enhance the safety and reliability of electrical power transmission systems by developing an intelligent fault detection and monitoring system for transmission lines. The project utilizes advanced sensing and communication technologies to detect faults on transmission lines promptly and accurately, allowing for timely intervention and mitigation of potential hazards. The proposed Transmission Line Fault Safety Project contributes to enhancing the reliability and safety of transmission line operations. By enabling rapid fault detection, early warning systems, and effective response mechanisms, it aims to reduce downtime, prevent accidents, and improve the overall efficiency of electrical power transmission systems
Online Fraud Detection Using Machine Learning Approach
Get PDFOnline extortion discovery has ended up a tremendous issue in today’s advanced age and poses a danger to individuals, businesses, and budgetary teachers all over the world. The increment in extortion illustrates the requirement for compelling extortion discovery, especially within the setting of anti-money laundering (AML) endeavors. This extent is planned to create a machine learning-based arrangement utilizing Python to distinguish and avoid online extortion in genuine time.
The proposed framework employment chronicled exchange information, combining different components such as client behavior, exchanges, and budgetary information. First, the information control preparation is utilized to clean the information and change over it organized reasonably for the preparing show. At that point, different machine learning calculations such as calculated relapse, choice trees, irregular timberlands, or angle boosting are used to build predictive algorithms that can spot fraud. The extended concludes with the usage of the created show in a genuine world online exchange environment, permitting genuine time extortion location and avoidance. The system’s adequacy is persistently checked and assessed, and essential overhauls and advancements are made to adjust to advancing extortion designs and procedures. By and large, this extends points to supply a strong and proficient arrangement utilizing Python and machine learning strategies to combat online extortion. By precisely recognizing false exchanges in genuine time, this framework can altogether contribute to fortifying AML endeavors and ensuring people and organizations from money-related misfortunes and reputational harm related to online extortion
Volatility Response to “Black Swan Event” of Covid-19 in Asian Stock Market: An Empirical study Using EGARCH Model
Get PDFBy detailing the volatility response to shocks in several Asian nations, a dimension that has not been examined in the existing literature, our study contributes to the body of literature. The empirical data from the study indicate that volatility displayed asymmetric behavior in a few select Asian stock markets over the study period. In relation to this study, we saw that the volatility reaction followed a consistent pattern in the Asian region. For all but a few select markets, shocks are homogeneous in size and sign. Additionally, there is evidence that volatility responses are persistent across all Asian stock markets, which suggests that the impact of volatility will gradually diminish. This study offers helpful information to the investor community to help them make informed decisions about their investments
A Study on Essence of Employee Engagement: An Organisational Perspective
No full textEngagements in any form have been the crux of the cultural balance. The Organisations to a large extent aim to achieve this balance and engage the Employees in order to achieve Organisational goals. Employee engagement in an organization is massively related to the ability of an organization to manage its employees and generate high-performance levels. The key ingredients of an engaged employee seem to be a display of emotional involvement in what the employee does, and pride in the work place. Employee Engagement is seen as a powerful source of competitive advantage for companies in turbulent times. A deserving & good employee engagement is only going to happen if employees feel positive and strong about their relationship with their Superiors and the Organisation at large.
The Researchers have adopted Exploratory & Descriptive Research design. The Research is conducted with the help of both Primary and Secondary data. The primary data is in the form of Interviews with Five Companies. The HR Heads were approached for the Interview. This Paper attempts to discuss on the Employee Engagement domain of Organisations. The Researchers aim to understand the essence & significance of Employee Engagement. The study further aims to study the factors influencing Employee Engagement at Organisations. The Researchers have gathered the Organisational perspective towards Employee Engagement and identified the relative challenges. The study encompasses the learning on Employee Engagement and understanding its essence. The Researchers have taken Employee Engagement aspect for Organisations at large rather any specific sector or region or set of Employee like Gender based etc., hence the inferences gathered are indicative in nature rather exhaustive. Employee Engagement is an essential virtue for Organisations and the same gets reflected through the Employee satisfaction, organizational success, and financial performance etc
Cloud Computing Accounting Information System Design of Business Entity Village Owned (BUMDESA)
Get PDFThis study aims to design an accounting information system for business entities—Village-owned (BUMDesa) Ketapang Banyuwangi with cloud computing. BUMDesa Ketapang has experienced good development in the last five years but has not been matched by an effective accounting system. The research methodology used is qualitative exploratory research with PIECES analysis. The results of this study refer to the cash receipt cycle, cash disbursement, and reporting cycle starting from recording transactions from the business unit and reporting to the treasurer then recorded in a journal, posted to a ledger, and producing financial reports in the form of a Financial Position Report, Profit Loss Report, and cash flow statements. The processes shown are data flow diagrams (DFD), flow charts, entity-relationship diagrams (ERD)
Impact of Mobile Phone Usage on Behavioral Change of Rural Youth in India - A Cross-Sectional Analysis
Get PDFThe study was taken up among the rural youths in the age group of 15-35 to find out the impact of mobile phone use on their behavioral changes in Salem District of Tamil Nadu. The study was based on primary data. Five demographic variables such as age, gender, marital status, family size and education were used as background variables to understand their inter-relationship between them. One common finding emerged from the background variables that the majority of mobile phone users were unmarried and school and college going students. To determine the impacting factors on behavioral changes due to more use of mobile phones, factor analysis was used. The factor analysis was clearly indicated psychological factors (stress, anxiety and depression) attributed to more use of mobile phone followed by increasing possibility of health hazards like non-communicable diseases and sedentary behavior on behavioral changes of respondents. Therefore, it is understood that the mobile phone usage can cause behavioral changes of the age group between (15-35), as this group prone to accept anything without understanding the long-term effects. Although mobile phone has become an integral part of daily life, it cannot be avoided but its judicial use could overcome some of its negative effects
Influence of Artificial Intelligence in Human Resource Management: A Comprehensive Review
Get PDFIn the current competitive environment, precise data collection and analysis are critical for many professional divisions to ensure smooth daily operations. Artificial intelligence (AI), which includes subfields like machine learning, makes it possible for industries to work quickly and efficiently in a field of computer science that mimics the thought processes of humans. In human resources, AI tools can automate routine tasks, allowing employees to focus on more strategic and engaging work, including subfields like machine learning, and making it possible for industries to work quickly and efficiently. Adopting cutting-edge technology within an organization is crucial for effectively deploying AI due to increasing business pressures. Even demanding bosses recognize the value of AI in the workplace. This paper explores the impact of AI on human resources
Developing an Identification System for Different Types of Edible Mushrooms in Sri Lanka using Machine Learning and Image Processing
Get PDFThis study aims to develop an image processing-based approach to identify edible mushroom species from other mushrooms using CNN and identify edible mushrooms based on ANN and identification growth stage of edible mushrooms using CNN image processing techniques. The identification of mushrooms can be challenging, especially for non-experts, due to the morphological similarities between edible and poisonous species. Also there have similarities between edible mushroom species. Therefore, there is a need for an accurate and efficient method to differentiate between edible and non-edible mushrooms and edible mushroom species. In this study, we propose the use of image processing techniques, such as feature extraction, segmentation, and classification, to analyze images of mushrooms and distinguish between edible mushroom species. We will collect images of different mushroom species found in Sri Lanka and use them to train and test our image processing algorithm. we will collect images of edible mushrooms are divide in to growth stage. Our approach has the potential to improve the safety and accessibility of wild mushroom harvesting, promote the consumption of nutritious edible mushrooms, and prevent accidental ingestion of poisonous mushrooms and improve identify edible mushroom species and find the growth stage of edible mushrooms.
Challenges of Car Industry in Dealing with Social Media Marketing Tools
Get PDFWith the introduction of social media platforms, marketing methods in the car industry have undergone a fundamental shift. This study explores the difficulties the auto sector has in using social media marketing tools to improve brand visibility, interact with customers, and traverses the ever-changing digital landscape. Given the continued influence of social media on customer preferences, it is critical to comprehend the difficulties faced by the automotive industry to maintain competitiveness and long-term growth. The study takes a multipronged approach, combining qualitative and quantitative analysis to investigate the intricacies involved in the incorporation of social media into automakers\u27 marketing campaigns. Additionally, issues related to privacy concerns, data security, and the management of customer feedback on various platforms poses substantial hurdles for the industry. Furthermore, the study investigates the impact of social media on consumer behavior and decision-making processes within the automotive purchase journey. By examining case studies and industry practices, this research aims to provide valuable insights and recommendations for car manufacturers to overcome these challenges, optimize their social media marketing efforts, and leverage the potential of these platforms to foster brand loyalty and customer satisfaction. Ultimately, the findings of this research contribute to the evolving discourse on the intersection of the automotive industry and social media marketing, offering practical solutions and strategic recommendations to empower car manufacturers in navigating the intricacies of the digital age