International Journal of Engineering and Management Research
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Antecedents of E-wallet Usage Intention: An Empirical Study
Get PDFNowadays, the importance of cashless transactions is increasing due to the advancement of technology, especially in the post-pandemic era. An e-wallet is an application that helps users make payments through a mobile device instead of cash. With the advent of e-wallets, people are shifting from using cash to cashless in the era of smartphone technology. This study aims to explore the antecedent factors affecting the intention to use e-wallets as a payment mechanism among young adults in Kerala, India. The study was conducted by following an extended Technology Acceptance Model (TAM) and a Unified Theory of Acceptance and Use of Technology (UTAUT). Data were collected from 380 users of e-wallets, and the data were analyzed using partial least squares structural equation modelling (PLS-SEM) following a two-step approach. The results of the path analysis showed that perceived usefulness and perceived ease of use are the most significant predictors of usage intention for e-wallets, followed by perceived trust and perceived risk. It is also revealed that perceived security does not affect the usage intention of e-wallets. The results will help policymakers make strategic decisions considering customer perceptions of usage intentions
Entrepreneurial Abilities and Attitude of Business Students as Determinants of their Interest in Starting a Business
Get PDFStudying personal characteristics plays a great influence in understanding entrepreneurial abilities and entrepreneurial attitude which are considered as varying factors in determining entrepreneurial interest as shown in several studies. Abilities are those which all individuals need for personal fulfillment and development and social inclusion and employment such as cognitive and non-cognitive abilities whilst entrepreneurial attitude is someone’s traits and behavior on the personal desirability in creating an enterprise. This study aims to assess if entrepreneurial abilities, both cognitive and non-cognitive skills, and attitude towards entrepreneurship significantly influence business students’ interest to start a business. This research utilized the descriptive research design. A researcher-made questionnaire was used as the main data gathering tool. The same instrument was pilot tested to check its internal consistency. Validity was determined through the assessment of the three experts consulted for the said purpose. A random sampling design was utilized in this study which led to involve 265 respondents from the four member schools of the private education network. Multiple linear regressions were used to determine the statistical significance of the influence that was tested. The results proved that both entrepreneurial ability and attitude towards entrepreneurship significantly influence student’s interest to start a business. Specifically, cognitive skills, and Self-efficacy, Social Orientation, and Motivating as non-cognitive skills are significant influencers to starting a business while Pro-activity is not found to have the same influence on the same. Finally, the study concludes that over-all attitudes towards entrepreneurship significantly influence a student’s decision to start a business. Calculated risk and need for achievement is found to have a significant influence on the intention to start a business while autonomy, creative tendency and drive and motivation were not found significant
A Systematic Review of IoT Integration on Health Monitoring System
Get PDFThe Internet of Things (IoT) has had a significant impact on many fields, including the healthcare industry. It has, in particular, resulted in the development of devices that can collect and transmit data, allowing for better patient monitoring. IoT has enabled remote patient monitoring and telemedicine, which has significantly improved care. IoT wearable devices can collect and transmit data on patients\u27 blood pressure, heart rates, and blood glucose levels. IoT could also help monitor hand hygiene compliance and track patients\u27 moods and depression. Significantly, monitoring the symptoms of Parkinson\u27s disease patients via IoT aids in disease management. These IoT applications have had significant implications in healthcare. IoT applications reduce healthcare costs while also improving treatment. The diagnosis becomes timely, allowing timely interventions to be implemented. IoT also enables proactive treatment and ensures the effective use and management of drug-related equipment. The main challenges are data security and the high initial implementation cost. In general, implementing IoT has had an impact on care delivery and resulted in better patient outcomes.
Keywords— Internet of Things, patient monitoring, heart rates, blood glucose, Parkinson\u27s diseas
Dataset and Performance Metrics towards Semantic Segmentation
Get PDFInterest and ideas on semantic segmentation move on the increasing trend in the area of autonomous driving. This meets the rise in the deep learning approach. The first step in the training of a segmentation model is the dataset preparation. For this, RGB images and its corresponding segmentation images are required such that, the size of these remain the same. Each class in the image is assigned with a unique ID. The pixel value in the segmentation image denotes the class ID of the corresponding pixel. Moreover, as jpg format of the image is lossy, bmp or png formats are usually preferred. The success of the model is measured using metrics, which helps in grading the model. This paper deals with the examination of the widely used datasets in the field of semantic segmentation. The mIoU metric of the datasets on various models have been comparative studied at the end of the analysis
Determinants of Employee Performance at Public Health Centers
Get PDFEmployee performance has become the center of attention for academics and practitioners. However, until now, the determinants of employee performance are still being debated. This study investigates the determinants of employee performance at public health center. The population of this study was all employees at the health center in the Kuranji sub-district, Padang, West Sumatra, totaling 118 employees. In data analysis, this research uses SEM-PLS software. This study found that organizational culture had a positive and significant effect on work motivation and organizational commitment but had no effect on employee performance. Work motivation has a positive and significant effect on organizational commitment and employee performance. Furthermore, organizational commitment also positively and significantly influences employee performance
Development of Port Logistics Center: Bangladesh Perspective
Get PDFSeaports as multi-dimensional transport node and integrated logistics center are the key components of the global transport system. Logistics and supply chain processes have high efficiencies in terms of increasing port performance. With regard to ports performance, an integrated port logistics center plays an important role in promoting economic development to absorb the value-added demand of local and international customers. Seaports are developing because of its multi-functions and multi-modalities, which focuses on expanding their services. This development of seaports allows them to cope with up growing demands of the trade. This publication presents subject matter concern with the development of seaports in Bangladesh as integrated logistics center. The objective of this research is to identify existing technological issues, challenges and impacts regarding the development of seaports as logistics centers in the maritime logistics system in Bangladesh. This study is a qualitative research and both primary and secondary data have been used. Based on the findings, some strategies and actions are suggested to the port authority; local logistics service providers and other stakeholders towards developing an efficient port logistics center in Bangladesh
Device Compartment with Non-Woven Secondary Filter Medium for Diesel Engine Exhaust Vent
Get PDFTransportation is a significant contributor to air pollution in many nations across the world, because of the large number of vehicles that are present on the roads. To reduce pollution from diesel engine vehicles, the Indian auto sector made its hard transition from BS4 to BS6 norms in April 2020. Selective Catalytic Reduction (SCR) and Diesel Particulate Filter (DPF) were included to the BSVI norms to evaluate the emission levels of the BS6 motor vehicle, but the BS4 norms do not include such an in-built filtration capability. However, it is mandatory to reduce the emission level in vehicles running on BS4 engine. This paper deals with the development of device compartment for filter fabric to be fitted as an attachment for various diesel engine vehicles and fabrication of non-woven filter fabric as a secondary medium. Through this additional fitting along the exhaust vent of BS4 diesel engine vehicles, soot particles can be arrested and reuse of BS4 engine is made possible
Machine Learning Approaches for Fake User and Spammer Detection: A Comprehensive Review and Future Perspectives
Get PDFThe rise of digital platforms has given way to a surge in fraudulent activities, including the creation of fake user accounts and the prevalence of spammers. These malevolent actions present significant challenges to the security and integrity of these platforms, necessitating effective detection and prevention measures. This paper offers an extensive review of machine learning (ML) techniques currently employed for fake user and spammer detection. The paper explores a range of traditional ML algorithms such as decision trees, support vector machines, and logistic regression, as well as more complex deep learning models like convolutional neural networks (CNN) and recurrent neural networks (RNN). It also examines unsupervised and semi-supervised learning strategies that can be used when labeled data is scarce. Furthermore, we discuss the key challenges in detecting fake users and spammers, including the dynamic nature of spamming tactics, evolving deceptive strategies, data imbalance, and privacy issues. We propose potential solutions to these challenges like transfer learning, active learning, federated learning, and privacy-preserving ML techniques. The paper concludes with an exploration of emerging technologies such as explainable AI and reinforcement learning and their potential to enhance detection system performance and interpretability. It also provides insights into promising future research directions in this critical area
Utilizing Inoperative Spaces Effectively
Get PDFDue to a lack of areas for socio-cultural conditioning, declining recreational opportunities, and environmental degradation, urban life is quickly becoming boring and unattractive. However, it is noted that, there are certain \u27Urban Voids’ amongst buildings, at street corners and so forth which are left over (unused) spaces.
\u27Urban Voids\u27 can be defined as follows,
"Spaces that have no function and are neglected, unutilized, under-utilized or abandoned land or areas and premises which exist in urban areas due to outdated or defunct uses ‘. (Omnia Mamdouh Hashem, 2022)
This paper is going to explain the concept of voids, identifying, and analyzing the type of voids, how these void spaces have great potential for turning into public spaces through place making process. This paper is going to focus on Infrastructural linear voids: spaces found underneath flyovers and their hidden potential which can help to improve the image of a city. Urban Infrastructural voids in Vadodara are identified and typologies are formed by observational and research-based studies. Based on the review of literature on public place making and analysis of nine case examples across the globe, the issues to be addressed are identified and landscape design recommendations are framed for the void space’s underneath flyovers in the Indian context. This study seeks to address the problem of urban voids, one of the potential options for more associated spaces. The goal of Revitalizing urban void’s is to reconnect these non-functioning spaces with context, achieve user’s needs, integrate technologies with the space and increase its income through combining theoretical findings, empirical study, and questionnaires, which generate a framework that helps the planners and designers in developing urban voids and maximizing its efficiency. (Ranjitha Manibala. T, 2022
IoT based Vehicle Management System using ESP32
Get PDFThis project aims to develop an Internet of Things (IoT) based vehicle management system using ESP32 microcontroller to track the location, speed, and direction of a vehicle in real-time. The system utilizes GPS module, Reed switch, Gyroscope and accelerometer to capture the location, number of gear, direction of vehicle and speed data respectively, while the Wi-Fi module is used to transmit the data to a cloud server for storage and analysis. The system is designed to be scalable and cost-effective, making it suitable for a wide range of vehicle tracking applications. The results of the project show that the system can accurately track the location and speed of the vehicle and provide real-time information to the user, making it an efficient and reliable solution for vehicle management