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This research focused on Walton, Bangladesh's largest manufacturer in the electrical, electronics, automobile, and home appliance sectors. Walton mainly focused on its innovative and sustainable business practices. Its strategic emphasis on advanced R&D and Advanced manufacturing system has positioned it in leading position locally and helps it to compete global market. The company’s commitment to quality, affordability, and sustainability has made it competitive internationally. This research highlights Walton's technological, organizational, environmental approach to demonstrating how these elements contribute to its economic success and social impact. By exploring Walton's role in job creation, skill development, and export growth, the study offers insights into how emerging market firms can achieve global competitiveness. Walton's practices provide insights for integrating technological advancement and environmental responsibility, setting new standards in the industry and offering a model for other corporations in developing economies.

This exploratory research of data lakes in big data times is a prominent topic for both academia and industry. One of the main motivations behind is that companies need to cope with more data than ever before, and the problems of how to analyze even how to store data are becoming more and more challenging in many industries. The occurrence of the concept of a data lake to meet such big data problems is enlightening and will most likely be considered in any relevant big data strategy. This review paper presents a summary of some popular data lake concepts at present, followed by its advantages, potential risks and criticism from some professionals as well. Additionally, a general process in a data lake is described.

Today, there is a developing requirement for observation so as to keep up the dignity at a spot and guarantee the wellbeing and security of its kin. An airborne observation framework will be advantageous in such a manner. This paper depicts how an ethereal reconnaissance framework can be assembled utilizing an unmanned flying vehicle or an automaton. We start by depicting the highlights of our ethereal observation framework and afterward talk about a portion of the advances that we have utilized in building it. From that point onward, we notice how we have consolidated those innovations into an automaton and have made them cooperate amicably so as to accomplish our goal. This goal will be achieved with the help of cloud services and cellular service using 5G technology. It tends to be utilized in peacekeeping exercises and furthermore constant observing of a spot whenever of the day. The point is to give quick and productive reconnaissance at a moderate rate with the goal that it tends to be utilized broadly at the private, institutional and administrative levels.

The global business landscape is undergoing a significant transformation driven by the rapid growth of electronic business (e-business). This study investigates the e-business evolution stages in the Philippines and South Korea through a quantitative research design, employing a survey questionnaire based on the e-business evolution model by Bradley et al. (2015). The findings indicate that the Philippines is predominantly in the Growth stage, whereas South Korea is in the Transformation stage, reflecting varying levels of e-business maturity. Both countries demonstrate positive perceptions of social, economic, and technical factors, although concerns remain regarding perceived risks and transaction costs. This comparative analysis provides valuable strategic insights for policymakers, industry leaders, and stakeholders aiming to navigate and leverage emerging e-business opportunities across Asia.

This thesis is a paper focusing on the technology acceptance model and analyzing the impact of the characteristics of 5G services on users' continuous use intentions. With the start of the fourth industrial revolution in the 21st century, 5G is the best technology used in the Internet of Things, high-speed information and communication, artificial intelligence, big data, self-driving cars, virtual reality, augmented reality, robots, nanotechnology, and blockchain. Despite the fierce competition among countries to preoccupy 5G information and communication core technologies of the Industrial Revolution, Korea is very hopeful to expand its economic value by "implementing the world's first 5G high-speed mobile communication. Technical features of 5G high-speed information and communication are represented by ultrafast, ultra-high capacity, ultra-low delay, and ultra-connectedness. 5G mobile communication (hereinafter referred to as 5G) is significantly superior to LTE, which is 4G mobile communication, in terms of transmission speed, latency, and terminal capacity. 5G service is not just one axis in the process of developing mobile communication technology, but it is also an innovative value creation of businesses that technology has. Although 5G was initially expanded to focus on B2C, it will gradually be transferred to a global globalized business in the form o f a variety of new business models and services in the B2B sector. All interest in 5G has now been focused on billions of smartphone users, which, of course, is expected. Therefore, there is a lack of research on how the national investment method will work and what in dividuals can achieve by using 5G services. In addition, in terms of 5G service providers, they have not been able to use specific investment strategies and services because they have not been able to identify large-scale investments for 5G or what parts of each industry as a whole. In this study, we analyzed and organized the characteristics of 5G services, studied the characteristics of each technology of 5G services, and conducted a survey focusing on users' actual usage intentions. To this end, 18 prior papers using existing overseas and domestic technology acceptance models were applied, and results on the intention of use were derived using technology acceptance models..

Late blight, caused by Phytophthora infestans, threatens tomato and potato crops in Nepal. This study explores developing and deploying a mobile application powered by a graph neural network (GNN) to predict late blight risk for Nepali farmers. The GNN trained on 43 years of NASA satellite weather data can generate 5-days forecast for 320 weather stations in Sudurpashim and Karnali Province, Nepal. The mobile application offers user-friendly forecasts and visualizes late blight risk through clear graphical interfaces. In the visited sites, 30% of tomato and potato crops were found infected with late blight, which the app had identified as high-risk. Samples infected with late blight were collected and analyzed in a wet lab setting. All infected samples tested positive for P. infestans, confirming the app's ability to predict real-world late blight outbreaks. This study showcases the successful development and deployment of a GNN-powered mobile application for assessing late blight risk in Nepal. The application disseminates critical weather information and localized risk assessments, potentially enhancing late blight management in tomato and potato crops. Further research, including extensive field trials comparing with farmers' practices, could increase the application's usability in Nepali fields.

Periodic signals are those which repeat itself after certain interval of time. The time after which it repeats is called as the period of the signal. Periodic signals are used almost everywhere in application of electrical engineering such as, supply of electricity means supplying AC voltage constantly. This supply of ac is periodic waveform [1]. Continuous time sinusoids are periodic if they are not truncated and period of this type of signal can be predicted in advanced just comparing the angular frequency (w). Whenever addition or multiplications of two or more sinusoids or any other continuous time signals are involved then it is not that simple to find the period of the resulting signal [2]. All the cases of addition and multiplication of different types of continuous time signals were taken into account and the result were obtained from MATLAB. Findings were analyzed and generalized being based on the result obtained from MATLAB. When addition of two or more continuous time signals takes place, the period of resulting signal is the Least Common Multiple (LCM) of the period of individual signal. When multiplication of two or more continuous time signal are involved the period of resulting signal is the half the value of Least Common Multiple (LCM) of the period of individual signal, if any one of the signal has both positive and negative amplitude. Else the period of the resulting signal is Least Common Multiple of the period of individual signal. When addition of two or more continuous time signal are involved the period of resulting signal is the value of Least Common Multiple (LCM) of the period of individual signal, even if any one of the signal has both positive and negative amplitude. Generally Continuous time Fourier series is performed to obtain the spectrum either that may be magnitude spectra or phase spectra. Periodicity and the period of the signal are vital for representing time domain signal to frequency domain.

Digital convergence and its importance to contemporary economies is undeniable. What does it mean to be a digital economy? This question is a big challenge to answer digital convergence disseminates new business models and brings about substantial changes across industrial activities worldwide. Convergence is becoming as a hot issue within the Information Technology (IT) industries. Several benefits come from converging communication networks, like increased productivity, reduction of transaction costs and a valuable impact on economic growth. Digital convergence of various industries has created new business opportunities. The net benefit of digitalization on a global basis could surpass $100 trillion by 2030. Industrial digitalization and internet access are projected to experience exponential growth. The digital economy is expected to grow from 15.5% to 24.3% of the global GDP by 2025. Digital technologies' long-term return on investments is 6.7 times more than that of non-digital investments. This study provides a look at digital convergence and its economic implications.

Network analysis is one of the hottest areas of research in biotechnology and biomedical research. It is a straight forward method of representing local and global characteristics of biological nodes representing the various biological elements. In network analysis, we use mathematical graph theory to show the interaction among the genes and its product. This represents the various biological activities in the cell. In order to predict the certain activity and interaction among the biological elements, it is necessary to find the optimal path in the network. This optimal path is usually the shortest path, which clearly depicts the key elements involved for the particular reaction. It is also necessary to count the number of shortest paths between the given pairs of genes in the network. This paper describes the need for finding shortest path in the biological network and illustrate the usage of Bellman-Ford algorithm to find the shortest path in Hutchinson-Gilford Progeria Syndrome (HGPS) data sets.

It is critical that information be gathered, handled, and kept in a systematic manner that preserves its integrity and authenticity. Record management procedures are rapidly being recognized as a crucial business practice that assists businesses in establishing and validating their business dealings and related activities. The purpose and essence of any records management system is to provide the right information in the right place, in the right order, and at the right time for the right person at the lowest cost, which is better achieved with a computer-based system. Patient Management Information Systems (PMISs) are designed to manage the information of patients in the hospital and service processes. In Ghana, despite the importance of medical records, most hospitals still use the manual system of patient record management, resulting in poor record management practice, meaning a lack of effective systems for opening, tracking, and indexing files, which have many limitations for proper healthcare. In this study, the SWOT analysis method was used to assess the readiness of Ghana’s healthcare services to implement a patient management information system for healthcare delivery.