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Smart Cities can Benefit from Energy Savings Made Possible by Spending on Intelligent Transportation System for Society 5.0 Mahat, Dipak; Reeya Agrawal
International Journal of Applied and Advanced Multidisciplinary Research Vol. 2 No. 2 (2024): February 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v2i2.1257

Abstract

Studies highlighted the interconnectedness of Intelligent Transportation Systems (ITS), Smart Cities, and Society 5.0, envisioning a future where these concepts collectively propel urban development. The study emphasized the role of ITS in Society 5.0, promoting safer, more efficient, and environmentally friendly transportation options. The methodology entailed a thorough review of academic sources and a variety of data collection methods. The findings indicated an increased reliance on ITS in smart cities, with a focus on adapting to multiple information sources. The discussion emphasized the critical role of ITS in achieving Society 5.0's goals, establishing a synergistic path for innovative, human-centric urban environments. Overall, the study envisions a future in which seamless integration of technology within smart cities improves urban mobility, reduces congestion, and promotes data-driven decision-making for societal progress.
Artificial Intelligence in Human Resource Management: A Bibliometric Analysis Comparing Pre- and Post-COVID-19 Literature Mahat, Dipak
Formosa Journal of Multidisciplinary Research Vol. 3 No. 7 (2024): July 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjmr.v3i7.9875

Abstract

Existing research on AI applications in HRM has focused on specific functions with limited exploration of other areas. Changes in publication trends and focuses coinciding with COVID-19 require investigation. Study conducted a bibliometric analysis of 233 publications from 2015-2024 in the Scopus database, analyzing trends in sources, authorship, institutions, countries, keywords and themes. The results show an exponential surge in the annual number of publications since 2020, indicating that COVID-19 accelerated interest in AI-driven workforce innovations. Research efforts became more concentrated among prolific authors, core journals, and leading universities. Study reveals how the pandemic triggered substantive changes, transforming AI-HRM research into a more globally engaged and focused field. This is the first comprehensive bibliometric study to analyze how COVID-19 transformed AI-HRM research landscape in terms of quantitative trends, participants and investigated topics.
Readiness for Artificial Intelligence Integration in Government Services: Perspectives from Ramechhap District Employees Mahat, Dipak
Jurnal Multidisiplin Madani Vol. 4 No. 4 (2024): April 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/mudima.v4i4.8435

Abstract

The study aimed to investigate the perception of government services employees regarding the future perspective of AI in government services and to compare the perspectives between federal and local level employees. Research adopted objectivity methods to explore the result. Data collected from federal and local government employees in Ramechhap District, Bagmati Province of Nepal. The study revealed insights into the perception of government services employees regarding AI in government services, indicating a moderate belief in AI's potential to enhance job efficiency and a cautious optimism towards AI integration within organizations. Respondents recognized the importance of investing in AI infrastructure and training, foreseeing changes in daily tasks and increased AI usage in service tasks. Anticipation of new HR roles and a demand for flexible virtual work setups was also noted. The ANOVA results comparing federal and local level employees' perspectives on AI in government services showed no significant difference between the two groups, suggesting that the variation in perspectives was not statistically significant. This research provides valuable insights into the perceptions and expectations of government services employees regarding AI adoption and its potential impact on future work environments
Critical Analysis of Noise Pollution and Its Effect on Human Health Karki, Tej Bahadur; Manandhar, Raju Bhai; Neupane, Dasarath; Mahat, Dipak; Ban, Padam
International Journal of Educational and Life Sciences Vol. 2 No. 2 (2024): February 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijels.v2i2.1372

Abstract

Noise pollution is an unseen threat. It cannot be seen, although it is present both on land and beneath the water. Any undesired or irritating sound that impacts the health and well-being of humans and other organisms is referred to as noise pollution. It is harmful to human health. According to WHO, more than 70 decibels of sound will be harmful to health. The average noise level in Kathmandu was 66.8 decibels (A), with high-traffic zones producing the most noise, followed by commercial, low-traffic, and residential zones. The main objective of this review paper is to identify the effect of noise pollution on human health. It is a review article. There are different kinds of effects explored in the previous studies such as hearing loss, sleep disruption, cardiovascular disease, social handicaps, reduced productivity, bad social behavior, irritation reactions, absenteeism, and accidents. Noise pollution is a significant problem in Nepal, particularly in Kathmandu. The studies suggest that the enforcement of noise standards and No Horn Regulation can be effective in reducing noise pollution. However, more efforts are needed to monitor and enforce these regulations. Noise pollution can cause a variety of health problems, and it is essential to take measures to reduce it to protect public health.