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Journal : International Journal of Smart Systems

A Review: Application of AIOT in Smart Cities in Industry 4.0 and Society 5.0 Saluky; Yoni Marine
International Journal of Smart Systems Vol. 1 No. 1 (2023): February
Publisher : Etunas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijss.v1i1.1

Abstract

This review paper explores the application of Artificial Intelligence of Things (AIOT) in smart cities under the contexts of Industry 4.0 and Society 5.0. The main objective of the paper is to analyze and evaluate the latest developments and implementations of AIOT in smart cities, and to provide insights on the potential benefits, challenges, and future research directions. The study uses a systematic literature review approach and synthesizes relevant literature from various sources. The results indicate that AIOT has immense potential to revolutionize the way smart cities operate by enhancing the efficiency, sustainability, and livability of urban spaces. However, the adoption of AIOT also poses several challenges such as security, privacy, and ethical concerns. The paper concludes that a more collaborative and interdisciplinary approach is needed to fully realize the potential of AIOT in smart cities and address the challenges that come with it. The findings of this review provide useful insights for policymakers, practitioners, and researchers interested in the development and implementation of AIOT in smart cities.
Optimizing Household Energy Consumption Using Numerical Approaches to Reduce Costs and Environmental Impacts Saluky; Fathimah , Aisya
International Journal of Smart Systems Vol. 1 No. 3 (2023): August
Publisher : Etunas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijss.v1i3.14

Abstract

In an effort to face the challenges of increasing global energy consumption and its environmental impacts, optimizing energy use in the household sector is one of the important solutions. This article proposes a numerical approach to optimize household energy consumption with the aim of reducing costs and environmental impacts. Through mathematical modeling and simulation, this method evaluates the energy use of household electrical devices, and analyzes efficient energy consumption patterns. The results of the study show that the implementation of this optimization strategy can reduce energy costs by up to 20% and reduce carbon emissions, thus supporting environmental sustainability. This approach can be applied by both urban and suburban households, making a significant contribution to green energy initiatives and national energy-saving policies.