International Journal of Advances in Applied Computational Intelligence
Journal DOI
2833-5600ISSN (Online)
Understanding the efficacy, efficiency, and viability of 5G network design in addressing the needs of the current digital age relies heavily on its assessment. This paper summarizes the assessment of 5G network design, including the evaluation methodology, evaluation techniques, and major conclusions. Infrastructure needs, network capacity, security, interoperability, and cost-effectiveness are just some of the topics it brings up. In order to overcome obstacles and guarantee 5G's effective deployment and performance in real-world settings, the abstract finishes by stressing the need of constant review and improvement of network design. This paper used the single valued neutrosophic set to overcome the uncertain data in evaluation 5G network architecture. The single valued neutrosophic set integrated with multi-criteria decision making (MCDM) tools to evaluate and select best 5G network architecture. The single valued neutrosophic TOPSIS method used to select best 5G network architecture.
Read MoreDoi: https://doi.org/10.54216/IJAACI.040101
Vol. 4 Issue. 1 PP. 08-18, (2023)
Considering renewable energy sources in assessments of sustainable electricity production is essential for accelerating the shift to a greener and more sustainable energy system. The evaluation takes into account a wide range of factors, such as the renewable energy source, carbon footprint, energy efficiency, environmental impact, grid integration, policy support, cost, social and economic implications, technological progress, and certification for transparency. Sustainable power deployment may be hastened via careful consideration of these aspects by policymakers, energy planners, and other stakeholders. This paper shows the hybrid multi-criteria decision-making method with the single-valued neutrosophic set. The single valued neutrosophic set was used to overcome the vague information. The single valued neutrosophic set hybrid with the Characteristic Object METhod (COMET) method. The COMET method is an MCDM method. It is used to rank the alternatives. This paper used ten criteria and ten alternatives. The application is conducted to show the results of the proposed method.
Read MoreDoi: https://doi.org/10.54216/IJAACI.040102
Vol. 4 Issue. 1 PP. 19-27, (2023)
Stakeholders must evaluate the efficiency, profitability, risk management, and overall operational effectiveness of shipping businesses by analyzing their financial and operational performance. Revenue, expenses, fleet utilization, accident rates, market share, and competitive advantage are only a few of the parameters that must be analyzed in this procedure. Stakeholders may use this information to make better choices, spot weak spots, and measure up to competitors. An overview of the criteria used to evaluate the financial and operational performance of shipping businesses is provided in this paper, together with an emphasis on the importance of such assessments in enabling strategic decision-making and long-term development within the shipping sector. This paper used the neutrosophic set framework to overcome the uncertain data. The neutrosophic set combined with the combinative distance-based assessment (CODAS) method to evaluate the financial and operational performance of shipping companies. There are ten criteria and eight companies are used in this study. The application shows the results of the proposed method.
Read MoreDoi: https://doi.org/10.54216/IJAACI.040103
Vol. 4 Issue. 1 PP. 28-36, (2023)
Industry 4.0, also known as the fourth industrial revolution, is a concept that refers to an increased degree of automation with the purpose of increasing operational productivity and efficiency in an industry by integrating the virtual and physical worlds. As a result of the inability of Industry 4.0 to answer and fulfill the rising demand for personalization, the phrase "Industry 5.0" was established to address personalized production and to empower individuals in the manufacturing process. The introduction of the phrase "Industry 5.0" has been met with various perspectives about how it should be defined and what aspects of coexistence between people and robots should be prioritized. This acts as the impetus for this work in identifying and analyzing the many topics and research trends of what Industry 5.0 is employing text mining tools and methodologies. In this article, a comprehensive discussion of the possible applications of Industry 5.0, including intelligent healthcare, cloud manufacturing, supply chain management, and production in the manufacturing industry, is presented. After that, we will talk about some of the enabling technologies for Industry 5.0, such as edge computing, digital twins, collaborative robots, the Internet of Everything (IoE), blockchain, and networks that are 6G and beyond. In conclusion, we discuss a number of research obstacles and unresolved questions that need to be further investigated in order to realize the potential of Industry 5.0. In recent years, it has come to the attention of the scientific community that the concept of Industry 5.0 as a doorway leading to the connectedness and co-existence of humans and machines has been garnering a growing amount of interest.
Read MoreDoi: https://doi.org/10.54216/IJAACI.040104
Vol. 4 Issue. 1 PP. 37-46, (2023)
Emerging technology, known as digital twin (DT) is surrounded by numerous promises and potentials to influence the future of industries and society as a whole. A DT is a system of systems that goes much beyond conventional computer simulations and analyses. It is the process of replicating all of the components, processes, and dynamics of a physical system into their corresponding digital counterparts. Both the physical and digital systems coexist in the same space, sharing all of the inputs and activities via the use of real-time data transfers and the exchange of information. The DT provides a platform for testing and assessing complicated systems, which is not achievable with conventional simulations or modular assessments. This is one of the many benefits offered by the DT. However, the development of this technology faces many challenges, such as the complexities in effective communication and data accumulation, the lack of data available to train machine learning (ML) models, the lack of processing power to support high-fidelity twins, the high need for collaboration between different fields of study, and the absence of standardized development methodologies and validation measures. Due to the fact that DTs are still in the early phases of development, little documentation exists. In this light, the purpose of this survey article is to make attempt to address the significant facets involved in the actualization of the technology. The most important enabling technologies, constraints, and opportunities associated with DTs are discussed. The article presents an in-depth analysis of the technology, includes a list of design aims and objectives, analyses research and commercial advances, details the applications of the technology, and identifies obstacles and constraints associated with design across many sectors.
Read MoreDoi: https://doi.org/10.54216/IJAACI.040105
Vol. 4 Issue. 1 PP. 47-53, (2023)