This work studies formation control of Multi-Agent Systems (MASs) where its formation size is scalable via a scaling factor (scalable formation). Previous works on scalable formation are limited to either fixed undire...
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River pollution has become a severe problem in Indonesia. Industrial waste causes water pollution because the waste is not filtered before being discharged into the river. Illegal waste dumping cannot be prosecuted du...
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Management of patient data at the Technical Implementation Unit of the Community Health Center (UPT. Puskesmas) of Rhee Sumbawa District has not been fully computerized. The need for the development of an Information ...
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This paper conducts a comprehensive analysis of electrical generator performance using Finite Element Analysis (FEA), with a specific emphasis on the role of coil numbers in influencing generator efficiency and functi...
This paper conducts a comprehensive analysis of electrical generator performance using Finite Element Analysis (FEA), with a specific emphasis on the role of coil numbers in influencing generator efficiency and functionality. In the context of modern energy systems, where efficient power generation is paramount, this research aims to elucidate the relationship between the number of coils within a generator and its overall performance, including power output and electromagnetic behavior. Through systematic FEA simulations that vary coil numbers while keeping other parameters constant, this study provides valuable insights into the trade-offs associated with increased coil numbers and enhanced efficiency. These findings have significant implications for optimizing generator designs across various applications, from renewable energy systems to industrial power generation, ultimately advancing our understanding of generator dynamics and contributing to more sustainable and efficient power generation technologies.
This article examines the issue of load imbalance in electric power distribution systems, which leads to current flow in the neutral conductor of transformers. The study aims to investigate the impact of load imbalanc...
This article examines the issue of load imbalance in electric power distribution systems, which leads to current flow in the neutral conductor of transformers. The study aims to investigate the impact of load imbalance on neutral current and losses in the transformer. The analysis reveals that a load imbalance of 24% during the day results in a large neutral current of 109 A and increased losses due to neutral current flowing to the ground (8.47%). The findings highlight the significance of load balancing in reducing losses and improving the efficiency of electric power distribution systems. The study provides insights for researchers and practitioners to develop strategies for load balancing to mitigate the effects of load imbalance on transformer losses.
This study investigated how the addition of hydrophilic TiO2to a porous asymmetric polyvinylidene fluoride (PVDF) Ultrafiltration (UF) membrane altered its properties and performance. The hydrophilicity and flux of PV...
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Metaheuristics have evolved significantly in the last few decades. Nowadays, more complex problems and essential applications are emerging, requiring more powerful metaheuristics to handle them. This article analyzes ...
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ISBN:
(数字)9798350379839
ISBN:
(纸本)9798350379846
Metaheuristics have evolved significantly in the last few decades. Nowadays, more complex problems and essential applications are emerging, requiring more powerful metaheuristics to handle them. This article analyzes the characteristics and performance of existing metaheuristics, with particular emphasis on their learning mechanisms. Several critical aspects for improvement are identified, and several promising future research areas are recommended.
Information technology support is desperately needed for higher education. Universities must use information technology to effectively and efficiently manage potential resources to compete with other institutions. Uti...
Information technology support is desperately needed for higher education. Universities must use information technology to effectively and efficiently manage potential resources to compete with other institutions. Utilization of IT in Higher Education Governance, particularly the academic information system at Nusa Nipa University, lacks a structured architecture. The current IT infrastructure is insufficient to respond promptly and precisely to application and business change solutions. This study aims to simplify the process of developing information system architecture by developing an architectural model and an implementation roadmap. This study's design uses the TOGAF ADM model, The organization's initial condition analysis stage is the preliminary requirement management phase; architectural vision; and business architecture. The enterprise architecture design begins with the second stage's information system architecture and technology architecture phases. The subsequent phases of opportunities and solutions, migration planning, and change management, recommendations for implementing enterprise architecture are presented in the third section. The consequences of this study are IT outlines for each engineering stage given the TOGAF ADM structure for business processes in new understudy affirmations frameworks, scholastic cycles, graduated classes, and libraries to help data frameworks at Nusa Nipa College. This research can create a blueprint for IT development suggestions for expected business techniques at Nusa Nipa College.
Ontology is an organization of knowledge that can represent knowledge in a structured manner. An ontology-based Knowledge Management System is a system that combines elements of knowledge management with the applicati...
Ontology is an organization of knowledge that can represent knowledge in a structured manner. An ontology-based Knowledge Management System is a system that combines elements of knowledge management with the application of ontology as a knowledge base. Meanwhile, knowledge is dynamic and continues to develop all the time, giving rise to new knowledge. Therefore, the ontology must be updated regularly through ontology enrichment to meet adequate knowledge requirements. Ontology enrichment is carried out to ensure that the ontology remains relevant and responsive to developments in its knowledge domain. However, there are no standard stages in implementing enrichment in ontology-based Knowledge Management systems. Therefore, this research conducted a literature review to determine when and how to apply enrichment in ontology development. Data was obtained from related journals in 2018 - 2023. The method used in this research is the Systematic Literature Review method to systematically identify, review, evaluate, and interpret all available research in the area of interest with specific relevant research questions. The research results show that the ontology enrichment procedure generally includes preprocessing stages, relation extraction, and enrichment processes. Ontology enrichment is generally applied during the development of a new ontology as part of the ontology development cycle and on existing ontologies, which are a separate stage from the initial ontology development cycle. Based on these findings, the researcher provides recommendations for researchers who want to use or develop new ontology enrichment methods.
This study works on scalable formation control of general linear system agents which based on self-loop Laplacian method. Self-loop Laplacian method for scalable formation is used when it is desired that the initial s...
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ISBN:
(数字)9798331508616
ISBN:
(纸本)9798331508623
This study works on scalable formation control of general linear system agents which based on self-loop Laplacian method. Self-loop Laplacian method for scalable formation is used when it is desired that the initial states of agents and communication topology of agents affects the formation size directly. Proof is provided demonstrating that the self-loop Laplacian matrix shares spectral properties with the standard Laplacian matrix, and the two can be related through a transformation matrix. Existing works on scalable formation mostly focused on single and double integrator agents, particularly where the control input algorithm uses self-loop Laplacian matrix. Extending the work on self-loop Laplacian matrix, this study proposes a control input algorithm for agents in linear system dynamics. The algorithm uses both self-loop Laplacian formulation and general linear system consensus methods, and the stability of the whole system is proven using Lyapunov direct method. Two numerical examples with 4 and 5 agents are shown to verify the result.
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