Design review plays an important role in verifying design standards and ensuring or shortening the design cycle of the project in collaborative process plant CAD. Visualization of 3D process plant models is an essenti...
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Recently, a method for estimating permittivity distributions was reported. The method combined a numerical technique (Finite Element Method) with Genetic Algorithm (GA). However, methods for estimating the distributio...
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This paper proposes a novel face recognition algorithm inspired by the selective attention of Human Visual System (HVS). We record four observers' eye movements when they are viewing 100 FRGC [1] frontal view face...
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By studying the way a previous study is using utility function with multi-choice goal programming (MCGP), some drawbacks are identified. These drawbacks can mistakenly result in an incomplete representativeness of the...
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For two-player games of perfect information such as Chess, we introduce "uniqueness" properties to describe game positions in which a winning strategy (should one exist) is forced to be unique. Depending on ...
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This works presents an innovative application of Markov Decision Process (MDP) to a medium-term mining logistics planning problem considering the mine-to-client supply chain. We implemented three distinct algorithms b...
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CAM is widely used in microprocessors and SOC TLB modules. It gives great advantage for software development. And TLB operations become bottleneck of the microprocessor performance. The test cost of normal BIST approa...
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This paper explores the development of a multilabel machine learning system for predicting both gender and age from human gait patterns. Gait analysis, a non-intrusive method of identifying subtle nuances in human mov...
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Smart villages that utilize digital technology are a solution to assist rural community services in meeting their needs, especially for developing countries. However, financial problems, namely the high cost of infras...
Smart villages that utilize digital technology are a solution to assist rural community services in meeting their needs, especially for developing countries. However, financial problems, namely the high cost of infrastructure, the size of the informal economy and governance are challenges in limiting the government’s aspirations regarding the smart village concept. The presentation of this article examines the state of smart village development in developing countries, which includes conceptual understanding, motivations, drivers and barriers to smart villages. The purpose of this study is to find answers to research questions by reviewing several selected study articles. The method used was to search for selected studies and there were 60 selected studies identified from a search of five literature databases which initially contained 3394 articles. The results of the data were analyzed using synthetic analysis and thematic analysis. The results of this study found data related to Concept, Technology, Barriers To Smart Village which came from several articles by answering questions from the research, namely RQ1: How many articles from the 10 most populous countries discussed Smart Village, RQ2: What are the basic dimensions of Smart Village, RQ3: What new technologies are discussed in Smart Village digitization, RQ4: What are the Challenges in Smart Village. The results of this SLR can also later be used as a reference for further researchers to find out the background of research related to smart villages. The conclusion obtained in this research is the end of the explanation of this article concludes that there are still many shortcomings in this research and it is hoped that in the future many studies will be able to explore other aspects such as regulations and others that are not discussed in the article so that it is expected to be a reference for further researchers to examine information related to smart villages. in order to find an ideal and up-to-date con
Description Logics based languages have emerged as the standard knowledge representation scheme for ontologies. Typically, an ontology formalizes a number of dependent and related concepts in a domain, encompassed as ...
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Description Logics based languages have emerged as the standard knowledge representation scheme for ontologies. Typically, an ontology formalizes a number of dependent and related concepts in a domain, encompassed as a terminology. As defining such terminologies manually is a complex, time consuming and error-prone task, there is great interest and even demands for methods that learn terminologies automatically. Learning a terminology in Descriptions Logics concerns to learn several related concepts. This process would greatly benefit of an ideal order to determine which concept should be learned before another concept. Arguably, such an order would yield rich and readable terminologies, as previously, and interrelated concepts formerly learned could be used to induce the description of further concepts. In this work, we contribute with a formal definition of the concept and terminology learning problems and from such definitions we devise an algorithm for finding an ordering through concept taxonomy discovery, that should be followed when learning several related concepts. We show through an experiment that by following the order detected by the algorithm, we are able to afford a more readable terminology than methods that do not conceive an ideal order or do not learn concepts in a dependent way.
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