The Method of Power Domain Ontology Construction and Reasoning based on Power Business Platform (전력 비즈니스 플랫폼 기반의 전력 도메인 온톨로지 구축 및 추론 방법)
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- Smart Media Journal
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- v.9 no.2
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- pp.51-62
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- 2020
Starting with the "Smart Grid National Road Map" in 2010, the Smart Grid 2030 was introduced through the basic plan and implementation plan of the intelligent power grid with the goal of building the world's first national smart grid. In this paper, we intend to build a power domain ontology based on the power business platform based on the upper and lower conceptual models of the "Smart Grid Interoperability Standard Framework and Roadmap", the standard of implementation plan. Ontology is suitable for expressing and utilizing the smart grid conceptual model because it considers hierarchical structure as knowledge defines the properties of entities and relationships between entities, but there is no research related to them. Therefore, in this paper, the upper ontology was defined as a major category for smart grid-related fields, and the lower ontology was defined as detailed systems and functions for the upper ontology to construct the ontology. In addition, scenarios in various situations that could occur in the power system were constructed and significant inference results were derived through inference engines and queries.
Agent-based modeling and simulation (ABMS) is used to model of market and social phenomena by utilizing agents' fine-grained behaviors and interactions that cannot be implemented in a conventional simulation. However, ABMS represents irrational agents and hinders the achievement of individual or overall goals since ABMS is based on agent-based software, which follows the principle of rationality at the knowledge level [1]. This problem was solved in the agent-based software engineering (ABSE) field by using behavior laws for the social level [2]. However, they still do not propose the specific development methodology for how to develop the social level in a systematic way. Therefore, in order to propose agent-based modeling and simulation methods that reflect the behavior laws of social level characteristics, our study used the Tropos that can combine ABSE and social behavior laws for the presentation of concrete tasks and deliverables for each development step by step. In addition, the proposed method will be specified through experiments with specific application examples and case studies on the self-adaptive smart grid and the military domain system.
This study aims to investigate how high school teachers and students perceive the purpose of science learning. Participants were high school science teachers and students from one hundred and sixty high schools nationwide, which were selected through proportional stratified sampling method. Teachers and students responded on open-ended questionnaires about the purpose of science learning. The data were analyzed using the semantic network analysis method. Our study illustrates three major finding: First, teachers recognized the intrinsic value related to cognitive domain as the more important purpose of science learning, while students recognized the extrinsic value related to personal usefulness domain as more important. Second, teachers' responses were significantly different depending on the teaching career. Beginning teachers believed both intrinsic and extrinsic values were equally important, while experienced teachers believed the cognitive domain about understanding of scientific knowledge was more important than intrinsic values. In other words, the differences in perception of the purpose of science between teachers and students, the experienced teachers is greater than the beginning teachers. Finally, students' responses were different depending on their academic track. Humanity major students recognized that learning science made their everyday-life easier while science major students recognized that learning science should be related to their future careers. In conclusion, the results of this study is expected to be of use as the basic data to identify the characteristic of teachers and students related to science.
This research investigated the Revised mathematics curriculum and the National Achievement Test of Japan that advanced by leaps and bounds in PISA 2012. As compared with Korea, Japan shows similar trends in the affective domain and the cognitive domain of international achievement test. To put it concretely, this research compared and analyzed the mathematics contents domain of the 2009 revised mathematics curriculum of Korea and the 2008 revised mathematics curriculum of Japan being applied. The analysis was conducted in many aspects including overall of Japanese mathematics education system, the contents to be covered in each grade, and the methods of essential learning themes. We compared the mathematics contents dealt with each country based on the framework of analysis such as