• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.63-70
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• 2021

Generating a super-resolution meteological data by using a high-resolution deep neural network can provide precise research and useful real-life services. We propose a new technique of generating improved training data for super-resolution deep neural networks. To generate high-resolution meteorological data with domain specific knowledge, Lambert conformal conic projection and objective analysis were applied based on observation data and ERA5 reanalysis field data of specialized institutions. As a result, temperature and humidity analysis data based on domain specific knowledge showed improved RMSE by up to 42% and 46%, respectively. Next, a super-resolution generative adversarial network (SRGAN) which is one of the aritifial intelligence techniques was used to automate the manual data generation technique using damain specific techniques as described above. Experiments were conducted to generate high-resolution data with 1 km resolution from global model data with 10 km resolution. Finally, the results generated with SRGAN have a higher resoltuion than the global model input data, and showed a similar analysis pattern to the manually generated high-resolution analysis data, but also showed a smooth boundary.

• The Mathematical Education
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• v.60 no.4
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• pp.555-580
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• 2021

The purpose of this study is to explore the factors of situational interest in math learning, and based on the results, to reveal the factors of situational interest included in teaching and learning methods, teaching and learning activities in mathematics class, and extracurricular activities outside of class. As a result of conducting a questionnaire to high school students, the factors of situational interest in learning mathematics were divided into 10 detail-domain(Enjoy, Curiosity, Competence / Real life, Other subjects, Career / Prior knowledge, Accumulation knowledge / Transformation, Analysis), 4 general-domain(Emotion, Attitude / Knowledge, Understanding), 2 higher-domain(Affective / Cognitive) were extracted. In addition, it was revealed that various factors of situational interest were included teaching and learning methods, teaching and learning activities and extracurricular activities. When examining the meaning of 10 situational interest factors, it can be expected that the factors for developing individual interest are included, so it can be expected to serve as a basis for expanding the study on the development of individual interest in mathematics learning. In addition, in order to maintain individual interest continuously, it is necessary to maintain situational interest by seeking continuous changes in teaching and learning methods in the school field. Therefore, it can be seen that the process of exploring the contextual interest factors included in teacher-centered teaching and learning methods and student-centered teaching and learning activities and extracurricular activities is meaningful.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.3
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• pp.66-73
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• 2024

Stay-cable is one of the most important load carrying members in cable-stayed bridges. Monitoring structural integrity of stay-cables is crucial for evaluating the structural condition of the cable-stayed bridge. For stay-cables, tension and damping ratio are estimated based on modal properties as a measure of structural integrity. Since the monitoring system continuously measures the vibration for the long-term period, data acquisition systems should be stable and power-efficiency as the hardware system. In addition, massive signals from the data acquisition systems are continuously generated, so that automated analysis system should be indispensable. In order to fulfill these purpose simultaneously, this study presents an autonomous cable monitoring system based on domain-knowledge using IoT for continuous cable monitoring systems of cable-stayed bridges. An IoT system was developed to provide effective and power-efficient data acquisition and on-board processing capability for Edge-computing. Automated peak-picking algorithm using domain knowledge was embedded to the IoT system in order to analyze massive data from continuous monitoring automatically and reliably. To evaluate its operational performance in real fields, the developed autonomous monitoring system has been installed on a cable-stayed bridge in Korea. The operational performance are confirmed and validated by comparing with the existing system in terms of data transmission rates, accuracy and efficiency of tension estimation.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.1
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• pp.341-360
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• 2015

This paper proposes a noble service architecture based on scientific infographic as well as semi-automatic knowledge process for 'KISTI's Scent of Science' database, which has been highly credited as a science journalism service in Korea. Unlike other specialized scientific databases for domain experts and scientists, the database aims at providing comprehensible and intuitive information about various important scientific concepts which may seem not to be easily understandable to general public. In order to construct a knowledge-base from the database, we deeply analyze the traits of the database and then establish a semi-automatic approach to identify and extract various scientific intelligence from its contents. Furthermore, this paper defines a scientific infographic service platform based on the knowledge-base by offering its detailed structure, methods and characteristics, which shows a progressive future direction for science journalism service.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.5
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• pp.55-65
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• 2008

The strategic decision makers of the firm have faced with uncertainty and complexity. Although they must make decision under these environments, they can't have enough time, man power, budget and knowledge that they need to decide. They can't, therefore, help getting supports by experts who have implicit knowledge about the domain. But it is difficult for them to find any other procedures and methods to create, transform, combine, and apply new knowledges, whenever decision makers face the problem This paper provides a new method to support a strategic decision making by using the knowledge transformation process suggested by Nonaka. We illustrate an application case of the strategic decision making in consulting industry. This paper uses cognitive map as a decision support technology based on the suggested method.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.219-227
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• 2019

The purpose of this study was to investigate the knowledge on patient safety and performance confidence for the subject of health-related major students. Participants were 349 Health-related majors. Data were analyzed using SPSS 21.0. According to the study results, correct answer rate for patients' knowledge on safety was 65.7% in average. Average point of performance confidence was $7.11{\pm}1.74$. Considering in terms of question, patient identification was high, while effective communication was shown to be low. Patient identification, communication, surgery procedure, fall, patient's safety accident report as the lower domain for patients' knowledge on safety and performance confidence had a positive correlation, while knowledge and infection management, facility environment had a negative correlation for health-related major students, development of patients' safety education program is needed to enhance importance of patients' safety before clinical practice and to allow implementation of safe clinical practice.

• 한국디지털정책학회:학술대회논문집
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• 2004.11a
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• pp.233-246
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• 2004

This paper proposes a design of a citizen advisory model under the consideration of the unique characteristics of the government, namely complex structure of goals, predominance by laws, knowledge driven organization, and the good governance objectives. The legal knowledge-based technology is explored with the aims to facilitate citizens in accessing e-government services in five phases: search, intake, decision-making, explanations, and objection and appeal phases. The design of the citizen advisory model consists of four components: specific service advice, customized form fill-in service, decision-making services, and a statement of reasons service. The prototype of the citizen advisory model is illustrated using the Thai Anti Dumping and Countervailing Act 1999 as a legal domain and e-government services example.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.709-712
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• 1996

Generating a project network of a specific construction project is very time consuming and difficult task in the field. To effectiviely automate and support the planning process, we design a case-based project planning expert system inspired by the fact a human expert project planner uses previous cases for planning a new project. A construction project case consist of its specific characteristics and the corresponding project network (i.e. project plan). Using frame based representation. we represent the project features affecting the progress network and the entities composing the project plan such as the buildings, construction methods, WBS (work breakdown structure), activities, and resources. The project planning process runs through most similar case retrieval, case adaptation, and user requirement satisfaction. We represent the construction domain knowledge for each procedure using constraints and rules. We develop the methodology for constraint-based case adaption. Case adaptation process mainly consist of activity generation/deletion and predecence constraint satisfaction, for which we develop the dynamic constraint generation method and connect user-level requirement representation the system-level network modification knowledge. The methodology is being applied to the prototype for apartment construction project planning.

• Proceedings of the CALSEC Conference
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• 1999.07b
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• pp.607-614
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• 1999

In this paper, we demonstrate the implementation case using component based development tool under development process for application developments. The tool suggested provides the programming environment for the development of distributed manufacturing applications primarily. The development tool is classified into visual component, logic component, data component, knowledge component, neural net component, and service component which is a core component for the support component edit and execution. We applied the tool to the domain of the design and routing plan to retrieve existing similar design models in database, initiate a model, generate a process plan, and store the new model in the database automatically. Utilizing the tool, it integrates a geometric modeler, engineering/manufacturing database, and knowledge sources over the Internet.

• Korean Journal of Child Studies
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• v.26 no.2
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• pp.43-53
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• 2005

The purpose of this study was to investigate children's acquisition of cardinality in terms of a framework that isolates two cognitive components, analysis of knowledge and control of processing. The subjects were 30 4-and 5- year-olds who were asked to solve three problems that required an understanding of cardinality. The problems were designed to place different demands on these processing components on the tasks than the 4-year-olds and correlastion among scores on the three tasks show that there is no correlation between the tower task assessing control and the two tasks that assessed analysis. The implications of the results are that aspects of symbolic development may be a broadly based process that extends beyond domain-specific boundaries.