• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.16 no.2
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• pp.259-270
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• 1998

The purpose of this study is to develop the model curriculum for Geomatics/Geoinformatics. Geomatics/Geoinformatics are emerging discipline for spatial data acquisition and processing. They have multidisciplinary characteristics which include surveying, computer sciences, spatial data processing-related disciplines. This study carried out with the in-depth study to the related department's the academic characteristics and curriculums. Generally, the curriculum consists of surveying and information technology. They basically require mathematics, physics as prerequisites. The related-departments belong to the engineering or science part. So, We can conclude that the academic characteristics have to belong In engineering sides. Modern disciplines usually require balanced knowledge, and Geomatics/Geoinformatics have to the multidisciplinary approaches. This study shows 1) the model curriculum of Geomatics/Geoinformatics for the 21st century by analyzing the related departments' curriculum, it consist of surveying, computer/information sciences, sustainable urban management and related laws, etc., 2) the needs of the good cooperation among the related disciplines and industry for the development of standardized texts and curriculums, 3) the needs of new certification for Geomatics/Geoinformatics, etc.

• Steel and Composite Structures
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• v.45 no.3
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• pp.389-408
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• 2022

Residual capacity is defined as the load carrying capacity of an RC column after undergoing severe damage. Evaluation of residual capacity of RC columns is necessary to avoid damage initiation in RC structures. The central aspect of the current research is to propose an empirical formula to estimate the residual capacity of RC columns after undergoing severe damage. This formula facilitates decision making of whether a replacement or a repair of the damaged column is adequate for further use. Available literature mainly focused on the simulation of explosion loads by using simplified pressure time histories to develop residual capacity of RC columns and rarely simulated the actual explosive. Therefore, there is a gap in the literature concerning general relation between blast damage of columns with different explosive loading conditions for a reliable and quick evaluation of column behavior subjected to blast loading. In this paper, the Arbitrary Lagrangian Eulerian (ALE) technique is implemented to simulate high fidelity blast pressure propagations. LS-DYNA software is utilized to solve the finite element (FE) model. The FE model is validated against the practical blast tests, and outcomes are in good agreement with test results. Multivariate linear regression (MLR) method is utilized to derive an analytical formula. The analytical formula predicts the residual capacity of RC columns as functions of structural element parameters. Based on intensive numerical simulation data, it is found that column depth, longitudinal reinforcement ratio, concrete strength and column width have significant effects on the residual axial load carrying capacity of reinforced concrete column under blast loads. Increasing column depth and longitudinal reinforcement ratio that provides better confinement to concrete are very effective in the residual capacity of RC column subjected to blast loads. Data obtained with this study can broaden the knowledge of structural response to blast and improve FE models to simulate the blast performance of concrete structures.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.273-276
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• 2004

Multidisciplinary Design Optimization (MDO) is an individual and parallel design framework applied in designing large and complex systems. for successful implementation of MDO framework it is essential to manage data in efficient and integrated manner. In this study, we present a case study to implement database to support designing super high temperature vacuum furnace with MDO technology. For that purpose we first extract required data based on the analysis of design process and then data flows between different programs are analyzed. Finally an E-R diagram is presented to design database schema.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.25-31
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• 2023

Fog computing diversifies cloud computing by using edge devices to provide computing, data storage, communication, management, and control services. As it has a decentralised infrastructure that is capable of amalgamating with cloud computing as well as providing real-time data analysis, it is an emerging method of using multidisciplinary domains for a variety of applications; such as the IoT, Big Data, and smart cities. This present study provides an overview of the security and privacy concerns of fog computing. It also examines its fundamentals and architecture as well as the current trends, challenges, and potential methods of overcoming issues in fog computing.

• Journal of the Korean Solar Energy Society
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• v.37 no.5
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• pp.1-11
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• 2017

A study on Nacelle Lidar (Light detection and ranging) measurement error and the data reliability verification was carried out at Haengwon wind farm on Jeju Island. For measurement data error processing, the characteristics of Nacelle Lidar measurements were analyzed by dividing into three parts, which are weather conditions (temperature, humidity, atmosphere, amount of precipitation), mechanical movement (rotation of wind turbine blades, tilt variation of Nacelle Lidar) and Nacelle Lidar data availability. After processing the measurement error, the reliability of Nacelle Lidar data was assessed by comparing with wind data by an anemometer on a met mast, which is located at a distance of 200m from the wind turbine with Nacelle Lidar. As a result, various weather conditions and mechanical movement did not disturb reliable data measurement. Nacelle Lidar data with availability of 95% or more could be used for checking Nacelle Lidar wind data reliability. The reliability of Nacelle Lidar data was very high with regression coefficient of 98% and coefficient of determination of 97%.

• Journal of the Korean Solar Energy Society
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• v.36 no.2
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• pp.9-17
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• 2016

In order to examine how accurately the wind farm design software, WindPRO and Meteodyn WT, predict annual energy production (AEP), an investigation was carried out for Seongsan wind farm of Jeju Island. The one-year wind data was measured from wind sensors on met masts of Susan and Sumang which are 2.3 km, and 18 km away from Seongsan wind farm, respectively. MERRA (Modern-Era Retrospective Analysis for Research and Applications) reanalysis data was also analyzed for the same period of time. The real AEP data came from SCADA system of Seongsan wind farm, which was compare with AEP data predicted by WindPRO and Meteodyn WT. As a result, AEP predicted by Meteodyn WT was lower than that by WindPRO. The analysis of using wind data from met masts led to the conclusion that AEP prediction by CFD software, Meteodyn WT, is not always more accurate than that by linear program software, WindPRO. However, when MERRA reanalysis data was used, Meteodyn WT predicted AEP more accurately than WindPRO.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.4
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• pp.234-243
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• 2022

In Korea, hail damage occurs every year, and in the case of agriculture, it causes severe field crop and cultivation facility losses. Therefore, it is necessary to develop a hail information service system customized for Korea's primary production and crop-growing areas to minimize hail damage. However, the observation of hail is relatively more difficult than that of other meteorological variables, and the available data are also spatially and temporally variable. A hail information service system was developed to understand the temporal and spatial distribution of hail occurrence. As part of this, a hail observation database was established that integrated the observation data from Korea Meteorological Administration with the information from newspaper reports. Furthermore, a hail risk map was produced based on this database. The risk map presented the nationwide distribution and characteristics of hail showers from 1970 to 2018, and the northeastern region of South Korea was found to be relatively dangerous. Overall, hail occurred nationwide, especially in the northeast and some inland areas (Gangwon, Gyeongbuk, and Chungbuk province) and in winter, mainly on the north coast and some inland areas as graupel (small and soft hail). Analyzing the time of day, frequency, and hailstone size of hail shower occurrences by region revealed that the incidence of large hail stones (e.g., 10 cm at Damyang-gun) has increased in recent years and that showers occurred mainly in the afternoon when the updraft was well formed. By integrating multidisciplinary data, the temporal and spatial gap in hail data could be supplemented. The hail risk map produced in this study will be helpful for the selection of suitable crops and growth management strategies under the changing climate conditions.

• Korean Parent-Child Health Journal
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• v.18 no.1
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• pp.39-45
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• 2015

Purpose: This study aimed to analyze the women's health nursing curriculum in Korean nursing baccalaureate education. Methods: This study was conducted with women's health nursing curriculum from one nursing school. Data were collected through one nursing school in A city, Korea from November to December, 2014. Data were analyzed using 4 domain of Posner's curriculum analysis. Results: Curriculum documentation and origins were based on the nursing standard from Korean Accreditation Nursing Board Education and the learning goal of maternal nursing from Korean Nursing Association. The purpose and content of the curriculum were composed with cognitive, affective, and psychomotor domains. The curriculum was organized deductively and multidisciplinary. Conclusion: The continuity, sequence, integration, and articulation were advantage of the curriculum. The concept map of women's health nursing curriculum can contribute to share the objectives between teachers and learners.

• Journal of the Korea Safety Management & Science
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• v.1 no.1
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• pp.69-77
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• 1999

One of the objectives of any task design is to provide a safe and helpful workplace for the employees. The safety and health module may include means for confronting the design with safety and health regulations and standards as well as tools for obstacles and collisions detection (such as error models and simulators), Virtual Reality is a leading edge technology which has only very recently become available on platforms and at prices accessible to the majority of simulation engineers. The design of an automated manufacturing system is a complicated, multidisciplinary task that requires involvement of several specialists. In this paper, a design procedure that facilitates the safety and ergonomic considerations of an automated manufacturing system are described. The procedure consists of the following major steps. Data collection and analysis of the data, creation of a three-dimensional simulation model of the work environment, simulation for safety analysis and risk assessment, development of safety solutions, selection of the preferred solutions, implementation of the selected solutions, reporting, and training. When improving the safety of an existing system the three-dimensional simulation model helps the designer to perceive the work from operators point of view objectively and safely without the exposure to hazards of the actual system.

• Korean Journal of Computational Design and Engineering
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• v.15 no.2
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• pp.157-165
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• 2010

In the manufacturing industries, CAE analysis results are frequently required during the product development process for design verification. CAE data which include all related information of an analysis is, however, not efficiently shared among engineers because CAE data size is in general very large to deal with. At first, we represent a proposed lightweight format which is capable to include all the types of CAE analysis results and to support hierarchical data structure. Since each CAE system has different data structures of its own, a translator which translates to the proposed format is also represented. Unlike the design environment with CAD system, many CAE systems are used in a manufacturing company because many sorts of analysis are performed usually for a product design. Thus, lots of CAE results are generated and occupy huge size within storage, and they make it harder to manage or share many CAE results efficiently. A multi-CAE management system which is able to share many types of CAE data simultaneously using lightweight format is proposed in this paper. Finally, an implementation of the system for this will be introduced.