• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.488-490
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• 2001

It is important to catch or classify fault types by any detecting technique for distribution protection. This paper proposes the technique to classify the fault types using wavelet transform in radial distribution line. Modeling of the radial distribution line is simulated using PSCAD/EMTDC and wavelet transform is performed in the Matlab program.

• The Mathematical Education
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• v.57 no.4
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• pp.371-391
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• 2018

The purpose of this study is to analyze manifestation examples and effects of group creativity in mathematical modeling and to discuss teaching and learning methods for group creativity. The following two points were examined from the theoretical background. First, we examined the possibility of group activity in mathematical modeling. Second, we examined the meaning and characteristics of group creativity. Six students in the second grade of high school participated in this study in two groups of three each. Mathematical modeling task was "What are your own strategies to prevent or cope with blackouts?". Unit of analysis was the observed types of interaction at each stage of mathematical modeling. Especially, it was confirmed that group creativity can be developed through repetitive occurrences of mutually complementary, conflict-based, metacognitive interactions. The conclusion is as follows. First, examples of mutually complementary interaction, conflict-based interaction, and metacognitive interaction were observed in the real-world inquiry and the factor-finding stage, the simplification stage, and the mathematical model derivation stage, respectively. And the positive effect of group creativity on mathematical modeling were confirmed. Second, example of non interaction was observed, and it was confirmed that there were limitations on students' interaction object and interaction participation, and teacher's failure on appropriate intervention. Third, as teaching learning methods for group creativity, we proposed students' role play and teachers' questioning in the direction of promoting interaction.

• Smart Structures and Systems
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• v.19 no.1
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• pp.67-90
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• 2017

The interdisciplinary research area of small scale energy harvesting has attracted tremendous interests in the past decades, with a goal of ultimately realizing self-powered electronic systems. Among the various available ambient energy sources which can be converted into electricity, wind energy is a most promising and ubiquitous source in both outdoor and indoor environments. Significant research outcomes have been produced on small scale wind energy harvesting in the literature, mostly based on piezoelectric conversion. Especially, modeling methods of wind energy harvesting techniques plays a greatly important role in accurate performance evaluations as well as efficient parameter optimizations. The purpose of this paper is to present a guideline on the modeling methods of small-scale wind energy harvesters. The mechanisms and characteristics of different types of aeroelastic instabilities are presented first, including the vortex-induced vibration, galloping, flutter, wake galloping and turbulence-induced vibration. Next, the modeling methods are reviewed in detail, which are classified into three categories: the mathematical modeling method, the equivalent circuit modeling method, and the computational fluid dynamics (CFD) method. This paper aims to provide useful guidance to researchers from various disciplines when they want to develop and model a multi-way coupled wind piezoelectric energy harvester.

• Journal of Korean Society for Atmospheric Environment
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• v.29 no.4
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• pp.459-476
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• 2013

Receptor models have been rapidly developed to manage the ambient air quality and to establish effective emission reduction strategies. The models are used to identify various emission sources and apportion quantitatively the ambient pollutant mass based on various measured physico-chemical properties of the air pollutants at the receptor site. Many types of receptor models have been applied to estimate source contributions since those provide fundamental information when establishing reasonable environmental policies in Korea and Foreign countries. In this paper, we will introduce the basic concept and principal of the receptor model, various types of existing models with discussing strong and weak points for each model, and performance procedure of PMF model as the most popular model in the world. Further the trends of receptor modeling studies in Korea and other countries were provided. Finally, the improvement directions of the modeling works for the national and local air quality management were suggested in this paper.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.1
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• pp.80-87
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• 2009

The purpose of this study is to analyze the MAUP's effect in visibility analysis using GIS. MAUP normally occurs in the process in terrain spatial analysis including visibility analysis. There are two different types of grid data(based on digital map and Digital Terrain Elevation Data) and 10 different types of areal units are made for modeling, such as $5m{\times}5m,\;10m{\times}10m,\;15m{\times}15m,\;20m{\times}20m,\;25m{\times}25m,\;30m{\times}30m,\;35m{\times}35m,\;40m{\times}40m,\;45m{\times}45m,\;50m{\times}50$. By analyzing the result, it was possible to observe varying viewshed areas according to different grid cell sizes and the viewshed area did not varied linearly as expected. From a general point of view, smaller unit data map out the real world in more detail, but the results of modeling do not always reach a good conclusion when data are used in modeling for terrain analysis because of the MAUP' effect. The grid cell sizes of 30m or less seems to be adequate for visibility analysis, including terrain analysis considering vegetation heights.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.9
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• pp.850-863
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• 2008

Business Process is a set of interrelated business functions, which are defined by various business process rule and that will lead a company to accomplishing a specific organizational goal. Many business organizations are using process modeling methods for their business process management, but mostly these methods are accomplished by Human-Based activities. These human-based activities cause unexpected design anomalies in modeling phase. If process engine executed without design anomalies detection, that will be lead to huge loss on costs. To ensure that there is no design anomalies in modeling phase and to detect anomalies of predefined actions within modeling tools are important issues in business process management. In this paper, we provide specific types of design anomalies, which can effectively use to detect design anomalies in business process modeling phase.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.2
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• pp.117-136
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• 2020

The purpose of this study is to analyze changes in high-tech fashion along with the types and characteristics of high-tech fashion that have appeared recently providing diverse material for the fashion field. High-tech fashion requires such research to learn how much distance one has in one's life. It is also meaningful to predict what direction high-tech fashion research may be needed. For research methods, previous research and literary studies were considered and photographs in which high-tech techniques were used were collected using the keyword 'high-tech fashion'. High-tech fashion types can be organized into the four types of luminescent types, mutual interaction types, 3D printing fashion, and virtual fashion. The research results were as follows. First, luminescent fashion was an important expression method of high-tech fashion. Materials for luminescent fashion first started with LED electric wire connections and many methods have been attempted with the appearance of electrically conductive clothing material, such as luminescent lasers and beam projectors. Second, interactive high-tech fashion often appears as variable fashion. The work of Hussein Chalayan, which was combined with advanced technology, set up a base for variable type interactive high-tech fashion in the 2000s. As bioengineering technology has developed, fashion that interacts with the environment without an energy source has appeared and the interaction among fashion, people, and the environment can be seen. Third, diverse forms of expressiveness in virtual reality such as 3D CLO shows a great difference with past high-tech fashion. Simple and diverse attempts made through virtual fittings reduce the limitations of time and space, permit interaction, and add a sense of reality through speed and dynamic physical beauty. Fourth, 3D printed fashion expresses complex and detailed clothing material that is different from those before with the development of computer 3D modeling technology. Modeling that can imitate geometric and bio-engineered structures is possible and mysterious feelings are passed on to people through creative expressions.

• Korean Management Science Review
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• v.28 no.1
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• pp.91-105
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• 2011

Among various types of creativity, team creativity has been always receiving attention from both practitioners and researchers because most of works are done in a team format in organizations. Therefore, it would be the best way for corporate performance to increase when team creativity is managed carefully to increase in a steadfast way. Though there are lots of ways to grow team creativity, this study explores the issue of increasing the team creativity by adopting CMC (computer-mediated communication) and exploration and exploitation, which were studied separately, but never analyzed together in the same research framework. Experiments to prove the validity of the research questions are based on ABM (Agent-Based Modeling) simulation. Netlogo language was adopted to build a prototype engine for the simulation engine. Experiment results revealed that in the short-term, both broad CMC mode with high exploration and exploitation, and local CMC mode with high exploration and exploitation result in higher team creativity than other types of combination. However, in the long run, broad CMC mode yields higher team creativity level than local CMC mode.

• Journal of Electrical Engineering and Technology
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• v.10 no.4
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• pp.1796-1803
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• 2015

While considering the current scenario, in this world power demand goes on increases day by day. Frequent power outages occur in high voltage transmission line due to the deprived performance of polluted insulators; this affects overall operation of power system and may indirectly impinge on the growth of production sector. Many researchers are keenly taking efforts to provide highly reliable and stable power to neediest. In this paper, A.C pollution flashover performance of disc type glass insulator and composite long rod insulators investigation under various artificial pollutions by varying Equivalent Salt Density Deposition (ESDD) levels. Here, we use different types of pollution methods like binding method, dipping method and spraying methods with different types of pollutants concentration. Based on dimensional analysis, four different Mathematical models have been developed to predict the A.C pollution Flashover Voltage (FOV) of insulators. Both the experimental and mathematically modeled results are compared; it's observed that mathematical model 3 yields better results.

• Smart Structures and Systems
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• v.20 no.1
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• pp.43-52
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• 2017

Structural health monitoring has drawn great attention in the field of civil engineering in past two decades. These structural health monitoring methods evaluate structural integrity through high-quality sensor measurements of structures. Due to electronic deterioration or aging problems, sensors may yield biased signals. Therefore, the objective of this study is to develop a fault detection method that identifies malfunctioning sensors in a sensor network. This method exploits the autoregressive modeling technique to generate a bank of Kalman estimators, and the faulty sensors are then recognized by comparing the measurements with these estimated signals. Three types of faults are considered in this study including the additive, multiplicative, and slowly drifting faults. To assess the effectiveness of detecting faulty sensors, a numerical example is provided, while an experimental investigation with faults added artificially is studied. As a result, the proposed method is capable of determining the faulty occurrences and types.