• Korean Journal of Optics and Photonics
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• v.29 no.3
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• pp.104-109
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• 2018

We explain the basic principle of transformation optics, and introduce several design techniques for transformation cavities that can maintain the characteristics of whispering gallery modes (WGMs) even if the cavity is strongly deformed from a circular shape. As a method of obtaining various transformation cavities under a specific conformal mapping, we suggest a method of parallel movement of the initial cavity domain, and a method of rotating the ellipse as a cavity domain. The internal wave pattern and the far-field output characteristics of several designed resonant modes are numerically calculated. From these results, it is confirmed that a variety of GRIN resonators are possible for a given conformal coordinate transformation.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.2
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• pp.168-177
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• 2008

Path finding is a key element in the navigation of a mobile robot. To find a path, robot should know their position exactly, since the position error exposes a robot to many dangerous conditions. It could make a robot move to a wrong direction so that it may have damage by collision by the surrounding obstacles. We propose a method obtaining an accurate robot position. The localization of a mobile robot in its working environment performs by using a vision system and Virtual Reality Modeling Language(VRML). The robot identifies landmarks located in the environment. An image processing and neural network pattern matching techniques have been applied to find location of the robot. After the self-positioning procedure, the 2-D scene of the vision is overlaid onto a VRML scene. This paper describes how to realize the self-positioning, and shows the overlay between the 2-D and VRML scenes. The suggested method defines a robot's path successfully. An experiment using the suggested algorithm apply to a mobile robot has been performed and the result shows a good path tracking.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.9
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• pp.2481-2493
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• 1996

A simple iterative design method is presented for the miniaturized dielectric filter with finite transimmission zeros. Circuit-network transformations are used to place transission zeros in the stop band. This method is simple and quick compared with conventional pole-synthesis methods. the design of the coupling EM patternof the filter needs the much computation time because its design is carried out through the field simulatior. In this paper, an efficient implementation technique of coupling circuit parameters is presented. This technique uses a linear mapping function between the circuit parameter domain and EM parameter domain to save the high computational time of EM simulator. A narrow band asymmetric filter with a transmission zero is designed and fiblicated through these technique in 1900 MHz band.

• Journal of Electrical Engineering and Technology
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• v.13 no.1
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• pp.1-10
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• 2018

Wide-area monitoring of tree-related high impedance fault (THIF) efficiently contributes to increase reliability of large-scaled network, since the failure to early location of them may results in critical lines tripping and consequently large blackouts. In the first place, this wide-area monitoring of THIF requires managing the placement of sensors across large power grid network according to THIF detection objective. For this purpose, current paper presents a framework in which sensors are distributed according to a predetermined risk map. The proposed risk map determines the possibility of THIF occurrence on every branch in a power network, based on electrical conductivity of trees and their positions to power lines which extracted from spectral data. The obtained possibility value can be considered as a weight coefficient assigned to each branch in sensor placement problem. The next step after sensors deployment is to on-line monitor based on moving data window. In this on-line process, the received data window is evaluated for obtaining a correlation between low frequency and high frequency components of signal. If obtained correlation follows a specified pattern, received signal is considered as a THIF. Thereafter, if several faulted section candidates are found by deployed sensors, the most likely location is chosen from the list of candidates based on predetermined THIF risk map.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.235-237
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• 2005

마이크로 어레이(micro array)로 표현되는 유전자 발현 패턴(gene expression pattern)들과 해당 유전자의 upstream에 위치한 DNA 서열 요소(motif)들은 유전자 발현에 밀접한 관련을 맺고 있는데 이들간의 매핑관계를 알아내는 것은 생물전산학 분야에서 중요한 문제 중 하나이다. 본 고에서는 유전자 발현 패턴 데이터와 해당 DNA에 포함된 것으로 알려진 모티프 프로파일에 대해 대응분석(correspondence analysis)을 수행하고 2차원 평면에 매핑하여 특정 유전자 발현과 밀접하게 관련된다고 여겨지는 후보 모티프를 시각적으로 직관적으로 동정하는 방법을 제시한다. 또한 유전자 발현 패턴은 일정한 길이로 나누어 가능한 모든 패턴에 대해 클러스터링을 행하여 이에 대한 인덱스로 데이터를 표현하여 패턴의 인식성과 발현 순차성을 높이는 반면 복잡도를 줄이도록 하였다. 실험에서 두가지 형태의 모티프 프로파일과 효모 Saccharomyces cerevisiae 포자형성 데이터 집합에 대하여 대응 분석을 통한 시각화된 결과를 이용해 유전자 발현과 깊게 관련되는 것으로 알려진 모티프들이 대응 유전자 발현과의 상관성이 잘 동정되고 있음을 알 수가 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.1
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• pp.84-97
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• 2012

M2M (Machine-to-Machine) Technology makes it possible to network all kinds of terminal devices and their corresponding enterprise applications. Therefore, several M2M platforms were developed in China in order to collect information from terminal devices dispersed all over the local places through 3G wireless network. However, when enterprise applications try to integrate with M2M platforms, they should be maintained and refactored to adapt the heterogeneous features and properties of M2M platforms. Moreover, syntactical and semantic unification for information sharing among applications and devices are still unsolved because of raw data transmission and the usage of distinguished business vocabularies. In this paper, we propose and develop an M2M Middleware to support agile application integration with M2M platform. This middleware imports the event engine and XML-based syntax to handle the syntactical unification, makes use of Ontology-based semantic mapping to solve the semantic unification and adopts WebService and ETL techniques to sustain multi-pattern interactive approach, in order to agilely make applications integrated with the M2M platform. Now, the M2M Middleware has been applied in the China Telecom M2M platform. The operation results show that applications will cost less time and workload when being integrated with M2M platform.

• Korean Journal of Remote Sensing
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• v.8 no.2
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• pp.105-123
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• 1992

A study was made on the feature extraction for non-metallic one deposits and their related geology using the Remote Sensing and Airborne Radiometric data. The area chosen is around the Haenam area, where dickite and Quarzite mines are distributed in. The geology of the area consists mainly of Cretaceous volcanics and PreCambrian metamorphic. The methods applied are study on the reflectance characteristics of minerals and rocks sampled in the study area, and the feature extraction extraction of histogram normalized images for Landsat TM and Airborne Radiometric data, and finally evaluation of applicability of some useful pattern recognition techniques for regional lithological mapping. As a result, reflectances of non-metallic minerals are much higher than rock samples in the area. However, low grade dickites are slightly higher than rock samples, probably due to their greyish colour and also their textural features which may scatter the reflectance and may be capable of capturing much hychoryl ions. The reflectances of rock samples may depend on the degree of whiteness of samples. The outcrops or mine dumps in the study area were most effectively extracted on the histogram normalized image of TM Band 1, 2 and 3, due to their high reflectivity. The Masking technique using the above bands may be the most effective and the natural colour composite may provide some success as well. The colour composite image of PCA may also be effective in extracting geological features, and airborne radiometric data may be useful to some degree as an complementary tool.

• The Journal of Korean Physical Therapy
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• v.31 no.3
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• pp.157-160
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• 2019

Purpose: We compared the activation pattern of the mirror neurons (MN) between two types of hand movement according to action observation using functional MRI. Methods: Twelve right-handed healthy subjects (5 male and 7 female, mean age $21.92{\pm}2.02years$) participated in the experiment. During fMRI scanning, subjects underwent two different stimuli on the screen: 1) video clips showing repeated grasping and releasing of the ball via simple hand movement (SHM), and (2) video clips showing an actor performing a Purdue Pegboard test via complex hand movement (CHM). paired t-test in statistical parametric mapping (SPM) was used to compare the activation differences between the two types of hand movement. Results: CHM as compared with the SHM produced a higher blood oxygen level dependent (BOLD) signal response in the right superior frontal gyrus, left inferior and superior parietal lobules, and lingual gyrus. However, no greater BOLD signal response was found by SHM compared with CHM (FWE corrected, p<0.05). Conclusion: Our findings provided that the activation patterns for observation of SHM and CHM are different. CHM also elicited boarder or stronger activations in the brain, including inferior parietal lobule called the MN region.

• Smart Media Journal
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• v.8 no.3
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• pp.31-40
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• 2019

To understand how a Convolutional Neural Network (CNN) model captures the features of a pattern to determine which class it belongs to, in this paper, we use Gradient-weighted Class Activation Mapping (Grad-CAM) to visualize and analyze how well a CNN model behave on the CNU weeds dataset. We apply this technique to Resnet model and figure out which features this model captures to determine a specific class, what makes the model get a correct/wrong classification, and how those wrong label images can cause a negative effect to a CNN model during the training process. In the experiment, Grad-CAM highlights the important regions of weeds, depending on the patterns learned by Resnet, such as the lobe and limb on 미국가막사리, or the entire leaf surface on 단풍잎돼지풀. Besides, Grad-CAM points out a CNN model can localize the object even though it is trained only for the classification problem.

• Journal of Fashion Business
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• v.23 no.2
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• pp.48-61
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• 2019

The objective of this study was to derive a list of creative thinking techniques applied with the requirements of the appropriate technique for the task of fashion design development among the process of fashion product planning. This was done through the analysis of thinking techniques by the type of thinking and idea method. Also, the study presented how each creative thinking technique derived is applied to the task of developing fashion design. The scope of the study was 'Fashion Design Development Task', which corresponds to the design sketch of a fashion item based on the seasonal design concept derived through the fashion design planning stage. Research on the thinking techniques consisted largely of the process of idea thinking, the elements of creative thinking, the patterns and types of thinking. Four studies by Makoto, Michalko, De Bono, and Cox suggesting that the patterns and types of thinking techniques were analyzed for the purpose of this study as empirical studies through FGI of a group of five fashion experts. The analysis results showed that the thinking techniques suitable for the development of fashion design were derived from the technique of fractionation, attributive listing, scamper, morphological analysis, mind mapping, lotus blossom, pattern language, provocative operation, and forced connection. In particular, it can be confirmed that the scamper was treated as an efficient and practical technique in the many studies.