• Transactions of the Korean Society of Automotive Engineers
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• v.13 no.6
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• pp.135-141
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• 2005

Currently many safety assessment tests are conducted by crashing a vehicle against a rigid or deformable barrier. It is quite rational to evaluate crash performance of a vehicle in a barrier test in terms of vehicle stiffness and strength. However, there has been a lot of debate on whether barrier testing is a duplicate of real world crash collisions. One of the issues is car to car compatability. There are two essential subjects in compatability. One is partner-protection when crashing into another vehicle and the other is self-protection when struck by another vehicle. When considering a car to car frontal crash between a mini car and a large heavy car, it is necessary to evaluate human body stiffness of each vehicle. In this study, in order to evaluate the compatability of cars in car-to-car crashes, four tests were conducted. Test speed of each car is 48.3km/h, and the overlap of the mini and large car is $40\%$, and the overlap of the small cars is $100\%$. In all tests, only a drive dummy is used. The test results of the car to car crash test show that vehicle safety standard of mini car is not satisfied compared with large heavy car and HIC value of mini car is higher than large car. In this case observed that the relatively lower stiffness and weight of the mini car resulted in absorbing a large share of the total input energy of the system when crashed into the large heavy car.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.5
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• pp.1017-1022
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• 2018

In this paper, a single house fire alarm device, which can solve the problem of fire perception at midnight time and the attenuation of alarm signal due to the wall between rooms based on the wireless communication, was developed. The radio controlled fire alarm device was designed to allow fire to be recognized quickly and accurately by monitoring the temperature and $CO_2$ concentration based on the temperature sensor and gas sensor, by detecting the fire in the house and by transmitting the fire alarm to the individual wireless alarms of other rooms using the wireless transmission/reception module. Using the Arduino as a main control device, three independent fire alarm device prototypes were made, and their usefulness was verified by the correct operations in temperature and gas tests.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.4
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• pp.617-623
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• 2018

In this paper, we propose a novel seamless video composition method based on shape matching and Poisson equation. Video composition method consists of video segmentation process and video blending process. In the video segmentation process, the user first sets a trimap for the first frame, and then performs a grab-cut algorithm. Next, considering that the performance of video segmentation may be reduced if the color, brightness and texture of the object and the background are similar, the object region segmented in the current frame is corrected through shape matching between the objects of the current frame and the previous frame. In the video blending process, the object of source video and the background of target video are blended seamlessly using Poisson equation, and the object is located according to the movement path set by the user. Simulation results show that the proposed method has better performance not only in the naturalness of the composite video but also in computational time.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2313-2315
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• 2003

This paper presents the development methods which Samsung GPS baseband chip is called S3E4510X. Specification of S3E4510X and design methodology of baseband architecture is presented with a study of their effects. Also GPS core block and software are described in detail. We designed and implemented the test board with RF module for evaluating performance via static test dynamic test and each performance factors using live signal and CPS simulator. Test results show that our development GPS baseband chip have effectively performance for mobile handset Location Based Service (LBS) and its practical use for navigation.

• Journal of Korean Society for Quality Management
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• v.44 no.1
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• pp.95-108
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• 2016

Purpose: This study aims to investigate the effect of product creativity on the financial performance of new product in the food industry. In addition, the applicability of creative thinking method for the development of creative new food product is examined. Methods: In this study, OPA(Originality-Practicality Analysis) method is applied to evaluate the creativity of 32 new food products of 'H' food company in Korea. Effects of product creativity on the financial performance are analyzed using t-test and logistic regression analysis. In order to examine the applicability of SIT(Systematic Inventive Thinking) for the new product development process, each subject are classified according to five SIT tools. Results: The product group belongs to creative area(CA) shows the highest financial performance among the quadrants of OPA matrix. The products are divided into two groups whether the product can be classified by SIT tools or not. The products belonged to SIT group show higher creativity than non-SIT group. Conclusion: From the result, it can be concluded that product creativity has effect on the financial performance of the new food products, and SIT can be used as a powerful tool in developing creative new food products.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.116-116
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• 2012

하천유역 내의 인자를 이용하여 댐의 하천유량(stream flow)을 예측하는 일은 수문특성의 연구와 자연재해에 대한 대비 및 수공구조물과 방재시설의 설계 시 중요한 역할을 한다. 이러한 연구는 과거부터 활발히 이루어졌으며, 아직도 보다 높은 정확도의 결과를 얻기 위해 많은 연구들이 이루어지고 있다. 특히 기존의 유역 내 자료를 통해 비선형적 모델인 인공신경망(artificial neural network)을 이용한 하천유량을 예측하는 연구 역시 활발히 이루어지고 있다. 본 연구의 목적은 여러 유역인자들 중 하천유량에 가장 영향을 미치는 변수를 추출하고 보다 정확한 예측모델을 구축하는 것이다. 기존의 입력자료 선정기법중의 하나인 상호정보량(mutual information)과 수문기상자료의 비선형 동역학적 성분을 추출하는 웨이블렛 변환(wavelet transform)을 사용하여 인공신경망에 적용시켰다. 인공신경망을 적용하는 경우, 수문자료에 있어서 변수의 선택과 자료의 상태가 강우예측의 결과에 큰 영향을 미친다. 이러한 변수의 선택에 있어서 상호정보량을 바탕으로 한 인공신경망 입력변수 선택기법이 많이 사용되고 있다. 일반적으로 시계열자료는 경향성(trend), 주기성(periodicity) 및 추계학적 성분(stochastic component)의 선형조합으로 가정될 수 있으며, 특히 경향성과 주기성은 시계열 모형을 위해 제거되어야 할 결정론적 성분으로 취급한다. 즉. 수문 기상자료에 포함되어 있는 경향성과 주기성과 같은 비선형 동역학적 잡음(nonlinear dynamical noise)을 제거하고 입력자료의 카오스적 거동을 보이는 성분을 분리하기 위해 웨이블렛 변환을 사용하였다. 대상유역은 한강 유역에 포함되어 있는 충주댐으로 선택하였다. 유역 내 다양한 인자들과 하천유량사이의 상호정보량을 구해 영향력이 가장 큰 변수를 추출하고, 그 자료를 웨이블렛 변환을 적용하여 인공신경망의 입력자료로 사용하였다. 본 논문에서는 위와 같은 과정을 이용해 추정한 하천유량 결과와 기존의 방법인 상호정보량을 이용해 인공신경망을 적용한 결과를 실제자료와 비교하였다.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.132.1-132.1
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• 2013

현재 고품위GaN 박막 성장은 사파이어 기판이 주로 사용되며, 사파이어 기판 상에 저온에서 질화물 완충층을 선성장한 후 고온에서 GaN 박막을 성장하는 2단계 공정법을 일반적으로 택하고 있다. 본 연구에서는 새롭게 주목받고 있는 신소재인 그래핀을 본 실험실에서 기개발한 확산이용형성법을 이용하여 사파이어 기판에 직접 코팅하여 이를 완충층으로 사용한 후, MOCVD를 이용하여 저온 완충 층의 성장없이 고온에서 직접 성장한 GaN 박막에 관한 연구를 진행하였다. 매우 얇은 두께인 ~0.6 nm의 그래핀을 완충층으로 도입함으로써 GaN의 성장모드가 3차원 모드에서 2차원 모드로 바뀜을 확인 할 수 있었고, 그래핀 완충층의 두께가 점점 두꺼워짐에 따라 고온 성장한 GaN 박막의 구조적, 광학적 특성이 향상되어 기존의 2단계 성장법으로 얻은GaN 박막의 특성에 비견할 만큼 향상됨을 확인할 수 있었다. 그래핀상에 성장한 GaN 박막과 2단계 성장법으로 성장한 GaN 박막 상에 동일한 InGaN/GaN 다중양자우물구조를 형성하여 유사한 내부양자효율을 얻을 수 있게 되어, 그래핀을 완충 층으로 한 GaN 박막의 광전 소자에의 응용가능성을 확인 할 수 있었다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2806-2820
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• 2014

This study investigated the mediating role that subordinates' job satisfaction might play in influencing the relationships between abusive supervision and subordinates' organizational identification and workplace deviance behavior(WDB-O). With data gathered from employees(N=281) representing a wide array of organizations, structural equation modeling was used to test hypotheses. The results showed that abusive supervision is negatively related to job satisfaction and consequently organizational identification, positively associated with organizational deviance behavior through job satisfaction indirectly and has a direct effect on WDB-O.

• Journal of the Korea Society of Computer and Information
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• v.20 no.1
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• pp.21-28
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• 2015

Feature normalization as a pre-processing step has been widely used to reduce the effect of different scale in each feature dimension and error rate in classification. Most of the existing normalization methods, however, do not use the class labels of data points and, as a result, do not guarantee the optimality of normalization in classification aspect. A supervised rank normalization method, combination of rank normalization and supervised learning technique, was proposed and demonstrated better result than others. In this paper, another technique, training sample selection, is introduced in supervised feature normalization to reduce classification error more. Training sample selection is a common technique for increasing classification accuracy by removing noisy samples and can be applied in supervised normalization method. Two sample selection measures based on the classes of neighboring samples and the distance to neighboring samples were proposed and both of them showed better results than previous supervised rank normalization method.

• Physical Therapy Rehabilitation Science
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• v.10 no.3
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• pp.311-319
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• 2021

Objective: To investigate the effect of emphasized initial contact by using a wearable air-pressure insole to provide auditory-feedback with variations of maximum peak pressure (MPP) of the affected side on spatiotemporal gait parameters and gait symmetry of stroke patients Design: A cross-sectional study Methods: Eighteen stroke patients participated in this study. All subjects walked five trials using an air-pressure insole that provides auditory feedback with different thresholds set on the insole. First, subjects walked without any auditory feedback. Then, the MPP threshold on the affected side was set from 70% and increase threshold by 10% after each trial until 100%. They walked three times or more on the gait analyzer for each trial, and the average values were measured. Before starting the experiment, subjects measured body weight, initial gait abilities and affected side MPP without auditory feedback. Results: Temporal and spatial variables were significantly increased in trials with auditory feedback from air-pressure insole except for non-paralyzed single support time and spatial gait symmetry compared to trials without auditory feedback(p<0.05). Among the four different thresholds, the walking speed, unaffected side single support time, affected and unaffected side stride, and affected side step length were greatest at 80% threshold of maximum peak, while affected single support time, temporal gait symmetry, and unaffected step length were greatest at the maximum peak of 100% threshold. Conclusions: These results indicate that auditory feedback gait using air-pressure insoles can be an effective way to improve walking speed, single support time, step length, stride, and temporal gait symmetry in stroke patients.