• Annual Conference of KIPS
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• 2013.05a
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• pp.1085-1088
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• 2013

현대는 가정의 경제적 어려움이 많은 사회적 배려계층의 아동이 증가되고 있다. 이 계층의 아동들은 일반계층의 아동들보다 자기효능감과 자아존중감이 낮다. 본 연구는 스크래치 프로그래밍을 이용하여 STEAM기반 창의체험 프로그램을 진행하였다. 초등학교 3, 4학년이 쉽게 접근할 수 있는 스크래치와 아동들이 흥미를 가질 수 있는 기술들을 적용하여, 자기효능감이 일반 학생들보다 낮은 사회적 배려계층 학생들의 자기효능감의 변화를 분석하였다. 본 연구에서는 자기효능감을 키워줌으로써, 스스로 해결할 수 있는 능력과 자아를 존중하게 생각하는 자아존중감의 변화도 측정하여 분석하였다. 본 연구의 결과 센서와 연동시키는 스크래치 프로그래밍 학습을 통해 창의적인 사고력과 논리력의 향상뿐만 아니라, 자기효능감과 자아존중감의 변화에 긍정적인 효과가 있는 것을 알 수 있었다.

• Journal of Broadcast Engineering
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• v.27 no.6
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• pp.944-947
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• 2022

Due to the coronavirus pandemic, the wearing of a mask has been increasing worldwide; thus, the importance of image analysis on masked face images has become essential. Although head pose estimation can be applied to various face-related applications including driver attention, face frontalization, and gaze detection, few studies have been conducted to address the performance degradation caused by masked faces. This study proposes a new data augmentation that synthesizes the masked face, depending on the face image size and poses, which shows robust performance on BIWI benchmark dataset regardless of mask-wearing. Since the proposed scheme is not limited to the specific model, it can be utilized in various head pose estimation models.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06a
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• pp.161-164
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• 1998

본 논문은 이동성 추정기를 이용하여 수신체의 이동성 정도 또는 채널의 변화 정도를 추정해 냄으로써 채널 추정에 사용하는 OFDM 심볼의 개수를 결정하여 최적의 채널 추정을 수행하는 알고리즘을 제안하고, 성능 분석을 보여준다. OFDM 시스템의 채널 보상에 다수의 심볼을 사용하면 고정된 수신체에서 우수한 성능을 나타내지만 시간 변화적인 다중 경로환경에서는 오히려 출력 SNR 성능을 저하시킨다. 제안된 이동성 추정기를 이용한 채널 추정 알고리즘은 고정 수신체 및 고속의 이동체 뿐만 아니라 복잡하고 변화 무쌍한 다중 경로 페이딩 채널 환경에 강인한 특성을 나타낸다는 것을 전산 모의 실험을 통하여 확인하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.65-72
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• 2020

The purpose of this descriptive research study was to identify the effects on job satisfaction of nurses working at comprehensive nursing care service units. The study was conducted in five hospitals, two of 250 beds or more in three cities and three of 800 beds. The study subjects were nurses working at comprehensive nursing care service units. A structured questionnaire of 150 questions was distributed to them and 146 were collected. The data collection period was from August 1, 2019 to November 15, 2019. The collected data were analyzed using the SPSS 22.0 program, using x²-test, t-test, ANOVA, Pearson correlation, and multiple linear regression. Emotional labor and toughness were negatively correlated (r=-.20, p=.018), and emotional labor and job satisfaction were positively correlated (r=.25, p=.004). The predictive variables affecting the job satisfaction of the subjects were the aptitude of the ward service (β=-.35, p=<.001) and hardness(β=.21, p=.009). The explanation of job satisfaction in the variables was 18.2% (F=3.54, p=.009). The study results revealed that the predictive variables affecting job satisfaction were the hardiness and aptitude of the ward service. Therefore, in order to increase the job satisfaction of ward nurses, it is necessary to provide administrative support to control the hardiness of the nurse and to allocate manpower in consideration of the aptitude in the hospital personnel system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.10
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• pp.887-895
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• 2014

Drowsy driving is a large proportion of the total car accidents. For this reason, drowsiness detection and warning system for drivers has recently become a very important issue. Monitoring physiological signals provides the possibility of detecting features of drowsiness and fatigue of drivers. Many researches have been published that to measure electroencephalogram(EEG) signals is the effective way in order to be aware of fatigue and drowsiness of drivers. The aim of this study is to extract drowsiness-related features from a set of EEG signals and to classify the features into three states: alertness, transition, and drowsiness. This paper proposes a drowsiness detection system using errors-in-variables(EIV) for extraction of feature vectors and multilayer perceptron (MLP) for classification. The proposed method evaluates robustness for noise and compares to the previous one using linear predictive coding (LPC) combined with MLP. From evaluation results, we conclude that the proposed scheme outperforms the previous one in the low signal-to-noise ratio regime.

• Journal of the Earthquake Engineering Society of Korea
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• v.6 no.6
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• pp.41-48
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• 2002

This study is on the structural control experiment for a small scale three-story building structure employing on active mass damper subjected to earthquake loading. $\mu$-synthesis controllers, which belong to robust control strategies, were designed and their performance were experimentally verified. Frequency-dependent weighting functions corresponding to disturbance input and controlled output were defined and combined to produce optimal $\mu$-synthesis controllers. The experiment result shows 60-70% reduction in RMS responses under the band-limited white noise excitation and 30-45% reduction in peak responses under the scaled earthquake excitations. Good agreement was obtained between the simulations based on the identified mathematical model and experimental results. And the simulations for the system with uncertainties show that the designed controllers are robust within a specified range of uncertainties.

• Journal of KIISE:Software and Applications
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• v.29 no.8
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• pp.573-583
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• 2002

Pattern recognition process is made up of the feature extraction in the pre-processing, the pattern clustering by training and the recognition process. This paper presents the F-LVQ (Fuzzy Learning Vector Quantization) pattern classification model which is optimized by the fuzzy membership function for the OCR(Optical Character Recognition) system. We trained 220 numeric patterns of 22 Hangul and English fonts and tested 4840 patterns whose forms are changed variously. As a result of this experiment, it is proved that the proposed model is more effective and robust than other typical LVQ models.

• The Transactions of the Korean Institute of Power Electronics
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• v.11 no.2
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• pp.104-112
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• 2006

SFC(Static Frequence Converter)system has come to be used as drive large synchronous machine in many industry applications. Many papers have been presented on the control algorithm of SFC system, not the acceleration and start-up but the rated speed operation with line connection and the braking operation with regeneration which is used in the industry. Among this, this paper presents the regeneration breaking control algorithm for a large synchronous machine using SFC system. The results of experiment show that the proposed algorithm is proper and effective.

• Journal of Internet Computing and Services
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• v.11 no.2
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• pp.99-107
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• 2010

In this paper a blind watermarking algorithm for digital image is presented. The proposed method operates in wavelet domain. The watermark is decomposed into 2D-IMFs using BEMD which is the 2-dimensional extension of 1 dimensional empirical mode decomposition. The CDMA based on SS technique is applied to watermark embedding and detection process. In the watermark embedding process, each IMF of watermark is embedded into middle frequency subimages in wavelet domain, so subimages just include partial information about embedded watermark. By characteristics of BEMD, when the partial information of watermark is synthesized, the original watermark is reconstructed. The experimental results show that the proposed watermarking algorithm is imperceptible and moreover is robust against JPEG compression, common image processing distortions.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.4C
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• pp.380-387
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• 2009

In this paper, optical image encryption using integral imaging and pixel-scrambling technologies is proposed. In the encryption process, we use pixel scrambling to change the order of subsections into which the cover image is divided, and the utilize the integral imaging scheme to obtain the elemental image from the scrambled image. In order to achieve higher security, we reuse pixel scrambling to the elemental image. In the decryption process, we employ optical integral imaging reconstruction technique and inverse pixel scrambling methode. Computer simulation results prove the feasibility of the proposed method and robustness against data loss and noise.