• Electric Engineers Magazine
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• v.184 no.12
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• pp.41-46
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• 1997

본 시스템은 전기사용상태에서 컴퓨터를 통하여 변압기를 상시 감시할 수 있는 진단방법으로 절연유열화센서를 이용한 열화측정용 진단시스템으로서 절연유속에 절연유열화센서를 설치하고 DC2kV 전압을 센서 양단에 인가한 후 누설전류를 nA단위로 측정하고 현재온도 상태를 측정하여 이 신호를 진단장치에서 A/D변환, 증폭, 제어하여 컴퓨터로 전송함으로써 파형감시, 데이터저장, 분석, 진단결과 분석기록표 출력 등이 가능하며 이 데이터를 이용하여 절연유의 열화정도를 예측하거나 판정할 수 있다.

• Proceedings of the KAIS Fall Conference
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• 2011.12b
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• pp.485-487
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• 2011

본 논문에서는 인간의 근력을 보조 또는 증폭시켜 줄 수 있는 유압 구동식 외골격 로봇을 개발하였다. 인간 신체 데이터와 보행 분석 데이터를 기반으로 로봇의 외골격을 설계 하였으며, 이를 구동하기 위한 알고리즘, 제어기 H/W 등을 개발하였다. 근력지원 외골격 로봇을 설계 제작하여, 실제 실험을 통해 설계, 제어 등 로봇의 현장 적용 가능성 등을 판단할 수 있는 플랫폼을 가질 수 있었다.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.3
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• pp.135-142
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• 2017

DDoS (Distributed Denial of Service) exhausts the target server's resources using the large number of zombie pc, As a result normal users don't access to server. DDoS Attacks steadly increase by many attacker, and almost target of the attack is critical system such as IT Service Provider, Government Agency, Financial Institution. In this paper, We will introduce the CNN (Convolutional Neural Network) of deep learning based real-time detection system for DNS amplification Attack (DNS DDoS Attack). We use the dataset which is mixed with collected data in the real environment in order to overcome existing research limits that use only the data collected in the experiment environment. Also, we build a deep learning model based on Convolutional Neural Network (CNN) that is used in pattern recognition.

• Journal of IKEEE
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• v.18 no.1
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• pp.134-139
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• 2014

According to survey, more than 57.2% of the fall which is the most frequent safety accident of the elders takes place at home. This research aims to verify the fall by measuring and analyzing the floor vibration. And the vibration sensor module was designed with piezo film sensor and operation amplifier. The vibration signals are converted to digital signals through the data acquisition device and vibration sensor module. And then modified the signals into frequency domain to obtain characteristic vibration data. The characteristic signals are verified by K-Nearest Neighbor verification, and experimental results shows the recognition rate 93.6%. Also the fall detection sensor module is useful for extract the meaningful data for fall detection. 10 persons are participated for this experiment.

• Journal of the Korean Geotechnical Society
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• v.28 no.3
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• pp.35-43
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• 2012

Following the companion paper (I. Comparisons with Well-known Seismic Code and Site Response Characteristics), several acceleration data recorded during recent earthquake events in Korea were analyzed to verify the suitability of the proposed two-parameters site classification system and the corresponding site coefficients. For all of rock-soil site pairs less than 30 km distant, response spectrums and corresponding site coefficients, $F_a$ and $F_v$, were determined. Unfortunately, some of data have an eccentric error, where the spectral acceleration of rock site is more amplified than that of soil site. The $F_a$ and $F_v$ for all of pairs except the pairs of error were compared with those in the current code and the proposed system. The $F_a$ and $F_v$ from the recorded motions show definitely different trend from that of the current code. In addition, the site coefficients from recorded motions at four 765 kV substation sites, which are several hundred meters distant, have a remarkably similar trend and absolute values to those in proposed two-parameters site classification system. Based on earthquake motions recorded in domestic areas including data from the four 765 kV substation sites, the two-parameters site classification and site coefficients are superior to the results obtained from the current Korean seismic code.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.1
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• pp.27-33
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• 2013

In this paper, we propose a pilot based channel estimation technique in two-way relay networks. We propose to transmit a pilot symbol together with the data symbol during transmission. In absence of Channel State Information (CSI), destination uses the pilot symbol to estimate the channel. In this system, the relay amplifies the pilot and the data symbol then forward them to the destination using amplify and forward (AF) protocol. We assume that the relay gain is fixed, so the relay does not need to estimate the channel, the destination only estimate the channel. We apply well-known Least-square (LS) and minimum mean-square error (MMSE) channel estimation methods to estimate the channel.

• Journal of IKEEE
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• v.19 no.3
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• pp.371-377
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• 2015

This paper is about the RF transceiver designed and implementation for common data link. The trasmitter is configured as a frequency up-converter, a power amplifier and a duplexer. The receiver is configured as a duplxer, a frequency down-converter and a low noise amplifier. The maximum transmission distance, the reception sensitivity is designed to meet the electrical and temperature characteristics and the like. Using a modeling and simulation in order to meet the requirements of the RF transceiver has been designed and implemented. Transmitting output power and Noise Figure has been measured with 38.58dBm and 5.5dB, respectively. All of the electrical and temperature specifications was meet. Was confirmed all of the requirement specification by electrical characteristics test and temperature characteristics test.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.26 no.11
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• pp.978-984
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• 2015

In this paper, we designed a RF transceiver operating up to 200 km operating range and 45 Mbps data rate. The RF transceiver operates in Ku band and composed of up/down converter, high power amplifier, front-end elements. To satisfy the operating range of RF transceiver, 10W power amplifier was required and realized by using GaN power amplifier. Moreover, to mitigate mutual interference for different bandwidth signals due to the adaptive transmission speed control function, SAW filter bank structure was used. To verify system requirement satisfaction AWR simulation tool was used.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3642-3646
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• 2012

In this paper, the bandwidth of the filters used in optical communication systems and systems for the correlation between the error probability has been studied. Preamplifier that occurs in the system error probability as a function of the sensitivity of the receiver on the receiver sensitivity was shown for the various error probability calculation is performed. In addition, the channel data rate on the probability of various errors, changes in the function of the optimal bandwidth for the receiver filter was calculated, as required to operate at optimal range of the filter bandwidth, data rate per channel in a 10Gb/s the range of when is between 0.2 and 3.5nm.

• Journal of the Korea Society of Computer and Information
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• v.26 no.4
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• pp.21-28
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• 2021

This study proposes a deep learning-based flat foot classification methodology using transfer learning. We used a transfer learning with VGG16 pre-trained model and a data augmentation technique to generate a model with high predictive accuracy from a total of 176 image data consisting of 88 flat feet and 88 normal feet. To evaluate the performance of the proposed model, we performed an experiment comparing the prediction accuracy of the basic CNN-based model and the prediction model derived through the proposed methodology. In the case of the basic CNN model, the training accuracy was 77.27%, the validation accuracy was 61.36%, and the test accuracy was 59.09%. Meanwhile, in the case of our proposed model, the training accuracy was 94.32%, the validation accuracy was 86.36%, and the test accuracy was 84.09%, indicating that the accuracy of our model was significantly higher than that of the basic CNN model.