• Journal of the Korean Society of Hazard Mitigation
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• v.11 no.1
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• pp.107-112
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• 2011

In this study, photocatalytic degradation and mineralization of bisphenol A (BPA), which has been listed as one of endocrine disruptors, were carried out in the CPC system using $Tio_2$ slurry and UVA irradiation. The degradation efficiency has been investigated under the controlled parameters including initial concentration (5, 10, 20 mg/L), dosage of $Tio_2$ (0.1, 0.5, 1.0 g/L), UVA power (0, 80, 120 W) and temperature (0, 20, 30). At 10mg/L of initial concentration, BPA was degraded above 80% after 10min, BPA were degraded 97% and 49% at 20 mg/L and 30 mg/L, respectively. At $Tio_2$ dosage was 0.1 and 0.5 g/L, the degradations of BPA showed similar trend and were about 70% after 1 hr, and the degradation of BPA was above 80% after 30 min at 1 g/L of $Tio_2$ dosage. The increase of degradation seem to be due to the increase in the total surface area, namely number of active sites, available for the photocatalytic reaction as the dosage of photocatalyst increased. When the UVA power was 120 W, BPA was degraded rapidly above 60% after 10min of reaction time. To investigate the effect of temperature, carried out experiment controlled temperature, there were no significant differences depending on the temperature. After 1hr, the degradation of BPA were 46%, 67%, and 69% at 10, 20 and $30^{\circ}C$.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.37 no.8
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• pp.789-798
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• 2013

The procedures and relevant programs developed for analyzing mechanical load data of wind turbine generator systems, which are obtained through type certification tests, are verified. The following issues according to IEC 61400-13 are covered in the developed programs: data validation, time series analysis, summary load statistics, generation of fatigue load spectra, and estimation of equivalent loads. A capture matrix for normal power production is generated to determine whether the collected data sets are sufficient to carry out fatigue analysis. Fatigue load spectra are obtained through the rainflow counting method using 50 load ranges; finally, equivalent loads are calculated using different S-N curve slopes, m, according to the relevant materials. Case studies are performed using aero-elastic simulation data of the NREL 5 MW baseline wind turbine with a monopile foundation.

• Journal of KIISE
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• v.41 no.12
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• pp.1050-1057
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• 2014

Electroencephalogram (EEG)-based brain-computer interfaces (BCI) can be used for a number of purposes in a variety of industries, such as to replace body parts like hands and feet or to improve user convenience. In this paper, we propose a method to decompose and extract motor imagery EEG signal using Empirical Mode Decomposition (EMD) and Fast Fourier Transforms (FFT). The EEG signal classification consists of the following three steps. First, during signal decomposition, the EMD is used to generate Intrinsic Mode Functions (IMFs) from the EEG signal. Then during feature extraction, the power spectral density (PSD) is used to identify the frequency band of the IMFs generated. The FFT is used to extract the features for motor imagery from an IMF that includes mu rhythm. Finally, during classification, the Support Vector Machine (SVM) is used to classify the features of the motor imagery EEG signal. 10-fold cross-validation was then used to estimate the generalization capability of the given classifier., and the results show that the proposed method has an accuracy of 84.50% which is higher than that of other methods.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.48 no.4
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• pp.24-31
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• 2011

A high data rate Medical Implant Communications Service (MICS) transmitter for implantable medical devices (IMD) is proposed. An orthogonal frequency division multiplexing (OFDM)-based multicarrier scheme is used to overcome the data rate limitation caused by the narrow bandwidth of 300 kHz. The proposed transmitter utilizes multiple MICS channels simultaneously, supporting increased data rate. To satisfy the MICS regulation, various schemes are applied including optimized subcarrier allocation and inverse fast Fourier transform (IFFT) architecture, and additional sidelobe suppression technique. Simulation results show that the proposed transmitter can support a maximum data rate of 4.86 Mbps, which is more than ten times faster than the previous systems.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.46 no.2
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• pp.18-26
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• 2009

When channel state information (CSI) is available at the transmitter, the system throughput can be enhanced by adaptive transmissions and opportunistic multiuser scheduling. In this paper, we consider multiple-input multiple-output (MIMO) systems employing bit-interleaved coded orthogonal frequency division multiplexing (BIC-OFDM). We first propose a bit-loading algorithm based on the Levin-Campello algorithm for the BIC-OFDM. Then we will apply this algorithm to the MIMO system with a finite set of constellations, by reassigning residual power on each stream Simulation results show that proposed bit-loading scheme which takes the residual power into account improves the system performance especially at high signal-to-noise ratio (SNR) range.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.105-111
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• 2019

Core technologies that lead the Fourth Industrial Revolution era, such as artificial intelligence, big data, and autonomous driving, are implemented and serviced through the rapid development of computing power and hyper-connected networks based on the Internet of Things. In this paper, we implement two different models for drivable area segmentation in various environment, and propose a better model by comparing the results. The models for drivable area segmentation are using DeepLab V3+ and Mask R-CNN, which have great performances in the field of image segmentation and are used in many studies in autonomous driving technology. For driving information in various environment, we use BDD dataset which provides driving videos and images in various weather conditions and day&night time. The result of two different models shows that Mask R-CNN has higher performance with 68.33% IoU than DeepLab V3+ with 48.97% IoU. In addition, the result of visual inspection of drivable area segmentation on driving image, the accuracy of Mask R-CNN is 83% and DeepLab V3+ is 69%. It indicates Mask R-CNN is more efficient than DeepLab V3+ in drivable area segmentation.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.08a
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• pp.273-273
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• 2012

컷오프 진단법은 두 개의 탐침 형태로 제작된 마이크로 웨이브 진단법으로, 간단한 수식을 통해 전자밀도, 전자온도 등을 측정할 수 있다. 컷오프 탐침은 방사 안테나, 측정 안테나와 네트워크 분석기로 구성되어 있다. 네트워크 분석기는 두 안테나 사이의 플라즈마 투과 스펙트럼을 만드는데 쓰이며, 스펙트럼 분석을 통해 플라즈마 변수들을 측정할 수 있다. 이 진단법은 장치나 분석방법이 매우 간단한 장점을 지니며, 약 1 mW 정도의 적은 파워를 사용하여 플라즈마 상태를 거의 변화시키지 않는 측정이 가능하다. 또한 CF4와 같은 공정 가스를 이용한 플라즈마에서도 사용이 가능하다. 그러나 컷오프 진단법을 사용한 측정은 다른 종류의 진단법과 마찬가지로, 약 1초 정도의 긴 시간을 필요로 하는 단점이 있어, 펄스 플라즈마나 토카막과 같이 빠르게 변하는 플라즈마를 측정하기에는 무리가 있다. 최근에 개발된 푸리에 컷오프 탐침(Fourier Cutoff Probe, FCP)는 기존의 컷오프 탐침의 느린 시간분해능을 개선하기 위해 개발되었다. [1] 펄스 형태의 단일신호를 플라즈마를 투과하기 전후로 비교하면 투과 스펙트럼 및 플라즈마 변수들을 얻을 수 있으며, 기존 연구에서 구한 시간 분해능은 약 15 나노초였다. 이 값은 펄스 발생장치의 스펙에 따라 변하게 된다. 펄스폭이 짧을수록 시간분해능이 좋아지지만, 무한정 좋아질 수는 없다. 이 논문에서는 FCP 측정의 시간 분해능을 이론적으로 구하고, 시간 분해능의 이론적 한계를 구했다.

• Proceedings of the KIPE Conference
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• 2019.11a
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• pp.46-48
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• 2019

본 논문은 Discontinuous Conduction Mode(DCM) 플라이백 컨버터로 생성한 고전압 펄스를 스파크 갭으로 펄스 상승 시간을 줄이는 방법에 관하여 다룬다. 이러한 방법으로 생성된 빠른 상승률 특성을 가지는 고전압 펄스 전원장치는 친환경 가스 처리 분야에 사용할 수 있다. 기존 스태킹 구조의 펄스 전원 장치는 많은 수의 스위치들과 에너지 저장 소자가 필요하므로 부피가 커지고 제조 단가가 증가하는 반면, 분 논문에 제안된 전원 장치는 구조를 단순화하여 전체 시스템의 소형화 및 제조 단가를 낮춘 점을 특징으로 한다. 제안된 설계 토폴로지는 플라이백 변압기 2차 측에 다이오드의 사용 유무에 따라 두 개의 변형된 회로로 응용 가능 하다. 변압기 2차측에 다이오드를 사용하면, 음의 성분 없이 깨끗한 고전압 출력 펄스를 만들 수 있지만 사용한 다이오드의 전압 정격을 고려해야 한다. 다이오드를 사용하지 않는다면, 고전압 출력 펄스에 음의 성분이 발생하지만 비용과 부피를 최대한 줄일 수 있다. PSIM 시뮬레이션을 사용하여 제안하는 전원 장치의 23kV, 0.5 ㎲, 10 ns rising time의 출력 펄스 발생 성능을 검증하고, 다이오드 사용에 따른 출력 펄스의 차이점을 비교하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.5A
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• pp.339-347
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• 2012

Femtocells as home base station for indoor coverage extension and wideband data service, have been studied with significant interests. When femtocell is deployed, the existing cell structural of changes causes various technical problems. In this paper, we investigate the femto-macro cell interference mitigation in OFDMA system. We propose dynamic downlink resource management scheme which adjust the transmitted power of femtocell according to the strength of received macrocell signal and allocates subcarrier to femtocells in a dynamic manner. In this way, the interference between the macrocell users and femtocells is reduced. The simulation results show that proposed scheme enhances both macrocell and femtocell throughputs.

• The KIPS Transactions:PartC
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• v.10C no.4
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• pp.485-492
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• 2003

This paper presents a new modified input buffered switch, which called a grouped input buffered (GIB) switch, to eliminate the influence of HOL blocking when using multiple input buffers in ATM switches. The GIB switch consists of grouped sub switches per a network stage. The switch gives extra paths and buffered switching elements between groups for transferring the blocked cells. As the result, the proposed model can reduce the effect by the HOL blocking and thereafter it enhances the performance of the switch. The simulation results show that the proposed scheme has good performance in comparison with previous works by using the parameters such as throughput, cell loss, delay and system power.