The Electrical Properties of Single-silicon TFT Structure with Symmetric Dual-Gate for kink effect suppression

이덕진,강이구,Lee, Deok-Jin,Kang, Ey-Goo Korea Computer Institute Society 2005 컴퓨터産業敎育學會論文誌 Vol.6 No.5

In this paper, we have simulated a Symmetric Dual-gate Single-Si TFT which has three split floating n+ zones. This structure reduces the kink-effect drastically and improves the on-current. Due to the separated floating n+ zones, the transistor channel region is split into four zones with different lengths defined by a floating n+ region, This structure allows an effective reduction of the kink-effect depending on the length of two sub-channels. The on-current of the proposed dual-gate structure is 0.9mA while that of the conventional dual-gate structure is 0.5mA at a 12V drain voltage and a 7V gate voltage. This result shows a 80% enhancement in on-current. Moreover we observed the reduction of electric field in the channel region compared to conventional single-gate TFT and the reduction of the output conductance in the saturation region. In addition, we also confirmed the reduction of hole concentration in the channel region so that the kink-effect reduces effectively.

전력기기의 아크 플래시 진단 알고리즘에 관한 연구

이덕진,Lee, Deok-Jin 한국전기전자재료학회 2016 전기전자재료학회논문지 Vol.29 No.7

The amount of electrical energy has been increased with the rapid development of the industrial society. Accordingly, operating voltage of the power equipment and facility capacity are continuously increasing. Development trends of recent high-voltage electrical equipment are ultra high-voltage, large-capacity and compact. Early diagnosis of a failure of the power plant has been emerging as an important task as to supply high quality power to users. In this study, we have tried to develope an algorithm for distinguishing an arc fault signal generated in the power plant by using UV sensor.

K-means를 이용한 열화 형태의 패턴화에 관한 연구

이덕진,Lee, Deok-Jin 한국전기전자재료학회 2014 전기전자재료학회논문지 Vol.27 No.12

It has been confirmed that the inner defect of transformer and the perfect diagnosis for aging are closely related to safe electric power transmission system and that the detection of accident and diagnosis technique turn out to be very important issues. Since electric power machinery consists of various kinds of components, however, it is very difficult to make a diagnosis for aging by one parameter. Thus, diagnosis for aging is feasible only through the combination of various parameters. Recently, various expert systems have been developed and applied to diagnosis for aging, but they are not yet reliable enough to apply to the real system. In this paper, XLPE which is ultra high voltage cable insulator material were chosen to investigate the influence of void on insulator material using partial discharge. Obtained data have been processed by PRPD (phased resolved partial discharge) distribution function and K-means. And statistical and cluster distribution of partial discharge have been analysed and investigated.

단결정 실리콘 TFT Cell의 적용에 따른 SRAM 셀의 전기적 특성

이덕진,강이구,Lee, Deok-Jin,Kang, Ey-Goo 한국컴퓨터산업학회 2005 컴퓨터産業敎育學會論文誌 Vol.6 No.5

There have been great demands for higher density SRAM in all area of SRAM applications, such as mobile, network, cache, and embedded applications. Therefore, aggressive shrinkage of 6T Full CMOS SRAM had been continued as the technology advances, However, conventional 6T Full CMOS SRAM has a basic limitation in the cell size because it needs 6 transistors on a silicon substrate compared to 1 transistor in a DRAM cell. The typical cell area of 6T Full CMOS SRAM is $70{\sim}90F^{2}$, which is too large compared to $8{\sim}9F^{2}$ of DRAM cell. With 80nm design rule using 193nm ArF lithography, the maximum density is 72M bits at the most. Therefore, pseudo SRAM or 1T SRAM, whose memory cell is the same as DRAM cell, is being adopted for the solution of the high density SRAM applications more than 64M bits. However, the refresh time limits not only the maximum operation temperature but also nearly all critical electrical characteristics of the products such as stand_by current and random access time. In order to overcome both the size penalty of the conventional 6T Full CMOS SRAM cell and the poor characteristics of the TFT load cell, we have developed $S^{3}$ cell. The Load pMOS and the Pass nMOS on ILD have nearly single crystal silicon channel according to the TEM and electron diffraction pattern analysis. In this study, we present $S^{3}$ SRAM cell technology with 100nm design rule in further detail, including the process integration and the basic characteristics of stacked single crystal silicon TFT.

군집화 기법을 이용한 GIS 열화 패턴 연구

이덕진,Lee, Deok Jin 한국전기전자재료학회 2018 전기전자재료학회논문지 Vol.31 No.4

In recent years, increasing electricity use has led to considerable interest in green energy. In order to effectively supply, cut off, and operate an electric power system, many electric power facilities such as gas insulation switch (GIS), cable, and large substation facilities with higher densities are being developed to meet demand. However, because of the increased use of aging electric power facilities, safety problems are emerging. Electromagnetic wave and leakage current detection are mainly used as sensing methods to detect live-line partial discharges. Although electromagnetic sensors are excellent at providing an initial diagnosis and very reliable, it is difficult to precisely determine the fault point, while leakage current sensors require a connection to the ground line and are very vulnerable to line noise. The partial discharge characteristic in particular is accompanied by statistical irregularity, and it has been reported that proper statistical processing of data is very important. Therefore, in this paper, we present the results of analyzing ${\Phi}-q-n$ cluster distributions of partial discharge characteristics by using K-means clustering to develop an expert partial discharge diagnosis system generated in a GIS facility.

통계학적 추정 기법 기반 발사체 파편 지상낙하 영역 및 위치 계산을 위한 알고리듬 연구

이덕진(Deok-Jin Lee),김윤환(Yoon-Hwan Kim),박장성(Jang-Seong Park) 대한전자공학회 2020 전자공학회논문지 Vol.57 No.12

최근 발사체 폭팔로 생성되는 파편으로 지상 낙하로 인한 위험도 분석을 위해서 파편분포의 시간적 변화 예측 및 정밀한 파편의 지상 충돌지점 추정 기법에 대한 관심이 증대되고 있다. 본 논문에서는 발사체의 폭팔로 인해 생성될 수 있는 파편분포의 통계학적 모델링과 파편 분포의 시간에 따른 변화를 계산할 수 있는 기법을 제안하였고 이를 통해서 지상 낙하영역 및 낙하지점 추정을 통한 위험분석 기법을 제시하였다. 실제적인 발사체 시스템의 위험도 분석 기법 개발을 위해서 다단계 발사체구조를 갖는 Delta III 실제 모델을 활용하여 3차원 미션 궤적을 생성하였으며, 적용된 발사체 임무 프로파일을 활용하여 시점별 발생 가능한 발사체 폭파 시나리오 모델 제시를 통해 시뮬레이션 신뢰성을 증대시켰다. 폭팔로 인한 초기 파편분포 모델은 가우시안 분포 기반으로 통계적 공분산 공식을 활용하여 파편분포 계산을 위한 기법을 제시하였다. 파편분포의 시간 변화를 예측하기 위한 두 가지의 공분산 전파 알고리듬 적용하였다. 첫 번째로 통계적선형회기(Statistical Linear Regression)기법 중 하나인 무향변환(Unscented Transformation) 기법을 이용한 공분산 전파기법을 제시하였고, 제시된 기법의 성능을 검증하기 위하여 정밀한 공분산 전파 성능을 갖는 Gauss-Hermite Cubature 기법을 적용하여 성능 비교를 수행하였다. 발사체 파편낙하영역 및 낙하지점 추정 성능은 다양한 시뮬레이션을 통해서 체계적인 분석 및 검증 결과값을 제시하고자 하였다. The precise estimation of break-up dispersion distribution and location of the ground impact area from the explosion of a launch vehicle has received lots of attention from researchers. This paper proposes an efficient algorithm for estimating the accurate instant impact location by predicting a statistical model of the break-up dispersion due to an explosion. The dynamic model and parameters of the Delta III rocket are used to generate a realistic 3-dimensional trajectory while the mission profile of the rocket is used to set scenarios for the explosion events, thereby improving the reliability of simulation studies carried out in this work. Initial break-up distribution is modeled by using the statistical covariance of an instant incremental velocity at break-up event. Two computational algorithms are proposed for estimating the break-up dispersion as a function of time. The first one is an unscented transformation based covariance propagation which is based on statistical linear regression method. The next one is called the Gauss-Hermite cubature integration method which is utilized to compute the time variation of the break-up dispersion model. Various simulation studies verified the performance of the proposed approach.

강화학습 기반 자가학습 기법을 이용한 드론 자세제어 및 모션제어 연구

이덕진(Deok-Jin Lee),아미르(Amir R. Dooraki) 대한기계학회 2019 대한기계학회 춘추학술대회 Vol.2019 No.11

전계 시뮬레이션을 이용한 에폭시 복합체의 절연특성에 대한 연구

이덕진(Deok-Jin Lee) 한국컴퓨터정보학회 2021 韓國컴퓨터情報學會論文誌 Vol.26 No.2

본 논문에서는 전기 전자부품 및 기구의 절연재료로 널리 적용되고 있는 에폭시 복합재료의 절연 특성 및 신뢰도를 파악하고자 한다. 이를 위해 경제적, 기계적 요인에 의해 필수적으로 첨가되어야 하는 충진재의 분포에 따른 전계 변화를 예측하기 위하여 전계해석 시뮬레이터를 이용하여 그 결과를 확인하였다. 또한 직류 전압 인가 조건하에서 주변 온도 변화 및 충진재 분포에 따른 절연파괴시험을 수행하였고 그 변화를 관찰하였다. 시편은 에폭시 수지에 충진재를 0, 50, 100[phr] 첨가하여 3종류가 제작되었으며 모든 시편의 경우에서 온도가 증가함에 따라 절연파괴강도가 저하됨을 확인하였다. 시뮬레이션 결과 및 실제 절연강도시험 결과를 비교 고찰하여 전기 기구의 절연설계에 필요한 기술적 적용 가능성을 확인하였다. In this paper, we aimed to identify the insulation characteristics and reliability of Epoxy composites, which are widely used as insulation material for electrical & electronic components and electric appliance. To this end, it was necessary to predict variations of electric field due to the distribution of fillers that must be added by economic and mechanical factors. So, we verified the result using an electric field analysis Simulator. Furthermore, under the condtion of DC voltage application, an dielectirc breakdown test was performed according to ambient temperature changes and the distribution of fillers, and the changes were observed. Three types of specimens were manufactured by adding 0, 50 and 100[phr] filling to Epoxy resin. In all specimens, as temperature was increased, the strength of the dielectric strength was decreased. When comparing the simulation results with the actual dielectric breakdown test results, we was able to confirm the technical applicability required for Insulation design of electric appliance.

비행체 폭파로 인한 다중파편 분산 및 지상낙하 영역 추정 알고리듬 연구

이덕진(Deok-Jin Lee),백정부(Baek Jeong Bu),최원규(Won Gyu Choi),노태수(Tae Soo No),송상복(Sangbok Song),고래영(Rae Young Ko),조기성(Kisung Cho) 대한전자공학회 2018 전자공학회논문지 Vol.55 No.4

미사일 오작동으로 인한 폭팔로 생성되는 파편 분산 추정 및 파편의 지상 충돌 시 위험도 분석을 통한 자산 및 인명피해 최소화를 위한 연구 대한 관심이 증대되고 있다. 본 논문에서는 지상 충돌 위험도 분석 위해 미사일 3차원 궤적 모델 및 파편의 분포모델링을 이용하여 지상충돌 위치 및 파편의 지상낙하 영역을 예측할 수 있는 새로운 기법을 다룬다. 폭팔로 생성된 초기 파편 분포 모델링은 통계학적 접근법을 이용하여 초기 공분산 값으로 계산할 수 있는 알고리듬을 제안하고, 제시된 파편 분산 모델의 시간 변화를 예측하기 위한 두 가지의 공분산 전파 알고리듬을 다룬다. 먼저, Lyapunov 방정식을 이용한 공분산 전파 알고리듬을 제시하고, 두 번째는 통계적선형회기(Statistical Linear Regression)기법 중 하나인 무향변환(Unscented Transformation) 기법을 이용한 공분산 전파기법 다룬다. 제시된 알고리듬의 파편 낙하영역 추정 정밀도 및 성능은 다양한 시뮬레이션 연구를 통해서 분석 및 검증 하고자 한다. During the last decades, researches about the precise estimation of debris dispersion and the computation of a ground impact area due to the disintegration of a missile have received lots of attentions. In this paper, first, a new statistical model for representing initial debris dispersion at the event of the disintegration of a missile is introduced. After the modeling, two effective computational algorithms are developed for estimating the debris dispersion as a function of time. For the prediction of the debris dispersion in time, first, Lyapunov based covariance propagation algorithms are designed, and also an unscented transformation based covariance propagation method which is one of statistical linear regression approaches is proposed. For the verification of the performance of the proposed approaches, a various simulation study is carried out in term of the precision of the impact location and impact area prediction.

자율주행 배송로봇을 위한 인공지능 기법

이덕진(Deok-Jin Lee),이마드(Muhamad Imad),도우끼올리드(Oualid Doukhi) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.5