다중 문턱전압 CMOS를 이용한 저 전력 캐리 예측 가산기 설계

김동휘,김정범 강원대학교 정보통신연구소 2007 정보통신논문지 Vol.11 No.-

This paper proposes a low-power carry look-ahead adder using multi-threshold voltage CMOS. The designed adder is compared with conventional CMOS adder. The propagation delay time is reduced by using low-threshold voltage transistor in the critical path. Also, the power consumption is reduced by using high-threshold voltage transistor in the shortest path. Comparing with the conventional CMOS circuit, the proposed circuit is achieved to reduce the power consumption by 14.71% and the power-delay-product by 16.11%. This circuit is designed with Samsung 0.35㎛ CMOS process. The validity and effectiveness are verified through the HSPICE simulation.

적외선 센서를 이용한 다종가스 계측기 구현

최낙진,류정호,강봉휘,이광우,이덕동 경북대학교 센서기술연구소 1997 센서技術學術大會論文集 Vol.8 No.1

The semiconductor gas sensors with a tin oxide as the raw material have been generally used to detect gases in the principle of electrical conductivity variation. However, it was difficult to design the gas detection system due to the non-selectivity, the non-stability and the influence of temperature, humidity etc. Therefore, it was proposed NDIR(non-dispersive infrared) method using pyroelectric infrared sensor to overcome the disadvantage of the semiconductor gas sensors. This method has been recently used to detect various gases in industrial parts. It has the advantages of selectivity, stability and responsibility. The gases used in this paper were CO_(2)(carbon dioxide) and HC(hydrocarbon) series. The system was designed with the Intel MCU i8097BH microprocessor. Main topics were to remove interference effect for other gases and to minimize influence for ambient circumstance by using the software and the hardware techniques.

자동차차체 및 부품제조업 산업장의 작업환경실태에 관한 조사 연구

서준호,문덕환,김정호,이채관,황용식,손병철,김대환,이창희,김휘동,이채언 인제대학교 백병원 2002 仁濟醫學 Vol.23 No.5

Objectives: For the purpose of preparing the fundamental data and control the working environment and assessing the status of working environmental in manufacturing industry of bodies for motor car and of parts. Methods and Materials: Accessories for motor car and its engines the auther measured the noise level, concentration of dust, heavymetals, organic solvents, chemicals to 99 industries(24 working processes) form Feb. 2000 to Oec. 2000. Results: The results were as follows : 1. Mean noise level cutting, grinding, pressing, foundries and shot-blast was exceeded to threshold limit value(TLV) of noise. 2. Mean concentration of total dust was not exceeded to TLV. 3. Mean concentration of Mn in welding process and Pb in drying, welding, fabricating, rolling was exceeded to TLV. 4. Mean concentration for chemicals and organic solvents were not exceeded to TLV. 5. Mean concentration of dust and heavymetals were statistical significant difference between with local ventilation system and without local ventilation system. Conclusion: Above results, author suggest to prepare more passively control to working environment where exceeded the TLV.

유기용제 폭로가 여성 근로자들의 월경에 미치는 영향

김대환,이채관,김휘동,강동묵,문덕환,김정호,손병철,이창희,이채언 인제대학교 백병원 2002 仁濟醫學 Vol.23 No.1

유기용제는 산업장에서 널리 사용되고 있다. 특히 여성근로자들의 폭로기회가 증가하고 있으며 이로 인한 자연유산, 수태능력 감소, 월경이상 등이 보고되고 있다. 따라서 유기용제 폭로가 여성근로자들의 월경에 미치는 영향을 보기 위해 설문조사와 월경주기별 여성생식 호르몬(progesterone, estrogen) 분석을 하였다. 그 결과 폭로군에서 progeterone의 억제효과가 유기용제에 폭로되는 여성근로자들의 다양한 월경이상을 초래할 가능성이 있는 것으로 생각된다. ■ Objectives This study was conducted to evaluate the effects of menstrual function in female workers exposed to organic solvents. ■ Methods Rates of menstrual disorders were studied in 87 female workers with exposure to organic solvents(Cn/Hn-value 0.713) in a factory manufacturing shoes and compared with 83 general female workers who had no exposure to organic solvents, Detailed menstrual and reproductive histories were obtained by personal interview using structured questionnaire, and plasma concentrations of progesterone and estrogen were assayed by radioimmunoassay(RIA). ■ Results The rates for menstrual irregularity, menstrual duration, blood clot in menstrual flow and dysmenorrhea were not significantly different in both groups. Number of using menstrual pad was significantly higher and the plasma level of progesterone during 6-11th day of menstrual cycle was significantly lower in the exposed group compared with non-exposed group(P<0.05). ■ Conclusions It seemed to be suppression effect of organic solvents on the reproductive hormones(progesterone and estrogen) in female workers. But there was no evidence that menstrual disorder was likely to result from exposure to organic solvents, because other behavioral, psychological and work related factors may also affect menstrual function.

cDNA array 방법을 이용한 망간에 노출된 흰쥐 뇌기저핵의 유전자발현 분석

이채관,노성민,문덕환,,김정호,손병철,김대환,이창희,김휘동,김정원,김종은,안진홍,이채언 大韓産業醫學會 2005 대한직업환경의학회지 Vol.17 No.4

Objectives: This study investigated the gene expression profile in basal ganglia of manganese-exposed rats based on cDNA array analysis. Methods: For cDNA array, 25 male Sprague-Dawley rats (250±25 g) were intraperitoneally injected with 25 ㎎/㎏ B. W./day of MnCl2 (0.3 ㎖) for 10 days. For dose-related gene expression analysis, rats were intraperitoneally injected with 0.2, 1.0, and 5.0 ㎎/㎏ B. W/day of MnCl2 for 10 days. Control rats were injected with an equal volume of saline. RNA samples were extracted from brain tissue and reverse-transcribed in the presence of [α^(32)P]-dATP. Membrane sets of the Atlas Rat 1.2 array Ⅱ and Toxicology array 1.2 kit (Clontech, Palo Alto, CA) were hybridized with cDNA probe sets. Northern blot hybridization method was employed to assess the dose-related gene expression. Results: Fifty-two genes showed significant changes in expression of more than two-fold. Twenty-eight were up-regulated and 24 were down-regulated in the manganese-exposed group compared to the control. Among the 52 genes, 28 genes including nuclear factor I-X1 (NF1-X1), neuroligin 2 and 3, mitochondrial stress-70 protein (MTHSP70), neurodegeneration-associated protein 1 (Neurodap 1), multidrug resistance protein (MDR), and endoplasmic reticulum stress protein 72 (ERP72), were reported for the first time related to the manganese-induced neurotoxic-metabolism in the rat basal ganglia. According to the dose-related gene expression analyses, MTHSP70, Neurodap 1 and ERP72 genes were up-regulated compared to the control even in the group exposed to low manganese dose ( 0.2 ㎎/㎏ B.W./day). Conclusions: Twenty-eight genes detected for the first time in this study were closely related to the manganese-induced neurotoxic-metabolism in the rat basal ganglia and further study of these genes can give some more useful information about the manganese metabolism.

부산지역 조선업 협력업체 근로자들의 산업재해 관련요인

신성환,김대환,안진홍,김휘동,김정호,강현만,이종태 大韓産業醫學會 2008 대한직업환경의학회지 Vol.20 No.1

목적: 조선업 협력업체의 재해율 및 재해자 특성을 파악하고,이들의 생활습관요인 및 사회 인구학적 요인을 포함하는 개인적 특성과,작업과 관련된 직업적 특성을 조사하여 산업재해 관련요인을 규명하고자 하였다. 방법: 2007년 5윌부터 7월까지,산업재해예방 안전교육을 실시한 부산지역 64개 조선업 협력 사업장의 생산직 근로자 1, 651명을 대상으로 개인적 특성,직업적 특성,산업재해 특성에 관해 자기기입식으로 설문조사를 실시하였다. 산업재해는 최근 5년 이내에 1회 이상 발생한 경우로 한정하였고,재해로 인한 요양일수에 따라 Group I(요양일수 4일 미만). Group II(요양일수 4일 이상). Group III (Group I+Group II)로 구분하여 재해 경험이 없는 군과 비교하였다. 통계적 유의성이 있는 요인들을 파악한 후 다중 로지스틱 회귀분석을 시행하여 보정된 교차비를 산출하였다. 결과: 본 연구에서의 재해율은 2006년을 기준으로 전체 재해자가 125명, 7.57%, 4일 이상의 요양기간을 필요로 하는 재해자가 75명, 4.30%였다. 산업재해 발생건수는 취부 작업에서 가장 많이 발생하는 것으로 나타났고,산업재해보상보험 처리비율은 4일 이상 요양을 한 재해자 중 30%였다. 산업재해와의 관련성에 있어서 Group I에서는 대졸이상의 교육수준(OR 2.78), 높은 피로도(OR 2.18), Group II에서는 5시간미만의 수면시간(OR 3.47), 높은 피로도(OR 2.79), 주 56시간 이상의 작업시간(OR 1.53), Group III에서는 대졸이상의 교육수준(OR 1.78), 5시간미만의 수면시간(OR 2.98), 내쁜 수면의 질(OR 1. 65), 높은 피로도(OR 2.58)가 통계적 유의성이 있었다. 결론: 조선업 협력업체 근로자들을 대상으로 실시한 본 연구를 통하여 5시간 미만의 수면시간,나쁜 수면의 질,높은 피로도,주 56시간 이상의 작업시간,대졸이상의 교육수준이 산업재해 관련요인으로 밝혀졌다. 따라서 이들 사업장의 산업재해발생과 관련해서 개인적 생활습관, 작업 환경 및 작업 조건을 개선하는 등의 산업 재해 관련요인 관리가 중요할 것으로 판단된다. Objective: This study was conducted to evaluate both personal and work-related factors associated with occupational injuries of ship-building supply workers in Busan, Korea. Methods: A self-administered, questionnaire survey, asking both personal and work-related factors associated with occupational injuries, was administered to 1,651 workers from 64 different ship-building supply companies in Busan, Korea. All occupational injuries had occurred within the previous 5 years. The workers were divided into three sub-groups: Group I, under 4 day-sick leave, Group II, 4 day-sick leave and over, and Group III, which consisted of both Groups I and II. The statistical significance of the factors associated with occupational injuries underwent cross tabulation analysis for each group. Afterwards, the relationships between the factors which had statistical significance and the occurrence of occupational injuries were analyzed through multiple logistic regression by using the SPSS 12.0 K program. Results: The prevalence of occupational injuries was 4.30% in Group II and 7.57% in Group III. The work activities which had the most frequent occupational injuries were 'Fit-up' and 'Welding', and 30.0% of injured workers were covered by workers' compensation in Group II. According to the multiple logistic regression analysis results, the factors which had statistical significance in occupational injury occurrence were education level above college (OR 2.78) and high level of fatigue (OR 2.18) in Group I, sleeping less than 5 hours per day (OR 3.47), high level of fatigue (OR 2.79) and working over 56 hours per week (OR 1.53) in Group II, and education level above college (OR 1.78), sleeping less than 5 hours per day (OR 2.98), poor sleep quality (OR 1.65) and high level of fatigue (OR 2.58) in Group III. Conclusion: This study demonstrated that several factors of ship-building supply workers such as sleep hours, sleep quality, fatigue, working hours, and educational level exerted a statistical effect on the occurrence of occupational injuries, In association with occupational injuries occurrence, these factors need to be controlled by proper methods such as effective safety education, work condition modification, and life style management.

On-line Approximated Just-In-Time Model Predictive Control for Batch Trajectory Tracking

Dong Hwi Jeong,Jong Min Lee 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

Batch process in the practical industry has the characteristics of having unsteady state, nonlinearity and iterative operation. For tracking a reference trajectory of batch process, several data based model predictive controllers have been proposed with the progress of sensors and machine learning. When the reference trajectories are largely different from each other and the nonlinearity of dynamics is severe, however, utilization of a single model with whole dataset may reduce the predictive capability of the model and the control performance. It is because the global model has high possibility to miss the details of process dynamics. To solve this problem, we propose to update a set of local models in the manner of just-in-time (JIT) learning and to utilize them to predict the future behaviour of process for controller design. Bi-level optimization problem while applying the proposed method to design an optimal control is solved by approximate the JIT learning step into an explicit formation. In addition, a global optimal solution of the proposed method can be found by the proposed algorithm despite the constructed JIT model is nonlinear and discontinuous when the linear latent variable model is used for the local modelling. Fed-batch bioreactor system having historical data of tracking distinct reference trajectories and severe nonlinearity is simulated to verify the efficiency of the proposed method. Simulation results show that both of predictive and control performances by the proposed method are better than the ones of the conventional latent variable model predictive controller.

S-181 : Asymptomatic Myxoma originating from the Right Ventricular Outflow Tract

( Dong Hwi Kim ),( Jeong Eun Yi ),( Hyun Ji In ),( Min Yeong Jeong ),( Moon Sung Kim ) 대한내과학회 2013 대한내과학회 추계학술대회 Vol.2013 No.1

Cardiac myxoma is rare primary cardiac tumors, with a prevalence of 0.5 per million population per year, of which only 3% to 4% are reported to arise in the right ventricle. A 42-year-old female was presented to emergency room with general weakness. The patient was performed abdominal CT, Echocardiography and right ventricular outflow tract (RVOT) mass was incidentally found. Pulmonary angio CT showed enhancing mass after contrast infusion in right ventricular outflow tract. Transthoracic echocardiography revealed a large mobile ovoid mass located in RV outflow tract measuring 26×14 mm in diameter. And the mass was prolapsing to pulmonary trunk during systolic phase. But there was no RVOT obstruction with pressure gradient of 2.6 mmHg. The patient was taken up for surgery. The mass was completely removed via right atrial approach under cardiopulmonary bypass. The mass was yellowish, soft and it had a wide area of the stalk. The microscopic examination shows stellate or globular cells that are arranged in cord-like pattern with abundant myxoid background., which is consistent with a benign myxoma. We present a case in which RVOT myxoma were incidentally found without RVOT obstruction and related symptoms, and removed successfully by surgery.

Enhancement of modifier adaptation scheme via feedforward decision maker using historical disturbance data and deep machine learning

Jeong, Dong Hwi,Lee, Jong Min Elsevier 2018 Computers & chemical engineering Vol.108 No.-

<P><B>Abstract</B></P> <P>Most advanced processes struggle to reduce the production cost under constraints. For this, an iterative optimization method called modifier adaptation has been utilized due to its ability to ensure the necessary conditions of optimality even under model-plant mismatch. However, the optimization performance may be degraded by the disturbance which may significantly change the true optimum. In this study, a feedforward decision maker is designed to deal with disturbances in advance and compensate the limitation of feedback scheme of the conventional modifier adaptation. It is constructed by historical data and deep machine learning, and combined with the modifier adaptation. When disturbances occur, the decision maker provides an initial point close to the true optimum by exploiting the historical data. As the information is accumulated, a better initial point for modifier adaptation is obtained. Constrained optimization of numerical example and run-to-run bioprocess are illustrated to validate the utility of the proposed method.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Feedback only modifier adaptation cannot handle large disturbances properly. </LI> <LI> Historical data and machine learning enable to design a feedforward decision maker. </LI> <LI> Deep neural network finds better starting point for modifier adaptation. </LI> <LI> Its applicability is confirmed with numerical and bioprocess examples. </LI> </UL> </P>

First report of tobacco mosaic virus infecting Geranium thunbergii in Korea

Hwi-Won Jeong,Seon-Min Go,Hyo-Jeong Lee,Nam-Yeon Kim,Rae-Dong Jeong 한국농약과학회 2018 한국농약과학회 학술발표대회 논문집 Vol.2018 No.10