하악전치하방 ( 下顎前齒下方 ) 에 발생한 cementifying - fibroma의 1예보고

김주환,김종열,김창현 ( Ju Whan Kim,Chong Youl Kim,Chang Hyun Kim ) 대한예방치과·구강보건학회 1967 大韓口腔保健學會誌 Vol.1 No.2

발치 ( 拔齒 ) 로 인한 파상풍의 1예 보고

김주환,김종배,고진수,김신규 ( Ju Whan Kim,Jong Bai Kim,Jin Soo Kauh,Shin Kyu Kim ) 대한예방치과·구강보건학회 1967 大韓口腔保健學會誌 Vol.1 No.2

정수장 전염소 공정제어를 위한 침전지 잔류염소농도 예측 머신러닝 모형

김주환,이경혁,김수전,김경훈,Kim, Juhwan,Lee, Kyunghyuk,Kim, Soojun,Kim, Kyunghun 한국 수자원 학회 2022 한국수자원학회논문집 Vol.55 No.-

본 연구는 정수장의 수처리 공정에서 계측되고 있는 수량 및 수질데이터의 활용과 수처리 공정제어의 지능화를 위한 것으로 정수장에서 전염소 공정이 수반되는 처리공정에서 침전지 유출수 잔류염소농도 안정화를 위하여 이를 추정할 수 있는 모형을 구축하고자 하였다. 정수장 침전지 유출수의 잔류염소농도를 예측하기 위하여 중회귀모형과 인공지능 알고리즘 중 다층퍼셉트론 신경망, 랜덤포레스트 및 장단기기억(Long Short Term Memory; LSTM) 모형을 활용하였고 그 결과를 비교, 평가하였다. 모형의 입력변수로는 전염소 공정이 도입된 정수장에서의 잔류염소농도, 수온, 탁도, pH, 전기전도도, 유량, 알칼리도 등이 사용되었고 전염소에 따른 침전지의 안정적 운영을 위해 요구되는 침전지 잔류염소농도를 출력변수로 구성하였다. 적용 결과에서는 랜덤포레스트 모형이 가장 양호한 결과를 보여 주었으며 다음으로 LSTM, 다층퍼셈트론 신경망 순으로 나타났다. 수학적 모형인 중회귀모형은 적합도 측면에서 가장 낮은 결과를 보여 주었는데, 이는 수량과 수질데이터의 수치적인 규모나 차원의 차이뿐만 아니라 계절별 수질특성에 따라 염소소비 특성이 매우 다양하게 반응하기 때문으로 판단된다. 따라서 정수장 수처리 공정에서 인공지능 알고리즘의 적용을 위해서는 랜덤포레스트와 같이 의사결정 트리구조의 도입과 적용이 타당한 것으로 나타났다. 본 연구에서 분석된 결과를 근거로 전염소 공정이 도입된 정수장 수처리 공정에서 염소주입량을 실시간으로 예측 가능하게 함으로써 침전지 유출수에서 잔류염소농도를 일정하게 유지하는데 기여할 수 있을 것으로 기대된다. The purpose of this study is to predict residual chlorine in order to maintain stable residual chlorine concentration in sedimentation basin by using artificial intelligence algorithms in water treatment process employing pre-chlorination. Available water quantity and quality data are collected and analyzed statistically to apply into mathematical multiple regression and artificial intelligence models including multi-layer perceptron neural network, random forest, long short term memory (LSTM) algorithms. Water temperature, turbidity, pH, conductivity, flow rate, alkalinity and pre-chlorination dosage data are used as the input parameters to develop prediction models. As results, it is presented that the random forest algorithm shows the most moderate prediction result among four cases, which are long short term memory, multi-layer perceptron, multiple regression including random forest. Especially, it is result that the multiple regression model can not represent the residual chlorine with the input parameters which varies independently with seasonal change, numerical scale and dimension difference between quantity and quality. For this reason, random forest model is more appropriate for predict water qualities than other algorithms, which is classified into decision tree type algorithm. Also, it is expected that real time prediction by artificial intelligence models can play role of the stable operation of residual chlorine in water treatment plant including pre-chlorination process.

이기종 유사홀로그램 시스템 간 콘텐츠 자동 가시화 기법

김주환,조동식,Kim, Ju-Hwan,Jo, DongSik 한국정보통신학회 2020 한국정보통신학회논문지 Vol.24 No.11

최근 실감 콘텐츠 체험 기회를 제공하기 위한 유사홀로그램(hologram-like)시스템은 공연, 전시, 교육 등에 활발히 적용 및 서비스되고 있다. 이러한 유사홀로그램 시스템을 구성하는 방법은 피라미드형, 반투명 대형 단일 스크린 형태 등 설치될 장소, 사용 목적, 체험자 인원, 콘텐츠의 형태 등에 따라 다양한 크기, 투영 면수 등으로 구성할 수 있다. 본 논문에서는 형태가 서로 다른 이기종의 유사홀로그램 시스템에서 구동되는 실감 콘텐츠 제작을 용이하게 하기 위해 하드웨어 구성에 맞추어 즉석에서 자동적으로 가시화할 수 있는 기법을 제시한다. 본 논문의 결과에 따르면 유사홀로그램 시스템의 구성에 따라 콘텐츠를 매뉴얼하게 재가공하는 노력이 필요 없이 콘텐츠 개발자는 유사홀로그램 시스템에 투영되는 콘텐츠만을 개발하면 즉석에서 자동으로 보정된 가시화가 진행됨을 알 수가 있었다. Recently, a hologram-like system to provide a realistic experience has been serviced in performances, exhibitions, education. The constructing method for the hologram-like system can be configured in various forms such as a pyramid-typed, a semi-transparent large screen form. However, in various types of hologram-like systems, it is difficult to provide adjustment by changing and revising the content according to the configured hardware characteristics. In this paper, we propose a novel technique that can automatically visualize virtual contents running on heterogeneous hologram-like systems. To change the content to a given hardware configuration, we receive pre-built simple text-based configuration data, and correcting process was performed. According to the results of this paper, we found automatically and easily corrected visualization with the given configuration of the hologram-like system. Also, the problem of reducing the time by manual control in various types of heterogeneous hologram systems was solved.

단풍마 단백질 추출물의 스트레스로 인한 면역력 저하 개선 효과

김주환,이선미,이동철,Kim, Ju Hwan,Lee, Sun-Mee,Lee, Dong-Cheol 한국식품영양학회 2018 韓國食品營養學會誌 Vol.31 No.2

It is noted that Dioscorea quinqueloba is a medicinal herb that is widely used to treat cardiovascular disease and is assessed as useful to treat other various medical conditions. The immunopotentiating effects of the protein extract (DQP-1) from Dioscorea quinqueloba were thus formally investigated in vivo under incident of cold stress. In this case study, the spleen and thymus weight in mice was shown to have decreased after a measured exposure to cold stress, while the adrenal gland weight in the mice was shown to have increased. The systematic oral administration of DQP-1 significantly recovered the weight loss of the spleen and suppressed the adrenal gland hypertrophy during the association with cold stress. Additionally, the DQP-1 also restored the ascorbic acid level in the adrenal gland reduced after cold stress. The cold stress exposure lowered the percentage of $CD4^+$ and $CD8^+$ cells in the mouse thymus as determined by the flow cytometric analysis, as well as the levels of some serum immunological cytokines(interleukin-2, interleukin-12, and interferon-${\gamma}$) in the studied mice. The resulting identified weakened immunity caused by cold stress was also recovered by a treatment with DQP-1. The DQP-1 significantly suppressed the formation of serum enzymes of alanine aminotransferase, aspartate aminotransferase, and lactate dehydrogenase, which were systematically elevated during the cold stress episode. These results indicate that DQP-1 can improve immunity in mice that are characteristically weakened under stress.

지리교육과의 특색과 발전방향

김주환,Kim, Ju-Hwan 한국대학교육협의회 1992 大學敎育 Vol.58 No.-

생쥐 난소에서 Preantral Follice의 단순 분리법

김주환,박기상,송해범,전상식,Kim, Ju-Hwan,Park, Kee-Sang,Song, Hai-Bum,Chun, Sang-Sik 대한생식의학회 2000 Clinical and Experimental Reproductive Medicine Vol.27 No.3

Objective: Our present studies were conducted to examine more effective isolating method of preantral follicles from mouse ovaries. Methods: ICR mice (3-6 weeks old) were sacrificed through cervical dislocation and their ovaries were removed and put into watch glasses containing Hams F-10 supplemented with 10% fetal bovine serum (FBS). Preantral follicles were isolated by three different methods; 1) enzymatical method and 2) mincing method, and 3) scraping method. Enzymatical method was carried out as following. Ovaries were bisected with a pair of fine 30G needles. Bisected ovaries were incubated at $37^{\circ}C$ and 5% $CO_2$ incubator in 2-well dish containing Hams F-10 supplemented with collagenase 600 lU/ml and DNAse 20 lU/ml. After 20 min., follicles were isolated by repeated pipetting. Isolated preantral follicles were collected, and the remnant of tissues was placed in incubator and previous procedure was repeated. Mincing method was carried out with a pair of fine 30G needles attached to 1 ml syringes and minced ovary. Scraping method was carried out with a pair of fine 30G needles and scratched to surface of ovary. The differences between isolating methods were analyzed using Student's t-test and Chi-square. Results were considered statistically significant when ${\rho}$ value was less than 0.05. Results: In handling time, mincing or scraping method ($28{\pm}3.42$ min or $16{\pm}1.58$ min) were significantly (p<0.00001) shorter than enzymatical method ($72{\pm}1.69$ min), and scraping method was significantly (p<0.01) shorter than mincing method. Total number of isolated follicles was significantly (p<0.0001) higher in enzymatical method ($49.8{\pm}3.91$) than in mincing or scraping method ($25.3{\pm}2.33$ or $20.5{\pm}1.75$). Isolated follicles in ${\leq}$90${\mu}m$ were significantly (p<0.005) higher in enzymatical method ($15{\pm}1.71$) than in mincing or scraping method ($7.8{\pm}0.98$ or $8.1{\pm}1.31$). In 91~130 ${\mu}m$, isolated follicles were significantly (p<0.0005) higher in enzymatical method ($33{\pm}3.27$) than in mincing or scraping method ($16.3{\pm}1.82$ or $10.7{\pm}1.38$). In ${\geq}$ 131 ${\mu}m$, isolated follicles were not significantly differences between all groups. In equal sizes, the rate of isolated follicles in ${\leq}$ 90 ${\mu}m$ was highest in scraping method (39.6% vs. enzymatical method: 30.1%, p<0.05; mincing method: 30.9%, p=0.11719, NS). Rate of follicles in $91{\sim}130$ ${\mu}m$ was significantly (p<0.05) lower in scraping method (52.7%) than in enzymatical or mincing method (66.3% or 64.5%). Rate of follicles in ${\geq}$131 ${\mu}m$ was highest in scraping method (8.3% vs. enzymatical or scraping method: 3.6%, p<0.05 or 4.6%, p=0.19053, NS). Conclusions: This study suggests that scraping method is simple and useful for isolation of preantral follicles, because this method reduced handling time and recovered enough follicles. The recovered rate of isolated follicles in diameter of 91 ~ 130 ${\mu}m$ was highest in all methods.

Markov Chain Model for Synthetic Generation by Classification of Daily Precipitation Amount into Multi-State

김주환,박찬영,강관원,Kim, Ju-Hwan,Park, Chan-Yeong,Kang, Kwan-Won Korea Water Resources Association 1996 물과 미래(한국수자원학회지) Vol.29 No.6

수자원의 주공급원인 강수는 현상의 발생여부에 따라 건조일과 습윤일이 교대로 반복되는 과정으로 구성되어 있으며, 특히, 일강수계열의 습윤일에 발생되는 강수량의 크기는 매우 다양한 형태를 지니고 있어 이 과정을 모형화 하는데는 복잡한 확률과정이 수반된다. 본 연구에서는 일강수계열의 발생과정을 건조일, 습윤일로 구분하고 습윤일의 강수량을 상태별로 분류하여 각 상태별 천이확률을 계산함으로써 이를 장래에 발생 가능한 강수사상의 모의발생에 이용하였다. 본 모형은 수문사상의 발생과 비발생만을 구분하던 2-state Markov 연쇄모형에 강수의 발생시 강수량의 크기에 따라 상태를 여러 개로 구분하여 강수량을 추정할 수 있도록 수정한 것으로 간헐 수문사상인 일강수계열의 구성성분인 건조일과 습윤일, 건조, 습윤 지속기간 및 습윤일의 강수량을 Markov 연쇄에 의해 동시에 발생있도록 한 것이며 다른 모형에 비해 사용이 비교적 용이하다. 본 연구에서 제안한 multi-state Markov 연쇄모형의 적용 가능성을 검토하기 위하여 비교적 장기간의 자료를 보유하고 있는 관측소의 강수자료를 이용하였으며 그 결과를 강수량, 건조, 습윤일수 및 건조, 습윤계속기간의 분포를 실제자료와 비교하여 모형의 적합도를 평가하였다. 이를 토대로 홍수 및 한발기간의 추정과 모의발생에 의한 자료 확장으로 중장기 수자원 계획 및 운영에 효율적으로 이용될 수 있을 것으로 판단된다. The chronical sequences of daily precipitation are of great practical importance in the planning and operational processes of water resources system. A sequence of days with alternate dry day and wet day can be generated by two state Markov chain model that establish the subsequent daily state as wet or dry by previously calculated vconditional probabilities depending on the state of previous day. In this study, a synthetic generation model for obtaining the daily precipitation series is presented by classifying the precipitation amount in wet days into multi-states. To apply multi-state Markov chain model, the daily precipitation amounts for wet day are rearranged by grouping into thirty states with intervals for each state. Conditional probabilities as transition probability matrix are estimated from the computational scheme for stepping from the precipitation on one day to that on the following day. Statistical comparisons were made between the historical and synthesized chracteristics of daily precipitation series. From the results, it is shown that the proposed method is available to generate and simulate the daily precipitation series with fair accuracy and conserve the general statistical properties of historical precipitation series.

강수계열의 상태분류에 의한 Markov 연쇄 모의발생모형

김주환,박찬영,Kim, Ju-Hwan,Park, Chan-Yeong 한국수자원학회 1996 물과 미래(한국수자원학회지) Vol.29 No.6

개수로내의 검변 및 급변 부정류 해석을 위해서 dynamic wave식을 기본방정식으로 하고 이를 불연속 보간함수와 upstream weighting 을 도입한 Petrov-Galerkin 기법에 의해 해석하는 유한요소모형을 개발하였다. 매트릭스 안정성 해석 결과 Petrov-Galerkin기법은 단파장에서의 선택적 감쇠능력과 위상오차에 있어 우수한 것으로 나타났다. 반면에 Preissmann기법은 단파장에서의 선택적 감쇠능력과 위상오차에 있어 열등한 것으로 나타났고, Bubnov-Galerkin 기법은 비감쇠특성을 나타내고 있어 단파장 영역에서 발산해를 일으키는 주요원인임을 확인할 수 있었다. Petrov-Galerkin 방법은 Courant수의 넓은 범위에서 높은 주파수를 가진 진행파에 대한 선택적인 감쇠와 작은 Courant 수의 범위에서 양호한 위상정도를 가지는 이상적인 조합을 나타내고 있어 점변 및 급변 부정류 해석에 있어 이상적인 기법으로 활용될 수 있을 것으로 판단되었다. A finite element model for simulating gradually and rapidly varied unsteady flow in open channel is developed based on dynamic wave equation using Petrov-Galerkin method. A matrix stability analysis shows the selective damping of short wave lengths and excellent phase accuracies achived by Petrov-Galerkin method. Whereas the Preissmann scheme displays less selective damping and poor phase accuracies, and Bubnov-Galerkin method shows nondissipative characteristics whicn causes a divergence problem in short wave length. The analysis also shows that the Petrov-Galerkin method displays the desirable combination of selective damping of high frequency progressive waves over a wide range of Courant number and good phase accuracy at low Courant number. Therefore, the Petrov-Galerkin can be effectively applied to gradually and rapidly varied unsteady flow.

Optimal Weights of Linear Combinations of the Independent Poisson Signals for Discrimination

김주환,Kim, Joo-Hwan The Korean Data and Information Science Society 2002 한국데이터정보과학회지 Vol.13 No.2

Suppose one is given a vector X of a finite set of quantities $X_i$ which are independent Poisson signals. A null hypothesis $H_0$ about E(X) is to be tested against an alternative hypothesis $H_1$. A quantity $$\sum\limits_{i}\omega_ix_i$$ is to be computed and used for the test. The optimal values of $\omega_i$ are calculated for three cases : (1) signal to noise ratio is used in the test, (2) normal approximations with unequal variances to the Poisson distributions are used in the test, and (3) the Poisson distribution it self is used. A comparison is made of the optimal values of $\omega_i$ in the three cases as parameter goes to infinity.