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한정태,김노수 永同工科大學校 1996 硏究論叢 Vol.2 No.1
실험실 또는 현장에 대한 적응력을 증강시키기 위하여 특별 실험 교육을 실시하였다. 화학공학과 3학년 학생들에게는, 이미 2학년 때 익혀둔 실험 기술들을 활용할 수 있는 과제들을 그룹별로 부여하였다. 화학공학과 2학년 학생들에게는, 우선 특별 실험 교육을 실시하여 기본기를 익히게 하였고 그 후 역시 그룹별로 과제를 부여하여 이를 수행하면서 각종 실험 기술들을 숙달토록 하였다. Extra curricular laboratory training was done by the chemical engineering major students to intensify their hands-on experience in the laboratory and/or at the field. For the junior class a different topic was given to each group to utilize the student's experimental techniques which were experienced during the sophomore year. For the sophomore class the students learned the basic experimental techniques first and then, again, a different topic was given to each group to drill their experimental skills.
이명섭,한정태,이근복,김노수,조찬휘 永同大學校 1997 硏究論叢 Vol.3 No.1
우리 영동대학교에서 1998년 이후 지금까지 진행하여 온 특별 주제 학습과정인 STC(Special Topics COurse)프로그램을 기존의 운영틀에서 탈피하여 한층 더 발전시킨 복합STC로 활용하고자 하였으며, 특히 이를 졸업생의 취업 및 진학의 방법으로 최대한 활용하고자 계획·운영하였다. 그 결과 취업 및 진학과 같은 진로 확립은 물론 전공지식의 확대, 자격시험 대비능력의 향상, 학생과 교수간의 유대강화 등과 같은 괄목할 만한 성과를 얻을 수 있었으며, 교수들의 산업체 방문을 통한 산학협동의 계기 마련에도 커다란 성과를 얻었다. We have upgraded the STC(Special Topics Course) program, which has been carried out in our university since 1995, to more structured program so that we could train our chemical engineering students better. This program was geared to help students find better jobs and enter well-recognized graduate schools. Consequently, we had most students successful in job searches as well as entrance exams for graduate school; besides, those who actively participated in our STC program were able to attain better professional knowledge and acquire various professional engineers certificates. On top of that, this program allowed us to build up closer relationships with our students. We also made university-industry cooperation possible through our visits to industries nearby.
송민정,송혁,이태강,기노갑,박현구,김선우 대한건축학회 2004 대한건축학회논문집 Vol.20 No.5
The "Sound Classification System on Floor Impact Sound Insulation Performance" is being studied in Korea. For that study, vocabularies appropriate for evaluation and reporting are needed. In this study, adequate words for evaluating floor impact sound have been extracted by reviewing the existing vocabularies and augmenting this with the results of a questionnaire prepared especially for apartment dwellers. As a result of this study, followings are suggested. 1) The heavy impact sound sources are more highly ranked than light impact ones. And the louder sound sources are the more accumulated points. 2) Highly ranked vocabularies are different for each source. 3) Floor impact sound evaluating words such as ‘Annoying’, ‘Disagreeable’, ‘Strident’, ‘Disturbed’, and ‘Dissonant’ are highly ranked. ‘Annoying’ is the word most accurately expressing the subjects' unpleasant feeling of domestic floor impact noise. 4)‘Unpleasant’, ‘Noisy’, ‘Irritating’, ‘Annoying’ are main unpleasant factors to floor impact sounds occurring in our domestic apartment houses.
Molecular Orbital Calculation of F+CH₃Cl Sn2 Recation
No,Kyoung Tai 崇田大學校 1985 論文集 Vol.15 No.1
ab initio molecular orbital calculation was performed for the S?2 reaction of F?+CH₃Cl system using 4-31G?+anion P basis set. From the geometries and normal modes of reactant, reactant complex, transition state, product complex, and product pseudo-intrinsic reaction coordinate was obtained. Along the this pseudo-IRC ab initio M.O. calculation was performed and classical potential was obtained using the optimization of energies and geometries of the points in pseudo-IRC.
Toxicity Prediction using Quantitative Systems Biology
( Kyoung Tai No ) 한국동물실험대체법학회 2009 한국동물실험대체법학회 학술대회집 Vol.2009 No.3
Many of in silico technologies have been developed for finding high biological active compounds, for example virtual screening, focused library, QSAR, ligand based design, and structure based design. Now those of techniques are widely used in lead discovery and much contributed to fast lead generation. Whereas the in silico predictions of xenobiotic toxicity, drug-drug interaction, and metabolites are not so much accurate. Systems biology, especially in silico physiome, can be used for the integration of all the possible knowledge, for example, genomic, proteomic, metabolic, and physiomic knowledge, and can be used for prediction for complex biological phenomena such as drug adverse effect, carcinogenicity, and drug-drug interaction. Toxicogenomics made the large scale gene expression profile analaysis of cellular response toward toxic causing compounds possible. The common gene expression patterns of the same toxicity type compounds were used to construct toxicity prediction systems. We tried to classify gene expression profiles of lung cancer carcinogens according to the genotoxicity.