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CO,CO2 배출량 측정을 통한 아 역청탄 촤 산화 반응률에 관한 실험적 연구
강기태(Ki Tae Kang),송주헌(Ju Hun Song),이천성,장영준(Young June Chang),전충환(Chung Hwan Jeon) 대한기계학회 2009 대한기계학회 춘추학술대회 Vol.2009 No.11
A fundamental investigation has been conducted on the combustion of single particle of a sub-bituminous coal char burning at different temperatures and oxygen concentrations(6%, 10%). The lab-scale test setup consisted of a drop tube furnace where gas temperatures ranged from 900℃ to 1300℃. A calibrated two color pyrometer, mounted on the top of the furnace, provided temperature profiles of luminous particle during a char oxidation. An amount of char mass reacted during char oxidation is measured with thermogravimetry analyzer by using an ash tracer method and is measured with FT-IR by using gas quantitative analysis method. Two methods are compared with each other. Finally, mass and area reactivity as well as reaction rate coefficients are determined for char burning at atmospheric pressure condition.
500㎿급 아역청탄 전소 보일러의 NOx 배출저감에 미치는 SOFA 영향에 관한 연구
강기태(Ki-Tae Kang),송주헌(Ju-Hun Song),윤민지(Min-Ji Yoon),이병화(Byoung-Hwa Lee),김승모(Seung-Mo Kim),장영준(Young-June Chang),전충환(Chung-Hwan Jeon) 대한기계학회 2009 大韓機械學會論文集B Vol.33 No.11
A numerical investigation has been carried out about the performance of a 500MW class tangentially coal-fired boiler, focusing on the optimization of separated overfire air (SOFA) position to reduce NOx emission. For this purpose, a comprehensive combination of NOx chemistry models has been employed in the numerical simulation of a particle-laden flow along with solid fuel combustion and heat and mass transfer. A reasonable agreement has been shown in baseline cases for predicted operational parameters compared with experimental data measured in the boiler. A further SOFA calculation has been made to obtain optimum elevation and position of SOFA port. Additionally, clarifying on the effect of SOFA on NOx emission has been carried out in the coal-fired boiler. As a result, this paper is valuable to provide an information about the optimum position of SOFA and the mechanism by which the SOFA would affect NOx emission.
강기태(Ki Tae Kang),이천성(Chuen Seung Lee),송주헌(Ju Hun Song),장영준(Young June Chang),전충환(Chung Hwan Jeon) 대한기계학회 2009 대한기계학회 춘추학술대회 Vol.2009 No.5
A fundamental investigation has been conducted on the combustion of single particle of a sub-bituminous coal char which is used in Korean power plants at different temperature and residence time. The laboratory setup consisted of a drop tube furnace. A drop tube furnace operated at temperatures from 900℃ to 1400℃. A calibrated two color pyrometer, interfaced with the furnace, recorded luminous particle temperature profiles during a char oxidation. A carbon mass loss during char oxidation is measured with TGA as means of Ash tracer methods. Finally, mass reactivity, area reactivity and reaction rate coefficient is determined at atmosphere pressure.
뇌졸중 환자의 뇌 병변의 위치에 따른 구강기와 인두기 연하곤란 양상
이주연 ( Ju Yeon Lee ),강기태 ( Ki Tae Kang ),양영애 ( Yeong Ae Yang ) 한국고령친화건강정책학회 2011 대한고령친화산업학회지 Vol.3 No.2
연구목적: 본 연구는 뇌졸중환자에서 피질병변,피질하병변,뇌간병변의 연하곤란 양상을구강기와 인두기 측면에서 신경학적으로 비교하여 밝히는 목적으로 한다. 연구방법: 대상군은 신경학적으로 안정된 후 재활의학과로 전과되어 비디오투시검사를 시행하였고, 검사 결과를 연하 기능 평가 기준으로 연하 양상을정리 하였다. 정리된 결과는 신경학적 뇌 병변의 위치별로 정리하여 비교하였다. 연구결과: 구강기에서 구강 통과 시간 지연은 피질병변 14명 중 9명, 피질하병변 11명 중 3명, 뇌간병변 10명중 0명으로 나타났으며, 피질병변에서 통계적으로 유의하게 많았다(p<0.01). 인두기에서 후두 거상과 후두개 폐쇄기능 문제는 피질병변 14명 중 6명, 피질하 병변 11명 중 2명, 뇌간병변 10명 중 9명으로 나타났으며, 뇌간병변에서 통계적으로 유의하게 많았다(p<0.05). 흡인의 경우 피질병변 14명 중 3명, 피질하 병변 11명 중 3명, 뇌간병변 10명 중 10명으로 나타났으며, 뇌간병변에서 통계학적으로 유의하게 많았다(p<0.05). 결론: 대뇌병변에서도 연하곤란은 흔히 발생하며,뇌간병변에 비해 구강기에서의 기능저하가 많이 나타났다. 대뇌병변 중 피질병변과 피질하병변에서의 연하양상의 큰 차이는 없었다. 구강 통과 시간 지연은 세 가지 병변 중 피질병변에서 통계학적으로 유의하게 많았다. 뇌간병변은 대뇌병변에 비하여 인두기 장애가 뚜렷하고,특히 후두상승,흡인, 인두 통과 시간 지연이 통계적으로 유의하게 높았다. Purpose : Post-stroke dysphagia occurs in the form of lingual discoordination, pharyngeal dysmotility, and delayed swallowing reflex. The purpose of this study is to define the pattern of post-stroke swallowing disorder according to the location of brain lesion. Methods : Thiry-five post-stroke patients participated to perform the videofluroscopic swallowing study(VFSS). Brain lesions were classified by cortical, subcortical, or brainstem groups. Results : There was no difference of swallowing pattern between the cortical and subcortical lesions. However patients with brainstem lesion more frequently showed incomplete laryngeal elevation, prolonged pharyngeal transit time and aspiration than with cortical and subcortical lesions( p<0.05). And patients with cortical lesion more frequently showed prolonged oral transit time than with subcortical and brainstem lesions(p<0.05). In the patients with cortical and subcortical lesions, aspiration occurred before the laryngeal elevation due to discoordination of laryngopharynx. Whereas in the brainstem lesion, aspiration occurred after the laryngeal elevation due to incomplete laryngeal closure. Conclusion : Discoordination of the tongue, oropharynx, and laryngopharynx is predominant in the cortical and subcortical lesion, whereas in complete laryngeal closure and failure of cricopharyngeal muscle relaxation are predominant in the brianstem lesion.
하동욱(Dong-wook Ha),강기태(Ki-tae Kang),류연승(Yeonseung Ryu) 한국정보보호학회 2017 정보보호학회논문지 Vol.27 No.4
최근 몇 년 동안 지속적으로 개인정보유출, 기술유출 사고가 빈번하게 발생하고 있다. 조사에 따르면 이러한 유출 사고의 주체로 가장 많은 부분을 차지하고 있는 것이 조직 내부에 있는 ‘내부자’로, 내부자에 의한 기술유출은 조직에 막대한 피해를 주기 때문에 점점 더 중요한 문제로 여겨지고 있다. 본 논문에서는 내부자위협을 방지하기 위해 기계학습을 이용하여 직원들의 일반적인 정상행위를 학습하고, 이에 벗어나는 비정상 행위를 탐지하기 방법에 대한 연구를 하고자한다. Neural Network 모델 중 시계열 데이터의 학습에 적합한 Recurrent Neural Network로 구성한 Autoencoder를 구현하여 비정상 행위를 탐지하는 방법에 대한 실험을 진행하였고, 이 방법에 대한 유효성을 검증하였다. In recent years, personal information leakage and technology leakage accidents are frequently occurring. According to the survey, the most important part of this spill is the "insider" within the organization, and the leakage of technology by insiders is considered to be an increasingly important issue because it causes huge damage to the organization. In this paper, we try to learn the normal behavior of employees using machine learning to prevent insider threats, and to investigate how to detect abnormal behavior. Experiments on the detection of abnormal behavior by implementing an Autoencoder composed of Recurrent Neural Network suitable for learning time series data among the neural network models were conducted and the validity of this method was verified.