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최현웅(Hyunwoong Choi),김영일(Youngil Kim),박승태(Seungtae Park),유경록(Kyungrok Yoo) 대한설비공학회 2009 대한설비공학회 학술발표대회논문집 Vol.2009 No.-
The present study has been conducted to reduce the cold air drying rate. According to the cold air drying method, the quality-excellent product could be made and there would be little change of color, taste and smell. As compared with the hot air drying, the cold air drying equipment has the superior dehumidification in a constant drying zone. However, in a falling drying zone that equipment is not energy-efficient because the drying period could be longer by the dehumidificated.
최현웅(Hyunwoong Choi),정광섭(Kwangseop Chung),이태호(Taeho Lee),박승태(Seungtae Park) 대한설비공학회 2009 대한설비공학회 학술발표대회논문집 Vol.2009 No.-
After analyzing the characteristics of the cooling dryer, the mixed cooling dryer was developed by adding the desiccant dryer which supplement the cooling dryer's demerits. Also, the hybrid desiccant cooling dryer was developed to use effectively the exhaust heat energy of the cooling dryer. It could make a more that 20 percent reduction in energy compared with the mixed desiccant cooling dryer. It has become essential to supply this equipment and search the suitable drying product.
스트립 바이너리에서 합성곱 신경망을 이용한 컴파일러 정보 추출 기법
이정수,최현웅,허준영,Lee, Jungsoo,Choi, Hyunwoong,Heo, Junyeong 한국인터넷방송통신학회 2021 한국인터넷방송통신학회 논문지 Vol.21 No.4
스트립 바이너리는 디버그 심볼 정보가 삭제된 바이너리이며, 역공학 등의 기법을 통한 바이너리 분석이 어렵다. 기존의 바이너리 분석 툴은 디버그 심볼 정보에 의존하여 바이너리를 분석하기 때문에 이러한 스트립 바이너리의 특징이 적용된 악성코드를 감지하거나 분석하는데 어려움이 있다. 이러한 문제를 해결하기 위해 스트립 바이너리의 정보를 효과적으로 추출할 수 있는 기술의 필요성이 대두되었다. 본 논문에서는 바이너리 파일의 바이트 코드가 컴파일러 버전, 최적화 옵션 등에 따라 매우 상이하게 생성된다는 점에 착안하여 효과적인 컴파일러 버전 추출을 위해 스트립 바이너리 대상으로, 전체 바이트 코드를 읽어 이미지화 시킨 후 이를 합성곱 신경망에 적용, 정확도 93.5%을 달성하여 스트립 바이너리를 기존보다 더욱 효과적으로 분석할 수 있는 계기를 제공한다. The strip binary is a binary from which debug symbol information has been deleted, and therefore it is difficult to analyze the binary through techniques such as reverse engineering. Traditional binary analysis tools rely on debug symbolic information to analyze binaries, making it difficult to detect or analyze malicious code with features of these strip binaries. In order to solve this problem, the need for a technology capable of effectively extracting the information of the strip binary has emerged. In this paper, focusing on the fact that the byte code of the binary file is generated very differently depending on compiler version, optimazer level, etc. For effective compiler version extraction, the entire byte code is read and imaged as the target of the stripped binaries and this is applied to the convolution neural network. Finally, we achieve an accuracy of 93.5%, and we provide an opportunity to analyze stripped binary more effectively than before.
이태호(Taeho Lee),금종수(Jongsoo Kum),박승태(Seungtae Park),홍석균(Seokkyun Hong),최현웅(Hyunwoong Choi),이정호(Jungho Lee) 대한설비공학회 2009 대한설비공학회 학술발표대회논문집 Vol.2009 No.-
The present study has been conducted to reduce the cold air drying rate. According to the cold air drying method, the quality-excellent product could be made and there would be little change of color, taste and smell. As compared with the hot air drying, the cold air drying equipment has the superior dehumidification in a constant drying zone. However, in a falling drying zone that equipment is not energy-efficient because the drying period could be longer by the dehumidificated.