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천연가스버스 대체로 인한 자동차 배출물질의 위해도 감소에 관한 연구
임영욱(Youngwook Lim),이용진(Yongjin Lee),양지연(Yangji Yeon),신동철(Dongchun Shin) 한국자동차공학회 2005 한국자동차공학회 춘 추계 학술대회 논문집 Vol.2005 No.11_1
We have estimated risks from an vehicles, diesel vehicles, and city bus emissions using several assumption and exposure scenarios and also risk benefit resulted in replacing diesel bus to CNG bus. As results, health risks due to dies디 emissions were much higher than others. PM10 was the most important pollutant of vehicle emissions in theoretical mortality incidence, and PM10 and nitrogen dioxide did so in respiratory hospital admission. Risk. benefits from CNG bus were about 90% and higher until 2007 in condition that diesel city buses have been not increased any more since 2000. Many uncertainties should be considered in those estimates.
( Youngwook Seo ),( Chansong Hwang ),( Moon S. Kim ),( Ahyeong Lee ),( Bal-geum Kim ),( Jongguk Lim ),( Giyoung Kim ),( Jaekyung Jang ) 한국농업기계학회 2020 한국농업기계학회 학술발표논문집 Vol.25 No.1
Hyperspectral imaging technology has emerged as an non-destructive and reliable analysis and discriminant technology for agri-food safety assessment. The technology provides the 3D cub e data with spatial and spectral data. The size of the 3D cube data set is larger than hundreds MB (in the case of 1000 pixels × 1004 pixels × 128 bands). The real-time detection and classification technology is essential for food safety assessment. To reduce the size of data is finding the optimal bands from the whole spectral data. In this study, a genetic algorithm (GA) is implemented to find subset features from 128 wavelengths and applied to develop a classification model. On the stainless steel plate, six spinach droplets were placed on each well according to the concentrations. Original juice of spinach is 100%, and additional five levels were diluted with distilled water as follows: 1:5 (20%), 1:10 (10%), 1:20 (5%), 1:50 (2%), and 1:100 (1%), respectively. VNIR hyperspectral images were obtained using a line-scan hyperspectral imaging system and concentration prediction models were developed with multivariate analysis methods. Support vector machine with 39 selected bands using the genetic algorithm showed accuracy a s 90.65% and the kappa coefficient was 0.88. The overall accuracy of PLS-DA and LDA showed reasonable accuracy as 72.13% and 85.06%, respectively. Using feature selection such as gen etic algorithm, we can reduce the dimensionality of the 3D cube data so that it is helpful to develop a rapid and real-time classifier for food safety. VNIR (400-1000 nm) hyperspectral imaging system and chemometric classification models with sub-set data based on genetic algorithm showed a potential for developing an safety assessment technology for agro-food processing machines or facilities.
( Youngwook Seo ),( Chansong Hwang ),( Moon S. Kim ),( Ahyeong Lee ),( Bal-geum Kim ),( Jongguk Lim ),( Giyoung Kim ),( Jaekyung Jang ) 한국농업기계학회 2020 한국농업기계학회 학술발표논문집 Vol.25 No.1
Convolutional neural network (ConvNet) has emerged as an state-of-the-art machine learning and classification model. ConvNet based on multilayer perceptrons with fully connected network which is prone to overfitting data. Maxpooling and rectified linear unit is a method for finding edge and reducing variance of data. In this study, ConvNet was applied to classify VNIR hyperspectral data of spinach droplet concentrations. The extracts of spinach was diluted to six levels adding distilled water as follows: original extracts (100%), 1:5 (20%), 1:10 (10%), 1:20 (5%), 1:50 (2%), and 1:100 (1%), respectively. Stainless steel plate had 6 concentration × 15 replica × 2 repeat (N=180). In order to acquire VNIR (400-1000 nm) hyperspectral images, a line-scan hyperspectral imaging system was used and obtained 1000 pixels × 1004 pixels × 128 bands 3D cube data. Spectral data was extracted manually and PCA was applied to analyze data characteristics. Score plot of scattering showed each concentration cluster attributes on PC1 and PC2 space. Using the 99th image (865 nm) with threshold 400, the mask image built up, removed background and selected ROIs. ConvNet and pre-processing methods (MSC, derivatives, moving average, and normalization) were used to develop the concentration prediction models then compared accuracy based on confusion matrix. 1D ConvNet showed the best accuracy as well 92.98% with 1st derivative (D1). VNIR hyperspectral imaging system and ConvNet classification model showed a potential for developing an safety assessment technology for agro-food processing machines or facilities.
웹 브라우저 기반 악성행위 탐지 시스템(WMDS) 설계 및 구현
이영욱(Youngwook Lee),정동재(Dongiae Jung),전상훈(Sang-hun Jeon),임채호(Chae-ho Lim) 한국정보보호학회 2012 정보보호학회논문지 Vol.22 No.3
악성코드 유포자들은 웹 어플리케이션 취약점 공격을 이용해 주로 악성코드를 유포한다. 이러한 공격들은 주로 악성링크를 통해 이루어지며, 이를 탐지하고 분석하는 연구가 활발히 이루어지고 있다. 하지만 현재의 악성링크 탐지 시스템은 대부분 시그니처 기반이어서 난독화 된 악성링크는 탐지가 거의 불가능하고 알려진 취약점은 백신을 통해 공격을 사전에 방지 할 수 있지만 알려지지 않은 취약점 공격은 사전 방지가 불가능한 실정이다. 이러한 한계점을 극복하기 위해 기존의 시그니처 기반 탐지 방법을 지양하고 행위기반 탐지 시스템에 관한 연구가 이루어지고 있다. 하지만 현재 개발된 탐지 시스템은 현실적으로 제약사항이 많아 실제로 활용하기에는 한계가 있다. 본 논문에서는 이와 같은 한계를 극복하고 탐지 효율을 높일 수 있는 새로운 웹 브라우저 기반 악성행위 탐지 시스템인 WMDS(Web-browser based Mailcious behavior Detection System)를 소개 하고자 한다. Vulnerable web applications have been the primary method used by the attackers to spread their malware to a large number of victims. Such attacks commonly make use of malicious links to remotely execute a rather advanced malicious code. The attackers often deploy malwares that utilizes unknown vulnerabilities so-called “zero-day vulnerabilities.” The existing computer vaccines are mostly signature-based and thus are effective only against known attack patterns, but not capable of detecting zero-day attacks. To mitigate such llimitations of the current solution, there have been a numerous works that takes a behavior-based approach to improve detection against unknown malwares. However, behavior-based solutions arbitrarily introduced a several limitations that made them unsuitable for real-life situations. This paper proposes an advanced web browser based malicious behavior detection system that solves the problems and limitations of the previous approaches.
Advance Reservation Framework with Protection Management for Virtual Circuit Services
Huhnkuk Lim(임헌국),Kyungmin Lee(이경민),Youngwook Cha(차영욱) 한국통신학회 2013 韓國通信學會論文誌 Vol.38 No.11(네트워크)
한국의 대표적 연구망인 KREONET은 사용자 가상회선 서비스를 위해 사전 예약 기반의 네트워크 서비스 에이전트인 DynamicKL 시스템을 개발하여 왔다. DynamicKL은 오픈 그리드 포럼 (OGF)에서 네트워크 자원 제어서비스를 위해 정의한 표준인 네트워크 서비스 인터페이스 (NSI) 및 그래픽 유저 인터페이스 (GUI)를 이용하여 예약, 할당, 해제, 종결, 조회 가상 회선 서비스를 제공한다. 또한 사용자에 의해 앞서 생성된 가상 회선과 예약들에게 가상회선 별로 보호 절체 관리 기능을 제공하기 위해 RICE 인터페이스를 갖는다. 본 논문은 DynamicKL 프레임워크 안에 구현된 가상회선 별 보호 절체 관리 기능을 가상 회선 서비스 관리 이슈 중 하나로 소개하고 이는 선진 연구망에서 개발한 다른 사전 예약 프레임워크 들과 비교하여 관리 및 안정성이 확보된 가상 회선 서비스를 제공하는데 기여한다. 관리자는 RICE 인터페이스를 사용하여 주회선 링크 장애시 백업 링크 안에 주 가상회선 들의 성공적인 보호 절체 유무 및 주회선 링크 복구 후 주회선 링크 내부에 주 가상회선 들의 성공적인 재생성 유무를 감지 할 수 있다. The most representative research network in Korea, KREONET, has developed DynamicKL, an advance reservation based Network Service Agent (NSA) for user driven virtual circuit services. DynamicKL provides reservation, provisioning, release, termination, and inquiry web services for network resources by using an open standard network service interface (NSI), as well as web services for network resources by using a GUI interface. In addition, it has the RICE interface to support a protection management function per VC for virtual circuits and reservations. In this article, a protection management per VC for provisioned VCs and reservations is addressed in the DynamicKL framework, as a contribution to the VC protection management issue, which results in more manageable and reliable VC services compared to other advance reservation frameworks. An administrator can detect successful or unsuccessful VC protections in the event of a primary link failure and successful or unsuccessful VC retrievals after a primary link repair, by using RICE.
Park, Youngwook,Lim, Jong Hyeon,Lee, Jin Yong,Kang, Heon American Chemical Society 2019 JOURNAL OF PHYSICAL CHEMISTRY C - Vol.123 No.15
<P>The susceptibility of a water molecule to electric fields provides fundamental and essential information for understanding the vibrational spectra of water clusters and condensed-phase water. In this study, the Stark sensitivities for the ν<SUB>2</SUB> bending and ν<SUB>1</SUB> symmetric stretching vibrations of water molecule were experimentally determined. The water molecules isolated in the solid Ar matrix were spatially oriented in the direction of the externally applied field (∼10<SUP>8</SUP> V m<SUP>-1</SUP>) in the laboratory frame by using the ice-film nanocapacitor method. The signature of the field-induced reorientation of water molecules was observed with reflection-absorption infrared spectroscopy. The Stark sensitivities of the D<SUB>2</SUB>O vibrations were determined from the field-induced change of vibrational frequencies of the spatially oriented D<SUB>2</SUB>O molecules. The Stark sensitivity of the D<SUB>2</SUB>O bending vibration was much larger than that of the symmetric stretching vibration, and the two normal modes showed the opposite signs. Isotope dependence of the Stark sensitivity of the bending vibration was also observed by investigating HDO and H<SUB>2</SUB>O molecules. An ab initio calculation was conducted to elaborate on the observed characteristics of the Stark sensitivity of water vibrations.</P> [FIG OMISSION]</BR>