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영역화에 기초를 둔 영상 부호화에서 영역 부호화 방법의 개선에 관한 연구
김주은,김성대,김재균,Kim, Joo-Eun,Kim, Seong-Dae,Kim, Jae-Kyoon 대한전자공학회 1989 전자공학회논문지 Vol. No.
본 논문에서는 영역화에 기초를 둔 영상 부호화의 한 부분인 영역 부호화의 개선에 관한 연구가 수행되었다. 영역화시 texture의 효율적인 표현을 위하여 영상을 stochastic random field로 묘사 될 수 있는 stochastic 영역과 non-stochastic 영역으로 구분한다. 영역 부호화 및 복원시 stochastic 영역에 대해서는 autoregressive model을 이용하고 non-stochastic영역은 2차원 다항식 근사화를 이용한다. 제안 방식은 2차원 다항식 근사화만을 이용한 기존 방식보다 더 좋은 주관적 화질을 가지며, 상대적인 data 감축할 수 있었고 영상의 부호화 및 복원에 필요한 수행시간을 단축시켰다. An improved method on texture coding, which is a part of the region growing based image coding, is presented in this paper. An image is segmented into stochastic regions which can be described as a stochastic random field, and non-stochastic ones in order to efficiently represent texture. In the texture coding and reconstruction, an autoregressive model is used for the stochastic regions, while a two-dimensional polynomial approximation is used for the non-stochastic ones. This proposed method leads to a better subjective quality, relatively higher compression ratio and shorter processing time for coding and reconstructing than the conventional method which uses only two-dimensional polynomial approximation.
스마트 홈 헤이 홈 Air의 클라우드 아티팩트 원격 수집 방안 연구
김주은,서승희,차해성,김역,이창훈,Kim, Ju-eun,Seo, Seung-hee,Cha, Hae-seong,Kim, Yeok,Lee, Chang-hoon 한국인터넷정보학회 2022 인터넷정보학회논문지 Vol.23 No.5
As the use of Internet of Things (IoT) devices has expanded, digital forensics coverage of the National Police Agency has expanded to smart home areas. Accordingly, most of the existing studies conducted to acquire smart home platform data were mainly conducted to analyze local data of mobile devices and analyze network perspectives. However, meaningful data for evidence analysis is mainly stored on cloud storage on smart home platforms. Therefore, in this paper, we study how to acquire stored in the cloud in a Hey Home Air environment by extracting accessToken of user accounts through a cookie database of browsers such as Microsoft Edge, Google Chrome, Mozilia Firefox, and Opera, which are recorded on a PC when users use the Hey Home app-based "Hey Home Square" service. In this paper, the it was configured with smart temperature and humidity sensors, smart door sensors, and smart motion sensors, and artifacts such as temperature and humidity data by date and place, device list used, and motion detection records were collected. Information such as temperature and humidity at the time of the incident can be seen from the results of the artifact analysis and can be used in the forensic investigation process. In addition, the cloud data acquisition method using OpenAPI proposed in this paper excludes the possibility of modulation during the data collection process and uses the API method, so it follows the principle of integrity and reproducibility, which are the principles of digital forensics.
음압에 의해 생성된 멍 촬영을 위한 적외선 광원과 필터 조합에 관한 연구
김주은(Ju-Eun Kim),김지연(Ji-Yeon Kim),전소영(So-Young Jeon),김은아(Eun-A Kim),유제설(Je-Seol Yu) 한국콘텐츠학회 2016 한국콘텐츠학회논문지 Vol.16 No.11
학대나 폭력을 입증할 수 있는 증거 중 하나인 멍은 크게 외력에 의한 것과 음압에 의한 것으로 나뉜다. 외력에 의해 생성된 멍에 관한 연구는 많지만, 음압에 의해 생성된 멍에 관한 연구는 적다. 적외선 광원으로 멍을 촬영한 선행연구들을 살펴보면 하나의 적외선 광원과 필터만을 사용하여 실험했다는 문제점이 있다. 본 실험의 연구자들은 적외선 광원과 필터의 조합에 따라 멍의 촬영 결과물이 다른 양상을 보일 것으로 생각하였다. 따라서 세 종류의 적외선 광원과 다섯 종류의 적외선 필터를 사용하여 음압에 의해 생성된 멍을 촬영하는데 최적의 조합을 찾고자 하였다. 그 결과 750 nm 영역을 포함하는 텅스텐과 이 영역을 투과시키는 필터인 Kodak Wratten #18A를 사용했을 때 가장 좋은 결과를 얻을 수 있었다. Bruise caused by damages through physical compression and suction is one of evidences that can prove abuse or assault. It is essential for taking photography to prove a crime. Some studies about the Infrared (IR) light source have limitations that only one IR light source and one barrier filter were used. To find the best combination of filters and IR light sources, we produced suction bruise artificially and used three IR light sources and five barrier filters. Consequently, we found that the best combination is using a tungsten lamp and Kodak Wratten #18A barrier filter.
Lycopene production in recombinant E. coli engineered with foreign mevalonate pathway
Ju-Eun Kim(김주은),Sang-Hawl Yoon(윤상활),Sook-Hee Lee(이숙희),Hye-Min Park(박혜민),Eun-Kyeong Lee(이은경),Jung-Hun Kim(김정헌),Hossein Shahbarri,Si-Hyoung Lee(이시형),Yong-Chul Shin(신용철),Seon-Won Kim(김선원) 한국생물공학회 2005 한국생물공학회 학술대회 Vol.2005 No.10
간호대학생의 메타인지, 학습동기, 학업적 자기효능감이 자기주도학습능력에 미치는 영향
김소희(So Hee Kim), 이정민(Jung Min Lee), 김민경(Min Gyeong Kim), 김수아(Su Ah Kim), 김주은(Ju Eun Kim), 노윤서(Yun Seo Noh), 송지민(Ji Min Song), 이다원(Da Won Lee), 이소희(So Hee Lee) 다문화건강학회 2023 다문화건강학회지 Vol.13 No.1
Purpose: This study sought to identify the influence of metacognition, learning motivation, and academic self-efficacy on the self-directed learning ability of nursing students. Methods: A descriptive study design was used, and data were collected using self-reported questionnaires from 194 nursing students. Statistical analyses, including independent t-test, one-way ANOVA, Pearson's correlation, and multiple regression analysis, were performed using SPSS 26.0. Results: Metacognition, learning motivation, and academic self-efficacy significantly predicted nursing students' self-directed learning ability, accounting for 66.3% of the variance. Conclusion: Interventions to improve the self-directed learning ability of nursing students should focus on enhancing metacognition, learning motivation, and academic self-efficacy.