Improvement of Bio-ethanol Fermentation Process Efficiency by Gas-liquid Mass Transfer Improvement

Jiyoung YUN,Haryeong LEE,Young-kee KIM 한국생물공학회 2013 한국생물공학회 학술대회 Vol.2013 No.10

Development of Candidate Biomarkers for Pancreatic Ductal Adenocarcinoma Using Multiple Reaction Monitoring

Jiyoung Yun,김경곤,MeeJoo Kang,Hyunsoo Kim,김선회,장진영,김영수 한국생물공학회 2013 Biotechnology and Bioprocess Engineering Vol.18 No.5

Pancreatic ductal adenocarcinoma (PDAC) is the fourth most frequent cause of cancer mortality in the United States. Because CA 19-9 increases not only in PDAC, but also in benign conditions, there is urgent need for an additional PDAC biomarker. Isotope tags for relative and absolute quantification (iTRAQ) were performed using 6 pairs of PDAC and normal tissues from the same patients, to obtain preliminary PDAC-specific proteins; and verification was performed by multiple reactions monitoring (MRM), using 30 PDAC and 20 normal serum, targeting high-abundant serum proteins without any pre-preparation. As a result, 17 candidate proteins from tissue iTRAQ were verified as potential markers (AUC values > 0.7). Multivariate analysis (MA) demonstrated that a 6-marker panel,consisting of alpha-1 antitrypsin, haptoglobin beta chain,hemopexin, transferrin, zinc alpha-2 glycoprotein, and apolipoprotein A4 from the MRM result, had comparable discriminatory power versus CA 19-9. Our study demonstrated that a combination of iTRAQ on PDAC tissue and verification MRM-MA on individual serum was an efficient method for the development of PDAC multimarkers.

오가닉 미디어와 인터넷 시장의 새로운 질서 - 아마존 사례를 중심으로 -

Jiyoung YUN 한국경영정보학회 2013 한국경영정보학회 학술대회논문집 Vol.2013 No.1

Augmentation by Hypercholesterolemia of Amyloid β Peptide-Induced Learning and Memory Deficit

Yun-Bae Kim,Dongsun Park,Jiyoung Oh,Tae Kyun Kim,Young Jin Cho,Sun Hee Lee,Dae-Kwon Bae,Yun-Hui Yang,Goeun Yang,Seock-Yeon Hwang 충북대학교 동물의학연구소 2009 Journal of Biomedical and Translational Research Vol.10 No.2

The present study was carried out to establish an animal model, displaying long-term learning and memory dysfunction, since single intracerebroventricular (icv) injection of amyloid β peptide (Aβ) causes a short-term memory impairment. Male ICR mice were fed a high-cholesterol diet (HCD) containing 3% cholesterol, 1% corn oil and 0.5% cholic acid, and 1 week later, icv injected with Aβ_1-42 (5 μg/head). Learning/ memory function was assessed via passive avoidance performances 1 day and 2, 4, and 6 weeks after Aβ_1-42 injection, in addition to blood biochemical analyses for lipid profiles and hepatic function. Total cholesterol, lowdensity lipoproteins and hepatic dysfunction parameters markedly increased, while high-density lipoproteins were reduced following HCD feeding. Whereas single injection of Aβ induced temporary memory loss 1 day after administration, exhibiting full recovery after 2 weeks, Aβ treatment in combination with HCD feeding lasted the learning/memory impairment up to 6 weeks. Therefore, it is suggested that hypercholesterolemia augments Aβ-induced memory loss, and that Aβ injection plus HCD feeding could be a long-term memorydeficit model suitable for long-term treatment with drugs or stem cells.

Weight analysis of mastectomy specimens and abdominal flaps used for breast reconstruction in Koreans

Jiyoung Yun,Hyung Hwa Jeong,Jonghan Cho,김은기,엄진섭,한현호 대한성형외과학회 2018 Archives of Plastic Surgery Vol.45 No.3

Background Slim patients or those with large breasts may be ineligible for breast reconstruction with an abdominal flap, as the volume of the flap may be insufficient. This study aimed to establish that abdominal tissue–based breast reconstruction can be well suited for Korean patients, despite their thin body habitus. Methods A total of 252 patients who underwent postmastectomy breast reconstruction with an abdominal flap from October 2006 to May 2013 were retrospectively reviewed. The patients’ age and body mass index were analyzed, and a correlation analysis was performed between the weight of the mastectomy specimen and that of the initial abdominal flap. Results The average weights of the mastectomy specimen and initial abdominal flap were 451.03 g and 644.95 g, respectively. The ratio of the weight of the mastectomy specimen to that of the initial flap was 0.71±0.23. There was a strong positive linear relationship between the weight of the mastectomy specimen and that of the initial flap (Pearson correlation coefficient, 0.728). Thirty nulliparous patients had a final-to-initial flap weight ratio of 0.66±0.11. The 25 patients who underwent a contralateral procedure had a ratio of 0.96±0.30. The adjusted ratio of the final flap weight to the initial flap weight was 0.66±0.12. Conclusions Breast weight had a strong positive relationship with abdominal flap weight in Koreans. Abdominal flaps provided sufficient soft tissue for breast reconstruction in most Korean patients, including nulliparous patients. However, when the mastectomy weight is estimated to be >700 g, a contralateral reduction procedure may be considered.

Weight analysis of mastectomy specimens and abdominal flaps used for breast reconstruction in Koreans

Yun, Jiyoung,Jeong, Hyung Hwa,Cho, Jonghan,Kim, Eun Key,Eom, Jin Sup,Han, Hyun Ho Korean Society of Plastic and Reconstructive Surge 2018 Archives of Plastic Surgery Vol.45 No.3

Background Slim patients or those with large breasts may be ineligible for breast reconstruction with an abdominal flap, as the volume of the flap may be insufficient. This study aimed to establish that abdominal tissue-based breast reconstruction can be well suited for Korean patients, despite their thin body habitus. Methods A total of 252 patients who underwent postmastectomy breast reconstruction with an abdominal flap from October 2006 to May 2013 were retrospectively reviewed. The patients' age and body mass index were analyzed, and a correlation analysis was performed between the weight of the mastectomy specimen and that of the initial abdominal flap. Results The average weights of the mastectomy specimen and initial abdominal flap were 451.03 g and 644.95 g, respectively. The ratio of the weight of the mastectomy specimen to that of the initial flap was $0.71{\pm}0.23$. There was a strong positive linear relationship between the weight of the mastectomy specimen and that of the initial flap (Pearson correlation coefficient, 0.728). Thirty nulliparous patients had a final-to-initial flap weight ratio of $0.66{\pm}0.11$. The 25 patients who underwent a contralateral procedure had a ratio of $0.96{\pm}0.30$. The adjusted ratio of the final flap weight to the initial flap weight was $0.66{\pm}0.12$. Conclusions Breast weight had a strong positive relationship with abdominal flap weight in Koreans. Abdominal flaps provided sufficient soft tissue for breast reconstruction in most Korean patients, including nulliparous patients. However, when the mastectomy weight is estimated to be >700 g, a contralateral reduction procedure may be considered.

베이지안 확률 및 폐쇄 순차패턴 마이닝 방식을 이용한 설명가능한 로그 이상탐지 시스템

윤지영 ( Jiyoung Yun ),신건윤 ( Gun-yoon Shin ),김동욱 ( Dong-wook Kim ),김상수 ( Sang-soo Kim ),한명묵 ( Myung-mook Han ) 한국인터넷정보학회 2021 인터넷정보학회논문지 Vol.22 No.2

인터넷과 개인용 컴퓨터가 발달하면서 다양하고 복잡한 공격들이 등장하기 시작했다. 공격들이 복잡해짐에 따라 기존에 사용하던 시그니처 기반의 탐지 방식으로 탐지가 어려워졌으며 이를 해결하기 위해 행위기반의 탐지를 위한 로그 이상탐지에 대한 연구가 주목 받기 시작했다. 최근 로그 이상탐지에 대한 연구는 딥러닝을 활용해 순서를 학습하는 방식으로 이루어지고 있으며 좋은 성능을 보여준다. 하지만 좋은 성능에도 불구하고 판단에 대한 근거를 제공하지 못한다는 한계점을 지닌다. 판단에 대한 근거 및 설명을 제공하지 못할 경우, 데이터가 오염되거나 모델 자체에 결함이 발생해도 이를 발견하기 어렵다는 문제점을 지닌다. 결론적으로 사용자의 신뢰성을 잃게 된다. 이를 해결하기 위해 본 연구에서는 설명가능한 로그 이상탐지 시스템을 제안한다. 본 연구는 가장 먼저 로그 파싱을 진행해 로그 전처리를 수행한다. 이후 전처리된 로그들을 이용해 베이지안 확률 기반 순차 규칙추출을 진행한다. 결과적으로 “If 조건 then 결과, 사후확률(θ)” 형식의 규칙집합을 추출하며 이와 매칭될 경우 정상, 매칭되지 않을 경우, 이상행위로 판단하게 된다. 실험으로는 HDFS 로그 데이터셋을 활용했으며, 그 결과 F1score 92.7%의 성능을 나타내었다. With the development of the Internet and personal computers, various and complex attacks begin to emerge. As the attacks become more complex, signature-based detection become difficult. It leads to the research on behavior-based log anomaly detection. Recent work utilizes deep learning to learn the order and it shows good performance. Despite its good performance, it does not provide any explanation for prediction. The lack of explanation can occur difficulty of finding contamination of data or the vulnerability of the model itself. As a result, the users lose their reliability of the model. To address this problem, this work proposes an explainable log anomaly detection system. In this study, log parsing is the first to proceed. Afterward, sequential rules are extracted by Bayesian posterior probability. As a result, the "If condition then results, post-probability" type rule set is extracted. If the sample is matched to the ruleset, it is normal, otherwise, it is an anomaly. We utilize HDFS datasets for the experiment, resulting in F1score 92.7% in test dataset.

네덜란드의 색채 디자인 특성

윤지영(Yun Jiyoung),노문식(Noh Moonsik) 한국색채학회 2006 한국색채학회 학술대회 Vol.2006 No.9

PageRank 특징을 활용한 RDP기반 내부전파경로 탐지 및 SHAP를 이용한 설명가능한 시스템

윤지영 ( Jiyoung Yun ),김동욱 ( Dong-wook Kim ),신건윤 ( Gun-yoon Shin ),김상수 ( Sang-soo Kim ),한명묵 ( Myung-mook Han ) 한국인터넷정보학회 2021 인터넷정보학회논문지 Vol.22 No.4

인터넷이 발달함에 따라 다양하고 복잡한 사이버공격들이 등장하기 시작했다. 공격들을 방어하기 위해 네트워크 외부에서 다양한 방식의 탐지 시스템들이 활용되었으나 내부에서 공격자를 탐지하는 시스템 및 연구는 현저히 드물어 내부에 들어온 공격자를 탐지하지 못해 큰 문제를 야기하기도 했다. 이를 해결하고자 공격자의 움직임을 추적하고 탐지하는 내부전파경로 탐지 시스템에 대한 연구가 등장하기 시작했다. 특히 그중에서도 Remote Desktop Protocol(RDP) 내 특징을 추출해 탐지하는 방식은 간편하면서도 매우 좋은 결과를 나타내었다. 하지만 그럼에도 불구하고 이전 연구들은 각 로그온 된 노드들 자체의 영향 및 관계성을 고려하지 않았으며, 제시된 특징 또한 일부 모델에서는 떨어지는 결과를 제공하기도 했다. 또한 왜 그렇게 판단했는지 판단에 대해 설명하지 못한다는 문제점도 존재했다. 이는 결과적으로 모델의 신뢰성 및 견고성 문제를 야기하게 된다. 이를 해결하기 위해 본 연구에서는 PageRank 특징을 활용한 RDP기반 내부전파경로 탐지 및 SHAP를 이용한 설명가능한 시스템을 제안한다. 페이지랭크 알고리즘과 여러 통계적인 기법을 활용해 여러 모델에서 활용 가능한 특징들을 생성하고 SHAP을 활용해 모델 예측에 대한 설명을 제공한다. 본 연구에서는 이전 연구에 비해 대부분의 모델에서 더 높은 성능을 보여주는 특징을 생성했고 이를 SHAP을 이용해 효과적으로 증명했다. As the Internet developed, various and complex cyber attacks began to emerge. Various detection systems were used outside the network to defend against attacks, but systems and studies to detect attackers inside were remarkably rare, causing great problems because they could not detect attackers inside. To solve this problem, studies on the lateral movement detection system that tracks and detects the attacker's movements have begun to emerge. Especially, the method of using the Remote Desktop Protocol (RDP) is simple but shows very good results. Nevertheless, previous studies did not consider the effects and relationships of each logon host itself, and the features presented also provided very low results in some models. There was also a problem that the model could not explain why it predicts that way, which resulted in reliability and robustness problems of the model. To address this problem, this study proposes an interpretable RDP-based lateral movement detection system using page rank algorithm and SHAP(Shapley Additive Explanations). Using page rank algorithms and various statistical techniques, we create features that can be used in various models and we provide explanations for model prediction using SHAP. In this study, we generated features that show higher performance in most models than previous studies and explained them using SHAP.

19세기 프랑스 부르주아(Bourgeois)의 패션에 나타난 모방 욕망 특성에 관한 연구 - 르네 지라르의 모방 욕망이론의 관점에서 -

윤지영(Jiyoung Yun),간호섭(Hosup Kan) 한국복식학회 2021 服飾 Vol.71 No.2