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Oh, Soram,Kim, Sehoon,Lo, Ha Seon,Choi, Joo-Young,Kim, Hyun-Jung,Ryu, Gil-Joo,Kim, Sun-Young,Choi, Kyoung-Kyu,Kim, Duck-Su,Jang, Ji-Hyun Elsevier 2018 JOURNAL OF ENDODONTICS - Vol.44 No.12
<P><B>Abstract</B></P> <P>This case report describes an innovative virtual simulation method using a computer-aided rapid prototyping (CARP) model and a computer-aided design (CAD) program for autotransplantation of an immature third molar.A compromised left mandibular second molar (#18) was extracted and replaced by autotransplantation using an immature left mandibular third molar (#17). In order to minimize the surgical time and injury to the donor tooth, a virtual 3-dimensional (3D) rehearsal surgery was planned. Cone-beam computed tomographic images were taken to fabricate the 3D printing CARP model of the donor tooth and tentative extraction socket. Subsequently, both CARP models were scanned with an intraoral scanner (CEREC Omnicam; Dentsply Sirona, Bensheim, Germany) followed by superimposition and virtual simulation of osteotomy preparation of the recipient alveolus using the CAD analysis program. During the surgery, the extraction socket was precisely prepared according to the predetermined location and dimensions via virtual simulation rehearsal surgery using CAD analysis. The donor tooth was atraumatically transplanted into the prepared socket. The follow-up examination revealed that the root developed with a normal periodontal ligament and lamina dura.Virtual simulation using a 3D printing CARP model and a CAD program could be clinically useful in autotransplantation of an immature third molar by ensuring an atraumatic and predictable surgery.</P>
Periodontal regenerative therapy in endo-periodontal lesions: a retrospective study over 5 years
Oh, Soram,Chung, Shin Hye,Han, Ji-Young Korean Academy of Periodontology 2019 Journal of Periodontal & Implant Science Vol.49 No.2
Purpose: The aim of this study was to evaluate clinical and radiographic changes and the survival rate after periodontal surgery using deproteinized bovine bone mineral (DBBM) with 10% collagen or DBBM with a collagen membrane in endo-periodontal lesions. Methods: A total of 52 cases (41 patients) with at least 5 years of follow-up were included in this study. After scaling and root planing with or without endodontic treatment, periodontal regenerative procedures with DBBM with 10% collagen alone or DBBM with a collagen membrane were performed, yielding the DBBM + 10% collagen and DBBM + collagen membrane groups, respectively. Changes in clinical parameters including the plaque index, bleeding on probing, probing pocket depth, gingival recession, relative clinical attachment level, mobility, and radiographic bone gains were evaluated immediately before periodontal surgical procedures and at a 12-month follow-up. Results: At the 12-month follow-up after regenerative procedures, improvements in clinical parameters and radiographic bone gains were observed in both treatment groups. The DBBM + 10% collagen group showed greater probing pocket depth reduction ($4.52{\pm}1.06mm$) than the DBBM + collagen membrane group ($4.04{\pm}0.82mm$). However, there were no significant differences between the groups. Additionally, the radiographic bone gain in the DBBM + 10% collagen group ($5.15{\pm}1.54mm$) was comparable to that of the DBBM + collagen membrane group ($5.35{\pm}1.84mm$). The 5-year survival rate of the teeth with endo-periodontal lesions after periodontal regenerative procedures was 92.31%. Conclusions: This study showed that regenerative procedures using DBBM with 10% collagen alone improved the clinical attachment level and radiographic bone level in endo-periodontal lesions. Successful maintenance of the results after regenerative procedures in endo-periodontal lesions can be obtained by repeated oral hygiene education within strict supportive periodontal treatment.
김소람(Soram Kim),김지훈(Jihun Kim),박명서(Myungseo Park),김대운(Daeun Kim),김종성(Jongsung Kim) 한국정보보호학회 2018 정보보호학회논문지 Vol.28 No.2
랜섬웨어는 데이터를 암호화하여 금전을 요구하는 악성프로그램이다. 전 세계적으로 랜섬웨어에 대한 피해가 증가하고 있으며 기업, 공공기관, 병원을 대상으로 하는 타깃형 공격이 늘어나고 있다. 또한 랜섬웨어가 서비스화 되어 유포되기 때문에 하나의 랜섬웨어가 발견되면 이후에 해당 랜섬웨어와 유사한 변종이 많이 발견된다. 이에 따라 랜섬웨어에 대한 정확한 분석이 해당 랜섬웨어뿐만 아니라 변종 랜섬웨어 복호화 방안 모색에 기반이 될 수 있다. 본 논문에서는 2017년 6월에 발견된 Erebus 랜섬웨어에 대해 암호학적 요소와 암호화 과정을 분석하였으며, 해당 결과를 기반으로 암호학적 취약점 및 메모리 분석 연구를 진행하였다. Ransomware is a malicious program that requires money by encrypting data. The damage to ransomware is increasing worldwide, and targeted attacks for corporations, public institutions and hospitals are increasing. As a ransomware is serviced and distributed, its various usually emerge. Therefore, the accurate analysis of ransomware can be a decryption solution not only for that ransomware but also for its variants. In this paper, we analyze a cryptographic elements and encryption process for Erebus found in June, 2017, and investigate its cryptographic vulnerability and memory analysis.
Xgboost application on bridge management systems for proactive damage estimation
Lim, Soram,Chi, Seokho Elsevier 2019 ADVANCED ENGINEERING INFORMATICS Vol.41 No.-
<P><B>Abstract</B></P> <P>Bridge inspection is one of the most fundamental tasks in bridge management practices. Because of limited professional manpower and budget constraints, providing prior information about possible damage can reduce inspection errors and time. The purpose of this study was to estimate the condition of bridges at a damage level, considering various influencing factors for seven different damage types by six different main structure types, using data from the Korean Bridge Management System. The extreme gradient boosting (XGBoost) method was used because it has the advantage of not assuming determinacy and independence, and it clearly can handle the numerous variables that affect damage to bridges. As a result, out of the 38 decision trees that were generated, 36 trees were derived with significant performance measures. The influence of the variables was calculated by the Shapley Additive Explanation (SHAP) value. Age, average daily truck traffic, vehicle weight limit, total length, and effective width were found to be the major factors that influenced damage to bridges. This study confirmed that more detailed structural factors were significant contributors to severe damage to complex structural designs and the use of multiple kinds of materials, such as the cross-sectional properties of girders for the concrete deck of bridges with steel girders compared to the properties of the decks for bridges made of a simple slab of reinforced concrete. The research findings emphasized the benefits of artificial intelligence in the analysis of the conditions of bridges and showed its potential for use in network-level decision making for preventive maintenance.</P>