• 한국정보전자통신기술학회논문지
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• 제11권6호
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• pp.724-731
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• 2018

코드 난독화는 프로그램을 해석하거나 위조 또는 변조 방지를 목적으로 프로그램을 쉽게 이해할 수 없도록하는 기술이다. 역난독화는 난독화된 프로그램을 입력으로 받아 원 소스의 의미를 역공학 기술을 통해 분석하는 기술이다. 본 논문은 가상화 기반 환경에서 바이너리 코드에 대한 난독화 및 역난독화 기술에 대한 분석 연구이다. VMAttack를 기반으로 정적 코드분석, 동적 코드분석, 최적화 기법에 대한 구체적인 분석을 통해 난독화 및 역난독화 기술을 구체적으로 분석한 후 실레 바이너리 코드에 대해 난독화와 역난독화 기술을 실험하였다. 본 논문를 통하여 다양한 가상화, 난독화에 대한 연구를 진행할 수 있을 것으로 기대된다. 특히, 스택-기반 가상 머신에서 연구한 것을 레지스터-기반 가상 머신에서 실행될 수 있게끔 기능을 추가하여 연구를 시도해볼 수 있을 것이라 기대된다.

• 정보보호학회논문지
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• 제33권2호
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• pp.151-164
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• 2023

최근 양자 컴퓨터의 개발은 현재 사용 중인 이산대수 문제나 인수분해 문제 기반의 공개키 암호에 큰 위협이 되므로, 이에 NIST(National Institute of Standards and Technology)에서는 현재 컴퓨팅 환경 및 도래하는 양자 컴퓨팅 환경에서 모두 구현이 가능한 양자내성암호를 위해 공모전을 진행하고 있다. 이 중 NIST 양자내성암호 공모전 4라운드에 진출한 SIKE(Supersingular Isogeny Key Encapsulation)는 유일한 Isogeny 기반의 암호로써, 동일한 안전성을 갖는 다른 양자내성암호에 비해 짧은 공개키를 갖는 장점이 있다. 그러나, 기존의 암호 알고리즘과 마찬가지로, SIKE를 포함한 모든 양자내성암호는 현존하는 암호분석에 반드시 안전해야만 한다. 이에 본 논문에서는 SIKE에 대한 전력 분석 기반 암호분석 기술을 연구하였으며, 특히 웨이블릿 변환 및 딥러닝 기반 클러스터링 전력 분석을 통해 SIKE를 분석하였다. 그 결과, 현존하는 클러스터링 전력 분석 기법의 정확도를 50% 내외로 방어하는 마스킹 대응기법이 적용된 SIKE에 대해 100%에 가까운 분석 성공률을 보였으며, 이는 현존하는 SIKE 기법에 대한 가장 강력한 공격임을 확인하였다.

• 한국환경복원기술학회지
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• 제8권1호
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• pp.88-99
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• 2005

This research aimed to investigate the current trends of rooftop greening techniques of frequent use within and without Korea. It is also expected that this research will help developing new rooftop greening techniques appropriate for Korean environment. Data for this study have been collected from patent applications for rooftop greening techniques; the web sites of the Korean Intellectual Property Office as well as patent offices in Germany and Japan, where active researches on rooftop greening techniques are in progress. 168 applications within a period from the year of 1984 to December of 2004 were examined, among which Japan excelled with its 81 applications followed by Germany(54), Korea(31)and USA(2). In case of Japan, where more patent applications were found than in any other countries, applications for Plant Base(38) excelled others - System(36), Management(4) and Plant(3) in the number of applications. As for Germany, 25 cases were on Plant Base, 25 cases on System, and 4 cases on Plant; in Korea, 15 cases were on Plant Base, 11 cases on System, 3 cases on Plant and 2 cases on Management; in USA, 1 cases were on System and 1 cases on Plant. Overall, the total number of patent applications in three countries reaches 168 cases; among which Plant Base topped in all four countries, followed by 73 cases on System. Applications concerning Plant and Management totalled to 11 and 6 for each. In conclusion, most patents were concentrated on Plant Base and System while researches on Plant and Management still do not get as much attention as they deserve. Research and development of various techniques on Plant must be a precondition for the formation of diverse Bio-tops suitable for the environments of specific areas. Concrete researches on rooftop greening techniques will contribute to the improvement of urban ecosystem by developing more convenient and easily applicable techniques during the time of actual construction.

• 패션비즈니스
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• 제28권1호
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• pp.131-148
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• 2024

Among the various decorative techniques in fashion design, this study is to study the decorative effect of the aesthetic finishing technique on fabric. Despite the recent expansion of the use of decorative techniques by aesthetic finishing of fabrics, most of the studies have focused on one or partial techniques, and there has been no part on the use of broad techniques or the application of overall design. Therefore, the purpose of this study is to collect the expression techniques of aesthetic finishing and its fashion cases that have been sporadically performed by examining the decorative techniques of fabric aesthetic finishing as a whole, and to provide practical data, help design thinking, and further contribute to the development of higher value-added products. To this end, this study was conducted in parallel with theoretical consideration and empirical research. First, through the analysis of decorative images and fashion cases examined based on theoretical considerations, six creative costumes were planned and produced by reorganizing them according to the flow of modern fashion using a design concept. As a result, it was confirmed that each aesthetic finishing technique is an effective decorative technique that is applied and harmonized to a part or all of the costume to create a new and unique surface effect and formative beauty, and to increase strong visual effects and luxury. Therefore, through this study, it is expected that it will help satisfy the aesthetic sense of consumers seeking high-end and individualization in the future. Therefore, in future research, it is necessary to expand and deal with the aesthetic finishing of fabrics in more depth, and it is expected that multifaceted research and development will continue.

• Journal of Nutrition and Health
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• 제36권3호
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• pp.319-326
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• 2003

The purposes of this study were to : (a) analyze the menus of food service operations using the menu analysis techniques of Kasavana & Smith, Miller, Merricks & Jones, Pavesic and Uman, (b) closely examine the characteristics of the five analysis techniques. Calculations for the menu analysis were done by computer using the MS 2000 Excel spreadsheet program. Menu mix% and unit contribution margin were used as variables by Kasavana & Smith, sales volume and food cost% by Miller, sales volume and cash contribution by Merrick & Jones, weighted contribution margin and food cost% by Pavesic, and total cash contribution and unit contribution margin by Uman. In each case, a four-cell matrix was created, and menu items were located in each according they achieved high or low scores with respect to two variables. Items that scored favorably on both variables were rated in the top category (e.g., star, prime, signature, group A, winner) and those that scored below average on both were rated in the lowest category (e.g., dog, problem, loser, group D, loser). While the 3 methods of Kasavana & Smith, Miller, Merrick & Jones focus on customers' viewpoints, the others consider the managers' viewpoints. Therefore, it is more likely to be desirable for decision-making on menus if the menu analysis technique chosen is suited to its purpose.

• KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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• 제4B권2호
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• pp.92-99
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• 2004

This paper intends to provide practical safety analysis methods and the criteria for method selections. A careful choice of safety analysis techniques will enhance the efficiency of the safety case process. A couple of recommendations are provided from practical experience.

• 융합보안논문지
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• 제12권1호
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• pp.79-87
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• 2012

미래인터넷은 현 인터넷 구조의 한계를 극복하여 미래의 새로운 요구사항을 수용하기 위해 Clean-slate에 기반을 둔 설계와 개발이 국내 외에서 활발히 이행되고 있다. 미래인터넷 관련 연구개발은 이미 미국, 유럽 등의 선진국에서 정부의 대규모 투자와 지원이 이루어져 미래인터넷 연구 프로그램이 추진되어 진행되고 있다. 미래인터넷의 세부 기술의 특성을 기준으로 인프라 기술, 아키텍처, 그리고 서비스 기술 분야로 구분된다. 우리나라는 특히, 인프라기술과 서비스 기술은 우위에 있는 분야이다. 이러한 기반 서비스를 미래 인터넷에 접목하기 위한 신뢰통신에 대한 연구 및 기술 개발은 경쟁력을 가질 수 있는 분야이다. 이에 본 논문에서는 미래인터넷을 위한 신뢰통신 참조모델 검증 기술 연구를 위해 미국 NSF 4개 과제에서 보안 기술 분석과 각 구조에서 보안 기능 분석에 대하여 설명한다.

• 종양간호연구
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• 제5권1호
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• pp.3-10
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• 2005

Back ground: Nurses now occupy one third of all hospital human resources. Therefore, efficient management of nursing manpower is getting more important. While it is very clear that nursing workload requirement analysis and patient severity classification should be done first for the efficient allocation of nursing workforce, these processes have been conducted manually with ad hoc rule. Purposes: This study was tried to make a predict model for patient classification according to nursing need. We tried to find the easier and faster method to classify nursing patients that can help efficient management of nursing manpower. Methods: The nursing patient classifications data of the hospitalized cancer patients in one of the biggest cancer center in Korea during 2003.1.1-2003.12.31 were assessed by trained nurses. This study developed a prediction model and analyzing nursing needs by data mining techniques. Patients were classified by three different data mining techniques, (Logistic regression, Decision tree and Neural network) and the results were assessed. Results: The data set was created using 165,073 records of 2,228 patients classification database. Main explaining variables were as follows in 3 different data mining techniques. 1) Logistic regression : age, month and section. 2) Decision tree : section, month, age and tumor. 3) Neural network : section, diagnosis, age, sex, metastasis, hospital days and month. Among these three techniques, neural network showed the best prediction power in ROC curve verification. As the result of the patient classification prediction model developed by neural network based on nurse needs, the prediction accuracy was 84.06%. Conclusion: The patient classification prediction model was developed and tested in this study using real patients data. The result can be employed for more accurate calculation of required nursing staff and effective use of labor force.

• Journal of Information Technology Applications and Management
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• 제25권1호
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• pp.19-32
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• 2018

Fake news is defined as the news articles that are intentionally and verifiably false, and could mislead readers. Spread of fake news may provoke anxiety, chaos, fear, or irrational decisions of the public. Thus, detecting fake news and preventing its spread has become very important issue in our society. However, due to the huge amount of fake news produced every day, it is almost impossible to identify it by a human. Under this context, researchers have tried to develop automated fake news detection method using Artificial Intelligence techniques over the past years. But, unfortunately, there have been no prior studies proposed an automated fake news detection method for Korean news. In this study, we aim to detect Korean fake news using text mining and machine learning techniques. Our proposed method consists of two steps. In the first step, the news contents to be analyzed is convert to quantified values using various text mining techniques (Topic Modeling, TF-IDF, and so on). After that, in step 2, classifiers are trained using the values produced in step 1. As the classifiers, machine learning techniques such as multiple discriminant analysis, case based reasoning, artificial neural networks, and support vector machine can be applied. To validate the effectiveness of the proposed method, we collected 200 Korean news from Seoul National University's FactCheck (http://factcheck.snu.ac.kr). which provides with detailed analysis reports from about 20 media outlets and links to source documents for each case. Using this dataset, we will identify which text features are important as well as which classifiers are effective in detecting Korean fake news.

• The Journal of Advanced Prosthodontics
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• 제6권6호
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• pp.498-504
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• 2014

PURPOSE. Dental implant has gained clinical success over last decade with the major drawback related to osseointegration as properties of metal (Titanium) are different from human bone. Currently implant procedures include endosseous type of dental implants with nanoscale surface characteristics. The objective of this review article is to summarize the role of nanotopography on titanium dental implant surfaces in order to improve osseointegration and various techniques that can generate nanoscale topographic features to titanium implants. MATERIALS AND METHODS. A systematic electronic search of English language peer reviewed dental literature was performed for articles published between December 1987 to January 2012. Search was conducted in Medline, PubMed and Google scholar supplemented by hand searching of selected journals. 101 articles were assigned to full text analysis. Articles were selected according to inclusion and exclusion criterion. All articles were screened according to inclusion standard. 39 articles were included in the analysis. RESULTS. Out of 39 studies, seven studies demonstrated that bone implant contact increases with increase in surface roughness. Five studies showed comparative evaluation of techniques producing microtopography and nanotopography. Eight studies concluded that osteoblasts preferably adhere to nano structure as compared to smooth surface. Six studies illustrated that nanotopography modify implant surface and their properties. Thirteen studies described techniques to produce nano roughness. CONCLUSION. Modification of dental osseous implants at nanoscale level produced by various techniques can alter biological responses that may improve osseointegration and dental implant procedures.