• Journal of Information Processing Systems
• /
• 제13권4호
• /
• pp.1014-1028
• /
• 2017

Social networking services (SNSs) such as Twitter, MySpace, and Facebook have become progressively significant with its billions of users. Still, alongside this increase is an increase in security threats such as cross-site scripting (XSS) threat. Recently, a few approaches have been proposed to detect an XSS attack on SNSs. Due to the certain recent features of SNSs webpages such as JavaScript and AJAX, however, the existing approaches are not efficient in combating XSS attack on SNSs. In this paper, we propose a machine learning-based approach to detecting XSS attack on SNSs. In our approach, the detection of XSS attack is performed based on three features: URLs, webpage, and SNSs. A dataset is prepared by collecting 1,000 SNSs webpages and extracting the features from these webpages. Ten different machine learning classifiers are used on a prepared dataset to classify webpages into two categories: XSS or non-XSS. To validate the efficiency of the proposed approach, we evaluated and compared it with other existing approaches. The evaluation results show that our approach attains better performance in the SNS environment, recording the highest accuracy of 0.972 and lowest false positive rate of 0.87.

• 한국해양공학회지
• /
• 제31권2호
• /
• pp.91-102
• /
• 2017

Recently, a new type of LNG membrane Tank called the "KC-1 membrane LNG Tank" was developed by KOGAS (Korean Gas Corporation). It is necessary to estimate the temperature distribution of the hull structure and insulation system for this new LNG tank, as well as the BOR (Boil-Off Rate) when exposed to outside temperature conditions to ensure the integrity of the tank structure and limit LNG evaporation, from a safety evaluation point of view. In this study, temperature distribution calculations for the hull structure and insulation system of the KC1 membrane tank were compared by employing four numerical approaches under the IGC condition. Approaches 1-3 studied 2D simulations and approach 4 used a 3D numerical simulation. Approach 1 was calculated by in-house Excel VBA codes and the three other approaches utilized ANSYS Fluent. The BOR of approach 4, the 3D simulation case, for the IGC condition was 0.0986%/day.

• Structural Engineering and Mechanics
• /
• 제34권2호
• /
• pp.247-275
• /
• 2010

In this study, experimental, numerical, and analytical approaches were carried out to evaluate the behavior and prestressing effect of prestressed composite beam by external tendon and cover plate. Behavior of prestressed composite beam, load-carrying capacity, effects of prestressing, and ultimate strength were estimated. The contribution of the section increase of the prestressing method using tendon was less than the prestressing method using cover plate. In accordance with numerical and analytical approaches, the ultimate strength of the prestressed composite beam is shown to be the same value because strength is determined according to the plastic resistance moment and the plastic neutral axis; however, both plastic resistance moment and neutral axis are not affected by prestressing force but affected by sectional stiffness of the prestressing member. Based on these approaches, we concluded that the prestressing method using tendon can be useful in applications without an increase in self-weight, and the prestressing method using high-strength cover plate can be applied to reduce the deflection of the composite beam. The prestressing method using high-strength cover plate can also be used to induce prestress of the composite beam in the case of a large deflection due to a smaller sectional stiffness of the composite beam.

• Smart Structures and Systems
• /
• 제29권1호
• /
• pp.141-151
• /
• 2022

In recent years, the industry and research communities have focused on developing autonomous crack inspection approaches, which mainly include image acquisition and crack detection. In these approaches, mobile devices such as cameras, drones or smartphones are utilized as sensing platforms to acquire structural images, and the deep learning (DL)-based methods are being developed as important crack detection approaches. However, the process of image acquisition and collection is time-consuming, which delays the inspection. Also, the present mobile devices such as smartphones can be not only a sensing platform but also a computing platform that can be embedded with deep neural networks (DNNs) to conduct on-site crack detection. Due to the limited computing resources of mobile devices, the size of the DNNs should be reduced to improve the computational efficiency. In this study, an architecture called pruned crack recognition network (PCR-Net) was developed for the detection of structural cracks. A dataset containing 11000 images was established based on the raw images from bridge inspections. A pruning method was introduced to reduce the size of the base architecture for the optimization of the model size. Comparative studies were conducted with image processing techniques (IPTs) and other DNNs for the evaluation of the performance of the proposed PCR-Net. Furthermore, a modularly designed framework that integrated the PCR-Net was developed to realize a DL-based crack detection application for smartphones. Finally, on-site crack detection experiments were carried out to validate the performance of the developed system of smartphone-based detection of structural cracks.

• 해양환경안전학회지
• /
• 제19권4호
• /
• pp.375-381
• /
• 2013

해상교통환경의 위험도를 평가하기 위해서는 위험도를 구성하고 있는 위험요소들을 명확히 식별하고, 식별된 위험요소들을 평가할 수 있는 기준을 마련하여야 한다. 한편 이러한 각 위험요소들의 위험수준의 합으로 전체 위험도를 나타낼 수 있으므로, 각 위험요소가 전체 위험도에서 차지하는 비중인 상대적 중요도가 분석되어야 한다. 본 연구는 선행연구에서 국내 외 해상교통환경 위험도 평가모델들의 검토를 통하여 제시된 국내 해상교통환경의 위험도를 구성하는 20가지 위험요소와 평가기준 및 해상교통전문가 집단에 의한 설문조사를 통하여 계층분석적 의사결정법으로 분석한 각 위험요소의 상대적 중요도를 바탕으로, 국내 목포항 및 그 진입수로에 대한 해상교통환경의 위험도를 평가하였다. 목포항 및 그 진입수로는 비교평가를 위하여 총 4개의 해역으로 구분하여 분석하였으며, 분석결과 위험요소 해수운동 복잡성 예인선 도선사 선박교통관제 등에서 위험수준이 높게 나타난 정등해 항로의 위험도가 가장 높게 평가되었다. 이러한 평가결과는 동일한 해역에서 본 연구와는 다른 정성적 혹은 정량적 위험도 분석기법을 이용한 연구들의 평가결과와 대체로 일치하였다.

• 한국전문물리치료학회지
• /
• 제25권1호
• /
• pp.53-61
• /
• 2018

Background: The process of language translation, adaptation, and cross-cultural validation of tools for use in multiple countries requires the adoption of well-established, comprehensive, and rigorous methodological approaches. Back translation, which is the most recommended method, permits the detection of errors in the translation and the identification of words or phrases that cannot be accurately or literally translated. Objects: The aim of this study was to verify the content validity of a Korean version of a Balance Evaluation Systems test (BESTest) by using a back-translation method. Methods: This research was conducted in six steps: 1) translation of the BESTest into Korean, 2) evaluation of the translation conformity of Korean-translated BESTest, 3) evaluation of the degree of translation comprehension, 4) back translation of Korean BESTest, 5) evaluation of the technical and conceptual equivalence, and 6) completion of the Korean version of BESTest by the translation verification committee. Results: In this study, Korean version of the BESTest achieved a rating of more than 3 (moderate) for translation comprehension, and technical equivalence and conceptual equivalence of back translation were evaluated as 3 (moderate) or more. Conclusion: The Korean version of the BESTest has proven content validity and is an appropriate tool to measure balance function.

• 간호행정학회지
• /
• 제18권2호
• /
• pp.222-233
• /
• 2012

Purpose: This study was conducted to develop an evaluation framework for QI activity in medical institutions and to analyze QI activity cases by applying the developed evaluation framework. Method: A four-phase process was employed to develop the evaluation framework, and a descriptive survey was used for the QI case study. Data were collected in April, 2010 by examining 157 QI activity cases presented at conferences and published in Journal of Korean Society of Quality Assurance in Health Care over the past three years. Developed QI activity evaluation instruments were used for data collection. Data were analyzed using the SPSS 18.0 for Windows program. Result: A QI Activity Evaluation Framework was developed. This framework consisted of 45 items. The department with the highest level of QI participation was the nursing department. The most frequent QI activity theme was patient safety. QI activity levels in Korean medical institutions are relatively equalized without significant differences according to institution characteristics. Conclusions: From the quality aspect of QI activity, more systematic and scientific approaches are required to upgrade QI activity. This study could provide methodological guidelines for QI activity and be useful in setting goals and directions for QI activity in medical institutions in Korea.

• 산업경영시스템학회지
• /
• 제38권2호
• /
• pp.17-30
• /
• 2015

Technology-oriented national R&D programs produce intellectual property as their final result. Patents, as typical industrial intellectual property, are therefore considered an important factor when evaluating the outcome of R&D programs. Among the main components of patent evaluation, in particular, the patent right quality is a key component constituting patent value, together with marketability and usability. Current approaches for patent right quality evaluation rely mostly on intrinsic knowledge of patent attorneys, and the recent rapid increase of national R&D patents is making expert-based evaluation costly and time-consuming. Therefore, this study defines a hierarchy of patent right quality and then proposes how to quantify the evaluation process of patent right quality by combining text mining and regression analysis. This study will contribute to understanding of the systemic view of the patent right quality evaluation, as well as be an efficient aid for evaluating patents in R&D program assessment processes.

• 한국전자통신학회논문지
• /
• 제8권12호
• /
• pp.1793-1802
• /
• 2013

음원분리 방법으로는 여러 가지가 제안되고 있으나 그 중에서도 주파수영역 두 귀 모델(Frequency Domain Binaural Model : FDBM)은 저 연산량과 울림 제거에 효과적이다. FDBM에 의한 두 귀 보청 시스템은 SNR이나 기여도 함수(Coherence function)에 의한 평가로 하기 때문에 인간의 청취특성을 고려하지 않고 있다. 본 논문에서는 음질의 문제 해결을 위하여 FDBM의 음원분리 성능평가를 하였다. SNR, 기여도 함수, PESQ의 세 가지 수법을 이용하여 기본 특성에 대하여 시뮬레이션을 통하여 확인하였다. 모든 결과가 FDBM에 의해 좌우 채널간 평가치의 차가 작게 되었고, 좌우 채널이 거의 같은 레벨까지 개선되었음을 확인하였다. 그리고 음원방향을 바꾸고 음원 수를 증가시킨 경우에도 일정한 개선이 보였다. SNR과 기여도 함수, PESQ의 결과를 비교하면 PESQ의 평가에서는 입력 SNR를 변동시킨 경우에도 거의 모든 조건에서 분리에 의한 평가가 개선되었다.

• 대한가정학회지
• /
• 제44권11호
• /
• pp.35-42
• /
• 2006

A criticism model for dress was developed to offer a methodological insight into research on aesthetics of dress. Concepts from Edmund B. Feldman's art criticism model, James D. Carney's style-relative model of art criticism, and Sung Bok Kim's fashion criticism model were borrowed and integrated to create a criticism model for dress, comprising identification of styles, descriptive features, aesthetic value features, external interpretation, socio-cultural interpretation, and evaluation. Both inductive and deductive approaches for the identification of styles can be made in the process of dress criticism. In the former case, descriptive features and aesthetic features are sequentially identified to locate the styles of dress. In the latter case, styles are identified first, and descriptive features and aesthetic features are identified accordingly. Logical criticisms can be made based on the critics' background knowledge of the history of dress and art.