• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권2호
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• pp.830-842
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• 2015

Trust and trustworthiness of web services and organizations is calculated as scalar values. But there is still a certain level of risk for the overall reliability of this value. In this article, we focus on calculating trust values as intervals between upper and lower bounds based on predefined confidence values through an additional confidence probability. This will give us a more realistic approach to the trust assessments between individuals and organizations. We also developed a web-based software tool, TAST (Trust Assessment Software Tool) that collects the web services' evaluation of different customer groups for similar organizations through the user interface and calculates the trust intervals for predefined and previously selected confidence values. Our model uses a weighted calculation of mean and variances of customer groups in specific periods and analyses the total and incremental trust of different customer groups.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 추계학술대회 논문집
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• pp.1-5
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• 2007

An electric motor unit (EMU) is manufactured from a large number of components and parts which are made of extensive raw materials. In emits much environmental load throughout its entire life cycle, having both complicated and elaborated system and long period of life time. Therefore, it is necessary to investigate the methodologies and tools to analyze the environmental performance of EMUs throughout their life cycle. RACE (Rail Assessment for Clean Environment) developed in this study is the software that can analyze the environmental impacts and eco-efficiency of EMUs, which are new concepts proposed for sustainable development. It has database for main components as well as principal materials contained in EMUs. Manufacturers and operators can use it to assess the life-cycle environmental impacts of EMU and support their decision making. RACE can also be used as a tool for environmental communication between manufacturers and operators.

• 인터넷정보학회논문지
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• 제12권5호
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• pp.39-46
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• 2011

보안 시스템에서 사용자 인증은 필수적이며 가장 중요한 절차 중의 하나이다. 대개의 사용자 인증은 키보드를 통한 문자기반의 패스워드를 이용하여 이루어지므로 키보드 정보의 보호는 무엇보다 중요하다[7][8]. 이러한 이유로 키보드 보호를 위한 소프트웨어들이 주요 사이트에 적용되어 있다. 본 논문은 현재 보편적으로 사용되고 있는 USB 키보드의 취약점을 소개하고 이를 이용하는 예제 코드를 구현하여 키보드 보안 소프트웨어가 실행되고 있는 상황에서의 키보드 데이터의 탈취 가능성을 진단한다. 또한 결과의 비교를 통하여 해당 취약점에 대응하기 위한 보안 대책을 제안한다.

• Nuclear Engineering and Technology
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• 제33권6호
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• pp.596-604
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• 2001

This paper quantitatively presents the effects of important factors of the probabilistic safety assessment (PSA) of safety-critical digital systems. The result which is quantified using fault tree analysis methodology shows that these factors remarkably affect the system safety. In this paper we list the factors which should be represented by the model for PSA. Based on the PSA experience, we select three important factors which are expected to dominate the system unavailability. They are the avoidance of common cause failure, the coverage of fault tolerant mechanisms and software failure probability. We Quantitatively demonstrate the effect of these three factors. The broader usage of digital equipment in nuclear power plants gives rise to the safety problems. Even though conventional PSA methods are immature for applying to microprocessor-based digital systems, practical needs force us to apply it because the result of PSA plays an important role in proving the safety of a designed system. We expect the analysis result to provide valuable feedback to the designers of digital safety- critical systems.

• 한국멀티미디어학회논문지
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• 제22권1호
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• pp.110-116
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• 2019

Virtual reality (VR) sickness can have an influential effect on the viewing quality of VR 3D contents. Particularly, watching the 3D contents on a head-mounted display (HMD) could cause some severe level of visual discomfort. Despite the importance of assessing the VR sickness, most of the recent studies have focused on unveiling the reason of inducing VR sickness. In this paper, we subjectively measure the level of VR sickness induced in the viewing of omnidirectional 3D graphics contents in HMD environment. Apart from that, we propose an objective assessment model that estimates the level of induced VR sickness by calculating the difference between head movement velocity and global camera motion velocity.

• 한국소프트웨어감정평가학회 논문지
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• 제17권2호
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• pp.125-142
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• 2021

Reports of rampant cross-site scripting (XSS) vulnerabilities raise growing concerns on the effectiveness of current Static Analysis Security Testing (SAST) tools as an internet security device. Attentive to these concerns, this study aims to examine seven open-source SAST tools in order to account for their capabilities in detecting XSS vulnerabilities in PHP applications and to determine their performance in terms of effectiveness and analysis runtime. The representative tools - categorized as either text-based or graph-based analysis tools - were all test-run using real-world PHP applications with known XSS vulnerabilities. The collected vulnerability detection reports of each tool were analyzed with the aid of PhpStorm's data flow analyzer. It is observed that the detection rates of the tools calculated from the total vulnerabilities in the applications can be as high as 0.968 and as low as 0.006. Furthermore, the tools took an average of less than a minute to complete an analysis. Notably, their runtime is independent of their analysis type.

• 한국소프트웨어감정평가학회 논문지
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• 제17권1호
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• pp.93-99
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• 2021

최근 COVID-19 등의 영향으로 온라인 교육에 대한 요구가 급증하고 있다. 공학계열의 온라인 교육에 있어 가장 큰 어려움 중의 하나는 실험관련 교과목을 어떻게 효율적으로 온라인상에서 수행할 수 있느냐는 것이다. 본 연구에서는 전기전자정보통신 분야 교육에서 필수적으로 요구되는 마이크로컨트롤러 응용 학습을 위해 사용할 수 있는 가상실험 시스템 구축을 위해 반드시 필요한 마이크로컨트롤러 기능 모델링에 대해 기술하고, 자바언어로 구현하여 가상 실험에 적용함으로써 그 유용성을 검증하였다.

• 한국소프트웨어감정평가학회 논문지
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• 제17권1호
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• pp.59-66
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• 2021

Recently, conceptual information model is changing fast, and these changes are coming about as a result of individual tendency, social cultural, new circumstances and societal shifts within big data environment. Despite the data is growing more and more, now is the time to commit ourselves to the development of renewable, invaluable information of social/live commerce. Because we have problems with various insoluble data, we propose about deep learning prediction model-based object classification in social commerce of big data environment. Accordingly, it is an increased need of social commerce platform capable of handling high volumes of multiple items by users. Consequently, responding to rapid changes in users is a very significant by deep learning. Namely, promptly meet the needs of the times, and a widespread growth in big data environment with the goal of realizing in this paper.

• 한국소프트웨어감정평가학회 논문지
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• 제8권2호
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• pp.45-51
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• 2012

본 논문은 SOA 보안 취약점을 분석하기 위해 서비스 계층 구조상의 특징을 고려하여 취약점을 식별하고 평가한다. 제안된 분석방법은 모델기반 접근방법으로써, 안전한 서비스 모델을 도출하기 위해, 비즈니스 모델에서 보안요구사항을 표현하는 방법과 서비스의 취약점 식별 과정을 정의한다. 분석적 검증을 통해 제안된 방법이 유용성을 평가하였다.

• 조명전기설비학회논문지
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• 제21권10호
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• pp.134-140
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• 2007

최근 전력기기 및 전력시스템 기준이 수적인 면과 복잡성에 있어 증가되고 있다. 이에 부하의 왜곡에서 고조파 방출 한계를 평가하기 위한 우리나라 송전계통 기준을 소개하였다. 시간적 제약이 증가하는 조건아래 전력회사 실무자들은 빠르게 문제를 풀기 위하여 소프트웨어로 구성하기가 매우 복잡하다. 따라서 본 논문에서는 마이크로소프트 엑셀을 이용하여 실무자들이 실제적인 상황에서 이러한 기준을 즉시 적용할 수 있도록 하기 위한 방법을 표현하였다.