• Journal of the Korea Institute of Information Security & Cryptology
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• v.15 no.4
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• pp.39-50
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• 2005

An evaluation demand and a market growth regarding evaluation and certification are increasing because the importance of information Security is gradually rising to solve the information disfunction. Therefore, it is necessary the cost-effect evaluation management of the Information Security System(ISS). In this paper, we propose the Semi-automated Evaluation Workflow Management System(Sa-EWMS) based on the Common Criteria(CC) which performs and manages evaluation work through the procedure when evaluator evaluates the Information Security System(ISS). The Sa-EWMS is solving a problem of consumption of time and effort and performing efficient evaluation, it is playing a significant role that traces workflow process of each work of the Engines and controls performance. It will be able to use useful the private evaluation enterprise which confront in an evaluation demand and a market growth.

• Journal of the Korea Computer Graphics Society
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• v.28 no.2
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• pp.11-19
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• 2022

Recently, various researches on medical image generation have been suggested, and it becomes crucial to accurately evaluate the quality and diversity of the generated medical images. For this purpose, the expert's visual turing test, feature distribution visualization, and quantitative evaluation through IS and FID are evaluated. However, there are few methods for quantitatively evaluating medical images in terms of fidelity and diversity. In this paper, images are generated by learning a chest CT dataset of non-small cell lung cancer patients through DCGAN and PGGAN generative models, and the performance of the two generative models are evaluated in terms of fidelity and diversity. The performance is quantitatively evaluated through IS and FID, which are one-dimensional score-based evaluation methods, and Precision and Recall, Improved Precision and Recall, which are two-dimensional score-based evaluation methods, and the characteristics and limitations of each evaluation method are also analyzed in medical imaging.

• The Bulletin of The Korean Astronomical Society
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• v.37 no.2
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• pp.150.1-150.1
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• 2012

학자의 연구능력과 성과를 질적인 면을 포함하여 제대로 가늠하지 못하는 사회에서는 대신 몇몇 평가지표가 등장하는데, 한국에서는 영향력지수(Impact Factor)와 함께 많이 사용되는 것이 Nature와 Science 저널에 실린 논문이다. 두 저널은 과학의 전 분야를 대상으로 하며, 영향력지수가 25-35점으로 다른 저널(예: Astrophysical Journal ~6점)보다 월등히 높아 세간에서 '매우 좋은' 저널로 불리며, 여기에 실리는 논문이 '뛰어난' 논문으로 평가되고 있다. 우리는 2006-2010년의 5년간 두 저널에 실린 논문의 통계를 분석하였다. 전체 논문의 수는 7788편이며 생명과학 논문이 62.4%, 물리과학 논문이 37.0%를 차지한다. 천문학 논문의 수는 544편인데, 이는 전체 논문 중에는 7.0%를 차지하고 물리과학 논문 중에는 18.9%를 차지한다. 평균적으로 매년 Nature에는 약 64편, Science에는 약 45편의 천문학 논문이 실렸다. 천문학 논문들의 경우 세부 분야별 논문의 비율과 사용한 장비의 분포를 조사하였다. 전체 논문 중 국내의 한국인 저자가 포함된 논문은 86편인데 이는 전체 논문 중 1.10%에 해당한다. 이들의 물리(25.6%), 화학(16.3%), 생명과학(29.1%), 지구과학(12.8%), 공학(16.3%) 분야별 비율을 구했다. 천문학 분야의 국내 한국인 저자 논문은 7편에 해당한다. 본 발표에서는 우리가 구한 여러 가지 통계치와 시사점을 제시하고자 한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.335-345
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• 2024

In the digital era, data security has become an increasingly critical issue, drawing significant attention. Particularly, anti-tampering technology has emerged as a key defense mechanism against indiscriminate hacking and unauthorized access. This paper explores case studies that exemplify the trends in the development and application of TPM (Trusted Platform Module) and software anti-tampering technology in today's digital ecosystem. By analyzing various existing security guides and guidelines, this paper identifies ambiguous areas within them and investigates recent trends in domestic and international research on software anti-tampering. Consequently, while guidelines exist for applying anti-tampering techniques, it was found that there is a lack of methods for evaluating them. Therefore, this paper aims to propose a comprehensive and systematic evaluation framework for assessing both existing and future software anti-tampering techniques. To achieve this, it using various verification methods employed in recent research. The proposed evaluation framework synthesizes these methods, categorizing them into three aspects (functionality, implementation, performance), thereby providing a comprehensive and systematic evaluation approach for assessing software anti-tampering technology in detail.

• The KIPS Transactions:PartB
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• v.17B no.1
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• pp.93-98
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• 2010

In this paper, we introduce a system that summarizes product evaluation through linguistic analysis to effectively utilize explosively increasing product reviews. Our system analyzes polarities of product reviews by product features, based on which customers evaluate each product like 'design' and 'material' for a skirt product category. The system shows to customers a graph as a review summary that represents percentages of positive and negative reviews. We build an opinion word dictionary for each product feature through context based automatic expansion with small seed words, and judge polarity of reviews by product features with the extracted dictionary. In experiment using product reviews from online shopping malls, our system shows average accuracy of 69.8% in extracting judgemental word dictionary and 81.8% in polarity resolution for each sentence.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.3
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• pp.287-292
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• 2015

The aim of this study was to provide a method to assume the value of the continuous and possible management part to investigate the relationship between component of evaluation of Disaster Management and Sustainability Management in enterprise by obtaining Fuzzy Relation Matrix in view of necessity and possibility when there are new data. The index of Disaster Management was yielded from 100 small and medium-sized enterprises for 4 component of evaluations of based on ISO standard, and that of Sustainability Management was obtained from same enterprises for 6 component of evaluations in GRI G4 version of Sustainability Management guideline. The above results suggest that this model is significant by using 80 data as a training data and 20 data as a checking data from the 100 data obtained in this study.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.9
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• pp.2038-2044
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• 2011

Serious games are selected by users according to the original goals such as education, treatment, training and so on. Therefore, those type of games are evaluated inside and outside the game about whether the goals are archived or not. Among quality test elements of serious game, assessment is about whether, in games, ability to verify goal achievement is included or not. In this paper, we examined the achievement-assessing function of serious game through several cases. Furthermore, to utilize for developing serious games for English learning, we designed a level system which achievement-assessing function is applied to. In this level system, we used 'competition and reward' as the core elements of game, and designed the system through simulation of which grades are level-designed along the user's English proficiency level based on notice of MEST(Ministry of Education, Science and Technology). This paper is expected to be useful reference for designing English learning game containing achievement assessing function.

• Journal of KIISE:Software and Applications
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• v.31 no.1
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• pp.82-88
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• 2004

Comparing many programs like programming assignments one by one requires many costs. Moreover, if the checker would evaluate or grade assignments, much more time will be required. Even through the checker invest much time, fairness is not always guaranteed. These problems can be solved easily by grouping similar programs. So, programs after grouping can be easily evaluated and graded. In this paper, we propose and implement algerian performing grouping by similarity on many programs. The grouping algorithm evaluates similarity using algorithm proposed in (9), and performs a grouping following high similarity order. By using this grouping algorithm, the number of comparison among N programs can be reduced from N-1 times to N(N-1)/2 times. In the part of experiment and evaluation of this paper, we actually showed evaluation result by similarity using randomly 10 programming assignments at the university.

• Journal of KIISE:Computing Practices and Letters
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• v.12 no.6
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• pp.349-357
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• 2006

We introduce a new performance evaluation methodology that helps programmers evaluate different tuning alternatives in order to improve program performance. This methodology permits measuring performance implications of using tuning alternatives. Specifically, the methodology predicts performance after workload migration for a distributed or parallel program in contrast to traditional performance methodlogies that quantify time spent in program components for bottleneck identification. The methodology thus provides guidance on workload migration. The methodology also permits predicting the performance impact of changing the underlying network. The methodology may evaluate performance incrementally and online during the execution of the program to be tuned. We show that our methodology, when it is implemented and used, permits accurately predicting the performance of different tuning alternatives for a test suite of six programs.

• Journal of the Korean Data and Information Science Society
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• v.25 no.4
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• pp.857-868
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• 2014

Data mining is the representative analysis methodology in the era of big data, and is the process to analyze a massive volume database and summarize it into meaningful information. Association rule technique finds the relationship among several items in huge database using the interestingness measures such as support, confidence, lift, etc. But these interestingness measures cannot be used to establish a causality relationship between antecedent and consequent item sets. Moreover, we can not know association direction by them. This paper propose causally confirmed association thresholds to compensate for these problems, and then check the three conditions of interestingness measures. The comparative studies with basic association thresholds, causal association thresholds, and causally confirmed association thresholds are shown by simulation studies. The results show that causally confirmed association thresholds are better than basic and causal association thresholds.