• Korean Journal of Environment and Ecology
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• v.3 no.1
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• pp.95-106
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• 1989

This paper presented the baseline data to establish visitor management strategy for Kayasan National Park by examining visitor's socio-economic charateristics and use pattern. The user's composition showed that high school or more graduated twenties(20-29 ages) males were respectively domainant. Their activities were, in main, multi-purpose type participated in climbing, camping or picnic, after visiting to the Haein temple. In use pattern, summer visitors were mainly concentrated in and around Haein temple and Hongnyudong valley. But autumn visitors were especially concentrated in Haein temple area.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.2
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• pp.335-343
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• 2014

It is more important to ensure the credibility of internet media which influence the public opinion. However, there are vague suspicions in public from the examples of manipulation of online reviews with anonymity. In this study, we explore the possibility of manipulating public opinion in online web sites. We investigate the characteristics of comments posted by users on web sites and compare each comments by using the cosine similarity function. Our result shows followings. First, we found a correlation between the similarities of comments and the article ranks in the web sites. Second, it is possible to identify abnormal user activities indicating excessive multiple posting, double posting and astroturf activities.

• Annual Conference of KIPS
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• 2018.10a
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• pp.759-762
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• 2018

최근 들어 점차 지능형 서비스 로봇들이 인간의 실생활 속으로 들어옴에 따라, 로봇 스스로 다양한 물체들을 효과적으로 조작할 수 있는 지식을 습득하는 기계 학습 기술들이 매우 주목을 받고 있다. 전통적으로 로봇 행위 학습 분야에는 강화 학습 혹은 심층 강화 학습 기술들이 주로 많이 적용되어 왔으나, 이들은 대부분 물체 조작 작업과 같이 다차원 연속 상태 공간과 행동 공간에서 최적의 행동 정책을 학습하는데 여러가지 한계점을 가지고 있다. 따라서 본 논문에서는 전문가의 데모 데이터를 활용해 보다 효율적으로 물체 조작 행위들을 학습할 수 있는 모방 학습과 강화 학습의 통합 프레임워크를 제안한다. 이 통합 프레임워크는 학습의 효율성을 향상시키기 위해, 기존의 GAIL 학습 체계를 토대로 PPO 기반 강화 학습 단계의 도입, 보상 함수의 확장, 상태 유사도 기반 데모 선택 전략의 채용 등을 새롭게 시도한 것이다. 다양한 성능 비교 실험들을 통해, 본 논문에서 제안한 통합 학습 프레임워크인 PGAIL의 우수성을 확인할 수 있었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.11
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• pp.2083-2089
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• 2007

In this paper addresses the low-level behavior of fuzzy control and the high-level behavior selector for Autonomous Mobile Robots(AMRs) based on a Fuzzy Artificial Immune Network. The sensing information that comes from ultrasonic sensors is the antigen it, and stimulates antibodies. There are many possible combinations of actions between action-patterns and external situations. The question is how to handle the situations to decide the proper action. We propose a fuzzy artificial immune network to solve the above problem. and the computer simulation for an AMR action selector shows the usefulness of the proposed action selector.

• Journal of Korean Philosophical Society
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• v.126
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• pp.377-401
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• 2013

일반적으로 성리학에서는 개인의 이익보다 도덕적 선택을 우선하라고 요구한다. 그러나 "주역"에서는 결코 이익을 죄악시 하지 않는다. 이 글은 성리학자이면서 역학자인 주자의 이익과 도덕에 대한 입장을 추적하는 연구이다. 주자가 소옹의 결정론적 세계관과 도덕적 자유의지를 강조하는 이천의 관점을 결합함으로써 완성하고자 한 것은 "주역"의 서(筮) 속에서 리(理)를 확인할 수 있다는 것이었다. 점서(占筮)의 결과가 그렇게 나오는 것은 그에 해당하는 이치가 있기 때문이라는 말이다. 그런데 "주역"의 리(理) 즉 역리(易理)란 오랜 경험과 관찰을 통해 확보된 사회적 존재로서 인간의 심리적 행위적 경향성의 총합이다. 그리고 그 구체적인 내용은 바로 상황적 합리성과 타자와의 조화로움이다. 이 리(理)는 우주와 사회의 정해진 질서로서 우리에게 주어진다. 개인은 이 주어진 질서에 따를 수 있는 자유와 함께 따르지 않을 수 있는 자유를 지닌다. 때문에 정해진 질서와 그 속에서의 개인의 자유의지는 양립가능한 것으로 받아들여지고, 그런 의미에서 주자는 약한 결정론자라고 할 수 있다. 성리학은 우주의 질서로부터 부여받은 당위의 법칙에 자발적으로 동의할 것을 요구한다. 그것이 가장 올바른 선택이면서 동시에 자신에게 가장 이로운 선택이기 때문이다. 주자는 상황적 합리성과 타자와의 조화로운 관계에서만이 자신의 진정한 이익을 추구할 수 있다고 생각한다. 타자와의 유기적 관계를 부정하고 유아적(唯我的) 이익만 추구하려는 자는, 사회적 존재로서 인간이 지니는 심리적 행위적 경향성을 무시한 어리석은 자이다. 이렇게 주자에게서 이익[리(利)]은 상황적 합리성[의(宜)]이 되고 또 그것은 바로 도덕[의(義)]이 된다. 참다운 의미에서의 합리적인 판단은 도덕적 선택을 불러온다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.161-164
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• 2014

Todays, many public institutes and corporations are constructing smart-works centers with high tech remote task system. In spite of the strong points on the smart works system, these can cause techno-stress on users. In this point, this paper is to understand the effect of dealing activities against techno-stress on smart-works performance in smart works environments. While many studies on ICT and information system have been focusing on performance, it is considering personal factors to impede system success and performance.

• International Area Studies Review
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• v.20 no.1
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• pp.79-104
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• 2016

This paper investigates the impact and behavior of foreign equity investment in Asian emerging economies during the 2007-2008 and the 2010-2012 global financial crises in terms of volatility and return. The empirical results indicate that foreign investors show positive feedback trading behavior in the sample countries. We find evidence that foreign investors' net selling behavior significantly increases market volatility in most countries.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.1
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• pp.61-71
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• 2021

Instant messengers are a means of communication for modern people and can be used with smartphones and PCs respectively or connected with each other. Messengers, which provide various functions such as message, call, and file sharing, contain user behavior information regarded as important evidence in forensic investigation. However, it is difficult to analyze as well as acquire smartphone data because of the security of smartphones or apps. However, messenger data can be extracted through PC when the messenger is used on PC. In this paper, we obtained the credential data of Wire messenger in Windows 10, and showed that it is possible to log-in from another PC without authentication. In addition, we identified and classified major artifacts generated based on user behavior.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.3
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• pp.22-29
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• 2009

In previous work, anomaly-based intrusion detection techniques have been widely used to effectively detect various intrusions into a computer. This is because the anomaly-based detection techniques can effectively handle previously unknown intrusion methods. However, most of the previous work assumed that the normal network connections are fixed. For this reason, a new network connection may be regarded as an anomalous event. This paper proposes a new anomaly detection method based on an association-mining algorithm. The proposed method is composed of two phases: intra-packet association mining and inter-packet association mining. The performances of the proposed method are comparatively verified with JAM, which is a conventional representative intrusion detection method.

• Journal of muscle and joint health
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• v.30 no.2
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• pp.138-146
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• 2023

Purpose: The purpose of this study was to examine knowledge, health beliefs and health promoting behavior about osteoporosis in working women in their 20s and 30s. Methods: A survey was conducted among working women in their 20s and 30s who visited the health promotion center of B Medical Center in B Metropolitan City. The data were collected from December 2021 to March 2022 using structured self-reported questionnaires. SPSS/WIN 25.0 program was used to analyze the data. Results: Factors influencing health promoting behavior about osteoporosis in women in their 20s and 30s were in the order of "good" subjective health status (β=.47, p<.001), "moderate" subjective health status (β=.36, p<.001) and knowledge (β=.18, p=.015). These factors explained 12.4% of health promoting behaviors about osteoporosis. Conclusion: The results indicate the need to develop and implement healthcare programs that can improve the health status and provide knowledge to improve health promoting behavior about osteoporosis in women in their 20s and 30s.