• 한국정보시스템학회지:정보시스템연구
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• 제24권3호
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• pp.1-19
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• 2015

Purpose This study discusses the contradictory behavior of smart-phone users who consider security is important, but they do not follow the security recommendations. We found through literature research that this contradictory behavior is resulted from a low level of efficacy. Design/methodology/approach Research hypotheses were set based on Extended Parallel Process Model, Control Theory, and Self Efficacy Mechanism. The data were collected from undergraduate students. Total of 178 data were used for the analysis. Findings Results of the analysis, first, showed that the relationship between threat and security attitude varies with the level of coping efficacy. Second, showed that the relationship between threat and fear does not vary with the level of coping efficacy. Both the groups with high coping efficacy and low coping efficacy had a statistically significant effect on the relationship between threat and fear.

• Journal of information and communication convergence engineering
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• 제18권1호
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• pp.49-54
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• 2020

Speed enforcement is one of the major challenges in traffic safety. The increasing number of accidents and fatalities has led governments to respond by implementing an intelligent control system. For example, the Korean government implemented a speed camera system for maintaining road safety. However, many drivers still engage in speeding behavior in blackspot areas where speed cameras are not provided. Therefore, we propose a methodology to analyze the combined accident and speeding data to offer recommendations to maintain traffic safety. We investigate three factors: "section," "existing speed camera location," and "over speeding data." To interpret the results, we used the QGIS tool for visualizing the spatial distribution of the incidents. Finally, we provide four recommendations based on the three aforementioned factors: "investigate with experts," "no action," "install fixed speed cameras," and "deploy mobile speed cameras."

• Management Science and Financial Engineering
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• 제11권3호
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• pp.137-153
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• 2005

Collaborative filtering-based recommendation systems make personalized recommendations based on users' ratings on products. Recommender systems must collect sufficient rating information from users to provide relevant recommendations because less user rating information results in poorer performance of recommender systems. To learn about new users, recommendation systems must first present users with an initial item list. In this study, we designed and analyzed seven selection strategies including the popularity, favorite, clustering, genre, and entropy methods. We investigated how these strategies performed using MovieLens, a public dataset. While the favorite and popularity methods tended to produce the highest average score and greatest average number of ratings, respectively, a hybrid of both favorite and popularity methods or a hybrid of demographic, favorite, and popularity methods also performed within acceptable ranges for both rating scores and numbers of ratings.

• 감성과학
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• 제5권4호
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• pp.11-32
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• 2002

이 논문은 피로, 졸음, 각성, 기분 등과 같은 운전자 상태의 다양한 측면을 측정하기 위해 지상교통 분야에서 사용되어온 주관적 척도들을 평가한다. 구체적으로, 대표적인 주관적 측정 방법인 Epworth Sleepiness Scale, Karolinska Sleepiness Scale, Pearson and Byars Fatigue Checklist, Stanford Sleepiness Scale, Stress-Arousal Checklist 와 NPRU Mood Scale등이 신뢰성, 타당성, 민감성과 응용을 위한 적절성의 측면에서 비교 및 대조된다. 결론에서 이러한 주관적 척도들을 지상교통 분야에 응용하기 위한 제언이 논의된다.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2004년도 추계학술대회 및 정기총회
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• pp.430-460
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• 2004

This study presented a personalization system that adopted a methodology which is applicable for digital content recommendation and executed by the Internet service providers. The system made a recommendation to the users on the basis of their preferences, while most techniques for recommending digital content have focused on considering the similarity of content. In addition, it developed a method of evaluation to determine the priority of recommendations and adopted measures when selecting a set of recommendations. To experiment the feasibility and effectiveness of the presented methodology, a prototype system was developed and was applied to an English newspaper on the Internet.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2002년도 춘계학술대회 논문집
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• pp.342-351
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• 2002

A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been known to be one of the most successful recommendation methods, but its application to e-commerce has exposed well-known limitations such as sparsity and scalability, which would lead to poor recommendations. This paper suggests a personalized recommendation methodology by which we are able to get further effectiveness and quality of recommendations when applied to an Internet shopping mall. The suggested methodology is based on a variety of data mining techniques such as web usage mining, decision tree induction, association rule mining and the product taxonomy. For the evaluation of the methodology, we implement a recommender system using intelligent agent and data warehousing technologies.

• 안보군사학연구
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• 통권8호
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• pp.421-465
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• 2010

Passwords are used in many ways to protect data, systems, and networks. Passwords are also used to protect files and other stored information. In addition, passwords are often used in less visible ways for authentication. In this article, We provides recommendations for password management, which is the process of defining, implementing, and maintaining password policies throughout an enterprise. Effective password management reduces the risk of compromise of password-based authentication systems. Organizations need to protect the confidentiality, integrity, and availability of passwords so that all authorized users - and no unauthorized users - can use passwords successfully as needed. Integrity and availability should be ensured by typical data security controls, such as using access control lists to prevent attackers from overwriting passwords and having secured backups of password files. Ensuring the confidentiality of passwords is considerably more challenging and involves a number of security controls along with decisions involving the characteristics of the passwords themselves.

• 생명과학회지
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• 제17권6호통권86호
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• pp.867-872
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• 2007

The aging is related to numerous changes in our body system which declines functional ability. The functional ability in advanced age can be evaluated by the 4 components of fitness (cardiorespiratory endurance, muscular strength and endurance, flexibility and body composition). The understanding and knowledge of changing 4 components of fitness and the role of exercise on the process of aging is of paramount importance. Despite exercise and physical activity have been shown to delay the process of aging, the exercise guidelines and recommendations for old adults are not well published. This review is to presents the age-related changes in each component of fitness and to present current guidelines and recommendations for exercise in older adults.

• 산업공학
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• 제13권4호
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• pp.688-693
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• 2000

We analyze IS0 9001 audit data and add-on requirements data collected by leader assessors from three leading Korean furniture companies for around three years. We plot a Pareto chart and test the homogeneities for the number of non-compliances and improvement notes across companies. We also fit the data to a loglinear model. Some recommendations with regard to add-on requirements are suggested. The recommendations should be added to IS0 9001 requirements to specifically implement an efficient QMS in Korean furniture industry.

• 정보관리연구
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• 제26권4호
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• pp.1-27
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• 1995

정보사회에서의 통신서비스는 정보교환의 중요한 매체이며 이러한 통신서비스의 정보화란 그 사회 모든 부분에 통신서비스를 통한 정보의 교환이 가능해짐을 의미한다. 본 연구는 통신서비스 정보화의 이론적 토대 위에 우리나라 통신서비스의 역사 및 현황을 살펴보고 분석한 뒤, 그 분석을 바탕으로 개선 방향을 제시하고 있다.