• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.172-174
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• 2001

침입 탐지란 컴퓨터와 네트워크 지원에 대한 유해한 침입 행동을 식별하고 대응하는 과정이다. 점차적으로 시스템에 대한 침입 유형들이 복잡해지고 전문적으로 이루어지면서 빠르고 정확한 대응을 할 수 있는 시스템이 요구되고 있다. 이에 따라, 대용량의 데이터를 지능적으로 분석하여 의미있는 정보를 추출하는 데이터 마이닝 기법을 적용함으로써 지능적이고 자동화된 탐지를 수행할 수 있도록 한다. 본 논문에서는 학습 데이터를 각각 사례로 데이터베이스에 저장한 후, 실험 데이터가 입려되면 가장 가까운 거리에 있는 학습 데이터의 크래스로 분류하는 사례 기반 학습을 이용하여 빠르게 사용자의 이상 행위에 대해 판정한다. 그러나 많은 사례로 인해 기억 공간이 늘어날 경우 시스템의 성능이 저하되는 문제점을 고려하여, 빈발 에피소드 알고리즘을 수행하여 발견한 순차 패턴을 사례화하여 정상 행위 프로파이로 사용하는 순차패턴에 대한 사례 기반 학습을 제안한다. 이로써, 시스템 성능의 저하율을 낮추고 빠르며 정확하게 지능적인 침입 탐지를 수행할 수 있다.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.370-377
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• 2015

Organizational trust (OT) plays a substantial role to attain competitive advantages. It is an effective way to enhance organizational effectiveness. OT makes employees to have a positive emotion toward a firm, also it contributes employees to bring a spontaneous behavior. The purpose of this study is to investigate the relationships among OT, organizational commitment (OC), and organizational citizenship behavior (OCB) theoretically and empirically. A total of 228 cases in 15 Chinese companies are used for empirical analysis. The results show that OT has a positive effect on OC and OCB. It is suggested that OT is an important variable to improve emotional and continuance commitment. Also the results reveal that OCB is a meaningful dependent factor that is affected by OC.

• Proceedings of the Korea Society of Design Studies Conference
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• 1998.04a
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• pp.6-7
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• 1998

• Annual Conference on Human and Language Technology
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• 1991.10a
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• pp.139-146
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• 1991

한글 필기행동에서 나타나는 실수들을 분석하였다. 단어이하의 수준에서 오철(spelling error)와 오기(slips of the pen)가 관찰되었다. 오철은 부분적인 철자지식에 기인하는 것으로, 음소를 철자로 변환하는 과정에 영향을 받는 것임을 시사하는 사례가 발견되었다. 오기에는 지속 예기 생략 등이 있었으며, 철자정보를 운동패턴으로 변환하는 과정에서 나타나는 것 같았다. 또한 획과 관련된 실수들도 발견되었다. 전반적으로 필기과정에는 발음관련정보의 영향이 큰 것을 부정할 수 없었다.

• Information Systems Review
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• v.15 no.2
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• pp.111-127
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• 2013

This research introduces a case of NFC (Near Field Communication)-based exhibition support system for analyzing visitors' POB (Point of Behavior) data gathered from the system. The application of NFC technology to an exhibition space allows visitors new experiences of exposition and exhibitors to collect and analyze data about behaviors of visitors. The NFC-based exhibition support system is applied to the 'Korea Travel Expo 2013.' The visitors' behaviors are analyzed based on collected NFC tag touch data and association rules among booths are extracted. Furthermore, the tag touch data are integrated with the survey data for catching the demographics-based implications.

• Journal of Music and Human Behavior
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• v.17 no.1
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• pp.97-125
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• 2020

This case study examined the effects of synchronization-based group music therapy for improving peer interaction of children with autism spectrum disorder (ASD). The participants were five children between the ages of 6 and 10 with ASD. A total of eight 30-minute music therapy sessions were conducted two times a week. During sessions, target behaviors (i.e., engagement in joint action, synchronized movements, eye contact, and initiation of social interaction) were observed and analyzed. Also, the PIPPS-P was completed by parents to identify behavioral changes in real-life environments from pretest to posttest. Following the intervention, all of the participants showed increases in synchronized movements with peers and attempts to initiate social interaction. In addition, parents rated their children's play behavior as being improved in their everyday living environment. These results support that synchronous movements between children with ASD, which were facilitated with rhythmic cueing, led to enhanced engagement in joint action. Considering that those movements are the basis for further social skills (e.g., play behavior), this study also indicates that synchronization-based group music therapy could be an effective therapeutic approach for improving the peer interaction of this population.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.3
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• pp.155-160
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• 2017

Recently, Deep learning has been used successfully to solve many recognition problems. It has many advantages over existing machine learning methods that extract feature points through hand-crafting. Deep neural networks for human activity recognition split video data into frame images, and then classify activities by analysing the connectivity of frame images according to the time. But it is difficult to apply to actual problems which has small-scale activity classes. Because this situations has a problem of overfitting and insufficient training data. In this paper, we defined 5 type of small-scale human activities, and classified them. We construct video database using 700 video clips, and obtained a classifying accuracy of 74.00%.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.9
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• pp.1041-1048
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• 2019

Recently, social demands on atypical buildings and building spaces are increasing, and examples of atypical buildings are easily seen in major cities around the world. This study investigates the user behaviors in the typical atypical buildings currently constructed and analyzes the characteristics of human behavior in the atypical building space. Ultimately, this study aims to develop human behavior simulation technology for reviewing residential performance of atypical building space design, and the results of this study can be used for user behavior modeling and simulation technology development. This is because it is difficult to find an investigation or analysis of what behavioral characteristics occur in the atypical building space in previous studies. This study derives the characteristics of human behavior in the atypical architectural space that has been overlooked in the existing human behavior simulation tools. In other words, the site visits and surveys typical atypical buildings to investigate user behaviors in typical spaces and other atypical buildings.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.752-761
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• 2022

The purpose of this study is to present basic data for developing patient-centered care by identifying the current situation and problems of caregivers' protection management for the problem behaviors of the elderly with dementia targeting caregivers working at three nursing hospitals among the facilities for the elderly in the Uiseong area. From January 2021 to July 2021, 1 caregiver with less than 1 year, 5 caregivers with 1 to 3 years of care, and 2 caregivers with 4 years or more, who are directly caring for the elderly with dementia in clinical practice working at a nursing hospital, managing and supervising them A total of 13 patients were included, including 3 nurses and 2 secretary generals. As a qualitative case study, the results of caregivers' protective management for the problem behaviors of the elderly with dementia were listed in mental, physical, and relational aspects. Conflicts in the process and the results of conflicts in the care process with hospital managers are listed based on case studies. More specifically, the efforts and passion of researchers to understand the problem behaviors of the elderly with dementia and to devise and verify practical management methods based on this are urgently needed. It will be necessary to secure data of various case studies in clinical practice through research methods.

• Journal of the Economic Geographical Society of Korea
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• v.6 no.1
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• pp.145-170
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• 2003

Since 1980's, the opportunities of higher education have increased absolutely to the extent worrying of over-education. The over-education means that job-seekers having a bachelor degree flow into job market much more than necessary and the problem of unemployment and under-employment becomes more serious. These changes in the labor market can affect the university selection behaviors of high school graduates. This study aims to reveal the impacts of over-education in Chungbuk, a periphery region, Korea. As expected, many of college graduates flow down into jobs asking school years less than higher education. On the other hand, high school graduates have an tendency of choosing a college, especially a college in center region, other than universities in Chungbuk, to expect more stable and rewarding job in income and upward mobility after the graduation of higher education. As the result of this, a regional university district, which means most of students in the region enter college within region limit, is getting broken into more smaller districts, a kind of local district. It can be thought as a sign that the dominance of regional center is weakening and more cities in the region receive a direct affects from center region, not through regional center.