• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.10a
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• pp.188-191
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• 2003

In this paper, we proposed data generalization and data cube mechanism for efficient data mining in distribute environment. We also proposed active Self Organization Map applying traditional Self Organization Map of Neural network for searching the most Informative data created from data cube after the generalization procedure and designed the system architecture for that.

• The Journal of Korea Robotics Society
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• v.1 no.2
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• pp.163-171
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• 2006

This paper introduces the research progress on the artificial brain in the Telerobotics and Control Laboratory at KAIST. This series of studies is based on the assumption that it will be possible to develop an artificial intelligence by copying the mechanisms of the animal brain. Two important brain mechanisms are considered: spike-timing dependent plasticity and dopaminergic plasticity. Each mechanism is implemented in two coding paradigms: spike-codes and rate-codes. Spike-timing dependent plasticity is essential for self-organization in the brain. Dopamine neurons deliver reward signals and modify the synaptic efficacies in order to maximize the predicted reward. This paper addresses how artificial intelligence can emerge by the synergy between self-organization and reinforcement learning. For implementation issues, the rate codes of the brain mechanisms are developed to calculate the neuron dynamics efficiently.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.406-408
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• 2015

최근 사물인터넷 환경은 다양한 서비스 개발로 인해 동일 지역 내에 다양한 서비스 디바이스로 구성된 네트워크가 형성되어 있다. 이런 네트워크 환경은 효율적 서비스 제공을 위해 스스로 서비스를 인지하고 서비스 별 네트워크 구성 기법이 필요하다. 따라서 본 논문에서는 Infra-less IoT 환경에서의 Self-Organization Network (SON) 기반 서비스 지향형 IoT 네트워크 구성 방법을 제안한다. 제안하는 기법은 서비스 제공 시 필요한 네트워크 시그널링을 최소활 할 수 있는 기법으로 활용될 수 있다.

• Journal of Korean Society for Quality Management
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• v.26 no.4
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• pp.189-201
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• 1998

Quality of radiological services can be assessed by various agents, so called medical doctors, radiologists, patients and others. However radiological services are provided by radiologists to patients and medical doctors. This study was based on data which were collected from assessment of 142 radiologists working in the health care services organization and 149 patients who visited the same organization about radiological services, with self-administered structured questionnaire. This study was planned to analyze of radiological services factors and to develop a methodology for measuring the level of quality in the radiological health care services.

• Proceedings of the Korean Magnestics Society Conference
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• 2003.12a
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• pp.310-310
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• 2003

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.12
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• pp.1362-1370
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• 1992

• Macromolecular Research
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• v.17 no.1
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• pp.62-66
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• 2009

• Proceedings of the Optical Society of Korea Conference
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• 2006.07a
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• pp.25-26
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• 2006

• Journal of Korean Academy of Nursing
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• v.39 no.6
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• pp.878-887
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• 2009

Purpose: The study was done to identify turnover intention in new nurses according to characteristics of the nurses and other factors affecting turnover and to provide data to set up a strategy to reduce the turnover. Methods: Data were collected from 1,077 new nurses who had less than 12 months employment experience and worked in one of 188 hospitals. Eight research instruments were used. Data analysis was done using SPSS WIN 15.0 program. Results: Several factors influence new nurse turnover intention. The average score for turnover intention was 2.12. The scores for subscales were self efficacy, 3.76, nursing performance, 3.90, job satisfaction, 2.09, organization commitment, 1.28, stress, 1.32, burnout, 2.82 and nursing organizational culture, 3.29. Turnover intention was related to self efficacy, nursing performance, job satisfaction, organization commitment, stress, burnout, nursing organizational culture, duration of in-class training, duration of on the job training, number of hospital beds, length of employment and duration of employment in current workplace. The predicting factors for turnover intention were burnout, stress, duration of employment in the current workplace, self efficacy and nursing performance. Those factors explained 51.6% of turnover intention. Conclusion: New nurse turnover intention can be reduced by mitigating the factors affecting this intention.

• English Language & Literature Teaching
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• v.12 no.3
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• pp.147-166
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• 2006

This study investigates the effect of misplacement in a written Computer-delivered ESL Placement Test (CEPT) context. The study aims to address the following two research questions: a) which scoring rubric features cause the misplacement of ESL learner's writing scores? and b) which scoring rubric features improve ESL learner's writing scores? Thirty-four international examinees took the test and participated in surveys at the University of Illinois. Twelve examinees of them attended the CEPT workshop test. In the workshop test, they carried out self-evaluation on their first essays using a scoring rubric and compared with expert raters' results. After the workshop, the examinees responded to a survey and interview. For the first research question, the results of the survey and interview addressed that the majority disagreed with the raters' rating results. The self-evaluation results also indicated that their misunderstanding of organization feature caused the misplacement. For the second question, the CEPT workshop scores were improved due to the score improvement in the organization feature while the contribution of other features to the total scores was little. Most of the examinees pointed out that a lesson on the scoring rubric enhanced their understanding of the writing features of the rubric so that their placement scores were generally improved.