• Journal of Korea Technology Innovation Society
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• v.11 no.3
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• pp.335-351
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• 2008

The paper constructs the economic theory of sleeping patents in the knowledge-based economy. Starting with the definition of sleeping patents, we suggest the types of sleeping patents, intended and unintended ones. While intended sleeping patents are divided into 'for-defending technological position' and 'for-describing past technology', unintended sleeping patents include frictional, intrinsic, market-deficient, and institutional ones. We also introduce the concept of the natural rate of sleeping patent and measure the social loss due to sleeping patents. The study can contribute to solving policy problems for utilizing registered patents. For example, if we measure the natural rate of sleeping patent in Korea, we can estimate 'tolerable rate of sleeping patent' and control the extend of policy intervention for patents utilization. Since we invest the theory of sleeping patents firstly, the suggested concepts should be elaborated through further discussion in depth.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.6
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• pp.635-642
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• 2003

Reinforcement learning got successful results in a lot of applications such as control and scheduling. Various function approximation methods have been studied in order to improve the learning speed and to solve the shortage of storage in the standard reinforcement learning algorithm of Q-Learning. Most function approximation methods remove some special quality of reinforcement learning and need prior knowledge and preprocessing. Fuzzy Q-Learning needs preprocessing to define fuzzy variables and Local Weighted Regression uses training examples. In this paper, we propose a function approximation method, Fuzzy Q-Map that is based on on-line fuzzy clustering. Fuzzy Q-Map classifies a query state and predicts a suitable action according to the membership degree. We applied the Fuzzy Q-Map, CMAC and LWR to the mountain car problem. Fuzzy Q-Map reached the optimal prediction rate faster than CMAC and the lower prediction rate was seen than LWR that uses training example.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.26 no.4
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• pp.82-90
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• 2003

The Systems Engineering, as a methodology for engineering and management of today's ever-growing complex system, is a comprehensive and iterative problem-solving process. The process centers on the analysis and management of the stakeholders' needs throughout the entire life-cycle of a system and searches for an optimized system architecture. There are many essential needs and requirements to be met when a system development task is carried out. Systems Engineering Management Plan(SEMP), as a specification for system development process, must be established to satisfy constraints and requirements of stakeholders successfully and to prevent cost overrun and schedule delay. SEMP defines technical management functions and comprehensive plans for managing and controlling the entire system development process, specialty engineering processes, etc. Especially. in the case of a large-scale complex system development program where various disciplinary engineering such as mechanical; electrical; electronics; control; telecommunication; material; civil engineering etc. must be synthesized, it Is essential to develop SEMP to ensure systematic and continuous process improvements for quality and to prevent cost/schedule overruns. This study will enable the process knowledge management on the subject of SEMP as a core systems engineering management effort, that is, definitely defining and continuously managing specification of development process about requirements, functions, and process realization of it using a computer-aided systems engineering software. The paper suggests a systematic SEMP development process and demonstrates a data model and schema for computer-aided systems engineering software, RDD-100, for use in the development and management of SEMP. These are being applied to the systems engineering technology development task for the next-generation high-speed railway systems in progress.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.16-22
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• 2020

Since it is difficult for individual power producers and non-professionals who lack basic knowledge to control, manage, and operate facilities through EMS (Energy Management System), augmented reality and virtual reality monitoring systems are applied. However, in the existing systems, data access efficiency is inferior due to the process of analyzing column values for analog signal values collected from sensors and converting data after combining the columns. In addition, high-speed operation processing is difficult due to a large number of indexes for accommodating access patterns for various analog signal waveforms. Therefore, in this paper, a bitmap generator is inserted into a non-tree structure to convert the data collected from power facilities into physical property information, and the converted information is encrypted with a common key, so that the resources for the resources shared between each device are We propose a method of exchanging data for an augmented reality-based power system that is controlled by measurement.

• The Journal of Korean Association of Computer Education
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• v.3 no.1
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• pp.127-134
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• 2000

Distance education, which emerged under the influence of both the rapid development of hi-tech information technology and the constructivism theory of learning, enables learners to acquire knowledge and skills needed by monitoring their learning process for themselves. Emphasis on web-based distance education and contructivism as a basis of learner-centered education does not mean that those education systems are performed without teachers or in noninterference. This study proposes a model of distance education system in which learners are taught in various levels of learning with the help of teacher agents. In the model teacher agents produce the learners' respective learning model considering the information on individual learners and also control the progress to the next step of learning with the result of the evaluation of learning accomplishment. The model of distance education system suggested in this study is able to help solve the problem that the learning resources web-based distance education provides were used only as objects of web search and to supply a basis of realizing learner-centered education.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.24 no.1
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• pp.55-63
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• 2013

Digital retrodirective antenna system is easy to modify and upgrade because it can control the phase information of the output signal toward opposite direction to input signal without a priori knowledge of the arrival direction. Due to this advantage, it is possible to do fast beam tracking. Especially, we need to design the digital PLL performance for the digital retrodirective array antenna system. So, in this paper the settling time of phase estimator and BER performance of retrodirective antenna system are investigated according to design of filter in digital PLL. When QAM signal is used for 1 Mbps with $30^{\circ}$ of phase delay, simulation results show that digital phase conjugation technique has better BER performance by about 1 dB than non-phase conjugation system when digital filter is stable. If not, the system can't estimate the exact phase because of oscillation of filter.

• Journal of Korean Academy of Nursing
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• v.37 no.5
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• pp.655-664
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• 2007

Purpose: The purpose of this study was to investigate RN-BSN students' clinical nursing competency in order to establish baseline data for developing nursing competency based clinical education for RN-BSN students. Method: A survey of 1,453 RN-BSN students from 21 nursing schools was conducted using a self administered questionnaire. Result: The mean score of the clinical nursing competency was 2.93. The scores for competency were shown as 2.91 for nursing management, 2.94 for developing professionalism & legal implementation, 2.95 for critical thinking, 2.96 for teaching & leadership, and data collection, basic nursing care, and communication were above 3.00. The items perceived as insufficient competency were physical examination and observation & monitoring in data collection, cardiopulmonary resuscitation, psycho-social care, spiritual care, hospice in basic nursing care, application of knowledge and theory, formulating nursing diagnosis, nursing care planning in critical thinking, education material development, leadership, delegation in teaching and leadership, analysis of organization, planning, infection control, role & job description, evaluation of nursing activities in nursing management, quality improvement, and research in developing professionalism and legal implementation. Conclusion: This study will contribute to developing a nursing competency based on clinical education for RN-BSN students who have various education needs and clinical backgrounds.

• Child Health Nursing Research
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• v.21 no.4
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• pp.285-292
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• 2015

Purpose: Purpose of this study was to identify factors affecting the performance of hand hygiene by parents of hospitalized infants. Methods: The study was conducted with 209 parents of hospitalized infants from one hospital in Changwon. Data were collected from June through August, 2014 and analyzed using SPSS Win 18.0 program. Results: There were positive correlations between performance of hand hygiene and perceptions of sanitary formula bottle (r=.586, p<.001), attitude to hand hygiene (r=.438, p<.001), and knowledge of hand hygiene (r=.405, p<.001) and between parent efficacy and perceptions of sanitary formula bottle (r=.572, p<.001). Awareness of perceptions of sanitary formula bottle (${\beta}$=.308, p<.001), parent efficacy (${\beta}$=.281, p<.001) and hand hygiene attitude (${\beta}$=.207, p<.001) were significant predictors of hand hygiene performance and explained 46.1% of the variance. Conclusion: To increase infection control medical institutions should provide education on hand hygiene and training for parents of hospitalized infants. In order to enhance the performance of hand hygiene, it is necessary to develop and apply nursing programs for hospitalized infants that include hand hygiene attitude, maintenance of the sanitary formula bottle and parent efficacy.

• Journal of the Korean Geographical Society
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• v.48 no.2
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• pp.218-238
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• 2013

The objective of my paper is to investigate historical change in concepts of medical geography and to present its historical vision. Modern medical geography was established in the name of medical topography in Europe where it had to control tropical diseases in the course of exploration and voyages for colonial interests. England developed medical geography in the name of sanitary reform, France did so for civilizing mission, and geomedicine prevailed in Germany. The twentieth century witnessed two traditions of medical geography, with focus on disease ecology and medical care system, respectively. In addition, the paper emphasizes the significance of cartography of disease as knowledge as power. As the identity of place becomes increasingly important in relation to health at the around of the twenty-first century, geography of health has emerged as a new promising discipline independently of medical and public health geography.

• Geotechnical Engineering
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• v.10 no.3
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• pp.79-96
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• 1994

A tunnel design expert system entitled NESTED is developed using the artificial neural network. The expert system includes three neural network computer models designed for the stability assessment of underground openings and the estimation of correlation between the RMR and Q systems. The expert system consists of the three models and the computerized rock mass classification programs that could be driven under the same user interface. As the structure of the neural network, a multi -layer neural network which adopts an or ror back-propagation learning algorithm is used. To set up its knowledge base from the prior case histories, an engineering database which can control the incomplete and erroneous information by learning process is developed. A series of experiments comparing the results of the neural network with the actual field observations have demonstrated the inferring capabilities of the neural network to identify the possible failure modes and the support timing. The neural network expert system thus complements the incomplete geological data and provides suitable support recommendations for preliminary design of tunnels in rock masses.