• Journal of Convergence for Information Technology
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• v.10 no.2
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• pp.193-200
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• 2020

This study proposes the Field Oriented Capacity Upgrade Program, an educational model for improving clinical practice of occupational therapy. The effectiveness of the self-directed learning ability and problem solving ability of students was compared by comparing the proposed educational model with the traditional teaching method. The research method was divided into the experimental group who participated in the model education and the control group who participated in the lecture class, and conducted similar experimental studies using the nonequivalent control group pretest-posttest design. In addition, the study participants conducted a preliminary and follow-up survey of a total of 135 students who participated in the education over three semesters. As a result of training using the proposed learning method, the experimental group improved self-directed learning ability and problem solving ability by 22% and 18%, respectively, compared to the control group. This study developed and proposed a new teaching-learning method to improve clinical practice of occupational therapy, and it is meaningful as a basic data of teaching-learning method to improve the ability required in various jobs.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.3
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• pp.500-506
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• 2007

The Type Object Design Pattern is proposed to provide a solution on the situation in the case that one class has too many subclasses or the number of subclasses are undefined. Although this pattern has many advantages in terms of applicability and dynamic object behavior, it has a weak point in runtime pattern operation that it has to build and maintain a class reference mechanism in runtime to reference the class (de facto 'object') of instances. To solve that problem, this paper addresses the solution of the runtime class reference problem of Type Object Pattern. it defines a new class of Type Object Class (TOC) from Type Class and Object Class in Type Object pattern and presents the methods of creating, compiling, and memory-loading the TOC. It depends on built-in class reference mechanism of object-oriented programming language, and is not necessary to fit with the additional mechanism. Consequently, we need not to set up the additional class reference mechanism and system performance is enhanced due to it.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1998.10a
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• pp.36-39
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• 1998

It is very difficult for the large-scale retailers, who deal with tens of thousands of items, to price all the items dynamically reflecting all the constraints and policies. In spite of its importance, the prices are determined by human experts because the process of setting the prices of all the items is not established yet. To solve this problem, we adopt a mixed model that combines three typical pricing models: cost-plus model, competition-oriented model, and demand-oriented model. Since each model an be converted to a set of constraints in point and interval forms, solving the pricing problem with the three groups of models requires an algorithm which can solve the problem with weighted constraints of intervals and points. So we have devised an algorithm named “Point Determination Algorithm”. From the rules that represents tile models, the constraints are extracted to be solvable by tile Point Determination Algorithm. A prototype KAPA (Knowledge Assisted pricing Advisor) is developed with this idea using the expert system environment UNIK - a tool developed by KAIST. According to the experiment with 76 items in comparison with 53 human pricing experts we confirmed that the KAPA can perform highly consistent with human experts. This implies KAPA system is applicable to pricing millions of items dynamically.

• Journal of the Optical Society of Korea
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• v.20 no.6
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• pp.704-715
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• 2016

In this paper, we explore a low-complex bandwidth allocation (BA) scheme with multi-level service guarantees in VLC-OFDM systems. Effective capacity theory, which evaluates wireless channel capacity from a novel view, is utilized to model the system capacity under delay QoS constraints of the link layer. Since intensity modulation of light is used in the system, problems caused by frequency selectivity can be neglected. Then, the BA problem can be formulated as an integer programming problem and it is further relaxed and transformed into a concave one. Lagrangian formulation is used to reformulate the concave problem. Considering the inefficiency of traditional gradient-based schemes and the demand for distributed implementation in local area networks, we localize the global parameters and propose a quasi-distributed quadratic allocation algorithm to provide two-level service guarantees, the first level is QoS oriented, and the second level is QoE oriented. Simulations have shown the efficient performance of the proposed algorithm. The users with more stringent QoS requirements require more subcarriers to guarantee their statistical delay QoS requirements. We also analyze the effect of subcarrier granularity on the aggregate effective capacity via simulations.

• Journal of Korean society of Dental Hygiene
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• v.21 no.2
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• pp.109-118
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• 2021

Objectives: This study aimed to investigate the association between interpersonal relationships and the 4C core competencies of dental hygiene students. It also examined how interpersonal competence can be enhanced by the development and application of programs so that the 4C core competencies of university students can be improved. Methods: A survey was conducted from March to May 2019 on students from the Department of dental hygiene in Busan, South Korea, and 177 valid responses were analyzed. The general characteristics of the students were calculated using frequency and percentage, and their degree of 4C core competencies and interpersonal abilities were expressed as means (±standard deviation). Multiple regression analysis was used to analyze the effects of interpersonal competence on the 4C core competencies. Results: The findings revealed the factors affecting the 4C core competencies as; (a) communication ability was affected by interpersonal cognition and confidence building; (b) critical thinking ability was affected by person-oriented, self-expression, and confidence building; (c) creative problem-solving ability was affected by self-confidence, person-orientation, self-expression, and confidence building, and (d) cooperative self-efficacy was affected by person-oriented and confidence building. Conclusions: Based on the above findings, it is necessary to develop systematic program items and education systems that can effectively develop interpersonal competency, and thereby improve 4C core competencies among students.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.15 no.3
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• pp.291-300
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• 2008

Purpose: The purpose of this study was to identify the effects of a cognitive behavioral stress management program on perceived stress, coping strategies, and cortisol in people with Diabetes Mellitus Type 2. Method: Patients with type 2 diabetes were recruited from of a public health center in an urban area. Thirty-five participants (experimental group=17, and control group=18) enrolled. The experimental group received small group-based cognitive behavioral stress management training for eighty minutes per session, once a week for eight weeks. Data were collected at baseline and ninth week for perceived stress, affect-oriented coping, problem-oriented coping, and cortisol. The data were analyzed using SPSS 12.0. Results: The experimental group had significantly less perceived stress (t=-9.82, P<.001) and cortisol (t=-2.14, p=.040) than the control group. No significant group differences were found in affect-oriented coping (t=-.43, p=.673) or problem-oriented coping (t=1.40, P<.170). Conclusion: These results suggest that a cognitive behavioral stress management program can have positive effects on perceived stress and cortisol in patients with diabetes mellitus type 2. Further research with a larger sample and for a longer period is needed to expand our understanding of the effects of the program for patients with diabetes mellitus type 2.

• Journal of Korean Library and Information Science Society
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• v.9
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• pp.33-61
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• 1982

It is an established fact that the university library is an important element in the higher education system. To keep abreast with the changing social environment industrial development and explosive increase of knowledge, the university library must also find new a n.0, pproaches to better serve the users in the university community. Also, on the part of university faculty, instructional methods must be improved from text book oriented education toward assignment oriented education. To facilitate effective teaching, the role of university library and its efficient use has become more important and indispensable. The objective of this study was to review the literature, and to find out current practice among students and professional librarians on the library instruction in order to find ways to strengthen and improve it. A specially designed questionnaire was used to survey current status. Results of the survey are summarized as follows; (1) Most university students received some guidance on library utilization as part of their freshman orientation program. However, it is found that the elementary nature of the guidance program was insufficient for their subsequent actual attempt to use. Students are not familiar with library organization, search procedure, and they lack basic knowledge on library service available to them. (2) Problem areas related to library instruction are insufficient amount of time allocated for the guidance program, big size of orientation program, and lack of interest on the part of students, etc. It is therefore recommended that the above mentioned problem areas be overcome through cooperative and concerted efforts among faculty members, professional librarians, and the university administration by increasing library instruction hours, improving the contents of program in its scope and depth to be practically useful. To sum up, the lecture oriented education should be shifted toward library oriented education by improved instruction program on library use.

• Journal of the Korean Society of Earth Science Education
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• v.5 no.1
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• pp.124-133
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• 2012

Modern society requires people with practical knowledge that is able to recognize actual problems in the complex reality and solve the problems. Due to that reason, the 7th National Curriculum aims to basically cultivate ability adaptable to information-oriented global age by maximizing students' individuality and creativity. However, as existing education is hard to improve creativity, logical thinking, information processing skills, and problem-solving ability in the information-oriented age, self-directed learning is getting highlighted. Therefore, this study aimed to look into how learner-oriented IPER for self-directed learning and problem-based learning(PBL) in middle school science affected academic achievement of science and self-directed learning characteristics. As the results of the study are as follows. First, as the result of pre-and post-test to compare and analyze the effects of IPER instruction model and PBL instruction model on learners' academic achievement increase, it showed that the class with IPER instruction model was more effective. Second, as the result of pre-and post-test to compare and analyze the effects of IPER instruction model and PBL instruction model on self-directed learning characters, IPER was more effective than PBL overall, and among sub-areas, 'openness', 'self-concept', 'initiative', 'future-oriented self-understanding', and 'self-evaluation' were more effective in IPER while 'creativity' was more effective in PBL. However, among sub-areas 'responsibility' and 'learning enthusiasm' didn't show statistically significant difference. Third, the results of the post-survey to compare and analyze learners' perception regarding the application of IPER instruction model and PBL instruction model, the two models were positively affective. In addition, as the result of comparing the two models, IPER was more positive than PBL.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.7
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• pp.2325-2349
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• 2014

Network virtualization technology plays a key role in cloud computing, which serves as an effective approach for provisioning a flexible and highly adaptable shared substrate network to satisfy the demands of various applications or services. Recently, the problem of mapping a virtual network (VN) onto a substrate network has been addressed by various algorithms. However, these algorithms are typically efficient for unicast service-oriented virtual networks, and generally not applicable to multicast service-oriented virtual networks (MVNs). Furthermore, the survivable MVN mapping (SMVNM) problem that considers the survivability of MVN has not been studied and is also the focus of this work. In this research, we discuss SMVNM problem under regional failures in the substrate network and propose an efficient algorithm for solving this problem. We first propose a framework and formulate the SMVNM problem with the objective of minimizing mapping cost by using mixed integer linear programming. Then we design an efficient heuristic to solve this problem and introduce several optimizations to achieve the better mapping solutions. We validate and evaluate our framework and algorithms by conducting extensive simulations on different realistic networks under various scenarios, and by comparing with existing approaches. Our simulation experiments and results show that our approach outperforms existing solutions.

• IEIE Transactions on Smart Processing and Computing
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• v.3 no.5
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• pp.259-266
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• 2014

In this paper, we propose a novel technique for noise robust automatic speech recognition (ASR). The development of ASR techniques has made it possible to recognize isolated words with a near perfect word recognition rate. However, in a highly noisy environment, a distinct mismatch between the trained speech and the test data results in a significantly degraded word recognition rate (WRA). Unlike conventional ASR systems employing Mel-frequency cepstral coefficients (MFCCs) and a hidden Markov model (HMM), this study employ histogram of oriented gradient (HOG) features and a Support Vector Machine (SVM) to ASR tasks to overcome this problem. Our proposed ASR system is less vulnerable to external interference noise, and achieves a higher WRA compared to a conventional ASR system equipped with MFCCs and an HMM. The performance of our proposed ASR system was evaluated using a phonetically balanced word (PBW) set mixed with artificially added noise.