• 한국정보통신학회논문지
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• 제20권10호
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• pp.1987-1993
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• 2016

창의융합교육의 핵심은 학습자들로 하여금 실제로 '할 수 있는' 능력을 갖추도록 하는 것이다. 이를 위해 대학 의교육과정에 사회와 기업이 원하는 인재가 갖추어야 할 역량을 선정하고, 선정된 역량에 기반 하여 역량중심 비교과과정 체계 및 운영체계를 개발 하였다. 창의 융합 형 인재를 '협업 형 창의융합인재, 브리꼴레르'로 정의하고, 이러한 인재가 갖추어야 할 핵심역량을 TX역량으로 규정하였다. T역량은 인문소양, 분야별 전문성으로 구성하였고, X역량은 창의적 문제해결력, 융합적 사고력, 자기주도 학습역량, 협력적 리더십으로 구성하였다. 비교과영역의 과정 개발을 통하여 학습자 역량 개발을 위한 과정을 적극 제공하고 관리를 체계화하여 학생들의 교내외 활동의 참여정도 및 성과에 대하여 마일리지점수를 부여하는 운영시스템을 체계화 하였다. 본 연구는 교과영역의 제한된 틀을 넘어 학습자의 다원적 역량을 개발할 수 있는 역량기반 비교과과정 및 그 운영체계의 시한적 모델이 될 수 있으리라 본다.

• Safety and Health at Work
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• 제7권1호
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• pp.18-31
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• 2016

Background: A job-specific Worker's Health Surveillance (WHS) for hospital physicians is a preventive occupational health strategy aiming at early detection of their diminished work-related health in order to improve or maintain physician's health and quality of care. This study addresses what steps should be taken to determine the content of a job-specific WHS for hospital physicians and outlines that content. Methods: Based on four questions, decision trees were developed for physical and psychological job demands and for biological, chemical, and physical exposures to decide whether or not to include work-related health effects related to occupational exposures or aspects of health reflecting insufficient job requirements. Information was gathered locally through self-reporting and systematic observations at the workplace and from evidence in international publications. Results: Information from the decision trees on the prevalence and impact of the health- or work-functioning effect led to inclusion of occupational exposures (e.g., biological agents, emotionally demanding situations), job requirements (e.g., sufficient vision, judging ability), or health effects (e.g., depressive symptoms, neck complaints). Additionally, following the Dutch guideline for occupational physicians and based on specific job demands, screening for cardiovascular diseases, work ability, drug use, and alcohol consumption was included. Targeted interventions were selected when a health or work functioning problem existed and were chosen based on evidence for effectiveness. Conclusion: The process of developing a job-specific WHS for hospital physicians was described and the content presented, which might serve as an example for other jobs. Before implementation, it must first be tested for feasibility and acceptability.

• 치위생과학회지
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• 제13권4호
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• pp.510-517
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• 2013

향후 치과의료 관련분야에서 전문직을 수행해야 할 치위생과 학생들에게 학교 교육과정은 문제해결력 향상을 위한 교육과 이에 적합한 학습체제 마련을 위한 연구가 필요하다. 이에 본 연구는 치위생과 학생들의 문제해결능력의 수준과 이에 대한 영향을 주는 변수를 확인하고, 관련변수의 영향력을 파악하여 치위생학 교육과정 개발에 필요한 기초 자료를 제공하고자 실시하였다. 1. 연구대상자의 성별에 따른 문제해결능력은 해결책 고안에서 남자 3.46, 여자 3.02로 남자가 높게 나타났으며, 통계적으로 유의한 차이가 있었다(p=0.048). 학년에 따라서는 2학년보다 3학년이 문제해결력 고안 3.15, 문제해결책 실행 2.95, 문제해결책 검토 3.13로 높게 나타났다(p<0.05). 출신고교의 경우 기타의 실업계와 검정고시 등 출신보다 인문계 출신이 문제정의 3.53, 문제해결책 검토 3.06으로 높았고, 대인관계에 따른 문제해결능력은 대인관계가 좋은 경우에 문제발견 3.26, 문제정의 3.62, 문제해결책 실행 2.94, 문제해결책 검토 3.17로 높게 나타났다(p<0.05). 2. 연구대상자의 학업성적에 따른 문제해결능력은 평점 4.0 이상의 경우 문제발견 3.42, 문제정의 3.73, 문제해결력 고안 3.28로 가장 높게 나타났고, 전공만족도에 따라서는 만족한다고 답한 경우 5개의 하위영역(문제발견, 문제정의, 문제해결력 고안, 문제해결책 실행, 문제해결책 검토)에서 모두 높은 수준을 나타냈다(p<0.05). 4. 문제해결능력에 영향을 미치는 요인들의 영향력으로는 학년, 대인관계, 성적, 전공만족도와 통계적으로 유의한 관련성이 있었다. 학년에 따라서는 3학년에 비해 2학년(B=-0.182, p=0.010)의 문제해결능력이 낮은 경향이 나타났으며, 대인관계의 경우 좋을 때에 비해 나쁠 때(B=-0.349, p=0.020), 학업성적은 평점 4.0 이상에 비해 3.0 미만인 경우 (B=-0.328, p=0.004), 전공만족도에서는 만족하는 경우에 비해 불만족의 경우(B=-0.483, p=0.005)에 문제해결능력이 낮았다. 따라서, 성공적인 실무를 수행할 수 있는 능력을 갖춘 인재를 양성하기 위해서는 치위생과 학생들의 문제해결능력에 영향을 미치는 요인에 따라 차별화된 교육과정 내에서 스스로 학습문제를 파악하고 문제해결을 위한 대안을 세우고 필요한 자료를 탐색하고 획득하여 문제를 해결하는 능력을 강화시키기 위한 실제적인 문제해결력을 갖추는 교육이 필요할 것으로 생각된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권1호
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• pp.395-413
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• 2016

Image authentication is a technique aiming at protecting the integrity of digital images. Reversible image authentication has attracted much attention of researcher because it allows to authenticate tampered regions in the image and to reconstruct the stego image to its original version losslessly. In this paper, we propose a new, reversible image authentication scheme based on adaptive prediction error expansion (PEE) technique. In the proposed scheme, each image block is classified into smooth or complex regions. Then, according to the characteristic of each block, the authentication code is embedded adaptively to achieve high performance of tamper detection. The experimental results demonstrated that the proposed scheme achieves good quality of stego images. In addition, the proposed scheme has ability to reconstruct the stego image to its original version, if no modification is performed on it. Also demonstrated in the experimental results, the proposed scheme provides higher accuracy of tamper detection than state-of-the-art schemes.

• Smart Structures and Systems
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• 제6권1호
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• pp.39-56
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• 2010

Structural Control relies, with a great deal, on the ability of the control algorithm to identify the current state of the system, at any given point in time. When such algorithms are designed to perform in a smart manner, several smart technologies/devices are called upon to perform tasks that involve pattern recognition and control. Smart pattern recognition is proposed to replace/enhance traditional state identification techniques, which require the extensive manipulation of intricate mathematical equations. Smart pattern recognition techniques attempt to emulate the behavior of the human brain when performing abstract pattern identification. Since these techniques are largely heuristic in nature, it is reasonable to ensure their reliability under real life situations. In this paper, a neural network pattern recognition scheme is explored. The pattern identification of three structural systems is considered. The first is a single bay three-story frame. Both the second and the third models are variations on benchmark problems, previously published for control strategy evaluation purposes. A Neural Network was developed and trained to identify the deformed shape of structural systems under earthquake excitation. The network was trained, for each individual model system, then tested under the effect of a different set of earthquake records. The proposed smart pattern identification scheme is considered an integral component of a Smart Structural System. The Reliability assessment of such component represents an important stage in the evaluation of an overall reliability measure of Smart Structural Systems. Several studies are currently underway aiming at the identification of a reliability measure for such smart pattern recognition technique.

• 대한지구과학교육학회지
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• 제3권2호
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• pp.118-123
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• 2010

This study is aiming to structure progressive instructional strategy for development of constructivist-thinking into the beginning stage, developmental stage, and advanced stage, then organize multiple choice, completion, descriptive, and essay problems to be suitable for each stage of the strategy, and finally, to evaluate what effects this instructional strategy has on the students' academic achievements and enhancement of their scientific essay writing skills. The results of the study are as follows. First, lessons applying the strategy for developing constructivist-thinking were more effective in enhancing student' academic achievement than the text book-oriented lecture type lessons. In changes in academic achievement, the test group, for both high and low levels, displayed a higher average than the control group, however, changes in the high level was not statistically significant and changes in the low level students were found to be statistically significant. Second, scientific essay writing skills were found to be effective in all levels of the test group and the averages in both high and low groups of the test group were higher than those of the control group and were also found to be statistically significant.

• 한국전문물리치료학회지
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• 제15권3호
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• pp.17-25
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• 2008

This study aimed to evaluate the effect of a weekly circuit-group exercise program on functional performance, flexibility of the trunk and lower extremities, and balance in individuals with chronic stroke who are living in a community. Thirteen community-living individuals (eleven males and two females) with chronic stroke participated in this study. The group exercise program was set up as a weekly circuit application with four stations aiming to strengthen the muscles, increase endurance, improve flexibility, and enhance functional capacity. The average duration of a session was an hour, and the sessions were conducted once a week for six months for a total of 24 sessions. Assessments for functional performance, flexibility of the trunk and lower extremities and balance were conducted four times: before treatment, after one month of treatment, after four months of treatment, and after six months of treatment. There were significant improvements in functional performance and flexibility of the trunk and lower extremities in the given time frame. No significant improvement was observed in balance ability. The findings suggest that a weekly circuit-group exercise program has some benefits in terms of managing the physical symptoms of individuals with mobility problems after stroke. Therefore, this program can be adapted and employed as a community-based rehabilitation program for such patients. Further studies with various community-based treatments will be conducted to validate these findings.

• Smart Structures and Systems
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• 제21권5호
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• pp.537-548
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• 2018

A tunnel deformation monitoring system is developed with the use of fiber Bragg grating (FBG) sensing technique, aiming at providing continuous monitoring of railway tunnel deformation in the long term, and early warning for the rail service maintainers and authorities to avoid catastrophic consequences when significant deformation occurs. Specifically, a set of FBG bending gauges with the ability of angle measurement and temperature compensation is designed and manufactured for the purpose of online monitoring of tunnel deformation. An overall profile of lateral tunnel displacement along the longitudinal direction can be obtained by implementing an array of the FBG bending gauges interconnected by rigid rods, in conjunction with a proper algorithm. The devised system is verified in laboratory experiments with a test setup enabling to imitate various patterns of tunnel deformation before the implementation of this system in an in-service high-speed railway (HSR) tunnel.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.311-321
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• 2020

This paper aims to investigate the effect of the factors on the e-invoice at its infant stage of adoption in the context of Vietnam. Data were collected by using a questionnaire delivered to 318 participants who are managers and accountants of companies in Vietnam from June to September 2019. The statistical methods approaches are employed to address the research issues including Cronbach's Alpha testing, Explanatory Factor Analysis (EFA), and Confirmation Factor Analysis (CFA). Then, Structural Equation Modeling (SEM) is employed to assess the proposed hypotheses model of e-invoice adoption in Vietnam. The research findings showed that direct factors have a statistically significant impact on the e-invoice adoption towards behavior, and perceived behavioral control. Perceived usefulness and perceived ease-of-use positively affect attitude towards the behavior. These factors, in turn, are impacted by perceived compatibility. Based on the research results, some practicable suggestions are proposed in order to boost the number of Vietnamese enterprises voluntarily adopting e-invoice. This study indicates the important impacts of the user's attitude and perception about control ability on intention to use. In addition, some key intuitive recommendations were proposed aiming to improve the success of the e-invoice adoption of enterprises in the context of Vietnam.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권2호
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• pp.522-541
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• 2016

Network virtualization provides an effective way to overcome the Internet ossification problem. As one of the main challenges in network virtualization, virtual network embedding refers to mapping multiple virtual networks onto a shared substrate network. However, existing heuristic embedding algorithms evaluate the embedding potential of the nodes simply by the product of different resource attributes, which would result in an unbalanced embedding. Furthermore, ignoring the hops of substrate paths that the virtual links would be mapped onto may restrict the ability of the substrate network to accept additional virtual network requests, and lead to low utilization rate of resource. In this paper, we introduce and extend five node attributes that quantify the embedding potential of the nodes from both the local and global views, and adopt the technique for order preference by similarity ideal solution (TOPSIS) to rank the nodes, aiming at balancing different node attributes to increase the utilization rate of resource. Moreover, we propose a novel two-stage virtual network embedding algorithm, which maps the virtual nodes onto the substrate nodes according to the node ranks, and adopts a shortest path-based algorithm to map the virtual links. Simulation results show that the new algorithm significantly increases the long-term average revenue, the long-term revenue to cost ratio and the acceptance ratio.