• Journal of the Ergonomics Society of Korea
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• v.29 no.4
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• pp.465-471
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• 2010

Work-related musculoskeletal disorders (WMSDs) have been the most common health problem covered by worker's accident compensation insurance for several years in Korea. Korean government has strengthened related regulations since 2003. People looked forward to decreasing the incidence and prevalence of WMSDs. At first, the expectation could be realized. However, we were bumped against to limit at present. The authors think it is due to the negligence of psychosocial factors for WMSDs. Many researchers reported that the various psychosocial factors were associated with WMSDs or symptoms. Job demand, social support, job satisfaction and decision latitude are the major risk factors in job stress aspect. Work pressure, lack of rest, qualified workload, workload variability and monotonous job are the significant risk factors in work context of work organization. Employment flexibility, downsizing, lean production, contingent work and pay for by the piece are also the risk factors in an organizational context. Furthermore, these risk factors are associated with each other across different dimensions of work organization. Suggestive possible pathways between these risks and WMSDs have been taken note of increasing muscle strain or ergonomic stress and of a cognitive aspect. The authors suggest these risk factors could explain the limitation of the regulation system for WMSDs. In conclusion, the strategy to manage psychosocial factors is the one of the essential approach to prevent WMSDs.

• Archives of design research
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• v.13 no.1
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• pp.157-166
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• 2000

Since the cognitive science developed as a brandl of academic researdl, studies on human brains have flourished. Emotional features have been centered on the field of design, and the development of the design process has been diversified that makes use of the factors. The purpose of this study is to reflect the current trend and to convert the results into a method for designing. The researdl is based on the mind map techniques which spread like a trendy fashion, and tries to supply a theoretical explanation of how to overcome the fixed idea. Recognizing the importance of learned information in approaching a problem, I regarded the roles of left and right brain as analogue and digital images interpreting them by freely crossing language(digital images) and visual thought (analogue images), using mapping tedlniques. I pursued the research goal of the techniques focusing on the idea of using mapping. As a result of this. I established a logic system [figure 8] in that a proposition which starts as a problem introduction goes on until a problem solution, which is visualized with concept presentation, using a brainstorming technique. According to the suggested concept. I concluded that idea proliferation as a design demand can be solved by applying mapping techniques like one shown in figure 12.

• Journal of Educational Research in Mathematics
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• v.27 no.2
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• pp.313-328
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• 2017

This study aims to identify prospective elementary school teachers' perception of mathematical modeling in elementary class. Forty elementary school teachers participated in this study. Each teacher analysed the previous case studies about mathematical modeling in elementary class, developed a hypothetical learning trajectory, applied the hypothetical learning trajectory to his/her class, reflected students' learning and his/her teaching, and made reflective journals. These journals contained teachers' perception of mathematical modeling and the difficulties that teachers experienced in teaching mathematics as mathematical modeling. These journals were analyzed to identify teachers' perception of mathematical modeling in elementary class. This study shows that teachers have common features of mathematical modeling but their perspectives are little bit different, are classified into four kinds. And the difficulties that teachers experienced in teaching mathematics as mathematical modeling are classified into 5 categories; Task, Students' cognitive demand, Teacher' monitering, All students' participation, and Classroom culture. At last, suggestions for mathematical modeling in elementary class are done according to the result of this study.

• Research in Community and Public Health Nursing
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• v.12 no.3
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• pp.582-588
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• 2001

Purpose : This study is to examine the characteristics of the elderly and their family caregivers. to study the main factors affecting Nursing Home utilization, and to help frame a policy about Nursing Home's demand. management and welfare facilities. Method: Data for this present study were collected via questionnaires randomly distributed to family caregivers of the over 60-year-old patients at general hospital and university hospital in Seoul. Kyung-Ki Do and In-Chon from 26 June to 20 July, 2000. Questionnaires were issued to 512 people and 479 were returned. The data was analyzed by frequency, $x^2$-test, t-test, ANOVA. factor analysis. correlation coefficients analysis and Stepwise multiple regression analysis using SPSS 9.0. Result First. Instrumental Activities of Daily Living(IADL), duration of hospitalization, sex, marital status, behavior problems, home ownership, and cognitive disorder about elderly patients affect family caregivers burden. one of need factors. Secondly, marital status. religion. health status, sex, education and age in the family caregiver predisposing factors are main factors on Nursing Home utilization. Third, in need factors, care burden. time burden, family relation burden, physical burden and mental burden have an effect on Nursing Home utilization. Finally, the model the most important factors that affect Nursing Home utilization is composed of six of eleven totally, care burden, religion, time burden, health status, marital status and education. When the family caregivers get care burden and time burden. are highly educated, have no religion, have health problems, and have no spouse, it is possibility for them to utilize Nursing Homes. Conclusion: The government should decrease a family caregivers burden and seek to find how to support Nursing Homes. Furthermore. Social support program for the family caregivers should be required. Thus, the family caregivers need consultation and need to meet to talk about their patients. how to care them, get information, which are the crucial field in advancing the research in nursing science.

• Korean Medical Education Review
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• v.18 no.2
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• pp.51-57
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• 2016

This literature review explores artificial intelligence (AI) technology trends and IBM Watson health and medical references. This study explains how healthcare will be changed by the evolution of AI technology, and also summarizes key technologies in AI, specifically the technology of IBM Watson. We look at this issue from the perspective of 'information overload,' in that medical literature doubles every three years, with approximately 700,000 new scientific articles being published every year, in addition to the explosion of patient data. Estimates are also forecasting a shortage of oncologists, with the demand expected to grow by 42%. Due to this projected shortage, physicians won't likely be able to explore the best treatment options for patients in clinical trials. This issue can be addressed by the AI Watson motivation to solve healthcare industry issues. In addition, the Watson Oncology solution is reviewed from the end user interface point of view. This study also investigates global company platform business to explain how AI and machine learning technology are expanding in the market with use cases. It emphasizes ecosystem partner business models that can support startup and venture businesses including healthcare models. Finally, we identify a need for healthcare company partnerships to be reviewed from the aspect of solution transformation. AI and Watson will change a lot in the healthcare business. This study addresses what we need to prepare for AI, Cognitive Era those are understanding of AI innovation, Cloud Platform business, the importance of data sets, and needs for further enhancement in our knowledge base.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.12
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• pp.5723-5743
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• 2018

The evolving internet-based services demand high-speed data transmission in conjunction with scalability. The next generation optical network has to exploit artificial intelligence and cognitive techniques to cope with the emerging requirements. This work proposes a novel way to solve the dynamic provisioning problem in optical network. The provisioning in optical network involves the computation of routes and the reservation of wavelenghs (Routing and Wavelength assignment-RWA). This is an extensively studied multi-objective optimization problem and its complexity is known to be NP-Complete. As the exact algorithms incurs more running time, the heuristic based approaches have been widely preferred to solve this problem. Recently the software-defined networking has impacted the way the optical pipes are configured and monitored. This work proposes the dynamic selection of path computation algorithms in response to the changing service requirements and network scenarios. A software-defined controller mechanism with a novel packet matching feature was proposed to dynamically match the traffic demands with the appropriate algorithm. A software-defined controller with Path Computation Element-PCE was created in the ONOS tool. A simulation study was performed with the case study of dynamic path establishment in ONOS-Open Network Operating System based software defined controller environment. A java based NOX controller was configured with a parent path computation element. The child path computation elements were configured with different path computation algorithms under the control of the parent path computation element. The use case of dynamic bulk path creation was considered. The algorithm selection method is compared with the existing single algorithm based method and the results are analyzed.

• Journal of the Korean Chemical Society
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• v.65 no.1
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• pp.25-36
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• 2021

This study aimed to analyze achievement characteristics of Korean students in the results of PISA 2018 science domain. To this end, the characteristics of PISA 2009 to PISA 2018 science were analyzed in terms of the percentage of each performance level and the ratio of male and female by achievement level; in addition, the percentage of correct answers by framework subscale was compared with PISA 2015. The results showed that Korea has a higher percentage of students at the lower level of achievement as compared to the high-ranking countries of PISA, and the ratio of students at the higher level of achievement was lower. On average, the difference in achievement between boys and girls was negligible; however, but at the higher achievement level, the ratio of boys continued to be higher than that of girls. In addition, in the PISA science framework, the percentage of correct answers of the questions corresponding to 'personal' of 'contexts', 'evaluate and design scientific enquiry' of 'competencies', 'epistemic' of 'knowledge', and 'high' of 'cognitive demand' increased; similarly, and achievement improved as compared to PISA 2015. Based on these results of the study, we propose a method for improving teaching and evaluation to foster Korean students' scientific competence.

• The Mathematical Education
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• v.60 no.1
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• pp.111-131
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• 2021

This study aims to investigate how secondary mathematics teachers understand and intend to use textbooks for their mathematics instruction. For this purpose, we developed a set of survey items in order to unpack what the teachers understand the mathematical tasks suggested in the textbooks in terms of the levels of cognitive demand and how they intended to use the tasks in the textbooks for their teaching. Twenty-five teachers participated in the survey. The data from the survey were analyzed. The findings from the data analysis suggested as follows: a) the teachers seemed to closely follow textbooks without attempting to modify the tasks, even when the teachers consider it is necessary to modify textbook tasks to high-level tasks, b) the teachers seemed to be unstable in regards that they admitted themselves very competent for modifying tasks for developing students' mathematical thinking but, at the same time, they were uncomfortable with transforming tasks into cognitively demanding tasks that promote students' mathematical understanding, and c) the teachers appeared to consider textbooks as significant criteria in conducting tests including midterm and final exam. In conclusion, the teachers seemed to intend to follow closely the contents and sequence of mathematics textbooks in their mathematics classrooms.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.4
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• pp.167-178
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• 2023

Our society is rapidly changing, and there is a growing demand for various convenience services in our daily lives. Among these services, railway and subway stations require tailored wayfinding services to accommodate individuals with disabilities. Currently, signage and information desks are the primary means of navigation. However, individuals with disabilities often rely on assistance from others due to physical discomfort or cognitive impairments. In this paper, we propose a customized wayfinding system within railway stations to assist individuals with disabilities. This system aims to ensure safe and convenient mobility in complex indoor environments, including transfer facilities.

• Communications of Mathematical Education
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• v.36 no.1
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• pp.59-72
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• 2022

The purpose of this study is to understand the characteristics of the mathematical modeling tasks and lesson designs developed by pre-service teachers based on the inherent awareness of mathematical modeling, considering the importance of creating a task to perform mathematical modeling activity and designing a lesson. As a result, the mathematical modeling tasks developed by pre-service teachers mainly presents an appropriate amount of information using real life contexts for the purpose of learning using concepts, and it showed a tendency to develop to the level of cognitive demand that required procedures with connections to understanding, meaning, or concepts. And most of the developed modeling task-based lessons showed a tendency to design warm-up activity, model-eliciting activity, and model-exploration activity. This result is due to the lack of experience of pre-service teachers in creating mathematical modeling tasks. Therefore, it is necessary to continuously provide opportunities for pre-service teachers to learn concepts or create mathematical modeling tasks intended for exploration according to various mathematical contents, thereby actively cultivating their ability to create modeling tasks in the course of training pre-service teachers. Furthermore, it is necessary to strengthen the expertise in mathematical modeling teaching and learning by providing opportunities to actually perform the mathematical modeling-based classes designed by pre-service teachers and to experience the process of reflecting on the lessons.