• Nuclear Engineering and Technology
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• v.53 no.12
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• pp.3902-3909
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• 2021

SACOS series of subchannel analysis codes have been developed by XJTU-NuTheL for many years and are being used for the thermal-hydraulic safety analysis of various reactor cores. To achieve fine whole core pin-level analysis, the input preprocessing and parallel capabilities of the code have been developed in this study. Preprocessing is suitable for modeling rectangular and hexagonal assemblies with less error-prone input; parallelization is established based on the domain decomposition method with the hybrid of MPI and OpenMP. For domain decomposition, a more flexible method has been proposed which can determine the appropriate task division of the core domain according to the number of processors of the server. By performing the calculation time evaluation for the several PWR assembly problems, the code parallelization has been successfully verified with different number of processors. Subsequent analysis results for rectangular- and hexagonal-assembly core imply that the code can be used to model and perform pin-level core safety analysis with acceptable computational efficiency.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.896-902
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• 2021

Rotated face detection is required in many applications but still remains as a challenging task, due to the large variations of face appearances. In this paper, a polar coordinate transform that is not affected by rotation is proposed. In addition, a method for effectively detecting rotated faces using the transformed image has been proposed. The proposed polar coordinate transform maintains spatial information between facial components such as eyes, mouth, etc., since the positions of facial components are always maintained regardless of rotation angle, thereby eliminating rotation effects. Polar coordinate transformed images are trained using AdaBoost, which is used for frontal face detection, and rotated faces are detected. We validate the detected faces using LBP that trained the non-face images. Experiments on 3600 face images obtained by rotating images in the BioID database show a rotating face detection rate of 96.17%. Furthermore, we accurately detected rotated faces in images with a background containing multiple rotated faces.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.317-326
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• 2018

Objectives: The demand for hospice has been increasing among patients with cancer. This study examined the current hospice referral scenario for terminally ill cancer patients and created a data form to collect hospice information and a modified health information exchange (HIE) form for a more efficient referral system for terminally ill cancer patients. Methods: Surveys were conducted asking detailed information such as medical instruments and patient admission policies of hospices, and interviews were held to examine the current referral flow and any additional requirements. A task force team was organized to analyze the results of the interviews and surveys. Results: Six hospices completed the survey, and 3 physicians, 2 nurses, and 2 hospital staff from a tertiary hospital were interviewed. Seven categories were defined as essential for establishing hospice data. Ten categories and 40 data items were newly suggested for the existing HIE document form. An implementation guide for the Consolidated Clinical Document Architecture developed by Health Level 7 (HL7 CCDA) was also proposed. It is an international standard for interoperability that provides a framework for the exchange, integration, sharing, and retrieval of electronic health information. Based on these changes, a hospice referral scenario for terminally ill cancer patients was designed. Conclusions: Our findings show potential improvements that can be made to the current hospice referral system for terminally ill cancer patients. To make the referral system useful in practice, governmental efforts and investments are needed.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.106-113
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• 2019

The purpose of this paper is aimed to derive suggestions for convergence technology for effective management of distance education by analyzing a long-term case. The experiment was designed with notebook, smartphone or tablet based robot controlled by a remote instructor and a learner, who have experience of distance learning including robot assisted learning. The tablet based robot has the display system of feedback to speakers. During five months, three types of experiments were conducted randomly and a participant was interviewed thoroughly. The result, like the previous research, demonstrates that the task performance of the learner in telepresence robot-assisted learning was better than that in the notebook, and smartphone based. However, it is believed to be necessary to adjust the system for eye-contact and voice transmission for the remote instructor. The instructor required an additional sight by supplementing an extra camera and automatic direction control to source of sound.

• PNF and Movement
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• v.17 no.1
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• pp.129-136
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• 2019

Purpose: This study is a comparison of spatiotemporal parameters between straight and curved walking in individuals with chronic hemiparetic stroke, investigating whether those patients can adapt their walking according to task demands and environmental changes. Methods: Twenty-eight patients who diagnosed with their first stroke at least six months prior to this study were recruited. They were measured for spatiotemporal parameters in three different walking conditions: straight walking, walking with an inner curve to the more-affected leg, and walking with an inner curve to the less-affected leg. This study also measured secondary clinical factors, such as the timed up-and-go test, the trunk impairment scale, and the dynamic gait index. The statistical methods for the three different walking conditions, using the averaged value of each condition, was repeated measures ANOVA. Results: The difference in cadence was statistically significant when comparing straight walking, walking with an inner curve to the more-affected leg, and walking with an inner curve to the less-affected leg. Swing duration (%) was also a statistically significant difference between straight walking and walking with an inner curve to the more-affected leg. However, differences in other spatiotemporal parameters were not statistically significant among the three conditions. Conclusion: The results of this study suggest that stroke survivors could adapt their walking according to straight and curved walking conditions, although cadence and swing duration were different between straight and curved walking groups.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.228-235
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• 2019

The purpose of this study is to explore the experiences and challenges of public guardianship services project for the mental disabled as a system of supporting the decision-making and the rights advocacy. For this purpose, interviews with 11 social workers who act as public guardians were conducted and a model of practice was suggested through analysis using the grounded theory of Strauss and Corbin(1998). As a results, the possibility of rights advocacy through public guardian services for the mentally disabled, the positive change of attitude of the facilities and the establishment of direction for the restoration of rights for the mentally disabled were derived. Public guardians experienced excessive empowerment of their guardians or difficulties in the process of their duties, but were also able to defend the rights of the mental disabled and support self-determination right. Through this study, expansion of budgets and expansion of beneficiaries for public guardianship services, establishment of infrastructure for integration in the community, set-up a support organization for public guardian services and Raising awareness of the mental disabled and public guardian services were suggested.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.67-75
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• 2021

The purpose of this study was to investigate the effect of sensory-motor centered group occupational therapy program on self-regulation and executive function in first grade elementary school maladjusted children. It is a case study through pre-post design with a total of 3 subjects. A pre-and post-test was conducted to determine the change in Self-Control Rating Scale and to find out the execution function by Bruininks-Oseretasky Test of Motor Proficiency. The sensory-motor centered group occupational therapy program performed movement activities based on vestibular sensation, proprioception, and tactile sensation, and the task was selected by investigating the child's preference for activity. As a result, subjects 1 and 2 children showed improved self-regulation and executive function. Based on the results of this study, it is considered that the group-centered sensory-motor program can be provided to children who show maladjustment in school by linking the educational field and clinical practice.

• The korean journal of orthodontics
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• v.51 no.2
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• pp.77-85
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• 2021

Objective: To evaluate the accuracy of a multi-stage convolutional neural network (CNN) model-based automated identification system for posteroanterior (PA) cephalometric landmarks. Methods: The multi-stage CNN model was implemented with a personal computer. A total of 430 PA-cephalograms synthesized from cone-beam computed tomography scans (CBCT-PA) were selected as samples. Twenty-three landmarks used for Tweemac analysis were manually identified on all CBCT-PA images by a single examiner. Intra-examiner reproducibility was confirmed by repeating the identification on 85 randomly selected images, which were subsequently set as test data, with a two-week interval before training. For initial learning stage of the multi-stage CNN model, the data from 345 of 430 CBCT-PA images were used, after which the multi-stage CNN model was tested with previous 85 images. The first manual identification on these 85 images was set as a truth ground. The mean radial error (MRE) and successful detection rate (SDR) were calculated to evaluate the errors in manual identification and artificial intelligence (AI) prediction. Results: The AI showed an average MRE of 2.23 ± 2.02 mm with an SDR of 60.88% for errors of 2 mm or lower. However, in a comparison of the repetitive task, the AI predicted landmarks at the same position, while the MRE for the repeated manual identification was 1.31 ± 0.94 mm. Conclusions: Automated identification for CBCT-synthesized PA cephalometric landmarks did not sufficiently achieve the clinically favorable error range of less than 2 mm. However, AI landmark identification on PA cephalograms showed better consistency than manual identification.

• Journal of Korean Society of Forest Science
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• v.100 no.4
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• pp.548-557
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• 2011

REDD is recognized as a cost-effective and the most appropriate way of managing global GHG emissions. It is negotiated in a global context under the UNFCCC. The main issues of the REDD mechanism are divided into two parts: 1) developing forest carbon verification and measurement system for reducing emissions from deforestation and forest degradation, 2) establishing an appropriate system of incentives for developing countries. REDD can provide stability in carbon offset credits. However, the most important task is to establish a clear legal framework and appropriate governance structures with relevant countries. There is a wide opportunities for Republic of Korea to take a lead in cutting off greenhouse gasses in the Post-Kyoto period.

• New Physics: Sae Mulli
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• v.68 no.12
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• pp.1338-1346
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• 2018

The purpose of this study is to analyze the curriculum of a university-affiliated science gifted education center based on the core competencies and to suggest a direction for improving the education at the gifted education center. For this purpose, we set the 12 core competencies as follows: 6 cognitive competencies such as knowledge, creativity, scientific thinking ability, inquiry ability, problem solving ability and fusion ability, and 6 non-cognitive competencies such as task commitment, self-directed learning ability, motivation reinforcement and challenge, communication skills, collaboration ability and leadership. The curricula of the science gifted education centers reflect all the competencies, but some competencies are only potentially included in the contents of the programs. In this study, we present examples of education programs by each competences and suggest additional descriptions for the development of gifted education centers.