• Journal of muscle and joint health
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• v.29 no.3
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• pp.141-150
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• 2022

Purpose: This study aimed to investigate the effects of rehabilitation programs with coaching exercise (CE) or home exercise (HE) on shoulder pain, muscle strength, and daily living functions (DLF) in patients with shoulder impingement syndrome. Methods: With quasi-experimental design, thirty patients (15 CE and 15 HE) participated in rehabilitation programs for 12 weeks. At first, data were collected for pain and DLF using questionnaires with testing muscle strength and range of motion. Then, subjects were allowed to receive training on rehabilitation with structured training materials. CE group visited sports center three times a week at P hospital and HE group did self-exercise at home. Data were analyzed using SPSS program. Results: After 12 weeks, both groups showed statistically significant changes in improving pain, muscle strength, and DLF. Compare to HE group, CE group showed a statistically significant improvement in shoulder pain (p=.021), muscle strength in internal rotation (p=.001) and abduction (p=.013) and DLF (p=.012). Conclusion: Rehabilitation programs for patients with shoulder impingement syndrome were effective to improve pain, muscle strength, and DLF. Although CE would bring the better effects, it is possible to apply HE through structured education to patients who are difficult to visit hospitals.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.4
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• pp.97-110
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• 2022

The purpose of this study is to analyze the level of public data convergence capabilities of administrative organizations and to explore important variables in data-based organizational capabilities. The theoretical background was summarized on public data and use activation, joint use, convergence, administrative organization, and convergence constraints. These contents were explained Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. The research model was set as the data-based organizational capabilities effect by a data-based administrative capability, public data operation capabilities, and public data operation constraints. It was also set whether there is a capabilities difference data-based on an organizational operation by the level of data convergence capabilities. This study analysis was conducted with hierarchical cluster analysis and multiple regression analysis. As the research result, First, hierarchical cluster analysis was classified into three groups. It was classified into a group that uses only public data and structured data, a group that uses public data on both structured and unstructured data, and a group that uses both public and private data. Second, the critical variables of data-based organizational operation capabilities were found in the data-based administrative planning and administrative technology, the supervisory organizations and technical systems by public data convergence, and the data sharing and market transaction constraints. Finally, the essential independent variables on data-based organizational competencies differ by group. This study contributed. As a theoretical implication, this research is updated on management information systems by explaining the Public Data Act, the Electronic Government Act, and the Data-Based Administrative Act. As a practical implication, the activity reinforcement of public data should be promoting the establishment of data standardization and search convenience and elimination of the lukewarm attitudes and Selfishness behavior for data sharing.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.17-22
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• 2022

With the spread of web services, data types are becoming more diversified. In addition to the form of storing data such as images, videos, and texts, the number and form of properties and metadata expressing the data are different for each data. In order to efficiently process such unstructured data, a key-value store is widely used for state-of-the-art applications. LSM-Tree (Log Structured Merge Tree) is the core data structure of various commercial key-value stores. LSM-Tree is optimized to provide high performance for small writes by recording all write and delete operations in a log manner. However, there is a problem in that the delay time and processing speed of user requests are lowered as batches of deletion operations for expired data are inserted into the LSM-Tree as special key-value data. This paper presents a Filtered LSM-Tree (FLSM-Tree) that solves the above problem by separating the deleted key from the main tree structure while maintaining all the advantages of the existing LSM-Tree. The proposed method is implemented in LevelDB, a commercial key-value store and it shows that the read performance is improved by up to 47% in performance evaluation.

• Journal of the Society of Disaster Information
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• v.18 no.3
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• pp.609-621
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• 2022

Purpose: Natural Disaster has well formed framework more than social disaster, because natural disaster is controlled by one department, such as MOIS, but social disaster is distributed. This study is on the design of the integrated service platform for the social diaster data. and then, apply to the local governments. Method: Firstly, we design DB templates for the incident cases considering the incident investigation reports. For the risk management, life-damage oriented social disaster risk assessment is defined. In case of the real-time incident data from NDMS, AI system provides the prediction information in the life damage and the cause of the incident. Result: We design the structured and unstructured incident data management system, and design the integrated social disaster and safety incident management system. Conclusion: The integrated social disaster and safety incident management system may be used in the local governments

• Journal of architectural history
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• v.32 no.1
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• pp.61-72
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• 2023

Korean architecture classifies Banja (the decorated flat of the ceiling visible from the inside) of Royal Palaces into two types: Woomul(water-well, 井) banja, which inserts rectangular wooden board into lattice frame, and paper banja, which applies paper to the flat ceiling. Such classification was established in the 19th century. Before that, Banja was classified according to what was inserted into the lattice frame, either wooden or paper board. At first, the banja that used paper board was widely installed regardless of the purpose or nobility of the building. However, since the 17th century, the use of paper board banja became mostly restricted to Ondol (Korean floor heating system) rooms which are characterized by private usage and the importance of heating, and it was considered inferior to wooden board banja in terms of rank or grace. The contemporary paper banja was mainly installed in low-rank ondol rooms until the late 19th century to early 20th century, when roll-type wallpaper was introduced from the West and the paper banja came to decorate the King's and Queen's bedrooms. The traditional paper board banja benefits heat reservation, reduces the weight of the ceiling, and allows the adjustment of the lattice frame size. Furthermore, it can feature unique artistry if covered with blue, white, or red Neung-hwa-ji (traditional flower pattered paper).

• Journal of IKEEE
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• v.27 no.3
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• pp.251-257
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• 2023

In this paper, we propose a dual-structured self-attention method that improves the lack of regional features of the vision transformer's self-attention. Vision Transformers, which are more computationally efficient than convolutional neural networks in object classification, object segmentation, and video image recognition, lack the ability to extract regional features relatively. To solve this problem, many studies are conducted based on Windows or Shift Windows, but these methods weaken the advantages of self-attention-based transformers by increasing computational complexity using multiple levels of encoders. This paper proposes a dual-structure self-attention using self-attention and neighborhood network to improve locality inductive bias compared to the existing method. The neighborhood network for extracting local context information provides a much simpler computational complexity than the window structure. CIFAR-10 and CIFAR-100 were used to compare the performance of the proposed dual-structure self-attention transformer and the existing transformer, and the experiment showed improvements of 0.63% and 1.57% in Top-1 accuracy, respectively.

• Journal of the Korea Society of Computer and Information
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• v.28 no.5
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• pp.129-153
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• 2023

This study was conducted in the context of the Covid-19 pandemic by analyzing a large amount of press report frames regarding the Covid-19 vaccine which is of great public interest, in order to explore the role and direction of trusted media as core elements of crisis communication. The study period lasted for eight months beginning in November 2020 when the development of the Covid-19 vaccine was in progress until June 2021. Set-up as research subjects were the Chosun Ilbo, Joongang Ilbo, Dong-A Ilbo and Hankyoreh according to their public confidence rankings and number of readers.The analysis method used structured topic Modeling (STM) and semantic network analysis. As a result, based on a clear cluster of word structures and a central analysis value, a total of 64 relevant frames, 16 for each news company, were gathered. In the third phase a comparative analysis of the four news companies was carried out to verify the organizational degree of the frames and substantial differences.

• Journal of Preventive Medicine and Public Health
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• v.56 no.3
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• pp.238-247
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• 2023

Objectives: Low adherence to antiretroviral (ARV) therapy in pregnant women with human immunodeficiency virus (HIV) increases the risk of virus transmission from mother to newborn. Increasing mothers' knowledge and motivation to access treatment has been identified as a critical factor in prevention. Therefore, this research aimed to explore barriers and enablers in accessing HIV care and treatment services. Methods: This research was the first phase of a mixed-method analysis conducted in Kupang, a remote city in East Nusa Tenggara Province, Indonesia. Samples were taken by purposive sampling of 17 people interviewed, consisting of 6 mothers with HIV, 5 peer facilitators, and 6 health workers. Data were collected through semi-structured interviews, focus group discussions, observations, and document review. Inductive thematic analysis was also performed. The existing data were grouped into several themes, then relationships and linkages were drawn from each group of informants. Results: Barriers to accessing care and treatment were lack of knowledge about the benefits of ARV; stigma from within and the surrounding environment; difficulty in accessing services due to distance, time, and cost; completeness of administration; drugs' side effects; and the quality of health workers and HIV services. Conclusions: There was a need for a structured and integrated model of peer support to improve ARV uptake and treatment in pregnant women with HIV. This research identified needs including mini-counseling sessions designed to address psychosocial barriers as an integrated approach to support antenatal care that can effectively assist HIV-positive pregnant women in improving treatment adherence.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.249-251
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• 2020

본 논문에서는 코로나바이러스감염증19 사태가 국내 취업시장에 어떠한 영향을 미쳤는지에 대해 알아보기 위하여 빅데이터를 활용한 직업 관련 분석 및 시각화를 수행하였다. 빅데이터를 위한 기본 자료는 통계청 자료와 워크넷 Open API를 활용하였으며, 빅데이터 처리 과정을 거쳐 결과값을 예측을 시도하였다. 2020년도 워크넷 Open API를 통해 고용수와 통계청 자료를 통해 비교 분석 및 시각화를 실시하였고, 08년~20년 취업자수를 통해 시계열 분석 및 예측을 진행해 앞으로의 횡보를 예상해보았다. 분석한 결과 19년, 20년도를 비교 분석했을 때에는 크게 차이가 나지 않았다. 추가적으로 시계열 분석기법을 활용해 보았을 때 매년 고용수는 전체적으로 증가하고 4월에는 감소, 7월에는 증가하는 추세가 나왔다. 코로나바이러스감염증19 사태로 인해 공공기관과 언택트 시대에 따른 화상회의나 재택근무로 인해 운수·통신 취업률은 상승한다는 결과값이 도출되었고, 자영업이나 서비스 직업 등은 다른 직종에 비해 큰 감소를 보여줬으나 국가 경제 활성화에 따른 고용수는 점차 증가할 것이라 예측된다.

• Journal of Acupuncture Research
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• v.39 no.2
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• pp.105-114
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• 2022

Background: The objective structured clinical examination (OSCE) is used in the colleges of Korean Medicine, but few studies have validated the OSCE evaluation criteria or post-education questionnaires. Diagnostic ultrasound is used in Korean medicine treatment including acupuncture, acupotomy, and pharmacopuncture to increase the safety and efficacy of treatment. We aimed to develop and validate a OSCE checklist and questionnaire for diagnostic musculoskeletal ultrasound training. Methods: A OSCE checklist and rubric for diagnostic ultrasound training, and questionnaire was developed using literature research. Eight expert panelists verified each draft item in a single-round survey. Items with a content validity ratio (CVR) < 0.75 were excluded or modified to reflect the experts' opinions. Results: The OSCE checklist and rubric for diagnostic ultrasound training focusing on volar wrist and carpal tunnel syndrome included: 15 items revised according to CVR and expert opinions, the pre-examination procedure, structures to be identified by ultrasound, scans with 2 diagnostic criteria for carpal tunnel syndrome, an explanation of the exam results, and the post exam procedure. The questionnaire consisted of 15 items, including the overall evaluation of training, the effect of the OSCE, and the perception of the ultrasound. All 6 self-evaluation items were not revised, as they had a CVR of ≥ 0.75. Conclusion: An ultrasound OSCE for scanning the volar wrist and diagnosing carpal tunnel syndrome was developed using 15 validated tasks, 15 survey questions about ultrasound training, and 6 questions for self-evaluation. These results may be used in the future for education in diagnostic ultrasound.