• Journal of Korea Society of Industrial Information Systems
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• v.25 no.6
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• pp.47-54
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• 2020

The acupressure is a treatment that applies pressure to certain parts of the body and has been mainly used for pain relief in the field of oriental medicine. However, the treatment effect is often different depending on the practitioner's ability, experience, and physical strength, so standardized acupressure is needed. In this regard, the equipment is being released, but this is mainly a rolling massage method, which reduces energy concentration and poses a risk of injury. Therefore, in this study, a device that provides vertical acupressure based on variable bogie (wheel truck) was implemented. As a result of experimenting with load and body pressure distribution and desirability to validate the device's bearing pressure, the acupressure rod held up to 150kg, the body pressure ratio was measured lower than the body pressure ratio of the comparison item in section 0%

• KIPS Transactions on Software and Data Engineering
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• v.10 no.4
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• pp.133-142
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• 2021

With the recent advancements of deep learning, companies such as smart home, healthcare, and intelligent transportation systems are utilizing its functionality to provide high-quality services for vehicle detection, emergency situation detection, and controlling energy consumption. To provide reliable services in such sensitive systems, deep learning models are required to have high accuracy. In order to develop a deep learning model for analyzing previously mentioned services, developers should utilize the state of the art deep learning models that have already been verified for higher accuracy. The developers can verify the accuracy of the referenced model by validating the model on the dataset. For this validation, the developer needs structural information to document and apply deep learning models, including metadata such as learning dataset, network architecture, and development environments. In this paper, we propose a description language that represents the network architecture of the deep learning model along with its metadata that are necessary to develop a deep learning model. Through the proposed description language, developers can easily verify the accuracy of the referenced deep learning model. Our experiments demonstrate the application scenario of a deep learning description document that focuses on the license plate recognition for the detection of illegally parked vehicles.

• Journal of Industrial Convergence
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• v.22 no.2
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• pp.97-103
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• 2024

The purpose of this study was to examine the impact of balance training on the Inbody and recovery of the balance capability in stroke patient with obesity. The exercise program was to conduct obesity group and normal weight group, 22 subjects were divided equally into experimental(obesity) and controlled group(normal weight), assigned to excercise using the balance training system for 30min a day and 5 days a week. Every pre and post-experimental data of both groups were gathered by Inbody and BSS(Biodex Medical Systems) for 8 weeks. As a result, Comparing the intra-group data measured by Inbody, obesity group showed significant difference in every parameter (p<.05). In the inter-group data, every parameter showed significant difference between both groups (p<.05). Comparing the intra-group data of LOS(Limits Of Stability), obesity group showed significant difference with all parameters, except with 'Backward' and 'Left' (p<.05). In the inter-group data, 'Forward' parameter showed significant difference. Comparing the intra-group data of PS(Postural Stability), obesity group showed significant difference with all parameters (p<.05). The inter-group PS(Postural Stability) results differed significantly only with 'Med/lat'(p=.000). The above results implicate about the following conclusions that the balance training had a big effect on the Inbody and recovery of the balance capability in stroke patient with obesity.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.135-144
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• 2024

In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.

• Information Systems Review
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• v.25 no.1
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• pp.93-110
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• 2023

Recently, attempts have been made to convert unstructured text into vectors and to analyze vast amounts of natural language for various purposes. In particular, the demand for analyzing texts in specialized domains is rapidly increasing. Therefore, studies are being conducted to analyze specialized and general-purpose documents simultaneously. To analyze specific terms with general terms, it is necessary to align the embedding space of the specific terms with the embedding space of the general terms. So far, attempts have been made to align the embedding of specific terms into the embedding space of general terms through a transformation matrix or mapping function. However, the linear transformation based on the transformation matrix showed a limitation in that it only works well in a local range. To overcome this limitation, various types of nonlinear vector alignment methods have been recently proposed. We propose a vector alignment model that matches the embedding space of specific terms to the embedding space of general terms through end-to-end learning that simultaneously learns the autoencoder and regression model. As a result of experiments with R&D documents in the "Healthcare" field, we confirmed the proposed methodology showed superior performance in terms of accuracy compared to the traditional model.

• The Korean Journal of Nuclear Medicine Technology
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• v.17 no.1
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• pp.36-42
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• 2013

Purpose: Recently with CT developed, various studies for reduction of exposure dose is underway. Study of bismuth shields in these studies is actively underway, and has already been applied in the clinical. However, the application of the PET/CT examination was not activated. Therefore, through this study, depending on the application of bismuth shields in the PET/CT examination, we want to identify the quality of the image and the impact on the SUV. Materials and Methods: In this study, to apply to the shielding of the breast, by using the bismuth shields that contains 0.06 mmPb ingredients, was applied to the PET/CT GEMINI TF 64 (Philips Healthcare, Cleveland, USA). Phantom experiments using the NEMA IEC Body Phantom, images were acquired according to the presence or absence of bismuth shields apply. Also, When applying, images were obtained by varying the spacing 0, 1, 2 cm each image set to the interest range in the depth of the phantom by using EBW-NM ver.1.0. Results: When image of the PET Emission acquires, the SUV was in increased depending on the use of bismuth shields, difference in the depth to the surface from deep in the phantom increasingly SUV increased (P<0.005). Also, when using shields, as the more gab decreased, SUV is more increased (P<0.005). Conclusion: Through this study, PET/CT examination by using of bismuth shields which is used as purpose of reduction dose be considered. When using shields, the difference of SUV resulting from the application of bismuth shields exist and that difference is more decreased as gab of shields and surface is wider. Therefore, setting spacing of shield should be considered, if considering the reduction of the variation of SUV and image quality, disease of deep or other organs should be a priority rather than superficial disease. Through this study, when applying identified to clinical examination, the reduction of unnecessary exposure is considered.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.4
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• pp.2159-2165
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• 2013

Cancer registries help to establish and maintain cancer incidence reporting system, serve as a resource for investigation of cancer and its causes, and provide information for planning and evaluation of preventive and control programs. However, their wider role in directly enhancing oncology drug access has not been fully explored. We examined the value of cancer registries in oncology drug access in the Asia-Pacific region on three levels: (1) specific registry variable types; (2) macroscopic strategies on the national level; and (3) a regional cancer registry network. Using literature search and proceedings from an expert forum, this paper covers recent cancer registry developments in eight economies in the Asia-Pacific region - Australia, China, Hong Kong, Malaysia, Singapore, South Korea, Taiwan, and Thailand - and the ways they can contribute to oncology drug access. Specific registry variables relating to demographics, tumor characteristics, initial treatment plans, prognostic markers, risk factors, and mortality help to anticipate drug needs, identify high-priority research area and design access programs. On a national level, linking registry data with clinical, drug safety, financial, or drug utilization databases allows analyses of associations between utilization and outcomes. Concurrent efforts should also be channeled into developing and implementing data integrity and stewardship policies, and providing clear avenues to make data available. Less mature registry systems can employ modeling techniques and ad-hoc surveys while increasing coverage. Beyond local settings, a cancer registry network for the Asia-Pacific region would offer cross-learning and research opportunities that can exert leverage through the experiences and capabilities of a highly diverse region.

• The Journal of Korean Society for School & Community Health Education
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• v.20 no.3
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• pp.67-82
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• 2019

Objectives: The purpose of this study is to analyze how the different lifestyles between Koreans and Korean Americans have significant effects on their health. Despite being the same race, Koreans and Korean Americans have different health conditions and health attitudes due to the acquired environmental factors such as social-economic factors, lifestyle risk factors, healthcare systems, and medical utilization. It is crucial to examine how the different lifestyle habits between Koreans and Korean Americans lead to various health conditions for establishing an effective health promotion policy. Methods: In this study, a comparative analysis was conducted using the National Health and Nutrition Survey of Korea and CHIS data of the United States in 2005 and 2015 to provide valuable insights when establishing such a policy. Results: The specific research purpose is as follows: First, socioeconomic factors, such as (1)living habits risk factors, (2)health satisfaction levels, (3)disease outbreaks, and (4)medical uses, are analyzed to find the distinct characteristics among Koreans, Korean Americans, and Americans. Second, the three groups --Koreans, Korean Americans, and Americans-- were compared based on their exposure to disease-related lifestyle risk factors related to their body mass index and their general health condition. The research results are as follows: First, all three groups improved health conditions in 2015 better than in 2005. Koreans maintained relatively higher general health conditions compared to other groups: their prevalence rate of chronic diseases such as diabetes, high blood pressure, heart disease, and asthma was lower than that of U.S. residents. Second, in regards to health behavior factors, the lifetime smoking experience for Koreans and Americans both decreased in 2015 compared to 2005, while the lifetime smoking experience for Korean Americans increased slightly. The number of smokers for Koreans has greatly decreased over a decade while that of Americans has moderately increased. Third, according to the results of the multiple regression, the general health conditions, which is a dependent variable, suggests that the number of men who answered they are healthy is greater than that of women in Korea, compared to the United States. Conclusions: In conclusion, the acquired environmental factors had more significant impacts on health than the racial factors did. Compared to 2005, the health behaviors and health levels of Korean Americans in 2015 gradually became more similar to those of Americans.

• Research in Community and Public Health Nursing
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• v.11 no.1
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• pp.231-244
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• 2000

Parish nursing is a community health nursing role developed in 1983 by Lutheran Chaplain Granger Westberg. An increasing emphasis on holistic care, personal responsibility for a healthy lifestyle, and changes in healthcare delivery systems have undoubtedly facilitated the establishment of an innovative nursing role in the community. Parish nurses are functioning in a variety of church congregations of various denominations. The parish nurse is a educator, a personal health counselor, a coordinator of volunteers. The parish nurses helps people relate to the complexed medical care system and assists people to integrate faith and health. The purpose of this study is to investigate what the korean parishioners want in parish nursing and what type of role expectation from parish nurse. The subjects were 1138 parishioners of 23 churches of various denominations in nationwide Korea. Data were collected by self-reported question naires from Feb 4 to June 25. 1999. The data were analyzed by using percentage. frequency. $x^2-test$. multiple Response set with SPSS program. The results are as follows: 1. Desired parish nursing contents by parish nurses are: psychological counselling(23.4%) out of private counselling. stress management(21.1 %) out of private health education. Emergency care(14.1%) out of group health education. Blood Pressure check-ups (19.0%) out of Health check ups. home visiting(44.9%) out of patient visiting method. B T. pulse, respiration and blood pressure check(15.0%) in Care to serve in home visiting. spiritual preparation to accept the death(41.7%) in hospice care, advices to choice of medical treatment using guide(50.1%) in introducing and guiding of health care facilities, pray(21.7%) in spiritual care' faith support. 2. Desired Health Teaching Content According to Period of Clients by Parish Nurse are: Vaccination(22.5%) in infant and toddler health management. sexual education(25.3%) in adolescent health management. prenatal care (29.5%) in pregnant health management. osteoporosis prevention and management (22.4%) in Middle aged health management. dementia prevention and management(25.5%) in elderly health management. 3. The expectant role from parish nurse is spiritual care faith support(14.1%). patient visiting care(13.2%), hospice care(12.9%), private counseling(12.8%), health check ups (11.1 %), volunteer organization and training out of believer(11.0%), private health education (9.3%), group health education (8.3%). 4. In Necessity of Performing Parish Nursing according to Region, Most(over 95%) responded that nursing program is needed. so there is no significance between regions. In Performing Parish Nursing in their church, Most(92.2%) responded they want to perform program. 5. In case of performing parish nursing, 52% out of the subjects responded they want to participated in parish nursing volunteer's activity, for example. to be in active to be a companion to chat(42.1%), necessity support (25.3%), donation support(25.0%), exercise support(18.2%), vehicles support (9.9%). As a result. in holistic care and spiritual care, the need of parish nursing and the role expectation from parish nurse are very high among korean believers. Therefore, I suggest parish nursing centering around Taegu and Kyungbuk province should be extended to nationwide. For extending parish nursing program. more active advertisement and research is needed. After performing parish nursing program through out the country, further comparative research between regions should be practiced and Korean parish nursing program will be developed and activated.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.12
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• pp.1189-1193
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• 2010

Mobility management is one of the most important research issues in 6LoWPAN, Since the IP-WSN application domain is expanded to real-time applications such as healthcare and surveillance systems, a fast and seamless handover becomes an important criterion in 6LoWPAN. However, a draft of IETF 6LoWPAN WG for mobility support does not decrease handover delay. Although LoWMob supports a fast intra-PAN handover. it can be supported when the infrastructure node has the location information of the other nodes in the mobile node's moving direction. In this paper, we propose a fast and seamless mobility protocol to support intra-PAN handover, named intra-MARIO. In intra-MARIO, a parent node of the mobile node preconfigures its handover to the PAN when the parent node detects its movement, thereby reducing the handover delay. Since intra-MARIO also supports route optimization, the mobile node can communicate with its corresponding nodes through the optimal route. In this paper, we analysis the signaling cost and evaluates that the handover can be completed in 20ms by simulation.