• Journal of Platform Technology
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• v.9 no.3
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• pp.36-43
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• 2021

Stroke disease is one of the leading causes of death worldwide, and in particular, it is the most important causative disease that causes disability in the elderly. Since stroke disease often causes death or serious disability, active primary prevention and early detection of prognostic symptoms are very important. In particular, it is necessary to detect and accurately predict stroke prognostic symptoms in daily life and prompt diagnosis and treatment by medical staff. In recent studies, image analysis such as computed tomography (CT) or magnetic resonance imaging (MRI) is mostly used as a methodology for predicting prognostic symptoms in stroke patients. However, this approach has limitations in terms of long test time and high cost. In this paper, we experimented with clinical data on how stroke disease affects foot pressure in elderly in walking. Experiments have shown that there is a significant difference in * p < .05 in 12 cells between the stroke elderly and the normal elderly during walking. As a result, it is significant that we found a significant difference in the gait patterns in daily life of the stroke elderly and the normal elderly.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.571-576
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• 2021

This study was carried out to overcome the problems of the existing fitness business and to build a fitness system that can meet the increased demand in the Corona situation. As a platform technology for non-face-to-face fitness edutainment service, it is a next-generation fitness exercise device that can use various body parts and synchronize network-type information. By synchronizing the exercise information of the fitness equipment, it was composed of learning contents through MR-based avatars. A quantified result was derived from examining the applicability of the customized evaluation system through momentum analysis with A.I analysis applying the LSTM-based algorithm according to the cumulative exercise effect of the user. It is a motion capture and 3D visualization fitness program for the application of systematic exercise techniques through academic experts, and it is judged that it will contribute to the improvement of the user's fitness knowledge and exercise ability.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.89-104
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• 2021

Food delivery service combined with IT technology and HMR (Home Meal Replacement) are rapidly growing due to the COVID-19. Recently, the demand for salads along with HMR has increased among office workers in their 20s and 30s who are interested in health and beauty. Freshcode is a food startup with 6 years of experience that started selling salad products through O2O service. Freshcode applied for a patent for a service that collects orders from nearby areas and delivers them on the same day to a designated delivery address 'FCOSPOT' to save shipping costs. In March 2021, in recognition of the growth potential of the regular delivery service, Freshcode received an investment of 6 billion won in Series A. This study may have practical implications to early-stage startups and scale-up stage startups through a longitudinal case study on the growth of a single company. As for the research method, the lean startup methodology and lean canvas were used in the early stage of startup. In particular, the process of the build-measure and learn feedback-loop, which is the core of lean startup methodology, was applied to each major decision-making step. In the scale-up stage after 5 years, the business model canvas was used to schematize the growth as a food online O2O platform to verify continuous innovation. This case study has three main findings. First, the idea of 'FCOSPOT' was successfully implemented through the Lean Startup methodology. Second, Freshcode demonstrated the scalability of the differentiated business model of shared base delivery O2O. Third, a key factor of success was the digital integrated communication operation strategy that maximizes the experience for the created customers.

• Korean Journal of Exercise Nutrition
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• v.25 no.3
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• pp.28-35
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• 2021

[Purpose] As Panax ginseng C. A. Meyer (ginseng) exhibits various physiological activities and is associated with exercise, we investigated the potential active components of ginseng and related target genes through network pharmacological analysis. Additionally, we analyzed the association between ginseng-related genes, such as the G-protein-coupled receptors (GPCRs), and improved exercise capacity. [Methods] Active compounds in ginseng and the related target genes were searched in the Traditional Chinese Medicine Database and Analysis Platform (TCMSP). Gene ontology functional analysis was performed to identify biological processes related to the collected genes, and a compound-target network was visualized using Cytoscape 3.7.2. [Results] A total of 21 ginseng active compounds were detected, and 110 targets regulated by 17 active substances were identified. We found that the active compound protein was involved in the biological process of adrenergic receptor activity in 80%, G-protein-coupled neurotransmitter in 10%, and leucocyte adhesion to arteries in 10%. Additionally, the biological response centered on adrenergic receptor activity showed a close relationship with G protein through the beta-1 adrenergic receptor gene reactivity. [Conclusion] According to bioavailability analysis, ginseng comprises 21 active compounds. Furthermore, we investigated the ginseng-stimulated gene activation using ontology analysis. GPCR, a gene upregulated by ginseng, is positively correlated to exercise. Therefore, if a study on this factor is conducted, it will provide useful basic data for improving exercise performance and health.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.405-413
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• 2022

Since the COVID-19 outbreak, the active utilization of new health care service utilizing the ICT technology and data science such as telemedicine, smart hospital, AI dignosis has been increasingly found. In this study we examined the business model of Amazon healthcare which leads disruptive innovation in U.S. health care industry with the introduction of hybrid model of telemedicin, in-person care and customer-centric online drug delivery, home-use diagnostic kit, characterized by the integrated model combining medical care, drug delivery and the use of diagnostic kit. We showed using the multiproduct competition model that the synergy effect between the Amazon's original business areas and the healthcare business area causes the active market penetration and the increase in the customer value from utilization of the Amazon care. Using Hotelling's spatial competition model, we also showed that the competition in the health care market can be greater when consumer's choice of health care providers are available in telemedicine platform. In the long, run the issue of competition being weakened due to the exit of less competent healthcare providers may arise, to which the policymakers in the charge of fair competition in health care industry should pay attention.

• Journal of Intelligence and Information Systems
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• v.9 no.1
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• pp.91-107
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• 2003

In the conduct of this study, a web-enabled healthcare system for the management of hypertension was implemented through a hyperlink-based inference approach. The hyperlink-based inference platform was implemented using the hypertext capacity of HTML which ensured accessibility, multimedia facilities, fast response, stability, ease of use and upgrade, and platform independency of expert systems. Many HTML documents, which are hyperlinked to each other based on expert rules, were uploaded beforehand to perform the hyperlink-based inference. The HTML documents were uploaded and maintained automatically by our proprietary tool called the Web-Based Inference System (WeBIS) that supports a graphical user interface (GUI) for the input and edit of decision graphs. Nevertheless, the editing task of the decision graph using the GUI tool is a time consuming and tedious chore when the knowledge engineer must perform it manually. Accordingly, this research implemented an automatic generator of the decision graph for the management of hypertension. As a result, this research suggests a methodology for the development of Web-enabled healthcare systems using the hyperlink-based inference approach and, as an example, implements a Web-enabled healthcare system for hypertension, a platform which performed especially well in the areas of speed and stability.

• The Journal of Korean Physical Therapy
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• v.11 no.3
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• pp.71-79
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• 1999

본 연구의 목적은 균형 훈련이 중추신경계 손상자들의 자세 조절 및 중추감각신경전도로에 미치는 영향을 규명하는데 있다. 연구대상자는 중추신경계 손상자로써 실험군 10명, 통제군 10명 등 총 20명을 선정하였으며, 실험군은 본 연구의 훈련 프로그램에 따라 12주간 force platform을 이용하여 균형훈련을 실시토록하였다. 자세조절 변인의 측정은 운동처치 전, 처치 후 8주 및 12주 후에 대상자들의 동적 및 정적 자세에서의 흔들림을 Dynamic Balance System을 이용하여 측정하였고, 체성감각 유발전위의 말초신경 근위부 유발전위$(N_9)$ 잠복기, 척수 유발전위$(N_{13})$ 잠복기, 뇌 유발전위 $(N_{20})$ 잠복기는 Neurotec을 이용하여 측정 분석한 결과 다음과 같은 결론을 얻었다. 1. 정적 자세 조절 요인의 경우, 좌우 흔들림과 전후 흔들림은 실험군에서 8주 후부터 유의하게 (p<.05) 감소하였고, 실험군이 통제군에 비해 운동처치 8주 및 12주 후에 각각 유의하게(P<.05, P<.01) 흔들림이 감소하였다. 2. 전후 이동면과 전후 기울기면에서 동적 자세 조절의 변화는 전후 이동면에서 좌우 흔들림과 전후 흔들림은 실험군에서 8주 후부터 유의하게 (P<.05) 감소하였으며, 실험군이 통제군에 비해 운동처치 8주 및 12주 후에 각각 유의하게 (P<.05, p<.01) 흔들림이 감소하였다. 3. 체성감각 유발전위의 잠복기 변화는 실험군과 통제군에 있어서 말초신경 근위부 유발전위$(N_9)$ 잠복기와 척수 유발전위$(N_{13})$ 잠복기가 다소 증가하였으나 유의한 차이는 나타나지 않았으며, 실험군에 있어서 뇌 유발전위 $(N_{20})$ 잠복기는 8주 후부터 유의하게 (P<.05) 증가하였다. 이상의 결과를 종합해 볼 때, 12주의 균형 훈련은 자세 조절에 있어서 전후와 좌우의 흔들림을 감소시킴으로써 정적인 상태나 동적인 상태에서의 자세 안정성을 증가시킬 수 있음을 시사하고 있다. 이는 자세 조절에 필요한 항중력근의 긴장성 수축을 유발시킬 뿐만 아니라 근육 긴장분포를 조절할 수 있다는 것으로 신경근 조절 기능의 향상을 의미하는 것으로 사료된다. 또한 뇌 유발전위 $(N_{20})$ 잠복기의 증가는 중추신경계의 감각기능의 신경학적 회복을 의미하는 것으로 중추신경계의 감각 운동통합에도 영향을 미쳐 운동기능의 향상을 기대할 수 이을 것으로 사료된다.

• Journal of the Korea Institute of Construction Safety
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• v.2 no.1
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• pp.28-35
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• 2019

The average number of deaths in the construction industry reaches 500 per year, and in particular, it is confirmed that the type of accidents and deaths caused by disasters such as work platforms has occupied more than 60% of the total. In this study, we presented a structured and combined solution for technology, management, education, and cost that can solve systematically, politically, and external environmental factors as well as direct influence factors. In addition, we examined the safety and safety standards of domestic and international safety, and discussed implications. First, direct impact factors, organizational impact factors, policy influence factors, and external environmental impact factors were examined and classified into technical, education, and institutional dimensions. Second, in relation to the installation of the work scaffold, the standards (OSHA 1926.452), UK (The Work at Height Regulations 2005 No.735, BS5975), Japan (Labor Safety and Sanitation Regulations) and Germany (DIN 4420_4, DIN EN12810). In the case of domestic safety standards, similar to the foreign safety standards, safety measures such as materials and specifications are applied. However, details related to the installation, assembly and structure of the work platform are somewhat different from those in the United States and the United Kingdom excluding Japan. Using the results of this study, it is possible to understand the cause of the accident of foot pedestrian accident more systematically and comprehensively, and safety managers and researchers are expected to help in the accident investigation.

• Journal of the Korean Society of Radiology
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• v.13 no.4
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• pp.605-611
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• 2019

The purpose of this study is to manufacture a multi-function device (MFD) which can be applied to various types of weight-bearing view of the lower leg, and to compare the results with the images from the existing weight-bearing platforms (WBPs), thereby suggesting a clinical utilization. The MFD was manufactured, by considering the minimum adjustable heights of the platform for weight-bearing foot/ankle, platform for hindfoot alignment view, and X-ray tube of the X-ray device. A foot/ankle phantom was used to take the images of weight-bearing lateral foot in MFD and WBPs to compare the resolutions of the X-ray images using a quick modulation transfer function (MTF) program. Between both the images taken from the MFD and WBPs, there was no statistically significant difference found in the mean cycles per pixel (C/P) and the lines per image height (LPH) of the 50%-Contrast Spatial Frequency (MTF50), and 10-90% of Maximum Energy Rise Distance (10-90%), where p>0.05. The MFD is suggested for its clinical trial as a useful positioning device that can secure the patient's safety and manifoldly perform various inspections. Also, the recommendation of the positioning device as a policy can activate dedicated manufacturers, while also improving the quality of medical services.

• Journal of Internet Computing and Services
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• v.21 no.6
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• pp.95-104
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• 2020

In this paper, we propose the real time indoor air quality monitoring and controlling platform on cloud using IoT sensor data such as PM10, PM2.5, CO2, VOCs, temperature, and humidity which has direct or indirect impact to indoor air quality. The system is connected to air ventilator to manage and optimize the indoor air quality. The proposed system has three main parts; First, IoT data collection service to measure, and collect indoor air quality in real time from IoT sensor network, Second, Big data processing pipeline to process and store the collected data on cloud platform and Finally, Big data analysis and visualization service to give real time insight of indoor air quality on mobile and web application. For the implication of the proposed system, IoT sensor kits are installed on three different public day care center where the indoor pollution can cause serious impact to the health and education of growing kids. Analyzed results are visualized on mobile and web application. The impact of ventilation system to indoor air quality is tested statistically and the result shows the proper optimization of indoor air quality.