• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.422-428
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• 2021

This study surveyed residents and public officials for the projects to make smart-city plans of Geumsan-gun. First, domestic and foreign cases related to smart city projects were reviewed. The local status of Geumsan-gun was investigated regarding various aspects of the natural, social, urban environment, and smart-city facilities. The survey results were as follows. Overall, more than half of the survey respondents said they were satisfied with their housing quality. Several problems in their areas, such as inefficient welfare system, shortage of parking space, and industrial infrastructure, were reported. On the other hand, tourism and leisure facilities, health care support systems, industries to boost the economy, and the job market were also important issues. The problem was that the regional problems mentioned above were not in line with their preferences for smart-city services. The implications of the survey results could be summed up as follows. The groupware surveys of Geumsan-gun should be used as survey tools, whereas IT survey tools (Google, Survey Monkey, etc.) should be used for locals. In particular, a survey targeting residents should ask plain and compact questions taking advantage of local gatherings. It is also important to have a pilot-survey with relevant public officials and select related projects and regional issues. The survey of local residents and public officials is a prerequisite for promoting smart city projects. The smart city project shall reflect the needs of residents while solving community problems by considering the survey results and local conditions.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.6
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• pp.197-204
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• 2015

Recent changes in health care environment including aging population and prevalence of chronic disease encourage the adoption of new innovative technological solutions including wearable vital sensors, wireless networks, and smart phone. In this paper, we present an effective at-home lifestyle monitoring system that can be used for self-management and health intervention of patient himself in the Management-by-Exception perspectives. We implemented the filtering and queuing algorithms as a preprocessor of monitoring system to enhance efficiency of proposed system, and the effective UX design for self-management of patients themselves. The 94,467 actual clinic data was used to test the efficiency of the proposed system. As as a result, 64.8% of the incoming vital data was identified to be filtered out.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.434-442
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• 2023

The relationship between acute kidney injury (AKI) prediction and nephrotoxic drugs, or drugs that adversely affect kidney function, is one that has yet to be explored in the critical care setting. One contributing factor to this gap in research is the limited investigation of drug modalities in the intensive care unit (ICU) context, due to the challenges of processing prescription data into the corresponding drug representations and a lack in the comprehensive understanding of these drug representations. This study addresses this gap by proposing a novel approach that leverages patient prescription data as a modality to improve existing models for AKI prediction. We base our research on Electronic Health Record (EHR) data, extracting the relevant patient prescription information and converting it into the selected drug representation for our research, the extended-connectivity fingerprint (ECFP). Furthermore, we adopt a unique multimodal approach, developing machine learning models and 1D Convolutional Neural Networks (CNN) applied to clinical drug representations, establishing a procedure which has not been used by any previous studies predicting AKI. The findings showcase a notable improvement in AKI prediction through the integration of drug embeddings and other patient cohort features. By using drug features represented as ECFP molecular fingerprints along with common cohort features such as demographics and lab test values, we achieved a considerable improvement in model performance for the AKI prediction task over the baseline model which does not include the drug representations as features, indicating that our distinct approach enhances existing baseline techniques and highlights the relevance of drug data in predicting AKI in the ICU setting.

• Journal of Electrical Engineering and Technology
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• v.11 no.6
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• pp.1857-1862
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• 2016

Human activity recognition using depth information is an emerging and challenging technology in computer vision due to its considerable attention by many practical applications such as smart home/office system, personal health care and 3D video games. This paper presents a novel framework of 3D human body detection, tracking and recognition from depth video sequences using spatiotemporal features and modified HMM. To detect human silhouette, raw depth data is examined to extract human silhouette by considering spatial continuity and constraints of human motion information. While, frame differentiation is used to track human movements. Features extraction mechanism consists of spatial depth shape features and temporal joints features are used to improve classification performance. Both of these features are fused together to recognize different activities using the modified hidden Markov model (M-HMM). The proposed approach is evaluated on two challenging depth video datasets. Moreover, our system has significant abilities to handle subject's body parts rotation and body parts missing which provide major contributions in human activity recognition.

• Journal of Biomedical Engineering Research
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• v.40 no.5
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• pp.197-205
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• 2019

The existing Extracorporeal membrane oxygenation(ECMO) and Cardiopulmonary bypass system(CPB) have been developed and applied to various devices according to their respective indications. However, due to the complicated configuration and difficult usage method, it causes inconvenience to users and there is a risk of an accident. Therefore, smart all-in-one cardiopulmonary circulation device is being developed recently. The smart all-in-one cardiopulmonary assist device consists of a blood pump for cardiopulmonary bypass, a blood oxidizer for cardiopulmonary bypass, a blood circuit for cardiopulmonary bypass, and an artificial cardiopulmonary device. It is an integrated cardiopulmonary bypass device that can be used for a variety of purposes such as emergency, intraoperative, post-operative intensive care, and long-term cardiopulmonary assist, combined with CPB used in open heart surgery and ECMO used when patient's cardiopulmonary function does not work normally. The smart all-in-one cardiopulmonary assist device does not exist as a standard and international standard applicable to advanced medical devices. Therefore, in this study, we will refer to the International Standard for Blood Components, the International Standard for Blood, the Guideline for Blood Products, and prepare applicable performance and safety guidelines to help quality control of medical devices, and contribute to the improvement of the health of people. The guideline, which is the result of conducted a survey of the method of safety and performance test, is based on the principle of all-in-one cardiopulmonary aiding device, related domestic foreign standards, the status of domestic and foreign patents, related literature, blood pump(ISO 18242), blood oxygenator (ISO 7199), and blood circuit (ISO 15676) for cardiopulmonary bypass.The items on blood safety are as follows: American Society for Testing and Materials ASTM F1841-97R17), and in the 2010 Food and Drug Administration's Safety Assessment Guidelines for Medical Assisted Circulatory Devices. In addition, after reviewing the guidelines drawn up through expert consultation bodies including manufacturers / importers, testing inspectors, academia, etc. the final guideline was established through revision and supplementation process. Therefore, we propose guidelines for evaluating the safety and performance of smart all-in-one cardiopulmonary assist devices in line with growing technology.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.235-251
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• 2019

The purpose of this study was to investigate the single-person household's demand for a wearable healthcare system that provides the ischemic heart disease and cardiopulmonary alarm to be developed. In this study, in-depth interviews were conducted with six unmarried individuals in their thirties who were in the workplace and the results were interpreted by Giorgi's phenomenological analysis method. The study results indicated that although the wearable healthcare system was implemented with high-technology functions that serve the intended purpose, it is necessary to comprehensively consider factors such as aesthetics, comfort, and ease of washing. In this study, we found that the variables influencing the interviewees' intent to accept healthcare services are complex and cannot be attributed to one factor alone; this study has also shown a variety of interpersonal correlations. In addition, although health-care research focusing on the elderly has been conducted in the past, it is suggested that younger generations such as those in their thirties can also be studied as health care service adopters.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.3
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• pp.427-440
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• 2020

This study developed a vest prototype capable of monitoring body temperature using textile electrodes to prevent the sudden death of babies as well as to determine the quality of developed products by evaluating usability with commercial products. Based on the results of the 7th Size Korea Project, a basic pattern for a vest prototype was drafted by applying the average size of two-year-old Korean babies. Two prototypes were the detachable (VEST I) and integrated textile electrodes vest type (VEST II), which followed the same design. The materials were 100% cotton single jersey (SJ) and double jersey (DJ). Six experts evaluated the usability of the developed vests (VEST I & VEST II) and commercial product (VEST M). The single-layer woven textile electrode appeared to have a slightly higher conductivity than the double-layer one. There was no statistical difference in the body temperature sensing function between VEST I and VEST II. Finally, the superiority of the VEST I was verified through a comparison with commercial products (VEST M). The usability test suggested that a wearable smart clothing system of the integrated conductive textile could be further commercialized for bio-monitor applications in Ubiquitous-health care.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.2
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• pp.529-546
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• 2012

To address the need for autonomous control of remote and distributed mobile systems, Machine-to-Machine (M2M) communications are rapidly gaining attention from both academia and industry. M2M communications have recently been deployed in smart grid, home networking, health care, and vehicular networking environments. This paper focuses on M2M communications in the vehicular networking context and investigates areas where M2M principles can improve vehicular networking. Since connected vehicles are essentially a network of machines that are communicating, preferably autonomously, vehicular networks can benefit a lot from M2M communications support. The M2M paradigm enhances vehicular networking by supporting large-scale deployment of devices, cross-platform networking, autonomous monitoring and control, visualization of the system and measurements, and security. We also present some of the challenges that still need to be addressed to fully enable M2M support in the vehicular networking environment. Of these, component standardization and data security management are considered to be the most significant challenges.

• Journal of Korean Academy of Nursing
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• v.45 no.3
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• pp.439-448
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• 2015

Purpose: The purpose of this study was to examine validity and reliability of Webel and colleagues'HIV Self-Management Scale when used with a Korean sample. Methods: The original 20-item HIV Self-Management Scale was translated into Korean using translation and back-translation. Nine HIV nurse experts tested content validity. Principal component analysis (PCA) and confirmatory factor analysis (CFA) of data from 203 patients was used to test construct validity. Concurrent validity was evaluated using correlation with patients'self-rating as a "mart patient"measured using a visual analogue scale. Internal consistency was tested by Cronbach' alpha coefficients. Results: All items were rated as having satisfactory content validity. Based on PCA and consideration of conceptual meaning, a three-factor solution was selected, explaining 48.76% of the variance. CFA demonstrated the adequacy of the three-domain structure of the construct HIV self-management: daily self-management health practices, social support and HIV self-management, and chronic nature of HIV self-management. Goodness-of-fit indices showed an acceptable fit overall with the full model (${\chi}^2/df_{(164)}=1.66$, RMSEA=0.06, SRMR=0.05, TLI=0.91, and CFI=0.92). The Korean version of the HIV Self-Management Scale (KHSMS) was significantly correlated with patients'self-rated smart patient (r=.41). The subscale Cronbach' alpha coefficients ranged from .78 to .81; alpha for the total scale was .89. Conclusion: The KHSMS provides a valid and reliable measure of self-management in Korean patients with HIV. Continued psychometric testing is recommended to provide further evidence of validity with this population.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.378-387
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• 2018

With the advent of the fourth industrial revolution in recent years, the field of health care services is getting attention again. Accordingly, personalized medical systems through smart products are emerging in various forms. With the use of wearable tech and sensor system, health management and monitoring can be done anytime, anywhere without help of others. However, healthcare services for pregnant women are very scarce. Due to the low fertility rate the number of obstetrics and gynecology is decreasing and as a result, environment surrounding the uncomfortable pregnant women is getting worse. Pregnant women are unable to take a comfortable sleeping posture due to pregnancy. Various environmental factors such as noise, temperature and humidity decrease the quality of sleeping of pregnant women and hinder happy preaching. The purpose of this study is to develop a UI design that can manage sleeping by providing good sleeping posture information and improved sleeping environment for the health of pregnant women. We expect to apply the sensor technology of the 4th industrial age to maximize the sleep quality and quality of life of expectant mothers.