• 한국노년학
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• v.38 no.3
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• pp.569-592
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• 2018

This study purported to investigate the current state of human rights of older adults residing in rural areas of Korea. The study utilized, as an analytic framework, 4 priority directions (1. "older persons and development", 2. "rural area development", 3. "advancing health and well-being into old age", and 4. "ensuring enabling and supportive environments") with 13 task actions recommended by Madrid International Plan of Action on Ageing (MIPAA). Furthermore, the study examined gender differences in all items included in the analytic framework. Data was collected by the face-to-face survey on 800 subjects aged 65 and over. Statistical analyses were conducted using STATA 13.0 program. The main results were summarized in order of 4 priority directions as follows. First, average working hours per day were 6.2, and men reportedly participated in economic activities and needed job training more than women, while women participated in lifelong education programs more than men. Awareness of fire and disaster prevention facilities was low in both genders. Second, accessibility to the support center for the elderly living alone as well as protective services for the vulnerable elderly was found to be low. IT-based services and networking were used more by men than women, and specifically, IT-based financial transactions and welfare services were least used. Third, medical check-ups and vaccinations were well received, while consistent treatments for chronic illnesses and long-term care services were relatively less given. In addition, accessibility to mental health service centers was considerably low. Fourth, although old house structures and the lack of convenience facilities were found to be circumstantial risk factors for these elders, experiences of receiving housing support services were scarce. The elderly were found to rely more on informal care, and concerns for their care were higher in women than men. Plus, accessibility to elderly abuse services was markedly low. Based on these results, discussed were implications for implementing policies and practical interventions to raise the levels of the human rights for this population.

• Journal of Venture Innovation
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• v.5 no.1
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• pp.19-37
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• 2022

The purpose of this study was to find out what could be the cause of increasing the re-use intention for the continuous management of customers in terms of finding a strategic plan for the survival of Medium Sized Hospital To this end, a hypothesis for the direct effect verifying the structural relationship, a hypothesis for the mediating effect of attachment, and a hypothesis for the moderating effect on the hospital image were presented. The survey analysis results for customers who experienced the services of 5 Medium Sized Hospital in Gyeonggi-do were as follows. First, The results of analysis of the effect of Medium Sized Hospital customers' perceived value on reuse intention are as follows. all sub-factors of perceived value did not have a significant effect on reuse intention. This is significant in that it shows that the change occurred due to the involvement of attachment. Second, the results of examining the mediating effect of attachment in the relationship between the perceived value of small and medium hospital customers and their intention to reuse are as follows. Attachment to doctor's competency significantly mediated the relationship between quality value and reuse intention, emotional value and reuse intention, and social value and reuse intention. Significantly mediated the relationship between the provinces and the relationship between the price value and the intention to reuse. Third, hospital image significantly adjusted the relationship between quality value and medical technology competency. Based on the above results, it is necessary to establish a strategy of value perceived by customers as a strategy to increase the reuse intention of small and medium hospital customers. Therefore, the strategic goal setting of this value should be 'promoting attachment', and since the hospital image adjusts the perceived value and attachment of small and medium hospital customers, it is an image strategy that allows customers to appreciate their attachment to doctors and medical technology more highly. will have to establish.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.861-866
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• 2023

Individuals with visual impairments face difficulties in accessing accurate information about medical services and medications, making it challenging for them to ensure proper medication intake. While there are healthcare laws addressing this issue, there is a lack of standardized solutions, and not all over-the-counter medications are covered. Therefore, we have undertaken the design of a mobile application that utilizes image recognition technology, barcode scanning, and QR code recognition to provide guidance on how to take over-the-counter medications, filling the existing gaps in the knowledge of visually impaired individuals. Currently available applications for individuals with visual impairments allow them to access information about medications. However, they still require the user to remember which specific medication they are taking, posing a significant challenge. In this research, we are optimizing the camera capture environment, user interface (UI), and user experience (UX) screens for image recognition, ensuring greater accessibility and convenience for visually impaired individuals. By implementing the findings from our research into the application, we aim to assist visually impaired individuals in acquiring the correct methods for taking over-the-counter medications.

• Journal of agricultural medicine and community health
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• v.29 no.2
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• pp.287-301
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• 2004

Objectives: The development of internet programs for smoking cessation was motivated to quit smoking in the large group of smokers. This personalized program consisted of tailored message to consider the smokers characteristics, and contain the informations on the outcomes of smoking cessation and the skills to be used in the quit attempts. The purpose of this study was to develop the internet management program and information push-delivery system for smoking cessation to encourage the personal intention to quit smoking. Methods: We conducted in 3 steps as developing push service to encourage intention of smoking cessation, analyzing problems of smoking cessation program through the pilot test and suggesting improvements by implication stages. Results: This program is delivered for 30 days. if the participants do not fail to quit smoking. The contents consisted of 13 stages which were divided on starting period. practical period, maintenance period and success period. And push service afforded the tailored message to participants using their e-mail. According to the evaluation of pilot test, the problems of internet information push-delivery service for smoking cessation were the over-tasks per visiting time, recording style of participants, difficulty of terms and sentences, lack of visual effects, absence of follow-up module and unsuitable link with main homepage. Improvements were divided on 3 stages by implication period. The first stage included the immediate improvements as improving link with homepage, modifying menu of smoking information and upload file of notice part. The second stage included the short term improvements as alleviating condition of withdrawal, coordinating start stage of retrial, modifying errors of information push-delivery service and addition of educational materials. The third stage included the long term improvements as development of follow-up module, cost-effectiveness evaluation, reducing contents quantity, introduction of checking style, compensation of graphics effect and review for SMS utilization. Conclusions: This program contribute to improving smoking cessation rate. Therefore this program should be tested in a community to evaluate the effectiveness. To promote the effectiveness, this program should be developed the contents and the strategies for various targets, and established the follow-up system for ex-smokers.

• Proceedings of The Korean Society of Health Promotion Conference
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• 2005.09a
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• pp.55-88
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• 2005

Healthy Japan 21의 목적은 삶의 질을 향상시킴은 물론 노동가능 인구집단의 유병률을 줄이고 건강수명을 연장시키기 위하여, 21세기 모든 일본인들이 더욱 건강하고 행복한 삶을 향유할 수 있도록 국가사업을 활성화하는 것이다. 구체적 목적은 조기사망을 예방하고 건강생활을 향상하는 것으로, Healthy Japan 21의 전략적 기획과정에서 건강수명의 연장을 실현하기 위하여 2010년까지 달성되어야 하는 구체적인 목적들이 또한 제시되었다. 조기사망을 감소시키기 위하여 사고, 암, 자살, 심장병 감소의 중요성을 인식하고 9개의 주요 목표로 영양, 신체활동, 휴식과 이완, 금연, 절주, 구강보건, 당뇨병 예방, 심혈관계질환 예방, 암 예방을 설정하였다. 흡연, 알콜, 식사 그리고 운동과 같은 생활양식은 스트레스, 비만, 고혈압과 같은 위험요인 및 질병관리와 관련이 있으며, 위험요인은 암, 심장병, 구강질환의 발생과 밀접한 관련을 갖는다. 따라서 질병의 발생을 예방하기 위해서는 건강증진과 일차예방이 강조되어야 한다. 일차예방에 중점을 두기 위해서 우리는 전통적인 질병관리의 중점사항인 정기적인 건강검진을 통해 질병 조기발견을 노력을 게을리 하지 말아야 할 것이다. 아울러 의료비 감소, 병상에 있는 사람들의 감소, 사회세의 감소도 또한 달성되어야 하는 사업의 결과로 설정되어 있다. 가장 최근의 Healthy Japan 2000(1998-99)의 평가에 따르면 목표들의 15%가 달성되었거나 초과 달성된 것으로 나타났다. 이 중 아동과 청소년의 사망률의 경우, 1-14세 아동의 사망률은 1987년부터 26%가 감소되어 2000년도 목표인 인구 100,000명단 28명의 사망을 초과 달성한 것으로 평가되었다. Healthy Japan 21의 두 가지 주요 전략은 일반 인구집단을 위한 전략과 고위험 집단을 대상으로 하는 전략으로 구성된다. 개인의 건강한 생활양식으로의 변화를 포함한 우리의 건강증진 노력은 사람 중심으로 개인의 선택을 기반으로 하고 있다. 이러한 노력을 지원하기 위하여, 각 개인이 정보를 갖은 상태에서 올바른 선택을 할 수 있도록 적당량의 올바른 정보를 제공하는 것이 필수적이다. 이와 같은 일본의 건강증진계획은 2000년 3월에 Healthy Japan 21이 설립되었으며, 2000-2002년 사이 모든 현이 자신의 사업계획을 설정하였으며, 2001-2005년에는 약 반수 정도의 지방자치단체들이 자신들의 사업계획을 확정하였다. 건강증진을 이루는 중요한 수단은 파트너 쉽에 있다. 정부조직 뿐 아니라 건강보험회사, 보건의료서비스 제공자, 교육단체, 대중매체, 사기업, 봉사단체 등을 포함한 건강분야의 조직들은 자신들의 전문적 기술들을 한데 모아 서로 협력하여야 한다. 또 하나의 중요한 수단은 건강 지지적인 환경이다. 개인의 건강증진 노력을 체계화함으로써 지지적인 환경을 조성할 수 있다. Healthy Japan 21에 대한 평가는 2005년에 중간평가가, 2010에 최종평가가 있을 예정이다. 평가결과들은 이후에 진행될 사업의 향상을 위한 기준으로 활용될 예정이다.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.349-359
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• 2013

The study was conducted to identify the perception of patient-safety and the level of safety care activity among nurses in small-medium sized general hospitals. Data were collected at three hospitals among 344 nurses on April 2012 and administered questionnaire regarding the perception of patient-safety and safety-care-activity. Data analyzed by using descriptive statistics, inferential statistics was used to determine comparison, correlation and association (Pearson correlation, t-test, ANOVA, Scheffe test, multiple regression). The results revealed that there were significant differences in the level of perception of patient-safety according to the nurses' career, time of work, and work department in their hospitals. And also there were significant differences in the level of safety-care-activity according to the nurses' age, position, marriage, the nurses' career, time of work in their hospitals. Nurses with higher perceived level of patient-safety performed more safety-care-activities. The findings of the study suggests that in order to improve the nurse's perceived level of patient-safety and safety-careactivities, the hospitals need to establish the policies that support patient-safety, improvement the environmental system, proper working atmosphere to ensure appropriate work time, regulation nurse-patient ratio are also required.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.25-34
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• 2020

In this paper, we empirically compare the effectiveness of training models to recognize beauty-related skin disease using supervised deep learning algorithms. Recently, deep learning algorithms are being actively applied for various fields such as industry, education, and medical. For instance, in the medical field, the ability to diagnose cutaneous cancer using deep learning based artificial intelligence has improved to the experts level. However, there are still insufficient cases applied to disease related to skin beauty. This study experimentally compares the effectiveness of identifying beauty-related skin disease by applying deep learning algorithms, considering CNN, ResNet, and SE-ResNet. The experimental results using these training models show that the accuracy of CNN is 71.5% on average, ResNet is 90.6% on average, and SE-ResNet is 95.3% on average. In particular, the SE-ResNet-50 model, which is a SE-ResNet algorithm with 50 hierarchical structures, showed the most effective result for identifying beauty-related skin diseases with an average accuracy of 96.2%. The purpose of this paper is to study effective training and methods of deep learning algorithms in consideration of the identification for beauty-related skin disease. Thus, it will be able to contribute to the development of services used to treat and easy the skin disease.

• Therapeutic Science for Rehabilitation
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• v.11 no.1
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• pp.35-47
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• 2022

Objective : In this study, we conducted a questionnaire survey of occupational therapists to examine their perceptions on and willingness to provide telerehabilitation dementia prevention education. Methods : From March 13 to 19, 2021, a questionnaire survey targeting occupational therapists in Busan, Ulsan, and Gyeongnam was conducted. 100 questionnaires were distributed but only 70 were collected. The collected data were subjected to frequency analysis and descriptive statistics using the statistical program SPSS version 23.0. Results : The average scores by region were as follows. The average compatibility score was highest at 3.92 score, intention to providing education, doctors 3.89 score, community-centric rehabilitation awareness 3.81 score, cost saving 3.78 score, perceiver usefulness 3.75 score, accessibility 3.62 score, the quality of telerehabilitation service was in order of 3.49 score. Conclusion : All items asking whether occupational therapists participate in community-centered rehabilitation and non-face-to-face dementia prevention education programs showed high scores, indicating the willingness to participate actively. In the future, in addition to follow-up research on the implementation of telerehabilitation dementia prevention education, measures for improving accessibility within the local and national government should be discussed.

• Journal of the Korean Society of Radiology
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• v.18 no.4
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• pp.317-325
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• 2024

This study aimed to classify normal and nodule images in thyroid ultrasound images using GLCM and machine learning. The research was conducted on 600 patients who visited S Hospital in Busan and were diagnosed with thyroid nodules using thyroid ultrasound. In the thyroid ultrasound images, the ROI was set to a size of 50x50 pixels, and 21 parameters and 4 angles were used with GLCM to analyze the normal thyroid patterns and thyroid nodule patterns. The analyzed data was used to distinguish between normal and nodule diagnostic results using the SVM model and KNN model in MATLAB. As a result, the accuracy of the thyroid nodule classification rate was 94% for SVM model and 91% for the KNN model. Both models showed an accuracy of over 90%, indicating that the classification rate is excellent when using machine learning for the classification of normal thyroid and thyroid nodules. In the ROC curve, the ROC curve for the SVM model was generally higher compared to the KNN model, indicating that the SVM model has higher within-sample performance than the KNN model. Based on these results, the SVM model showed high accuracy in diagnosing thyroid nodules. This result can be used as basic data for future research as an auxiliary tool for medical diagnosis and is expected to contribute to the qualitative improvement of medical services through machine learning technology.

• Journal of Advanced Navigation Technology
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• v.24 no.2
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• pp.67-72
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• 2020

Satellite communication is not used by many people like mobile communication, but it is a necessary technology for public service and communication services, such as providing the Internet in military, disaster, remote education and medical services, island areas, and infrastructure vulnerable areas. However, on ships and aircraft, mobile communications requiring base stations are either unavailable or restricted in their use. In this paper, we used a Raspberry Pi board as the terminal device to communicate network through satellite modem and PPP protocol, and implemented two-way data link using the text message of the modem to connect to the Thuraya geo-stationary orbit network. In addition, I/O devices were connected to the controller of the terminal equipment to design and implement an IoT device system for ships that can remotely access the system under control and control I/Os and transmit measured data through various sensors.