• Journal of Korea Multimedia Society
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• v.17 no.11
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• pp.1313-1324
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• 2014

Korea has high quality level of ICT Technologies, however it still have a long way to go before invigoration of ICT in agriculture industry. The government of Korea supply to agriculture ICT systems, however these are the enclosed type and insufficient the level of connectivity, compatibility, and integrity between ICT systems. Farmers can not share crop information and one system can not use with others in combination. Recently, IoT(Internet of Things) become popular to emphasize the vision of a global internet and ICT industry. The IoT is a critical technology that leads future internet generation. We believe that IoT will change status of agriculture industry and appearance of various agriculture business model. Using IoT technology is provided a platform of opportunities to optimize work processes and efficient use of energy, time and labour in farm. It can automatically control temperature, humidity, sunshine system and so on for optimal growth conditions at greenhouse and plant factory. Growth setting can even be controlled and monitored crop condition and disease by a smartphone app or PC. It is possible to improve quality of farming and farm product. We suggest that construction of IoT platform through open API in agriculture industry.

• PNF and Movement
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• v.16 no.1
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• pp.75-83
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• 2018

Purpose: This study investigated the effects of proprioceptive neuromuscular facilitation (PNF) exercise on the range of motion (ROM), pain, and functional activity of patients who received total knee arthroplasty (TKA). The purpose of this study was to provide fundamental data regarding the use of PNF exercise among patients with musculoskeletal disease. Methods: Fourteen patients who received TKA were randomly divided into an experimental group (n=7) that took part in PNF exercise and a control group (n=7) that performed general rehabilitation exercise. Both groups performed the respective exercises for 30 minutes, five times a week for 2 weeks. For the measurement of ROM, the range of knee flexion was measured using a clinometer smartphone application. A visual analogue scale (VAS) was used for the measurement of the level of pain. The timed up and go test (TUG) was conducted to measure functional activity. A paired t-test was performed to compare within-group changes before and after the PNF exercise. Differences between the experimental group and control group were analyzed by an independent t-test. For all tests, the level of statistical significance was set at ${\alpha}=0.05$. Results: After the exercise, there was a significant within-group change in VAS and TUG scores in the experimental group and control group (p<0.01). There was also a significant between-group difference in VAS and TUG scores after the intervention (p<0.05). Conclusion: General rehabilitation exercise is commonly applied as a treatment for TKA patients and is relatively effective. The application of PNF exercise may be useful in such patients, considering its effects on ROM improvement, pain reduction, and functional enhancement.

• Journal of the Korea Society of Computer and Information
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• v.17 no.9
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• pp.113-125
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• 2012

We developed a Smartphone application based on PHR(Personal Health Records) provided by a tertiary hospital to provide users personalized diet, exercise contents. It uses Relevance ratio algorithm of diet and excercise being correlated with diseases listed on PHR to provide personalized contents to management of individual diseases and record the amounts of food taken and exercise along with calories consumed through exercise. Besides, developed U-Health Service also considering users' conditions and conveniences, as a service to use contents and record suitable for the individuals who share the information on restaurants locations, their menus, and nutrition based on users' location information.

• Nutrition Research and Practice
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• v.13 no.6
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• pp.509-520
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• 2019

BACKGROUND/OBJECTIVES: This study evaluated whether a mobile health (mHealth) application can instigate healthy behavioral changes and improvements in metabolic disorders in individuals with metabolic abnormalities. SUBJECTS/METHODS: Participants were divided into an mHealth intervention group (IG), which used a mobile app for 24 weeks, and a conventional IG. All mobile apps featured activity monitors, with blood pressure and glucose monitors, and body-composition measuring devices. The two groups were compared after 24 weeks in terms of health-behavior practice rate and changes in the proportion of people with health risks, and health behaviors performed by the IG that contributed to reductions in more than one health risk factor were analyzed using multiple logistic regression. RESULTS: Preference for low-sodium diet, reading nutritional facts, having breakfast, and performing moderate physical activity significantly increased in the mHealth IG. Furthermore, the mHealth IG showed a significant increase of eight items in the mini-dietary assessment; particularly, the items "I eat at least two types of vegetables of various colors at every meal" and "I consume dairies, such as milk, yogurt, and cheese, every day." The proportion of people with health risks, with the exception of fasting glucose, significantly decreased in the mHealth IG, while only the proportion of people with at-risk triglycerides and waist circumference of females significantly decreased in the control group. Finally, compared to those who did not show improvements of health risks, those who showed improvements of health risks in the mHealth IG had an odds ratio of 1.61 for moderate to vigorous physical activity, 1.65 for "I do not add more salt or soy sauce in my food," and 1.77 for "I remove fat in my meat before eating." CONCLUSIONS: The findings suggest that the additional use of a community-based mHealth service through a mobile application is effective for improving health behaviors and lowering metabolic risks in Koreans.

• Physical Therapy Rehabilitation Science
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• v.11 no.3
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• pp.311-320
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• 2022

Objective: To investigate the reliability and validity of static balance measurements using an acceleration sensor and a gyroscope sensor in smart phone inertial sensors. Design: Equivalent control group pretest-posttest. Methods: Subjects were forty five healthy adults aged twenty to fifty-years-old who had no disease that could affect the experiment. After pre-test, all participants wore a waist band with smart phone, and conducted six static balance measurements on the force plate twice for 35 seconds each. To investigate the test-retest reliability of both smart phone inertial sensors, we compared the intra-correlation coefficient (ICC 3, 1) between primary and secondary measurements with the calculated root mean scale-total data. To determine the validity of the two sensors, it was measured simultaneously with force plate, and the comparision was done by Pearson's correlation. Results: The test-retest reliability showed excellent correlation for acceleration sensor, and it also showed excellent to good correlation for gyroscope sensor(p<0.05). The concurrent validity of smartphone inertial sensors showed a mostly poor to fair correlation for tandem-stance and one-leg-stance (p<0.05) and unacceptable correlation for the other postures (p>0.05). The gyroscope sensor showed a fair correlation for most of the RMS-Total data, and the other data also showed poor to fair correlation (p<0.05). Conclusions: The result indicates that both acceleration sensor and gyroscope sensor has good reliability, and that compared to force plate, acceleration sensor has unacceptable or poor correlation, and gyroscope sensor has mostly fair correlation.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.565-570
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• 2023

There are people who are sensitive to cosmetic ingredients, such as pregnant women and skin disease patients. There are also people who experience side effects from cosmetics. To avoid this, it is cumbersome to search for harmful ingredients in cosmetics one by one when shopping. In addition, knowing and remembering functional ingredients that suit you is helpful when purchasing new cosmetics. There is a need for a system that allows you to immediately know the cosmetics ingredients in the field through photography. In this paper, we introduce an application for smartphones, <Hwa Ahn>, which allows you to immediately know the cosmetics ingredients by photographing the ingredients displayed in the cosmetics. This system is more effective and convenient than the existing system in that it automatically recognizes and automatically classifies the ingredients of the cosmetic when the camera is illuminated on the cosmetic ingredients or retrieves the photos of the cosmetic ingredients from the album. If the system is widely used, it is expected that it will prevent skin diseases caused by cosmetics in daily life and reduce purchases of cosmetics that are not suitable for you.

• Journal of the Korean Society of School Health
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• v.36 no.3
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• pp.113-125
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• 2023

Purpose: The purpose of this study is to develop a model for predicting mental health risk among adolescents based on health behavior information by employing a hybrid machine learning method. Methods: The study analyzed data of 51,850 domestic middle and high school students from 2022 Youth Health Behavior Survey conducted by the Korea Disease Control and Prevention Agency. Firstly, mental health risk levels (stress perception, suicidal thoughts, suicide attempts, suicide plans, experiences of sadness and despair, loneliness, and generalized anxiety disorder) were classified using the k-mean unsupervised learning technique. Secondly, demographic factors (family economic status, gender, age), academic performance, physical health (body mass index, moderate-intensity exercise, subjective health perception, oral health perception), daily life habits (sleep time, wake-up time, smartphone use time, difficulty recovering from fatigue), eating habits (consumption of high-caffeine drinks, sweet drinks, late-night snacks), violence victimization, and deviance (drinking, smoking experience) data were input to develop a random forest model predicting mental health risk, using logistic and XGBoosting. The model and its prediction performance were compared. Results: First, the subjects were classified into two mental health groups using k-mean unsupervised learning, with the high mental health risk group constituting 26.45% of the total sample (13,712 adolescents). This mental health risk group included most of the adolescents who had made suicide plans (95.1%) or attempted suicide (96.7%). Second, the predictive performance of the random forest model for classifying mental health risk groups significantly outperformed that of the reference model (AUC=.94). Predictors of high importance were 'difficulty recovering from daytime fatigue' and 'subjective health perception'. Conclusion: Based on an understanding of adolescent health behavior information, it is possible to predict the mental health risk levels of adolescents and make interventions in advance.

• Journal of Korean Clinical Health Science
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• v.5 no.2
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• pp.834-849
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• 2017

Purpose: The aim of this study is to examine the trends of cataract surgery and the recognition of cataract. Methods: ; It enrolled a total of 150 respondents, comprising 72 men and 78 women, who reside in Busan Metropolitan City, Ulsan Metropolitan City and Kyeong-nam Province. By the age groups, they include 44 people in their 20s, 24 in their 30s, 24 in their 40s, 26 in their 50s and 32 aged 60 years or older. In addition, the current study was conducted by dividing the respondents into two groups: people with cataract or not. Moreover, it was also conducted mainly for younger people. Results: 1. As for age of cataract operation, this study say that 1 patient was in their 20s, 3 patients in their 30s, 3 patients in their 40s, 6 patients in their 50s, and 7 patients in their over 60s. 2. In the question about whether they know about cataract, 100 respondents answered 'I know', 50 answered 'I do not know', 67% answered 'I know', 33% answered 'I do not know'. 3. As for pathways to know about cataract, of the total 120 respondents, 49 (41%) were in the media, 20 (17%) were Internet users, 26 (22%) were acquaintances, and 10 (7%) were specialty books, and 15 (13%) were 'others'. 4. As for cataract causes, 20 respondents (13%) answered 'exposure to sunlight', 12 (8%) answered 'electronic devices', 7 answered 'hereditary' 89 (60%) answered, and 22 (14%) answered 'eye disease'. 5. Twenty (13%) answered 'extremely yes', 40 (27%) answered 'yes', and 31 (21%) answered 'normal' when asked whether the use of smartphone was affected by cataracts. 48 (32%) answered 'little', and 11 (7%) answered 'not at all'. Our results showed that many people aged 50 years or older developed cataract and received surgery. It was also shown, however, that people in their 20s to 40s also developed cataract and received surgery. Conclusions: Our eyes are exposed to many places. Many people are unaware of cataracts, despite the fact that cataracts are gradually getting younger, due to the development of electronic devices and the use of electrical appliances. We should have interest in many information and contents about cataracts, knowing the importance to eyes, and gradually reducing the use of many electronic devices in young people.

• Journal of the Korea Society of Computer and Information
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• v.16 no.12
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• pp.59-69
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• 2011

Recently, as people's interest in health care has been rising, the health care service awareness and utilization has been increasing. However, the existing healthcare services have problems such as inconvenience of mobility, the low reliability of input for information and low accuracy of information provided as well. in this study, we developed the m-Health application by utilizing smart phone with improvement of these problems. This application provided the total of 5 services such as notification for risk of cardiovascular disease, personalized dietary recommendations targeted to 20s and 30s who do not properly manage their health care by bad habits. In addition, the benefits and problems of these services were found out through the analysis for the general importance and satisfaction of these services by Importance-Performance Analysis (IPA) technique. In result of IPA analysis, The six items such as 'input accuracy and reliability of information', 'content reliability', 'proper health service recommendations', etc. among 12 of the items needed to receive the effective services on m-Health were belonged to importance and satisfaction area with high level. And, in the 'information security', the importance is high but the satisfaction was low. In conclusion, the further study for strengthening security of information, service update provided with PHR to consistently keep the advantage of these services will be conducted.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.807-812
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• 2020

In order to prevent the national wide spread of the COVID-19 virus, the government enforces to use an electronic access registration system for public facilities to effectively track and manage the spread. Initially, there was a lot of hassle to write a directory, but recently a system for creating an electronic access list using QR codes, what is called KI-Pass, is mainly used. However, the procedure for generating a QR code is somewhat cumbersome. In this paper, we propose a new electronic access registration system that does not require QR code. This system effectively controls the suspicious visitor by using a mask wearing discriminator which has been implemented using deep learning technology, and a non-contact thermometer package. In addition, by linking the beacon, a short-range wireless communication technology, and the visitor's smartphone application, basic information of the facility visitor is automatically registered to KDCA through the server. On the other hand, the user access information registered in the server is encrypted and stored, and is automatically destroyed after up to 4 weeks. This system is expected to be very effective in preventing the spread of other new infectious diseases as well as responding to the coronavirus which is recording a high spread worldwide.