• 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.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.981-984
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• 2015

IoT is network evolved one more step than Mobile or Internet based on the existing wire communication and can interconnect all people, things, and virtual space at any time, anywhere. In particular, Internet of Things technology is expected to be converged on medical service such as elderly home care, chronic disease management, and treatment, and then it also contributes to savings and service quality of in the medical field and leads the paradigm or innovation of healthcare industry. In this study, we analyzed the IoT technology and application cases of medical service based on the IoT at home and abroad.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.560-563
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• 2016

The changes in the medical and healthcare are started from the digital technology. The new field of digital healthcare has started fused with existing healthcare, medical technology, and digital technology. It can increase the service effect and reduce healthcare costs by applying ICT skills such as ICBM(Internet of Things, Cloud, Big data and Mobile), artificial intelligence, robotics, virtual, augmented reality, and wearable devices to healthcare services including healthcare, disease management. Recently there has been grafted an artificial intelligence technologies such as AlphaGo of Google and Watson of IBM onto the healthcare area. In this study, we analyze the main technology, ecosystem, platforms for digital healthcare, and lastly future changes in health care services and issues of digital healthcare.

• The Journal of the Convergence on Culture Technology
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• v.3 no.1
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• pp.29-33
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• 2017

As more than 80% of the entire Korean population uses smartphone, an increasing number of applications are being developed to increase the convenience in daily life. Users are also looking for applications associated with health, such as those that help them confirm their health status. While users are use most frequently a health care application, this study was conducted to review an application that can be used in real time to access hospital services. Namely, to manage the health status of users and patients, book online or offline appointments and go through the appointments. The study was conducted using the application of Baeksok University Hospital.

• The Journal of Korean Society for School & Community Health Education
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• v.19 no.2
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• pp.1-10
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• 2018

Objectives: The purpose of this study is to expand of workplace by analyzing the duty and workplace of health education specialist and by presenting professional duty for health education specialist. Methods: 22 papers related to health education experts were finally selected from 1993 to 2017(25 years). The selected literature analyzed the title, researchers, the publishing agency, the publication year, the main contents, and duty and workplace of the health education specialist. Results: The studies on health education specialists comprised 5 cases (22.7%) between 1993 and 1999, 3 cases (13.6%) between 2000 and 2009, 14 cases (63.6%) between 2010 and 2017. Health education specialists core duty were diagnosing health education needs, planning health education programs, developing health education methods and materials, performing and managing health education programs, evaluating and conducting research on health education programs, and health communication. The workplace were 11 for medical institutions (55.0%), 9 for healthcare organizations (45.0%) and 8 for schools (40.0%). Conclusions: In addition to the basic core duty, professional and differentiated duty capabilities such as managing the target, generating health information, encouraging involvement of the target, and mobile health care should be developed.

• Korean Journal of Artificial Intelligence
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• v.8 no.2
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• pp.1-5
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• 2020

Children's home accidents are less common than in the past. However, safety accidents continue to occur due to carelessness of the parents. To solve the problem, there are fall prevention screens that can withstand the weight of children, and safety railings that can be adjusted directly to solve the problem. However, these have disadvantages such as stability, convenience, and damage to the landscape. In this paper, we developed an automatic safety accident prevention fence system that can be installed on a window using Arduino, eliminating the disadvantages of previous safety accident prevention products. This system measures the height of a person standing in front of the fence and the distance between the person and the fence with two infrared sensors and moves automatically using a motor. In addition, in accordance with the U-Healthcare society, users can check the temperature, humidity, and fine dust concentration of the external environment through mobile. Each information can be obtained through DHT 11 sensor, fine dust concentration sensor, and Bluetooth connected toArduino. These can help the user's health care.

• Korean Journal of Childcare and Education
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• v.18 no.5
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• pp.1-17
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• 2022

Objective: The purpose of this study is to examine the effect of childcare teachers' active motivation for choosing a profession on the quality of their interaction with infants and toddlers, and to investigate the moderating effect of their emotional dysregulation. Methods: The subjects of this study were childcare teachers working with infants and toddlers. A mobile survey was conducted and a total of 282 sets of results have been collected. Moderating effects have been explored with the use of PROCESS Macro (version 3.5) Model 1. Results: The main findings showed that childcare teachers' emotional dysregulation played a moderating role in the effect of childcare teachers' active motivation on the quality of interaction with infants and toddlers. Conclusion/Implications: The results of this study imply that the ability of childcare teachers working with infants and toddlers to regulate their emotions can simultaneously play a role as a protective factor as well as a risk factor for the quality of interaction. Also, it was revealed that is necessary to give pre-service teachers an opportunity to deliberate on their motivations for a childcare teacher position.

• Korean Journal of Childcare and Education
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• v.18 no.4
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• pp.17-36
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• 2022

Objective: The purpose of this study is to examine the relationship between structural and process difficulties experienced by childcare center directors in operating childcare centers and to explore characteristics of childcare centers that affect the path. Methods: The participants were 309 childcare center directors, and data were collected through a mobile survey method. Descriptive statistics and SEM were implemented using SPSS and AMOS. Results: Unsupported childcare centers and capacity aggravated structural difficulties in operation of childcare centers, while the number of enrolled children and the enrollment rate reduced such difficulties that were reported by directors. In the case of labor cost supported centers and childcare centers with a high enrollment rate reported a high level of process difficulties. Because the effect of structural difficulties on process difficulties were significant, the indirect influences of structural difficulties that mediated the influences of general background characteristics on process difficulties were also significant. Conclusion/Implications: This study shows that difficulties in operating childcare centers could be considered in terms of structure and process aspects. This study is also meaningful in that it suggests that the characteristics of individual childcare centers should be emphasized in a customized way to alleviate such difficulties.

• Korean Journal of Artificial Intelligence
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• v.11 no.3
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• pp.29-34
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• 2023

Recently, the rapid development of artificial intelligence technology, many studies are being conducted to predict the risk of heart disease in order to lower the mortality rate of cardiovascular diseases worldwide. This study presents exercise or dietary improvement contents in the form of a software app or web to patients with cardiovascular disease, and cardiovascular disease through digital devices such as mobile phones and PCs. LR, LDA, SVM, XGBoost for the purpose of developing "Life style Improvement Contents (Digital Therapy)" for cardiovascular disease care to help with management or treatment We compared and analyzed cardiovascular disease prediction models using machine learning algorithms. Research Results XGBoost. The algorithm model showed the best predictive model performance with overall accuracy of 80% before and after. Overall, accuracy was 80.0%, F1 Score was 0.77~0.79, and ROC-AUC was 80%~84%, resulting in predictive model performance. Therefore, it was found that the algorithm used in this study can be used as a reference model necessary to verify the validity and accuracy of cardiovascular disease prediction. A cardiovascular disease prediction analysis algorithm that can enter accurate biometric data collected in future clinical trials, add lifestyle management (exercise, eating habits, etc.) elements, and verify the effect and efficacy on cardiovascular-related bio-signals and disease risk. development, ultimately suggesting that it is possible to develop lifestyle improvement contents (Digital Therapy).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.321-322
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• 2022

Recently, in the field of health care, health management topics are being dealt with a lot. In particular, services are concentrated in the field of exercise, and many exercise equipment fused with the 4th industry-based technology are also appearing. In general, a form of collecting user's exercise information by mounting various sensors on exercise equipment and linking services based on this is representative. In this paper, we propose an efficient data transmission based on the design in the process of transmitting the exercise data generated by the equipment to the smartphone through the Bluetooth-based IoT sensor and transmitting it back to the exercise information analysis platform.