• Journal of Community Nutrition
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• v.5 no.4
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• pp.209-217
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• 2003

The food and nutrition system is a network of processes linking agriculture, food, eating, nutrition, and health. The system includes a series of nine stages (production, processing, distribution, acquisition, preparation, consumption, digestion, transport, and utilization) and two types of contexts (biophysical and sociocultural). Analysis of whole food and nutrition systems provides information about the structure and processes involved in the complete scope of food and nutrition, assisting in the identification of ″upstream″ influences and ″downstream″ consequences in the system. The current analysis gathered existing data about the food and nutrition system in South Korea from public sources and professional publications, and interpreted that information to consider how different elements of the system contribute to health. The findings revealed that South Korea has substantial domestic food production and processing supplemented by imports, widespread food distribution in markets and a growing number of Korean and Western restaurants, a relatively low percentage of household income spent on food, growing use of new food preparation methods such as microwave ovens, a rice/vegetable/fish based three-meal consumption pattern, few recorded digestive problems, increasing calorie storage as body fat, and a relatively low chronic disease prevalence compared to other developed societies. Examination of the full scope of the food and nutrition system provides a broad perspective using whole system thinking that can identify potential strategies for future research and intervention.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.5
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• pp.335-349
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• 2021

As the frequency of seismic disasters in Korea has increased rapidly since 2016, interest in systematic maintenance and crisis response technologies for structures has been increasing. A data-based leading management system of Lifeline facilities is important for rapid disaster response. In particular, the water supply network, one of the major Lifeline facilities, must be operated by a systematic maintenance and emergency response system for stable water supply. As one of the methods for this, the importance of the structural health monitoring(SHM) technology has emerged as the recent continuous development of sensor and signal processing technology. Among the various types of SHM, because all machines generate vibration, research and application on the efficiency of a vibration-based SHM are expanding. This paper reviews a vibration-based pipeline SHM system for seismic disaster response of water supply pipelines including types of vibration sensors, the current status of vibration signal processing technology and domestic major research on structural pipeline health monitoring, additionally with application plan for existing pipeline operation system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1628-1634
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• 2011

With the advancement of ubiquitous computing technology, u-Healthcare (i.e. ubiquitous health care), is regarded as a key application for information society, which provides health management service at anytime in anywhere. To implement U-Healthcare system, it is essential to monitor stable biological information in daily life. In this paper, we proposed a small size, light weight, patch type real time temperature monitoring system based on wireless sensor network (WSN) technology to monitor patients' body temperature without any inconvenience of activity.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.115-128
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• 2015

Although the telecommunications service industry has become a basic infrastructure component of the information and communication technology (ICT) industry, it is now losing its reputation as a cash cow due to achieving a saturation of service subscribers, especially in South Korea. With the exception of improving network speeds, network operators are experiencing difficulties in creating new innovations. Therefore, new innovations for the telecommunications service industry should be identified in conjunction with government policies for industry promotion. To examine the innovative capabilities of a specific industry, innovation system theories were used as a framework for research. However, existing innovation systems are limited with regard to explaining the openness of relationships and user participation which are general properties of the ICT industry. Moreover, as sources of innovative activity, additional values such as financial support and collaboration are more appropriate. This study presents a new innovation system based on innovation values. We analyze the telecommunications service industry and prioritize the importance of telecommunication policies within South Korea. An in-depth interview with experts based on the innovation system framework is conducted first. Next, innovation factors derived from the interview are applied within an analytic hierarchy process (AHP), leading to a prioritization of innovation factors for the telecommunications service industry.

• Industrial Engineering and Management Systems
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• v.16 no.1
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• pp.92-102
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• 2017

In this paper, we consider a typical health care system via the help of Wireless Sensor Network (WSN) for wireless patient tracking. The wireless patient tracking module of this system performs localization out of samples of Received Signal Strength (RSS) variations and tracking through a Particle Filter (PF) for WSN assisted by multiple transmit-power information. We propose a modified PF, Kullback-Leibler Distance (KLD)-resampling PF, to ameliorate the effect of RSS variations by generating a sample set near the high-likelihood region for improving the wireless patient tracking. The key idea of this method is to approximate a discrete distribution with an upper bound error on the KLD for reducing both location error and the number of particles used. To determine this bound error, an optimal algorithm is proposed based on the maximum gap error between the proposal and Sampling Important Resampling (SIR) algorithms. By setting up these values, a number of simulations using the health care system's data sets which contains the real RSSI measurements to evaluate the location error in term of various power levels and density nodes for all methods. Finally, we point out the effect of different power levels vs. different density nodes for the wireless patient tracking.

• Journal of Environmental Health Sciences
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• v.41 no.2
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• pp.102-115
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• 2015

Objectives: A learning organization was designed and implemented on the basis of the selection criteria and essential elements of knowledge translation theory. Methods: The learning organization was designed on the basis of biosafety harmonization criteria and risk management strategy and was implemented as the learning organization for biosafety management by the National Institute of Health, Korea Centers for Disease Control & Prevention. The effect of knowledge translation in the research institutions by evidence-based policy was verified. Results: The result of applying the knowledge translation theory involving all stakeholders showed a positive reaction in establishing and implementing biosafety management strategy and embodied risk assessment criteria and evoked sympathy with the necessity of learning and using of expert knowledge about risk assessment and risk management. All stakeholders initiated voluntarily action toward new human-network construction and communication between similar organizations. The learning organization's capability expanded the base of knowledge translation. Conclusion: These results showed that a learning organization could enhance the autonomous safety management system by diffusion of knowledge translation.

• Perspectives in Nursing Science
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• v.7 no.1
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• pp.10-22
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• 2010

Purpose: Through a thorough examination of the CCSC (Community Comprehensive Support Center) system in Japan, this study suggests a scheme to provide community-based preventive health care services for the elderly in Korea. Methods: The study inquired into the applicability of the Japanese model by reviewing the data related to the CCSC project, aided by both in-depth interviews with staff in the field and consultations with specialists. Results: Rearrangement of the Visiting Health Management Project system is needed to manage the collective or individual visiting care management for frailty prevention of the elderly in communities. The delegated service system for preventive care in the community, including direct management by one of the public health centers, also needs to be reviewed and the application of stricter standards for the selection of the agency or corporation to run the delegated service is necessary. Long-Term Care Insurance, along with national and local grants, is to be considered as a financial resource for the community-based preventive health care model for the elderly. By making active use of education rooms at district offices, senior citizen centers in neighborhoods for the elderly with easy access can be created. The project needs to raise active supports from communities, develop programs which can be absorbed into particular local cultures, and promote the understanding of the preventive project in local communities. The preventive program should focus on first solving the problems of depression, seclusion, and lack of mobility of the elderly. Second, the program should instruct physical self-management for exercise-nutrition-dental maintenance, and third, the program should strengthen the cognitive abilities of the elderly. In addition, it is necessary to systematize and implement counter-plans of the family and community to protect the elderly who has mental and cognitive problems. Finally, by establishing a network of public health welfare resources based upon research on a community level, assessment and planning for the health of the elderly should be one with their family, and comprehensive consultation and recommendations should be provided to the family. Conclusion: Taking into consideration the experience Japan has had with respect to a similar project, it is appropriate to develop and implement a service system which would combine the Visiting Health Management Project system which has already been established and a preventive health care model for the elderly on a community level.

• The Korean Journal of Health Service Management
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• v.13 no.4
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• pp.67-82
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• 2019

Objectives: This study aimed to evaluate digital interventions on psychological well-being in patients with cancer through an integrated review. Methods: Fifteen studies were selected using PubMed, CINAHL, Scopus, DBpia, and RISS. The Scottish Intercollegiate Guidelines Network was used by two reviewers to evaluate independently the quality of the selected articles. Results: Digital interventions for improving psychological well-being in cancer patients were most often based on cognitive behavioral therapy alone or a combination of interventions with professionals and other patients. In addition, a number of interventions were established on internet-based mindfulness therapy. Conclusions: Providing cognitive behavioral intervention alone did not significantly improve the level of depression or anxiety of patients with cancer. Meanwhile, interventions, including cognitive behavior therapy and interactions with professionals and other patients, were found to reduce significantly the level of depression or anxiety in the experimental group.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.542-544
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• 2019

Changes in a person's health affect one's lifestyle and work activities. According to the World Health Organization (WHO), abnormal activity is growing faster in people aged 60 or more than any other age group in almost every country. This trend steadily continues and expected to increase further in the near future. Abnormal activity put these people at high risk of expected incidents since most of these people live alone. Human abnormal activity analysis is a challenging, useful and interesting problem among the researchers and its particularly crucial task in life and health care areas. In this paper, we discuss the problem of abnormal activities of old people lives alone at home. We propose Convolutional Neural Network (CNN) based model to detect the abnormal behaviors of elderlies by utilizing six simulated action data from daily life actions.

• International Journal of Computer Science & Network Security
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• v.24 no.8
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• pp.32-42
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• 2024

The Internet of Things (IoT) is set to transform patient care by enhancing data collection, analysis, and management through medical sensors and wearable devices. However, the convergence of IoT device vulnerabilities and the sensitivity of healthcare data raises significant data integrity and privacy concerns. In response, this research introduces the Smart-Coord system, a practical and affordable solution for securing healthcare IoT. Smart-Coord leverages blockchain technology and coordinate-based access management to fortify healthcare IoT. It employs IPFS for immutable data storage and intelligent Solidity Ethereum contracts for data integrity and confidentiality, creating a hierarchical, AES-CBC-secured data transmission protocol from IoT devices to blockchain repositories. Our technique uses a unique coordinate system to embed confidentiality and integrity regulations into a single access control model, dictating data access and transfer based on subject-object pairings in a coordinate plane. This dual enforcement technique governs and secures the flow of healthcare IoT information. With its implementation on the Matic network, the Smart-Coord system's computational efficiency and cost-effectiveness are unparalleled. Smart-Coord boasts significantly lower transaction costs and data operation processing times than other blockchain networks, making it a practical and affordable solution. Smart-Coord holds the promise of enhancing IoT-based healthcare system security by managing sensitive health data in a scalable, efficient, and secure manner. The Smart-Coord framework heralds a new era in healthcare IoT adoption, expertly managing data integrity, confidentiality, and accessibility to ensure a secure, reliable digital environment for patient data management.