• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.206-209
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• 2018

According to data released by the WHO(World Health Organization), the death toll from indoor air pollution in 2016 was about 3.8 million. While many people are aware of outdoor air pollution, indoor air pollution is getting less attention. Recently, however, indoor air pollution has also become a big problem, raising many issues. Frequent indoor activities such as cooking and heating produce various pollutants, which can cause children and elderly with weak immune systems to be exposed to pollutants, which can cause serious health problems such as poor lung function and respiratory diseases. Therefore, in this paper, the IoT(Internet of Things) platform that measures and monitors indoor air quality using AQ(Air Quality) sensors is developed so that data can be monitored in real time through applications and reactive web.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.1-6
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• 2019

Modern society is undergoing nutritional imbalance according to the diet as the number of one person increases. This is increasing the incidence of chronic diseases such as gastrointestinal diseases and digestive diseases. This study suggests the prediction of dietary knowledge using multiple regression analysis for preventing chronic stomach diseases. The proposed method manages user's stomach diseases and dietary nutrition through the prediction of nutrition knowledge. It collects user's PHR through smart device and integrates in the health platform. The integrated data analyzes the dietary and activity of the user through multiple regression analysis. It predicts the required nutrients and provides services to users through applications. Therefore, it suggests recommended dietary components and consumed calories, appropriate dietary components based on the user's basal metabolism, and gastrointestinal levels. With the personalized health management, modern people can manage gastrointestinal diseases through a balanced diet.

• The Journal of Information Technology
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• v.8 no.2
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• pp.17-26
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• 2005

RFID(Radio Frequency IDentification) is a method of remotely storing and retrieving data using devices called 'RFID tags'. An RFID tag is a small object, such as an adhesive sticker, that can be attached to or incorporated into a product. RFID tags contain antennas to enable them to receive and respond to radio-frequency queries fro an RFID transceiver. Eventually, RFID SYSTEM is very interesting to watch people live linger than they used to before. Some of reasons for that phenomenon is the improving medical studies. As we live healthier and get to know more about our body, we can extend our lives. This Platform is Physical Health Promotion Service, Home Health Monitoring Service, Mental Health Promotion Service, Home Patient Management Service, Chronic Disease Management Service, Emergency Patient Management Service, Medical Information and Consulting Service of the RFID.

• Journal of Information Technology Services
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• v.11 no.sup
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• pp.89-101
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• 2012

This paper presents development of a management system for the health and diseases of the elderly. This study aimed to the promotion of the u-healthcare industry and to the increase in its competitive power by developing and expanding a system for managing the health and diseases of the elderly, in cooperation with u-healthcare companies. The study is underway through the following four substudies. In the first substudy titled development of the bio-signal collection and analysis technology using smart media, a technology that supports the collection of bio-signals in the elderly using portable terminals. In the second substudy titled development of the patient-specific healthcare platform expansion and enhancement technology, a technology is being developed for making medical decisions and taking measures based on the results of the processing of the collected bio-signals. In the third substudy titled development of the N-screen based healthcare contents open service technology, a technology is being developed to provide information on health, diseases, and medicine to platforms. In the fourth substudy titled development of the oriental medicine diagnosis and analysis technology for senile diseases. This study is expected to help ensure an excellent workforce and new technologies in the healthcare sector using smart phones, and to help reduce medical expenses by improving the health of citizens.

• Journal of Communications and Networks
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• v.13 no.2
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• pp.132-141
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• 2011

IEEE 802.15.4 networks are a feasible platform candidate for connecting all health-care-related equipment dispersed across a hospital room to collect critical time-sensitive data about patient health state, such as the heart rate and blood pressure. To meet the quality of service requirements of health-care systems, this paper proposes a multi-priority queue system that differentiates between various types of frames. The effect of the proposed system on the average delay and throughput is explored herein. By employing different contention window parameters, as in IEEE 802.11e, this multi-queue system prioritizes frames on the basis of priority classes. Performance under both saturated and unsaturated traffic conditions was evaluated using a novel analytical model that comprehensively integrates two legacy models for 802.15.4 and 802.11e. To improve the accuracy, our model also accommodates the transmission retries and deferment algorithms that significantly affect the performance of IEEE 802.15.4. The multi-queue scheme is predicted to separate the average delay and throughput of two different classes by up to 48.4% and 46%, respectively, without wasting bandwidth. These outcomes imply that the multi-queue system should be employed in health-care systems for prompt allocation of synchronous channels and faster delivery of urgent information. The simulation results validate these model's predictions with a maximum deviation of 7.6%.

• Asian Journal of Atmospheric Environment
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• v.4 no.2
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• pp.97-105
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• 2010

A quantitative single particle analytical technique, denoted low-Z particle electron probe X-ray microanalysis (low-Z particle EPMA), was applied to characterize particulate matters collected at two underground subway stations, Jegidong and Yangje stations, in Seoul, Korea. To clearly identify the source of the indoor aerosols in the subway stations, four sets of samples were collected at four different locations within the subway stations: in the tunnel; at the platform; near the ticket office; nearby outdoors. Aerosol samples collected on stages 2 and 3 ($D_p$: $10-2.5\;{\mu}m$ and $2.5-1.0\;{\mu}m$, respectively) in a 3-stage Dekati $PM_{10}$ impactor were investigated. Samples were collected during summertime in 2009. The major chemical species observed in the subway particle samples were Fe-containing, carbonaceous, and soil-derived particles, and secondary aerosols such as nitrates and sulfates. Among them, Fe-containing particles were the most popular. The tunnel samples contained 85-88% of Fe-containing particles, with the abundance of Fe-containing particles decreasing as the distances of sampling locations from the tunnel increased. The Fe-containing subway particles were generated mainly from mechanical wear and friction processes at rail-wheel-brake interfaces. Carbonaceous, soil-derived, and secondary nitrate and/or sulfate particles observed in the underground subway particles likely flowed in from the outdoor environment by human activities and the air-exchange between the subway system and the outdoors. In addition, since the platform screen doors (PSDs) limit air-mixing between the tunnel and the platform, samples collected at the platform at the Yangjae station (with PSDs) showed a marked decrease in the relative abundances of Fe-containing particles compared to the Jegidong station (without PSDs).

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.5
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• pp.137-142
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• 2016

A two-step open system(TOS) was proposed to relay between a healing platform and a repository of personal health documents. TOS was designed by taking into consideration the pubsub service based on large scale connections to monitor a provider's access/request process for health documents in real time. TOS, however, uses WebSocket as a communication protocol in case of pubsub. Given the operational environment of low quality wireless networks for mobile devices that are user terminals in a healing platform, there is a need to add a messaging protocol to support QoS as well as a transmission protocol. As a light messaging protocol optimized for mobile devices, MQTT defines reliable messaging QoS to consider a wireless network situation of low speed/low quality. This study designed an MQTT protocol-based message broker to support QoS in case of large scale connections and pubsub by taking into consideration mobile devices that are user terminals in a healing platform. After designing a model between TOS and MQTT message broker, the study implemented a prototype based on the proposed design and compared it with its counterparts from previous studies based on the performance indicators in a load-test with the MQTT client tool.

• Journal of Nutrition and Health
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• v.53 no.6
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• pp.688-701
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• 2020

Purpose: This study was performed to evaluate the importance and satisfaction of the selective attributes of delivery food and to analyze the factors affecting customer satisfaction. Methods: A total of 574 responses were collected from customers who had ordered delivery food for data analysis. Statistical analyses were conducted using the SPSS program (ver. 25.0) for frequency analysis, χ2 tests, t-test, factor analysis, Pearson correlation, multiple regression analysis, and Importance-Performance Analysis (IPA). Results: The importance of delivery food selection attributes was higher in the order of 'hygiene control level (4.72)', 'taste of food (4.64)', and 'delivery accuracy (4.40)'. Satisfaction assessment was higher in the order of 'taste of food (4.32)', 'delivery accuracy (4.26)', and 'convenience of using the delivery app (4.21)'. According to the results of IPA, items that were priorities for improvement were charges for delivery, discount offers, sufficient description of the menu, and rapid handling of customer complaints. On an average, overall customer satisfaction score of delivery food was 4.01 out of 5 points. Additionally, five satisfaction factors were extracted by exploratory factor analysis. According to the results of multiple regression analysis, quality of delivery platform (p < 0.001), quality of delivery service (p < 0.001), convenience and diversity (p < 0.001), quality of delivery food (p < 0.001), and health and safety (p < 0.001) had significant positive effects on overall customer satisfaction. Conclusion: To increase customer satisfaction among delivery food customers, restaurant or delivery platform managers should consistently improve not only the quality of the delivery platform but also the quality of the delivery food and service.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.5
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• pp.464-470
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• 2013

These days, with increasing interest about the health care, research about standard for transmitting/receiving data of health device has been actively conducted. Standardization and testing / certification is underway through the IEEE 11073 PHD, Health Level Seven and the Continua Health Alliance, it'll continue to be more research and experiments in the future. In this paper, we introduce the IEEE 11073 PHD standards for exchange of remote health information and the Bluetooth Health Device Profile(HDP) for health device profile of the Bluetooth technology, also we conducted experiments about exchange health information between health device and smart device which are adapted the IEEE 11073 PHD and Bluetooth HDP. Transmitting/receiving of the IEEE 11073 PHD standard protocol using the Bluetooth HDP profile between health device and smart device can be known by this experiment, and it expect to implement variety of remote medical services through health device supporting these standards in future.

• Journal of Korea Multimedia Society
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• v.19 no.5
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• pp.808-817
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• 2016

Recently, the wearable computing technology with bio-sensors has been rapidly developed and utilized in various areas such as personal health, care-giving for senior citizens who live alone, and sports activities. In particular, the wearable computing equipment to measure vital signs by means of digital yarns and bio sensors is noticeable. The wearable computing devices help users monitor and manage their health in their daily lives through the customized healthcare service. In this paper, we suggest a system for monitoring and analyzing vital signs utilizing smart healthcare clothing with bio-sensors. Vital signs that can be continuously acquired from the clothing is well-known as unstructured data. The amount of data is huge, and they are perceived as the big data. Vital sings are stored by Hadoop Distributed File System(HDFS), and one can build data warehouse for analyzing them in HDFS. We provide health monitoring system based on vital sings that are acquired by biosensors in smart healthcare clothing. We implemented a big data platform which provides health monitoring service to visualize and monitor clinical information and physical activities performed by the users.