• Proceedings of the Korea Information Processing Society Conference
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• 2015.04a
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• pp.474-476
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• 2015

U-Healthcare는 언제 어디서나 환자의 생체 건강을 관리하고 유지할 수 있도록 하는 정보통신기술이다. U-Healthcare통신은 대부분 무선통신을 사용하여 검진 결과나 위급 시에 감지된 환자의 정보를 병원 서버로 전송한다. 이 때 U-Healthcare기기나 병원 서버에 악의적인 행위자가 DDoS공격을 하면 환자의 정보는 병원서버까지 전송되지 못해 병원의 도움을 받을 수 없는 상황이 발생된다. 이에 대응하기 위하여 본 논문은 U-Healthcare 통신 공격 패턴과 시나리오를 빅데이터로 구축한다. 그 후 악의적인 사용자가 U-Healthcare기기나 서버를 공격하면 DB와 연동하여 일치된 공격을 막을 수 있다. 앞으로 원격의료 서비스에서 나타날 수 있는 보안 위협을 알아보고, 빅데이터를 활용하여 보안 위협에 대응할 수 있는 방법을 제안한다.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.4 no.1
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• pp.9-14
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• 2010

According to graying of population and income enlargement of people, interest about U-Healthcare of new form fusing with IT technology are enlarged. Need a estimation technology and standard of test method for safety and performance considering usage environment of U-Healthcare medical device. In this research, developed the standard of test method for usage environment safety and performance of U-Healthcare medical device referring IEC standards and KS standards.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.4
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• pp.53-57
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• 2009

In this paper to computerized patient management of patients applying for a facial recognition algorithm to extract Face Feature Points environment, the implementation of the U-Healthcare offers. First, mobile devices and the pictures and photos of the patient data used as input data, the algorithm AdaBoost Face Feature Points patterns extracted, then stored in an existing database, extracted from the patient's sample photos, matching patterns and makes Face Feature Points. The result is the same patient if the patient information database, in recognizing the disease, doctors, and medical fields to extract the relevant information on the screen to output devices, the patient will present the implementation of recognition system.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.6
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• pp.127-134
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• 2011

Recently, the wireless data communication infrastructure appearing before the footlights crosses the limit in the wire and develop into the fast speed. Particularly, the issue about the u-Healthcare service using this increases. And the investigation of the quality guarantee of the wireless data network is important for the smooth service providing. However, the quality control research about the wireless network is insufficient because the existing research performs the quality control between the termination about the wired network continually. This paper presented the mobile service quality measurement reference considering the radio environment,that is the method for satisfying the quality guarantee of the wireless data network user offered the u-Healthcare service as the research about this and user needs. For this purpose, wireless data quality measurement indicator and standard was selected. The quality measure evaluation plan was presented according to the service. And each service presented the quality index especially.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.6
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• pp.1-10
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• 2008

Health medical service is passes with u-Healthcare and it promote health medical service environment change to the citizen center in the hospital center, and all methods of diagnosis, treatment, after management are forecasted in prevention because a balance develops. It is necessary for an u-Healthcare terminal is devoted to becoming an ubiquitous terminal of consciousness when in where and the following technology to result in implementation. Information communication equipment and an appliance technical data transfer technology Precision and how mobile gateway implementation, Bluetooth wireless appliance function is various with mobile communication and radio communication network and an appliance function are necessary. therefore, in this paper, we did a study on the implementation of bio signal measuring system for the u-healthcare based on mobile.

• The KIPS Transactions:PartD
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• v.15D no.3
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• pp.411-420
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• 2008

This paper implemented the u-Healthcare Context Information System (HCIS) supporting ubiquitous healthcare by using location, health and titrating environment information collected from sensors/devices equipped in home for healthcare home service. The HCIS is based on the Distributed Object Group Framework (DOGF), a management model which can customize distributed resources, and manages various context information, applications and devices as a group in healthcare home environment, as one more logical units. Also, this system provides continuous healthcare multimedia service considering a resident's location using Mobile Proxy, and the healthcare context information through Context Provider to a resident in home. For verifying execution of our system, we implemented the seamless multimedia service based on resident's location and the prescription/advice and schedule notification/alarm service as healthcare applications in home. And we showed the executing results of healthcare home service by using service device existed in the residential space on which the resident is located according to the healthcare scenario.

• Journal of Internet Computing and Services
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• v.11 no.5
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• pp.59-70
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• 2010

The Ubiquitous Healthcare business are growing recently by medical service development. According to this environment, many healthcare service model have been studying and suggested. At the same time, medical world market has been reorganized into a traditional medical science out of the west medical science. But in spite of this trend, domestic U-Healthcare market in traditional medical science is for lack of profit service model. So it is true that the presentation is demanded from oriental medicine U-Healthcare service model these days in oriental field. Thus, in this paper we propose the healthcare service model that can be applied to the oriental field efficiently. Our method is based on fuzzy rule method that analyze the patient data by CDSS processing. In experiment, proposed method is more profitable and efficient than west service model. For future works, we will research about the standardization and security of processed data.

• Journal of Digital Convergence
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• v.12 no.4
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• pp.251-257
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• 2014

In u-Healthcare environment, large amounts of important vital information is processed through M2M(Machine to Machine). M2M is configured by wireless networks and has several problems for limited bandwidth and low reliability. Therefore, in this paper is proposed a method called uHLZW(u-Healthcare LZW) to improve channel efficiency to solve such problem. uHLZW algorithm has high compression ratio for vital data. The results showed that the average compression ratio of uHLZW got from 1.6 times to 4.0 times better than existing methods(Huffman and LZW compression).

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.3
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• pp.23-32
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• 2010

U-healthcare provides people with many conveniences and keeps their health. As facility centered medical environment is being changed to patient centered one, however, various problems are emerging. These problems range from institutional problems to technological, producer related, and user related ones. The researcher took interested in problems originating from users, in particular, elderly patients and guardians taking care of an elderly patient. The main focus of this study is the direction of serious contents design for training skills in HMI of U-healthcare equipment and developing emergency coping abilities. In this study, I started from research on elderly cognitive psychology and elders' motor reactions and interconnected the characteristics of various digital content forms. The results of this study are expected to be useful for the rapidly expanding elderly population and in the U-healthcare industry.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.7B
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• pp.575-582
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• 2008

The existing patient monitoring system when the patient want own information. The patient confirm information through the medical institution. But the patient monitoring system based on the U-Healthcare, the patient always confirms own information through the mobile device including rfid reader. The patient need RFID middleware design to provide wanting service when the RFID reader read patient's tag information. The RFID middleware is consisted of RFID module, ARM processor and RS-232 interface. The RFID module is used to be inputted user information and RS-232 interface pass information by RFID middleware. Also, This system is embodied by specific patient monitoring system using embedded exclusive use ARM processor. In this paper introduces concept and action principle of RFID middleware and embodied patient monitoring system that use Qt.