• 디지털융복합연구
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• 제13권5호
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• pp.227-235
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• 2015

세계적으로 정부 재정에 상당한 영향을 주고 있는 보건의료 비용 문제를 해결하기 위해 m-Health가 등장하였다. 그러나 최근 저조한 m-Health의 결과물들은 m-Health 서비스 개혁의 필요성으로 이어졌다. 따라서 본 논문의 목적은 이와 같은 일환으로 m-Health 환경에서 효율적인 생체 데이터 전송 및 보관을 위한 방안을 제시하는 것이다. 연구방법으로는 생체 데이터를 효율적으로 전송 및 보관할 수 있는 시스템 및 알고리즘을 개발하였다. 분석 결과로 제시하는 솔루션의 효율성을 평가하기 위하여 전송되는 데이터의 압축률을 비교 평가하였다. 그 결과 본 논문의 압축률은 30.4배였다. 본 연구가 제시하는 시스템은 향후 m-Health에서 생체 정보를 모니터링 하는 시스템을 구축하도록 기여할 것으로 전망된다.

• 전기학회논문지
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• 제56권9호
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• pp.1680-1687
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• 2007

A hospital room has multiple patient monitoring devices at the bedside to monitor his or her status. However, vital sign monitors, ventilator and other bedside devices are made by a variety of different manufacturers and often cannot easily interface to the hospital information system. Medical environments incorporate complex and integrated data networks to transfer vast amounts of patient information, such as images, waveforms, and other forms of digital data. Hence, to assure interoperability of images, waveforms and patient data, Health Level Seven (HL7) was developed as an international standard to facilitate the communicating and storing of medical data. In this study, we developed middleware capable of receiving data from mCare 300 vital signs monitoring devices and converting the data to HL7 data format. The HL 7 middleware streamline clinical workflow and support patients. Therefore, clinical expertise are empowered to respond to dynamic healthcare situation as soon as they emerged, and consequently quality of care while helping to reduce the length of a patient's stay in a hospital.

• International Journal of Computer Science & Network Security
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• 제23권9호
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• pp.134-140
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• 2023

The distributed system is playing a vital role in storing and processing big data and data generation is speedily increasing from various sources every second. Hadoop has a scalable, and efficient distributed system supporting commodity hardware by combining different networks in the topographical locality. Node support in the Hadoop cluster is rapidly increasing in different versions which are facing difficulty to manage clusters. Hadoop does not provide Node management, adding and deletion node futures. Node identification in a cluster completely depends on DHCP servers which managing IP addresses, hostname based on the physical address (MAC) address of each Node. There is a scope to the hacker to theft the data using IP or Hostname and creating a disturbance in a distributed system by adding a malicious node, assigning duplicate IP. This paper proposing novel node management for the distributed system using DNA hiding and generating a unique key using a unique physical address (MAC) of each node and hostname. The proposed mechanism is providing better node management for the Hadoop cluster providing adding and deletion node mechanism by using limited computations and providing better node security from hackers. The main target of this paper is to propose an algorithm to implement Node information hiding in DNA sequences to increase and provide security to the node from hackers.