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Outsourced 데이터베이스에서 위치 데이터 프라이버시 보전을 위한 힐버트 커브 기반 암호화 변환 기법
김형일,홍승태,장재우 한국정보과학회 2012 정보과학회논문지 : 데이타베이스 Vol.39 No.5
최근 클라우드 컴퓨팅의 발전과 더불어 공간 데이터베이스의 아웃소싱에 대한 관심이 급증하고 있다. 따라서 Outsourced 데이터베이스에서의 위치 데이터 프라이버시 보전을 위한 기법들이 활발히 연구되어 왔다. 그러나 기존 기법들은 접근 순서 연관성 공격에 취약하기 때문에, Outsourced 데이터베이스를 통해 위치 기반 서비스를 제공받는 사용자의 사생활을 보호하지 못한다는 문제점이 존재한다. 또한, 질의 처리를 위한 통신 비용이 크다는 문제점을 보인다. 이러한 문제를 해결하기 위해, 본 논문에서는 Outsourced 데이터베이스에서 위치 데이터 프라이버시 보전을 위한 힐버트 커브 기반 암호화 변환 기법을 제안한다. 제안하는 암호화 기법은 데이터베이스의 한 튜플에 다수의 공간 데이터를 저장함으로써 접근순서 연관성 공격을 방지한다. 아울러, 힐버트 커브 순서를 기반으로 지역적인 클러스터링을 수행하여, 질의 처리 시 통신 비용을 감소시킨다. 마지막으로, 성능평가를 통해 제안하는 기법이 기존 기법에 비해 질의 처리 시 발생하는 통신량을 감소시켜, 결과적으로 보다 좋은 질의 처리 성능을 보임을 검증하였다 With the development of cloud computing, the interest on spatial database outsourcing has been sharply increasing. Therefore, researches for protecting location data privacy in outsourced database have been actively performed. However, since the existing schemes are weak to access ordering relationship attack, they can not protect the privacy of users who enjoy location-based services from the outsourced database. In addition, they have a shortcoming that the communicationcost for query processing is quite high. To solve these problems, we, in this paper, propose a Hilbert curve-based cryptographic transformation scheme to protect location data privacy in outsourced databases. The proposed scheme avoids access ordering relationship attack by storing numerous location data in a tuple. Furthermore, we reduces the communication cost for query processing by performing local clustering based on Hilbert curve ordering. Finally, we show through performance analysis that the proposed scheme greatly reduces the communication cost for query processing, consequently showing better query processing performance, compared with the existing scheme.
Age-hardening mechanism by precipitation in a zinc- and indium-added silver-palladium alloy
김형일,김성민,설효정,전병욱,조수연,이광영,권용훈 대한치과재료학회 2014 대한치과재료학회지 Vol.41 No.1
The age-hardening mechanism of a copper-free silver-palladium alloy is unclear yet because the age-hardening mechanism is variable even with slight compositional changes. The aim of present study is to elucidate the age-hardening mechanism and relation of age-hardenability with the phase transformation and microstructural changes of a Zn- and In-added Ag-Pd alloy by means of the hardness test, X-ray diffraction study, field emission-scanning electron microscopic observation and energy dispersive spectrometer analysis. The matrix was composed of the Ag-rich α1 phase containing small amounts of solute elements, and the particle-like structures were composed of the PdZn-based β1 phase containing relatively large amounts of In. The lamellar-forming grain boundary reaction which is usually observed in Ag-Pd alloys containing Cu was not observed in the Zn- and In-added Ag-Pd alloy. The grain interior precipitate composed of the Pd-Zn-rich phase containing In resulted in apparent hardening from the early stage of aging process, and its coarsening by prolonged aging resulted in softening. In the specimen alloy, Zn and In formed extra phase preferentially with Pd, and the amount of Zn and In which took part in the precipitation hardening was very small.
김형일,김용욱,김준태,Kim, Hyung-Il,Kim, Yong-Uk,Kim, Jun-Tae 한국시뮬레이션학회 2009 한국시뮬레이션학회 논문지 Vol.18 No.4
The medical information system is an effective medical diagnosis assistance system which offers an environment in which medial images and diagnosis information can be shared. However, this system can only stored and transmitted information without other functions. To resolve this problem and to enhance the efficiency of diagnostic activities, a medical image classification and retrieval system is necessary. The medical image classification and retrieval system can improve efficiency in a medical diagnosis by providing disease-related images and can be useful in various medical practices by checking diverse cases. However, it is difficult to understand the meanings contained in images because the existing image classification and retrieval system has handled superficial information only. Therefore, a medical image classification system which can classify medical images by analyzing the relation among the elements of the image as well as the superficial information has been required. In this paper, we propose the method for learning and classification of brain MRI, in which the superficial information as well as the spatial information extracted from images are used. The superficial information of images, which is color, shape, etc., is called low-level image information and the logical information of the image is called high-level image information. In extracting both low-level and high-level image information in this paper, the anatomical names and structure of the brain have been used. The low-level information is used to give an anatomical name in brain images and the high-level image information is extracted by analyzing the relation among the anatomical parts. Each information is used in learning and classification. In an experiment, the MRI of the brain including disease have been used.
김형일,황성오,육현,이윤석,차경철,김현,이강현 대한응급의학회 2015 대한응급의학회 학술대회초록집 Vol.2015 No.2
Introduction: A motor driven automatic CPR device can enhance its utility with portability and ease of use. The aim of this study was to develop a motor driven automatic CPR device and investigate its hemodynamic effect compared to standard manual CPR in an animal model of ventricular fibrillation. Material & Methods: A battery-powered, motor driven automatic device performing simultaneous sternothoracic CPR was developed. To assess hemodynamic efficacy, 20 male pigs were randomized to receive standard CPR (S-CPR) or CPR with an automatic device (A-CPR) after 5 minutes of V fib.5 minutes of BLS was performed and followed by 10 minutes of ACLS including defibrillation and epinephrine. Aortic pressure (AP), coronary perfusion pressure (CPP), carotid blood flow (CBF), end-tidal carbon dioxide tension (ETCO2), defibrillation success, and 2 hour survival were compared Results: Systolic, mean APs, and CBF were higher in A-CPR group than S-CPR group during BLS and ACLS (systolic AP: 101±76 vs.163±64 mmHg, p=0.001; mean AP: 37±22 vs.60±20 mmHg, p=0.000; CBF: 50±48 vs. 100±63 ml/min, p=0.000). The other parameters were not different between two groups. Conclusion: A battery-powered, motor driven automatic device performing simultaneous sternothoracic CPR results in higher systolic blood pressure, mean blood pressure, and carotid blood flow compared to S-CPR.