• 스마트미디어저널
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• 제5권4호
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• pp.83-89
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• 2016

의료기관의 개인정보들을 보호하기 위한 가이드라인은 미국, 영국 등 각 나라에서도 이미 진행되어온 상태이고 또한 HIPPA와 같이 여러 곳에서 발표 되고 있다. 하지만 국내의 경우, 국내 의료기관에 특화된 가이드라인에 대해서는 명확히 제시되지 않고 있는 실정이다. 본 논문은 지난 2015년 미래창조과학부에서 발표된 빅데이터 비식별화 기술 활용 안내서를 기반으로 국외인 영국의 ICO, 미국의 IHE, NIST, HIPPA에서 발표한 의료기관의 개인정보보호 비식별화 기술에 관한 가이드들을 고찰하여 국내 의료기관에서 활용할 수 있는 기술적인 방안과 상관도를 제시하였다. 여기서 상관도란 앞서 미국의 3개 기관에서 제시하고 있는 기술들에 대해 공통적으로 제시하고 있는 정도를 5점 척도로 나타낸 것을 의미한다. 즉, 5점에 가까울수록 여러 기관들에서 제시된 기술을 활용할 것을 많이 권고한다는 의미이다. 본 논문을 통하여 기초 자료로서 국내 의료기관에서 개인의료정보 비식별화에 더 많은 발전과 활용이 되기를 바란다.

• 대한임베디드공학회논문지
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• 제19권1호
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• pp.19-25
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• 2024

This paper proposes an artificial intelligence-based personal information area object detection optimization method in an embedded system to de-identify personal information in video data. As an object detection optimization method, first, in order to increase the detection rate for personal information areas when detecting objects, a gyro sensor is used to collect the shooting angle of the image data when acquiring the image, and the image data is converted into a horizontal image through the collected shooting angle. Based on this, each learning model was created according to changes in the size of the image resolution of the learning data and changes in the learning method of the learning engine, and the effectiveness of the optimal learning model was selected and evaluated through an experimental method. As a de-identification method, a shuffling-based masking method was used, and double-key-based encryption of the masking information was used to prevent restoration by others. In order to reuse the original image, the original image could be restored through a security key. Through this, we were able to secure security for high personal information areas and improve usability through original image restoration. The research results of this paper are expected to contribute to industrial use of data without personal information leakage and to reducing the cost of personal information protection in industrial fields using video through de-identification of personal information areas included in video data.

• ALGAE
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• 제31권4호
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• pp.317-340
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• 2016

The Abrolhos Continental Shelf (ACS) encompasses the largest and richest coral reefs in the southern Atlantic Ocean. A taxonomic study of non-geniculate coralline algae (NGCA) from the region was undertaken using both morpho-anatomical and molecular data. Specimens of NGCA were collected in 2012 and 2014 from shallow reefs of the ACS. Phylogenetic analysis was performed using dataset of psbA DNA sequences from 16 specimens collected in the ACS and additional GenBank sequences of related NGCA species. Nine common tropical reef-building NGCA species were identified and described: Hydrolithon boergesenii, Lithophyllum kaiseri, Lithophyllum sp., Lithothamnion crispatum, Melyvonnea erubescens, Pneophyllum conicum, Porolithon onkodes, Sporolithon ptychoides, and Titanoderma prototypum. A key for species identification is also provided in this study. Our molecular phylogenetic analyses suggest that Lithophyllum sp. corresponds to a new species. Our study also confirms that Lithophyllum kaiseri is a new record in Brazil. The psbA sequences of Lithophyllum kaiseri and Melyvonnea erubescens matched with type specimens indirectly. The taxonomic identification of the remaining species was supported by morpho-anatomical evidences as DNA sequences of their types or topotypes remain unavailable.

• Coupled systems mechanics
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• 제7권5호
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• pp.555-581
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• 2018

The moment-resistant steel frames are frequently used as a load-bearing structure of buildings. Global response of a moment-resistant frame structure strongly depends on connections behavior, which can significantly influence the response and load-bearing capacity of a steel frame structure. The analysis of a steel frame with included joints behavior is the main focus of this work. In particular, we analyze the behavior of two connection types through experimental tests, and we propose numerical beam model capable of representing connection behavior. The six experimental tests, under monotonic and cyclic loading, are performed for two different types of structural connections: end plate connection with an extended plate and end plate connection. The proposed damage-plasticity model of Reissner beam is able to capture both hardening and softening response under monotonic and cyclic loading. This model has 18 constitutive parameters, whose identification requires an elaborate procedure, which we illustrate in this work. We also present appropriate loading program and arrangement of measuring equipment, which is crucial for successful identification of constitutive parameters. Finally, throughout several practical examples, we illustrate that the steel structure connections are very important for correct prediction of the global steel frame structure response.

• 정보보호학회논문지
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• 제26권6호
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• pp.1593-1603
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• 2016

스마트그리드 환경에서는 기존 전력망과 정보통신기술이 접목됨에 따라 다양한 보안 위협 요소가 존재한다. 특히, 스마트 미터링 데이터는 사용자의 생활 패턴, 사용 기기 등 다양한 정보를 노출하며, 심각한 개인정보 침해로 이어질 수 있으므로 미터링 데이터에 적합한 비식별화 알고리즘이 필요한 상황이다. 따라서 본 논문에서는 미터링 데이터에 대한 새로운 비식별화 방안을 제안하였다. 제안한 방법은 시간정보와 수치정보를 각각 비식별화 데이터로 처리하여 해당 데이터만으로는 패턴 정보를 분석할 수 없도록 하였다. 또한, 통계처리 및 가용성을 위하여 비식별화된 상태에서도 데이터베이스에서 직접 범위검색, 집계처리 등의 질의가 가능하다는 장점을 가진다.

• 한국컴퓨터정보학회논문지
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• 제27권6호
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• pp.53-63
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• 2022

최근 코로나19 팬데믹으로 인한 디지털 트랜스 포메이션이 가속화되면서 개개인의 삶의 질을 향상시키기 위한 데이터가 대량으로 활용되고 있으며 데이터 중 가장 가치 있는 개인정보를 활용하기 위한 보다 강화된 비식별 처리 절차가 요구되고 있다. 국내에서도 법률 개정과 가이드라인을 통해 비식별 조치를 위한 절차를 제시하고 있지만 모호한 처리 기준과 주관적인 위험도 측정 방식으로 인해 현업에서는 비식별정보의 처리 수준을 측정할 수 있는 방법론이 부재한 상황이다. 본 논문은 국내외에서 제시하고 있는 비식별 조치 관련 제도 및 지침 등에 대한 현황을 비교분석하여 보완점을 도출하고 이를 해결하기 위해 가명정보 처리 중심의 데이터 상황 기반 위험도 측정 방법을 제안하고 타당성을 검증하고자 한다. 델파이 조사 및 표적집단면접(FGI)을 통한 검증 결과 제안한 방법론에 대한 필요성과 지표들에 대한 타당성이 높은 것을 확인하였으며, 실무에서 이를 활용할 경우 가명정보의 위험성을 측정하는데 많은 도움이 될 것으로 사료된다. 또한 제안하는 방법론은 가명정보의 위험성을 계량적인 체크리스트 방식으로 측정할 수 있는 유일한 방법론이란 점에서 의의가 있다.

• Smart Structures and Systems
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• 제4권4호
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• pp.429-438
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• 2008

The aim of this paper is to define the required measurements and processing tools necessary for developing a maintenance approach applied to rotating machines in the presence of multiple faults. The system responses measured were accelerations and transmission errors. Acceleration measurements provide most of the information on bearing conditions, while transmission error measurements provide pertinent information on gear conditions. The measurements were carried out for several operating conditions (loads and speeds). System responses were processed in several analyzing domains (Time, Spectrum, and Cepstrum domains). The approach developed enables the detection and identification of combined faults and it can be applied to other types of rotating machines once the critical elements and their associated faults have been defined.

• Advances in Computational Design
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• 제5권3호
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• pp.323-347
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• 2020

The enhancements of bioenergy production effectiveness require the comprehensively experimental study of several parameters affecting these bioprocesses. The interpretation of the obtained experimental results and the estimation of optimum yield are extremely complicated such as misinterpreting the results of an experiment. The use of mathematical modeling and statistical experimental designs can consistently supply the predictions of the potential yield and the identification of defining parameters and also the understanding of key relationships between factors and responses. This paper summarizes several mathematical models used to achieve an adequate overall and maximal production yield and rate, to screen, to optimize, to identify, to describe and to provide useful information for the effect of several factors on bioenergy production processes. The usefulness, the validity and, the feasibility of each strategy for studying and optimizing the bioenergy-producing processes were discussed and confirmed by the good correlation between predicted and measured values.

• ETRI Journal
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• 제38권5호
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• pp.988-995
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• 2016

In this paper, we present a new specific and customized interface tool with parameter identification of Modified Butterworth-Van Dyke models for ladder bulk acoustic wave filters. The aforementioned tool is easy to use and flexible because it allows simulations and reengineering to be conducted in an application. A modular design approach is applied to simplify the extension of the proposed tool for different topologies. The proposed tool was validated using measurements from an aluminum-nitride based ladder BAW filter dedicated to the frequency ranges of the Universal Mobile Telecommunications Service and standards and Wideband Code Division Multiple Access.

• Steel and Composite Structures
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• 제32권6호
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• pp.731-741
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• 2019

Shear deformation effects are neglected in most structural system identification methods. This assumption might lead to important errors in some structures like built up steel or composite deep beams. Recently, the observability techniques were presented as one of the first methods for the inverse analysis of structures including the shear effects. In this way, the mechanical properties of the structures could be obtained from the nodal movements measured on static tests. One of the main controversial features of this procedure is the fact that the measurement set must include rotations. This characteristic might be especially problematic in those structures where rotations cannot be measured. To solve this problem and to increase its applicability, this paper proposes an update of the observability method to enable the structural identification including shear effects by measuring only vertical deflections. This modification is based on the introduction of a numerical optimization method. With this aim, the inverse analysis of several examples of growing complexity are presented to illustrate the validity and potential of the updated method.