• Imaging Science in Dentistry
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• v.51 no.2
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• pp.187-193
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• 2021

Purpose: This study aimed to assess the usefulness of machine learning and automation techniques to match pairs of panoramic radiographs for personal identification. Materials and Methods: Two hundred panoramic radiographs from 100 patients (50 males and 50 females) were randomly selected from a private radiological service database. Initially, 14 linear and angular measurements of the radiographs were made by an expert. Eight ratio indices derived from the original measurements were applied to a statistical algorithm to match radiographs from the same patients, simulating a semi-automated personal identification process. Subsequently, measurements were automatically generated using a deep neural network for image recognition, simulating a fully automated personal identification process. Results: Approximately 85% of the radiographs were correctly matched by the automated personal identification process. In a limited number of cases, the image recognition algorithm identified 2 potential matches for the same individual. No statistically significant differences were found between measurements performed by the expert on panoramic radiographs from the same patients. Conclusion: Personal identification might be performed with the aid of image recognition algorithms and machine learning techniques. This approach will likely facilitate the complex task of personal identification by performing an initial screening of radiographs and matching ante-mortem and post-mortem images from the same individuals.

• Imaging Science in Dentistry
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• v.53 no.3
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• pp.221-227
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• 2023

Purpose: This study was performed to develop a linear regression model using the pulp-to-tooth volume ratio (PTVR) ratio of the maxillary canine, assessed through cone-beam computed tomography (CBCT) images, to predict chronological age (CA) in Indonesian adults. Materials and Methods: A sample of 99 maxillary canines was collected from patients between 20 and 49.99 years old. These samples were obtained from CBCT scans taken at the Universitas Padjadjaran Dental Hospital in Indonesia between 2018 and 2022. Pulp volume (PV) and tooth volume (TV) were measured using ITK-SNAP, while PTVR was calculated from the PV/TV ratio. Using RStudio, a linear regression was performed to predict CA using PTVR. Additionally, correlation and observer agreement were assessed. Results: The PTVR method demonstrated excellent reproducibility, and a significant correlation was found between the PTVR of the maxillary canine and CA(r= -0.74, P<0.01). The linear regression analysis showed an R² of 0.58, a root mean square error of 5.85, and a mean absolute error of 4.31. Conclusion: Linear regression using the PTVR can be effectively applied to predict CA in Indonesian adults between 20 and 49.99 years of age. As models of this type can be population-specific, recalibration for each population is encouraged. Additionally, future research should explore the use of other teeth, such as molars.

• Analytical Science and Technology
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• v.21 no.1
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• pp.48-52
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• 2008

A new forensic saliva test method using $SALIgAE^{(R)}$ was evaluated in this study. The sensitivity and specificity of $SALIgAE^{(R)}$ were examined and compared to those of other saliva test methods such as agarose gel diffusion method and $Phadebas^{(R)}$ test sheet method. $SALIgAE^{(R)}$ showed high sensitivity and specificity to human saliva in addition to quickness. Moreover modified $SALIgAE^{(R)}$ method was cheap and easy to use in crime scene and DNA laboratory. $SALIgAE^{(R)}$ was very stable at room temperature and had no effect on STR typing.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2013.04a
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• pp.142-143
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• 2013

본 연구는 u-IT 융합기술을 접목하여 옥내 외 화재발생시 조기발견 및 탐지가 용이하다. 아울러 저비용과 고효율로 화재에 신속한 대응이 가능하며 옥외 환경에 적합한 옥외형 화재경보시스템의 성능 및 신뢰성 평가에 관한 것이다. 성능시험, 기능시험, 화염시험 및 옥외방치시험을 3개월간 실시한바 양호하였고 온도변화 성능시험도 $-30^{\circ}C{\sim}70^{\circ}C$에서 양호하였으며 EMI/EMS 시험도 적합하였다. 또한 화염검출거리 증가와 대기전원의 4시간 증가, 동작시간을 3일까지 가능하게 하였으며 센서뿐만아니라 영상으로 상황을 인지하는데 적합하였다.

• Analytical Science and Technology
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• v.12 no.6
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• pp.465-471
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• 1999

Chloromethylated polystyrene resins supported diethylenetriamine of linear and claw types have been prepared by the reaction of diethylenetriamine with chloromethylated polystyrene. The kinetics of adsorption of transition metal ions on polystyrene resins were measured by the limited-bath technique. This paper reports the results of the diffusion coefficients, entropies of activation, and free energies of activation. The ratedetermining step of the adsorption of transition metals on the resins is a process of diffusion through the particles.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06d
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• pp.52-56
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• 2008

컴퓨터 시스템을 대상으로 하거나 컴퓨터 시스템을 이용하는 범행의 상당수가 PC방에서 이루어지고 있다. 그러나 불특정 다수의 네티즌들이 이용하는 PC방은 관리상의 용이 등의 이유로 대부분 하드디스크 초기화 프로그램(복원)을 사용하고 있으며, 이와 같은 PC방의 관리 환경은 수사의 직접적인 목적인 증거수집 및 복구을 통하여 실체적 진실발견에 많은 어려움을 초래하고 있다. 본 논문에서는 이와 같은 복원 프로그램의 동작원리를 분석하고, 이를 바탕으로 인터넷 접속기록의 효율적인 복원 방법에 대한 논리적인 접근법을 제시하고, 프로그램 구현을 통한 정확한 디지털 증거수집의 실접근법을 제공한다.

• Proceedings of the KIEE Conference
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• 2007.10a
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• pp.243-244
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• 2007

웹 서버에서 로그파일은 웹 서버에 대한 접속정보를 저장한다. 이 정보를 분석하면 웹 서비스를 하는데 있어서 서비스의 질을 높이는데 좋은 참고자료가 될 뿐 아니라 웹 서버에 이상이 생겼을 경우 발생한 오류를 조기에 발견하는 데에도 사용되는 중요한 자료이다. 현재 이러한 로그파일은 텍스트 파일로 저장이 되어있으며 오랜 시간이 지나 그 웹 페이지가 삭제되었을 경우 로그파일에 기록된 그 시각의 웹 페이지를 찾아보기가 어렵다. 본 연구에서는 로그파일에 기록된 그 시각의 웹 페이지의 이미지를 저장하는 방법으로 이러한 단점을 보안하고 오랜 시간이 지난 후에도 그 웹 페이지를 볼 수 있는 방법을 제안한다. 이 아이디어가 구현되어 실현되면 또한 Digital Forensic으로써 범죄 수사에도 많은 도움이 될 뿐만 아니라 휴대전화로 풀 인터넷 브라우징이 가능한 풀브라우저에도 적용될 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1108-1110
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• 2012

파일 시스템은 컴퓨터에서 파일이나 자료를 쉽게 발견 및 접근할 수 있도록 보관 또는 조직하는 체제를 가리키는 말이다. 기존에는 Windows에 사용되는 FAT(File Allocation Table) 파일 시스템과 NTFS(New Technology File System), Unix/Linux 등에서 주로 활용되는 ext계열 파일 시스템 등이 주된 분석 대상이었으나 스마트폰과 태블릿 PC, NAS(Network Attached Storage) 서버 등 다양한 IT기기가 보급되면서 이들 기기에서 사용되는 파일시스템을 추가적인 분석이 필요하다. 따라서 본 논문에서는 추가적으로 분석해야할 파일 시스템의 종류를 나열하고 각각의 특성을 서술하여 향후 추가 분석의 지침으로 활용하고자한다.

• Journal of Yeungnam Medical Science
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• v.38 no.3
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• pp.235-239
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• 2021

Accessory cavitated uterine mass (ACUM) is a rare and unique condition seen in young women. We report cases of ACUMs in two patients, a 14-year-old girl and a 25-year-old woman, both with complaints of severe dysmenorrhea that had started at menarche and had progressively worsened since. A large cystic lesion was localized in the anterolateral wall of the myometrium separate from the endometrium, which was difficult to distinguish from congenital uterine anomalies. Laparoscopic excision of the ACUMs was successful and completely resolved the dysmenorrhea. Early investigation of severe dysmenorrhea in young women can provide appropriate management and relieve symptoms.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.179-192
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• 2023

The widespread use of Cloud Computing, Internet of Things (IoT), and social media in the Information Communication Technology (ICT) field has resulted in continuous and unavoidable cyber-attacks on users and critical infrastructures worldwide. Traditional security measures such as firewalls and encryption systems are not effective in countering these sophisticated cyber-attacks. Therefore, Intrusion Detection and Prevention Systems (IDPS) are necessary to reduce the risk to an absolute minimum. Although IDPSs can detect various types of cyber-attacks with high accuracy, their performance is limited by a high false alarm rate. This study proposes a new technique called Fuzzy Logic - Objective Risk Analysis (FLORA) that can significantly reduce false positive alarm rates and maintain a high level of security against serious cyber-attacks. The FLORA model has a high fuzzy accuracy rate of 90.11% and can predict vulnerabilities with a high level of certainty. It also has a mechanism for monitoring and recording digital forensic evidence which can be used in legal prosecution proceedings in different jurisdictions.