• Title/Summary/Keyword: Object De-identification

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Multi-type object detection-based de-identification technique for personal information protection (개인정보보호를 위한 다중 유형 객체 탐지 기반 비식별화 기법)

  • Ye-Seul Kil;Hyo-Jin Lee;Jung-Hwa Ryu;Il-Gu Lee
    • Convergence Security Journal
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    • v.22 no.5
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    • pp.11-20
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    • 2022
  • As the Internet and web technology develop around mobile devices, image data contains various types of sensitive information such as people, text, and space. In addition to these characteristics, as the use of SNS increases, the amount of damage caused by exposure and abuse of personal information online is increasing. However, research on de-identification technology based on multi-type object detection for personal information protection is insufficient. Therefore, this paper proposes an artificial intelligence model that detects and de-identifies multiple types of objects using existing single-type object detection models in parallel. Through cutmix, an image in which person and text objects exist together are created and composed of training data, and detection and de-identification of objects with different characteristics of person and text was performed. The proposed model achieves a precision of 0.724 and mAP@.5 of 0.745 when two objects are present at the same time. In addition, after de-identification, mAP@.5 was 0.224 for all objects, showing a decrease of 0.4 or more.

Research on the development of automated tools to de-identify personal information of data for AI learning - Based on video data - (인공지능 학습용 데이터의 개인정보 비식별화 자동화 도구 개발 연구 - 영상데이터기반 -)

  • Hyunju Lee;Seungyeob Lee;Byunghoon Jeon
    • Journal of Platform Technology
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    • v.11 no.3
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    • pp.56-67
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    • 2023
  • Recently, de-identification of personal information, which has been a long-cherished desire of the data-based industry, was revised and specified in August 2020. It became the foundation for activating data called crude oil[2] in the fourth industrial era in the industrial field. However, some people are concerned about the infringement of the basic rights of the data subject[3]. Accordingly, a development study was conducted on the Batch De-Identification Tool, a personal information de-identification automation tool. In this study, first, we developed an image labeling tool to label human faces (eyes, nose, mouth) and car license plates of various resolutions to build data for training. Second, an object recognition model was trained to run the object recognition module to perform de-identification of personal information. The automated personal information de-identification tool developed as a result of this research shows the possibility of proactively eliminating privacy violations through online services. These results suggest possibilities for data-based industries to maximize the value of data while balancing privacy and utilization.

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Research on Artificial Intelligence Based De-identification Technique of Personal Information Area at Video Data (영상데이터의 개인정보 영역에 대한 인공지능 기반 비식별화 기법 연구)

  • In-Jun Song;Cha-Jong Kim
    • IEMEK Journal of Embedded Systems and Applications
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    • v.19 no.1
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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.

A Health Management Service with Beacon-Based Identification for Preventive Elderly Care

  • Li, Jian-Wei;Chang, Yi-Chun;Xu, Min-Xiong;Huang, De-Yao
    • Journal of Information Processing Systems
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    • v.16 no.3
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    • pp.648-662
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    • 2020
  • Bluetooth low energy (BLE) beacon is an actively push-to-broadcast electronic signal and can be used for object identification. This paper uses such beacon-based identification and Internet of Things (IoT) technologies for the elder health management service system to simplify the user interfaces and steps for preventive elder care. In the proposed system, an elder's family member, caregiver, or medical worker can conveniently and quickly record daily health management information. Besides, through the statistics and analysis of the data on the back end of the system, it is helpful for the elderly to refer to the data of daily care management and future management trends. Similarly, it is also an essential reference data for system maintenance and the new preventive health care services development.

A study on the policy of de-identifying unstructured data for the medical data industry (의료 데이터 산업을 위한 비정형 데이터 비식별화 정책에 관한 연구)

  • Sun-Jin Lee;Tae-Rim Park;So-Hui Kim;Young-Eun Oh;Il-Gu Lee
    • Convergence Security Journal
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    • v.22 no.4
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    • pp.85-97
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    • 2022
  • With the development of big data technology, data is rapidly entering a hyperconnected intelligent society that accelerates innovative growth in all industries. The convergence industry, which holds and utilizes various high-quality data, is becoming a new growth engine, and big data is fused to various traditional industries. In particular, in the medical field, structured data such as electronic medical record data and unstructured medical data such as CT and MRI are used together to increase the accuracy of disease prediction and diagnosis. Currently, the importance and size of unstructured data are increasing day by day in the medical industry, but conventional data security technologies and policies are structured data-oriented, and considerations for the security and utilization of unstructured data are insufficient. In order for medical treatment using big data to be activated in the future, data diversity and security must be internalized and organically linked at the stage of data construction, distribution, and utilization. In this paper, the current status of domestic and foreign data security systems and technologies is analyzed. After that, it is proposed to add unstructured data-centered de-identification technology to the guidelines for unstructured data and technology application cases in the industry so that unstructured data can be actively used in the medical field, and to establish standards for judging personal information for unstructured data. Furthermore, an object feature-based identification ID that can be used for unstructured data without infringing on personal information is proposed.

Trametes villosa Lignin Peroxidase (TvLiP): Genetic and Molecular Characterization

  • Carneiro, Rita Terezinha de Oliveira;Lopes, Maiza Alves;Silva, Marilia Lordelo Cardoso;Santos, Veronica da Silva;Souza, Volnei Brito de;Sousa, Aurizangela Oliveira de;Pirovani, Carlos Priminho;Koblitz, Maria Gabriela Bello;Benevides, Raquel Guimaraes;Goes-Neto, Aristoteles
    • Journal of Microbiology and Biotechnology
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    • v.27 no.1
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    • pp.179-188
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    • 2017
  • White-rot basidiomycetes are the organisms that decompose lignin most efficiently, and Trametes villosa is a promising species for ligninolytic enzyme production. There are several publications on T. villosa applications for lignin degradation regarding the expression and secretion of laccase and manganese peroxidase (MnP) but no reports on the identification and characterization of lignin peroxidase (LiP), a relevant enzyme for the efficient breakdown of lignin. The object of this study was to identify and partially characterize, for the first time, gDNA, mRNA, and the corresponding lignin peroxidase (TvLiP) protein from T. villosa strain CCMB561 from the Brazilian semiarid region. The presence of ligninolytic enzymes produced by this strain grown in inducer media was qualitatively and quantitatively analyzed by spectrophotometry, qPCR, and dye fading using Remazol Brilliant Blue R. The spectrophotometric analysis showed that LiP activity was higher than that of MnP. The greatest LiP expression as measured by qPCR occurred on the $7^{th}$ day, and the ABSA medium (agar, sugarcane bagasse, and ammonium sulfate) was the best that favored LiP expression. The amplification of the TvLiP gene median region covering approximately 50% of the T. versicolor LPGIV gene (87% identity); the presence of Trp199, Leu115, Asp193, Trp199, and Ala203 in the translated amplicon of the T. villosa mRNA; and the close phylogenetic relationship between TvLiP and T. versicolor LiP all indicate that the target enzyme is a lignin peroxidase. Therefore, T. villosa CCMB561 has great potential for use as a LiP, MnP, and Lac producer for industrial applications.

Indirect Neuro-Control of Nonlinear Multivariable Servomechanisms (비선형 다변수 시스템의 간접신경망제어)

  • Jang, Jun-Oh;Lee, Pyeong-Gi
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.38 no.5
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    • pp.14-22
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    • 2001
  • This paper presents identification and control designs using neural networks for a class of multivariable nonlinear servomechanisms. A proposed neuro-controller is a combination of linear controllers and a neural network, and is trained by indirect neuro-control scheme. The proposed neuro-controller is implemented and tested on an IBM PC-based two 2 bar systems holding an object, and is applicable to many de-motor-driven precision multivariable nonlinear servomechanisms. The ideas, algorithm, and experimental results arc described. Moreover, experimental results are shown to be superior to those of conventional control.

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Scene extraction technology on deep learning for media production (미디어 제작을 위한 씬 검출 기법)

  • Song, Hyok;Ko, Min-Soo;Yoo, Jisang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2022.06a
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    • pp.184-185
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    • 2022
  • 인터넷 환경의 변화에 따라 텍스트 기반의 정보 전달에서 멀티미디어 기반의 스트리밍 방식으로 바뀌어가고 있다. 또한 대용량의 동영상 데이터뿐 아니라 Shorts, Clip Reels 또는 등 다양한 방식의 동영상 형태로 배포되고 있으며 서비스 플랫폼에서는 손쉽게 편집할 수 있도록 기능을 제공하고 있다. 대용량 콘텐츠, TV, Youtue 콘텐츠를 포함하여 소용량 동영상 편집에 필요한 영상 제작 기술에서 가장 인력과 시간이 많이 소요되는 부분은 편집 단계로 딥러닝 기반 인공지능 기술을 활용하여 자동화하고 있으며 영상편집에서 가장 기본이 되는 단위인 씬검출 기법을 개발하였다. 키프레임 검출 기법과 유사도 기법을 이용하여 씬을 추출하였으며 블록 Cost Function을 이용하여 최적화하여 0.5214의 정확도를 도출하였다.

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The Study on the Expressive Characteristics of Complex Surface in Contemporary Architecture - focused on of Herzog & de Meuron's Architecture - (현대건축에서 나타나는 복합적 외피의 표현적 특성에 관한 연구 - 헤르조그 & 드 뮤론의 건축물을 중심으로 -)

  • Kim, Jung-Gon
    • Korean Institute of Interior Design Journal
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    • v.21 no.5
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    • pp.3-11
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    • 2012
  • The first visual contact in architecture happens in surface, and it could be significant object as well as the starting point to recognize the essence and perceive the buildings. Architecture surface could not get out of the restriction of structures and materials that support buildings for a long time in the past. Architecture surface in the past should fulfill the structural role to form are appearance of buildings and support buildings at the same time, so it was difficult to get out of logic for material and thickness of walls, arrangements and sizes of windows. However, since the modern age, architecture surface came to be freer according to the development of building technology, and development of technology changes shows tendencies to express role of new design factor as an architectural element emphasized expression and autonomy,s which was escaped from the subordinate relationship that the surface of building must do the structural function. In this study, it would be examined the expressive characteristics of various epidermis that are expressed in architecture of Herzog & de Meuron since the end of 20thcentury focused on comprehended and analyzed results of changes and characteristics of contemporary society. Through this, it would be comprehended the epidermis of architecture that has particular character expressed in modern buildings of Herzog & de Meuron, and it would be composed a certain linkage between this and characteristics of contemporary society and it would be investigated that the establishing process of inner spaces. Identification through case analysis for this would perform a role of catalyst for the new possibility and development of contemporary architecture's surface expression in the future.

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Women's Image and Fashion Expressed in Popular Park Hyewon Weekly Magazine 'Sunday-Seoul' -From First Issue, 1968 to 168 Issue, 1971- (통속 주간지 『선데이 서울』 화보와 기사에 나타난 여성이미지와 패션 -1968년 창간호부터 1971년 168호까지-)

  • Park, Hyewon
    • Journal of Fashion Business
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    • v.23 no.5
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    • pp.31-47
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    • 2019
  • This study focuses on women and fashion in Korea between the 1960s and 1970s, when the government regulated the socio-cultural aspects of individuals while achieving remarkable economic industrialization, particularly through the representative popular weekly magazine 'Sunday-Seoul'. The scope of this study included 168 issues from September 22, 1968 to December 26, 1971. Two research methods were applied, literature research and content analysis research. First, the literature on Korean society, culture, women's fashion, the sociological, feminine and popular cultural studies were reviewed. Thereafter, the contents, cover, articles, pictorials were collected and analyzed for classification and identification of the women's images and women's fashion. In the case of fashion articles, the contents of vocabulary and description texts were highlighted, and in the case of pictorials, the visual elements such as images, silhouettes of clothes, details of features, and patterns of materials were assessed. The images of women in Sunday Seoul's articles and pictorials exhibited extreme opposite, presenting the most important purpose of marriage, 'wise mother and good wife' and 'image of sexual object' for men. The two images of women differed; however, there was one more female image 'industrial laborer' which was placed in the blind spot of interest. The characteristics of fashion which appeared in 'Sunday-Seoul' were 'uniform modern elegance' based on neat mini-style, and 'sexual image of exposure fashion' which endeavored to selectively borrow from overseas pictorials and trend-oriented articles. This could be viewed as a 'transformation of traditional Hanbok', 'avant-garde trend' and 'de-sexualization & indifference of fashion'.