• Title/Summary/Keyword: Image-based access control

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Design and Implementation of Information Security System to Prevent Leakage of Drawing Information (설계정보 유출방지를 위한 정보보안시스템 설계 및 구현)

  • Chang, H.B.;Lee, H.S.
    • Korean Journal of Computational Design and Engineering
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    • v.11 no.5
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    • pp.327-334
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    • 2006
  • Recently, security incidents are growing rapidly in which internal employees let the drawing leak out to competitors or other countries. This type of security incidents has a characteristic that it occurs less frequently than other types of security incidents such as network or server security incident, but the damage is a lot more serious. The existing information security technologies to prevent internal information from being leaked out are only applicable to general documents(office documents, web pages and image files in which data are encrypted one by one). However, architectural drawings made up of collection of files with various formats(extensions) have problems with the process speed of en(de) cryption and accuracy, so the developments of security technologies by new methods are required. In this study, we design and develop a security technology based on work area with which users can protect the leakage of critical information in the kernel level while maintaining their work environment when they have to use sharing information that cannot be managed by the unit of file. As a result, we developed the "Virtual Secure Disk" which allows only authorized users and applications to have an access to drawings, and have verified its security by applying it to the actual company.

A Robust Method for Partially Occluded Face Recognition

  • Xu, Wenkai;Lee, Suk-Hwan;Lee, Eung-Joo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.7
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    • pp.2667-2682
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    • 2015
  • Due to the wide application of face recognition (FR) in information security, surveillance, access control and others, it has received significantly increased attention from both the academic and industrial communities during the past several decades. However, partial face occlusion is one of the most challenging problems in face recognition issue. In this paper, a novel method based on linear regression-based classification (LRC) algorithm is proposed to address this problem. After all images are downsampled and divided into several blocks, we exploit the evaluator of each block to determine the clear blocks of the test face image by using linear regression technique. Then, the remained uncontaminated blocks are utilized to partial occluded face recognition issue. Furthermore, an improved Distance-based Evidence Fusion approach is proposed to decide in favor of the class with average value of corresponding minimum distance. Since this occlusion removing process uses a simple linear regression approach, the completely computational cost approximately equals to LRC and much lower than sparse representation-based classification (SRC) and extended-SRC (eSRC). Based on the experimental results on both AR face database and extended Yale B face database, it demonstrates the effectiveness of the proposed method on issue of partial occluded face recognition and the performance is satisfactory. Through the comparison with the conventional methods (eigenface+NN, fisherfaces+NN) and the state-of-the-art methods (LRC, SRC and eSRC), the proposed method shows better performance and robustness.

Development of AI Image Analysis Emergency Door Opening and Closing System linked Wired/Wireless Counting (유무선 카운팅 연동형 AI 영상분석 비상문 개폐 시스템 개발)

  • Cheol-soo, Kang;Ji-yun, Hong;Bong-hyun, Kim
    • Journal of Digital Policy
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    • v.1 no.2
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    • pp.1-8
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    • 2022
  • In case of a dangerous situation, the roof, which serves as an emergency exit, must be open in case of fire according to the Fire Act. However, when the roof door is opened, it has become a place of various incidents and accidents such as illegal entry, crime, and suicide. As a result, it is a reality to close the roof door in terms of facility management to prevent crime, various incidents, and accidents. Accordingly, the government is pushing to legislate regulations on housing construction standards, etc. that mandate the installation of electronic automatic opening and closing devices on rooftop doors. Therefore, in this paper, an intelligent emergency door opening/closing device system is proposed. To this end, an intelligent emergency door opening and closing system was developed by linking wired and wireless access counting and AI image analysis. Finally, it is possible to build a wireless communication-based integrated management platform that provides remote control and history management in a centralized method of device status real-time monitoring and event alarm.

WWW Based Instruction Systems for English Learning: GAIA

  • Park, Phan-Woo
    • Journal of The Korean Association of Information Education
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    • v.3 no.2
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    • pp.113-119
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    • 2000
  • I studied a distance education model for English learning on the Internet. Basic WWW files, that contain courseware, are constructed with HTML, and functions, which are required in learning, are implemented with Java. Students and educators can access the preferred unit composed of the appropriate text, voice and image data by using a WWW browser at any time. The education system supports the automatic generation facility of English problems to practice reading and writing by making good use of the courseware data or various English text resources located on the Internet. Our system has functions to manage and control the flow of distance learning and to offer interaction between students and the system in a distributed environment. Educators can manage students' learning and can immediately be aware of who is attending and who is quitting the lesson in virtual space. Also, students and educators in different places can communicate and discuss a topic through the server. I implemented these functions, which are required in a client/server environment of distance education, with the use of Java. The URL for this system is "http://park.taegu-e.ac.kr" in the name of GAIA.

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A study on Web interface for the Blind. (시각장애인을 위한 웹 인터페이스에 관한 연구)

  • Choi, T.J.;Jang, B.T.;Kim, H.K.;Kim, J.K.;Hur, W.
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.559-562
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    • 1999
  • In this paper, we developed on internet based assembly information display system for the blind. The system is consist of hardware and software. The hardware is consist of a voice synthesis device and a tactile display for character information, and the software is consist of internet web browser for the blind and braille program. The tactile-device system consists of a control unit, pin array, pin generator, serial port, and a power supply. The pin exerted by a electromagnetic method, solenoid. The internet web browser separates the character and image from internet web page, and character information in the web page is converted to braille and fed to sound system. Also the image in the web page can be printed developed tactile display. As the results of experiment, the blind could access the internet web site by using this system and understand various internet information.

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Face Recognition using Extended Center-Symmetric Pattern and 2D-PCA (Extended Center-Symmetric Pattern과 2D-PCA를 이용한 얼굴인식)

  • Lee, Hyeon Gu;Kim, Dong Ju
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.2
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    • pp.111-119
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    • 2013
  • Face recognition has recently become one of the most popular research areas in the fields of computer vision, machine learning, and pattern recognition because it spans numerous applications, such as access control, surveillance, security, credit-card verification, and criminal identification. In this paper, we propose a simple descriptor called an ECSP(Extended Center-Symmetric Pattern) for illumination-robust face recognition. The ECSP operator encodes the texture information of a local face region by emphasizing diagonal components of a previous CS-LBP(Center-Symmetric Local Binary Pattern). Here, the diagonal components are emphasized because facial textures along the diagonal direction contain much more information than those of other directions. The facial texture information of the ECSP operator is then used as the input image of an image covariance-based feature extraction algorithm such as 2D-PCA(Two-Dimensional Principal Component Analysis). Performance evaluation of the proposed approach was carried out using various binary pattern operators and recognition algorithms on the Yale B database. The experimental results demonstrated that the proposed approach achieved better recognition accuracy than other approaches, and we confirmed that the proposed approach is effective against illumination variation.

Implementation of Digital Photo Frame using Embedded Linux System (임베디드 리눅스 시스템을 이용한 디지털 사진 액자 구현)

  • Hyun, Kyung-Seok;Lee, Myung-Eui
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.5
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    • pp.901-906
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    • 2006
  • In this paper, we describe the implementation of the digital photo frame system that displays the images coming through the memory card of a digital camera. Each image can be recorded with voice in this system, and a function of the mp3 player is implemented as well. We use Intel PXA255 to control the system and modify the bootloader and linux kernel. Also we adapt device driver for this system. For the realization of image display, voice recording and mp3 playing in the basis of the linux system, we program some of the Microwindows system configuration files and program applications here. This study will be a good example to access the development of the digital photo frame based on the linux system using less-power and high performed embedded processor.

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Boosting the Face Recognition Performance of Ensemble Based LDA for Pose, Non-uniform Illuminations, and Low-Resolution Images

  • Haq, Mahmood Ul;Shahzad, Aamir;Mahmood, Zahid;Shah, Ayaz Ali;Muhammad, Nazeer;Akram, Tallha
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.6
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    • pp.3144-3164
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    • 2019
  • Face recognition systems have several potential applications, such as security and biometric access control. Ongoing research is focused to develop a robust face recognition algorithm that can mimic the human vision system. Face pose, non-uniform illuminations, and low-resolution are main factors that influence the performance of face recognition algorithms. This paper proposes a novel method to handle the aforementioned aspects. Proposed face recognition algorithm initially uses 68 points to locate a face in the input image and later partially uses the PCA to extract mean image. Meanwhile, the AdaBoost and the LDA are used to extract face features. In final stage, classic nearest centre classifier is used for face classification. Proposed method outperforms recent state-of-the-art face recognition algorithms by producing high recognition rate and yields much lower error rate for a very challenging situation, such as when only frontal ($0^{\circ}$) face sample is available in gallery and seven poses ($0^{\circ}$, ${\pm}30^{\circ}$, ${\pm}35^{\circ}$, and ${\pm}45^{\circ}$) as a probe on the LFW and the CMU Multi-PIE databases.

Implementation and Evaluation of Optimal Dose Control for Portable Detectors with SiPM (SiPM을 통한 휴대용 검출기의 최적 선량 제어에 대한 구현 및 평가)

  • Byung-Wuk Kang;Sun-Kook Yoo
    • Journal of the Korean Society of Radiology
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    • v.17 no.7
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    • pp.1139-1147
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    • 2023
  • The purpose of this paper is to present and evaluate the performance of a method for controlling the dose for optimal image acquisition while minimizing patient exposure by applying a small-sized Photomultiplier(SiPM) sensor inside a portable detector. Portable detectors have the advantage of being able to quickly access the patient's location for rapid diagnosis, but this mobility comes with the challenge of dose control. This paper presents a method to identify the dose that can have the DQE and optimal image quality of the detector through image evaluation based on IEC62220-1-1, an international standard for X-ray imaging devices, and to identify the optimal dose by matching the ADU of the image and the output of the SiPM Sensor. The Skull AP image was acquired by implementing the detector manufacturer's reference dose. The optimal dose was 342.8 µGy, and the optimal controlled dose was 148.3 µGy, which is 57 % of the manufacturer's reference dose. The Chest AP image was 81.9 µGy and the optimal controlled dose was 27.9 µGy, which is a high dose reduction effect of 66 %. In addition, the two images were analyzed by five radiologists and found to have no clinically significant difference in anatomical delineation.

Interactive Remote Lecture System Based on IPv6 Multicast Services (IPv6 멀티캐스트 기반의 쌍방향 원격 강의 시스템)

  • Kang, Sung-Ho;Choo, Young-Yeol
    • The Journal of the Korea Contents Association
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    • v.6 no.11
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    • pp.295-301
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    • 2006
  • The scope ID field of IPv6 multicast address indicates the zone of the destination for which a multicast traffic is intended. Without any further examination on the header field, the scope ID enables a router to determine whether the traffic will be forwarded to a subnet or not. For the graceful migration from IPv4 networks to IPv6 networks, various IPv6 applications working through IPv4 networks are indispensable during the migration period. This paper describes development of an interactive remote lecture system providing service integration on voice, image, and data of teaching materials. Access right to the network for dialog among multicast group members is controlled via additional TCP (Transmission Control Protocol) session. A jitter buffer algorithm was implemented to improve the voice communication jitters.

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