• Title/Summary/Keyword: memory card

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RFID Tag Protection using Face Feature

  • Park, Sung-Hyun;Rhee, Sang-Burm
    • Journal of the Semiconductor & Display Technology
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    • v.6 no.2 s.19
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    • pp.59-63
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    • 2007
  • Radio Frequency Identification (RFID) is a common term for technologies using micro chips that are able to communicate over short-range radio and that can be used for identifying physical objects. RFID technology already has several application areas and more are being envisioned all the time. While it has the potential of becoming a really ubiquitous part of the information society over time, there are many security and privacy concerns related to RFID that need to be solved. This paper proposes a method which could protect private information and ensure RFID's identification effectively storing face feature information on RFID tag. This method improved linear discriminant analysis has reduced the dimension of feature information which has large size of data. Therefore, face feature information can be stored in small memory field of RFID tag. The proposed algorithm in comparison with other previous methods shows better stability and elevated detection rate and also can be applied to the entrance control management system, digital identification card and others.

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An Implementation of EMV Specifications for Smartcard Terminals (스마트 카드 터미널를 위한 EMV Specification의 구현)

  • Park, Chang-Hyeon;Doo, Myung-Taek;Lee, Baek-Soon;Kwon, Oh-kyu
    • The KIPS Transactions:PartA
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    • v.9A no.4
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    • pp.429-440
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    • 2002
  • Smartcard is a kind of computing device with it's own processor and memory Thus, the international money market is going to accomodate the use of smartcards instead of traditional magnetic cards for the future money market. EMV is a standard protocol for smartcards, proposed by Europay, Mastercard, and Visa, which are three famous international settlement organizations. This paper presents the implementation of EMV specifications for the smartcard terminals for supporting various application programs. This paper shows that the implemented EMV terminal passes the international approval tests.

Performance Analysis of Database Engine for Card List Management in an Electronic Payment Embedded Environment (전자 지불 임베디드 시스템을 위한 카드 리스트 관리 데이터베이스 엔진 성능 분석)

  • Kim, Jun;Nah, Il-Guh;Lee, Dong-Joon;Jeong, Jin-Woo;Ahn, Mun-Gi
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06c
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    • pp.57-59
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    • 2012
  • 전자지불 임베디드 시스템의 DB는 목적 및 기능에 따라 다양하며 비용을 최소화 하기 위해 CPU, Memory, Storage 등이 범용 PC와 비교하여 낮은 성능을 가진다. 이와 같은 특징으로 인해 범용 database을 임베디드 환경에서 사용하는 경우, 요구 성능을 만족하지 못할 수 있다. 본 논문에서는 자체 구현한 전자지불 임베디드 환경에서 전자카드 리스트 관리 데이터 베이스 엔진(이하 DBX)와 임베디드 DB 중 Berkeley DB, SQLite와 함께 성능을 측정하고 해당 결과를 분석하였다.

Design of an IOT System based on Face Recognition Technology using ESP32-CAM

  • Mahmoud, Ines;Saidi, Imen;bouzazi, Chadi
    • International Journal of Computer Science & Network Security
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    • v.22 no.8
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    • pp.1-6
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    • 2022
  • In this paper, we will present the realization of a facial recognition system using the ESP32-CAM board controlled by an Arduino board. The goal is to monitor a remote location in real time via a camera that is integrated into the ESP32 IOT board. The acquired images will be recorded on a memory card and at the same time transmitted to a pc (a web server). The development of this remote monitoring system is to create an alternative between security, reception, and transmission of information to act accordingly. The simulation results of our proposed application of the facial recognition domain are very efficient and satisfying in real time.

Deep Learning-based Delinquent Taxpayer Prediction: A Scientific Administrative Approach

  • YongHyun Lee;Eunchan Kim
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.1
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    • pp.30-45
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    • 2024
  • This study introduces an effective method for predicting individual local tax delinquencies using prevalent machine learning and deep learning algorithms. The evaluation of credit risk holds great significance in the financial realm, impacting both companies and individuals. While credit risk prediction has been explored using statistical and machine learning techniques, their application to tax arrears prediction remains underexplored. We forecast individual local tax defaults in Republic of Korea using machine and deep learning algorithms, including convolutional neural networks (CNN), long short-term memory (LSTM), and sequence-to-sequence (seq2seq). Our model incorporates diverse credit and public information like loan history, delinquency records, credit card usage, and public taxation data, offering richer insights than prior studies. The results highlight the superior predictive accuracy of the CNN model. Anticipating local tax arrears more effectively could lead to efficient allocation of administrative resources. By leveraging advanced machine learning, this research offers a promising avenue for refining tax collection strategies and resource management.

Implementation of Embedded Biometrics Technologies : A Case of a Security Token for Fingerprints (임베디드 생체 인식 기술 구현 : 지문 보안 토큰 사례)

  • 김영진;문대성;반성범;정용화;정교일
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.40 no.6
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    • pp.39-46
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    • 2003
  • Biometric technologies using biometric information like fingerprints features are in wide use for the secure user authentication in many services including log-in of computer systems, entrance ID and E-commercial security. Nowadays, biometric technologies are ported into small embedded systems like security tokens or smart cards due to the merit of being secure and automatic in comparison with the previous method in user authentication such as using a PIN. In this paper, the security token developed as an embedded system and tile user authentication system implemented and tested using fingerprints information are described. Communications between the security token and tile host are tested and verified with USB. And, execution time and runtime memory on tile security token board was measured and performance improvement was described. In addition, requisites for the transit from the security token to the match-on-card was mentioned.

Design of RFID Packaging for Construction Materials (건축자재용 RFID 패키징 설계)

  • Shin, Jae-Hui;Hwang, Suk-Seung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.6
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    • pp.923-931
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    • 2013
  • RFID (Radio Frequency Identification), which is a kind of the electronic tag, is a wireless access device using the radio frequency for recognizing the ID information. It has a variety of application such as the bus card, gate access card, distribution industry, and management of construction materials. The performance and size of RFID depend on the penetrability, recognition ratio, memory size, multi tag recognition, external pollution dust, and exterior impact, and RFID requires the packaging to protect itself considered above factors. Recently, RFID is diversely employed to effectively manage construction materials and the RFID packaging, which is robust to the external impact, is required to attach RFID on construction materials. In this paper, we propose the construction material RFID packaging designed to be robust for the external impact and to be practicable for change of the broken RFID. For the change of RFID, we separate the cast and body of the packaging. Also, we present the detail drawing for the proposed construction material RFID packaging and implement the performance evaluation of the packaging manufactured using 3D printer.

Design and Implementation of Flash Translation Layer with O(1) Crash Recovery Time (O(1) 크래시 복구 수행시간을 갖는 FTL의 설계와 구현)

  • Park, Joon Young;Park, Hyunchan;Yoo, Chuck
    • KIISE Transactions on Computing Practices
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    • v.21 no.10
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    • pp.639-644
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    • 2015
  • The capacity of flash-based storage such as Solid State Drive(SSD) and embedded Multi Media Card(eMMC) is ever-increasing because of the needs from the end-users. However, if a flash-based storage crashes, such as during power failure, the flash translation layer(FTL) is responsible for the crash recovery based on the entire flash memory. The recovery time increases as the capacity of the flash-based storages increases. We propose O1FTL with O(1) crash recovery time that is independent of the flash capacity. O1FTL adopts the working area technique suggested for the flash file system and evaluates the design on a real hardware platform. The results show that O1FTL achieves a crash recovery time that is independent of the capacity and the overhead, in terms of I/O performance, and achieves a low P/E cycle.

The Implementation of Sign Board Receiving DARC for Vehicle (차량용 FM 부가 방송 수신 전광판의 구현)

  • 김남두;최재석;김영길
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.11a
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    • pp.560-565
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    • 2002
  • In this paper, we implemented the sign board system that displays user's image, user's sentence, the information from DARC an[1 information based position by GPS module for vehicle. The existing sign board is displaying only user's image and sentence. Or other existing sign board is displaying the information via CDMA network. However, our system is also able to display the user's message like other system and gain the information more cheap by DARC. This system consists of 6 parts. The DARC control part classes the DARC information - news, weather, stock and time. The GPS control part gains moment and item to display with calculating the information of global position, direction, speed and satellite. The LED control part has two buffers to store and handle the image. The buffers help the system display various effected images on LED board. An external memory card includes the location based data, the option file and the displayed data files. The data files are stored by FAT 16 with the folder structure on external memory card. The USB controls the communication with PC. PC programs can control and monitor this system. This system is using G72l voice file format, for casting the information. This system was established at the vehicle and we monitored this system. The system displayed the DARC data , user's data and the location based data on the LED board, successfully.

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HVIA-GE: A Hardware Implementation of Virtual Interface Architecture Based On Gigabit Ethernet (HVIA-GE: 기가비트 이더넷에 기반한 Virtual Interface Architecture의 하드웨어 구현)

  • 박세진;정상화;윤인수
    • Journal of KIISE:Computer Systems and Theory
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    • v.31 no.5_6
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    • pp.371-378
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    • 2004
  • This paper presents the implementation and performance of the HVIA-GE card, which is a hardware implementation of the Virtual Interface Architecture (VIA) based on Gigabit Ethernet. The HVIA-GE card is a 32-bit/33MHz PCI adapter containing an FPGA for the VIA protocol engine and a Gigabit Ethernet chip set to construct a high performance physical network. HVIA-GE performs virtual-to-physical address translation, Doorbell, and send/receive completion operations in hardware without kernel intervention. In particular, the Address Translation Table (ATT) is stored on the local memory of the HVIA-GE card, and the VIA protocol engine efficiently controls the address translation process by directly accessing the ATT. As a result, the communication overhead during send/receive transactions is greatly reduced. Our experimental results show the maximum bandwidth of 93.7MB/s and the minimum latency of 11.9${\mu}\textrm{s}$. In terms of minimum latency HVIA-GE performs 4.8 times and 9.9 times faster than M-VIA and TCP/IP, respectively, over Gigabit Ethernet. In addition, the maximum bandwidth of HVIA-GE is 50.4% and 65% higher than M-VIA and TCP/IP respectively.