• Title/Summary/Keyword: 출입통제시스템

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Automatic Door System Performance Improvement Study by the disturbance compensation (외란보상을 통한 자동문 시스템 성능 개선연구)

  • Park, Won-Hyeon;Kim, Min;Jeong, Jae-Hoon;Lee, Dong Heon;Choi, Myoung Hoon;Lim, Jae Jun;Byun, Gi-Sik;Kim, Gwan-Hyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.734-736
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    • 2016
  • Doors are in various buildings, such as large retail stores, hospitals, restaurants, government offices and is used as a door to provide convenience for customers, the convenience of security to control doors and exterior access Castle, etc. In the case of housing door facilities It has been used widely. However, the conventional automatic door controller Although the primary use of the PID control, the contact size and weight depending on the location to cause an instability in the system controller or the like, and disturbance of parameter variation and uncertain dynamics because of the wide variations. In this paper, we design a robust controller to compensate for uncertainties and to compensate for the disturbance.

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A Study on Institutional Foundation on the Korea Counter-Terrorism System (한국 테러대응 시스템의 제도적 구축방안)

  • Kwon, Jeong-Hoon
    • Korean Security Journal
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    • no.25
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    • pp.27-61
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    • 2010
  • This study looks at plans for the efficient functions of the current terror response system in Korea. The results are derived from by comparing and analyzing American, British, German, Japanese, and Korean terror response systems. It focuses especially on addressing some problems with Korea's terror response system and how to operate it effectively. The study will systematically compare and analyze each nation's terror countermeasure studying organizational, functional, and legal aspects as standards. This study shows that there is not an exclusive terror response center in Korea compared with other nations such as America, the United Kingdom, Germany, and Japan. Also it is difficult to expect effective and vigorous operations due to weak cooperation across the relevant organizations. The presidential directive of the state's anti-terrorism action guidelines is legally ineffective. This means that on legal grounds, it is difficult to take actions to prevent the terrorism. Therefore, keys to counteracting terrorism derived from this study are summarized below. In the first place, an integrated terror response system should be set up for expansion of information sharing which leads to emergence effect. In the second place, the superior legislative systems should be made for the cleardefinition and extent of what the terror is, rigid enforcement of investigation, immigration, and keeping an eye on the funds raised by terrorists and tracking down the terrorists, the plan for eco-terrorism. In the third place, to augment security of vital facilities and peoples' awareness of terrorism safety should be emphasized and a cooperative system between civil and government organizations need to be built. In the fourth place, system for crisis management must be provided in an effort to maximize management system of terrorism and unify a decentralized emergency countermeasures effectively.

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Electronic Roll Book using Electronic Bracelet.Child Safe-Guarding Device System (전자 팔찌를 이용한 전자 출석부.어린이 보호 장치 시스템)

  • Moon, Seung-Jin;Kim, Tae-Nam;Kim, Pan-Su
    • Journal of Intelligence and Information Systems
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    • v.17 no.4
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    • pp.143-155
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    • 2011
  • Lately electronic tagging policy for the sexual offenders was introduced in order to reduce and prevent sexual offences. However, most sexual offences against children happening these days are committed by the tagged offenders whose identities have been released. So, for the crime prevention, we need measures with which we could minimize the suffers more promptly and actively. This paper suggests a new system to relieve the sexual abuse related anxiety of the children and solve the problems that electronic bracelet has. Existing bracelets are only worn by serious criminals, and it's only for risk management and positioning, there is no way to protect the children who are the potential victims of sexual abuse and there actually happened some cases. So we suggest also letting the students(children) wear the LBS(Location Based Service) and USN(Ubiquitous Sensor Network) technology based electronic bracelets to monitor and figure out dangerous situations intelligently, so that we could prevent sexual offences against children beforehand, and while a crime is happening, we could judge the situation of the crime intelligently and take swift action to minimize the suffer. And by checking students' attendance and position, guardians could know where their children are in real time and could protect the children from not only sexual offences but also violent crimes against children like kidnapping. The overall system is like follows : RFID Tag for children monitors the approach of offenders. While an offender's RFID tag is approaching, it will transmit the situation and position as the first warning message to the control center and the guardians. When the offender is going far away, it turns to monitoring mode, and if the tag of the child or the offender is taken off or the child and offender stay at one position for 3~5 minutes or longer, then it will consider this as a dangerous situation, then transmit the emergency situations and position as the second warning message to the control center and the guardians, and ask for the dispatch of police to prevent the crime at the initial stage. The RFID module of criminals' electronic bracelets is RFID TAG, and the RFID module for the children is RFID receiver(reader), so wherever the offenders are, if an offender is at a place within 20m from a child, RFID module for children will transmit the situation every certain periods to the control center by the automatic response of the receiver. As for the positioning module, outdoors GPS or mobile communications module(CELL module)is used and UWB, WI-FI based module is used indoors. The sensor is set under the purpose of making it possible to measure the position coordinates even indoors, so that one could send his real time situation and position to the server of central control center. By using the RFID electronic roll book system of educational institutions and safety system installed at home, children's position and situation can be checked. When the child leaves for school, attendance can be checked through the electronic roll book, and when school is over the information is sent to the guardians. And using RFID access control turnstiles installed at the apartment or entrance of the house, the arrival of the children could be checked and the information is transmitted to the guardians. If the student is absent or didn't arrive at home, the information of the child is sent to the central control center from the electronic roll book or access control turnstiles, and look for the position of the child's electronic bracelet using GPS or mobile communications module, then send the information to the guardians and teacher so that they could report to the police immediately if necessary. Central management and control system is built under the purpose of monitoring dangerous situations and guardians' checking. It saves the warning and pattern data to figure out the areas with dangerous situation, and could help introduce crime prevention systems like CCTV with the highest priority. And by DB establishment personal data could be saved, the frequency of first and second warnings made, the terminal ID of the specific child and offender, warning made position, situation (like approaching, taken off of the electronic bracelet, same position for a certain time) and so on could be recorded, and the data is going to be used for preventing crimes. Even though we've already introduced electronic tagging to prevent recurrence of child sexual offences, but the crimes continuously occur. So I suggest this system to prevent crimes beforehand concerning the children's safety. If we make electronic bracelets easy to use and carry, and set the price reasonably so that many children can use, then lots of criminals could be prevented and we can protect the children easily. By preventing criminals before happening, it is going to be a helpful system for our safe life.

The Method of Analyzing Firewall Log Data using MapReduce based on NoSQL (NoSQL기반의 MapReduce를 이용한 방화벽 로그 분석 기법)

  • Choi, Bomin;Kong, Jong-Hwan;Hong, Sung-Sam;Han, Myung-Mook
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.4
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    • pp.667-677
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    • 2013
  • As the firewall is a typical network security equipment, it is usually installed at most of internal/external networks and makes many packet data in/out. So analyzing the its logs stored in it can provide important and fundamental data on the network security research. However, along with development of communications technology, the speed of internet network is improved and then the amount of log data is becoming 'Massive Data' or 'BigData'. In this trend, there are limits to analyze log data using the traditional database model RDBMS. In this paper, through our Method of Analyzing Firewall log data using MapReduce based on NoSQL, we have discovered that the introducing NoSQL data base model can more effectively analyze the massive log data than the traditional one. We have demonstrated execellent performance of the NoSQL by comparing the performance of data processing with existing RDBMS. Also the proposed method is evaluated by experiments that detect the three attack patterns and shown that it is highly effective.

Distortion Invariant Vehicle License Plate Extraction and Recognition Algorithm (왜곡 불변 차량 번호판 검출 및 인식 알고리즘)

  • Kim, Jin-Ho
    • The Journal of the Korea Contents Association
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    • v.11 no.3
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    • pp.1-8
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    • 2011
  • Automatic vehicle license plate recognition technology is widely used in gate control and parking control of vehicles, and police enforcement of illegal vehicles. However inherent geometric information of the license plate can be transformed in the vehicle images due to the slant and the sunlight or lighting environment. In this paper, a distortion invariant vehicle license plate extraction and recognition algorithm is proposed. First, a binary image reserving clean character strokes can be achieved by using a DoG filter. A plate area can be extracted by using the location of consecutive digit numbers that reserves distortion invariant characteristic. License plate is recognized by using neural networks after geometric distortion correction and image enhancement. The simulation results of the proposed algorithm show that the accuracy is 98.4% and the average speed is 0.05 seconds in the recognition of 6,200 vehicle images that are obtained by using commercial LPR system.

Implemention of Refrigerator Application using NFC (NFC를 이용한 냉장고 Application 구현)

  • Ham, Ji-Hun;Yun, Min-Gyu;Han, Jung-Woo;Kim, Tae Yong;Jang, Won-Tae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.570-572
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    • 2015
  • NFC (Near Field Communication) is an area of the RFID technology is a kind of short-range wireless communication. NFC technology is to utilize the data transfer, the access control system is usefully employed in many fields, such as mobile payment. Recently smartphone application development using NFC is activated, recognition of the convenience of the current NFC tag is insignificant state. In this paper, it is the content of the Application that was created in order to provide the knowledge of convenience food to the customer to visit the mart. Users with Mart, using smartphones, at a NFC tag that is attached to the food display stand food information, purchasing tips, keeping method, data such efficacy is provided over the screen of the smartphone. If you purchased the food is placed in the refrigerator "moves to the food list of application to click the button, through the food list screen their food list in the refrigerator, and by providing information such as expiration date, the user There is help me to be able to buy the more convenient food.

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Small Business Technological Assets Protection Factors Analysis Using Logistic Regression Analysis (로지스틱 회귀분석을 이용한 중소기업 기술보호 요인 분석)

  • Hong, Jun Suk;Park, Won Hyung;Kim, Yanghoon;Kook, Kwang Ho
    • The Journal of Society for e-Business Studies
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    • v.20 no.3
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    • pp.1-10
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    • 2015
  • The main objective of this study was to identify the factors that can maximize the effect of preventing technology leakage by government support. Therefore we used the 2013 small business technology protection capabilities and level of research which is conducted by the Small and Medium Business Administration, and have analyzed the presence of small business technological assets leakage protection eand skills. Multiple logistic regression analysis was performed to identify 1,518 small companies (43 big companies are excluded) which are divided into 155 technological assets leaked small business and non-leaked 1363 small business. The most important factors associated with technology leakage were entrant control system, security audit, employee absence of security activities and important data protection measures. This result shows that if the government can support more for these details, technological asset leakage prevention effect is expected to be maximized.

A Iris Recognition Using Zernike Moment and Wavelet (Zernike 모멘트와 Wavelet을 이용한 홍채인식)

  • Choi, Chang-Soo;Park, Jong-Cheon;Jun, Byoung-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.11
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    • pp.4568-4575
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    • 2010
  • Iris recognition is a biometric technology that uses iris pattern information, which has features of stability, security etc. Because of this reason, it is especially appropriate under certain circumstances of requiring a high security. Recently, using the iris information has a variety uses in the fields of access control and information security. In extracting the iris feature, it is desirable to extract the feature which is invariant to size, lights, rotation. We have easy solutions to the problem of iris size and lights by previous processing but there is still problem of iris feature extract invariant to rotation. In this paper, To improve an awareness ratio and decline in speed for a revision of rotation, it is proposed that the iris recognition method using Zernike Moment and Daubechies Wavelet. At first step, the proposed method groups rotated iris into similar things by statistical feature of Zernike Moment invariant to a rotation, which shortens processing time of iris recognition and looks equal to an established method in the performance of recognition too. therefore, proposed method could confirm the possibility of effective application for large scale iris recognition system.

Design and development of non-contact locks including face recognition function based on machine learning (머신러닝 기반 안면인식 기능을 포함한 비접촉 잠금장치 설계 및 개발)

  • Yeo Hoon Yoon;Ki Chang Kim;Whi Jin Jo;Hongjun Kim
    • Convergence Security Journal
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    • v.22 no.1
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    • pp.29-38
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    • 2022
  • The importance of prevention of epidemics is increasing due to the serious spread of infectious diseases. For prevention of epidemics, we need to focus on the non-contact industry. Therefore, in this paper, a face recognition door lock that controls access through non-contact is designed and developed. First very simple features are combined to find objects and face recognition is performed using Haar-based cascade algorithm. Then the texture of the image is binarized to find features using LBPH. An non-contact door lock system which composed of Raspberry PI 3B+ board, an ultrasonic sensor, a camera module, a motor, etc. are suggested. To verify actual performance and ascertain the impact of light sources, various experiment were conducted. As experimental results, the maximum value of the recognition rate was about 85.7%.

Fat Client-Based Abstraction Model of Unstructured Data for Context-Aware Service in Edge Computing Environment (에지 컴퓨팅 환경에서의 상황인지 서비스를 위한 팻 클라이언트 기반 비정형 데이터 추상화 방법)

  • Kim, Do Hyung;Mun, Jong Hyeok;Park, Yoo Sang;Choi, Jong Sun;Choi, Jae Young
    • KIPS Transactions on Computer and Communication Systems
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    • v.10 no.3
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    • pp.59-70
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    • 2021
  • With the recent advancements in the Internet of Things, context-aware system that provides customized services become important to consider. The existing context-aware systems analyze data generated around the user and abstract the context information that expresses the state of situations. However, these datasets is mostly unstructured and have difficulty in processing with simple approaches. Therefore, providing context-aware services using the datasets should be managed in simplified method. One of examples that should be considered as the unstructured datasets is a deep learning application. Processes in deep learning applications have a strong coupling in a way of abstracting dataset from the acquisition to analysis phases, it has less flexible when the target analysis model or applications are modified in functional scalability. Therefore, an abstraction model that separates the phases and process the unstructured dataset for analysis is proposed. The proposed abstraction utilizes a description name Analysis Model Description Language(AMDL) to deploy the analysis phases by each fat client is a specifically designed instance for resource-oriented tasks in edge computing environments how to handle different analysis applications and its factors using the AMDL and Fat client profiles. The experiment shows functional scalability through examples of AMDL and Fat client profiles targeting a vehicle image recognition model for vehicle access control notification service, and conducts process-by-process monitoring for collection-preprocessing-analysis of unstructured data.