• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.20-33
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• 2021

This study is to suggest improvements of personal information protection in South Korea, according to requiring the safety of process and protection of personal information. Accordingly, based on data collection and analysis through literature research, this study derived the issues and suitable standards of personal information for major artificial intelligence services. In addition, this cases studies were reviewed, focusing on the legal compliance and porcessing compliance for personal information proection in major countries. And it suggested the improvement plan applied in South Korea. As the results, in legal compliance, it is required reorganization of related laws, responsibility and compliance to develop and provide AI, and operation of risk management for personal information protection laws in AI services. In terms of processing compliance, first, in pre-processing and refining, it is necessary to standardize data set reference models, control data set quality, and voluntarily label AI applications. Second, in development and utilization of algorithm, it is need to establish and apply a clear regulation of the algorithm. As such, South Korea should apply suitable improvement tasks for personal information protection of safe AI service.

• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.109-119
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• 2020

The FPGAs are semiconductors that can be redesigned after initial fabrication. It is used in various embedded systems such as signal processing, automotive industry, defense and military systems. However, as the complexity of hardware design increases and the design and manufacturing process globalizes, there is a growing concern about hardware trojan inserted into hardware. Many detection methods have been proposed to mitigate this threat. However, existing methods are mostly targeted at IC chips, therefore it is difficult to apply to FPGAs that have different components from IC chips, and there are few detection studies targeting FPGA chips. In this paper, we propose a method to detect hardware trojan by learning the static features of hardware trojan in LUT-level netlist of FPGA using machine learning.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2005.05b
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• pp.102-105
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• 2005

가스센서는 응용 분야와 기능 및 종류가 다양하고 최첨단 분야로서 학문적으로는 물리, 화학, 전기, 전자 및 기계 등의 배경을 필요로 하며 산업적으로는 공업 전 분야와 농림, 축산, 사무기기에서 뿐만 아니라 공해 방진용(자동차 연소제어 및 배출가스 제어, 대기오염 감시등), 민생용(조리, 환기, 공조 등), 교통 보안용(음주운전측정 및 음주운전 방지장치 등), 방재용(가스 누설 탐지기, 불완전 연소 방지, 산소 결핍, 화재 등), 의료용(호기, 마취가스의 분석 등) 매우 광범위하며 점점 더 확대되어 가고 있다. 본 연구에서는 검출 가스 종류에 따라 졸-겔법으로 감응막을 최적 설계하고, 최적으로 설계된 감응막을 디핑법으로 코팅처리한 후 최적으로 열처리하여 센서를 제작하였다. 또한, 자체 제작한 가스검출 시스템에 제작된 센서를 장착하여 센서의 가스 검출 특성을 측정하고, 측정 데이터를 이용하여 휴대용 가스 검출 시스템을 설계 제작하였다.

• Proceedings of the Korea Association of Information Systems Conference
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• 2005.12a
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• pp.97-109
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• 2005

노인 인구의 급격한 증가와 인터넷을 통한 정보획득의 보편화로 인하여 웹 접근성의 중요성이 부각되고 있다. 웹 접근성이란 "경제적, 지역적, 신체적, 사회적 한계로 인해 정보서비스를 받기 어려운 자들에 대한 정보 통신망의 자유로운 접근과 이용" 을 의미한다 정부기관이 선도하여 웹사이트를 통해 보다 편리하고 좋은 서비스를 국민에게 제공하려는 전세계적인 노력에도 불구하고 장애인이나 노인들에게는 아직도 웹사이트의 접근이 용이하지 못한 실정이다. 이는 웹 접근성의 문제를 발생시키는 근본 원인 중 하나인 웹 접근성(Web Accessibility)에 대한 개념 이해 및 현재 사용되는 웹사이트의 접근성 만족 유무를 정확하게 평가할 수 있는 평가 방법의 부재에 기인한다. 현재까지 웹 접근성 평가는 표준 평가항목인 W3C의 웹 접근성 지침(Web Contents Accessibility Guideline 1.0, 이하 WCAG 1.0)을 기반으로 만들어진 자동화 평가도구를 이용하여 대부분 이루어져 왔다. 자동차 평가도구를 이용한 웹 접근성 평가 방법은 평가가 용이하고 평가결과의 정량화로 인해 연구의 객관성을 높일 수 있다는 장점이 있다. 그러나 선행연구와 실험을 통해 자동화 평가도구의 문제점이 지적되고 있다. 예를 들어 전문가가 직접 스크린 리더를 통해 계산한 접근성 오류와 자동화 도구가 계산한 접근성 오류와는 많은 차이를 보이고 있다. 기존 연구에서는 자동화 평가도구의 문제점을 보완하기 위해 전문가가 직접 평가하는 매뉴얼 평가방식과의 병행을 제시하고 있으나, 근본적인 문제점을 해결하고 이를 개선할 수 있는 연구가 필요하다. 따라서 본 연구에서는 "한국형 웹 콘텐츠 접근성 지침(TTAS.0T-10.0003)"을 기본으로 하여 "EuroAccessibilty Consortium" 에서 고려하고 있는 "testable statement" 으로 통합 보안한 접근성 체크항목의 재구성과 함께 "자연어 처리" 알고리즘을 적용하여 자동화 평가도구의 개선 방안을 제시한다. 아직까지 제시된 개선방안의 적용 및 검증이 이루어지지 않아 한계점을 가지고 있으나 자동화 평가도구의 개선방안에 대한 제안은 향후 연구의 기초자료로 활용 가능할 것이며 많은 후속연구를 유발할 것으로 기대한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.638-640
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• 2016

Recently, Humanity enter the super-connection generation that linking human and things as a result of the development ICT technologies. IoT technology is growing rapidly as a result of IoT technology appearance and development of smart device, technology expansion, the spread of smart sensors, spread diffusion of smart devices, construction of a variety of network. These techniques are applied to those having a mobility is growing importance of network technology. Real-time service and features, such as the accuracy of the data it became important. In order to implement the IoT will need to take into account IP, security, a lot of things such as a service model, but in this paper, want to discuss mobility, for the tracking technology of routing path for efficient service delivery of the host. Therefore, in this paper, the routing path that is currently study examined the tracking technology, we try to refer to routing method of the future of the mobile host.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.23 no.8
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• pp.942-949
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• 2012

In order to ensure the safety of the large-scale public facilities, the analysis of EMC(ElectroMagnetic Compatibility) of electronic systems included in the facilities is very necessary. The reason is that the system-level EMC of the facility could be not guaranteed, even if individual equipments included in the facility are satisfied with their EMC requirements. As a result, the system-level evaluation and analysis of EMC should be carried out in order to establish the reliable operations of safety and mission-critical electronic systems. This paper analyze the relevant legal systems of domestic and other countries, and furthermore case studies of system-level EMC approaches were analyzed in the specific applications of electric railways, building, automobile, petroleum refinery systems. And the introduction of related systems in Korea is proposed, and main parts and problems to be looked at each proposed measures are discussed. The results are expected to be utilized in the introduction of the system-level EMC engineering, and contributed in national security and the protection of people's life, body and their properties.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.4
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• pp.700-707
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• 2018

Vehicles are used in daily life as convenient transport, it is important to authenticate driver because vehicles are controlled by driver. Especially, in these days, there is a discussion on introduction of Driving Under the Influence car-starting locking device installation for preventing accidents caused by Driving Under the Influence of alcohol, these car-starting locking device installation requires a lot of money and time. Suitable user authentication for solving user's inconvenience during the disabled and men of national merit to receive discount benefits is needed. In this paper, For solving these problems, we propose the efficient vehicle control and user authentication system for preventing driving under the influence and providing the disabled and men of national merit benefit based on driver authentication by using user's smartphone NFC communication and user's biometric information.

• Journal of Legislation Research
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• no.53
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• pp.149-176
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• 2017

Ein Schlagwort "die Vierte Industrielle Revolution" ist mehrdeutig und sehr unterschiedlich verstanden. Die Fragestellung, was die wesentlichen und allgemein anerkannten Elemente der "vierten industriellen Revolution", bezieht sich bisher auf neue Technologie oder Produkten wie $K{\ddot{u}}nstliche$ Intelligenz(K.I), autonomes Fahren, Internet der Dinge(IdD), 3D-Drucker usw. Unter einem historischen Gesichtspunkt bzw. der Geschichte der Industiriellen Revolution gibt es jedoch eine $Parallelit{\ddot{a}}t$ der rechtlichen Fragen, bsw. die Gefahrenabwehr, technische Kodifikation, Selbstregulierung, Internationalisierung des Technikrechts. Der Versuch, die Vierte Industrielle Revolution nur mit den neuen Technologie oder Produkten zu verstehen, kann nicht die Differenzierung zwischen jeden Stufen der industriellen Revolution konsequent $erkl{\ddot{a}}ren$. Dass die rechtliche Fragen der Vierten Industriellen Revolution angemessen behandelt, verlangt $zun{\ddot{a}}chst$ einen $Schl{\ddot{u}}sselbegriff$. Die vorliegende Arbeit setzt Digitalisierung als $Schl{\ddot{u}}sselbegriff$ voraus. Mit diesem $Schl{\ddot{u}}sselbegriff$ beleuchtet hier die Herausforderung des Verwaltungsrechts in der Zeitwende, wie die $Anpassungsf{\ddot{a}}higkeit$ und $Steuerungsf{\ddot{a}}higkeit$ des Rechts.

• Journal of the Institute of Convergence Signal Processing
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• v.19 no.4
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• pp.192-198
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• 2018

Recently, the use of drone has been increasing rapidly in many ways. A drone can capture remote objects efficiently so it is suitable for surveillance and security systems. This paper discusses three methods for detecting moving vehicles using a drone. We compare three target detection methods using a background frame, preceding frames, or moving average frames. They are subtracted from a current frame. After the frame subtraction, morphological filters are applied to increase the detection rate and reduce the false alarm rate. In addition, the false alarm region is removed based on the true size of targets. In the experiments, three moving vehicles were captured by a drone, and the detection rate and the false alarm rate were obtained by three different methods and the results are compared.

• Tunnel and Underground Space
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• v.29 no.1
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• pp.1-11
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• 2019

This study investigated use cases of machine learning technology in domestic medical, manufacturing, finance, automobile, urban sectors and those in overseas mining industry. Through a literature survey, it was found that the machine learning technology has been widely utilized for developing medical image information system, real-time monitoring and fault diagnosis system, security level of information system, autonomous vehicle and integrated city management system. Until now, the use cases have not found in the domestic mining industry, however, several overseas projects have found that introduce the machine learning technology to the mining industry for improving the productivity and safety of mineral exploration or mine development. In the future, the introduction of the machine learning technology to the mining industry is expected to spread gradually.