• Food Science and Industry
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• v.54 no.3
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• pp.124-131
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• 2021

In the 4th industrial revolution, Artificial Intelligence (AI), big data, Internet of Things (IoT) are already around us, making our society hyper-connected and blurring the lines between the digital and biological spheres. We witness drastic changes not only in the food industry, but also in economy, society and our life as a whole. Technologies bring industrial reorganization and greater changes at the system level and the food industry is not exceptional. Human demand for foods continues to grow and the very nature of the food industry remains unchanged, but its production, distribution and marketing face unprecedent innovations. Passing through the global pandemic, the food industry has been evolved into 'contact-free', as the safety become our top priority. Amid the gradual shift to technology-oriented society, the smarter food safety management skills and tools are being adopted in many countries exerting greater efforts to enhance traceability and to upgrade AI-powered safety management system.

• Proceedings of the KAIS Fall Conference
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• 2011.05a
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• pp.49-52
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• 2011

인터넷 환경의 급속한 변화로 인해 다양한 Web 서비스들이 개발되었고, 사용자는 다수의 ID와 Password를 생성하고 관리해야하는 문제점이 발생하게 되었다. 이러한 문제점을 보완하고자 사용자 중심의 ID 관리 기술이 개발되어 졌고 그 중 OpenID 방식은 간단하면서도 가벼운 ID관리 방식으로 점차 활성화 되고 있는 추세이다. 그러나 보안적인 측면에서 피싱, 스팸 등 다양한 취약점을 노출하였다. 본 논문에서는 이러한 문제점을 해결하고자 기존 OpenID 시스템에 스마트폰과 QR코드를 적용하여 보다 안전한 사용자 인증 시스템을 제안한다.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.289-305
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• 2021

Purpose: The purpose of this study is to check the importance of higher level, sub higher level and lower alternative factor and the factor for relieved life and also check the comprehensive priority in executed "Safety and relieved life level improvement of apartment house residents by AHP analysis". Method: The safety management evaluation elements and alternatives have been arranged as hierarchical structure based on the preceding studies and the advice of experts for the maintenance and system of apartment house in this study. Study model is used for the survey of pair wise comparison composition targeting experts and AHP analysis method is used for alternative plan ranking, etc. Result: The response result of survey secured the consistency and it is confirmed that safety inspection for apartment house electricity facility is most important for higher level, safety inspection, detailed inspection and diagnosis evaluation are most important for sub higher level and plumbing equipments is most important for alternatives based on the analysis result of relative weight comparison for sub higher level and alternatives for final goal attainment of the study. Conclusion: Plumbing equipments, crime prevention safety and electrical safety are shown as top priority alternatives when observe it with expert manager's point of view for apartment house. It shows that securing the importance of living safety accident and deciding the level of relieved life can be improved are the alternatives of pre-prevention and management strengthening.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.118-127
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• 2021

In spite of various safety measures, coastal safety accidents continue to occur, so this study focused on using drones as countermeasures. Municipalities that already have coasts have begun operating unmanned multicopters for coastal safety management. In particular, by connecting an unmanned multi-copter to the currently applied smart city safety net system, it is possible to transmit real-time images of the scene in case of emergency in the coastal area to the local government safety information center. It is also expected to contribute significantly to strengthening safety management in coastal waters through a more rapid response to safety accidents. Therefore, in this paper, we propose the use of drones as an alternative to the limitations of the domestic coastal safety system by investigating the state of coastal safety accidents and analyzing the state of domestic coastal safety systems. In addition, it is expected to be a key breakthrough in the coastal area safety system by proposing a model linking the Korean K-Drone system.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.705-717
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• 2020

Cities in the world are rushing to develop smart cities to create a sustainable and happy city by solving many problems in cities using information and communication technologies such as big data and IoT. However, in Korea's smart cities and smart city certification systems, the focus is on platform-oriented hardware infrastructure, and the information security aspect is first considered to build and authenticate. It is a situation in which a response system for the risk of leakage of big data containing personal information is needed through policy research on the aspect of personal information protection for smart city operation. This paper analyzes the types of personal information in smart cities, problems associated with the construction and operation of smart cities, and the limitations of the current smart city law and personal information protection management system. As a solution, I would like to present a model of a personal information protection management system in the smart city field and propose a plan to strengthen personal information protection through this. Since the management system model of this paper is applied and operated in the national smart city pilot cities, demonstration cities, and CCTV integrated control centers, it is expected that citizens' personal information can be safely managed.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.5
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• pp.41-54
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• 2023

Smart grid that supports efficient energy production and management is used in various fields and industries. However, because of the environment in which services are provided through open networks, it is essential to resolve trust issues regarding security vulnerabilities and privacy preservation. In particular, the identification information of smart meter is managed by a centralized server, which makes it vulnerable to security attacks such as device stolen, data forgery, alteration, and deletion. To solve these problems, this paper proposes a blockchain based authentication protocol for a smart meter. The proposed scheme issues an unique decentralized identifiers (DIDs) for individual smart meter through blockchain and utilizes a random values based on physical unclonable function (PUF) to strengthen the integrity and reliability of data. In addition, we analyze the security of the proposed scheme using informal security analysis and AVISPA simulation, and show the efficiency of the proposed scheme by comparing with related work.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.87-90
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• 2011

Smart Grid는 전기 공급자와 수요자를 이어주는 전기 네트워크를 설치하여, 전기기기와 IT기술이 융합된 형태로 사용자내에서 Bluetooth, Zigbee를 이용한 전기기기를 통제하는 효율적인 에너지 네트워크의 일종이다. 하지만 Bluetooth, Zigbee는 인증과 키관리 문제가 있어 보안의 문제가 일어날 수 있다. 본 논문에서는 스마트 그리드에서 사용될 전기IT기기를 응용하여 제어하는 Bluetooth, Zigbee의 인증과 키관리, 키 생성 프로토콜을 통한 보안성 문제를 연구한다. 또한 Bluetooth, Zigbee에 대한 키 생성 프로토콜을 연구한다. 본 연구는 Smart Grid 시스템의 보안성과 안전성을 강화하여 Smart Grid 기술 발전에 기여할 것이다.

• Journal of IKEEE
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• v.23 no.4
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• pp.1343-1352
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• 2019

To manage the Internet of Things(IoT) Network, which consists of a large number of various devices, a secure and automatic method of strengthening the IoT network is being proposed. Blockchain has a 'smart contract' element of autonomous execution method, which is emerging as a way to not only exchange data quickly without mediators but also securely and automatically manage processes between IoT devices. In this paper, we implement a prototype of the entire IoT device management system based on the EOSIO with DPoS(Distributed Proof of Stake)-based blockchain structure, proposed as a prior study, including the user application DApp(Decentralized Application) and the actual IoT devices (Raspberry Pi-based device, and smart lamp) that interact with the blockchain platform. We analyze the benefits of the system and measure the time overhead to show the feasibility of the system.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.51-53
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• 2019

연안 해역을 운항하는 예부선의 위험요소 중 예인선과 부선을 연결하는 예인줄을 타 선박이 인식하지 못하여 발생하는 해양사고를 분석하고 사물인터넷(IoT) 활용을 통한 예부선의 예인줄 시인성 강화로 해양사고 예방을 모색.

• Tunnel and Underground Space
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• v.34 no.3
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• pp.208-217
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• 2024

There is so much research effort for developing and implementing deep learning-based surveillance systems to manage health and safety issues in construction sites. Especially, the development of deep learning-based object detection in various environmental changes has been progressing because those affect decreasing searching performance of the model. Among the various environmental variables, the accuracy of the object detection model is significantly dropped under low illuminance, and consistent object detection accuracy cannot be secured even the model is trained using low-light images. Accordingly, there is a need of low-light enhancement to keep the performance under low illuminance. Therefore, this paper conducts a comparative study of various deep learning-based low-light image enhancement models (GLADNet, KinD, LLFlow, Zero-DCE) using the acquired construction site image data. The low-light enhanced image was visually verified, and it was quantitatively analyzed by adopting image quality evaluation metrics such as PSNR, SSIM, Delta-E. As a result of the experiment, the low-light image enhancement performance of GLADNet showed excellent results in quantitative and qualitative evaluation, and it was analyzed to be suitable as a low-light image enhancement model. If the low-light image enhancement technique is applied as an image preprocessing to the deep learning-based object detection model in the future, it is expected to secure consistent object detection performance in a low-light environment.