• Journal of Information Processing Systems
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• 제16권6호
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• pp.1459-1478
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• 2020

In the last few years, quantum communication technology and services have been developing in various advanced applications to secure the sharing of information from one device to another. It is a classical commercial medium, where several Internet of Things (IoT) devices are connected to information communication technology (ICT) and can communicate the information through quantum systems. Digital communications for future networks face various challenges, including data traffic, low latency, deployment of high-broadband, security, and privacy. Quantum communication, quantum sensors, quantum computing are the solutions to address these issues, as mentioned above. The secure transaction of data is the foremost essential needs for smart advanced applications in the future. In this paper, we proposed a quantum communication model system for future ICT and methodological flow. We show how to use blockchain in quantum computing and quantum cryptography to provide security and privacy in recent information sharing. We also discuss the latest global research trends for quantum communication technology in several countries, including the United States, Canada, the United Kingdom, Korea, and others. Finally, we discuss some open research challenges for quantum communication technology in various areas, including quantum internet and quantum computing.

• 대한조선학회논문집
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• 제59권5호
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• pp.314-322
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• 2022

During the shipbuilding process, many blocks are moved between shipyard workshops by block carrying vehicles called a transporter. Because block logistics management is one of the essential factors in enhancing productivity, it is necessary to manage block information with the transporter that moves it. Currently, because a large amount of data per day are collected from sensors attached to blocks and transporters via IoT infrastructure installed in shipyards, automated methods are needed to analyze them. Therefore, in this study, we developed an algorithm that can automatically match the transporter and the working block based on the GPS sensor data. By comparing the distance between the transporter and the blocks calculated from the Haversine formula, the block is found which is moved by the transporter. In this process, since the time of the measured data of moving objects is different, the time standard for calculating the distance must be determined. The developed algorithm was verified using actual data provided by the shipyard, and the correct result was confirmed with the distance based on the moving time of the transporter.

• Advances in aircraft and spacecraft science
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• 제9권6호
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• pp.525-536
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• 2022

The current state of telecommunications infrastructure in the Arctic does not allow providing a wide range of required services for people, businesses and other categories, which necessitates the use of non-traditional approaches to its organization. The paper proposes an innovative approach to building a combined communication network based on tethered high-altitude platform station (HAPS) located at an altitude of 1-7 km and connected via radio channels with terrestrial and satellite communication networks. Network configuration and composition of telecommunication equipment placed on HAPS and located on the terrestrial and satellite segment of the network was justified. The availability of modern equipment and the distributed structure of such an integrated network will allow, unlike existing networks (Iridium, Gonets, etc.), to organize personal mobile communications, data transmission and broadband Internet up to 100 Mbps access for mobile and fixed subscribers, rapid transmission of information from Internet of Things (IoT) sensors and unmanned aerial vehicles (UAV). A substantiation of the possibility of achieving high network capacity in various paths is presented: inter-platform radio links, subscriber radio links, HAPS feeder lines - terrestrial network gateway, HAPS radio links - satellite retransmitter (SR), etc. The economic efficiency of the proposed solution is assessed.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.524-526
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• 2021

자동차의 발명과 차량용 도로의 건설이 시작되면서 교통사고의 발생이 늘어나기 시작하였다. 이에 도로 건설 방법의 변경 및 신호등의 신호체계들을 이용하여 교통사고를 방지하기 위한 노력이 있었으나, 현재까지도 기상악화로 인한 도로의 결빙이 원인이 된 교통사고로 매년 수많은 인명과 재산피해가 발생하고 있었다. 본 논문에서는 도로의 결빙으로 인한 교통사고 경감을 위해서 차량의 센서 데이터를 이용하여 감지한 결빙감지 데이터를 차량의 내비게이션으로 전달하는 방법을 제안한다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.178-180
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• 2021

본 논문에서는 바다 환경의 변화로 인한 양식장의 피해를 막을 수 있도록 양식장의 환경 데이터를 실시간 모니터링하고 기계 학습 기반의 예측 서비스를 제공하는 시스템 설계를 다룬다. 제안 시스템은 양식장의 주요 위치에 수소 농도, 염도, 용존 산소량 그리고 수온을 측정할 수 있는 센서들로 구성되는 사물인터넷 기반의 디바이스 모듈을 설치하며, 이들로 부터 수집한 데이터는 LTE 또는 LoRa 통신 기술을 이용해 클라우드 DB로 전송한 후 웹사이트나 모바일 애플리케이션을 통해 실시간으로 양식장의 환경 데이터 모니터링을 가능하게 한다. 아울러 수집된 데이터를 활용한 기계학습 기반의 예측 기술을 적용해 양식장의 환경 변화에 미리 대비할 수 있도록 하는 기능을 가진다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 춘계학술발표대회
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• pp.273-276
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• 2023

This paper presents the integration of Digital twin and Blockchain-based Supply Chain Management (DB-SCM) in a smart warehouse to create a more efficient, secure, and transparent facility. The process involves creating a digital twin of the warehouse using sensors and IoT devices and then integrating it with a blockchain-based supply chain management system to connect all stakeholders. All data are collected and tracked in real-time as goods move through the warehouse, and smart contracts are automatically executed to ensure accountability for all parties involved. The study also highlights the critical role of effective supply chain management in modern business operations and the significance of smart warehouses, which leverage advanced technologies such as robotics, AI, and data analytics to optimize warehouse operations. Later, we discuss the importance of digital twins, which allow for creating a virtual representation of a physical object or system, and their potential to revolutionize a wide range of industries. Therefore, DB-SCM offers numerous benefits, including enhanced efficiency, improved customer satisfaction, and increased sustainability, and provides a valuable case study for organizations seeking to optimize their supply chain operations.

• 한국전기전자재료학회논문지
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• 제36권6호
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• pp.620-626
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• 2023

Energy harvesting technology, which converts wasted energy sources in everyday life into usable electric energy, is gaining attention as a solution to the challenges of charging and managing batteries for the driving of IoT sensors, which are one of the key technologies in the era of the fourth industrial revolution. Hybrid energy harvesting technology involves integrating two or more energy harvesting technologies to generate electric energy from multiple energy conversion mechanisms. In this study, a hybrid energy harvesting device called TMPPEG (thermo-magneto-piezoelectric-pyroelectric energy generator), which utilizes low-grade waste heat, was developed by incorporating PVDF polymer piezoelectric components and optimizing the system. The variations in piezoelectric output and thermoelectric output were examined based on the spacing of the clamps, and it was found that the device exhibited the highest energy output when the clamp spacing was 2 mm. The voltage and energy output characteristics of the TMPPEG were evaluated, demonstrating its potential as an efficient hybrid energy harvesting component that effectively harnesses low-grade waste heat.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.458-463
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• 2023

This study presents a paper on the implementation of a Raspberry Pi-based educational smart farm system. It confirms that in a real smart farm environment, the control of temperature, humidity, soil moisture, and light intensity can be smoothly managed. It also includes remote monitoring and control of sensor information through a web service. Additionally, information about intruders collected by the Pi camera is transmitted to the administrator. Although the cost of existing smart farms varies depending on the location, material, and type of installation, it costs 400 million won for polytunnel and 1.5 billion won for glass greenhouses when constructing 0.5ha (1,500 pyeong) on average. Nevertheless, among the problems of smart farms, there are lax locks, malfunctions to automation, and errors in smart farm sensors (power problems, etc.). We believe that this study can protect crops at low cost if it is complementarily used to improve the security and reliability of expensive smart farms. The cost of using this study is about 100,000 won, so it can be used inexpensively even when applied to the area. In addition, in the case of plant cultivators, cultivators with remote control functions are sold for more than 1 million won, so they can be used as low-cost plant cultivators.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권4호
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• pp.959-979
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• 2024

Rice pest identification is essential in modern agriculture for the health of rice crops. As global rice consumption rises, yields and quality must be maintained. Various methodologies were employed to identify pests, encompassing sensor-based technologies, deep learning, and remote sensing models. Visual inspection by professionals and farmers remains essential, but integrating technology such as satellites, IoT-based sensors, and drones enhances efficiency and accuracy. A computer vision system processes images to detect pests automatically. It gives real-time data for proactive and targeted pest management. With this motive in mind, this research provides a novel farmland fertility algorithm with a deep learning-based automated rice pest detection and classification (FFADL-ARPDC) technique. The FFADL-ARPDC approach classifies rice pests from rice plant images. Before processing, FFADL-ARPDC removes noise and enhances contrast using bilateral filtering (BF). Additionally, rice crop images are processed using the NASNetLarge deep learning architecture to extract image features. The FFA is used for hyperparameter tweaking to optimise the model performance of the NASNetLarge, which aids in enhancing classification performance. Using an Elman recurrent neural network (ERNN), the model accurately categorises 14 types of pests. The FFADL-ARPDC approach is thoroughly evaluated using a benchmark dataset available in the public repository. With an accuracy of 97.58, the FFADL-ARPDC model exceeds existing pest detection methods.

• 헤리티지:역사와 과학
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• 제54권1호
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• pp.206-219
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• 2021

기후 온난화는 흰개미에 의한 목조건축문화재 및 가옥 등에 대한 피해를 증가시키고 있다. 현재 흰개미 피해 예방을 위해 건물 주변에 군체 제거 시스템을 설치하여 탐지와 제거를 진행하는 방법이 활용되고 있다. 그러나 1~2개월 단위로 현장을 주기적으로 방문해야 흰개미 유입 여부를 확인할 수 있어 신속한 조치를 취하기 어렵다. 또한 시스템이 장기간 노출된 상태로 설치·운영되기 때문에 결실되거나 훼손되어 기능 손상이 발생하고 있으며 문화재 주변에 설치된 경우 관람 환경을 저해하기도 한다. 본 연구는 목재, 셀룰로오스, 자석, 자력센서를 사용하여 흰개미 유입 여부를 판단하는 탐지 시스템을 제작하여 실험하였다. 그리고 현장을 방문하지 않고 결과를 확인하기 위해 적은 전력으로 작동되는 LoRa Network로 데이터를 전송받았다. 목재는 말목 형태로 제작되었고, 상부에서 하부로 구멍을 내어 유입된 흰개미가 셀룰로오스 시료로 이동이 용이하도록 하였다. 셀룰로오스 시료는 자석을 셀룰로오스로 감싸 원통형으로 만들었으며 목재의 구멍 상부에 삽입하였다. 그리고 목재 말목 상부를 마개로 덮어 이물질 등이 유입되지 않도록 하였으며, 빛·빗물 등 환경적 요인을 차단하여흰개미가 셀룰로오스 시료를 가해할 수 있는 환경을 조성하였다. 셀룰로오스가 흰개미에 의해 가해되면 자석 주위에 공간이 생기고 자석이 낙하하거나 기우는 등의 움직임이 발생하였다. 마개 내에 있는 자력센서는 셀룰로오스 시료 위쪽에 고정하여 자석의 움직임에 따라 자석과 센서 사이의 간격 변화를 측정하였다. 야외 현장 실험은 목재 탐지 시스템에 셀룰로오스 시료를 11개 삽입 후, 5~17일 사이에 현장 방문 없이 자석의 움직임을 통해 흰개미 유입을 확인하였다. 향후 추가적으로 기능을 개선하여 운영한다면 현장 방문 없이 흰개미의 침입 여부를 확인할 수 있고 제품 노출로 인한 훼손과 결실을 줄이며 이에 따라 문화재에 대한 관람 환경이 개선될 것으로 기대된다.