• KIPS Transactions on Software and Data Engineering
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• v.12 no.2
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• pp.77-82
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• 2023

The Ministry of Agriculture, Food and Rural Affairs established the FarmMap, an digital map of agricultural land. In this study, using deep learning, we suggest the application of farm map reading to farmland such as paddy fields, fields, ginseng, fruit trees, facilities, and uncultivated land. The farm map is used as spatial information for planting status and drone operation by digitizing agricultural land in the real world using aerial and satellite images. A reading manual has been prepared and updated every year by demarcating the boundaries of agricultural land and reading the attributes. Human reading of agricultural land differs depending on reading ability and experience, and reading errors are difficult to verify in reality because of budget limitations. The farmmap has location information and class information of the corresponding object in the image of 5 types of farmland properties, so the suitable AI technique was tested with ResNet50, an instance segmentation model. The results of attribute reading of agricultural land using deep learning and attribute reading by humans were compared. If technology is developed by focusing on attribute reading that shows different results in the future, it is expected that it will play a big role in reducing attribute errors and improving the accuracy of digital map of agricultural land.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.5
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• pp.587-599
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• 2023

As climate change increasesthe frequency and risk of flooding in major cities around theworld, the importance ofsimulation technology that can quickly and accurately analyze high-resolution 2D flooding information in large-scale areasis emerging. The physically-based approaches based on the Shallow Water Equations (SWE) often requires huge computer resources hindering high-resolution flood prediction. This study investigated the theoretical background of Weighted Cellular Automata 2D (WCA2D), which simulates spatio-temporal changes offlooding using transition rules and weight-based system, and assessed feasibility to simulate pluvial flooding in the urbancatchment, theOncheon-cheon catchmentinBusan, SouthKorea.Inaddition,the computation performancewas compared by applying versions using OpenComputing Language (OpenCL) andOpenMulti-Processing (OpenMP) parallel computing techniques. Simulationresultsshowed that the maximuminundation depthmap by theWCA2Dmodel cansimilarly reproduce historical inundation maps. Also, it can precisely simulate spatio-temporal changes of flooding extent in the urban catchment with complex topographic characteristics. For computation efficiency, parallel computing schemes, theOpenCLandOpenMP, improved the computation by about 8~14 and 5~6 folds respectively, compared to the sequential computation.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.3
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• pp.111-118
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• 2023

Cyber attacks are increasing worldwide, and attacks on personal privacy such as CCTV and IP camera hacking are also increasing. If you search for IP camera hacking methods in spaces such as YouTube, SNS, and the dark web, you can easily get data and hacking programs are also on sale. If you use an IP camera that has vulnerabilities used by hacking programs, you easily get hacked even if you change your password regularly or use a complex password including special characters, uppercase and lowercase letters, and numbers. Although news and media have raised concerns about the security of IP cameras and suggested measures to prevent damage, hacking incidents continue to occur. In order to prevent such hacking damage, it is necessary to identify the cause of the hacking incident and take concrete measures. First, we analyzed weak account settings and web server vulnerabilities of IP cameras, which are the causes of IP camera hacking, and suggested solutions. In addition, as a specific countermeasure against hacking, it is proposed to add a function to receive a notification when an IP camera is connected and a function to save the connection history. If there is such a function, the fact of damage can be recognized immediately, and important data can be left in arresting criminals. Therefore, in this paper, we propose a method to increase the safety from hacking by using the connection notification function and logging function of the IP camera.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.2
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• pp.77-84
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• 2023

Dengue virus transmission is a viral infection disease between humans and Aedes mosquitoes. Dengue is ubiquitous throughout the tropics and subtropical zones, where 1/3 of the global population live. The weather in Korea is also changing to subtropical weather, resulting in increased vulnerable Korean population to dengue virus transmission. It is important to control and prevent the dengue risk with track-recording & monitoring system. It is also required to have the control system to treat and monitor dengue patients with various cases such as regions, ages, genders according to the track-record of the disease. In this paper, we developed a Dengue Control & Prevention System, which can monitor and control dengue outbreaks in real-time with in-vitro diagnostic devices. Dengue Control & Prevention System is composed of in-vitro diagnostic device, which is a fluorescent immunoassay, and real-time monitoring system. In the future, we expect that our Dengue Control & Prevention System can be upgraded to have various disease information from Korea Disease Control and Prevention Agency for government policies and diseases control in Korea.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.199-206
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• 2023

This study utilizes deep learning algorithms to automatically classify construction waste into three categories: wood waste, plastic waste, and concrete waste. Two models, VGG-16 and ViT (Vision Transformer), which are convolutional neural network image classification algorithms and NLP-based models that sequence images, respectively, were compared for their performance in classifying construction waste. Image data for construction waste was collected by crawling images from search engines worldwide, and 3,000 images, with 1,000 images for each category, were obtained by excluding images that were difficult to distinguish with the naked eye or that were duplicated and would interfere with the experiment. In addition, to improve the accuracy of the models, data augmentation was performed during training with a total of 30,000 images. Despite the unstructured nature of the collected image data, the experimental results showed that VGG-16 achieved an accuracy of 91.5%, and ViT achieved an accuracy of 92.7%. This seems to suggest the possibility of practical application in actual construction waste data management work. If object detection techniques or semantic segmentation techniques are utilized based on this study, more precise classification will be possible even within a single image, resulting in more accurate waste classification

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.10
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• pp.309-318
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• 2023

Recently, each country has been moving to introduce an LCA (Life Cycle Assessment) to regulate greenhouse gas emissions. The LCA is a mean of measuring and evaluating greenhouse gas emissions generated over the entire life cycle of a vehicle. Reliable data for each electric vehicle component is needed to increase the reliability of the LCA results. To this end, studies on life cycle evaluation models using blockchain technology have been conducted. However, in the existing model, key product information is exposed to other participants. And each time parts data information is updated, it must be recorded in the blockchain ledger in the form of a transaction, which is inefficient. In this paper, we proposed a DID(Decentralized Identity)-based data collection model for LCA to collect vehicle component data and verify its validity effectively. The proposed model increases the reliability of the LCA by ensuring the validity and integrity of the collected data and verifying the source of the data. The proposed model guarantees the validity and integrity of collected data. As only user authentication information is shared on the blockchain ledger, the model prevents indiscriminate exposure of data and efficiently verifies and updates the source of data.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.5
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• pp.1-14
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• 2023

Soybeans are one of the world's top five staple crops and a major source of plant-based protein. Due to their susceptibility to climate change, which can significantly impact grain production, the National Agricultural Science Institute is conducting research on crop phenotypes through growth analysis of various soybean varieties. While the process of capturing growth progression photos of soybeans is automated, the verification, recording, and analysis of growth stages are currently done manually. In this paper, we designed and trained a YOLOv5s model to detect soybean leaf objects from image data of soybean plants and a Convolution Neural Network (CNN) model to judgement the unfolding status of the detected soybean leaves. We combined these two models and implemented an algorithm that distinguishes layers based on the coordinates of detected soybean leaves. As a result, we developed a program that takes time-series data of soybeans as input and performs growth analysis. The program can accurately determine the growth stages of soybeans up to the second or third compound leaves.

• Journal of the Korean Society of Marine Environment & Safety
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• v.30 no.1
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• pp.118-126
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• 2024

In this paper, the research contents and results related to the automation of the hull-form optimal design of container ships are summarized. A container ship is a ship that generally operates near Froude number of 0.26. To implement hull-form optimal design automation for ships operating at this speed, an optimization algorithm, a hull-form change algorithm, a ship performance prediction algorithm, an automation algorithm, and an iterative calculation technique were applied to develop a numerical analysis computer program that enables hull-form optimal design automation of the container ship, and it was named HOTCONTAINER. In this study, a sensitivity analysis algorithm was developed and applied to appropriately set design variables for hull-form optimal design. To understand the reliability and real ship applicability of the developed algorithm, a numerical analysis was performed on KCS(KRISO Container Ship), a container ship that has been studied in various ways worldwide. Consequently, the optimal ship was derived, and the wave resistance, wave pattern, and wave height of the target and optimal ship were compared. In conclusion, compared the target ship, the optimal ship a 47.63% decrease in wave resistance, and the displacement and wet surface area decreased by 0.50% and 0.39%, respectively.

• Journal of Arbitration Studies
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• v.16 no.1
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• pp.343-373
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• 2006

지적재산권의 속지주의 원칙에 따라 전통적으로 지적재산권의 침해에 있어서 결과의 발생이 없는 행위지를 침해지로 인정하지 않았다. 어문과 예술작품을 보호하기 위해 1886년 체결된 베른협약(Berne Convention for the Protection of Literary and Artistic Works) 제5조 제1항은 저작자가 베른협약에 따라 보호되는 저작물에 관하여 본국 이외의 동맹국에서 각 법률이 현재 또는 장래에 자국민에게 부여하는 권리 및 이 협약이 특별히 부여하는 권리를 향유한다고 규정하여 내국민대우원칙을 천명하고 있다. 또한 베른협약 제5조 제2항은 저작권의 보호와 향유는 저작물의 본국에서 보호가 존재하는 여부와 관계가 없이, 보호의 범위와 저작자의 권리를 보호하기 위하여 주어지는 구제의 방법은 오로지 보호가 주장되는 국가의 법률의 지배를 받는다라고 규정하여 저작권 침해가 발행한 국가의 법률의 적용을 명시하고 있다. 인터넷과 무선통신 기술의 발달은 저작물을 디지탈 형식으로 실시간에 전세계에 배포하는 것을 가능하게 하였다. 특히 저작물의 인터넷상에서의 배포는 다국적 저작권 침해행위를 야기하여, 저작권자가 다수의 국가에서 저작권 침해소송을 제기하여 판결을 집행하는 것이 필요하게 되었다. 헤이그국제사법회의(Hague Conference on Private International Law)에서 1992년부터 논의되어 온 민사 및 상사사건의 국제재판관할과 외국판결에 관한 협약(Convention on Jurisdiction and Foreign Judgment in Civil and Commercial Matters)에서 채택된1999년의 예비초안(preliminary draft) 및 2001년 외교회의에서 수정된 잠정초안(Interim text) (이하 헤이그 협약 )은 저작권자가 저작권침해행위가 발생한 각 국가에서 저작권 침해행위를 금지하는 소송을 제기할 필요없이, 동 협약의 한 가맹국가의 법원의 저작권침해금지판결을 다른 가맹국가에서도 집행할 수 있는 가능성을 제시해 주는데 의미가 있다. 헤이그 협약 제10조는 불법행위(torts)에 관한 일반적인 재판관할에 관한 규정을 두고 있으며, 저작권침해에 관한 분쟁은 동 조항의 적용을 받는다. 제10조에 의해 당사자는 가해행위지 국가의 법원 또는 결과발생지 국가의 법원에서 소송을 제기할 수 있다. 결과발생지의 경우 제10조 1항 (b)는 피고가 자신의 행위가 본국의 법규에 비추어 동일한 성격의 손해를 초래할 수 있다라고 합리적으로 예견할 수 없었던 경우에 본 조항의 적용을 배제하고 있다. 인터넷을 통한 저작권침해의 경우, 피고가 자신의 국가의 법규하에서 합법적으로 저작물을 웹사이트에 게시하였으나, 그 행위가 다운로딩이 행해진 국가에서 불법인 경우, 피고는 저작권침해를 예견할 수 없었으므로 이에 문제가 제기된다. iCrave TV사건에서, 피고인 캐나다회사가 미국 및 캐나다에서 방송되는 텔레비젼 방송 프로그램을 자신의 웹사이트에 게시하여 이용자들로 하여금 컴퓨터를 통하여 방송을 재시청 할 수 있도록 하였는데 이는 캐나다에서 합법인 반면에 미국에서는 저작권 침해에 해당한다. 피고는 방송 프로그램을 인터넷상에서 재방송하는 것은 캐나다법상 합법이므로 저작권침해를 예견할 수 없었다고 주장하면서, 해당 사이트에 오직 캐나다 거주자만의 접속을 허용하고 미국 거주자의 접속을 제한하는 일련의 Click-Wrap 계약과 스크린 장치를 제공하였다고 주장하였다. 본 사건 피고의 주장을 받아들인다고 가정할 때, 제10조 1항(b)에 의해 원고는 결과발생지인 미국법원의 재판관할을 강제할 수 없을 것이다. 지적재산권을 둘러싼 분쟁에 관한 재판관할과 국제법상의 판결의 승인 및 집행의 통일성을 기하기 위하여 2001년 1월 세계지적재산권기구(World Intellectual Property Organization)가 제안한 WIPO 협약초안(Draft Convention on Jurisdiction and Recognition of Judgments in Intellectual Property Matters)은 헤이그 협약이 재판관할과 판결의 승인 및 집행에 대한 일반적인 접근을 하고 있는 점에 반하여 지적재산권자의 보호라는 측면을 고려하여 지적재산권침해소송에 국제재판관할권을 규정하고 있다. WIPO 협약초안 제6조는 저작권자가 저작권 침해를 막기 위한 합리적인 조치를 취한 국가에서 저작권 침해소송을 피할 수 있다고 규정하고 있다. 따라서 본 조항에 의할 경우, iCrave TV사건의 피고는 미국에서의 저작권 침해소송을 회피할 수 있을 것이다. 이상과 같이 헤이그 협약이 외국판결의 승인 및 집행을 가능하게 하고 있음에도 불구하고, 외국법원의 판결이 다수의 가맹국가에서 집행되지 못하는 가장 큰 장애는 대다수의 국가들이 외국법원의 판결이 공서양속(Public Policy)에 반하는 경우 판결을 승인하지 않는 예외규정을 두고 있기 때문이다. 미국의 경우, Uniform Recognition Act와 Restatement(Third) of Foreign Relations에 따른 공서양속의 예외규정(Public Policy exception)은 외국법원의 판결의 승인을 부인하는 근거가 된다. Yahoo! 사건에서 Yahoo! Inc.의 옥션 사이트를 통해 독일 나치 소장물의 판매가 이루어졌는데, 프랑스 형법상 이는 범죄행위에 해당하므로, 프랑스 법원은Yahoo! Inc.에게 프랑스 이용자가 당해 옥션 사이트에 접속할 수 없도록 모든 가능한 조치를 취할 것을 명하였다. 이에 미국 법원은 프랑스 법원의 판결은 Yahoo! Inc.의 미국헌법 제1 수정(First Amendment)의 언론의 자유(freedom of speech)에 반하므로 판결의 집행을 거부하였는데 이는 공서양속의 예외규정을 보여주는 예이다. 헤이그 협약 제28조와 WIPO 협약초안 제25조 또한 공서양속의 예외규정을 두고 있다. 본 논문은 인터넷과 통신기술의 발달로 야기되는 다국적 저작권 침해사건에서 한 국가의 법원의 저작권 침해금지판결이 다수의 국가에서 승인 및 집행될 수 있는 능성을 헤이그 협약과 WIPO 협약초안 및 미국판결을 중심으로 살펴보았다. 국제적으로 통일된 저작권법이 존재하지 않고 외국 판결의 승인을 부인하는 예외조항과 외국판결의 집행에 관한 각국의 이해관계와 준거법의 해석이 다른 현시점에서 지적재산권의 속지주의를 뛰어넘어 외국법원의 판결을 국제적으로 집행하는 것은 다소 어려움이 있어 보이나 국제적인 집행가능성의 열쇠를 제시하는 헤이그 협약과 장래의 국제조약에 그 기대를 걸어볼 수 있겠다.

• Conservation Science in Museum
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• v.27
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• pp.147-164
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• 2022

Over 200,000 Korean cultural heritage items are currently located abroad. They have made their way to 22 countries under different circumstances and with unique backgrounds. While some of them continue to contribute to promoting Korean culture around the world, others cannot be exhibited due to damage or poor condition. In view of these circumstances, the Overseas Korean Cultural Heritage Foundation (OKCHF) has since 2013 provided museums and art galleries abroad with support for the conservation, restoration, and utilization of the Korean cultural heritage items that they house. As a part of these efforts and on the occasion of the 120th anniversary of the diplomatic relationship between the Republic of Korea and the Kingdom of Belgium in 2021, a gilt-bronze case for acupuncture needles dating to the Goryeo period (918-1392) from the collection of the Royal Museums of Art and History (RMAH), Belgium was brought to Korea for conservation treatment. The primary purpose of this conservation treatment was to restore the original form of the relic and slow to the degree possible the progress of corrosion. The conservation treatment of the gilt-bronze case followed the fundamental order of conservation treatment: removal of corrosive substances, stabilization, and reinforcement. Since this was the first case of restoring metallic cultural properties under the abovementioned support program by the OKCHF, special methodologies distinct from those available in overseas institutions were required. Diverse scientific methods (e.g., X-ray inspection, CT scanning, 3D microscopy) were applied to identify the metalcraft techniques used in the Goryeo period. The analysis found that several designs, including lotus and scrollwork, were exquisitely engraved on the surface of the case by making dots using a round-edged chisel. A bronze plate engraved with designs was rolled into a cylindrical form. The ends were overlapped by 2 to 3 centimeters and then attached to each other by silver soldering. The overlapping ends were welded flat with nearly no gaps. As the final process in the production, the case was lavishly gilt with gold powder using amalgam gilding. The conservation treatment of the gilt-bronze case for acupunctural needles in the RMAH collection restored the original form of the relic and arrested further corrosion. Above all, it revived the historic and academic value of the overseas Korean cultural heritage through scientific analysis.