• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.855-867
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• 2022

As the need for a deep learning accelerator increases with the development of IoT equipment, research on the implementation and safety verification of the deep learning accelerator is actively. In this paper, we propose a new side channel analysis methodology for secret information that overcomes the limitations of the previous study in Usenix 2019. We overcome the disadvantage of limiting the range of weights and restoring only a portion of the weights in the previous work, and restore the IEEE754 32bit single-precision with 99% accuracy with a new method using CPA. In addition, it overcomes the limitations of existing studies that can reverse activation functions only for specific inputs. Using deep learning, we reverse activation functions with 99% accuracy without conditions for input values with a new method. This paper not only overcomes the limitations of previous studies, but also proves that the proposed new methodology is effective.

• Journal of Advanced Navigation Technology
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• v.27 no.1
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• pp.146-153
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• 2023

In accordance with the industrial convergence regulation sandbox decision promoted by the Ministry of Trade, Industry and Energy, the "machine tool sharing service in the factory" applied for by MyMaker Co., Ltd., an industry-academia cooperation company, was granted a demonstration exception. While implementing this, in a situation where the ordering service part had to be developed as software, the company's domain problems were identified and analyzed, procedures were established, and a system was designed that met the related requirements. As a joint research and development project to solve the difficulties of the LINC+ industry, the order-to-order system was finally developed for shared factory services. In accordance with the procedure and requirements analysis, the planning, design, prototyping, and implementation production stages were carried out. Finally, it was confirmed that the final development contents were well implemented according to the requirements, and the resolution of the difficulties was confirmed through functional verification demonstrations.

• Journal of Advanced Navigation Technology
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• v.27 no.1
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• pp.102-110
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• 2023

The MATS(Missile Assembly Test Set) is manufactured and used to check the function of the missile during the period of development for the guided missile system, and the requirements for power and communication are managed for equipment production. The MATS developer implements software according to the proposed communication standard to guarantee the reliability of the data that communicates with the guided missile. The test bed is built and self-performance evaluation is performed after implementation. And the verification process is performed using the standard equipment. The characteristics of periodic delay for data transmission must be reflected when building a test bed. This paper describes a test bed construction method for data processing with periodic delay. Also This paper compares and evaluates the performance by changing the previously designed algorithm.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.315-315
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• 2023

급격한 기후변화에 기인하여 전 세계적으로 거듭되는 돌발홍수로 인한 피해가 급격히 증가하고 있는 실정이다. 우리나라에서도 최근 중소 규모의 하천 뿐 아니라 도시 생활하천, 도심지 저지대에서 갑작스런 홍수와 침수로 인해 많은 인명과 재산 피해를 경험하고 있다. 이런 문제를 인식하여 최근 정부차원에서 다양한 센서와 인공지능에 기반하는 많은 인프라 및 연구 투자가 이루어지고 있지만, 높은 설치 및 운영 비용과 우리나라의 복잡한 하천 환경 특성으로 인해 소하천이나 도심지 저지대에서는 그 효율성을 제대로 발휘하지 못하고 있다. 따라서 본 논문에서는 주변환경의 변화에 강인한 복합 센서단말을 통해, 하천 정보(유량, 유속, 수위 등)을 실시간 측정하고, 해당지역의 특성을 고려한 하천 또는 저지대의 위험도를 스스로 판단할 수 있는 기술을 제안한다. 또한, 본 논문에서는 제안한 저비용 초소형의 단말 장치로 지점의 하천 정보를 실시간 측정하여 IoT망을 통해 3차원 하천 디지털트윈 모델로 전달하여, 유속과 수위를 그대로 재연함으로써, 하천 침수 위험 감시의 효율성을 검증하였다. 3차원 DEM(Digital Elevation Models) 데이터와 실제 하천을 관측한 데이터를 이용한 디지털트윈 검증 결과, 데이터 전송 지연시간을 감안하여 3초 이내에 하천의 수위와 유속이 3차원 모델에 반영되는 것을 확인하였다. 이 결과로부터 열악한 환경에서도 실시간 하천 상황을 원거리에서 모니터링 할 수 있으며, 강우와 유출에 따른 하천 홍수 메카니즘을 새롭게 시뮬레이션할 수 있는 방법론을 제시할 수 있을 것으로 기대한다.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.2
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• pp.7-17
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• 2017

In this paper, we propose the TPS (TPM-enhanced Privacy Protection System) which is an automated privacy protection system enhanced with a TPM (Trusted Platform Module). The TPS detects documents including personal information by periodic scanning the disk of clients at regular intervals and encrypts them. Hence, system manages the encrypted documents in the server. In particular, the security of TPS was greatly enhanced by limiting the access of documents including the personal information with regard to the client in an abnormal state through the TPM-based platform verification mechanism of the client system. In addition, we proposed and implemented a VTF (Virtual Trusted File) interface to provide users with the almost identical user interface as general document access even though documents containing personal information are encrypted and stored on the remote server. Consequently, the TPS automates the compliance of the personal information protection acts without additional users' interventions.

• Human Ecology Research
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• v.61 no.3
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• pp.349-360
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• 2023

This study aimed to develop, and evaluate the effectiveness of, a home economics dietary education program that could be used to improve high school students' sustainable dietary competencies. To achieve this goal, learning objectives and elements were selected for the education program to improve the students' sustainable dietary competency. The content validity of this program was verified with numerous experts. After implementing the new educational program, its effect on high school students' sustainable dietary competencies was assessed through pre- and post-tests. The results of this study are summarized as follows. First, through the textbook analysis, the necessity of developing an educational program that can cultivate the three areas that constitute a sustainable diet (environment, health, and consideration) was confirmed. Second, a total of nine teaching and learning plans for sustainable dietary education programs were developed. From there, content validity verification was conducted by experts, indicating that the developed educational program was highly applicable in the field. Third, after the implementation, a survey was conducted based on a questionnaire consisting of 20 items related to three areas of sustainable diet, while the pre- and post-test assessment indicated statistically significant differences in all three areas: environment (pre: 3.40, post: 4.46, p<.001), health (pre: 3.15, post: 4.32, p<.001), and consideration (pre: 3.46, post: 4.48, p<.001). It is expected that the educational program developed in this study will be used as a basis for dietary education that fosters food citizenship in high school home economics courses.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.5
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• pp.43-52
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• 2023

Traffic accidents among children have been decreasing after the installation of yellow carpets. However, the explanatory power of the causal relationship between yellow carpet installation and traffic accidents is still insufficient. The yellow carpet effect was analyzed in greater depth using virtual reality (VR) simulation experiments in various situation that could not be evaluated in existing actual vehicle research studies due to difficulties or risks in implementation. A target site where an actual yellow carpet was installed was selected and, implemented into a virtual environment. Subjects were made to, were gaze measurement equipment and ride the simulator. The visual/driving behavior before and after yellow carpet installation was compared, and a t-test analysis was performed for statistical verification. All the results were found to be statistically significant.

• Smart Media Journal
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• v.12 no.9
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• pp.103-115
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• 2023

A Korean Tea-Historical Literature DB was constructed, collating information related to tea from eight historical texts, including the Annals of the Joseon Dynasty. Data were gathered from existing historical literature DB and web services. After processing, verification, and tag input, 53,679 historical literature data entries related to tea were created. This DB construction centralizes previously dispersed reading services into a single web service. Features such as literature title, time, and tag-based search functionality; assignment of attribute tags to data; search linkage through original source links; and a bookmark function were incorporated to enhance user convenience. The outcomes of this research support studies in the related fields, and it is believed that by accumulating and improving accessibility to tea-related literature, contributions can be made to the preservation and education of Korean traditional tea as a food resource and cultural heritage.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.927-934
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• 2023

With the recent growth of the companion animal market, various social issues related to companion animals have also come to the forefront. Notable problems include incidents of dog bites, the challenge of managing abandoned companion animals, euthanasia, animal abuse, and more. As potential solutions, a variety of training programs such as companion animal-focused broadcasts and educational apps are being offered. However, these options might not be very effective for novice caretakers who are uncertain about what to prioritize in training. While training apps that are relatively easy to access have been widely distributed, apps that allow users to directly engage in training and learn through hands-on experience are still insufficient. In this paper, we propose a more efficient AR-based mobile app for companion animal training, utilizing the Unity engine. The results of usability evaluations indicated increased user engagement due to the inclusion of elements that were previously absent. Moreover, training immersion was enhanced, leading to improved learning outcomes. With further development and subsequent verification and production, we anticipate that this app could become an effective training tool for novice caretakers planning to adopt companion animals, as well as for experienced caretakers.

• Journal of Internet of Things and Convergence
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• v.10 no.2
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• pp.25-41
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• 2024

For the scenario of open pit mining, at present, manual periodic verification is mainly carried out in China with the help of video surveillance, which requires continuous investment in labor cost and has poor timeliness. In order to solve this difficult problem of early warning and monitoring, this paper researches a spatialized algorithmic model and designs an early warning system for open-pit mine transboundary mining, which is realized by calculating the coordinate information of the mining and extracting equipments and comparing it with the layer coordinates of the approval range of the mines in real time, so as to realize the determination of the transboundary mining behavior of the mines. By taking the Pingxiang area of Jiangxi Province as the research object, after the field experiment, it shows that the system runs stably and reliably, and verifies that the target tracking accuracy of the system is high, which can effectively improve the early warning capability of the open-pit mines' overstepping the boundary, improve the timeliness and accuracy of mine supervision, and reduce the supervision cost.