• Journal of Internet of Things and Convergence
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• v.2 no.3
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• pp.43-51
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• 2016

In this paper, we have developed Crypft+ as an enhanced file encryption/decryption system to improve the security of IoT system or individual document file management process. The Crypft+ system was developed as a core security module using Python, and designed and implemented a user interface using PyQt. We also implemented encryption and decryption function of important files stored in the computer system using AES based symmetric key encryption algorithm and SHA-512 based hash algorithm. In addition, Cx-Freezes module is used to convert the program as an exe-based executable code. Additionally, the manual for understanding the Cryptft+ SW is included in the internal program so that it can be downloaded directly.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.665-667
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• 2023

본 논문에서는 효율적인 쇼핑 경험을 제공하기 위해 숏카트라는 자동화된 쇼핑 카트 시스템을 제안한다. 숏카트는 사용자의 편의성을 높이기 위해 자동화 기술을 활용하며, 사용자가 상품을 선택하면 카메라를 통해 바코드를 인식하고, Python을 활용하여 바코드값을 읽어온다. 읽어온 바코드 값을 데이터베이스의 바코드 값들과 비교하여 동일한 값을 가진 상품을 사용자의 장바구니에 자동으로 추가한다. 이를 통해 사용자는 편리하게 상품을 선택하고, 계산 과정을 자동화하여 시간을 절약할 수 있다. 또한, GUI 프로그램을 PyQT로 개발하여 사용자에게 시각적으로 장바구니 내용을 표시해 준다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.29-32
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• 2021

현재 코로나 사태로 인해 많은 학교에서 온라인으로 수업이 진행되고 있지만 대면강의에 비해 온라인수업은 진행자와 수강자의 상호작용이 원활하지 않아 집중도가 떨어지는 문제가 있다. 따라서 본 논문에서는 진행자가 전체 수강자의 집중도를 파악하고 전체적인 집중도가 낮아졌을 때 진행자에게 메시지를 전송하여 적절한 주의/환기 등을 줌으로써 온라인수업의 집중도를 향상시킬 수 있는 온라인 수업집중도 분석시스템을 제안한다. 본 시스템을 활용하여 수강자의 집중도 향상 뿐만 아니라 수업의 진행 방향을 조절할 수 있으며 상호작용을 가능하게 하여 수업의 질을 향상시킬 수 있다. 본 논문의 시스템은 dlib 의 안면 검출기와 OpenCV 및 PyQt5 의 QtDesigner 를 사용하여 프로토타입을 구현하였다.

• Journal of Aerospace System Engineering
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• v.16 no.5
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• pp.70-77
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• 2022

This paper proposes database generation and management system for small-pixelized airborne target recognition. The proposed system has five main features: 1) image extraction from in-flight test video frames, 2) automatic image archiving, 3) image data labeling and Meta data annotation, 4) virtual image data generation based on color channel convert conversion and seamless cloning and 5) HOG/LBP-based tiny-pixelized target augmented image data. The proposed framework is Python-based PyQt5 and has an interface that includes OpenCV. Using video files collected from flight tests, an image dataset for airborne target recognition on generates by using the proposed system and system input.

• Nuclear Engineering and Technology
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• v.55 no.10
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• pp.3854-3859
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• 2023

Background: This study aims to develop an evaluator that can quickly and accurately evaluate the shielding of low-energy industrial radiation generators. Methods: We used PyQt to develop a graphical user interface (GUI)-based program and employed the calculation methodology reported in the National Council on Radiation Protection and Measurements (NCRP)-49 for shielding calculations. We gathered the necessary factors for shielding evaluation using two libraries designed for Python, pandas and NumPy, and processed them into a database. We verified the effectiveness of the proposed program by comparing the results with those from safety reports of six domestic facilities. Results: After verifying the effectiveness of the program using the NCRP-49 example, we obtained an average error rate of 1.73%. When comparing the facility safety report and results obtained using the program, we found that the error rate was between 1.09% and 6.51%. However, facilities that did not use a defined shielding methodology were underestimated by 31.82% compared with the program (the final barrier thickness satisfied the shielding standard). Conclusion: The developed program provides a fast and accurate shielding evaluation that can assist personnel that work in radiation generator facilities and government officials in reviewing safety.