• Title/Summary/Keyword: Library Recognition

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Detecting Adversarial Example Using Ensemble Method on Deep Neural Network (딥뉴럴네트워크에서의 적대적 샘플에 관한 앙상블 방어 연구)

  • Kwon, Hyun;Yoon, Joonhyeok;Kim, Junseob;Park, Sangjun;Kim, Yongchul
    • Convergence Security Journal
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    • v.21 no.2
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    • pp.57-66
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    • 2021
  • Deep neural networks (DNNs) provide excellent performance for image, speech, and pattern recognition. However, DNNs sometimes misrecognize certain adversarial examples. An adversarial example is a sample that adds optimized noise to the original data, which makes the DNN erroneously misclassified, although there is nothing wrong with the human eye. Therefore studies on defense against adversarial example attacks are required. In this paper, we have experimentally analyzed the success rate of detection for adversarial examples by adjusting various parameters. The performance of the ensemble defense method was analyzed using fast gradient sign method, DeepFool method, Carlini & Wanger method, which are adversarial example attack methods. Moreover, we used MNIST as experimental data and Tensorflow as a machine learning library. As an experimental method, we carried out performance analysis based on three adversarial example attack methods, threshold, number of models, and random noise. As a result, when there were 7 models and a threshold of 1, the detection rate for adversarial example is 98.3%, and the accuracy of 99.2% of the original sample is maintained.

Design of detection method for smoking based on Deep Neural Network (딥뉴럴네트워크 기반의 흡연 탐지기법 설계)

  • Lee, Sanghyun;Yoon, Hyunsoo;Kwon, Hyun
    • Convergence Security Journal
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    • v.21 no.1
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    • pp.191-200
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    • 2021
  • Artificial intelligence technology is developing in an environment where a lot of data is produced due to the development of computing technology, a cloud environment that can store data, and the spread of personal mobile phones. Among these artificial intelligence technologies, the deep neural network provides excellent performance in image recognition and image classification. There have been many studies on image detection for forest fires and fire prevention using such a deep neural network, but studies on detection of cigarette smoking were insufficient. Meanwhile, military units are establishing surveillance systems for various facilities through CCTV, and it is necessary to detect smoking near ammunition stores or non-smoking areas to prevent fires and explosions. In this paper, by reflecting experimentally optimized numerical values such as activation function and learning rate, we did the detection of smoking pictures and non-smoking pictures in two cases. As experimental data, data was constructed by crawling using pictures of smoking and non-smoking published on the Internet, and a machine learning library was used. As a result of the experiment, when the learning rate is 0.004 and the optimization algorithm Adam is used, it can be seen that the accuracy of 93% and F1-score of 94% are obtained.

Vision-based Low-cost Walking Spatial Recognition Algorithm for the Safety of Blind People (시각장애인 안전을 위한 영상 기반 저비용 보행 공간 인지 알고리즘)

  • Sunghyun Kang;Sehun Lee;Junho Ahn
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.81-89
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    • 2023
  • In modern society, blind people face difficulties in navigating common environments such as sidewalks, elevators, and crosswalks. Research has been conducted to alleviate these inconveniences for the visually impaired through the use of visual and audio aids. However, such research often encounters limitations when it comes to practical implementation due to the high cost of wearable devices, high-performance CCTV systems, and voice sensors. In this paper, we propose an artificial intelligence fusion algorithm that utilizes low-cost video sensors integrated into smartphones to help blind people safely navigate their surroundings during walking. The proposed algorithm combines motion capture and object detection algorithms to detect moving people and various obstacles encountered during walking. We employed the MediaPipe library for motion capture to model and detect surrounding pedestrians during motion. Additionally, we used object detection algorithms to model and detect various obstacles that can occur during walking on sidewalks. Through experimentation, we validated the performance of the artificial intelligence fusion algorithm, achieving accuracy of 0.92, precision of 0.91, recall of 0.99, and an F1 score of 0.95. This research can assist blind people in navigating through obstacles such as bollards, shared scooters, and vehicles encountered during walking, thereby enhancing their mobility and safety.

A study on the design of an efficient hardware and software mixed-mode image processing system for detecting patient movement (환자움직임 감지를 위한 효율적인 하드웨어 및 소프트웨어 혼성 모드 영상처리시스템설계에 관한 연구)

  • Seungmin Jung;Euisung Jung;Myeonghwan Kim
    • Journal of Internet Computing and Services
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    • v.25 no.1
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    • pp.29-37
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    • 2024
  • In this paper, we propose an efficient image processing system to detect and track the movement of specific objects such as patients. The proposed system extracts the outline area of an object from a binarized difference image by applying a thinning algorithm that enables more precise detection compared to previous algorithms and is advantageous for mixed-mode design. The binarization and thinning steps, which require a lot of computation, are designed based on RTL (Register Transfer Level) and replaced with optimized hardware blocks through logic circuit synthesis. The designed binarization and thinning block was synthesized into a logic circuit using the standard 180n CMOS library and its operation was verified through simulation. To compare software-based performance, performance analysis of binary and thinning operations was also performed by applying sample images with 640 × 360 resolution in a 32-bit FPGA embedded system environment. As a result of verification, it was confirmed that the mixed-mode design can improve the processing speed by 93.8% in the binary and thinning stages compared to the previous software-only processing speed. The proposed mixed-mode system for object recognition is expected to be able to efficiently monitor patient movements even in an edge computing environment where artificial intelligence networks are not applied.

A Study about Development of Environment Printing Technology and $CO_2$ (환경 인쇄 기술의 발전과 인쇄물의 $CO_2$ 발생량에 관한 연구)

  • Lee, Mun-Hag
    • Journal of the Korean Graphic Arts Communication Society
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    • v.30 no.3
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    • pp.89-114
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    • 2012
  • For as to world, the concern about the environment problem is enhanced than any other time in the past because of being 21 century. And the environment problem is highlighted as the world-wide issue. The time of the environment problem intimidates the alive of the mankind and presence of an earth over the time. It becomes the essentiality not being selection in the personal living or the economical viewpoint now to prepare for the climatic modification. As to the company management, the green growth period which it excludes the environment management considering an environment, cannot carry on the company the continued management comes. That is, in the change center of the management paradigm, there is the environment management. Nearly, the greenhouse gas which the publication industry is the environmental toxic material like all industries is generated. The greenhouse gas is ejected in the process of running the manufacturing process and print shop of the various kinds material used as the raw material of the book. Particularly, the tree felling for getting the material of the paper is known to reach the direct influence on the global warming. This study does according to an object it considers and organizes the environment parameter based on this kind of fact as to the publication industry. And it is determined as the reference which is used as the basic materials preparing the case that carbon exhaust right transaction(CAP and TRADE) drawing are enforced in all industries and is sustainable the management of the publication industry and reduces the environmental risk among the company many risk management elements and plans and enforces the publication related policy that there is a value. In the printing publication industry, this study tried to inquire into elements discharging the environmental pollutant or the greenhouse gas. Additionally, in the printed publication production process, it tried to inquire into the effort for an environment-friendly and necessity at the printing paper and the printers ink, regarded as the element discharging the greenhouse gas all kinds of the printing materials, operation of the print shop and all kinds of the machines and recycle process, and etc. These considerations make these industrial field employees aware of the significance about a conservation and environmental protection. They try to give a help in the subsequent study producing quantitatively each environmental parameter emission of green house gas. This makes the calculation of the relative $CO_2$ output reproached ultimately possible. Meanwhile, in a sense, many research protects and improving an environment in connection with the contents of research at the printing publication industrial field is in progress. There will be the voluntary human face that it has to protect an environment but this can not do by the outside factor according to all kinds of environment related law and regulation. Anyway, because of acting on company management as the factor of oppression, the increase of this environment-related correspondence cost could know that the research that the environment loading relates with a procurement and development, environment management system introduction, quality control standard, including, normalizing including a material, and etc. through the part of the effort to reduce the cost low was actively in progress. As to the green growth era, as follows, this paper prescribed the subject and alternative of the print publication industry. It is surrounded by the firstly new digital environment and the generation of the subject. And secondly the printing industry is caused by the point of time when the green growth leaves by the topic which is largest in the global industry and it increases. The printing publication industry has to prepare the bridgehead for the environment-friendly green growth as the alternative for this resolution with first. The support blown in each industry becomes the obligation not being selection. Prestek in which the print publishing was exposed to spend many energies and which is known as the practice of the sustainable print publishing insisted that it mentioned importance of the green printing through the white pages in 2008 and a company had to be the green growth comprised through the environment-friendly activity. The core management for the sustainable printing publication industry presented from Presstack white pages is compacted to 4 words that it is a remove, reduce, recover, and recycle. Second, positively the digital printing(POD) system should be utilized. In the worldwide print out market, the digital printing area stops at the level of 10% or so but the change over and growth of the market of an analog-to-digital will increase rapidly in the future. As to the CEO Jeff Hayes of the Infoland, the offset print referred to that it of the traditional method got old and infirm with the minor phase of the new printing application like the customer to be wanted publication and the print of the digital method led the market. In conclusion, print publishers have to grasp well the market flow in the situation where a digitalization cannot be generalized and a support cannot avoid. And it keeps pace with the flow of the digital age and the recognition about the effort for the development and environment problem have to be raised. Particularly, the active green strategy is employed for the active green strategy.

A Study on the Interior Color Characteristics for Common Spaces in Elderly Housing (한국 노인주거시설 공용공간의 실내색채 사례연구)

  • Oh, Hye-Kyung;Park, Min-Jin
    • Archives of design research
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    • v.18 no.4 s.62
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    • pp.73-84
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    • 2005
  • The purpose of this study is to analyze the interior color characteristics of elderly housing facilities in Korea. For this purpose, a filed survey was conducted between October 16 and October 25, 2003, visiting 10 elderly housing facilities. A three step analysis of the facilities was involved. First, floor, walls, ceiling, base boards and doors in common spaces were examined for the color scheme using the 'Pantone for Fashion and Home Color Guide' for each room. Measured Pantone numbers were converted to RGB color using 'Chooser 3.0 of Pantone, Inc.' Finally, the conversions were recorded as Munsell numbers. The results are as follows. First, the brightness used in elderly housing facilities ranges from high value to low value while the chroma ranges from the middle chroma to low chroma. The warm colors of Y and YR are mainly used, followed by GY and R. Second, the colors used for elderly housing facilities are found inter-related. For example, the main color in the lobby is also used for corridor and used again in dining room, library, and treatment room. Third, in terms of the color scheme, it is best help the elderly, who generally have lower recognition capability, by highlighting the distinction and attention by using the dearly distinctive accent color for the transition space, edge of the hallways or in front of the door to the units and having different color for each floor. But in most facilities except one or two, this consideration is ignored. Fourth, there is difference in color selection between elderly housing with low and high rental value. Only one facility, the most high priced one, has aggressive color arrangement, and the others show very little consideration of the elderly's needs.

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