• Journal of the Institute of Convergence Signal Processing
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• v.6 no.1
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• pp.8-14
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• 2005

The implementation of vision system using CCD camera which measures the earing rate of aluminium CAN is represented in this paper. In order to optimize the input image, the object of the input image is separated and the position of the image is calibrated. In the preprocessing, the definition of image is improved by the histogram equalization, and then the edges of the input image are detected by the Robert mask. The heights of the four ears and angles of the aluminium CAN are measured manually with the digital vernier calipers in industry. It takes 30 seconds to measure manually the height of one direction of the aluminium CAN at least three times. However, when the proposed system in this paper is applied, it takes 0.02 seconds only. In conclusion, the efficiency of the proposed system is higher than that of the system used in the industry.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.12
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• pp.1596-1603
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• 2018

Rapidly detecting and warning of fires is necessary for minimizing human injury and property damage. Generally, when fires occur, both the smoke and the flames are generated, so fire detection systems need to detect both the smoke and the flames. However, most fire detection systems only detect flames or smoke and have the disadvantage of slower processing speed due to additional preprocessing task. In this paper, we implemented a fire detection system which predicts the flames and the smoke at the same time by constructing a CNN model that supports multi-labeled classification. Also, the system can monitor the fire status in real time by using Grad-CAM which visualizes the position of classes based on the characteristics of CNN. Also, we tested our proposed system with 13 fire videos and got an average accuracy of 98.73% and 95.77% respectively for the flames and the smoke.

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.275-301
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• 2021

The purpose of the research is to find out both what information tweens (12~14 years old adolescents) need and how they use YouTube to satisfy with their information needs. In order to achieve the goal, the research collected the data by conducting a survey on tweens (N=130) and analyzed the data with statistical processes. The research found out some significant results: first, tweens frequently use the informaton on YouTube and search for leisure information most often. Second, tweens search for information on YouTube because of ease and convenience on learning information even though they do not trust the information on YouTube. Third, tweens regard that YouTube play the role as a significant information source and searching tool, and use information on YouTube because the information on YouTube are composed of easy-to-understand video format. On the basis of the results, the research suggests and discusses how information organization such as public or school libraries provide information services for youth groups effectively.

• Journal of Aerospace System Engineering
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• v.17 no.2
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• pp.38-44
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• 2023

This study aims to determine how agricultural drones are operated for flight tests using a 5G communication in order to carry out a mission such as sensing agricultural crop healthy status with special cameras. Drones were installed with a multi-spectral and IR camera to capture images of crop status in separate altitudes with different speeds. A multi-spectral camera can capture crop image data using five different particular wavelengths with a built-in GPS so that captured images with synchronized time could provide better accuracy of position and altitude during the flight time. Captured thermal videos are then sent to a ground server to be analyzed via 5G communication. Thus, combining two cameras can result in better visualization of vegetation areas. The flight test verified how agricultural drones equipped with special cameras could collect image data in vegetation areas.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.4
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• pp.1-9
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• 2023

In this paper, we propose a method to recognize the braille blocks for embedded devices in real time through deep learning. First, a deep learning model for braille block recognition is trained on a high-performance computer, and the learning model is applied to a lightweight tool to apply to an embedded device. To recognize the walking information of the braille block, an algorithm is used to determine the path using the distance from the braille block in the image. After detecting braille blocks, bollards, and crosswalks through the YOLOv8 model in the video captured by the embedded device, the walking information is recognized through the braille block path discrimination algorithm. We apply the model lightweight tool to YOLOv8 to detect braille blocks in real time. The precision of YOLOv8 model weights is lowered from the existing 32 bits to 8 bits, and the model is optimized by applying the TensorRT optimization engine. As the result of comparing the lightweight model through the proposed method with the existing model, the path recognition accuracy is 99.05%, which is almost the same as the existing model, but the recognition speed is reduced by 59% compared to the existing model, processing about 15 frames per second.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.2
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• pp.1-9
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• 2005

This study was performed to analyze time series landuse pattern of urban areas and the change of the areas by using remotely sensed multiple sensors. The results were as follows. First, according to the result of time series analysis, most agricultural land has been changed into built-up areas by development work such as the land development or land readjustment project, arrangement of science parks or military facilities, and location of public establishment like government buildings. Second, if the expansion of built-up areas maintains the present scale and speed, it seems that a lot of parts of land would be changed into built-up areas, especially centering around agricultural land, so it is necessary to establish the plan for urban space. Third, I have synthetically collected the data of the project of urban development and systematically monitored the process of in expansion the built-up areas up to now (from the past). I hereby could lay the foundation that makes us scientifically forecast the direction of expansion in the built-up areas by the urban development in the future.

• The KIPS Transactions:PartB
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• v.9B no.3
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• pp.337-342
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• 2002

This paper proposes a new adaptive image labeling algorithm fur object analysis of the binary images. The proposed labeling algorithm need not merge/order of complex equivalent labels like classical labeling algorithm and the processing is done during only 1 Pass. In addition, this algorithm can be extended for gray-level image easily. Experiment result with HIPR image library shows that the proposed algorithm process more than 2 times laster than compared algorithm.

• 한국정보통신설비학회:학술대회논문집
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• 2004.08a
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• pp.248-253
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• 2004

최근 다양한 네트워크 환경이 고속으로 발전하면서 VoIP와 같은 고품질의 서비스들도 빠르게 보편화 되어 가고 있다. 특히 VoIP에 관한 대표적인 국제 표준인 H.323은 가장 많이 개발되어 상용화된 프로토콜로 다양한 환경을 지원하면서도 성능이 뛰어난 것으로 인식되고 있다. 이러한 환경 속에서 서비스 되는 H.323 기반의 트래픽에 문제가 생기게 될 경우, H.323을 구성하는 프로토콜들의 문제인지 네트워크 자체의 문제인지를 제대로 분석하는 것이 매우 중요한 기술적 이슈로 대두되고 있다. 특히 정확한 원인 분석은 H.323 기반의 서비스를 제공하는 네트워크 운영자뿐만 아니라 종단간의 사용자에게도 매우 중요한 서비스 품질의 판단 기준이 되며, 향후 H.323 기반 서비스의 유지 보수에도 많은 도움이 될 것으로 기대되어 지고 있다. 본 논문에서는 다양한 네트워크 환경에서의 H.323 기반의 영상 서비스를 가정할 때 H.323 프로토콜의 주요 하위 표준들인 H.245, H.225, RTP, RTCP등의 프로토콜을 정확히 분석 할 수 있는 통합 시스템 개발을 목적으로 한다. 본 논문에서는 제안한 시스템이 실재 네트워크 환경에서 문제가 되는 H.323 응용의 상태를 잘 분석하고 이를 통해 문제점의 원인을 판단할 수 있음을 구현을 통해 검증하였다.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.26 no.7
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• pp.1047-1054
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• 2002

To improve the fuel consumption and exhaust emission for gasoline engines, GDI(Gasoline Direct Injection) system was spotlighted to solve above requirements. Thus, many researchers have been studied to investigate the spray characteristics and the mixture formation of GDI injector. In this study, we tried to study the spray characteristics of a gasoline direct injector by using entropy analysis and PlV methods. The entropy analysis is based on the concept of statistical entropy, and it identifies the degree of homogeneity in the fuel concentration. The PlV method was adopted to determine the fluid dynamics information at the spray. From the applied results on a direct injection gasoline spray, we could find that the direct diffusion phenomena was a dominant factor in the formation of a homogeneous mixture at downstream of GDI spray especially under vaporizing ambient conditions, and mixing phenomena was also progressed by momentum exchange with induced air. In addition, the correlation between entropy and vorticity strength enabled to find their relation.

• Journal of Korea Multimedia Society
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• v.6 no.5
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• pp.805-815
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• 2003

In this paper, we present the development of document compression codec using segmentation, wavelet lifting and bitplane coding. We use the segmentation to preserve the text appearance. We performed integer-to-integer wavelet lifting and also performed bitplane subblock coding for document compression. We acquired a high compression ratio and an efficient compression by encoding only the significant subblocks in the bitplane subblock coding. We also implemented scalar quantization by subband-oriented bit shifting. The system performs color conversion and downsampling before wavelet lifting and also performs graycode conversion and quantization before subblock coding. In the experiment, we show the performances of the system by presenting the high compression ratios and high PSNR values.