• Title/Summary/Keyword: Image Board

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Morphological and Physical Properties of ONP Treated by CaCO3 In-situ Precipitation Method (탄산칼슘 in-situ precipitation 처리된 신문고지의 형태와 물성변화)

  • Lee, Young Ho;Jung, Jae Kwon;Lee, Ki Seung;Seo, Yung Bum
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.45 no.6
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    • pp.44-54
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    • 2013
  • Replacing OMG (old magazine) to ONP (old newspaper) by raising optical property through $CaCO_3$ in-situ precipitation method in white duplex board presents cost reduction and possible drying energy saving. The strength property impairment by the presence of $CaCO_3$ could be supplemented by the fiber furnish treatment or strength polymer addition. In $CaCO_3$ in-situ precipitation of ONP, it was found from morphological study using FlowCAM, an image analyzer, that most of calcium carbonate were formed on the fines, and made the size of the fines larger. For the case of forming calcium carbonate only on the fractionated fines, the size of the fines were the biggest, and there were more clean surface areas available for bonding for the fractionated long fibers when fractionated fibers and fines were regrouped to make paper.

Wafer Position Recognition System Using Radial Shape Calibrator (방사형 캘리브레이터률 이용한 웨이퍼 위치 인식시스템)

  • Lee, Byeong-Guk;Lee, Joon-Jae
    • Journal of Korea Multimedia Society
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    • v.14 no.5
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    • pp.632-641
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    • 2011
  • This paper presents a position error recognition system when the wafer is mounted in cleaning equipment among the wafer manufacturing processes. The proposed system is to enhance the performance in cost and reliability by preventing the wafer cleaning system from damaging by alerting it when it is put in correct position. The proposed algorithm is in obtaining a mapping function from camera and physical wafer by designing and manufacturing the radial shape calibrator to reduce the error by using the conventional chess board one. The system is to install in-line process using high reliable and high accurate position recognition. The experimental results show that the performance of the proposed system is better than that of the existing method for detecting errors within tolerance.

Requirements Analysis of Image-Based Positioning Algorithm for Vehicles

  • Lee, Yong;Kwon, Jay Hyoun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.5
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    • pp.397-402
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    • 2019
  • Recently, with the emergence of autonomous vehicles and the increasing interest in safety, a variety of research has been being actively conducted to precisely estimate the position of a vehicle by fusing sensors. Previously, researches were conducted to determine the location of moving objects using GNSS (Global Navigation Satellite Systems) and/or IMU (Inertial Measurement Unit). However, precise positioning of a moving vehicle has lately been performed by fusing data obtained from various sensors, such as LiDAR (Light Detection and Ranging), on-board vehicle sensors, and cameras. This study is designed to enhance kinematic vehicle positioning performance by using feature-based recognition. Therefore, an analysis of the required precision of the observations obtained from the images has carried out in this study. Velocity and attitude observations, which are assumed to be obtained from images, were generated by simulation. Various magnitudes of errors were added to the generated velocities and attitudes. By applying these observations to the positioning algorithm, the effects of the additional velocity and attitude information on positioning accuracy in GNSS signal blockages were analyzed based on Kalman filter. The results have shown that yaw information with a precision smaller than 0.5 degrees should be used to improve existing positioning algorithms by more than 10%.

A Study on Realtime Drone Object Detection Using On-board Deep Learning (온-보드에서의 딥러닝을 활용한 드론의 실시간 객체 인식 연구)

  • Lee, Jang-Woo;Kim, Joo-Young;Kim, Jae-Kyung;Kwon, Cheol-Hee
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.10
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    • pp.883-892
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    • 2021
  • This paper provides a process for developing deep learning-based aerial object detection models that can run in realtime on onboard. To improve object detection performance, we pre-process and augment the training data in the training stage. In addition, we perform transfer learning and apply a weighted cross-entropy method to reduce the variations of detection performance for each class. To improve the inference speed, we have generated inference acceleration engines with quantization. Then, we analyze the real-time performance and detection performance on custom aerial image dataset to verify generalization.

Earth Analysis Method for Installation of Equipment for Moving Pesticide Spraying System (농약살포시스템 이동을 위한 기구물 설치를 위한 대지 분석방법)

  • Boo, Chang-Jin
    • Journal of IKEEE
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    • v.22 no.4
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    • pp.1152-1157
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    • 2018
  • In this paper, we try to solve the difficulties of the location of the structure for the movement of the wire - based pesticide spraying equipment designed for field farming. To do this, we apply earth resistivity measurement method and analysis technique which can indirectly grasp the earth structure. Electrodes are installed on the field in a selected farming area, and multi-switches built in the control board are driven to automatically acquire ground resistivity data. Then, the optimal point suitable for the actual structure installation is selected through the site analysis using the 2D image restoration algorithm.

SOC design of augmented reality game and music player based on image processing (영상인식기반 증강현실 게임 및 Music Player의 SOC 설계)

  • Yeom, Seon-Sik;Lee, Woo-Yi;Ji, Seul-A;Hong, Ji-Hyeon;Lim, DongHa;Park, CheolHo;Yu, Yun Seop
    • Annual Conference of KIPS
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    • 2013.11a
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    • pp.357-358
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    • 2013
  • 의학의 발달로 인해 전세계적으로 인구의 고령화가 진행되어 노인 인구가 차지하는 비중이 갈수록 증가하고 있다. 본 논문은 고령자를 위한 작품으로 카메라와 FPGA Board, Touch Panel을 유기적으로 결합하여 음악감상과 운동효과를 가져올 수 있는 게임을 포함한 하드웨어기반 시스템을 소개한다. 간단히 공을 화면에 맞추는 게임과 손 모양 인식에 따라 음악을 제어할 수 있는 부분의 설계와 알고리즘을 기술하고 있다. 본 시스템은 노인들에게 편리하고 간단한 UI를 제공하여 실내에서 여가 시간을 보낼 때 부담이 가지 않는 운동을 할 수 있는 게임을 하며 음악을 들으면서 건강증진, 치매예방 및 심신을 안정시킬 수 있다. 본 시스템은 평균 77% 이상 동작인식성공률을 가진다.

Light-weight Gender Classification and Age Estimation based on Ensemble Multi-tasking Deep Learning (앙상블 멀티태스킹 딥러닝 기반 경량 성별 분류 및 나이별 추정)

  • Huy Tran, Quoc Bao;Park, JongHyeon;Chung, SunTae
    • Journal of Korea Multimedia Society
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    • v.25 no.1
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    • pp.39-51
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    • 2022
  • Image-based gender classification and age estimation of human are classic problems in computer vision. Most of researches in this field focus just only one task of either gender classification or age estimation and most of the reported methods for each task focus on accuracy performance and are not computationally light. Thus, running both tasks together simultaneously on low cost mobile or embedded systems with limited cpu processing speed and memory capacity are practically prohibited. In this paper, we propose a novel light-weight gender classification and age estimation method based on ensemble multitasking deep learning with light-weight processing neural network architecture, which processes both gender classification and age estimation simultaneously and in real-time even for embedded systems. Through experiments over various well-known datasets, it is shown that the proposed method performs comparably to the state-of-the-art gender classification and/or age estimation methods with respect to accuracy and runs fast enough (average 14fps) on a Jestson Nano embedded board.

Autonomous Vehicles as Safety and Security Agents in Real-Life Environments

  • Al-Absi, Ahmed Abdulhakim
    • International journal of advanced smart convergence
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    • v.11 no.2
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    • pp.7-12
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    • 2022
  • Safety and security are the topmost priority in every environment. With the aid of Artificial Intelligence (AI), many objects are becoming more intelligent, conscious, and curious of their surroundings. The recent scientific breakthroughs in autonomous vehicular designs and development; powered by AI, network of sensors and the rapid increase of Internet of Things (IoTs) could be utilized in maintaining safety and security in our environments. AI based on deep learning architectures and models, such as Deep Neural Networks (DNNs), is being applied worldwide in the automotive design fields like computer vision, natural language processing, sensor fusion, object recognition and autonomous driving projects. These features are well known for their identification, detective and tracking abilities. With the embedment of sensors, cameras, GPS, RADAR, LIDAR, and on-board computers in many of these autonomous vehicles being developed, these vehicles can properly map their positions and proximity to everything around them. In this paper, we explored in detail several ways in which these enormous features embedded in these autonomous vehicles, such as the network of sensors fusion, computer vision and natural image processing, natural language processing, and activity aware capabilities of these automobiles, could be tapped and utilized in safeguarding our lives and environment.

Investigation and Analysis of Requirements for Satellite Image Situation Board Linkage and Display System (위성영상 상황판연계·표출시스템 요구사항 조사 및 분석)

  • Sang Min Lee;Eun Jeong Kim;Mi Rae Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.457-457
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    • 2023
  • 본 연구에서는 위성영상 상황판연계·표출시스템을 개발하기 위하여 사용자 요구사항을 조사 및 분석하였고 분석 결과, 요구사항정의서와 시스템규격서를 도출하였다. 먼저, 위성영상 상황판 연계·표출시스템의 요구사항 조사를 위해 중앙재난안전상황실 근무자를 대상으로 설문(수요) 조사를 수행하였다. 상황실 실무자별 요구사항을 취합한 설문 결과와 연구 1차년에 수행했던 상황실 근무자 인터뷰 결과, RFP, 연구단 내부협의 결과를 검토하여 정보제공 측면 및 위성영상 활용 측면의 사용자 요구사항을 도출하였다. 도출 결과를 기반으로 시스템 요구사항을 정의한 결과, 시스템 기능은 54개의 기능과 9개의 비기능으로 분류되었다. 또한, 시스템 구성요소별 요구기능을 세부적으로 구분하여 요구사항정의서를 작성하였다. 시스템 요구기능 분류는 사용자기능/관리자기능/사용자서비스/사용자인터페이스/시스템기능/시스템서비스 등으로 상세 구분하였다. 마지막으로, 연구단 협의를 통해 요구사항정의서를 기반의 시스템규격서를 작성하였다. 시스템규격서는 일반규격, 각 시스템별 성능규격, 인터페이스규격, 기능규격으로 구분하여 세부 정의하였다. 본 연구내용은 지속적인 연구 개발을 통해 위성영상 상황판연계·표출시스템 설계 자료로 활용될 계획이며, 향후 위성영상을 활용한 재난안전 상황관리 대비/대응 체계 마련에 도움을 줄 것으로 사료된다.

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Evaluation of the Positional Uncertainty of a Liver Tumor using 4-Dimensional Computed Tomography and Gated Orthogonal Kilovolt Setup Images (사차원전산화단층촬영과 호흡연동 직각 Kilovolt 준비 영상을 이용한 간 종양의 움직임 분석)

  • Ju, Sang-Gyu;Hong, Chae-Seon;Park, Hee-Chul;Ahn, Jong-Ho;Shin, Eun-Hyuk;Shin, Jung-Suk;Kim, Jin-Sung;Han, Young-Yih;Lim, Do-Hoon;Choi, Doo-Ho
    • Radiation Oncology Journal
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    • v.28 no.3
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    • pp.155-165
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    • 2010
  • Purpose: In order to evaluate the positional uncertainty of internal organs during radiation therapy for treatment of liver cancer, we measured differences in inter- and intra-fractional variation of the tumor position and tidal amplitude using 4-dimentional computed radiograph (DCT) images and gated orthogonal setup kilovolt (KV) images taken on every treatment using the on board imaging (OBI) and real time position management (RPM) system. Materials and Methods: Twenty consecutive patients who underwent 3-dimensional (3D) conformal radiation therapy for treatment of liver cancer participated in this study. All patients received a 4DCT simulation with an RT16 scanner and an RPM system. Lipiodol, which was updated near the target volume after transarterial chemoembolization or diaphragm was chosen as a surrogate for the evaluation of the position difference of internal organs. Two reference orthogonal (anterior and lateral) digital reconstructed radiograph (DRR) images were generated using CT image sets of 0% and 50% into the respiratory phases. The maximum tidal amplitude of the surrogate was measured from 3D conformal treatment planning. After setting the patient up with laser markings on the skin, orthogonal gated setup images at 50% into the respiratory phase were acquired at each treatment session with OBI and registered on reference DRR images by setting each beam center. Online inter-fractional variation was determined with the surrogate. After adjusting the patient setup error, orthogonal setup images at 0% and 50% into the respiratory phases were obtained and tidal amplitude of the surrogate was measured. Measured tidal amplitude was compared with data from 4DCT. For evaluation of intra-fractional variation, an orthogonal gated setup image at 50% into the respiratory phase was promptly acquired after treatment and compared with the same image taken just before treatment. In addition, a statistical analysis for the quantitative evaluation was performed. Results: Medians of inter-fractional variation for twenty patients were 0.00 cm (range, -0.50 to 0.90 cm), 0.00 cm (range, -2.40 to 1.60 cm), and 0.00 cm (range, -1.10 to 0.50 cm) in the X (transaxial), Y (superior-inferior), and Z (anterior-posterior) directions, respectively. Significant inter-fractional variations over 0.5 cm were observed in four patients. Min addition, the median tidal amplitude differences between 4DCTs and the gated orthogonal setup images were -0.05 cm (range, -0.83 to 0.60 cm), -0.15 cm (range, -2.58 to 1.18 cm), and -0.02 cm (range, -1.37 to 0.59 cm) in the X, Y, and Z directions, respectively. Large differences of over 1 cm were detected in 3 patients in the Y direction, while differences of more than 0.5 but less than 1 cm were observed in 5 patients in Y and Z directions. Median intra-fractional variation was 0.00 cm (range, -0.30 to 0.40 cm), -0.03 cm (range, -1.14 to 0.50 cm), 0.05 cm (range, -0.30 to 0.50 cm) in the X, Y, and Z directions, respectively. Significant intra-fractional variation of over 1 cm was observed in 2 patients in Y direction. Conclusion: Gated setup images provided a clear image quality for the detection of organ motion without a motion artifact. Significant intra- and inter-fractional variation and tidal amplitude differences between 4DCT and gated setup images were detected in some patients during the radiation treatment period, and therefore, should be considered when setting up the target margin. Monitoring of positional uncertainty and its adaptive feedback system can enhance the accuracy of treatments.