• Title/Summary/Keyword: Image Mode

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The feature of the 'Mun-yi-jae-do' artistic attitude in Chinese Animation from 1949 to 1966 (1949-1966년 중국 애니메이션에 나타난 '문이재도' 문예관의 특징)

  • Liu, Danya;Lee, Dong-hun
    • Journal of Communication Design
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    • v.65
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    • pp.70-81
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    • 2018
  • From 1949 to 1966, after the new China was established, in order to consolidate newborn regime and erect national image, "proletariat revolutionary education" had become the main way of literary and artistic creation in the new era. In this era, Chinese animation began to produce to form the characteristics of emphasizing the ideological expression and political education from 1949 to1966, but it also made people misunderstand that it was the results of comprehensive containment of Soviet literary thoughts and creative models. In fact, Regardless of the subject matter, narrative, and role, Chinese animations have inherited and developed the ideological characteristics of the "Mun-yi-jae-do" literary view, forming a creative style that is different from the Soviet "dogmatism." The characteristics of "revolutionary hero role", "mythological expression of revolutionary thought" and "unique storytelling narrative mode" in Chinese animation from 1949 to 1966 were the inheritance and development of the "hero role", "mythological story", and "art of storytelling" of the important expression means of traditional art creation after the establishment of the "Mun-yi-jae-do".

Effects of Exposure Dose Reduction by Optimization of Automatic Exposure Control Factors in Digital Radiographic Examination of Paranasal Sinus (부비동 디지털 엑스선검사에서 자동노출제어 조절인자의 최적화를 통한 조사선량 감소 효과)

  • Jeong, Min-Gyu;Seoung, Youl-Hun
    • Journal of radiological science and technology
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    • v.44 no.3
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    • pp.173-181
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    • 2021
  • The purpose of this study was to reduce dose while maintaining image quality during digital radiographic examination of paranasal sinus by using the automatic exposure control (AEC) system. The tube voltage was set as six stages that increased by about 10 kVp to 70 kVp, 81 kVp, 90 kVp, 102 kVp, 109 kVp and 117 kVp. And then the AEC system conditions were consisted of 9 setting environments, that change mode of the sensitivity (S200, S400, S800) and the density (+2.5, 0, -2.5). We measured automatically exposed tube current (mAs) under 54 conditions with combined these, and assessed SNR and PSNR through the acquired images. In addition, four radiologists performed a qualitative assessment of the acquired images for each combination on a five-point scale of the Likert. As a result, the lowest dose and the highest values of SNR and PSNR in images with a qualitative assessment more than 4 point were the AEC control factors of 90 kVp, S800, D2.5. We applied this condition to the clinical trial, it showed an effect of 83.1% reduction in exposure radiation dose (mR). Therefore, AEC system could be used as dose reduction technology if it understood and used related regulatory factors and physical characteristics.

Recognition Direction Improvement of Target Object for Machine Vision based Automatic Inspection (머신비전 자동검사를 위한 대상객체의 인식방향성 개선)

  • Hong, Seung-Beom;Hong, Seung-Woo;Lee, Kyou-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.11
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    • pp.1384-1390
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    • 2019
  • This paper proposes a technological solution for improving the recognition direction of target objects for automatic vision inspection by machine vision. This paper proposes a technological solution for improving the recognition direction of target objects for automatic vision inspection by machine vision. This enables the automatic machine vision inspection to detect the image of the inspection object regardless of the position and orientation of the object, eliminating the need for a separate inspection jig and improving the automation level of the inspection process. This study develops the technology and method that can be applied to the wire harness manufacturing process as the inspection object and present the result of real system. The results of the system implementation was evaluated by the accredited institution. This includes successful measurement in the accuracy, detection recognition, reproducibility and positioning success rate, and achievement the goal in ten kinds of color discrimination ability, inspection time within one second and four automatic mode setting, etc.

Evaluating the Usefulness of Rice Bolus Phantom in Tomotherapy: Phantom Study (토모테라피에서 쌀 볼루스 팬텀의 유용성 평가: 팬텀연구)

  • Kim, Dae-Gun;Jung, Jae-Hong
    • Journal of radiological science and technology
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    • v.44 no.6
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    • pp.663-669
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    • 2021
  • The purpose of this study was to evaluate the usefulness of the rice bolus for upper-lower extremity radiation therapy by Tomotherapy. The computed tomography images were obtained for air, water, and rice bolus. The average and standard deviation of the Hounsfield unit (HU) were measured for image evaluation. The conformity index (CI) and homogeneity index (HI) were calculated for dose distribution of the planning target volume (PTV) which was treated by direct mode with gantry angle (90 and 270 angle). The point dose of a total of ten axial planes was measured to confirm the different regions. The mean of HU was -999.72 ± 0.72 at the air. The water and rice bolus were -0.13 ± 1.65 and -170 ± 27.2, respectively. The CI (HI) of PTV was 0.96 (1.36) at the air. 0.95 (1.04) at the water bolus, and 0.95 (1.04) at the rice bolus. The maximum dose for air was 136 cGy which is about 32% higher than 103 cGy for water and 104 cGy for rice bolus. There was a statistical difference for point dose between air and water including rice bolus (p=0.04), however, no statistical difference between water and rice bolus (p=0.579).The rice bolus phantom for extremities radiation therapy could be not only the optimized dose distribution but also the convenience and equipment safety at Tomotherapy. However, additional research will be necessary to more accurately verify the clinical usefulness of rice bolus phantom due to not enough examination.

Unsteady Pressure Oscillations of Liquefied Paraffin Wax Combustion in Hybrid Rocket (파라핀-왁스를 사용하는 하이브리드 로켓 연소의 비정상 압력 진동)

  • Hyun, Wonjeong;Lee, Changjin
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.5
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    • pp.339-347
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    • 2022
  • The post chamber in hybrid rocket is installed to induce additional increase in combustion enthalpy by allowing continuous burning of the liquefied fuels. When paraffin wax fuel is used, unsteady pressure oscillations are observed only at the beginning of combustion. This study intends to investigate the effect of additional combustion of liquefied fuel droplets on the occurrence of unsteady pressure fluctuations. For this, the combustion in post-chamber was visualized and image analysis using POD(Proper Orthogonal Decomposition) technique was performed. In addition, the hypothesis was proposed on the occurrence of unsteady pressure oscillations by identifying the modes including the behavior of droplets through mode reconstruction. Conducting a series of combustion tests, the amount of liquefied fuel flowing into the post chamber and the generation of fuel droplets were controlled. Also, the changes in frequency characteristic of unsteady pressure oscillation were monitored. As a result, the unsteady pressure oscillations observed in paraffin wax combustion were the result of additional combustion of fuel droplets generated in the post chamber.

Assessment and Comparison of Three Dimensional Exoscopes for Near-Infrared Fluorescence-Guided Surgery Using Second-Window Indocyanine-Green

  • Cho, Steve S.;Teng, Clare W.;Ravin, Emma De;Singh, Yash B.;Lee, John Y.K.
    • Journal of Korean Neurosurgical Society
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    • v.65 no.4
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    • pp.572-581
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    • 2022
  • Objective : Compared to microscopes, exoscopes have advantages in field-depth, ergonomics, and educational value. Exoscopes are especially well-poised for adaptation into fluorescence-guided surgery (FGS) due to their excitation source, light path, and image processing capabilities. We evaluated the feasibility of near-infrared FGS using a 3-dimensional (3D), 4 K exoscope with near-infrared fluorescence imaging capability. We then compared it to the most sensitive, commercially-available near-infrared exoscope system (3D and 960 p). In-vitro and intraoperative comparisons were performed. Methods : Serial dilutions of indocyanine-green (1-2000 ㎍/mL) were imaged with the 3D, 4 K Olympus Orbeye (system 1) and the 3D, 960 p VisionSense Iridium (system 2). Near-infrared sensitivity was calculated using signal-to-background ratios (SBRs). In addition, three patients with brain tumors were administered indocyanine-green and imaged with system 1, with two also imaged with system 2 for comparison. Results : Systems 1 and 2 detected near-infrared fluorescence from indocyanine green concentrations of >250 ㎍/L and >31.3 ㎍/L, respectively. Intraoperatively, system 1 visualized strong near-infrared fluorescence from two, strongly gadolinium-enhancing meningiomas (SBR=2.4, 1.7). The high-resolution, bright images were sufficient for the surgeon to appreciate the underlying anatomy in the near-infrared mode. However, system 1 was not able to visualize fluorescence from a weakly-enhancing intraparenchymal metastasis. In contrast, system 2 successfully visualized both the meningioma and the metastasis but lacked high resolution stereopsis. Conclusion : Three-dimensional exoscope systems provide an alternative visualization platform for both standard microsurgery and near-infrared fluorescent guided surgery. However, when tumor fluorescence is weak (i.e., low fluorophore uptake, deep tumors), highly sensitive near-infrared visualization systems may be required.

Deep Learning Based Emergency Response Traffic Signal Control System

  • Jeong-In, Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.2
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    • pp.121-129
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    • 2023
  • In this paper, we developed a traffic signal control system for emergency situations that can minimize loss of property and life by actively controlling traffic signals in a certain section in response to emergency situations. When the emergency vehicle terminal transmits an emergency signal including identification information and GPS information, the surrounding image is obtained from the camera, and the object is analyzed based on deep learning to output object information having information such as the location, type, and size of the object. After generating information tracking this object and detecting the signal system, the signal system is switched to emergency mode to identify and track the emergency vehicle based on the received GPS information, and to transmit emergency control signals based on the emergency vehicle's traveling route. It is a system that can be transmitted to a signal controller. This system prevents the emergency vehicle from being blocked by an emergency control signal that is applied first according to an emergency signal, thereby minimizing loss of life and property due to traffic obstacles.

A Study on the Development Direction of Traditional Cultural Contents in the Age of Convergence Media (융합미디어 시대에서 전통문화 콘텐츠의 발전방향 연구)

  • Shan, Xinyi;Chung, Jeanhun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.3
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    • pp.99-104
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    • 2022
  • In the age of convergent media, traditional media and network media are highly integrated, and benefits are shared, which promotes the increase of traditional culture communication channels, the change of communication methods, and the change of the mode of interaction with audiences. This article analyzes the difficulties of traditional culture dissemination by enumerating some excellent cultural programs in China. At the same time, combined with the current situation of convergence media, it discusses how to transform invisible traditional culture into visual digital content, and make it widely disseminated by means of convergence media. It provides reference for the development of traditional culture, and has enlightening significance for creating high-quality cultural programs and spreading mainstream culture.

Target-free vision-based approach for vibration measurement and damage identification of truss bridges

  • Dong Tan;Zhenghao Ding;Jun Li;Hong Hao
    • Smart Structures and Systems
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    • v.31 no.4
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    • pp.421-436
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    • 2023
  • This paper presents a vibration displacement measurement and damage identification method for a space truss structure from its vibration videos. Features from Accelerated Segment Test (FAST) algorithm is combined with adaptive threshold strategy to detect the feature points of high quality within the Region of Interest (ROI), around each node of the truss structure. Then these points are tracked by Kanade-Lucas-Tomasi (KLT) algorithm along the video frame sequences to obtain the vibration displacement time histories. For some cases with the image plane not parallel to the truss structural plane, the scale factors cannot be applied directly. Therefore, these videos are processed with homography transformation. After scale factor adaptation, tracking results are expressed in physical units and compared with ground truth data. The main operational frequencies and the corresponding mode shapes are identified by using Subspace Stochastic Identification (SSI) from the obtained vibration displacement responses and compared with ground truth data. Structural damages are quantified by elemental stiffness reductions. A Bayesian inference-based objective function is constructed based on natural frequencies to identify the damage by model updating. The Success-History based Adaptive Differential Evolution with Linear Population Size Reduction (L-SHADE) is applied to minimise the objective function by tuning the damage parameter of each element. The locations and severities of damage in each case are then identified. The accuracy and effectiveness are verified by comparison of the identified results with the ground truth data.

In-Loop Filtering with a Deep Network in HEVC (깊은 신경망을 사용한 HEVC의 루프 내 필터링)

  • Kim, Dongsin;Lee, So Yoon;Yang, Yoonmo;Oh, Byung Tae
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.11a
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    • pp.145-147
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    • 2020
  • As deep learning technology advances, there have been many attempts to improve video codecs such as High-Efficiency-Video-Coding (HEVC) using deep learning technology. One of the most researched approaches is improving filters inside codecs through image restoration researches. In this paper, we propose a method 01 replacing the sample adaptive offset (SAO) filtering with a deep neural network. The proposed method uses the deep neural network to find the optimal offset value. The proposed network consists of two subnetworks to find the offset value and its type of the signal, which can restore nonlinear and complex type of error. Experimental results show that the performance is better than the conventional HEVC in low delay P and random access mode.

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