• Title/Summary/Keyword: Shooting Distance

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Contact Microscopy by Using Soft X-ray Radiation from Iodine Laser Produced Plasma (옥소 레이저 플라즈마에서 발생된 연 X-선을 이용한 밀착 현미경 기술)

  • 최병일
    • Proceedings of the Optical Society of Korea Conference
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    • 1990.02a
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    • pp.49-53
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    • 1990
  • Laser plasma was generated by a 1 GW iodine photodissociation laser(λ=1.315${\mu}{\textrm}{m}$, E-12.7J) whose output beam was focused on a molybdenum target surface. The experiment was conducted in the vacuum chamber under 10-5Torr and several tens of laser shooting were necessary for sufficient exposure to the PBS resist. A speciman was put directly on the resist and located at a distance of 3cm from the X-ray source. The replicas of a mesh, spider's tread, a red blood cell were obtained by PBS resist and were analyzed by Nomarski and SEM. Two main effects of limitation in resolution, source size and Fresnel diffraction, are mentioned and compared with the experimental result. In this experiment, a resolution better than 1000A could be obtained.

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Design of Fuzzy Inference System for Cameras Inter-Axial Distance Control of Remote Stereoscopic Photographs (원거리 입체촬영용 카메라 축간거리 조절을 위한 퍼지추론 시스템)

  • Byun, Gi-Sig;Oh, Sei-Woong;Kim, Gwan-Hyung;Kim, Min;Kim, Hyun-Jo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.1
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    • pp.41-49
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    • 2015
  • The common way to obtain a stereoscopic image of a subject at a distance is to place two cameras on the parallel axis rather than crossing axis. To find the IAD and maximum focal length, left and right images are obtained by varying the IAD of cameras and the focal length of the camera lens and the depth budget for the obtained images is analyzed through post production. Then, the database for IAD and focal length of the camera lens with the depth range that does not cause visual fatigue and visual discomfort are developed. These data are used to design fuzzy control and deduce the IAD and focal length of the camera lens to shoot a subject at a distance, and the function of the fuzzy control is confirmed through the actual shooting within the range of deduced IAD and focal length of the camera lens.

A Study of Arrow Performance using Artificial Neural Network (Artificial Neural Network를 이용한 화살 성능에 대한 연구)

  • Jeong, Yeongsang;Kim, Sungshin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.5
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    • pp.548-553
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    • 2014
  • In order to evaluate the performance of arrow that manufactures through production process, it is used that personal experiences such as hunters who have been using bow and arrow for a long time, technicians who produces leisure and sports equipment, and experts related with this industries. Also, the intensity of arrow's impact point which obtains from repeated shooting experiments is an important indicator for evaluating the performance of arrow. There are some ongoing researches for evaluating performance of arrow using intensity of the arrow's impact point and the arrow's flying image that obtained from high-speed camera. However, the research that deals with mutual relation between distribution of the arrow's impact point and characteristics of the arrow (length, weight, spine, overlap, straightness) is not enough. Therefore, this paper suggests both the system that could describes the distribution of the arrow's impact point into numerical representation and the correlation model between characteristics of arrow and impact points. The inputs of the model are characteristics of arrow (spine, straightness). And the output is MAD (mean absolute distance) of triangular shaped coordinates that could be obtained from 3 times repeated shooting by changing knock degree 120. The input-output data is collected for learning the correlation model, and ANN (artificial neural network) is used for implementing the model.

Facial Exposure Dose Assessment During Intraoral Radiography by Radiological Technologists (구내 촬영시 방사선사의 안면부 피폭선량 측정)

  • Yu, Hwan;Yang, Hanjoon
    • Journal of radiological science and technology
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    • v.37 no.3
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    • pp.195-201
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    • 2014
  • The study examined the changes in the decreased facial exposure dose for radiological technologists depending on increased distance between the workers and the X-ray tube head during intraoral radiography. First, the facial phantom similar to the human tissues was manufactured. The shooting examination was configured to the maxillary molars for adults (60kVp, 10mA, 50msec) and for children (60kVp, 10mA, 20msec), and the chamber was fixed where the facial part of the radiation worker would be placed using the intraoral radiography equipment. The distances between the X-ray tube head and the phantom were set to 10cm, 15cm, 20cm, 25cm, 30cm, 35cm, and 40cm. The phantom was radiated 20 times with each examination condition and the average scattered doses were examined. The rate at the distance of 40cm decreased by about 92.6% to 7.43% based on the scattered rays radiated at the distance of 10cm under the adult conditions. The rate at the distance of 40cm decreased by about 97.6% to 2.58% based on the scattered rays radiated at the distance of 10cm under the children conditions. Protection from the radiation exposure was required during the dental radiographic examination.

Extraction of UAV Image Sharpness Index Using Edge Target Analysis (에지 타겟 분석을 통한 무인기 영상의 선명도 지표 추출)

  • Lim, Pyung-Chae;Seo, Junghoon;Kim, Taejung
    • Korean Journal of Remote Sensing
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    • v.34 no.6_1
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    • pp.905-923
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    • 2018
  • In order to generate high-resolution products using UAV images, it is necessary to analyze the sharpness of the themselves measured through image analysis. When images that have unclear sharpness of UAV are used in the production, they can have a great influence on operations such as acquisition and mapping of accurate three-dimensional information using UAV. GRD (Ground Resolved Distance) has been used as an indicator of image clarity. GRD is defined as the minimum distance between two identifiable objects in an image and is used as a concept against the GSD (Ground Sampling Distance), which is a spatial sample interval. In this study, GRD is extracted by analyzing the edge target without visual analysis. In particular, GRD to GSD ratio (GRD/GSD), or GRD expressed in pixels, is used as an index for evaluation the relative image sharpness. In this paper, GRD is calculated by analyzing edge targets at various altitudes in various shooting environments using a rotary wing. Using GRD/GSD, it was possible to identify images whose sharpness was significantly lowered, and the appropriateness of the image as an image clarity index was confirmed.

Analysis of sight deviation between the panelists and the camera of digital broadcasting (디지털 방송 카메라와 토론자 간의 시각 편차 해석)

  • Choi, Chul-Jae;Joo, Seok-Hum;Lee, Tae-Hee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.7
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    • pp.835-840
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    • 2014
  • In this paper, we analyze the visual deviation for the sight mismatch between the digital broadcast camera during shooting and panelists due to sideways frequently the digital stopwatch for panelists who participated in the election broadcast to check the time limit. Match the sight of the on-air broadcast camera discussion and participants in the debate, such as the small studio is relatively stable. However, if a large number of participants in the discussion and broadcasting of the forum is a serious sight deviation occurring by sideways large LCD monitor stopwatch that is installed in the center. Therefore, in this paper, the number of panelists, the length of the desk, to discuss the analysis of fair value changes in accordance with the height and distance the distance between the digital stopwatch, and digital broadcast camera.

A Study on the Object Search in 3D FPS Games Using Modified Frustum Culling (변형된 절두체 컬링을 이용한 3차원 FPS 게임에서의 오브젝트 탐색 연구)

  • Choi, Won-Tae;Park, Chang-Min
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.06a
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    • pp.105-108
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    • 2007
  • A 3D game plays in fast screen conversion and the objects a partner with camera visual field. Shall recognize a threat of the opponent objects that there is not to a visual field of a player in on-line games. In this paper, we proposed a method to efficiently search for the object in 3D game as used modified frustum culling. For the objects which a player cannot perceive, we accord the player and camera position and used a distance of the player and objects for count of the threatening objects. The method that proposed will play an important role in development of a 3D FPS games.

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A Experimental Comparison Analysis for the Characteristics of Impulse Noise Caused by Shooting of Small Arms (소구경 화기의 사격음 특성에 대한 비교분석 연구)

  • Park, Mi-You;Shim, Cheul-Bo;Hong, JunSeok
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.26 no.5
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    • pp.578-583
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    • 2016
  • In order to provide a basis data for design of small arms and their silencer, an experimental study on firing noise of small arms was performed around the muzzle of a gun. For this experimental comparison analysis, the target small arms were included most operating small arms in our country. The sound pressure levels were measured at a certain distance which was predetermined according to US army firing test procedure, TOP 3-2-045. By this experimental study, the sound pressure levels of 5.56 mm caliber small arms are 143 dB ~ 145.4 dB and 7.62 mm caliber small arms are 144 dB ~ 145.2 dB. Between the heavy machine gun K12 and M60, the sound pressure level of K12 is slightly lower than M60.Also silencer for K14 snifer rifle was tested. Using this result, it has been found that the reduction effect of the silencer is 15.4 dB but the improvements of silencer performance in the high frequency range have to be studied later on.

Learning Multi-Character Competition in Markov Games (마르코프 게임 학습에 기초한 다수 캐릭터의 경쟁적 상호작용 애니메이션 합성)

  • Lee, Kang-Hoon
    • Journal of the Korea Computer Graphics Society
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    • v.15 no.2
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    • pp.9-17
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    • 2009
  • Animating multiple characters to compete with each other is an important problem in computer games and animation films. However, it remains difficult to simulate strategic competition among characters because of its inherent complex decision process that should be able to cope with often unpredictable behavior of opponents. We adopt a reinforcement learning method in Markov games to action models built from captured motion data. This enables two characters to perform globally optimal counter-strategies with respect to each other. We also extend this method to simulate competition between two teams, each of which can consist of an arbitrary number of characters. We demonstrate the usefulness of our approach through various competitive scenarios, including playing-tag, keeping-distance, and shooting.

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Design of Measurement Algoritms in the Smart CamRuler (스마트 CamRuler 계측 알고리즘 설계)

  • Oh, Sun-Jin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.4
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    • pp.149-156
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    • 2013
  • With a rapid growth of smartphone technologies, various applications are developed and diffused actively nowadays. Especially, interesting applications using camera module in a smartphone are developed continuously, mobile users are able to use various useful mobile services in humdrum life. In this paper, we design and implement measurement algorithms which precisely measure the object taken by the camera module in a smartphone. We use 3-axis gyro accelerometer sensor in a smartphone to get the distance, incline and rotation angle in a real time when we take a picture of shooting object and can obtain precise size of it in the picture image. The measurement algorithms proposed in this paper are analyzed and evaluated by a simulation study.