• Title/Summary/Keyword: 육안식별

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Wood Identification of the Veneer Species that grow in Korea - I. Wood Characteristics and Identification by the Gross Features - (한국산(韓國産) 단판수종(單板樹種)의 목재식별(木材識別) - I. 육안적(肉眼的) 성질(性質)에 의한 목재(木材)의 특성(特性) 및 그 식별(識別) -)

  • Lee, Phil-Woo;Eom, Young-Geun
    • Journal of the Korean Wood Science and Technology
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    • v.12 no.1
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    • pp.11-30
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    • 1984
  • This study was executed to offer the basical data needed to the plywood industry as examining on the wood characteristics of veneer species that grow in Korea. According to the aggravation of log import from foreign countries caused by the gradual exhaustion of wood resources in recent years, the study on wood characteristics of veneer species growing in Korea should be carried out preferentially in promotion of the domestic timber utilization and development of it's processing technique for plywood industry. 50 commercial veneer species in this study were selected from 33 genuses, and general macroseopical wood characteristics for them were examined and described by the species. And also keys for the identification based on gross features were briefly prepared and presented by gymnosperm and angiosperm respectively.

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A Study on Deep Learning based Aerial Vehicle Classification for Armament Selection (무장 선택을 위한 딥러닝 기반의 비행체 식별 기법 연구)

  • Eunyoung, Cha;Jeongchang, Kim
    • Journal of Broadcast Engineering
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    • v.27 no.6
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    • pp.936-939
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    • 2022
  • As air combat system technologies developed in recent years, the development of air defense systems is required. In the operating concept of the anti-aircraft defense system, selecting an appropriate armament for the target is one of the system's capabilities in efficiently responding to threats using limited anti-aircraft power. Much of the flying threat identification relies on the operator's visual identification. However, there are many limitations in visually discriminating a flying object maneuvering high speed from a distance. In addition, as the demand for unmanned and intelligent weapon systems on the modern battlefield increases, it is essential to develop a technology that automatically identifies and classifies the aircraft instead of the operator's visual identification. Although some examples of weapon system identification with deep learning-based models by collecting video data for tanks and warships have been presented, aerial vehicle identification is still lacking. Therefore, in this paper, we present a model for classifying fighters, helicopters, and drones using a convolutional neural network model and analyze the performance of the presented model.

Practical Understanding of Gross Examination Techniques (육안검사기술의 실무적 이해)

  • Woo-Hyun JI
    • Korean Journal of Clinical Laboratory Science
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    • v.56 no.1
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    • pp.89-98
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    • 2024
  • Gross examination techniques (GETs) of specimens collected from cancer surgery or endoscopy comprise the act of recording visual information about cancer for accurate histopathological diagnosis and collecting sections of the lesion to create microscopic specimens. GETs must include concise and accurate expressions, appropriate structuring, sufficient resections, error-free standardization of important information, and photo-diagramming of complex specimens. To increase the satisfaction of pathological interpretation, it is a task that must be performed accurately and carefully to gain confidence on a theoretical and practical basis with a sufficient understanding of gross examination. Based on the experience of clinical pathologists in the field of GETs, additional specimen types should be identified as viable candidates. Also, their needs and concerns regarding treatment should be carefully considered. In addition, departments at each institution should review the national focus on clinical partnerships, continuous professional training, diagnostic errors, and value-based healthcare provision.

A Development of Q-MEXS for In-tine Quality Monitoring in Resistance Welding (저항용접공정에서의 In-Line 품질평가를 위한 Q-MEXS의 개발)

  • 조성우;조상명
    • Proceedings of the KWS Conference
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    • 2004.05a
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    • pp.24-26
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    • 2004
  • 현재 박판조립라인에서 널리 사용되는 저항용접은 용접기술과 자동화 기술의 발달로 자동차, 가전제품 등의 분야에서 중요한 위치를 차지하고있다. 그러나 용접 품질의 좋고 나쁨은 육안으로 식별하기 어렵기 때문에 점용접의 품질 확보에 어려움을 겪고 있다. (중략)

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포도부채잎바이러스

  • 한국농약공업협회
    • The Bimonthly Magazine for Agrochemicals and Plant Protection
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    • v.5 no.1
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    • pp.73-75
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    • 1984
  • 이 바이러스의 병징중 대표적인 것은 잎이 부채모양이나 부채를 반으로 접은 모양이 되는 것이다. 이러한 병징때문에 Grape fanleaf virus로 부르게 된 것으로 추측되며 이를 근거로 포도 부채잎바이러스로 이름을 붙였다. 이 바이러스는 우리나라 식물검역법규상 경계 병원균으로 지정되어 있지는 않으나 아직 우리나라에 분포되어 있지 않은 주요 병원균으로 수입시 선충부착 여부와 육안으로 식별이 가능한 병징의 발현 여부를 철저히 검사하여 국내 침입을 방지 하여야 한다.

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Determination of Visible Marker in Petroleum Using HPLC (HPLC를 이용한 석유제품 내의 가시적 식별제 분석)

  • Lim, Young-Kwan;Kim, Dong-Kil;Yim, Eui-Soon;Shin, Seong-Cheol
    • Applied Chemistry for Engineering
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    • v.21 no.3
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    • pp.306-310
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    • 2010
  • Petroleum visible markers (dye) have been used to distinguish different fuel classes and to prevent illegal mixing. It is difficult to recognize the real color of visible marker when the small amount of petroleum product was mixed in another fuel oil. In this study, we determined the two wavelengths (370 nm, 645 nm) which detect all Korean petroleum visible marker using UV/Vis spectrophotometer. Then we analyzed the visible marker using high performance liquid chromatography (HPLC) in two wavelength detectors. Also, we optimized the analytic method for petroleum visible marker in illegal mixed fuel oil.

Anatomical Identification of the Woods of Exotic Tree Species Grown in Korea (한국산(韓國產) 외래수종(外來樹種)의 목재해부학적(木材解剖學的) 식별(識別))

  • Lee, Phil Woo
    • Journal of Korean Society of Forest Science
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    • v.10 no.1
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    • pp.41-45
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    • 1970
  • This study was carried out to investigate the identification of the woods of commercially important exotic tree species grown in Korea. The test trees used in this study were selected 21 species grown in Kwangyang and Suwon, Korea. The items of macroscopical features were observed and examined principally on the annual rings, transitions spring to the summerwood, pore types and arrangements, sap and heartwoods, wood colors, odor and tastes, resin ducts, parenchymas, and rays etc. The microscopical features observable in the elements, and their compositions such as vessels, tracheids, wood fibers, ray parenchyma cells, and intercellular cannals were observed and measured. The observed and measured results investigated were synthesized, and accordance with these results macroscopical and microscopical keys were prepared for the wood identification as seen in the text.

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Wood Identification of the Veneer Species that grow in Korea - II. Wood Characteristics and Identification by the Microscopic Features - (한국산(韓國産) 단판수종의(單板樹種)의 목재식별(木材識別) - II. 현미경적(顯微鏡的) 성질(性質)에 의한 목재(木材)의 특성(特性) 및 그 식별(識別) -)

  • Lee, Phil-Woo;Eom, Young-Geun
    • Journal of the Korean Wood Science and Technology
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    • v.15 no.1
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    • pp.22-55
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    • 1987
  • This study was executed to offer the basic data needed to plywood industry in Korea for the future based on microscopic wood features as our previous paper reported by the macroscopic features. Microscopic wood characteristics for 50 species selected by the viewpoint of possible utility in future were examined and described by the species. Also, keys for the identification based on microscopic features were briefly prepared and presented by gymnosperm and angiospenn respectively.

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