• Title/Summary/Keyword: Patter

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Positioning Analysis of Archaeological Sites Using GPR (지하레이더를 이용한 유적지 위치 해석)

  • Jang, Ho-Sik;Kim, Jin-Soo;Lee, Jong-Chool
    • Journal of Korean Society for Geospatial Information Science
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    • v.11 no.1 s.24
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    • pp.45-49
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    • 2003
  • This study was peformed in two ways, which are 'Before' 'After' carrying out trench search through GPR which is called 'Non Destructive Geophysical' to the expected area where the remains of historic interest could be distributed within the highway construction site from Dae-gu to Busan. As a result, the layer containing gravel and sand has more irregular specular surface then others containing silt and clay, And, apart block irregular specular surfaces of prominence and depression patter appeared. After performing trench search, verified that the site yield dolmens and lots of stone implements.

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Effects of Spray Breakup Model Variables on Spray and Combustion Characteristics (분열모델 상수가 분무 및 연소특성에 미치는 영향)

  • Lee, Seungpil;Park, Junkyu;Park, Sungwook
    • Journal of ILASS-Korea
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    • v.22 no.1
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    • pp.29-35
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    • 2017
  • This paper describes the effects of spray breakup model constants on spray and combustion characteristics in single cylinder compression engine. KIVA-3V code coupled with a CHEMKIN chemistry solver was used for numerical analysis. In this study, spray simulations and combustion simulations are studied simultaneously. Spray simulation was conducted in constant volume to reduce the effects of air-flow as swirl or tumble. The model validation was conducted and there are little difference between experiments and simulation, this differences were reasonable. In spray simulation, the effects of model constants on spray tip penetration, spray patter and SMD were studied. Furthermore, the analysis of effects of breakup variables on combustion and emissions characteristics was conducted. The results show the KH-RT breakup model constants affects spray and combustion characteristics strongly. Increasing KH model variable (B1) and RT model constants ($C_{\tau}$, $C_{RT}$) induced slower breakup time.

Imaging Device Identification using Sensor Pattern Noise Based on Wiener Filtering (Wiener 필터링에 기반하는 센서 패턴 노이즈를 활용한 영상 장치 식별 기술 연구)

  • Lee, Hae-Yeoun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.12
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    • pp.2153-2158
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    • 2016
  • Multimedia such as image, audio, and video is easy to create and distribute with the advance of IT. Since novice uses them for illegal purposes, multimedia forensics are required to protect contents and block illegal usage. This paper presents a multimedia forensic algorithm for video to identify the device used for acquiring unknown video files. First, the way to calculate a sensor pattern noise using Wiener filter (W-SPN) is presented, which comes from the imperfection of photon detectors against light. Then, the way to identify the device is explained after estimating W-SPNs from the reference device and the unknown video. For the experiment, 30 devices including DSLR, compact camera, smartphone, and camcorder are tested and analyzed quantitatively. Based on the results, the presented algorithm can achieve the 96.0% identification accuracy.

The Normalization and Statistical Distril in Partial Discharge Quantities and Patter (PD패턴과 방전량의 통계적 분포 및 정규화)

  • Lim, Jang-Seob;Lee, Jin;Kim, Duck-Keun
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1999.05a
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    • pp.161-164
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    • 1999
  • Estimation system of aging diagnosis using partial discharge(PD) is being highlighted as a research area for the residual lifetime pridiction of industrial equipment. But the application of PD requires complicated analysis method as expert system because the PD has complex progressing forms according to external stress. In this paper, it has been investigated the statistical distribution to express the 2D PD patterns of the diagnosis system using neural network(NN).

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Taxonomic Strudy of the Combitid Fish, Cobitis Iutheri Rendahl and C. striata Ikeda (Cobitidae) from Korea (한국산 점줄종개(Cobitis lutheri) 와 줄종개(C.striata)의 분류학적 연구)

  • 김익수;이금영
    • Animal Systematics, Evolution and Diversity
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    • v.4 no.2
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    • pp.91-102
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    • 1988
  • Both Cobitis lutheri Rendahl and C.striata Ikeda previously regarded as the subspecies of C.taenia are revised here and raised to the species rank based on the distinct color pattern on their body sides in relation to the shpae of lamina circularis and suborbital spine, and distinct distributional patter. C. lutheri was similar to C. striata in chromosome number and karyotype, but chromosomal polymorphism as Robert sonian event was confirmed only in the population of C.lutheri studies. Both, C. kutheri and C..striata have disjunct ranges : the former in western Korea and east-northern China Mainland, the latter in the Smjin River of korea and west-southern Japan. hybridization between C. lutheri and C. striata by secondary contact appeared in the limited zone of the Dongjin River, Chllabuk-do province, korea, but the evidence for habitat segregation between them suggests the possibility that natural hybridization occurs between the two species and introgression results. We consider that the two species were produced as ecological equivalent species in the different branch stream of the Paleo-Hwangho River , The time of recession of sea level during the gracial period.

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Extension of Connection Mechanism on Connector Architecture using the Bridge Patter (브리지 패턴을 사용한 커넥터 아키텍처의 커넥션 메커니즘 확장)

  • 채정화;전형수;유철중;장옥배
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04a
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    • pp.616-618
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    • 2001
  • J2EE(Java™ 2 Platform, Enterprise Edition) 커넥터 아키텍처(Connector Architecture)는 J2EE 플랫폼을 다양한 EIS와 연결하기 위하여 공통 클라이언트 인터페이스(CCI:Common Client Interface)를 정의한다. CCI의 커넥션 메커니즘은 추상 팩토리 패턴(Abstract Factory Pattern)을 따르고 있다. 추상 팩토리 패턴을 이용함으로써 커넥터 아키택처는 각기 상이한 커넥션과 커넥션 팩토리가 독립적인 벤더들에 의해 독립적으로 구현될 수 있게 한다. 브리지 패턴(Bridge Pattern)은 추상화 정도와 구현에 따라 추상 클래스와 구현 클래스를 별도의 클래스로 구현하여 이들이 동적으로 조합되도록 한다. 본 논문에서는 추상 팩토리 패턴을 따르고 있는 CCI의 터넥션 메커니즘을 브리지 패턴을 적용하여 확장된 커넥션 메커니즘을 제시한다. 추상 팩토리 패턴은 클래스의 생성과 관련 있는 생성 패턴(Creational Pattern)인 반면 브리지 패턴은 구조 패턴(Structural Pattern)이다. 즉, 대행하는(delegation)클래스의 행위들을 중계해 준다. 구조 패턴은 새로운 기능을 구현하기 위해 객체를 구성하는 방식에 초점을 두며, 실행 시에 객체 컴포지션 구조를 변경할 수 있어 이를 통해 유동성과 확장성을 추가할 수 있다.

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Microstereolithography using a digital micromirror device as a dynamic pattern generator (디지털마이크로미러 소자를 이용한 마이크로광조형 기술개발)

  • Joo J.Y.;Kim S.H.;Jeong S.H.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.10a
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    • pp.509-513
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    • 2005
  • In order to increase productivity in conventional stereolithography. Microstereolithography using a digital micramirror device $(DMD^{TM})$ as a dynamic patter generator is proposed The deviation from a level of clear optical images to a level of a photopolymer surface is a key for the fabrication of an accurate 3D structure. so this deviation is minimized by controlling the viscosity of FA1260T with organic solvents. After finding the appropriate process valuables (exposure time of optical images. layer thickness of each layer). the feasibility of microstructures such as a microgear and a microsphere is then demonstrated. Microstereolithography wi th $DMD^{TM}$ might eventually replace conventional laser induced microstereolithography market such as in the manufacturing of jewels and medical parts.

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Development of Odor Sensor Array using Pattern Classification Technology (패턴분류 기술을 이용한 후각센서 어레이 개발)

  • Park, Tae-Won;Lee, Jin-Ho;Cho, Young-Chung;Ahn, Chul
    • Proceedings of the SAREK Conference
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    • 2006.06a
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    • pp.454-459
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    • 2006
  • There are two main streams for pattern classification technology One is the method using PCA (Principal Component Analysis) and the other is the method using Neural network. Both of them have merits and demerits. In general, using PCA is so simple while using neural network can improve algorithm continually. Algorithm using neural network needs so many calculations rendering very slow response. In this work, an attempt is made to develop algorithms adopting both PCA and neural network merits for simpler, but faster and smarter.

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OBJECT RECOGNITION ALGORITHM (물체 인지 알고리즘)

  • Shon, Howoong;Cho, Hyun C;Kim, Youngkyung
    • Journal of the Korean Geophysical Society
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    • v.7 no.4
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    • pp.247-253
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    • 2004
  • In this paper, 3D recognizing algorithm which is based on the external shape feature is presented. Since many objects have the regular shape, if we posses the database of pattern and we recognize the object using the database of the object's pattern, it is possible to inspect and/or recognize the objects of many fields. This paper handles on the 3D object recognition algorithm using the geometrical pattern matching by 3D database.

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Plume Structure Analysis of an Axisymmetric Supersonic Micro-nozzle at the Various Pressure Ratios (압력비가 변할 때 축대칭 초음속 노즐의 플룸 구조 해석)

  • Kwon, Soon-Duk;Kim, Sung-Cho;Kim, Jeong-Soo;Choi, Jong-Wook;Kim, Yong-Sseok
    • Proceedings of the KSME Conference
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    • 2007.05b
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    • pp.2862-2867
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    • 2007
  • The steady non-reacted compressible flow field in a symmetric micro-thruster, which is used for the accurate attitude control of a satellite, is analyzed varying the nozzle pressure ratio (NPR) to investigate the plume characteristics. The nozzle throat diameter is 0.06 inch and the area ratio is 56. The recirculation region is found just behind the normal shock at the several NPRs due to the locally adverse pressure gradient along the nozzle centerline when the environmental pressure is atmospheric. This phenomenon, the cause of flow loss, is similar to the flow behind a blunt body. As NPR increases the location of Mach disk, characteristics of the normal shock, moves downstream and its strength increases. The Mach number distribution appears in a wave-type patter after the normal shock because oblique shocks are reflected on the shock boundaries especially when NPRs are very high.

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