• Title/Summary/Keyword: 형상특징

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Hull Form Development of an AFRAMAX Tanker with a Composite Stern Frameline Concept (복합선미선형 개념에 의한 AFRAMAX형 유조선 선형의 개발)

  • Ho-Chung Kim;Chun-Ju Lee;Su-Hyung Kim
    • Journal of the Society of Naval Architects of Korea
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    • v.28 no.2
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    • pp.1-11
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    • 1991
  • A hull form for an Aframax tanker whore form parameters cover the values of $C_B{\simeq}0.8,\;L/B{\simeq}5.5\;and\;B/d{\simeq}3.5$ has been developed by applying a composite stern frameline concept and its excellent performance has been evaluated through a series of model tests at the Korea Research Institute of Ships and Ocean Engineering. The tests showed that this concept was very much promising in the cases of wide breadth and shallow draught vessels and suitably applicable to the stern frameline shape. For the comparison, a hull form developed by Japanese 'H' yard has been selected and the performances of two hull forms were evaluated by model tests and theoretical calculations. The comparison shows that Daewoo hull form requires less effective power by 10% and less delevered power by 5-6% at both full load and ballast conditions. In addition, it is suggested that Hushes method can give better correlationthan Froude method because the full scale resistance extrapolated by Froude method would be very much optimistic in case of the hull form with very low value of form factor.

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A Study on the Number Recognition using Cellular Neural Network (Cellular Neural Network을 이용한 숫자인식에 관한 연구)

  • 전흥우;김명관;정금섭
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.6
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    • pp.819-826
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    • 2002
  • Cellular neural networks(CNN) are neural networks that have locally connected characteristics and real-time image processing. Locally connected characteristics are suitable for VLSI implementation. It also has applications in such areas as image processing and pattern recognition. In this thesis cellular neural networks are used for feature detection in number recognition at the stage of re-processing. The four or six directional shadow detectors are used in numbers recognition. At the stage of classification, this result of feature detection was simulated by using a multi-layer back Propagation neural network. The experiments indicate that the CNN feature detectors capture good features for number recognition tasks.

Single Ping Clutter Reduction Algorithm Using Statistical Features of Peak Signal to Improve Detection in Active Sonar System (능동소나 탐지 성능 향상을 위한 피크 신호의 통계적 특징 기반 단일 핑 클러터 제거 기법)

  • Seo, Iksu;Kim, Seongweon
    • The Journal of the Acoustical Society of Korea
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    • v.34 no.1
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    • pp.75-81
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    • 2015
  • In active sonar system, clutters degrade performance of target detection/tracking and overwhelm sonar operators in ASW (Antisubmarine Warfare). Conventional clutter reduction algorithms using consistency of local peaks are studied in multi-ping data and tracking filter research for active sonar was conducted. However these algorithms cannot classify target and clutters in single ping data. This paper suggests a single ping clutter reduction approach to reduce clutters in mid-frequency active sonar system using echo shape features. The algorithm performance test is conducted using real sea-trial data in heavy clutter density environment. It is confirmed that the number of clutters was reduced by about 80 % over the conventional algorithm while retaining the detection of target.

A Study on the Moving Object Tracking System Using Multi-feature Matching (다양한 특징 매칭을 이용한 움직이는 물체 추적 시스템에 관한 연구)

  • Piao, Zai-Jun;Kim, Sun-Woo;Choi, Yeon-Sung;Park, Chun-Bae;Ha, Tae-Ryeong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.4
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    • pp.786-792
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    • 2007
  • Moving object tracking is very important in video surveillance system. This paper presents a method for tracking moving objects in an outdoor environment. To moving object tracking, first, after extract object that move yielding weight subtraction image and then use close operator to reduce the noise. And we track a object that move detected by matching the extracted multi-feature information. The proposed tracking technique can track moving object by multi-feature matching method so that exactly tracking the objects which are suddenly move or stop. The proposed tracking technique can be efficiently tracking the moving objects, because of combined with spatial position, shape and intensity informations.

Rapid and Low-Energy Melting of Cast Iron using Small Scrap Steel as a Charge Material - Part II. Application of Small Scrap Steel in Low-Frequency Induction Melting Furnace and Energy Characteristics (소형 고철 장입재를 활용한 신속 저에너지 주철 용해 - Part II. 저주파 용해로 적용 및 에너지 측면 특징)

  • Lee, Sang-Hwan
    • Journal of Korea Foundry Society
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    • v.41 no.2
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    • pp.132-138
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    • 2021
  • In this study, the power basic units to produce cast iron by using the press and shredded scrap are compared in 16t/h low-frequency induction melting furnace. Charging the shredded scrap instead of the press scrap was confirmed that the power basic unit is improved by about 5%. The energy characteristics according to the shape and size of scrap steel and the effect of the furnace size were investigated. Finally, the strategy to improve the utilization of this technology was proposed.

The Management of Smart Safety Houses Using The Deep Learning (딥러닝을 이용한 스마트 안전 축사 관리 방안)

  • Hong, Sung-Hwa
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.505-507
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    • 2021
  • Image recognition technology is a technology that recognizes an image object by using the generated feature descriptor and generates object feature points and feature descriptors that can compensate for the shape of the object to be recognized based on artificial intelligence technology, environmental changes around the object, and the deterioration of recognition ability by object rotation. The purpose of the present invention is to implement a power management framework required to increase profits and minimize damage to livestock farmers by preventing accidents that may occur due to the improvement of efficiency of the use of livestock house power and overloading of electricity by integrating and managing a power fire management device installed for analyzing a complex environment of power consumption and fire occurrence in a smart safety livestock house, and to develop and disseminate a safe and optimized intelligent smart safety livestock house.

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Displacement Control Technique of Pre-stressable Cable Structures by Force Method (하중법을 이용한 케이블 구조물의 변위제어기법에 관한 연구)

  • Shon, Su-Deok;Kwan, Alan S.K.;Lee, Seung-Jae
    • Journal of Korean Association for Spatial Structures
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    • v.11 no.2
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    • pp.139-149
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    • 2011
  • A cable structures have the advantage that cover a large space without column but it is very sensitive to deal with shape control because of its flexibility. Especially, location of control member and needed elongation of member are important things. Therefore, the purpose of this paper is studied on displacement control technique for pre-stressed cable structures by force method considering order of control. The layout of this paper is as follows. Firstly, in section 2, the control technique by force method for cable structures is given. Secondly, section 3 briefly introduces simple cable net in order to apply control technique considering ordering of actuator. Finally, more complex example for effective member and the conclusion are in section 4 and 5, respectively.

Wave Energy Absorption Efficiency of Pneumatic Chamber of OWC Wave Energy Converter (진동수주형 파력발전장치 공기실의 파력에너지 흡수효율)

  • Hong, Key-Yong;Shin, Seung-Ho;Hong, Do-Chun
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.10 no.3
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    • pp.173-180
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    • 2007
  • Oscillating wave amplitude in a bottom-mounted OWC chamber designed for wave energy converter is investigated by applying characteristic wave conditions in Korean coastal water. The effects of shape parameters of OWC chamber in a view of wave energy absorbing capability are analyzed. Both experimental and numerical approaches are adopted and their results are compared to optimize the shape parameters which can result in a maximum power production under given wave distribution. The experiment was carried out in a wave flume under 2-D assumption of OWC chamber. The numerical scheme employed a hybrid Green integral equation which adopts the Rankine Green function inside chamber to take account of fluctuating air pressure, while it uses the Kelvin Green function in outer domain. Air duct diameter, chamber width, and submerged depths of front skirt and back wall of chamber changes the magnitude and peak frequency of wave absorption significantly.

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Seismic Performance of Urban Structures with Various Horizontal Irregularities using Equivalent Static Analysis (다양한 수평비정형성을 갖는 도시구조물의 등가정적해석에 의한 내진성능분석)

  • Cui, Ji Long;Chey, Min-Ho;Kim, Sung-Il
    • Journal of Convergence Society for SMB
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    • v.6 no.1
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    • pp.25-32
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    • 2016
  • With the change and development of modem architecture, architectural configurations are increasingly diversified and irregular. However, the building configurations without proper seismic considerations may cause severe damages under earthquake loads. Therefore, it is necessary to establish and implement more properly classified, specific and advanced conceptual seismic design strategies. This study explores the relationship between building configurations and seismic performance by adopting several horizontal building configurations with various re-entrant corners. For the clear comparison of five different horizontal configuration models, almost aspects of structural properties are equalized. The equivalent static analyses are conducted with the aim of understanding the characteristics of various re-entrant comers under standard earthquake loads. The seismic advantages of regular configuration model are clearly approved and the structural weak points at the re-entrant comers are investigated numerically and graphically.

The Cucumber Cognizance for Back Propagation of Nerual Network (신경회로망의 오류역전파 알고리즘을 이용한 오이 인식)

  • Min, Byeong-Ro;Lee, Dae-Weon
    • Journal of Bio-Environment Control
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    • v.20 no.4
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    • pp.277-282
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    • 2011
  • We carried out shape recognition. We found out cucumber's feature shape by means of neural network and back propagation algorithm. We developed an algorithm which finds object position and shape in real image and we gained following conclusion as a result. It was processed for feature shape extraction of cucumber to detect automatic. The output pattern rates of the miss-detected objects was 0.1~4.2% in the output pattern which was recognized as cucumber. We were gained output pattern according to image resolution $445{\times}363$, $501{\times}391$, $450{\times}271$, $297{\times}421$. It was appeared that no change was detected. When learning pattern was increased to 25, miss-detection ratio was 16.02%, and when learning pattern had 2 pattern, it didn't detect 8 cucumber in 40 images.