• Title/Summary/Keyword: Vessel Extraction

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Development of Remote Radar/AIS Network System for Observing and Analyzing Vessel Traffic in Tokyo Bay

  • Hagiwara, Hideki;Shoji, Ruri;Tamaru, Hitoi;Liu, Shun;Okano, Tadashi
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.1
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    • pp.151-156
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    • 2006
  • Accurate vessel traffic observation is indispensable to carry out vessel traffic management, design of vessel traffic route, planning of port construction, etc. In order to observe the vessel traffic accurately without many efforts such as the use of a ship or car equipped with special radar observation system and the preparation of observation staff, the authors have been developing completely automated remote radar/AIS network system covering the main traffic area in Tokyo Bay. The composite radar image observed at Yokosuka and Kawasaki radar stations with AIS information can be seen on web site of Internet. In addition to the development of radar/AIS observation system, the software to analyze observed vessel traffic flow has been developed. This software has various functions such as automatic tracking of ship's positions, automatic estimation of ship's size, automatic integration of radar image and AIS data, animation of ships' movements, extraction of dangerous ship encounters, etc. The configuration and functions of the developed remote radar/AIS network system are shown first in this paper. Then various functions of the software to analyze vessel traffic are introduced, and some analyzed results on the vessel traffic in Tokyo Bay are described demonstrating the effectiveness of the developed system.

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Pattern Recognition of Ship Navigational Data Using Support Vector Machine

  • Kim, Joo-Sung;Jeong, Jung Sik
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.15 no.4
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    • pp.268-276
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    • 2015
  • A ship's sailing route or plan is determined by the master as the decision maker of the vessel, and depends on the characteristics of the navigational environment and the conditions of the ship. The trajectory, which appears as a result of the ship's navigation, is monitored and stored by a Vessel Traffic Service center, and is used for an analysis of the ship's navigational pattern and risk assessment within a particular area. However, such an analysis is performed in the same manner, despite the different navigational environments between coastal areas and the harbor limits. The navigational environment within the harbor limits changes rapidly owing to construction of the port facilities, dredging operations, and so on. In this study, a support vector machine was used for processing and modeling the trajectory data. A K-fold cross-validation and a grid search were used for selecting the optimal parameters. A complicated traffic route similar to the circumstances of the harbor limits was constructed for a validation of the model. A group of vessels was composed, each vessel of which was given various speed and course changes along a specified route. As a result of the machine learning, the optimal route and voyage data model were obtained. Finally, the model was presented to Vessel Traffic Service operators to detect any anomalous vessel behaviors. Using the proposed data modeling method, we intend to support the decision-making of Vessel Traffic Service operators in terms of navigational patterns and their characteristics.

Object Extraction Technique Adequate for Radial Shape's RADAR Signal Structure (방사선 레이다 신호 구조에 적합한 물체 추적 기법)

  • 김도현;박은경;차의영
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.7
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    • pp.536-546
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    • 2003
  • We propose an object extraction technique adequate for the radial shape's radar signal structure for the purpose of implementing ARPA(Automatic Radar Plotting Aid) installed in the vessel. The radar signal data are processed by interpolation and accumulation to acquire a qualified image. The objects of the radar image have characteristics of having different shape and size as it gets far from the center, and it is not adequate for clustering generally. Therefore, this study designs a new vigilance distance model of elliptical shape and adopts this model in the ART2 neural network. We prove that the proposed clustering method makes it possible to extract objects adaptively and to separate the connected objects effectively.

Microwave-assisted extraction of paclitaxel from plant cell cultures (Microwave를 이용한 식물세포배양으로부터 paclitaxel 추출)

  • Hyun, Jung-Eun;Kim, Jin-Hyun
    • KSBB Journal
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    • v.23 no.4
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    • pp.281-284
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    • 2008
  • A simple and efficient microwave-assisted extraction procedure was developed and optimized for the extraction of paclitaxel from the plant cell cultures of Taxus chinensis. The biomass, immersed in a methanol-water mixture, was irradiated with microwaves in a closed-vessel system. The microwave-assisted extraction was compared with the existing conventional solvent extraction in terms of yield, extraction time, and solvent consumption. The use of microwave energy allows rapid recovery of paclitaxel from biomass and dramatically reduces extraction time and solvent usage compared to conventional solvent extraction. The paclitaxel was completely extracted from biomass by microwave-assisted extraction for 3 min at $50^{\circ}C$, for 6 min at $30^{\circ}C$ and $40^{\circ}C$, respectively.

A Study on Large Scale FEM for Structural Analysis of a Crane Vessel Using Superelement Technique (슈퍼요소기법을 이용한 대규모 유한요소법의 크레이선 구조해석 적용 연구)

  • 조규남;장영식;이지현
    • Computational Structural Engineering
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    • v.7 no.3
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    • pp.143-152
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    • 1994
  • Superelement technique for structural analysis of large scale objects such as airplanes or vessels is effective especially in the harsh hardware environments. In this paper, a crane vessel of OHI 5000 which is capable of lifting 5000 tons in tie-backs and capable of revolving with 3000 tons is investigated in the view point of structural safety using superelements through the substructure scheme. Also an effective substructure procedure, a unique load extraction method and finite element modeling technique are demonstrated. Comprehensive reinforcement blueprints are derived based on the analysis results. Successful application of substructure technique is achieved through the structural analysis of the crane vessel. The analysis technique developed in this paper can be a guideline for similar large scale structures' relevant safety identification.

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Fractional Extraction of DHA and EPA by Supercritical Fluid (DHA와 EPA에 대한 초임계 유체의 분할추출)

  • Hur, Byung-Ki;Noh, Duck-Woo
    • KSBB Journal
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    • v.14 no.6
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    • pp.655-660
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    • 1999
  • Supercritical fractional extraction of DHA and EPA from the mixture of fatty acids composing the fish oil was performed. The compositions, extracted quantities, and cumulative extracted quantities of fatty acids in the extract and the raffinate were investigated according to the fractional steps. The temperature and pressure for the miximum concentration of DHA and EPA in the extract or the raffinate were 60$^{\circ}C$ and 101 bar respectively among the extraction conditions considered in this study. In this case, the weight percent of EPA in the extract was 50% and that of DHA in the raffinate was 40%. These values were two times higher than those in fish oil. THe same temperature and pressure were used to extract DHA and EPA from the mixture of fatty acids whose the initial weight percent of DHA was 34%. The weight percent of DHA in the raffinate after the fourth fractionation was 7-%. And the remaining weight of DHA in the raffinate was 80% of DHA initially loaded in the extraction vessel.

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Separation of Aromatics in Light Cycle Oil by Solvent Extraction - Re-extraction of Aromatics in Extract Phase - (용매 추출법에 의한 분해경유중의 방향족 분리 -추출상중의 방향족의 역수출-)

  • Kim, Su Jin;Kim, Duk-Hyun
    • Applied Chemistry for Engineering
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    • v.8 no.6
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    • pp.967-972
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    • 1997
  • Recovery of aromatics in extract phase which was obtained by batch equilibrium extraction between light cycle oil(LCO) and dimethylsulfoxide(DMSO) solution as solvent was investigated by re-extraction. To select the most suitable re-extraction solvent for recovery of aromatics in extract phase, distribution equilibrium was measured between extract phase and solvents. The solvents used were benzene(B), toluene(T), m-Xylene(mX), n-hexane(Hx) and n-hexane(Hx) and n-Octane(Ot). From the distribution coefficients and yields of aromatics, Hx seemed to be the most suitable. Furthermore, effects of operation parameters for re-extraction of aromatics in the extract phase were studied by batch equilibrium re-extracion with Hx as solvent. Yields of aromatics were found to increase with increasing solvent/feed (extract phase) mass ratio(S/F), while distribution coefficients of aromatics were fixed irrespective of S/F used. Operating temperature did not affect distribution coefficients and yields of aromatics. Distibution coefficients and yields of naphthalene group(carbon numer : 10~12) increased with increasing cabon number. Mass transfer rates of aromatics were also measured with a batch stirred vessel.

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Mass Transfer of Lysozyme Extraction Using Reversed Micelles (역미셀을 이용한 Lysozyme 추출에 대한 물질 전달)

  • 전병수;김석규;윤성옥;송승구
    • KSBB Journal
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    • v.16 no.3
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    • pp.241-245
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    • 2001
  • Mass transfer rates have been measured for the extraction of enzyme from aqueous solution into a reverse-micelle phase at $25^{\circ}C$. The 420 mL vessel was carefully designed to maintain a planar interface between the aqueous and solvent phases, so allowing precise measurement of interfacial area, has been investigated. Sodium di-2-ethylhexyl sulfosuccinate(AOT) was the surfactant used. Factors varied included: agitator speed, pH, ionic strength and surfactant concentration. Samples were taken from the solvent phase at 15min intervals, and the amount of enzyme extracted was measured by UV absorption at 280 nm. The observed Sherwood numbers for the aqueous phase $Sh_1$were correlated interms of the aqueous phase Reynolds number $Re_1$, and modified Schmidt number $Sc_1$. $Sh_1=0.664Re_1^{0.5}Sc_1^{0.33}$

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Extraction and Shape Description of Feature Region on Ocular Fundus Fluorescein Angiogram (형광 안저화상에 관한 특수 영역의 유출 및 모양)

  • Go, Chang-Rim;Ha, Yeong-Ho;Kim, Su-Jung
    • Journal of Biomedical Engineering Research
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    • v.8 no.1
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    • pp.81-86
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    • 1987
  • An image feature extraction method for the low contrast fluoresceln angiogram in dlabetes was studied. To obtain effective image segmentation, an adaptive local difference image is generated and relaxation process are applied to this difference Image. By the use of distance transformed data with segmented image, shape and location of feature regions were obtained. It was shown that the location and shape descriptions of Impaired blood vessel networks and retinal regions are can he utilized for the diagnosis of diabetes and other disease.

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Automatic Tracking of Retinal Vessels by Analyzing Local Feature Points in IndoCyanine Green Retinal Images (ICG 망막영상에서 국부적 특징점 분석에 의한 혈관의 자동 추적)

  • Lim, Moon-Chul;Kim, Woo-Saeng
    • Journal of KIISE:Software and Applications
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    • v.29 no.3
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    • pp.202-210
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    • 2002
  • During the last few years, the extraction and reconstruction of the blood vessels in the medical image has been actively researched and the analysis for the retinal vessel structure has provided important information for diagnosis and remedy of the retinopathy patients. In this research, we propose the algorithm that tracks automatically the entire retinal vessel in retinal image acquired by the ICG(IndoCyanine Green) technology. This algorithm extracts contours and centers by estimating the local maxima and processing directions and detects bifurcations and junctions by comparing direction components of the local maxima from the gradient magnitude profile of each blood vessel. We present experimental results that the entire blood vessel is automatically reconstructed and is excellent in accuracy and connectivity after applying our algorithm to the ICG retinal images of patients.