• Title/Summary/Keyword: Intelligent Container

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Position Detection Algorithm for Auto-Landing Containers by Laser-Sensor, Part II: 2-D Measurement (컨테이너의 자동랜딩을 위한 레이저센서 기반의 절대위치 검출 알고리즘: 2차원 측정 (Part II))

  • Hong, Keum-Shik;Lim, Sung-Jin;Kang, Min-Woo
    • Journal of Ocean Engineering and Technology
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    • v.21 no.4
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    • pp.55-60
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    • 2007
  • In contrast to the method in Part I, which is considered to be the general approach, Part II pursues a closed-form solution. However, this closed-form solution is available only in the 2D situation under the assumption that the moving object is restricted to a 2D space, and also requires the use of only two laser-slit sensors. Since the motion of the container loaded on top of an AGV is restricted to a plane parallel to the ground, it can be considered a 2D motion. As a simple method, but with a high cost, the use of a laser scanner is also discussed. Since the approach in Part I already uses three laser-slit sensors, it is desirable to use the schemes presented in Part II for supplementary purposes.

Mathematical Models for Leasing Purchasing Empty Containers (공 컨테이너의 임대 계획을 위한 수리계획모형 및 해법)

  • Park, Sun Wook;Jeon, Su Min;Kim, Kap Hwan
    • Journal of Intelligence and Information Systems
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    • v.12 no.4
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    • pp.39-51
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    • 2006
  • This study addresses how to plan purchasing and leasing of containers to satisfy the demand on containers. The problem can be further decomposed into the long-term planning and the short-term scheduling. The long-term plan specifies the composition of owned containers, long-term leasing containers, and short-term containers. The short-term plan considers the seasonality of demand and determines the time of leasing and the amount of the short-term and the long-term leasing containers. The length of the planning horizon is 10-20 years for the long-term planning, while it is one year for the short-term planning. The time unit is one year for the long-term planning, while it is one month for the short-term planning. This study discusses how to estimate the demand of containers and proposes deterministic models for scheduling purchasing and leasing of containers.

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Effects of Low Temperature on Mechanical Properties of Steel and Ultimate Hull Girder Strength of Commercial Ship (저온환경이 선박 및 해양플랜트용 탄소강재의 재료강도특성 및 상선의 최종 종강도 거동에 미치는 영향)

  • Kim, Do Kyun;Park, Dae Kyeom;Seo, Jung Kwan;Paik, Jeom Kee;Kim, Bong Ju
    • Korean Journal of Metals and Materials
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    • v.50 no.6
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    • pp.427-432
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    • 2012
  • This paper presents the material properties of carbon steels for ships, and offshore structures (ASTM A131) are tested under a series of arctic and cryogenic temperature conditions. For material tension tests, among the ASTM 131 steels, Grades A and B of mild steel and Grade AH of high tensile steel have been used. The obtained mechanical properties of the materials from the material tension tests were applied in a 13,000TEU class container ship to define the effect of low temperature on the ultimate longitudinal strength of the target structure by using the ALPS/HULL intelligent supersize finite element method. The tensile coupon test results showed increased strength and nonuniform fracture strain behaviors within different grades and temperatures. Increasing the material strength resulted in increasing the ultimate longitudinal strength of the ship.

Pixel level prediction of dynamic pressure distribution on hull surface based on convolutional neural network (합성곱 신경망 기반 선체 표면 압력 분포의 픽셀 수준 예측)

  • Kim, Dayeon;Seo, Jeongbeom;Lee, Inwon
    • Journal of the Korean Society of Visualization
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    • v.20 no.2
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    • pp.78-85
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    • 2022
  • In these days, the rapid development in prediction technology using artificial intelligent is being applied in a variety of engineering fields. Especially, dimensionality reduction technologies such as autoencoder and convolutional neural network have enabled the classification and regression of high-dimensional data. In particular, pixel level prediction technology enables semantic segmentation (fine-grained classification), or physical value prediction for each pixel such as depth or surface normal estimation. In this study, the pressure distribution of the ship's surface was estimated at the pixel level based on the artificial neural network. First, a potential flow analysis was performed on the hull form data generated by transforming the baseline hull form data to construct 429 datasets for learning. Thereafter, a neural network with a U-shape structure was configured to learn the pressure value at the node position of the pretreated hull form. As a result, for the hull form included in training set, it was confirmed that the neural network can make a good prediction for pressure distribution. But in case of container ship, which is not included and have different characteristics, the network couldn't give a reasonable result.

An SD Shaper to Suppress Residual Vibration at an Arbitrarily Specified Duration (임의 성형시간에 잔류진동을 제거할 수 있는 SD성형기)

  • Brian Byunghyun Kang
    • The Journal of Korea Robotics Society
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    • v.18 no.1
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    • pp.127-134
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    • 2023
  • Recently, various input shapers have been introduced to reduce residual vibrations of flexible robots. However, there have been no studies on the design of an input shaper that can suppress residual vibration at an arbitrarily specified duration. In this paper, a novel input shaper called an SD (specified-duration) shaper is proposed for an undamped or underdamped system, which can suppress residual vibration at an arbitrarily given specified duration. If the specified duration is larger than a half period, a positive SD shaper composed of all positive impulses is designed, and if the specified duration is smaller than a half period, a negative SD shaper including a negative impulse is designed. As the specified duration is increased every half period after a half period, the number of impulses of the positive SD shaper is increased one by one, and the robustness of the SD shaper to modeling errors is increased. The performance of the SD shaper is analyzed through simulation studies for an undamped and underdamped second-order systems. The validity of the SD shapers is demonstrated experimentally using an experimental device that can generate container transport motions.

Development of Gate Non-stop system using RFID(900MHz) Technology (RFID(900MHz) 기술을 이용한 GATE 무정차 시스템 개발)

  • Choi, Gi-Jin;Kim, Young-Mi;Choi, Jae-Sin;Lee, Chang
    • 한국ITS학회:학술대회논문집
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    • 2008.11a
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    • pp.570-574
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    • 2008
  • The 'gate non-stop system utilizing RFID (900MHz)', which is the core of this research, is the system which connects RFID to recognize the vehicle information without stopping when a vehicle (trailer) passes a gate to carry in or out containers in a terminal and automatically provides the container information provided by the terminal for the RFLDU device installed in the vehicle.In order to design and implement this, the RFID technical section uses a UHF band (900MHz) RFID tag and a reader and implements a RFID middleware and an application program for smooth data collection and execution (operation). In addition, the system stability was verified through experiments and operations of the system implemented in this research at real harbors/quays, and based on the verified result, the maximization of vehicle (trailer) and terminal productivity and the reduction of distribution cost are expected.

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Optimal Mixed Storage Methods Considering Rehandles of Inventories (재취급을 고려한 최적 혼적결정법)

  • Yang, Jee Hyun;Kim, Kap Hwan;Won, Seung Hwan
    • Journal of Intelligence and Information Systems
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    • v.12 no.3
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    • pp.33-46
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    • 2006
  • In order to decrease the number of handles, speed up retrieval operations, and manage products efficiently, the investment of facilities such as the installation of the storage equipment and the enlargement of the storage area may be attempted. However, the same objectives can be accomplished by utilizing the existing storage area efficiently. In many types of storage facilities, because of the limitation of storage areas, products are usually piled up, which may cause rehandles of inventories. Rehandles influence significantly the handling efficiency of warehouses. This study develops methods for minimizing rehandles of inventories to improve the operational efficiency of warehouses. A mixed storage problem is addressed for minimizing the expected number of rehandles. Optimization models are proposed and the genetic algorithm is applied to solve the problem.

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