Autor: Shen, W - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Group-Bay stowage planning problem for container ship
Autorzy:: Shen, Y.
Zhao, N.
Mi, W.
Powiązania:: https://bibliotekanauki.pl/articles/258722.pdf
Data publikacji:: 2016
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:: container terminal
Group-Bay stowage plan
terminal stowage plan
hybrid GA
Opis:: Stowage planning is the core of ship planning. It directly influences the seaworthiness of container ship and the handling efficiency of container terminal. As the latter step of container ship stowage plan, terminal stowage planning optimizes terminal cost according to pre-plan. Group-Bay stowage planning is the smallest sub problem of terminal stowage planning problem. A group-bay stowage planning model is formulated to minimize relocation, crane movement and target weight gap satisfying both ship owner and container terminal. A GA-A* hybrid algorithm is designed to solve this problem. Numerical experiment shown the validity and the efficiency.
Źródło:: Polish Maritime Research; 2016, S 1; 152-159
1233-2585
Pojawia się w:: Polish Maritime Research
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: A positioning lockholes of container corner castings method based on image recognition
Autorzy:: Shen, Y.
Mi, W.
Zhang, Z.
Powiązania:: https://bibliotekanauki.pl/articles/259938.pdf
Data publikacji:: 2017
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:: lockholes of container corner
HSV
lockholes positioning
hough transformation
Opis:: This article proposes a method of locating and recognizing lockholes in shipping container corner castings. This method converts the original image of the containers captured by a camera into the HSV (Hue, Saturation, Value) color space. To reduce the influence of the surface color of the containers and lights from the environment on the locating and recognizing algorithm, most noisy points of the image are filtered by binarization and a morphology opening operation to make the features of the containers clearer in the image. Thus, the container body can be separated from the total image. Then, the position and size of the corner castings are defined through calculation based on the international standard of the shipping container size. Lastly, by using this method, we can locate the corner casting in the image by using the General Hough Transform fitting algorithm onto ellipses.
Źródło:: Polish Maritime Research; 2017, S 3; 95-101
1233-2585
Pojawia się w:: Polish Maritime Research
Dostawca treści:: Biblioteka Nauki

Artykuł

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