A structured object modeling method SOMM and its environment SOME

1996 ◽  
Vol 27 (11) ◽  
pp. 1-18 ◽  
Author(s):  
Minoru Harada ◽  
Takafumi Sawada ◽  
Terutada Fujisawa
2021 ◽  
Vol 2021 (3-4) ◽  
pp. 4-13
Author(s):  
Vladimir Vorob'ev ◽  
Aleksandr Pugachev ◽  
Stepan Kopylov ◽  
Evgeniy Nikolaev

Work objective is to develop a patentable design of locomotive traction drive mechanisms using the example of a suspension unit. Research methods: object modeling method, analytical methods for calculating dynamics of rolling stock. Research results and novelty: the design of the railway electric motor suspension unit, which will reduce costs in the course of maintenance and repair of a locomotive with a solid gear by increasing the reliability of the suspension unit parts, eliminating their wear, has been developed; a compensation coupling device has been devised. We will synthesize the object model of a technical system based on the identification of its typical structure by classifying technical systems. Conclusion: the application of the object modeling method together with the object model allows avoiding errors in the development of new designs of technical objects based on existing comparables and eliminates defects of the selected prototype. The use of the object modeling method makes it possible to synthesize patentable designs of the locomotive underframe mechanisms.


2006 ◽  
Vol 18 (6) ◽  
pp. 738-743 ◽  
Author(s):  
Makito Seki ◽  
◽  
Haruhisa Okuda ◽  
Manabu Hashimoto ◽  
Nami Hirata

In this paper, we propose a new object modeling method for infrared (IR) image. It is based on the modeling method using Gaussian Mixture Model (GMM) that has been originally proposed for general visible image. The original method is one of effective object modeling algorithms that can describe the topological structures of the internal patterns of object. This approach can also eliminate the influences due to small differences between patterns. On the other hand, an IR image is often used instead of visible image in actual applications such as outdoor surveillance. IR images make it easy to extract foreground object regions from background scenes, but their low-contrast makes object modeling difficult. We therefore propose a modeling method using Orientation-Code for IR image. Orientation-Code of each pixel has information about the maximum-gradient orientation of image, not intensity information. Gradient orientation information does not depend on contrast and describes internal pattern structures of objects even in unclear IR images. We also applied proposed method to vehicle detection for outdoor scenes, where it extracts multiple foreground regions as vehicle candidates using background subtraction for IR image, and they are described as models by our method. Models are finally compared with standard vehicle view models pre-memorized to determine which candidate is true vehicle or not. Evaluation tests with actual IR video sequences have proved that our proposed algorithm detects objects robustly.


2012 ◽  
Vol 263-266 ◽  
pp. 1910-1915 ◽  
Author(s):  
Xu Dong Xu ◽  
Jing Wang ◽  
Guan Feng Lv

A kind of modeling method of regular ground object in virtual city was proposed through splicing certain spatial simple geometries based on VC++ and OpenGL, which combining the ground objects’ characteristics with modeling realistic demand. This method firstly generated some basic shapes (cylinder, cone or sphere) which were the constituent parts of regular ground object, by using simplified 3D basic geometry modeling method of OpenGL. Then joined these basic shapes together by doing coordinate transformation to construct the regular ground object. The case of modeling street lamp was taken as an example to introduce the ground object’s modeling methods and visualization technology. The modeling process just need calculating a small number of coordinates, and the amount of data is also very low. Experimental results show that generated models looks very real.


2012 ◽  
Vol 184-185 ◽  
pp. 724-727 ◽  
Author(s):  
Ji Hong Yu ◽  
Xiao Ming Bai ◽  
Jun Wei Lv

Ship modeling is more complicated than any other artificial architecture according to its complicated structure, anomalous formation, all types of surface. Based on analysis on the hull, we studied the skills and methods with three views and lofting technique on the platform of 3ds MAX. Firstly, collect detail parameters and views from Internet, then preprocess orthographic views before establishing reference hull and fragmented curves by lofting technique. At last a complete ship model by combing hull and weapons is established. The simulation result is lifelike; it can provide an attractive experiment environment for Virtual Reality, Object Recognition, Engineering Analysis, etc.


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