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Recently, simulated annealing algorithms have widely been applied to many structural optimization problems. In this paper, simulated annealing, boltzmann annealing, fast annealing and adaptive simulated annealing optimize truss structures for improving quality of objective functions and reducing number of function evaluations. These algorithms are classified by cooling schedule. In this paper, many parameters have been applied for ASA's cooling schedule. The influence of cooling schedule parameters on structural optimization obtained is discussed. In addition, cooling schedule of BA and ASA mixed is applied to 10 bar-truss structure.
The air brake chamber is needed higher sealing performance and durability for the safety andconfidential operation, especially, in brake systems of commercial vehicle. For higher sealing, we appliednew clamping technique differentiated methods of other global manufacturers. And we developed thepower spring and spring guide made from light engineering plastic with high durability in repeatedcondition. We also have achieved the basic performance test like sealing test in compressed air andvarious environment tests in dust and salty water for new manufactured air brake chambers. As a result,the air brake chamber applied light weight and high durable power spring is satisfied all demandspecification conditions for commercial vehicle.
Recently there have been many efforts to support searching and browsing based on the visual content of image and multimedia data. Most existing approaches to content-based image retrieval rely on query by example or user based low-level features such as color, shape, texture. But these methods of query are not easy to use and restrict. In this paper we propose a method for automatic color object extraction of content-based image retrieval system. Theses approaches simplify the regions within images using similar colorizing algorithm and extract color object using proposed Color and Spatial based Binary tree map(CSB tree map). This allows very fast indexing of the image by color contents of the images and spatial attributes. Futhermore, information about the labelled regions, such as the color set, size, and location, enables variable multiple queries that combine both color content and spatial relationships of regions. We proved our proposed system to be high performance through experiment comparable with another algorithm using "Washington" image database.
In this paper, We propose a user friendly object-based multimedia retrieval system using the HCNN(HippoCampus Neural Network). Most existing approaches to content~based retrieval rely on query by example or user based low-level features such as color, shape, texture. In this paper we perform a scene change detection and key frame extraction for the compressed video stream that is video compression standard such as MPEG. We propose a method for automatic color object extraction and ACE(Adaptive Circular filter and Edge detection) of content-based multimedia retrieval system. And we compose multimedia retrieval system after learned by the HCNN such extracted features. Proposed HCNN makes an adaptive real-time content-based multimedia retrieval system using excitatory learning method that forwards important features to long-term memories and inhibitory learning method that forwards unimportant features to short-term memories controlled by impression.