Nowadays,many researches study the negotiation-based order allocation problem in the supply chain environment,aiming to improve the efficiency of the allocation and the profits of the supply chain *** competition and ...
详细信息
ISBN:
(纸本)9781538629185
Nowadays,many researches study the negotiation-based order allocation problem in the supply chain environment,aiming to improve the efficiency of the allocation and the profits of the supply chain *** competition and cooperation in supplier’s side are mainly addressed because of independent *** this paper,we analyze an interdependent order allocation problem in a two-echelon supply *** supply chain consists of a manufacturer echelon and a supplier *** to the interdependence,both the competition and cooperation in the manufacturer echelon are *** agent-based negotiation algorithm is developed to support the order allocation process and the conflicts *** show in experiments that orders under various supply chain contexts can be successfully allocated through the algorithm.
To solve the problem of the “soft-field” effect and the proximity of sensitivity matrix in electrical capacitance tomography technology, an image reconstruction algorithm based on least squares support vector machin...
详细信息
A fast moving object detection algorithm is presented based on sorted block's compensated difference. First, global motion estimation is applied based on feature points matching. The iteration of minimum sum of pl...
详细信息
In general, emergency satellite commanding and consultation system should include the commanding system, the consultation system, the mobile communication system, the microwave transferring systems and the information...
详细信息
Using reasonable and efficient autonomous technology for path planning can effectively improve the safety of ship navigation and can reduce human errors of maritime accidents. The planned path by A* algorithm is flawe...
详细信息
Augmented reality is the merging of synthetic sensory information into a user's perception of a real environment. As one of the most important tasks in augmented scene modeling, terrain simplification research has...
详细信息
Augmented reality is the merging of synthetic sensory information into a user's perception of a real environment. As one of the most important tasks in augmented scene modeling, terrain simplification research has gained more and more attention. In this paper, we mainly focus on point selection problem in terrain simplification using triangulated irregular network. Based on the analysis and comparison of traditional importance measures for each input point, we put forward a new importance measure based on local entropy. The results demonstrate that the local entropy criterion has a better performance than any traditional methods. In addition, it can effectively conquer the 'short-sight' problem associated with the traditional methods.
Because of wide variation in gray levels and particle dimensions and the presence of many small gravel objects in the background, as well as corrupting the image by noise, it is difficult o segment gravel objects. In ...
详细信息
Because of wide variation in gray levels and particle dimensions and the presence of many small gravel objects in the background, as well as corrupting the image by noise, it is difficult o segment gravel objects. In this paper, we develop a partial entropy method and succeed to realize gravel objects segmentation. We give entropy principles and fur calculation methods. Moreover, we use minimum entropy error automaticly to select a threshold to segment image. We introduce the filter method using mathematical morphology. The segment experiments are performed by using different window dimensions for a group of gravel image and demonstrates that this method has high segmentation rate and low noise sensitivity.
Traditional interest points based image retrieval methods employed local features of interest points to describe image. The difference between local areas of interest points and the region of interest limited the retr...
详细信息
Traditional interest points based image retrieval methods employed local features of interest points to describe image. The difference between local areas of interest points and the region of interest limited the retrieval accuracy. Considering the shape characteristic of interest points, this paper presented a new image retrieval method based on region of interest determined by interest points. Firstly, interest points were detected by tracking wavelet coefficients of different scales. Secondly, the convex hull of interest points was calculated to extract the region of interest in the image. Then color and shape features of the region were used to describe an image. Finally, the weighted feature distance was used to define the similarity between two images. With robustness to image rotation, translation and scale, the method makes the retrieval implementation at the object level and avoids the shortcoming of traditional methods. Lots of experiments based on an image database containing 1100 images show that the method improves the average retrieval precision over 11.1 percent, compared with other interest points based retrieval methods.
A variant of spiking neural P systems was recently investigated by the authors, using astrocytes that have excitatory and inhibitory influence on synapses. In this work, we consider this system in the non-synchronized...
详细信息
In order to solve the problem of under-segmentation in traditional superpixel methods, a new image segmentation framework is proposed, which is based on gradient ascent including Simple Linear Iterative Clustering (SL...
详细信息
暂无评论