LEACH is a traditional clustering routing protocol in wireless sensor network. When selecting the cluster head, Leach does not consider sensor nodes’ energy and position information. It leads to uneven the distribution of cluster heads and uneven energy consumption of sensor nodes. Clustering routing protocols which are based on particle swarm optimization have been proposed to improve the perf...

Uneven and Nonuniformity (Mura) of Thin Film Transistor Liquid Crystal Display (TFT-LCD) is a major problem of cell phone display. The different types of uneven and nonuniformity are decreased the performance of TFT-LCD. To economize and increase its performance, it is necessary to detect these kinds of defects. The cause of these types of noisy defects can be stimulated by the material of TFT,...

Batched stream processing systems achieve higher throughput than traditional stream processing systems while providing low latency guarantee. Recently, batched stream processing systems tend to be deployed in cloud due to their requirement of elasticity and cost efficiency. However, the performance of batched stream processing systems are hardly guaranteed in cloud because static resource provi...

Image segmentation is one of the most important steps before the image data analysis, which divided the image into several areas that have strong similarity. With the more and more widely application of the mesh fabric, the quality requirements are more stringent. As the impact of uneven illumination, the image brightness is inconsistent, which bring a great difficulty to the image segmentation...

Planetary rover should be designed so that it can travel on uneven terrains robustly under several limitations such as size, weight, costs, etc. However, it is difficult to get precise or whole terrain information beforehand to check the performance of the designed rover. In this paper, we propose a simulation model of uneven terrains based on fractional Brownian motions (fBm’s) for evaluating ...

Local thresholding methods for uneven lighting image segmentation always have the limitations that they are very sensitive to noise injection and that the performance relies largely upon the choice of the initial window size. This paper proposes a novel algorithm for segmenting uneven lighting images with strong noise injection based on non-local spatial information and intuitionistic fuzzy the...