Papers by Keyword: Cluster

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Authors: An Min Xie, Peng Cheng
Abstract: The terminal area is always a hot research topic by aviation experts all over the world. As the rapid growth of the demand of air transportation, the terminal area becomes busier than ever. The results are flight delays and cancellations. One of the solutions is to design a 4D trajectory for each flight. Under the four dimensional operation, the flights can fly more precisely and be arranged more closely so that the terminal area can hold more aircrafts. With the development of the technology of communication, navigation and surveillance, the flight of four-dimensional operation is possible. This paper presents a data-based method of 4D approach trajectory design in terminal area.
Authors: Yong Heng Ning, Xiao Bing Yang, Kang Jian Wang
Abstract: For the clustering problem of wide difference that cannot be solved by K-means, an improvement clustering algorithm (CBG, clustering based on gravitation) is proposed in this paper. The clustering algorithm simulates the law of universal gravitation, which is that stars with heavy mass tend to show a stronger attraction to floating objects than those with less mass. Some experiments have done in this paper for this problem, and the results show that this algorithm can obtain better clustering result for this case.
Authors: Ying Liao, Wei Xu Hao
Abstract: Wireless sensor networks (WSNs) detect and monitor the outside physical state by the sensor nodes organizing automatically. Utilizing clustering algorithm to form hierarchical network topology is the common method which implements managing network and aggregating data in WSNs. Different from the previous clustering algorithms, this article proposes a clustering algorithm for WSNs based on distance and distribution to generate clusters considering residual energy of nods in WSNs with inhomogeneous distribution. The simulation result indicates that the algorithm can establish more balanceable clustering structure effectively and enhance the network life cycle obviously.
Authors: Zuo Jin Hu, Yu Quan Jiang
Abstract: By means of self-organizing clustering, a new color-based image retrieval method is proposed in the paper. According to the colors’ distributing information in the image, every pixel is assigned a weighing value and thus the initial number of clustering can be confirmed. Therefore, those weighed pixels are clustered and the dominant colors’ statistical features are acquired. Based on the dominant colors spread in the image, the colors’ moment features are extracted to present their spatial features simultaneously. Therefore, the whole image’s content can be expressed from general statistic to partial distributing by the two kinds of features. The experiments verify the method mentioned above more efficiently than those ways based on color histogram
Authors: Yan Wei, Jia Xin Xu, Xiao Mei Yuan, Xiao Hui Zheng
Abstract: We have studied the structures and electronic properties of PdCn (n=2-12) using the density functional theory in this paper. Though calculating, we found that the linear isomers are most stable for PdCn(n=2-9) clusters. N=10 is turning point, and the bicyclical structure is most stable for PdC10 cluster. Cyclic structures have the lowest energy for PdC11 and PdC12 clusters.
Authors: Wen Chen, Tao Li, Xiao Jie Liu, Yuan Quan Shi
Abstract: In this article, we proposed a negative selection algorithm which based on hierarchical level cluster of self dataset CB-RNSA. First the self data set is clustered by different cluster radius, and then the self data are substituted by cluster centers to compare with candidate detectors to reduce the number of distance counting. In the detector creating process, the value of each detector property was restricted to a given value range so as to decrease the redundancy of detectors. The stimulation result shows that CB-RNSA is an effective algorithm for the creation of artificial immune detectors.
Authors: Yo Tomota, K. Ikeda, Mayumi Ojima, Junichi Suzuki, Takashi Kamiyama
Authors: Li Qiang Chen
Abstract: In wireless sensor network, node’s energy is limited. The energy consumption of transmission a bit is larger than that of handle a bit. If it adopt effective routing algorithm, it can greatly improve the energy efficiency of wireless sensor network. In order to improve the energy efficiency of wireless sensor network in the large area, we propose a clustering routing algorithm based on energy, the algorithm realize the multi-hops communication between cluster heads by dividing the WSN area into concentric rings, and reduce the size of radius of the clusters gradually when the nodes’ energy is decreasing slowly. The results of simulation show that the algorithm can effectively prolong the network lifetime.
Authors: Hong Guo Cai, Chang An Yuan
Abstract: To further solve the expansion performance problems of collaborative filtering technology. Firstly, form a few better center areas by using density partition and numerical distance between objects. Then, use the gene expression programming(GEP) to find the cluster centers. Propose a cluster algorithm of Density-based methods GEP-Cluster (DGEPC) to solve the nearest neighbor problem. Push the GEP technology for the Personalization Recommendation system.
Authors: Abdoulaye Diop, Yue Qi, Qin Wang
Abstract: WSN comprise of large number of sensor nodes with different hardware abilities and functions. Due to the limited memory resources and energy constraints, complex security algorithms cannot be used in sensor networks. Therefore, it is necessary to well balance between the security level and the associated energy consumption overhead to mitigate the security risks. In this paper, we present A Novel Key Management Scheme for Cluster Based Wireless Sensors Networks (NKMS). The security analysis demonstrates that NKMS is an effective solution to the key management of cluster based wireless sensor networks.
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