Segmentation of weather imagery is a problem fundamental to automated weather analysis, but one that has defied good solutions. Weather images have certain characteristics that cause problems for traditional image processing algorithms – the textural nature of clouds, poor dynamic range and poor spatial resolution. In this paper, we describe a novel method of performing multiscale, hierarchical...

Generally, the existing Intrusion Detection Systems (IDS) solutions suffer from low detection accuracy for some attack types compared with overall of attacks. The data imbalance technically affects ratio frequent attacks class (e.g. zero-day attack) to more instances. Therefore, IDS-based machine learning algorithms potentially high false-positive rates. To overcome limitation solutions, a hype...

In this paper we introduce a general framework for hierarchical clustering that deals with both static and dynamic data sets. From this framework, different hierarchical agglomerative algorithms can be obtained, by specifying an inter-cluster similarity measure, a subgraph of the β-similarity graph, and a cover algorithm. A new clustering algorithm called Hierarchical Compact Algorithm and its ...

Task scheduling in Grid environment is a challenging problem because of NP-complete nature of scheduling issue and dynamic characteristic of the environment. Not constrained by local scheduling policy of Grid site, a dynamic service evaluation method based on cloud model is presented. Then we obtain performance metrics of dynamic service. According to dynamic service evaluation, an adaptive and...

A Mobile ad hoc Network is an autonomous network comprised of free roaming nodes which communicate wireless by radio transmission. MANETs are already ubiquitous and their range of use will spread in the near future. In this thesis proposed an efficient dynamic clustering protocol for MANET. In our dynamic clustering protocol have five state interactions. These are un-clustered state, orphan sta...

Permeability, the ability of rocks to flow hydrocarbons, is directly determined from core. Due to high cost associated with coring, many techniques have been suggested to predict permeability from the easy-to-obtain and frequent properties of reservoirs such as log derived porosity. This study was carried out to put clustering methods (dynamic clustering (DC), ascending hierarchical clustering ...

【Abstract】We describe a new approach to clustering of amino acid sequences using K-Medoids Method. This method combines K-Medoids method, Dynamic Programming and other new theories in Biology. Experiments have proved that our method can get satisfying results. We believe that the method we proposed in this paper is a powerful and flexible tool for clustering of amino acid sequences. 【Keywords】C...