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Context based recognition system, which can improve the accuracy of scene recognition if robots cannot obtain adequate recognition features in the camera, has attracted researchers recently. However, there are few researches which focus on part-whole supplement system based on context which can describe the scene using detail parts in the scene and also reduce the ambiguity of each detail part using...
In multi-attribute group decision making, The weights of experts directly affect group decision making. In this paper, from an objective point of view, An adjustment method of experts' weights is proposed on the basis of concrete judgement abilities of experts. Furthermore, a new uncertain multi-attribute group decision method is put forward, Finally, an example verifies its validity.
A new method is presented which combines a deterministic analytical method and a probabilistic measure to classify rock types on the basis of their hyperspectral curve shape. This method is a supervised learning algorithm using Gaussian Processes (GPs) and the Observation Angle Dependent (OAD) covariance function. The OAD covariance function makes use of the properties of the Spectral Angle Mapper...
Accurate land use/cover (LUC) classification data derived from remotely sensed data are very important for land use planning and environment sustainable development. Traditionally, statistical classifiers are often used to generate these data, but these classifiers rely on assumptions that may limit their utilities for many datasets. Conversely, artificial neural network (ANN) and decision tree (DT)...
Network security has become a major concern in recent years. In this research, we present an entropy-based network traffic profiling scheme for detecting security attacks. The proposed scheme consists of two stages. The purpose of the first stage is to systematically construct the probability distribution of relative uncertainty for normal network traffic behavior. In the second stage, we use the...
This paper explores a sensor fusion method within Smart Homes to be used to monitor human activities in addition to managing uncertainty in sensor based readings. A case study has shown that the Dempster-Shafer theory of evidence can incorporate the uncertainty derived from the sensor errors and the sensor context and infer the activity. The results from this work show that this method can detect...
Aiming at the choice of a method for the field strength prediction over irregular terrain in land mobile radio service which could be adopted as the most suitable for engineering purposes, six out of the known methods have been analyzed. To verify their prediction accuracy, complex field tests have been carried out. With the moving vehicle, the field strength has been measured along well defined path...
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