With continuous improvement of earth observation technology, source, and volume remote sensing data are gradually enriched. It is critical to realize unified organization form sharing service capabilities for massive effectively. We design a hierarchical multi-dimensional hybrid indexing model (HMDH), address the problems in underlying management, improve query efficiency. Firstly, we establish...

This paper presents the intelligent wheeled mobile robot motion control in unstructured environments. The fuzzy control of a wheeled mobile robot motion in unstructured environments with obstacles and slopes is proposed. Outputs of the fuzzy controller are the angular speed difference between the left and right wheels of the mobile robot and the mobile robot velocity. The simulation results sho...

Pixel classification among overlapping land cover regions in remote sensing imagery is a challenging task. Detection of uncertainty and vagueness are always key features for classifying mixed pixels. This chapter proposes an approach for pixel classification using hybrid approach of Fuzzy C-Means and Particle Swarm Optimization methods. This new unsupervised algorithm is able to identify cluste...

Based on the fully implicational idea, we investigate the interval-valued fuzzy reasoning with multiantecedent rules. First, we construct a class of interval-valued fuzzy implications by means of a type of implications and a parameter on the unit interval, then use them to establish three kinds of fully implicational reasoning methods for the interval-valued fuzzy reasoning with multi-anteceden...

This paper presents an environment for monitoring and control of remote systems. The aim of this work is the development of software for virtual laboratories, and e-learning. The architecture based on a server and multiple clients, runs on a LabView® platform. Remote clients can monitor and control remote process models or real systems linked to the server, via the TCP/IP protocol. The Environm...

Abstract – This paper presents sensor-based intelligent mobile robot navigation in unknown environments. The paper deals with fuzzy control of autonomous mobile robot motion in an unknown environment with obstacles and gives a wireless sensor-based remote control of mobile robots motion in an unknown environment with obstacles using the Sun SPOT technology. Simulation results show the effective...

Intelligent traffic signal control (TSC) system is important for the alleviation of traffic congestion. Usually, most of the researches about TSC focused on single intersection based on type-1 fuzzy set. Compared with type-1 fuzzy logic controller (FLC), type-2 FLC can deal with more uncertainties in the road traffic control system. Therefore, a type-2 FLC optimized by NSGAII (T2-NSGAII) is des...

BACKGROUND Previous studies have demonstrated links between cardiovascular disease and physical inactivity and poor air quality, which are both associated with neighborhood greenness. However, no studies have directly investigated neighborhood greenness in relation to coronary heart disease risk. We investigated the effect of neighborhood greenness on both self-reported and hospital admissions ...

Image fusion is the process of integrating multiple images of the same scene into a single fused image to reduce uncertainty and minimizing redundancy while extracting all the useful information from the source images. Image fusion process is required for different applications like medical imaging, remote sensing, medical imaging, machine vision, biometrics and military applications where qual...

|The problem of assigning labels to objects given some relational constraints is occuring quite often in the eld of pattern recognition. Among the diierent solutions proposed there is a particularly successful one: Relaxation labeling. Relaxation labeling has turned out to be a useful iterative scheme for parallel information integration forcing neighborhood constraint satisfaction. Consequentl...