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In order to adapt to the narrow space and complex branch in deep mine roadway, which have an adverse impact on the accuracy of nodes localization, a self-localization algorithm for deep mine wireless sensor networks based on MDS-MDS and rigid subset (Rigid-MDS) was proposed. The new distributed algorithm divides whole network into some globally rigid subset based on rigid graph theory, in which nodes...
In order to improve fault forecasting model accuracy of back propagation neural network (BPNN), an improved prediction method of optimized BPNN based on Multilevel Genetic Algorithm (MGA) was proposed. We design new chromosome with multilevel structure, improve the encoding mode, fitness function and genetic operator. Which can optimizes the initial values of weights, thresholds and the structure...
This paper presents an intelligent on-line monitoring system based on the elastic wave for damage inspection on overhead transmission lines, the damage location on overhead transmission lines was successfully achieved by Gabor wavelet transform and power spectral density (PSD) technology. An overview of the system is presented, including a signal generation and acquisition system that is the elastic...
To enhance ICP monitoring of Traumatic Brain Injury (TBI) patients, much research effort has been attracted to the development auto-alarming systems and forecasting methods to predict impending intracranial hypertension episodes. Nevertheless, the performance of the proposed methods are often limited by the presence of artifacts in the ICP signal. To address this bottleneck, we propose novel artifact...
Although the future mean of intracranial pressure (ICP) is of critical concern of many clinicians for timely medical treatment, the problem of forecasting the future ICP mean has not been addressed yet. In this paper, we present a nonlinear autoregressive with exogenous input artificial neural network based mean forecast algorithm (ANNNARX-MFA) to predict the ICP mean of the future windows based on...
Intracranial Pressure (ICP) monitoring signal collected in Neuro Intensive Care Units often contains large amount of artifacts. The artifacts not only directly lead to false alarms in automatic Intracranial Hypertension (IH) alert systems, and they also severely contaminate the characteristics of the underlying signal, which makes accurate forecasting of impending IH impossible. Therefore, in this...
The development of earth observation technology has changed the way to obtain eco-environmental information. Through remote sensing images, we can access to various kinds of environmental information about large areas dynamic and rapidly. However, with the expansion of eco-environmental information, the data itself has become the bottleneck for its further use because of its massive and closed nature,...
In recent years, greenhouse technology in agriculture is to automation, information technology direction with the IOT (internet of things) technology rapid development and wide application. In the paper, control networks and information networks integration of IOT technology has been studied based on the actual situation of agricultural production. Remote monitoring system with internet and wireless...
Agent technology and multi-agent theories are widely applied to distributed intelligent control systems. Considering the similarities between an immune system and a multi-agent system, we have proposed an immune agent. The immune agent is an agent with immune mechanisms, such as, cognition, learning, and evolution. And its formalization description is discussed. A model of distributed collaborative...
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