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The application of autonomous systems is on an increase, and there is the need to optimize the fit between humans and these systems. While operators must be aware of the autonomous systems dynamic behaviors, the autonomous systems must in turn base their operations, among other things, on an ongoing knowledge of operators' cognitive state, and its application domain. Psychophysiology allows for the...
Wireless Industrial Automation Networks may comprise large number of sensors and actuators which are densely deployed in various parts of an industry to monitor and control physical parameters like pressure, temperature, humidity, flow, level, density etc.by utilizing IEEE 802.15.4 standard. Typically, a sensor node consists of sensing subsystem for data acquisition, processing subsystem for data...
Anesthesia is a vital and important part of any surgical practice and allows doctors to operate safely and painlessly on a patients. The wide variety of available anesthetics allows anesthesiologists to select the most suitable type of anesthesia and anesthetic drug for a patient. Providing balanced anesthesia by testing the depth of anesthesia (DOA) is a way to know sudden awareness or increasing...
Companies are involved in a high competition for reducing the cost of production in order to maintain their market shares. Since the costs of maintenance contribute a substantial portion of the production costs, companies must budget maintenance effectively. Machine deterioration prognosis can decrease the costs of maintenance by minimizing the loss of production due to machine breakdown and avoiding...
Water quality model is a useful tool to evaluate the future state of river water through evaluation of actual pollution loading or different management options. Based on the human brain physiology research, artificial neural network(ANN), which simulates the structure and mechanism of the human brain, is a kind of dynamic information processing system that eventually achieves certain functions of...
The number of super-long road constructing tunnels are increased sharply. How to improve service manage and damage prevention. It is a hot problem that the department of expressway road tunnel and service are concerned. Damage prevention of super-long road tunnel is a comprehensive system that it is technology and control. This paper achieves the function that the data is preserved, statistically...
Considering the difficulties of calculation and the defects that the relationship among evaluation objects are ignored when using Fuzzy synthetic Evaluation Method to determine weights to the multi-factors, this paper put forward a new idea of determining weights to the Multi-objective evaluation factors using information entropy. The differences of determining weights using Entropy method and the...
Water quality evaluation is an important basic work for the water environmental management and protection. This paper presents a new water quality monitoring method based on principal component analysis-wavelet neural network combined model. First, the establishment of water quality evaluation index system, and then using principal component analysis to remove the relevance, overlap information of...
Using the measured frequency response function (FRF) data, a novel algorithm for structural health monitoring is proposed based on the principal component analysis (PCA) in this paper. First, the measured FRF data for a structure in both the healthy and the damaged states are used as the initial data. A PCA transformation is performed to obtain the features of an intact structure, in which an orthogonal...
Damage diagnosis and health monitoring of large-scale structures are becoming a hot research subject in the present structural engineering circle. Aimed at many operating safe problems of hydraulic structure, a method applied to radial gate is put forward. This method is an aggregation of vibration theory, neural networks and pattern identification, and make the combined index as input data of RBF...
This paper presents two artificial neural network (ANN) structures to estimate the depth of anesthesia (DOA). First, a clinical study involved on 33 patients is proposed to construct reference data and also to compare the results with BIS monitor (Aspect Medical, Vista), which represents satisfactory correlation with clinical assessments. Secondly, to extract features from electroencephalogram (EEG)...
Continuous nearest neighbor queries in road networks have recently received many attentions. To evaluate multiple concurrent continuous k nearest neighbors queries towards moving objects, we propose a multi-threading processing of multiple continuous queries (MPMCQ) framework, which exploits pipeline strategy and departs the continuous query processing into three simultaneous stages: query processing,...
The water quality of surface water in Suzhou River has been assessed comprehensively based on the environmental investigation and monitoring in order to provide the scientific basis for the pollution treatment in the Suzhou River. This paper discussed the choice of the evaluated factors, the operations of the weight value, and compares with the status of the water quality in the course of the evaluation...
According to lagging state of water quality monitor and the problems of the difficult of water bloom prediction, water bloom remote monitor and prediction system based on BP neural network are proposed in this paper. This system can realize the automatic real-time monitor for the change of water quality and via the prediction by neural network for water bloom; it can provide a kind of efficient and...
According to the system configuration and operating characteristic of a constructing solar power tower (SPT) plant in China in this paper, the fault diagnosis system (FDS) was researched and developed. Furthermore, evaluation system of fault grade was established by the method of fuzzy comprehensive evaluation. In this FDS, the fault diagnosis structure was designed to adopt the expert system for...
Using particle swarm optimization (PSO) to optimize BP neural network model is proposed in this paper. The new model is more quickly and accurate. The basic idea of this model is: Firstly PSO is used to optimize the BP neural network's initialized weights, an optimized result is got; then based on the optimized result the BP neural network is used for further optimization. We can use this model for...
According to the limitations of traditional BP neural network algorithm, the method of adding momentum factor and changing learning rate is used to improve the traditional BP neural network algorithm and establish the new model of BP neural network which is applied to the urban air quality prediction. Practical application shows that improved BP neural network algorithm overcome the shortcomings like...
The oriental migratory locust plagues has became a serious problem during the last two decades. Remote sensing techniques can greatly facilitate monitoring locust population dynamics over a large geographic scale. In this paper, a model is presented to estimate leaf area index (LAI) of reed canopy from TM or ETM+ image data firstly. The model classifies the background of reed canopy into soil and...
The paper proposes credit risk assessment model of commercial banks based on fuzzy probabilistic neural network model (FPNN) which combines the relative membership degree in fuzzy mathematics with Probabilistic Neural Network (PNN). The model makes up for a deficiency of ANN and BP arithmetic. Finally, an example is used to prove the calculation of this method is succinct rapid, and the evaluative...
Using fuzzy neural network to evaluate the degree of success in power plant is this paper's innovative points. First we give an index system, and then use the relative membership degree processing the date, which as the input sample of neural network. Then use PSO algorithm optimizes the BP neural network algorithm. Use this improved BP neural network to evaluate. It is more accuracy and speedily...
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