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The fault diagnosis of diesel engine is a typical cluster analysis. Effective clustering is often achieved through distance calculation in the cluster analysis. Directing at the issue that fault features cannot be effectively calculated with classic Mahalanobis distance and Euclidean distance when there is fuzzy correlation between the variables of fault feature, this article combines Mahalanobis...
Traffic analysis using classical methods of queuing theory supposes independent or at least uncorrelated traffic counts. This article is about using wavelet transform for decreasing correlation in strongly correlated traffic. Also shown the transform of the probability density function of the source of traffic using two-dimensional probability density function and a “model” distribution based on cumulant...
Ultrasonic testing technique has been widely applied for monitoring the metal structure health. It is useful to detect and access the damage condition with the minor crack information being concealed in the ultrasonic signal. Although there has been a large amount of studies, the extraction of robust minor crack features is still a fundamental problem. In this paper, a novel crack identification algorithm...
To solve the mode mixing problem of local mean decomposition (LMD), hereby a de-correlation improved LMD algorithm was proposed. If the multi-components signal includes two signal components with similar frequency, LMD will produce mode mixing which has serious impact on signal feature extraction and subsequent time frequency analysis. The essence of the mode mixing is that the information of product...
Building brain networks based on functional Magnetic Resonance Imaging (fMRI) signal is one of the efficient methods to study functional connectivity of human brain. Various methods of constructing brain network will lead to different results. It is wondered which method is reliable. Therefore, it is necessary to set up a synthetical framework of brain network analysis to study the functional connectivity...
According to the characteristics of power system fault data, a new attribute reduction method of rough set is proposed, which is used to diagnose the power system fault of complex equipment. First, the attribute reduction problem is transformed to the set covering problem and the correlation coefficient matrix is built based on the correlation matrix. Then based on the selection principle of high...
The photovoltaic (PV) module temperature (Tm) and ambient temperature (Ta) are both important factors to PV power output (P), but are often confused with each other or even ignored. In this paper, the physical analysis methods and mathematical analysis methods are utilized to research the differences and similarities of two temperatures in effecting of PV power output. Firstly, based on PV effect...
This paper deals with problems of surface moving object detection in urban environmental conditions in video sequences acquired in visible spectrum using various techniques. The objects feature is changed in dependence on time and space condition such as weather condition, urban environment, etc. In this article, we proposed a combined method for object detection in video sequences using three techniques...
The relationship between the cloud-to-ground lightning characteristics and the air quality data over Guangzhou megacity, South China was investigated in this report. A simple method was proposed to cluster lightning location data into two types of thunderstorms: the traverse thunderstorms and the local ones. It was found that the AQI (air quality index), PM10 concentration, PM2.5 concentration, NO...
This paper presents a simple analytical model able to reproduce the electromagnetic field generated in a reverberation chamber equipped with a mechanical mode stirrer. The model introduces an original process able to introduce a given level of correlation between two successive positions of the mode stirrer as it is observed in measurements. The results obtained with the model are successfully compared...
As Electrocardiogram (ECG) signals is concern, the second lead is most dominant among the twelve leads. Many techniques are available for human authentication purpose but most of them are untrusted and unsecured. Biometric based authentication system is secure, unique and more reliable for an individual. It deals with the human biometric characteristics such as teeth, face, finger, iris, voice, signature...
The synchronized spontaneous low frequency fluctuations of the BOLD signal, as captured by functional MRI measurements, is known to represent the functional connections of different brain areas. The aforementioned MRI measurements result in high-dimensional time series, the dimensions of which correspond to the activity of different brain regions. Recently we have shown that Dynamic Time Warping (DTW)...
Quantitative co-localization analysis with fluorescent microscopy is a common approach to assess the spatial co-ordination of molecules and thus to understand their functions in biological processes. However, the co-localization analysis results might not be consistent due to various imaging conditions and different quantification methods used. We propose a novel method to separate a co-localization...
Knowledge of a cause-and-effect relationship between different physiological systems is helpful in predicting their performance under perturbations, such as orthostatic challenge. The causal coupling between representative signals of the cardiovascular and postural systems under orthostatic challenge remains unknown. Understanding the causal relationship between these two systems is critical, as their...
Time dimension in Amazon EC2 spot instance pricing is decomposed into weekday and hour to study Amazon EC2 spot price dynamics. Statistical tests performed on various compute optimized instances of Linux/UNIX and Windows type show that weekday dimension in time hierarchy is as important as hour dimension in describing spot price dynamics. Coefficient of correlation in spatial trend analysis suggests...
Accurate demand forecasting could reduce the uncertainty of inventory and provide theoretical basis for strategic decisions. Without the accurate prediction of actual market demand, there will be a supply shortage or surplus, which influences the enterprise's inventory level and costs of operation. Product substitution is an important factor which affects the precision of demand forecasting. It could...
For many decision making problems, all the possible alternatives are treated equally before one find the most desirable alternative. But, it is a little unreasonable if all alternatives are treated equally. So, in this paper by taking the aggregation operator into account, the weights of criteria can be determined successfully. There in to, the parameters for aggregation operator are the decision...
Fistly, IEEE database is utilized to retrieve ICMSE conference data from 2006 to 2013 to build the conference coauthors network, then use social network analysis methods to analyze the scientific status of cooperation between scholars. Secondly, in the analysis of Cohesive Subgroup, we analyze and compare the two larger network from the core node centrality, the correlation between code centrality...
In view of the shortages of Price forecast for power device, a new forecast model GPCR was proposed in this paper. By analyzing the main problems in the current procurement of Power Grid Corp, this paper uses grey relational analysis (GRA) and principal component regression (PCR) to forecast the price of power device. In the experiments, we prove that the proposed method is effective, and show the...
The use of an individual's neural response to stimuli (the event-related potential or ERP) has potential as a biometric because it is highly resistant to fraud relative to other conventional authentication systems. P300 is an ERP in human electroencephalography (EEG) that occurs in response to an oddball stimulus when an individual is actively engaged in a target detection task. Because P300 is consistently...
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