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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...
Sleep apnea is identified by repetitive reduction or complete cessation of breathing during sleep. Sleep apnea affects cerebral hemodynamics and it is important to study this effect. Measuring cerebral blood flow during sleep is challenging due to the need to maintain a contact between the flow probe and the skull. It is hypothesized that there exists a relationship between the variations in the exhaled...
To investigate spatial distribution properties of the cardiac- and respiratory-driven cerebrospinal fluid (CSF) motions in the intracranial space, correlation mapping technique was conducted. Time series of CSF velocity were acquired in 7 healthy subjects of 26±5 years old under by asynchronous 2-dimensional phase contrast (2D-PC) method with 217-msec temporal resolution. The delay time and maximum...
This paper presents a methodology to extract the respiration from a single-lead ECG waveform using the iterated Hilbert transform (IHT) technique. It is proposed that the amplitude components (envelopes) obtained in the initial iterations of the ECG decomposition using the IHT technique contain the information about the respiration, and these amplitude components can be utilized to estimate the respiration...
This research paper is part of an ongoing research project to enhance the usability of an Online Airline Reservation System by making them more flexible. The usability of an online airline reservation system cannot be predicted without considering the flexible behavior of travelers. However, travelers' flexible behavior is molded by a number of service quality attributes. In this paper, service quality...
Compared with the existing conventional frequency correlation algorithm which needs both Fast Fourier Transform (FFT) and Inverse Fast Fourier Transform (IFFT), an modified frequency discrete correlation algorithm only needing FFT is presented and deduced in new ways based on the correlation theorem. Also simulation experiments of the algorithm for periodic signals and mixed signals composed by periodic...
In this paper, a new identification technique based on a Kendal Rank Correlation Model is described. The method is based on the exploitation of a text vector model in the area of the text similarity detection issue. This study is divided into two stages: In the first stage the Text Vector Model (TVM) is described. In the second stage the Kendal rank correlation coefficients, which are obtained from...
Solar radiation is assumed to be one of the main sources of photosynthesis, Irradiation time and radiation intensity both have impact on plant growth. The study use correlation coefficient to quantitative analysis relationship between solar radiation in growing season and grain yield per unit, and draw the conclusion that it does not necessarily that region with a high solar radiation has a large...
In previous studies, the correlation between the vegetation index and meteorological factors were investigated with in intervals defined by the day-of-year. Compared with the day-of-year, the accumulated growing degree days (AGDD) more effectively reflect vegetation growing stage, which serves as important references in agricultural management and disaster prediction. From this end, it is also worth...
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