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In this paper, the trend as an important component in activities of daily living is modelled and integrated to a single-occupant occupancy simulator. Therefore, in the occupancy signal generated by the simulator, both seasonality and trend are included in occupant's movements. As the result of trends integrated to the simulator, occupancy signals with different types of trends such as increasing,...
A simple mathematical model for predicting the probability that a street-level location within a macrocell enjoys full visibility to its serving base station antenna is proposed and evaluated. The single-parameter, two-tier linear model is based on processing and modeling actual antenna observation data taken at street-level locations around urban cell sites in the city of Caracas. When the only parameter...
Fusion of functional magnetic resonance imaging (fMRI) and genetic information is becoming increasingly important in biomarker discovery. These studies can contain vastly different types of information occupying different measurement spaces and in order to draw significant inferences and make meaningful predictions about genetic influence on brain activity; methodologies need to be developed that...
The potential of Fourier transform infrared spectroscopy (FTIRS) combined with chemometrics for its ability to fast determine the total flavonoids content of rape bee pollen was studied. A total of 25 rape bee pollen samples were investigated for FTIRS on the wavenumber between 7800 and 350 cm-1. Direct orthogonal signal correction (DOSC) was performed to preprocess the original spectra data. Partial...
This work proposes methods for estimating the responses of time-varying underwater acoustic channels using ℓ2 - ℓ1 basis pursuit and quantifying their similarity. This is motivated by problems where environmental information is to be extracted from communications signals through high-frequency ocean acoustic tomographic techniques. We view underwater channels as time-varying linear systems and characterize...
A fundamental task for a developing agent is to build models that explain its uninterpreted sensory-motor experience. This paper describes an algorithm that constructs a sensor space from sensor correlations, namely the algorithm generates a spatial embedding of sensors where strongly correlated sensors will be neighbors in the embedding. The algorithm first infers a sensor correlation distance and...
In this paper, the relation between education investment, R&D investment and economic growth will be discussed by applying grey correlation model, based on the data of the Six Provinces of Central China(2000 to 2006). Then comes the conclusion: There are some relationships between education investment, R&D investment and economic growth; compared with the R&D investment, education investment...
We propose a probabilistic, non-intrusive method for quality assessment of speech that takes into consideration the bounded character of the preference scores. The quality ratings are modeled as iid Beta random variables, whose mean and precision are parametrized directly in terms of the signal features. Maximum likelihood estimation is used to learn the model parameters in view of a training database...
The prediction of traffic incident duration is an important foundation of advanced incident management system and driver information system. In this paper, actual traffic incident data was used to study the prediction problem of traffic incident duration by the method of neural network. 660 sets of actual traffic incident data from a freeway management center were used to train a neural network model,...
We propose a data fusion method for the fusion of simultaneously acquired functional magnetic resonance imaging (fMRI) and single trial electroencephalography (EEG) data from multiple subjects using multi-set canonical correlation analysis (M-CCA). Our proposed technique utilizes the common time series information in the multimodal datasets to find trial-to-trial covariations across modalities, and...
Pseudo-random code is the basis of spread spectrum communication, at the same time, coherent receiver the spread spectrum signal by make use of the favorable correlation and reproducibility features of pseudo-random code, its can greatly improve SNR of the coherent receiver circuit output. It's an effective way to make use of software to generates and simulates pseudo-random code, and study the character...
We discuss N-Skart, a nonsequential procedure designed to deliver a confidence interval (CI) for the steady-state mean of a simulation output process when the user supplies a single simulation-generated time series of arbitrary size and specifies the required coverage probability for a CI based on that data set. N-Skart is a variant of the method of batch means that exploits separate adjustments to...
This study was aimed at investigating the factors influencing value in pursuing studies at private vocational schools and the level of such factors. The sample consisted of 379 students of 53 private vocational schools, which were selected through stratified random sampling. The instrument used for collecting the data was the questionnaire with reliability of 0.987 that consisted of three parts: Part...
In this paper, the influence of overlapping of pulse signal sources on their correlation matrix and activity index is studied. The activity index is defined as a Mahalanobis distance of signal observations. Influences of source overlapping on activity index were simulated for a different number of overlapping sources and degrees of their overlapping. The findings lead to an improved model of activity...
Since the first intrusion detection system and up to this moment all IDSs had generated thousands and thousands of alerts and most of these alerts are false alerts, which lead the researchers to develop an idea to reduce the rate of the alerts or at least the false alerts of them. One of the ideas was to create correlation methods which cover the problem of dealing with the huge amount of both real...
Using two Chinese samples, we retested the dimensionality of affect, tested the resultant model's structure validity, and examined the generalizability of subjective well-being using correlation analysis and factor analysis. We found empirical support for the independence of positive and negative affect which were not bipolar opposites on the same affect spectrum. Confirmatory factor analysis indicated...
In this paper, a proper solution for a capacity-limited lossy wireless sensor network subject to packet loss as a problem has been presented by considering multiple sinks and correlated sources. At first, a joint optimization problem with two objectives, rate allocation and transmission structure, is introduced and solved. Also in the lossy network, a method to allocate the rates to the correlated...
Although linear regression is a simple and useful method to build process models, they do not always function well in practice due to not only changes in process characteristics but differences of specifities between the equipments when multiple equipments are operated in parallel. To cope with them, the correlation between variables should be considered. In the present work, a new pattern recognition...
Recently, many commercial products, such as Google Trends and Yahoo! Buzz, are released to monitor the past search engine query frequency trend. However, little research has been devoted for predicting the upcoming query trend, which is of great importance in providing guidelines for future business planning. In this paper, a unified solution is presented for such a purpose. Besides the classical...
In this paper, a novel technique was present for mining complete correlation itemset, named as NLCD(non-linear correlation discovery) from hereon. In the first, it employ the vertical representation of a database, and then to find the direction between the correlative itemsets with fast processing and lots of them through the whole, including many kinds of correlation. Transaction ids of each itemset...
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