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The present research aims is examining the Internet application as a new tool for tax collection and its related services and also it explores satisfaction degree of tax payers. The field study has been undertaken in data collection, standard questionnaires with 0.94 reliability have been distributed among tax payers (firms) in Markazi province of Iran and after their gathering, the structural equation...
The statistical data reflects the various characteristics of aspects of social economy and is a combination of spatial data and attribute data. There are the advantages of managing and processing massive amounts of data, especially spatial data for geographic information system. This article combines geographic information systems with statistical data and applies cartographic visualization theory...
As Beijing-Tianjin and Wuhan-Guangzhou high-speed rail opened to traffic, China railway passenger transport line is coming into a high-speed era while the operation of high-speed rail will squeeze air transport market share. This paper has chosen four measure indexes of analysis, time cost, economic cost, comfort and safety, on the basis of the elaboration of the competition between high-speed rail...
The paper introduces a general approach to the construction of a Quality Model for Web Sites. The process for constructing such a newly conceived model is presented and discussed, and examples of its application are shown.
Because various machine translation (MT) systems adopt different language rules and statistical methods, their performances are different. To combine different MT systems and make full use of their advantages so as to improve comprehensive performance of the combination MT system, has become an important development trend in the research field. This paper divides the current combination methods into...
Motivated by the fact that a class has its own optimal feature vector discriminating itself from the other classes, we propose a new feature extraction algorithm for face recognition. In the scheme of the proposed class-dependent LDA (CDLDA), the evaluation criterion discriminating the samples of one class from those of the other classes is proposed. Different linear transformation spaces are constructed...
In order to develop an automatic and rapid detection method for enumeration of total bacteria in juice, biomimetic pattern recognition and machine vision were employed. The characteristic data, such as shape, texture and color features, were acquired by using the machine vision technology from bacteria images in varieties of juice. Based on multi-weight higher order neuron network, the recognition...
The properties of average short-term entropy of audio sequence are discussed in this paper. It is discovered that the changes of average short-term entropy on different scales depict the audio's statistical features well, which can be used to generate zero-watermark of an audio clip. A method of calculating normalized entropy vectors is presented in this paper. To generate the zero-watermark of an...
Aiming at the effective fusion of multi-sensor measurement data unknown statistics, a novel method of multi-sensor data fusion based on fuzzy supported degree is presented. The support degree distance and support degree matrix which meet membership function characteristic of fuzzy set theory, were constructed to extract and use the redundancy and complementary information, so the weight value of measurement...
Distinguisher serves as an essential component in DPA attacks and should to some extent influence behaviors of these attacks. Motivated by this, we proposed a sound approach to evaluating the effectiveness of DPA attacks from the perspective of distinguishers' statistical characteristics. For this propose, we formally defined the notion of Gaussian Distinguisher in one typical DPA attack setting and...
This paper presents an improved LSB matching steganography, which complementarily modifies the pairs of pixels with adjacent intensity to embed secrete message. In LSB matching steganography, when adding or subtracting one from the cover image pixel, two adjacent bins of the histogram will be altered-the bin value of the modified pixel's intensity increased by one, and one of its adjacent bin's value...
For the retailing, the shelf space allocation is a key issue which impacts on the retailer's product sales and profits directly. For the small-scale supermarket, due to the small store and the product variety, the traditional “format style” shelf space layout is not appropriate. To solve this problem, a shelf space allocation solution based on data mining techniques is proposed in this paper. With...
Testing and debugging account for at least 30% of the project effort. Scientific advancements in individual activities or their integration may bring significant impacts to the practice of software development. Fault localization is the foremost debugging sub-activity. Any effective integration between testing and debugging should address how well testing and fault localization can be worked together...
Channel estimation is vital in OFDM systems for efficient data recovery. In this paper, we propose a blind algorithm for channel estimation that is based on the assumption that the transmitted data in an OFDM system is Gaussian (by central limit arguments). The channel estimate can then be obtained by maximizing the output likelihood function. Unfortunately, the likelihood function turns out to be...
In OFDM systems, fast time-varying channels can be effectively estimated and tracked by coupling a channel basis expansion model with a Kalman filtering approach. Although the Kalman filter is asymptotically MSE-optimal when the channel statistics are known, it may suffer some performance degradation in the presence of statistical mismatches. We propose to estimate OFDM doubly-selective channels by...
We propose advanced compressive estimators of doubly dispersive channels within multicarrier communication systems (including classical OFDM systems). The performance of compressive channel estimation has been shown to be limited by leakage components impairing the channel's effective delay-Doppler sparsity. We demonstrate a group sparse structure of these leakage components and apply recently proposed...
The use of Multiple Input Multiple Output (MIMO) systems has been widely recognized as an efficient solution to increase the data rate of wireless communications. In this regard, several contributions investigate the performance improvement of MIMO systems in terms of Shannon's mutual information. In most of these contributions, elements of the MIMO channel matrix are assumed to belong to a multivariate...
In this paper, features of steel defects data are selected using a wrapper algorithm to increase classification performance. The data are constructed using images of steel defects which are classified two classes as defects and pseudo defects. The suggested algorithm selects features which are relevant to class using the kappa statistic. This measure is suggested to improve accuracy of minor class...
In this paper, we proposed a novel tube-radius measuring algorithm which has a capability to remove added noise effectively as well as measuring the radius of small tubes within an allowable precision. First, in the algorithm we select a ROI including possible true center of the tube and find a candidate true center in the ROI that minimizes standard deviation with respect to the radius of the tube...
Pixel-value-differencing (PVD) based steganographic methods, which take into account the characteristic of human visual system, usually lead to large embedding capacity and good visual imperceptibility. In this paper, a recently proposed PVD-based steganography is further studied. First, by deriving a sufficient condition for data embedding/extraction, we show that the method can be generalized, and...
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