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Most of papers on image encryption provide some measures to attest that the presented works satisfy the required criteria in the field. Some others propose a comparative study and decide on whether one work is better than another one always using these measures. These last are of different types where the correlation coefficient is one among them. It is a statistical measure used to analyze the resemblance...
The researches relevant to age-related changes have been the significant subject causing more and more attraction. This study is to investigate age-related changes of event-related potentials with detrended partial cross-correlation analysis (DPCCA) [11,12] to explore the discrimination between the young and the older. We hypothesized that the DPCCA coefficients were affected by age-related changes...
In a low signal / noise ratio, shape deviation of detected signals causes them pass. The task of neutralization of this effect is classified as actual one. In active control systems it is proposed to solve the task through result tracing operation of reactions comparison for controlled and reference objects on sounding effects. The most probable one is selected according to similarity degree of possible...
This paper presents the development of decision support model through the development of an information system JKP Parking servis Kragujevac. This paper is an attempt of approaching the classical methodology and modern demands of information systems for creation of effective decisions. The paper proves that the design of an information system is inseparably from the process of decision-making and...
Unavoidable process random variation causes mismatches to deviate the performance of many analog circuit blocks. In addition, the correlation between components is also related to the performance parameters of analog circuits. This paper proposes a layout strategy to reduce the random error by making the trade-offs among performance parameter, correlation coefficient, and area allocation cost. Simulation...
With the growing market of IP movies, it's becoming more and more important to know their box office features. This paper studies the influence degrees on the film box office from IP features, including the IP type, rating score and following number, combined with other factors that affect the film box office. By using the 2015 data of the films shown in China, the empirical analysis is conducted...
Consumers usually evaluate storage time of a beef, as well as its freshness, using its surface color. However, in this study, by using a colorimetric method, we found that the surface color change of beef samples was unrecognizable during the first five days of storage. On the other hands, the attenuance difference between 615nm and 630nm (A630-A615 difference) was found to have a high correlation...
The short-term load forecasting error highly affects the security and economic operation of power systems. The load in different areas are distinct in the composition of consumers, impact factors, and profiles, and are thus of different forecast ability. Understanding the correlations of load forecast error among different areas would provide significant insight on the ways of managing the forecast...
Capillary images obtained from the finger nailfolds are very useful for diagnosis of the health condition of a person. Specific capillaroscopic patterns have been identified for healthy controls as well diseases such as Systemic Sclerosis and Raynaud's phenomenon. Here, six capillary morphological abnormalities act as inputs to response surface regression, generating an output whose range will indicate...
Objective of the paper is to evaluate metrics of automatic evaluation of machine translation output using manual metrics — fluency and adequacy. We tried to answer the question to which extent the manual evaluation correlates with the automatic evaluation of MT output from/to Slovak to/from English. We focused on metrics based on the similarity and statistical principles (WER, PER, CDER and BLEU-n)...
With the increase of multi media technology and internet there is a rapid growth in storing and retrieving of documents. Government has taken several methods for documents to scan and stored digitally for future use. Even though the documents are available in the digital format, but it is very difficult to search for a single word or phrase. Traditional optical character recognition techniques (OCR)...
With the increasing number of applications for security in small devices and short lived transactions services, and the encryption algorithm which we need is faster, more convenient, and more secure. TEA is one of them. In this paper, there are four experiments with 64 and 128 bit size key TEA. The results of the experiments proving that TEA cannot defend Bitsum Attack. The reason is in TEA the bitsum...
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...
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