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This paper provides an analysis of tweets and of their vocabulary in a specific emergency situation — earthquakes, moreover, the correlations between several words from messages and on the linear regressions between word usages and the intensity of the earthquakes. We analyzed the vocabulary used on tweets about Romanian earthquakes with the vocabulary of tweets used for other European earthquakes.
Recently, blind signal separation (BSS) has been exploited in many applications. As a special class of second order statistics, canonical correlation analysis (CCA) allows to study the correlation between two sets of data. A new framework based on CCA techniques is presented by starting with the conventional method that utilizes a known training signal. Several specific transformations are considered...
This paper proposes an image steganography for hiding secret images. The objective of the proposed work is to increase the embedding capacity while ensuring the security of the image. This has been addressed using two levels of processing. First is the application of Genetic Algorithm (GA) as ‘before embedding hiding technique’ which tries to identify suitable places in cover image where embedding...
This paper presents a data-dependent SRAM paired with statistical methods to leverage data correlation for the purpose of low power read operations. A 10T bit-cell, a prediction-based conditional pre-charge circuit, and a compact column circuit implemented in a 16kbit 28nm SRAM test chip demonstrate power savings up to 69% for applications spanning signal processing, video coding and computer vision...
We study statistical issues related to the use of words in messages on SNs, as related to specific potentially catastrophic events, such as fires and earthquakes. The analysis investigates the frequency of the words in the messages of interest, moreover their temporal correlation, and aims to determine a reasonable number of keywords for the searches of the events, especially in relation with analytics...
Seamounts are ubiquitous manifestations of underwater volcanism that rise above the surrounding ocean floor by more than a few hundred or thousand meters. Any temporal and spatial variations of the underwater volcanic and tectonic processes that formed seamounts can primarily be understood through their geometric characterization and spatial distribution. For this study, we utilize the vertical gravity...
Moving or stationary target Synthetic Aperture Radar (SAR) signatures can be analyzed and used to identify and classify target type against known stored target data base, consisting of full circle raw target data. Public target data base is used as data source, and additionally derived target signature characteristics are generated suitable for target identification. Pose, angle between position and...
The research of stare is useful for country and people. A space share rising statistical parallel model is built by using statistical theory. The formula of correlation between stock prices is given. The regression equation with space coordination is obtained.
The research work is focused to study the influence of weather parameters on the incidence of pests on cotton from the period 2006 to 2010 at Acharya N. G. Ranga Agricultural University, Lam farm, Guntur. Multiple Linear Regression (REG) and Generalized Linear Model (GLM) techniques are used to analyze the pooled pest's data statistically along with weather parameters by SAS (Statistical Analysis...
Covert channels exploit network resources never intended for the purpose of communication in order to transfer messages undetectable by conventional security measures like intrusion detection systems and firewalls. Since covert communication provides a means to secretly transfer messages they pose a grave cyber security threat. Most research in detecting covert timing channels are focused on detecting...
I frame or I slice which adopts the intra prediction is a key part of video coding. Intra prediction is important because the prediction accuracy directly affects the efficiency of the following transformation, quantization and entropy coding. According to the case of intra mode selection in HEVC, it is necessary to improve the prediction for the two most frequently used modes, DC and PLANAR. A significant...
There are many methods in statistical analysis, but the basic approach is quantitative analysis. Statistical analysis requires a combination of quantitative and qualitative analysis. Qualitative analysis is fundamental, and a quantitative analysis, which is the core of statistical analysis, is based on the precision of the qualitative analysis. The process of statistical analysis includes qualitative...
Android applications or apps are taking the smart phones industry to a new level. Smart phone users can do most of their everyday tasks using the various types of applications offered in the Android Play Store. Generally, prior to installation of the apps, users need to agree on the permissions requested by the apps, they are not given any other option. Essentially, users may not aware on some security...
In this research, the authors examined the value of air temperature data of big cities as data-mining introduction teaching material for schoolchildren and young students. The data examined in this research was the air temperature data of all of the 47 prefectural capitals in Japan. The results of the research showed that we can clearly see statistical patterns in the data using diagrams and graphs...
Unvoiced phonemes have significant presence in spoken English language. These phonemes are hard to classify, due to their weak energy and lack of periodicity. Sound textures such as sound made by a flowing stream of water or falling droplets of rain have similar aperiodic properties in temporal domain as unvoiced phonemes. These sounds are easily differentiated by a human ear. Recent studies on sound...
The exam is an important part of the process of teaching, tests and feedbacks are important teaching management tool. Comprehensive quality evaluation and analysis is an integral way for teaching effect feedbacks, the results can provide feedbacks for teaching to help teachers understand students' environment better and learn to improve teaching methods. However the analysis process is burdensome...
There's a brief description of the Uruguayan wind power installed by 2012, and an analysis of its energetic behavior for the last year. Chronological comparative capacity factor series, and relative wind energy production are shown and analyzed. Two wind farms are selected, and for these, there's an analysis of the correlation of two series: daily energy and hourly power. Finally, by calculating the...
One of the main characteristics of illnesses like atherosclerosis and hypertension is the loss of arterial elasticity. In this article we develop two methods to determine the variables that represent the arterial diameter variation (ADV) wave in radial artery which will later allow us to study the arterial elasticity from the radial artery. For our study we use fifty three arterial diameter variation...
In order to analyze the data rationally in the process of teaching study, some statistical methods are used in this paper. By introducing descriptive statistics, parametric hypothesis test, one-way analysis of variances (ANOVA) and correlation analysis, the problem of data analysis in practice can be rationally solved. For illustration, some practical cases are utilized. And the result shows that...
An alternative approach, based on an iterative least square optimization technique, for the design of antenna array exhibiting equal side lobes in their radiation pattern. New and generalized expression for the array factor of all physically realizable linear antenna arrays with progressive phase shifts are introduced. The algorithm is based on the statistically computed signal analysis. By considering...
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