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Here we describe an approach for the dynamic selection of test cases in continuous integration test environments. By correlating historical test case results with product source code changes, we are able to construct a simple model that enables us to dynamically and automatically create test suites that are customized for each individual product software delivery. Using this technique, we are able...
An epileptic seizure is a brief episode of symptoms due to abnormal excessive or synchronous neuronal activity in the brain. Epilepsy is a chronic disorder that affects people of all ages, and one of the most common neurological diseases globally. Epilepsy can have both genetic and acquired causes, nevertheless, the exact mechanism of epilepsy is still unknown. It merits further investigation under...
The application of questionnaires to assess the anxiety of patients provides a lot of information that can guide the dental physician in assessing the patient's behaviour prior to addressing specific treatments, but also to find new strategies in the management of dental anxiety behaviour. There is a great variety of self-reported dental anxiety assessments which can be applied, but the most used...
Recently two-dimensional (2D) Palm Hash Code was proposed as a cancelable palm print coding scheme for secure palm print verification. However, there is vertical correlation between the vertically adjacent entries of 2DPalmHash Code. Armed with the statistical correlation analysis, an attacker can break into the palm print verification system easier than using brute-force attack. This paper analyzes...
This paper presents empirical studies of test effectiveness for Java database applications. We primarily address two research questions: (1) What is the relationship between test set size, coverage criteria, and test effectiveness for Java/JDBC programs? (2) Which adequacy criterion is more suitable for testing Java database applications, statement coverage, branch coverage, or command form coverage?...
With advanced data communication techniques, Internet service providers are facing big problem of managing heavy P2P and VoIP traffic for their network. Deep Packet Inspection (DPI) is one of the techniques to inspect and classify application traffic. There are various existing methods (port based, payload based, statistical analysis, time based behavior etc) to identify application traffic using...
The origin of outages occurring in a power distribution network are highly related with the weather conditions existing during its apparition. Wind, rain and lightnings usually are the trigger causes of power network outages, hence the analysis of the relationship between weather and network outage information plays an important role for forecasting the impact of future weather conditions in the power...
Alerts correlation techniques have been widely used to provide intelligent and stateful detection methodologies. This is to understand attack steps and predict the expected sequence of events. However, most of the proposed systems are based on rule - based mechanisms which are tedious and error prone. Other methods are based on statistical modeling, these are unable to identify causal relationships...
For the purpose of studies of second language acquisition and computer aided pronunciation training, an L2 Chinese speech database by Japanese learners has been collected and phonetically annotated twice by two independent groups of labelers. As there are errors in the two annotations, appropriate methods are needed to screen out inconsistencies for rechecking. This paper presents a multi-step procedure...
General-purpose no-reference image quality assessment approaches still lag the advances in full-reference methods. Most no-reference methods are either distortion specific (i.e. they quantify one or more distortions such as blur, blockiness, or ringing), or they train a learning machine based on a large number of features. In this approach, we propose a discrete cosine transform (DCT) statistics-based...
Xu et al (A novel method for Fisher discriminant Analysis. Pattern Recognition, 2004, 37 (2): 381-384) proposed an interesting Fisher discriminant analysis method that not only requires that discriminant vectors have large Fisher criterion values but also requires that resultant features have small statistical correlation to each other. Indeed, this method is motivated by the following cognition:...
Public transportation IC card systems have a large amount of daily bus passengers travel information, and are a valuable source of information on the city transport system. This paper discusses the need for data mining of public transportation IC cards, and research methods for public transportation IC card data pre-processing. The data from application of statistical clustering on the behavior of...
Most high-throughput experimental results of protein-protein interactions (PPIs) are seemingly inconsistent with each other. In this article, we re-evaluated these contradictions within the context of the underlying domain-domain interactions (DDIs) for two Escherichia coli and four Saccharomyces cerevisiae PPI datasets derived from high-throughput (yeast two-hybrid and tandem affinity purification)...
Based on the Meta analysis of the relationship between service quality and customer satisfaction, the paper gets the path model of service quality and proves that there is heterogeneity in the positive correlation between service quality and customer satisfaction. On the support of considerable literature, the paper points out the possible potential mediators that may influence their relationship,...
Despite remarkable progress on face recognition, little attention has been given to robustly recognize expression variant faces from a single sample image per person. One way to deal with the recognition of faces under above conditions is by using local statistical approaches which appear to be more robust against variations in facial expression. In this paper, we propose a new weighted matching method...
The objective of this study was to determine whether one perceptually dominant channel in carrying emotional cues could be determined among speech, textual content and facial expression. To this end a Wizard-Of-Oz type scenario was used to elicit a corpus of emotional speech and facial expressions from five female speakers. Excerpts from this corpus were then presented to 48 listeners in the various...
A predictive model for estimating the perceived harmony of ordinary multi-colored images is proposed and evaluated. The model is based on earlier research concerning two-color harmonies. Color regions of images are extracted using mean shift segmentation. Global and local harmony scores are derived for two-color combinations included in different subsets of all segmented regions. Statistical measurements...
This paper presents an emotion recognition framework based on sound processing could significantly improve human computer interaction. One hundred thirty three (133) speech features obtained from sound processing of acting speech were tested in order to create a feature set sufficient to discriminate between seven emotions. Following statistical analysis in order to assess the significance of each...
There is a wealth of information collected about national level socio-economic indicators across all countries each year. These indicators are important in recognizing the level of development in certain aspects of a particular country, and are also essential in international policy making. However with past data spanning several decades and many hundreds of indicators evaluated, trying to get an...
Due to the autonomy of Web databases, a major challenge for query translation in a deep Web data integration system is the lack of cost models at the global level. In this paper, we propose a multiple-regression cost model (MrCoM) based on statistical analysis for global range queries that involve numeric range attributes. Using the MrCoM, the query translation strategy for new global range queries...
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