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In many research areas where the hypothetical based study is performed p-value is most commonly used statistical measure for null hypothesis testing. This p-value is deciding factor in considering the hypothesis validity for given population. Such a critical value can sometimes mislead the entire research. So there is always scope in understanding such factors in all possible directions. One of such...
Fault localization defines information models from raw runtime information as the input, depicting program behaviors for supporting localization algorithms. It is natural that an elaborate information model is desirable and likely to improve the effectiveness of fault localization, because it typically depicts subtle and more program runtime behaviors. In fact, much work on fault localization assumes...
This preliminary study investigates feasibility of a running speed based heart rate (HR) prediction. It is basically motivated from the assumption that there is a significant relationship between HR and the running speed. In order to verify the assumption, HR and running speed data from 217 subjects of varying aerobic capabilities were simultaneously collected during an incremental treadmill exercise...
The use of multivariate pattern analysis (MVPA) has grown substantially over the past few years. Many studies using MVPA estimate the response of individual trial activity and perform hypothesis testing using a non-parametric approach. Here we show that the default auto regression model of order 1 used for temporal whitening of BOLD data is problematic in that it leads to biased permutation tests...
In today's technology driven world, not all technologies could be adopted easily. There are many factors that affect its level of adoption; the most common factors are the perception of usefulness and perceived ease of use. Instagram is a picture-based social media tools or applications which also offer a photo-editing features to create a better desirable results. The theory that is appropriate to...
Univariate outlier analysis has become a popular approach for improving quality. When a customer return occurs, multivariate outlier analysis extends the univariate analysis to develop a test model for preventing similar returns from happening. In this context, this work investigates the following question: How simple multivariate outlier modeling can be? The interest for answering this question are...
Our experiences with industrial software development projects have often revealed that requirements change even after their formal approvals. Although the requirements are never stable, proactive identification of potentially changeable or deferrable requirements, and estimation of their impacts early in a project can be useful in minimizing the risks and cost overruns. In practice, the decisions...
Online reviews have been one of the important determinants to influence consumers' purchasing intention. This research builds a model to explore how online reviews influence consumers' purchasing intention. The empirical research results show that: Firstly, customers' perceived credibility of online reviews positively affects cognitive and emotional trust in online sellers, which results in purchasing...
With the large-scale distributed system plays an increasingly important role in such fields as national security, critical infrastructure and social life, its vulnerability analysis problem has become a growing focus nowadays. As a vulnerability analysis object, a multi-layer model is put forward firstly, and then a multi-dimension vulnerability analysis framework of large-scale distributed system...
Gyroscope plays an important role in navigational systems and its drift has a direct influence on the precision. However, the gyroscope random drift series in practice are not traditional stationary time series for their time-varying means and variances, and large error cannot be avoided by traditional processing method. It is found that the statistical property of most gyroscope random drift series...
Automatic testing of stationarity and detecting of its abrupt change are of primary importance in numerous applications ranging from exploratory data analysis to diagnosis or surveillance. In which case, we are interested in points where the signal stationarity is violated. We consider the problem of how to detect these change-points, which we identify by finding sharp changes in the signal characteristics...
Post-silicon testing and validation - whether to screen out defective parts, confirm proper operation in the target application, or test robustness in the presence of transient issues induced by environmental factors - is especially crucial for safety-critical devices. These activities sometimes leverage information gathered prior to fabrication through the injection and testing of stuck-at and transient...
From the view of financial development, the relations between financial development and urban-rural income gap in Tianjin from 1980 to 2008 were cointegration analyzed based on VAR model. Results indicated that a long-run equilibrium relation exists between financial development and urban-rural income gap in Tianjin. A positive correlation lies between financial development dimension, while a negative...
WS-BPEL processes are usually overlapped in large Business applications composed of several Web Services. Such applications are more and more developed with respect of quality processes. Testability is an important quality degree, which evaluates the fault detection coverage during the testing process and the testing cost. In this paper, we focus on a well-known testability criterion called observability,...
The international financial crisis frequently breaking out since 1990s, especially the recent crisis triggered by the U.S. sub prime mortgage crisis, shows that, one of the typical manifestations of financial crisis is the contagion effect imposed on countries through financial market system. To prevent economy from being destroyed by financial crisis contagion, this paper puts forward a new testing...
This article has employed herein comprehensive variable DEA and traditional DEA to conduct comparative study of performance assessment of hospitals in various regions of China in 2007 to reflect the validity of DEA for hospitals of various regions. Studies indicate that comprehensive variable DEA has integrated advantages of traditional DEA and also made up for intrinsic disadvantages and defects...
We present a practical, systematical method for the evaluation of the soft error rate (SER) of microelectronic devices. Existing methodologies, practices and tools are integrated in a common approach while highlighting the need for specific data or tools. The showcased method is particularly adapted for evaluating the SER of very complex microelectronic devices by engineers confronted to increasingly...
For several decades, the output from semiconductor manufacturers has been high volume products with process optimisation being continued throughout the lifetime of the product to ensure a satisfactory yield. However, product lifetimes are continually shrinking to keep pace with market demands. Furthermore there is an increase in dasiafoundrypsila business where product volumes are low; consequently...
We present a generic method for analyzing the effect of process variability in nanoscale circuits. The proposed framework uses kernel and a generic tail probability estimator to eliminate the need for a-priori density choice for the nature of circuit variation. This allows capturing the true nature of the circuit variation from a few random samples of its observed responses. The data-driven, non-parametric,...
This paper investigates and simulates a coloured stochastic Petri nets model for depth evaluation intrusion detection. Network attack behaviors are very complexity sometimes, it is difficult to capture all of them. In this paper, we could realize what them happened with analyzing and simulating an intrusion. The experimental results demonstrated that the CSPN model approach was an efficient and helpful...
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