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Cross-domain learning is a very promising technique to improve classification in the target (testing) domain whose data distributions are very different from the source (training) domain. Many cross-domain text classification methods are built on topic modeling approaches. However, topic model methods are unsupervised in nature without fully utilizing the label information of the source domain. In...
The lack of speech resources in the Arabic language is one of the most important obstacles facing speech researchers. Previously, we designed two Arabic and English automatic speech recognition systems (ASR) using two corpora: TIMIT for English language and West Point for Arabic language. Cross-language experiments were conducted using the two systems, and the results were determined with respect...
SQL Injection Vulnerability (SQLIV) is one of the topmost serious threats to web applications. Penetration test is one of the most important approaches to detect SQLIV. The test case generation issue critically affects the effectiveness of penetration test. Thus, research on the approaches to improve coverage and efficiency of test case generation process in SQLIV penetration test is of great importance...
In Thai, it is not easy to find transcriptions of Roman characters such as English words. This leads to problems in Thai text-to-speech when facing with English words among Thai writing. Automatic English to Thai Grapheme-to-Phoneme conversion is proposed to tackle this problem. This paper presents an application of English syllable features to tone prediction model which is capable of classifying...
Static analysis cannot obtain the values of variables in actual program operation because it does not execute the code itself. It makes the detection of invalid arithmetic operation (IAO) in the field of static analysis difficult to achieve. This paper presents a practical model for IAO detection based on alias analysis. The model uses a triple to record information calculated in dataflow. In the...
This paper studies prototypical strategies to sequentially aggregate independent decisions. We consider a collection of agents, each performing binary hypothesis testing and each obtaining a decision over time. We assume the agents are identical and receive independent information. Individual decisions are sequentially aggregated via a threshold-based rule. In other words, a collective decision is...
An estimation method for missile hit accuracy is presented. Through programming the test in missile development, missile miss distance data are tested in digital simulation(DSM), hard-in-the-loop(HITL) simulation and flight, point and interval of miss distance is estimated in missile launch zone by Hierarchical Bayesian evaluation, so the killing probability is extrapolated. The method is prior to...
The development of dependable software systems with acceptable costs and time often requires architectural analyses and criticality assessment strategies to achieve a detailed understanding of the system failing behavior. This information is valuable to evaluate architectural alternatives, to allocate resources, such as, testing efforts and fault tolerance means, efficiently, and to support the selection...
We believe the great interpretability of fuzzy models allow fuzzy-based methods to play a very important role in Microarray gene expression data analysis, but the advantages offered by fuzzy-based techniques in this application have not yet been fully explored in the literature. In this paper, we construct Multi-Objective Evolutionary Algorithms based Interpretable Fuzzy (MOEAIF) models for microarray...
Fault diagnosis is the task of identifying a faulty component in a complex system using data collecting from a test section. Diagnostic resolution, that is the ability to discriminate a faulty component in a set of possible candidates, is a property that the system model must expose to provide accuracy and robustness in the diagnosis. Such a property depends on the selection of an appropriate test...
Sixty fabrics with elasticity were made up into two hundred fifty eight samples to evaluate the touch and pressure sensation in this paper. Twelve female were selected as subjects for wear trials. Nineteen physical parameters of fabrics were measured by FAST system. Four principal factors were obtained through data reduction with factor analysis method. The objective evaluation model of wearing touch...
Two-phase amplitude and quadrature error of inductosyn have a great impact on the detection accuracy, through researching amplitude and quadrature error of inductosyn,eliminate its effects, and improve accuracy of inductosyn. First, analysis the characteristics of these two errors and their impact on the measurement accuracy. Then, research a new method, in the two position of 0?? and 90??, respectively...
To overcome the shortages of the existing financial prediction models such as strict hypothesis, poor generalization ability, low prediction accuracy and low learning rate etc., a new early warning model of financial crisis have established for listed company using Extreme Learning Machine. From five dimensions of solvency, operating-ability, profitability, cash-ability and grow-ability, fifteen financial...
In order to solve difficulties to build complex nonlinear EMC systems model and give an EMC design plan accurately, this paper present a nonlinear EMC simulation method based on grey system theory. Broadband components and harmonic components of subsystems were separated, and the grey nonlinear model of subsystem was designed. Then the grey model of the whole system was actualized. This method may...
Despite great efforts on the design of ultra-reliable components, the increase of system size and complexity has outpaced the improvement of component reliability. As a result, fault management becomes crucial in high performance computing. The advance of fault management relies on effective failure prediction. Despite years of research on failure prediction, it remains an open problem, especially...
Soft errors caused by ionizing radiation have emerged as a major concern for current generation of CMOS technologies and the trend is expected to get worse. Soft error rate (SER) measurement, expressed as number of failures encountered per billion hours of device operation, is time consuming and involves significant test cost. The cost stems from having to connect a device-under-test to a tester for...
We have investigated a technique for recognising faces invariant of facial expressions. We apply multi-linear tensor algebra, which subsumes linear algebra, to analyse and recognise 3D face surfaces. This potent framework possesses a remarkable ability to deal with the shortcomings of principle component analysis in less constrained situations. A set of vector spaces can be used to represent the variation...
The soft-error vulnerability of flip-flops has become an important factor in IC reliability in sub-100-nm CMOS technologies. In the present work the soft-error rate (SER) of a 65-nm flip-flop has been investigated with the use of alpha-accelerated testing. Simulations have been applied to study the flip-flop SER sensitivity in detail. Furthermore, an easy-to-use approach is presented to make an accurate...
Transient faults have become increasingly observable in combinational logic. This is due to the weakening of some inherent protective mechanisms that logic traditionally holds against such flawed spurious events. One of the aforementioned mechanisms relates to the propagation of transient faults along sensitizable paths. Existing literature that relies on logic simulation under estimates the number...
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...
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