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Accurate statistical models for hyperspectral imaging (HSI) data are fundamental for many subsequent applications including detection, classification, and estimation. Suppose the whole nonhomogeneous HSI data is well classified into homogeneous unimodal clutters, we find that the family of elliptically contoured distributions (ECDs) is capable of providing sufficiently accurate model for each clutter...
Each stage is influence on product quality in multistage manufacturing process. When product have some problem, the traditional statistical process control method was not detected the exact errant reason timely due to the interaction of each stage. On the basis of the variation transmission model, the conception of virtual stage is proposed. Then, by the hypothesis testing, the stage having errant...
We address the task of detecting surprising patterns in large textual data streams. These can reveal events in the real world when the data streams are generated by online news media, emails, Twitter feeds, movie subtitles, scientific publications, and more. The volume of interest in such text streams often exceeds human capacity for analysis, such that automatic pattern recognition tools are indispensable...
The transmission transformer represent a significant asset in the electrical network. The transformer is expensive to manufacture and it is costly to replace. The cost of the transformer replacement is approximately 4 million EURO which is larger than the average component replacement activity. Therefore it is desired to make the replacement both timely and smooth to reduce unnecessary costs. Life...
A comparison among three linear methodologies, a novel auto-adjusted fuzzy quadruple TSK model (QA-TSK) and two evolutionary decision tree representations, is presented in this paper. The three architectures make use of a vast number of primitives utilised to reconfigure and evolve their internal structures of the classifier models so that to discriminate among spatial physical activities. Such primitives...
Rainfall forecasting is vital for making important decisions and performing strategic planning in agriculture-dependent countries. Despite its importance, statistical rainfall forecasting, especially for long-term, has been proven to be a great challenge due to the dynamic nature of climate phenomena and random fluctuations involved in the process. Artificial Neural Networks (ANNs) have recently become...
This paper describes the development of adaptive test in response to the ever growing need to dynamically and cost effectively tailor IC testing to discriminately manage manufacturing process variations. Various degrees of adoption are presented, together with benefits and examples of it's use. Finally, challenges for future development are discussed.
Compared to traditional service, the characteristics of the customer behavior in electronic service are personalized demand, convenient consumed circumstance and perceptual consumer behavior. Therefore, customer behavior is an important factor to facilitate online electronic service. The purpose of this study is to explore the key success factors affecting customer purchase intention of electronic...
This paper presents two statistical methods for determining a voice quality degradation event that relies on call duration analysis, approach that is suitable for large call volume systems with little processing power requirements. For the analysis we used real life data (460000 calls) and 387 customer complaints from a prepaid long distance provider. We are showing that, on average, more than 80%...
An evaluation for amplifier performance based on feature double weighted support vector machine was proposed in this paper. The evaluation system structure was conformed, relied on the college analog electronic technology experiments, adopted the amplifier performance four indexes obtained via amplitude-frequency tester in one year to construct training set, and then to be four classifier evaluation...
This paper aims to conduct supervised learning of the cigarette-smoking signatures from the placental gene expression data sets under the neural network framework and build classifiers to identify the cigarette-smoking moms during pregnancy. First, a unified model for gene selection is proposed to single out a set of informative gene sets (up-or down-regulated genes). The selected signature gene sets...
Statistical analysis of Ultra-Wideband (UWB) signals is undertaken to examine the existence of short term fading and shadowing. Based on the data collected from multiple locations and 4 different sites using a single transmitter and a 96-element receiving antenna in the 2-8 GHz range, hypothesis testing was performed to explore the statistical fit to composite probability density functions such the...
This paper introduces a speech recognition system of Mandarin continuous digits based on Sphinx. The acoustic model of this system is produced by SphinxTrain, and the language model is acquired from the Cmuclmtk statistical language model. In addition, this system makes use of PocketSphinx recognition engine as a decoder. According to the experiment, the correct rate of this system to a sentence of...
Fire detection using video offers a novel way of detecting fire in spaces where conventional smoke-based fire detectors tend to exhibit high false alarm behavior. This paper explores a simple algorithm for flame detection based on the use of a modified histogram back projection algorithm in YCbCr colour space.
Testing stochastic optimisation algorithms presents an unique challenge because of two reasons. First, these algorithms are non-testable programs, i.e. if the test oracle was known, there wouldn't have been the need for those algorithms in the first place. Second, their performance can vary depending on the problem instances they are used to solve. This paper applies the statistical metamorphic testing...
The conventional approach to Risk Assessment in Software Testing is based on analytic models and statistical analysis. The analytic models are static, so they don't account for the inherent variability and uncertainty of the testing process, which is an apparent deficiency. This paper presents an application of Six Sigma and Simulation in Software Testing. DMAIC and simulation are applied to a testing...
In this paper, a novel automated method to recognize centroblast (CB) cells from non-centroblast (non-CB) cells in follicular lymphoma cases is developed and its performance is evaluated against consensus of 30 board-certified hematopathologists. Morphometric and color texture features are used in the training and testing of a supervised quadratic discriminate analysis (QDA) classifier. The novelty...
We present an automatic testing procedure to evaluate massive amounts of CNT-FETs that have been fabricated as a test vehicle. The procedure has been used to evaluate almost 140,000 CNT-FET devices that had been batch fabricated in a 4 inch wafer. The possibility of using data obtained from the automatic testing to achieve statistical analyses on device fabrication and on device electric characteristic...
With the advancement in communication industries going at a rapid pace, the crucial role of EDA (electronic design automation) tools in virtually every aspect of communication circuit design, fabrication and testing is inevitable. Semiconductor scaling limits for communication devices are forcing designers to look in to novel circuit and design techniques which necessitates for greater modeling complexity...
This paper focuses on the introduction of time durations to Model Based Statistical Testing. The concepts presented allow specifying durations of inputs and outputs within the test model. Three basic time restrictions are introduced: A stimulus must be shorter than a certain time, a stimulus must be longer than a certain time and a stimulus must have a duration within a given interval. The approach...
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