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To achieve the automotive quality for semiconductor devices represented by “zero defect”, “PAT” is actively applied to outgoing test. “PAT” has been generally used on wafer level test. This time we expanded it to package level test and established the method to detect the characteristic variations and to screen out the outliers.
Tiny target detections, especially power line detection, have received great attention due to its critical role in ensuring the flight safety of low-flying unmanned aerial vehicles (UAVs). In this paper, an accurate and robust power line detection method is proposed, wherein background noise is mitigated by an embedded convolution neural network (CNN) classifier before conducting the final power line...
This paper introduces a novel method for extracting sets of feature from 3D objects characterising a robust steganalyzer. Specifically, the proposed steganalyzer should mitigate the Cover Source Mismatch (CSM) paradigm. A steganalyzer is considered as a classifier aiming to identify separately cover and stego objects. A steganalyzer behaves as a classifier by considering a set of features extracted...
The power signature of an intellectual property (IP) core during its test has been proposed as a watermark that can reveal if it is used without proper authorization within a System on Chip (SoC). In this paper we show that the classic application of this method is not viable in the current SoC era. Our experimental results indicate that the core power signature would be indistinguishable in a SoC...
In recent years, association networks and their applications have received increasing interest. The relationships in a network should ideally be ascertained without any preconceptions about the existence of a connection a priori. This would allow interpretations to be based on the underlying structure rather than on assumptions. Furthermore, a method that discounts outside influence on the relationships...
This work proposes a criterion to select a subset of indirect measurements avoiding redundant information. The key idea of the proposal is to reduce the actual number of measurements to be performed to those strictly providing relevant information to the testing procedure, therefore keeping the incurred misclassification costs at acceptable levels. The proposed method selects the measurements presenting...
This work presents a system for point-of-care testing of urine quality through conductivity and pH. The conductometric system consists of a DDS sine-wave generator, current source and instrumentation amplifiers. The potentiometric readout consists of a floating bridge-type CVCC circuit with transmission gates for interfacing with FET-based sensor arrays. Temperature and offset compensation with EGFET...
Applications are generally written assuming a predictable and well-behaved OS. In practice, they experience unpredictable misbehavior at the OS level and across OSes: different OSes can handle network events differently, APIs can behave differently across OSes, and OSes may be compromised or buggy. This unpredictability is challenging because its sources typically manifest during deployment and are...
The emergence of network television (IPTV) has heavily promoted development of the technology and prosperity of the market in the TV industry. In order to win in the fierce competition, IPTV content providers need to be sure to provide users with interesting service, and operators also need to ensure quality of service transmission so that they can improve users quality of experience (QoE). How to...
In a management system of the quality of concrete in construction sites, a destructive test is always present in the quality assurance procedure (QAP) to assess concrete strengths of the structure (column, beam, insole … etc), if the resistance measured by laboratory crushing of the cylinders is greater than what was provided in the study phase, we say that there satisfaction results and the construction...
This paper presents a new gesture recognition algorithm that uses different features obtained from MYO sensor. To preserve the spatial and temporal alignment for different features of each movement, Two Dimensional Principal Component Analysis 2DPCA is employed to obtain the dominant features by processing the obtained data in its 2D form. Canonical Correlation Analysis CCA is used to find a space...
In previous studies, no consensus has been reached on the existence of significant correlation between perception and production. A large number of empirical studies have been done upon first and second languages from different language families. However, few studies were carried out on the perception-production relation of Chinese English learners. Therefore, in the current study, under the theoretical...
A design optimization method based on dependency model is proposed for Built-in test design in Prognostics and Health Management. Firstly, simplify the dependency model, eliminate the redundant test and merge the fuzzy fault model. Secondly identify the minimum test vector matrix to each fault mode. Under the principles of reliability and costs, determine the optimal test vector, which is used as...
Mutation testing is a well-known method for measuring a test suite's quality. However, due to its computational expense and intrinsic difficulties (e.g., detecting equivalent mutants and potentially checking a mutant's status for each test), mutation testing is often challenging to practically use. To control the computational cost of mutation testing, many reduction strategies have been proposed...
The approach proposed in this paper engages FFT to the linear analog circuit specifications determination. The method allows to calculate the observed circuit under test parameter based on the step response analysis. The approximating equation that models the relationship between the selected frequency components and the observed specification is determined by means of multiple linear regression....
The automatic authority control problem is considered. One possible solution is to use the record linkage approach for authority and bibliographic records. The main aim of this paper is to figure out which concepts and methods are most useful for dealing with our data. An approach based on machine learning method (classification) is considered. A comparative study of different distances and feature...
Supervised classification techniques use labeled samples in order to train the classifier. In a hyperspectral image, usually the number of such samples is limited, and as the number of bands available increases, this limitation becomes more severe. Such consequences suggest the need for reducing the dimensionality via a preprocessing method. This reduction should enable the estimation of feature extraction...
With the availability of high resolution digital technology, there has been increased interest in developing statistical and image processing techniques that can enhance the existing capabilities of analyzing works of art for authenticity. This work explores the merits of using advanced correlation filters in supplementing art experts efforts in identifying forgeries among disputed paintings. We show...
Automated classification of HEp-2 cell images is crucial for fast and accurate detection of autoimmune diseases. Recent competitions resulted in high classification rates on publicly available datasets. However, performance on low-resolution HEp-2 images typically lagged behind that of high-resolution images due to the blurring and sub-sampling of fine cellular details. Direct interpolation of low-resolution...
Facial age estimation is an important and challenging problem in computer vision and pattern recognition. Linear canonical correlation analysis (CCA) has been widely applied owing to low complexity, small and fixed amount of model parameters and good scalability. However, linear CCA based regression gets lower accuracy than its kernel version on the age estimation problem. The inexactness of metric...
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