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This paper addresses issues in multi-class visual object classification, where sequential learning and sensor fusion are exploited in a unified framework. We adopt a novel method for head pose classification using RGB and depth images. The main contribution of this paper is a multi-class AdaBoost classification framework where information obtained from RGB and depth modalities interactively complement...
The sparse representation of signals with respect to an over-complete dictionary has been of recent interest in a broad range of applications. One of the most used methods for obtaining sparse codes, the Lasso problem, becomes computationally costly for large dictionaries and this hinders the use of this approach to large-scale decision tasks. Recently, dictionary screening has been used to address...
Complex networks have attracted a lot of attention for representing relational data, where the weights of the edges, where edges' weights show the strength of relationships. Complex networks have found numerous applications in social and biological sciences. Studying the topology of these networks is important for a better understanding of the underlying systems and data. Currently, most of the network...
Change detection problem refers to the detection of abnormal regimes and incipient faults of electrical circuits, devices or equipments. The problem is coming more and more important as the requirements for high and constant quality, low maintenance and high reliability of complex electronic products are continuously increasing. Classical methods use statistical signal processing techniques, various...
Novelty detection plays an important role in machine learning and signal processing. This paper studies novelty detection in a new setting where the data object is represented as a bag of instances and associated with multiple class labels, referred to as multi-instance multi-label (MIML) learning. Contrary to the common assumption in MIML that each instance in a bag belongs to one of the known classes,...
This paper presents the development of a PC-based relay test bench and an arbitrary waveform generator using an open-source Real-Time Application Interface (RTAI) in Linux environment. Such a setup not only permits the generation of any arbitrary waveforms: steady-state signals as well as transients, but also simplifies the testing of various single-phase or three-phase static relays such as over-voltage...
Suppose among a set of N covariates X1, X2, …, XN there is a subset S of covariates that are salient for predicting outcomes Y. Specifically, we assume that when Y is conditioned on {Yk}k∈S it is independent of the other covariates. Our goal is to identify the subset S from data samples of the covariates and the associated outcomes. We first consider the case where the covariates are independent of...
In this paper we apply common spatial pattern (CSP) to the classification of electrooculography (EOG) signals with four distinct classes, namely, eye blinks (EB), eye rotation clockwise (ERC), vertical eye movement (VEM) and horizontal eye movement (HEM). We first describe the CSP and Linear Discriminant Analysis (LDA) algorithms with two classes. We apply the classification method to a database with...
Platelet aggregation assay is important in mediating platelet thrombus formation for both medical treatment and prevention. Therefore quick and accurate automatic analyzers for clinic are of urgent requirement all the time. In this paper, design and implementation of embedded control and management system for novel automatic platelet aggregometer is presented, which comes to rapid and quantitative...
In the first part of this paper, we derive a generic form of optimization for binary hypothesis testing. We show that information theoretical as well as the proposed singular value decomposition (s.v.d.) based optimization methods are special cases of this generalization. In terms of robustness, neither the information theoretical nor the s.v.d. based optimization method has a contribution for decentralized...
Adoption of IEEE Std 1641-2010. This standard provides the means to define and describe signals used in testing. It also provides a set of common basic signals, built upon formal mathematical specifications so that signals can be combined to form complex signals usable across all test platforms.
This paper proposes a real approve design of inexpensive digital circuit testing environment that simplifies functional testing of Integrated Circuits (IC's) and digital circuits. Using this technique will lead to get the decision making if the module functions properly or not. This environment consists of the tester hardware and its corresponding software which enables both engineers and technicians...
In order to detect the small defect, the empirical mode decomposition (EMD) method is employed to process the magnetostrictive guided wave testing signal. Firstly, the principle of the EMD is introduced. Then, the experimental setup is developed to obtain guided wave testing signals. Both the prestressing strand and the parallel wire cable have been manufactured grooves in the wires. It is difficult...
It discussed the basic methods of measuring speed and corresponding error. And it analyzed the relationship between signal pulses per revolution and measurement accuracy, and it analyzed the error of measuring frequency and measuring period with a certain signal pulses per revolution. It presented the corresponding relation curves and proposed a sub-optimal solution of speed measurement.
The design of data acquisition and signal processing system of mechanical vibration signal was realized based on LabVIEW graphical programming language. The system includes hardware and software. The hardware part consists of a piezoelectric acceleration sensor, a charge amplifier, one data acquisition card, PC and vibration experiment table; the software part completes the program design of data...
Automatic tracking of movement disorders in patients with Parkinson's disease (PD) is dependent on the ability of machine learning algorithms to resolve the complex and unpredictable characteristics of wearable sensor data. The challenge reflects the variety of movement disorders that fluctuate throughout the day which can be confounded by voluntary activities of daily life. Our approach is the development...
Automatic tracking of movement disorders in patients with Parkinson's disease (PD) is dependent on the ability of machine learning algorithms to resolve the complex and unpredictable characteristics of wearable sensor data. The challenge reflects the variety of movement disorders that fluctuate throughout the day which can be confounded by voluntary activities of daily life. Our approach is the development...
Time-frequency signal representations are modern methods of signal processing, which can also be applied to test the homogeneity of the Poisson process. They can therefore be used to search for an unconventional reliability growth model (RGM) of electronic systems. In this paper we will present an approach to searching for unconventional reliability growth models of electronic system by testing the...
Investigating and designing the A/D sampling circuit, at the same time designing the data transfer circuit based on the AT89C5131 USB interface. Firstly converting the analog signals into the digital signals by the A/D sampling circuit, and then transforming the digital signals to AT89C5131 MUC. AT89C5131 MUC transfer data to computer by USB interface, and then processing data by computer. Result...
The signal processing flow for the MTF test bench that is based on Fourier analysis method is presented. The signal processing flow mainly consists of three parts that are Fourier analyzing, background correction and system attenuation elimination. The center of the pinhole area is recognized automatically and the line spread functions (LSF) of both sagittal and tangential directions are calculated...
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