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This paper investigates the problem of the fault isolation for Takagi-Sugeno (T-S) fuzzy systems. Based on set theory, the residual signal can be unaffected by the fault, which is to be isolated, then, the fault can be isolated successfully. In addition, the fault isolation performance can be enhanced by considering H−/H∞ performance index. Furthermore, based on the linear matrix inequalities (LMIs)...
The research shows that primary pipe network leak will cause the fluctuations of temperature and conductance around the leak point. There is a complex non-linear relationship between the pipeline leakage and physical quantity, and the leakage of the pipeline can not be assessed by the change of the single physical quantity. In this paper, the assessment model of the leakage degree of the pipe network...
In this paper we propose a new solution to the text detection problem via border learning. Specifically, we make four major contributions: 1) We analyze the insufficiencies of the classic non-text and text settings for text detection. 2) We introduce the border class to the text detection problem for the first time, and validate that the decoding process is largely simplified with the help of text...
We design and experimentally fabricate a 8×8 arrayed waveguide grating router(AWGR) with a channel spacing of400 GHz based on silicon-on-insulator (SOI) platform. The arrayed waveguide region of this device is horseshoe-shaped to realize a small footprint of 730 μm × 580 μm. Experimental results show good cyclic performance. The crosstalk and insertion loss are about −21 dB and 2.7 dB, respectively...
With advantages of non-contact, high energy density and local heating, the laser jet solder ball bonding (SBB) technique provides a flexible packaging method for three dimensional (3D) package structure and temperature sensitive components. In previous works, the microstructure and reliability of solder joints fabricated by laser jet SBB were studied. In recent studies, the essential factors influencing...
Facial landmark detection, head pose estimation, and facial deformation analysis are typical facial behavior analysis tasks in computer vision. The existing methods usually perform each task independently and sequentially, ignoring their interactions. To tackle this problem, we propose a unified framework for simultaneous facial landmark detection, head pose estimation, and facial deformation analysis,...
In service supply chains, customers select a service provider with whom value would be maximized through the interaction between the service provider and the customer. This study investigates the link between value co-creation and customers' (re)purchasing intentions in the financial and professional services industry. This research was conducted via a case study of PricewaterhouseCoopers (PwC) and...
Automatic train supervision (ATS) systems are designed to improve the reliability of train services. An ATS system coordinates the trains and other systems in a metro and records alarms if faults occur. In this work, we propose a context-aware anomaly diagnosis tool to analyze the underlying causes of alarms for ATS system. Using 61-day data collected from an operational ATS system, we apply our diagnosis...
Urban railway systems, as the most heavily used systems in daily life, suffer from frequent service disruptions resulting millions of affected passengers and huge economic losses. Maintenance of the systems is done by maintaining individual devices in fixed cycles. It is time consuming, yet not effective. Thus, to reduce service failures through smart maintenance is becoming one of the top priorities...
The failure of operating mechanism occupies the absolute majority of the high voltage circuit breaker failure. Identification and prediction of operating mechanism of the failure of high voltage circuit has a great effect in breaker maintenance and overhaul. In this paper, a mechanical status identification method based on covariance matrix is used to get mechanical characteristic signals from the...
We propose EPAT, (Euclidean Perturbation Analysis and Transform) a novel unsupervised adaptation approach for improving the accuracy of any facial landmark detector by characterizing the stability of landmark prediction on test images. In EPAT, a test image is transformed several times using a set of Euclidean transforms, producing several perturbed images. The black box landmark detector is used...
Classically, face recognition depends on computing the similarity (or distance) between a pair of face images and/or their respective representations, where each subject is represented by one image. Template-based face recognition was introduced by the release of IARPA's Janus Benchmark-A (IJB-A) dataset, in which each enrolled subject is represented by a group of one or more images, called a template...
Cascade regression framework has been successfully applied to facial landmark detection and achieves state-of-the-art performance recently. It requires large number of facial images with labeled landmarks for training regression models. We propose to use cascade regression framework to detect eye center by capturing its contextual and shape information of other related eye landmarks. While for eye...
Soft errors are increasing in modern computers. These faults can corrupt the results of scientific simulations. This work studies error propagation by a bit flip in conjugate gradient (CG) methods. We will also introduce adaptivity to selective reliable fault-tolerant (SRFT) solvers. Our study reduces the compute-intensive reliability steps in SRFT solvers.
In automatic speech recognition (ASR), error correction after the initial search stage is a commonly used technique to improve performance. Whilst completely automatic error correction, such as full second pass rescoring using complex language models, is widely used, directed error correction, where the error locations are manually given, is of great interest in many scenarios. Previous works on directed...
Punctuation plays an important role in language processing. However, automatic speech recognition systems only output plain word sequences. It is then of interest to predict punctuations on plain word sequences. Previous works have focused on using lexical features or prosodic cues captured from small corpus to predict simple punctuations. Compared with simple punctuations, rich punctuations provide...
This paper presents a new power control strategy of grid-connected converter under grid fault conditions. Positive-and negative-sequence reactive power are controlled separately in order to effectively support unbalanced grid voltage. Both maximum phase current limit and maximum active power oscillation limit are taken into consideration which makes the converter operate safely under grid faults....
We present a fully trainable solution for binarization of degraded document images using extremely randomized trees. Unlike previous attempts that often use simple features, our method encodes all heuristics about whether or not a pixel is foreground text into a high-dimensional feature vector and learns a more complicated decision function. We introduce two novel features, the Logarithm Intensity...
This article addresses the problems of fault tolerant control (FTC) and fault estimation (FE) for T-S fuzzy systems with immeasurable premise variables, faults, and external disturbances. First, two observers are established, which are used for estimate the disturbance and fault signals, respectively. The merits of the proposed observers are that the observers have stable error dynamics, even if they...
In the next generation (5G) wireless networks, device-to-device (D2D) communication is an important technology to improve frequency efficiency and provide proximity service. In this paper, we focus on a scenario where spare frequency resources in a cellular network are exploited by D2D users to provide local service. Considering the fact that the channel quality experienced by an end user varies from...
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