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The RPCA model has achieved good performances in various applications. However, two defects limit its effectiveness. Firstly, it is designed for dealing with data in matrix form, which fails to exploit the structure information of higher order tensor data in some pratical situations. Secondly, it adopts L1-norm to tackle noise part which makes it only valid for sparse noise. In this paper, we propose...
For most physical stores, procuring customer behavior data and client management is di cult yet crucial. For stores, especially luxury stores, who value returning customers the most, identifying customer's identity and past purchase history would significantly improve the sales by personalizing the recommendation. Many chain stores utilize membership card to collect purchase information and change...
With the increasing of systems' scale and complexity, reliability analysis faces more challenges which mainly include hybrid uncertainty, implicit limit state function and numerous uncertain input variables. Non-intrusive polynomial chaos (NIPC) is a promising technology for uncertainty quantification with high efficiency and accuracy. However, as polynomial chaos is defined in probability space,...
Mutation Analysis (MA) is a fault-based simulation technique that is used to measure the quality of testbenches for mutant detections where mutants are simple syntactical changes in the designs. A mutant is said living if its error effect cannot be observed at the primary outputs. Previous works mainly focused on the cost reduction in the process of MA, because the MA is a computation intensive process...
In a prior work, we have developed both rate and perceptual quality models for temporal and amplitude (i.e., SNR) scalable video produced by the H.264/SVC encoder. In this paper, we validate from experimental data that the functional form of the rate model is applicable to H.264/AVC encoded video, which has the same temporal scalability but no SNR scalability, but the model parameter values differ...
Multiple linear models based laguerre function are provided to cover the uncertainty of a nonlinear discrete time system. Based on these models, a multiple model predictive controller is given. By using an index switching function, the transient response can be improved due to the switching among different models. From the result of simulation, the effectiveness of the controller proposed in this...
As planar MOSFETs is approaching its physical scaling limitation, FinFET becomes one of the most promising alternative structure to keep on the industry scaling-down trend for future technology generations of 22 nm and beyond. In this paper, we propose a unified reliability model of Negative Bias Temperature Instability (NBTI) and Hot Carrier Injection (HCI) for double-gate and triple-gate FinFETs,...
The manufacturing features of automobile gears, including geometric feature, structural feature and precision feature, were amply analyzed. According to the gear differences in design and manufacture, the gears were classified into cylindrical gears and bevel gears, models of which were respectively established with the O-O method. All of the models established in the article provide the information...
As technology scaling, more processing units (PUs) are integrated in multiprocessor system-on-chip (MPSoC) to achieve higher performance. Due to the higher variations resulted from reducing feature sizes and the needs of lower power consumption, on-chip monitoring of environmental information, such as thermal, voltage, and frequency, is becoming increasingly important. To address this need, sensors...
Node merging is a popular and effective logic restructuring technique that has recently been applied to minimize logic circuits. However, in the previous satisfiability (SAT)-based methods, the search for node mergers required trial-and-error validity checking of a potentially large set of candidate mergers. Here, we propose a new method, which directly identifies node mergers using logic implications...
This study aims to understand how perceived quality of a video varies as the frame rate changes. We find that an inverted falling exponential function can accurately reflect the trend observed from subjective testing. We further explore the relationship between the falling rate and the video content features, such as frame difference, motion, and contrast.
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