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A failure analysis of a product due to the on chip ESD structure defects is presented in this paper. ESD is one of the most important reliability issues in the design of integrated circuits. About 40% of the failure of integrated circuits is related to ESD/EOS stress. In order to improve the reliability of ICs, the design of ESD protection is increasingly necessary for the modern semiconductor industry...
With the rapid development of Internet technology, online documents on the Internet have become an important source of information. In particular, web financial texts have become vital source of financial information. As a result of the large amount of financial information on the Internet, ordinary users are unable to easily filter out v 1 aluable financial information in a short time, and relying...
The lithosphere is the most stored reservoir of carbon on Earth. The study of the effects of rock weathering and in the atmosphere provides an important basis for accurate prediction of CO2 in the atmosphere, which is essential for predicting global climate change. One of the main factors that has been neglected in the global carbon cycle study of carbonate weathering carbon sinks is the rate problem...
In this paper a new way of timing discrimination to measure the timing point of echo signal in pulsed laser rangefinder is presented. This method is an improvement program of high-pass filter scheme. With multiple differential processing of pulsed laser echo signal through high-pass filter circuit, the timing point of laser echo signal will multiple forward approximately. The final identification...
Single-shot real-time characterization of optical waveforms with sub-picosecond resolution is essential for investigating various ultrafast optical dynamics. However, the finite temporal record length of current techniques hinders comprehensive understanding of many intriguing ultrafast optical phenomena that evolve over a time scale much longer than their fine temporal details. Inspired by the space-time...
Broadband and ultra-broadband half-wave plates with composite design were previously experimentally demonstrated by E. Dimova et. al., in Opt. Commun. 366, 382 (2016). To achieve broadband and ultra-broadband performance, the authors utilized the relative rotation between the individual identical half-wave plates as control parameters, thus simulating the well-known control technique of composite...
This study intended to develop an assessment program based on three BW cognitive diagnostic models, i.e., response pattern model, concept mastery model, and competence proficiency model. The first model was designed to measure the probabilies for individual students answering items correctly. The second and third models were designed to measure probabilies for individual students mastery on specific...
In current research, carbon cycle for global change are mechanically treated. Generally, climate-physics systems and biological processes were usually as short-time scale, fossil fuel-forming were considered as medium-time scale, and all geological processes (including karstification) were treated as long-term scale. As a result, the influences from geological action were neglected in the process...
At present, APD (Avalanche Photo Diode) arrays LIDAR (Light Detection and Ranging) has been broadly accepted as an important means to obtain 3D (Three Dimensional) data. A new method of a scalable adaptive N × N channel communication system is introduced in the paper, which is aimed at improving the transmission rate of APD array LIDAR data. This paper presents the research on multi-channel communication...
We propose a novel ultrafast electronic switching device based on dual-graphene electron waveguides, in analogy to the optical dual-channel waveguide device. The design utilizes the principle of coherent quantum mechanical tunneling of Rabi oscillations between the two graphene electron waveguides. Based on a modified coupled mode theory, we construct a theoretical model to analyze the device characteristics,...
We present a deep convolutional recurrent neural network for speech emotion recognition based on the log-Mel filterbank energies, where the convolutional layers are responsible for the discriminative feature learning. Based on the hypothesis that a better understanding of the internal configuration within an utterance would help reduce misclassification, we further propose a convolutional attention...
Deep convolution networks based strategies have shown a remarkable performance in different recognition tasks. Unfortunately, in a variety of realistic scenarios, accurate and robust recognition is hard especially for the videos. Different challenges such as cluttered backgrounds or viewpoint change etc. may generate the problem like large intrinsic and extrinsic class variations. In addition, the...
In this paper, we propose the bias-compensated distributed diffusion LMS algorithm to estimate the parameter in the presence of multiplicative regressor noise to mitigate the estimation bias caused by multiplicative regressor noise. In the case where the multiplicative regressor noise exists, the estimate produced by standard distributed diffusion LMS algorithm will be biased. To validate the algorithm,...
This paper presents a learning-based method for recognizing chess pieces from depth information. The proposed method is integrated in a recreational robotic system that is designed to play games of chess against humans. The robot has two arms and an Ensenso N35 Stereo 3D camera. Our goal is to provide the robot visual intelligence so that it can identify the chess pieces on the chessboard using the...
Recent years have seen increased attention being given to measure Heart Rate with remote-PPG. Previous work mainly focused on optimal signal extraction from three channels of a webcam. Several robust signal extraction methods using either optic models or frequency analysis have been discussed before. After applied these algorithms, residual noise still emerges occasionally with short time duration...
This paper utilizes the quantitative feedback theory (QFT) to design a robust controller for adaptive cutting feedrate control. The proposed algorithm could dynamically change the feedrate according to the spindle current which is highly related to the measured cutting force. The QFT controller could provide the constant cutting force even under different cutting condition. Hence, the machining efficiency...
Proactively pushing content to users has emerged as a promising way of coping with the explosively growing traffic demand of next-generation mobile networks. However, it is still unclear whether content pushing can improve the energy efficiency of hard delay-constrained communications over additive white Gaussian noise (AWGN) channels. With pushing, the energy consumption can be reduced by increasing...
A dual-mode receiver architecture with tens-MHz channel bandwidth at microwave mode and GHz channel bandwidth at millimeter-wave mode is demonstrated in this work with a tunable active filter for RF channel selection at microwave mode using 0.18 μm SiGe BiCMOS technology. A dual conversion is employed to accommodate the wide-channel-bandwidth 60-GHz mode at the first conversion stage and the high-level-modulation...
Nowadays, how to eliminate negative effect of service failure through service recovery and increase consumers' repurchase intention, has become an important problem for e-vendors. From the service recovery quality perspective, this paper focuses service recovery issue in e-business. By dividing service recovery quality into four dimensions: interactive quality, process quality, environmental quality...
As the key to both offline and online business, consumers' trust to retailers always influences their purchase decision. In recent years, based on the traditional business, more and more click and mortar companies spring up. But could consumers' trust transfer from offline to online channel? And how? Extant researches lack deep exploration for these questions. In this study, introducing perceived...
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