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Search Results: 1 - 10 of 67112 matches for " Fei Yang "
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Deep Cutting Plane Inequalities for Stochastic Non-Preemptive Single Machine Scheduling Problem  [PDF]
Fei Yang, Shengyuan Chen
American Journal of Operations Research (AJOR) , 2015, DOI: 10.4236/ajor.2015.52006
Abstract: We study the classical single machine scheduling problem but with uncertainty. A robust optimization model is presented, and an effective deep cut is derived. Numerical experiments show effectiveness of the derived cut.
Parabolic and near-parabolic renormalization for local degree three
Yang Fei
Mathematics , 2015,
Abstract: The theory of parabolic and near-parabolic renormalization developed by Inou and Shishikura behaves extremely useful in recent years. It leads to several progresses on the dynamics of quadratic polynomials. In this paper, we give an invariant class and extend the results of Inou and Shishikura to local degree three.
Rational maps without Herman rings
Fei Yang
Mathematics , 2013,
Abstract: We prove that a rational map has no Herman ring if it has at most one infinite critical orbit in its Julia set eventually. This criterion derives some known results about the rational maps without Herman rings.
DDA Simulations of Large Flume Tests and Large Landslides Triggered by the Wenchuan Earthquake  [PDF]
Qingqing Yang, Zhiman Su, Fei Cai
Journal of Applied Mathematics and Physics (JAMP) , 2014, DOI: 10.4236/jamp.2014.26043

This paper presents some numerical simulations using Discontinuous Deformation Analysis (DDA). First, DDA was applied to reproduce a series of granular flows released in a large flume. The comparison between simulated velocity and that measured in the tests demonstrates the effectiveness of DDA on description of kinematic behavior of blocky assembly. Simulated results were highly sensitive to the shape and angularity of blocky elements. Employing unrealistic block might result in different behavior from real situation. Second, three large landslides triggered by the Wenchuan earthquake were simulated. A well agreement with field data was obtained if apparent friction coefficient determined by post-analysis was adopted.

Research on Self Organizing of Internet of Things Nodes in Closed Area  [PDF]
Qian Zou, Wei Huang, Fei Long, Yang Yang
Journal of Computer and Communications (JCC) , 2018, DOI: 10.4236/jcc.2018.611030
In this paper, the intelligent application we designed focuses on a closed family area. ZigBee technology is mainly used to achieve the remote control. The most popular Android system is used in the design. The operation interface on the home intelligent gateway is completed through the designed system. It can allow people the full control by using smartphones. The system is operated and controlled through touch panel. Furthermore, it can be controlled remotely by using smartphones. ZigBee module is expected to be used to allow these devices to perform data transmission and collection. Some additional machinery, control circuits, and sensors will be designed for doors and windows. For example, a motor and a control circuit are installed to control doors and windows, and ZigBee is used to control the power input and drive the motor. Antitheft sensors, such as infrared sensors or light sensors, are installed to monitor the objects. Home gateway can collect ZigBee information on doors and windows, and an interactive mechanism is designed to take effective remote control.
System Identification of MEMS Vibratory Gyroscope Sensor
Juntao Fei,Yuzheng Yang
Mathematical Problems in Engineering , 2011, DOI: 10.1155/2011/829432
Abstract: Fabrication defects and perturbations affect the behavior of a vibratory MEMS gyroscope sensor, which makes it difficult to measure the rotation angular rate. This paper presents a novel adaptive approach that can identify, in an online fashion, angular rate and other system parameters. The proposed approach develops an online identifier scheme, by rewriting the dynamic model of MEMS gyroscope sensor, that can update the estimator of angular rate adaptively and converge to its true value asymptotically. The feasibility of the proposed approach is analyzed and proved by Lyapunov's direct method. Simulation results show the validity and effectiveness of the online identifier. 1. Introduction Gyroscopes are commonly used sensors for measuring angular velocity in many areas of applications such as navigation, homing, and control stabilization. Vibratory gyroscopes are the devices that transfer energy from one axis to another axis through Coriolis forces. The conventional mode of operation drives one of the modes of the gyroscope into a known oscillatory motion and then detects the Coriolis acceleration coupling along the sense mode of vibration, which is orthogonal to the driven mode. The response of the sense mode of vibration provides information about the applied angular velocity. Fabrication imperfections result in some cross-stiffness and cross-damping effects that may hinder the measurement of angular velocity of MEMS gyroscope. The angular velocity measurement and minimization of the cross-coupling between two axes are challenging problems in vibrating gyroscopes. Ioannou and Sun [1] and Tao [2] described the model reference adaptive control. Chou and Cheng [3] proposed an integral sliding surface and derived an adaptive law to estimate the upper bound of uncertainties. Some control algorithms have been proposed to control the MEMS gyroscope. Batur and Sreeramreddy [4] developed a sliding mode control for a MEMS gyroscope system. Leland [5] presented an adaptive force balanced controller for tuning the natural frequency of the drive axis of a vibratory gyroscope. Novel robust adaptive controllers are proposed in [6, 7] to control the vibration of MEMS gyroscope. Sung et al. [8] developed a phase-domain design approach to study the mode-matched control of MEMS vibratory gyroscope. Antonello et al. [9] used extremum-seeking control to automatically match the vibration mode in MEMS vibrating gyroscopes. Feng and Fan [10] presented an adaptive estimator-based technique to estimate the angular motion by providing the Coriolis force as the input to the
Shift Unitary Transform for Constructing Two-Dimensional Wavelet Filters
Fei Li,Jianwei Yang
Journal of Applied Mathematics , 2011, DOI: 10.1155/2011/272801
Abstract: Due to the difficulty for constructing two-dimensional wavelet filters, the commonly used wavelet filters are tensor-product of one-dimensional wavelet filters. In some applications, more perfect reconstruction filters should be provided. In this paper, we introduce a transformation which is referred to as Shift Unitary Transform (SUT) of Conjugate Quadrature Filter (CQF). In terms of this transformation, we propose a parametrization method for constructing two-dimensional orthogonal wavelet filters. It is proved that tensor-product wavelet filters are only special cases of this parametrization method. To show this, we introduce the SUT of one-dimensional CQF and present a complete parametrization of one-dimensional wavelet system. As a result, more ways are provided to randomly generate two-dimensional perfect reconstruction filters.
Epigenetic regulation: methylation of histone and non-histone proteins
Fei Lan,Yang Shi
Science China Life Sciences , 2009, DOI: 10.1007/s11427-009-0054-z
Abstract: Histone methylation is believed to play important roles in epigenetic memory in various biological processes. However, questions like whether the methylation marks themselves are faithfully transmitted into daughter cells and through what mechanisms are currently under active investigation. Previously, methylation was considered to be irreversible, but the recent discovery of histone lysine demethylases revealed a dynamic nature of histone methylation regulation on four of the main sites of methylation on histone H3 and H4 tails (H3K4, H3K9, H3K27 and H3K36). Even so, it is still unclear whether demethylases specific for the remaining two sites, H3K79 and H4K20, exist. Furthermore, besides histone proteins, the lysine methylation and demethylation also occur on non-histone proteins, which are probably subjected to similar regulation as histones. This review discusses recent progresses in protein lysine methylation regulation focusing on the above topics, while referring readers to a number of recent reviews for the biochemistry and biology of these enzymes
Amygdalin Attenuates Atherosclerosis Progress Through Inhibiting of Toll-Like Receptors Expression and Activity
Fei Zhao,Zhirong Yang
Journal of Animal and Veterinary Advances , 2012, DOI: 10.3923/javaa.2012.1613.1621
Abstract: Toll-Like Receptors (TLRs) and TLR signaling cascade play a pivotal role in the innate immune responses, especially in initiation and progression of atherosclerosis. Thus in the present study, researchers examined the anti-atherosclerosis effects of amygdalin and explored whether the anti-atherosclerosis function was achieved via inhibiting TLRs expression and TLR signaling. ApoE knockout mice were fed on high fat diet and received daily injection of amygdalin. By comparing lipid profiles, atherosclerotic lesions and serum proinflammatory cytokine concentrations, mice untreated with amygdalin experienced more severe atherosclerosis compared with mice received amygdalin treatment. TLR2 and TLR4 mRNA and protein levels were found to be reduced after amygdalin treatment. Expression of key MyD88-dependent signaling components was inhibited by amygdalin. Amygdalin may play a protective role in the development of atherosclerosis via the inhibition of TLR2 and TLR4 expression.
Broadcasting with Prediction and Selective Forwarding in Vehicular Networks
Jianjun Yang,Zongming Fei
International Journal of Distributed Sensor Networks , 2013, DOI: 10.1155/2013/309041
Abstract: Broadcasting in vehicular networks has attracted great interest in research community and industry. Broadcasting on disseminating information to individual vehicle beyond the transmission range is based on inter-vehicle communication systems. It is crucial to broadcast messages to other vehicles as fast as possible because the messages in vehicle communication systems are often emergency messages such as accident warning or alarm. In many current approaches, the message initiator or sender selects the node among its neighbors that is farthest away from it in the broadcasting direction and then assigns the node to rebroadcast the message once the node gets out of its range or after a particular time slot. However, this approach may select a nonoptimal candidate because it does not consider the moving status of vehicles including their moving directions and speeds. In this paper, we develop a new approach based on prediction of future velocity and selective forwarding. The current message sender selects the best candidate that will rebroadcast the message to other vehicles as fast as possible. Key to the decision making is to consider the candidates’ previous moving status and predict the future moving trends of the candidates so that the message is spread out faster. In addition, this approach generates very low overhead. Simulations demonstrate that our approach significantly decreases end-to-end delay and improves message delivery ratio. 1. Introduction Vehicular ad hoc networks (VANETs) are mobile ad hoc networks (MANETs) between road-bound vehicles such as cars and trucks. Vehicles play important roles in our daily life. Nowadays, vehicles are becoming more and more intelligent. Smart vehicles integrate environment-aware, route-planning, decision-making and drive-assistant technologies. The technologies contain computers, sensors, communication, artificial intelligence, and control technology [1]. VANET has attracted considerable attention from both research community and automotive industry. Many automobile manufacturers started planning to build communication devices into their vehicles for purposes of security, convenience, and comfort. In addition, the increasing importance of VANET has been recognized by the governmental organizations. The Federal Communications Commission (FCC) has allocated particular spectrum for intervehicle communications. Many attractive applications have emerged [2] with the development of the VANET. The first application is “Collision Avoidance.” About 40 thousand deaths occur every year in USA [3]. Many of them are
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