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Linear direct feed drives are widely used in high performance equipment and machine tools, but the abrupt counter force to the machine frame from the secondary part of the linear motor induces possible residue vibration. The jerk decoupling cartridge (JDC) provides a buffer to reduce such an impact. However, no existing JDC design considers the factors of closed-loop control together with mechanical...
In this paper, we investigate the dynamics of Chinese stock market from a complex network perspective, based on daily fluctuations of all stocks during 1906 working day period from 2005 to 2012. In the network being constructed, each node is a stock, and each edge indicates the time correlation coefficient of two stocks over a window of T days. The network evolves chronologically as the window slides...
The shortest path problem, one of classic topic in the field of Graph Theory and path search, majors in the method about how to find the shortest path between two nodes in a directed-graph. Based on observing the relationship between water flow rate and pipe diameter in a pipeline network, the paper puts forward a kind of multi-thread parallel path search algorithm deriving of Hydrokinetics, namely...
In this paper, we propose a kind of quitting smoking model with age structure, in which we consider two control measures, i,e., propaganda and education for the public and treatment for the smokers, in order to achieve the desired effect of smoking cessation. We calculated the threshold of smoking, and put forward an objective function. Based on Pontryagin Maximum Principle(PMP), we discuss issues...
In this paper, we investigate the dynamics of Chinese stock market from a complex network perspective, based on daily fluctuations of all stocks during 1906 working day period from 2005 to 2012. In the network being constructed, each node is a stock, and each edge indicates the time correlation coefficient of two stocks over a window of T days. The network evolves chronologically as the window slides...
Fruitful research has been done for network reconstruction by taking sparsity or other similar statistical properties into consideration. By contrast, this paper sought to recover the network structure by means of a hybrid approach combining both sparsity and structure balance from a Bayesian perspective. This paper consider the situation where the state-space model is used to represent the structure...
Rheological behavior is an important parameter in the slurry pipeline transportation, it has a direct impact for the resistance loss and critical velocity on pipeline. It is extremely important to exact test and calculation the rheological parameters. Virtual rheological equations deduced based on slurry rheological model and motion model; measured using a capillary viscometer side wall of a pulp...
The vibration signal of rolling bearing is complex and nonstationary. In this paper, in order to overcome the difficulty of rolling bearing fault diagnosis, lifting wavelet and morphological fractal dimension are combined, puts forward a method based on lifting wavelet and morphological fractal dimension for rolling bearing fault diagnosis. The step of the diagnosis goes as follows: firstly, decompose...
This paper is concerned with the decentralized and distributed estimation and control problem for a formation of agents with strongly couplings. The collected agents of the formation are modeled by a class of uncertain nonlinear systems communicating information between each other through unidirectional links with a fixed communication topology. Carrying an estimate of the entire formation state in...
In this paper, we formulate a kind of SIS-type Hand, Foot and Mouth Disease(HFMD) model in a short time interval (no more than ten years), in which we sufficiently consider the characteristics of seasonal variation and use periodic infection rate β(t) to describe it. Based on the available data of HFMD in china which is released monthly by Chinese Ministry of Health from 2009 to 2014(see the appendix),...
This paper investigates the fault detection and isolation (FDI) problem for robot manipulators with actuator and sensor faults. The considered manipulators are modeled by a class of nonlinear systems with Lipschitz-like nonlinearities and modeling uncertainties. The simultaneous occurrence of actuator and sensor faults is considered, which results in that feedback information for FDI is corrupted...
This paper reports a new method for controlling micro- and nano-droplets by the aid of heat. Computational fluid dynamics (CFD) simulation results suggest this technique is capable of conveniently controlling the droplets sizes down to several micrometers or even nanometers. This pilot research offers the possibility of fabricating micro-droplet with specific size and without changing the fluid. Three...
We address the training problem of the sparse Least Squares Support Vector Machines (SVM) using compressed sensing. The proposed algorithm regards the support vectors as a dictionary and selects the important ones that minimize the residual output error iteratively. A measurement matrix is also introduced to reduce the computational cost. The main advantage is that the proposed algorithm performs...
To get the accuracy of Wireless Sensor Networkboundary node localization and decrease error, this paperpresent an arithmetic on RSSI (Received Signal StrengthIndicator) weighting circulate localization. This arithmetic isbased on RSSI, combination of least squares estimate localizationalgorithm and weighted centroid circulation method. Thealgorithm firstly is introduced into threshold method forscreening...
This paper reports our laboratory's latest wireless-driven LED lighting system, which adopted wireless electrical energy transmission technology. Wireless power transfer technology is the transmission of electrical energy from a power source to an electrical load without man-made conductors. Traditional LED lighting system sensitive to rigid environment such as humidity, corrosive and flammable. Combining...
The resolution of an iterative SPECT reconstruction cannot be characterized meaningfully by the standard approach of measuring the FWHM of an image of a point (line) in air or in a medium, because an iterative SPECT reconstruction is typically not linear. Our objective is to develop a general method to analyze the noise and resolution characteristics. The basic idea is to derive the resolution from...
In determining how Cranial Electrotherapy Stimulation(CES)can best be used as a therapeutic tool, it is important to research its stimulating effect with the administration of various CES waveform shapes and frequencies. To meet CES research needs, this paper focused on designing a CES system outputting waveforms of arbitrary shape and different frequencies. The result showed that CES researchers...
This paper presents a model of customer purchasing behavior prediction, which would contribute in automobile mass customization field to shorten the delivery period. By the application of artificial neural network method, customer's attributes, behaviors before final decision and previous cases could be learned by machine and be used to predict his / her future behavior. Based on customer behavior...
In this paper, I based on the advanced driving simulation system, do some transformation, and use it as a tool for the simulation of new driver assistance device, which allows consumers to experience functions that are still in the initial design. Set the classic Kano model as the theoretical model. Take early development of new-vehicle HUD display function as example, presents a complete research...
With the advantages of low noise, low infrared characterization and high dependability, proton exchange membrane fuel cells (PEMFC) are widely used in hybrid electric vehicle. Internal reaction environment of PEMFC has great influence on its property and service life. Aiming at the operation features of air-cooled PEMFC, a temperature and humidity matched optimal control is improved. A dynamic reaction...
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