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This paper introduces a novel, efficient and accurate algorithm for solving the image completion problem, which is a widely discussed topic in recent years. This algorithm is inspired by recent progress in the matrix completion field. Firstly, corresponding to the RGB channels, an input incomplete image is treated as three incomplete matrices. Then each matrix is recovered by solving a convex relaxation...
Ultrasonic phase array play an important part in the field of nondestructive testing. It has been introduced to the industrial field from the medical field and widely used in the inspection of complex weld, nuclear power industry, the Lifeline Project, ect. The author uses the method of ultrasonic imaging to solve the damage of the workpiece internal. In this article, the author discusses the principle...
As is known to all, an accurate on-line estimation of the battery capacity is important for forecasting the EV driving range. But because of the different driving environment and the property of the battery, it is hard to estimate the capacity of the battery pack. This paper presents an unscented Kalman filtering method to estimate the state of charge of LiFePO4 battery pack. Five comparison experiments...
This paper studies a novel acceleration technique for the FDTD method using new Intel instruction extensions - Intel Advanced Vector Extensions (AVX). We compare two configurations of FDTD algorithm (one enabled with AVX and a second without AVX) and present a performance evolution of the two settings. The numerical results show that the FDTD with AVX gives over 7 times speedup ratio compared to the...
Classification of gene expression data to determine subtype of samples is meaningful to research tumors in molecular biology level. It is also an important way to make further treatment plan for the patient. Particle swarm optimization (PSO) is proven to be an ineffective solution for classification and clustering in bioinformatics as it could not give a stable prediction result. In this study, a...
In order to take the complex background interference and real-time requirements into account, the experience apply NMI feature and Cam-Shift feature space on face tracking. By secondary search on the feature space of NMI human eye's feature and Cam-Shift emplacement space, the experience improve the accuracy of face identified location, adding Upper and lower line for improving calculate speed of...
Drift control for high-speed mobile robot is one of problems in the development of mobile robot technology. In this paper, the dynamic model of wheel mobile robot under high-speed drift condition is studied. And then, the dynamic model is approximated. Subsequently, a drift controller is designed based on the thought of feedback linearization, which controller has good dynamic response performance...
The paper presents the technical design and progress on a high-power laser XG-III, which consists of three synchronized beams, i.e. the femtosecond, picosecond and nanosecond beams.
In this paper, we investigate the sum rate of multiuser multiple-input multiple-output broadcast (MU-MIMO) communication systems, the channel state information (CSI) is supposed perfectly known at the base station. Since power allocation is not a convex optimization problem in the presence of multiuser interference (MUI) in general, the optimal solutions proposed in the literature have exponential...
Stable operation of gas turbine engine compressor is constrained by rotating surge. In this paper, an approximate nonlinear surge margin model of gas turbine engine compressor by using equilibrium manifold is presented. Firstly, the expansion form of equilibrium manifold is introduced. Secondly, the property of the expansion form is discussed, and the effect of mapping design to the form is systematically...
Wireless sensor networks are energy constrained. Clustering algorithm is a key technology used to reduce power consumption in WSNs. The LEACH protocol is a typical adaptive clustering routing algorithm with low power consumption. Unfortunately, it has some disadvantages such as uneven distribution of cluster heads and unbalanced energy cost. In each round of communication, if a node moves away from...
With various applications of reconfigurable devices in harsh or hostile remote environments, reliability becomes an important factor to evaluate system performance. In this paper, an approach is presented to improve the reliability of FPGA-based system through optimal spare placement and fault tolerant (FT) reconfiguration. In FPGA placement stage, high reliability of spare distribution is equivalent...
This paper presents a model-based optimization strategy for vapor compression refrigeration cycle. The optimization problem is formulated as minimizing the total operating cost of all energy consuming devices with mechanical limitations, component interactions, environment conditions and cooling load demands as constraints. Genetic algorithm is utilized to calculate optimal set point under different...
The purpose of this paper is to investigate the pharmacokinetic and pharmacodynamic characteristics using a computer simulation. Using MATLAB software, the simulations illustrated how the plasma drug concentration and drug effect of a two-compartment model vary with the three parameters of the absorption rate constant (ka), the elimination rate constant (k10) and dose (Do) in three-dimensional diagrams...
Kernel Principal Component Analysis (KPCA) is the promotion of PCA in kernel space, Null space LDA can be directly employed to choose a set of optimal projection vectors by preserving effective information of null space of within-class scatter maximizing ratio of the between-class scatter to the within-class scatter. This paper puts forward the method about KPCA plus NS-LDA for feature extraction...
This paper presents a design of reconfigurable hardware platform for wireless sensor networks to achieve high flexibility and robustness in system operation and resource utilization. The goal of this research is to develop a new type of sensor networks with cognitive features (e.g., context awareness and situation understanding) such that human behavioral biometrics can be measured through distributed...
Clinical trial simulation (CTS) which is the process of simulating clinical trials based on a mathematical model can facilitate analyzing the ambiguity about the dose-response. To investigate how the drug effect varies with the parameters dose and Hill coefficient (N) this study simulates a pharmacokinetic-pharmacodynamic (PK-PD) model. Based on the MATLAB software the simulations illustrated the...
Rate control plays an important role in video encoders with the complex application environment and limited network bandwidth to obtain a better performance. According to the features of the encoded bit stream, rate control algorithm can dynamically adjust the quantization parameter in different levels of the encoding procedure. In this paper, a real-time rate control scheme for hardware implementation...
In this paper, in order to solve the problem that based in favor subjective and standards are not comprehensive in the strategic supplier selection, we established the indicator system for the selection of the strategic supplier by quantitative and qualitative methods, and proposed a supplier selection model based on several stage selection and grey relational analysis. Then we got the correlation...
The management of project complexity has become an important part in the project management, being critical to the success of the large complex project. According to literature review and questionnaire survey, the Analytical Network Process (ANP) method is used to measure the influencing factors of project complexity and Super Decisions (SD) software is used to calculate weights of influencing factors,...
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