Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology

Nanning, China

Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology

Nanning, China

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Zhang Y.,Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing | Zhang Y.,Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology | Yang J.,Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing | Liu A.,Arizona State University | Sun P.,City College of New York
International Journal of Biomedical Imaging | Year: 2016

Aim. It can help improve the hospital throughput to accelerate magnetic resonance imaging (MRI) scanning. Patients will benefit from less waiting time. Task. In the last decade, various rapid MRI techniques on the basis of compressed sensing (CS) were proposed. However, both computation time and reconstruction quality of traditional CS-MRI did not meet the requirement of clinical use. Method. In this study, a novel method was proposed with the name of exponential wavelet iterative shrinkage-thresholding algorithm with random shift (abbreviated as EWISTARS). It is composed of three successful components: (i) exponential wavelet transform, (ii) iterative shrinkage-thresholding algorithm, and (iii) random shift. Results. Experimental results validated that, compared to state-of-the-art approaches, EWISTARS obtained the least mean absolute error, the least mean-squared error, and the highest peak signal-to-noise ratio. Conclusion. EWISTARS is superior to state-of-the-art approaches. © 2016 Yudong Zhang et al.


Wang S.,Nanjing Normal University | Wang S.,Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing | Phillips P.,Shepherd University | Yang J.,Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing | And 4 more authors.
Biomedizinische Technik | Year: 2016

To develop an automatic magnetic resonance (MR) brain classification that can assist physicians to make a diagnosis and reduce wrong decisions. This article investigated the binary particle swarm optimization (BPSO) approach and proposed its three new variants: BPSO with mutation and time-varying acceleration coefficients (BPSO-MT), BPSO with mutation (BPSO-M), and BPSO with time-varying acceleration coefficients (BPSO-T). We first extracted wavelet entropy (WE) features from both approximation and detail sub-bands of eight-level decomposition. Afterwards, we used the proposed BPSO-M, BPSO-T, and BPSO-MT to select features. Finally, the selected features were fed into a probabilistic neural network (PNN). The proposed BPSO-MT performed better than BPSO-T and BPSO-M. It finally selected two features of entropies of the following two sub-bands (V1, D1). The proposed system "WE + BPSO-MT + PNN" yielded perfect classification on Data160 and Data66. In addition, it yielded 99.53% average accuracy for the Data255, over 10 repetitions of k-fold stratified cross validation (SCV), higher than state-of-the-art approaches. The proposed method is effective for MR brain classification. © 2016 2016 Walter de Gruyter GmbH, Berlin/Boston.


Zhang Y.,Nanjing Normal University | Zhang Y.,Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology | Wang S.,Nanjing Normal University | Phillips P.,Shepherd University | And 2 more authors.
Journal of Alzheimer's Disease | Year: 2016

Background: Considering that Alzheimer's disease (AD) is untreatable, early diagnosis of AD from the healthy elderly controls (HC) is pivotal.However, computer-aided diagnosis (CAD) systems were not widely used due to its poor performance. Objective: Inspired from the eigenface approach for face recognition problems, we proposed an eigenbrain to detect AD brains. Eigenface is only for 2D image processing and is not suitable for volumetric image processing since faces are usually obtained as 2D images. Methods: We extended the eigenbrain to 3D. This 3D eigenbrain (3D-EB) inherits the fundamental strategies in either eigenface or 2D eigenbrain (2D-EB). All the 3D brains were transferred to a feature space, which encoded the variation among known 3D brain images. The feature space was named as the 3D-EB, and defined as eigenvectors on the set of 3D brains. We compared four different classifiers: feed-forward neural network, support vector machine (SVM) with linear kernel, polynomial (Pol) kernel, and radial basis function kernel. Results: The 50x10-fold stratified cross validation experiments showed that the proposed 3D-EB is better than the 2DEB. SVM with Pol kernel performed the best among all classifiers. Our "3D-EB + Pol-SVM" achieved an accuracy of 92.81%±1.99%, a sensitivity of 92.07%±2.48%, a specificity of 93.02%±2.22%, and a precision of 79.03%±2.37%. Based on the most important 3D-EB U1, we detected 34 brain regions related with AD. The results corresponded to recent literature. Conclusions: We validated the effectiveness of the proposed 3D-EB by detecting subjects and brain regions related to AD. © 2016 - IOS Press and the authors. All rights reserved.


Zheng Z.,Guangxi University | Zheng Z.,Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology | Yuan S.,Guangxi University | Yuan S.,Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology | And 3 more authors.
Engineering Failure Analysis | Year: 2015

The aim of this study is to reveal the fatigue failure mechanism of the fractured steel wheel after the cornering fatigue test. High power scanning electron microscopy is performed to analyse the fractured surfaces of the wheel and to examine the fatigue cracks in greater detail. The results show that the failure locations are mainly around the cooling hole and the bolt hole of the disc. The fatigue cracks are distributed along the circumference of the disc, and their lengths are approximately equal to each other. Further fractographic analysis reveals that multiple crack origins are detected on the surface of the disc, at the same time the fatigue crack features are very obvious. In addition, transgranular cleavage, ductile fatigue striations and brittle striations are also found. These failures are modes of fretting fatigue damage and consequence of stress concentration, which are attributed to the surface quality, the thickness variation and the corner radius of the disc. © 2014 Elsevier Ltd.


Zhou X.,Guangxi University | Zhou X.,Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology | Song M.,Guangxi University | Huang H.,Guangxi University | And 4 more authors.
Energy and Fuels | Year: 2014

To study the soot precursor emission characteristics of a n-butanol-diesel blend during low-temperature combustion (LTC), a model of n-heptane, n-butanol, polycyclic aromatic hydrocarbons (PAHs), and toluene was chosen. Computational fluid dynamics (CFD) software was used to establish a three-dimenisonal (3D) numerical model and to couple it with the chemical kinetics mechanism. The factors studied on soot precursor production were n-butanol blending ratio, exhaust gas recirculation (EGR) rate, injection timing, and intake pressure. The results showed that the formation of four types of soot precursors benzene (A1), naphthalene (A2), phenanthrene (A3), and pyrene (A4) was delayed and the final amount of precursor produced decreased with increasing the n-butanol blending ratio. The delay in formation of these precursors and the reactions mostly occurred during the premixed combustion stage and with increasing the EGR rate. The final amount of A1 produced increased with the EGR rate; however, those of A2, A3, and A4 showed a decreasing trend after an initial increase, and the EGR rate corresponding to the peak decreased with increasing the n-butanol blend ratio. The final amounts of A2, A3, and A4 produced increased with increasing the intake pressure. Soot precursors A1, A2, A3, and A4 formed in advance during the injection timing advancing with the final amounts of A1 and A3 produced were less. The final amounts of A2, and A4 produced showed a decreasing trend after an initial increase. © 2014 American Chemical Society.


Wang R.,Guangxi University | Wang R.,Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology | Dai J.,King's College
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | Year: 2013

Taking the octahedron for example, a novel plan-space polyhedral metamorphic mechanism is abstracted based on the metamorphic mechanism concepts and the edge forming principle of polyhedral packaging carton by making each edges and each corner of the polyhedron equivalent to the links and hinges of the novel mechanism. The mobility conditions of the novel plan-space polyhedral metamorphic mechanism are analyzed, and the connection and movement relationship between the links of the novel mechanism are analyzed by using the adjacent matrix and the screw theory. A novel plan-space polyhedral metamorphic mechanism with the reconfigurable function is designed based on the reconfigurable theory. The novel mechanism not only can achieve the structural transformation between plane topology and space topology, but also can obtain different sizes and different shapes polyhedron configuration. The novel plan-space polyhedral reconfigurable metamorphic mechanism can be used as skeleton or actuator of machine and used in packaging robots, aerospace and other industrial applications. © 2013 Journal of Mechanical Engineering.


Fan S.-X.,Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology | Fan S.-X.,Guangxi University | Mo Y.-W.,Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology | Mo Y.-W.,Guangxi University | And 2 more authors.
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering | Year: 2012

Contraposing the galloping of iced bundled conductors, a kind of analysis method for galloping amplitude is proposed based on the work and energy principle. The expression for amplitude increment of galloping through a cycle is deduced. The analysis process accords with the engineering practice. The functions of all items in aerodynamic forces on iced bundled conductors in each section of galloping amplitude is explained clearly by the expression of amplitude increment. The main part in the total work is the work from constant item and linear one in aerodynamic forces when galloping amplitude is small; the work from constant item and linear item in aerodynamic forces is near to that from nonlinear item when galloping amplitude is middle; the work from nonlinear item in aerodynamic forces is more when galloping amplitude is large.


Wang S.,Nanjing University | Wang S.,Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology | Yang J.,Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing | Liu G.,Columbia University | And 2 more authors.
Simulation | Year: 2016

Multi-objective path finding (MOPF) problems are widely applied in both academic and industrial areas. In order to deal with the MOPF problem more effectively, we propose a novel model that can cope with both deterministic and random variables. For the experiment, we compared five intelligence-optimization algorithms: the genetic algorithm, artificial bee colony (ABC), ant colony optimization (ACO), biogeography-based optimization (BBO), and particle swarm optimization (PSO). After a 100-run comparison, we found the BBO is superior to the other four algorithms with regard to success rate. Therefore, the BBO is effective in MOPF problems. © The Author(s) 2016.


Zhang Y.-D.,Nanjing Normal University | Zhang Y.-D.,Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing | Zhang Y.-D.,Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology | Wang S.-H.,Nanjing Normal University | And 3 more authors.
Advances in Mechanical Engineering | Year: 2016

Abnormal breast can be diagnosed using the digital mammography. Traditional manual interpretation method cannot yield high accuracy. In this study, we proposed a novel computer-aided diagnosis system for detecting abnormal breasts. Our dataset contains 200 mammogram images with size of 1024 × 1024. First, we segmented the region of interest from mammogram images. Second, the fractional Fourier transform was employed to obtain the unified time-frequency spectrum. Third, spectrum coefficients were reduced by principal component analysis. Finally, both support vector machine and k-nearest neighbors were used and compared. The proposed "weighted-type fractional Fourier transform+principal component analysis+support vector machine" achieved sensitivity of 92.22% ± 4.16%, specificity of 92.10% ± 2.75%, and accuracy of 92.16% ± 3.60%. It is better than both the proposed "weighted-type fractional Fourier transform+principal component analysis+k-nearest neighbors" and other five state-of-the-art approaches in terms of sensitivity, specificity, and accuracy. The proposed computer-aided diagnosis system is effective in detecting abnormal breasts. © 2016 The Author(s).


Yang L.,Hubei University of Technology | Yang L.,Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology | Wang X.,Hubei University of Technology | Long L.,Hubei University of Technology
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2010

A five-degree-of-freedom (including two displace errors and three angular errors) online measuring system is proposed. Two mutually perpendicular prisms are fixed on a workbench of guideway and move along with the workbench. The measuring system consists of two independent left path and right path with same light structure and principle. The principle of displacement and angular measurement is analyzed, and optical structure is established. The system has many advantages such as small and simple structure, high-precision and cheap cost. © 2010 Copyright SPIE - The International Society for Optical Engineering.

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