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Guangyao Xiong,Yanjiao Nie,Dehui Ji,Jing Li,Chunzhi Li,Wei Li,Yong Zhu,Honglin Luo,Yizao Wan 한국물리학회 2016 Current Applied Physics Vol.16 No.8
Microwave assisted sintering has attracted much attention due to the greatly reduced sintering time. In this work, for the first time, hydroxyapatite (HAp)-reinforced magnesium (Mg) composites were prepared by the microwave assisted sintering technique. The as-prepared HAp/Mg composites were characterized by mechanical and electrochemical tests, XRD analysis, and preliminary biological evaluation. Optical microscopy observation confirms the homogeneously distributed HAp particles in the Mg matrix. It is shown that the relative density of HAp/Mg composite with 10 wt% HAp can reach 96.5% after only 10 min microwave assisted sintering. Furthermore, the mechanical properties of HAp/Mg composites are significantly higher than those of pure Mg. The corrosion resistance of HAp/Mg composites evaluated by immersion and electrochemical measurements in simulated body fluid (SBF) at 37 C reveals significant improvement over pure Mg. It is demonstrated that the mechanical properties, corrosion resistance, and biological behavior can be properly controlled by adjusting HAp content.
( Guangyao Liu ),( Shan Li ),( Nan Chen ),( Ziyang Zhao ),( Man Guo ),( Hong Liu ),( Jie Feng ),( Dekui Zhang ),( Zhijun Yao ),( Bin Hu ) 대한소화기기능성질환·운동학회(구 대한소화관운동학회) 2021 Journal of Neurogastroenterology and Motility (JNM Vol.27 No.3
Background/Aims Irritable bowel syndrome (IBS) is a prevalent functional gastrointestinal disease characterized by recurrent abdominal pain and bowel dysfunction. However, the majority of previous neuroimaging studies focus on brain structure and connections but seldom on the inter-hemispheric connectivity or structural asymmetry. This study uses multi-modal imaging to investigate the abnormal changes across the 2 cerebral hemispheres in patients with IBS. Methods Structural MRI, resting-state functional MRI, and diffusion tensor imaging were acquired from 34 patients with IBS and 33 healthy controls. The voxel-mirrored homotopic connectivity, fractional anisotropy, fiber length, fiber number, and asymmetry index were calculated and assessed for group differences. In addition, we assessed their relevance for the severity of IBS. Results Compared with healthy controls, the inter-hemispheric functional connectivity of patients with IBS showed higher levels in bilateral superior occipital gyrus, middle occipital gyrus, precuneus, posterior cingulate gyrus, and angular gyrus, but lower in supplementary motor area. The statistical results showed no significant difference in inter-hemispheric anatomical connections and structural asymmetry, however negative correlations between inter-hemispheric connectivity and the severity of IBS were found in some regions with significant difference. Conclusions The functional connections between cerebral hemispheres were more susceptible to IBS than anatomical connections, and brain structure is relatively stable. Besides, the brain areas affected by IBS were concentrated in default mode network and sensorimotor network. (J Neurogastroenterol Motil 2021;27:426-435)
Yimin Zhou,Guangyao Li,Yunlan Tan 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.7
Photograph aesthetical evaluation has been widely investigated in these decades. The most used assessing methods are mainly classical data mining methods such as SVM, ANN(Artificial Neural Network), linear programming and so on. In this paper, we presented a method based on artificial neural network and deep learning methods which is also a hot research topic recently. We downloaded a medium and a large dataset from a well-known online photograph portal and trained on them. Results showed that the accuracy of classification was above 82.1%, which was better than all state-of-the-art methods as well as a moderate result from those methods never adopted up to now.
Topology Reconfiguration Method for IPT Pad Stress Measurement in a Limited Laboratory Environment
Seungjin-Jo,Guangyao Li,Junchen Xie,Chang-Su Shin,Dong-Hee Kim 전력전자학회 2023 ICPE(ISPE)논문집 Vol.2023 No.-
Wireless charging pad, which is a key design part of the inductive power transfer (IPT) system, has high voltage and current characteristics, and since resulting losses account for the largest proportion of the entire system, an accurate experimental verification should be required. This paper proposes a method to obtain the same wireless charging pad voltage and current stress in a limited test environment by reconfiguring the resonant network of the IPT system. The proposed method allows experiments in a limited laboratory environment by flexibly designing input/output characteristics. The validity of the proposed method is verified through a 2-kW prototype experiment.
MPS-based LS-SVR Metamodeling Technique for Sheet Forming Optimization
Hu Wang,Guangyao Li,Yong Cai 한국소성가공학회 2010 기타자료 Vol.2010 No.6
Several metamodeling techniques have been developed in the past two decades to reduce the computational cost of design evaluations, such as finite element (FE) simulation code. With the increase of complexity and scale of practical engineering problems, popular metamodeling techniques involving response surface methodology (RSM), Kriging (KG), radial basis functions (RBF), and multivariate adaptive regression splines (MARS) confront difficulties in solving nonlinear optimization problems, such as sheet forming optimization. In this paper, a mode pursuing sampling (MPS)-based least square support vector regression (LS-SVR) method is applied for sheet forming problems. The advantage of MPS is that the samples are concentrated near the current local minima of the design space and yet still statistically cover the entire design space. Therefore, the MPS is used to obtain local optimum samples, and corresponding metamodel is constructed by the LS-SVR based on these samples. Finally, the drawbead design is successfully optimized by the proposed metamodeling technique. The optimization results demonstrate that the MPSbased SVR is feasible for real engineering problems.
Image Completion using Belief Propagation Based on Planar Priorities
( Mang Xiao ),( Guangyao Li ),( Yinyu Jiang ),( Li Xie ),( Ye He ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.9
Automatic image completion techniques have difficulty processing images in which the target region has multiple planes or is non-facade. Here, we propose a new image completion method that uses belief propagation based on planar priorities. We first calculate planar information, which includes planar projection parameters, plane segments, and repetitive regularity extractions within the plane. Next, we convert this planar information into planar guide knowledge using the prior probabilities of patch transforms and offsets. Using the energy of the discrete Markov Random Field (MRF), we then define an objective function for image completion that uses the planar guide knowledge. Finally, in order to effectively optimize the MRF, we propose a new optimization scheme, termed Planar Priority-belief propagation that includes message-scheduling-based planar priority and dynamic label cropping. The results of experiment show that our approach exhibits advanced performance compared with existing approaches.
Image Completion Using Similarity Analysis and Transformation
Mang Xiao,Guangyao Li,Yunlan Tan,Jie Qin 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.4
Image completion is aim to fill the missing regions in images. A robust completion technique using similarity analysis and transformation is proposed to address this problem. Firstly, in order to decrease the search space of patches, random mapping method is used to analyze texture regions which have similar structure and texture with damaged regions. Secondly, geometric and photometric transformations of image are adopted to find the best patches. Thirdly, increasing the accuracy of the structure propagation, a priority calculation method is optimized based on confidence factor and edge information. Finally, a number of examples on real and synthetic images show the effectiveness of our algorithm for image completion.