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Support Vector Machine Optimization Based On Magnetic Bacteria Optimization Algorithm
Ce Yang,Zhaofeng Chen 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.9
Classification performance of support vector machine (SVM) will be influenced by its model parameters. For this problem, a new method named magnetic bacteria optimization algorithm (MBOA) that optimizes the parameters of SVM is proposed. It is tested by the UCI standard data sets and compared with the other optimization algorithms, such as particle swarm optimization (PSO). Experimental results show that the MBOA can optimize the parameters of SVM well and has better performance than the compared algorithms.
Flexible air breathable electroluminescent device based on electrospinning process
Ce Li,Shaoqiang Gu,Tao Ma,Dongchan Li 대한금속·재료학회 2022 ELECTRONIC MATERIALS LETTERS Vol.18 No.6
Alternative current electroluminescent device with excellent air permeability were fabricated by a facile electrospinningmethod, and the optimal fabrication conditions of the device substrate and light-emitting layer, such as voltage, acceptancedistance, concentration, and propulsion rate, were determined. The microscopic morphology, luminance and air permeabilityof the samples were explored and analyzed. The characterization results show that the flexible alternative current electroluminescentdevice fabricated by electrospinning method exhibits excellent mechanical properties and high air permeability. The device can reach 55.74 cd/m2 at a voltage of 130 V and a frequency of 3 kHz, and the air permeability can reach 5.81 g/(h·m2). It is discussed that its excellent breathability is attributed to the overall microns fabric structure. On the basis ofthese results, we believe our electrospinningac process will accelerate development of more comfortable electroluminescentdevices with the flexibility required for real-world applications.
Ce Su,Shaodan Zhao,Hongbo Zhang,Kaishan Chang 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.3
Much attention has been increasingly focused on the applications of noble metal nanoparticles (NPs) for the catalytic degradation of various dyes and pigments in industrial wastewater. We have demonstrated that Pd NPs/ Fe3O4-PEI-RGO nanohybrids exhibit high catalytic activity and excellent durability in reductive degradation of MO, R6G, RB. Specific surface area was successfully prepared by simultaneous reduction of Pd(OAc)2 chelating to PEI grafted graphene oxide nanosheets modified with Fe3O4. The as-prepared Pd NPs/Fe3O4-PEI-RGO nanohybrids were characterized by X-ray diffraction, X-ray photoelectron spectroscopy, transmission electron microscopy, high-resolution TEM and energy dispersive X-ray spectroscopy, and UV-lambda 800 spectrophotometer, respectively. The catalytic activity of Pd NPs/Fe3O4-PEI-RGO nanohybrids to the degradation of MO, R6G, RB with NaBH4 was tracked by UV-visible spectroscopy. It was clearly demonstrated that Pd NPs/Fe3O4-PEI-RGO nanohybrids exhibited high catalytic activity toward the degradation of dyes and pigments, which could be relevant to the high surface areas of Pd NPs and synergistic effect on transfer of electrons between reduced graphene oxide (RGO), PEI and Pd NPs. Notably, Pd NPs/Fe3O4-PEI-RGO nanohybrids were easily separated and recycled thirteen times without obvious decrease in system. Convincingly, Pd NPs/Fe3O4-PEI-RGO nanohybrids would be a promising catalyst for treating industrial wastewater.
Closed T-Spline Surface Reconstruction from Medical Image Data
Ce Shang,Jianzhong Fu,Zhiwei Lin,Jiawei Feng,Bin Li 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.19 No.11
The reconstruction from medical image data to CAD model is an essential process of Bio-medical engineering. So far, it is still challenging to create medical model which is suitable for both design and manufacturing. This paper introduces a process of constructing a single-patched closed T-spline surface model based on medical image data. The image data is first converted into triangular mesh and then parameterized onto a rectangular domain. An iterative least-squares fitting process is proposed to finally obtain the T-spline surface model with a user-specified tolerance. In this fitting process, the smoothing part of the algorithm is redesigned, considering the flexible structure of T-mesh and the geometric complexity of the T-spline surface. Local smoothness weighting factors are introduced to the fitting formula to locally adjust the smoothness of the surface. An adaptive smoothness checking points distribution method is proposed to reduce the computational cost. These algorithms are easy to implement and the obtained model is simple in form. Compared with the STL and NURBS model, the T-spline surface model requires less storage space and can be easily modified. The obtained model is suitable for Bio-medical engineering applications like bone scaffolds design, surgical planning and related manufacturing process.
Some results on parametric Euler sums
Ce Xu 대한수학회 2017 대한수학회보 Vol.54 No.4
In this paper we present a new family of identities for parametric Euler sums which generalize a result of David Borwein et al. \cite{BBD2008}. We then apply it to obtain a family of identities relating quadratic and cubic sums to linear sums and zeta values. Furthermore, we also evaluate several other series involving harmonic numbers and alternating harmonic numbers, and give explicit formulas.