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| 1 | Repulsive firefly algorithm-based optimal switching device placement in power distribution systems显示文摘To achieve optimal configuration of switching devices in a power distribution system,this paper proposes a repulsive firefly algorithm-based optimal switching device placement method.In this method,the influence of territorial repulsion during firefly courtship is considered.The algorithm is practically applied to optimize the position and quantity of switching devices,while avoiding its convergence to the local optimal solution.The experimental simulation results have showed that the proposed repulsive firefly algorithm is feasible and effective,with satisfying global search capability and convergence speed,holding potential applications in setting value calculation of relay protection and distribution network automation control. | Yuanpeng Tan Hai Chen Wei Liu Mingze Zhang Yinong Li Xincong Li Hanyang Lin | 2019 | Global Energy Interconnection2019，2，6： | 3 |
| 2 | Bacteroides ovatus-mediated CD27^(−)MAIT cell activation is associated with obesity-related T2D progression显示文摘Type 2 diabetes(T2D)is highly associated with obesity.However,the factors that drive the transition from excessive weight gain to glucose metabolism disruption are still uncertain and seem to revolve around systemic immune disorder.Mucosal-associated invariant T(MAIT)cells,which are innate-like T cells that recognize bacterial metabolites,have been reported to be altered in obese people and to lead to metabolic dysfunction during obesity.By studying the immunophenotypes of blood MAIT cells from a cross-sectional cohort of obese participants with/without T2D,we found an elevation in CD27^(-)negative(CD27−)MAIT cells producing a high level of IL-17 under T2D obese conditions,which could be positively correlated with impaired glucose metabolism in obese people.We further explored microbial translocation caused by gut barrier dysfunction in obese people as a triggering factor of MAIT cell abnormalities.Specifically,accumulation of the bacterial strain Bacteroides ovatus in the peripheral blood drove IL-17^(-)producing CD27−MAIT cell expansion and could be associated with T2D risk in obese individuals.Overall,these results suggest that an aberrant gut microbiota–immune axis in obese people may drive or exacerbate T2D.Importantly,CD27−MAIT cell subsets and Bacteroides ovatus could represent targets for novel interventional strategies.Our findings extend current knowledge regarding the clinical relevance of body mass index(BMI)-associated variation in circulating MAIT cells to reveal the role of these cells in obesity-related T2D progression and the underlying cellular mechanisms. | Yue Li Yi Yang Jin Wang Peihong Cai Mei Li Xixiang Tang Ying Tan Yuchan Wang Fan Zhang Xiaofeng Wen Qiaoxing Liang Yuanpeng Nie Tufeng Chen Xiang Peng Xuemin He Yanhua Zhu Guojun Shi Wai WCheung Lai Wei Yanming Chen Yan Lu | 2022 | Cellular & Molecular Immunology2022，19，7： | 2 |
| 3 | Sparse algorithms of random weight networks and applications 显示文摘 | CAO Feilong TAN Yuanpeng CAI Miaomiao | 2014 | Expert Systems with Applications2014，41，5： | 1 |
| 4 | A novel inflatable rings supported design and buoyancy-weight balance deformation analysis of stratosphere airships显示文摘Owing to the unique advantages in flight altitude,dwelling time and wide coverage area,stratospheric airships provide permanent monitoring and surveillance for both civil and military applications.Here we propose a semi-rigid stratosphere airship design with circumferential high-pressure inflatable rings and a longitudinal carbon fiber skeleton supported inside.We perform numerical simulations to analyze the deformation characteristics during the whole ascending and descending process.An equivalent internal gradient pressure model of helium is established based on the capsule shape and buoyancy-weight equilibrium conditions.The implicit dynamic method is used to deal with the large deformation of the airship capsule under a low negative pressure condition.Deformation and load-bearing performance of the airship capsule,inflatable ring,skeleton,and suspension line are obtained under different working conditions.The results show that the airship,supported with the inflatable rings and the suspension lines,effectively maintains the shape and ensures the stiffness during the ascending,dwelling,and descending stages,especially suffering from negative pressure. | Weinan GAO Ji ZHANG Teng MA Guochang LIN Yuanpeng LIU Changguo WANG Huifeng TAN | 2022 | Chinese Journal of Aeronautics2022，35，1： | 1 |
| 5 | METABALL-BASED TRANSITION SURFACES显示文摘Metaball-based constraint deformation technique is used to change the definition of r, thestraight-line distance from a space point to a constraint center in the original calculation of the poten-tial function. By replacing the parameter of the parametrized surface w with the straight-line distancer, a method of building transition surfaces according to connected boundary curves and skeletoncurves is proposed. The method has no restrictions on boundary curves that control the space shapesof transition surfaces or on types of skeleton curves, thus transition surfaces, which reach C1 continu-ity and are more abundant in shapes and natural, can be obtained. | Li Lingfeng Tan Jianrong Chen Yuanpeng | 2005 | Chinese Journal of Mechanical Engineering2005，18，3： | 0 |
| 6 | Image sequence-based risk behavior detection of power operation inspection personnel显示文摘A novel image sequence-based risk behavior detection method to achieve high-precision risk behavior detection for power maintenance personnel is proposed in this paper.In this method,the original image sequence data is first separated from the foreground and background.Then,the free anchor frame detection method is used in the foreground image to detect the personnel and correct their direction.Finally,human posture nodes are extracted from each frame of the image sequence,which are then used to identify the abnormal behavior of the human.Simulation experiment results demonstrate that the proposed algorithm has significant advantages in terms of the accuracy of human posture node detection and risk behavior identification. | Changyu Cai Jianglong Nie Wenhao Mo Zhouqiang He Yuanpeng Tan Zhao Chen | 2022 | Global Energy Interconnection2022，5，6： | 0 |
| 7 | Non-intrusive temperature rise fault-identification of distribution cabinet based on tensor block-matching显示文摘In this study,a novel non-intrusive temperature rise fault-identification method for a distribution cabinet based on tensor block-matching is proposed.Two-stage data repair is used to reconstruct the temperature-field information to support the demand for temperature rise fault-identification of non-intrusive distribution cabinets.In the coarse-repair stage,this method is based on the outside temperature information of the distribution cabinet,using tensor block-matching technology to search for an appropriate tensor block in the temperature-field tensor dictionary,filling the target space area from the outside to the inside,and realizing the reconstruction of the three-dimensional temperature field inside the distribution cabinet.In the fine-repair stage,tensor super-resolution technology is used to fill the temperature field obtained from coarse repair to realize the smoothing of the temperature-field information inside the distribution cabinet.Non-intrusive temperature rise fault-identification is realized by setting clustering rules and temperature thresholds to compare the location of the heat source with the location of the distribution cabinet components.The simulation results show that the temperature-field reconstruction error is reduced by 82.42%compared with the traditional technology,and the temperature rise fault-identification accuracy is greater than 86%,verifying the feasibility and effectiveness of the temperature-field reconstruction and temperature rise fault-identification. | Jie Tong Yuanpeng Tan Zhonghao Zhang Qizhe Zhang Wenhao Mo Yingqiang Zhang Zihao Qi | 2023 | Global Energy Interconnection2023，6，3： | 0 |
| 8 | THz Wave Detection of Gap Defects Based on a Convolutional Neural Network Improved by a Residual Shrinkage Network显示文摘Internal air gap is a serious type of defect in the insulation equipment,which threatens the safe operation of the power grid.In order to diagnose the position and thickness of the internal air gap,this paper proposes a terahertz wave detection method based on wavelet analysis and a CNN(convolution neural network)model.According to the time-frequency characteristics of the wavelet cluster,the calculation method of air gap depth is proposed.To determine the thickness of the internal air gap,the performances of several classification methods,such as waveform feature analysis,Bayes,MLP(Multi-layer Perceptron),SVM(Support Vector Machine)and CNN are compared.The results show that the CNN modified by a residual shrinkage network and SVM(CNN-RSN-SVM)has the best performance.By adjusting the parameters,the classification accuracy of the CNN-RSN-SVM model can be elevated to 98.91%.Furthermore,the 3D imaging method of air gap defect based on wavelet analysis and CNNRSN-SVM classification model is formed. | Zhonghao Zhang Guozheng Peng Yuanpeng Tan Tianjiao Pu Liming Wang | 2023 | CSEE Journal of Power and Energy Systems2023，9，3： | 0 |
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