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Your search keyword '"He, Zhenxue"' showing total 44 results
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44 results on '"He, Zhenxue"'

12. Road vehicle detection based on improved YOLOv3-SPP algorithm.

Author

WANG Tao, FENG Hao, MI Rongxin, LI Lin, HE Zhenxue, FU Yiming, and WU Shu

Abstract

Aiming at the problem of low detection accuracy or missing detection caused by dense vehicles and small scale of distant vehicles in the visual detection of urban road scenes, an improved YOLOv3-SPP algorithm was proposed to optimize the activation function and take DIOU-NMS Loss as the boundary frame loss function to enhance the expression ability of the network. In order to improve the feature extraction ability of the proposed algorithm for small targets and occluding targets, the void convolution module was introduced to increase the receptive field of the target. Based on the experimental results, the proposed algorithm improves the mAP by 1.79% when detecting vehicle targets, and also effectively reduce the missing phenomenon when detecting tight vehicle targets. [ABSTRACT FROM AUTHOR]

Published
2024
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14. An Efficient Polarity Optimization Approach for Fixed Polarity Reed-Muller Logic Circuits Based on Novel Binary Differential Evolution Algorithm

Author

He, Zhenxue, Qin, Guangjun, Xiao, Limin, Gu, Fei, Huo, Zhisheng, Ruan, Li, Wang, Haitao, Zhang, Longbing, Liu, Jianbin, Liu, Shaobo, Wang, Xiang, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Shi, Xuanhua, editor, An, Hong, editor, Wang, Chao, editor, Kandemir, Mahmut, editor, and Jin, Hai, editor

Published
2017
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19. Delay optimization for ternary fixed polarity Reed–Muller circuits based on multilevel adaptive quantum genetic algorithm

Author

Wang Chao, Wu Xiaoqian, Xiao Limin, Huo Zhisheng, Wang Xiang, and He Zhenxue

Subjects
Human-Computer Interaction, Quantum genetic algorithm, Logic synthesis, Artificial Intelligence, Polarity (physics), Computer science, Genetic algorithm, Combinatorial optimization problem, Ternary operation, Topology, Software, Theoretical Computer Science, Electronic circuit
Published
2021

21. A Polarity Optimization Algorithm Taking Into Account Polarity Conversion Sequence

Author

Jia Liu, Xiang Wang, Zhisheng Huo, He Zhenxue, and Limin Xiao

Subjects
continuous hopfield neural network, 0209 industrial biotechnology, polarity optimization, General Computer Science, Polarity (physics), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, Topology, Polarity conversion, Set (abstract data type), 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Reed-Muller circuits, Electronic circuit, Mathematics, Sequence, Artificial neural network, Energy conversion efficiency, General Engineering, Logic gate, Benchmark (computing), 020201 artificial intelligence & image processing, lcsh:Electrical engineering. Electronics. Nuclear engineering, lcsh:TK1-9971, Hardware_LOGICDESIGN
Abstract

The polarity conversion sequence directly determines polarity conversion efficiency and then affects polarity optimization efficiency. However, few studies have focused on the polarity conversion sequence problem of Reed-Muller (RM) circuits. In this paper, we propose a continuous Hopfield neural network (CHNN)-based polarity conversion algorithm (CHNNPCA) for Mixed Polarity RM (MPRM) circuits, which uses the CHNN to solve the best polarity conversion sequence of polarity set waiting for evaluation before converting the polarity set. Moreover, based on the CHNNPCA, a polarity optimization algorithm (POA) is proposed to improve the polarity optimization efficiency of MPRM circuits. The experimental results on MCNC benchmark circuits show that for the large-scale polarity set, the CHNNPCA is superior to the mixed polarity conversion algorithm based on the tabular technique in terms of polarity conversion efficiency. Furthermore, compared to the traditional polarity optimization algorithm neglecting polarity conversion sequence, the POA has a considerable advantage in improving polarity optimization efficiency, especially for large-scale circuits. The POA can be extended to improve the polarity optimization efficiency of fixed polarity RM circuits.

Published
2019

37. Polarity Searching for MPRM Logic Circuit Based on Improved Adaptive Genetic Algorithm

Author

Rong Zhang, He Zhenxue, Li Ruan, Limin Xiao, Weike Wang, Lin Li, Quanneng Shen, and Xiang Wang

Subjects
Combinational logic, Tree traversal, Computer Science::Emerging Technologies, Computer science, Polarity (physics), Logic gate, Genetic algorithm, Benchmark (computing), Algorithm, Expression (mathematics), Hardware_LOGICDESIGN, Electronic circuit
Abstract

In combinational logic circuits, expressing logic functions in terms of Mixed Polarity Reed-Muller (MPRM) expansions draws more and more attention for its advantages over Boolean logic and Fixed Polarity Reed-Muller (FPRM) expansions. For n-variable MPRM logic function, the polarity directly determines the expression form of the circuits, and then influences the power dissipation of the circuit. However, many literatures tend to research the optimization of the MPRM ignoring the polarity traversal sequence for large-scale circuits. This paper presents an Improved Adaptive Genetic Algorithm (IAGA) to optimize the best polarity traversal sequence of MPRM logic circuits to speed up the polarity optimization. The proposed algorithm has been carried out in C language, and a comparative analysis has been presented for MCNC benchmark circuits. The results show that this algorithm gives best polarity and does well in reducing the time of polarity searching.

Published
2015

44. Diterpenoid DGA induces apoptosis via endoplasmic reticulum stress caused by changes in glycosphingolipid composition and inhibition of STAT3 in glioma cells.

Author

Kong, Tingting, He, Zhenxue, Wang, Shuying, Jiang, Chunxin, Zhu, Fei, Gao, Jingjing, Li, Liu, Wang, Yanping, Xie, Qing, and Li, Yunsen

Subjects
*GLYCOCALYX, *ENDOPLASMIC reticulum, *BAX protein, *GLIOMAS, *UNFOLDED protein response, *STAT proteins
Abstract

[Display omitted] Glioma is one of the most common malignant primary brain tumors, with poor prognosis and high recurrence. There are currently few drugs approved for brain tumors; thus, it is necessary to develop new effective drugs. Natural diterpenoids have important biological activities, including antiinflammatory, antioxidative, and antitumor effects. In this study, 7α,14β-dihydroxy- ent -kaur-17-dimethylamino-3,15-dione (DGA), a diterpenoid compound modified from glaucocalyxin A, inhibited the proliferation of many tumor cells, especially glioma. Flow cytometry analysis showed that DGA induced apoptosis in glioma cells. DGA also inhibited xenograft tumors in nude mice. It affected the expression of ceramide synthases (CerS) in glioma cells; CerS1 decreased, and CerS2 and CerS5 increased, resulting in a change in the composition of glycosphingolipids containing varying acyl chain lengths. In glioma cells treated with DGA, the gene transcription of activating transcription factor 4 (ATF4), X-box binding protein-1 (XBP1), and C/EBP-homologous protein (CHOP) in unfolded protein response pathways was upregulated. Meanwhile, the ratio of proapoptotic protein Bcl-2–associated X protein (BAX) to antiapoptotic protein B-cell lymphoma 2 (Bcl-2) also increased. This suggested that an imbalance of glycosphingolipids caused by DGA induced severe endoplasmic reticulum stress and triggered cell apoptosis. Moreover, Western blotting showed DGA inhibited the signal transducers and activators of transcription 3 (STAT3) signaling pathway by reducing the phosphorylation of STAT3 and its upstream kinases, which also promoted the apoptosis of glioma cells. Together, these results explored the anticancer activities of DGA and highlighted it as a potential candidate for treating glioma. [ABSTRACT FROM AUTHOR]

Published
2022
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