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522 results on '"Yin, Zhixiang"'

2. Exploring Interacting Dark Energy with Chaos Quantum-Behaved Particle Swarm Optimization

Author

Yin, Zhixiang, Ren, Zelin, and Costa, André A.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, General Relativity and Quantum Cosmology
Abstract

Models with an interaction between dark energy and dark matter have already been studied for about twenty years. However, in this paper, we provide for the first time a general analytical solution for models with an energy transfer given by $\mathcal{E} = 3H(\xi_1 \rho_c + \xi_2 \rho_d)$. We also use a new set of age-redshift data for 114 old astrophysical objects (OAO) and constrain some special cases of this general energy transfer. We use a method inspired on artificial intelligence, known as Chaos Quantum-behaved Particle Swarm Optimization (CQPSO), to explore the parameter space and search the best fit values. We test this method under a simulated scenario and also compare with previous MCMC results and find good agreement with the expected results., Comment: 12 pages, 6 figures, 5 tables

Published
2023

3. A bias using the ages of the oldest astrophysical objects to address the Hubble tension

Author

Costa, André A., Ren, Zelin, and Yin, Zhixiang

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

Recently different cosmological measurements have shown a tension in the value of the Hubble constant, $H_0$. Assuming the $\Lambda$CDM model, the Planck satellite mission has inferred the Hubble constant from the cosmic microwave background (CMB) anisotropies to be $H_0 = 67.4 \pm 0.5 \, \rm{km \, s^{-1} \, Mpc^{-1}}$. On the other hand, low redshift measurements such as those using Cepheid variables and supernovae Type Ia (SNIa) have obtained a significantly larger value. For instance, Riess et al. reported $H_0 = 73.04 \pm 1.04 \, \rm{km \, s^{-1} \, Mpc^{-1}}$, which is $5\sigma$ apart of the prediction from Planck observations. This tension is a major problem in cosmology nowadays, and it is not clear yet if it comes from systematic effects or new physics. The use of new methods to infer the Hubble constant is therefore essential to shed light on this matter. In this paper, we discuss using the ages of the oldest astrophysical objects (OAO) to probe the Hubble tension. We show that, although this data can provide additional information, the method can also artificially introduce a tension. Reanalyzing the ages of 114 OAO, we obtain that the constraint in the Hubble constant goes from slightly disfavoring local measurements to favoring them., Comment: 8 pages, 6 figures. New References. Accepted for publication in EPJC

Published
2023

6. Text Encryption Scheme Based on Chaotic Map and DNA Strand Displacement

Author

Yang, Jing, Liu, Congcong, Yin, Zhixiang, Yang, Shiji, Zhang, Yue, He, Guoqing, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Pan, Linqiang, editor, Wang, Yong, editor, and Lin, Jianqing, editor

Published
2024
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12. Cloud detection in Landsat-8 imagery in Google Earth Engine based on a deep neural network

Author

Yin, Zhixiang, Ling, Feng, Foody, Giles M., Li, Xinyan, and Du, Yun

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning
Abstract

Google Earth Engine (GEE) provides a convenient platform for applications based on optical satellite imagery of large areas. With such data sets, the detection of cloud is often a necessary prerequisite step. Recently, deep learning-based cloud detection methods have shown their potential for cloud detection but they can only be applied locally, leading to inefficient data downloading time and storage problems. This letter proposes a method to directly perform cloud detection in Landsat-8 imagery in GEE based on deep learning (DeepGEE-CD). A deep neural network (DNN) was first trained locally, and then the trained DNN was deployed in the JavaScript client of GEE. An experiment was undertaken to validate the proposed method with a set of Landsat-8 images and the results show that DeepGEE-CD outperformed the widely used function of mask (Fmask) algorithm. The proposed DeepGEE-CD approach can accurately detect cloud in Landsat-8 imagery without downloading it, making it a promising method for routine cloud detection of Landsat-8 imagery in GEE.

Published
2020

14. Spatially Continuous and High-resolution Land Surface Temperature: A Review of Reconstruction and Spatiotemporal Fusion Techniques

Author

Wu, Penghai, Yin, Zhixiang, Zeng, Chao, Duan, Sibo, Gottsche, Frank-Michael, Ma, Xiaoshaung, Li, Xinghua, Yang, Hui, and Shen, Huanfeng

Subjects
Physics - Atmospheric and Oceanic Physics, Electrical Engineering and Systems Science - Image and Video Processing, Physics - Data Analysis, Statistics and Probability
Abstract

Remotely sensed, spatially continuous and high spatiotemporal resolution (hereafter referred to as high resolution) land surface temperature (LST) is a key parameter for studying the thermal environment and has important applications in many fields. However, difficult atmospheric conditions, sensor malfunctioning and scanning gaps between orbits frequently introduce spatial discontinuities into satellite-retri1eved LST products. For a single sensor, there is also a trade-off between temporal and spatial resolution and, therefore, it is impossible to obtain high temporal and spatial resolution simultaneously. In recent years the reconstruction and spatiotemporal fusion of LST products have become active research topics that aim at overcoming this limitation. They are two of most investigated approaches in thermal remote sensing and attract increasing attention, which has resulted in a number of different algorithms. However, to the best of our knowledge, currently no review exists that expatiates and summarizes the available LST reconstruction and spatiotemporal fusion methods and algorithms. This paper introduces the principles and theories behind LST reconstruction and spatiotemporal fusion and provides an overview of the published research and algorithms. We summarized three kinds of reconstruction methods for missing pixels (spatial, temporal and spatiotemporal methods), two kinds of reconstruction methods for cloudy pixels (Satellite Passive Microwave (PMW)-based and Surface Energy Balance (SEB)-based methods) and three kinds of spatiotemporal fusion methods (weighted function-based, unmixing-based and hybrid methods). The review concludes by summarizing validation methods and by identifying some promising future research directions for generating spatially continuous and high resolution LST products., Comment: 41 pages, 7 figures, 2 tables

Published
2019
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23. Base Conversion Model Based on DNA Strand Displacement

Author

Chen, Zhao, Yin, Zhixiang, Cui, Jianzhong, Tang, Zhen, Zhang, Qiang, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Pan, Linqiang, editor, Liang, Jing, editor, and Qu, Boyang, editor

Published
2020
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24. Probe Machine Based Computing Model for Solving Satisfiability Problem

Author

Cui, Jianzhong, Yin, Zhixiang, Yang, Jing, Geng, Xianya, Zhang, Qiang, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Pan, Linqiang, editor, Liang, Jing, editor, and Qu, Boyang, editor

Published
2020
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26. Optimization of emergency logistics delivery path based on guided local search algorithm.

Author

Yin, Zhixiang, Yin, Zongyi, Ye, Jiamei, and Liu, Runchang

Subjects
*SIMULATED annealing, *WAREHOUSES, *K-means clustering, *LOGISTICS, *SEARCH algorithms, *CLUSTER analysis (Statistics), *PROBLEM solving
Abstract

Nowadays, the demand for risk response is increasing in countries worldwide, leading to the development of emergency-related industries as strategic emerging sectors. However, the emergency logistics industry is facing increasingly critical distribution issues. This study applies K-means clustering analysis to convert multiple distribution centers into multiple single distribution center problems. It then compares and analyzes the vehicle routing model with time windows for emergency logistics delivery in multiple distribution centers using guided local search (GLS), taboo search (TS), and simulated annealing (SA) algorithm. The results demonstrate that the GLS algorithm outperformed both the SA and TS algorithm in optimizing emergency logistics delivery paths for multiple distribution centers. The GLS algorithm proved to be more effective in solving this problem. This study confirms the contemporary value of emergency logistics distribution problems and offers practical insights into optimizing emergency logistics distribution paths in multiple distribution centers. [ABSTRACT FROM AUTHOR]

Published
2024
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27. A study of the shallow water waves with some Boussinesq-type equations.

Author

Kai, Yue, Chen, Shuangqing, Zhang, Kai, and Yin, Zhixiang

Subjects
WATER waves, WATER depth, APPLIED mechanics, FLUID mechanics, EQUATIONS, OCEAN engineering
Abstract

In this paper, analytic solutions and dynamic properties of a variety of Boussinesq-type equations are established via the complete discrimination system for polynomial method. All the existing single traveling wave solutions to these equations as well as some new solutions are shown, and the Hamiltonian and topological properties to these equations are also presented. Considering the significance of the Boussinesq-type equations, our results would have wide applications in ocean engineering and fluid mechanics, like describing and predicting the solitary and periodic waves in various shallow water models. [ABSTRACT FROM AUTHOR]

Published
2024
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28. A Computing Model for Four-Valued Logic AND Gate Based on DNA Origami and DNA Displacement

Author

Tang, Zhen, Yin, Zhixiang, Sun, Xia, Yang, Jing, Cui, Jianzhong, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Ghosh, Ashish, Series Editor, Peng, Hu, editor, Deng, Changshou, editor, Wu, Zhijian, editor, and Liu, Yong, editor

Published
2019
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29. 0-1 Integer Programming Based on DNA Tetrahedral Probe

Author

Yang, Jing, Yang, Xinmu, Yin, Zhixiang, Qiang, Zhang, Cui, Jianzhong, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Ghosh, Ashish, Series Editor, Peng, Hu, editor, Deng, Changshou, editor, Wu, Zhijian, editor, and Liu, Yong, editor

Published
2019
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32. The Chinese Postman Problem Based on the Probe Machine Model

Author

Yang, Jing, Yin, Zhixiang, Cui, Jianzhong, Zhang, Qiang, Tang, Zhen, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Qiao, Jianyong, editor, Zhao, Xinchao, editor, Pan, Linqiang, editor, Zuo, Xingquan, editor, Zhang, Xingyi, editor, Zhang, Qingfu, editor, and Huang, Shanguo, editor

Published
2018
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33. Hybrid Invasive Weed Optimization and GA for Multiple Sequence Alignment

Author

Gao, Chong, Wang, Bin, Zhou, Changjun, Zhang, Qiang, Yin, Zhixiang, Fang, Xianwen, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Qiao, Jianyong, editor, Zhao, Xinchao, editor, Pan, Linqiang, editor, Zuo, Xingquan, editor, Zhang, Xingyi, editor, Zhang, Qingfu, editor, and Huang, Shanguo, editor

Published
2018
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34. DNA Origami Based Computing Model for the Satisfiability Problem

Author

Yang, Zhenqin, Yin, Zhixiang, Cui, Jianzhong, Yang, Jing, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Qiao, Jianyong, editor, Zhao, Xinchao, editor, Pan, Linqiang, editor, Zuo, Xingquan, editor, Zhang, Xingyi, editor, Zhang, Qingfu, editor, and Huang, Shanguo, editor

Published
2018
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35. Rock-Paper-Scissors Game Based on Two-Domain DNA Strand Displacement

Author

Xie, Wendan, Zhou, Changjun, Fang, Xianwen, Yin, Zhixiang, Zhang, Qiang, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Li, Kangshun, editor, Li, Wei, editor, Chen, Zhangxing, editor, and Liu, Yong, editor

Published
2018
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40. The Working Operation Problem Based on Probe Machine Model

Author

Yang, Jing, Yin, Zhixiang, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Gong, Maoguo, editor, Pan, Linqiang, editor, Song, Tao, editor, and Zhang, Gexiang, editor

Published
2016
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48. The Molecular Beacons Self-assembly Model of the Dislocation Permutation Problem

Author

Yang, Jing, Yin, Zhixiang, Chen, Mingqiang, Cui, Jianzhong, Junqueira Barbosa, Simone Diniz, Series editor, Chen, Phoebe, Series editor, Cuzzocrea, Alfredo, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Sivalingam, Krishna M., Series editor, Ślęzak, Dominik, Series editor, Washio, Takashi, Series editor, Yang, Xiaokang, Series editor, Pan, Linqiang, editor, Păun, Gheorghe, editor, Pérez-Jiménez, Mario J., editor, and Song, Tao, editor

Published
2014
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