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Energy efficiency optimization of cognitive relay network based on cooperative spectrum sensing

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The Journal of China Universities of Posts and Telecommunications 2015年第3期22卷 26-34页

作者： Song Yaolian Zhang Fan Shao Yubin Long Hua faculty of information Engineering and automation Kunming University of Science and Technology

This paper focuses on the energy efficiency of cognitive relay （CR） networks with cooperative sensing, joint optimization of the sensing time and the signal-to-noise ratio （SNR） is studied to maximize the energy efficiency of CR network. Theoretical analysis shows that there exists an optimal sensing time and optimal SNR to make the energy efficiency maximized under a constraint of detection probability. Simulation results illustrate that the optimal fusion rule performs better than the OR rule and the AND rule in terms of the energy efficiency. By properly designing the fusion rule threshold as well as the number of cooperative sensing users, the energy efficiency of CR networks can be further improved.

关键词： cognitive radio network cognitive relay network energy efficiency sensing time fusion rule threshold number of cooperative sensingusers

A Novel Self-Supervised Learning Network for Binocular Disparity Estimation

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 209-229页

作者： Jiawei Tian Yu Zhou Xiaobing Chen Salman A.AlQahtani Hongrong Chen Bo Yang Siyu Lu Wenfeng Zheng Department of Computer Science and Engineering Major in Bio Artificial IntelligenceHanyang UniversityAnsan-si15577Republic of Korea School of Electrical and Computer Engineering Louisiana State UniversityBaton RougeLA 70803USA Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11574Saudi Arabia School of automation University of Electronic Science and Technology of ChinaChengdu610054China

Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical *** study proposes a novel end-to-end disparity estimation model to address these *** approach combines a Pseudo-Siamese neural network architecture with pyramid dilated convolutions,integrating multi-scale image information to enhance robustness against lighting *** study introduces a Pseudo-Siamese structure-based disparity regression model that simplifies left-right image comparison,improving accuracy and *** model was evaluated using a dataset of stereo endoscopic videos captured by the Da Vinci surgical robot,comprising simulated silicone heart sequences and real heart video *** results demonstrate significant improvement in the network’s resistance to lighting interference without substantially increasing ***,the model exhibited faster convergence during training,contributing to overall performance *** study advances endoscopic image processing accuracy and has potential implications for surgical robot applications in complex environments.

关键词： Parallax estimation parallax regression model self-supervised learning Pseudo-Siamese neural network pyramid dilated convolution binocular disparity estimation

Technique for Recovering Wavefront Phase Bad Points by Deep Learning

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Chinese Journal of Electronics 2023年第2期32卷 303-312页

作者： WU Jiali LIANG Jingyuan FEI Shaolong ZHONG Xirui faculty of automation & information Engineering Xi'an University of Technology

In adaptive optics systems, the bad spot detected by the wavefront detector affects the wavefront reconstruction accuracy. A convolutional neural network(CNN) model is established to estimate the missing information on bad points, reduce the reconstruction error of the distorted wavefront. By training 10,000 groups of spot array images and the corresponding 30th order Zernike coefficient samples, learns the relationship between the light intensity image and the Zernike coefficient, and predicts the Zernike mode coefficient based on the spot array image to restore the wavefront. Following the wavefront restoration of 1,000 groups of test set samples, the root mean square(RMS) error between the predicted value and the real value was maintained at approximately 0.2 μm. Field wavefront correction experiments were carried out on three links of 600 m, 1.3 km,and 10 km. The wavefront peak-to-valley values corrected by the CNN decreased from 12.964 μm, 13.958 μm,and 31.310 μm to 0.425 μm, 3.061 μm, and 11.156 μm, respectively, and the RMS values decreased from 2.156 μm,9.158 μm, and 12.949 μm to approximately 0.166 μm, 0.852μm, and 6.963 μm, respectively. The results show that the CNN method predicts the missing wavefront information of the sub-aperture from the bad spot image, reduces the wavefront restoration error, and improves the wavefront correction performance.

关键词： Training Atmospheric modeling Optical distortion Feature extraction Adaptive optics Image restoration Convolutional neural networks

Multi-channel access technology based on wavelength division multiplexing in wireless UV communication mesh network

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Optoelectronics Letters 2013年第3期9卷 208-212页

作者：赵太飞张爱利薛蓉莉 faculty of automation and information Engineering Xi'an University of Technology

In this paper, the multi-channel access technology of wavelength division multiplexing (WDM) in the wireless ultraviolet (UV) scattering communication is studied. A multi-interface and multi-channel device is deployed in each UV transceiver node. The band-pass filter is configured in the receiving node so as to realize the multi-channel access by use of the UV WDM technology. Both the UV communication node model and the UV channel model are established. Three types of UV no-line-of-sight (NLOS) multi-channel communications are simulated in the mesh topologies with NS2. The results show that the UV multi-channel access technology can increase network throughput effectively with using WDM.

关键词：紫外光通信网络技术光通信网波分复用无线 WDM技术渠道节点模型

A new ant colony-based routing algorithm with unidirectional link in UV mesh communication wireless network

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Optoelectronics Letters 2011年第2期7卷 139-142页

作者：柯熙政何华吴长丽 faculty of automation and information Engineering Xi'an University of Technology

Aiming at the unidirectional links coming from nodes with different transmitting power and the obstacle blocking in UV mesh wireless communication network and the traditional ant colony algorithm only supporting bidirectional links, a new ant colony based routing algorithm with unidirectional link in UV mesh communication wireless network is proposed. The simulation results show that the proposed algorithm can improve the overall network connectivity and the survivability by supporting the combination of unidirectional link and bidirectional link.

关键词：单向链路路由算法蚁群算法无线网络光通信网紫外线无线通信网络发射功率

An efficient binary programming method for black-box optimization and its application in processor design

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Science China(information Sciences) 2024年第12期67卷 140-156页

作者： Xiaoliang LV Qiaozhu ZHAI Jianchen HU Yuhang ZHU Jinhui LIU Xiaohong GUAN faculty of Electronic and information Engineering Xi'an Jiaotong University Department of automation Tsinghua University

Optimizing the parameter settings in a large design space for the processor with limited simulation resources is a challenging task. The current black-box optimization algorithms for processor design space exploration(DSE) problems usually require a large amount of simulation resources for high-dimensional and discrete problems. Besides, the constraints handling techniques in these algorithms need to be improved. To address the issues, we propose an efficient binary integer programming(BIP) approach for the DSE of the processor with strictly guaranteed constraints. Our approach involves adopting the separability assumption to establish a surrogate objective function that is ordinal consistent, thus avoiding the complex non-linearity of the real objective function. Moreover, the design rules can be taken simply as constraints in BIP model to further reduce the design space. Thus, the efforts spent in the infeasible exploration space can be *** experimental results show that the proposed algorithm outperforms the state-of-the-art Bayesian optimization and evolutionary algorithms in terms of exploration efficiency, required simulation points and performance of the recommended points.

关键词： black-box optimization binary programming design space exploration processor design expensive simulation system

APST-Flow: A Reversible Network-Based Artistic Painting Style Transfer Method

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Computers, Materials & Continua 2023年第6期75卷 5229-5254页

作者： Meng Wang Yixuan Shao Haipeng Liu faculty of information Engineering and automation Kunming University of Science and TechnologyKunming650500China

In recent years,deep generative models have been successfully applied to perform artistic painting style transfer(APST).The difficulties might lie in the loss of reconstructing spatial details and the inefficiency of model convergence caused by the irreversible en-decoder methodology of the existing *** to this,this paper proposes a Flow-based architecture with both the en-decoder sharing a reversible network *** proposed APST-Flow can efficiently reduce model uncertainty via a compact analysis-synthesis methodology,thereby the generalization performance and the convergence stability are *** the generator,a Flow-based network using Wavelet additive coupling(WAC)layers is implemented to extract multi-scale content ***,a style checker is used to enhance the global style consistency by minimizing the error between the reconstructed and the input *** enhance the generated salient details,a loss of adaptive stroke edge is applied in both the global and local model *** experimental results show that the proposed method improves PSNR by 5%,SSIM by 6.2%,and decreases Style Error by 29.4%over the existing models on the ChipPhi *** competitive results verify that APST-Flow achieves high-quality generation with less content deviation and enhanced generalization,thereby can be further applied to more APST scenes.

关键词： Artistic painting style transfer reversible network generative adversarial network wavelet transform

An Encode-and CRT-Based Scalability Scheme for Optimizing Transmission in Blockchain

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1733-1754页

作者： Qianqi Sun Fenhua Bai faculty of information Engineering and automation Kunming University of Science and TechnologyKunming650500China

Blockchain technology has witnessed a burgeoning integration into diverse realms of economic and societal ***,scalability challenges,characterized by diminished broadcast efficiency,heightened communication overhead,and escalated storage costs,have significantly constrained the broad-scale application of *** paper introduces a novel Encode-and CRT-based Scalability Scheme(ECSS),meticulously refined to enhance both block broadcasting and ***,ECSS categorizes nodes into distinct domains,thereby reducing the network diameter and augmenting transmission ***,ECSS streamlines block transmission through a compact block protocol and robust RS coding,which not only reduces the size of broadcasted blocks but also ensures transmission ***,ECSS utilizes the Chinese remainder theorem,designating the block body as the compression target and mapping it to multiple modules to achieve efficient storage,thereby alleviating the storage burdens on *** evaluate ECSS’s performance,we established an experimental platformand conducted comprehensive *** results demonstrate that ECSS attains superior network scalability and stability,reducing communication overhead by an impressive 72% and total storage costs by a substantial 63.6%.

关键词： Blockchain network coding block compression transmission optimization

Structural, Anisotropic and Thermodynamic Properties of Imm2-BCN

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Journal of Wuhan University of Technology(Materials Science) 2016年第6期31卷 1272-1279页

作者：邢孟江 li binhua yu zhengtao chen qi faculty of information Engineering & automation Kunming University of Science and Technology Kunming 650051 China

Structural, anisotropic, and thermodynamic properties of Imm2-BCN were studied based on density function theory with the ultrasoft psedopotential scheme in the frame of the generalized gradient approximation（GGA）. The elastic constants were confirmed that the predicted Imm2-BCN is mechanically stable. The anisotropy of elastic properties were also studied systematically. The anisotropy studies of Young＇s modulus, shear modulus, linear compressibility, and Poisson＇s ratio show that the Imm2-BCN exhibits a large anisotropy. Through the quasi-harmonic Debye model, the relations between the equilibrium volume V, thermal expansion α, the heat capacity C_V and CP, the Grüneisen parameter γ, and the Debye temperature Θ_D with pressure P and temperature T were also studied systematically.

关键词： anisotropic properties thermodynamic properties the quasi-harmonic Debye model BCN