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No-Reference Image Quality Assessment Method Based on Visual Parameters

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Journal of Electronic science and technology 2019年第2期17卷 171-184页

作者： Yu-Hong Liu Kai-Fu yang Hong-Mei yan Key Laboratory for Neuroinformation of Ministry of Education University of Electronic Science and Technology of China Chengdu 610054 China Department of Biomedical Engineering Chengdu Medical College Chengdu 610050 China

Recent studies on no-reference image quality assessment (NR-IQA) methods usually learn to evaluate the image quality by regressing from human subjective scores of the training samples. This study presented an NR-IQA method based on the basic image visual parameters without using human scored image databases in learning. We demonstrated that these features comprised the most basic characteristics for constructing an image and influencing the visual quality of an image. In this paper, the definitions, computational method, and relationships among these visual metrics were described. We subsequently proposed a no-reference assessment function, which was referred to as a visual parameter measurement index (VPMI), based on the integration of these visual metrics to assess image quality. It is established that the maximum of VPMI corresponds to the best quality of the color image. We verified this method using the popular assessment database—image quality assessment database (LIVE), and the results indicated that the proposed method matched better with the subjective assessment of human vision. Compared with other image quality assessment models, it is highly competitive. VPMI has low computational complexity, which makes it promising to implement in real-time image assessment systems.

关键词： Bandwidth human visual system information entropy luminance no-reference image quality assessment (NR-IQA) visual parameter measurement index (VPMI)

Distributed Privacy-Preserving Fusion Estimation Using Homomorphic Encryption

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Journal of Beijing Institute of technology 2022年第6期31卷 551-558页

作者： Xinhao yan Siqin Zhuo yancheng Wu Bo Chen college of information Engineering Zhejiang University of TechnologyHangzhou 310023China Zhejiang Provincial United Key Laboratory of Embedded Systems Hangzhou 310032China college of science Zhejiang University of TechnologyHangzhou 310023China

The privacy-preserving problem for distributed fusion estimation scheme is concerned in this *** legitimate user wants to obtain consistent information from multiple sensors,it always employs a fusion center(FC)to gather local data and compute distributed fusion estimates(DFEs).Due to the existence of potential eavesdropper,the data exchanged among sensors,FC and user imperatively require privacy ***,we propose a distributed confidentiality fusion structure against eavesdropper by using Paillier homomorphic encryption *** this case,FC cannot acquire real values of local state estimates,while it only helps calculate encrypted ***,the legitimate user can successfully obtain the true values of DFEs according to the encrypted information and secret keys,which is based on the homomorphism of ***,an illustrative example is provided to verify the effectiveness of the proposed methods.

关键词： eavesdropping attack distributed fusion estimation(DFE) homomorphic encryption computational privacy

Optimized sparse polynomial chaos expansion with entropy regularization

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Advances in Aerodynamics 2022年第1期4卷 39-57页

作者： Sijie Zeng Xiaojun Duan Jiangtao Chen Liang yan college of Liberal Arts and sciences National University of Defense TechnologyChangshaChina china Aerodynamics Research and Development Center MianyangChina

Sparse Polynomial Chaos Expansion(PCE)is widely used in various engineering fields to quantitatively analyse the influence of uncertainty,while alleviating the problem of dimensionality ***,current sparse PCE techniques focus on choosing features with the largest coefficients,which may ignore uncertainties propagated with high order ***,this paper proposes the idea of selecting polynomial chaos basis based on information entropy,which aims to retain the advantages of existing sparse techniques while considering entropy change as output uncertainty.A novel entropy-based optimization method is proposed to update the state-of-the-art sparse PCE *** work further develops an entropy-based synthetic sparse model,which has higher computational *** benchmark functions and a computational fluid dynamics(CFD)experiment are used to compare the accuracy and efficiency between the proposed method and classical *** results show that entropy-based methods can better capture the features of uncertainty propagation,improving accuracy and reducing sparsity while avoiding over-fitting problems.

关键词： entropy polynomial chaos

Quantum key distribution based on single-particle and EPR entanglement

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science china(information sciences) 2020年第6期63卷 256-258页

作者： Leilei LI Jian LI yan CHANG Yuguang yanG Xiubo CHEN School of Computer science Beijing University of Posts and Telecommunications Department of Network Engineering Chengdu University of Information Technology college of Computer science and technology Beijing University of Technology School of Cyberspace Security Beijing University of Posts and Telecommunications

Dear editor,The theoretical security of the quantum secure communication protocols can be proved with the law of quantum mechanics, when the classical communication protocols’ security can only depend on the computational complexity [1, 2]. Based on the quantum BB84 protocol [3] and the quantum MEQKD protocol [4], we present a QKD (quantum key distribution) protocol based on a singleparticle and an EPR (Einstein-Podolsky-Rosen)entanglement pair, which is called the quantum TEQKD protocol. Compared with MEQKD,

关键词： Quantum key distribution based on single-particle and EPR entanglement EPR

Image-to-Image Style Transfer Based on the Ghost Module

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Computers, Materials & Continua 2021年第9期68卷 4051-4067页

作者： yan Jiang Xinrui Jia Liguo Zhang Ye Yuan Lei Chen Guisheng Yin college of Computer science and technology Harbin Engineering UniversityHarbin150001China Heilongjiang Hengxun technology Co. Ltd.Harbin150001China college of Engineering and information technology Georgia Southern UniversityStatesboro30458GAUSA

The technology for image-to-image style transfer(a prevalent image processing task)has developed *** purpose of style transfer is to extract a texture from the source image domain and transfer it to the target image domain using a deep neural ***,the existing methods typically have a large computational *** achieve efficient style transfer,we introduce a novel Ghost module into the GANILLA architecture to produce more feature maps from cheap *** we utilize an attention mechanism to transform images with various *** optimize the original generative adversarial network(GAN)by using more efficient calculation methods for image-to-illustration *** experimental results show that our proposed method is similar to human vision and still maintains the quality of the ***,our proposed method overcomes the high computational cost and high computational resource consumption for style *** comparing the results of subjective and objective evaluation indicators,our proposed method has shown superior performance over existing methods.

关键词： Style transfer generative adversarial networks ghost module attention mechanism human visual habits

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基于姿态估计的粮仓作业人员摔倒检测研究

计算机仿真 2024年第5期41卷 236-241页

作者：孙福艳桂崇文吕宗旺甄彤河南工业大学信息科学与工程学院河南郑州450001

近些年时常发生粮仓作业人员因意外跌入粮堆无法自救、熏蒸作业中毒晕倒等安全问题。为了及时获取有效信息,减少对工人的伤害,提出一种自下而上的人体姿态估计方法,建立对粮仓工作人员状态检测模型。首先制作不同角度的粮仓作业视频和... 详细信息

近些年时常发生粮仓作业人员因意外跌入粮堆无法自救、熏蒸作业中毒晕倒等安全问题。为了及时获取有效信息,减少对工人的伤害,提出一种自下而上的人体姿态估计方法,建立对粮仓工作人员状态检测模型。首先制作不同角度的粮仓作业视频和摔倒状态公共数据集;接着改进轻量级OpenPose算法,数据集引入算法生成骨骼图像;最后设计摔倒检测算法,得到一种基于姿态估计的粮仓作业人员摔倒检测模型。实验结果表明,检测摔倒状态准确率有所提高,轻量级OpenPose算法计算量较少,内存占用小,可以实时地检测粮仓作业人员摔倒状态。

关键词：人体姿态估计摔倒检测轻量级算法

An abundance estimation algorithm based on orthogonal bases for hyperspectral image

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Optoelectronics Letters 2019年第5期15卷 396-400页

作者： ZHAO yan ZHOU Zhen WANG Dong-hui School of Measurement and Communication Engineering Harbin University of Science and Technology Harbin 150080 China college of information and Communication Engineering Harbin Engineering University Harbin 150001 China

An abundance estimation algorithm based on orthogonal bases is proposed to address the problem of high computational complexity faced by most abundance estimation algorithms that are based on a linear spectral mixing model(LSMM) and need to perform determinant operations and matrix inversion operations. The proposed algorithm uses the Gram-Schmidt method to calculate the endmember vector set to obtain the corresponding orthogonal basis set and solve the unmixing equations to obtain the eigenvector of each endmember. The spectral vector to be decomposed is projected onto the eigenvector to obtain projection vector, and the ratio between the length of the projection vector and the length of the orthogonal basis corresponding endmember is calculated to obtain an abundance estimation of the endmember. After a comparative analysis of different algorithms, it is concluded that the proposed algorithm only needs to perform vector inner product operations, thereby significantly reducing the computational complexity. The effectiveness of the algorithm was verified by experiments using simulation data and actual image data.

关键词： linear spectral mixing model(LSMM) perform determinant operations matrix inversion operations

An efficient lossy link localization approach for wireless sensor networks

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Frontiers of information technology & Electronic Engineering 2017年第5期18卷 689-707页

作者： Wen-yan CUI Xiang-ru MENG Bin-feng yanG Huan-huan yanG Zhi-yuan ZHAO college of information and Navigation Air Force Engineering UniversityXi'an 710077China Department of Electronic Engineering Tsinghua UniversityBeijing 100084China PLA of 94543 lining 272000China

Network fault management is crucial for a wireless sensor network(WSN) to maintain a normal running state because faults(e.g., link failures) often occur. The existing lossy link localization(LLL) approach usually infers the most probable failed link set first, and then gives the fault hypothesis set. However, the inferred failed link set contains many possible failures that do not actually occur. That quantity of redundant information in the inferred set can pose a high computational burden on fault hypothesis inference, and consequently decreases the evaluation accuracy and increases the failure localization time. To address the issue, we propose the conditional information entropy based redundancy elimination(CIERE), a redundant lossy link elimination approach, which can eliminate most redundant information while reserving the important information. Specifically, we develop a probabilistically correlated failure model that can accurately reflect the correlation between link failures and model the nondeterministic fault propagation. Through several rounds of mathematical derivations, the LLL problem is transformed to a set-covering problem. A heuristic algorithm is proposed to deduce the failure hypothesis set. We compare the performance of the proposed approach with those of existing LLL methods in simulation and on a real WSN, and validate the efficiency and effectiveness of the proposed approach.

关键词： Lossy link localization Redundancy eliminating algorithm Set-covering Wireless sensor networks(WSNs) Network diagnosis

Temperature-controlled multisensory neuromorphic devices for artificial visual dynamic capture enhancement

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Nano Research 2023年第5期16卷 7661-7670页

作者： Gengxu Chen Xipeng Yu Changsong Gao yan Dai yanxue Hao Rengjian Yu Huipeng Chen Tailiang Guo National&Local United Engineering Laboratory of Flat Panel Display technology Institute of Optoelectronic DisplayCollege of Physics and Information EngineeringFuzhou UniversityFuzhou 350108China Fujian science&technology Innovation Laboratory for Optoelectronic information of china Fuzhou 350100China

Multi-sensory neuromorphic devices(MND)have broad potential in overcoming the structural bottleneck of von Neumann in the era of big ***,the current multisensory artificial neuromorphic system is mainly based on unitary nonvolatile memory or volatile synaptic devices without intrinsic thermal sensitivity,which limits the range of biological multisensory perception and the flexibility and computational efficiency of the neural morphological computing ***,a temperature-dependent memory/synaptic hybrid artificial neuromorphic device based on floating gate phototransistors(FGT)is *** CsPbBr_(3)/TiO_(2)core–shell nanocrystals(NCs)prepared by in-situ pre-protection low-temperature solvothermal method were used as the photosensitive *** device exhibits remarkable multi-level visual memory with a large memory window of 59.6 V at room ***,when the temperature varies from 20 to 120℃back and forth,the device can switch between nonvolatile memory and volatile synaptic device with reconfigurable and reversible behaviors,which contributes to the efficient visual/thermal fusion *** work expands the sensory range of multisensory devices and promotes the development of memory and neuromorphic devices based on organic field-effect transistors(OFET).

关键词： floating gate phototransistors perovskite nanocrystals temperature multisensory neuromorphic devices