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Deep Guided Attention Network for Joint Denoising and Demosaicing in Real Image

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Chinese Journal of electronics 2024年第1期33卷 303-312页

作者： Tao zhang Ying FU jun zhang school of Computer Science and Technology Beijing Institute of Technology Advanced Reasearch Institute of Multidisciplinary Science Beijing Institute of Technology

Denoising(DN) and demosaicing(DM) are the first crucial stages in the image signal processing pipeline. Recently, researches pay more attention to solve DN and DM in a joint manner, which is an extremely undetermined inverse problem. Existing deep learning methods learn the desired prior on synthetic dataset, which limits the generalization of learned network to the real world data. Moreover, existing methods mainly focus on the raw data property of high green information sampling rate for DM, but occasionally exploit the high intensity and signalto-noise(SNR) of green channel. In this work, a deep guided attention network(DGAN) is presented for real image joint DN and DM(JDD), which considers both high SNR and high sampling rate of green information for DN and DM, respectively. To ease the training and fully exploit the data property of green channel, we first train DN and DM sub-networks sequentially and then learn them jointly, which can alleviate the error accumulation. Besides, in order to support the real image JDD, we collect paired raw clean RGB and noisy mosaic images to conduct a realistic dataset. The experimental results on real JDD dataset show the presented approach performs better than the state-of-the-art methods, in terms of both quantitative metrics and qualitative visualization.

关键词： Training Visualization Inverse problems Green products Noise reduction Pipelines Signal processing

A Task Scheduling Algorithm Based on Clustering Pre-processing in Space-Based information Network

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Chinese Journal of electronics 2024年第1期33卷 217-230页

作者： Yufei WANG jun LIU Shengnan zhang Sai XU Jingyi WANG school of Computer Science and engineering Northeastern University

With the diversification of space-based information network task requirements and the dramatic increase in demand, the efficient scheduling of various tasks in space-based information network becomes a new challenge. To address the problems of a limited number of resources and resource heterogeneity in the space-based information network, we propose a bilateral pre-processing model for tasks and resources in the scheduling pre-processing stage. We use an improved fuzzy clustering method to cluster tasks and resources and design coding rules and matching methods to match similar categories to improve the clustering effect. We propose a space-based information network task scheduling strategy based on an ant colony simulated annealing algorithm for the problems of high latency of space-based information network communication and high resource dynamics. The strategy can efficiently complete the task and resource matching and improve the task scheduling performance. The experimental results show that our proposed task scheduling strategy has less task execution time and higher resource utilization than other algorithms under the same experimental conditions. It has significantly improved scheduling performance.

关键词： Scheduling algorithms Heuristic algorithms Clustering methods Clustering algorithms Simulated annealing Dynamic scheduling Search problems

A comprehensive analysis of DAC-SDC FPGA low power object detection challenge

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Science china(information Sciences) 2024年第8期67卷 300-320页

作者： Jingwei zhang Guoqing LI Meng zhang Xinye CAO Yu zhang Xiang LI Ziyang CHEN {3. YANG school of electronics Science and engineering Southeast University

The lower power object detection challenge(LPODC) at the IEEE/ACM Design Automation Conference is a premier contest in low-power object detection and algorithm(software)-hardware co-design for edge artificial intelligence, which has been a success in the past five years. LPODC focused on designing and implementing novel algorithms on the edge platform for object detection in images taken from unmanned aerial vehicles(UAVs), which attracted hundreds of teams from dozens of countries to participate. Our team SEUer has been participating in this competition for three consecutive years from 2020 to 2022 and obtained sixth place respectively in 2020 and 2021. Recently, we achieved the championship in 2022. In this paper, we presented the LPODC for UAV object detection from 2018 to 2022, including the dataset, hardware platform,and evaluation method. In addition, we also introduced and discussed the details of methods proposed by each year's top three teams from 2018 to 2022 in terms of network, accuracy, quantization method, hardware performance, and total score. Additionally, we conducted an in-depth analysis of the selected entries and results, along with summarizing representative methodologies. This analysis serves as a valuable practical resource for researchers and engineers in deploying the UAV application on edge platforms and enhancing its feasibility and reliability. According to the analysis and discussion, it becomes evident that the adoption of a hardware-algorithm co-design approach is paramount in the context of tiny machine learning(TinyML).This approach surpasses the mere optimization of software and hardware as separate entities, proving to be essential for achieving optimal performance and efficiency in TinyML applications.

关键词： tiny machine learning object detection convolutional neural networks algorithm-hardware co-design low power field programmable gate array

Luminescence properties and optical sensing behaviors of Sr_(2)GdSbO_(6):Eu^(3.) phosphors

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Journal of Rare Earths 2024年第8期42卷 1458-1469,I0002页

作者： Youfa Tai Ruirui Cui jun zhang Chunkai Wang Tingyu Zhao Beiqiao zhang Chaoyong Deng Key Laboratory of Functional Composite Materials of Guizhou Province College of Big Data and Information EngineeringGuizhou UniversityGuiyang550025China College of Computer and information engineering Guizhou University of CommerceGuiyang550014China school of electronics and information {3. Guiyang UniversityGuiyang550005China

Novel orange-red Sr_(2)GdSbO_(6):xEu^(3.)(x=0,0.05,0.1,0.2,0.3.0.4,0.5 and 0.6) phospho rs were successfully prepared by the traditional high-temperature solid-state *** results of Rietveld refinement,energy dispersive spectroscopy(EDS) spectrum and elemental mapping demonstrate that Eu^(3.) successfully replaces the Gd^(3.) sites and distributes uniformly in the particles of *** luminescence properties of Sr_(2)GdSbO_(6):Eu_(3.)phosphors were investigated in *** emission spectra of the strongest emission peak is the ^(5)D_(0)→^(7)F_(1)(593.nm) transition,which can emit orange-red light under3.3.nm *** the doping concentration of Eu3.ions is x=0.2,the luminescence intensity of the phosphors reaches the *** detailed mechanism of concentration quenching is attributed to dipole-dipole *** thermal stability values of Sr_(2)GdSbO_(6):0.2Eu^(3.) phosphors are 87%,82% and114% under 3.3.467 and 527 nm excitations,*** causes of the abnormal thermal quenching under 527 nm excitation were *** on the abnormal thermal quenching under527 nm excitation,the optical thermometry properties of Sr_(2)GdSbO_(6):0.2Eu^(3.)phosphors were investigated by fluorescence intensity ratio(FIR) technique,and appreciable relative sensitivity was *** results suggest that Sr_(2)GdSbO_(6):0.2Eu^(3.)phosphors can be potentially applied to w-LEDs and optical thermometers.

关键词： Sr_(2)GdSbO_(6):Eu^(3.) Phosphors Luminescence properties Abnormal thermal quenching Rare earths

IMPROVEMENT OF TCAM-BASED PACKET CLASSIFICATION ALGORITHM

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Journal of electronics(china) 2008年第2期25卷 239-245页

作者： Xu Zhen zhang jun Rui Liyang Sun jun The school of electronics and information {3. Beijng University of Aeronautics and Astronautics Beijing 100083 China

The feature of Ternary Content Addressable Memories(TCAMs) makes them particularly attractive for IP address lookup and packet classification applications in a router system. However,the limitations of TCAMs impede their utilization. In this paper,the solutions for decreasing the power consumption and avoiding entry expansion in range matching are addressed. Experimental results demonstrate that the proposed techniques can make some big improvements on the performance of TCAMs in IP address lookup and packet classification.

关键词： Packet classification Address lookup Ternary Content Addressable Memory (TCAM) Energy-efficient design

Constructing LDPC codes with given distribution pairs by quasi Tanner graphs

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Constructing LDPC codes with given distribution pairs by qua...

第十三届全国青年通信学术会议

作者： Lu Hongsheng Luo Xilin zhang jun school of electronics and information engineering,beijing University of aeronautics and {3.,beijing,10083.china

＜正＞In this paper,we advance a method for constructing low-parity density-check（LDPC）codes having a large girth greater than 6 by directly connecting variable nodes of the Tanner graphs,called quasi-Tanner graph（QTG）constructing ***- striction on distribution pairs for the method is provided in terms of code length,row and column *** upper bound on the girth of a Q-T graph is derived using initialization parameters of the graphs based on a connection strategy provided to approach the ***,simulation results show that LDPC codes constructed by QTG algorithm perform better than random codes with the same distribution pairs.

关键词： Girth low-parity density-check(LDPC)codes quasi Tanner graphs

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一种简化的移动卫星网仿真方案

系统仿真学报 2005年第1期17卷 207-209,222页

作者：苑喆张军柳重堪北京航空航天大学电子信息工程学院北京100083

鉴于以星座组网模式建立的卫星网在仿真上实现的难度很大,提出了一种简化的卫星网仿真方案,利用地面固定的有线网络,在其中加入卫星网特性模型,使其完全呈现出卫星网固有的动态网络拓扑特性和动态网络时延特性。最后在OPNET上实现了本... 详细信息

鉴于以星座组网模式建立的卫星网在仿真上实现的难度很大,提出了一种简化的卫星网仿真方案,利用地面固定的有线网络,在其中加入卫星网特性模型,使其完全呈现出卫星网固有的动态网络拓扑特性和动态网络时延特性。最后在OPNET上实现了本仿真方案。

关键词：卫星网路由交换组网仿真协议仿真 OPNET

Comprehension of Designing Multi-frequency and multi-polarization Stacked-patch Antenna of Low-AR and High-Gain at Large Theta Angle

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Comprehension of Designing Multi-frequency and multi-polariz...

The Clustering Algorithm of UAV Networking in Near-space

IEEE 2007 International Symposium on Microwave,Antenna,Propagation and EMC Technologies for Wireless Communications(ISMAPE-2007)

作者： Luo Xianliang Miao jungang zhang Yingfeng zhang Yan ({3. of electronics and information engineering,beijing University of aeronautics and astronautics,beijing 100083.china

A kind of probe-group-fed multi-layer right-hand-circular polarized(RHCP) and left-hand-circular polarized(LHCP) antenna is discussed in this *** basic theory on BW(bandwidth),AR(axial ratio),Gain and some methods for optimization BW,AR,Gain have been *** conclusion has been pointed out for designing antennas of low-AR and high-Gain in large theta angles for GPS communication system.

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The Clustering Algorithm of UAV Networking in Near-space