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An improved pulse coupled neural networks model for semantic IoT

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Digital Communications and Networks 2024年第3期10卷 557-567页

作者： Rong ma Zhen Zhang Yide ma Xiping Hu Edith C.H.Ngai Victor C.m.Leung School of Information Science and Engineering Lanzhou UniversityLanzhou 730000China School of medical Technology Beijing Institute of TechnologyBeijing100081China Department of Electrical and Electronic Engineer The University of Hong KongHong Kong 999077China College of Computer Science and Software Engineering Shenzhen UniversityShenzhen 518060China Department of Electrical and Computer Engineering the University of British ColumbiaVancouverBC V6T 1Z4Canada

In recent years,the Internet of Things(IoT)has gradually developed applications such as collecting sensory data and building intelligent services,which has led to an explosion in mobile data ***,with the rapid development of artificial intelligence,semantic communication has attracted great attention as a new communication ***,for IoT devices,however,processing image information efficiently in real time is an essential task for the rapid transmission of semantic *** the increase of model parameters in deep learning methods,the model inference time in sensor devices continues to *** contrast,the Pulse Coupled Neural Network(PCNN)has fewer parameters,making it more suitable for processing real-time scene tasks such as image segmentation,which lays the foundation for real-time,effective,and accurate image ***,the parameters of PCNN are determined by trial and error,which limits its *** overcome this limitation,an Improved Pulse Coupled Neural Networks(IPCNN)model is proposed in this *** IPCNN constructs the connection between the static properties of the input image and the dynamic properties of the neurons,and all its parameters are set adaptively,which avoids the inconvenience of manual setting in traditional methods and improves the adaptability of parameters to different types of *** segmentation results demonstrate the validity and efficiency of the proposed self-adaptive parameter setting method of IPCNN on the gray images and natural images from the matlab and Berkeley Segmentation *** IPCNN method achieves a better segmentation result without training,providing a new solution for the real-time transmission of image semantic information.

关键词： Internet of things(IoT) Semantic information Real-time application Improved pulse coupled neural network Image segmentation

Dynamic Equivalent modeling for Black-box microgrids Under multi-operating-point by Using LSTm

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 639-648页

作者： Yunlu Li Josep m.Guerrero Junyou Yang Yajuan Guan Guiqing ma Jiawei Feng School of Electrical Engineering Shenyang University of TechnologyShenyang 110819China Department of Energy Technology Center for Research on Microgrids(CROM)Aalborg University9220 Aalborg EastDenmark

Since the high penetration of distributed energy sources complicates the dynamics of electrical power systems,accurate dynamic models are indispensable for study on the transient behavior of the microgrid(mG).In some practices,the lack of full detailed information results in failure of dif-ferential equation based dynamic modeling,which leads to a demand for a black-box mG modeling *** is a critical challenge to maintain the effectiveness of the black-box model under a wide operating range and various fault *** this paper,inspired by the mathematical equivalence between the recurrent neural network(RNN)and differential-algebraic equations(DAEs),a dynamic equivalent modeling method,using long short-term memory(LSTm),is presented to tackle this *** first,the modeling equivalence and advantages of our basic idea are ***,modeling procedures,including data preparation and design guidelines,are ***,the proposed method is applied to a multi-microgrid testing system for performance *** results,under various scenarios,reveal that the proposed modeling method has an adequate capability for representing the dynamic behaviors of a black-box mG under grid fault and operating point changing *** Terms-Deep learning,dynamic behavior,dynamic equivalent model,microgrid,neural network.

关键词： Deep learning dynamic behavior dynamic equivalent model microgrid neural network

Two-Dimensional metallophthalocyanine Nanomaterials for Electrocatalytic Energy Conversion

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Energy & Environmental materials 2024年第4期7卷 364-385页

作者： Xinqi Wang Shaohui Sun Jiahao Yao Hao Wan Renzhi ma Wei ma School of Chemical Engineering and Zhongyuan Critical metals Laboratory Zhengzhou University Research Center for materials Nanoarchitectonics (maNA) National Institute for Materials Science (NIMS)

Crowing energy demand drives the rapid development of clean and reliable energy *** the past years,the exploration of novel materials with considerable efficiency and durability has drawn attention in the area of elec... 详细信息

关键词： conjugated nanostructure electrocatalysis 2D metallophthalocyanines

Two-stage aging treatment to accelerate aging kinetics without impairing strength in B_4C/7A04Al composite

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Science China(Technological Sciences) 2024年第8期67卷 2485-2492页

作者： CHEN YunTao ma GuoNan ZHU ShiZe WANG Dong XIAO BoLv ma ZongYi Shi-Changxu Innovation Center for Advanced materials Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China Centre of Excellence for Advanced materials Dongguan 523808China

Aging treatments are the key process to obtain satisfactory strength for 7xxxAl alloys and their composites. However, traditional single-stage(SS) aging is time-consuming to reach a peak strength condition. In this study, an efficient 120℃ + 160℃ two-stage(TS) aging treatment was proposed on a B_4C/7A04Al composite fabricated via powder metallurgy(Pm) technology, which could acquire similar peak-aging strength but only took about 15% of the time compared to traditional 120℃ SS aging. The evolution of precipitation during the TS aging was investigated, as well as those of the 7A04Al alloys for comparison. In the second stage aging process, the higher aging temperature accelerated the nucleation of η′ phases inside the grains and thus increased the density of precipitates. moreover, the short aging time limited the coarsening of precipitates and the broadening of precipitatefree zones. The above factors were beneficial for quickly obtaining satisfactory precipitation strengthening effects. The B_4C/7A04Al composite exhibited slower aging kinetics than the 7A04Al alloy in the TS aging. mg elements consumption by the chemical reaction between B impurities introduced by B_4C particles and the Al matrix was considered to potentially retard the aging kinetics of the B_4C/7A04Al composite. Nevertheless, the precipitation sequence was not affected.

关键词： aluminum matrix composites aging treatment powder metallurgy mechanical properties precipitation

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Transient Response and Ionic Dynamics in Organic Electrochemical Transistors

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Nano-micro Letters 2024年第11期16卷 191-223页

作者： Chao Zhao Jintao Yang Wei ma State Key Laboratory for mechanical Behavior of materials Xi’an Jiaotong UniversityXi′an 710049People’s Republic of China

The rapid development of organic electrochemical transistors(OECTs)has ushered in a new era in organic electronics,distinguishing itself through its application in a variety of domains,from high-speed logic circuits to sensitive biosensors,and neuromorphic devices like artificial synapses and organic electrochemical random-access *** recent strides in enhancing OECT performance,driven by the demand for superior transient response capabilities,a comprehensive understanding of the complex interplay between charge and ion transport,alongside electron–ion interactions,as well as the optimization strategies,remains *** review aims to bridge this gap by providing a systematic overview on the fundamental working principles of OECT transient responses,emphasizing advancements in device physics and optimization *** review the critical aspect of transient ion dynamics in both volatile and non-volatile applications,as well as the impact of materials,morphology,device structure strategies on optimizing transient *** paper not only offers a detailed overview of the current state of the art,but also identifies promising avenues for future research,aiming to drive future performance advancements in diversified applications.

关键词： Organic electrochemical transistors Transient response Ion dynamics Electronic dynamics Volatility and non-volatility

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掺铒CaF_(2)、SrF_(2)、PbF_(2)晶体的光谱性能与团簇结构研究

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无机材料学报 2024年第3期39卷 330-336,I0009,I0010页

作者： TAm YU Puy mang 徐愉高泉浩周海琼张振尹浩李真吕启涛陈振强马凤凯苏良碧暨南大学光电工程系广东省晶体材料与激光技术工程研究中心广州510632 广东省光纤传感与通信重点实验室广州510632 暨南大学分析测试中心广州510632 中国科学院上海硅酸盐研究所高性能陶瓷和超微结构国家重点实验室上海201899 广东省工业超短脉冲激光技术重点实验室深圳518055

3μm波段中红外激光处于大气传输窗口,又可以作为基础光源,是激光技术研究的前沿。目前,铒离子激活的激光晶体材料是产生3μm中红外激光的重要途径之一。然而,Er3+离子4I11/2激光上能级荧光寿命较短,下能级4I13/2的寿命较长,难以实现粒... 详细信息

3μm波段中红外激光处于大气传输窗口,又可以作为基础光源,是激光技术研究的前沿。目前,铒离子激活的激光晶体材料是产生3μm中红外激光的重要途径之一。然而,Er3+离子4I11/2激光上能级荧光寿命较短,下能级4I13/2的寿命较长,难以实现粒子数反转,导致自终止现象。为了解决这一难题,往往需要高浓度掺杂,通过能量传递降低4I13/2能级的寿命。然而高浓度掺杂又会造成晶体热性能变差,限制了掺Er3+激光晶体效率和功率。三阶铒离子容易在氟化物晶体中形成团簇,导致稀土离子间距缩短,即使在低掺杂浓度下稀土离子之间的能量传递作用仍较为显著。同时,低浓度掺杂还可以减轻激光运转下晶体的热堆积效应。掺铒氟化物晶体已成为一类重要的高功率、高效率中红外激光材料。然而,掺铒氟化物晶体的光谱性能与铒离子团簇结构之间的相互联系尚不明确,制约了掺铒氟化物晶体光谱和激光性能的进一步发展。本文采用第一性原理计算模拟了铒离子在CaF_(2)、SrF_(2)和PbF_(2)晶体中的团簇结构。结果显示,铒离子团簇结构随基质晶体变化逐渐演变。结合模拟计算和实验表征定性揭示了不同晶体离子团簇与光谱性能的联系,为掺铒氟化物中红外激光晶体材料的调控与设计提供参考。

关键词：铒掺杂氟化物晶体铒离子团簇光谱性能

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A new method for evaluating wedges of steel plates and strips

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Journal of Iron and Steel Research International 2024年第7期31卷 1719-1735页

作者： Xiao-bao ma Xiao-xin ma Tao Wang Zhong-kai Ren Yu-cheng Ren College of mechanical and Vehicle Engineering Taiyuan University of TechnologyTaiyuan 030024ShanxiChina ministry of Education Engineering Research Center of Advanced metal Composite Forming Technology and Equipment Taiyuan University of TechnologyTaiyuan 030024ShanxiChina National Key Laboratory of metal Forming Technology and Heavy Equipment Taiyuan University of TechnologyTaiyuan 030024ShanxiChina China National Heavy machinery Research Institute Co. Ltd.Xi'an 710018ShaanxiChina Faculty of mechanical Engineering Hebei University of ArchitectureZhangjiakou 075000HebeiChina

To overcome the inaccuracy problem of the traditional wedge evaluation of steel plates and strips caused by the ran-domness of the thicknesses of two local points and improve the reliability of the wedge index,the double-centroid method for the wedge evaluation was proposed,and a model based on the centroid theory was ***,an integral model for the discrete thickness values of the cross-section profiles was *** discussion focused on the distinct characteristics of the two-point method,asymmetric method,and double-centroid method in evaluating the asymmetric distribution of *** three methods were employed to evaluate the wedge values of both the theoretical and measured cross-sections of steel plates and strips,and the accuracies of three wedge evaluation models were analyzed and *** results showed that the double-centroid method objectively reflects the degree and variation characteristics of the wedge values of the cross-sections of steel plates and strips,and this method is feasible,reliable,and outstanding.

关键词： Steel plate and strip Wedge Two-point method Double-centroid method Reliability

Achieving superior performance in powder-metallurgy near-βtitanium alloy by combining hot rolling and rapid heat treatment followed by aging

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Journal of materials Science & Technology 2024年第4期171卷 24-36页

作者： Fucheng Qiu Tuo Cheng Yuchao Song Orest m.Ivasishin Dmytro G.Savvakin Guangyu ma Huiyan Xu College of materials Science and Engineering Jilin UniversityChangchun 130025China International Center of Future Science Jilin UniversityChangchun 130025China G.V.Kurdyumov Institute for metal Physics KyivUkraine College of Biological and Agricultural Jilin UniversityChangchun 130025China

Heat treatment plays an important role in tailoring the mechanical properties of powder-metallurgy(Pm)titanium ***,only limited work about the rapid heat treatment(RHT)of Pm titanium alloys has been *** this work,RHT was applied to Pm Ti-5Al-5mo-5V-1Cr-1Fe alloy after hot rolling to study the evolution of its mechanical properties and the influence of residual pores on its *** hot rolling and annealing,a fine and uniformα+βstructure with few residual pores is *** RHT,the primaryαdissolves gradually and completes in theβregion,and theβgrains then grow,resulting in the continuous decrease in elongation after ***,the tensile strength first increases and then decreases with increasing RHT temperature,owing to the increase in volume fraction of secondaryαinα+βregion and theβgrain growth inβ*** contrast to the RHT of cast-and-wrought titanium,the negative influence of residual pores lowers the RHT temperature for obtaining the highest tensile strength to a temperature below theβ-transus *** the negative influence of the residual pores,retained primaryαand fineβgrains with fine secondaryαinside contribute to achieving a good strength/ductility balance(1570 mPa and 6.1%,respectively).Addi-tionally,although at higher cycles to failure,the negative influence of residual pores increases as it affects the crack initiation zone at the subsurface,the good resistance of secondaryαto fatigue crack propaga-tion still enhances the fatigue strength considerably(about 300 mPa).This work suggests a cost-effective strategy to produce titanium alloys with high performance.

关键词： Rapid heat treatment Powder metallurgy mechanical properties Near-βtitanium Residual pores

Impact of ozonation on disinfection byproducts formation from phenylalanine during chlorination

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Journal of Environmental Sciences 2024年第10期144卷 199-211页

作者： Sinong Huang Hongwei Liu Kunming Wei Liang Zhang Xiaoyan ma Qingsong Li Xueyan Li Andrea m.Dietrich College of Civil Engineering Zhejiang Key Laboratory of Civil Engineering Structures&Disaster Prevention and Mitigation TechnologyZhejiang University of TechnologyHangzhou 310023China Water Resources and Environmental Institute Xiamen University of TechnologyXiamen 361005China School of Environmental Science and Engineering Suzhou University of Science and TechnologySuzhou 215009China Civil and Environmental Engineering Virginia Polytechnic Institute and State UniversityBlackburgVA 24061USA

As a strong oxidizing agent,ozone is used in some water treatment facilities for disinfection,taste and odor control,and removal of organic ***(Phe)was used as the target amino acid to comprehensively investigate variability of disinfection byproducts(DBPs)formation during chlorine disinfection and residual chlorine conditions subsequent to *** results showed that subsequent to ozonation,the typical regulated and unregulated DBPs formation potential(DBPsFP),including trichloromethane(TCm),dichloroacetonitrile(DCAN),chloral hydrate(CH),dichloroacetic acid(DCAA),trichloroacetic acid(TCAA),and trichloroacetamide(TCAcAm)increased substantially,by 2.4,3.3,5.6,1.2,2.5,and 6.0 times,respectively,compared with only *** also significantly increased the DBPs yield under a 2 day simulated residual chlorine condition that mimicked the water distribution *** formations followed pseudo first order *** formation rates of DBPs in the first 6 hr were higher for TCm(0.214 hr^(−1)),DCAN(0.244 hr^(−1)),CH(0.105 hr^(−1)),TCAcAm(0.234 hr^(−1)),DCAA(0.375 hr^(−1))and TCAA(0.190 hr^(−1))than *** peak DBPsFP of TCm,DCAN,CH,TCAcAm,DCAA,and TCAA were obtained when that ozonation time was set at 5–15 *** times>30 min increased the mineralization of Phe and decreased the formation of DBPs upon *** bromine ion(Br^(−1))concentration increased production of bromine-DBPs and decreased chlorine-DBPs formation by 59.3%–92.2%.Higher ozone dosages and slight alkaline favored to reduce DBP formation and *** ozonation conditions should be optimized for all application purposes including DBPs reduction.

关键词： Ozone Amino acids Chlorination Disinfection by-products