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A Lightweight Multiscale Feature Fusion Network for Solar Cell Defect Detection

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Computers, Materials & Continua 2025年第1期82卷 521-542页

作者： Xiaoyun Chen Lanyao zhang Xiaoling Chen Yigang Cen Linna zhang Fugui zhang School of Mechanical Engineering Guizhou UniversityGuiyang550025China School of Computer Science and Technology Beijing Jiaotong UniversityBeijing100044China

Solar cell defect detection is crucial for quality inspection in photovoltaic power generation *** the production process,defect samples occur infrequently and exhibit random shapes and sizes,which makes it challenging to collect defective ***,the complex surface background of polysilicon cell wafers complicates the accurate identification and localization of defective *** paper proposes a novel Lightweight Multiscale Feature Fusion network(LMFF)to address these *** network comprises a feature extraction network,a multi-scale feature fusion module(MFF),and a segmentation ***,a feature extraction network is proposed to obtain multi-scale feature outputs,and a multi-scale feature fusion module(MFF)is used to fuse multi-scale feature information *** order to capture finer-grained multi-scale information from the fusion features,we propose a multi-scale attention module(MSA)in the segmentation network to enhance the network’s ability for small target ***,depthwise separable convolutions are introduced to construct depthwise separable residual blocks(DSR)to reduce the model’s parameter ***,to validate the proposed method’s defect segmentation and localization performance,we constructed three solar cell defect detection datasets:SolarCells,SolarCells-S,and *** and SolarCells-S are monocrystalline silicon datasets,and PVEL-S is a polycrystalline silicon *** results show that the IOU of our method on these three datasets can reach 68.5%,51.0%,and 92.7%,respectively,and the F1-Score can reach 81.3%,67.5%,and 96.2%,respectively,which surpasses other commonly usedmethods and verifies the effectiveness of our LMFF network.

关键词： Defect segmentation multi-scale feature fusion multi-scale attention depthwise separable residual block

Bilevel Optimal Scheduling of Island Integrated Energy System Considering Multifactor Pricing

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Energy Engineering 2025年第1期122卷 349-378页

作者： Xin zhang Mingming Yao Daiwen He Jihong zhang Peihong Yang Xiaoming zhang School of Automation and Electrical Engineering Inner Mongolia University of Science and TechnologyBaotou014010China

In this paper,a bilevel optimization model of an integrated energy operator(IEO)–load aggregator(LA)is constructed to address the coordinate optimization challenge of multiple stakeholder island integrated energy system(IIES).The upper level represents the integrated energy operator,and the lower level is the electricity-heatgas load *** to the benefit conflict between the upper and lower levels of the IIES,a dynamic pricing mechanism for coordinating the interests of the upper and lower levels is proposed,combined with factors such as the carbon emissions of the IIES,as well as the lower load interruption *** price of selling energy can be dynamically adjusted to the lower LA in the mechanism,according to the information on carbon emissions and load interruption *** benefits and win-win situations are achieved between the upper and lower ***,CPLEX is used to iteratively solve the bilevel optimization *** optimal solution is selected according to the joint optimal discrimination *** results indicate that the sourceload coordinate operation can reduce the upper and lower operation *** the proposed pricingmechanism,the carbon emissions and load interruption power of IEO-LA are reduced by 9.78%and 70.19%,respectively,and the capture power of the carbon capture equipment is improved by 36.24%.The validity of the proposed model and method is verified.

关键词： Bilevel optimal scheduling load aggregator integrated energy operator carbon emission dynamic pricing mechanism

Numerical investigation on the drag reduction properties of a suction controlled high-rise building

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2010年第7期11卷 477-487页

作者： chao-rong ZHENG Yao-chun zhang School of Civil Engineering Harbin Institute of Technology Harbin 150090 China

To reduce the wind-induced drag and improve the wind-resistance performance of a high-rise building, steady suction control is introduced into the building structure. Based on validation of the numerical methods by experiment with suction control over the flow separation of a 3D backward-facing step, the Reynolds stress equation model is used to investigate the drag reduction (DR) properties of a high-rise building whose side faces are controlled by all-height suction. Effects of the orifice geometrical parameters and suction flux parameters on the DR and the separation control are analyzed, and the detailed flow fields are shown to clarify the mechanism of suction control. The results indicate that suction control is very effective in reducing the wind loads on the high-rise building model, and only the dimensionless suction flux dominates. Lastly, the power consumed and the counterforce induced by suction are discussed, the suction models become the "zero-drag" model under certain suction angles.

关键词： High-rise building Numerical simulation Suction control Drag reduction (DR) Power Mechanism analysis

核糖体蛋白RpsL调控须糖多孢菌中丁烯基多杀菌素的合成

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农业生物技术学报 2025年第1期33卷 179-189页

作者：苏畅王靖楠郭超徐周钦李春张根林王超国家粮食和物资储备局科学研究院石河子大学化学化工学院北京理工大学化学与化工学院清华大学化学工程系

须糖多孢菌（Saccharopolyspora pogona）发酵产生的次级代谢物丁烯基多杀菌素（butenyl-spinosyn）是一种绿色生物杀虫剂。但由于发酵产量低不能满足工业生产需求，选育高生产性能的菌株是实现工业化生产的关键。本研究以须糖多孢菌为... 详细信息

须糖多孢菌（Saccharopolyspora pogona）发酵产生的次级代谢物丁烯基多杀菌素（butenyl-spinosyn）是一种绿色生物杀虫剂。但由于发酵产量低不能满足工业生产需求，选育高生产性能的菌株是实现工业化生产的关键。本研究以须糖多孢菌为底盘细胞分别构建了核糖体蛋白S12（ribosomal protein S12,RpsL）及RpsL突变体的基因过表达工程菌株Q8（rpsl）、W43(rpslK88R)、W44(rpslR86P)、W45(rpslK88E)和W46(rpslK43N)，通过摇瓶发酵验证及RpsL蛋白结构比对，分析RpsL对丁烯基多杀菌素合成的影响。结果表明，工程菌株Q8、W43、W44、W45和W46分别使丁烯基多杀菌素的产量提高至275%、146%、111%、122%和降低至75%。进一步研究表明，rpsl和rpslK88R基因的过表达提高了合成途径基因的转录水平，从而使丁烯基多杀菌素的产量显著提高。对二者进行同源建模发现，RpsLK88R突变体结构与RpsL相比，其侧链发生较大的偏转，影响了与m RNA的结合作用进而降低了核糖体翻译效率，因此其提产效果略低于RpsL。本研究为蛋白质工程改造RpsL提高丁烯基多杀菌素的产量提供参考。

关键词：丁烯基多杀菌素核糖体蛋白须糖多孢菌基因突变

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黄血盐钠结块现象分析及解决措施

精细与专用化学品 2014年第8期22卷 25-26页

作者：张东卫李会卿张朝纯王虹河北诚信有限责任公司河北省石家庄051130

分析了黄血盐钠结块的原因,主要是由于烘干过程控制不当造成干湿不均匀,在存放过程中产生二次结晶现象。为了解决黄血盐钠的结块问题,在结晶工艺中,应控制结晶温度,使结晶颗粒大小均匀;在烘干过程中,应控制烘干温度和进料速度,使成品干... 详细信息

分析了黄血盐钠结块的原因,主要是由于烘干过程控制不当造成干湿不均匀,在存放过程中产生二次结晶现象。为了解决黄血盐钠的结块问题,在结晶工艺中,应控制结晶温度,使结晶颗粒大小均匀;在烘干过程中,应控制烘干温度和进料速度,使成品干湿均匀,游离水分在0~0.5%。

关键词：黄血盐钠二次结晶干湿不均结晶温度

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软法视野下粤港澳大湾区合作治理机制研究

特区经济 2018年第3期 22-25页

作者：陈洪超张春杨王琳广东理工学院

粤港澳大湾区的建设需要相应的法律制度安排,在粤港澳大湾区硬法建构无法短时间内完成的前提下,以软法为视角,着力构建软硬法协同化发展格局,健全湾区软法治理框架,发挥软法多元治理的＂功能约束＂,丰富区域治理手段,或是可行之举。

关键词：软法粤港澳大湾区合作与治理

Structural and microwave absorption properties of CoFe_(2)O_(4)/residual carbon composites

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International Journal of Minerals,Metallurgy and Materials 2025年第1期32卷 221-232页

作者： Yuanchun zhang Shengtao Gao Xingzhao zhang Dacheng Ma Chuanlei Zhu Jun He Joint National-Local Engineering Research Centre for Safe and Precise Coal Mining Anhui University of Science and TechnologyHuainan 232001China School of Chemical and Blasting Engineering Anhui University of Science and TechnologyHuainan 232001China

Electromagnetic interference,which necessitates the rapid advancement of substances with exceptional capabilities for bsorbing electromagnetic waves,is of urgent concern in contemporary *** this work,CoFe_(2)O_(4)/residual carbon from coal gasification fine slag(CFO/RC)composites were created using a novel hydrothermal *** mechanisms for microwave absorption,including conductive loss,natural resonance,interfacial dipole polarization,and magnetic flux loss,are involved in these ***,compared with pure residual carbon materials,this composite offers superior capabilities in microwave *** 7.76GHz,the CFO/RC-2 composite achieves an impressive minimum reflection loss(RL_(min))of-43.99 dB with a thickness of 2.44 ***,CFO/RC-3 demonstrates an effective absorption bandwidth(EAB)of up to 4.16 GHz,accompanied by a thickness of *** study revealed the remarkable capability of the composite to diminish electromagnetic waves,providing a new generation method for microwave absorbing materials of superior quality.

关键词： coal gasification slag residual carbon hydrothermal method microwave absorption CoFe_(2)O_(4)

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高层建筑结构设计探讨

工程建设与设计 2024年第5期 26-28页

作者：杜林晋张鹏飞肖婷张春潮中铁西南科学研究院有限公司成都611731

介绍高层建筑中使用的新型墙体材料、保温材料等新型建筑材料,并分析新型建材在高层建筑中的发展优势,介绍混凝土结构、钢结构和钢混组合结构3种建筑结构形式并对它们的经济效益进行探讨,最后分析介绍方形桩地基系统的应用。

关键词：新型建材建筑结构设计结构形式地基

DDoS Attack Autonomous Detection Model Based on Multi-Strategy Integrate Zebra Optimization Algorithm

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Computers, Materials & Continua 2025年第1期82卷 645-674页

作者： chunhui Li Xiaoying Wang Qingjie zhang Jiaye Liang Aijing zhang School of Information Engineering Institute of Disaster PreventionLangfang065201China Langfang Key Laboratory of Network Emergency Protection and Network Security Langfang065201China

Previous studies have shown that deep learning is very effective in detecting known ***,when facing unknown attacks,models such as Deep Neural Networks(DNN)combined with Long Short-Term Memory(LSTM),Convolutional Neural Networks(CNN)combined with LSTM,and so on are built by simple stacking,which has the problems of feature loss,low efficiency,and low ***,this paper proposes an autonomous detectionmodel for Distributed Denial of Service attacks,Multi-Scale Convolutional Neural Network-Bidirectional Gated Recurrent Units-Single Headed Attention(MSCNN-BiGRU-SHA),which is based on a Multistrategy Integrated Zebra Optimization Algorithm(MI-ZOA).The model undergoes training and testing with the CICDDoS2019 dataset,and its performance is evaluated on a new GINKS2023 *** hyperparameters for Conv_filter and GRU_unit are optimized using the Multi-strategy Integrated Zebra Optimization Algorithm(MIZOA).The experimental results show that the test accuracy of the MSCNN-BiGRU-SHA model based on the MIZOA proposed in this paper is as high as 0.9971 in the CICDDoS 2019 *** evaluation accuracy of the new dataset GINKS2023 created in this paper is *** to the MSCNN-BiGRU-SHA model based on the Zebra Optimization Algorithm(ZOA),the detection accuracy on the GINKS2023 dataset has improved by 5.81%,precisionhas increasedby 1.35%,the recallhas improvedby 9%,and theF1scorehas increasedby 5.55%.Compared to the MSCNN-BiGRU-SHA models developed using Grid Search,Random Search,and Bayesian Optimization,the MSCNN-BiGRU-SHA model optimized with the MI-ZOA exhibits better performance in terms of accuracy,precision,recall,and F1 score.

关键词： Distributed denial of service attack intrusion detection deep learning zebra optimization algorithm multi-strategy integrated zebra optimization algorithm