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A Novel Foreign Object Detection Method in Transmission Lines Based on Improved YOLOv8n

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Computers, Materials & Continua 2024年第4期79卷 1263-1279页

作者： Yakui liu Xing Jiang Ruikang Xu yihao Cui Chenhui Yu Jingqi Yang Jishuai Zhou School of Mechanical and Automotive Engineering Qingdao University of TechnologyQingdao266520China State Key Laboratory of Electrical Insulation and Power Equipment Xi’an Jiaotong UniversityXi’an710049China Key Lab of Industrial Fluid Energy Conservation and Pollution Control Qingdao University of TechnologyMinistry of EducationQingdao266520China

The rapid pace of urban development has resulted in the widespread presence of construction equipment andincreasingly complex conditions in transmission corridors. These conditions pose a serious threat to the safeoperation of the power grid.Machine vision technology, particularly object recognition technology, has beenwidelyemployed to identify foreign objects in transmission line images. Despite its wide application, the technique faceslimitations due to the complex environmental background and other auxiliary factors. To address these challenges,this study introduces an improved YOLOv8n. The traditional stepwise convolution and pooling layers are replacedwith a spatial-depth convolution (SPD-Conv) module, aiming to improve the algorithm’s efficacy in recognizinglow-resolution and small-size objects. The algorithm’s feature extraction network is improved by using a LargeSelective Kernel (LSK) attention mechanism, which enhances the ability to extract relevant features. Additionally,the SIoU Loss function is used instead of the Complete Intersection over Union (CIoU) Loss to facilitate fasterconvergence of the algorithm. Through experimental verification, the improved YOLOv8n model achieves adetection accuracy of 88.8% on the test set. The recognition accuracy of cranes is improved by 2.9%, which isa significant enhancement compared to the unimproved algorithm. This improvement effectively enhances theaccuracy of recognizing foreign objects on transmission lines and proves the effectiveness of the new algorithm.

关键词： YOLOv8n data enhancement attention mechanism SPD-Conv Smoothed Intersection over Union(SIoU)Loss

Digital twin modeling and controlling of optical power evolution enabling autonomous-driving optical networks:a Bayesian approach

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Advanced Photonics 2024年第2期6卷 69-80页

作者： Xiaomin liu yihao Zhang Yuli Chen Yichen liu Meng Cai Qizhi Qiu Mengfan Fu Lilin Yi Weisheng Hu Qunbi Zhuge Shanghai Jiao Tong University State Key Laboratory of Advanced Optical Communication Systems and NetworksDepartment of Electronic EngineeringShanghaiChina

Optical networks are evolving toward ultrawide bandwidth and autonomous operation.In this scenario,it is crucial to accurately model and control optical power evolutions(OPEs)through optical amplifiers(OAs),as they directly affect the signal-to-noise ratio and fiber nonlinearities.However,a fundamental contradiction arises between the complex physical phenomena in optical transmission and the required precision in network control.Traditional theoretical methods underperform due to ideal assumptions,while data-driven approaches entail exorbitant costs associated with acquiring massive amounts of data to achieve the desired level of accuracy.In this work,we propose a Bayesian inference framework(BIF)to construct the digital twin of OAs and control OPE in a data-efficient manner.Only the informative data are collected to balance the exploration and exploitation of the data space,thus enabling efficient autonomous-driving optical networks(ADONs).Simulations and experiments demonstrate that the BIF can reduce the data size for modeling erbium-doped fiber amplifiers by 80%and Raman amplifiers by 60%.Within 30 iterations,the optimal controlling performance can be achieved to realize target signal/gain profiles in links with different types of OAs.The results show that the BIF paves the way to accurately model and control OPE for future ADONs.

关键词： optical fiber communications digital twin Bayesian inference optical amplifiers autonomous-driving optical networks

Reconfigurable logic and in-sensor encryption operations in an asymmetrically tunable van der Waals heterostructure

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Nano Research 2024年第4期17卷 3113-3119页

作者： Fan Gong Wenjie Deng Yi Wu Fengming liu yihao Guo Zelin Che Jingjie Li Jingzhen Li Yang Chai Yongzhe Zhang Key Laboratory of Optoelectronics Technology of Education Ministry of China Faculty of Information TechnologyBeijing University of TechnologyBeijing 100124China Key Laboratory of Advanced Functional Materials Ministry of EducationFaculty of Materials and ManufacturingBeijing University of TechnologyBeijing 100124China Department of Applied Physics Hong Kong Polytechnic UniversityKowloonHong KongChina

Reconfigurable devices can be used to achieve multiple logic operation and intelligent optical sensing with low power consumption,which is promising candidates for new generation electronic and optoelectronic integrated circuits.However,the versatility is still limited and need to be extended by the device architectures design.Here,we report an asymmetrically gate two-dimensional(2D)van der Waals heterostructure with hybrid dielectric layer SiO_(2)/hexagonal boron nitride(h-BN),which enable rich function including reconfigurable logic operation and in-sensor information encryption enabled by both volatile and non-volatile optoelectrical modulation.When the partial gate is grounded,the non-volatile light assisted electrostatic doping endowed partially reconfigurable doping between n-type and p-type,which allow the switching of logic XOR and not implication(NIMP).When the global gate is grounded,additionally taking the optical signal as another input signal,logic AND and OR is realized by combined regulation of the light and localized gate voltage.Depending on the high on/off current ratio approaching 105 and reliable&switchable logic gate,in-sensor information encryption and decryption is demonstrated by manipulating the logic output.Hence,these results provide strong extension for current reconfigurable electronic and optoelectronic devices.

关键词： in-sensor encryption reconfigurable logic van der Waals heterostructure asymmetrical tunable architecture

Manipulating Na occupation and constructing protective film of P2-Na_(0.67)Ni_(0.33)Mn_(0.67)O_(2) as long-term cycle stability cathode for sodium-ion batteries

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Journal of Energy Chemistry 2024年第1期88卷 603-611,I0013页

作者： Yiran Sun Pengfei Zhou Siyu liu Zhongjun Zhao yihao Pan Xiangyan Shen Xiaozhong Wu Jinping Zhao Junying Weng Jin Zhou School of Chemistry and Chemical Engineering Shandong University of TechnologyZibo 0255000ShandongChina School of Materials Science and Engineering Shandong University of TechnologyZibo 255049ShandongChina

P2-Na_(0.67)Ni_(0.33)Mn_(0.67)O_(2)(NNMO)is promising cathode material for sodium-ion batteries(SIBs)due to its high specific capacity and fast Na+diffusion rate.Nonetheless,the irreversible P2-O_(2)phase transformation,Na+/vacancy ordering,and transition metal(TM)dissolution seriously damage its cycling stability and restrict its commercialization process.Herein,Na occupation manipulation and interface stabilization are proposed to strengthen the phase structure of NNMO by synergistic Zn/Ti co-doping and introducing lithium difluorophosp(LiPO_(2)F_(2))film-forming electrolyte additive.The Zn/Ti co-doping regulates the occupancy ratio of Nae/Nafat Na sites and disorganizes the Na+/vacancy ordering,resulting in a faster Na+diffusion kinetics and reversible P2-Z phase transition for P2-Na_(0.67)Ni_(0.28)Zn_(0.05)Mn_(0.62)Ti_(0.05)O_(2)(NNZMTO).Meanwhile,the LiPO_(2)F_(2)additive can form homogeneous and ultrathin cathode-electrolyte interphase(CEI)on NNZMTO surface,which can stabilize the NNZMTO-electrolyte interface to prevent TM dissolution,surface structure transformation,and micro-crack generation.Combination studies of in situ and ex situ characterizations and theoretical calculations were used to elucidate the storage mechanism of NNZMTO with Li PO_(2)F_(2)additive.As a result,the NNZMTO displays outstanding capacity retention of 94.44%after 500 cycles at 1C with 0.3 wt%Li PO_(2)F_(2),excellent rate performance of 92.5 mA h g^(-1)at 8C with 0.1 wt%Li PO_(2)F_(2),and remarkable full cell capability.This work highlights the important role of manipulating Na occupation and constructing protective film in the design of layered materials,which provides a promising direction for developing high-performance cathodes for SIBs.

关键词： Layered cathode Zn/Ti co-doping Na occupation Electrolyte additive Sodium-ion batteries

Real-time Rescue Target Detection Based on UAV Imagery for Flood Emergency Response

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Journal of Geodesy and Geoinformation Science 2024年第1期7卷 74-89页

作者： ZHAO Bofei SUI Haigang ZHU yihao liu Chang WANG Wentao State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhan 430079China

Timely acquisition of rescue target information is critical for emergency response after a flood disaster.Unmanned Aerial Vehicles(UAVs)equipped with remote sensing capabilities offer distinct advantages,including high-resolution imagery and exceptional mobility,making them well suited for monitoring flood extent and identifying rescue targets during floods.However,there are some challenges in interpreting rescue information in real time from flood images captured by UAVs,such as the complexity of the scenarios of UAV images,the lack of flood rescue target detection datasets and the limited real-time processing capabilities of the airborne on-board platform.Thus,we propose a real-time rescue target detection method for UAVs that is capable of efficiently delineating flood extent and identifying rescue targets(i.e.,pedestrians and vehicles trapped by floods).The proposed method achieves real-time rescue information extraction for UAV platforms by lightweight processing and fusion of flood extent extraction model and target detection model.The flood inundation range is extracted by the proposed method in real time and detects targets such as people and vehicles to be rescued based on this layer.Our experimental results demonstrate that the Intersection over Union(IoU)for flood water extraction reaches an impressive 80%,and the IoU for real-time flood water extraction stands at a commendable 76.4%.The information on flood stricken targets extracted by this method in real time can be used for flood emergency rescue.

关键词： UAV ﬂood extraction target rescue detection real time

Chitin oligosaccharides alleviate atherosclerosis progress in ApoE;mice by regulating lipid metabolism and inhibiting inflammation

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Food Science and Human Wellness 2022年第4期11卷 999-1009页

作者： Hongmin Zhen Qiaojuan Yan yihao liu Yanxiao Li Shaoqing Yang Zhengqiang Jiang Key Laboratory of Food Bioengineering(China National Light Industry) College of Food Science&Nutritional EngineeringChina Agricultural UniversityBeijing 100083China Beijing Advanced Innovation Center for Food Nutrition and Human Health College of EngineeringChina Agricultural UniversityBeijing 100083China

Atherosclerosis is driven both by hyperlipidemia and inflammation. Chitin oligosaccharides(NACOS) have shown pharmacological effects on multiple diseases via hypolipidemic and/or anti-inflammatory activities. The present study aims to evaluate whether NACOS treatment can prevent atherosclerosis induced by a highfat-diet(HFD) in Apolipoprotein E-knockout(Apo E;) mice. Results showed that 300 and 900 mg/kg b.w./day NACOS supplementation for 14 weeks significantly decreased atherosclerotic lesions up to 45% and 67% in compared with the HFD(P < 0.05), as measured in the valve area of the aortic root. Further, NACOS supplementation significantly reduced the serum hyperlipidemia and circulating proinflammatory cytokines including interleukin-1β, interleukin-6, monocyte chemoattractant protein-1 and tumor necrosis factor-α. NACOS decreased the hepatic Hmgcr to reduce cholesterol synthesis, activated the genes involved in reverse cholesterol transport to enhance cholesterol efflux and excretion, and reduced the intestinal Npc1L1 to lower cholesterol absorption. Additionally, NACOS enhanced cecum short chain fatty acids production and intestinal integrity. Thus, NACOS supplementation ameliorated atherosclerosis via altering lipid metabolism and reducing inflammation. These findings indicate that NACOS may be a potential functional food material for attenuating atherosclerosis development.

关键词： Chitin oligosaccharides Atherosclerosis Lipid metabolism Inflammation Apo E-/-mice

Bio-inspired, bio-degradable adenosine 5′ -diphosphate-modified hyaluronic acid coordinated hydrophobic undecanal-modified chitosan for hemostasis and wound healing

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Bioactive Materials 2022年第11期7卷 162-177页

作者： yihao liu Haoyi Niu Chengwei Wang Xiaoxiao Yang Wentao Li Yuxin Zhang Xiaojun Ma Yuanjing Xu Pengfei Zheng Jinwu Wang Kerong Dai Shanghai Key Laboratory of Orthopedic Implant Department of Orthopedic SurgeryShanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineNo.639 Zhizaoju RdShanghai200011China Department of Orthopaedic Surgery Children’s Hospital of Nanjing Medical UniversityNo.72 Guangzhou RdNanjing210008China Department of Rehabilitation Huashan HospitalFudan UniversityNo.12 Middle Urumqi RdShanghai200040China Med-X Research Institute School of Biomedical EngineeringShanghai Jiao Tong UniversityNo.1956 Huashan RdShanghai200030China Department of Orthopedics Shanghai General HospitalShanghai Jiao Tong University School of MedicineNo.85 Wujin RdShanghai200080China

Uncontrolled hemorrhage and wound infection are crucial causes of trauma-associated death in both the military and the clinic. Therefore, developing an efficient and rapid hemostatic method with biocompatibility, easy degradation, and wound healing is of great importance and desirability. Inspired by spontaneous blood cell plug formation in the hemostasis process, an adenosine 5′-diphosphate modified pro-coagulation hyaluronic acid (HA-ADP) coordinated with enhanced antibacterial activity of undecanal-modified chitosan (UCS) was fabricated through physical electrostatic cross-linking and freeze-drying. The as-prepared hydrogel sponges showed a porous structure suitable for blood cell adhesion. In particular, the hydrogel exhibited excellent antibacterial ability and promoted the adhesion of platelets and red blood cells, thus inducing a prominent pro-coagulation ability via platelet activation, which exhibits a shorter hemostasis time (58.94% of control) in vitro. Compared with commercially available CELOX and gelatin sponge (GS), HA-ADP/UCS accelerates hemostasis and reduces blood loss in both rat tail amputation and rat artery injury models. Furthermore, all the samples exhibited su-perior cytocompatibility and biodegradability. Due to these performances, HA-ADP/UCS promoted full-thickness skin defect healing significantly in vivo. All the properties of HA-ADP/UCS suggest that it has great potential for translation as a clinical application material for hemostatic and wound healing.

关键词： Hemostasis Antibacterial Wound healing Hyaluronic acid Chitosan

The prospects for bioprinting tumor models:recent advances in their applications

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Bio-Design and Manufacturing 2023年第6期6卷 661-675页

作者： Changru Zhang Xiaoqin Qiu Yu Dai Weiqing Kong yihao liu Haoyi Niu Chengwei Wang Xuelian Mi Hui Wang Ya Ren Han Yang Kerong Dai Jinwu Wang School of Rehabilitation Medicine Weifang Medical UniversityWeifang 261041China Engineering Research Center of Traditional Chinese Medicine Intelligent Rehabilitation Ministry of EducationInstitute of Rehabilitation MedicineSchool of Rehabilitation ScienceShanghai University of Traditional Chinese MedicineShanghai 200120China Shanghai Key Laboratory of Orthopaedic Implants Department of Orthopaedic SurgeryShanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghai 200011China Cancer Prevention and Treatment Institute of Chengdu Department of OncologyChengdu Fifth People’s Hospital(The Second Clinical Medical CollegeAffiliated Fifth People’s Hospital of Chengdu University of Traditional Chinese Medicine)Chengdu 611130China Department of Pancreatic Surgery West China HospitalSichuan UniversityChengdu 610041China Department of Spinal Surgery The Affiliated Hospital of Qingdao UniversityQingdao 266000China College of Medicine Southwest Jiaotong UniversityChengdu 610036China Med-X Research Institute School of Biomedical EngineeringShanghai Jiao Tong UniversityShanghai 200030China

Three-dimensional(3D)tumor models prepared from patient-derived cells have been reported to imitate some of the biological development processes of in situ tumors in vitro.These 3D tumor models share several important characteristics with their in vivo tumor counterparts.Accordingly,their applications in tumor modeling,drug screening,and precision-targeted treatment are promising.However,the establishment of tumormodels is subject to several challenges,including advancements in scale size,repeatability,structural precision in time and space,vascularization,and the tumor microenvironment.Recently,bioprinting technologies enabling the editorial arrangement of cells,factors,and materials have improved the simulation of tumormodels in vitro.Among the 3D bioprinted tumor models,the organoidmodel has been widely appreciated for its advantages of maintaining high heterogeneity and capacity for simulating the developmental process of tumor tissues.In this review,we outline approaches and potential prospects for tumor model bioprinting and discuss the existing bioprinting technologies and bioinks in tumor model construction.The multidisciplinary combination of tumor pathology,molecular biology,material science,and additive manufacturing will help overcome the barriers to tumor model construction by allowing consideration of the structural and functional characteristics of in vitro models and promoting the development of heterogeneous tumor precision therapies.

关键词： Bioprinting Tissue engineering Tumor organoid

基于注意力机制的CNN-BiLSTM复杂设备剩余寿命预测

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机械设计 2024年第S1期41卷 58-63页

作者：刘益豪石宇强西南科技大学制造科学与工程学院四川绵阳621010

在制造企业智能化进程中,预测性维护对于确保复杂设备的安全运行和可靠性至关重要,它能够有效地预防由设备故障引起的损失。作为预测性维护的核心环节,剩余使用寿命(RUL)预测需处理和利用大量工业数据以满足维护需求。文中提出了一种基... 详细信息

在制造企业智能化进程中,预测性维护对于确保复杂设备的安全运行和可靠性至关重要,它能够有效地预防由设备故障引起的损失。作为预测性维护的核心环节,剩余使用寿命(RUL)预测需处理和利用大量工业数据以满足维护需求。文中提出了一种基于注意力机制的混合深度学习剩余寿命预测方法,该方法通过卷积神经网络(CNN)提取数据的多维特征,同时采用双向长短时记忆网络(BiLSTM)有效捕获其时间序列特征。此外,该方法利用注意力机制,专注于关键信息,解决了BiLSTM中的信息丢失问题。试验结果表明:该模型在处理大量数据时能够准确且稳定预测设备的RUL,显示出高精度和优良的泛化能力。

关键词：预测性维护剩余寿命预测卷积神经网络注意力机制双向长短时记忆网络