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20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

作者： Li, Ao Guo, Shuxiang The Key Laboratory of Convergence Biomedical Engineering System and Healthcare Technology The Ministry of Industry and Information Technology Beijing Institute of Technology Beijing100081 China Southern University of Science and Technology The Department of Electronic and Electrical Engineering Guangdong Shenzhen518055 China

ISBN: (纸本)9798350320831

Underwater spherical robots are flexible and often perform tasks in narrow, dark and complex environments. The artificial lateral line system inspired by the lateral line system of fish can recognize obstacles. However, currently, the recognition of obstacles under the artificial lateral line system is mainly based on the vibration characteristics of obstacles. Based on the blank recognition of static obstacles, this paper analyzes the feasibility of recognition static obstacles. A polynomial regression model is proposed to detect static obstacles (walls) by moving robots. Finally, the effectiveness of obstacle recognition is verified by experiment and simulation. © 2023 IEEE.

关键词： Regression analysis

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Anti-resonant hollow-core optical fiber as a Fabry-Pérot interferometric high-performance cavity-enhanced photoacoustic sensing 4

Anti-resonant hollow-core optical fiber as a Fabry-Pérot in...

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4th International Computational Imaging Conference, CITA 2024

作者： Zhang, Ziyu Peng, Jiajun Lai, Yongli University of Central Lancashire Lancashire Preston United Kingdom School of Information and Electronics Beijing Institute of Technology Beijing100081 China National Engineering Research Center of Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781510688834

This paper reports for the first time a highly sensitive cavity-enhanced photoacoustic sensor constructed based on anti-resonant hollow-core fibre (AR-HCF) with acousto-optic transducer thin film, which shows great potential in photoacoustic sensing applications. In this design, the structure improves the reflectivity of the resonance cavity by introducing a resonance cavity enhancement mechanism that extends the time to capture light with a cavity fineness of 55, increasing the acoustic pressure sensitivity of the optical resonance cavity by more than an order of magnitude. The unique features of this all-fibre optic sensing architecture are its high sensitivity, low-loss characteristics, excellent stability, and the significant advantages of the sensor in terms of size and cost. This opens up new avenues for the development of photoacoustic sensing technology. © 2025 SPIE.

关键词： Fabry-Perot interferometers

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OpticE: A Coherence Theory-Based Model for Link Prediction 29

OpticE: A Coherence Theory-Based Model for Link Prediction

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29th International Conference on Computational Linguistics, COLING 2022

作者： Gui, Xiangyu Zhao, Feng Jin, Langjunqing Jin, Hai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China

Knowledge representation learning is a key step required for link prediction tasks with knowledge graphs (KGs). During the learning process, the semantics of each entity are embedded by a vector or a point in a feature space. The distance between these points is a measure of semantic similarity. However, in a KG, while two entities may have similar semantics in some relations, they have different semantics in others. It is ambiguous to assign a fixed distance to depict the variant semantic similarity of entities. To alleviate the semantic ambiguity in KGs, we design a new embedding approach named OpticE, which is derived from the well-known physical phenomenon of optical interference. It is a lightweight and relation-adaptive model based on coherence theory, in which each entity’s semantics vary automatically regarding different relations. In addition, a unique negative sampling method is proposed to combine the multimapping properties and self-adversarial learning during the training process. The experimental results obtained on practical KG benchmarks show that the OpticE model, with elegant structures, can compete with existing link prediction methods. © 2022 Proceedings - International Conference on Computational Linguistics, COLING. All rights reserved.

关键词： Semantics

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Computing Resource Allocation for Blockchain-Based Mobile Edge Computing

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Computer Modeling in engineering & sciences 2024年第7期140卷 863-885页

作者： Wanbo Zhang Yuqi Fan Jun Zhang Xu Ding Jung Yoon Kim School of Computer Science and Information Engineering Intelligent Interconnected Systems Laboratory of Anhui ProvinceHefei University of TechnologyHefei230601China Anhui Province Key Lab of Aerospace Structural Parts Forming Technology and Equipment Hefei University of TechnologyHefei230009China College of Future Industry Gachon UniversitySeongnam13120South Korea

Users and edge servers are not fullymutually trusted inmobile edge computing(MEC),and hence blockchain can be introduced to provide *** blockchain-basedMEC,each edge server functions as a node in bothMEC and blockchain,processing users’tasks and then uploading the task related information to the *** is,each edge server runs both users’offloaded tasks and blockchain tasks *** that there is a trade-off between the resource allocation for MEC and blockchain ***,the allocation of the resources of edge servers to the blockchain and theMEC is crucial for the processing delay of blockchain-based *** of the existing research tackles the problem of resource allocation in either blockchain or MEC,which leads to unfavorable performance of the blockchain-based MEC *** this paper,we study how to allocate the computing resources of edge servers to the MEC and blockchain tasks with the aimtominimize the total systemprocessing *** the problem,we propose a computing resource Allocation algorithmfor Blockchain-based MEC(ABM)which utilizes the Slater’s condition,Karush-Kuhn-Tucker(KKT)conditions,partial derivatives of the Lagrangian function and subgradient projection method to obtain the *** results show that ABM converges and effectively reduces the processing delay of blockchain-based MEC.

关键词： Mobile edge computing blockchain resource allocation

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Metal Surface Defect Detection Method Based on Improved YOLOv7 14th

Metal Surface Defect Detection Method Based on Improved YOLO...

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14th International Workshop of Advanced Manufacturing and Automation, IWAMA 2024

作者： Zhang, Yijun Chao, Yuan Pei, Ranran Tan, Chao Dai, Guohong Cao, Yuan Zhang, Min School of Mechanical Engineering Jiangsu University of Technology Jiangsu Changzhou213001 China College of Information Science and Engineering Hohai University Jiangsu Changzhou213200 China Changzhou Xiangming Intelligent Drive System Corporation Jiangsu Changzhou213000 China

ISBN: (纸本)9789819626243

In the process of industrial production, some defects will appear on the surface of metal products, which will affect the performance and life of the products, and even affect the safety and stability of equipment operation. A metal surface defect detection algorithm based on improved YOLOv7 is proposed to improve the detection accuracy of defects of different shapes and sizes, which is suitable for images collected under different working conditions. Firstly, in view of the large difference in the size of metal surface defects, the NWD is added on the basis of the CIOU loss function to improve the network's adaptability to surface defects of different sizes. Secondly, SPDConv module is added before the 20 × 20 prediction head to solve the problem of difficulty in detecting small defects and improves detection accuracy. Finally, the polarized self-attention module is integrated into the feature fusion network to strengthen the focus and utilization of key points in diverse features and improve the network's feature extraction and generalization capabilities. A dataset of various metal surface defect images is established with the images of metal parts collected on a real motor production line, combined with public datasets, to train the network for metal surface defect detection under different materials and environments. The experimental results show that the mAP (Mean Average Precision) of the proposed method is 88.3%, and the number of floating-point operations is 103.3 GFLOPs, which has better detection accuracy and efficiency than the original YOLOv7 algorithm and other mainstream algorithms. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Metal working

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Revealing the significant role of band structure asymmetry on thermoelectric bipolar conduction

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Physical Review B 2025年第4期111卷 045203-045203页

作者： Jiamin Qiu Shizhen Zhi Peng Zhao Jian Wang Xiaojing Ma Sheng Ye Chenhao Lin Xuanhe Zhang Zuoxu Wu School of Materials Science and Engineering and Institute of Materials Genome and Big Data Harbin Institute of Technology Shenzhen 518055 People's Republic of China School of Science and Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Harbin Institute of Technology Shenzhen 518055 China

Bipolar conduction, which is widely observed in various materials, plays a deleterious role in the thermoelectric properties. Traditionally, the single-band model is often applied to understand the transport properties of thermoelectric materials. However, it ignores the contribution from minority carriers and is incapable of quantifying the bipolar conduction. Herein, a general and feasible approach for calculating all the temperature-dependent transport properties based on the two-band model has been developed. In addition to the reduced electron Fermi energy and reduced band-gap energy, band structure asymmetry has been identified to play a significant role in bipolar conduction. Importantly, the effect of band structure asymmetry on bipolar conduction has been highlighted by using the Mg3Bi2−xSbx alloy as a typical example. Our results demonstrate that the band structure asymmetry is of great significance to the materials' thermoelectric performance.

关键词： Energy gap

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Toward Transparent Deep Image Aesthetics Assessment with Tag-Based Content Descriptors

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IEEE Transactions on Image Processing 2025年 34卷 3070-3085页

作者： Hou, Jingwen Lin, Weisi Fang, Yuming Wu, Haoning Chen, Chaofeng Liao, Liang Liu, Weide Nanyang Technological University School of Computer Science and Engineering Jurong West Singapore630798 Singapore Nanyang Technological University S-lab School of Computer Science and Engineering Jurong West Singapore630798 Singapore Jiangxi University of Finance and Economics School of Information Technology Nanchang330013 China Nanyang Technological University S-Lab Nanchang330013 China Connexis Singapore138632 Singapore

Deep learning approaches for Image Aesthetics Assessment (IAA) have shown promising results in recent years, but the internal mechanisms of these models remain unclear. Previous studies have demonstrated that image aesthetics can be predicted using semantic features, such as pre-trained object classification features. However, these semantic features are learned implicitly, and therefore, previous works have not elucidated what the semantic features are representing. In this work, we aim to create a more transparent deep learning framework for IAA by introducing explainable semantic features. To achieve this, we propose Tag-based Content Descriptors (TCDs), where each value in a TCD describes the relevance of an image to a human-readable tag that refers to a specific type of image content. This allows us to build IAA models from explicit descriptions of image contents. We first propose the explicit matching process to produce TCDs that adopt predefined tags to describe image contents. We show that a simple MLP-based IAA model with TCDs only based on predefined tags can achieve an SRCC of 0.767, which is comparable to most state-of-the-art methods. However, predefined tags may not be sufficient to describe all possible image contents that the model may encounter. Therefore, we further propose the implicit matching process to describe image contents that cannot be described by predefined tags. By integrating components obtained from the implicit matching process into TCDs, the IAA model further achieves an SRCC of 0.817, which significantly outperforms existing IAA methods. Both the explicit matching process and the implicit matching process are realized by the proposed TCD generator. To evaluate the performance of the proposed TCD generator in matching images with predefined tags, we also labeled 5101 images with photography-related tags to form a validation set. And experimental results show that the proposed TCD generator can meaningfully assign photography-related

关键词： Photography

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Direct self-assembly of organic micro-arrays with programmable multi-color patterns

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science China Materials 2025年第2期68卷 441-447页

作者： Qiuyi Zhang Qi Huang Jianping Li Xiaofei Yue Chenxu Sheng Husnain Jawad Zhiguo Zhou Ziyang Song Fengxian Xie Chunxiao Cong Zhi-Jun Qiu Laigui Hu Ran Liu Center of Micro Nano System School of Information Science and TechnologyFudan UniversityShanghai 200438China Institute for Electric Light Sources School of Information Science and TechnologyFudan UniversityShanghai 200438China College of Chemistry and Materials Science Shanghai Frontiers Science Center of Biomimetic CatalysisShanghai Normal UniversityShanghai 200234China Shanghai Key Lab of Chemical Assessment and Sustainability School of Chemical Science and EngineeringTongji UniversityShanghai 200092China

High-resolution organic arrays with diverse pixel types hold significant promise for various applications,such as full-color displays and photonic *** direct growth of such arrays(e.g.,high-resolution multi-color patterns)cannot be achieved in a single step with conventional ***,we present a viable approach integrating a bottom-up solution strategy with phase-change materials(PCMs),specifically aggregation-induced emission(AIE)*** intentional self-assembly,color-programmable organic micro-patterns featuring distinct phases or colors were ***,manipulating the amount of involved substance for nucleation/crystallization was achieved by adjusting the sizes of pre-defined nucleation *** precise control resulted in varied phases and colors for each ***,high-resolution organic micro-arrays with transfer-free multi-color pixels were directly *** may open avenues for seamless,transfer-free growth of multifunctional micro-patterns using PCMs,holding immense potential for applications in high-resolution full-color imaging/displays,photonic crystals,information storage,and encryption,etc.

关键词： phase-change aggregation-induced emission selfassembly high-resolution multi-color patterns

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Unveiling impacts of PMD on spectral modulations in PM-fiber-based ultrafast amplifiers

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Chinese Optics Letters 2024年第12期22卷 57-62页

作者： Shang Wang Guanguang Gao Zhenhua Cong Zhaojun Liu Zhigang Zhao Key Laboratory of Laser&Infrared System Ministry of EducationShandong UniversityQingdao 266237China School of Information Science and Engineering Shandong UniversityQingdao 266237China Shanghai Institute of Optics and Fine Mechanics Chinese Academy of SciencesShanghai 201800China Shandong Provincial Key Laboratory of Laser Technology and Application Shandong UniversityQingdao 266237China

In this work,polarization mode dispersion(PMD)in polarization-maintaining(PM)fibers,to the best of our knowledge,is first proposed and experimentally proved to be responsible for severe spectral modulations in ultrafast PM fiber amplifiers,the introduction of which can give reasonable explanation for the dense spectral ripples imposed on the spectra of amplified lasers from the commonly used all-PM-fiber or hybrid“PM-fiber+bulk crystal”amplifiers,including both high-power amplifiers with remarkable nonlinear effects(self-phase modulation,SPM)and even low-power amplifiers with negligible nonlinear effects.

关键词： spectral modulation polarization mode dispersion self-phase modulation polarization-maintaining fibers

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A Cooperative Position Method of Two Aircraft Under the Condition of Giant Inertial Dispersion 11th

A Cooperative Position Method of Two Aircraft Under the Cond...

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11th China Conference on Command and Control, C2 2023

作者： Peng, Siting Li, Lei Ren, Jun Zhu, Hongbo Yang, Jiabin Beijing Electro-Mechanical Engineering Institute Beijing100074 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China School of Electronics and Information Engineering Beihang University Beijing China

ISBN: (纸本)9789819990207

In this paper, based on the condition that the inertial navigation system loaded on the aircraft has giant dispersion, and the aircraft need to detect, track and attack a target, thus the relative position relation needs to be calculated precisely. How to estimate the problem becomes a difficult obstacle. This article describe the demand faced in the weapon engineer field and provide some solutions feasibly in the practical engineering, three mathematical method are modelled and the readers can choose the suitable scheme according to the detector performance. The un-linear filter method like unscented and cubature kalman filter are used in combination with the state and observation equation. The simulation results show that the modelling methods are observable and the filter method is adaptive to the motion method, therefore the algorithm elaborated in the thesis is of practical significance to the engineer project. © Chinese Institute of Command and Control 2024.

关键词： Aircraft

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