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IEEE Winter Applications and Computer Vision Workshops (WACVW)

作者： Esteban Rivera Jannik Lübberstedt Nico Uhlemann Markus Lienkamp Technical University of Munich Germany School of Engineering & Design Institute of Automotive Technology and Munich Institute of Robotics and Machine Intelligence

ISBN: (数字)9798331536626

ISBN: (纸本)9798331536633

Deep learning models for autonomous driving, encompassing perception, planning, and control, depend on vast datasets to achieve their high performance. However, their generalization often suffers due to domain-specific data distributions, making an effective scene-based categorization of samples necessary to improve their reliability across diverse domains. Manual captioning, though valuable, is both laborintensive and time-consuming, creating a bottle-neck in the data annotation process. Large Visual Language Models (LVLMs) present a compelling solution byautomating image analysis and categorization through contextual queries, often without requiring retraining for new categories. In this study, we evaluate the capabilities of LVLMs, including GPT-4 and LLaVA, to understand and classify urban traffic scenes on both an inhouse dataset and the BDD100K. We propose a scalable captioning pipeline that integrates state-of-the-art models, enabling a flexible deployment on new datasets. Our analysis, combining quantitative metrics with qualitative insights, demonstrates the effectiveness of LVLMs to understand urban traffic scenarios and highlights their potential as an efficient tool for data-driven advancements in autonomous driving.

关键词： Point cloud compression Visualization Solid modeling Three-dimensional displays Predictive models Solids Cognition Planning Reliability Autonomous vehicles

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Oral Cancer Classification Using a Hybrid Attention-Aided Deep Learning Model 5th

Oral Cancer Classification Using a Hybrid Attention-Aided D...

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5th International Conference on Medical Imaging and Computer Aided Diagnosis, MICAD 2024

作者： Dutta, Srinjan Roy, Jibesh Mandal, Diptarka Kaplun, Dmitrii Shpakovskaya, Irina Sarkar, Ram Department of Computer Science and Engineering Jalpaiguri Government Engineering College Jalpaiguri India School of Computer Engineering and Mathematical Sciences Defence Institute of Advanced Technology Pune India Artificial Intelligence Research Institute China University of Mining and Technology Xuzhou China Department of Automation and Control Process Saint Petersburg Electrotechnical University "LETI" Saint Petersburg Russia Department of Computer Science and Engineering Jadavpur University West Bengal Kolkata India I.P. Pavlov Saint Petersburg First State Medical University St. Petersburg Russia

ISBN: (纸本)9789819638628

Oral cancer remains a critical global health challenge, characterized by high morbidity and mortality due to late-stage diagnosis. This paper addresses the need for improved diagnostic accuracy by introducing a novel hybrid-attention aided deep learning model for oral cancer classification. Our approach integrates the EfficientNetB0 model for feature extraction with a customized hybrid attention module, combining self, spatial, and soft attention mechanisms to emphasize crucial features. The model has been trained and evaluated on both microscopic and macroscopic oral cancer datasets, demonstrating its generalizability. Our proposed model achieves an accuracy of 96.97% on a macroscopic dataset and 92% on a microscopic dataset, with respective F1-scores of 0.97 and 0.89, outperforming baseline models. This hybrid attention-aided deep learning model shows significant potential in improving early detection and treatment planning of oral cancer. Source code and additional results of this work can be found at the GitHub repository. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Contrastive Learning

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Effect of Al2O3/SiO2 micro-stacked composite coatings on the high-temperature performance of AISI 304 steel

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Ceramics International 2025年

作者： Ma, Jing Liu, Shuai-ze Chang, Xu Feng, Zhi-hao Li, Jian-hui Wang, Jian-gang Fan, Ming-qiang Hebei Short Process Steelmaking Technology Innovation Center School of Material Science and Engineering Hebei University of Science and Technology Hebei Shijiazhuang050018 China HBIS Group Technology Research Institute Hebei Shijiazhuang052165 China

Al2O3/SiO2 micro-stacked composite coatings with varying deposition sequences were fabricated on AISI 304 stainless steel to enhance their performance for applications exceeding 850 °C. Single coatings of Al2O3 and SiO2, as well as Al2O3-SiO2 (A-S) mixed coating, were prepared for comparative analysis. After 100 h of oxidation treatment at 900 °C, X-ray diffraction (XRD), scanning electron microscopy (SEM) and energy spectrum analysis (EDS)were used to investigate their high-temperature performance. The results demonstrated that all coatings effectively enhanced the high-temperature performance of stainless steel. The antioxidant properties of the coatings were ranked: coatings with SiO2 applied first (SSA, SAS) > coatings with Al2O3 applied first (ASA, AAS) > single coatings (AAA, SSS), revealing that the deposition sequences significantly effected the high-temperature performance of coatings. The combination of Al2O3 and SiO2 facilitates the formation of a more protective composite oxide, exhibiting complementary high-temperature antioxidant properties. The low mass gain of the A-S mixed coating and its high oxidation spallation indicate limited improvement in the antioxidant properties. A partial metallurgical bond layer has formed in the interface of coating/substrate for micro-stacked composite thin coatings with SiO2 applied first, which contributes to lower oxidation spallation thus the better oxidation resistance. The SAS micro-stacked composite thin coating demonstrated the best high temperature oxidation resistance, with mass gain and oxidation spallation of 41.2 % and 29.9 % respectively compared to those of the blank stainless steel sample. © 2025

关键词： Spalling

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Experimental Study on the Hole-Forming Process at the Borehole Bottom During Hot Water Drilling in Ice and Its Influence Mechanisms

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Journal of Marine Science and engineering 2025年第4期13卷 817-817页

作者： Deng, Zhipeng Sun, Youhong Fan, Xiaopeng Talalay, Pavel Yang, Yifan Liu, Ximu Gong, Da Li, Bing Wang, Ting Wu, Wei Zhang, Nan Wei, Xianzhe Institute for Polar Science and Engineering Jilin University Changchun130012 China School of Engineering and Technology China University of Geosciences Beijing100083 China College of Geoexploration Science and Technology Jilin University Changchun130026 China

Hot water drilling is a drilling method that employs high-temperature and high-pressure hot water jetting to achieve ice melting drilling. Characterized by rapid drilling speed and large hole diameter, it is widely used for drilling observation holes in polar ice sheets and ice shelves. Understanding the hole-enlargement process at the bottom of hot water-drilled holes is crucial for rationally designing the structure of hot water drills. However, due to the complexity of heat transfer processes, no suitable theoretical model currently exists to accurately predict this process. To address this, this paper establishes an experimental platform for hot water drilling and conducts 24 sets of experiments under different drilling parameters using visualization techniques. The study reveals the influence mechanisms of drilling speed, hot water flow rate, hot water temperature, downhole drill shape, and nozzle structure on the hole-forming process at the borehole bottom. Experimental results indicate that the primary hole enlargement occurs near the nozzle, achieving 69–81% of the theoretical maximum borehole diameter. The thermal melting efficiency at the borehole bottom is approximately 80%, with about 20% of the input hot water energy heating the surrounding ice. Under identical hot water parameters, jet shapes and drill shapes exhibit minimal impact on borehole geometry. But the improvement of the jet speed and hot water temperature can accelerate the hole-forming process. © 2025 by the authors.

关键词： Hot water heating

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Unveiling the effect of Y2O3 addition on the microstructure and tribological performance of Ti(C,N)-based cermets

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Ceramics International 2025年

作者： Elgazzar, Ali Zhou, Sheng-Jian Ouyang, Jia-Hu Liu, Zhan-Guo Wang, Yu-Jin Chen, Lei School of Materials Science and Engineering Harbin Institute of Technology Harbin150001 China Mechanical Engineering Department Shoubra Faculty of Engineering Benha University Cairo11629 Egypt

Ti(C,N)-based cermets are composite materials that combine ceramic hardness with metallic toughness, making them ideal for cutting tools and wear-resistant applications. Microstructural refinement and secondary phases can enhance their properties. This study investigated the effect of Y2O3 addition on the microstructure, mechanical properties, thermal stability and tribological performance of Ti(C,N)-based cermets. The samples with various Y2O3 additions were created using ball milling and vacuum sintering. The tribological properties of Ti(C,N)-based cermets were investigated using ball-on-disk wear tests. The addition of 0.5 wt% Y2O3 enhances the mechanical properties of Ti(C,N)-based cermets, resulting in high Vickers hardness of 1655 Kgf/mm2, optimized fracture toughness of 8.81 MPa⋅m1/2, and improved transverse rupture strength of 1653 MPa. This is due to the improved microstructural refinement and phase distribution. The addition of 0.5 wt% Y2O3 also increases density and reduces porosity, achieving a maximum density of 6.42 g/cm3 and a lowest porosity of 0.15%. Y2O3 also improves thermal stability, and the sample with 0.5 wt% Y2O3 achieves the highest performance by limiting oxidation and preserving a stable surface morphology. Its tribological properties of Ti(C,N)-based cermets are significantly improved by 0.5 wt% Y2O3, which has the lowest wear rate of 2.49 × 10−6 mm3/(N⋅m), and the lowest coefficient of friction of 0.48. Therefore, 0.5 wt% Y2O3 is the appropriate addition for better wear resistance of Ti(C,N)-based cermets. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Sintering

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Control of Motion Reduction Cabins for Aircraft

Advanced Control for Applications: Engineering and Industria...

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Advanced Control for Applications: engineering and Industrial Systems 2025年第1期7卷

作者： Ichikawa, Yukihiro Yamamoto, Ikuo Uchihori, Hiroshi Aso, Shigeru Katayama, Masayuki Graduate School of Engineering Nagasaki University Nagasaki Nagasaki Japan Organization for Marine Science and Technology Nagasaki University Nagasaki Nagasaki Japan Mobility Systems Engineering Kurume Institute of Technology Fukuoka Kurume City Japan

Aircraft cabins experience translational accelerations along three axes and rotational accelerations around three axes during flight, leading to uncomfortable motion and vibrations. To mitigate these effects, this study proposes a Motion Reduction Cabin concept. To establish its feasibility, fundamental data on commercial jet transport dynamics were measured and analyzed. The measured pitch angle variation (−5° to 22°) and maximum Z-axis acceleration (4.95 m/s2) were used to define the operating range of the Motion Reduction Cabin system. These values served as key parameters in determining the required actuator response time and displacement limits. To implement the Motion Reduction Cabin, aircraft motion is categorized into angular and translational components. Angular motion can be stabilized using a gimbal mechanism, while translational motion—particularly horizontal and lateral movements—may be mitigated using a system analogous to an air caster mechanism. However, vertical motion presents a major challenge. This study proposes a novel vertical motion compensation system, which actively counteracts vertical displacements in real time. Furthermore, a preliminary MATLAB simulation was conducted to observe the basic behavior of the system. The results suggest that the proposed system has the potential to mitigate vertical disturbances, providing promising insights for the feasibility of the Motion Reduction Cabin concept. © 2025 The Author(s). Advanced Control for Applications: engineering and Industrial Systems published by John Wiley & Sons Ltd.

关键词： MATLAB

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An Optimal Frequency Selection Method for Online Torque Monitoring of Bolted Joints Based on Ultrasonic Guided Wave

SSRN

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SSRN 2025年

作者： Dong, Han Li, Jiaxin Shi, Weijia Tian, Xinqi Zhao, Bo Tan, Jiubin Yang, Bin Functional Materials and Acoustooptic Instruments Institute School of Instrumentation Science and Engineering Harbin Institute of Technology Harbin150080 China Center of Ultra-precision Optoelectronic Instrument Engineering Harbin Institute of Technology Harbin150080 China Ministry of Industry and Information Technology Harbin150080 China

Bolted joints are crucial in aerospace, machinery, and civil engineering, with failures severely affecting system reliability. Online monitoring of bolt torque is vital for ensuring structural safety. However, existing ultrasonic guided wave-based torque monitoring methods are often hindered by environmental noise, leading to inaccurate measurements. Moreover, the excitation center frequency (ECF) is typically chosen based on empirical experience, which may not optimize system performance and reduces torque detection sensitivity. This study proposes an optimal frequency selection methodology using the guided wave transmission energy (TE) spectrum. A simplified two-dimensional finite element model (FDFEM) of bolted joints is developed to analyze the interaction between ultrasonic guided waves and the joint. Based on the law of conservation of energy, the TE in the reception region is caculated , thereby facilitating the calculation of the guided wave TE spectrum, and the optimal ECF is determined to be 230 kHz. The experimental results show that at this frequency, TE is maximized, and the linear correlation with torque exhibits a superior fit, showing strong robustness to environmental noise and high sensitivity to torque changes. These results validate that the proposed optimal frequency selection method enhances ultrasonic guided wave-based bolt torque detection. © 2025, The Authors. All rights reserved.

关键词： Bolted joints

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Recent progress on surface chemistryⅡ:Property and characterization

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Chinese Chemical Letters 2025年第1期36卷 8-57页

作者： Xin Li Zhen Xu Donglei Bu Jinming Cai Huamei Chen Qi Chen Ting Chen Fang Cheng Lifeng Chi Wenjie Dong Zhenchao Dong Shixuan Du Qitang Fan Xing Fan Qiang Fu Song Gao Jing Guo Weijun Guo Yang He Shimin Hou Ying Jiang Huihui Kong Baojun Li Dengyuan Li Jie Li Qing Li Ruoning Li Shuying Li Yuxuan Lin Mengxi Liu Peinian Liu Yanyan Liu Jingtao Lü Chuanxu Ma Haoyang Pan JinLiang Pan Minghu Pan Xiaohui Qiu Ziyong Shen Qiang Sun Shijing Tan Bing Wang Dong Wang Li Wang Lili Wang Tao Wang Xiang Wang Xingyue Wang Xueyan Wang Yansong Wang Yu Wang Kai Wu Wei Xu Na Xue Linghao Yan Fan Yang Zhiyong Yang Chi Zhang Xue Zhang Yang Zhang Yao Zhang Xiong Zhou Junfa Zhu Yajie Zhang Feixue Gao Yongfeng Wang Center for Carbon-based Electronics and Key Laboratory for the Physics and Chemistry of Nanodevices School of ElectronicsPeking UniversityBeijing 100871China Spin-X Institute School of MicroelectronicsSouth China University of TechnologyGuangzhou 511442China School of Materials and Energy Guangzhou Key Laboratory of Low-Dimensional Materials and Energy Storage DevicesGuangdong University of TechnologyGuangzhou 510006China Faculty of Materials Science and Engineering Kunming University of Science and TechnologyKunming 650093China i-Lab CAS Key Laboratory of Nanophotonic Materials and DevicesSuzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhou 215123China CAS Key Laboratory of Molecular Nanostructure and Nanotechnology CAS Research/Education Center for Excellence in Molecular SciencesBeijing National Laboratory for Molecular Sciences(BNLMS)Institute of ChemistryChinese Academy of SciencesBeijing 100190China State Key Laboratory for Organic Electronics and Information Displays&Jiangsu Key Laboratory for Biosensors Institute of Advanced MaterialsJiangsu National Synergetic Innovation Center for Advanced MaterialsNanjing University of Posts and TelecommunicationsNanjing 210023China Institute of Functional Nano and Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials and DevicesSoochow UniversitySuzhou 215123China Hefei National Research Center for Physical Sciences at the Microscale and Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China Institute of Physics&University of Chinese Academy of Sciences Beijing 100190China State Key Laboratory of Catalysis Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China College of Chemistry Beijing Normal UniversityBeijing 100875China Beijing National Laboratory for Molecular Sciences(BNLMS) College of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871China School

Surface with well-defined components and structures possesses unique electronic,magnetic,optical and chemical *** a result,surface chemistry research plays a crucial role in various fields such as catalysis,energy,materials,quantum,and *** science mainly investigates the correspondence between surface property and *** probe microscopy(SPM)techniques are important tools to characterize surface properties because of the capability of atomic-scale imaging,spectroscopy and manipulation at the single-atom *** this review,we summarize recent advances in surface electronic,magnetic and optical properties characterized mainly by SPM-based *** focus on elucidating theπ-magnetism in graphene-based nanostructures,construction of spin qubits on surfaces,topology properties of surface organic structures,STM-based light emission,tip-enhanced Raman spectroscopy and integration of machine learning in SPM studies.

关键词： Surface chemistry Scanning probe microscopy π-Magnetism Spin qubits Tip-enhanced Raman spectroscopy

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A Stationary Wavelet Transform-Based Positioning Scheme for Long Range Distributed Fiber Optic Disturbance Sensor

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IEEE Sensors Journal 2025年

作者： Sun, Zhenshi Ma, Zhe Niu, Jun Guo, Hao Zhang, Jinqi Yang, Haokun Nanyang Institute of Technology School of Information Engineering Nanyang473004 China Taiyuan University of Technology College of Physics and Optoelectronic Engineering Taiyuan030024 China Henan University College of Artificial Intelligence Zhengzhou450046 China

This article introduces a stationary wavelet transform-based positioning scheme that is grounded in an inline asymmetric Mach-Zehnder interferometer-based long-range distributed fiber optic disturbance sensing system. Firstly, utilizing the light phase modulation theory, the high-frequency components of the received sensing signals are intercepted by a Hilbert transformer finite-impulse response filter. Secondly, to mitigate the asymmetry of the sensing signals stemming from the central wavelengths of the lasers within the system, a stationary wavelet transform-based signal processing algorithm is employed to discern the specific time-frequency variation envelopes from the intercepted signals. Thirdly, a generalized cross-correlation algorithm is utilized to calculate a fixed time delay between the extracted time-frequency variation envelopes. Lastly, accurate disturbance positioning information along the fiber link is demodulated utilizing the derived time delay value. The feasibility and effectiveness of the proposed positioning scheme have been evaluated in the constructed fiber optic disturbance sensing system. The results show that an average positioning error of 18.5 m was recorded at a point 81 km along the fiber under test. Moreover, the average processing time for this positioning methodology was only 0.12 s. Therefore, it is believed that the proposed positioning strategy based on the constructed distributed fiber optic disturbance sensing system holds significant potential for applications requiring real-time and precise detection of long-distance disturbance events. © 2001-2012 IEEE.

关键词： Mach-Zehnder interferometers

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Structural design of a wide-ridge mid-wave infrared quantum cascade laser based on a supersymmetric waveguide

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Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves 2025年第3期44卷 447-453页

作者： Du, Shu-Hao Zheng, Xian-Tong Jia, Han Cui, Jin-Tao Zhang, Shi-Ya Feng, Yu-Lin Liu, Yuan Zhang, Chun-Qian Liu, Ming Zhang, Dong-Liang Laboratory of Optoelectronic Materials and Devices School of Instrumental Science and Optoelectronic Engineering Beijing Information Science and Technology University Beijing100192 China Key Laboratory of Optoelectronic Test Technology and Instrumentation Ministry of Education of China Beijing Information Science and Technology University Beijing100016 China School of Applied Science Beijing Information Science and Technology University Beijing100192 China The 11th Research Institute of China Electronics Technology Group Corporation Beijing100015 China

In the process of power scaling large-area quantum cascade lasers（QCLs），challenges such as degrada⁃ tion of beam quality and emission of multilobed far-field modes are frequently encountered. These issues become particularly pronounced with an increase in ridge width，resulting in multimode problems. To tackle this，an inno⁃ vative multi ridge waveguide structure based on the principle of supersymmetry（SUSY）was proposed. This structure comprises a wider main waveguide in the center and two narrower auxiliary waveguides on either side. The high-order modes of the main waveguide are coupled with the modes of the auxiliary waveguides through mode-matching design，and the optical loss of the auxiliary waveguides suppresses these modes，thereby achiev⁃ ing fundamental mode lasing of the wider main waveguide. This paper employs the finite difference eigenmode （FDE）method to perform detailed structural modeling and simulation optimization of the 4. 6 μm wavelength quantum cascade laser，successfully achieving a single transverse mode QCL with a ridge width of 10 μm. In comparison to the traditional single-mode QCL（with a ridge width of about 5 μm），the MRW structure has the po⁃ tential to increase the gain area of the laser by 100%. This offers a novel design concept and methodology for en⁃ hancing the single-mode luminous power of mid-infrared quantum cascade lasers，which is of considerable signifi⁃ cance. © 2025 Chinese Optical Society. All rights reserved.

关键词： Quantum cascade lasers

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