检索结果-内蒙古大学图书馆

8th International Conference on Intelligent Informatics and Biomedical sciences, ICIIBMS 2023

作者： Liu, Ziqiong Li, Wenju Cui, Liu Gao, Xiaosong Shanghai Institute of Technology School of Computer Science and Information Engineering Shanghai China ShangHai CRRC Ro-Intelligent System. Co. Ltd. Shanghai China

ISBN: (纸本)9798350369564

Traffic sign recognition has long been an essential part of automatic driving. Accurate traffic sign recognition algorithms are conducive to the development of automatic driving. However, traffic signs in natural scenes are often small targets, which contain less feature information and are difficult to detect and recognize. Aiming at the problem of low recognition accuracy of small targets in traffic sign recognition, a traffic sign recognition algorithm based on a Bi-Level Routing Attention is proposed. It utilizes a single-stage detector YOLOv5 as the basic network, with a double-layer routing attention mechanism introduced, realizing more flexible computing allocation and content awareness through double-layer routing, which could capture long-range data without incurring an increasing computational overhead and memory usage. Furthermore, our approach achieves noteworthy recognition accuracy by extracting fine-grained information of small targets. In particular, the experiment shows the appealing results on the TT100K dataset, which detection accuracy map of reaches 92.9%, and the frame processing rate is 119.8FPS. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Pixel-level Non-local Self-similarity in Quaternion-encoded Color Image Denoising 43

Pixel-level Non-local Self-similarity in Quaternion-encoded ...

引用

43rd Chinese Control Conference, CCC 2024

作者： He, Qiuyang Hu, Wanru Xu, Zhengqin Wu, Shiqian Wuhan University of Science and Technology School of Information Science and Engineering Wuhan430081 China AI Institute Shanghai Jiao Tong University MoE Key Lab of Artificial Intelligence Shanghai201100 China

ISBN: (纸本)9789887581581

Low-rank quaternion recovery (LRQR) can effectively utilize the correlation between the RGB channels in color image denoising. However, the underlying low-rank structure of image relies on the patch-level non-local self-similarity (NSS), whose accuracy needs to be further improved. In our paper, we propose a pixel-level NSS method based on the patch-level NSS to more accurately capture the underlying low-rank structure of quaternion-encoded color image. Specifically, we propose a row matching method that performs fine screening on the basis of patch-level similar groups to obtain pixel-level similar groups, and then perform operatorname LRQR on them based on the Laplace function. We also propose a weighted aggregation method to measure the contribution of recovery effects of different groups. Experiments on synthetic noise images and real noise images show that when the noise variance is 10, 30, and 50, our proposed method increases at least 0.32 dB, 0.62 dB, and 0.58 dB on the average of PSNR, respectively. © 2024 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Image denoising

来源：评论

学校读者我要写书评

暂无评论

Remote,selective,and in situ manipulation of liquid droplets on a femtosecond laser-structured superhydrophobic shape-memory polymer by near-infrared light

引用

science China Chemistry 2021年第5期64卷 861-872页

作者： Xue Bai Jiale Yong Chao Shan Yao Fang Xun Hou Feng Chen State Key Laboratory for Manufacturing System Engineering and Shaanxi Key Laboratory of Photonics Technology for Information School of Electronic Science and EngineeringXi’an Jiaotong UniversityXi’an 710049China

Droplet manipulation plays a significant role in the fields of biomedical detection,microfluidics,and chemical ***,it still remains a great challenge to simultaneously achieve remote,selective,and in situ droplet manipulation on the same ***,Fe_(3)O_(4)nanoparticles were doped in a shape-memory polymer(SMP)to prepare a photothermal-responsive Fe_(3)O_(4)-SMP composite which showed remarkable near-infrared(NIR)light-triggered shape-memory *** micropillar array was constructed on such Fe_(3)O_(4)-SMP composite through femtosecond laser microfabrication and fluoroalkylsilane *** surface wettability of the as-prepared surface can transform from a low-adhesive sliding state to a high-adhesive pinning state as the micropillars are deformed by ***,the deformed micropillars can stand up and restore to their original morphology under remote NIR light irradiation,resulting in the reversible and repeatable recovery of the ultralow-adhesive *** such light-triggered wettability switching,the droplets pinning on the sample surface can be remotely,selectively,and in situ ***,the superhydrophobic Fe_(3)O_(4)-SMP surface is successfully applied in lossless liquid transfer,selective droplet release,and droplet-based *** as-fabricated superhydrophobic surfaces with NIR light-controlled reversible wettability will hold great promise in the fields of liquid manipulation,lab-on-a-chip,and microfluidics.

关键词： droplet manipulation superhydrophobicity shape-memory polymer femtosecond laser light responsive

来源：评论

学校读者我要写书评

暂无评论

Segmentation-Based Masked Sampling for text-to-animated image synthesis in disaster scenarios 14

Segmentation-Based Masked Sampling for text-to-animated imag...

引用

14th International Conference on information and Communication technology Convergence, ICTC 2023

作者： Won, Ru-Bin Choi, Ji Hoon Choi, Minji Bae, Byungjun University of Science and Technology Korea Information and Communication Engineering Daejeon Korea Republic of Media Intellectualization Research Lab Daejeon Korea Republic of

ISBN: (纸本)9798350313277

Generative AI has demonstrated significant capabilities in text-to-video synthesis, using advanced models characterized by extensive parameters. Given that current disaster alert services are mostly text-based and can be less accessible to many, this paper proposes a new approach. We aim to provide animated disaster images that precisely mirrors text prompts, thereby enhancing the efficiency and accessibility of disaster alerts. Our methodology combines the strengths of segmentation models and pre-trained Vision Transformer (ViT) mechanisms. By using a unique image selection based on CLIPScore and processing it with the CLIPSeg segmentation model, we generate an animated representation of disaster scenarios. This offers a simple, fast, and effective solution to the challenges of the current disaster alert systems. © 2023 IEEE.

关键词： disaster alert system image segmentation masked sampling text-to-animated image generative model text-to-video synthesis Vision Transformer (ViT)

来源：评论

学校读者我要写书评

暂无评论

Prompt-Based Segmentation and Inpainting : A New Approach to Disaster Image Creation 14

Prompt-Based Segmentation and Inpainting : A New Approach to...

引用

14th International Conference on information and Communication technology Convergence, ICTC 2023

作者： Choi, Minji Choi, Ji Hoon Won, Ru-Bin Bae, Byungjun University of Science and Technology Korea Information and Communication Engineering Daejeon Korea Republic of Media Intellectualization Research Lab Daejeon Korea Republic of

ISBN: (纸本)9798350313277

This paper proposes a novel approach to disaster image generation using prompt-based segmentation techniques. By segmenting terrains based on the provided prompt and inputting disaster-related prompts into the segmented area, we explore a method to generate images that reflect disaster scenarios. Moreover, we propose a method to adjust the inpainting mask area according to the severity of the disaster, providing a visual representation that varies with the situation. We acknowledge limitations in areas such as the inpainting mask region and the overall disaster image generation, and suggest directions for further research to overcome these challenges. We emphasize that the methodology of our study contributes significantly to disaster management and information dissemination. © 2023 IEEE.

关键词： disaster alert disaster image image inpainting image processing image segmentation text to image model

来源：评论

学校读者我要写书评

暂无评论

Orbital angular momentum conversion of acoustic vortex beams via planar lattice coupling

引用

Chinese Physics B 2024年第9期33卷 413-420页

作者： Qingbang Han Zhipeng Liu Cheng Yin Simeng Wu Yinlong Luo Zixin Yang Xiuyang Pang Yiqiu Wang Xuefen Kan Yuqiu Zhang Qiang Yu Jian Wu College of Information Science and Engineering Hohai UniversityChangzhou 213200China College of Advanced Interdisciplinary Studies Nanhu Laser LaboratoryNational University ofDefense TechnologyChangsha 410073China School of Transportation Engineering Jiangsu Shipping CollegeNantong 226010China i-Lab Suzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhou215123China

Orbital angular momentum(OAM)conversion is critical in understanding interactions between a structural sound field and a planar ***,we explore the evolution of a monochromatic acoustic vortex beam(AVB)that is scattered by a phononic crystal(PnC)or a correlated random *** phenomenon is ascribed to the enhanced orbit–orbit angular momentum coupling induced by the band *** modifying the coupling condition,accurate and continuous micromanipulation of AVBs can be achieved,including the transverse/lateral gravity shift,the dynamics of the phase singularities,and the spatial distribution of acoustic pressure,*** research provides insight to the inhomogeneous coupling of AVBs with both propagating Bloch waves and localized Anderson modes,and may facilitate development of novel OAM-based acoustic devices for active sound field manipulation.

关键词： acoustic vortex beam phononic crystal Anderson localization Imbert-Fedorov effect

来源：评论

学校读者我要写书评

暂无评论

Evaluating the Performance to Detecting Topic Shift of Large Language Models: A Study 9

Evaluating the Performance to Detecting Topic Shift of Large...

引用

9th International Conference on Intelligent Computing and Signal Processing, ICSP 2024

作者： Tian, Pingfang Liu, Deting Department of Computer Science and Technology Wuhan University of Science and Technology Wuhan430065 China Institute of Scientific and Technical Information of China The Key Laboratory of the Rich Media Knowledge Organisation and Service of Digital Publishing Content Beijing100038 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China Big Data Science and Engineering Research Institute Wuhan University of Science and Technology Wuhan430065 China

ISBN: (纸本)9798350376548

Topic shift detection aims to identify whether there is a change in the current topic of conversation or if a change is needed. The study found previous work did not evaluate the performance of large language models like ChatGPT on the task of topic shift. Therefore, this paper's main task and innovation lie in analyzing ChatGPT's performance on topic shift detection. To provide a more comprehensive evaluation, we conducted topic shift detection tasks on ChatGPT from three aspects: single utterances, adjacent utterances, and contextual levels. Additionally, to gauge the performance of large language models, we conducted experiments on multiple small-scale models and compared the results of the two models. Experimental results on the publicly available English TIAGE dataset showed that small-scale models exhibited lower recall in all three aspects, while ChatGPT performed better in the recall. This suggests that compared to small-scale models, large models are more capable of accurately detecting topic shifts. However, large models also exhibited lower precision, indicating that while ChatGPT can recognize content differences in utterances, its judgment on whether these different contents belong to the same topic is poor. © 2024 IEEE.

关键词： adjacent utterances level ChatGPT contextual level single utterances level topic shift detection

来源：评论

学校读者我要写书评

暂无评论

A Real-time Cutting Model Based on Finite Element and Order Reduction

引用

Computer systems science & engineering 2022年第10期43卷 1-15页

作者： Xiaorui Zhang Wenzheng Zhang Wei Sun Hailun Wu Aiguo Song Sunil Kumar Jha Wuxi Research Institute Nanjing University of Information Science&TechnologyWuxi214100China Engineering Research Center of Digital Forensics Ministry of EducationJiangsu Engineering Center of Network MonitoringSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China School of Automation Nanjing University of Information Science&TechnologyNanjing210044China State Key Laboratory of Bioelectronics Jiangsu Key Lab of Remote Measurement and ControlSchool of Instrument Science and EngineeringSoutheast UniversityNanjing210096China IT Fundamentals and Education Technologies Applications University of Information Technology and Management in RzeszowRzeszow Voivodeship100031Poland

Telemedicine plays an important role in Corona Virus Disease 2019(COVID-19).The virtual surgery simulation system,as a key component in telemedicine,requires to compute in ***,this paper proposes a realtime cutting model based on finite element and order reduction method,which improves the computational speed and ensure the real-time *** proposed model uses the finite element model to construct a deformation model of the virtual ***,a model order reduction method combining proper orthogonal decomposition and Galerkin projection is employed to reduce the amount of deformation *** addition,the cutting path is formed according to the collision intersection position of the surgical instrument and the lesion area of the virtual ***,the Bezier curve is adopted to draw the incision outline after the virtual lung has been ***,the simulation system is set up on the PHANTOM OMNI force haptic feedback device to realize the cutting simulation of the virtual *** results show that the proposed model can enhance the real-time performance of telemedicine,reduce the complexity of the cutting simulation and make the incision smoother and more natural.

关键词： Virtual surgery cutting model finite element model model order reduction Bezier curve

来源：评论

学校读者我要写书评

暂无评论

Smart Traffic Control system for Dubai: A Simulation Study Using YOLO Algorithms

Smart Traffic Control System for Dubai: A Simulation Study U...

引用

2023 IEEE International Conference on Electro information technology, eIT 2023

作者： Al Mamlook, Rabia Emhamed Zahrawi, Mohammad Gharaibeh, Hasan Nasayreh, Ahmad Shresth, Sujeet University of Al-Zawiya Industrial Engineering and Engineering Management Libya Trine University Indiana United States British University in Dubai Engineering and Information Technology Dubai United Arab Emirates Yarmouk University Department of Computer Science Information Technology and Computer Science Irbid211633 Jordan Wayne State University Department of Industrial and System Engineering DetroitMI48201 United States

ISBN: (纸本)9781665493765

Dubai's growing population and public transportation have led to an increase in vehicular traffic and associated challenges. To tackle these issues, there is a rising interest in using machine learning (ML)techniques to improve the city's traffic control system. This study aims to explore the potential of ML in enhancing traffic management and creating a sustainable urban environment. A novel approach to traffic management in Dubai that combines AI and ML algorithms has been proposed, with the potential to significantly improve traffic flow and safety. A simulation study on a smart traffic control system that utilizes YOLO algorithms for real-time vehicle detection and counting is presented. The system optimizes traffic light timings and balances traffic load among different roads to reduce congestion and improve traffic flow. The simulation results demonstrate that the system is highly effective in adapting to changing traffic conditions and reducing congestion. The study concludes that the use of ML algorithms such as YOLO has the potential to revolutionize traffic management in urban areas, leading to a more efficient and sustainable transportation system. Further research and development in this area could bring significant benefits to both motorists and the environment. © 2023 IEEE.

关键词： Smart city

来源：评论

学校读者我要写书评

暂无评论

DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems 41

DPN: Decoupling Partition and Navigation for Neural Solvers ...

引用

41st International Conference on Machine Learning, ICML 2024

作者： Zheng, Zhi Yao, Shunyu Wang, Zhenkun Tong, Xialiang Yuan, Mingxuan Tang, Ke Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Department of Computer Science City University of Hong Kong Hong Kong School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China China Huawei Noah's Ark Lab Shenzhen China

The min-max vehicle routing problem (min-max VRP) traverses all given customers by assigning several routes and aims to minimize the length of the longest ***, reinforcement learning (RL)-based sequential planning methods have exhibited advantages in solving efficiency and ***, these methods fail to exploit the problem-specific properties in learning representations, resulting in less effective features for decoding optimal *** paper considers the sequential planning process of min-max VRPs as two coupled optimization tasks: customer partition for different routes and customer navigation in each route (i.e., partition and navigation).To effectively process min-max VRP instances, we present a novel attention-based Partition-and-Navigation encoder (P&N Encoder) that learns distinct embeddings for partition and ***, we utilize an inherent symmetry in decoding routes and develop an effective agent-permutation-symmetric (APS) loss *** results demonstrate that the proposed Decoupling-Partition-Navigation (DPN) method significantly surpasses existing learning-based methods in both single-depot and multi-depot minmax *** code is available at. Copyright 2024 by the author(s)

关键词： Sales

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：