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International Conference on Image, Vision and Intelligent Systems, ICIVIS 2021

作者： Li, Xinyang Yang, Shaowu Liu, Hengzhu State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha410073 China

ISBN: (纸本)9789811669620

Concrete crack detection is critical to the maintenance of infrastructure. Neural network-based vision methods are widely used to address this challenging task. Current supervised learning methods rely heavily on a large amount of labeled data. To tackle this problem, we proposed an unsupervised concrete crack detection method based on nnU-Net, in which a new reconstruction strategy is applied. Specifically, the input image is first passed to the trained model, and the output image is used as the input image of the final model to reconstruct the original image. We introduced the weighted sum of L2 and SSIM as the loss function of the network to improve the reconstruction ability of the model. We analyzed the proposed method and compared it with the baseline method, which shows obvious improvement. The method has an AP of 0.84 and AUROC of 0.85 on the test set and can give rough estimate of concrete crack location. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Crack detection

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Coupled-mode phase matching on a silicon chip

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Physical Review A 2025年第3期111卷 033504-033504页

作者： Chao Wu Pingyu Zhu Miaomiao Yu Weihong Luo Qilin Zheng Kaikai Zhang Yingwen Liu Ping Xu Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha 410073 China Hefei National Laboratory Hefei 230088 China

Phase matching lies at the heart of the classical nonlinear process for frequency conversion and all-optical processing, as well as the spontaneous parametric process for the quantum light sources generation. In this work, we experimentally demonstrate the coupled-mode phase-matching (CMPM) engineered by the two-paralleled-coupled waveguides on a silicon-on-insulator (SOI) chip, extending the converted beam and entangled photons to the S band and L band. We measure the spectrum and efficiency of wavelength conversion, which successfully validates the designed CMPM scheme. We further measure the pairs generation rate of the biphoton based on the spontaneous four-wave mixing, which features a narrow bandwidth consistent well with the theoretical simulations. Multiple CMPM conditions can be achieved by exploiting the combinations of even and odd supermodes of the coupled system and tuned by designing a proper coupling gap between the two waveguides. The CMPM can extend the FWM nonlinear process ranging from the O band to the U band and even the midinfrared, enriching the working wavelength to a large extent. In addition, the CMPM features a discrete-band narrow bandwidth, which will greatly enhance the encoding density of frequency and the spectral purity of generated photon. In addition, our methods can be easily extended to a wide range of materials such as silicon nitride, dispensing with the dispersion engineering for phase matching.

关键词： Silicon nitride

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PIOD: An Efficient Parallel Iterative Algorithm for Solving Over-determined Equations 29

PIOD: An Efficient Parallel Iterative Algorithm for Solving ...

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29th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2023

作者： Tian, Min Wei, Zhenguo Li, Yanlong Du, Wei Xiao, Lei Xu, Chaoshuai China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks China Jinan Institute of Supercomputing Technology Jinan Key Laboratory of High Performance Computing China

ISBN: (纸本)9798350330717

The solution of over-determined equations plays a very important role in fields such as data fitting, signal processing, and machine learning. It is of great significance in predicting natural phenomena, optimizing engineering design, and other fields. However, there is currently no efficient method to solve over-determined equations, either being not accurate enough or consuming a lot of time. In this article, we propose a parallel iterative method for solving over-determined equations, called the PIOD algorithm. By using a sub-convergence condition to terminate the iterative calculation, we have developed a task partitioning strategy for the algorithm and implemented parallelization of the solution of over-determined equations on a distributed memory system. Our proposed algorithm achieves an average speedup of 152 ×times compared to the open-source Eigen solver. Additionally, it also achieves a parallel efficiency of over 30%. © 2023 IEEE.

关键词： conjugate gradient method MPI over-determined equations parallel algorithms parallel iterative methods

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Multi-Restricted Point Cloud Adversarial Attack based on Sensitivity Maps 5

Multi-Restricted Point Cloud Adversarial Attack based on Sen...

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5th International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2024

作者： Chen, Geng Li, Teng National University of Defense Technology State Key Laboratory of High-Performance Computing Changsha410000 China The College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha410000 China

ISBN: (纸本)9798350385557

The point cloud classification networks have been widely applied in 3D Reconstruction and Remote Sensing. The backbone of these networks is often implemented based on Deep Neural Networks (DNNs). Currently, a series of studies confirm that DNNs are vulnerable and susceptible to interference from adversarial samples. The existing strategies for attack and defense are primarily focused on the image domain. Due to the unordered and unstructured nature of point clouds, there has been limited research on attack algorithms for point clouds. Current black-box transferable attack algorithms face a challenge in balancing adversary and imperceptibility. They often lead to either a low Attack Success Rate (ASR) or the emergence of significant outlier points, which can be removed by Statistical Outlier Removal (SOR) methods easily. Inspired by principles from attack algorithm in image domain, this article introduces a novel approach. After extensive evaluation on several mainstream recognition models (such as PointNet++ and DGCNN), we have demonstrated that our black-box transferable attack method achieves state-of-the-art performance. To the best of our knowledge, we are the first to propose a point cloud black box transferable attack algorithm based on improved MI-FGSM. © 2024 IEEE.

关键词： Deep neural networks

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An Improved YOLOv5s-Based Smoke Detection System for Outdoor Parking Lots

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computers, Materials & Continua 2024年第8期80卷 3333-3349页

作者： Ruobing Zuo Xiaohan Huang Xuguo Jiao Zhenyong Zhang State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang550025China School of Information and Control Engineering Qingdao University of TechnologyQingdao266520China State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou310027China Key Laboratory of Computing Power Network and Information Security Ministry of EducationQilu University of Technology(Shandong Academy of Sciences)Jinan250353China Text Computing&Cognitive Intelligence Engineering Research Center of National Education Ministry Guizhou UniversityGuiyang550025China

In the rapidly evolving urban landscape,outdoor parking lots have become an indispensable part of the city’s transportation *** growth of parking lots has raised the likelihood of spontaneous vehicle combus-tion,a significant safety hazard,making smoke detection an essential preventative ***,the complex environment of outdoor parking lots presents additional challenges for smoke detection,which necessitates the development of more advanced and reliable smoke detection *** paper addresses this concern and presents a novel smoke detection technique designed for the demanding environment of outdoor parking ***,we develop a novel dataset to fill the gap,as there is a lack of publicly available *** dataset encompasses a wide range of smoke and fire scenarios,enhanced with data augmentation to ensure robustness against diverse outdoor ***,we utilize an optimized YOLOv5s model,integrated with the Squeeze-and-Excitation Network(SENet)attention mechanism,to significantly improve detection accuracy while maintaining real-time processing ***,this paper implements an outdoor smoke detection system that is capable of accurately localizing and alerting in real time,enhancing the effectiveness and reliability of emergency *** show that the system has a high accuracy in terms of detecting smoke incidents in outdoor scenarios.

关键词： YOLOv5s smoke detection deep learning SENet

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Optimizing Medical Imaging: high-performance Hardware for Image Processing, Machine Learning 24

Optimizing Medical Imaging: High-Performance Hardware for Im...

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7th International Conference on Digital Medicine and Image Processing, DMIP 2024

作者： Kalyan Chakravarthy, N.S. Balapanur, Mouli Chandra Pandian, Arun Nambi Pulikanti, Jyothi Prasad, D. Syed Masood, Jafar Ali Ibrahim High-Performance Computing Research Laboratory QIS College of Engineering and Technology Andhra Pradesh Ongole India Department of Internet of Things School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore India

ISBN: (纸本)9798400709586

The demand for high-performance hardware solutions for machine learning tasks is growing as medical imaging evolves. In this paper, we will focus on the latest hardware advanced technologies: GPUs, TPUs and FPGAs that can be used for image processing optimization in medical imaging such as brain tumor segmentation or chest X-ray classification. We test these devices on the BraTS and ChestX-ray14 datasets to show how running models quicker increases diagnostic performance. The study offers a comprehensive performance and energy efficiency evaluation of all the considered hardware solutions when training deep learning models for medical imaging, providing clinical guidelines to choose appropriate new-generation accelerators before engaging in expensive leasing contracts. Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.

关键词： GPUS

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SOLVING NONLINEAR DELAY-DIFFERENTIAL-ALGEBRAIC EQUATIONS WITH SINGULAR PERTURBATION VIA BLOCK BOUNDARY VALUE METHODS

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Journal of Computational Mathematics 2023年第4期41卷 643-662页

作者： Xiaoqiang Yan Xu Qian Hong Zhang Songhe Song Xiujun Cheng College of Liberal Arts and Sciences National University of Defense TechnologyChangsha 410073China State Key Laboratory of High Performance computing National University of Defense TechnologyChangsha 410073China College of Science Zhejiang Sci-Tech UniversityHangzhou 310018China Institute of Natural Sciences Shanghai Jiao Tong UniversityShanghai 200240China

Block boundary value methods(BBVMs)are extended in this paper to obtain the numerical solutions of nonlinear delay-differential-algebraic equations with singular perturbation(DDAESP).It is proved that the extended BBVMs in some suitable conditions are globally stable and can obtain a unique exact solution of the ***,whenever the classic Lipschitz conditions are satisfied,the extended BBVMs are preconsistent and pth order ***,through some numerical examples,the correctness of the theoretical results and computational validity of the extended BBVMs is further confirmed.

关键词： Nonlinear delay-diferential-algebraic equations with singular perturbation Block boundary value methods Unique solvability Convergence Global stability

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Medical image registration and its application in retinal images:a review

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Visual computing for Industry,Biomedicine,and Art 2024年第1期7卷 142-164页

作者： Qiushi Nie Xiaoqing Zhang Yan Hu Mingdao Gong Jiang Liu Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Singapore Eye Research Institute Singapore 169856Singapore State Key Laboratory of Ophthalmology Optometry and Visual ScienceEye HospitalWenzhou Medical UniversityWenzhou 325027China

Medical image registration is vital for disease diagnosis and treatment with its ability to merge diverse informa-tion of images,which may be captured under different times,angles,or *** several surveys have reviewed the development of medical image registration,they have not systematically summarized the existing med-ical image registration *** this end,a comprehensive review of these methods is provided from traditional and deep-learning-based perspectives,aiming to help audiences quickly understand the development of medical image *** particular,we review recent advances in retinal image registration,which has not attracted much *** addition,current challenges in retinal image registration are discussed and insights and prospects for future research provided.

关键词： computer-aided diagnosis Medical image registration Deep learning Generative model Transformer Retina

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Bright 547-dimensional Hilbert-space entangled resource in 28-pair modes biphoton frequency comb from a reconfigurable silicon microring resonator

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Chinese Physics B 2022年第2期31卷 129-134页

作者： Qilin Zheng Jiacheng Liu Chao Wu Shichuan Xue Pingyu Zhu Yang Wang Xinyao Yu Miaomiao Yu Mingtang Deng Junjie Wu Ping Xu Institute for Quantum Information and State Key Laboratory of High Performance Computing College of Computer.National University of Defense TechnologyChangsha 410073China College of Advanced Interdisciplinary Studies National University of Defense TechnologyChangsha 410013China National Laboratory of Solid State Microstructures and School of Physics Nanjing University.Nanjing 210093China

high-dimensional entanglement provides valuable resources for quantum technologies,including quantum communication,quantum optical coherence tomography,and quantum *** a high brightness and dimensional entanglement source has significant *** we utilize a tunable asymmetric Mach–Zehnder interferometer coupled silicon microring resonator with 100 GHz free spectral range to achieve this *** the strategy of the tunable coupler,the dynamical and extensive tuning range of quality factors of the microring can be obtained,and then the biphoton pair generation rate can be *** selecting and characterizing 28 pairs from a more than 30-pair modes biphoton frequency comb,we obtain a Schmidt number of at least 23.4 and on-chip pair generation rate of 19.9 MHz/m W;under a low on-chip pump power,which corresponds to 547 dimensions Hilbert space in frequency *** results will prompt the wide applications of quantum frequency comb and boost the further large density and scalable on-chip quantum information processing.

关键词： silicon microring resonator quantum entanglement biphoton frequency comb

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FlyDB: Query Optimization of Blockchain System Based on Hybrid Storage Architecture 4

FlyDB: Query Optimization of Blockchain System Based on Hybr...

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4th International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2023

作者： Liu, Yang Xie, Zehui Xiao, Nong Chen, Zhiguang Ou, Yang Institute for Quantum Information and State Key Laboratory of High-Performance Computing College of Computer National University of Defense Technology Changsha China School of Computer Science and Engineering Sun Yat-sen University Guangzhou China College of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9798350314526

The hybrid storage architecture incorporates a blockchain dual-index structure optimized for byte addressing in non-volatile memory, low-latency features, and the large capacity of SSD. This paper presents a novel LSM-Tree architecture that leverages the byte-Addressing characteristics of non-volatile memory. The layers of the level0 and level1 are stored in non-volatile memory while employing a local key-value separation strategy to minimize read and write operations during compaction. A logic compression strategy is proposed to handle data compression tasks efficiently. A dual-index structure design is introduced for users to address the scope and multi-keyword queries in the blockchain system. During the compression process, keyword switching occurs during data reordering, ensuring that data within the same SSTable is rearranged according to user preferences. By effectively harnessing the advantages of each level in the hybrid storage architecture, this design significantly reduces both databases write time and the response time for complex queries. © 2023 IEEE.

关键词： Blockchain

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