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A Data Fusion Algorithm and Simulation Based on TQMM 11th

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A Data Fusion Algorithm and Simulation Based on TQMM

11th EAI International Conference on Simulation Tools and Techniques, SIMUTools 2019

作者： Zhang, Ke Wang, Zeyang Li, Huiling School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China Science and Technology on Electronic Information Control Laboratory Chengdu610000 China Sichuan Jiuzhou Electronic Technology Co. Ltd. Mianyang621000 China School of Communication and Information Engineering University of Electronic Science and Technology of China Chengdu611731 China

ISBN: (纸本)9783030322151

Asynchronous data fusion is more practical than synchronous data fusion, the model of track-to-track fusion in this case has been established and the concept of Track Quality with Multiple Model (TQMM) was put forward, furthermore a data fusion algorithm is proposed, in which the TQMM is used to assign weights, to improve tracking precision in asynchronous multi-sensor data fusion system. The simulation results show that the algorithm has a better tracking performance compared with original algorithms. © ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering 2019.

关键词： Sensor data fusion

Nth-order nonlinear intensity fluctuation amplifier

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arXiv 2021年

作者： Zhang, Shuanghao Zheng, Huaibin Wang, Gao Chen, Hui Liu, Jianbin Zhou, Yu He, Yuchen Luo, Sheng Liu, Yanyan Xu, Zhuo Key Laboratory of Multifunctional Materials and Structures Ministry of Education School of Electronic Science and Engineering Xi'An Jiaotong University Shaanxi Xi'an710049 China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin300308 China School of Physics & Astronomy University of Glasgow GlasgowG12 8QQ United Kingdom MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter Department of Applied Physics Xi'An Jiaotong University Xi'an710049 China

Stronger light intensity uctuations are pursued by related applications such as optical resolution, image enhancement, and beam positioning. In this paper, an Nth-order light intensity uctuation amplifier is proposed, which was demonstrated by a four-wave mixing process with different statistical distribution coupling lights. Firstly, its amplification mechanism is revealed both theoretically and experimentally. The ratio R of statistical distributions and the degree of second-order coherence g(2)(0) of beams are used to characterize the affected modulations and the increased light intensity uctuations through the four-wave mixing process. The results show that the amplification of light intensity uctuations is caused by not only the uctuating light fields of incident coupling beams, but also the uctuating nonlinear coefficient of interaction. At last, we highlight the potentiality of applying such amplifier to other N-order nonlinear optical effects. Copyright © 2021, The Authors. All rights reserved.

关键词： Image enhancement

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge

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arXiv 2025年

作者： Luo, Gongning Xu, Mingwang Chen, Hongyu Liang, Xinjie Tao, Xing Ni, Dong Jeong, Hyunsu Kim, Chulhong Stock, Raphael Baumgartner, Michael Kirchhoff, Yannick Rokuss, Maximilian Maier-Hein, Klaus Yang, Zhikai Fan, Tianyu Boutry, Nicolas Tereshchenko, Dmitry Moine, Arthur Charmetant, Maximilien Sauer, Jan Du, Hao Bai, Xiang-Hui Raikar, Vipul Pai Montoya-Del-Angel, Ricardo Martí, Robert Luna, Miguel Lee, Dongmin Qayyum, Abdul Mazher, Moona Guo, Qihui Wang, Changyan Awasthi, Navchetan Zhao, Qiaochu Wang, Wei Wang, Kuanquan Wang, Qiucheng Dong, Suyu School of Computer Science and Technology Harbin Institute of Technology Harbin150001 China Department of Mathematics Faculty of Science National University of Singapore Singapore National-Regional Key Technology Engineering Laboratory for Medical Ultrasound School of Biomedical Engineering Shenzhen University Medical School Shenzhen University Shenzhen China Laboratory Shenzhen University Shenzhen China School of Biomedical Engineering and Informatics Nanjing Medical University Nanjing China Pohang Korea Republic of Heidelberg Division of Medical Image Computing Heidelberg Germany Faculty of Mathematics and Computer Science Heidelberg University Germany Heidelberg Germany HIDSS4Health - Helmholtz Information and Data Science School for Health Karlsruhe Heidelberg Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Germany Department of Biomedical Engineering and Health KTH Royal Institute of Technology Stockholm Sweden France FathomX Singapore Saw Swee Hock School of Public Health National University of Singapore Singapore Philips Research University of Girona Spain Department of Robotics and Mechatronics Engineering DGIST Korea Republic of Department of Interdisciplinary Studies of Artificial Intelligence DGIST Korea Republic of National Heart and Lung Institute Faculty of Medicine Imperial College London London United Kingdom Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom Lab School of Communication and Information Engineering Shanghai University Shanghai China Faculty of Science Mathematics and Computer Science Informatics Institute University of Amsterdam Amsterdam1090 GH Netherlands Department of Biomedical Engineering and Physics Amsterdam UMC Amsterdam1081 HV Netherlands Xi’an Jiaotong-Liverpool University China Department of Ultrasound Harbin Medical University Cancer Hospital No. 150 Haping Road Nangang

Breast cancer is one of the most common causes of death among women worldwide. Early detection helps in reducing the number of deaths. Automated 3D Breast Ultrasound (ABUS) is a newer approach for breast screening, which has many advantages over handheld mammography such as safety, speed, and higher detection rate of breast cancer. Tumor detection, segmentation, and classification are key components in the analysis of medical images, especially challenging in the context of 3D ABUS due to the significant variability in tumor size and shape, unclear tumor boundaries, and a low signal-to-noise ratio. The lack of publicly accessible, well-labeled ABUS datasets further hinders the advancement of systems for breast tumor analysis. Addressing this gap, we have organized the inaugural Tumor Detection, Segmentation, and Classification Challenge on Automated 3D Breast Ultrasound 2023 (TDSC-ABUS2023). This initiative aims to spearhead research in this field and create a definitive benchmark for tasks associated with 3D ABUS image analysis. In this paper, we summarize the top-performing algorithms from the challenge and provide critical analysis for ABUS image examination. We offer the TDSC-ABUS challenge as an open-access platform at https://***/ to benchmark and inspire future developments in1algorithmic research. © 2025, CC BY.

关键词： Image segmentation

Regularized densely-connected pyramid network for salient instance segmentation

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arXiv 2020年

作者： Wu, Yu-Huan Liu, Yun Zhang, Le Gao, Wang Cheng, Ming-Ming TKLNDST College of Computer Science Nankai University Tianjin300350 China ETH Zurich Switzerland School of Information and Communication Engineering University of Electronic Science and Technology of China China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

Much of the recent efforts on salient object detection (SOD) have been devoted to producing accurate saliency maps without being aware of their instance labels. To this end, we propose a new pipeline for end-to-end salient instance segmentation (SIS) that predicts a class-agnostic mask for each detected salient instance. To better use the rich feature hierarchies in deep networks and enhance the side predictions, we propose the regularized dense connections, which attentively promote informative features and suppress non-informative ones from all feature pyramids. A novel multi-level RoIAlign based decoder is introduced to adaptively aggregate multi-level features for better mask predictions. Such strategies can be well-encapsulated into the Mask R-CNN pipeline. Extensive experiments on popular benchmarks demonstrate that our design significantly outperforms existing state-of-the-art competitors by 6.3% (58.6% vs. 52.3%) in terms of the AP metric. The code is available at https://***/yuhuan-wu/RDPNet. © 2020, CC BY-NC-ND.

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Simulation Environment of Evaluation and Optimization for Moving Target Defense: A SimPy Approach 2019

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Simulation Environment of Evaluation and Optimization for Mo...

Proceedings of the 2019 the 9th International Conference on communication and Network security

作者： Xinli Xiong Linru Ma Chao Cui Army Engineering University of People's Liberation Army Nanjing Jiangsu China National Key Laboratory of Science and Technology on Information System Security Beijing China Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9781450376624

In this paper, a simulation environment for evaluating the effectiveness and performance cost of moving target defense (MTD) is presented. This simulation environment is based on SimPy, which is a process-based discrete-event simulation framework worked on standard Python. In our MTD simulation environment, we develop a typical topology to contain different deployments of moving target (MT) techniques. Meanwhile, processes of attackers, defenders, services, and users are analyzed and modeled in the simulation environment, which also provides an extendable interface for MT technologies in the future. In the case study, we quantify the effectiveness and performance of MTD in the proposed simulation environment under several typical scenarios, none-MTD deployment, high-security strategy, high-performance strategy. The average attacking time, average processed requests, and average request's processing time are used as metrics to assess different MTD strategies. Results show that our simulation environment provides an efficient and intuitionistic method for evaluating the effectiveness and performance of MTD and helping to choose a more optimal strategy set for MTD.

关键词： Discrete event simulation Performance quantification Moving target defense SimPy

Preselection based subjective preference evaluation for the quality of underwater images 32

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Preselection based subjective preference evaluation for the ...

32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019

作者： Yang, Miao Du, Yixiang Huang, Yue Liu, Hantao Wei, Zhiqiang Hu, Jintong Hu, Ke Sheng, Zhibin School of Electronic Engineering HuaiHai Institute of Technology China Marine Equipment and Technology Institute Jiangsu University of Science and Technology China Qingdao National Laboratory of Marine Science and Technology China Key Laboratory of Underwater Acoustic Communication and Marine Information Technology Ministry of Education China School of Computer Science and Informatics Cardiff University United Kingdom Ocean University of China School of Information Engineering Mining and Technology University of China School of Information and Control Engineering

ISBN: (纸本)9781728125060

Underwater images contain an interactive mixture of distortions due to the physicochemical property of water and the instability of imaging systems, which differ from those in natural images. We cannot obtain the pristine underwater image as the reference applied in the traditional benchmark databases, and the groups of gradual distortions either. In this paper, a novel preselection based preference label evaluation method is proposed to construct a combined subjective test procedure for an extended preference judgment dataset of underwater images. To the best of our knowledge, this is the first subjective evaluation procedure for underwater images, and also a solution for an expanding visual preference benchmark database. We demonstrate the excellent correlation of the proposed subjective evaluation with the traditional image quality assessment. It is also proven that the proposed subjective evaluation procedure could reflect the slight change of image quality and the authentic quality of a picture more accurately better than the traditional methods. © 2019 IEEE Computer Society. All rights reserved.

关键词： Database systems

Bitstream Protocol Classification Mechanism Based on Feature Extraction

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Bitstream Protocol Classification Mechanism Based on Feature...

International Conference on Networking and Network Applications (NaNA)

作者： Wei Wang Binbin Bai Yichuan Wang Xinhong Hei Li Zhang Science and Technology on communication Information Security control Laboratory No.36 Research Institution of CETC College of Computer Science and Engineering Xi'an University of Technology Xi'an China

ISBN: (数字)9781728126296

ISBN: (纸本)9781728126302

In recent years, with the continuous expansion of network communication scale, the types of niche protocols and various proprietary communication protocols are increasing day by day, but botnet and various network attacks have also emerged in endlessly. However, most of the commonly used network protocol recognition software uses a single method, and can only identify specific network data packets or data streams, the degree of automation is low, and the recognition accuracy is not high. In view of the above situation, this paper takes the bit flow protocol data frame as the research object, takes the multi-protocol recognition as the goal, and carries on the protocol feature recognition by comparing the data flow characteristics and the evaluation index. The features of the protocol to be detected are compared with the existing protocol features of the feature base, and the similarity between each protocol is judged. The extracted composite features are digitalized to generate 0-1 matrix, and clustering analysis is completed. The frame vector quantification algorithm of message data is designed and implemented to improve the clustering efficiency. The experimental results show that, compared with the traditional algorithm, the protocol eigenvector algorithm improves the accuracy by 15%, which can make the unknown protocol format be generated faster.

关键词： Protocols security Feature extraction communication networks Syntactics Semantics Clustering algorithms

Simulation environment of evaluation and optimization for moving target defense: A SiMpy approach 9

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Simulation environment of evaluation and optimization for mo...

9th International Conference on communication and Network security, ICCNS 2019

作者： Xiong, Xinli Ma, Linru Cui, Chao Army Engineering University of People's Liberation Army Nanjing Jiangsu China National Key Laboratory of Science and Technology on Information System Security Beijing China Beijing Institute of Control Engineering Beijing China

ISBN: (纸本)9781450376624

In this paper, a simulation environment for evaluating the effectiveness and performance cost of moving target defense (MTD) is presented. This simulation environment is based on SimPy, which is a process-based discrete-event simulation framework worked on standard Python. In our MTD simulation environment, we develop a typical topology to contain different deployments of moving target (MT) techniques. Meanwhile, processes of attackers, defenders, services, and users are analyzed and modeled in the simulation environment, which also provides an extendable interface for MT technologies in the future. In the case study, we quantify the effectiveness and performance of MTD in the proposed simulation environment under several typical scenarios, none-MTD deployment, high-security strategy, high-performance strategy. The average attacking time, average processed requests, and average request’s processing time are used as metrics to assess different MTD strategies. Results show that our simulation environment provides an efficient and intuitionistic method for evaluating the effectiveness and performance of MTD and helping to choose a more optimal strategy set for MTD. © 2019 Association for Computing Machinery.

关键词： Discrete event simulation

Long-distance continuous-variable quantum key distribution over 202.81 km fiber

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arXiv 2020年

作者： Zhang, Yichen Chen, Ziyang Pirandola, Stefano Wang, Xiangyu Zhou, Chao Chu, Binjie Zhao, Yijia Xu, Bingjie Yu, Song Guo, Hong State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing100876 China State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronics Center for Quantum Information Technology Peking University Beijing100871 China Computer Science and York Centre for Quantum Technologies University of York YorkYO10 5GH United Kingdom Science and Technology on Security Communication Laboratory Institute of Southwestern Communication Chengdu610041 China

Quantum key distribution (QKD) [1–3] provides secure keys resistant to code-breaking quantum computers. The continuous-variable version of QKD [1, 4–6] offers the advantages of higher secret key rates in metropolitan areas, as well as the use of standard telecom components that can operate at room temperature [7–10]. However, the transmission distance of these systems (compared with discrete-variable systems) are currently limited and considered unsuitable for long-distance distribution [11]. Herein, we report the experimental results of long distance continuous-variable QKD over 202.81 km of ultralow-loss optical fiber by suitably controlling the excess noise and employing highly-efficient reconciliation procedures. This record-breaking implementation of the continuous-variable QKD doubles the previous distance record and shows the road for long-distance and large-scale secure QKD using room-temperature standard telecom components. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum cryptography