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Instant Edit Propagation on Images Based on Bilateral Grid

computers, Materials & Continua 2019年第8期61卷 643-656页

作者： Feng Li Chaofeng Ou Yan Gui Lingyun Xiang Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and TechnologyChangsha410114China School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore639798Singapore

The ability to quickly and intuitively edit digital content has become increasingly important in our everyday ***,existing edit propagation methods for editing digital images are typically based on optimization with high computational cost for large ***,existing edit propagation methods are generally inefficient and highly ***,to improve edit efficiency,this paper proposes a novel edit propagation method using a bilateral grid,which can achieve instant propagation of sparse image ***,given an input image with user interactions,we resample each of its pixels into a regularly sampled bilateral grid,which facilitates efficient mapping from an image to the bilateral *** a result,all pixels with the same feature information(color,coordinates)are clustered to the same grid,which can achieve the goal of reducing both the amount of image data processing and the cost of *** then reformulate the propagation as a function of the interpolation problem in bilateral space,which is solved very efficiently using radial basis *** results show that our method improves the efficiency of color editing,making it faster than existing edit approaches,and results in excellent edited images with high quality.

关键词： Instant edit propagation bilateral grid radial basis function image editing

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A data clustering strategy for enhancing mutual privacy in healthcare system of IoT

A data clustering strategy for enhancing mutual privacy in h...

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2019 IEEE International Conferences on Ubiquitous Computing and Communications and Data Science and Computational Intelligence and Smart Computing, Networking and Services, IUCC/DSCI/SmartCNS 2019

作者： Guo, Xuancheng Lin, Hui Xu, Chuanfeng Lin, Wenzhong School of Mathematics and Computer Science Fujian Normal University Fuzhou China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China

ISBN: (纸本)9781728152097

Recent advances in the healthcare system of Internet of Things (IoT) has led to a generation of a large amount of physic sensor data. Data analyst collects and analyzes these sensor data through wireless sensor network, so as to provide some treatment advices to physicians and patients. As a common data mining method, the k-means clustering algorithm is being applied to process large-scale sensor data. However, it also poses a threat of privacy leakage in the specific application process. To enhance the privacy in healthcare system of IoT, mutual privacypreserving k-means strategy (M-PPKS) based on homomorphic encryption is proposed in this paper, which neither discloses an individual's private information nor leaks the cluster center's characteristic data. An extension performance evaluation shows that, in the case of ensuring accurate clustering results, even if the analyst and individuals collude, the M-PPKS can prevent the disclosure of private information. © 2019 IEEE.

关键词： Internet of things

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Representation Matching For Remote Quantum Computing

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PRX Quantum 2021年第2期2卷 020327-020327页

作者： Yuxiang Yang Masahito Hayashi Institute for Theoretical Physics ETH Zürich Switzerland QICI Quantum Information and Computation Initiative Department of Computer Science The University of Hong Kong Pokfulam Road Hong Kong Shenzhen Institute for Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Guangdong Provincial Key Laboratory of Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Shenzhen Key Laboratory of Quantum Science and Engineering Southern University of Science and Technology Shenzhen 518055 China Graduate School of Mathematics Nagoya University Nagoya 464-8602 Japan

Many quantum computational tasks have inherent symmetries, suggesting a path to enhancing their efficiency and performance. Exploiting this observation, we propose representation matching, a generic probabilistic protocol for reducing the cost of quantum computation in a quantum network. We show that the representation-matching protocol is capable of reducing the communication or memory cost to almost the minimum in various tasks, including remote execution of unitary gate arrays, permutation gates, and unitary conjugation, as well as the storage and retrieval of unitary gates.

关键词： Quantum computation Quantum information processing

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Survey on Multi-Objective Evolutionary Algorithms 5

Survey on Multi-Objective Evolutionary Algorithms

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5th Annual International Conference on Network and information Systems for computers, ICNISC 2019

作者： Huang, Wenlan Zhang, Yu Li, Lan School of Computer and Information Engineering Harbin University of Commerce Harbin150028 China Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing Harbin University of Commerce Harbin150028 China

Multi-objective evolutionary algorithm (MOEA) is the main method to solve multi-objective optimization problem (MOP), which has become one of the hottest research areas of evolutionary computation. This paper surveys the development of MOEA and its research status, classifies it into four categories, analyzes the advantages and disadvantages of these algorithms, and summarizes the main application fields of MOEA. Finally several viewpoints for the future research of MOEA are presented. © Published under licence by IOP Publishing Ltd.

关键词： Evolutionary algorithms

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Research on Wave-Off Risk Estimation Based on WODCP 3

Research on Wave-Off Risk Estimation Based on WODCP

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3rd IEEE Advanced information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2019

作者： Li, Hui Su, Xiaodong Zhang, Yuru Zhao, Ming Li, Yun Hao, Gang Harbin University of Commerce School of Computer and Information Engineering China Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing China Heilongjiang University School of Electronic Engineering Harbin China

ISBN: (纸本)9781728105130

Consider the high risk of carrier-based aircraft wave-off operation, this paper has a research on wave-off decision making technology based on Wave-Off Decision Critical Position (WODCP). In this paper, after analyzing wave-off operation force, the wave-off decision making critical position should be defined. There are four steps of wave-off decision making technological process, including flight risk judge, wave-off risk judge, wave-off warning judge and wave-off decision making. Multiple examples simulations with and without LSO wave-off command based on flight path, wave-off surplus distance and wave-off risk have been compared to explain the important of wave-off decision making critical position. © 2019 IEEE.

关键词： Risk perception

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Self-Supervised Speech Denoising Using Only Noisy Audio Signals

arXiv

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arXiv 2021年

作者： Wu, Jiasong Li, Qingchun Yang, Guanyu Li, Lei Senhadji, Lotfi Shu, Huazhong LIST Key Laboratory of Computer Network and Information Integration Southeast University Ministry of Education Nanjing210096 China Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing Southeast University Nanjing210096 China RennesF-35042 France The 28th Research Institute of China Electronics Technology Group Corporation Nanjing210007 China Univ Rennes INSERM LTSI UMR 1099 RennesF-35042 France

In traditional speech denoising tasks, clean audio signals are often used as the training target, but absolutely clean signals are collected from expensive recording equipment or in studios with the strict environments. To overcome this drawback, we propose an end-to-end self-supervised speech denoising training scheme using only noisy audio signals, named Only-Noisy Training (ONT), without extra training conditions. The proposed ONT strategy constructs training pairs only from each single noisy audio, and it contains two modules: training audio pairs generated module and speech denoising module. The first module adopts a random audio sub-sampler on each noisy audio to generate training pairs. The sub-sampled pairs are then fed into a novel complex-valued speech denoising module. Experimental results show that the proposed method not only eliminates the high dependence on clean targets of traditional audio denoising tasks, but also achieves on-par or better performance than other training strategies. Availability-ONT is available at https://***/liqingchunnnn/Only-Noisy-Training. Copyright © 2021, The Authors. All rights reserved.

关键词： Machine learning

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Parameter training methods for convolutional neural networks with adaptive adjustment method based on Caputo fractional-order differences

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Chaos, Solitons and Fractals 2025年 199卷

作者： Zhao, Haiming Yang, Honggang Chen, Jiejie Jiang, Ping Zeng, Zhigang School of Computer and Information Engineering Hubei Normal University Huangshi435000 China School of Automation Wuhan University of Technology Wuhan430000 China School of Computer Hubei Polytechnic University Huangshi435000 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430000 China Key Laboratory of Image Information Processing and Intelligent Control Ministry of Education of China Wuhan430000 China

As deep learning technologies continue to permeate various sectors, optimization algorithms have become increasingly crucial in neural network training. This paper introduces two adaptive momentum algorithms based on Grünwald–Letnikov and Caputo fractional-order differences—Fractional Order Adagrad (FAdagrad) and Fractional Order Adam (FAdam)—to update parameters more flexibly by adjusting momentum information. Commencing from the definitions of fractional derivatives, we propose integrating fractional-order differences with gradient algorithms in convolutional neural networks (CNNs). These adaptive momentum algorithms, leveraging Grünwald–Letnikov and Caputo fractional-order differences, offer enhanced flexibility, thereby accelerating convergence. Our nonlinear parameter tuning method for CNNs demonstrates superior performance compared to traditional integer-order momentum algorithms and the standard Adam algorithm. Experimental results on the BraTS2021 dataset and CIFAR-100 dataset reveal that the proposed fractional-order optimization algorithms significantly outperform their integer-order counterparts in model optimization. They not only expedite convergence but also improve the accuracy of image recognition and segmentation. © 2025 Elsevier Ltd

关键词： Convolutional neural networks

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MR-APG: An improved model for swarm intelligence movement coordination 2nd

MR-APG: An improved model for swarm intelligence movement co...

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2nd International Conference on Smart Vehicular technology, Transportation, Communication and Applications, VTCA 2018

作者： Yang, Hui Ci, Linlin Zhang, Fuquan Yang, Minghua Mao, Yu Niu, Ke School of Computer Science and Technology Beijing Institute of Technology Beijing China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China RocketMilitary Equipment Research Institute Beijing China Computer School Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9783030045845

Swarm intelligence based on the bionics have become an emerging research field, and researchers have proposed some kinds of intelligent models, such as ant colony, free group wolves, fish flock, insects group, bacteria and bacteria immune etc. The behavior of common features is: the individual behavior and function is simple, but a rally for the swarm after a complex cluster behavior ability. In mobile swarm group individuals within a certain space can keep a certain distance to avoid collision in order to group coordinated movement. In this paper, an attempt has been made to optimize the continuous and collaborative of the swarm, when the swarm nodes in the process of moving and turning. This paper puts forward the Multi-Restrained Artificial Pigeon Group (MR-APG) model based on multiple constraint factors, and introduce the concepts of quantitative coordination of nodes to optimize the nodes "over-dispersion" or "over-assembly" phenomenon. The experimental results show that, the higer α1 value will lead to average movement synchronization ratio μsync of MR-APG model will be lower. The results also show that, comparing with the traditional A/R model (μsync = 73%) and 3D-VFA model (μsync = 84%), the proposed MR-APG method can make μsync equal to 95%, moreover, its only takes half time of A/R model to make μsync equal to 80%. © Springer Nature Switzerland AG 2019.

关键词： Swarm intelligence

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Attack intent analysis method based on attack path graph 9

Attack intent analysis method based on attack path graph

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9th International Conference on Communication and Network Security, ICCNS 2019

作者： Chen, Biqiong Liu, Yanhua Li, Shijin Gao, Xiaoling College of Mathematics and Computer Science Fuzhou University Fuzhou Fujian China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou Fujian China

ISBN: (纸本)9781450376624

With the rapid development of network technology, network security problems are gradually increasing, and the network attack situation is very severe. In a complex attack scenario, timely detection of potential attack behaviors and timely identification and pre-judgment of attack intentions are important components of security risks. However, the attack behavior in the network presents complexity, multi-step and uncertainty, which brings new technical challenges to attack intent analysis. Aiming at the problem that the attack intention of multi-step complex attack is difficult to identify, this paper proposes an attack intention analysis method based on attack path graph. Firstly, aiming at the multi-step complex attack behavior analysis problem, the key asset assessment technology is used to find out the key assets in the network system, and the hypothetical attack intention is generated according to the security protection requirements of the network system. Then, it is difficult to manually construct the attack path map in the large-scale network, and the automatic generation of the attack path map is realized. Finally, a method of network attack intent identification is proposed and a calculation method of attack intent probability is designed, which improves the efficiency and accuracy of attack intent recognition. © 2019 Association for Computing Machinery.

关键词： Uncertainty analysis

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A comprehensive assessment method of asset importance for key asset protection 9

A comprehensive assessment method of asset importance for ke...

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9th International Conference on Communication and Network Security, ICCNS 2019

作者： Gao, Xiaoling Liu, Yanhua Qiu, Yanbin Liu, Huajun College of Mathematics and Computer Science Fuzhou University Fuzhou Fujian China Fujian Provincial Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou Fujian China

ISBN: (纸本)9781450376624

In a given system network, an important prerequisite for security risk control is how to accurately calculate the impact of different host assets in the topology on the spread of attack risk. In this regard, we propose a comprehensive asset importance assessment model for critical asset protection. First, the importance of local static assets in the topology was evaluated using three methods: degree centrality, mediation centrality, and closeness centrality. At the same time, PageRank was used to assess the importance of local dynamic assets for asset level changes. By combining the above two methods, and using K-CORE to evaluate the core position of the host in the network topology as the global weight indicator of the importance of assets. The comprehensive evaluation results of the importance of topology-oriented assets was finally obtained, and the validity of the model was verified through the experiment of the simulation ER random network. © 2019 Association for Computing Machinery.

关键词： Network topology

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