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21st IEEE International Conference on High Performance computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Sun, Hui Dai, Shangshang Huang, Jianzhong Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education School of Computer Sci. and Tech. Anhui University Hefei China Wuhan National Lab. for Optoelectronics Huazhong University of Sci. and Tech Wuhan China

ISBN: (纸本)9781728120584

Log-structured merge tree (i.e., LSM-tree) based key-value stores, which are widely used in big-data applications, provide high performance. NAND Flash-based Solid state disks (i.e., SSDs) become the popular devices that alternative to hard disk drives (i.e., HDDs) because of the high performance and low power consumption. LSM-tree KV stores with SSDs are deployed in large-scale storage systems to achieve high performance in the cloud. However, the host-side write amplification in LSM-tree KV stores and the device-side write amplification in SSDs can impair the overall system performance. The former that is attributed to compaction has a burn on I/O bandwidth between two sides. The latter, which results from garbage collection in NAND Flash memory, blocks user I/Os from the host and degrades the SSD performance. In this study, we explored cascaded write amplification in LSM-tree KV stores with SSDs. Our primary goal is to comprehensively study two-level cascaded write amplification on the host and device sides. We quantitatively analyze the impact of two-level write amplification on overall performance. This work reveals details of cascaded write amplification and helps developers in the software stacks of LSM-tree based KV stores with SSDs. © 2019 IEEE.

关键词： NAND circuits

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LCD codes from tridiagonal Toeplitz matrice

arXiv

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arXiv 2021年

作者： Shi, Minjia Özbudak, Ferruh Xu, Li Solé, Patrick Key Laboratory of Intelligent Computing Signal Processing Ministry of Education School of Mathematical Sciences Anhui University HefeiAnhui230601 China Department of Mathematics Institute of Applied Mathematics Middle East Technical University Ankara Turkey School of Mathematical Sciences Anhui University HefeiAnhui230601 China I2M Aix Marseille Univ. Centrale Marseille CNRS Marseille France

Double Toeplitz (DT) codes are codes with a generator matrix of the form (I, T) with T a Toeplitz matrix, that is to say constant on the diagonals parallel to the main. When T is tridiagonal and symmetric we determine its spectrum explicitly by using Dickson polynomials, and deduce from there conditions for the code to be LCD. Using a special concatenation process, we construct optimal or quasi-optimal examples of binary and ternary LCD codes from DT codes over extension *** Codes 94B05, 15B05, 12E10 Copyright © 2021, The Authors. All rights reserved.

关键词： Matrix algebra

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Development of Economic Model Predictive Control for Permanent Magnet Synchronous Motor

Development of Economic Model Predictive Control for Permane...

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Sustainable Power and Energy Conference (iSPEC)

作者： Peijie Chen Tianhong Pan School of Electrical and Information Engineering Jiangsu University Zhenjiang China Key Laboratory of Intelligent Computing and Signal Processing of Minister of Education School of Electrical Engineering and Automation Anhui University Hefei China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

Permanent magnet synchronous motor (PMSM) has gradually become the main driving motor for electric vehicles (EVs). Reducing the electrical loss of PMSM can effectively improve the cruising distance of EVs after a single charge. In order to improve the system operation efficiency, the economic factors of the system are considered, and a drive system for PMSM using the economic model predictive control (EMPC) has been proposed in this paper. Firstly, the mathematical model of PMSM is described, and the electrical loss of the system is investigated. Then, economic performance indicators are embedded into the cost function, and the optimal control law is obtained by solving the optimization problem with constraints. Case studies demonstrate that the proposed EMPC not only improves the dynamic response of the motor, but also reduces the loss of the system. In this way, the system operation efficiency is improved and the purpose of energy saving is achieved.

关键词： Economics Systems operation Optimal control Permanent magnet motors Synchronous motors Cost function Predictive control

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Reversible data hiding in encrypted images based on pixel prediction and bit-plane compression

arXiv

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arXiv 2019年

作者： Yin, Zhaoxia Peng, Yinyin Xiang, Youzhi school of Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei230601 China

Reversible data hiding in encrypted images (RDHEI) receives growing attention because it protects the content of the original image while the embedded data can be accurately extracted and the original image can be reconstructed lossless. To make full use of the correlation of the adjacent pixels, this paper proposes an RDHEI scheme based on pixel prediction and bitplane compression. Firstly, to vacate room for data embedding, the prediction error of the original image is calculated and used for bit-plane rearrangement and compression. Then, the image after vacating room is encrypted by a stream cipher. Finally, the additional data is embedded in the vacated room by multi-LSB substitution. Experimental results show that the embedding capacity of the proposed method outperforms the state-of-the-art methods. Copyright © 2019, The Authors. All rights reserved.

关键词： Steganography

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Author Correction: Full reconstruction of simplicial complexes from binary contagion and Ising data

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Nature communications 2022年第1期13卷 3692页

作者： Huan Wang Chuang Ma Han-Shuang Chen Ying-Cheng Lai Hai-Feng Zhang The Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Mathematical Science Anhui University Hefei 230601 China. School of Internet Anhui University Hefei 230601 China. School of Physics and Material Science Anhui University Hefei 230601 China. School of Electrical Computer and Energy Engineering Arizona State University Tempe AZ 85287 USA. The Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Mathematical Science Anhui University Hefei 230601 China. haifengzhang1978@***.

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An energy efficiency optimization algorithm based on the factor for portion of time division in backhaul-constrained ultra dense hetnets 4

An energy efficiency optimization algorithm based on the fac...

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4th IEEE International Conference on Computer and Communications, ICCC 2018

作者： Chu, Shiqiang Hu, Yanjun Wang, Yi Ministry of Education Anhui University Key Laboratory of Intelligent Computing Signal Processing Hefei China

ISBN: (纸本)9781538683392

The ultra dense networks (UDN) are considered as a key technology of 5G for its ability to increase communication capacity. However, the problem of constrained backhaul and the lack of energy which is caused by micro base station without power supply equipment are two mainly bottlenecks of UDN. In order to solve the problem of low micro base station's energy efficiency (MIEE) due to constrained backhaul, we propose an energy efficiency optimization algorithm based on the factor for the portion of time division (FPTD). The optimization problem considers a joint design of downlink precoding, power allocation and the FPTD, meanwhile, we utilize first order Taylor convex approximation (FOTCA), convex slack variable and one-dimensional search method (ODS) to solve. Simulation results show that the proposed FPTD-based energy efficiency optimization algorithm (FEEOA) is improved with much better energy efficient compared with the primitive scheme without FPTD, and more throughputs can be transmitted at the same energy consumption. © 2018 IEEE.

关键词： Base stations

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Android Oriented Image Visualization Exploratory Search 5th

Android Oriented Image Visualization Exploratory Search

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5th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2019

作者： Ouyang, Jianquan He, Hao Chu, Minnan Chen, Dong Tang, Huanrong College of Information Engineering Xiangtan University Xiangtan411105 China Key Laboratory of Intelligent Computing and Information Processing Ministry of Education College of Information Engineering Xiangtan University Xiangtan411105 China

ISBN: (纸本)9789811501203

When using traditional image search engines, smartphone users often complain about their poor user interface including poor user experience, and weak interaction. Moreover, users are unable to find a desired picture partly due to the unclear key words. This paper proposes the word-bag co-occurrence scheme by defining the correlation between images. Through exploratory search, the search range can be expanded and help users refine retrieval of the expected images. Firstly, the proposed scheme applied the bag of visual words (BoVW) vector by processing images on Hadoop. Secondly, similarity matrix was constructed to organize the image data. Finally, the images in which users were interested was visually displayed on the android mobile phone via exploratory search. Comparing the proposed method to current methods by testing with image data sets on ImageNet, the experimental results show that the former is superior to the latter on visual representation, and the proposed scheme can provide a better user experience. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Visualization

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Bernstein Bezout Matrix with Applications to the Generalized Lienard-Chipart Stability Criterion

Bernstein Bezout Matrix with Applications to the Generalized...

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第三十八届中国控制会议

作者： Huazhang Wu Xiaoting Shen Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University School of Mathematical Sciences Anhui University

In polynomial and linear control systems, the Lienard-Chipart stability criterion plays an important role in the judgment of the zeros of a real polynomial based on the inertia of a Bezout matrix. In this paper we consider the case in the Bernstein polynomials basis. First, the Bernstein Bezout matrix and some important properties are introduced, and then a generalized perturbations of a real polynomial under the Bernstein polynomials basis is considered. Finally, a generalized Lienard-Chipart stability criterion in terms of the Bernstein Bezout matrix is established.

关键词： Bernstein polynomials basis Bernstein Bezout matrix perturbation Lienard-Chipart stability criterion

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Multi-Category Fusion Contrastive Learning with Core Data Selection for Robust RGB Image-based Dental Caries Classification

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Information Fusion 2025年 124卷

作者： Peiliang Zhang Yaru Chen Yunjiong Liu Chao Che Yongjun Zhu Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Ministry of Education Dalian 116622 China School of Computer Science and Artificial Intelligence Wuhan University of Technology Wuhan 430070 China Department of Library and Information Science Yonsei University Seoul 03722 Republic of Korea Centre for Vision Speech and Signal Processing (CVSSP) University of Surrey Surrey GU2 7NA United Kingdom School of Software Engineering Dalian University Dalian 116622 China

Dental caries represents one of the most prevalent diseases affecting humankind, particularly among adolescent populations. RGB images offer a convenient and cost-effective method for dental caries detection. However, the image data captured may suffer from blurriness, which, together with label errors introduced during manual annotations, can degrade the performance of the model learned for dental caries detection. To address this problem, we propose the Multi-Category Fusion Contrastive Learning with Core Data Selection (M3C) to improve the predictive performance of dental caries classification models. Instead of fine-tuning the backbone network structure, M3C focuses on improving the robustness of model to label errors from a novel perspective by identifying core data that is highly relevant to the dental caries category. We analyzed and validated that M3C has better robustness in dental caries detection from model architecture representation, theoretical analysis, and mutual information computation. Specifically, M3C quantifies the average mutual information between dental caries images and dental caries category centers based on Jensen-Shannon Divergence (JSD), which is then used for selecting the core data to mitigate the impact of label errors on model performance. Furthermore, we design inter-category contrastive learning to enhance the performance of the model in distinguishing the categories of dental caries by improving the feature representation for samples of different categories. With theoretical justification, we jointly optimized model training using prediction loss and confusion contrastive loss. Extensive experiments demonstrate that M3C significantly surpasses comparative data selection methods in dental caries detection on dental caries RGB image datasets. More excitingly, M3C achieves superior predictive performance using only 50% of the core data compared to state-of-the-art dental caries detection methods using the entire dataset. Our code is

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Mechanical properties of individual core-shell-structured Sn O2@C nanofibers investigated by atomic force microscopy and finite element method

引用

Science China(Technological Sciences) 2018年第8期61卷 1144-1149页

作者： LIU Xing LI KeFeng DUAN XiaoLu HUANG YuTing LI Shuai LIU YiLin XU Fu LI Zheng ZHANG Ping DING YanHuai Institute of Rheological Mechanics Xiangtan University School of Science Harbin Institute of Technology at Shenzhen Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University

Although SnO_2-based nanomaterials used to be considered as being extraordinarily versatile for application to nanosensors,microelectronic devices, lithium-ion batteries, supercapacitors and other devices, the functionalities of SnO_2-based nanomaterials are severely limited by their intrinsic vulnerabilities. Facile electrospinning was used to prepare SnO_2 nanofibers coated with a protective carbon layer. The mechanical properties of individual core-shell-structured SnO_2@C nanofibers were investigated by atomic force microscopy and the finite element method. The elastic moduli of the carbon-coated SnO_2 nanofibers remarkably increased, suggesting that coating SnO_2 nanofibers with carbon could be an effective method of improving their mechanical properties.

关键词： SnO2 nanofiber core-shell structure elastic modulus atomic force microscopy finite element method

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