检索结果-内蒙古大学图书馆

Asian control Conference

作者： Shibei Xue Thien Nguyen Ian R. Petersen Department of Automation Key Laboratory of System Control and Information Processing Shanghai China Research School of Engineering Australian National University Canberra Australia

ISBN: (纸本)9781509015740;9781509015733

In this paper, we utilize a feedback strategy to stabilize a single qubit in a non-Markovian environment with a Lorentzian spectrum. The non-Markovian single qubit is represented in an augmented system model, where an ancillary system is introduced as the internal mode of the environment to generate Lorentzian noise. The density matrix of the single qubit can be estimated by using an augmented-system-based quantum stochastic master equation. Then a feedback controller can be driven by the estimates to stabilize the qubit in a target state. Simulations show the feedback strategy can provide effective control of the non-Markovian single qubit.

关键词： Mathematical model Couplings Feedback control Quantum computing White noise Colored noise Quantum entanglement

来源：评论

学校读者我要写书评

暂无评论

A Gridless Sparse Method for Super-Resolution of Harmonics

A Gridless Sparse Method for Super-Resolution of Harmonics

引用

European Signal processing Conference

作者： Zai Yang Ministry of Education Key Laboratory of System Control and Information Processing Shanghai China School of Automation Nanjing University of Science and Technology Nanjing China

As a special frequency estimation problem, harmonics estimation has applications in speech and audio processing, power systems, healthcare monitoring, etc. In this paper, we make a first attempt to propose a gridless sparse method for harmonics estimation exploiting the harmonics structure. The method uses the atomic norm with carefully designed atoms and is formulated as a convex optimization problem. Its performance is demonstrated via numerical simulations.

关键词： Harmonic analysis Power system harmonics Estimation Frequency estimation Standards Atomic measurements Signal resolution

来源：评论

学校读者我要写书评

暂无评论

Semantic keyword searchable proxy re-encryption for postquantum secure cloud storage

Semantic keyword searchable proxy re-encryption for postquan...

引用

作者： Yang, Yang Zheng, Xianghan Chang, Victor Tang, Chunming College of Mathematics and Computer Science Fuzhou University Fuzhou350108 China Fujian Province University Key Laboratory of Information Security of Network Systems Fuzhou University Fuzhou350108 China Key Laboratory of Information Security School of Mathematics and Information Science Guangzhou University Guangzhou510006 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China IBSS Xian Jiaotong-Liverpool University Suzhou215123 United Kingdom

With the advent of cloud computing, more and more consumers prefer to use the cloud services with the pay-as-you-consume mode. The cloud storage brings about great convenience to users, who store data in cloud and access to it using the smart devices anytime and anywhere. Consumers' information should be encrypted to guarantee the data privacy. Flexible searching on ciphertext is a critical challenge to be solved for effective data utilization. In this paper, we propose a novel semantic keyword searchable proxy re-encryption scheme for secure cloud storage. A highlight of this work is that the scheme is quantum attack resistant, while most of the available searchable encryption schemes are not. It supports not only exact keyword search but also synonym keyword search. Moreover, the data owner is capable to delegate his search right to another user using the proxy re-encryption mechanism. In the generation process of re-encryption key, the delegator and delegatee do not need to be interactive with each other. The scheme is also collusion resistant. Under the learning with errors hardness problem, this scheme is proved secure in standard model. Copyright © 2017 John Wiley & Sons, Ltd.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Hybrid Consensus-based Algorithm for Distributed Economic Dispatch Problem

引用

IFAC-PapersOnLine 2017年第1期50卷 177-182页

作者： Liu X.-K. Wang Y.-W. Yan H. Wang X. Hu X. School of Automation Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control (Huazhong University of Science and Technology) Ministry of Education China Key Laboratory of Advanced Control Optimization for Chemical Process of Ministry of Education China School of Information Science and Engineering East China University of Science and Technology 130 Meilong Road Shanghai 200237 China

Economic dispatch is one of the fundamental problems in the power system research. The existing algorithms are either discrete iterative algorithms or continuous-time dynamical algorithms. By virtue of the hybrid techniques, a hybrid consensus-based algorithm is proposed in this paper, which consists of a finite-time continuous-time algorithm and a discrete-time interacted scheme. Moreover, inspired by the cluster synchronization and the benefit of the projection operator, a supervised strategy is carried out to ensure that each generator unit will work within its power generation constraint. For a better understanding of the supervised hybrid distributed algorithm, the detailed pseudo-code is presented. Finally, a numerical example is given to illustrate the effectiveness of the algorithm. © 2017

关键词： consensus protocol distributed optimization economic dispatch hybrid system smart grid

来源：评论

学校读者我要写书评

暂无评论

Breast Cancer Diagnosis Using an Unsupervised Feature Extraction Algorithm Based on Deep Learning

Breast Cancer Diagnosis Using an Unsupervised Feature Extrac...

引用

Chinese control Conference

作者： Yawen Xiao Jun Wu Zongli Lin Xiaodong Zhao Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai China The Center for Bioinformatics and Computational Biology East China Normal University Shanghai China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA U.S.A School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China

Breast cancer is the most often detected cancer in women. At the same time, it is one of the most curable types of cancer if diagnosed early. With the development of the detection technology, a growing amount of clinical data and high-dimensional features can be used for breast cancer diagnosis. The high-dimensional data contributes to advances in the diagnostic technology, but also incurs a large amount of computational redundancy. Thus, extracting important information and reducing the feature dimension is critical to effective prediction and an accurate treatment decision. However, the previous works for breast cancer diagnosis are mainly based on labeled data that is difficult to obtain. To address this issue, in this paper, we demonstrate a new scheme, which integrates a deep learning based unsupervised feature extraction algorithm, the stacked auto-encoders, with a support vector machine model (SAE-SVM), for breast cancer diagnosis. The stacked auto-encoders with the greedy layer-wise pre-training and an improved momentum update algorithm is applied to capture essential information and extract necessary features of the original data. Then, a support vector machine model is employed to classify the samples with new features into malignant or benign tumors. The proposed method was tested on the Wisconsin Diagnostic Breast Cancer data set. The performance is evaluated using various measures and compared with the previously published results. The comparison results show that the proposed SAE-SVM method improves the accuracy to 98.25% and outperforms the other methods. The deep learning based unsupervised feature extraction significantly improves the performance of classification and provides a promising approach to breast cancer diagnosis.

关键词： Breast cancer Feature extraction Machine learning Support vector machines Electronic mail Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Real-time road traffic state prediction based on ARIMA and Kalman filter

引用

Frontiers of information Technology & Electronic Engineering 2017年第2期18卷 287-302页

作者： Dong-wei XU Yong-dong WANG Li-min JIA Yong QIN Hong-hui DONG College of Information Engineering Zhejiang University of Technology Hangzhou 310023 China United Key Laboratory of Embedded System of Zhejiang Province Hangzhou 310023 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University 100044 China

The realization of road traffic prediction not only provides real-time and effective information for travelers, but also helps them select the optimal route to reduce travel time. Road traffic prediction offers traffic guidance for travelers and relieves traffic jams. In this paper, a real-time road traffic state prediction based on autoregressive integrated moving average （ARIMA） and the Kalman filter is proposed. First, an ARIMA model of road traffic data in a time series is built on the basis of historical road traffic data. Second, this ARIMA model is combined with the Kalman filter to construct a road traffic state prediction algorithm, which can acquire the state, measurement, and updating equations of the Kalman filter. Third, the optimal parameters of the algorithm are discussed on the basis of historical road traffic data. Finally, four road segments in Beijing are adopted for case studies. Experimental results show that the real-time road traffic state prediction based on ARIMA and the Kalman filter is feasible and can achieve high accuracy.

关键词： Autoregressive integrated moving average （ARIMA） model Kalman filter Road traffic state Real-time Prediction

来源：评论

学校读者我要写书评

暂无评论

Relative Tempo of Consensus Dynamics on Multiplex Networks

引用

IFAC-PapersOnLine 2017年第1期50卷 5184-5189页

作者： Shao H. Xi Y. Mesbahi M. Li D. Xu Y. Gan Z. Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China William E. Boeing Department of Aeronautics and Astronautics University of Washington Seattle WA 98195-2400 United States ENN Science & Technology Development Co. Ltd Heibei 065001 China

In this paper, we examine relative tempo of multiplex consensus networks. We explore the monotonicity property of tempo vector of multiplex networks influenced by external inputs, which provides a distributed data-driven approach to eliminate the external influence exerted on the multiplex consensus network. In addition, we show via simulation studies that the interlayer topology can predict the tempo vector of a multiplex consensus network where only a single-layer is influenced by external input. © 2017

关键词： consensus data-driven analysis multiplex networks Relative tempo

来源：评论

学校读者我要写书评

暂无评论

Effects of incident energy and angle on carbon cluster ions implantation on silicon substrate:a molecular dynamics study

引用

Journal of Semiconductors 2017年第9期38卷 8-13页

作者： Ye Wei Shengbo Sang Bing Zhou Xiao Deng Jing Chai Jianlong Ji Yang Ge Yuanliang Huo Wendong Zhang Micro-Nano System Research Center Key Laboratory of Advanced Transducers and Intelligent Control SystemCollege of Information EngineeringTaiyuan University of TechnologyTaiyuan 030024China Research Institute of Surface Engineering Taiyuan University of TechnologyTaiyuan 030024China College of Physics and Optoelectronics Taiyuan University of TechnologyTaiyuan 030024China

Carbon cluster ion implantation is an important technique in fabricating functional devices at mi- cro/nanoscale. In this work, a numerical model is constructed for implantation and implemented with a cutting- edge molecular dynamics method. A series of simulations with varying incident energies and incident angles is performed for incidence on silicon substrate and correlated effects are compared in detail. Meanwhile, the behav- ior of the cluster during implantation is also examined under elevated temperatures. By mapping the nanoscopic morphology with variable parameters, numerical formalism is proposed to explain the different impacts on phrase transition and surface pattern formation. Particularly, implantation efficiency （IE） is computed and further used to evaluate the performance of the overall process. The calculated results could be properly adopted as the theoretical basis for designing nano-structures and adjusting devices＇ properties.

关键词： implantation low incident energies irradiation molecular dynamics

来源：评论

学校读者我要写书评

暂无评论

Image classification algorithm based on LTS-HD multi instance multi label RBF 12

Image classification algorithm based on LTS-HD multi instanc...

引用

12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017

作者： Min, Jie Zhang, Hong Wuhan University of Science and Technology Institute of Computer Science and Technology Wuhan China Wuhan University of Science and Technology Hubei Prov. Key Laboratory of Intelligent Information Processing and Real Time Industrial System Wuhan China

ISBN: (纸本)9781538621035

In order to improve the accuracy of image classification and the robustness of the algorithm, this paper proposes a Image classification algorithm based on LTS-HD(Least Trimmed Square Hausdorff) multi instance multi label RBF. The image classification algorithm based on the traditional Hausdorff distance has poor stability, and the classification results are quite different. Therefore, the image classification algorithm based on the LTS Hausdorff overcomes the problems existing in the traditional algorithm. In this paper, an improved K-Means clustering algorithm which combines Canopy algorithm and K-Means algorithm not only optimizes the initial clustering center of K-Means algorithm, but also reduces the time complexity of traditional K-Means algorithm. The experimental results show that the proposed algorithm can effectively resist the influence of noise and improve the accuracy of classification. © 2017 IEEE.

关键词： Image classification

来源：评论

学校读者我要写书评

暂无评论

Secure control for networked control systems under denial-of-service attacks

Secure control for networked control systems under denial-of...

引用

Asian control Conference

作者： Jiyang Gan Jing Wu Chengnian Long Shaoyuan Li Key Laboratory of System Control and Information Processing Ministry of Education Shanghai P.R. China Department of Automation Shanghai Jiao Tong University

ISBN: (纸本)9781509015740;9781509015733

In this paper, we consider the security issues for networked control systems (NCSs) under Denial-of-Service (DoS) attacks, where the attacker can jam or compromise the control signal packets to disrupt systems' normal function. We propose a novel power grids DoS attack model based on Stackelberg game, where the controller and the attacker are the two players and choose their strategies sequentially. We study the defending-attacking process and characterize properties of DoS attacks detailedly. Moreover, optimal problems are built for both attacker and defender to maximize their own profits. Through the modified Pontryagin minimum principle and the Shelling point theory, we propose a game-theoretic control law and establish necessary conditions and sufficient conditions for the optimal solution to the problem. Finally, the control schemes are compared with tradition state-feedback controller in simulations and results show that our approach is effective.

关键词： Games Generators Power grids Actuators Mathematical model Jamming

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：