检索结果-内蒙古大学图书馆

Molecular Diagnostic and Using Deep Learning Techniques for Predict Functional Recovery of Patients Treated of Cardiovascular Disease

引用

IEEE Access 2019年 7卷 120315-120325页

作者： Ar Junejo Yin Shen Asif Ali Laghari Xiaobo Zhang Hao Luo School of Control Science and Engineering Harbin Institute of Technology Harbin China Department of Computer Science Sindh Madressatul Islam University Karachi Pakistan School of Automation Guandong University of Technology Guangzhou China

Today, with the development of industry and mechanized life style, the prevalence of the disease is rising steadily as well. Observing at the trend and lifecycle style, its predict that after ten years around 23.6 million people die because of Cardiovascular Disease (CVD). For that reason, aim to use Deep Learning Techniques (DLTs), to analysis stable CVD that would give valuable awareness to decrease misdiagnosis in the Robust Healthcare Industry (RHI). An objective of this paper is first, Molecular diagnosis (MD), and second using Deep Learning Techniques DLTs, to synthesis and characterize to accumulate (raw information) from CVD patients, those who admitted the emergency section between January (2018 to December 2019). We are using Artificial Neural Network (ANN), model characterize to predict CVD patients and configuration, Feature selection (FS), Mean Square Error (MSE), accuracy, sensitivity. The ANN accuracy is 98.4, K-nearest neighbor (KNN) accuracy is 98.01%, Naïve Bayes (NB), accuracy is 96.99%. Decision tree (DT), accuracy is 87.81%. Our robust data driven model explore the efficient accuracy rate to predict CVD patients. The ANN model in term of their efficient in disease analysis, and prognosis of the RHI.

关键词： Heart Blood Diseases Arteries Mathematical model Artificial neural networks

来源：评论

学校读者我要写书评

暂无评论

K-Means Clustering-based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition ⁎

引用

IFAC-PapersOnLine 2020年第2期53卷 10250-10254页

作者： Luefeng Chen Kuanlin Wang Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Wuhan 430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074 China Department of Electrical and Computer Engineering University of Alberta Edmonton AB T6R 2G7 Canada Tokyo Institute of Technology Yokohama 226-8502 Japan

Emotion is an important part of human interaction. Emotional recognition can greatly promote human-centered interaction techniques. On this basis, multimodal feature fusion can effectively improve the emotion recognition rate. However, in the multimodal feature fusion at the feature level, most of the methods do not consider the intrinsic relationship between different modes. Only the fusion of analysis and transformation of the feature matrices of different modes does not make better use of modal differences to improve the recognition rate. This problem led us to propose feature fusion method based on K-Means clustering and kernel canonical correlation analysis (KCCA). Clustering makes the classification of features not classified by mode, but by the degree of influence on emotional labels, thus positively affecting the results of KCCA. The experimental results obtained on the Savee database show that the proposed K-Means based KCCA improves overall classification performance and produces higher recognition rate than that of the state of art methods, such as the Informed Segmentation and Labeling Approach.

关键词： Emotion Recognition K-Means Clustering Kernel Canonical Correlation Analysis Feature Fusion

来源：评论

学校读者我要写书评

暂无评论

State Space Collapse in Resource Allocation for Demand Dispatch

State Space Collapse in Resource Allocation for Demand Dispa...

引用

IEEE Annual Conference on Decision and control

作者： Joel Mathias Robert Moye Sean Meyn Joseph Warrington Department of Electrical and Computer Engineering University of Florida Gainesville FL Automatic Control Laboratory Swiss Federal Institute of Technology (ETH) Zurich Zurich Switzerland

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

Demand dispatch is the science of extracting virtual energy storage through the automatic control of deferrable loads to provide balancing or regulation services to the grid, while maintaining consumer-end quality of *** control of a large collection of heterogeneous loads is in part a resource allocation problem, since different classes of loads are more valuable for different services. The goal of this paper is to unveil the structure of the optimal solution to the resource allocation problem, and investigate short-term market implications. It is found that the marginal cost for each load class evolves in a two-dimensional subspace: spanned by a co-state process and its derivative. The resource allocation problem is recast to construct a dynamic competitive equilibrium model, in which the consumer utility is the negative of the cost of deviation from ideal QoS. It is found that a competitive equilibrium exists with the equilibrium price equal to the negative of an optimal co-state process. Moreover, the equilibrium price is different than what would be obtained based on the standard assumption that the consumer's utility is a function of power consumption.

关键词： Quality of service Resource management Sociology Statistics Water heating Load modeling Optimal control

来源：评论

学校读者我要写书评

暂无评论

Visual area coverage with attitude-dependent camera footprints by particle harvesting

arXiv

引用

arXiv 2019年

作者： Mansouri, Sina Sharif Sopasakis, Pantelis Georgoulas, George Gustafsson, Thomas Nikolakopoulos, George Robotics Group Control Engineering Division Department of Computer Electrical and Space Engineering Luleå University of Technology LuleåSE-97187 Sweden Belfast Northern Ireland United Kingdom DataWise Data Engineering LLC

In aerial visual area coverage missions, the camera footprint changes over time based on the camera position and orientation - a fact that complicates the whole process of coverage and path planning. This article proposes a solution to the problem of visual coverage by filling the target area with a set of randomly distributed particles and harvesting them by camera footprints. This way, high coverage is obtained at a low computational cost. In this approach, the path planner considers six degrees of freedom (DoF) for the camera movement and commands thrust and attitude references to a lower-layer controller, while maximizing the covered area and coverage quality. The proposed method requires a priori information of the boundaries of the target area and can handle areas of very complex and highly non-convex geometry. The effectiveness of the approach is demonstrated in multiple simulations in terms of computational efficiency and coverage. Copyright © 2019, The Authors. All rights reserved.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

A Convex Approach to Frisch-Kalman Problem

A Convex Approach to Frisch-Kalman Problem

引用

IEEE Annual Conference on Decision and control

作者： Di Zhao Anders Rantzer Li Qiu Department of Electronic & Computer Engineering The Hong Kong University of Science and Technology Hong Kong China Department of Automatic Control and the Excellence Center ELLIIT Lund University Lund Sweden

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

This paper proposes a convex approach to the Frisch-Kalman problem that identifies the linear relations among variables from noisy observations. The problem was proposed by Ragnar Frisch in 1930s, and was promoted and further developed by Rudolf Kalman later in 1980s. It is essentially a rank minimization problem with convex constraints. Regarding this problem, analytical results and heuristic methods have been pursued over a half century. The proposed convex method in this paper is demonstrated to outperform several commonly adopted heuristics when the noise components are relatively small compared with the underlying data.

关键词： Minimization Covariance matrices Symmetric matrices Noise measurement Kalman filters Standards Temperature measurement

来源：评论

学校读者我要写书评

暂无评论

Cross-domain intelligent cooperative spectrum sensing algorithm based on Federated Learning and Swin-Transformer neural network

引用

engineering Applications of Artificial Intelligence 2025年 157卷

作者： Lingwei Xu Zhihe Gao Yufang Li T. Aaron Gulliver Department of Information Science and Technology Qingdao University of Science & Technology Qingdao 266061 China Key Laboratory of Industrial Internet of Things & Networked Control Ministry of Education Chongqing University of Posts and Telecommunications Chongqing 400065 China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang 441053 Hubei China Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis(Guangxi Minzu University) Nanning 530006 China Department of Electrical and Computer Engineering University of Victoria Victoria BC V8W 2Y2 Canada

The deployment of 6th Generation (6G) mobile networks will bring revolutionary changes to organizations and users through higher speeds, lower latency, and more intelligent network management. This will require more efficient spectrum sharing to improve network performance. Cognitive Radio (CR) can be employed to help achieve this goal. However, data collection at the fusion center for cooperative spectrum sensing (CSS) creates a risk of sensing user (SU) data leakage. In this paper, an intelligent CSS algorithm for mobile communication is proposed based on Federated Learning with a Swin-Transformer. First, to achieve the cross-domain process, a Continuous Wavelet Transform (CWT) is used with the normalized time series data to obtain a time-frequency spectrum map with joint time-frequency features. Second, Federated Learning is employed to realize distributed CSS to reduce sensing overhead, improve the security of sensing data, and eliminate the SU data isolation with traditional distributed CSS. Then, a new Swin-Transformer spectrum sensing is proposed for fusion learning of the time-frequency spectrum map. The fusion of Federated Learning and Swin-Transformer neural network provides cooperation with multiple SUs to achieve efficient spectrum sensing using the K -rank fusion criterion. Compared with the Convolutional Neural Network (CNN), ViT-Transformer, Graph Neural Network (GNN) and EfficientNet algorithms, the detection probability of the proposed algorithm has increased by 45 %, and the false alarm probability has decreased by 13 %.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Research and development of a stereo encoder of a FM-transmitter based on FPGA 1st

Research and development of a stereo encoder of a FM-transmi...

引用

1st International Conference on computer Science, engineering and Education Applications, ICCSEEA2018

作者： Artem, Volokyta Volodymyr, Shymkovych Ivan, Volokyta Vladyslav, Vasyliev Department of Computer Engineering National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 37 Prosp. Peremohy Kyiv Ukraine Department of Automation and Control in Technical Systems National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 37 Prosp. Peremohy Kyiv Ukraine Royal Caribbean International FL United States

ISBN: (纸本)9783319910079

This paper describes the research and development of the digital stereo encoder FM transmitter including its implementation on Field Programmable Gate Array (FPGA). The development of structural schemes of the digital part of the FM transmitter exciter, the stereo encoder and the digital synthesizer of the sine wave on the FPGA is also described. Paper includes a description of development of a digital synthesizer of a sinusoidal signal on a FPGA, which uses a tabular method to generate the sinusoidal wave, fourth part of its period is written to memory and the rest of the period is calculated using the first part. To generate five sinusoids of different frequencies in a stereo encoder, only one table in memory used. The simulation of the stereocoder on the FPGA in carried out in the specialized computer-Aided Design (CAD). The graphs of the left and right balance signals, the sum and difference of these signals, the signal of difference of the two sine waves which have their amplitude modulated and with a carrier signal of 19 kHz and the complex stereo signal are constructed. After receiving a complex stereo signal its frequency modulation is carried out with a carrier signal of 100 MHz, the FPGA chip outputs the frequency code of modulated signal. © Springer International Publishing AG, part of Springer Nature 2019.

关键词： Digital signal processing

来源：评论

学校读者我要写书评

暂无评论

Model Reference Adaptive Temperature control of a Rotary Cement Kiln

Model Reference Adaptive Temperature Control of a Rotary Cem...

引用

2018 IEEE PES Transmission and Distribution Conference and Exhibition - Latin America, T and D-LA

作者： Hernandez, Jose Salcedo Rivas-Perez, Raul Moriano, Juan Javier Sotomayor Department of Engineering Pontifical Catholic University of Peru Lima Peru Department of Automatic Control and Computer Science Havana Polytechnic University La Habana Cuba

ISBN: (纸本)9781538658444

A model reference adaptive controller (MRAC) for the effective control of the calcination temperature on a rotary cement kiln was developed. Using the tools of identification systems was obtained a mathematical model of the process under study, which presents ARMAX structure and fourth order. The simulation results of the control system developed showed their high effectiveness compared to conventional PID control. © 2018 IEEE.

关键词： Three term control systems

来源：评论

学校读者我要写书评

暂无评论

Semi-Supervised Cross-Modal Hashing Based on Label Prediction and Distance Preserving

Semi-Supervised Cross-Modal Hashing Based on Label Predictio...

引用

International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Xu Zhang Xin Tian Bing Yang Zuyu Zhang Yan Li Department of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing China National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data(PSRPC) China Academy of Electronics and Information Technology Department of Computer Engineering Inha University Incheon South Korea

Unlabeled data can be easily collected and help to exploit the correlations among different modalities. Existing works tried to explore label information contained in unlabeled data, however most of them suffer from difficulties in separating samples from different categories and have great interference. This paper proposes a novel method named semi-supervised cross-modal hashing based on label prediction and distance preserving(SS-LPDP). First, we use the deep neural networks to extract the feature of the labeled data among different modalities and get the feature distribution of each category. Second, the similarity of the data among different modalities is maximized based on the extracted feature and the label information. A common objective function is proposed with distance preserving constraint, which can effectively separate data into different categories and reduce interference in retrieval. An optimization algorithm is used to update the network parameters of feature learning in each modality, and the label information of unlabeled data are dynamically updated according to the changes of the feature distribution in each iteration. Experimental evaluation on Wiki, Pascal and NUS-WIDE datasets show that the proposed method outperforms recent methods when we set 25% samples without category labels.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Intelligent distributed monitoring and control system for lighting networks based on smart grid concept

Intelligent distributed monitoring and control system for li...

引用

2018 International Russian Automation Conference, RusAutoCon 2018

作者： Shnayder, D.A. Filimonova, A.A. Panda, S.K. Department of Automatics and Control South Ural State University Chelyabinsk Russia Department of Electrical Computer Engineering National University of Singapore Singapore City Singapore

ISBN: (纸本)9781538649381

The article suggests an approach to energy-saving control of street lighting based on the Smart Grid concept. An energy-saving effect is largely achieved through the round-the-clock luminary dimming. To determine the efficient dimming levels, the paper offers the automated system for model-predictive control of outdoor lighting. Luminary dimming modes are corrected depending on the natural lighting conditions and special requirements for lighting depending on the time of the day according to the actual road lighting and traffic intensity data. © 2018 IEEE.

关键词： Energy conservation

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：