检索结果-内蒙古大学图书馆

Chinese control and Decision Conference, CCDC

作者： Pengyu Zhu Qi Lang Xiaodong Liu School of Control Science and Engineering Dalian University of Technology Dalian China School of Computer Science and Information Technology Northeast Normal University Changchun China

Word embedding models have been extensively used in document analysis. Even though many models have been created for embedding documents into vector spaces, their document clustering performance is not noticeably better than that of conventional bag-of-words representations. This paper proposes a document clustering called Word Embedding of Dimensionality Reduction (WERD) that can be used in conjunction with any word embedding method and can provide a semantic explanation of the clustering outcomes. Stopwords and a lexical reduction are first used to preprocess the documents. A pre-trained embedding model is used to embed documents. Then a dimension reduction is used to reduce the dimension of the embedded data to remove redundant features and create more compact document vectors used as document features for clustering. After clustering, the Non-Negative Matrix Factorization approach extracts the keywords from each cluster to produce semantic descriptions. Numerous experiments on two datasets show that WERD can produce superior clustering results.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Online Approach to Physical Watermark Design

arXiv

引用

arXiv 2019年

作者： Liu, Hanxiao Mo, Yilin Yan, Jiaqi Xie, Lihua Johansson, Karl H. School of Electrical and Electronic Engineering Nanyang Technological University Singapore Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden Department of Automation and BNRist Tsinghua University China School of Electrical and Electronic Engineering Nanyang Technological University Singapore Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden

This paper considers the problem of designing physical watermark signals in order to optimally detect possible replay attack in a linear time-invariant system, under the assumption that the system parameters are unknown and need to be identified online. We first provide a replay attack model, where an adversary replays the previous sensor data in order to fool the system. A physical watermarking scheme, which leverages a random control input as a watermark to detect the replay attack, is then introduced. The optimal watermark signal design problem is cast as an optimization problem, which aims to achieve the optimal trade-off between control performance and intrusion detection. An online watermarking design and system identification algorithm is provided to deal with systems with unknown parameters. We prove that the proposed algorithm converges to the optimal one and characterize the almost sure convergence rate. A numerical example and an industrial process example are provided to illustrate the effectiveness of the proposed strategy. Copyright © 2019, The Authors. All rights reserved.

关键词： Intrusion detection

来源：评论

学校读者我要写书评

暂无评论

Mtd-Yolov5:Improved Yolov5 Based Multi-Scale Feature Fusion Enhancement Strategy for Marine Target Detection

SSRN

引用

SSRN 2023年

作者： Lian-Suo, Wei Shen-Hao, Huang Long-Yu, Ma School of Information Engineering Suqian University Jiansu Suqian223800 China College of Computer & Control Engineering Qiqihar University Heilongjiang Qiqihar161006 China

The complex ocean environment leads to low contrast in underwater images and poor target visibility. In addition, the detected objects have multi-scale properties and clustering issues, making marine object detection a challenging task. In this paper, we propose MTD-YOLOv5, an object detection model that leverages a multi-scale feature fusion augmentation strategy to enhance detection performance. First, we enhance the image by applying gray equalization and color space transformation. Then, we design a novel feature extraction module named PCBR, which combines max-pooling and convolution layers to better distinguish objects from backgrounds. Furthermore, we propose a multi-scale receptive field hybrid pooling (MHP) module, which combines horizontal and vertical receptive fields to build long-range dependencies, thereby capturing hidden target information present in high level contexts.. The experimental results show that the accuracy of MTD-YOLOv5 proposed in this paper is 2.6% higher than that of the original YOLOv5. © 2023, The Authors. All rights reserved.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

A Novel Piezoelectric Micro-gripper's control Study

A Novel Piezoelectric Micro-gripper's Control Study

引用

International Conference on Internet Computing and Information Services (ICICIS)

作者： Xiangjin Zeng Xinhan Huang School of Computer Science and Engineering Wuhan Institute of Technology Wuhan China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

In this paper, we develop a micro-gripper that actuated by piezoelectric cantilever for the need of micro parts assembly. The displacement-voltage relationship model is given. For hysteresis of piezoelectric ceramic, we present a mix control algorithm, which employs the hysteresis offset control model based on Dahl and PID control model. The results of micro-assembly prove that the model is efficiency.

关键词： Hysteresis Grippers Structural beams Ceramics Feedforward neural networks Mathematical model Strain

来源：评论

学校读者我要写书评

暂无评论

Effects of statistical distribution on nonlinear correlation coefficient

Effects of statistical distribution on nonlinear correlation...

引用

IEEE Instrumentation and Measurement Technology Conference

作者： Zhiyuan Shen Qiang Wang Yi Shen School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Department of Control Science and Engineering Harbin Institute of Technology Harbin China

Nonlinear Correlation Coefficient (NCC) is proposed to quantitatively measure the nonlinear relation between the variables. Much attention paid on NCC leads to application being far from the basic research. In this paper, we propose a mathematical framework to systematically analyze the effects of statistical distribution on NCC. It is found that the arbitrary distortion on distribution leads to the decreasing of NCC and the sharing structure of the concerned distribution minimizes the NCC. Furthermore, considering the situation of a sequence of discrete observations, we provide a collection of rigorous logistic results to justify NCC is an increasing function of sequence length. The numerical examples on Lorenz and linear auto-regression system are used to illustrate proposed results suitably and effectively.

关键词： Correlation Statistical distributions Entropy Q measurement Mechanical variables measurement Time measurement Random variables

来源：评论

学校读者我要写书评

暂无评论

An Efficient Hybrid Red Panda Optimization-Similarity-Navigated Graph Neural Network with Blockchain Technology for Shared Electric Vehicle Charging 4

An Efficient Hybrid Red Panda Optimization-Similarity-Naviga...

引用

4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Sammy, F. Rajeshwari, S. Prashanth, G.K. Thirumalaimuthu, Babu Pokhariya, Hemant Singh Natrayan, L. Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh Vaddeswaram522 302 India Bangalore Institute of Technology Department of Mathematics Karnataka Bengaluru560004 India Siddaganga Institute Technology Department of Mca Karnataka Tumkur-572103 India St. Joseph's College of Engineering Department of Instrumentation and Control Engineering Tamil Nandu Chennai600119 India Graphic Era Deemed to be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India Saveetha School of Engineering Simats Department of Mechanical Engineering Tamil Nadu Chennai602105 India

ISBN: (纸本)9798331540364

Blockchain technology for shared electric vehicle (EV) charging makes use of a distributed ledger in handling different transactions which promotes authenticity in charging. However, this technology can be non-scalable at times which slows down the transaction rates as the scale increases in an organization and may also demand high computational as well as energy requirements which increases the inefficiency of the total system, the operating expenses of EV charging station, costs of energy utilized for charging, cost of maintenance and cost of station infrastructure may prove to be a weakness, impacting the feasibility of infrastructure deployment and upkeep expenses of the charging stations. To overcome these drawbacks, this paper proposes a hybrid method for blockchain technology with shared EV charging. The proposed approach combines the use of the Red Panda Optimization (RPO) with Similarity-Navigated Graph Neural Network (SNGNN). Hence, it is named as hybrid RPO-SNGNN approach. Reducing the operating cost of EV charging position and maximizes the security efficiency is the main aim of the proposed approach. To optimize scheduling and resource allocation by finding efficient paths by RPO and predict future demand and user behaviour patterns by SNGNN. By then, the proposed model has been put into practice on the MATLAB work platform and contrasted with other existing methods. The proposed technique outperforms all existing techniques, including Fuzzy-based Cross Hierarchical Reinforcement Q Learning (FCHRQL), Non-Dominated Sorting Genetic Algorithm-Long Short-Term Memory Network (NSGA-II-LSTMN), and Ant Colony Optimization-Proximal Policy Optimization (ACO-PPO). The proposed method shows the operating cost of $550 and the security rate is 97%. From the result, the proposed approach operating cost is low and the security rate is high when compared to the existing approaches. © 2024 IEEE.

关键词： Charging stations

来源：评论

学校读者我要写书评

暂无评论

Polyp Detection in Wireless Capsule Endoscopy Images by Using Region-Based Active Contour Model

Polyp Detection in Wireless Capsule Endoscopy Images by Usin...

引用

Iranian Conference of Biomedical engineering

作者： Hoda Eskandari Mahdi Alizadeh Alireza Talebpour Hamid Soltanian-Zadeh Department of Radiation Medicine Engineering Shahid Beheshti University Control and Intelligent Processing Center of Excellence (CIPE) School of Electrical and Computer Engineering University of Tehran

ISBN: (纸本)9781467331289

Wireless Capsule Endoscopy (WCE) is an almost new technology to capture images from the whole of Gastrointestinal (GI) tract, noninvasively. WCE is a very useful technology to detect various abnormalities like blood based abnormalities, ulcers and polyps. We note that polyps are growing tissues occur on the surface of tissue instead of inside an organ. Most polyps are not cancerous but if one becomes larger than a centimeter, it can turn into cancer by great chance. So, one of the most important advantages of WCE can be the early detection of polyps and cancers. In this paper we proposed using region-based Active Contour Method (ACM) and geometric feature for automatic detection of polyps. The results on a set of images show that the proposed method can achieve %90.91 accuracy, %100 sensitivity and %-83.33 specificity on our data set.

关键词： Polyp Wireless Capsule Endoscopy Active Countor Method

来源：评论

学校读者我要写书评

暂无评论

Research on an automatic design algorithm of the control rules for the mobile robot

Research on an automatic design algorithm of the control rul...

引用

IEEE International Conference on Automation and Logistics

作者： Caihong Li Fengying Wang Jianghong Wang Yibin Li School of Computer Science and Technology Shandong University of Technology Zibo Shandong China School of Control Science and Engineering Shandong University Jinan Shandong China

ISBN: (纸本)9781424425020

A new optimal local path planning method for the mobile robot is introduced. It is achieved through the optimal control rules which are formed automatically based on the Q-Learning (QL) method of the Reinforcement Learning (RL). The rules are executed as the reaction behaviors on the mobile robot at last. The state/action space which construct the rules structure are discretized according to the fuzzy logic. A Lookup_Q matrix M circQcirc is built to store Qcirc values of each state-action pair . According to the Boltzman Equation, an action of all available actions is chosen at the same state. The reinforcement signal is studied carefully with a non-uniform manner. All the pairs, which have the maximum circQ value in each column are selected out after QL. Then the optimal control rules are formed based on them after the merger. The algorithm can automatically control the formation of the rules and amends them expediently. At last the method performance is tested in different environments under the control of the rules.

关键词： Robots Distance measurement Robot kinematics Path planning Artificial neural networks Mobile robots Robot sensing systems

来源：评论

学校读者我要写书评

暂无评论

Energy-based Decentralized Excitation control of Nonlinear Differential Algebraic Power Systems

Energy-based Decentralized Excitation Control of Nonlinear D...

引用

International Conference on control and Automation (ICCA)

作者： Yanhong Liu Chunwen Li Yuzhen Wang Jianyong Li School of Electrical Engineering University of Zhengzhou Zhengzhou China Department of Automation Tsinghua University China School of Control Science and Engineering Shandong University China School of Computer and Communication Engineering Zhengzhou Institute of Light Industry China

Using the Hamiltonian function method, we investigate the excitation control of power systems presented by nonlinear differential algebraic equations. First, a novel Hamiltonian realization structure for nonlinear differential algebraic systems is applied to the power system. Then we propose a decentralized nonlinear excitation control scheme and analyze the stability of the closed loop system. This strategy takes advantage of the intrinsic properties including especially the internal power balance of the differential algebraic power system model. Simulation illustrates the effectiveness of the control strategy.

关键词： Nonlinear control systems control systems Power system control Power systems Power system stability Power system analysis computing Power system modeling Power system simulation Differential algebraic equations control system analysis

来源：评论

学校读者我要写书评

暂无评论

An improved extreme learning machine based on Variable-length Particle Swarm Optimization

An improved extreme learning machine based on Variable-lengt...

引用

IEEE International Conference on Robotics and Biomimetics

作者： Bingxia Xue Xin Ma Jason Gu Yibin Li School of Control Science and Engineering Shandong University Jinan Shandong China Department of Electrical and Computer Engineering Dalhousie University Halifax Nova Scotia Canada

ISBN: (纸本)9781479927456

Extreme Learning Machine (ELM) for Single-hidden Layer Feedforward Neural Network (SLFN) has been attracting attentions because of its faster learning speed and better generalization performance than those of the traditional gradient-based learning algorithms. However, it has been proven that generalization performance of ELM classifier depends critically on the number of hidden neurons and the random determination of the input weights and hidden biases. In this paper, we propose Variable-length Particle Swarm Optimization algorithm (VPSO) for ELM to automatically select the number of hidden neurons as well as corresponding input weights and hidden biases for maximizing ELM classifier's generalization performance. Experimental results have verified that the proposed VPSO-ELM scheme significantly improves the testing accuracy of classification problems.

关键词： Neurons Classification algorithms Accuracy Training Testing Sociology Statistics

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：