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Structural combinatorial of network information system of systems based on evolutionary optimization ***

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TechRxiv

TechRxiv 2020年

关键词： Genetic algorithms

Uncovering distinct public transport user profiles and the factors influencing the users’ intentions

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Journal of Urban Mobility 2025年 7卷

作者： Kriswardhana, Willy Ismael, Karzan Duleba, Szabolcs Esztergár-Kiss, Domokos Department of Transport Technology and Economics Faculty of Transportation Engineering and Vehicle Engineering Budapest University of Technology and Economics Műegyetem rkp. 3. Budapest H-1111 Hungary Department of Civil Engineering Faculty of Engineering Universitas Jember Jember 68121 Indonesia Department of City Planning Engineering Technical College of Engineering Sulaimani Polytechnic University Sulaimani 46001 Iraq Institute of Mathematics and Informatics University of Nyíregyháza Nyíregyháza Hungary HUN-REN Institute For Computer Science And Control (SZTAKI) Hungary

Given the escalating environmental challenges, it is clear that the approach to the usage of public transport (PT) must be reconsidered. Loyal PT users help attract other travelers through positive recommendations, this drives interest in exploring the relationships between service quality, satisfaction, and loyalty. Although these relationships in the PT context have been studied, there have been limited efforts to explore the variability of their effects. Therefore, this research explores how service quality, satisfaction, involvement, and prior knowledge influence the behavioral intentions to use PT across various traveler groups. The hypotheses are tested by using multi-group analysis in the structural equation modeling framework, and three user profiles are revealed by applying the latent class cluster analysis. The results indicate that involvement strongly influences the behavioral intentions, while satisfaction impacts the intentions solely when involvement acts as a moderator. Class-specific results indicate that younger females living outside the city center put greater emphasis on service quality improvements for their satisfaction and involvement in PT services compared to males and older individuals residing in the city center. Low-income students living in the city center are more likely to use PT if they feel confident how to use the service. The results are relevant for PT operators and related stakeholders in maintaining travelers’ loyalty. © 2025 The Author(s)

关键词： Heterogeneity Intention Involvement Public transport Satisfaction Service quality

Event-Triggered Dissipative control for Discrete-Time T-S Fuzzy Singular Systems Based on PQLF

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Event-Triggered Dissipative Control for Discrete-Time T-S Fu...

第三十八届中国控制会议

作者： Jiangrong Li Changzhu Zhang Juan Shi Jian Chang Qiang Xie College of Mathematics and Computer Science Yanan University Department of Control Science and Engineering Tongji University College of Engineering and Science Victoria University

This paper concerns with the problem of event-triggered dissipative control for discrete-time fuzzy singular systems. By adopting the fuzzy modeling and the idea of input delay method, the nonlinear singular system with eventtriggered control scheme is reformulated as a new piecewise fuzzy singular system with time delays. Based on the PQLF and some techniques on matrix convexification, an approach to the event-trigger dissipative piecewise state-feedback controller design is developed for the system concerned to be strictly（W, W, W）-γ-dissipative. In addition, the controller gain and the event triggering parameters have been derived by solving a series of linear matrix ***, a numerical example is provided to demonstrate the effectiveness of the proposed method.

关键词： Event-triggered singular systems PQLF

Diffusion-Induced Barrier Coverage of Multi-Layer Robotic Sensing Networks With Adaptive Scheduling Strategy

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International Journal of Robust and Nonlinear control 2025年

作者： Fan, Pengyang Zhai, Chao Zhang, Hehong School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China University of Geosciences Wuhan China Engineering Research Center of Intelligent Technology for Geo-exploration Ministry of Education China University of Geosciences Wuhan China College of Computer and Data Science Fuzhou University Fuzhou China

The timely identification of external intruders is crucial to the protection of concerned regions or targets against malicious attacks. Multi-agent barrier coverage provides a powerful framework for the effective deployment of sensor networks to monitor baleful intruders. This paper aims to address the barrier coverage problem of robotic sensing networks by developing a multi-layer coverage formulation. Inspired by gas diffusion, a group of robotic sensors are scattered to expand the coverage territory from a gathering spot. With the assistance of a divide-and-conquer scheme, a distributed control algorithm is proposed to partition the defence barrier into multiple curve segments and integrate it with intruder monitoring. By adaptively scheduling robotic sensors among multi-layer networks, it contributes to maximizing the joint detection probability of sensing networks against external intruders. Moreover, theoretical analysis is conducted to acquire sufficient conditions for elevating the detection quality of a multi-layer sensing network. Finally, numerical simulations and robotic experiments are carried out to demonstrate the effectiveness of the proposed barrier coverage approach. © 2025 John Wiley & Sons Ltd.

关键词： Distributed parameter control systems

Resonant beam communications with echo interference elimination

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arXiv 2021年

作者： Xiong, Mingliang Liu, Qingwen Wang, Gang Giannakis, Georgios B. Zhang, Sihai Zhu, Jinkang Huang, Chuan College of Electronics and Information Engineering Tongji University Shanghai201804 China State Key Lab of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States Key Lab of Wireless-Optical Communications University of Science and Technology of China Hefei Anhui230026 China School of Science and Engineering Chinese University of Hong Kong Shenzhen Guangdong518172 Hong Kong

Resonant beam communications (RBCom) is capable of providing wide bandwidth when using light as the carrier. Besides, the RBCom system possesses the characteristics of mobility, high signal-to-noise ratio (SNR), and multiplexing. Nevertheless, the channel of the RBCom system is distinct from other light communication technologies due to the echo interference issue. In this paper, we reveal the mechanism of the echo interference and propose the method to eliminate the interference. Moreover, we present an exemplary design based on frequency shifting and optical filtering, along with its mathematic model and performance analysis. The numerical evaluation shows that the channel capacity is greater than 15 bit/s/Hz. Copyright © 2021, The Authors. All rights reserved.

关键词： Internet of things

EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks

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arXiv 2021年

作者： Li, Zihan Li, Chen Yao, Yudong Zhang, Jinghua Rahaman, Md Mamunur Xu, Hao Kulwa, Frank Lu, Bolin Zhu, Xuemin Jiang, Tao Microscopic Image and Medical Image Analysis Group MBIE College Northeastern University Shenyang110169 China Department of Electrical and Computer Engineering Stevens Institute of Technology HobokenNJ07030 United States School of Biomedical Engineering Huazhong University of Science and Technology Wuhan430074 China Whiting School of Engineering Johns Hopkins University 500 W University Parkway MD21210 United States School of Control Engineering Chengdu University of Information Technology Chengdu610225 China

Environmental Microorganism Data Set Fifth Version (EMDS-5) is a microscopic image dataset including original Environmental Microorganism (EM) images and two sets of Ground Truth (GT) images. The GT image sets include a single-object GT image set and a multi-object GT image set. The EMDS-5 dataset has 21 types of EMs, each of which contains 20 original EM images, 20 single-object GT images and 20 multi-object GT images. EMDS-5 can realize to evaluate image preprocessing, image segmentation, feature extraction, image classification and image retrieval functions. In order to prove the effectiveness of EMDS-5, for each function, we select the most representative algorithms and price indicators for testing and evaluation. The image preprocessing functions contain two parts: image denoising and image edge detection. Image denoising uses nine kinds of filters to denoise 13 kinds of noises, respectively. In the aspect of edge detection, six edge detection operators are used to detect the edges of the images, and two evaluation indicators, peak-signal to noise ratio and mean structural similarity, are used for evaluation. Image segmentation includes single-object image segmentation and multi-object image segmentation. Six methods are used for single-object image segmentation, while k-means and U-net are used for multi-object *** extract nine features from the images in EMDS-5 and use the Support Vector Machine classifier for testing. In terms of image classification, we select the VGG16 feature to test different classifiers. We test two types of retrieval approaches: texture feature retrieval and deep learning feature retrieval. We select the last layer of features of these two deep learning networks as feature vectors. We use mean average precision as the evaluation index for retrieval. © 2021, CC BY.

关键词： Image segmentation

Privacy-preserving dynamic average consensus via state decomposition: Case study on multi-robot formation control

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arXiv 2020年

作者： Zhang, Kaixiang Li, Zhaojian Wang, Yongqiang Louati, Ali Chen, Jian Department of Mechanical Engineering Michigan State University East LansingMI48824 United States Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China

In this paper, the problem of privacy preservation in the continuous-time dynamic average consensus is addressed by using a state decomposition scheme. We first show that for a conventional dynamic average consensus algorithm, the external eavesdropper can successfully wiretap the reference signals of each local agent. Then, to provide privacy protection against the eavesdropper, a state decomposition scheme is proposed. The main idea of the proposed scheme is to decompose the original state of each agent into two sub-states. One of the two sub-states succeeds the role of the original state in inter-node interactions, while the other sub-state is invisible to other neighboring agents and only communicates with the first sub-state of the same agent. The new reference signals for the two sub-states can be constructed randomly under certain constraints, which ensures that the convergence properties of the consensus algorithm can be retained. Theoretical analysis shows that under the state decomposition scheme, the eavesdropper cannot discover the private reference signals of each agent with any guaranteed accuracy. Moreover, the proposed privacy-preserving consensus algorithm is successfully applied to solve a formation control problem for multiple nonholonomic mobile robots. Numerical simulation is provided to demonstrate the effectiveness of the proposed approach. Copyright © 2020, The Authors. All rights reserved.

关键词： Signal processing

A Reliable Calibration of HII Galaxies Hubble Diagram with Cosmic Chronometers and Artificial Neural Network

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arXiv 2022年

作者： Zhang, Jian-Chen Jiao, Kang Zhang, Tingting Zhang, Tong-Jie Yu, Bo Institute for Frontiers in Astronomy Astrophysics of Beijing Normal University Beijing100875 China Department of Astronomy Beijing Normal University Beijing100875 China College of Computer and Information Engineering Dezhou University Dezhou253023 China Institute for Astronomical Science Dezhou University Dezhou253023 China Dipartimento di Fisica e Astronomia "Augusto Righi" Alma Mater Studiorum Università di Bologna via Piero Gobetti 93/2 BolognaI-40129 Italy College of Command and Control Engineering PLA Army Engineering University Nanjing210000 China School of Mathematics and Big Data Dezhou University Dezhou253023 China Shandong Provincial Key Laboratory of Biophysics Institute of Biophysics Dezhou University Dezhou253023 China

The L − σ relation of HII galaxies (HIIGx) calibrated by a distance indicator is a reliable standard candle for measuring the Hubble constant H0. The most straightforward calibration technique anchors them with the first tier of distance ladders from the same galaxies. Recently another promising method that uses the cosmological model-independent Cosmic Chronometers (CC) as a calibrator has been proposed. We promote this technique by removing the assumptions about the cosmic flatness and using a non-parametric Artificial Neural Network for the data reconstruction process. We observe a correlation between the cosmic curvature density parameter and the slope of the L−σ relation, thereby improving the reliability of the calibration. Using the calibrated HIIGx Hubble diagram, we obtain a Type Ia Supernovae Hubble diagram free of the conventional assumption about H0. Finally we get a value of H0 = 65.9+3.0−2.9 km s−1 Mpc−1, which is compatible with latest Planck18 measurement. © 2022, CC BY.

关键词： Supernovae

Hiding and Trapping: A Deceptive Approach for Defending against Network Reconnaissance with Software-Defined Network

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Hiding and Trapping: A Deceptive Approach for Defending agai...

IEEE International Conference on Performance, Computing and Communications (IPCCC)

作者： Junchi Xing Mingliang Yang Haifeng Zhou Chunming Wu Wei Ruan College of Computer Science and Technology Zhejiang University Zhejiang Lab College of Control Science and Engineering Zhejiang University

Network reconnaissance aims at gathering as much information as possible before an attack is launched. Meanwhile, static host address configuration facilitates network reconnaissance. Currently, more sophisticated network reconnaissance has been emerged with the adaptive and cooperative features. To address this, in this paper, we present Hiding and Trapping (HaT), which is a deceptive approach to disrupt adversarial network reconnaissance with the help of the software-defined networking (SDN) paradigm. HaT is able to hide valuable hosts from attackers and to trap them into decoy nodes through strategic and holistic host address mutation according to characteristic of adversaries. We implement a prototype of HaT, and evaluate its performance by experiments. The experimental results show that HaT is capable to effectively disrupt adversarial network reconnaissance with better deceptive performance than the existing address randomization approach.

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