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2012 International Conference on Modelling,Identification and Control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Xi Chen Wei Wang Wei Li Institute of System engineering Huazhong University of Science & TechnologyImage Processing and Int Candidate for Master of theInstitute of System engineering Huazhong University of Science &Technolog Department of Control Science &Engineering Image Processing and Intelligent Control Key Laboratory o

ISBN: (纸本)9781467315241

The overview presents the development and application of Hierarchical Temporal Memory (HTM).HTM is a new machine learning method which was proposed by Jeff Hawkins in *** is a biologically inspired cognitive method based on the principle of how human brain *** method invites hierarchical structure and proposes a memory-prediction framework, thus making it able to predict what will happen in the near *** overview mainly introduces the developing process of HTM, as well as its principle, characteristics, advantages and applications in vision, image processing and robots movement, some potential applications by using HTM , such as thinking process, are also put forward.

关键词： hierarchical Bayesian network spatial-temporal memory-prediction temporal sequence pattern recognition

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Attention-stacking adaptive fuzzy neural networks for autism diagnosis

Attention-stacking adaptive fuzzy neural networks for autism...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Shuzhan Zhang Lei Xiao Hui Huang Zhongyi Hu College of Computer Science and Artificial Intelligence Wenzhou University Institute of Intelligent Information System Wenzhou University Key Laboratory of Intelligent Image Processing and Analysis Wenzhou China

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

The current diagnostic methods for Autism Spectrum Disorder (ASD) based on Resting-State Functional Magnetic Resonance Imaging (rs-fMRI) face two significant challenges. Firstly, the functional connectivity networks (FCNs) of the brain are subject to uncertainty due to noise interference during the rs-fMRI acquisition process. Secondly, variations in equipment parameters across different imaging sites lead to diverse distributions of collected features. To address these issues, this paper introduces a novel Multi-Task Stacked Adaptive Fuzzy Neural Network (AT-STTSK) specifically designed for Autism Spectrum Disorder (ASD) classification. The proposed network seamlessly integrates a Multi-Output TSK (MO-TSK) fuzzy system, a Stacked Autoencoder (SAE), and a Transformer. This integration aims to reduce the impact of uncertainty factors, enhance the model's interpretability, and leverage the multi-head attention mechanisms to capture both local and global information, thus strengthening feature learning. Additionally, we explore the utilization of a Contrastive Learning (CL) strategy to further optimize the model. By incorporating these advancements, our AT-STTSK network offers a promising approach for improving the accuracy and reliability of ASD diagnosis based on rs-fMRI data. The validity of the method in this paper is verified on ABIDE dataset, and the result shows that the accuracy rate can reach 85.7% at most.

关键词： Representation learning Autism Accuracy Uncertainty Attention mechanisms Adaptive systems Noise Contrastive learning Transformers Fuzzy neural networks

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Automatic segmentation of brain tumors in magnetic resonance images

Automatic segmentation of brain tumors in magnetic resonance...

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IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2012. In Conj. with the 8th Int. Symp.on Medical Devices and Biosensors and the 7th Int. Symp. on Biomedical and Health Engineering

作者： Behzadfar, Neda Soltanian-Zadeh, Hamid Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran 14395-515 Iran Pooyandegan Rah Saadat Company Tehran 16756-965 Iran Image Analysis Laboratory Radiology Department HenryFord Healh System Detroit MI 48202 United States

ISBN: (纸本)9781457721779

Segmentation of tumors in magnetic resonance images (MRI) is an important task but is quite time consuming when performed manually by experts. Automating this process is challenging due to the high diversity in appearance of tumor tissue in different patients, and in many cases, similarity between tumor and normal tissues. This paper presents an automatic method for segmentation of brain tumors in MRI. We use images of patients with glioblastoma multiform tumors. After pre-processing and removal of the regions that do not have useful information (e.g., eyes and scalp), we create a projection image for determining the primary location of the tumor. This image provides an overall view of the tumor. Then, we grow the primary region to segment the entire tumor. This method is automatic and independent of the operator. It segments low contrast tumors without requiring their exacta tissue boundaries. The segmentation results obtained by the proposed approach are compared with those of an expert radiologist showing excellent correlations among them (R2=0.97). © 2012 IEEE.

关键词： Tumors

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(Semi-)Analytic Gaussian Mixture Filter

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IFAC Proceedings Volumes 2011年第1期44卷 10014-10020页

作者： Marco F. Huber Frederik Beutler Uwe D. Hanebeck Variable Image Acquisition and Processing Research Group Fraunhofer Institute of Optronics System Technologies and Image Exploitation (IOSB) Karlsruhe Germany Intelligent Sensor-Actuator-Systems Laboratory (ISAS) Institute for Anthropomatics Karlsruhe Institute of Technology (KIT) Karlsruhe Germany

Abstract In nonlinear filtering, special types of Gaussian mixture filters are a straightforward extension of Gaussian filters, where linearizing the system model is performed individually for each Gaussian component. In this paper, two novel types of linearization are combined with Gaussian mixture filters. The first linearization is called analytic stochastic linearization, where the linearization is performed analytically and exactly, i.e., without Taylor-series expansion or approximate sample-based density representation. In cases where a full analytical linearization is not possible, the second approach decomposes the nonlinear system into a set of nonlinear subsystems that are conditionally integrable in closed form. These approaches are more accurate than fully applying classical linearization.

关键词： State Estimation Nonlinear systems Stochastic systems Decomposition Methods

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Uncalibrated Path Planning in the image Space for the Fixed Camera Configuration

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自动化学报 2013年第6期39卷 759-769页

作者： LIANG Xin-Wu HUANG Xin-Han WANG Min 1. Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing of Ministry of Education of China Shanghai 200240 China Department of Control Science and Engineering Huazhong University of Science and Technology Key Laboratory of Image Pro- cessing and Intelligent Control of Ministry of Education of China Wuhan 430074 China

基于图象的视觉 servoing 能被用来高效地控制机器人操纵者的运动。什么时候起始并且然而，需要的配置是远的是由许多研究人员，指出了如此的一条控制途径能由于它的本地性质受不了集中和稳定性问题。由指定足够的图象特征轨道在图象被... 详细信息

基于图象的视觉 servoing 能被用来高效地控制机器人操纵者的运动。什么时候起始并且然而，需要的配置是远的是由许多研究人员，指出了如此的一条控制途径能由于它的本地性质受不了集中和稳定性问题。由指定足够的图象特征轨道在图象被列在后面，我们能利用基于图象的视觉 servoing 的本地集中和稳定性避免这些问题。因此，路径在图象空间计划是在最近的年里的机器人学的一个活跃研究话题。然而，几乎所有为 camera-in-hand 配置的盒子相关结果被建立。在这篇论文，我们建议 uncalibrated 为改正照相机配置的盒子的视觉路径计划算法。这个算法在射影的空格直接计算图象特征的轨道以便他们与僵硬天体运动兼容。由把旋转和翻译的射影的代表分解成他们的各自的正规形式，我们能容易插入内推他们在射影的空间的路径。然后，在图象飞机的图象特征的轨道能经由射影的路径被产生。这样，特征点的知识组织并且照相机内在的参数没被要求。验证建议算法的可行性和表演，基于 puma560 机器人，操纵者在这被给的模拟结果糊。

关键词：路径规划算法摄像机内参数图像空间配置稳定性问题图片校准视觉伺服

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Fault Diagnosis of SOFC Stack Based on Neural Network Algorithm

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Energy Procedia 2019年 158卷 1798-1803页

作者： Tao Xue Xiaolong Wu Yuanwu Xu Suwen Jing Zehua Li Jianhua Jiang Zhonghua Deng Xiaowei Fu Li Xi School of Automation Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science & Technology Wuhan 430074 China College of Computer Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan 430065 China

To realize the commercialization of SOFC, it must be ensured that it can work efficiently and stably. SOFC fault diagnosis becomes an essential part of the research. Due to the strong coupling of faults in the stack, this paper uses neural network algorithm to detect and diagnose faults. The simulation results verify that through the diagnosis of the test sample, the recognition rate of the test sample by the network is found to be 95%, which explains the neural network fault diagnosis model established in this paper on identifying the normal working state of the stack, the electrode stacking of the stack, and the gas leakage fault of the stack has good effectiveness and accuracy.

关键词： SOFC fault diagnosis neural network

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Consensus of Edge Dynamics on Directed Multi-agent systems

Consensus of Edge Dynamics on Directed Multi-agent Systems

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The 33th Chinese Control Conference第33届中国控制会议

作者： Xiaofan Wang Xiaoling Wang Housheng Su Department of Automation Shanghai Jiaotong Universityand Key Laboratory of System Control and Infor School of Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry o

ISBN: (纸本)9781479947249

Consensus in multi-agent systems means that reach an agreement among states of the whole ***,almost all the existed works on consensus have been in the description of the states of nodes,and fewer efforts have been devoted to the consensus taking place on the edges of multi-agent *** this paper,we focus on the dynamics proceed on the edges and establish a discrete-time and a continuous-time edge consensus protocols respectively for directed multi-agent *** mapping the edge topology to its line graph of the original nodal topology,we analyze the consensus of the edge protocols rigorously,and get that both the discrete-time protocol and the continuous-time protocol of directed multi-agent systems can guarantee that an edge consensus is asymptotically reached for all initial states when the original directed system is strongly *** simulations are provided to show the effectiveness of both the discrete-time and the continuous-time models.

关键词： Consensus Edge Protocol Multi-agent systems Line Graph

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An overview about pinning control of complex networks

An overview about pinning control of complex networks

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2012 International Conference on Modelling,Identification and Control(建模、辨别与控制国际会议 ICMIC 2012)

作者： Xi Chen Lan Zhang Wei Li Institute of System engineering Huazhong University of Science & TechnologyImage Processing and Int Candidate for Master of Systemengineering Huazhong University of Science & TechnologyImageProcessin Department of Control Science &Engineering Image Processing and Intelligent Control Key Laboratory o

ISBN: (纸本)9781467315241

Synchronization and pinning control of complex networks is to regulate the agents' behavior and improve network *** this article, we review some recent developments in pinning *** algorithms and pining strategies in different types of complex networks are presented and *** pinning control is also *** addition, the research extended to discrete-time case is *** some related research, the development in consensus and flocking of multi-agent system are introduced *** last, we give some ideas about pinning control in social networks.

关键词： Complex network pinning control adaptive control multi-agent systems

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The research of g-mixing and g-equicontinuity on the hyperspace of topological group action 12

The research of g-mixing and g-equicontinuity on the hypersp...

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12th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2020

作者： Zhan-Jiang, Ji Wei, Shi School of Information and Electronic Engineering Wuzhou University China Guangxi Colleges and Universities Key Lab. of Image Processing and Intelligent Information System Wuzhou University China Guangxi Colleges and Universities Key Laboratory of Professional Software Technology Wuzhou University China Party Committee Office Wuzhou Vocational College China

ISBN: (纸本)9781728170817

G-mixing and G-equicontinuity have an important significance in terms of theory and application. According to the definition of mixing and equicontinuity, we give the concept of G-mixing and G-equicontinuity in this paper. By inference, some conclusions of the hyperspace were extended to the hyperspace of topological group action. We have the following result: (1)Letbe the hyperspace ofandbe a pseudo equivariant map. All non-empty open set are invariable for. Ifis a G-mixing map, thenis a G-mixing map;(2)Letbe the hyperspace of andbe a equivariant map. Thenis a G-mild mixing map if and only ifis a G-mild mixing map;(3)Letbe the hyperspace ofandbe a equivariant map. Thenis a G-equicontinuity map if and only ifis a G-equicontinuity map. These results enriched the theory of the G-mixing and G-equicontinuity on the hyperspace of topological group action. © 2020 IEEE.

关键词： Mixing

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The Design of Multi-mode Examinees Identity Verification system for Colleges and Universities

The Design of Multi-mode Examinees Identity Verification Sys...

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2018 International Conference on Computer Modeling, Simulation and Algorithm（CMSA2018）

作者： Jia Chen Cong Chen Guangxi Colleges and Universities Key Laboratory of Image Processing and Intelligent Information System Wuzhou University Guangxi Colleges and Universities Key Laboratory of Professional Software Technology Wuzhou University

With the rapid development of information management in colleges and universities, traditional eyeobserving verification methods cannot satisfy today's requirement for examination management any more. Examinees' identities need to be verified more effectively and accurately. In recent years, biometric recognition has been becoming an essential component of effective person identification solutions because biometric identifiers intrinsically represent individuals' bodily identity. In this paper, we present a multi-mode verification system that not only takes advantage of biometric recognition to improve efficiency and accuracy, but also incorporates eye-observing verification to deal with the case when biometric recognition fails. Accordingly, an original portable verification device was designed to implement this multi-mode verification system. Our experiment shows that this verification system can meet the practical requirement of examination management in colleges and universities.

关键词： identity verification multi-mode verification comprehensive judgment original verification device

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