检索结果-内蒙古大学图书馆

Comparing Multi-Dimensional fNIRS Features Using Bayesian Optimization-Based Neural Networks for Mild Cognitive Impairment (MCI) Detection

引用

IEEE TRANSACTIONS ON NEURAL systems AND REHABILITATION ENGINEERING 2023年 31卷 1019-1029页

作者： Zhang, Chutian Yang, Hongjun Fan, Chen-Chen Chen, Sheng Fan, Chenyu Hou, Zeng-Guang Chen, Jingyao Peng, Liang Xiang, Kexin Wu, Yi Xie, Hongyu Macau Univ Sci & Technol Macau Inst Syst Engn Macau Peoples R China Chinese Acad Sci Inst Automation State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100049 Peoples R China Fudan Univ Huashan Hosp Dept Rehabil Med Shanghai 200040 Peoples R China Macau Univ Sci & Technol Inst Syst Engn CASIA MUST Joint Laboratoryof Intelligence Sci & T Macau Peoples R China

The diagnosis of mild cognitive impairment (MCI), a prodromal stage of Alzheimer's disease (AD), is essential for initiating timely treatment to delay the onset of AD. Previous studies have shown the potential of functional near-infrared spectroscopy (fNIRS) for diagnosing MCI. However, preprocessing fNIRS measurements requires extensive experience to identify poor-quality segments. Moreover, few studies have explored how proper multi-dimensional fNIRS features influence the classification results of the disease. Thus, this study outlined a streamlined fNIRS preprocessing method to process fNIRS measurements and compared multi-dimensional fNIRS features with neural networks in order to explore how temporal and spatial factors affect the classification of MCI and cognitive normality. More specifically, this study proposed using Bayesian optimization-based auto hyperparameter tuning neural networks to evaluate 1D channel-wise, 2D spatial, and 3D spatiotemporal features of fNIRS measurements for detecting MCI patients. The highest test accuracies of 70.83%, 76.92%, and 80.77% were achieved for 1D, 2D, and 3D features, respectively. Through extensive comparisons, the 3D time-point oxyhemoglobin feature was proven to be a more promising fNIRS feature for detecting MCI by using an fNIRS dataset of 127 participants. Furthermore, this study presented a potential approach for fNIRS data processing, and the designed models required no manual hyperparameter tuning, which promoted the general utilization of fNIRS modality with neural network-based classification to detect MCI.

关键词： Functional near-infrared spectroscopy Three-dimensional displays Feature extraction Convolutional neural networks Electroencephalography Task analysis Fans Convolutional neural networks (CNN) functional near-infrared spectroscopy (fNIRS) mild cognitive impairment (MCI) multi-dimensional feature evaluation multilayer perceptron (MLP)

来源：评论

学校读者我要写书评

暂无评论

Managing Water-Energy-Carbon Nexus for Urban Areas With Ambiguous Moment Information

引用

IEEE TRANSACTIONS ON POWER systems 2023年第5期38卷 4432-4446页

作者： Zhao, Pengfei Li, Shuangqi Hu, Paul Jen-Hwa Gu, Chenghong Cao, Zhidong Xiang, Yue Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Artificial Intelligence Beijing 100190 Peoples R China Univ Bath Dept Elect & Elect Engn Bath BA2 7AY England Beijing Inst Technol Natl Engn Lab Elect Vehicles Beijing 100081 Peoples R China Univ Utah David Eccles Sch Business Salt Lake City UT 84112 USA Sichuan Univ Coll Elect Engn Chengdu 610044 Sichuan Peoples R China

The rapid growth of electric load fuels urbanization but creates unsettling environmental challenges. In that regard, the energy system is a crucial part of consuming water and emitting greenhouse gases. To support reliable and economical energy system operations, with reduced water waste and carbon emissions, we design a viable co-optimization of water-energy-carbon nexus for an integrated energy system by adequately modelling essential interdependencies of power, gas, and water systems. A two-stage distributionally robust optimization method is proposed: the first-stage model minimizes the day-ahead reserve capacity scheduling for the next day, and the second-stage model enables real-time dispatch by considering the variability in renewable power generation. The carbon emissions by power generation and distribution are incorporated in both stages to ensure low-carbon operations. We use a two-stage moment-based distributionally robust approach to capture and represent the uncertainties in renewable generation. Instead of assuming a deterministic distribution, we characterize an ambiguity set with mean vectors and covariance matrices, which produces a family set of distributions. We conduct case studies using a modified IEEE 33-bus power system that includes and links a 20-node gas system and a 10-node water system. The comparative results indicate that the proposed co-optimization of water-energy-carbon nexus is superior than several benchmarks. By considering the close interdependencies of water, energy, and carbon, we create an optimal resource allocation scheme, which is capable of minimizing operation costs, lessening carbon emissions, and reducing water waste. The current research enables effective operation schemes for urban energy systems, illustrates a viable way to curb local environmental emissions, and increases water usage efficiency in the water-energy-carbon nexus.

关键词： Carbon reduction energy management renewable energy sources water-energy-carbon nexus system

来源：评论

学校读者我要写书评

暂无评论

Homophily Learning-Based Federated Intelligence: A Case Study on Industrial IoT Equipment Failure Prediction

引用

IEEE INTERNET OF THINGS JOURNAL 2023年第8期10卷 7356-7365页

作者： Zeng, Xingjie Yu, Zepei Zhang, Weishan Wang, Xiao Lu, Qinghua Wang, Tao Gu, Mu Tian, Yonglin Wang, Fei-Yue China Univ Petr East China Coll Comp Sci & Technol Qingdao 266580 Peoples R China Anhui Univ Sch Artificial Intelligence Hefei 266114 Peoples R China Qingdao Acad Intelligent Ind Qingdao 230031 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100080 Peoples R China CSIRO Data61 Sydney NSW 2070 Australia Beijing Aerosp Smart Mfg Technol Dev Co Ltd Beijing 100854 Peoples R China

Federated learning is an emerging distributed machine learning paradigm that can break through data silos and make use of data from different clients in a secure way. However, for deep neural networks in federated learning, the models on clients may learn the same pattern with different weight distributions despite the same data distribution of local data sets, which limits the performance of neural networks after weight fusions. Therefore, in this article, we propose a homophily learning-based federated intelligence (HLFI) approach, where hierarchical federated learning strategy and dynamic elimination learning strategy are designed to alleviate the problem. The experiments on equipment failure prediction show that the proposed approach can improve the failure prediction F1-score up to 9.32%. Our approach also has good generalization capabilities and can be applied in other federated learning methods to improve the model performance.

关键词： Failure prediction federated learning machine learning model generalization neural networks

来源：评论

学校读者我要写书评

暂无评论

Automation 5.0: The key to systems Intelligence and Industry 5.0

引用

IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1723-1727页

作者： Ljubo Vlacic Hailong Huang Mariagrazia Dotoli Yutong Wang Petros A.Ioannou Lili Fan Xingxia Wang Raffaele Carli Chen Lv Lingxi Li Xiaoxiang Na Qing-Long Han Fei-Yue Wang Institute of Intelligent and Integrated Systems and the School of Engineering and Built Environment Griffith UniversityNathanQLD 4111Australia Department of Aeronautical and Aviation Engineering The Hong Kong Polytechnic UniversityHong KongChina Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190and also with the Qingdao Academy of Intelligent IndustriesQingdao 266114China Department of Electrical Engineering-Systems University of Southern CaliforniaLos AngelesCA 90007 USA School of Automation Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049 Beijing Huairou Academy of Parallel Sensing Beijing 101499China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University IndianapolisIndianapolisIN 46202 USA Department of Engineering University of CambridgeCB21TN CambridgeU.K. School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Dazhou Artificial Intelligence Institute Dazhouand the Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China

AUTOMATION has come a long way since the early days of mechanization,i.e.,the process of working exclusively by hand or using animals to work with *** rise of steam engines and water wheels represented the first generation of industry,which is now called Industry Citation:***,***,***,***,***,***,***,***,***,***,***,Q.-***,and F.-***,“Automation 5.0:The key to systems intelligence and Industry 5.0,”IEEE/CAA ***,vol.11,no.8,pp.1723-1727,Aug.2024.

关键词： Automation machinery intelligence

来源：评论

学校读者我要写书评

暂无评论

A Hypertension Parallel Healthcare System Based on the ACP Approach

IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION

引用

IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION 2022年 6卷 724-728页

作者： Ge, Lin Lv, Bo Li, Na An, Shan Wang, Fei-Yue Macau Univ Sci & Technol Fac Innovat Engn Macau Peoples R China Sungohealth Inc Inst Life Sci Beijing 100055 Peoples R China Beihang Univ Sch Comp Sci & Engn Beijing 100091 Peoples R China Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing 100080 Peoples R China

Hypertension, the most common chronic disease, is an enormous risk factor for cardiovascular and cerebrovascular diseases and vascular events, which has become a significant global public health problem. However, the etiology and pathogenesis of hypertension are incredibly complex. In conventional medicine, the intervention and treatment focus on the blood pressure (BP) indicator. At the same time, the Traditional Chinese Medicine (TCM) theory provides diverse perspectives, more indicators, and optional treatment. In addition, the parallel intelligence theory based on the artificial systems, computational experiments, and parallel execution (ACP) approach is proper research and practical methodology for solving management and control problems for the treatment of hypertension. In this paper, we proposed a parallel healthcare system (PHS) framework to describe patients' conditions and diagnoses, trace the disease evolution progression, and analyze and optimize available therapeutic regimens. At last, we constructed a PHS for hypertension under TCM theory which applied to the treatment of actual volunteered patients and achieved positive effects.

关键词： Hypertension parallel intelligence theory ACP approach parallel healthcare system

来源：评论

学校读者我要写书评

暂无评论

Treatment of the New Era: Long-Term Ticagrelor Monotherapy for the Treatment of Patients with Type 2 Diabetes Mellitus following Percutaneous Coronary Intervention: A Meta-analysis

引用

DIABETES THERAPY 2023年第1期14卷 47-61页

作者： Wang, Hong Xie, Xiaoya Zu, Quannan Lu, Ming Chen, Rongfa Yang, Zhiren Gao, Yongqiang Tang, Zhangui Jinan Univ Guangzhou 510632 Guangdong Peoples R China Macau Univ Sci & Technol Macau Peoples R China Tianjin Univ Coll Management & Econ Tianjin 300072 Peoples R China Chinese Acad Sci Inst Automation State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Peoples Hosp Guangxi Zhuang Autonomous Reg Dept Cardiol Nanning 530021 Guangxi Peoples R China Huazhong Univ Sci & Technol Tongji Hosp Tongji Med Coll Dept Cardiol Wuhan Peoples R China

Introduction: Type 2 diabetes mellitus (T2DM) is a risk factor for the development of coronary artery disease (CAD). In patients with acute coronary syndrome (ACS), guidelines recommend a potent P2Y12 inhibitor in addition to aspirin. For those with complicated and advanced CAD requiring complex percutaneous coronary intervention (PCI), the risk for adverse ischemic events is even higher. Prolonged dual antiplatelet therapy (DAPT) use is controversial. A new antiplatelet regimen after PCI should be considered. In this analysis, we aimed to systematically show the impact of long-term ticagrelor monotherapy after a short course of DAPT use on the outcomes in patients with T2DM following ***: Electronic databases were searched for relevant publications. Studies that were based on patients with T2DM and that included patients with T2DM were selected on the basis of the inclusion and exclusion criteria. Statistical analysis was carried out with RevMan software. The data are presented as risk ratios (RR) with 95% confidence intervals (CI).Results: A total of 8621 patients were included in this analysis, whereby 4357 participants with T2DM were assigned to ticagrelor monotherapy and 4264 were assigned to DAPT. Our results showed long-term ticagrelor monotherapy after a short course of DAPT use to be associated with a significantly lower risk of major adverse cardiac events (RR 0.86, 95% CI 0.77-0.98;P = 0.02) and all-cause mortality (RR 0.77, 95% CI 0.60-0.98;P = 0.03). However, no significant difference was observed in cardiac death, myocardial infarction, stroke, stent thrombosis, or repeated revascularization. Ticagrelor monotherapy was associated with significantly lower risk of thrombolysis in myocardial infarction (TIMI) defined minor or major bleeding (RR 0.71, 95% CI 0.54-0.93;P = 0.01) compared with the DAPT ***: Long-term ticagrelor monotherapy after a short course of DAPT use showed better results in patients with T2DM following PCI. There

关键词： Percutaneous coronary intervention Type 2 diabetes mellitus Ticagrelor Dual antiplatelet therapy Monotherapy Bleeding

来源：评论

学校读者我要写书评

暂无评论

Adaptive Neural control of Nonlinear Nonstrict Feedback systems With Full-state Constraints: A Novel Nonlinear Mapping Method

引用

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING systems 2023年第2期34卷 999-1007页

作者： Zhang, Jiaming Niu, Ben Wang, Ding Wang, Huanqing Duan, Peiyong Zong, Guangdeng Shandong Normal Univ Sch Informat Sci & Engn Jinan 250014 Peoples R China Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Bohai Univ Sch Math & Phys Jinzhou 121000 Peoples R China Yantai Univ Sch Math & Informat Sci Yantai 264005 Peoples R China Qufu Normal Univ Sch Engn Rizhao 276826 Peoples R China

In this work, a neural-networks (NNs)-based adaptive asymptotic tracking control scheme is presented for a class of uncertain nonstrict feedback nonlinear systems with time-varying full-state constraints. First, we construct a novel exponentially decaying nonlinear mapping to map the constrained system states to new system states without constraints. Instead of the traditional barrier Lyapunov function methods, the feasible conditions which require the virtual control signals satisfying the constraint requirements are removed. By employing the Nussbaum design method to eliminate the effect of unknown control gains, the general assumption about the signs of the unknown control gains is relaxed. Then, the nonstrict feedback form of the system can be pulled back to the strict feedback form through the basic properties of radial basis function NNs. Simultaneously, the intermediate control signals and the desired controller are constructed by the backstepping process and the Nussbaum design method. The designed controller can ensure that all signals in the whole closed-loop system are bounded without the violation of the constraints and hold the asymptotic tracking performance. In the end, a practical example about a brush dc motor driving a one-link robot manipulator is given to illustrate the effectiveness of the proposed design scheme.

关键词： Nonlinear systems Artificial neural networks Design methodology Adaptive control Time-varying systems Fuzzy logic Backstepping Asymptotic tracking control neural networks (NN) nonlinear mapping (NM) nonstrict feedback structure time-varying full-state constraints uncertain nonlinear system

来源：评论

学校读者我要写书评

暂无评论

A fellow-following-principle based group model and its application to fish school analysis

引用

BIOINSPIRATION & BIOMIMETICS 2023年第1期18卷 016016-016016页

作者： Zhou, Ziye Liu, Jincun Pan, Jie Wang, Jian Yu, Junzhi Peking Univ Coll Engn Dept Adv Mfg & Robot State Key Lab Turbulence & Complex Syst Beijing 100871 Peoples R China China Agr Univ Coll Informat & Elect Engn Beijing 100083 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China

Group models based on simple rules are viewed as a bridge to clarifying animal group movements. The more similar a model to real-world observations, the closer it is to the essence of such movements. Inspired by the fish school, this study suggests a principle called fellow-following for group movements. More specifically, a simple-rules-based model was proposed and extended into a set of concrete rules, and two- and three-dimensional group models were established. The model results are intuitively similar to the fish school, and when the group size increases, the milling phase of both the model and fish school tends from unstable to stable. Further, we proposed a novel order parameter and a similarity measurement framework for group structures. The proposed model indicates the intuition similarity, consistency of dynamic characteristics, and static structure similarity with fish schools, which suggests that the principle of fellow-following may reveal the essence of fish school movements. Our work suggests a different approach for the self-organized formation of a swarm robotic system based on local information.

关键词： fish school milling collective model group similarity

来源：评论

学校读者我要写书评

暂无评论

Object Reconstruction Based on Attentive Recurrent Network from Single and Multiple Images

引用

NEURAL PROCESSING LETTERS 2021年第1期53卷 653-670页

作者： Gao, Zishu Li, En Wang, Zhe Yang, Guodong Lu, Jiwu Ouyang, Bo Xu, Dawei Liang, Zize Univ Chinese Acad Sci Beijing 100049 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Hunan Univ Coll Elect & Informat Engn Changsha 410082 Peoples R China

The application of traditional 3D reconstruction methods such as structure-from-motion and simultaneous localization and mapping are typically limited by illumination conditions, surface textures, and wide baseline viewpoints in the field of robotics. To solve this problem, many researchers have applied learning-based methods with convolutional neural network architectures. However, simply utilizing convolutional neural networks without taking other measures into account is computationally intensive, and the results are not satisfying. In this study, to obtain the most informative images for reconstruction, we introduce a residual block to a 2D encoder for improved feature extraction, and propose an attentive latent unit that makes it possible to select the most informative image being fed into the network rather than choosing one at random. The recurrent visual attentive network is injected into the auto-encoder network using reinforcement learning. The recurrent visual attentive network pays more attention to useful images, and the agent will quickly predict the 3D volume. This model is evaluated based on both single- and multi-view reconstructions. The experiment results show that the recurrent visual attentive network increases prediction performance in a way that is superior to other alternative methods, and our model has desirable capacity for generalization.

关键词： Object reconstruction Convolutional LSTM Visual attention Robotic application

来源：评论

学校读者我要写书评

暂无评论

Learning Pre-Grasp Manipulation of Flat Objects in Cluttered Environments using Sliding Primitives

Learning Pre-Grasp Manipulation of Flat Objects in Cluttered...

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Jiaxi Wu Haoran Wu Shanlin Zhong Quqin Sun Yinlin Li State Key Laboratory of Turbulence and Complex Systems Intelligent Biomimetic Design Lab College of Engineering Peking University Beijing China Department of Automation University of Science and Technology of China Heifei China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Science Beijing China Science and Technology on Thermal Energy and Power Laboratory Wuhan China

Flat objects with negligible thicknesses like books and disks are challenging to be grasped by the robot because of the width limit of the robot's gripper, especially when they are in cluttered environments. Pre-grasp manipulation is conducive to rearranging objects on the table and moving the flat objects to the table edge, making them graspable. In this paper, we formulate this task as Parameterized Action Markov Decision Process, and a novel method based on deep reinforcement learning is proposed to address this problem by introducing sliding primitives as actions. A weight-sharing policy network is utilized to predict the sliding primitive's parameters for each object, and a Q-network is adopted to select the acted object among all the candidates on the table. Meanwhile, via integrating a curriculum learning scheme, our method can be scaled to cluttered environments with more objects. In both simulation and real-world experiments, our method surpasses the existing methods and achieves pre-grasp manipulation with higher task success rates and fewer action steps. Without fine-tuning, it can be generalized to novel shapes and household objects with more than 85% success rates in the real world. Videos and supplementary materials are available at https://***/view/pre-grasp-sliding.

关键词：

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：