检索结果-内蒙古大学图书馆

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Chen, Peng Chen, Xu Kang, Jiawei Hebei University of Technology School of Artificial Intelligence Control Engineering Technology Innovation Center of Hebei Province Tianjin China Hebei University of Technology School of Artificial Intelligence Tianjin China

ISBN: (纸本)9798350380286

In the ever-evolving landscape of global urban development, the paradigm of urban smartification stands out as a pivotal trend. Among its key components, smart streetlights have emerged as focal points, drawing increasing attention and substantial investments from a growing number of cities. These streetlights transcend their traditional role as mere illumination fixtures, evolving into sophisticated systems seamlessly integrated with cutting-edge technologies. The significance of advancing smart streetlight infrastructure extends beyond efficient road lighting;it is a catalyst for enhancing the sustainability and intelligence of cities. By leveraging various advanced technologies, smart streetlights offer multifaceted benefits, bolstering support and services for crucial urban functions such as traffic management, environmental protection, and security. Consequently, the research and development of smart streetlights have gained recognition, establishing itself as a pivotal direction in the broader landscape of urban smartification. This article focuses on a specific facet of this paradigm - the establishment of a smart management system for smart streetlights. Taking a proactive approach, it introduces a method involving the intelligent networking of devices to the cloud. This innovative approach not only paves the way for seamless integration but also presents a concrete and viable solution for the swift integration of Internet of Things (IoT) devices into the urban network. © 2024 IEEE.

关键词： data visualization edge-cloud integration internet of things smart city

来源：评论

学校读者我要写书评

暂无评论

An Improved YOLOv7 Model with SimAM for Wind Turbine Blade Defects Detection 8

An Improved YOLOv7 Model with SimAM for Wind Turbine Blade D...

引用

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Chen, Peng Lin, Bin Chen, Xu Hebei University of Technology School of Artificial Intelligence Control Engineering Technology Innovation Center of Hebei Province Tianjin China Hebei University of Technology School of Artificial Intelligence Tianjin China

ISBN: (纸本)9798350380286

Traditional wind turbine blade defects detection methods, mainly based on strain measurement, acoustic wave analyse, ultrasound, thermography phenomenon, and so on. However, these measure methods usually has common faults in low recognition accuracy and weak detection ability for small targets in complex backgrounds. In order to tackle with above critical problems, this paper proposes a high-accuracy model which is based on the YOLOv7 network. First, Offline data augmentation methods are used to boost the images numbers of dataset and simulate the defects of WTBs (Wind Turbine Blades) in complex background. Moreover, the size of bounding box for each images in datasets made by this paper is counted. The result is that the number of defects with small size in the dataset is the highest, according to the definition of small object given by COCO dataset. In addition, the effectiveness of online data augmentation approaches is analysed in ablation experiment. Moreover, to improve the YOLOv7 model detection accuracy in small size WTBs, the SimAM (Simple Attention module) is introduced to the neck portion of the YOLOv7 model. The experimental results demonstrate a significant improvement in various detection metrics with the improved YOLOv7 model, effectively reducing occasions of missed detections and false detections. © 2024 IEEE.

关键词： Wind turbine blades

来源：评论

学校读者我要写书评

暂无评论

Neighborhood Combination Search for Single-Machine Scheduling with Sequence-Dependent Setup Time

引用

Journal of Computer Science & technology 2024年第3期39卷 737-752页

作者：刘晓路徐宏云陈嘉铭苏宙行吕志鹏丁俊文 College of System Engineering National University of Defense TechnologyChangsha 410015China School of Artificial Intelligence Jianghan UniversityWuhan 430056China Xi’an Satellite Control Center Xi’an 710043China School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan 430074China CCF

In a local search algorithm,one of its most important features is the definition of its neighborhood which is crucial to the algorithm's *** this paper,we present an analysis of neighborhood combination search for solv-ing the single-machine scheduling problem with sequence-dependent setup time with the objective of minimizing total weighted tardiness(SMSWT).First,We propose a new neighborhood structure named Block Swap(B1)which can be con-sidered as an extension of the previously widely used Block Move(B2)neighborhood,and a fast incremental evaluation technique to enhance its evaluation ***,based on the Block Swap and Block Move neighborhoods,we present two kinds of neighborhood structures:neighborhood union(denoted by B1UB2)and token-ring search(denoted by B1→B2),both of which are combinations of B1 and ***,we incorporate the neighborhood union and token-ring search into two representative metaheuristic algorithms:the Iterated Local Search Algorithm(ILSnew)and the Hybrid Evolutionary Algorithm(HEA_(new))to investigate the performance of the neighborhood union and token-ring ***-sive experiments show the competitiveness of the token-ring search combination mechanism of the two *** on the 120 public benchmark instances,our HEA_(new)has a highly competitive performance in solution quality and computational time compared with both the exact algorithms and recent *** have also tested the HEA,new algorithm with the selected neighborhood combination search to deal with the 64 public benchmark instances of the single-machine scheduling problem with sequence-dependent setup *** is able to match the optimal or the best known results for all the 64 *** particular,the computational time for reaching the best well-known results for five chal-lenging instances is reduced by at least 61.25%.

关键词： single-machine scheduling sequence-dependent setup time neighborhood combination search token-ring search hybrid evolutionary algorithm

来源：评论

学校读者我要写书评

暂无评论

Deformation energy of tectonic coal under hydrostatic conditions:A new calculation model based on critical state theory

引用

International Journal of Mining Science and technology 2025年第1期35卷 87-100页

作者： Chenghao Wang Haisong Liu Yuanping Cheng Liang Wang Jingyu Jiang Artificial Intelligence Research Institute China University of Mining and TechnologyXuzhou 221116China National Engineering Research Center for Coal Gas Control China University of Mining and TechnologyXuzhou 221116China Intelligent Early Warning and Prevention Research Center for Coal Mine Disasters China University of Mining and TechnologyXuzhou 221116China School of Safety Engineering China University of Mining and TechnologyXuzhou 221116China

The deformation energy(Wd)of soil-like tectonic coal is crucial for investigating the mechanism of coal and gas *** coal has a significant nonlinear constitutive relationship,which makes traditional elastic-based models for computing *** by critical state soil mechanics,this study theoretically established a new calculation model of Wdsuitable for the coal with nonlinear deformation *** the new model,the relationship between energy and stress no longer follows the square law(observed in traditional linear elastic models)but exhibits a power function,with the theoretical value of the power exponent ranging between 1 and *** cyclic loading and unloading experiments were conducted on four groups of tectonic coal samples and one group of intact coal *** results indicated that the relationship between Wdand stress for both intact and tectonic coal follows a power *** exponents for intact and tectonic coal are close to 2 and 1,*** stress-strain curve of intact coal exhibits small deformation and linear characteristics,whereas the stress-strain curves of tectonic coal show large deformation and nonlinear *** study specifically investigates the role of coal viscosity in the cyclic loading/unloading *** downward bending in the unloading curves can be attributed to the time-dependent characteristics of coal,particularly its viscoelastic *** on experimental statistics,the calculation model of Wdwas further *** simplified model involves only one unknown parameter,which is the power exponent between Wdand *** measured Wdof the coal samples increases with the number of load *** phenomenon is attributed to coal's viscoelastic *** the same stress,the Wdof tectonic coal is an order of magnitude greater than that of intact *** calculation model of Wdproposed in this paper provides a new tool for studying the energy princip

关键词： Coal and gas outburst Tectonic coal Deformation energy Calculation model Critical state soil mechanics

来源：评论

学校读者我要写书评

暂无评论

Adaptive control of a Flexible Manipulator With Unknown Hysteresis and Intermittent Actuator Faults

引用

IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 148-158页

作者： Shouyan Chen Weitian He Zhijia Zhao Yun Feng Zhijie Liu Keum-Shik Hong School of Mechanical and Electrical Engineering Guangzhou University the School of Control Science and Engineering Shandong University IEEE the College of Electrical and Information Engineering Hunan University the National Engineering Research Center for Robot Visual Perception and Control Technology Hunan University the School of Intelligence Science and Technology University of Science and Technology Beijing (USTB) the Institute for Future the School of AutomationQingdao University the School of Mechanical Engineering Pusan National University

In this study, we consider a single-link flexible manipulator in the presence of an unknown Bouc-Wen type of hysteresis and intermittent actuator faults. First, an inverse hysteresis dynamics model is introduced, and then the control input is divided into an expected input and an error compensator. Second,a novel adaptive neural network-based control scheme is proposed to cancel the unknown input hysteresis. Subsequently,by modifying the adaptive laws and local control laws, a fault-tolerant control strategy is applied to address uncertain intermittent actuator faults in a flexible manipulator system. Through the direct Lyapunov theory, the proposed scheme allows the state errors to asymptotically converge to a specified interval. Finally,the effectiveness of the proposed scheme is verified through numerical simulations and experiments.

关键词： Adaptive control flexible manipulator intermittent actuator faults inverse hysteresis dynamics vibration control

来源：评论

学校读者我要写书评

暂无评论

Recursive Least Squares Identification With Variable-Direction Forgetting via Oblique Projection Decomposition

引用

IEEE/CAA Journal of Automatica Sinica 2022年第3期9卷 547-555页

作者： Kun Zhu Chengpu Yu Yiming Wan Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and AutomationHuazhong University of Science and Technology Beijing Institute of Technology Chongqing Innovation Center

In this paper,a new recursive least squares(RLS)identification algorithm with variable-direction forgetting(VDF)is proposed for multi-output *** objective is to enhance parameter estimation performance under non-persistent *** proposed algorithm performs oblique projection decomposition of the information matrix,such that forgetting is applied only to directions where new information is *** proofs show that even without persistent excitation,the information matrix remains lower and upper bounded,and the estimation error variance converges to be within a finite ***,detailed analysis is made to compare with a recently reported VDF algorithm that exploits eigenvalue decomposition(VDF-ED).It is revealed that under non-persistent excitation,part of the forgotten subspace in the VDF-ED algorithm could discount old information without receiving new data,which could produce a more ill-conditioned information matrix than our proposed *** simulation results demonstrate the efficacy and advantage of our proposed algorithm over this recent VDF-ED algorithm.

关键词： Non-persistent excitation oblique projection recursive least squares(RLS) variable-direction forgetting(VDF)

来源：评论

学校读者我要写书评

暂无评论

Multi-objective Optimization of Permanent Magnet Synchronous Generator Considering control Parameter and Structural Parameter 8

Multi-objective Optimization of Permanent Magnet Synchronous...

引用

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Liu, Weibin Li, Jie Wu, Shuoyang Hebei University of Technology School of Artificial Intelligence Control Engineering Technology Innovation Center of Hebei Province Tianjin China Hebei University of Technology School of Electrical Engineering Control Engineering Technology Innovation Center of Hebei Province Tianjin China

ISBN: (纸本)9798350380286

In order to improve the power generation performance of permanent magnet synchronous generator (PMSG), this paper proposes an optimization method that can simultaneously optimize the structural parameter and control parameter of PMSG. Firstly, iron dissipation resistance and current angle (the angle between the current synthesis vector is and the q axis) are introduced into the loss model, specific expressions for electromagnetic loss are derived on the basis of this loss model, and the PMSG control model based on current angle is constructed in simulation platform, and the effect of current angle on electromagnetic loss is analyzed. Secondly, a multi-objective optimization model with electromagnetic loss and total PMSG mass as the optimization objectives is established, and the control parameter current angle and seven structural parameters are used as the optimization variables, and the optimization variables are subjected to sensitivity analysis. Finally, the Kriging agent model was chosen to construct the mapping relationship between the optimization variables and the optimization objective to approximate the replacement of the finite element model, and the Pareto front was obtained by using NSGA-II, besides, the operational performances before and after PMSG optimization are compared by simulation experiments, and the results prove that the electromagnetic loss and the total mass of the motor are effectively reduced. © 2024 IEEE.

关键词： Permanent magnets

来源：评论

学校读者我要写书评

暂无评论

Prediction of NO_(x)concentration using modular long short-term memory neural network for municipal solid waste incineration

引用

Chinese Journal of Chemical Engineering 2023年第4期56卷 46-57页

作者： Haoshan Duan Xi Meng Jian Tang Junfei Qiao Faculty of Information Technology Beijing University of TechnologyBeijing 100124China Beijing Laboratory of Smart Environmental Protection Beijing 100124China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing 100124China Engineering Research Center of Intelligence Perception and Autonomous Control Ministry of Education Beijing 100124China

Air pollution control poses a major problem in the implementation of municipal solid waste incineration(MSWI).Accurate prediction of nitrogen oxides(NO_(x))concentration plays an important role in efficient NO_(x)emission *** this study,a modular long short-term memory(M-LSTM)network is developed to design an efficient prediction model for NO_(x)***,the fuzzy C means(FCM)algorithm is utilized to divide the task into several sub-tasks,aiming to realize the divide-and-conquer ability for complex ***,long short-term memory(LSTM)neural networks are applied to tackle corresponding sub-tasks,which can improve the prediction accuracy of the ***,a cooperative decision strategy is designed to guarantee the generalization performance during the testing or application ***,after being evaluated by a benchmark simulation,the proposed method is applied to a real MSWI *** the experimental results demonstrate the considerable prediction ability of the M-LSTM network.

关键词： Municipal solid waste incineration NO_(x)concentration prediction Modular neural network Model

来源：评论

学校读者我要写书评

暂无评论

Model Based Quadriceps Activation Strategy in Squat Training with Exhaustion Method Under Different Loads 8

Model Based Quadriceps Activation Strategy in Squat Training...

引用

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Xie, Cong Guo, Xin Qie, Botao Hebei University of Technology Control Engineering Technology Innovation Center of Hebei Province Hebei University of Technology School of Artificial Intelligence and Data Science Tianjin China

ISBN: (纸本)9798350380286

The aim of this study is to explore the muscle activation strategy of quadriceps muscle training in untrained sedentary people under different resistance training to exhaustion to provide control target for body state-based intelligence exercise equipment. Ten daily sedentary men with no training experience performed three sets of heavy load squats (single leg bench squat) in exhaustion mode (4RM) and one set of lower resistance squats (double leg squat with 10 KG garment) in exhaustion mode (18-26RM) to explore which and when the muscle fibers will be recruited as much as more. EMG signals from the dominant side of the vastus medialis), rectus femoris, and vastus lateralis in both squats were recorded, and the maximum RMS of 500 MS length in each movement was normalized to the maximum voluntary isometric contraction. Reliability analysis of the normalized EMG signal for each muscle between the three groups of heavy-load squats was as follows: Alpha (vastus medialis)= 0.885, Alpha (rectus femoris)=0.903, Alpha (vastus lateralis) = 0.925. Paired samples t-test of the three muscles under different resistance:p (vastus medialis) © 2024 IEEE.

关键词： Exercise equipment

来源：评论

学校读者我要写书评

暂无评论

Brain-inspired multimodal approach for effluent quality prediction using wastewater surface images and water quality data

引用

Frontiers of Environmental Science & Engineering 2024年第3期18卷 69-82页

作者： Junchen Li Sijie Lin Liang Zhang Yuheng Liu Yongzhen Peng Qing Hu School of Environment Harbin Institute of TechnologyHarbin 150090China School of Environmental Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Engineering Innovation Center of SUSTech(Beijing) Southern University of Science and TechnologyBeijing 100083China Faculty of Environment and Life Beijing University of TechnologyBeijing 100124China Engineering Research Center of Intelligence Perception and Autonomous Control Ministry of EducationBeijing 100124China

Efficiently predicting effluent quality through data-driven analysis presents a significant advancement for consistent wastewater treatment *** this study,we aimed to develop an integrated method for predicting effluent COD and NH3 *** employed a 200 L pilot-scale sequencing batch reactor(SBR)to gather multimodal data from urban sewage over 40 *** we collected data on critical parameters like COD,DO,pH,NH_(3),EC,ORP,SS,and water temperature,alongside wastewater surface images,resulting in a data set of approximately 40246 *** we proposed a brain-inspired image and temporal fusion model integrated with a CNN-LSTM network(BITF-CL)using this *** innovative model synergized sewage imagery with water quality data,enhancing prediction *** a result,the BITF-CL model reduced prediction error by over 23%compared to traditional methods and still performed comparably to conventional techniques even without using DO and SS sensor ***,this research presents a cost-effective and precise prediction system for sewage treatment,demonstrating the potential of brain-inspired models.

关键词： Wastewater treatment system Water quality prediction Data driven analysis Brain-inspired model Multimodal data Attention mechanism

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：