检索结果-内蒙古大学图书馆

8th International Conference on Advanced Computing and Communication systems, ICACCS 2022

作者： Kumar, Swetha R Iniyal, U.S. Harshitha, V. Abinaya, M. Janani, J. Jayaprasanth, D. Psg College of Technology Department of Instrumentation and Control Systems Engineering Tamil Nadu Coimbatore India

ISBN: (纸本)9781665408165

In today's society, technological breakthroughs have led to the automation of most industries in order to ensure smooth operations and minimize human interaction. The automation has led to challenges in an important sector called Fault detection and diagnosis. Rather than univariate alerts, fault detection and diagnostics focus on abnormal situations, which is crucial for maintaining optimum operating conditions and anticipating chemical process hazards. Model-based and process history-based fault detection and diagnosis are the two types of fault detection and diagnosis, with the second being more commonly referred to as data-based. Model-based methods are often based on a fundamental grasp of the process's physics. Using a model-based approach, this paper tries to estimate and identify the types of problems in centrifugal pumps. The pump dynamics are estimated using a system identification approach in this paper. The outcomes of the model estimations are then summarized. Estimated and real values are compared while creating residues. Studies are carried out to look into the consequences in both faultless and faulty situations. © 2022 IEEE.

关键词： Fault detection

来源：评论

学校读者我要写书评

暂无评论

Evaluating the Performance of the OWC Satellite System Under Different Parameters Using the Optisystem Program

Evaluating the Performance of the OWC Satellite System Under...

引用

Conference of Recent Trends and Applications of Soft Computing in engineering, RTASCE 2024

作者： Abood, Layla H. Al-Hilali, Aqeel Ali Galeb, Basim Saber, Ali Ali Bashar, Mustafa Department of Control and Systems Engineering University of Technology Baghdad Iraq Medical Instrumentation Engineering Department Al-Farahidi University Baghdad Iraq Computer Technician Engineering Al Hikma University College Baghdad Iraq Cybersecurity Technology Engineering Department Al-Kitab University Kirkuk Iraq Medical Instrumentation Engineering Department Uruk University Baghdad Iraq

ISBN: (纸本)9783031828805

The potential of optical wireless communication (OWC) systems for high-speed data transfer, especially over extended distances, is being investigated more and more. However, problems including signal attenuation, dispersion, and noise pose a serious challenge to these systems’ effectiveness as transmission lengths increase. This research examines how an OWC system built using OptiSystem software is affected by different transmission lengths, ranging from 1000 to 3000 km. The results of the investigation show that the Quality Factor (QF) and the Bit Error Rate (BER) have a significant negative connection, with more signal distortion and attenuation occurring at greater distances. While rising noise power—due to attenuation and compensatory noise from optical amplifiers—further degrades signal quality by reducing the Signal-To-Noise Ratio (SNR) and Optical Signal-To-Noise Ratio (OSNR), the eye diagram's narrowing indicates increased pulse broadening and intersymbol interference. Furthermore, timing irregularities, as measured by RMS jitter and peak-to-peak jitter, became larger at greater distances, indicating the detrimental effects of attenuation on signal accuracy. The exponential increase in BER logarithm with distance highlights the increasing error rates. These results highlight the serious problems with long-distance transmission and the need for creative solutions. To further enhance the performance and dependability of high-speed OWC systems over long distances, future research should concentrate on creating sophisticated dispersion compensation algorithms, improving noise control tactics, and investigating adaptive modulation schemes. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Timing jitter

来源：评论

学校读者我要写书评

暂无评论

Selection of the Composition of the Included Generating Equipment Considering the Reliability Factor 6

Selection of the Composition of the Included Generating Equi...

引用

6th International Scientific Conference on Information, control, and Communication Technologies, ICCT 2022

作者： Andryushin, Alexander V. Neklyudov, Alexey V. Arakelyan, Edik K. Yagupova, Julia Y. Pashchenko, Fedor F. Dolbikova, Nina S. National Research University 'Moscow Power Engineering Institute' Department of Automated Control Systems for Thermal Processes Moscow Russia Laboratory of Intelligent Control and Simulation Systems V.A. Trapeznikov Institute of Control Sciences of Ras Moscow Russia

ISBN: (数字)9781665493673

ISBN: (纸本)9781665493673

At present, ensuring reliability is an integral part of maintaining the high efficiency of operation of electric power equipment. The reliability factor can be considered and considered at different stages of solving the problem of optimizing the operation of equipment for thermal power plants, this article will consider the stage of applying for choosing the composition of the main generating equipment, considering reliability. The method for choosing the composition of the main generating equipment, considering the reliability criterion, is described. A technique for calculating the reliability characteristics of equipment and taking them into account when a power plant enters the market is presented. The optimal distribution of the load and the choice of the composition of the equipment, considering the criterion of reliability, are analyzed using the example of different loads of power units. © 2022 IEEE.

关键词： Reliability

来源：评论

学校读者我要写书评

暂无评论

Identifying Lebesgue-sampled Continuous-time Impulse Response Models: A Kernel-based Approach*

引用

IFAC-PapersOnLine 2023年第2期56卷 4198-4203页

作者： Rodrigo A. González Koen Tiels Tom Oomen Control Systems Technology Section Department of Mechanical Engineering Eindhoven University of Technology The Netherlands Delft Center for Systems and Control Delft University of Technology The Netherlands

control applications are increasingly sampled non-equidistantly in time, including in motion control, networked control, resource-aware control, and event-triggered control. Some of these applications use measurement devices that sample equidistantly in the amplitude domain. The aim of this paper is to develop a non-parametric estimator of the impulse response of continuous-time systems based on such sampling strategy, known as Lebesgue-sampling. To this end, kernel methods are developed to formulate an algorithm that adequately takes into account the output intersample behavior, which ultimately leads to more accurate models and more efficient output sampling compared to the standard approach. The efficacy of this method is demonstrated through a mass-spring damper case study.

关键词： System identification continuous-time systems event-based sampling

来源：评论

学校读者我要写书评

暂无评论

High-Power LED Lamp Driver Modelling 7

High-Power LED Lamp Driver Modelling

引用

7th International Youth Conference on Radio Electronics, Electrical and Power engineering, REEPE 2025

作者： Chukhraev, Igor V. Sevastyanova, Marina A. Drach, Vladimir E. Torkunova, Julia V. Bauman Moscow State Technical University Computer Science and Control Department Moscow Russia Sochi State University Department of Innovative Engineering and Digital Technologies Sochi Russia Kazan State Power Engineering University Department of Information Technologies and Intelligent Systems Kazan Russia

ISBN: (纸本)9798331531836

The growing demand for energy-saving lamps highlights critical limitations in traditional LED secondary optics, which reduce energy efficiency and complicate heat dissipation - a key factor in LED lamp longevity. This study proposes an optimized circuit design for a 20-watt LED driver that addresses these issues. The proposed driver ensures effective LED control while improving thermal management and eliminating drawbacks of conventional designs. Key principles of modern LED lamp design and current challenges are identified. The electronic schematic of the high-power LED driver was simulated using LTSpice software in order to analyze and optimize the circuit's performance, resulting in a driver solution that enhances efficiency and reliability. © 2025 IEEE.

关键词： Energy efficiency

来源：评论

学校读者我要写书评

暂无评论

Design of a Tube Model Predictive controller for Pneumatic Muscle Actuators Servomechanism under Uncertainty 10

Design of a Tube Model Predictive Controller for Pneumatic M...

引用

10th International Conference on control, Instrumentation and Automation, ICCIA 2024

作者： Zibandehpoor, Mobina Rahmati, Fatemeh Delrobaei, Mehdi Nikoofard, Amirhossein K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Mechatronics Tehran Iran K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Systems and Control Tehran Iran

ISBN: (纸本)9798331509972

Pneumatic muscle actuators (PMAs) are efficient and versatile, mimicking natural muscle-Tendon systems. They are widely used in manufacturing, automotive, and aerospace industries due to their lightweight design, high force-To-weight ratio, and flexibility, making them suitable for delicate tasks and powerful exertions. Their application in industrial and biomechatronic systems highlights their potential to revolutionize automation and human-machine interaction. This research aimed to develop a PMA regulator using the Model Predictive control (MPC) framework. Researchers identified key PMA characteristics and defined attributes for the regulator, ensuring accurate signal tracking, effective uncertainty handling, and real-Time operation. The initial stages involved implementing a proportional-integral-derived (PID) controller, and by integrating a PID block with a linear MPC block, a tube MPC controller was developed to enhance performance. The controllers' responses were tested in noisy environments using a low-pass filter for evaluation. The tube MPC controller demonstrated optimal control, robustness, and expertise in managing uncertainties, making it a reliable choice for system control. © 2024 IEEE.

关键词： Model predictive control

来源：评论

学校读者我要写书评

暂无评论

A Multi-Robot Allocation Scheme for Coverage control Applications with Multiple Areas of Interest

A Multi-Robot Allocation Scheme for Coverage Control Applica...

引用

International Conference on control, Decision and Information Technologies (CoDIT)

作者： Rachael N. Duca Marvin K. Bugeja Department of Systems and Control Engineering University of Malta

Coverage control with a multi-robot system requires the robot team to be optimally distributed across some environment. This environment may have multiple, distinct areas of interest, each of which associated with a specific task that requires robots with particular capabilities. In such scenarios, the first problem to be solved is that of assigning each robot in the team to one of the importance areas, while accounting for the robots' capabilities and the task/area requirements. This paper investigates this problem and proposes a novel multi-robot task allocation (MRTA) scheme in the context of coverage control. More specifically, the proposed method employs integer linear programming (ILP) to solve the constrained robot-to-task allocation problem. The resulting algorithm allocates each robot in the heterogeneous team to one of the importance areas, subject to a number of realistic constraints such as the tasks' requirements, and the robots' capabilities and energy levels. Our approach introduces elements of fault tolerance and robustness to situational changes, since it can also be executed periodically during the coverage process, to reassign the robots in case of robot faults, changes in the tasks/areas, and other factors that alter the allocation solution. The proposed scheme also has the advantage of being separate from the coverage control algorithm, and therefore supports a modular framework. Finally, a set of realistic simulated scenarios are used to validate the task allocation scheme being proposed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The impact of information dissemination on vaccination in multiplex networks

引用

Science China(Information Sciences) 2022年第7期65卷 185-196页

作者： Xiao-Jie LI Cong LI Xiang LI Adaptive Networks and Control Lab Department of Electronic EngineeringFudan University Research Center of Smart Networks and Systems School of Information Science and EngineeringFudan University MOE Frontiers Center for Brain Science Institutes of Brain Science Fudan University

The impact of information dissemination on epidemic control is essentially subject to individual behaviors. Vaccination is one of the most effective strategies against the epidemic spread, whose correlation with the information dissemination should be better understood. To this end, we propose an evolutionary vaccination game model in multiplex networks by integrating an information-epidemic spreading process into the vaccination dynamics, and explore how information dissemination influences vaccination. The spreading process is described by a two-layer coupled susceptible-alert-infected-susceptible(SAIS) model, where the strength coefficient between two layers characterizes the tendency and intensity of information *** find that the impact of information dissemination on vaccination decision-making depends on not only the vaccination cost and network topology, but also the stage of the system evolution. For instance, in a two-layer BA scale-free network, information dissemination helps to improve vaccination density only at the early stage of the system evolution, as well as when the vaccination cost is smaller. A counter-intuitive conclusion that more information transmission cannot promote vaccination is obtained when the vaccination cost is larger. Moreover, we study the impact of the strength coefficient and individual sensitivity on the fraction of infected individuals and social cost, and unveil the role of information dissemination in controlling the epidemic.

关键词： evolutionary game theory epidemic modeling network dynamics

来源：评论

学校读者我要写书评

暂无评论

Convolutional Neural networks Based Classification of Segmented Breast Ultrasound Images - A Comparative Preliminary Study 1

Convolutional Neural Networks Based Classification of Segmen...

引用

1st International Conference of Intelligent Methods, systems and Applications, IMSA 2023

作者： Gadallah, Mohammed Tarek Mohamed, Abd El-Naser A. Hefnawy, Alaa A. Zidan, Hassan E. El-Banby, Ghada M. Mohamed Badawy, Samir Computers and Systems Department Cairo Egypt Menoufia University Faculty of Electronic Engineering Electronics and Electrical Communications Engineering Department Menoufia Egypt Menoufia University Faculty of Electronic Engineering Industrial Electronics and Control Engineering Department Menoufia Egypt

ISBN: (纸本)9798350335569

Computer-aided diagnosis (CAD) helps physicians in tumors' identification into various biomedical tissues, breast is one. Through the last few years, image classification techniques based on deep learning (DL), have obtained noticeable success in differentiating breast ultrasound images automatically. More researches, concerned with breast cancer detection, are representing the output as a black and white segmented image (mask) or a selected region on the breast ultrasound image which will in role submitted to physicians to help them in making a better diagnosis decision. Our paper represents the second step. In this paper: ten pre-trained Convolutional neural networks (CNNs) classification models (ResNet18, ResNet50, ResNet101, InceptionV3, InceptionResNetV2, GoogleNet, MobilenetV2, SqueezeNet, DenseNet201, and Xception) have been utilized to classify segmented breast ultrasound images by transfer learning (TL). A dataset of 375 breast ultrasound images' masks (ground truths), divided as 125 normal, 125 benign, and 125 malignant, has been utilized in training and validation. A dataset of 255 breast ultrasound images' ground truths (masks), divided as 85 normal, 85 benign, and 85 malignant, has been utilized to evaluate the classification accuracy of each CNN model after TL process. Each CNN model's evaluation (over the 255 breast ultrasound images' masks) has represented different accuracy values evaluated. The best accuracy value was for ResNet50 with an accuracy of 97.25 %. The proposed classification scheme for segmented ultrasound images can be regarded as a step that may help in an automatic breast cancer diagnosis system. The produced trained ten CNNs models in this study (input image size: 128 by 128 by 3) are not in their optimum case but it can be considered as a start to any researcher interests in studying the classification of segmented binary images of breast cancers, the ten produced CNNs models are available to researchers at: https://***/

关键词： Image classification

来源：评论

学校读者我要写书评

暂无评论

The State of the Art Using Transfer Learning for Down Syndrome Recognition and Data Augmentation

SSRN

引用

SSRN 2024年

作者： Alkhalid, Farah F. The Control and Systems Engineering Department University of Technology- Iraq Baghdad Iraq

Problem: People with Down Syndrome must be served special because they have an intellectual disability with abnormality in memory and learning, so, creating a model for DS recognition may provide safe services to them. Methodology The transfer learning technique can improve high metrics with a small dataset, depending on previous knowledge. However, there is no available Down syndrome dataset, one can use to train, therefore, a new dataset is created by gathering images, and then expanding this dataset using Augmentation. Finally, using a suitable training model, in this work, Xception and Resnet models are used. Results By using Xception model and Resnet model, it concluded that when using Resnet model the accuracy = 95.93% and the loss function =0.16, while by using Xception model, the accuracy =96.57% and the loss function =0.12. © 2024, The Authors. All rights reserved.

关键词： Deep learning

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：