检索结果-内蒙古大学图书馆

Development of Industrial Equipment Diagnostics System Based on Modified Algorithms of Artificial Immune Systems and AMDEC Approach Using Schneider Electric Equipment

Development of Industrial Equipment Diagnostics System Based...

引用

International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

作者： Galina Samigulina Zarina Samigulina Lab. “Intellectual control systems and forecasting” Institute of Information and Computing Technologies Almaty Kazakhstan Faculty of Information Technologies Kazakh British Technical University Almaty Kazakhstan

ISBN: (数字)9781728145907

ISBN: (纸本)9781728145914

Modern industrial control systems for complex objects are created using the latest achievements in the microprocessor technology and based on a range of technical tools from leading manufacturers, such as: Honeywell, Siemens, Schneider Electric, etc. The automation of large industrial enterprises of oil and gas, metallurgy, aerospace and other industries is carried out taking into account the requirements of reliability, safety and efficiency of the equipment. An important factor is the timely analysis and diagnosis of control systems, since even minor, unpredictable equipment failures can lead to emergency situations, as well as to economic production losses. Distributed enterprise management systems are overloaded with data streams, most of which are archived and are not further analyzed. An effective solution to this problem is the integration and application of the latest achievements in the field of artificial intelligence (AI). In turn, the bio-inspired approach of artificial immune systems is rapidly developing, which has the following advantages: the ability to process a large amount of production data, the ability to process information in parallel, self-training, the presence of memory, and the ability to predict at the class boundaries. Since there are currently no universal artificial intelligence algorithms capable of equally efficient forecasting for various types of production data, it is effective to develop modified algorithms for artificial immune systems. The researches are devoted to the development of a diagnostic system for industrial equipment based on the AMDEC (l'Analyse des Modes de Défaillances, de leurs Effets et de leur Criticité) mode, failure and criticality analysis approach and modified AIS algorithms, using the industrial equipment from Schneider Electric as an example. The AMDEC approach identifies equipment weaknesses and is used to predict potential failures. The disadvantage of this method is its complexity. Extending the AMDEC

关键词：

来源：评论

学校读者我要写书评

暂无评论

Minimizing Prediction Time for Catheter-Associated Urinary Tract Infection Using Big Data Mining Model 2

Minimizing Prediction Time for Catheter-Associated Urinary T...

引用

2nd International Conference on Computer Applications and Information Security, ICCAIS 2019

作者： Baeissa, Omar Noaman, Amin Y. Ragab, Abdul Hamid M. Hagag, Asmaa Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia Infection Control Environmental Health King Abdullah Medical City Makkah Saudi Arabia

ISBN: (纸本)9781728101088

This paper focuses on minimizing prediction time for Catheter-Associated Urinary Tract Infection (CAUTI) as one of the main types of Healthcare Associated Infections (HAIs) through a big data analytics model. Big data raises the bar as a result of additional features. It is mainly characterized by tremendous amount of data that is composed of different forms. It also deals with the rapid data flow rate that is generated from multiple sources, and to top it off the quality of the data is questionable. Data mining (DM) approach consumes significantly less time, provides higher accuracy, and prevents personal subjective decisions. The paper evaluates seven data mining algorithms with real patients dataset. It includes more than 28,000 cases for a period of five years. The modeling process considers the latest definition of the Centers for Disease control and Prevention (CDC), published in January 2019. The model is evaluated through calculations of different assessment factors such as accuracy, computation speed, and precision (true positive and true negative). The research results show the best suitable algorithm is Naïve Bayes. It overcomes the other data mining techniques utilized in similar works. © 2019 IEEE.

关键词： Data Analytics

来源：评论

学校读者我要写书评

暂无评论

Semidefinite programming for manipulating acoustic traps in real time (SMART)

引用

Scientific Reports 2025年第1期15卷 1-26页

作者： Zehnter, Sebastian Endres, Kevin Kronbichler, Martin Andrade, Marco A. B. Funke, Felix Ament, Christoph Chair of Control Engineering University of Augsburg Augsburg 86159 Germany Chair of High-Performance Scientific Computing University of Augsburg Augsburg 86159 Germany Faculty of Mathematics Ruhr University Bochum Bochum 44801 Germany Institute of Physics University of São Paulo São Paulo 05508-090 Brazil

Sound waves can be used for trapping and manipulating objects immersed in liquids or air. However, most acoustic levitation techniques are limited to particles with diameters much smaller than the acoustic wavelength or require time-consuming optimisation-based methods that hinder the dynamic manipulation of objects. Here, we present an approach based on semidefinite programming to manipulate levitated objects in real time. To demonstrate this technique, a phased array consisting of 256 ultrasonic transducers operating at 40 kHz is used for rotating a non-spherical Rayleigh object or to translate Mie spheres along various trajectories. In contrast to previous optimisation-based approaches, the proposed method can determine the emission phases of each transducer in real time, strongly facilitating the implementation of a model-based closed-loop control in future acoustic levitation systems. This is a fundamental step for manipulating levitated objects precisely and at high speeds. © The Author(s) 2025.

关键词： Acoustic levitation Acoustic traps Block-coordinate minimisation Burer–Monteiro method Contactless handling Phase recovery Phase retrieval problem Real time Semidefinite programming Sound pressure field

来源：评论

学校读者我要写书评

暂无评论

Prediction of multi-parameters in the inverse heat conduction problems

Prediction of multi-parameters in the inverse heat conductio...

引用

2020 International Conference on Physics, Mechanics and Mathematical Science, PMMS 2020

作者： Abdelhamid, Talaat Chen, Rongliang Alam, Mahbub Shenzhen Institutes of Advanced Technology Chinese Academy of Science Shenzhen China Institute for Turbulence-Noise-Vibration Interaction and Control Shenzhen Graduate School Harbin Institute of Technology Shenzhen China Physics and Mathematical Engineering Department Faculty of Electronic Engineering Menoufiya University Menouf Egypt Shenzhen Key Laboratory for Exascale Engineering and Scientific Computing Shenzhen China

This paper studies the prediction of the spatial-dependent-heat transfer coefficient γ(x) and- heat flux q(x), using the modified conjugate gradient method (MCGM). The mathematical formulation of the problem well defined and the existence of the minimizer is investigated. We establish the sensitivity and adjoint equations for computing the gradient with respect to γ(x) and q(x). The proposed algorithm 4.1 is derived for reconstructing γ(x) and q(x) using the MCGM. The numerical experiments are examined to show the efficiency and accuracy of the proposed method. Finally, some conclusions and remarks are given. © Published under licence by IOP Publishing Ltd.

关键词： Conjugate gradient method

来源：评论

学校读者我要写书评

暂无评论

The development of pineapple leaf diseases classification using convolutionary neural network for mobile apps

引用

AIP Conference Proceedings 2024年第1期3135卷

作者： Muhammad Najmi Hasnol Mizam Sulaiman Mahzan Siti Fairuz Nurr Sadikan Mohd Ab Malek Md Shah Mohd Aliff Afira Sani College of Computing Informatics & Mathematic Universiti Teknologi MARA Melaka Malaysia. Faculty of Plantation & Agrotechnology Universiti Teknologi MARA Melaka Malaysia. Department of Law Universiti Teknologi MARA Melaka Malaysia. Department of Instrumentation and Control Engineering Universiti Kuala Lumpur Johore Malaysia.

Pineapple diseases are linked to worms, viruses, bacteria, and fungi. Insects including ants, scales, mealybugs, and souring beetles are some of the most prevalent pests that can harm the pineapple industry over time if early pineapple leaf disease detection is not made There are many smallholders especially in the rural area who lack of latest technology, knowledge, and experience about pineapple disease treatment and management. Thus, lack of a precise diagnosis method prevents them from understanding the disease and creates an effective control for its spread. This issue further impacts the effectiveness of pineapple production, subsequently affecting their income and the country’s, as well as jeopardizing national food security. This study presents an innovative approach aimed at enhancing early detection and management of pineapple leaf diseases by integrating a Convolutional Neural Network (CNN) algorithm and import it using TensorFlow Lite into an android mobile. The CNN model achieved an impressive total accuracy of 98% in precisely classifying three types of pineapple leaf diseases: Leaf Spot, Mealybug Wilt, and Pink Disease. When implemented in the mobile application, the system attained an overall confidence of 83.33% by leveraging both camera-captured and gallery images. Although the accuracy gained is impressive, additional research and adjustments can be conducted to improve the system’s performance and achieve even higher levels of accuracy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Exploring the etiology of auditory-verbal hallucinations through air- and bone-conducted self-other voice discrimination, a pilot study with preliminary results

引用

Neuroscience Applied 2024年 3卷

作者： I. Muselimović M. Bagarić J. Vukojević A. Savić P. Brečić L. Jelić P. Orepić University Psychiatric Hospital Vrapče Department for Diagnostics and Intensive care Zagreb Croatia University Psychiatric Hospital Vrapče Department for Affective disorders Zagreb Croatia Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering Zagreb Croatia University of Geneva Campus Biotech Geneva Switzerland

来源：评论

学校读者我要写书评

暂无评论

Bebop 2 Quadrotor as a Platform for Research and Education in Robotics and control Engineering

Bebop 2 Quadrotor as a Platform for Research and Education i...

引用

International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Wojciech Giernacki Piotr Kozierski Jacek Michalski Marek Retinger Rafal Madonski Pascual Campoy Institute of Robotics and Machine Intelligence Faculty of Control Robotics and Electrical Engineering of Poznan University of Technology Poznań Poland Institute of Computing Science (Faculty of Computing and Telecommunications) and with the Institute of Robotics and Machine Intelligence (Faculty of Control Robotics and Electrical Engineering) Poznan University of Technology Poznań Poland International Energy College Energy Electricity Research Center Jinan University Zhuhai China Computer Vision and Aerial Robotics (CVAR) Centre for Automation and Robotics Technical University of Madrid (UPM) Madrid Spain

ISBN: (数字)9781728142784

ISBN: (纸本)9781728142791

In conducting research and teaching in fields related to unmanned aerial vehicles (UAVs), it is particularly important to select a universal, safe, open research platform and tools for rapid prototyping. Ready-to-use, low-cost micro-class UAVs such as Bebop 2 are successfully used in that regard. This article presents how to use the potential of this flying robot with Robot Operating System (ROS). The most important software solutions for the developed experimental testbed FlyBebop are characterized here. Their capabilities in research and education are exemplified using three distinct cases: 1) research results on the method of optimal, in-flight, iterative self-tuning of UAV position controller parameters (based only on current measurements), 2) the use of the reinforcement learning method in the autonomous landing of a single drone on a moving vehicle, 3) planning the movement of UAVs for autonomous video recording along the planned path in the arrangement: "cameraman drone" and "lighting technician drones".

关键词： Drones Robots Education Cameras Sensors Tools

来源：评论

学校读者我要写书评

暂无评论

MLAR-Net: A multilevel attention-based ResNet module for the automated recognition of emotions using single-channel EEG signals

引用

IEEE Access 2025年 13卷 99122-99144页

作者： Maithri, M. Raghavendra, U. Gudigar, Anjan Praharaj, Samir Kumar Karthikeyan, S. Salvi, Massimo Yeong, Chai Hong Molinari, Filippo Rajendra Acharya, U. Manipal Academy of Higher Education Manipal Institute of Technology Department of Mechatronics Manipal 576104 India Manipal Academy of Higher Education Manipal Institute of Technology Department of Instrumentation and Control Engineering Karnataka Manipal 576104 India Taylor’s University School of Medicine Faculty of Health and Medical Sciences Digital Health and Medical Advancement Impact Laboratory Subang Jaya 47500 Malaysia Kasturba Medical College Manipal Academy of Higher Education Department of Psychiatry Manipal Karnataka Manipal 576104 India Manipal Academy of Higher Education Manipal Institute of Technology Department of Electrical & Electronics Engineering Karnataka Manipal 576104 India Politecnico di Torino Biolab PoliToBIOMed Lab Department of Electronics and Telecommunications Corso Duca degli Abruzzi 24 Turin 10129 Italy University of Southern Queensland School of Mathematics Physics and Computing Springfield Australia University of Southern Queensland Centre for Health Research Australia

Human emotion recognition is important as it finds applications in multiple domains such as medicine, entertainment, and military. However, accurately identifying emotions remains challenging due to humans’ ability to hide or suppress their emotional expressions. Hence it becomes important to recognize emotions by using brain signals as they provide more reliable data. Brain signals can be captured using Electroencephalograms (EEG) electrodes. Most used EEG devices come with multiple channels. But not all channel information is important for emotion recognition. Another issue with the existing dataset is the availability of a small quantity of samples. To address these challenges, we propose MLAR-Net, a novel multi-level attention module for emotion recognition using single-channel EEG signals. Our approach converts EEG signals into spectrograms using multiple parameters to generate large set of images. This data is then processed through our proposed MLAR-Net, which integrates a multi-level attention module with ResNet18 architecture. Our study identifies channel number 24 (T7) as the most effective for emotion classification, achieving an average accuracy of 98.06% using cubic support vector machine and a maximum accuracy of 99.51% using fine K-Nearest Neighbours. The study was conducted using SEED dataset. It is a publicly available dataset developed by capturing EEG signals from fifteen subjects for three classes of emotions namely positive, negative and neutral. The results achieved by the proposed study show around 4 to 5% improvement in comparison with the state-of-the-art studies using the same channel. This performance surpasses existing state-of-the-art methods for single-channel EEG-based emotion recognition. Furthermore, we highlight the top-performing channels that can be used for real-time implementation of the system with a minimum number of channels. © 2013 IEEE.

关键词： Attention-Based ResNet Emotion Recognition Explainable AI Single-Channel EEG Spectrograms

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Models for Intelligent Healthcare: Implementation and Challenges 7th

Deep Learning Models for Intelligent Healthcare: Implementat...

引用

7th International Conference on Artificial Intelligence and Security, ICAIS 2021

作者： Rehman, Sadaqat ur Tu, Shanshan Shah, Zubair Ahmad, Jawad Waqas, Muhammad Rehman, Obaid ur Kouba, Anis Abbasi, Qammer H. Engineering Research Center of Intelligent Perception and Autonomous Control Faculty of Information Technology Beijing University of Technology Beijing100124 China Department of Computer Science Namal Institute Mianwali42250 Pakistan Department of Computer Science and Engineering Hammad Bin Khalifa University Doha Qatar School of Computing Edinburgh Napier University Edinburgh United Kingdom Department of Electrical Engineering Sarhad University of Science and IT Peshawar25000 Pakistan Department of Computer Science Prince Sultan University Riyadh Saudi Arabia James Watt School of Engineering University of Glasgow GlasgowG12 8QQ United Kingdom

ISBN: (纸本)9783030786083

The rapid developments of artificial intelligent (AI) is being transformed for its extensive use-cases, people-centered intelligent systems focusing on care delivery, research encounter complex problems related to improve the overall infrastructure and management of intelligent delivery service;for instance, bringing transformation in healthcare sector for monitoring patients with chronic disease. Most of these systems are driven by state-of-the-art learning algorithms i.e., Convolution Neural Network. The CNN algorithm is considered to be one of the most prominent architectures of DL. Recently, due to enormous growth in the amount of annotated data and the development of CNN hardware accelerator, further, boost the research on CNN and accomplished benchmark enactment on different applications. This paper presents cutting-edge applications of CNN for an intelligent healthcare system. We provide useful findings of different CNN features such as optimization, fast computation, design, activation function, and loss function. To our knowledge, this is the first comprehensive work to address the recent trends in the architecture of CNN, which offers insight to the underlying problems and provides the potential solutions for any given intelligent healthcare applications. © 2021, Springer Nature Switzerland AG.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Electrical Charge Polarization Induced by Alternating Temperature Gradient to Promote Z-Scheme Photocatalytic Hydrogen Evolution and Imine Production

SSRN

引用

SSRN 2024年

作者： He, Zuming Yi, Jun Wong, Ngie Hing Sunarso, Jaka Xia, Yongmei Fu, Xiaofei Huang, Zhengyi Chen, Guihua Yang, Hanpei Zhou, Wei School of Microelectronics and Control Engineering Changzhou University Changzhou213164 China Huaide School Changzhou University Jingjiang214500 China Research Centre for Sustainable Technologies Faculty of Engineering Computing and Science Swinburne University of Technology Jalan Simpang Tiga Sarawak Kuching93350 Malaysia School of Materials and Engineering Jiangsu University of Technology Changzhou213001 China School of Pharmaceutical and Chemical Engineering Taizhou University Jiaojiang318000 China Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes Ministry of Education College of Environment Hohai University Nanjing210098 China Shandong Provincial Key Laboratory of Molecular Engineering School of Chemistry and Chemical Engineering Qilu University of Technology Shandong Academy of Sciences Jinan250353 China

Here, reported photothermal-pyroelectric-Fe0.9Ni0.1S2/ZnSnO3 photocatalytic system via hydrothermal and annealing methods. Fe0.9Ni0.1S2 nanoparticles (NPs) could convert most of near-infrared (NIR) light energy into heat energy to drive the pyroelectric effect of ZnSnO3, causing natural polarization and thermoelectric effects under the condensed water circulation. As a result, the as-designed Fe0.9Ni0.1S2/ZnSnO3-2 composites could yield up to 7.194 mmol g-1 h-1) with exceptional photocatalytic performance under simulated sunlight. This result was 5.41 and 4.92-fold those of Fe0.9Ni0.1S2 and ZnSnO3, respectively, with 16.66% apparent quantum yield under 365 nm monochromatic light. At the same time, the composites could also oxidize BA and yield up to 6.640 mmol g-1 h-1) n-benzylidene benzylamine with a 90.2% selectivity. Due to the synergistic effect of Z-scheme's built-in electric field and photothermal-pyroelectric of Fe0.9Ni0.1S2/ZnSnO3, the surface charges released on them could direct the charge transfer pathways and restrain their recombination with accelerated electron transfer kinetics, thus extending the carrier lifetime. © 2024, The Authors. All rights reserved.

关键词： Thermal gradients

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：