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Quasi Z source direct matrix converter based K- to three-phase wind energy conversion system using maximum constant boost current control modulation technique 使用最大恒定升压电流控制调制技术的基于准 Z 源直接矩阵转换器的 K- 至三相风能转换系统
IF 1.7 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-08-08 DOI: 10.1080/00051144.2024.2389500
M. Karthick, V. Rukkumani, Soundarapandiyan Manivannan
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引用次数: 0
An adaptive multistage intrusion detection and prevention system in software defined networking environment 软件定义网络环境中的自适应多级入侵检测和防御系统
IF 1.7 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-07-11 DOI: 10.1080/00051144.2024.2372749
N. Maheswaran, S. Bose, Buvaneswari Natarajan
{"title":"An adaptive multistage intrusion detection and prevention system in software defined networking environment","authors":"N. Maheswaran, S. Bose, Buvaneswari Natarajan","doi":"10.1080/00051144.2024.2372749","DOIUrl":"https://doi.org/10.1080/00051144.2024.2372749","url":null,"abstract":"","PeriodicalId":55412,"journal":{"name":"Automatika","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141657112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SwinVNETR: Swin V-net Transformer with non-local block for volumetric MRI Brain Tumor Segmentation SwinVNETR:带非局部块的 Swin V-net 变换器,用于体积磁共振成像脑肿瘤分割
IF 1.7 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-07-09 DOI: 10.1080/00051144.2024.2374179
Maria Nancy A, K. Sathyarajasekaran
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引用次数: 0
Dynamic control method of construction cost based on fuzzy neural network 基于模糊神经网络的工程造价动态控制方法
IF 1.7 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-07-07 DOI: 10.1080/00051144.2024.2372747
Qiao-hui Liu, Qian Cao
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引用次数: 0
Data augmentation using a 1D-CNN model with MFCC/MFMC features for speech emotion recognition 使用带有 MFCC/MFMC 特征的 1D-CNN 模型进行数据扩增,用于语音情感识别
IF 1.7 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-07-03 DOI: 10.1080/00051144.2024.2371249
Thomas Mary Little Flower, T. Jaya, S. Christopher Ezhil Singh
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引用次数: 0
Advanced golden jackal optimization-based fractional-order integral terminal sliding-mode (FO-ITSM) controller for level control of the conical tank system 基于分数阶积分终端滑动模式 (FO-ITSM) 优化的先进金豺控制器用于锥形罐系统的液位控制
IF 1.7 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Pub Date : 2024-07-02 DOI: 10.1080/00051144.2024.2307238
V. Manimekalai, K. Srinivasan
This article examines a conical tank nonlinear system's level control. A crucial component of facilities like milk processing plants and sugarcane mills is the conical tank. The fluid drains entirely due to the conical shape of the tank. The conical form of the system causes nonlinear dynamics. The conical tank nonlinear system transfer mechanism is not easily accessible, and different operating heights require different transfer mechanisms, making controller design difficult. Developing the Fractional-Order Integral Terminal Sliding-Mode (FO-ITSM) Controller system for Advanced Golden Jackal Optimisation (GJO) based conical tank systems is the main objective of this paper. This is utilised to deliver real-time liquid level management in non-linear conical systems. The dynamics of these models make it possible to identify the conical tank system that produces control signals from liquid samples taken at reference levels with greater accuracy. This system, which is employed on multiple platforms, maintains and controls the liquid level while meeting all design specifications, including time constant, no overshoot, less settling, and rise time. For research simulation work, MATLAB software's FOMCON toolbox is utilised.
本文探讨了锥形罐非线性系统的液位控制。锥形罐是牛奶加工厂和甘蔗加工厂等设施的重要组成部分。由于罐体呈圆锥形,液体可以完全排出。系统的锥形结构导致了非线性动力学。锥形罐非线性系统的传递机制不易获得,不同的操作高度需要不同的传递机制,这给控制器的设计带来了困难。本文的主要目的是为基于高级金豺优化(GJO)的锥形储罐系统开发分数阶积分终端滑动模式(FO-ITSM)控制器系统。该系统可用于非线性锥形系统的实时液位管理。通过这些模型的动态特性,可以更准确地识别锥形液槽系统,该系统可通过在参考液位采集的液体样本产生控制信号。该系统可在多个平台上使用,在保持和控制液位的同时满足所有设计规范,包括时间常数、无过冲、较少沉降和上升时间。在研究模拟工作中,使用了 MATLAB 软件的 FOMCON 工具箱。
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引用次数: 0
KDViT: COVID-19 diagnosis on CT-scans with knowledge distillation of vision transformer KDViT:利用视觉转换器的知识提炼功能在 CT 扫描上进行 COVID-19 诊断
IF 1.9 4区 计算机科学 Q2 Computer Science Pub Date : 2024-05-15 DOI: 10.1080/00051144.2024.2349416
Yu Jie Lim, Kian Ming Lim, Roy Kwang Yang Chang, Chin Poo Lee
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引用次数: 0
Anemia detection and classification from blood samples using data analysis and deep learning* 利用数据分析和深度学习从血液样本中检测和分类贫血*。
IF 1.9 4区 计算机科学 Q2 Computer Science Pub Date : 2024-05-14 DOI: 10.1080/00051144.2024.2352317
N. Bahadure, Ramdas Khomane, Aditya Nittala
{"title":"Anemia detection and classification from blood samples using data analysis and deep learning*","authors":"N. Bahadure, Ramdas Khomane, Aditya Nittala","doi":"10.1080/00051144.2024.2352317","DOIUrl":"https://doi.org/10.1080/00051144.2024.2352317","url":null,"abstract":"","PeriodicalId":55412,"journal":{"name":"Automatika","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140978986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A novel finite-time leader-follower consensus control for a disturbed mechanical nonlinear system in presence of actuator saturation 致动器饱和情况下受干扰机械非线性系统的新型有限时间领导者-跟随者共识控制法
IF 1.9 4区 计算机科学 Q2 Computer Science Pub Date : 2024-05-14 DOI: 10.1080/00051144.2024.2329493
Mohammad H. Shojaeifard, M. Mollajafari, Majid Talebi, Majid Naserian
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引用次数: 0
A novel approach to macular edema detection: DeepLabv3+ segmentation and VGG with vision transformer classification 黄斑水肿检测的新方法:DeepLabv3+ 分割和带有视觉变换器分类的 VGG
IF 1.9 4区 计算机科学 Q2 Computer Science Pub Date : 2024-05-13 DOI: 10.1080/00051144.2024.2352313
C. Kotteeswari, V. Chandrasekaran, S. Anitha
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引用次数: 0
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Automatika
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