Results 91 to 100 of about 6,293,684 (257)

SPEED CONTROL OF DTC-SVM FOR INDUCTION MOTOR DRIVE USING SELF-TUNING FUZZY PI CONTROLLER ANN ANFIS

Al-Qadisiyah Journal for Engineering Science, 2018
This paper deals with the performance analysis of three phase Induction Motor (IM) with Direct Torque Control based Space Vector Modulation (DTC-SVM). The DTC-SVM scheme is a kind of high-performance control of IM drives to improve the ripples of torque ...
Rawaa Kadhim Sakran, Khearia Mohammed Ali   +1 more
doaj  

Comparative Analysis of Input Power Factor Control Techniques in Matrix Converters Based on Model Predictive and Space Vector Control Schemes

IEEE Access, 2019
Model Predictive Control (MPC) with a finite control set and space vector modulation (SVM) are the most common control methods for the matrix converters (MCs).
Zahra Malekjamshidi, Mohammad Jafari, Jianguo Zhu, Dan Xiao   +3 more
doaj   +1 more source

Space vector Fourier analysis of SVM inverters in the overmodulation range

, 1996
Voltage-source inverters with space vector modulation (SVM) are largely adopted in power conversion for AC drives. In this context, the pulse-width control in the overmodulation range is becoming a topic of considerable interest.
BOLOGNANI, SILVERIO, ZIGLIOTTO, MAURO, M. Zigliotto, S. Bolognani   +3 more
core   +1 more source

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

Support Vector Machines in R [PDF]

Being among the most popular and efficient classification and regression methods currently available, implementations of support vector machines exist in almost every popular programming language.
Kurt Hornik, David Meyer, Alexandros Karatzoglou   +2 more
core  

Deep Learning Classification of Pancreatic Cancer Cells Over a Progression of Epithelial to Mesenchymal States by Deformability Cytometry Under Microfluidic Viscoelastic Flows

Advanced Intelligent Systems, EarlyView.
Cancer cells progressively spread over intermediate epithelial‐to‐mesenchymal transition states that cause nuclear enlargement and circular redistribution of filamentous vimentin are classified by deformability cytometry coupled to a multi‐region deep learning model with convolutional feature extraction and attention‐based regional aggregation.
Javad Jarmoshti, Hanyuan Gao, Negin Zeinali, Abdullah‐Bin Siddique, Sara J. Adair, Todd W. Bauer, Matthew J. Lazzara, Xiaoxuan Yang, Nathan S. Swami   +8 more
wiley   +1 more source

A simplified space vector modulation for the single-phase active power decoupling quasi-Z-source inverter

International Journal of Electrical Power & Energy Systems
The double-line frequency ripple power of the single-phase quasi-Z source inverter (qZSI) will result in a large designed qZS impedance on the dc side, which can be greatly reduced by the coupled-type active power decoupling (APD) method.
Rui Zhang, Shunliang Wang, Yuan Li, Junpeng Ma, Peng Wang, Tianqi Liu   +5 more
doaj   +1 more source

MetaPaCS: A Novel Meta‐Learning Framework for Pancreatic Cancer Subtype Identification

Advanced Intelligent Systems, EarlyView.
We have developed MetaPaCS, an ensemble meta‐learning framework for reliable prediction of pancreatic cancer subtypes with high accuracy. MetaPaCS is capable of capturing subtype‐specific distinct gene expression patterns and drug‐disease associations for pancreatic cancer.
Nick B. Peterson, Mengtao Sun, Xinchao Wu, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Nanomedicine‐driven innovations in postoperative cancer immunotherapy: Remodeling tumor microenvironment and precision delivery strategies

BMEMat, EarlyView.
Nanomedicine‐Driven Strategies for Suppressing Postoperative Tumor Recurrence. This schematic illustrates three pivotal nanomedical strategies that synergistically counteract recurrence by targeting residual disease and the immunosuppressive tumor microenvironment within the surgical cavity.
Lisong Pang, Zhuomin Wang, Zhenhua Jin, Ahmed H. Ghonaim, Hengcheng Zhang, Xinyu You, Jinzhuo Ning, Jiaqing Cao, Yang Liu   +8 more
wiley   +1 more source

Space vector modulation technique for 3-level NPC converter with constant switching frequency [PDF]

, 2016
This paper presents a simple Space Vector Modulation (SVM) methodology for a three-level NPC converter. Nearest three vectors (NTV) and corresponding duty cycles are deduced through simple generic mathematical expressions. Extra degrees of freedom of NPC
Ouerdani, Imen, Ben Abdelghani, Hafedh, Montesinos Miracle, Daniel, Slama-Belkhodja, Ilhem, Ben Abdelghani, Afef Bennani   +4 more
core   +1 more source