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Jozsef Kopjak

associate professor

Óbuda University

Hungary

Research Interests

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Professors in Hungary

Articles (20)

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Collaborators (6)

Márk Tamás Baross

Assistant lecturer

Óbuda University

HUNGARY

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Márta Takács

Óbuda University

HUNGARY

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Péter János Varga

PhD. associate professor

HUNGARY

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M. Magdin

associate professor

University of South Bohemia in Ceske Budejovice

CZECH REPUBLIC

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Sándor Gyányi

PhD. Senior lecturer

HUNGARY

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Tibor Wuhrl

University of Szeged Faculty of Engineering

HUNGARY

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Jozsef Kopjak

Research Interests

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Articles (20)

Acquisition Time in Dual Shunt-Based Current Sensing for PMSM FOC

Comparative Study on Bar Materials in Cage-Start Synchronous Motors: Influence on Starting Torque, Current and Thermal Behavior

Current-Based Roll-Off Detection in RF Liver Ablation Using a Constant Output Voltage RF Generator

Design and Implementation of a Compact RF Power Sampling Generator for Low-EMI Operation

Elimination of Torque Dip at Half Synchronous Speed in Synchronous Motors with Laminated Salient Poles Through Optimal Damper Cage Design

Exploring the Potential of Hybrid Petri Nets in Electric Vehicle Charging Models

FearTherapy: Assessing the Impact of Therapeutic Games in Virtual Environments through Physiological State Measurements

Identifying EV User Charging Patterns Using Clustering Techniques

Sensorless Detection of Unbalanced Loads in Embedded Motor Control via ML-Trained Pattern Matching on Torque-Producing Current Signals

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Testing NFC Tags in Laboratory Environment

Analysis of Fuzzy Technologies Potential Usage in Sensorless PMSM FOC Control

Analyzing EV Users' Charging Patterns for Estimating Session Parameters and Optimizing Load Management

Dynamic Normalizing Method for Sinusoidal Signals

Enhancing Sensorless Start-Up in PMSM: Analysis and Optimization of Open-Loop Technique for Smooth Transitions

Impact of Redundant Link on Message Delivery in IQRF Networks

Impact of Weather Conditions on Electric Vehicle Charging Behavior in an Office Context in Hungary

Implementation of Control Algorithms in Intelligent Beehive Monitoring Systems

Relative SoC and Charging Session Duration Estimation for Electric Vehicle Charge Points Using Adaptive Neuro-Fuzzy Inference System (ANFIS)

Sensorless Detection of Unbalanced Loads in Embedded Motor Control via ML-Trained Pattern Matching on Speed Signals

Collaborators (6)

Márk Tamás Baross

Márta Takács

Péter János Varga

M. Magdin

Sándor Gyányi

Tibor Wuhrl

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