Tudóstér: Oniga István publikációi

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feltöltött közlemény: 96 Open Access: 35
2024
  1. Xie, Y., Oniga, I.: A Comprehensive Review of Hardware Acceleration Techniques and Convolutional Neural Networks for EEG Signals.
    Sensors. 24 (17), 1-28, 2024.
    Folyóirat-mutatók:
    Q1 Analytical Chemistry (2023)
    Q1 Atomic and Molecular Physics, and Optics (2023)
    Q2 Biochemistry (2023)
    Q2 Electrical and Electronic Engineering (2023)
    Q2 Information Systems (2023)
    Q1 Instrumentation (2023)
    Q2 Medicine (miscellaneous) (2023)
  2. Pap, I., Oniga, I.: eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication.
    Sensors. 24 (18), 1-16, 2024.
    Folyóirat-mutatók:
    Q1 Analytical Chemistry (2023)
    Q1 Atomic and Molecular Physics, and Optics (2023)
    Q2 Biochemistry (2023)
    Q2 Electrical and Electronic Engineering (2023)
    Q2 Information Systems (2023)
    Q1 Instrumentation (2023)
    Q2 Medicine (miscellaneous) (2023)
  3. Xie, Y., Oniga, I.: Enhancing Motor Imagery Classification in Brain-Computer Interfaces Using Deep Learning and Continuous Wavelet Transform.
    Appl. Sci.-Basel. 14 (19), 1-16, 2024.
    Folyóirat-mutatók:
    Q3 Computer Science Applications (2023)
    Q2 Engineering (miscellaneous) (2023)
    Q2 Fluid Flow and Transfer Processes (2023)
    Q2 Instrumentation (2023)
    Q2 Materials Science (miscellaneous) (2023)
    Q3 Process Chemistry and Technology (2023)
  4. Baranyai, D., Oniga, I., Gyöngyösi, B., Ujvári, B., Mohamed, A.: Module Tester for Positron Emission Tomography and Particle Physics.
    Electronics (Switzerland). 13 (15), 1-15, 2024.
  5. Alexan, A., Alexan, A., Oniga, I.: Real-Time Machine Learning for Human Activities Recognition Based on Wrist-Worn Wearable Devices.
    Appl. Sci.-Basel. 14 (1), 1-20, 2024.
    Folyóirat-mutatók:
    Q3 Computer Science Applications (2023)
    Q2 Engineering (miscellaneous) (2023)
    Q2 Fluid Flow and Transfer Processes (2023)
    Q2 Instrumentation (2023)
    Q2 Materials Science (miscellaneous) (2023)
    Q3 Process Chemistry and Technology (2023)
2023
  1. Xie, Y., Oniga, I.: Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks.
    Sensors. 23 (4), 1-16, 2023.
    Folyóirat-mutatók:
    Q1 Analytical Chemistry
    Q1 Atomic and Molecular Physics, and Optics
    Q2 Biochemistry
    Q2 Electrical and Electronic Engineering
    Q2 Information Systems
    Q1 Instrumentation
    Q2 Medicine (miscellaneous)
  2. Oniga, I., Pap, I., Majoros, T.: Implementation considerations for an intelligent embedded e-Health system and experimental results for EEG-based activity recognition.
    In: Smart Embedded Systems: Advances and Applications / Arun Sinha, Abhishek Sharma, Luiz Alberto Pasini Melek, Daniele Caviglia, Crc Press-Taylor & Francis Group, Boca Raton, 33-55, 2023. ISBN: 9781032404172
2022
  1. Alexan, A., Alexan, A., Oniga, I.: Activity recognition using unsupervised learning.
    In: 2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) / Szilard Enyedi, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Piscataway, 1-6, 2022. ISBN: 9781665479332
  2. Pap, I., Oniga, I.: A Review of Converging Technologies in eHealth Pertaining to Artificial Intelligence.
    Int. J. Environ. Res. Public Health. 19 (18), 1-15, 2022.
    Folyóirat-mutatók:
    Q2 Health, Toxicology and Mutagenesis
    Q2 Pollution
    Q2 Public Health, Environmental and Occupational Health
  3. Majoros, T., Oniga, I.: Elképzelt motoros tevékenységek EEG-alapú osztályozása neurális hálózatok használatával.
    In: XXIII. Energetika-Elektrotechnika - ENELKO és XXXII. Számítástechnika és Oktatás : SzámOkt Multi-konferencia. Szerk.: Sebestyén-Pál György, Szabó Loránd, Erdélyi Magyar Műszaki Tudományos Társaság, Kolozsvár, 162-167, 2022, (ISSN 2734-6757)
  4. Xie, Y., Majoros, T., Oniga, I.: FPGA-Based Hardware Accelerator on Portable Equipment for EEG Signal Patterns Recognition.
    Electronics (Switzerland). 11 (15), 1-15, 2022.
    Folyóirat-mutatók:
    Q2 Computer Networks and Communications
    Q2 Control and Systems Engineering
    Q2 Electrical and Electronic Engineering
    Q2 Hardware and Architecture
    Q2 Signal Processing
  5. Majoros, T., Oniga, I.: Overview of the EEG-Based Classification of Motor Imagery Activities Using Machine Learning Methods and Inference Acceleration with FPGA-Based Cards.
    Electronics (Switzerland). 11 (15), 1-14, 2022.
    Folyóirat-mutatók:
    Q2 Computer Networks and Communications
    Q2 Control and Systems Engineering
    Q2 Electrical and Electronic Engineering
    Q2 Hardware and Architecture
    Q2 Signal Processing
  6. Alexan, A., Alexan, A., Oniga, I.: Single user activity recognition with Density Activity Abstraction Graphics Algorithm.
    In: Proceedings of 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS) / Fazekas Istvan, IEEE, Piscataway, 7-12, 2022. ISBN: 9781665496537
  7. Alexan, A., Alexan, A., Oniga, I.: Smartwatch activity recognition feature comparison using ML.net.
    In: 2022 23rd IEEE International Conference on Automation, Quality and Testing, Robotics (THETA, AQTR) / Szilard Enyedi, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, Piscataway, 1-6, 2022. ISBN: 9781665479332
  8. Alexan, A., Alexan, A., Oniga, I.: Smart watch activity recognition using plot image analysis.
    In: Proceedings of 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS) / István Fazekas, IEEE, Piscataway (NJ), 1-6, 2022. ISBN: 9781665496537
2021
  1. Majoros, T., Oniga, I.: Activity recognition using consumer-grade EEG device.
    In: 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), IEEE, Pitesti, 1-6, 2021. ISBN: 9781665425346
  2. Xie, Y., Oniga, I., Majoros, T.: Comparison of EEG Data Processing Using Feedforward and Convolutional Neural Network.
    In: Proceedings of 1st Conference on Information Technology and Data Science (CITDS 2020) / editors István Fazekas, András Hajdu, Tibor Tómács, CEUR, Debrecen, 279-289, 2021, (CEUR Workshop Proceedings, ISSN 1613-0073 ; 2874.)
  3. Majoros, T., Oniga, I.: Comparison of Motor Imagery EEG Classification using Feedforward and Convolutional Neural Network.
    In: IEEE EUROCON 2021 - 19th International Conference on Smart Technologies. Ed.: Mariya Antyufeyeva, IEEE, Lviv, 25-29, 2021. ISBN: 9781665432993
  4. Mándi, Á., Jeney, M., Rózsa, D., Oniga, I.: Hardware accelerated image processing on FPGA based PYNQ-Z2 board.
    Carpath. J. Electron. Comput. Eng. 14 (1), 20-23, 2021.
  5. Yu, X., Majoros, T., Oniga, I.: Hardware Implementation of CNN Based on FPGA for EEG Signal Patterns Recognition.
    In: International Conference on e-Health and Bioengineering (EHB). Ed.: Grigore T. Popa, IEEE, Iasi, 1-4, 2021. ISBN: 9781665440004
  6. Majoros, T., Oniga, I., Xie, Y.: Motor imagery EEG classification using feedforward neural network.
    Ann. Math. Inform. 53 235-244, 2021.
    Folyóirat-mutatók:
    Q3 Computer Science (miscellaneous)
    Q4 Mathematics (miscellaneous)
  7. Alexan, A., Alexan, A., Oniga, I.: Multi-resident location detecting in smart home.
    In: Proceedings of 1st Conference on Information Technology and Data Science (CITDS 2020) / editors István Fazekas, András Hajdu, Tibor Tómács, CEUR, Debrecen, 32-38, 2021, (CEUR Workshop Proceedings, ISSN 1613-0073 ; 2874.)
  8. Alexan, A., Alexan, A., Oniga, I.: Smartwatch Activity Recognition Using Ml.net Framework.
    In: Proceedings of 1st Conference on Information Technology and Data Science (CITDS 2020) / editors István Fazekas, András Hajdu, Tibor Tómács, CEUR, Debrecen, 39-45, 2021, (CEUR Workshop Proceedings, ISSN 1613-0073 ; 2874.)
2020
  1. Xie, Y., Oniga, I.: A Review of Processing Methods and Classification Algorithm for EEG Signal.
    Carpath. J. Electron. Comput. Eng. 13 (1), 23-29, 2020.
  2. Sütő, J., Oniga, I., Lung, C., Orha, I.: Comparison of offline and real-time human activity recognition results using machine learning techniques.
    Neural Comput. Appl. 32 (20), 15673-15686, 2020.
    Folyóirat-mutatók:
    Q2 Artificial Intelligence
    Q1 Software
  3. Alexan, A., Alexan, A., Oniga, I.: Machine learning activity detection using ML.Net.
    In: 2020 IEEE 26th International Symposium for Design and Technology in Electronic Packaging (SIITME 2020). Ed.: Gabriel Chindris, IEEE, Piscataway (NJ), 188-191, 2020. ISBN: 9781728175065
  4. Pap, I., Oniga, I., Alexan, A.: Machine Learning EEG Data Analysis For eHealth IoT System.
    In: Proceedings of 2020 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) / Liviu Miclea, Szilárd Enyedi, et.al, IEEE, Cluj-Napoca, 1-4, 2020. ISBN: 9781728171647
  5. Alexan, A., Alexan, A., Oniga, I.: SoC based IoT sensor network hub for activity recognition using ML.net framework.
    In: 2020 IEEE 26th International Symposium for Design and Technology in Electronic Packaging (SIITME 2020). Ed.: Gabriel Chindris, IEEE, Piscataway (NJ), 184-187, 2020.
2019
  1. Majoros, T., Ujvári, B., Oniga, I.: EEG adatok feldolgozása neurális hálózattal.
    In: ENELKO 2019, SzámOkt 2019, Erdélyi Magyar Műszaki Tudományos Társaság, Temesvár, 208-213, 2019, (ISSN 1842-4546 ; 29.)
  2. Majoros, T., Ujvári, B., Oniga, I.: EEG data processing with neural network.
    Carpath. J. Electron. Comput. Eng. 12 (2), 33-36, 2019.
  3. Sütő, J., Oniga, I.: Efficiency investigation from shallow to deep neural network techniques in human activity recognition.
    Cogn. Syst. Res. 54 37-49, 2019.
    Folyóirat-mutatók:
    Q3 Artificial Intelligence
    Q3 Cognitive Neuroscience
    Q3 Experimental and Cognitive Psychology
  4. Alexan, A., Alexan, A., Oniga, I., Tisan, A.: SoC as IoT sensor network hub.
    Carpath. J. Electron. Comp. Eng. 12 (1), 42-45, 2019.
2018
  1. Sütő, J., Oniga, I.: Efficiency investigation of artificial neural networks in human activity recognition.
    J. Ambient Intell. Humaniz. Comput. 9 (4), 1049-1060, 2018.
    Folyóirat-mutatók:
    Q2 Computer Science (miscellaneous)
  2. Sütő, J., Oniga, I., Pop Sitar, P.: Music stimuli recognition from electroencephalogram signal with machine learning.
    In: 2018 7th International Conference on Computers Communications and Control (ICCCC) : proceedings ISBN: 9781538619346
  3. Sütő, J., Oniga, I.: Music stimuli recognition in electroencephalogram signal.
    Elektron. Elektrotech. 24 (4), 68-71, 2018.
    Folyóirat-mutatók:
    Q3 Electrical and Electronic Engineering
  4. Monori, F., Oniga, I.: Processing EEG signals acquired from a consumer grade BCI device.
    Carpath. J. Electron. Comput. Eng. 11 (2), 29-34, 2018.
  5. Majoros, T., Ujvári, B., Oniga, I.: Részecskefizikai detektorban alkalmazott neurális hálózat stabilitási vizsgálata.
    In: ENELKO 2018 XIX. Nemzetközi Energetika-Elektrotechnika Konferencia, SzámOkt 2018 XXVIII. Nemzetközi Számítástechnika és Oktatás Konferencia. Szerk.: Biró Károly-Ágoston, Sebestyén-Pál György, Szabó Loránd, Erdélyi Magyar Műszaki Tudományos Társaság, Tusnádfürdő, 262-267, 2018, (ISSN 1842-4546)
2017
  1. Oniga, I., Tisan, A., Bólyi, R.: Activity and health status monitoring system.
    In: Proceedings : 2017 IEEE International Symposium on Industrial Electronics (ISIE), Edinburgh International Conference Centre, Edinburgh, Scotland, United Kingdom, 18-21 June, 2017. Eds.: Andre Nogueiras, Nicola Brooks, IEEE, Piscataway, 2027-2031, 2017. ISBN: 9781509014125
  2. Sütő, J., Oniga, I., Pop-Sitar, P.: Feature analysis to human activity recognition.
    Int. J. Comput. Commun. Control. 12 (1), 116-130, 2017.
    Folyóirat-mutatók:
    Q3 Computational Theory and Mathematics
    Q2 Computer Networks and Communications
    Q3 Computer Science Applications
  3. Sütő, J., Oniga, I., Lung, C., Orha, I.: Recognition rate difference between real-time and offline human activity recognition.
    In: Internet of Things for the Global Community : Proceedings : July 10-12, 2017, Madeira-Portugal / Fernando Morgado-Dias, IEEE, Danvers, 13-18, 2017. ISBN: 9781538620649
  4. Gál, Z., Oniga, I.: Tárgyak Internete és az ipari kommunikációs technológiák integrációja.
    In: Informatika a felsőoktatásban 2017 konferencia kiadványa. Szerk.: Aradi Bernadett, Bujdosó Gyöngyi, Horváth Géza, Szokol Patrícia, Debreceni Egyetem Informatikai Kar, Debrecen, 333-339, 2017. ISBN: 9789634732136
2016
  1. Oniga, I., Sütő, J.: Activity recognition in adaptive assistive systems using artificial neural networks.
    Elektron. Elektrotech. 22 (1), 68-72, 2016.
    Folyóirat-mutatók:
    Q2 Electrical and Electronic Engineering
  2. Sütő, J., Oniga, I., Pop Sitar, P.: Comparison of wrapper and filter feature selection algorithms on human activity recognition.
    In: 2016 6th International Conference on Computers Communications & Control (ICCCC) : This edition of conference is dedicated to the 110th anniversary of Grigore C. Moisil (1906-1973) Romanian Mathematician, Computer Pioneer Award of IEEE Computer Society (1996 - posthumously). Eds.: I. Dzitac, F.G. Filip, M.J. Manolescu, IEEE, Piscataway, 124-129, 2016. ISBN: 9781509017355
  3. Orha, I., Oniga, I.: Real time data acquisition system for activity recognition using motion and physiological sensors.
    Carpathian J. Electr. Comp. Eng. 9 (2), 18-21, 2016.
  4. Erdős, A., Zákány, J., Oniga, I.: The pathfinder zybot: an open platform telepresence robot.
    Carpathian J. Electr. Comp. Eng. 9 (2), 22-26, 2016.
2015
  1. Orha, I., Oniga, I.: Activity recognition using an e-textile data acquisition system.
    In: 2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging (SIITME), Brasov, Romania, 22-25 October, 2015. Ed.: Zsolt Illyefalvi-Vitéz, IEEE-Inst Electrical Electronics Engineers Inc, Piscataway, 335-339, 2015, (IEEE Xplore Compliant Proceedings) ISBN: 9781509003327
  2. Sütő, J., Oniga, I.: A new relation between "Twiddle Factors" in the fast Fourier transformation.
    Elektron. Elektrotech. 21 (4), 56-59, 2015.
    Folyóirat-mutatók:
    Q2 Electrical and Electronic Engineering
  3. Oniga, I., Sütő, J.: Optimal recognition method of human activities using artificial neural networks.
    Meas. Sci. Rev. 15 (6), 323-327, 2015.
    Folyóirat-mutatók:
    Q3 Biomedical Engineering
    Q2 Control and Systems Engineering
    Q3 Instrumentation
  4. Sütő, J., Oniga, I., Buchman, A.: Real time human activity monitoring.
    Ann. Math. et Inf. 44 187-196, 2015.
    Folyóirat-mutatók:
    Q4 Computer Science (miscellaneous)
    Q4 Mathematics (miscellaneous)
  5. Besenczi, R., Szilágyi, M., Bátfai, N., Mamenyák, A., Oniga, I., Ispány, M.: Using crowdsensed information for traffic simulation in the Robocar World Championship framework.
    In: 6th IEEE Conference on Cognitive Infocommunications CogInfoCom 2015 : Proceedings, October 19-21, 2015, Széchenyi István University Győr, Hungary, IEEE, Danvers, 333-337, 2015. ISBN: 9781467381291
  6. Orha, I., Oniga, I.: Wearable sensors network for activity recognition using inertial sensors.
    Carpathian J. Electr. Comp. Eng. 8 (2), 3-6, 2015.
2014
  1. Sütő, J., Oniga, I., Hegyesi, G.: A simple fast Fourier transformation algorithm to microcontrollers and mini computers.
    In: 18th International Conference on Intelligent Engineering Systems (INES), 2014 : proceedings. Ed.: A. Szakal, IEEE, [Pistacaway], 61-65, 2014. ISBN: 9781479946150
  2. Sebestyén, G., Hangan, A., Oniga, I., Gál, Z.: eHealth solutions in the context of Internet of Things.
    In: Proceedings of 201 4 IEEE International Conference on Automation, Quality and Testing, Robotics / (ed.) Liviu Miclea, Ioan Stoian, IEEE, Piscataway, 261-267, 2014. ISBN: 9781479937325
  3. Oniga, I., Sütő, J.: Human activity recognition using neural networks.
    In: Proceedings of the 2014 15th International Carpathian Control Conference (ICCC). Ed.: Ivo Petrás, Igor Podlubny, Ján Kacur, Radim Farana, IEEE, Piscataway, 403-406, 2014. ISBN: 9781479935284
  4. Gál, Z., Almási, B., Dabóczi, T., Vida, R., Oniga, I., Baran, S., Farkas, I.: Internet of Things: application areas and research results of the FIRST project.
    Infocommun. J. 6 (3), 37-44, 2014.
    Folyóirat-mutatók:
    Q4 Computer Science (miscellaneous)
    Q4 Electrical and Electronic Engineering
  5. Sabou, S., Oniga, I., Lung, C.: Magnetic sensors in inertial navigation system.
    Proceedings of 2014 IEEE 20th International Symposium for Design and Technology in Electronic Packaging (SIITME) 1 (1), 211-214, 2014.
  6. Orha, I., Oniga, I.: Study regarding the optimal sensors placement on the body for human activity recognition.
    In: Proceedings of 2014 IEEE 20th International Symposium for Design and Technology in Electronic Packaging (SIITME). Eds.: Zsolt Illyefalvi-Vitez, Norocel Codreanu, IEEE, Piscataway, 203-206, 2014. ISBN: 9781479969623
  7. Orha, I., Oniga, I.: Wearable sensors network for health monitoring using e-Health platform.
    Carpathian J. Electr. Comp. Eng. 7 (1), 25-29, 2014.
2013
  1. Alexan, A., Oşan, A., Oniga, I.: Advanced Medication Dispenser.
    Carpathian J. Electr. Comp. Eng. 6 (2), 26-31, 2013.
  2. Sütő, J., Oniga, I.: A new C++ implemented feed forward neural network simulator.
    Carpathian J. Electr. Comp. Eng. 6 (2), 3-6, 2013.
  3. Oniga, I., Pop-Sitar, P.: Application Possibilities of Hardware Implemented Hybrid Neural Networks to Support Independent Life of Elderly People.
    In: Hybrid Artificial Intelligent Systems : 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013. Proceedings. Ed.: Jeng-Shyang Pan, Marios M. Polycarpou, Michał Woźniak, André C. P. L. F. de Carvalho, Héctor Quintián, Emilio Corchado, Springer Berlin Heidelberg, Berlin, 520-529, 2013, (Lecture Notes in Computer Science ; 8073) ISBN: 9783642408458
  4. Sebestyén, P., Oniga, I., Gál, Z.: A Tárgyak Internete az orvosi ellátásban.
    In: ENELKO 2013 XIV. Nemzetközi Energetika-Elektrotechnika Konferencia, SzámOkt 2013 XXIII. Nemzetközi Számítástechnika és Oktatás Konferencia, Nagyszeben, 2013. október 10-13.. Szerk.: Biró Károly Ágoston, Sebestyén-Pál György, Erdélyi Magyar Műszaki Tudományos Társaság, Cluj-Napoca, 296-303, 2013, (ISSN 1842-4546)
  5. Orha, I., Oniga, I.: Automated system for evaluating health status.
    In: Proceedings of the 2013 IEEE 19th International Symposium for Design and Technology in Electronic Packaging, [s.n], [s.l.], 219-222, 2013. ISBN: 9781479915552
  6. Sütő, J., Oniga, I.: FPGA implemented reduced Ethernet MAC.
    In: 4th IEEE International Conference on Cognitive Infocommunications CogInfoCom 2013 : Proceedings, December 2-5, 2013 Budapest, Hungary. Ed.: Péter Baranyi, IEEE, Danvers, 29-32, 2013. ISBN: 9781479915466
  7. Oniga, I.: ICT Tools for Smart Homes and Assisted Living for Elders.
    In: Advances in Wireless Sensor Networks : Conference Proceedings. Ed.: by György Terdik, István Gaál ISBN: 9789633183564
  8. Sütő, J., Oniga, I., Orha, I.: Microcontroller based health monitoring system.
    In: Proceedings of the 2013 IEEE 19th International Symposium for Design and Technology in Electronic Packaging, IEEE, [Piscataway], 24-27, 2013. ISBN: 9781479915552
  9. Sütő, J., Oniga, I.: Testing artificial neural network for gesture recognition.
    In: Abstracts and Pre-Proceedings 9th Internetional Conference on Applied Mathematics, Editura BiblioPhil, Baia Mare, 21-22, 2013. ISBN: 9786069309483
  10. Sütő, J., Oniga, I.: Testing artificial neural network for hand gesture recognition.
    Creat. Math. Inform. 22 (2), 223-228, 2013.
  11. Gál, Z., Terdik, G., Sebestyén, G., Oniga, I.: Vezetéknélküli technológia- és protokoll trendek a Tárgyak Internetén.
    In: ENELKO 2013 XIV. Nemzetközi Energetika-Elektrotechnika Konferencia, SzámOkt 2013 XXIII. Nemzetközi Számítástechnika és Oktatás Konferencia, Nagyszeben, 2013. október 10-13.. Szerk.: Biró Károly Ágoston, Sebestyén-Pál György, Erdélyi Magyar Műszaki Tudományos Társaság, Cluj-Napoca, 180-188, 2013, (ISSN 1842-4546)
  12. Lung, C., Oniga, I., Buchman, A., Tisan, A.: Wireless data acquisition system for IoT applications.
    Carpathian J. Electr. Comp. Eng. 6 (1), 64-67, 2013.
2012
  1. Orha, I., Oniga, I.: Assistance and telepresence robots: a solution for elderly people.
    Carpathian J. Electr. Comp. Eng. 5 (1), 89-90, 2012.
  2. Alexan, A., Oşan, A., Oniga, I.: AssistMe robot, an assistance robotic platform.
    Carpathian J. Electr. Comp. Eng. 5 (1), 1-4, 2012.
  3. Orha, I., Oniga, I.: Current Distortions Compensation Method for Frequency Converters.
    In: Design and Technology in Electronic Packaging (SIITME), 2012 18-th IEEE International Symposium for, [s.n.], [s.l.], 105-109, 2012. ISBN: 9781467347600
  4. Sütő, J., Máté, Á., Végh, J., Oniga, I.: Developing a general purpose data collector framework for robots.
    In: Carpathian Control Conference (ICCC), 2012 13th International, IEEE, Piscataway, 690-693, 2012.
  5. Oniga, I., Végh, J., Orha, I.: Intelligent Human-Machine Interface Using Hand Gestures Recognition.
    AQTR. 559-563, 2012.
  6. Oniga, I., Alexan, A., Oşan, A.: Personal assistant robot.
    In: Design and Technology in Electronic Packaging (SIITME), 2012 18-th IEEE International Symposium for, [s.n.], [s.l.], 69-72, 2012. ISBN: 9781467347600
  7. Sütő, J., Oniga, I.: Remote controlled data collector robot.
    Carpathian J. Electr. Comp. Eng. 5 (1), 117-120, 2012.
2011
  1. Oniga, I., Oşan, A., Iulian, A.: Alternative control method of the smart house: natural gestures.
    Carpathian J. Electr. Comp. Eng. 4 97-100, 2011.
  2. Oniga, I., Orha, I.: Hardware implemented neural networks used for hand gestures recognition.
    Carpathian J. Electr. Comp. Eng. 4 1, 2011.
  3. Chiver, O., Neamt, L., Horgos, M., Oniga, I., Buchman, A.: The Study of Transient Regimes for a Shell-Type Transformer.
    Carpathian J. Electr. Comp. Eng. 4 23-26, 2011.
2010
  1. Oniga, I., Tisan, A., Lung, C., Buchman, A., Orha, I.: Adaptive Hardware-Software Co-Design Platform for Fast Prototyping of Embedded Systems.
    12th International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2010 1004-1009, 2010.
  2. Tisan, A., Cirstea, M., Oniga, I., Buchman, A.: Artificial olfaction system with hardware on-chip learning neural networks.
    OPTIM. 884-889, 2010.
  3. Tisan, A., Cirstea, M., Buchman, A., Parera, A., Oniga, I., Ilea, D.: Holistic modeling, design and optimal digital control of a combined renewable power system.
    Proceeding of the IEEE International Symposium on Industrial Electronics 2733-2738, 2010.
2009
  1. Oniga, I., Tisan, A., Mic, D., Lung, C., Orha, I., Buchman, A., Vida-Ratiu, A.: FPGA implementation of feed-forward neural networks for smart devices development.
    International Symposium on Signals, Circuits and Systems ISSCS 2009, Iasi, Romania, 9-10 July 2009 401-404, 2009.
  2. Mic, D., Tisan, A., Oniga, I., Lung, C., Sabău, S.: The Development of a Simulink Library with FPGA Compatible Parametric Components for Electric Machines Control.
    In: International Symposium on Signals, Circuits, and Systems, 2009, IEEE, New York, [4], 2009.
2008
  1. Mic, D., Oniga, I., Micu, E., Lung, C.: Complete hardware/software solution for implementing the control of the electrical machines with programmable logic circuits.
    In: 11th International Conference on Optimization of Electrical and Electronic Equipment, IEEE, Piscataway, NJ, 107-114, cop. 2008.
  2. Tisan, A., Oniga, I., Gavrincea, C., Buchman, A.: FPGA implementation of a self-organized map with on-chip learning.
    International Conference on Optimization of Electrical and Electronic Equipment (11.)(2008)(Brașov, Romania) 81-86, 2008.
  3. Oniga, I., Tisan, A., Mic, D., Buchman, A., Vida-Ratiu, A.: Optimizing FPGA implementation of Feed-Forward Neural Networks.
    11th International Conference on Optimization of Electrical and Electronic Equipment 31-36, 2008.
  4. Buchman, A., Lungu, S., Oniga, I., Tisan, A.: Ultrasonic Echo Detection: experiments Using Large Beam Angle Transducers in Narrow Tubes.
    Reliability and life-time prediction 31st International Spring Seminar on Electronics Technology, May 7-11, 2008, Budapest, Hungary 111-116, 2008.
2007
  1. Tisan, A., Buchman, A., Oniga, I., Gavrincea, C.: A generic control block for feedforward neural network with on-chipdelta rule learning algorithm.
    In: 30th International Spring Seminar on Electronics Technology : Emerging Technologies for Electronics Packaging : May 9-13, 2007, Cluj-Napoca, Romania : conference proceedings, IEEE, Piscataway, 567-570, 2007.
  2. Tisan, A., Oniga, I., Buchman, A., Gavrincea, C.: Architecture and algorithms for syntetizable neural networks withon-chip learning.
    1 (2007), p. 1-4. 2007.
  3. Oniga, I., Tisan, A., Mic, D., Buchman, A., Vida-Ratiu, A.: Hand postures recognition system using artificial neural networksimplemented in FPGA.
    In: 30th International Spring Seminar on Electronics Technology : Emerging Technologies for Electronics Packaging : May 9-13, 2007, Cluj-Napoca, Romania : conference proceedings, IEEE, Piscataway, 507-512, 2007.
  4. Gavrincea, C., Tisan, A., Buchman, A., Oniga, I.: Survey of wavelet based denoising filter design.
    30th International Spring Seminar on Electronics Technology : Emerging Technologies for Electronics Packaging : May 9-13, 2007, Cluj-Napoca, Romania : conference proceedings 112-116, 2007.
  5. Buchman, A., Lungu, S., Oniga, I., Tisan, A.: Ultrasonic Data Acquisition: Signal to noise ratio improvement.
    In: 30th International Spring Seminar on Electronics Technology : Emerging Technologies for Electronics Packaging : May 9-13, 2007, Cluj-Napoca, Romania : conference proceedings, IEEE, Piscataway, 393-398, 2007.
2006
  1. Mic, D., Micu, E., Oniga, I.: Hardware and software co-design method for implementation of closed loop control for a brushless DC motor.
    In: 10th International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2006, May 18-19, 2006. Ed.: by M. Cernat, A. Nicolaide, I. Margineanu, Brasov (Romania), Transilvania Univ Press, 59-66, 2006.
2004
  1. Oniga, I., Tiponuț, V., Buchman, A., Mic, D.: Adaptive Interfaces Based on FPGA Implemented Artificial Neural Network.
    Buletinul Stiintific al Universitatii Politehnica din Timisoara-seria electronica si telecomunicatii. 49 (63), 236-240, 2004.
feltöltött közlemény: 96 Open Access: 35
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