INDEPENDENT CITATIONS
to the works of Dr. Attila Buchman
April 07, 2015
Architecture and algorithms for syntetizable neural networks with on-chip learning
A Tisan, S Oniga, A Buchman, C Gavrincea
8-th International Symposium on Signals, Circuits and Systems ISSCS 2007 1 ...
1. E Monmasson, L Idkhajine, MN Cirstea et all.: FPGAs in industrial control applications, Industrial
Informatics, IEEE Transactions on (Volume:7 , Issue: 2 ), 2011 - ieeexplore.ieee.org
2. Z Jin: Autonomously Reconfigurable Artificial Neural Network on a Chip, 2010, Doctoral
Dissertation, University of Pittsburgh.
3. S Sabou: MEMS-Based Inertial Measurement, Carpathian Journal of Electronic and Computer
Engineering 6/2 (2013) 38-41
4. N Naveenkumar, V Padmaja, C Nagadeepa : Implementation of Gesture Recognition System for
Home Automation using FPGA and ARM Controller, International Journal of Science and
Research (IJSR), Volume 4 Issue 2, February 2015
5. S Sabou, C Lung, I Orha: Inertial navigation module - Carpathian Journal of Electronic and
Computer Engineering 5 (2012) 97-100.
6. S Sebastian, L Claudiu, O Ioan: Inertial navigation modular system, Design and Technology in
Electronic Packaging (SIITME), 2012 IEEE 18th International Symposium for DOI:
10.1109/SIITME.2012.6384389 Page(s): 267- 270
Optimizing FPGA implementation of feed-forward neural networks
S Oniga, A Tisan, D Mic, A Buchman, A Vida-Ratiu
Optimization of Electrical and Electronic Equipment, 2008. OPTIM 2008. 11th
7. Z Jin: Autonomously Reconfigurable Artificial Neural Network on a Chip, 2010, Doctoral
Dissertation, University of Pittsburgh.
8. N Naveenkumar, V Padmaja, C Nagadeepa : Implementation of Gesture Recognition System for
Home Automation using FPGA and ARM Controller, International Journal of Science and
Research (IJSR), Volume 4 Issue 2, February 2015
9. M Bohrn: Perspektivní obvodové struktury pro modulární neuronové sítě, Doctoral Thesis, Brno
University Of Technology, 2014.
10. Claudiu, L., Sebastian, S., Cristian, B.: Smart sensor implemented with PicoBlaze multi-processors
technology, 2012 IEEE 18th International Symposium for Design and Technology of Electronics
Packages, SIITME 2012 - Conference Proceedings
Hand postures recognition system using artificial neural networks implemented in FPGA
S Oniga, A Tisan, D Mic, A Buchman, A Vida-Ratiu
11. AS Ghotkar, R Khatal, S Khupase: Hand gesture recognition for Indian Sign Language,Computer
Communication and Informatics (ICCCI), 2012 International Conference on.
12. K Tamee, K Chaiwong, K Yothapakdee: Muscle sensor model using small scale optical device for
pattern recognitions, The Scientific World Journal Volume 2013 (2013), Article ID 346047,
http://dx.doi.org/10.1155/2013/346047
13. Z Jin: Autonomously Reconfigurable Artificial Neural Network on a Chip, 2010, Doctoral
Dissertation, University of Pittsburgh.
14. ML Zavala-Arriaza, F Valdez, P Melin: Architecture of Modular Neural Network in Pattern
Recognition, Recent Advances on Hybrid Intelligent Systems, Studies in Computational
Intelligence Volume 451, 2013, pp 211-219 – Springer
15. N Naveenkumar, V Padmaja, C Nagadeepa : Implementation of Gesture Recognition System for
Home Automation using FPGA and ARM Controller, International Journal of Science and
Research (IJSR), Volume 4 Issue 2, February 2015
16. H Hikawa, K Kaida: Novel FPGA Implementation of Hand Sign Recognition System with SOMHebb Classifier, - 2015 -Circuits and Systems for Vide ... Volume:25 Issue:1
17. Guerrero-Balaguera, Juan David and Perez-Holguin, Wilson Javier: Sistema traductor de la lengua
de señas colombiana a texto basado en FPGA. Dyna rev.fac.nac.minas [online]. 2015, vol.82, n.189
[cited 2015-04-07], pp. 172-181 .
FPGA implementation of feed-forward neural networks for smart devices development S
Oniga, A Tisan, D Mic, C Lung, I Orha, A Buchman, A Vida-Ratiu Signals, Circuits and Systems, 2009.
ISSCS 2009. International Symposium on, 1-4
18. Z Jin: Autonomously Reconfigurable Artificial Neural Network on a Chip, 2010, Doctoral
Dissertation, University of Pittsburgh.
19. XJ Li, L Li: IP core based hardware implementation of multi-layer perceptrons on FPGAs: a
parallel approach, International Conference on Materials Science and Information Technology
(MSIT 2011) Singapore SEP 16-18, 2011
20. MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8 Book Series: Advanced
Materials Research Volume: 433-440 Pages: 5647-5653 Published: 2012.
21. N Naveenkumar, V Padmaja, C Nagadeepa : Implementation of Gesture Recognition System for
Home Automation using FPGA and ARM Controller, International Journal of Science and
Research (IJSR), Volume 4 Issue 2, February 2015.
22. MA Çavuşlu, Y Becerikli, C Karakuzu: Levenberg-Marquardt Algoritması ile YSA Eğitiminin
Donanımsal Gerçeklenmesi - TÜRKİYE BİLİŞİM VAKFI …, 2012 - bmbb.info
Digital implementation of the sigmoid function for FPGA circuits
A Tisan, S Oniga, D Mic, A Buchman
ACTA TECHNICA NAPOCENSIS Electronics and Telecommunications 50 (2), 6
23. K Lakshmi, M Subadra: A survey on FPGA based MLP realization for on-chip learning - Int. J.
Sci. Eng. Res, 2013 - ijser.org
24. MA Sartin, ACR Da Silva: Approximation of hyperbolic tangent activation function using hybrid
methods, Reconfigurable and Communication-Centric Systems-on-Chip (ReCoSoC), 2013 8th
International Workshop on, 2013 - ieeexplore.ieee.org
25. TM Jamel, BM Khammas: Implementation of a sigmoid activation function for neural network
using FPGA – in 13th Scientific Conference of Al-Ma'moon University College -18 April 2012 –
Baghdad , Iraq
26. AAB Raj, AJV Selvi, KD Durai: Intensity feedback-based beam wandering mitigation in free-space
optical communication using neural control technique - EURASIP Journal on Wireless
Communications and Networking, October 2014 – Springer.
27. S EL MOUKHLIS, A ELRHARRAS, A HAMDOUN: FPGA Implementation of Artificial Neural
Networks - International Journal of Computer Science Issues, Vol. 11, Issue 2, No 1, March 2014.
28. S Jeyanthi, M Subadra: Implementation of single neuron using various activation functions with
FPGA - Advanced Communication Control and Computing Technologies (ICACCCT), 2014
International Conference on, 8 -10 May 2014, Page(s):1126 - 1131 - ieeexplore.ieee.org.
29. S El Moukhlis, A Elrharras, A Hamdoun: FPGA-Based Handwritten Signature Recognition
System - International Journal of Innovative Technology and Exploring Engineering (IJITEE),
ISSN: 2278-3075, Volume-3, Issue-11, April 2014 - ijitee.org
30. MA Sartin, ACR da Silva: ANN in Hardware with Floating Point and Activation Function Using
Hybrid Methods - Journal of Computers, Vol 9, No 10 (2014), 2258-2265, Oct 2014 doi:10.4304/jcp.9.10.2258-2265
31. JA Caballero Hernández, M Díaz Salazar et all.: Implementación de la Función Sigmoidal
Logarítmica en un FPGA - Ingeniería Electrónica, Automática y Comunicaciones, versión ISSN
1815-5928, EAC vol.35 no.2 La Habana Mayo. 2014.
Adaptive hardware-software co-design platform for fast prototyping of embedded
systems S Oniga, A Tisan, C Lung, A Buchman, I Orha
Optimization of Electrical and Electronic Equipment (OPTIM), 2010 12th ..
32. B Alecsa, A Onea: Hardware-Software Co-Design for BLDC Motor Speed Controller Design Advanced Materials Research (Volumes 463-464), Chapter 15: Computer-Aided Design,
Manufacturing and Engineering, pp. 1256-1259, DOI: 10.4028/www.scientific.net/AMR.463464.1256.
33. JV József, D Drótos, J Turán, J Végh: Processors, FPGAs, SOCs, trends and questions Carpathian Journal of Electronic and Computer Engineering 5 (2012) 149-152 - ece.ubm.ro
Wireless data acquisition system for IoT applications C Lung, S Oniga, A Buchman, A Tisan
Carpathian Journal of Electronic and Computer Engineering 6 (1), 64-67
34. OC Santos, JG Boticario: Exploring Arduino for building educational context-aware recommender
systems that deliver affective recommendations in social ubiquitous networking environments 15th International Conference on Web-Age Information Management (WAIM), Macau, P.R.
CHINA, JUN 16-18, 2014, Book Series: Lecture Notes in Computer Science Volume: 8597
Pages: 272-286 Published: 2014 – Springer
35. T Bérczes, B Almási, J Sztrik, A Kuki: Modeling the RF Communication in Sensor Networks by
using Finite-Source Retrial Queueing System, SCIENTIFIC BULLETIN of The POLITEHNICA
University of Timişoara, Romania, Transactions on AUTOMATIC CONTROL and COMPUTER
SCIENCE, Vol. 58 (72), No. 2-4, June-December 2013, ISSN 1224-600X.
Artificial olfaction system with hardware on-chip learning neural networks
A Tisan, M Cirstea, S Oniga, A Buchman
Optimization of Electrical and Electronic Equipment (OPTIM), 2010 12th ..
36. E Monmasson, L Idkhajine, MN Cirstea et all.: FPGAs in industrial control applications, - Industrial
Informatics, IEEE Transactions on (Volume:7 , Issue: 2 ), 2011 - ieeexplore.ieee.org
37. B Zamanlooy, M Mirhassani: Efficient hardware implementation of threshold neural networks Published in: New Circuits and Systems Conference (NEWCAS), 2012 IEEE 10th International,
17-20 June 2012, Page(s): 1 - 4 - ieeexplore.ieee.org
38. B Zamanlooy, M Mirhassani: CVNS Synapse Multiplier for Robust Neurochips With On-Chip
Learning - Very Large Scale Integration (VLSI) Systems, IEEE Transactions on - (Volume:PP ,
Issue: 99 ) 04 December 2014 - ieeexplore.ieee.org
A Generic Control Block for Feedforward Neural Network with On-Chip Delta Rule
Learning Algorithm
A Tisan, A Buchman, S Oniga, C Gavrincea
Electronics Technology, 30th International Spring Seminar on, 567-570
39. L Aguiar, L Reis, FM Dias: Neuron Implementation Using System Generator - NEURON, 2010 cee.uma.pt
40. L Reis, L Aguiar, D Baptista, FM Dias: ANGE–Automatic Neural Generator - Artificial Neural
Networks and Machine Learning – ICANN 2011, Lecture Notes in Computer Science Volume
6792, 2011, pp 446-453 – Springer.
41. L Reis, L Aguiar, D Baptista, F Morgado-Dias: A Software Tool for Automatic Generation of
Neural Hardware - The International Arab Journal of Information Technology, Vol. 11, No. 3, May
2014.
An overview of hardware platforms used in wireless sensor nodes
A Buchman
Computer Science 1 (1)
42. T Bérczes, B Almási, J Sztrik et all.: A contribution to modeling sensor communication networks
by using finite-source queueing systems - Applied Computational Intelligence and Informatics
(SACI), 2013 IEEE 8th International Symposium on., 23-25 May 2013, Page(s): 89 - 93 ieeexplore.ieee.org.
43. AM Al-Busaidi, L Khriji: Wearable wireless medical sensors toward standards, safety and
intelligence: a review - International Journal of Biomedical Engineering and Technology
Inderscience Publishers, Volume 14, Number 2/2014.
44. T Bérczes, B Almási, J Sztrik, A Kuki: Modeling the RF Communication in Sensor Networks by
using Finite-Source Retrial Queueing System - SCIENTIFIC BULLETIN of The POLITEHNICA
University of Timişoara, Romania, Transactions on AUTOMATIC CONTROL and COMPUTER
SCIENCE, Vol. 58 (72), No. 2-4, June-December 2013, ISSN 1224-600X.
45. T Bérczes, B Almási, A Kuki et all.: The effect of RF unit breakdowns in sensor communication
networks - Infocommunications 2013 - infocommunications.hu
Holistic modeling, design and optimal digital control of a combined renewable power
system
A Tisan, M Cirstea, A Buchman, A Parera, S Oniga, D Ilea
Industrial Electronics (ISIE), 2010 IEEE International Symposium on, 2733-2738
46. BMM Mwinyiwiwa, MJ Manyahi, N Gregory, AL Kyaruzi: Conceptual Synthesis of Multi-Source
Renewable Energy Based Microgrid - World Academy of Science, Engineering and Technology,
International Journal of Electrical, Computer, Electronics and Communication Engineering Vol:7,
No:12, 2013.
Survey of wavelet based denoising filter design
GC Gavrincea, A Tisan, A Buchman, S Oniga
Electronics Technology, 30th International Spring Seminar on, 112-116
47. S Kondakci: Can Random Noise Injection Eliminate Noise? - 2014 - Proceedings of the 11th
International Conference on Informatics in Control, Automation and Robotics (ICINCO-2014),
pages 604-611 - researchgate.net
48. J Lerga, V Sucic, D Sersic: Image denoising based on the one-dimensional LPA-RICI method International Symposium Electronics in Marine ELMAR'09, 28-30 Sept. 2009, Page(s): 57 – 60,
Zadar, 2009 - ieeexplore.ieee.org
49. M Arora, S Bashani, KK Gupta et all.: Wavelet denoising: Comparative analysis and optimization
using machine learning - Industrial and Information Systems (ICIIS), 2014 9th International
Conference on., Gwalior 15-17 Dec. 2014, Page(s): 1 – 6 - ieeexplore.ieee.org
FPGA Implementation of a Linearization Algorithm for Sharp GP2D120 Range Sensor.
C Lung, S Sabou, I Orha, A Buchman Carpathian Journal of Electronic & Computer Engineering 3 (1)
50. B Alecsa, A Onea: Hardware Controllers for Data Acquisition with Usage in FPGA
Implementation of Control Systems - Carpathian Journal of Electronic and Computer Engineering
4 (2011) 5-12.
On the relationship between received signal strength and received signal strength index
of IEEE 802.11 compatible radio transceivers
A Buchman, C Lung
Carpathian Journal of Electronic and Computer Engineering 6 (2), 15-20
51. Z Gál, B Almási, T Dabóczi, et all.: Internet of Things: Application areas and Research Results of
the FIRST Project - Infocommunications Journal, 2014.
Intelligent Home Technologies: Measuring the Quality of the Electric Current Consumed
by Home Appliances
A Buchman, C Lung
Advances in Wireless Sensor Networks 2013, Conference Proceedings, 59-64
52. Z Gal, T Balla, AS Karsai: Sensor based analysis of the WiFi interference - pp. 13-20, Advances
on Wireless Sensor Networks 2013 - itk.tek.unideb.hu