Daniel Nemeth

Contact: nd [at] ndtech.hu

Mobile development (2018 - )

• Android development with Java
• WearOS development
• BKK_LITE
• Malacfogo iOS
• Link Parameter Trimmer
• Napi elmélkedés

IoT development (2017 - )

• Embedded systems (C, Arduino)
• ESP32, ESP8266, FPGA
• Raspberry Pi
• LEDCUBE
• Launchpad games
• Eink business card
• Wireless SD card reader for Kindle

Backend development (2022 - )

• Spring Boot, Java, PostgreSQL, Apache Kafka

Electrical Load Classification (2020 - )

• Smart Plug, Electrical Load Dimming, ESP32, RP2040
• TinyML, Edge Computing, Convolutional Neural Networks


• Németh, D. and Tornai, K. (2022). SP4LC: A Method for Recognizing Power Consumers in a Smart Plug. In Proceedings of the 11th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS, ISBN 978-989-758-572-2, pages 69-77. DOI: 10.5220/0010982800003203
• D. I. Németh and K. Tornai, "Detecting Unknown Electrical Loads Using Open Set Recognition," 2022 IEEE 10th International Conference on Smart Energy Grid Engineering (SEGE), Oshawa, ON, Canada, 2022, pp. 7-11, doi: 10.1109/SEGE55279.2022.9889770.
• Németh, D.I.; Tornai, K. Electrical Load Classification with Open-Set Recognition. Energies 2023, 16, 800. https://doi.org/10.3390/en16020800
• Németh, D.I., Tornai, K. (2023). Fast Electrical Load Classification Using a Dimmer-Based Smart Plug. In: Klein, C., Jarke, M., Ploeg, J., Helfert, M., Berns, K., Gusikhin, O. (eds) Smart Cities, Green Technologies, and Intelligent Transport Systems. SMARTGREENS VEHITS 2022 2022. Communications in Computer and Information Science, vol 1843. Springer, Cham. https://doi.org/10.1007/978-3-031-37470-8_4

GitHub

Copyright Daniel Nemeth 2023