Open Access
Issue
E3S Web Conf.
Volume 477, 2024
International Conference on Smart Technologies and Applied Research (STAR'2023)
Article Number 00042
Number of page(s) 9
DOI https://doi.org/10.1051/e3sconf/202447700042
Published online 16 January 2024
  1. I. Moumen, N. Rafalia, J. Abouchabaka, and M. Aoufi, “Real-time GPS Tracking System for IoTEnabled Connected Vehicles,” E3S Web of Conferences, vol. 412, Aug. 2023, doi: 10.1051/E3SCONF/202341201095. [Google Scholar]
  2. F. Margret Sharmila, P. Suryaganesh, M. Abishek, and U. Benny, “Iot Based Smart Window using Sensor Dht11,” 2019 5th International Conference on Advanced Computing and Communication Systems, ICACCS 2019, pp. 782–784, Mar. 2019, doi: 10.1109/ICACCS.2019.8728426. [Google Scholar]
  3. M. Babiuch, P. Foltynek, and P. Smutny, “Using the ESP32 microcontroller for data processing,” Proceedings of the 2019 20th International Carpathian Control Conference, ICCC 2019, May 2019, doi: 10.1109/CARPATHIANCC.2019.8765944. [Google Scholar]
  4. A. Maier, A. Sharp, and Y. Vagapov, “Comparative analysis and practical implementation of the ESP32 microcontroller module for the internet of things,” 2017 Internet Technologies and Applications, ITA 2017 - Proceedings of the 7th International Conference, pp. 143–148, Nov. 2017, doi: 10.1109/ITECHA.2017.8101926. [Google Scholar]
  5. R. I. S. Pereira, S. C. S. Juca, P. C. M. Carvalho, and C. P. Souza, “IoT Network and Sensor Signal Conditioning for Meteorological Data and Photovoltaic Module Temperature Monitoring,” IEEE Latin America Transactions, vol. 17, no. 6, pp. 937–944, Jun. 2019, doi: 10.1109/TLA.2019.8896816. [CrossRef] [Google Scholar]
  6. K. Sharma and K. Gupta, “Lossless data compression techniques and their performance,” Proceeding - IEEE International Conference on Computing, Communication and Automation, ICCCA 2017, vol. 2017-January, pp. 256–261, Dec. 2017, doi: 10.1109/CCAA.2017.8229810. [Google Scholar]
  7. A. Gopinath and M. Ravisankar, “Comparison of Lossless Data Compression Techniques,” Proceedings of the 5th International Conference on Inventive Computation Technologies, ICICT 2020, pp. 628–633, Feb. 2020, doi: 10.1109/ICICT48043.2020.9112516. [Google Scholar]
  8. W. K. Ng, S. Choi, and C. Ravishankar, “Lossless and Lossy Data Compression,” Evolutionary Algorithms in Engineering Applications, pp. 173–188, 1997, doi: 10.1007/978-3-662-03423-1_10. [Google Scholar]
  9. A. Singh Sidhu MTech and E. Meenakshi Garg MTech, “International Journal of Computer Science and Mobile Computing Research Paper on Text Data Compression Algorithm using Hybrid Approach,” International Journal of Computer Science and Mobile Computing, vol. 3, 2014, Accessed: Oct. 18, 2023. [Online]. Available: www.ijcsmc.com [Google Scholar]
  10. A. V. Singh and G. Singh, “A Survey on Different text Data Compression Techniques,” International Journal of Science and Research (IJSR) ISSN, vol. 3, 2012, Accessed: Oct. 18, 2023. [Online]. Available: www.ijsr.net [Google Scholar]
  11. I. Parithit, A. Professor, and K. Ramakrishnan college, “PERFORMANCE ANALYSIS ON LOSSLESS IMAGE COMPRESSION TECHNIQUES FOR GENERAL IMAGES”, doi: 10.12732/ijpam.v117i10.1. [Google Scholar]
  12. B. Vijayalakshmi and N. Sasirekha, “LOSSLESS TEXT COMPRESSION FOR UNICODE TAMIL DOCUMENTS,” ICTACT JOURNAL ON SOFT COMPUTING, p. 2, 2018, doi: 10.21917/ijsc.2017.0227. [Google Scholar]
  13. J. C. Mogul, F. Douglis, A. Feldmann, and B. Krishnamurthy, “Potential benefits of delta encoding and data compression for HTTP,” ACM SIGCOMM Computer Communication Review, vol. 27, no. 4, pp. 181–184, Oct. 1997, doi: 10.1145/263109.263162. [CrossRef] [Google Scholar]
  14. V. G. Savani, P. M. Bhatasana, and A. I. Mecwan, “Implementation of Data Compression Algorithms on FPGA using Soft-core Processor,” International Journal of Advancements in Technology, vol. 3, no. 4, p. 270, 2012, Accessed: Oct. 18, 2023. [Online]. Available: http://ijict.org/ [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.