IoT Utilized Gas-Leakage Monitoring System with Adaptive Controls Applicable to Dual Fuel Powered Naval Vessels/Ships: Development & Implementation

1. Wang, J., M. Tong, X. Wang, Y. Ma, D. Liu, J. Wu, D. Gao, G. Du. Preparation of H2 and LPG Gas Sensor. – Sensors and Actuators B: Chemical, Vol. 84, 2002, pp. 95-97.10.1016/S0925-4005(01)01065-6Search in Google Scholar

2. Amin, M. M., M. A. A. Nugratama, A. Maseleno, M. Huda, K. A. Jasmi. Design of Cigarette Disposal Blower and Automatic Freshner Using mq-5 Sensor Based on Atmega 8535 Microcontroller. – International Journal of Engineering & Technology, Vol. 7, 2018, No 3, pp. 1108-1113.10.14419/ijet.v7i3.11917Search in Google Scholar

3. Sinha, N., K. E. Pujitha, J. S. R. Alex. Xively Based Sensing and Monitoring System for IoT. – In: International Conference on Computer Communication and Informatics (ICCCI’15), IEEE, 2015, pp. 1-6.10.1109/ICCCI.2015.7218144Search in Google Scholar

4. Mallik, A., S. A. Hossain, A. B. Karim, S. M. Hasan. Development of LOCAL-IP Based Environmental Condition Monitoring Using Wireless Sensor Network. – International Journal of Sensors, Wireless Communications and Control, Vol. 9, 2019, No 4, pp. 454-461.10.2174/2210327909666190208161832Search in Google Scholar

5. Keshamoni, K., S. Hemanth. Smart Gas Level Monitoring, Booking & Gas Leakage Detector over IoT. – In: Proc. of IEEE, 7th International Advance Computing Conference (IACC’17), IEEE, 2017, pp. 330-332.10.1109/IACC.2017.0078Search in Google Scholar

6. Mallik, A., A. Ahsan, M. M. Z. Shahadat, J. C. Tsou. Man-in-the-Middle-Attack: Understanding in Simple Words. – International Journal of Data and Network Science, Vol. 3, 2019, No 2, pp. 77-92.10.5267/j.ijdns.2019.1.001Search in Google Scholar

7. Yadav, V., A. Shukla, S. Bandra, V. Kumar, U. Ansari, S. Khanna. A Review on Iot Based Hazardous Gas Leakage Detection & Controlling System Using Microcontroller & Gsm Module. – Journal of VLSI Design and Signal Processing, Vol. 3, 2017, No 1.Search in Google Scholar

8. Sharma, M., D. Tripathi, N. P. Yadav, P. Rastogi. Gas Leakage Detection and Prevention Kit Provision with IoT. – Gas, Vol. 5, 2018, No 02.Search in Google Scholar

9. Kukade, M. V., A. J. Moshayedi, D. C. Gharpure. Electronic-nose (E-nose) for Recognition of Cardamom, Nutmeg and Clove Oil Odor. – Electron. Its Interdiscip. Appl. (NCAEIA-2014), 2014.Search in Google Scholar

10. Alekseev, V. V., V. S. Konovalova, E. N. Sedunova. Information-Measurement and Control System “Smart House” as Object of Practice-Oriented Training of Master’s Degree “Instrumentation Technology”. – In: 2017 International Conference, Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS’17), IEEE, 2017, pp. 612-615.10.1109/ITMQIS.2017.8085899Search in Google Scholar

11. Sabilla, S. I., R. Sarno, J. Siswantoro. Estimating Gas Concentration Using Artificial Neural Network for Electronic Nose. – Procedia Computer Science, Vol. 124, 2017, pp. 181-188.10.1016/j.procs.2017.12.145Search in Google Scholar

12. Tsang, Y. P., K. L. Choy, C. H. Wu, G. T. S. Ho, H. Y. Lam, P. S. Koo. An IoT-Based Cargo Monitoring System for Enhancing Operational Effectiveness under a Cold Chain Environment. – International Journal of Engineering Business Management, Vol. 9, 2017. https:boi.org/10/177/184797901774906310.1177/1847979017749063Search in Google Scholar

13. Karim, A. B., A. Z. Hasan, M. M. Akanda. Monitoring Food Storage Humidity and Temperature Data Using IoT. – MOJ Food Process Technol., Vol. 6, 2018, No 4, pp. 400-404.10.15406/mojfpt.2018.06.00194Search in Google Scholar

14. Shahadat, M. M. Z., A. Mallik, M. M. Islam. Development of an Automated Gas-Leakage Monitoring System with Feedback and Feedforward Control by Utilizing Iot. – Facta Universitatis, Series: Electronics and Energetics, Vol. 32, 2019, No 4, pp. 615-631.10.2298/FUEE1904615SSearch in Google Scholar

15. Brandt, A. A Signal Processing Framework for Operational Modal Analysis in Time and Frequency Domain. – Mecha. Sys. Sig. Process., Vol. 115, 2019, pp. 380-393.10.1016/j.ymssp.2018.06.009Search in Google Scholar

16. Young, E. D., K. Strom, A. F. Tsue, J. L. Usset, S. MacPherson, J. T. McGuire, D. R. Welch. Automated Quantitative Image Analysis for Ex Vivo Metastasis Assays Reveals Differing Lung Composition Requirements for Metastasis Suppression by KISS1. – Clinical & Experimental Metastasis, 2018, pp. 1-10.10.1007/s10585-018-9882-1592472629582202Search in Google Scholar

17. Mariani, S., L. Tarokh, I. Djonlagic, B. E. Cade, M. G. Morrical et al. Evaluation of an Automated Pipeline for Large-Scale EEG Spectral Analysis: The National Sleep Research Resource. – Sleep Medicine, Vol. 47, 2018, pp. 126-136.10.1016/j.sleep.2017.11.1128597652129803181Search in Google Scholar

18. Zawawi, T. N. S. T., A. R. Abdullah, W. T. Jin, R. Sudirman, N. M. Saad. Electromyography Signal Analysis Using Time and Frequency Domain for Health Screening System Task. – Int. J. Hum. Technol. Inter., Vol. 2, 2018, No 1, pp. 35-44.Search in Google Scholar

19. Gres, S., P. Andersen, C. Hoen, L. Damkilde. Orthogonal Projection-Based Harmonic Signal Removal for Operational Modal Analysis. – In: Structural Health Monitoring, Photogrammetry & DIC, Vol. 6, Springer, Cham, 2019, pp. 9-21.10.1007/978-3-319-74476-6_2Search in Google Scholar

20. Regalia, P. Adaptive IIR Filtering in Signal Processing and Control. Routledge, 2018.10.1201/9781315136653Search in Google Scholar

21. Boashash, B., A. Aïssa-El-Bey, M. F. Al-Sa’d. Multisensor Time-Frequency Signal Processing MATLAB Package: An Analysis Tool for Multichannel Non-Stationary Data. SoftwareX, 2018.10.1016/j.softx.2017.12.002Search in Google Scholar

22. Cohen, A. E. Automated HDL Signal Processing Deployment Performance from High Level MATLAB Specification for an Unmanned Aerial Vehicle (UAV). – In: Computing and Communication Workshop and Conference (CCWC’18), 2018 IEEE 8th Annual, IEEE, 2018, pp. 900-905.10.1109/CCWC.2018.8301664Search in Google Scholar

23. Van Drongelen, W. Signal Processing for Neuroscientists. Academic Press, 2018.Search in Google Scholar

24. Anchal, A., A. Jain, S. Ahmad, P. K. Krishnamurthy. Nonlinearity Mitigation in Coherent Optical Communication Systems: All-Optical and Digital Signal Processing Approaches. – In: Selected Topics in Photonics, Springer, Singapore, 2018, pp. 41-51.Search in Google Scholar

25. Ylimaz, U., A. Kircay, S. Borekci. PV System Fuzzy Logic MPPT Method and PI Control as a Charge Controller. – Renew. Sus. Ener. Rev., Vol. 81, 2018, pp. 994-1001.10.1016/j.rser.2017.08.048Search in Google Scholar

26. He, W., T. Meng, D. Huang, X. Li. Adaptive Boundary Iterative Learning Control for an Euler–Bernoulli Beam System with Input Constraint. – IEEE Trans. Neu. Net. Learn. Sys., Vol. 29, 2018, No 5, pp. 1539-1549.10.1109/TNNLS.2017.267386528320681Search in Google Scholar

27. Walczak, S. Artificial Neural Networks. – In: Advanced Methodologies and Technologies in Artificial Intelligence, Computer Simulation, and Human-Computer Interaction, IGI Global, 2019, pp. 40-53.10.4018/978-1-5225-7368-5.ch004Search in Google Scholar

28. Dworniczak, P. Some Applications of Intuitionistic Fuzzy Sets for the Determination of a Sociometric Index of Acceptance. – Cybernetics and Information Technologies, Vol. 12, 2012, No 1, pp. 70-77.10.2478/cait-2012-0006Search in Google Scholar

29. Pavlova, K., T. Stoilov, K. Stoilova. Bi-Level Model for Public Rail Transportation under Incomplete Data. – Cybernetics and Information Technologies, Vol. 17, 2017, No 3, pp. 75-91.10.1515/cait-2017-0031Search in Google Scholar

30. Radeva, I. Multicriteria Fuzzy Sets Application in Economic Clustering Problems. – Cybernetics and Information Technologies, Vol. 17, 2017, No 3, pp. 29-46.10.1515/cait-2017-0028Search in Google Scholar