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Al-Busaidi, Sayyid Samir
- On Properties of PN Sequences generated by LFSR – a Generalized Study and Simulation Modeling
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Authors
Affiliations
1 Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, P. O. Box 33, Postal Code 123; Muscat, OM
1 Department of Electrical and Computer Engineering, College of Engineering, Sultan Qaboos University, P. O. Box 33, Postal Code 123; Muscat, OM
Source
Indian Journal of Science and Technology, Vol 6, No 10 (2013), Pagination: 5351-5358Abstract
This paper presents a study and developed simulation models for testing properties of pseudo-noise sequences. A generalized approach is considered while presenting the study of properties of pseudo-noise sequences. On the other hand MATLAB SIMULINK which a commonly available computing platform is used to develop the simulation models for testing the properties of pseudo-noise sequences.Keywords
LFSR, PN Sequence, MATLAB, Autocorrelation, Run LengthFull Text
References
- Ahmad A (2012). Better PN generators for CDMA application – a Verilog-HDL implementation approach, International Journal of Information Engineering (IJIE), vol 2(1), 6–11.
- Ahmad A, Al-Abri D et al. (2012). Adding pseudo-random test sequence generator in the test simulator for DFT approach, Journal of Computer Technology and Applications (JCTA), vol 3(7), 463–470.
- Ahmad A, and Hayat L (2011). Selection of polynomials for cyclic redundancy check for the use of high speed embedded – an algorithmic procedure, Transactions on Computers (WSEAS), vol 10(1), 16–20.
- Ahmad A (2010). A simulation experiment on a built-in self test equipped with pseudorandom test pattern generator and Multi-Input Shift Register (MISR), International Journal of VLSI Design & Communication Systems, vol 1, No. 4, 1–12.
- Ahmad A, and Al-Balushi J (2009). How to design an effective Serial Input Shift Register (SISR) for data compression process of built-in self-test methodology, Proceedings 4th International Design and Test Workshop (IDT’09) held at King Abdul Aziz City for Science and Technology (KAASAT), Riyadh, Saudi Arabia. 372–379.
- Al-Naamany A M, and Ahmad A (2003). Development of a strong stream ciphering technique using non-linear fuzzy logic selector, Mobile and Wireless Communications, IFIP — The International Federation for Information Processing, vol 106, 199–206.
- Ahmad A, Al-Musharafi M J et al. (2002). Design and study of a strong stream crypto-system model for e-commerce, Proceeding ICCC ‘02 Proceedings of the 15th International Conference on Computer Communication, vol 1, 619–630.
- Jamil T, and Ahmad A (2002). An investigation in to the application of linear feedback shift registers for steganography, Proceedings IEEE SoutheastCon2002, Columbia, SC, USA, 239–244.
- Ahmad A, Al-Musharafi M J et al. (2001). An NLFSR based sequence generator for stream ciphers, Proceedings (SETA’01) - An International Conference on Sequences & Their Applications, Norway (Bergen), 11–13.
- Golic J D (2000). Cryptanalysis of three mutually clock-controlled stop/go shift registers, IEEE Transactions on Information Technology, vol 46, No. 3, 1081–1090.
- Ahmad A (1997). Achievement of higher testability goals through the modification of shift register in LFSR based testing, International Journal of Electronics (UK), vol 82, No. 3, 249–260.
- Chen H W, Aine C J E et al. (1996). Nonlinear analysis of biological systems using short m-sequences and sparse-simulation techniques, Annals of Biomedical Engineering, vol 24, 513–536.
- Golomb S W (1982). Shift Register Sequences, Aegean Park Press, Revised Edition.
- Ahmad A, Nanda N K et al. (1990). Are primitive polynomials always best in signature analysis?, IEEE Design & Test of Computers (USA), vol 7, No.4, 36–38.
- Blum L, Blum M et al. (1986). A simple unpredictable pseudo-random number generator, SIAM Journal of Computing, vol 15, No. 2, 364–383.
- Ahmad A, Nanda N K et al. (1988). A critical role of primitive polynomials in an LFSR based testing technique, IEE Electronics Letters (UK), vol 24(15), 953–955.
- Ahmad A, Al-Busaidi S S et al. (2013). Study on cyclic cross-correlation behavior of maximal length pseudo-random binary sequences, Indian Journal of Industrial and Applied Mathematics (Taylor & Francis), vol 4(1), 33–43.
- Ahmad A, and Al-Abri D (2012). Design of a pseudo-random binary code generator via a developed simulation model, International Journal on Information Technology (ACEEE - Journal), vol 2(1), 33–36.
- Ahmad A (2011). Investigation of some quite interesting divisibility situations in a signature analyzer implementation, Transactions on Circuits and Systems (WSEAS), vol 10 (9), 299–308.
- Ahmad A (1998). An algorithmic generation of sparse primitive polynomials of order n, International Wireless and Telecommunication Symposium (IWATS’98), Shah Alam (Malaysia).
- Ahmad A, and Elabdalla A M (1997). An efficient method to determine linear feedback connections in shift registers that generate maximal length pseudo-random up and down binary sequences, Computer & Electrical Engineering (Elsevier), vol 23(1), 33–39.
- Ahmad A, and Al-Maashri A (2008). Investigating some special sequence length generated through an external exclusive-NOR type LFSRs, International Journal Electrical and Computer Engineering, vol 34(1), 270–280.
- Ahmad A (2003). Realization of a stream cipher with better security and higher reliability goals, 2nd International Conference on Quality, Reliability and Information Technology - Trends and Future Directions, 18–21, 77–78.
- Ahmad A, Al-Busaidi S et al. (2003). Measurement techniques of LFSR sequences, Proceedings International Symposium on Wireless Systems and Networks (ISWSN’03), King Fahad University of Petroleum - Dahran, Kingdom of Saudi Arabia, 1–5.
- Ahmad A, Nanda N K et al. (1989). The use of irreducible characteristic polynomials in an LFSR based testing of digital circuits, Proceedings of 4th IEEE International Conference of Region 10 (TENCON-89), 494–496.
- Ahmad A, Ahmed Al-Mashari et al. (2009). On locking conditions in M-sequence generators for the use in digital watermarking, Proceedings International Conference on Methods and Models in Computer Science (ICM2CS09) held at School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi, India, 111–115.
- Ahmad A, Al-Musharafi M J et al. (2001). Study and implementation of properties of m-sequences in MATLAB-SIMULINK – A pass / fail test tool for designs of random generators, Proceedings IEEE / IEE International Conference on Communication, Computer and Power (ICCCP’01), Oman, 191–196.
- Ahmad A, Al-Musharafi M J et al. (2002). Study and implementation of properties of m-sequences in MATLAB-SIMULINK – A pass / fail test tool for designs of random generators, Journal of Scientific Research – Science and Technology, vol 7 (part 1), 147–156.
- Al-Lawati A, and Ahmad A (2004). Realization of a simplified controllability computation procedure – a MATLAB-SIMULINK based tool, Sultan Qaboos University Journal for Scientific Research - Science and Technology, Oman, vol 8, 131–143.
- Ahmad A, and Ruelens D (2013). Development of digital logic design teaching tool using MATLAB & SIMULINK, IEEE Technology and Engineering Education (ITEE), vol 8, No. 1, 7–12.
- Ahmad A, Ruelens D et al. (2013). Development of verification tool for minimal Boolean equation, IEEE Technology and Engineering Education (ITEE), vol 8, No. 3.
- MATLAB: Available from: http://www.mathworks.com/
- Use of Mathematical Morphology in Vehicle Plate Detection
Abstract Views :187 |
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Authors
Neeraja Mohanan
1,
Afaq Ahmad
1,
Sayyid Samir Al-Busaidi
1,
Lazhar Khiriji Amir Abdulghani
1,
Muhammad Al Nadabi
1
Affiliations
1 Department of Electrical and Computer Engineering, Sultan Qaboos University, PO Box 33, Zip code 123, Muscat, OM
1 Department of Electrical and Computer Engineering, Sultan Qaboos University, PO Box 33, Zip code 123, Muscat, OM
Source
Oriental Journal of Computer Science and Technology, Vol 11, No 4 (2018), Pagination: 195-200Abstract
In the past couple of decades, the number of vehicles has increased radically. A statistic which presents the number of cars sold worldwide from 1990 through 2017, forecasts for 2018, some 81.6 million automobiles are expected to be sold by the end 2018. With this continuous increase, it is becoming very tedious to keep track of each vehicle for the purpose of security, law enforcement and traffic management. This phenomenon of rapidly increasing vehicles on the road highlights the importance for a vehicle number plate recognition system. By recognizing the car plates, the drivers of the vehicle can be identified from the database. Number plate detection system are used in various applications like traffic law maintenance, traffic control, automatic toll collection, parking systems, automatic gate openers. This paper presents a unique algorithmic procedure for detecting vehicle plate number which is based on the concept of mathematical morphology. The developed algorithm is simple, efficient and flexible. The algorithm is capable of working satisfactorily even in different constraints such as like rain, smoke and shadow. This user-friendly software tool is developed on MATLAB platform which is one of the common and efficient image processing analysis tools.Keywords
Image Processing, Mathematical Morphology, Set Theory, Vehicle Number Plate Recognition, Algorithm, MATLAB.Full Text
References
- Sushama, H. B.; Gadicha, A. B. A review paper on Vehicle Number Plate Recognition (VNPR) using improved character segmentation method, International Journal of Scientific and Research Publications, Volume 3 (12), 2013, pp.1–2.
- Amar, B.; Mohammed, M. A.; Ahmed, M. T.; Ahmed, M. A. Automatic number plate recognition system, Annals of the University of Craiova, Mathematics and Computer Science Series, Volume 38 (1), 2011pp. 62–71.
- Cris, L.; Structure Characterization Using Mathematical Morphology, Project Report, Delft University of Technology, January 2004.
- Sreedhar, K.; Panlal, B. Enhancement of images using morphological transformations, International Journal of Computer Science & Information Technology, Volume 4 (1), 2012, pp. 33-50.
- Mugdha, A. R.; Fast Morphological Image Processing on GPU Using CUDA, College of Engineering, Pune, Dissertation 2013.
- Vakken, Chapter 6, Mathematical Morphology, pp. 121-162.(Accessed on December 16, 2018) http://www.cs.uu.nl/docs/vakken/ibv/reader/chapter6.pdf
- Owens, R. Mathematical morphology, computer vision lectures. (Accessed on December 16, 2018) http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/OWENS/LECT3/node3.html
- Sai, K. P. Automatic number plate recognition by using MATLAB, International Journal of Innovative Research in Electronics and Communications, Volume 2 (4), 2015, pp. 1-7.
- Jayanta, K. B.; Debnath, B.; Tai-hoon, K. Use of artificial neural network in pattern recognition, International Journal of Software Engineering and Its Applications, Volume 4 (2), 2010, pp. 23-34.
- Mohammed, A. Q. Template matching method for recognition musnad characters based on correlation analysis, Department of Computer Science, Amran University, Yemen. (Accessed on December 16, 2018) https://repository.nauss.edu.sa/bitstream/handle/123456789/55486/Template%20Matching%20Method%20for%20Recognition%20Musnad%20Characters%20Based%20on%20Correlation%20Analysis.pdf?sequence=1&isAllowed=y
- Muhammad, F. H.; Puteh, S.; Mohammad, R. M. J.; Shahrul, N. Y. A Face recognition system using template matching and neural network classifier, In Proceedings: 1st International Workshop on Artificial Life and Robotics, Kolej Universiti Kejuruteraan Utara Malaysia, 2005, pp. 1-6. ISBN: 9834272413, 9789834272418.
- Neeraja, M.; Afaq A.; Amir, A.; Muhammed A.; Lazhar K.; Samir A. A brief description of pattern recognition techniques, Imperial Journal of Interdisciplinary Research, Volume 2 (8), 2016, pp. 717-72.