Archive

Abstract:

Introducing the idea of Ƒ* - pure semi group and shows that a semi group ‘S ‘is regular and Ƒ* - pure iff ' S ′ is a semi lattice of groups. Also shows with the purpose of a semi group' S ′ be Ƒ* - pure iff S3 is a semi lattice of groups. Additionally, learning the group congruence’s as well as semi lattice congruence’s on such a semi group and give a number of properties of fuzzy congruence’s on Ƒ* - pure semi groups. A nonempty set X, a fuzzy subset of X is, by definition, an arbitrary mapping A: X → [0,1], where [0,1] is the usual interval of real numbers. The important concept of fuzzy automata set position onwards by Zadeh [I]. Has opened up keen insights and applications in a wide range of scientific fields. It offers tools and a new approach to model imprecision and uncertainty present in phenomena that do not have sharp boundaries. Since then, a series of research on fuzzy automata sets has come out expounding the importance of the concept and its applications to logic, set theory, algebra theory, real analysis, topology, etc. [III]. Fleck A. C. used the notion of a fuzzy subsets of a set to introduce the notion of fuzzy group of a group, Rosenfeld’s paper motivated the development of fuzzy algebras [X]. Following the formulation of fuzzy subgroups by Rosenfeld, Dib introduced the concept of a fuzzy automata space as a replacement for the concept of universal set in the ordinary case. Recently, some basic concepts of fuzzy algebras such as fuzzy homomorphism’s were introduced and discussed by using the new approach of fuzzy space and fuzzy automata groups introduced. In this paper we introduce concepts of fuzzy automata inverse semi groups and redefine fuzzy automata inverse sub-semi groups using the concept of fuzzy spaces introduced by K. A. Dib [II].

Keywords:

Ƒ* - pure semi groups,Sequences,Group fuzzy congruence’s,Lattice Groups and fuzzy sub groups,

Refference:

I. A. Ada, On the Non-deterministic communication complexity of Regular
Languages, Developments in Language theory. Springer Berlin
Heidelberg, 205-209, 2008.
II. A. H. Clifford and G. B. Preston the algebraic theory of semi groups
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Newyork, (2000).
VI. E. Lughofer and O. Buchtala, “Reliable all-pairs evolving fuzzy
classifiers, “IEEE T. Fuzzy Systems, vol.21, no.4, pp. 625-641, 2013.
VII. F. Meng and X. Chen, (2016). “A new method for a triangular fuzzy
compare wise judgment matrix process based on consistency analysis,”
International Journal of Fuzzy Systems, vol.309, PP. 119-1375,2015.
VIII. J. R. Gonzalez de Mendivil, J. R. Garitagoitia, ” Fuzzy languages with
infinite range accepted by fuzzy automata: Pumping lemma and
determinization procedure,” Fuzzy sets Syst., vol.249, pp.1-26, 2014.
IX. J. Wang, M. Yin. And W. Gu.” Fuzzy multi-set finite automata and their
languages, “Soft compute. vol.17. no.3, pp. 381-390, March-2013.
X. K. T. Atarassov, Instuitionistic fuzzy sets, Fuzzy sets and systems 20,
87 – 96,1986.
XI. K. T. Atanassov, New operations defined over the intuitionistic fuzzy
sets, fuzzy sets and systems 61 ,137 – 142, 1994.

XII. K. Peeva, “Finite L-fuzzy machines”, Fuzzy sets and systems, 141, 415-
437, 2004.
XIII. M. K. Muyeba and L. Han, “Fuzzy classification in web usage mining
using fuzzy quantifiers,” 2013 IEEE/ACM International Conference on
Advances in Social Networks Analysis and Mining (ASONAM), 2013.
XIV. M, Kudlek, V. Mitrana, Closure properties of Multiset Language
Families, Fundum Inforum, 49 , 193- 203, 2002.
XV. M. Kudlek, P. Totzke, G. Zetzche, Properties of Multiset Languge
classes defined by multiset push down automata, Fundum inform, 93 ,
235-244, 2009.
XVI. R. Fierimonte, M. Barbato, A. Rosato, and M. Panella, “Distributed
learning of random weights fuzzy neural networks,” Proc.of IEEE int.
Conf. on Fuzzy Systems-2016.
XVII. S. Shelke and S. Apte, “A Fuzzy based classification scheme for
unconstrained handwritten devanagari character recognition,” 2015.
International Conference on Communication, Information & Computing
Technology (ICCICT), 2015.
XVIII. X. P. Wang and W. J. Liu, Fuzzy regular subsemigroups in semi groups,
inform.sci.68:225-231 ,1983.
.XIX. X. Z. Zhao and Y. Q. Guo, Sturdy frames of type (2, 2) algebras and
their applications to semi rings, Fundamental Mathematicae ,69-
81,2003.
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analysis using a random weight Network,” Information Sciences,
vol.364, pp. 222-240, 2016.
XXI. Y. M. Li, “Finite Automata theory with membership values in Lattices,
Information Sciences”, 176, 3232- 3255, 2006.

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Abstract:

Mobile Ad-hoc Networks (MANETs) could be setup frequently without the need of pre-established infrastructure. The nodes in MANETs are free to move and they can join as well as leave the network. Due to the dynamic nature of nodes in MANETs, routing protocols in MANET are extremely vulnerable to different security attacks. Like other different security attacks, Jellyfish attack is one of the most dangerous attacks in MANETs environment and it degrades the overall performance. In such type of attack, the packets reached its destination but take more time and hence it is difficult to detect such attack. In this research paper, we have analyzed the performance of Dynamic Source Routing (DSR) routing protocol in the presence of Jellyfish attack. To evaluate the performance we have created different scenarios having various number of Jellyfish attacks in MANETs environment. From the simulation result, it has been observed that Jellyfish attack significantly degrades the performance of DSR protocol in terms of end to end delay, throughput and packet delivery ratio. Moreover it has also been observed that when the number of Jellyfish attacks increases in the network then the performance is further degraded. In this research OPNET Modeler 14.5 simulator has been used in order to assess the performance of Jellyfish attack in MANETs environment.

Keywords:

Mobile Ad-Hoc Networks,Dynamic Source Routing,Jellyfish Attack,Security Issues,

Refference:

I A. Kaur and D. T. P. Singh, “Securing MANET from jellyfish attack using
selective node participation approach,” International Journal of Engineering
and Technical Research (IJETR) ISSN, pp. 2321–0869.
II Al Dulaimi, L. A. K., R. B. Ahmad., N, Yaakob., S, N, W, Shamsuddin and
M, Elshaikh 2018. Behavioral and performance jellyfish attack. Indonesian
Journal of Electrical Engineering and Computer Science Vol. 13, No. 2,
February 2019, pp. 683~688,
III Cai, J. P. Yi. J.Chen. Z. Wang and N. Liu. 2010. An Adaptive Approach to
Detecting Black and Gray Hole Attacks in Ad Hoc Network . 24th IEEE
International Conference on Advanced Information Networking and
Applications; pp 775-780
IV Doss, S., Nayyar, A., Suseendran, G., Tanwar, S., Khanna, A., & Thong, P.
H. (2018). APD-JFAD: Accurate prevention and detection of Jelly Fish
attack in MANET. Ieee Access, 6, 56954-56965.
V Khirasariya H. 2001. Simulation study of jellyfish attack in MANET (mobile
ad hoc network) using Aodv Routing Protocol.Journal Of Information,
Knowledge And Research In Computer Engineering; Vol(2); pp 344-347
VI M. Abolhasan, T. Wysocki, and E. Dutkiewicz, “A review of routing
protocols for mobile ad hoc networks,” Ad hoc networks, vol. 2, no. 1, pp. 1–
22, 2004.
VII M.Kaur, M.Rani.and A. Nayyar. 2014. A Comprehensive Study of Jelly Fish
Attack in Mobile Ad hoc Networks. International Journal of Computer
Science and Mobile Computing; Vol(3): pp 199-203
VIII Mewara, H.S. and S. Porwal. 2010. Node Density and Traffic based
Modelling and Analysis of Routing Protocols for MANETs; pp 1-6
IX P. Misra, “Routing protocols for ad hoc mobile wireless networks,” Courses
Notes, available at http://www. cis. ohiostate. edu/˜ jain/cis788-99/adhoc
routing/index. html, 1999.
X R.V Boppana, and A. Mathur. 2005. Analysis of the Dynamic Source
Routing Protocol for Ad Hoc Networks. Workshop on Next Generation
Wireless Networks; pp 1-8.

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Abstract:

In this paper, design and investigation of all-opticalorthogonal frequency division multiplexing (AO-OFMD) system using an optical frequency comb (OFC) source is presented. AnOFC source by cascading a frequency modulator (FM) and two intensity modulators is used as a multi-carrier’s generator to provide optically OFDM subcarriers. This OFC source can be provided a maximum comb lines number of 61 lines spaced by 25 GHz. The AO-OFDM scheme employed 31 and 51 comb lines can transmit a signal at a data rate of 1.55 and 2.55 Tbit/s, respectively. Numerical results are carried out using VPI transmission Maker® commercial software.

Keywords:

All-optical OFDM,Terabit per second (Tbit/s),Opticalfrequency comb source,Error vector magnitude (EVM),Eye diagram,

Refference:

I. A. Hammoodi, L. Audah, and M. A. Taher, “Green Coexistence f Waveform Candidates: A Review,” IEEE Access, vol. 7, pp. 10103-2019
II. II. A. Hraghi, M. E. Chaibi, M. Menif, and D. Erasme, “Demonstration of 16QAM-OFDM UDWDM transmission using a tunable optical flat comb source,” journal of lightwave technology, vol. 35, pp. 238-245, 2016
III. III. A. M. Jaradat, J. M. Hamamreh, and H. Arslan, “Modulation Options for OFDM-Based Waveforms: Classification, Comparison, and Future Directions,” IEEE Access, vol. 7, pp. 17263-17278, 2019
IV. F. Fresi, M. Imran, A. Malacarne, G. Meloni, V. Sorianello, E. Forestieri, et al., “Advances in optical technologies and techniques for high capacity ommunications,” Journal of Optical Communications and Networking, vol. 9, pp. C54-C64, 2017
V. I. Morohashi, T. Sakamoto, N. Sekine, A. Kasamatsu, and I. Hosako, “Ultrashort optical pulse source using Mach–Zehnder-modulator-based flat comb generator,” Nano Communication Networks, vol. 10, pp. 79-84, 2016
VI. J. He, F. Long, R. Deng, J. Shi, M. Dai, and L. Chen, “Flexible multiband OFDM ultra-wideband services based on optical frequency combs,”IEEE/OSA Journal of Optical Communications and Networking, vol. 9, pp. 393-400, 2017
VII. J. Morosi, J. Hoxha, P. Martelli, P. Parolari, G. Cincotti, S. Shimizu, et al., “25 Gbit/s per user coherent all-optical OFDM for Tbit/s-capable PONs,” Journal of Optical Communications and Networking, vol. 8, pp. 190-195, 2016
VIII. J. Thangaraj, “Generation of ultra-wide and flat optical frequency comb based on electro absorption modulator,” Optoelectronics Letters, vol. 14, pp. 185-188, 2018
IX. L. B. Du, J. Schröder, M. M. Morshed, B. Eggleton, and A. J. Lowery, “Optical inverse Fourier transform generated 11.2-Tbit/s no-guard-interval all-optical OFDM transmission,” in Optical Fiber Communication Conference, p. OW3B. 5., 2013
X. M. Imran, P. M. Anandarajah, A. Kaszubowska-Anandarajah, N. Sambo, and L. Potí, “A survey of optical carrier generation techniques for terabit capacity elastic optical networks,” IEEE Communications Surveys & Tutorials, vol. 20, pp. 211-263, 2018
XI. N.-P. Diamantopoulos, H. Nishi, W. Kobayashi, K. Takeda, T. Kakitsuka, and S. Matsuo, “On the Complexity Reduction of the Second-Order Volterra Nonlinear Equalizer for IM/DD Systems,” Journal of Lightwave Technology, vol. 37, pp. 1214-1224, 2019
XII. P. Guan, K. M. Røge, H. C. H. Mulvad, M. Galili, H. Hu, M. Lillieholm, et al., “All-optical ultra-high-speed OFDM to Nyquist-WDM conversion based on complete optical Fourier transformation,” Journal of Lightwave Technology, vol. 34, pp. 626-632, 2016
XIII. P. Martín-Mateos, A. Porro, and P. Acedo, “Fully Adaptable Electro-Optic Dual-Comb Generation,” IEEE Photonics Technology Letters, vol. 30, pp. 161-164, 2017
XIV. R. G. Hunsperger, Integrated optics vol. 4: Springer, 1995
XV. R. Mesleh and A.-O. Ayat, “Acousto-optical modulators for free space optical wireless communication systems,” Journal of Optical Communications and Networking, vol. 10, pp. 515-522, 2018
XVI. S. A. Srinivasan, M. Pantouvaki, S. Gupta, H. T. Chen, P. Verheyen, G. Lepage, et al., “56 Gb/s germanium waveguide electro-absorption modulator,” Journal of Lightwave Technology, vol. 34, pp. 419-424, 2015
XVII. S. I. Sohn and S. K. Han, “Linear optical modulation in a serially cascaded electro absorption modulator,” Microwave and Optical Technology Letters, vol. 27, pp. 447-450, 2000
XVIII. T. Kawanishi, “THz and Photonic Seamless Communications,” Journal of Lightwave Technology, 2019
XIX. T. Kishi, M. Nagatani, S. Kanazawa, W. Kobayashi, H. Yamazaki, M. Ida, et al., “56-Gb/s optical transmission performance of an InP HBT PAM4 driver compensating for nonlinearity of extinction curve of EAM,” Journal of Lightwave Technology, vol. 35, pp. 75-81, 2017
XX. V. Baryshev, V. Epikhin, I. Blinov, and S. Donchenko, “Acousto-optic modulators in Raman-Nath diffraction regime as phase modulators in modulation transfer spectroscopy,” in 2016 IEEE International Frequency Control Symposium (IFCS), pp. 1-4, 2016
XXI. V. J. Urick, K. J. Williams, and J. D. McKinney, Fundamentals of microwave photonics: John Wiley & Sons, 2015
XXII. Y. Kaymak, R. Rojas-Cessa, J. Feng, N. Ansari, M. Zhou, and T. Zhang, “A survey on acquisition, tracking, and pointing mechanisms for mobile free space optical communications,” IEEE Communications Surveys & Tutorials, vol. 20, pp. 1104-1123, 2018
XXIII. Y.-D. Lin, “Third Quarter 2018 IEEE Communications Surveys and Tutorials,” IEEE Communications Surveys & Tutorials, vol. 20, pp. 1607-1615, 2018

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Abstract:

Facial recognition stands for an imperative area of interest to serve various applications such as security, verification of bank identities, identification of wanted persons at airports, etc. Therefore, it is employed for real time application. Consequently, reliability stands for significant matter for security. Facial recognition system is deal with two different application scenarios, one of which is called "identification" and the other of which is called "verification" anew face can be classifying either "known" or "unknown", after comparing it with stored identified persons. The complete process of facial recognition system done in three phase, detection the face, extraction the features of the face and recognition to recognize this face. Various techniques are then required for these three phases. Also these techniques differ from different other surrounding factors for example, face orientation, expression, illumination and background. In this review also highpoints the most frequently databases that existing as a standard to be utilized for facial recognition investigations like, AR Database, ORL, FERET, and Yale Database.

Keywords:

Face detection,Features extraction,Face recognition,Face Database,

Refference:

12Abdulrahman, S.A. and B.M. Sabbar, Face Recognition Using
Eigen-Wavelet-Face Method.
II. 8.8Al-Arashi, W.H., H. Ibrahim, and S.A. Suandi, Optimizing principal
component analysis performance for face recognition using genetic
algorithm. Neurocomputing, 2014. 128: p. 415-420.
III. 17.17Al-Allaf, O.N., Review of face detection systems based artificial
neural networks algorithms. arXiv preprint arXiv:1404.1292, 2014.
IV. 13Abate, A.F., et al., 2D and 3D face recognition: A survey. Pattern
recognition letters, 2007. 28(14): p. 1885-1906.
V. 10. 10Barnouti, N.H., Face recognition using PCA-BPNN with DCT
implemented on Face94 and grimace databases. International Journal
of Computer Applications, 2016. 142(6): p. 8-13.
VI. 18.18Bukis, A., et al. Survey of face detection and recognition
methods. in Proceeding of International Conference on Electrical and
Control Technologies, Kaunas, Lithuania. 2011.
VII. 15.15Barnouti, N.H., et al., Face Detection and Recognition Using
Viola-Jones with PCA-LDA and Square Euclidean Distance.
International Journal of Advanced Computer Science and Applications
(IJACSA), 2016. 7(5): p. 371-377.
VIII. 23.23 Beham, M.P. and S.M.M. Roomi, A review of face recognition
methods. International Journal of Pattern Recognition and Artificial
Intelligence, 2013. 27(04): p. 1356005.

IX. 20.20 Dabhi, M.K. and B.K. Pancholi, Face detection system based on
viola-jones algorithm. International Journal of Science and Research
(IJSR), 2016. 5(4): p. 62-64.
X. 25.25 Drira, H., et al. Pose and expression-invariant 3d face
recognition using elastic radial curves. in British machine vision
conference. 2010.
XI. 24.24 De Carrera, P.F. and I. Marques, Face recognition algorithms.
Master’s thesis in Computer Science, Universidad Euskal Herriko,
2010.
XII. 21.21 Fathi, A., P. Alirezazadeh, and F. Abdali-Mohammadi, A new
Global-Gabor-Zernike feature descriptor and its application to face
recognition. Journal of Visual Communication and Image
Representation, 2016. 38: p. 65-72.
XIII. 1.1 Jain, A.K. and S.Z. Li, Handbook of face recognition. 2011:
Springer.
XIV. 7.7 Kadam, K.D., Face recognition using principal component
analysis with DCT. International Journal of Engineering Research and
General Science, ISSN, 2014: p. 2091-2730.
XV. 2.2 Lourde, M. and D. Khosla, Fingerprint Identification in Biometric
SecuritySystems. International Journal of Computer and Electrical
Engineering, 2010. 2(5): p. 852.
XVI. 3.3 Li, X., Face recognition method based on fuzzy 2dpca. Journal of
Electrical and Computer Engineering, 2014. 2014: p. 20.
XVII. 6.6 Miry, A.H., Face Recognition Based Principal Component
Analysis And Wavelet Sub bands. Journal of Engineering and
Sustainable Development, 2013. 17(5): p. 238-248.
XVIII. 16.1 6Muhammad Sharif, et al., Face Recognition: A Survey.
JOURNAL OFEngineering Science andTechnology Review, 2017: p.
166-177.
XIX. 14.14 Pandya, J.M., D. Rathod, and J.J. Jadav, A survey of face
recognition approach. International Journal of Engineering Research
and Applications (IJERA), 2013. 3(1): p. 632-635.
XX. 30.30 Phillips, P.J., et al., The FERET database and evaluation
procedure for face-recognition algorithms. Image and vision
computing, 1998. 16(5): p. 295-306.
XXI. 5.5 Prasad, M., et al., Face recognition using PCA and feed forward
neural networks. International journal of computer science and
telecommunications, 2011. 2(8): p. 79-82.
XXII. 9.9 Shah, H., R. Kher, and K. Patel. Face recognition using 2DPCA
and ANFIS classifier. in Proceedings of Fourth International
Conference on Soft Computing for Problem Solving. 2015. Springer.

XXIII. 26.26 Singh, A., S.K. Singh, and S. Tiwari, Comparison of face
recognition algorithms on dummy faces. The International Journal of
Multimedia & Its Applications, 2012. 4(4): p. 121.
XXIV. 29.29 Singh, Y., A Study on Facial Feature Extraction and Facial
Recognition Approaches. 2015.
XXV. 22.22 Singh, G. and I. Chhabra, Effective and fast face recognition
system using complementary OC-LBP and HOG feature descriptors
with SVM classifier. Journal of Information Technology Research
(JITR), 2018. 11(1): p. 91-110.
XXVI. 27.27 Solanki, K. and P. Pittalia, Review of face recognition
techniques. International Journal of Computer Applications, 2016.
133(12): p. 20-24.
XXVII. 11.11Sukhija, P., S. Behal, and P. Singh, Face recognition system
using genetic algorithm. Procedia Computer Science, 2016. 85: p. 410-
417.
XXVIII. 19.19 Zhang, C. and Z. Zhang, A survey of recent advances in face
detection. 2010.
XXIX. 28.28 Zhang, B., et al., Histogram of gabor phase patterns (hgpp): A
novel object representation approach for face recognition. IEEE
Transactions on Image processing, 2006. 16(1): p. 57-68.
XXX. 4.4 Zhou, C., et al., Face recognition based on PCA image
reconstruction and LDA. Optik, 2013. 124(22): p. 5599-5603.

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Abstract:

A Neuro cysticercosis is avoidable parasitic infection caused by larval cysts of the pork tapeworm. The larval cysts can affect different parts of the human organs causing a condition known as cysticercosis which can direct to seizures it is called neuro cysticercosis. A neoplasm is an abnormal growth of cells in the brain, also known as a tumor which causes growth of tumor triggered by DNA mutations within your cells. The neoplastic disease causes two types of tumor growth. The benign tumors usually grow which grow slowly and cannot spread to other tissues are called as noncancerous growth. The Malignant brain tumors grow quickly and spread to multiple tissues, organs are known as cancerous growth. In spite of huge progresses, still there is no single modality which can represent all aspects of the human body. In this paper a novel method has been proposed for Dual tree complex wavelet Transform (DTCWT) with Non-subsampled shearlet transform (NSST) hybrid fusion algorithm. The developed fusion algorithm is experienced on the pilot study datasets of patients affected with Neurocysticercosis and neoplastic diseases. The fused image conveys the superior description of the information than the source images. Experimental results are evaluated by the number of well-known performance evaluation metrics.

Keywords:

Multimodality medical image,Neoplastic,Neurocyticercosis,CT,MRI,SPECT,DTCWT and NSST,

Refference:

I. Deep Gupta,. Nonsubsampled shearlet domain fusion techniques for CT–MR
neurological images using improved biological inspired neural model.
Biocybernetics and Biomedical Engineering, 2017
II. Ebenezer Daniel, J. Anithaa, K.K Kamaleshwaran, Indu Rani,. Optimum
spectrum mask based medical image fusion using Gray Wolf Optimization.
Biomedical Signal Processing and Control, Elsevier, Vol. 34, pp. 36 – 43,
2017
III. Hamid Reza Shahdoosti, Adel Mehrabi,. Multimodal Image Fusion Using
Sparse Representation Classification in Tetrolet Domain. Digital Signal
Processing, Elsevier (2018)
IV. Heba M. El-Hoseny, El-Sayed M. El.Rabaie, Wael Abd Elrahman, Fathi E
Abd El-Samie,. Medical Image Fusion Techniques Based on Combined
Discrete Transform Domains. Port Said, Egypt, Arab Academy for Science,
Technology & Maritime Transport, IEEE, pp. 471-480, 2017
V. http://www.med.harvard.edu (Accessed 2017)
VI. https://radiopaedia.org (Accessed 2017)
VII. https://www.healthline.com/health/neoplastic-disease (Accessed 2018)
VIII. Jingming Xi, Yiming Chen, Aiyue Chen, Yicai Chen,. Medical Image Fusion
Based on Sparse Representation and PCNN in NSCT Domain.
Computational and Mathematical Methods in Medicine, Hindawi, 2018
IX. Rajalingam B, Priya R, Bhavani R.. Hybrid Multimodal Medical Image
Fusion Using Combination of Transform Techniques for Disease Analysis.
Procedia Computer Science, Elsevier, 152, pp. 150–157, 2019
X. Rajalingam B, Priya R, Bhavani R.. Multimodal Medical Image Fusion
Using Hybrid Fusion Techniques for Neoplastic and Alzhimers’s Disease
Analysis. Journal of Computational and Theoretical Nanoscience, Vol. 16,
pp. 1–12, 2019

XI. Rajalingam, R.Priya, R.Bhavani.. Hybrid Multimodal Medical Image
Fusion Algorithms for Astrocytoma Disease Analysis. Emerging
Technologies in Computer Engineering: Microservices in Big Data
Analytics, ICETCE 2019, Communications in Computer and Information
Science, Springer, Vol. 985, pp. 336–348, 2019
XII. Rajalingam., R. Priya.. Hybrid Multimodality Medical Image Fusion based
on Guided Image Filter with Pulse Coupled Neural Network. International
Journal of Scientific Research in Science, Engineering and Technology, 5(3),
pp. 86-100, 2018
XIII. Rajalingam., R.Priya., and R.Bhavani.. Comparative Analysis for Various
Traditional and Hybrid Multimodal Medical Image Fusion Techniques for
Clinical Treatment Analysis. Image Segmentation: A Guide to Image Mining,
ICSES Publisher, pp. 26-50, 2018
XIV. Rajalingam., R.Priya., and R.Bhavani.. Hybrid Multimodality Medical Image
Fusion Using Various Fusion Techniques with Quantitative and Qualitative
Analysis. Advanced Classification Techniques for Healthcare Analysis, IGI
Global Publisher, pp. 206-233, 2019
XV. Rajalingam., R.Priya., Review of Multimodality Medical Image Fusion Using
Combined Transform Techniques for Clinical Application. International
Journal of Scientific Research in Computer Science Applications and
Management Studies, 7(3), 2018
XVI. Rajalingam., R.Priya., A Novel approach for Multimodal Medical Image
Fusion using Hybrid Fusion Algorithms for Disease Analysis. International
Journal of Pure and Applied Mathematics, 117(15), pp. 599-619, 2017
XVII. Rajalingam., R.Priya., Combining Multi-Modality Medical Image Fusion
Based on Hybrid Intelligence for Disease Identification. International Journal
of Advanced Research Trends in Engineering and Technology, 5(12), pp.
862-870, 2018
XVIII. Rajalingam., R.Priya., Enhancement of Hybrid Multimodal Medical Image
Fusion Techniques for Clinical Disease Analysis. International Journal of
Computer Vision and Image Processing, 8(3), pp.17-40, 2018
XIX. Rajalingam., R.Priya., Hybrid Multimodality Medical Image Fusion
Technique for Feature Enhancement in Medical Diagnosis. International
Journal of Engineering Science Invention, 2, pp. 52-60, 2018
XX. Rajalingam., R.Priya., Multimodal Medical Image Fusion based on Deep
Learning Neural Network for Clinical Treatment Analysis. International
Journal of ChemTech Research, 11(06), pp. 160-176, 2018
XXI. Rajalingam., R.Priya., Multimodal Medical Image Fusion Using Various
Hybrid Fusion Techniques For clinical Treatment Analysis. Smart
Construction Research, 2(2), pp. 1-20, 2018
XXII. Rajalingam., R.Priya., Multimodality Medical Image Fusion Based on Hybrid
Fusion Techniques. International Journal of Engineering and Manufacturing
Science, 7(1), 2017

XXIII. Satishkumar S. Chavan, Abhishek Mahajan, Sanjay N. Talbar, Subhash
Desai, Meenakshi Thakur, Anil D’cruz,. Nonsubsampled rotated complex
wavelet transform (NSRCxWT) for medical image fusion related to clinical
aspects in neurocysticercosis. Computers in Biology and Medicine, Elsevier,
Vol. 81, pp. 64–78, 2017
XXIV. Sharma Dileepkumar Ramlal, Jainy Sachdeva, Chirag Kamal Ahuja, Niranjan
Khandelwal,. Multimodal medical image fusion using non-subsampled
shearlet transform and pulse coupled neural network incorporated with
morphological gradient. Signal, Image and Video Processing, Springer, 2018
XXV. Sreeja, S. Hariharan,. An improved feature based image fusion technique for
enhancement of liver lesions. Biocybernetics and Biomedical Engineering,
Elsevier, 2018
XXVI. Xiaojun Xua, Youren Wang, Shuai Chen,. Medical image fusions using
discrete fractional wavelet transform. Biomedical Signal Processing and
Control, Elsevier, Vol. 27, pp.103–111, 2016
XXVII. Xingbin Liu, Wenbo Mei, Huiqian Du,. Multi-modality medical image fusion
based on image decomposition framework and nonsubsampled shearlet
transform. Biomedical Signal Processing and Control, Elsevier, Vol. 40, pp.
343–350, 2018
XXVIII. Xingbin Liu, Wenbo Mei, Huiqian Du,. Structure tensor and nonsubsampled
shearlet transform based algorithm for CT and MRI image fusion.
Neurocomputing, Elsevier, 2017

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Abstract:

This article presents the design of reconfigurable multiband antenna fed by coplanar waveguide feeding using commercially available pin diodes. The designed antenna covers S-band, Wi-MAX C-Band, X-band applications. A detail study was performed to characterize the switching operation by considering the wire bound effects. By loading the TSIR (T-shaped stepped impedance resonator) and PSLR (parallel stub loaded resonator) in the circular ring, resonating characteristics are observed. The resonating frequencies of the antenna are 3.26 GHz, 4.16 GHz, 8.04 GHz and 8.9 GHz respectively. The current antenna shows the maximum gain of 5.94 dB at 8.04 GHz. The proposed antenna shows good impedance characteristics, low profile and compact size, which is suitable for wireless communication applications.

Keywords:

TSIR (T-shaped Stepped impedance resonator),PSLR (Parallel Stub loaded resonator),

Refference:

I. D. Sreenivasa Rao, J. Lakshmi Narayana, B. T. P. Madhav, “Microstrip
Parasitic Strip Loaded ReconFigureurable Monopole Antenna”, ARPN
Journal of Engineering and Applied Sciences, Vol. 11, No. 19, pp 1-7,
2016.
II. J.-Y. Deng, Y.-Z. Yin, S.-G. Zhou and Q.-Z. Liu, “Compact ultra wideband
antenna with tri-band notched characteristic,” Electron. Lett., vol. 44, no.
21, Oct. 2008.
III. K.Praveen Kumar, Kumaraswamy Gajula “Fractal Array antenna Design
for C-Band Applications”, International Journal of Innovative Technology
and Exploring Engineering (IJITEE), Volume-8 Issue-8 June, 2019
(SCOPUS Indexed)
IV. K.Praveen Kumar, “Active Switchable Band-Notched UWB Patch
Antenna”, International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019 (SCOPUS Indexed)
V. K.Praveen Kumar, “Circularly Polarization of Edge-Fed Square Patch
Antenna using Truncated Technique for WLAN Applications”,
International Journal of Innovative Technology and Exploring Engineering
(IJITEE), Volume-8 Issue-8 June, 2019 (SCOPUS Indexed)
VI. K.Praveen Kumar, “Triple Band Edge Feed Patch Antenna; Design and
Analysis”, International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019 (SCOPUS Indexed)
VII. K.Praveen Kumar, Dr. Habibulla Khan “Optimization of EBG structure for
mutual coupling reduction in antenna arrays; a comparitive study”
International Journal of engineering and technology, Vol-7, No-3.6, Special
issue-06, 2018. page 13- 20. (SCOPUS Indexed)
VIII. K.Praveen Kumar, Dr. Habibulla Khan “Active PSEBG structure design for
low profile steerable antenna applications” Journal of advanced research in
dynamical and control systems, Vol-10, Special issue-03, 2018. (SCOPUS
Indexed)

IX. K.Praveen Kumar, Dr. Habibulla Khan, “Design and characterization of
Optimized stacked electromagnetic band gap ground plane for low profile
patch antennas” International journal of pure and applied mathematics, Vol
118, No. 20, 2018, 4765-4776. (SCOPUS Indexed)
X. M. Ajay Babu, B. T. P. Madhav, B. Mohan Reddy, R. Divya Chaitanya, T.
Satish and T. Anilkumar, “A Dual-Polarization ReconFigureurable Antenna
with Beam Switching Characteristics For S-Band Applications”, ARPN
Journal of Engineering and Applied Sciences, Vol. 12, No. 16, pp 4841-
4847, 2017.
XI. M. Gopikrishna, D. D. Krishna, C. K. Anandan, P. Mohanan, and
K.Vasudevan, “Design of a compact semi-elliptic monopole slot antenna for
UWB systems,” IEEE trans. Antennas propag., vol. 57, no. 6, pp.1834–
1837, Jun. 2009
XII. S. Hu, H. Chen, C. L. Law, Z. Shen, L. Zui, W. Zhang, and W.
Dou,“Backscattering cross section of ultra wideband antennas,” IEEE
AntennasWireless Propag. Lett. vol. 6, pp. 70–73, 2007
XIII. Tsenchieh Chiu, Chic hang Hung, Kaiming Hsu, “ReconFigureurable
resonant module for multi-band antenna design” IET Microwaves,
Antennas & Propagation, pp. 1–7, 2015
XIV. W. J. Lui, C. H. Cheng, and H. B. Zhu, “Compact frequency notched ultrawideband
fractal printed slot antenna,” IEEE Microw.Wireless Compon.
Lett., vol. 16, no. 4, pp. 224–226, Apr. 2006.
XV. W. S. Lee, D. Z. Kim, K. J. Kim, and J. W. Yu, “Wideband planar
monopole antennas with dual band-notched characteristics,” IEEE Trans.
Microw. Theory Tech., vol. 54, pp. 2800–2806, 2006
XVI. Xiaoyan Zhang, MiaoTian, Aiyun Zhan1 Zhiwei Liu Haiwen Liu “A
frequency reconFigureurable antenna for multiband mobile handset
applications”, pp.1-8, June 2017
XVII. Yong Pan, Kaihua Liu, and Ziye Hou, “a novel printed micro strip antenna
with frequency reconFigureurable characteristics for
Bluetooth/WLAN/WIMAX applications” Vol. 55, pp 1341-1347, June
2013.

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Abstract:

The interaction of flow patterns with the movements of live bed of natural channels is a complex 3D process which requires precise investigation in different scenarios to be fully understood. This study effort to investigate the flow patterns and its effect on the formation of scour holes and deposition stacks in the vicinity of a diversion channel entrance considering the presence of a single dike with various lengths normal to flow and different simple and T-shaped models. Results indicated that Dike shape and its length normal to flow significantly affects the ratio of diverted discharge, volume of sediment transport into the diversion channel, and volume and depth of the scour holes as well as the shape, height and location of the formation of the deposition stack. Increasing the length of wing for the T-shaped dikes could decrease the depth and span of the scour holes efficiently as well reducing the dimensions of deposition stack to form out of the diversion channel.

Keywords:

T-shaped dikes,turbulent flow field,sediment scour,diversion intakes,

Refference:

I. Barkdoll, B.D., Ettema, R., Odgaard, A.J. Sediment control at lateral
diversions: Limits and enhancements to vane use. Journal of Hydraulic
Engineering, 125(8), 862-870. http://dx.doi.org/10.1061/(ASCE)0733-
9429(1999)125:8(862), 1999.
II. Duan, J. G.. Mean Flow and Turbulence around a Laboratory Spur Dike.
Journal of Hydraulic Engineering Vol. 135, No. 10, 803-811, 2009.
III. Hassanpour, F., Ayoubzadeh, S.A., Ghoddasian, M., Vali Samani, G.M.
Effect of submerged vanes on dewatering and longitudinal profile of water
level in vicinity of 90-degree side basins. Journal of Development of Natural
Resources, 77, 104-114, 2007.
IV. Kasthuri, B., Pundarikanthan, N.V. Discussion of “Separation zone at
open‐channel junctions” by James L. Best and Ian Reid (November, 1984).
Journal of Hydraulic Engineering, 113(4), 543-544.
http://dx.doi.org/10.1061/(ASCE)0733-9429(1987)113:4(543), 1987.
V. Kuhnle R.A., Alonso, C. V., Shields, D. Geometry Of Scour Holes
Associated With 90ᵒ Spur Dikes.J. Hydraul. Eng. 1999.125:972-978, 1999.
VI. Masjedi and E P Foroushani, Experimental effect of flow depth on ratio
discharge in lateral intakes in river bend. 26th IAHR Symposium on
Hydraulic Machinery and Systems, 2012.
VII. Nazari Giglou, A. Mccorquodale, J. A., Solari. L. Numerical study on the
effect of the spur dikes on sedimentation pattern. Ain Shams Engineering
Journal, 2017.

VIII. Neary, V.S., Odgaard, A.J. Three‐dimensional flow structure at open‐channel
diversions. Journal of Hydraulic Engineering, 119(11), 1223-1230.
http://dx.doi.org/10.1061/(ASCE)0733-9429(1993)119:11(1223), 1993.
IX. Neary, V.S., Sotiropoulos, F., Odgaard, A.J. Three-dimensional numerical
model of lateral-intake in flows. Journal of Hydraulic Engineering, 125(2),
126-140. http://dx.doi.org/10.1061/(ASCE)0733-9429(1999)125:2(126),
1999.
X. Uijttewaal WSJ. Effects of groyne layout on the flow in groyne fields:
laboratory experiments. J Hydraul Eng ASCE, 131(9):782–91, 2005.
XI. Vaghefi, M., Ghodsian, M., Salehi Neyshabouri, S. A. A. Experimental Study
on Scour around a T-Shaped Spur Dike in a Channel Bend. Journal of
Hydraulic Engineering, Vol. 138, No. 5, 2012.
XII. Vaghefi, M., Safarpoor, Y., and Hashemi, S. S. Effects of distance between
the T-shaped spur dikes on flow and scour patterns in 90 bend using the
SSIIM model. Ain Shams Engineering Journal, 7, 31–45, 2016.
XIII. Xuelin T, Xiang D, Zhicong C. Large eddy simulations of three-dimensional
flows around a spur dike. J Tsinghua Sci Technol, 11(1):117–23, 2006.
XIV. Xuelin T. Experimental and numerical investigations on secondary flows and
sedimentations behind a spur dike. J Hydrodyn Ser B, 19(1):23–9, 2007.

 

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Abstract:

Fractals stand for unique geometries that can be nice-looking for microwave circuit scholars. Latest expansions in wireless communication systems have been caused different experiments to manufacture high-grade diminished components. These experiments motivate microwave circuits and antennas engineers to look for solutions by examining diverse fractal structures. Nonetheless, there are several relevant limits of fractal antennas involving geometric restrictions, low gain, fractal orders and design complexity. These limits are feasibly solved by restructuring methods as in fractal reconfiguration and like pre-fractal structures. These methods have been known as semi or quasi-fractals that can be applied to antenna design without endless scale. Accordingly, quasi-fractal geometry with limited orders or iterations can be exploited for a specific dual/multiband antenna based on a particular fractal iteration. In this study, the unique properties of fractal geometries will be presented together with the most commonly used fractal geometries applied in the slot antenna design. In this respect, the application of fractal geometries in the slot antenna design can be classified into two categories. In the first category, the fractal geometry is applied directly such that it constitutes the whole slot structure, while in the second one; the fractal geometry is applied indirectly. In this case, there is a slot structure with Euclidean shape, such as triangle, square…etc., and fractal geometry has to replace each line segment in this structure. In addition, slotting processes by fractal or semi fractals in the ground plane of antenna substrates to produce dual or multiband or even wideband response have been discussed in this review paper.

Keywords:

fractal geometries,slot antenna design,slot structure,wideband response,

Refference:

I. B. B. Mandelbrot, “The Fractal Geometry of Nature”, W. H. Freeman,
San Francisco, CA, 1982.
II. Jawad K. Ali, and A. S. A. Jalal, “A Miniaturized Multiband Minkowski-
Like Pre-Fractal Patch Antenna for GPS and 3g IMT-2000 Handsets”,
Asian Journal for Information Technology 6(5), pp. 584-588, 2007.
III. P. S. Addison, “Fractals and Chaos”, Institute of Physics Publishing,
IOP, Ltd, London, 1997.
IV. Jawad K. Ali, M. T. Yassen, M. R. Hussan, and A. J. Salim, ” A Printed
Fractal Based Slot Antenna for Multi-band Wireless Communication
Applications”, Progress In Electromagnetics Research, PIER
Proceedings, Moscow, Russia, August 19-23, 2012.
V. K. Falconar, “Fractal Geometry”, John Wiley & Sons, Ltd., Baffins Lane,
Chichister, 1990.
VI. N. Poprzen, and M. Gacanovic, “Fractal Antennas: Design,
Characteristics and Application “, Regular Paper, 2000.
VII. Seevan F. Abdulkareem, Design and Fabrication of Printed Fractal Slot
Antennas for Dual-band Communication Applications, M. Sc Thesis,
University of Technology, Iraq .
VIII. Y.S. Mezaal, H.T.Eyyuboglu, J.K. Ali, New Dual Band Dual-Mode
Microstrip Patch Bandpass Filter Designs Based on Sierpinski Fractal
Geometry.In, Proceeding of Advanced Computing and Communication
Technologies, Rohtak, India, pp.348-352, 2013.

IX. Y. S. Mezaal, Jawad K. Ali, and H. T. Eyyuboglu. “Miniaturised
microstrip bandpass filters based on Moore fractal
geometry.” International Journal of Electronics 102.8 (2015): 1306-1319.
X. Yaqeen S. Mezaal, Halil T. Eyyuboglu, and Jawad K. Ali. “A new design
of dual band microstrip bandpass filter based on Peano fractal geometry:
Design and simulation results.” 2013 13th Mediterranean Microwave
Symposium (MMS). IEEE, 2013.
XI. Y. S.Mezaal,New Compact Microstrip Patch Antennas, Design and
Simulation Results. Indian Journal of Science and Technology, 9, 12,
2016.
XII. Yaqeen S. Mezaal, Dalal A. Hammood: New microstrip quasi fractal
antennas: Design and simulation results. 2016 IEEE 36th International
Conference on Electronics and Nanotechnology (ELNANO); 04/2016,
DOI:10.1109/ELNANO.2016.7493014
XIII. Y. S. Mezaal, “New microstrip semi-fractal antenna: Design and
simulation results,” 2016 24th Signal Processing and Communication
Application Conference (SIU), Zonguldak, 2016, pp. 1601-1604.doi:
10.1109/SIU.2016.7496061
XIV. Yaqeen Sabah Mezaal, S. F. Abdulkareem, J. K. Ali: A Dual-Band
Printed Slot Antenna for WiMAX and Metrological Wireless
Applications. Advanced Eelectromagnetics 08/2018; 7(3):75-81.,
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Based Fractal Slot Antennas for Wireless Applications. Journal of
Engineering and Applied Sciences, 13(17), 7266-7270, 2018.
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based on quasi-fractal geometry for recent wireless systems, 26th Signal
Processing and Communications Applications Conference (SIU), 2018.
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Antenna for Wireless Applications. Advanced Eelectromagnetics
09/2018; 7(4)., DOI:10.7716/aem.v7i4.860
XVIII. Yaqeen Sabah Mezaal, et al. Miniaturized Wideband Microstrip Antenna
for Recent Wireless Applications.Advanced Eelectromagnetics 09/2018;
7(5). DOI:10.7716/aem.v7i5.806.
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Design of Two Loosely Coupled Bandpass Filter Based on Hilbert-zz
Resonator with Higher Harmonic Suppressions. 3rd International IEEE
Conference on Advanced Computing and Communication Technologies
(ACCT-2013); 04/2013.
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Band Dual-Mode Microstrip Patch Bandpass Filter Designs Based on
Sierpinski Fractal Geometry. 3rd International IEEE Conference on
Advanced Computing and Communication Technologies (ACCT-2013);
04/2013.
XXI. Yaqeen Sabah Mezaal, halil T.Eyyuboglu, Jawad K.Ali: Wide Bandpass
and Narrow Bandstop Microstrip Filters Based on Hilbert Fractal Geometry: Design and Simulation Results. PLoS ONE, 12/2014;
DOI:10.1371/journal.pone.0115412.
XXII. Yaqeen S. Mezaal, Halil T. Eyyuboglu, Jawad K. Ali: New Microstrip
Bandpass Filter Designs Based on Stepped Impedance Hilbert Fractal
Resonators. IETE Journal of Research, 07/2014; 60(3):257-264.
DOI:10.1080/03772063.2014.922018 .
XXIII. Yang, Xue-Song, Bing-Zhong Wang, and Yong Zhang. “A
reconfigurable Hilbert curve patch antenna.” In 2005 IEEE Antennas and
Propagation Society International Symposium, vol. 2, pp. 613-616. IEEE,
2005.
XXIV. Y.K. Choukiker, S.K. Sharma, S.K. Behera. Hybrid fractal shape planar
monopole antenna covering multiband wireless communications with
MIMO implementation for handheld mobile devices. IEEE Transactions
on Antennas and Propagation. Dec 17;62(3):1483-8, 2013.

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Abstract:

In this article, CPW fed circular slotted frequency reconfigurable antenna of 32mmx24mm applicable to multiband operations is designed and presented. It covers Medical wireless communication WiMAX (3.03-3.8GHz), (5.1-5.5GHz) WLAN, Cband (6.5-7.16GHz) and X-band (9.4-12.5GHz) for radio astronomy, space research and satellite applications. Resonating characteristics are realized by loading the two stage T-shaped stepped impedance resonator (TS-TSIR) in the circular ring and cross strip on the feed line. Frequency reconfiguration is achieved by switching action four PIN diodes placing at the circular slot. Maximum gain of 6.39dB at 10.7GHz is achieved.

Keywords:

TS-TSIR (two-stage T-shaped Stepped impedance resonator),CPW (coplanar waveguide),Cross strip,

Refference:

I. A Vamseekrishna, A Frequency Reconfigurable Antenna with Bluetooth,
Wi-Fi and WLAN Notch Band Characteristics, International Journal of
Engineering and Technology, Vol 7, Issue 2.7, 2018, pp 127-130.
II. A. Tariq and H. Ghafouri-Shiraz, Frequency-reconfigurable monopole
antennas, IEEE Trans. Antennas Propag., vol. 60, no. 1, pp. 44–50, Jan.
2012.
III. B Siva Prasad, P Mallikarjuna Rao, Coplanar Wave guide fed fork shaped
frequency reconfigurable antenna for LTE, Wi-Fi and WLAN
applications, International Journal of Engineering and Technology, Vol 7,
Issue 1.1, 2018, pp 366-370.
IV. B Siva Prasad, P Mallikarjuna Rao, CPW Fed T-Stub and U-Slot
Reconfigurable Antenna for Wi-Fi And WLAN Communication
Applications, Journal of Advanced Research in Dynamical and Control
Systems, Vol 9, Issue 14, 2017, pp 2104-2116.
V. C.Y. Chiu, J. Li, S. Song, and R. D.Murch, Frequency reconfigurable
pixel slot antenna, IEEE Trans. Antennas Propag., vol. 60, no. 10, pp.
4921–4924, 2012
VI. D. Sreenivasa Rao, G. Lalitha, S. Mohammad Parvez, J. Naveen, D. Mani
Deepak, A. N. Meena Kumari, A Frequency Reconfigurable Spiral FShaped
Antenna for Multiple Mobile Applications, Lecture Notes in
Electrical Engineering, ISSN: 1876-1100, Vol 471, 2018, pp 571-580
VII. D. Sreenivasa Rao, J. Lakshmi Narayana, Microstrip Parasitic Strip
Loaded Reconfigurable Monopole Antenna, ARPN Journal of
Engineering and Applied Sciences, ISSN: 1819-6608 VOL. 11, NO. 19,
OCTOBER 2016, pp 1-7.

VIII. D. Sreenivas Rao, K. Supraja, K15 Nematic Phase Liquid Crystal
Material Based Double-Dipole Reconfigurable Antenna, Rasayan Journal
of Chemistry, ISSN: 0974-1496, Vol 10, No 3, Jul-2017, pp 866-872.
IX. G Jyothsna Devi, Reconfigurable Mimo Antenna For 5G Communication
Applications, International Journal of Pure and Applied Mathematics, Vol
117, No. 18, 2017, pp 89-95.
IX. K.Praveen Kumar, Kumaraswamy Gajula “Fractal Array antenna Design
for C-Band Applications”, International Journal of Innovative Technology
and Exploring Engineering (IJITEE), Volume-8 Issue-8 June, 2019
(SCOPUS Indexed)
X. K.Praveen Kumar, “Active Switchable Band-Notched UWB Patch
Antenna”, International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019 (SCOPUS Indexed)
XI. K.Praveen Kumar, “Circularly Polarization of Edge-Fed Square Patch
Antenna using Truncated Technique for WLAN Applications”,
International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019 (SCOPUS Indexed)
XII. K.Praveen Kumar, “Triple Band Edge Feed Patch Antenna; Design and
Analysis”, International Journal of Innovative Technology and Exploring
Engineering (IJITEE), Volume-8 Issue-8 June, 2019 (SCOPUS Indexed)
XIII. K.Praveen Kumar, Dr. Habibulla Khan “Optimization of EBG structure
for mutual coupling reduction in antenna arrays; a comparitive study”
International Journal of engineering and technology, Vol-7, No-3.6,
Special issue-06, 2018. page 13- 20. (SCOPUS Indexed)
XIV. K.Praveen Kumar, Dr. Habibulla Khan “Active PSEBG structure design
for low profile steerable antenna applications” Journal of advanced
research in dynamical and control systems, Vol-10, Special issue-03,
2018. (SCOPUS Indexed)
XV. K.Praveen Kumar, Dr. Habibulla Khan, “Design and characterization of
Optimized stacked electromagnetic band gap ground plane for low profile
patch antennas” International journal of pure and applied mathematics,
Vol 118, No. 20, 2018, 4765-4776. (SCOPUS Indexed)
XVI. Kosuru Murthy, Kodidasu Umakantham, Korlapati Satyanarayana
Murthy, Reconfigurable Notch Band Monopole Slot Antenna for
WLAN/IEEE-802.11n Applications, International Journal of Intelligent
Engineering and Systems, ISSN: 2185-3118, Vol 10, No 6, Oct-2017, pp
166-173.
XVII. K S R Murthy, K Umakantham, K S N Murthy, U-Shaped Slotted
Reconfigurable Monopole with WIMAX Band Notching, Journal of
Advanced Research in Dynamical and Control Systems, Vol 9, Issue 14,
2017, pp 1911-1919.

XVIII. Lai, M., T. W. J. Hsieh, and C. W. S. Jeng, Design of reconfigurable
antennas based on an L-shaped slot and PIN diodes for compact wireless
devices, IET Microwaves, Antennas & Propagation, Vol. 3, No. 1, 47-54,
2009.
XIX. M. Ajay Babu, B. Mohan Reddy, R. Divya Chaitanya, T. Satish and T.
Anilkumar, A Dual-Polarization Reconfigurable Antenna with Beam
Switching Characteristics For S-Band Applications, ARPN Journal of
Engineering and Applied Sciences, ISSN 1819-6608, Vol. 12, No. 16,
Aug 2017, pp 4841-4847.
XX. M. Ajay Babu, P. Farhana Banu, G. Harsha Sai Teja, P. Prashanth, K. L.
Yamini, Octagonal Shaped Frequency Reconfigurable Antenna for Wi-Fi
and Wi-MAX Applications, Lecture Notes in Electrical Engineering,
ISSN: 1876-1100, Vol 471, 2018, pp 581-588, doi.org/10.1007/978-981-
10-7329-8_59.
XXI. M Ajay Babu, M Venkateswara Rao, Design and Analysis of Stepped
Reconfigurable Rectangular Patch Antenna for LTE, Vehicular and Ultra
Wideband Applications, International Journal of Engineering and
Technology, Vol 7, Issue 1.1, 2018, pp 548-553.
XXII. P Pardhasaradhi, T Anilkumar, Design of Compact Reconfigurable
Antenna with Triple Band Switchable Characteristics, International
Journal of Engineering and Technology, Vol 7, Issue 1.1, 2018, pp 554-
559.
XXIII. T V Ramakrishna, N Kiran, B Sravani, N Vamsi and K L Yamini,
Frequency Reconfigurable Antenna for Ku-Band Applications, ARPN
Journal of Engineering and Applied Sciences, ISSN: 1819-6608, Vol. 12,
No. 22, 2017, pp 6527-6532.
XXIV. U Ramya, M Ajay Babu, M Venkateswara Rao, Double Notch
Reconfigurable Monopole Antenna with Stub Loaded DGS, International
Journal of Pure and Applied Mathematics, Vol 117, No. 18, 2017, pp 97-
103
XXV. Vamseekrishna.A, Y. Nagarjuna, S. Lakshmi Manasa, V. Mourya, Y.
Yaswant, Reconfigurable Notch Band Antenna Using PIN Diodes, Journal
of Advanced Research in Dynamical and Control Systems, Vol 9, Issue
14, 2017, pp 1746-1754.
XXVI. Yuvraj Baburao Dhanade, K Sreelakshmi, Pronami Bora, Mona Mudliar,
Frequency Reconfigurable Dual Band Antenna for Wireless
Communications, Journal of Advanced Research in Dynamical and
Control Systems, Vol 9, Issue 14, 2017, pp 2328-2345.

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Abstract:

Home automation system (HAS) finds its applications and become popular worldwide now a days. It makes the life easier and flexible and also guarantees a security to the user. HAS has the capability to control the home appliances such as fans, light etc. That is operated at 230 V A.C. These appliances can be controlled through a simple voice command. HAS gives the feedback to the user and hence a virtual environment has been created between them. This virtual environment feels to the user and he is talking to the other person. This concept is not popular in developing nations as compared to the developed because of its cost. This is decision based interative system so these are heavily coded. The proposed methodology gives the VCHAS based on ZigBee and Wi-Fi network both are incorporated through a joint gateway. The attempt to control the appliances without any physical efforts by the user makes the approach more dependable, friendly and interactive, makes it more authentic and realistic in nature.

Keywords:

Home Automation,BitVoicer,Zigbee,Wifi,Home appliances,

Refference:

I. Abhay Kumar, Neha Tiwari “Efficient smart home automation system”
International Journal of Scientific Engineering and Research (IJESR) vol.3
No. 1 January 2015.
II. *1Muhammad Aamir Aman, 2Hamza Umar Afridi, 3Muhammad
Zulqarnain Abbasi, 4Akhtar Khan, 5Muhammad Salman. Power Generation
from Piezoelectric Footstep Technique 1,2,3,4,5 Department of Electrical
Engineering, Iqra National University, Pakistan Email:
aamiraman@inu.edu.pk *Corresponding author: Muhammad AamirAman,
E-mail: aamiraman@inu.edu.pkJ.Mech.Cont.& Math. Sci., Vol.-13, No.-4,
September-October (2018) Pages 67-72 67
III. 1Muhammad Aamir Aman, 2Muhammad Zulqarnain Abbasi, 3Akhtar
Khan, 4Waleed Jan, 5Mehr-e-Munir Power Generator Automation, Monitoring and Protection System 1,2,3,4,5 Department of Electrical Engineering, Iqra National University, Pakistan Email:mehre.
munir@inu.edu.pk *Corresponding author: Mehr-e-Munir, E-mail:
mehre.munir@inu.edu.pkJ.Mech.Cont.& Math. Sci., Vol.-13, No.-4,
September-October (2018) Pages 122-133 122

IV. Mitali Pati!, Ashwini Bedare, Varsha Pachame of Computer Engineering,
University of Pune, India, “The design and implementation of voice
controlled wireless intelligent home automation system based on ZigBee”,
International Journal of Advanced Research In Computer Science Software
Engineering,ISSN:2277128X,Vol.3,No.4,April2013.
V. *1Muhammad Aamir Aman, 2Muhammad Zulqarnain Abbasi, 3Hamza
Umar Afridi, 4Khushal Muhammad, 5Mehr-e-MunirPrevailing Pakistan’s
Energy Crises.1,2,3,4,5 Department of Electrical Engineering, Iqra National
University, Pakistan Email: aamiraman@inu.edu.pk *Corresponding
author: Muhammad AamirAman, E-mail:
aamiraman@inu.edu.pkJ.Mech.Cont.& Math. Sci., Vol.-13, No.-4,
September-October (2018) Pages 147-154
VI. Md. Raihaan ,Md. Aiman and Md. Yusof “Low cost smart home
automation via Microsoft speech recognition” , International journal of
Engineering and computer science IJECS and IJENS Vol. 13, No. 03, pp6-
11 , June 2013.
VII. *Muhammad Aamir Aman, 2Muhammad Zulqarnain Abbasi, 3Murad Ali,
4Akhtar Khan.To Negate the influences of Un-deterministic Dispersed
Generation on Interconnection to the Distributed System considering Power
Losses of the system 1 Department of Electrical Engineering, Iqra National
University, Pakistan Email : aamiraman@inu.edu.pk *Corresponding
author: Muhammad Aamir Aman, E-mail: aamiraman@inu.edu.pk
J.Mech.Cont.& Math. Sci., Vol.-13, No.-3, July-August (2018) Pages 117-
132 117
VIII. *1 Muhammad Aamir Aman, 2Muhammad Zulqarnain Abbasi, 3Hamza
Umar Afridi, 4Mehr-e-Munir, 5 Jehanzeb Khan. Photovoltaic (PV) System
Feasibility for UrmarPayan a Rural Cell Sites in Pakistan Department of
Electrical Engineering, Iqra National University, Pakistan. Email:
aamiraman@inu.edu.pk *Corresponding author: Muhammad AamirAman,
E-mail: aamiraman@inu.edu.pkJ.Mech.Cont.& Math. Sci., Vol.-13, No.-3,
July-August (2018) Pages 173-179 173
IX. S. AllU’utha, S. Aravind, Ansu Mathew, R. Swathyugathan, Rajasree and
S. Priyalakshmi ,”Speech Recognition Based Wireless Automation of Home
Loads- E Home”, International Journal of Engineering Science and
hmovative Technology(lJESIT), ISSN: 2319-5967, Vol.4, No. I, January
2015.

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