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- International Journal of Innovative Research in Information Security is an International peer-reviewed research publishing journal with a laser-beam focal aim of promoting and publishing original high quality research dealing with theoretical and scientific aspects in all disciplines of Information Technology. It is a monthly published online international scientific research journal focusing on issues in information technology research.
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- IJIRIS:: International Journal of Innovative Research in Information Security, Volume VII (Issue IX): 81-86 (September 2020)1. Noor, Sanjeevikumar Padmanaban , Lucian Mihet-Popa , Mohammad Nurunnabi Mollah and Eklas Hossain, “Components, Technologies, Challenges, Impacts, and Future Direction of Development”, Khulna University of Engineering and Technology, Khulna 9203, Bangladesh. 2. Mattia Ricco, et. al., “A Capacitor Voltage Balancing Approach Based on Mapping Strategy for MMC Applications” at University of Bologna, 40136 Bologna, 2019. 3. Miguel Moranchel, Francisco Huerta, Inés Sanz, Emilio Bueno and Francisco J. Rodríguez, “A Comparison of Modulation Techniques for Modular Multilevel Converters”, Universidad de Alcalá, Escuela Politécnica, 28805 Alcalá de Henares, Spain, 2016. 4. Xiaojie Shi, Zhiqiang Wang, Leon M. Tolbert and Fred Wang Center for Ultra-wide-area Resilient Electric Energy Transmission Networks (CURENT) “A Comparison of Phase Disposition and Phase Shift PWM Strategies for Modular Multilevel Converters” The University of Tennessee Knoxville, TN 37996-2250, USA-2013 5. Binbin Li, Shaoze Zhou, and Dianguo Xu, Stephen J. Finney, and Barry W. Williams “A Hybrid Modular Multilevel Converter for Medium-Voltage Variable-Speed Motor Drives” National Natural Science Foundation of China (51237002) and (51477034). 6. Mahran Quraan, Pietro Tricoli, Salvatore D’Arco, and Luigi Piegari, Senior,“Efficiency Assessment of Modular Multilevel Converters for Battery Electric Vehicles” University of Birmingham, Birmingham, March 2017. 7. Meiqin Mao , , Yong Ding, Liuchen Chang, Nikos D. Hatziargyriou, Fellow, Qiang Chen, Tinghuan Tao, and Yunwei Li, “Multi-Objective Power Management for EV Fleet With MMC-Based Integration Into Smart Grid” Ieee Transactions On Smart Grid, Vol. 10, No. 2, March 2019 8. Jahangeer Soomro, et. al., Comparative Analysis of Modular Multilevel Converter with Cascaded H Bridge Inverter using Five, Seven and Nine levels” International Journal of Recent Technology and Engineering, Vol. 7, Iss. 5S4, 2019 9. Elena Vergori ID, Francesco Mocera ID and Aurelio Somà ,I”Battery Modelling and Simulation Using a Programmable Testing Equipment”, 2018. 10. Yi Wang, et. al., “Nearest Level PWM Method for the MMC in DC Distribution Grids” North China Electric Power University, Baoding 071003, China. 11. Zhan Ma , Feng Gao , Xin Gu , Nan Li , Decun Niu “An Online SOH Testing Method of MMC Battery Energy Storage System” Jinan, China -2018. 12. Amrutvahini College of Engineering, Sangamner, India2,”Chandrakant Rahane, Vaibhav Varpe “Design and fabrication of regenerative braking system”, 2018. 13. Mattia Ricco, et. al., “FPGA-Based Implementation of MMC Control Based on Sorting Networks” at Cergy-Pontoise University, 95031 Cergy Pontoise, France; 2018. 14. Pratik Bhandari, et. al., Regenerative Braking Systems (RBS)” International Journal of Scientific & Engineering Research, University of Mumbai, India, 2017. 15. Sourabh Rathore, Mukesh Kumar Kirar and S. K Bhardwaj, “ H- Bridge Multilevel Inverter Using Pd, Pod, Apod Techniques”, Department of Electrical Engineering, MANIT, Bhopal, 2015..
- IJIRIS:: International Journal of Innovative Research in Information Security, Volume VII (Issue IX): 89-98 (October 2020)1. Andrea Zanella, Lorenzo Vangelista, Nicola Bui, Angelo Castellani, Michele Zorzi ―”Internet of Things for Smart Cities”, IEEE INTERNET OF THINGS JOURNAL, VOL. 1, NO. 1, FEBRUARY 2014 2. Salha M. Alzahrani ―”Sensing for the Internet of Things and Its Applications”, 978-1-5386-3281-9/17 $31.00 © 2017 IEEE DOI 10.1109/W-FiCloud.2017.33 3. H.Schaffers, N.Komninos, M.Pallot, B.Trousse, M.Nilsson, A.Oliveira, “Smart Cities and the Future Internet: Towards Cooperation Frameworks for Open Innovation”, The Future Internet, Lecture Notes in Computer Science Volume 6656, pp. 431-446, 2011. 4. D.Cuff, M.Hansen, and J.Kang, “Urban sensing: out of the woods.” Communications of the ACM vol. 51, no. 3, pp. 24-33, Mar. 2008. 5. H.Arasteh, V.Hosseinnezhad, V.Loia, A.Tommasetti, O.Troisi, M.Shafie-khah, P. Siano ”Iot-based Smart Cities: a Survey”, 978-1-5090-2320-2/16/$31.00 ©2016 IEEE. 6. Arun Kumar Rana , Ram krishna , Sachin Dhwan3, Dr. Sharad Sharma, Dr. Rashmi Gupta ”Review on Artificial Intelligence with Internet of Things - Problems, Challenges and Opportunities”,978-1-7281-1793-5/19/$31.00 ©2019 IEEE 7. Husam Rajab, Tibor Cinkelr ” IoT based Smart Cities”, 978-1-5386-3779-1/18/$31.00 ©2018 IEEE. 8. B.Hammi, R.Khatoun, S.Zeadally, A.Fayad and L.Khoukhi, "IoT technologies for smart cities," in IET Networks, vol. 7, no. 1, pp. 1-13, 1 2018. 9. D.El-Baz and J.Bourgeois,“Smart cities in Europe and the alma logistics project,” ZTE Commun., vol. 13, no. 4, pp. 10–15, 2015 10. H.Arasteh, V.Hosseinnezhad, V.Loia, A.Tommasetti, O.Troisi, M.Shafie-khah, P.Siano” Iot-based Smart Cities: a Survey” , 978-1-5090-2320-2/16/$31.00 ©2016 IEEE 11. M.M.Rathore, A.Ahmad, A.Paul, S.Rho, “Urban planning and building smart cities based on the internet of things using big data analytics,” Comput. Netw., 2016, DOI: 10.1016/j.comnet.2015.12.023 12. N.Neyestani, M.Y.Damavandi, M.Shafie-khah and J.P.S.Catalão ― “Modeling the PEV traffic pattern in an urban environment with parking lots and charging stations,” PowerTech, 2015 IEEE Eindhoven, Eindhoven, 2015, pp. 1-6. 13. M.Yazdani-Damavandi, M.P.Moghaddam, M.R.Haghifam, M.Shafie-khah, J.P.S.Catalão, "Modeling Operational Behavior of Plug-in Electric Vehicles’ Parking Lot in Multienergy Systems," IEEE Trans. Smart Grid, vol. 7, pp. 124-135, 2016. 14. N.Neyestani, M.Y.Damavandi, M.Shafie-Khah, J.Contreras, and J.P.S.Catalão, Ällocation of plug-in vehicles' parking lots in distribution systems considering network-constrained objectives," IEEE Trans. Power Syst., vol. 30, pp. 2643-2656, 2015. 15. M.Shafie-khah, E.Heydarian-Forushani, M.E.H.Golshan, P. Siano, M.P. Moghaddam, M.K. Sheikh-El-Eslami, and J.P.S. Catalão, “Optimal trading of plug-in electric vehicle aggregation agents in a market environment for sustainability,” Appl. Energy, Volume 162, 15 January 2016, Pages 601-612 16. A.K.Evangelos, D.T.Nikolaos, and C.B.Anthony, “Integrating RFIDs and smart objects into a Unified Internet of Things architecture,” Advances in Internet of Things, vol. 1, pp. 5-12, 2011. 17. J.Gubbi, R.Buyya, S.Marusic, and M.Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Future Gener. Comput. Syst., vol. 29, pp. 1645–1660, 2013. 18. A.Botta, W.de Donato, V.Persico, and A.Pescapé, ― “Integration of cloud computing and internet of things: a survey”, Future Gener. Comput. Syst., vol. 56, pp. 684–700, 2016. 19. R.Fielding,―“Representational state transfer,” Architectural Styles and the Design of Network-based Software Architecture, pp.76-85,2000. 20. A.P.Castellani, N.Bui, P.Casari, M.Rossi, Z.Shelby and M.Zorzi ― “Architecture and protocols for the Internet of Things: A case study,” 8th IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 678–683, 2010 21. Z. Shelby, K. Hartke, C. Bormann, and B. Frank.―“Constrained Application Protocol (CoAP).” draft-ietf-core-coap-18. s.l. : IETF, 2013. 22. A.Castellani, S.Loreto, A.Rahman, T.Fossati and E.Dijk.―“Best Practices for HTTP-CoAP Mapping Implementation.” draft-castellanicore-http-mapping-07. s.l. : IETF, 2013..
- IJIRIS:: International Journal of Innovative Research in Information Security, Volume VII (Issue X): 99-103 (December 2020)1. Argyris, C., & Schon, D., (1978). Organizational Learning: A Theory of Action Perspective, Addison-Wesley, Reading, MA. 2. Argyris, C., Putman, R., and McLain Smith, D., (1985). Action Science, Concepts, Methods, and Skills for Research and Intervention, San Francisco, Jossey Bass 3. Bapuji, H., and Crossan, M. (2004). From Raising Questions to Providing Answers: Reviewing Organizational Learning Research, Management Learning, Vol. 35, No.4, PP. 397-417. 4. Bhattacherjee, A. (2012). Social Science Research: Principles, Methods, and Practices (2nd ed.). Textbooks Collection. Book 3. http://scholarcommons.usf.edu/oa_textbooks/3 5. C. Mausolff., (2004). Learning from feedback in performance measurement systems. Public Performance and Management Review, 28: 9-29 4. 6. C.M. Graham and F.M. Nafukho. (2007). Culture, organizational learning, and selected employee background variables in small size business enterprises. Journal of European Industrial Training, 31:127-144 6. 7. Chiva, R., Grandío, A., & Alegre, J., (2010). Adaptive and Generative Learning: Implications from Complexity Theories, International Journal of Management Reviews, Vol. 12, No. 2, PP. 114-129. 8. De Geus, A.p. (1988). Planning as learning Harvard Business Review,66(2),70-74. 9. Dimovski, V., (1994). Organizational Learning and Competitive Advantage, Ph.D. Thesis, Cleveland, Ohio 10. Farago, J., and Skyrme, D., (1995). The Learning Organization, (On-line), Available at http://www.skyrme.com/insight/3lrnorg.htm 11. Farago, J., and Skyrme, D., (1995). The Learning Organization, (On-line), Available at http://www.skyrme.com/insight/3lrnorg.htm. fifth edition (5th ed.). Edinburgh Gate, Harlow, Pearson Education Limited. 12. Finger, M., & Brand, S., (1999). The Concept of The Learning Organization, Applied To The Transformation of The Public Sector, In M. Easterby-Smith, L. Araujo and J. Burgoyne, Organizational Learning and The Learning Organization, London: Sage, P.2..
- International Journal of Innovative Research in Information Security, VIII (II): 06-09 (July 2021)1. Door Unlock using Face Recognition (Abdul Azeem, Sathuluri Mallikarjun Rao,Kandula Rama Rao, Shaik Akbar Basha, Harsha Pedarla, Modela Gopi) 2. Facial Recognition Enabled Smart Door Using Microsoft Face API (Karan Maheshwari , Nalini N) 3 Automated door access control system using face recognition (Tejas Saraf, Ketan Shukla, Harish Balkhande, Ajinkya Deshmukh) 3. Facial recognition enabled smart door unlock system(M Vamsi Krishna, A Bhargav Reddy, V Sandeep) 4. Smart Door with Face UnlockApache2.0 (https://create.arduino.cc) (Divins Mathew) 5. Makers Pro Projects(Simple Door Lock Using Face recognition Solenoid Lock)(Muhammad Aqib).
- International Journal of Innovative Research in Information Security, 8 (3): 27-33 (August 2021)1. Abdulkadir Sengur, “An expert system based on linear Discriminant analysis and adaptive neuro-fuzzy inference system to diagnosis heart valve diseases”, ELSEVIER, Expert Systems with Applications 35, 214-222, 12 June 2007. 2. Jain Yu, “General C-Means Clustering Model”, IEEE Transactions On Pattern Analysis And Machine Intelugence, VOL. 27, NO. 8, August 2005. 3. Meyer-Baese, O. Lange, A. wismueller, and M. K. Hurdal, “Analysis of Dynamic Susceptibility constrast MRI Time Series Based on Unsupervised Clustering Methods”, IEEE Transactions on Information Technology in Biomedicine, VOL. 11, NO. 5, September 2007. 4. Shaikh Abdul Hannan, "Heart Disease Diagnosis by using FFBP and GRNN algorithm of Neural Network", International Journal of Computer Science and Information Security, Vol 12, Number 6, June 2014, ISSN 1945-5500, United States of America. 5. Fraser, H.S.F., et al., “Differential diagnoses of the heart disease program have better sensitivity than Resident Physicians”, Tufts-New England Medical Center, Boston, MA(2001). 6. Mohammad Eid Alzaharani, Shaikh Abdul Hannan, “Diagnosis and Medical Prescription of Heart Disease Using FFBP, SVM and RBF”, Issue,1, Vol 5, , KKU Journal of Basic and Applied Sciences, Mar 2019 , Page 6-15. 7. Frawley and Piatetsky-Shapiro, 1996. Knowledge Discovery in Databases: An Overview. The AAAI/MIT Press, Menlo Park, C.A. 8. Aqueel Ahmed, Shaikh Abdul Hannan, “Data Mining Techniques to Find Out Heart Diseases: An Overview”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), An ISO 9001:2008 Certified International Journal, Volume-1, Issue-4, September 2012, ISSN: 2278-3075, New Delhi, India. 9. I. Turkoglu, A. Arslan, E. Ilkay, “An expert system for diagnosis of the heart valve diseases”, Expert Systems with Applications vol.23, pp. 229–236, 2002. 10. I. Turkoglu, A. Arslan, E. Ilkay, “An intelligent system for diagnosis of heart valve diseases with wavelet packet neural networks”, Computer in Biology and Medicine vol.33 pp.319–331, 2003. 11. Haque ME, Sudhakar KV. ANN back propagation prediction model for fracture toughness in microalloy steel. Int J Fatique 2002;24:1003–10. 12. Shaikh Abdul Hannan, A.V. Mane, R. R. Manza and R. J. Ramteke, “Prediction of Heart Disease Medical Prescription Using Radial Basis Function", IEEE International Conference on Computational Intelligence and Computing Research at Tamilnadu College of Engineering, Coimbatore, Tamilnadu, India, ICCIC-2010, December 28-29, 2010. 13. P.I.J. Keeton, F.S. Schlindwein, Application of Wavelets in Doppler Ultrasound, vol. 17, number 1, MCB University Press, 1997, pp. 38–45. 14. I.A. Wright, N.A.J. Gough, F. Rakebrandt, M. Wahab, J.P. Woodcock, Neural network analysis of Doppler ultrasound blood low signals: a pilot study, Ultrasound in Medicine & Biology 23 (5) (1997) 683–690. 15. I. Guler, M.K. Kiymik, S. Kara, M.E. Yuksel, Application of autoregressive analysis to 20 MHz pulsed Doppler data in real time, International Journal Biomedical Computing 31 (3–4) (1992) 247–256. 16. Shaikh Abdul Hannan, "Heart Disease Diagnosis by using FFBP and GRNN algorithm of Neural Network", International Journal of Computer Science and Information Security, Vol 12, Number 6, June 2014, ISSN 1945-5500, United States of America. 17. Santosh K. Maher, Sumegh Tharewal, Abdul Hannan, “Review on HRV based Prediction and Detection of Heart Disease”, International Journal of Computer Applications (0975 – 8887), Pag 7-12, Volume 179 – No.46, June 2018. 18. https://www.who.int/en/news-room/fact sheets/detail/cardiovascular-diseases-(cvds) https://www.mayoclinic.org/diseases-conditions/stroke/symptoms-causes/syc-20350113. 19. Shaikh Abdul Hannan, “An Overview of Big Data and Hadoop”, International Journal of Computer Application”, Volume 154, Number 10, ISSN – 0975-887, November 2016, New York, USA. 20. Santosh Maher, Shaikh Abdul Hannan, Sumegh Tharewal, K. V. Kale " HRV based Human Heart Disease Prediction and Classification using Machine Learning " December 2019, (Vol. 17 No. 2 International Journal of Computer Science and Information SecApplicatiion (IJCA), New York, USA. 21. Akram Ablsubari, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, Rakesh Ramteke, "Composite Feature Extraction and Classification for Fusion of Palmprint and Iris Biometric Traits", Engineering Technology and Applied Science Research, (ETASR) Volume 9, No 1, Feb 2019, ISSN: 2241-4487, Greece. 22. Yogesh Rajput, Shaikh Abdul Hannan, Mohammed Eid Alzaharani, D. Patil Ramesh Manza, Design and Development of New Algorithm for person identification Based on Iris statistical features and Retinal blood Vessels Bifurcation points” ” International Conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R), December 21-22, 2018, India. 23. Yogesh Rajput, Shaikh Abdul Hannan, “Design New Wavelet Filter for Detection and Grading of Non-proliferative Diabetic Retinopathy Lesions”, International Conference on Recent Trends in Image Processing and Pattern Recognition, Jan 2020, Springer, Singpore. 24. Y. M. Rajput, A. H. Hannan, M. E. Alzahrani, R. R. Manza, D. D. Patil, “EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques–A Review”, International Journal of Computer Sciences and Engineering, Vol 6, Issue 9, Sep 2018. 25. Shaikh Abdul Hannan, Bharatratna P. Gaikwad, Ramesh Manza, "Brain Tumor from MRI Images : A Review". International Journal of Scientific and Engineering Research (IJSER), Volume 5, Issue 4, April-2014 ISSN 2229-5518, France. 26. Eliane Rich and KevinKnight – Artificial Intelligence – Secone Edition Mcgraw Hill , 1983. 27. Long, W., et.al., “Developing a program for Tracking Heart Failure”, MIT Lab for Computer Science, Cambridge, MA(2001). 28. Frase, H.S.F., et.al., “Comparing complex diagnoses a formative evalution of the heart disease program”, MIT Lab for Computer Science, Cambridge, MA(2001) 29. Shaikh Abdul Hannan, A.V. Mane, R. R. Manza and R. J. Ramteke, “Prediction of Heart Disease Medical Prescription Using Radial Basis Function", IEEE International Conference on Computational Intelligence and Computing Research at Tamilnadu College of Engineering, Coimbatore, Tamilnadu, India, ICCIC-2010, December 28-29, 2010. 30. J. Galindo, P. Tamayo, Credit risk assessment using statistical and machine learning: basic methodology and risk modeling applications, Computational Economics 15 (1 – 2) (2000) 107–143 31. V. Vapnik, The Nature of Statistical Learning Theory, Springer- Verlag, New York, 1995. 32. M.A. Hearst, S.T. Dumais, E. Osman, J. Platt, B. Scho¨lkopf, Support vector machines, IEEE Intelligent Systems 13 (4) (1998) 18– 28. 33. Broomhead D., & Lowe, D., Multivariable functional interpolation and adaptive networks. Complex Systems, vol.2, pp.321-355, 1988. 34. Haralambos Sarimveis, Philip Doganis, Alex Alexandridis, “A classification technique based on radial basis function neural networks”, Advances in Engineering Software vol.37, pp.218–221, 2006. 35. Shaikh Abdul Hannan, Pravin Yannawar, R.R. Manza and R.J. Ramteke, “Expert System Data Collection Technique for Heart Disease” , in IT & Business Intelligence, on 06-08 Nov 2009, Organised By IMT, Nagpur, India. 36. Haralambos Sarimveis, Philip Doganis, Alex Alexandridis, “A classification technique based on radial basis function neural networks”, Advances in Engineering Software vol.37, pp.218–221, 2006. 37. Chauvin in, Y and D.E. Ruumehart Backpropagation : Theory, Architechtures and Applications, Erbaum Mahwah, NJ, ISBN : 080581258. PP 561, 1995. 38. Shaikh Abdul Hannan, V. D. Bhagile, R.R. Manza, R. J. Ramteke, “Heart Disease Diagnosis By Using FFBP algorithm of Artificial Neural Network”, International Conference on Communication, Computation, Control and Nanotechnology, ICN-2010 Organized by Rural Engineering College Bhalki-585328, during October 29-30, 2010. 39. Cigizoglu HK, Alp M. Generalized regression neural network in modelling river sediment yield. Adv Eng Software 2005;37:63–8. 40. Kim B, Lee DW, Parka KY, Choi SR, Choi S. Prediction of plasma etching using a randomized generalized regression neural network. Vacuum 2004;76:37–43 41. Jang JSR, Sun CT, Mizutani E. Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence, Prentice Hall, Upper Saddle River, New Jersey, USA; 1997 Chapter 9. 42. Shaikh Abdul Hannan, R. R. Manza and R.J. Ramteke, “Association Rules for Filtering The Medicine To Avoid Side Effects Of Heart Patients”, on 16 -19 Dec 2009, at Advances in Computer Vision and Information Technology – 09, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. 43. Anupriya Kamble, Abdul Hannan, Yogesh, Dnyaneshwari, “Association detection of Regular Insulin and NPH Insulin Using Statistical Features”, Second International Conference on Cognitive Knowledge Engineering, 21-23 December 2016 (ICKE-2016), Aurangabad, Maharashtra, India, pp 59-62, ISBN 978-93-80876-89-4. 44. Shaikh Abdul Hannan, Pravin Yannawar, R. R. Manza and R.J. Ramteke, “Data Mining Technique for Detection of Cardiac Problems Using Symptoms Medicine and Its Side effects”, in IT & Business Intelligence -09 , in IT & Business Intelligence, on 06-08 Nov 2009, Organized By IMT, Nagpur, India. 45. Shaikh Abdul Hannan, Jameel Ahmed, Naveed Ahmed, Rizwan Alam Thakur, “Data Mining and Natural Language Processing Methods for Extracting Opinions from Customer Reviews”, International Journal of Computational Intelligence and Information Security, pp 52-58, Vol. 3, No. 6, July 2012. ( ISSN: 1837-7823). 46. Ordonez C,” Association rule discovery with the train and test approach for heart disease prediction”, IEEE Transactions on Information Technology in Biomedicine, P(334 – 343), April 2006 47. Aqueel Ahmed, Shaikh Abdul Hannan, “Data Mining Techniques to Find Out Heart Diseases: An Overview”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), An ISO 9001:2008 Certified International Journal, Volume-1, Issue-4, September 2012, ISSN: 2278-3075, New Delhi, India. 48. AbuKhousa, E “Predictive data mining to support clinical decisions: An overview of heart disease prediction systems”, IEEE Transaction on Innovations in Information Technology (IIT), pp(267 - 272) March 2012..
