Volume-8 , Issue-1 , Feb 2020, ISSN 2321-3256 (Electronic Version) Go Back

• Open Access   Article

  Using Knowledge Discovery to Enhance Classification Techniques for Detect Malaria-Infected Red Blood Cells

  J. A. Alkrimi, Sh. A. Toma, R. S. Mohammed, L. E. George

  Research Paper | Journal (IJSRNSC)

  Vol.8 , Issue.1 , pp.1-6, Feb-2020

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  Malaria is one of the three most serious diseases worldwide, affecting millions each year, mainly in the tropics where the most serious illnesses are caused by Plasmodium falciparum. The aim of this research paper is to enhance the main machine-learning classification algorithms that used for malaria-infected red blood cells (MRBCs) and evaluation the classification model accuracy. This study uses knowledge discovery technique to analyses the blood smear images. The system that determines the computerized methods of image analysis generally involves three main phases. Firstly, data collection, pre-processing and feature extraction are conducted based on the characteristics of normal and MRBCs. Secondly, application knowledge discovery process to extracts high quality information of normal and MRBCs. Thirdly, using prediction model of classification machine learning algorithms to classify 1000 RBCs sample. After that, use ten-fold cross-validation to evaluation overfitting model and the confusion matrix to evaluate the performance of a classification model. The results indicate that the algorithms achieve high accuracy more than 92.3%. Also, obtain high prediction 90.8%, reliability 92% and ability to distinguish positive and negative classification model 93%. In addition, the reduction in time build the model was very clearly, 13.6 second and 5.8 times faster respectively.

  Key-Words / Index Term
  knowledge discovery, machine learning classification algorithms, feature extraction and feature redaction, red blood cells

  References
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  [2] Akter, F. H. (2018). Classification of Hematological Data Using Data Mining Technique to Predict Diseases. Journal of Computer and Communications, 6, 76-83. https://doi.org/10.4236/jcc.2018.64007 Received.
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  [6] Fernando, M. B. (2018). Plasmodium Falciparum Malaria and Severe Dengue Coinfection in a Pulmonary Tuberculosis Patient: Case Report and Literature Review. Archives of Clinical and Medical Case Reports, 2(3), 82-89.
  [7] Report, W. H. (2015). URL: www.who.int/malaria/publications/world-malaria-report-2015.
  [8] Poostchi, M. S. (2018). Image analysis and machine learning for detecting malaria. Translational Research, 194, 36-55.
  [9] Varma, S. L. (2019). Detection of Malaria Parasite Based on Thick and Thin Blood Smear Images Using Local Binary Pattern. In Computing Communication and Signal Processing, Springer, Singapore., pp. 967-975).
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  [13] Chakraborty, D. D. (2015). Computational microscopic imaging for malaria parasite detection: a systematic review. Journal of microscopy, 260(1), 1-19.
  [14] Sajana, T. &. (2018). Classification of Imbalanced Malaria Disease Using Naïve Bayesian Algorithm. International Journal of Engineering & Technology, 7(2.7), 786-790.
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  Citation
  J. A. Alkrimi, Sh. A. Toma, R. S. Mohammed, L. E. George, "Using Knowledge Discovery to Enhance Classification Techniques for Detect Malaria-Infected Red Blood Cells," International Journal of Scientific Research in Network Security and Communication, Vol.8, Issue.1, pp.1-6, 2020

• Open Access   Article

  An Improvement of Minimum Variance Distortionless Response Filter

  Quan Trong The

  Research Paper | Journal (IJSRNSC)

  Vol.8 , Issue.1 , pp.7-9, Feb-2020

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  In this paper, the author introduces an improvement of Minimum Variance Distortionless Response’s performance, which uses a priori information of speech presence probability to estimate the necessary matrix of noise. The proposal algorithm computes the smoothing parameter, that adapts with the presence or absence of speech components. The significant amount of noise reduction has provided the effectiveness and ability of increasing the signal-to-noise ratio of this algorithm’s speech enhancement. Post-filtering is an additional technique to enhance the quality of the output signal. The evaluation is presented in promising results of amplitude, spectrogram of original and processed signals.

  Key-Words / Index Term
  microphone array, dual-microphone, minimum variance distortion less response, post-filtering, speech enhancement, speech presence probability

  References
  [1] Brandstein M. and Ward D. (Eds.). Microphone Arrays: Signal Processing Techniques and Applications, Springer, 2001.
  [2] Benesty J. and Chen J. Study and Design of Differential Microphone Arrays, Springer, 2013.
  [3] Benesty J., Chen J., Pan C. Fundamentals of Differential Microphone Arrays, Springer, 2016.
  [4] Ehrenberg L. et al.: Sensitivity Analysis of MVDR and MPDR Beamformers/ IEEE 26-th Convention of Electrical and Electronics Engineers in Israel, 2010, pp. 416-420.
  [5] Lockwood, M. et al.: Performance of time- and frequency-domain binaural beamformers based on recorded signals from real rooms. J. Acoust. Soc. Am. 115 (1), pp. 379-391, (2004).
  [6] Stolbov, M., The, Q. Study of MVDR dual-microphone algorithm for speech enhancement in coherent noise presence. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2019, vol. 19, no.1, pp. 180–183(in Russian).
  [7] Souden M., Benesty J., Affes S., A study of the LCMV and MVDR noise reduction filters, IEEE Trans. Signal Process., vol. 58, pp. 4925–4935, Sept. 2010.
  [8] Gerkmann T. ”Unbiased MMSE-Based Noise Power Estimation with Low Complexity and Low Tracking Delay”, IEEE TASL, 2012.
  [9] Gerkmann T., Hendriks R.”Noise Power Estimation Based on the Probability of Speech Presence”, WASPAA 2011.
  [10] Martin R. Noise power spectral density estimation based on optimal smoothing and minimum statistics IEEE Trans. Speech Audio Process., 9 (5) (July 2001), pp. 504-512.
  [11] https://labrosa.ee.columbia.edu/projects/snreval/.
  

  Citation
  Quan Trong The, "An Improvement of Minimum Variance Distortionless Response Filter," International Journal of Scientific Research in Network Security and Communication, Vol.8, Issue.1, pp.7-9, 2020

• Open Access   Article

  Congestion Aware Reverse AODV Routing Protocol for MANET

  Mani Bushan Dsouza, Manjaiah D.H

  Research Paper | Journal (IJSRNSC)

  Vol.8 , Issue.1 , pp.10-13, Feb-2020

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  One of the enhancement that was made to AODV is called Reverse AODV (RAODV). The RAODV routing algorithm considers the stability of the link during route discovery phase. It was found that, such an enhancement reduces the routing overhead of AODV protocol. However, it was observed that, the packet loss at any node generally occurs due to the congestion across the link. Thus by considering the congestion across the link we can obtain a more stable path with less packet loss. However, RAODV does not take into consideration, congestion across the link during path selection. This paper takes into consideration, the active load of the path during route discovery process and selects a path which is less congested for routing packets. The algorithm is simulated using NS2 and the results are compared with the RAODV. The results of comparison indicate that, the modification indeed reduces the packet loss and provides a better throughput in a small network environment.

  Key-Words / Index Term
  MANET, AODV, RAODV CA-AODV, Active Load, Congestion

  References
  [1] B. Paul, K. A. Bhuiyan, K. Fatema and P. P. Das, "Analysis of AOMDV, AODV, DSR, and DSDV Routing Protocols for Wireless Sensor Network," 2014 International Conference on Computational Intelligence and Communication Networks, Bhopal, pp. 364-369, 2014.
  [2] B. Ding, Z. Chen, Y. Wang and H. Yu, "An improved AODV routing protocol for VANETs," 2011 International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, pp. 1-5, 2011.
  [3] Chonggun Kim, Elmurod Talipov and Byoungchul Ahn, "A reverse AODV routing protocol in ad hoc mobile networks," EUC`06 Proceedings of the 2006 international conference on Emerging Directions in Embedded and Ubiquitous Computing , pp. 522-531 , 2006 .
  [4] M. Tekaya, N. Tabbane and S. Tabbane, "Multipath routing mechanism with load balancing in ad hoc network," in The 2010 International Conference on Computer Engineering & Systems, Cairo, pp. 67-72, 2010.
  [5] Lee, S.-J and Gerla, Mario, "Dynamic load-aware routing in Ad hoc networks," Proceedings of IEEE ICC. 10, vol. 10, pp. 3206 - 3210, 2001.
  [6] Lu Y, Wang W, Zhong Y and Bhargava B., " Study of Distance Vector Routing Protocols for Mobile Ad Hoc Networks," First IEEE International Conference on Pervasive Computing and Communications (PERCOM `03). IEEE Computer Society, Washington, DC, USA, p. 187, 2003.
  [7] Jiawei Huang and Jinaxin Wang, "An ECN-Based Congestion Control Algorithm for TCP Enhancement in WLAN," 11th IEEE International Conference on High Performance Computing and Communications, 2009.
  [8] Antonopoulos, C and Koubias, S, "Congestion Control Framework for Ad-Hoc Wireless Networks," Wireless Pers Commun 52, p. 753–775, 2010.
  [9] T.Senthil Kumaran and V.Sankaranarayanan, "Early congestion detection and adaptive routing in MANET," Egyptian Informatics Journal, vol. 12, no. 3, pp. 165-175, November 2011.
  [10] M. Zarei, K. Faez and J. M. Nya, "Modified Reverse AODV routing algorithm using route stability in mobile ad hoc networks," 2008 IEEE International Multitopic Conference, Karachi, pp. 255-259, 2008.
  [11] M. Zarei, "Reverse AODV routing protocol extension using learning Automata in ad hoc networks," 2nd International Conference on Computer, Control and Communication, Karachi, 2009, pp. 1-5, 2009.
  [12] T.Issariyakul E.Hossain, "Introduction to Network Simulator NS2", Springer,New York, pp. 363-381 2009
  

  Citation
  Mani Bushan Dsouza, Manjaiah D.H, "Congestion Aware Reverse AODV Routing Protocol for MANET," International Journal of Scientific Research in Network Security and Communication, Vol.8, Issue.1, pp.10-13, 2020

• Open Access   Article

  Evaluation of ‘India against Cancer’ Web Portal Using Environmental Scan and Google Analytics

  K Yadav, S Upadhyay, A Chandra, R Hariprasad, R Gupta, R Mehrotra, S Singh, S Gupta

  Research Paper | Journal (IJSRNSC)

  Vol.8 , Issue.1 , pp.14-20, Feb-2020

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  The burden of cancer in our country is rapidly increasing. A robust website can serve as an effective tool to create cancer awareness amongst general population and disseminate comprehensive information on prevalent cancers in our country, to healthcare providers. India Against Cancer’ website has been developed by the ICMR-National Institute of Cancer Prevention and Research with this vision in mind. The objective of this study was to test the effectiveness of the website ‘India Against Cancer’ in creating awareness. For this purpose, nearly two and half year since its inception, the website was evaluated using Google Analytics under 3 parameters viz. Audience, Acquisition & Behaviour and by performing an environmental scan of the available national and international websites on cancer prevention and awareness. The data from google analytics was obtained in two phases viz. Phase I-April 2017 to March 2018 and Phase II-April 2018 to March 2019.The results thus obtained showed that the number of visits increased by 282.9% and majority (80.4%) of the visitors were new visitors. Approximately 68.7% was the organic traffic to the portal and 91.2% visitors were from India. The environmental scan of the existing cancer related websites and India Against Cancer website also suggests that the website has substantially served its intended purpose of creating cancer awareness and providing authentic information on cancer to the public over the past two years.

  Key-Words / Index Term
  Google Analytics, India against Cancer, Web analytics, Web Metrics, Web Portal, Visitors Overview, Environmental scan

  References
  [1] Bray, F, Ferlay, J, soerjomataram, I, siegel, R.L, torre, L.A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6): 394-424.
  [2] Bbccom. Internet used by 32 billion people in 2015. BBC News.
  [3] Webanalyticsassociationcom. Webanalyticsassociationcom. [Online].
  [4] Booth D, Jansen BJ. A review of methodologies for analyzing websites. In Handbook of Research on Web Log Analysis. IGI Global. 2008. p. 143-164
  [5] Clark D, Nicholas D, Jamali HR. Evaluating information seeking and use in the changing virtual world: the emerging role of Google Analytics. Learn Pub. 2014;27(3):185–194.
  [6] Kirk M, Morgan R, Tonkin E, McDonald K, Skirton H. An objective approach to evaluating an internet-delivered genetics education resource developed for nurses: using Google Analytics™ to monitor global visitor engagement. J Res Nurs. 2012;17(6):557–579.
  [7] Song MJ, Ward J, Choi F, Nikoo M, Frank A, Shams F, Tabi K, Vigo D, Krausz M.A Process Evaluation of a Web-Based Mental Health Portal (WalkAlong) Using Google Analytics.JMIR Ment Health 2018;5(3):e50
  [8] Adams K, Liebzeit A, Browne J, Atkinson P.How’s Your Sugar? Evaluation of a Website for Aboriginal People With Diabetes.JMIR Diabetes 2017;2(1):e6
  [9] Rik Crutzen, Johanna L. Roosjen, Jos Poelman, Using Google Analytics as a process evaluation method for Internet-delivered interventions: an example on sexual health, Health Promotion International, 2013;28(1):36–42.
  

  Citation
  K Yadav, S Upadhyay, A Chandra, R Hariprasad, R Gupta, R Mehrotra, S Singh, S Gupta, "Evaluation of ‘India against Cancer’ Web Portal Using Environmental Scan and Google Analytics," International Journal of Scientific Research in Network Security and Communication, Vol.8, Issue.1, pp.14-20, 2020

• Open Access   Article

  Smart Transformer Protection Unit

  Sanket V. Pole, Satyajit S. Chopade, Payal A. Werulkar, G.H. Agrawal

  Technical Paper | Journal (IJSRNSC)

  Vol.8 , Issue.1 , pp.21-24, Feb-2020

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  The transformer is an essential part of the transmission and appropriation framework. The point of creating, transformer security structure is to oversee in such a manner, that we are utilizing microcontroller and IoT to give programmed security and continuous observing to the transformer. There are numerous flaws happening on a transformer, for example, over-voltage, under-voltage, extraordinary temperature, and so on. The unit is structured so that it will be good with a wide range of dispersion and force transformer of any appraising. These pack presented sensor, microcontroller, IoT module. To shield the transformer from any cataclysmic disappointment. Also, the framework shows continuous information on the PC at the working station. This framework can use for identifying issues before they happen because of this we can forestall flaws that are expensive to fix and bring about lost assistance. We give an imaginative structure to build up a framework for checking the voltage, current, temperature, and oil parameters of a transformer in a substation or in the field. The proposed structure is produced for the client to effectively perceive the transformer on the off chance that it is endured by any issues and what are the current online parameters. This framework will assist the transformers with operating easily and distinguish issues before any disastrous disappointment.

  Key-Words / Index Term
  Transformer, Faults, Protection, Inrush Current, Relay, IOT module, Monitoring, controlling & protection, microcontroller

  References
  [1] W.A. Elmore “Protective Relaying Theory and Applications”. Marcel diker second edition 2003.
  [2] S.S. Rao, “Switchgear Protection and Power System”, Khanna Publishers, India.
  [3] Kasztenny, Kezunovic, “An Improved Transformer Inrush Restraint Algorithm”, Computer Applications in Power, IEEE, Volume: 11, Issue:4, Oct. 1998, pp:39 – 45.
  [4] P. Sarkar, S. Upreti, S. Singh, ”Study on methods of transformer protection”, Dronacharya college of engineering, Haryana, India, 2014 IJIRT
  [5] S. Dharanya, M. Priyanka, R. Rubini, A. Umamakeswari, “Real-Time Monitoring and Controlling Transformer” Journal Of Artificial Intelligence ISSN 1994-5450/DOI: 10.3923
  [6] N. Saroha, A. K. Suthar, M. Lalbiaknunga, Prof. S. B. Patil, “Transformer Protection And Parameters Monitoring” International Research Journal of Multidisciplinary Studies & SPPP`s, Karmayogi Engineering College, Pandharpur Organize National Conference Special Issue March 2016 Vol. 2, Special Issue 1, March 2016 ISSN (Online): 2454-8499 Impact Factor: 1.3599(GIF), 0.679(IIFS)
  [7] A. Guzman, S. Zocholl and H. Altuve “performance analysis of traditional and Improved transformer differential Protective relays”, SEL Paper, 2000.
  [8] A. Rana, J. Shah, A. Deshpande, “Simulation of Power Transformer Protection Using Microcontroller Relay” International Journal of Scientific Engineering and Technology ISSN: 2277-1581 Volume No.4 Issue No.6, pp:352-355
  [9] J. B. Gupta, S. K. Kataria “Theory & Performance of Electrical Machine” Publishers of engineering and computer books, New Delhi-110002 INDIA.
  

  Citation
  Sanket V. Pole, Satyajit S. Chopade, Payal A. Werulkar, G.H. Agrawal, "Smart Transformer Protection Unit," International Journal of Scientific Research in Network Security and Communication, Vol.8, Issue.1, pp.21-24, 2020

• Open Access   Article

  Underground Cable Fault Detection System by Using IoT

  Neha N. Badwaik, Achal J. Wakade, Sudha Shrikanth

  Technical Paper | Journal (IJSRNSC)

  Vol.8 , Issue.1 , pp.25-28, Feb-2020

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  The objective of this paper is to determine the location of the fault in underground cable lines from the source station to the exact location of the fault in kilometers. Whenever a fault occurs in the underground cable line for some reason, the repairing process relating to that faulted cable becomes difficult owing to the lack of a proper system for tracking the exact fault location and the type of fault that occurred in the cable. For this, a system has to be developed to find the exact location of the fault in the distribution system for all the three phases R, Y & B for a different type of situations of faults. Here in this paper single line to ground, double line to ground & three-phase faults have been considered. Therefore, the basic concept of Ohm’s law is found suitable in principle to develop a fault location tracking system. Based on the Ohm’s Law, it is found that the resistance of the cable is proportional to its length under constant conditions of temperature and the cross-section area and therefore if a low DC voltage is applied at the feeder end through a series of resistor in cable lines, the current would vary depending upon the location of a fault in the cable. Whenever the fault occurs in the underground cable it is difficult to detect the accurate location of the fault for the process of repairing that particular cable. The proposed system finds the exact location of the fault. The fault occurring distance, phase, and time are displayed on a 16X2 LCD interfaced with the microcontroller. IoT is used to display the information over the Internet using the Wi-Fi module ESP8266.

  Key-Words / Index Term
  Underground cable system, fault detection circuit, Ohm`s law, Atmega16 microcontroller, location method, IoT WiFi module

  References
  [1] Preethi Jaida, Shreeya Shrivastava, Sonal Shrivastava, Shiv Pratap Raghuvanshi. “Underground cable fault detection using Arduino”, International Journal of Electronics, Electronics and Computational system (May 2016), Volume-5, Issue-5.
  [2] Dushyant Chandra, Prabhat Singh, Pravesh Pratik Rajguru, Mr. Swapnil A.Namekar. “Detection of short circuit fault in the underground cable using microcontroller”, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control (2017, June)], ISO 3297:2001 certified, vol.5, Issue 6.
  [3] Sahana S, Harish Kumar BM, Anu S M, Vani H V, Sudha T, Prashanth Kumar H K. “Analysis of fault detection and its location using microcontroller for underground cables”, International Research Journal of Engineering and Technology (IRJET)].Hans, Ms.Snehal C. kor, Ms.A.S.Patil. “Identification of Underground cable fault locator and development”, International Conference on Data management, Analytics, and Innovation (2017).
  [5] Rati Ranjan global, Ajit Kumar Maharana, Lipun Kumar Patel, Rohit Behera. “Underground cable fault distance locator by using microcontroller”, International Journal of Informative and Futuristic Research(IJIFR), Vol 4, Issue 7, March-2017.
  [6] Nikhil Kumar Sain, Rajesh Kajla, Mr. Vikas Kumar. “Underground cable fault conveyed over GSM ”, IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)], Volume 11, Issue 2 ver. III(Mar-Apr. 2016) (pp.0610).
  [7] D. Prabhavathi, K.Prakasam, Dr.M.Suryakalavathi, B.Ravindranath Reddy.“Detection and Location of Faults in 11KV Underground Cable by using Continuous Wavelet Transform (CWT)”, IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), Volume 10, Issue 1 Ver. IV (Jan Feb. 2015), PP44-50.
  

  Citation
  Neha N. Badwaik, Achal J. Wakade, Sudha Shrikanth, "Underground Cable Fault Detection System by Using IoT," International Journal of Scientific Research in Network Security and Communication, Vol.8, Issue.1, pp.25-28, 2020