Journal Vol – 15 No -6, June 2020

GO-COVID: AN INTERACTIVE CROSS-PLATFORM BASED DASHBOARD FOR REAL-TIME TRACKING OF COVID-19 USING DATA ANALYTICS

Authors:

Sagnick Biswas, Labhvam Kumar Sharma, Ravi Ranjan, Jyoti Sekhar Banerjee

DOI NO:

https://doi.org/10.26782/jmcms.2020.06.00001

Abstract:

Currently, COVID-19 is the biggest obstacle for the survival of the human race. Again, as mobile technology is now an essential component of human life, hence it is possible to utilize the power of mobile technology against the treat of COVID-19. Every nation is now trying to deploy an interactive platform for creating public awareness and share the necessary information related to COVID-19. Keeping all of these in mind, authors have deployed an interactive cross-platform (web/mobile) application GO-COVID for the ease of the users, specifically in India. This dashboard is featured with all the real-time attributes regarding the novel coronavirus disease and its measures and controls. The system deliberately aims to maintain the digital well-being of the society, create public awareness, and not create any panic situation among the individuals of the society. The application uses modern AI-ML tools to analyze the disease among the individuals with the help of an informative test and has also deployed a chat-bot for user ease of interaction. The application also collects the geo-location and other necessary historical data to ensure your safety and distancing from the affected personals. The same is also used to backtrack the ones affected and perform tests. All of these features enable the app to compete with the pandemic in this modern world.

Keywords:

COVID-19,pneumonia,mobile application,Artificial Intelligence-Machine Learning (AI-ML) tool,chat-bot,geo-location,

Refference:

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II. A. Chakraborty, J.S. Banerjee, A. Chattopadhyay, Malicious node restricted quantized data fusion scheme for trustworthy spectrum sensing in cognitive radio networks. Journal of Mechanics of Continua and Mathematical Sciences,15(1), 39–56, 2020

III. A.Chakraborty, and J.S.Banerjee, “An Advance Q Learning (AQL) Approach for Path Planning and Obstacle Avoidance of a Mobile Robot”. International Journal of Intelligent Mechatronics and Robotics, 3(1), pp 53-73 2013

IV. A.Chakraborty, J. S. Banerjee, and A.Chattopadhyay, “Non-Uniform Quantized Data Fusion Rule Alleviating Control Channel Overhead for Cooperative Spectrum Sensing in Cognitive Radio Networks”. In: Proc. IACC, pp 210-215 2017

V. A.Chakraborty, J. S. Banerjee, and A.Chattopadhyay, “Non-uniform quantized data fusion rule for data rate saving and reducing control channel overhead for cooperative spectrum sensing in cognitive radio networks”,Wireless Personal Communications,Springer, 104(2), 837-851, 2019

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XIX. J. S. Banerjee,A.Chakraborty, and A.Chattopadhyay,“Relay node selection using analytical hierarchy process (AHP) for secondary transmission in multi-user cooperative cognitive radio systems”, in Proc. ETAEERE 2016, LNEE-Springer, Dec. 2016

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XXII. J. S. Banerjee, and A. Chakraborty, “Fundamentals of Software Defined Radio and Cooperative Spectrum Sensing: A Step Ahead of Cognitive Radio Networks”. In Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management, IGI Global, pp 499-543 2015

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XXXIV. O. Saha; A. Chakraborty, and J. S. Banerjee, “A Fuzzy AHP Approach to IT-Based Stream Selection for Admission in Technical Institutions in India”, In: Proc. IEMIS, AISC-Springer, pp. 847-858, 2019

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EFFECT OF ELECTROMAGNETIC FIELD ON THE NATURAL CIRCULATION IN SOLAR ABSORBER TUBE: REVIEW PAPER

Authors:

Dheyaa A. Khalaf, Karima E. Amori, Firas M.Tuaimah

DOI NO:

https://doi.org/10.26782/jmcms.2020.06.00002

Abstract:

In this paper, collection of research related to the effect of using nanofluids of various kinds on improving heat transfer and increasing the efficiency of solar collectors was reviewed on the other hand studies will be presented regarding the effect of electromagnetic field on improving heat transfer and its effect on solar collectors. In this paper, we have examined the electromagnetic effect of thermo-hydrodynamics behavior of nanofluid. The results of the previous research that was reviewed clearly showed that the use of nanofluids has a clear effect on improving the thermal efficiency of solar collectors and improving heat transfer in high proportions, as well as between studies that adding the effect of electromagnetic overflow on solar collector systems has had a positive effect in improving heat transfer and improving properties Physical fluid

Keywords:

Solar collector,magnetic nanofluid,Ferrofluid,Parabolic solar trough collector,Solar energy,electromagnetic field,Nanofluid,

Refference:

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IV. Amir H., Hossein A. D. A.,KouroshA.,“Investigating the MHD current in presence of nanofluid inside a triangle duct in presence of electromagnetic field in form of Eulerian two phases”, Journal of Materials and Environmental Sciences.; 9, 2703-2713, (2018).
V. Ashorynejad H. R., Mohamad A. A., Sheikholeslami M., “Magnetic field effects on natural convection flow of a nanofluid in a horizontal cylindrical annulus using lattice Boltzmann method”, International Journal Thermall Science.;64, 240-250, (2013).
VI. Azizian R., Doroodchi E., McKrell T., Buongiorno J., Hu LW., Moghtaderi B., “Effect of magnetic field on laminar convective heat transfer of magnetite nanofluids”, International Journal Heat Mass Transf.; 68,94-109, (2014).
VII. Battira M., Rachid B., “Radial and Axial Magnetic Fields Effects on Natural Convection in a Nanofluid-filled Vertical Cylinder”, Journal of Applied Fluid Mechanics.; 9, 407-418, (2016).
VIII. Bradic J., Fan J., Wang W., “Penalized composite quasi-likelihood for ultrahigh-dimensional variable selection”, Journal of Royal Statistics Society.; 73, 325-349, (2011)

IX. Ellahi R., Bhatti M., Khalique C. M., “Three-dimensional flow analysis of Carreau fluid model induced by peristaltic wave in the presence of magnetic field”, Journal Mol. Liquid.; 241,1059-1068,(2017).
X. Faizal M., Saidur R., Mekhilef S., “Potential of size reduction of flat-plate solar collectors when applying MWCNT nanofluid”, 4th International Conference on Energy and Environment (ICEE), Conf.Series: Earth and Environmental Science.; 16, 012004, (2013).
XI. Gan J. G., Stanley C., Nguyen N-T., Rosengarten G., “Ferrofluids for heat transfer enhancement under an external magnetic field”, International Journal of Heat and Mass Transfer.; 123, 110-121, (2018).
XII. Ghadiri M., Sardarabadi M., Pasandideh M., Moghadam A. J., “Experimental investgation of a PVT system performance using nanoferrofluid”, Energy Conversion and Management.; 103,468-476, (2015).
XIII. Ghofrani A., Dibaei MH., Hakim S. A., Shafii MB., “Experimental investigation on laminar forced convection heat transfer of ferrofluids under an alternating magnetic field”,Expermaintal Thermal Fluid Science.; 49,193-200, (2013).
XIV. Hariri S., Mokhtari M., Gerdroodbary M. B., Fallah K., “Numerical investigation of the heat transfer of a ferrofluid inside a tube in the presence of a non-uniform magnetic field”, Eur. Phys. Journal Plus.;132,1-14, (2017).
XV. Hatami N., Banari A. K., Malekzadeh A., Pouranfard A. R., “The effect of magnetic field on nanofluids heat transfer through a uniformly heated horizontal tube”, Phys. Lett. Sect. A Gen. At. Solid State Phys.: 381, 510-515, (2017).
XVI. He Y., Wang S., Ma J., Tian F., Ren Y., “Experimental study on the light-heat conversion characteristics of nanofluids”,Nanosci. Nanotechnol Letters;. 3, 494-496, (2011).
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XIX. Ho C., Tsing-Tshih T., Chii-Ruey L., Hong-Ming L., Chung-Kwei L., Chih-Hung L., Hung-Ting S., “A Study of Magnetic Field Effect on Nanofluid Stability of CuO”, Materials Transactions.; 45, 1375-1378, (2004).
XX. Hussein A. K., Ashorynejad H. R., Sheikholeslami M., Sivasankaran S., “Lattice Boltzmann simulation of natural convection heat transfer in an open enclosure filled with Cu–water nanofluid in a presence of magnetic field”,Nucl. Eng. Des.;268,10-17, (2014).
XXI. Irwan N., Iskandar I. Y., Mohd R. J., “Enhancement of thermal conductivity and kinematic viscosity in magnetically controllable maghemite (c-Fe2O3) nanofluids”, Experimental Thermal and Fluid Science.; 77,265-271, (2016).

XXII. Kefayati G. R., Tang H., “Simulation of natural convection and entropy generation of MHD non-Newtonian nanofluid in a cavity using Buongiorno’s mathematical model”, International Jornal Hydrogen Energ.; 42,17284-17327, (2017).
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XXIV. Khosravi A., Malekan M., “Effect of magnetic field on heat transfer coefficient of Fe3O4-water ferrofluid using artificial intelligence and CFD simulation”, Eur. Phys. J. Plus; (in preparation), (2018).
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XXXV. Mohsen S., Mohammad M. R., “Effect of space dependent magnetic field on free convection of Fe3O4–water nanofluid”, Journal of the Taiwan Institute of Chemical Engineers.;56, 6-15,(2015).
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XXXVIII. Omid M., Ali K., Soteris, Kalogirou A., Loan P., Somchai W., “A review of the applications of nanofluids in solar energy”, International Journal of Heat Mass Transfer.; 57, 582-594, (2013).

XXXIX. Sardarabadi M., Passandideh-Fard M., Zeinali HS., “Experimental investigation of the effects of silica/water nanofluid on PV/T (photovoltaic thermal units)”, Energy Journal.; 66,264-72, (2014).
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XLIII. Sheikholeslami M., Gerdroodbary M. B., Mousavi S. V., Ganji D. D., Moradi R., “Heat transfer enhancement of ferrofluid inside an 90° elbow channel by non-uniform magnetic field”, Journal Magn. Magn. Mater.; 460, 302-311, (2018).
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TOPOLOGICAL AND SPECTRAL ASPECTS OF MONOMIAL IDEALS OFSEMIRINGS

Authors:

Liaqat Ali, Yaqoub Ahmed Khan, Muhammad Aslam

DOI NO:

https://doi.org/10.26782/jmcms.2020.06.00003

Abstract:

In this article, we introduce the monomial ideals of semirings and study some of its properties. Main objective of this articleis to investigate prime spectrum of monomial ideals of semirings and discuss its topology.

Keywords:

Monomial Ideals,Prime Spectrum,Topological Semirings,Zariski Topology,

Refference:

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HOW THAI INDUSTRY GIVES SIGNIFICANCE TO SUPPLY CHAIN PERFORMANCE

Authors:

Anurak Sawangwong, Jutamat Jintana, Poti Chaopaisarn, Sakgasem Ramingwong

DOI NO:

https://doi.org/10.26782/jmcms.2020.06.00004

Abstract:

The paper aims at exploring how Thai industry gives significance to supply chain performance based on supply chain strategic, tactical, and operational levels.  Together, there are 40 indicators of interest.  The questionnaire is designed and distributed to ask Thai manufacturing companies to assess the significance level of these supply chain performance indicators.  The paper explores the result based on 223 companies in Thailand who responded to the survey.  The investigations divided into two sections; (1) the identification of the most and the least significant supply chain performance of the Thai industry, and (2) the identification of the most and the least significant supply chain performance of 5 key industries in Thailand.  The discussion is then made to reflect the different concerns on each industry type.

Keywords:

Supply chain,Supply Chain Performance,Thai industry,

Refference:

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XXXIX. World Bank, Doing business 2019: Training for reform. Washington DC, 2019.

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NUMERICAL ANALYSIS OF PILE FOUNDATION SUBJECTED TO DYNAMIC LOADS

Authors:

Bushra S. Albusoda, Saba I. Jawad, Samir H. Hussein, Mohammed S. Mohammed

DOI NO:

https://doi.org/10.26782/jmcms.2020.06.00005

Abstract:

The response of single pile foundations subjected to different earthquake excitations is considered in this paper. The behavior of such foundation is important specifically in case of earthquake loading through the supporting soil medium. An axisymmetric finite element model has been implemented to simulate the behavior of pile in soil deposit using Abaqus software. Eight node axisymmetric quadrilateral elements CAX8R used to simulate the soil continuum. Contact behavior between the single pile part and the part of soil was simulated using the ‘surface to surface’ contact method with master-slave concept. Furthermore, the pile behavior material has been simulated with a linear elastic model while soil material has been simulated with an elasto-plastic model “Mohr-Coulomb failure criterion”. Three different excitation records have been adopted in the analysis: El-Centro, Halabja and Ali-Algharbi earthquake records in order to investigate the effect of various dynamic loading. The results of the analysis demonstrate alteration in the response along the pile with different soil layer with each earthquake excitation.

Keywords:

Dynamic Analysis,Single Pile,Erthquake,Abaqus Software,

Refference:

I. ABAQUS Lectures, “Analysis of Geotechnical Problems with ABAQUS”. ABAQUS, Inc., U.S.A, (2003).
II. ABAQUS/CAE User’s Manual, “Dassault Systemes Simulia Corp”. Providence, RI, USA, (2012).
III. Albusoda, B.S.; Salem, L.A.K., “The Effect Of Interaction On Pile-Raft System Settlement Subjected To Earthquake Excitation”. APPLIED RESEARCH JOURNAL, vol. 2, no. 4, pp. , (2016).
IV. Albusoda, B.S.; Salem, L.A.K., “Effect Of Pile Spacing On The Behavior Of Piled Raft Foundation Under Free Vibration And Earthquake”. Australian Journal of Basic and Applied Sciences, vol. 10, no. 12, (2016).
V. Al-Taie, A.J. and Albusoda, B.S.” Earthquake hazard on Iraqi soil: Halabjah earthquake as a case study”. Geodesy and Geodynamics, vol. 10, no.3, pp.196-204, (2019).
VI. Chenaf, N.; &Chazelas, J. L., “The Kinematic and Inertial Soil-Pile Interactions: Centrifuge Modelling”. (2008).
VII. Fattah, M.Y.; Zbar, B.S.; Mustafa, F.S. “Effect of Saturation on Response of a Single Pile Embedded in Saturated Sandy Soil to Vertical Vibration”. European Journal of Environmental and Civil Engineering, vol. 21, no. 7, pp.1-20, (2017).
VIII. Hibbit, H.D.; Karlsson, B.L, Sorrensen “ABAQUS Theory Mannul and all Manuals, Guide”. Online support, (2007).
IX. Katzenbach, R.; Schmitt, A.; Turek J. “Assessing Settlement of High-rise Structures by 3D Simulations”. Computer Aided Civil and Infrastucute Engineering, (2005).
X. Maharaja, D.K., “Load Settlement Behavior of Piled Raft Foundation by Three Dimensional Nonlinear Finite Element Analysis”. Electronic Journal of Geotechnical Engineering, (2003).
XI. Miyamoto, Y.; Fukuoka, A.; Adachi, N. and Koyamada K., “Pile response induced by internal and kinematic interaction in liquefied soil deposit (Centrifuge model test for pile foundation in saturated sand layers and its analytical study”. J. Struct. Constr. Eng., AIJ, No.494, pp.51-58, (1997).
XII. Miyamoto, Y.; Sako, Y.; Kitamura E. and Miura K., “Earthquake response of pile foundation in nonlinear liquefiable soil deposit”. J. Struct. Constr. Eng., AIJ, No.471, pp.41-50, (1995).
XIII. Miyamoto, Y.; Sako, Y.; Miura, K.; Scott, R. F. and Hushmand B., “Dynamic behavior of pile group in liquefied sand deposits”. Proc. of 10WCEE, 3, pp.1749-1754, (1992).
XIV. Thavaraj, T. Liam Finn, W.D. and Wu, G. “Seismic Response Analysis Of Pile Foundation”.  Geotechnical and Geological Engineering, vol. 28, no. 3, pp:275-286, (2010).
XV. Wriggers, P. “Finite Element Algorithms for Contact Problems”. Archives of Computational Methods in Engineering, Vol. 2, 4, 1-49, 2015.

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EXPERIMENTAL ANALYSIS OFMULTI TURN CLOSED LOOP PULSATING HEAT PIPE–IMPACTOFFILL RATIO

Authors:

N. Santhi Sree, N. V. V. S.Sudheer, P. Bhramara

DOI NO:

https://doi.org/10.26782/jmcms.2020.06.00006

Abstract:

The heat transfer devices involving phenomena of two phase heat transfer are proven to be the best solution for handling moderate to high heat fluxes in different applications. In this regard, an emerging and new technique is “Pulsating heat pipe cooling”, when it comes to the field of electronics thermal management. CLPHP development meets the current requirements for elimination of moving parts in a cooling system. As the demand for effective and small heat transfer devices is increasing, the present paper describes an experimental analysis of a closed loop pulsating heat pipe. Vertical bottom heat mode is considered as the position of CLPHP for the experimental work. PHP consists of a copper tube of length 262 mm, with capillary dimensions of 2 mm and 3.1 mm having internal and external diameter respectively. The tube is bent in a serpentine manner with 8 number of turns and is connected end to end. Before filling the working fluid in the tube, it is first evacuated partially. Based on the total volume, 50%, 60%, and 75 % filling ratios are considered for analysis. Different pure working fluids, viz., Ethanol, Methanol, Acetone and their mixtures, viz., Ethanol-Methanol, Ethanol-Acetone, and Methanol-Acetone are considered for experimentation. The experiments are conducted for different heat inputs varying from 20 to 100 W. The maximum heat input is dependent on the boiling point of the particular fluid. CLPHP is affected by various parameters like heat input, filling ratio, working fluid etc. Acetone shows least thermal resistance value among pure fluids whereas Ethanol-Acetone shows least thermal resistance and better heat transfer performance among mixtures. For low heat input conditions ethanol shows better performance.

Keywords:

Binary mixtures,closed loop pulsating heat pipe,fill ratio,heat input,thermal resistance,working fluids,

Refference:

I. Akachi, H. Structure of a heat pipe. US Patent No. 5219020. (1993).
II. Barua H, Ali M, Nuruzzaman M, Islam MQ, Feroz CM, 2013. Effect of filling ratio on heat transfer characteristics and performance of a closed loop pulsating heat pipe. Procedia Eng. 56:88–95.doi: 10.1016/j.proeng.2013.03.093
III. Khandekar, S. and Groll, M., 2003.”On the definition of pulsating heat pipes: An overview”,in Proceedings of the Fifth Minsk International Seminar (Heat Pipes, Heat Pumps and Refrigerators), Minsk, Belarus.
IV. Khandek;ar, S.,2004. “Thermo-hydrodynamics of closed loop pulsating heat pipes”, Ph.D., Dissertation, University of Stuttgart, Germany.
V. N. SanthiSree, NVVS Sudheer, P. Bhramara, 2019. “Experimental Analysis of Closed Loop Pulsating Heat Pipe with Different Working Fluids at Different Inclinations(2019),Journal of Jour of Adv Research in Dynamical & Control Systems, Vol. 11, No. 8.
VI. Panigrahi, P, Khandekar, S , 2010.Local hydrodynamics of flow in a pulsating heat pipe: Proceedings Frontiers in Heat Pipes (FHP), DOI: 10.5098/fhp.v1.2.3003
VII. Pramod R. Pachghare. 2016 Experimental analysis of pulsating heat pipe for air Conditioning system, International Journal of Mechanical and Production Engineering, ISSN: 2320-2092, Volume- 4, Issue-6, Jun.
VIII. Sridhara, S., Narasimha, K.R., Rajagopal, M. and Seetharamu,K.,2012 “Influence of heat input, working fluid and evacuation level on the performance of pulsating heat pipe”, Journal of Applied Fluid Mechanics, Vol. 5, No. 2, 33-42.
IX. Vipul M. Patel, H. B. Mehta 2016,“Influence of Gravity onthe Performance of Closed Loop Pulsating Heat Pipe “.Zurich Switzerland Jan 12-13, 18 (1) Part V.
X. X.M. Zhang, J.L. Xu, Z.Q. Zhou, 2004. Experimental study of a pulsating heat pipe using FC-72, ethanol, and water as working fluids, Exp. Heat Transfer 17 47–67.
XI. Yang H, Khandekar S, Groll M, 2008. Operational limit of closed loop pulsating heat pipes. Applied Thermal Eng. 28(1):49–59.doi:10.1016/j.applthermaleng.2007.01.033
XII. Yang, H.; Khandekar, S.; and Groll, M. (2009). Performance characteristics of pulsating heat pipes as integral thermal spreaders. International Journal of Thermal Science, 48 (4), 815–824.
XIII. Zhang, J.L. Xu, Z.Q. Zhou, 2004. Experimental study of a pulsating heat pipe using FC-72, ethanol, and water as working fluids, Exp. Heat Transfer 17 47–67.
XIV. Zhang, Y. and Faghri, A., 2008 “Advances and unsolved issues in pulsating heat pipes”, Heat Transfer Engineering, Vol. 29, No.1, , 20-44

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SELF SERVICE AUTOMATED PETROL PUMP USING FINGERPRINT BASED RFID TECHNOLOGY

Authors:

P. Anjali, G. Navya jyothi, Yalabaka Srikanth

DOI NO:

https://doi.org/10.26782/jmcms.2020.06.00007

Abstract:

Today, everything has been digitized, and the entire gasoline pump has a design that can display the task of controlling the pump, driving the display, quantifying the flow rate, and turning off the pump. To collect the cash, still someone is mandatory and there is a chance of many human errors. So, the main aim is to propose a system is to avoid human errors. My proposed system is petrol pump automation, which can deduct gasoline from the user card based on RFID technology without human intervention. Today, fluid supply systems are common in different places in our daily lives. Here, we will introduce the modern gasoline distribution system. To place petrol stations in remote areas is extremely precious to supply outstanding capacity to the clients. All these troubles can be solved by using this gasoline pump automation technology, which requires shorter operating time, higher efficiency and can be installed anywhere. This self-service gasoline pump device also provides customers with the protection of fueling at the gas station without any involvement of the service provider, so the risk of carrying money every time is minimized.

Keywords:

RFID,DC motor,LCD,Relay,

Refference:

I. Aishwarya Jadhav, Lajari Patil , Leena Patil , A. D. Sonawane, April 2017,“Smart Automatic Petrol Pump System“, International Journal of Science Technology and Management, vol. 6, no. 4.

II. Arabelli, R.R. &Revuri, K. 2019, “Fingerprint and Raspberri Pi based vehicle authentication and secured tracking system”, International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 5, pp. 1051-1054.

III. Kulkarni Amruta M. & Taware Sachin S., “Embedded Security System Using RFID & GSM Module”, International Journal of Computer Technology & Electronic Engineering, Volume 2 (Issue 1), Page No. 164-168.

IV. Kumar, M.A. 2019, “Security and controlling system at home by using GSM technology”, International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 9, pp. 2470-2474.

V. Nitha. C. Velayudhan, Raseena. K. R, Rashida. M. H, Risvana. M. P, Sreemol.C.V, March 2019, “Automatic Fuel Filling System”, International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), Vol. 8, Issue 3.

VI. Subba Rao, A. & Vidya Garige, S. 2019, “IoT based smart energy meter billing monitoring and controlling the loads”, International Journal of Innovative Technology and Exploring Engineering, vol. 8, no. 4S2, pp. 340-344.

VII. Vasantha, K. & Ravichander, J. 2019, “Image quality assessment for fake biometric detection: Application to iris, fingerprint, and face recognition”, International Journal of Recent Technology and Engineering, vol. 8, no. 1 Special Issue4, pp. 63-67.

VIII. Vinay Kumar, P. & Saritha, B., 2019, “Wireless arm based automatic meter reading & control system”, International Journal of Recent Technology and Engineering, vol. 7, no. 5, pp. 292-294.

IX. Wavekar Asrar A, Patel Tosif N, Pathansaddam I, Pawar H P,2016,”RFID based Automated Petrol Pump”, International Journal for Scientific Research and Development, Vol. 4, Issue 01.

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A PARALLEL AVERAGED NEURAL NETWORK APPROACH FOR DETECTING SMARTPHONE PHISHES

Authors:

E Sudarshan, Seena Naik Korra, P. Pavan Kumar, S Venkatesulu

DOI NO:

https://doi.org/10.26782/jmcms.2020.06.00008

Abstract:

Smartphone with the Internet is the most common item today and it provides the best online platform for businesses to trade their goods. Customers are more comfortable with online shopping and banking transactions, which are enough for hackers to cheat. Phishing attacks are now very common for smart phones. These attacks come in a variety of ways to steal customer sensitive information and payment information through fake Short Message Service(SMS) or E-Mail or Uniform Resource Locator (URL) links or applications(APPs). Therefore, the end user needs to know a few precautions to avoid phishing attackers. This paper explicitly discusses phishing attacks by their behavior and proposes a parallel defending approach to classifying messages as harm or spams using the Graphics Processing Unit (GPU) platform, which is achieved in logarithmic time of O(n log n) and also discusses the future scope.

Keywords:

Smartphone,Phishing,Mobile Security,GPU,Parallel avNNet,Smishing,

Refference:

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III. Amrutkar C, Kim YS, Traynor P. Detecting mobile malicious webpages in real time. IEEE Trans Mobile Comput 2017;16(8):2184–97.

IV. APWG, APWG. “Phishing Activity Trends Report: 4th Quarter 2019.” Anti-Phishing Working Group. Retrieved December 12 (2019): 2019.

V. Arachchilage, Nalin, Steve Love, and Michael Scott. “Designing a mobile game to teach conceptual knowledge of avoiding’phishing attacks’.” International Journal for e-Learning Security 2, no. 1 (2012): 127-132.

VI. Arachchilage, NalinAsankaGamagedara, and Melissa Cole. “Design a mobile game for home computer users to prevent from “phishing attacks”.” In International Conference on Information Society (i-Society 2011), pp. 485-489. IEEE, 2011.

VII. Arachchilage, NalinAsankaGamagedara, and Mumtaz Abdul Harmeed. “Integrating self-efficacy into a gamified approach to thwart phishing attacks.” arXiv preprint arXiv: 1706.07748 (2017).

VIII. Arachchilage, NalinAsankaGamagedara, and Steve Love. “A game design framework for avoiding phishing attacks.” Computers in Human Behavior 29, no. 3 (2013): 706-714.

IX. Basnet, Ram B., and TenzinDoleck. “Towards developing a tool to detect phishing URLs: a machine learning approach.” In 2015 IEEE International Conference on Computational Intelligence & Communication Technology, pp. 220-223. IEEE, 2015.

X. Besch, Matthias, and Hans Werner Pohl. “Flexible data parallel training of neural networks using MIMD-computers.” In Proceedings Euromicro

XI. CAPEC. CAPEC-164: mobile phishing; 2017. Available from https:// capec.mitre.org/data/definitions/164.html. [Accessed June 2017].

XII. Chan, P.P., Yang, C., Yeung, D.S. and Ng, W.W., “Spam filtering for short messages in adversarial environment”, Neurocomputing, Vol. 155, (2015), 167-176.

XIII. Choudhary, N. and Jain, A.K., “Towards filtering of spam messages using machine learning based technique”, in International Conference on Advanced Informatics for Computing Research, Springer. (2017), 18-30.

XIV. Cirecsan, D.; Meier, U.; Gambardella, L.M.; Schmidhuber, J. Deep big simple neural nets excel on hand-written digit recognition. arXiv: 1003.0358 v1 2010.

XV. Cormack, G.V., “Email spam filtering: A systematic review”, Foundations and Trends® in Information Retrieval, Vol. 1, No. 4, (2008), 335-455.

XVI. Cui, Qian, Guy-Vincent Jourdan, Gregor V. Bochmann, Russell Couturier, and Iosif-ViorelOnut. “Tracking phishing attacks over time.” In Proceedings of the 26th International Conference on World Wide Web, pp. 667-676. 2017.

XVII. D. Povey, A. Ghoshal, G.Boulianne, L. Burget, O.Glembek, N. Goel, M. Hannermann, P.Motl´ıˇcek, Y. Qian, P. Schwartz, J. Silovsk´y, G. Stemmer, and K. Vesel´y, “The kaldi speech recognition toolkit,” in ASRU. IEEE, 2011.

XVIII. Daniel Povey, Xiaohui Zhang, and SanjeevKhudanpur, “Parallel training of deep neural networks with natural gradient and parameter averaging,” arXiv preprint arXiv:1410.7455, 2014.

XIX. Dua, D. and Graff, C., Uci machine learning repository. 2017.

XX. El-Alfy, E.-S.M. and AlHasan, A.A., “Spam filtering framework for multimodal mobile communication based on dendritic cell algorithm”, Future Generation Computer Systems, Vol. 64, (2016), 98-107.

XXI. Fan, Chun-I., Han-Wei Hsiao, Chun-Han Chou, and Yi-Fan Tseng. “Malware detection systems based on API log data mining.” In 2015 IEEE 39th annual computer software and applications conference, vol. 3, pp. 255-260. IEEE, 2015.

XXII. Geoffrey E Hinton, Simon Osindero, and Yee-WhyeTeh, “A fast learning algorithm for deep belief nets,” Neural computation, vol. 18, no. 7, pp. 1527–1554, 2006.

XXIII. Gharvirian, F. and Bohloli, A., “Neural network based protection of software defined network controller against distributed denial of service attacks”, International Journal of Engineering, Transactions B: Applications, Vol. 30, No. 11, (2017), 1714-1722.
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XXV. Goel, Diksha, and Ankit Kumar Jain. “Mobile phishing attacks and defence mechanisms: State of art and open research challenges.” Computers & Security 73 (2018): 519-544.

XXVI. Gómez Hidalgo, J.M., Bringas, G.C., Sánz, E.P. and García, F.C., “Content based sms spam filtering”, in Proceedings of the 2006 ACM symposium on Document engineering., (2006), 107-114.

XXVII. Grace, Michael, Yajin Zhou, Qiang Zhang, ShihongZou, and Xuxian Jiang. “Riskranker: scalable and accurate zero-day android malware detection.” In Proceedings of the 10th international conference on Mobile systems, applications, and services, pp. 281-294. 2012.

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XXXI. Junaid, M.B. and Farooq, M., “Using evolutionary learning classifiers to do mobilespam (SMS) filtering”, in Proceedings of the 13th annual conference on Genetic and evolutionary computation, (2011), 1795-1802.

XXXII. KarelVesel`y, ArnabGhoshal, Luk´asBurget, and Daniel Povey, “Sequence-discriminative training of deep neural networks,” in INTERSPEECH, 2013, pp. 2345–2349.

XXXIII. Kim, S.-E., Jo, J.-T. and Choi, S.-H., “Sms spam filterinig using keyword frequency ratio”, International Journal of Security and Its Applications, Vol. 9, No. 1, (2015), 329-336.

XXXIV. Klöckner, A. PyCuda: Even simpler GPU programming with Python. GPU Technology Conf. Proceedings, Sep. 2010, 2010.

XXXV. Klöckner, Andreas, Nicolas Pinto, Yunsup Lee, Bryan Catanzaro, Paul Ivanov, Ahmed Fasih, A. D. Sarma, D. Nanongkai, G. Pandurangan, and P. Tetali. “PyCUDA: GPU run-time code generation for high-performance computing.” Arxiv preprint arXiv 911 (2009).

XXXVI. Owens, John D., David Luebke, Naga Govindaraju, Mark Harris, Jens Krüger, Aaron E. Lefohn, and Timothy J. Purcell. “A survey of general‐purpose computation on graphics hardware.” In Computer graphics forum, vol. 26, no. 1, pp. 80-113. Oxford, UK: Blackwell Publishing Ltd, 2007.

XXXVII. ParandehMotlagh, F. and KhatibiBardsiri, A., “Detecting fake websites using swarm intelligence mechanism in human learning”, International Journal of Engineering, Transactions A: Basics, Vol. 31, No. 10, (2018), 1642-1650.

XXXVIII. Rekouche, Koceilah. “Early phishing.” arXiv preprint arXiv: 1106.4692 (2011).

XXXIX. Serrano, J.M.B., Palancar, J.H. and Cumplido, R., “The evaluation of ordered features for sms spam filtering”, in Iberoamerican Congress on Pattern Recognition, Springer., (2014), 383-390.

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XLI. Sheikhi, S., M. T. Kheirabadi, and A. Bazzazi. “An Effective Model for SMS Spam Detection Using Content-based Features and Averaged Neural Network.” International Journal of Engineering 33, no. 2 (2020): 221-228.

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XLVII. TaufiqNuruzzaman, M., Lee, C., Abdullah, M.F.A.b. and Choi, D., “Simple sms spam filtering on independent mobile phone”, Security and Communication Networks, Vol. 5, No. 10, (2012), 1209-1220.

XLVIII. Tewari A, Jain AK, Gupta BB. Recent survey of various defense mechanisms against phishing attacks. J Info Privacy Sec 2016;12(1):3–13.

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PRIORITIZED INTERVENTION IN E-COMMERCE APPLICATIONS USING LOGICAL OCL SOFTWARE AGENTS (PIE)

Authors:

Shikha Singh, Manuj Darbari, Gaurav Kant Shankhdhar

DOI NO:

https://doi.org/10.26782/jmcms.2020.06.00009

Abstract:

The authors have devised a multi-agent system for management of enormous queries by the customers in an e-commerce website. The paper discusses the phenomenon of having a first visit registration of the customers, extracting the preferences as specified by the customers, accepting the queries for products and applying Affinity Propagation Algorithm in order to obtain the clusters. These clusters are the groups of customers who share common interests in buying products offered by the e-commerce website. So, now the system has segregated the similar types of queries into distinct groups. The queries are then prioritized according to the size of the clusters, that is, the biggest cluster containing maximum number of customers has greatest priority and so on. The queries belonging to same cluster (queries with same priority) are then passed through logical intervention using Object Constraint Language to maximize resource utilization and prevent double payment.   

Keywords:

OCL,Multi Agent System,e-commerce application,customer query based cluster,Affinity Propagation Algorithm,

Refference:

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ON DIVERSITY OF GENERALIZED REVERSE DERIVATIONS IN RINGS

Authors:

Yaqoub Ahmed, M. Aslam

DOI NO:

https://doi.org/10.26782/jmcms.2020.06.00010

Abstract:

In this article, we study the diversity in generalized reverse derivation by defining L*, R* and ( , )-*- Generalized reverse derivation in rings. We introduce some conditions which make these generalized reverse derivations and their associated *-reverse derivations to be commuting. Moreover, we discuss the conditions on these mappings that enforce the rings to be commutative

Keywords:

Reverse derivations,Prime rings,Semiprime rings,Involution,

Refference:

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