Volume 18 - Issue 2

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IJERD : Volume 18 - Issue 2

(Mar-Apr - 2022)


Saad Rashed Al-Otaibi, Erna Husukić, Mirza Ponjavić

Reimagining the Role of Technology in Architectural Education
  • Abstract
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  • Full Article
Technology is certainly a ubiquitous tool in most, if not all, fields of education. It has undeniably changed our world dramatically, considering the ceaseless innovative developments in various fields of industry. Without technology, a lot of things that people are enjoying in the present would be tedious, most particularly in the areas of communication, transportation, construction, and education where technology is indeed of high significance. This study was aimed at determining the role of technology in architectural education using a qualitative research design, specifically interpretative phenomenological analysis (IPA). The respondents were chosen using a purposeful sampling method.........
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[1]. Aslanian, C., Clinefelter, D., & Magda, A. (2019). Online College Students 2019: A Comprehensive Data on Demands and Preferences. Retrieved from https://49hk843qjpwu3gfmw73ngy1k-wpengine.netdna-ssl.com/wp-content/ uploads/2019/06/OCS-2019-FINAL-WEB-Report.pdf.
[2]. Azizinezhad, M. & Amini, A. (2011). The role of instrument technology in teaching architecture. Procedia – Social and Behavioral Sciences, 28 (877-811). Retrieved from https://pdf.sciencedirectassets.com.
[3]. Besic, A., Karabegovic and Ponjavic, M. (2019). "Workstation Cellular Framework for Computer Aided Design Interactive Online Courses," 27th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, 2019.
[4]. Ching, F. (2007). Architecture: Form, Space, and Order (3rd ed.). John Wiley & Sons.

[5]. Creswell, J. & Poth, C. (2017) Qualitative Inquiry and Research Design. London: Sage Publication.

Citation
Saad Rashed Al-Otaibi, Erna Husukić, Mirza Ponjavić "Reimagining the Role of Technology in Architectural Education" International Journal of Engineering Research and Development, Volume 18, Issue 02 (Mar-Apr 2022)
MID 1802.067X.0001.
Page 01-06      Download Certificate
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Dr.Vijay B T, Prashanth T N

An Efficient Neighbor Discovery Scheme for Mobile using Wireless Sensor Networks
  • Abstract
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  • Full Article
Wireless Sensor network is used nowadays almost everywhere. A sensor node, in a sensor network that is capable of performing some processing, gathering sensory information and communicating with other connected nodes in the network. A Sensor is a device that responds and detects some type of input from both the physical or environmental conditions, such as pressure, heat, light, etc. The output of the sensor is generally an electrical signal that is transmitted to a controller for further processing. Wireless Sensor Network (WSN) is a self-organizing network which formed with huge sensors which are located in an application specific environment to monitor the physical pheromone like temperature, fire, and pressure. Mostly sensors are equipped with battery power through which they can perform sufficient operations.........
Sensor node, Wireless Sensor Network, Controller, Particle Swarm Optimization, clustering, power consumption.

[1]. J. R. Vacca, Computer and information security handbook. Newnes. 2012.
[2]. C. Karlof and D. Wagner, " Secure routing in wireless sensor networks: Attacks and countermeasures,". Ad hoc networks, 1(2-3), pp. 293-315, 2003
[3]. D. Martins and H. Guyennet, "Wireless sensor network attacks and security mechanisms: A short survey". in Network-Based Information Systems (NBiS), 2010 13th International Conference, IEEE, 2010. pp. 313-320.
[4]. E. C. H. Ngai, J. Liu and M. R. Lyu, "On the Intruder Detection for Sinkhole Attack in Wireless Sensor Networks," 2006 IEEE International Conference on Communications, Istanbul, pp. 3383- 3389. 2006.
[5]. L. J. Villalba, A. L. Orozco, A. T. Cabrera, and C. J. Abbas, "Routing protocols in wireless sensor networks," Sensors (Basel), vol. 9, no. 11, pp. 8399–8421, 2009 .

Citation
Dr.Vijay B T, Prashanth T N "An Efficient Neighbor Discovery Scheme for Mobile using Wireless Sensor Networks" International Journal of Engineering Research and Development, Volume 18, Issue 02 (Mar-Apr 2022)
MID 1802.067X.0002. India
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Nidhi Sharma, Dr Gaurav Kumar

Lie Symmetry Method to Solve Linear Ordinary Differential Equation of First Order
  • Abstract
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  • Full Article
Basis of Lie symmetry method is finding of similarity of ordinary differential equations. These symmetries of the equations are then used to find general solutions of the equations. The present paper discusses Lie Similarity Method for first order ODE (ordinary differential equation) admitting Lie group symmetry. First order linear ODE has been solved using Lie Symmetry Method. In this work, examples of first order linear ODEs are considered to explain the method.
Lie Symmetry Method, Similarity Solutions, Linear ODE, Lie Invariance.

[1]. Bluman G. (1990): 'Invariant solutions for ordinary differential equations', SIAM J. Appl. Math., Vol. 50, No. 6, 1706-1715.
[2]. Carinena J.F., Falceto F. and Grabowski J. (2018): 'Solvability of a Lie Algebra of Vector Fields implies their Integrability by Quadratures', arXiv:1606.02472v2
[3]. Dorodnitsyn V.A., R. Kozlov, Meleshko S.V. and P. Winternitz (2018): 'Lie group classification of first-order delay ordinary differential equations', J. Phys. A: Math. Theor. 51 (20) 205202.
[4]. Hu Y. and Du X. (2019): 'The First Integrals of a Second Order Ordinary Differential Equation and Application', Asian Journal of Research in Computer Science, 3(3): 1-15.
[5]. Lie S. (1883): 'Klassifikation und Integration von gewonlichen Differential gleichungenzwischen x, y, die eine Gruppe von Transformationen gestaten', Arch. Math VIII, IX, 187.

Citation
Nidhi Sharma, Dr Gaurav Kumar "Lie Symmetry Method to Solve Linear Ordinary Differential Equation of First Order" International Journal of Engineering Research and Development, Volume 18, Issue 02 (Mar-Apr 2022)
MID 1802.067X.0003. India
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Javier Holguín-De La Cruz

911 Safety Emergency Response System Call Center Staffing Characterization using Stochastic Simulation
  • Abstract
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  • Full Article
Based on ENVIPE 2021 national poll, public insecurity perception in México represents the number one topic of concern according to 68.2 and 58.9% of people 18 years old and older for the years 2020 and 2021 respectively. These are clearly alarming statistics and represent a challenge for public administration. Although public safety Emergency Response Systems (ERS) represent a corrective and contention resource, they are certainly one of the institutions that people rely on to guarantee a peaceful environment to conduct their lives with freedom and trust. Response time is recognized in the literature as the key performance parameter in an ERS since people´s lives and integrity depend on immediate assistance.......
Emergency Response System, Response Time, Ringdown Time, Police Call Center, Staffing Allocation, Public Insecurity

[1]. Bieger, A., Borges, G., Kranz, S., Mcgowan, C., Meehan, K., Mancuso, L.G. and Guerlain, S. 2009. Increasing the Efficiency of a Brazilian Emergency Response Call Center. Proceedings of the 2009 IEEE Systems and Information Engineering Design Symposium, University of Virginia, Charlottesville, VA, USA, April 24, 2009.
[2]. Brooks, J.P., Edwards, D.J., Sorrel, T.P., Srinivasan, S. and Diehl, R.L. 2011. Simulating Calls for Service for a Urban Police Department. Proceedings of the 2011 Winter Simulation Conference, Phoenix, AZ, USA, December 11, 2011.
[3]. Buist, E., Chan, W. and L'Ecuyer, P. 2008. Speeding up Call Center Simulation and Optimization by Markov Chain Uniformization. Proceedings of the 2008 Winter Simulation Conference, Miami, FL, USA, December 8, 2008.
[4]. Chanpanit, T. and Udomsakdigool, A. 2020. Big Data Framework for Incoming Calls Forecasting in a Call Center. Proceedings of the 2nd International Conference on Electrical, Communication and Computer Engineering (ICECCE), Istanbul, Turkey, June 12, 2020.
[5]. Conley, Q. and Grabau, M. 2013. Simulating Modified Hybrid Approach to Resource Assignment in a Shared Billing and Claims Call Center. Proceedings of the 2013 Winter Simulation Conference, Washington, D.C., USA, December 8, 2013.

Citation
Javier Holguín-De La Cruz "911 Safety Emergency Response System Call Center Staffing Characterization using Stochastic Simulation" International Journal of Engineering Research and Development, Volume 18, Issue 02 (Mar-Apr 2022)
MID 1802.067X.0004. MEXICO
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