Archive

Abstract:

In the existing very competitive organization situation, there is a demand to evaluate the competitive attributes as well as aspects of a thing that most affect its competition. The evaluation of competition regularly uses the consumer opinions in terms of evaluations, rankings, as well as the mother lode of relevant information, 's coming from the web and also various other sources. Within this paper, a professional meaning of the very competitive mining is explains along with its similar jobs. Lastly, the paper provides the challenges and also usefulness in the competition mining activities with optimum renovations. We feature skillful strategies for examining strength insignificant poll datasets as well as take care of the symbolic problem of finding the greatest k opponents of a provided point. Once and for all, our team determine the nature of our outcomes and the convenience of our method using several datasets coming from different locations.

Keywords:

Mining competitors,structured dataset,unstructured dataset,

Refference:

I. Anusha Medavaka, “Enhanced Classification Framework on Social Networks” in “Journal of Advances in Science and Technology”, Vol. IX, Issue No. XIX, May-2015 [ISSN : 2230-9659]
II. Anusha Medavaka, “Monitoring and Controlling Local Area Network Using Android APP” in “International Journal of Research”, Vol. 7, Issue No. IV, April-2018 [ISSN : 2236-6124]
III. Anusha Medavaka, Dr. P. Niranjan, P. Shireesha, “USER SPECIFIC SEARCH HISTORIES AND ORGANIZING PROBLEMS” in “International Journal of Advanced Computer Technology (IJACT)”, Vol. 3, Issue No. 6 [ISSN : 2319-7900]
IV. Anusha Medavaka, P. Shireesha, “A Survey on TraffiCop Android Application” in “Journal of Advances in Science and Technology”, Vol. 14, Issue No. 2, September-2017 [ISSN : 2230-9659]
V. B. H. Clark as well as D. B. Montgomery, “Managerial Identification of Competitors,” Journal of Marketing, 1999.
VI. G. Pant and O. R. Sheng, “Web footprints of companies: Using on-line isomorphism for competition id,” Information Systems Research, vol. 26, no. 1, pp. 188– 209, 2015.
VII. J. F. Porac as well as H. Thomas, “Taxonomic mental styles in competitor definition,” The Academy of Management Review, 2008.
VIII. K. Xu, S. S. Liao, J. Li, as well as Y. Song, “Mining comparative opin- ions coming from consumer assessments for very competitive intellect,” Decis. Help Syst., 2011.
IX. M. Bergen as well as M. A. Peteraf, “Competitor identity as well as competitor study: a vast- based managing method,” Managerial and Decision Economics, 2002.
X. Q. Wan, R. C.-W. Wong, and Y. Peng, “Finding top-k successful products,” in ICDE, 2011.
XI. W. T. Few, “Managerial competition identification: Integrating the classification, economical and also business identification perspectives, “DoctoralDissertaion, 2007.
XII. X.Q. Wan, R. C.-W. Wong, I. F. Ilyas, M. T. O ¨ zsu, as well as Y. Peng, “Creating affordable items,” PVLDB, vol. 2, no. 1, pp. 898– 909, 2009.

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Abstract:

Large cities have increasing mobility problems due to a large number of vehicles on the streets and roads, which results in traffic jams and thus a waste of time and money. An alternative to improve traffic is to prioritize the public transportation system. Many cities across the world have recently launched ambitious programs of BRT system implementation with varying success. And Peshawar is also one of them which has launched a BRT system in 2017. This paper presents the planning management and importance of Bus rapid transit (BRT) for the city like Peshawar as it is more cost-effective mode, and to examine the level of accessibility, perception/acceptability of users on the operations of BRT in Peshawar in terms of distances, safety, affordability, reliability, travel time and waiting time at the BRT bus stops. Creating a safe corridor by combining the existing physical infrastructure and the use of communications systems in all components of the BRT system is to improve passenger safety factors in urban trips. For the study, data for all the cities have been collected from different sources such as local authority websites, organizations involved in the projects, published reports and studies, and the media. 

Keywords:

Bus Rapid Transit,passengers,Corridor,Stations,Planning and Management,Peshawar city,

Refference:

I. Ali, Z., Shah, S. A. A., & Hussain, A. (2012). Growing Traffic in Peshawar: An Analysis of Causes and Impacts. South Asian Studies.
II. Asim Farooq, AamirJavaid, Dr. Astrid Karl Peshawar Local Public Transport Strategy and Organization (Pakistan) © 2015 IJEDR | Volume 3, Issue 4 | ISSN: 2321-9939

III. DesMobi, 2016. Preliminary Design Report, Peshawar Bus Rapid Transit Project.

IV. EPA, 1997: Guidelines for Sensitive and Critical Areas. Pakistan Environmental Protection Agency, Government of Pakistan, October

V. GoP, 1997: Sectoral Guidelines for Environmental Reports: – Environmental Protection Agency, Government of Pakistan, October

VI. GoP, 1997: Pakistan Environmental Protection Act 1997: – Government of Pakistan, October

VII. GoP, 1997: Policy Guidelines for Preparation and Review of Environmental Reports: – Environmental Protection Agency, Government of Pakistan, November

VIII. GoP, 1997: Policy and Procedures for filling, review and approval of Environmental Assessment Environmental Protection Agency, Government of Pakistan, November
IX. Government of Khyber Pakhtunkhw. (2015). Khyber Pakhtunkhwa in Figures 2014. Retrieved from http://kpbos.gov.pk/files/1425491934.pdf.
X. L.Da-ming, J. Xiao-jing, “General Introduction of Bus Rapicl Transport Intelligent System of Beijing South-Center Corridor”. In: Conf. Communication and Transportation Systems Engineering and Information, China, 2005
XI. Samina Islam, 2016, Land Acquisition and Resettlement Plan for Peshawar BRT

XII. Survey of Pakistan, 1997. Atlas of Pakistan. Director Map Publication, Survey of Pakistan, Rawalpindi.

XIII. World Bank. 2001. OP 4.12 – Involuntary Resettlement. The World Bank Operational

XIV. World Bank. 2003. Social Analysis Sourcebook, Incorporating Social Dimensions into Bank-Supported Projects. Social Development Department, The World Bank. December 2003.

XV. World Bank. 2005. OP 4.10 – Indigenous People. The World Bank Operational Manual. The World Bank. July 2005

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Abstract:

The nanotechnology has added new trends in concrete. By virtue of it has enhanced the concrete properties. The study is associated with the application of nano silica (Fume silica) and Bagasse Ash. The reason for the tests conducted was to discover impacts of fumesilica (FS) & B-A on the quality features of concrete. B-A & fume-Silica were used to examine whether these nano materials are capable to enhance the concrete bonds or they are weak. The tests when conducted, the nano material B-A, replaced cement by10 percent & 20 percent & (1, 2 & 3)percent of fume-Silica was added by weight. The tests when conducted, showed impressive increase in early age compressive strength and steady increase in overall compressive strength. The increased strength was due to the percentage addition nano materials. The FESEM micrographs illustrated that the nano materials have hardened the concrete bonds up to certain addition by weight and a gradual decrease was seen when the amounts of nano materials exceeded than the required ratios.

Keywords:

Concrete,Fume silica,Compressive strength,Bagasse Ash (B-A),

Refference:

I. Bartos, P. J., Sonebi, M., &Tamimi, A. K. (Eds.). (2002). Report 24: workability and rheology of fresh concrete: compendium of tests–report of RILEM Technical Committee TC 145-WSM (Vol. 24). RILEM publications.

II. Feynman, R.P. (1960). There’s plenty of room at the bottom. Engineering and Science 23, pp. 22-36.

III. Garboczi, E.J. (2009). Concrete nanoscience and nanotechnology: Definitions and applications. Nanotechnology in Construction 3, pp. 81-88.

IV. Hammond, G. P., & Jones, C. I. (2008). Embodied energy and carbon in construction materials. Proceedings of the Institution of Civil Engineers-Energy, 161(2), 87-98.

V. Kline, J., &Barcelo, L. (2012, May). Cement and CO 2, a victim of success!. In Cement Industry Technical Conference, 2012 IEEE-IAS/PCA 53rd (pp. 1-14). IEEE.

VI. Nelson, E.B. and Guillot, D. (2007). Well Cementing. Second edition, Schlumberger Ltd., Sugar Land, Texas, U.S.A., pp. 1-773.

VII. Olivier, J. G., Peters, J. A., &Janssens-Maenhout, G. (2012). Trends in global CO2 emissions 2012 report. The Hague, pp. 1-64.

VIII. Proske, T., Hainer, S., Rezvani, M., &Graubner, C. A. (2013). Eco-friendly concretes with reduced water and cement contents—Mix design principles and laboratory tests. Cement and Concrete Research, 51, 38-46.

IX. Sobolev, K., Flores, I., Hermosillo, R. (2006). Nanomaterials and nanotechnology for high-performance cement composites. In Proceedings of ACI Session on “Nanotechnology of Concrete: Recent Developments and Future Perspectives”. American Concrete Institute, 7 November, Denver, U.S.A., pp. 91-118.

X. Taniguchi, N. (1974). On the basic concept of nano-technology. In Proceedings of International Conference on Production Engineering Tokyo, Part II, Vol. 2, Japan, Society of Precision Engineering, pp. 18-23.

XI. Van den Heede, P., & De Belie, N. (2012). Environmental impact and life cycle assessment (LCA) of traditional and ‘green ‘concretes: literature review and theoretical calculations. Cement and Concrete Composites, 34(4), 431-442

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Abstract:

Nowadays population growth increasing exponentially and also health diseases increase parallel due to environment and manmade things. A common person live healthy to required things are air, food, water environmental conditions and our body functioning. Due to these above parameters health issues are affecting and medical Diagnosis is too costly.  The proposed analysis is helping out to every common people with their exhale; through their exhale they can analyze present environmental and body circumstances. The basic analysis is exhale air quality index comparing some gases like carbon oxide, nitrogen, argon and oxygen. The detection of exhale and analysis forms a major application in therapeutic field. It helps in detecting the deviation real time by using Arduino and integrated sensors. The developed system systematically monitors the gases Parameters to get down various consequences so that early detection of dieses symptoms is possible. Detection of abnormality may lead to avoidance of chronic respiratory diseases

Keywords:

Exhale,Arduino,Integrated Sensors,Gases ,Detection of Abnormality,

Refference:

I. H.Donal Brooke Jenkins, Ideal and Real Gases. Dalton’s Law of Partial Pressures.

II. http://www.e-how.com

III. IvacBozic, DjordjeKlisic, Andrej Savic, Detection of Breath Phases, Serbian Journal of Electrical Engineering, Vol. 6, No.3, 389-398, December2009.

IV. K. SeenaNaik and E. Sudarshan ,” Smart Healthcare Monitoring System using Raspberry Pi on IoT Platform” ARPN Journal of Engineering and Applied Sciences ©2006-2019 Asian Research Publishing Network (ARPN). All rights reserved. Vol. 14, No. 4, February 2019. ISSN 1819-6608.

V. Laura Boccanfuso and Jason M. O’Kane, Remote Measurement of Breath Analysis in Real-time Using a High Precision, Single point, Infrared Temperature Sensor, Biomedical Robotics and Biomechatronics (BioRob), 4th IEEE RAS & EMBS Internation Conference, 2012.

VI. MittapelliNikitha, RajeshwarRaoArabelli, Smart Monitoring and Controlling of home Appliances using Internet of Things, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-4, November 2019.

VII. Paul S.Monks and Kerry A.Wills, Breath Analysis, Education in Chemistry, July 2010.

VIII. Phil Corbishley and Esther Rodriguez-Villegas, Breathing Detection: Towards a Miniaturized, Wearable, Battery-Operated Monitoring System, IEEE Transactions on Biomedical Engineering, Vol .55, No.1, January 2008.

IX. RajeshwarRaoArabelli , D. Rajababu, Transformer Optimal Protection using Internet of Things, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-11, September 2019.

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Abstract:

Abstract In this work, the all-optical plasmonic NOT logic gate was proposed using Insulator-Metal-Insulator (IMI) plasmonic waveguides Technology. The proposed all-optical NOT gate is simulated and realized using COMSOL Multiphysics 5.3a software. Recently, plasmonic technology has attracted high attention due to its wide applications in all-optical signal processing. Due to its high localization to metallic surfaces, surface plasmon (SP) may have huge applications in sub-wavelength to guide the optical signal in the waveguides which result in overcoming the diffraction limit problem in conventional optics. The proposed IMI structure is consists of dielectric waveguides plus metallic claddings, which guide the incident light strongly in the insulator region. Our design consists of symmetric nano-rings structures with two straight waveguides which based on IMI structure. The operation of all-optical NOT gate is realized by employing the constructive and destructive interface between the straight waveguides and the nano-rings structured waveguides. There are three ports in the proposed design, input, control and output ports. The activation of the control port is always ON. By changing the structure dimensions, the materials, the phase of the applied optical signal to the input and control ports, the optical transmission at the output port is changed. In our proposed structure, the insulator dielectric material is glass and the metal material is silver. The calculated contrast ratio between (ON and OFF) output states is 3.16 (dB).

Keywords:

Surface plasmon (SP),Insulator-Metal-Insulator (IMI),all-optical NOT gates,all-optical signal processing,

Refference:

I. B. Wang and G. P. Wang, “Surface plasmon polariton propagation in nanoscale metal gap waveguides,” Optics Letters, vol. 29, pp. 1992-1994, 2004.
II. C. Min, P. Wang, X. Jiao, Y. Deng, and H. Ming, “Beam focusing by metallic nano-slit array containing nonlinear material,” Applied Physics B, vol. 90, pp. 97-99, 2008.
III. Dolatabady and N. Granpayeh, “All-optical logic gates in plasmonic metal-insulator-metal nanowaveguide with slot cavity resonator,” Journal of Nanophotonics, vol. 11, p. 026001, 2017.
IV. H. J. Lezec, A. Degiron, E. Devaux, R. Linke, L. Martin-Moreno, F. Garcia-Vidal, et al., “Beaming light from a subwavelength aperture,” Science, vol. 297, pp. 820-822, 2002.
V. H. Raether, “Surface plasmons on smooth surfaces,” in Surface plasmons on smooth and rough surfaces and on gratings, ed: Springer, 1988, pp. 4-39.
VI. M. Ota, A. Sumimura, M. Fukuhara, Y. Ishii, and M. Fukuda, “Plasmonic-multimode-interference-based logic circuit with simple phase adjustment,” Scientific reports, vol. 6, p. 24546, 2016.
VII. N. Nozhat, H. Alikomak, and M. Khodadadi, “All-optical XOR and NAND logic gates based on plasmonic nanoparticles,” Optics Communications, vol. 392, pp. 208-213, 2017.
VIII. T. Birr, U. Zywietz, P. Chhantyal, B. N. Chichkov, and C. Reinhardt, “Ultrafast surface plasmon-polariton logic gates and half-adder,” Optics Express, vol. 23, pp. 31755-31765, 2015.
IX. T. Nikolajsen, K. Leosson, and S. I. Bozhevolnyi, “Surface plasmon polariton based modulators and switches operating at telecom wavelengths,” Applied Physics Letters, vol. 85, pp. 5833-5835, 2004.
X. T. S. M. Hassan Falah Fakhruldeen, “All-optical NoT Gate Based on Nanoring Silver-Air Plasmonic Waveguide ” International Journal of Engineering & Technology, vol. vol. 7, pp. pp. 2818-2821, 2018.
XI. T. S. M. Hassan Falah Fakhruldeen, Yousif I. Hammadi, “All-Optical Logic Gates Based on Graphene Interferometric Waveguide,” JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES, vol. Vol.-14, pp. 98-110, 2019.
XII. X.-S. Lin and X.-G. Huang, “Tooth-shaped plasmonic waveguide filters with nanometric sizes,” Optics Letters, vol. 33, pp. 2874-2876, 2008.
XIII. Y.-D. Wu, Y.-T. Hsueh, and T.-T. Shih, “Novel All-optical Logic Gates Based on Microring Metal-insulator-metal Plasmonic Waveguides,” in PIERS Proceedings, 2013.

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Abstract:

It can be easily understood that every relay node in traditional multi-hop (TM) communication networks only attends the previous node that is near to it, which is the difficulty in routing. Using directed graphs, the modeling of these networks is performed well in order to achieve the routing. In the networks of accumulative multi-hop (AM) communication, the routing problem is far-off from understanding and yet rather interested in it. The received data energy from earlier relay transmissions can be acquired by numerous relay nodes that assist communication between a single source and a single destination in the accumulative multi-hop network which is a simple one. At this point, in single-source single-destination accumulative multi-hop networks, the difficulty in finding the optimum paths is studied. A method of Load Balanced Energy efficient cross layer based Routing protocol for accumulative networks are implemented in this paper. The end-to-end network connectivity is enhanced as well as the faults at link or/and node level is reduced in this method. Using an energy efficient neighbor node choosing method, the establishment of a set of various paths is done from the source to the destination. Efficient load balancing is offered at the node and a constant route is discovered between the source and destination that meets the delay requirement. With respect to end to end delay, throughput, and energy consumption, the proposed system is outperformed which is demonstrated in the results of simulation.

Keywords:

Accumulative,Multi-hop,Multi-path routing,Cross layer approach,Load balancing,Energy efficiency,

Refference:

I. A. Molisch, N. Mehta, J. Yedidia, and J. Zhang, “Cooperative relay networks using fountain codes,” in Proc. IEEE Global Commun. Conf. (GLOBECOM), Nov. 2006, pp. 1.

II. Agbaria, A.; Gershinsky, G.; Naaman N. &Shagin, K. Extrapolation-based and QoS-aware real-time communication in wireless mobile ad hoc networks. In the 8th IFIP Annual Mediterranean Adhoc Networking Workshop, Med-Hoc-Net 2009. pp.21-26. doi: 10.1109/MEDHOCNET.2009.5205201.

III. Ahmed, M.; Elmoniem, Abd; Ibrahim, Hosny M.; Mohamed, Marghny H. &Hedar, Abdel Rahman. Ant colony and load balancing optimizations for AODV routing protocol. Int. J. Sensor Networks Data Commun., 2012, 1. doi: doi:10.4303/ijsndc/X110203.

IV. Cai, X., Duan, Y., He, Y., Yang, J., Li, C.: Bee-Sensor-C: an energy-efficient and scalable multipath routing protocol for wireless sensor net-works. Int. J. Distrib. Sensor Netw. 26 (2015).

V. I. Maric and R. D. Yates, “Cooperative multihop broadcast for wireless networks,” IEEE J. Sel. Areas Commun., vol. 22, no. 6, pp. 1080–1088, Aug. 2004.

VI. J. Castura and Y. Mao, “Rateless coding over fading channels,” IEEE Commun. Lett., vol. 10, no. 1, pp. 46–48, Jan. 2006.

VII. J. Chen, L. Jia, X. Liu, G. Noubir, and R. Sundaram, “Minimum energy accumulative routing in wireless networks,” in Proc. IEEE INFOCOM, vol. 3. Mar. 2005, pp. 1875–1886.

VIII. J. Gómez-Vilardebó, “Routing in Accumulative Multi-Hop Networks,” in IEEE/ACM Transactions on Networking, vol. 25, no. 5, pp. 2815-2828,Oct. 2017. doi: 10.1109/TNET.2017.2703909.
IX. J. Gomez-Vilardebo, “Heuristic routing algorithms for minimum energy cooperative multi-hop wireless networks,” in Proc. 20th Eur. Wireless Conf., May 2014, pp. 1–5.-12

X. J. Gomez-Vilardebo, “Routing in accumulative multi-hop networks,” in Proc. IEEE Conf. Comput. Commun. (INFOCOM), Apr. 2015, pp. 1814–1821.

XI. L. Sobrinho, “An algebraic theory of dynamic network routing,” IEEE/ACM Trans. Netw., vol. 13, no. 5, pp. 1160–1173, Oct. 2005.

XII. Mohapatra, S., Siddappa, M.: Improvised routing using Border Cluster Node for Bee-AdHoc-C: an energy-efficient and systematic routing protocol for MANETs. In: International Conference On Advances in Computer Applications, IEEE ICACA-2016 (2016).

XIII. R. Yim, N. Mehta, A. F. Molisch, and J. Zhang, “Progressive accumulative routing in wireless networks,” in Proc. IEEE Global Commun. Conf. (GLOBECOM), Nov. 2006, pp. 1–6.

XIV. S. C. Draper, L. Liu, A. F. Molisch, and J. S. Yedidia, “Cooperative transmission for wireless networks using mutual-information accumulation,” IEEE Trans. Inf. Theory, vol. 57, no. 8, pp. 5151–5162, Aug. 2011.

XV. Saleem, M., Farooq, M.: Beesensor: a bee-inspired power aware routing protocol for wireless sensor networks. In: Workshops on Applications of Evolutionary Computation, pp. 81–90. Springer Berlin Heidelberg (2007).

XVI. Siva, K. & P. Duraiswamy, K. A QoS routing protocol for mobile ad hoc networks based on the load distribution. In the IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2010, pp.1-6. doi: 10.1109/ICCIC.2010.5705724.

XVII. Srivastava, S.; Daniel, A.K.; Singh, R. &Saini, J.P. Energyefficient position based routing protocol for mobile ad hoc networks. In the IEEE International Conference on Radar Communication and Computing (ICRCC), 2012, pp.18- 23. doi: 10.1109/ICRCC.2012.6450540.

XVIII. T. Girici and A. C. Kazez, “Energy efficient routing with mutual information accumulation,” in Proc. 10th Int. Symp. Modeling Optim. Mobile, Ad Hoc Wireless Netw. (WiOpt), May 2012, pp. 425–430.

XIX. Y. Yang and J. Wang, “Design guidelines for routing metrics in Multi-hop wireless networks,” in Proc. IEEE INFOCOM, Apr. 2008, pp. 1615–1623.

XX. Yu, J.Y., Chong, P.H.J.: A survey of clustering schemes for mobile ad hoc networks. IEEE Commun. Surv. Tutorials 7(1), 32–48 (2005).

XXI. Z. Yang and A. Høst-Madsen, “Routing and power allocation in asynchronous Gaussian multiple-relay channels,” EURASIP J. Wireless Commun. Netw., vol. 2006, no. 2, p. 35, 2006.

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Abstract:

Soft-learning courses are sought-after as well as late. The need to examine understudy's presentation and anticipating their exhibition is expanding alongside it. With the developing notoriety of instructive innovation, different information digging calculations appropriate for anticipating understudy execution have been surveyed. The best calculation is based on the idea of the forecast that the staff needs to make. As the measurement of understudy information broadens the need to address and manage the complexities of the information connection, it is a test for the discovery of the understudy at risk of being short-lived.  In this paper covers the ID3 and C4.5 algorithms used for Predictive Analytics on understudy's presentation and Big Data with cloud.

Keywords:

Soft-Learning Techniques,Machine Learning Approach,Basics of Predictive Analytics,Decision Tree Techniques (C4.5 and ID3),Big Data,

Refference:

I. A. M.Shahiri, W. Hussain and N. A. Rashid. “A Review on Predicting Student’s Performance using Data Mining Techniques”, Procedia Computer Science, vol. 72, pp. 414-422, 2015.
II. B. Logica and R. Magdalena, “Using Big Data in the Academic Environment”, Procedia Economics and Finance, vol. 33, pp. 277-286, 2015.
III. C. T. Tsai, et. al., “Exchanging course content mechanism for Moodle LMS”,In: Proc. of International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, Huangshan, China, IEEE, pp. 464-467, 2010.
IV. D. Clanfield and J.Sivell, “Cooperative learning & social change: selected writings of CélestinFreinet. Our Schools: Canada. Firdausiah Mansur, AndiBesse, Yusof, Norazah& Othman, Mohd. Shahizan. (2011). Analysis of social learning network for Wiki in Moodle e-learning.
V. E. A. Kareem and M. G. Duaimi, “Improved Accuracy for Decision Tree Algorithm Based on Unsupervised Discretization”, International Journal of Computer Science and Mobile Computing, vol. 3, no. 6, pp. 176-183, Jun. 2014.
VI. H. Chauhan and A. Chauhan, “Implementation of decision tree algorithm C4.5”, International Journal of Scientific and Research Publications, vol. 3, no. 10, pp. 1-3, Oct. 2013.
VII. H. Gulati, “Predictive Analytics Using Data Mining Technique”,In: Proc. of 2nd International Conference on Computing for Sustainable Global Development, New Delhi, India, IEEE, 2015.
VIII. J. Han and M.Kamber, “Data Mining Conceptsandits Techniques”, Morgan Kauffmann Publishers, 2011. DOI: https://doi.org/10.1016/C2009-0-61819-5
IX. K. Kinley, “Faculty and students’ awareness and challenges of e-learning in a college of education”, Journal of the International Society for Teacher Education, vol. 14, no. 1, pp. 27-33, 2010.
X. M. A. Al-Barrak and M. Al-Razgan, “Prediction of Student’s Final GPA implementing Decision Trees: A Case Study”, International Journal of Information and Education Technology, vol. 6, no. 7, July 2016.
XI. M. G. M. Mohan, S. K. Augustin and V. S. K. Roshni,“A Big Data Approach for Classification and Prediction of Student Result Using Map Reduce”,IEEE Recent Advances in Intelligent Computational Systems, Trivandrum, India, IEEE, 2015.
XII. W. Dai and W. Ji, “Implementing Map Reduce with C4.5 Decision Tree Algorithm”, Journal of Database Theory and Application, vo. 7, no. 1, pp. 49-60, 2014.

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Abstract:

Since forty years of computing history, cloud computing has made revolutionary changes. The daily life of human beings is completely depended on this advancement. Data centres are the backbone for the cloud computing. During the time of peak hours, load will be heavy on data center. Load balancing is needed. It provides better services to the end-user. Existing load balancing algorithms have their drawbacks. Hybrid algorithm approach is also a way to balance the load in cloud computing. Many efforts are made by several researchers in this direction. Combination of Round robin, Throttled, Equally Spread Current Execution, and Artificial Bee Colony Optimization algorithms as a hybrid algorithm (RTEAH) has shown improved results, hence it can be considered. 

Keywords:

Cloud computing,Distributed Computing,Virtual Machine,Data Center,Downtime,

Refference:

I. A. Addison and C. Andrews, “Low-Latency Trading in Cloud Environment ”, Conf. Comp. Science and Eng. and Embed. & Ubiquitous Computing, NewYork, USA, pp.272 282, 2019.

II. A. Sharma and S. K. Peddoju, “Response time-based load balancing in Cloud Comp.”, Conf. on Contrl, Instrumt., Comm. and Comp. Tech., Kanyakumari District, India,pp.1287 1293,2014.

III. Chen, X., “Decentralized Computation Offloading Game For Mobile Cloud Comp. ”, Decentralized Comp. Offload. Game for Mob.Cloud Comp. IEEE Trans. on Parl. and Dist. Sys., Vol. 26, No.4, pp. 974 983. 2015.

IV. K. Ha, P. Pillai,“The Impact of Mobile Multimedia Appli. on Data Center Consolidation”, IEEE Intl. Conf. on Cloud Eng.,California, USA, pp.166 176 , 2013.

V. Linthicum, D. S., “ Understanding Complex Cloud Patterns ” , IEEE Cloud Comp., Vol. 3,No. 1, pp.8 11, 2016.

VI. Mavrogeorgi, N., Gogouvitis, S., “ Dynamic Rule Based SLA Management in Clouds”. IEEE Sixth Intl. Conf. on Cloud Comp., Santa Clara, CA, USA, pp. 964 965, 2013.

VII. Rani, E., &Kaur, H., “ Study on fundamental usage of Cloud Simsimu. And algo. of resource allocation in cloud comp. ”, 8th Intl. Conf. on Comp., Communic. and Network. Tech., IEEE Conference, Delhi, India, pp.2 7,2017.

VIII. Ritu, S. Jain, “ A Trust Model in Cloud Computing Based on Fuzzy Logic ”,IEEE Intl. Conf. On Recent Trends InEle. Info. Comm. Tech., Bangalore, India, 47 52, 2016

IX. S. A. Narale and P. K. Butey, “IEEE Intl. Conf. 2nd Intl. Conf. on Inventive Comm. and Comp. Tech.”, Coimbatore, India, pp.1464 1467,2018.

X. Shakeel, F., & Sharma, S. “ Green cloud computing: A review on efficiency of data centres and virtualization of servers”, Intl. Conf. on Comp., Comm. and Automation ,Greater Noida, India,pp.1264 1267,2017.

XI. Wang, Z., Zeng, J., “ Cloud Auditor: A Cloud Auditing Framework Based on Nested Virtualization”, IEEE 3rd Intl Conf. on Cyber Security and Cloud Comp., Beijing, China, pp.50 53, 2016.

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Abstract:

The estimation of the regular regression model requires several assumptions to be satisfied such as "linearity". One problem occurs by partitioning the regression curve into two (or more) parts and then joining them by threshold point(s). This situation is regarded as a linearity violation of regression. Therefore, the multiphase regression model is received increasing attention as an alternative approach which describes the changing of the behavior of the phenomenon through threshold point estimation. Maximum likelihood estimator "MLE" has been used in both model and threshold point estimations. However, MLE is not resistant against violations such as outliers' existence or in case of the heavy-tailed error distribution. The main goal of this paper is to suggest a new hybrid estimator obtained by an ad-hoc algorithm which relies on data driven strategy that overcomes outliers. While the minor goal is to introduce a new employment of an unweighted estimation method named "winsorization"  which is a good method to get robustness in regression estimation via special technique to reduce the effect of the outliers. Another specific contribution in this paper is to suggest employing "Kernel" function as a new weight (in the scope of the researcher's knowledge).Moreover, two weighted estimations are based on robust weight functions named "Cauchy" and "Talworth". Simulations have been constructed with contamination levels (0%, 5%, and 10%) which associated with sample sizes (n=40,100). Real data application showed the superior performance of the suggested method compared with other methods using RMSE and R² criteria.

Keywords:

Data-driven strategy,kernel,multiphase regression,robustness,threshold point,winsorization,

Refference:

I. Acitas, S. and Senoglu, B., (2020). “Robust change point estimation in two-phase linear regression models: An application to metabolic pathway data”. Journal of Computational and Applied Mathematics, Vol. 363, pp 337–349.

II. Chen, C.W.S., Chan, J. S.K., Gerlach, R., and Hsieh, W. Y.L., (2011). “A comparison of estimators for regression models with change points”. Stat Comput, Vol. 21, pp 395–414.

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Abstract:

Development has been achieved to the road vehicle industry so as to manufacture types of automobiles with high ride passenger comfort. One requirement needed to obtain good quality of drive handling efficient operating characteristics of the model system which is equipped for road automobile. The suspension systems are mainly used to restrain externally disturbance from affecting ride tripper rest .Our research had been presented (Fuzzy PID) control for investigate active road vehicle suspension controller. The Fuzzy logic function is used to improve tuning and performance the gain of the road vehicle suspension with PID controller. Undesired displacements of the road vehicle body during dynamic process are presented and compared for two road vehicle models with PID controller and FUZZY PID controller. The final simulated results show the influence of the active road vehicle suspension controller on the efficiency of ride road vehicle handling however raising the strength and execute slick driving. Then, a robust control is executed to optimize these operating characteristics of the suspension systems to improve the road vehicle.

Keywords:

Fuzzy PID controller,active suspension,quarter vehicle model,MATLAB simulation,

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