Charles Chikwendu Okpala, Okechukwu Chiedu Ezeanyim, and Ifeyinwa Faith Ogbodo·March 2020·pp. 01-08
Toady’s manufacturing companies are competing on the international marketplace. Therefore, to remain relevant, they are embracing production philosophies that will enable them to increase their throughput, profitability, and flexibility, by achieving quick response to changes in production, products, process, and equipment. One of such philosophies is Computer Integrated manufacturing (CIM); a manufacturing strategy that integrates CAD/CAM to automate flexible manufacturing, by synchronizing robots, inventory handling processes, work cells, and storage facilities. This paper provided a detailed definition of CIM, before listing the three decisive strategies for its successful implementation, after which the impact of the manufacturing strategy in Electronics Development Institute (ELDI) in Awka – Nigeria was examined. The numerous benefits of the manufacturing process which include but not limited to quicker responses to data-changes for manufacturing flexibility, increased flexibility towards introduction of new products, improved accuracy and quality in the manufacturing process, and improved quality of products were also discussed in detail. After listing the challenges of successful implementation of the manufacturing strategy, the paper noted that the suitability of CIM to the entire aim and objectives of a manufacturing company must be duly considered before the adoption of the production strategy, to ensure that it offers the firm the much needed competitive advantage.
Charles Chikwendu Okpala
Department of Industrial/Production Engineering, Nnamdi Azikiwe University, P.M.B. 5025 Awka, Anambra State, Nigeria
Okechukwu Chiedu Ezeanyim
Department of Industrial/Production Engineering, Nnamdi Azikiwe University, P.M.B. 5025 Awka, Anambra State, Nigeria
Ifeyinwa Faith Ogbodo
Department of Industrial/Production Engineering, Nnamdi Azikiwe University, P.M.B. 5025 Awka, Anambra State, Nigeria
**[1] Abdulghafour, A. (2016), “Computer Integrated Manufacturing” [Online]. Accessed on 2 February 2020, from https://docplayer.net/8583569-Computer-integrated-manufacturing.html [2] Attaran, M. (1996), “Barriers to Effective CIM Implementation” Journal of Information Systems Management, vol. 13, iss. 4 [3] Bakerjian, R. and Cubberly, W. (1989), “Tools and Manufacturing Engineers Handbook - Desk Edition” Society of Manufacturing Engineers [4] Godwin H. and Ogbodo I. (2010), “An Investigation into the Effects of CIM in Electronic Development Institute ELDI, Nigeria” Proceedings of International Conference on Research and Development, vol 3. [5] Gunasekaren, A. (1997), “Implementation of Computer-Integrated Manufacturing: ASurvey of Integration and Adaptability issues” International Journal of Computer Integrated Manufacturing. Vol. 10, Nos 1-4 [6] Massod, T. and Khan, I. (2004), “Productivity Improvement Through Computer Integrated Manufacturing in Post WTO Scenario” Proceedings of 2004 National Conference on Emerging Technologies [Online]. Accessed on 21 May 2018, from http://www.szabist.edu.pk/Publications/ZSession%20II%20Paper%20No%202%20(P%20171-177).pdf [7] Qadri, M., Sreshth, P., and Khandelwal, S. (2015), “Accelerating Productivity Through Computer Integrated Manufacturing” International Journal of Innovative Research in Science, Engineering and Technology, vol. 4, iss. 4. [8] Riley, L. and Cox, L. (1998), “Computer Integrated Manufacturing: Challenges and Barriers ti Implementation” [Online]. Accessed on 16 February 2020, from http://tiij.org/issues/issues/winter98/manufacturing/riley/riley.html [9] Singh, S. (2016), “Computer Integrated Manufacturing: The Key Benefits” [Online]. Accessed on 13 December 2019, from https://www.linkedin.com/pulse/computer-integrated-manufacturing-key-benefits-sukhjinder-singh [10] Snyder, C. and Cox, J. (1989), “Developing Computer Integrated Manufacturing: Major Issues and Problem Areas” Journal of Engineering Costs and Production Economics, Vol. 17, iss. 1 - 4 [11] Turek, B. (2017), “What Are the Advantages of a Computer-Integrated Manufacturing System?” [Online]. Accessed on 16 March 2018, from https://bizfluent.com/info-8588811-advantages-computerintegrated-manufacturing-system.html**
Charles Chikwendu Okpala, Okechukwu Chiedu Ezeanyim, and Ifeyinwa Faith Ogbodo "Computer Integrated Manufacturing Implementation: Benefits and Challenges" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 3, March 2020, pp.01-08 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue3/01-08.pdf
In a context of sustainable development challenges of our century. Improving the living comfort is inevitably accompanied by a significant increase in energy requirements. Thus there has been a steady growth in global energy demand. Given the depletion of fossil fuel resources and environmental problems caused by their consumption, the use of alternative energy sources is essential in order to continue to meet the growing energy demand and preserve the environment. New technologies based on renewable energy sources will be inducedto take a place of importance in energy production. The biomass sector because of the importance of its feedstock is considered as a promising way in the future. The biomass in relation to other renewable energies has a very flexible use in power generation plants; it is not dependent on weather conditions. The biomass resource is very diverse: it can come from energy crops industrial and agricultural solid wastes. The gasification of biomass is a thermochemical treatment that converts to carbonaceous solid into a combustible gas mixture, known as synthesis gas (syngas) containing hydrogen, carbon monoxide and methane. The aim of this work is to valorize the solid waste of agriculture, industry and households. The results showed that we can turn this waste into a synthesis of gas and fuel power stations by IGCC(Integrated Gasification Combined Cycle) for electrical energy production.
Mohammed Alswat
Department of Mechanical Engineering, University of Tabuk
**[1] Jarungthammachote, S, Dutta, A, “Thermodynamic equilibrium model and second law analysis downdraft of a waste gasifier”, Energy (Elsevier) 32 (2007) 1660–1669. [2] Basu,P, “Biomass Gasification and Pyrolysis Practical Design and Theory”, Academic Press is an imprint of Elsevier, 2010. [3] Demirbas, A. Biofuels sources, biofuel policy, biofuel economy and global biofuel projections. Department of energy conversion and management, 2008; 49(8): 2106-2116. [4] European Union. European Parliament Directive 2009/28/EC of the European Parliament and of the Council of 23 April 2009. Off. J. Eur. Union 2009, 140, 16–62, doi:10.3000/17252555.L\_2009.140.eng. [5] USA Energy Independence. Security Act of 2007. Public Law 2007, 2007, 110–140. [6] https://www.eia.gov/energyexplained/biomass/ available online 1/12/2018. [7] Vasudevan P, Sharma S, Kumar A. Liquid fuel from biomass: an overview. J SciInd Res. 2005. (64): 822–31. [8] Syed, S, Janajreh,S, Ghenai,G “Thermodynamics Equilibrium Analysis within the Entrained Flow Gasifier Environment” Int. J. of Thermal & Environmental Engineering Volume 4, No. 1 (2012) 47-54. [9] Alamsyah, R., Loebis, E., Susanto, E., Junaidi, L. and Siregar, N., an Experimental Study on Synthetic Gas (Syngas) Production through Gasification of Indonesian Biomass Pellet, Energy Procedia 65 (2015) 292 – 299 [10] Guan, Q.; Savage, P.E.;Wei, C. Gasification of alga Nannochloropsis sp. in supercritical water. J. Supercrit. Fluids 2012, 61, 139–145. [11] Yakaboylu, O.; Albrecht, I.; Harinck, J.; Smit, K.; Tsalidis, G.-A.; Di Marcello, M.; Anastasakis, K.; de Jong, W. Supercritical water gasification of biomass in fluidized bed: First results and experiences obtained from TUDelft/Gensos semi-pilot scale setup. Biomass Bioenergy 2018, 111, 330–342. [12] Withag, J.A.; Smeets, J.R.; Bramer, E.A.; Brem, G. System model for gasification of biomass model compounds in supercritical water–a thermodynamic analysis. J. Supercrit. Fluids 2012, 61, 157–166. [13] Guo, L.; Lu, Y.; Zhang, X.; Ji, C.; Guan, Y.; Pei, A. Hydrogen production by biomass gasification in supercritical water: A systematic experimental and analytical study. Catal. Today 2007, 129, 275–286. [14] Yu, D.; Aihara, M.; Antal, M.J., Jr. Hydrogen production by steam reforming glucose in supercritical water. Energy Fuels 1993, 7, 574–577. [15] Yong, T.L.-K.; Matsumura, Y. Reaction kinetics of the lignin conversion in supercritical water. Ind. Eng. Chem. Res. 2012, 51, 11975–11988. [16] Zainal, Z.A, Ali, R., Lean, C.H, Seetharamu, K.N “Prediction of performance of a downdraft gasifier using equilibrium modeling for different biomass materials”, Energy Conversion and Management, Volume 42, Issue 12, August 2001, Pages 1499–1515. [17] Kangas,P, Hannula, I, Koukkari, P, Hupa, M, “Effects of various operational parameters on biomass gasification process; a modified equilibrium model”, Fuel (Elsevier), Volume 129, 1 August 2014, Pages 86-94. [18] Mikulandrić, R, Lončar, D, Böhning, D, Böhme, B, Beckmann, M “Effects of various operational parameters on biomass gasification process; a modified equilibrium model”, Energy Conversion and Management (Elsevier), Volume 87, November 2014, Pages 1210-1223. [19] D Baruah,D,. Baruah, D.C “Modeling of biomass gasification: A review”, Renewable and Sustainable Energy Reviews (Elsevier), Volume 39, November 2014, Pages 806-815. [20] Gómez-Barea, A., Leckner,B , “Modeling of biomass gasification in fluidized bed”, Progress in Energy and Combustion Science, Volume 36, Issue 4, August 2010, Pages 444-509.**
Mohammed Alswat "Production of Synthetic Gas (Syngas) by Gasification Process of Biomass " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 3, March 2020, pp.09-16 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue3/09-16.pdf
The proposed paper incorporate the use of hybrid MPPT to ensure peak energy harvesting under all weather condition. It is the combines the Incremental Conductance and Constant Reference Voltage method used to extract the maximum power from photovoltaic system. Control schemes for PV –Battery systems must be able to stabilize the bus voltage as well as to control the power flow. Battery storage is used to mitigate power fluctuation in PV system due to the change in irradiation characteristics. In micro-grid both grid connected and islanded mode operations are tested using MATLAB/SIMULINK environment and results are verified using simulation results.
Esther Jebarose G
PG Scholar, Department of Electrical Engineering, Government College of Engineering, Tirunelveli, Tamil Nadu, India
C.Ponmani
Associate Professor, Department of Electrical Engineering, Government College of Engineering, Tirunelveli, Tamil Nadu, India
**[1] S. Kolesnik and A. Kuperman, “On the equivalence of major variable- step-size MPPT algorithms,” IEEE J. Photovolt., vol. 6, no. 2, pp. 590– 594, March 2016. [2] H. A. Sher, A. F. Murtaza, A. Noman, K. E. Addoweesh, K. Al-Haddad, and M. Chiaberge, “A new sensorless hybrid MPPT algorithm based on fractional short-circuit current measurement and P&O MPPT,” IEEE Trans. Sustain. Energy, vol. 6, no. 4, pp. 1426–1434, Oct 2015. [3] S. Duryea, S. Islam and W. Lawrance, “A battery management system for stand-alone photovoltaic energy systems,” IEEE Industrial Application Magazine, vol. 7, no. 3, pp. 67-72, June 2001. [4] D. Fuente, C. L. T. Rodríguez, G. Garcerá, E. Figueres and R. O. Gonzalez, "Photovoltaic power system with battery backup with grid-connection and islanded operation capabilities," IEEE Transactions on Industrial Electronics, vol. 60, no. 4, pp. 1571- 1581, April 2013. [5] Y. Karimi, H. Oraee, M. Golsorkhi, and J. Guerrero, “Decentralized method for load sharing and power management in a PV/battery hybrid source islanded microgrid,” IEEE Trans. Power Electron., vol. PP, no. 99, pp. 1–1, 2016. [6] Y. Riffonneau, S. Bacha, F. Barruel, and S. Ploix, “Optimal power flow management for grid connected PV systems with batteries,” IEEE Trans. Sustain. Energy, vol. 2, no. 3, pp. 309–320, July 2011. [7] M. Andersen and B. Alvsten, “200 w low cost module integrated utility interface for modular photovoltaic energy systems,” in Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on, vol. 1. IEEE, 1995, pp. 572–577. [8] H. A. Sher, A. F. Murtaza, A. Noman, K. E. Addoweesh, K. Al- Haddad, and M. Chiaberge, “A new sensorless hybrid mppt algorithm based on fractional short-circuit current measurement and P&O MPPT” Sustainable Energy,IEEE Transactions on, vol. 6, no. 4, pp. 1426–1434, Oct 2015. [9] Y. M. Chen, A. Q. Huang and Y. Xunwei, "A high step-up three-port DC-DC converter for stand-alone PV/battery power systems, " IEEE Transactions on Power Electronics, vol. 28, no. 11, pp. 5049-5062, Nov. 2013. [10] B. S. Borowy and Z. M. Salameh, “Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system,” IEEE Trans. Energy Convers., vol. 11, no. 2, pp. 367–375, Jun 1996. [11] D. Abbes, A. Martinez, and G. Champenois, “Eco-design optimisation of an autonomous hybrid wind-photovoltaic system with battery storage,” IET Renewable Power Generation, vol. 6, no. 5, pp. 358–371, Sept 2012. [12] H. Mahmood, D. Michaelson, and J. Jiang, “A power management strategy for PV/battery hybrid systems in islanded microgrids,” IEEE J. Emerg. Sel. Top. Power Electron, vol. 2, no. 4, pp. 870–882, Dec 2014. [13] M. O. Badawy and Y. Sozer, “Power flow management of a grid tied pv-battery system for charging of electric vehicles,” IEEE Trans. Ind. Appl., vol. PP, no. 99, pp. 1–1, 2016. [14] H. Vahedi, P. A. Labb, and K. Al-Haddad, “Sensor-less five-level packed u- cell (puc5) inverter operating in stand-alone and grid-connected modes,” Industrial Informatics , IEEE Transactions on, vol. 12, no. 1, pp. 361–370, Feb 2016. [15] Y. Riffonneau, S. Bacha, F. Barruel, and S. Ploix, “Optimal power flow management for grid connected PV systems with batteries,” IEEE Trans. Sustain. Energy, vol. 2, no. 3, pp. 309–320, July 2011. [16] T. A. Nguyen, X. Qiu, J. D. G. II, M. L. Crow, and A. C. Elmore, “Performance characterization for photovoltaic-vanadium redox battery microgrid systems,” IEEE Trans. Sustain. Energy, vol. 5, no. 4, pp. 1379–1388, Oct 2014.**
Esther Jebarose G, C.Ponmani "Control and Power Management Scheme for PV –Battery Based Hybrid Microgrid Using Hybrid MPPT" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 3, March 2020, pp.17-21 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue3/17-21.pdf
Priyanka S, Yuvasri G, Julia Faith S·March 2020·pp. 22-24
The objective of the project, to track the medical prescription of the patient in hospital management, using blockchain technology implemented using the Hyperledger Fabric platform, an open source, distributed ledger technology (DLT) platform, designed to enterprise context. The various parties, namely the Hospitals, the pharmacies, e-pharmacies, and the patients can be connected by hosting multiple nodes on the fabric chain. A web-based App for doctors is connected with Hospitals as well as the participating pharmacies and e-pharmacies. The Doctors can upload the patient’s prescription data in the application, the pharmacies and e-pharmacies access the data and send notification to said patient if the prescribed medicines are available. In many cases, such as a long-term user of a particular medicine, say for heart medication, can be reminded to refill. Patient can check for pharmacies nearby and their medicines availability. Patient’s details are highly confidential, it will be kept private and only accessed on request basics and enabled for concerned participants this is achieved by zero-knowledge proof. The patients will have their complete medical history that gives access to the doctors without having to repeat the process of conveying the relevant information.
Priyanka S
UG Scholar, Dept of IT, S.A Engineering College, Chennai, India
Yuvasri G
UG Scholar, Dept of IT, S.A Engineering College, Chennai, India
Julia Faith S
Assistant Professor, Dept of IT, S.A Engineering College, Chennai, India
**[1] LEILA ISMAIL , HUNED MATERWALA SHERALI ZEADALLY Lightweight Blockchain for Healthcare.IEE ACCESS VOLUME 7, 2019 [2] Patrick L,Scott D. Nelson,Bradley A. Malin,You Chen DMMS: A Decentralized Blockchain Ledger for the Management of Medication Histories, https://blockchainhealthcaretoday.com/index.php/journal/article/view/38/107 [3] Gajendra J. Katuwal1, Sandip Pandey2, Mark Hennessey3, and Bishal Lamichhane Applications of Blockchain in Healthcare: Current Landscape & Challenges in December 10,2018. https://www.researchgate.net/publication/329525760\_Applications\_of\_Blockchain\_in\_Healthcare\_Current\_Landscape\_Challenges [4] SudeepTanwarKaranParekh a,RichardEvansbBlockchain-based electronic healthcare record system for healthcare 4.0 applicationshttps://www.sciencedirect.com/science/article/pii/S2214212619306155 [5] Peng Zhang, Douglas C. Schmidt, and Jules White Vanderbilt University, Nashville, TN,Blockchain Technology Use Cases in Healthcare IEEE 2018 www.dre.vanderbilt.edu/~schmidt/PDF/blockchain-bookchapter-2018.pdf [6] .Sabyasachi Chakraborty, Satyabrata Aich , Hee-Cheol Kim A Secure Healthcare System Design Framework using Blockchain Technology. International Conference on Advanced Communications Technology(ICACT) ICACT2019 February 17-20, 2019 [7] .Uttkarsh Goel ,Ron Ruhl, Pavol Zavarsky Using Healthcare Authority and Patient Blockchains to Develop a Tamper-Proof Record Tracking System. 2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing (HPSC), and IEEE Intl Conference on Intelligent Data and Security (IDS) [8] Weiquan Ni, Xumin Huang, Junxing Zhang, Rong Yu HealChain: A Decentralized Data Management System for Mobile Healthcare Using Consortium Blockchain. Proceedings of the 38th Chinese Control Conference July 27-30, 2019, Guangzhou, China [9] Tomasz Hyla,eHealth Integrity Model Based on a Permissioned Blockchain 2019 [10] Hannah S Chen,† Juliet T Jarrell,† Kristy A Carpenter, David S Cohen, and Xudong HuangBlockchain in Healthcare: A Patient-Centered Model**
Priyanka S, Yuvasri G, Julia Faith S "Transforming Healthcare: Blockchain based Digitized Medical Prescription Tracking" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 3, March 2020, pp.22-24 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue3/22-24.pdf
Ibrahim Inuwa Musa, Musa Mohammed, Ashiru Muhammad Aliyu, Sanusi Abdulmumini Usman, Adamu Sani Abubakar·March 2020·pp. 25-31
Infrastructure deficit has prevented development and economic growth and PPP was introduced to close the gap. The aim of the study is to examine the challenges facing the smooth implementation of PPP in Zaria Pharmaceuticals Industry (ZPI). Objective is to determine a PPP model adjudged most suitable for application in ZPI project based on the project peculiarity. The research design employed was the quantitative method and structured questionnaire was adopted and administered to the parties involved in the concession. Purposive sampling technique was used in selecting 25 respondents and only 22 responses were used for data analysis. Descriptive statistics and non-parametric statistic Chi square were used for the analysis. The study recommends that both public and private parties should encourage private participation in infrastructure provision in every sector thereby creating an enabling environment for investors The study further recommends, with respect to the overall Mean Score (MS), the top 3 suitable PPP model with high probability of occurrence are: DBFT, IM/IS and BOT. Although, among these top three suitable PPP model, there were significant differences of opinion between the groups under DBFT, as their associated significant value (Asymp. Sig. value) of 0.030 which is less than 0.05. DBFT as one of the PPP Suitable model that would Increase the transparency and capability of building within the ZPI.
Ibrahim Inuwa Musa
Department of Building Technology, Faculty of Environmental Technology, Abubakar Tafawa Balewa University, PMB 0248, Bauchi, Nigeria
Musa Mohammed
Department of Building Technology, Faculty of Environmental Technology, Abubakar Tafawa Balewa University, PMB 0248, Bauchi, Nigeria
Ashiru Muhammad Aliyu
Department of Building Technology, Faculty of Environmental Technology, Abubakar Tafawa Balewa University, PMB 0248, Bauchi, Nigeria
Sanusi Abdulmumini Usman
Department of Building Technology, Faculty of Environmental Technology, Abubakar Tafawa Balewa University, PMB 0248, Bauchi, Nigeria
Adamu Sani Abubakar
Department of Building Technology, Faculty of Environmental Technology, Abubakar Tafawa Balewa University, PMB 0248, Bauchi, Nigeria
**[1] Adeniyi, O., Aje, I. O., and Ogunsemi, D. R.(2011) Strengths, Weaknesses,Opportunities, And Threats For Public-Private Partners In Infrastructure Delivery In Nigeria Journal of Construction Project Management and Innovation Vol, 1 (2): 130 – 154. [2] Adesanya, O., (2008) Project Procurement Paths, The Journal of the Federation of Construction Industry, Vol , 23, No.3, pp. 6-21. [3] Adesile, I., Nordin, M,S., Kazmi,Y.,&Hussein,S (2016) Validating Academic Intergrity Survey AIS : An Application Of Exploratory And Confirmatory Factors Analytical Procedure. Journal of academic ethics, 14(2), 149-167 [4] African Development Bank(AFDB) (2011). AFDB Approves USD 34 million for Nigeria’sPPPInfrastructureCapacity Development.(Online).Availableathttp://www.afdb.orgn/ Snews-and-events/article/afdbapproves-usd34-million-fornigeria-ppp-infrastructurecapacitydevelopment-78091. Accessed on 25.11. 2016 [5] Akerele, D (2001) The effect of culture on project delivery in Nigeria, Unpublished Dissertation, University of Brighton, Project management for construction degree. [6] Akerele, D., & Gidado, K. (2003). The risks and constraints in the implementation of PFI/PPP in Nigeria.In Proceedings of 19th Annual ARCOM Conference (Vol. 1, pp. 379-391). [7] Akintoyeet al. (2001), Framework for risk assessment and risk management in PFI projects, Glasgow Caledonian University [8] Alfen, H. W., Kalidindi, S. N., Ogunlana, S., Wang, S., Abednego, M. P., Frank-Jungbecker, A.,.& Zhao, G. (2009). Public-private partnership in infrastructure development: Case from Asia and Europe. Schriftenreihe der ProfessurBetriebswirtschaftslehreimBauwesen/Series of the Chair Construction Economics, 7. [9] Alitheia, C. (2010), Public Private Partnerships (PPPs) – The Effective Mechanism for Delivering Infrastructure, available at: www.thealitheia.com/newsletters/Alitheia%20Capital%REInsight%20-%20Nov%202010.pdf (retrieved 19 November 2016). [10] Arendse, K. B. (2012). Improving service delivery in the public sector through strategic cost management: the case of public private partnership in South Africa(Doctoral dissertation, University of Cape Town). [11] Aibinu, A. A. and Jagboro, G. O. (2002). “The effects of construction delays on project delivery in Nigerianconstruction industry.”International Journal of Project Management, 20, 593–599. [12] Aniekwu, A (1995) The business environment of the construction industry in Nigeria. Construction Management and Economics, 13, 445 - 455. Addressing Access to Pharmaceuticals in Low Income, Countries: Uganda Pilot Study.Initiative on Public-Private Partnerships for Health, Global Forum for Health Research.International CenterCointrin (ICC), Switzerland. [13] Ashworth, A. and Hogg, K., (2007) Willis’s Practice and Procedure for Quantity Surveyor,Blackwell Publishing Ltd, Oxford, UK. [14] Awodele, O.A; Ogunlana, S.O and Motawa I. (2010) Understanding and Managing Risks Necessary Condition for success and sustainability of Privately Fnanced Market Projects in Nigeria. Proceedings of ARCOM Doctoral Researcher 288 Workshop on Sustainability Strategies in the UK Construction Industry at University of Wolverhampton on 25th June. [15] Babatunde, S. (2015). Developing public private partnership strategy for infrastructure Delivery in Nigeria (Doctoral dissertation, Northumbria University). [16] Babatunde, O.S., Opawole, A. and Akinsiku, O. E. (2012).Critical Success Factors inPublic-Private Partnership (PPP) on Infrastructure Delivery in Nigeria. Journal of Facilities Management, 10(3): 14, 212-225. [17] Babatunde, O.S., Opawole, A. and Ujaddugbe, I.C., (2010). An appraisal of project procurement methods in Nigerian construction industry. Civil engineering dimension vol 12 No 1, pp 1-3. [18] Babatunde, S. O., Perera, S., Udeaja, C., &Zhou, L. (2014). Journal of Info. [19] Bennet (1999), Public/Private Partnership for the Urban Environment, Working Paper Series Volume1, Yale UniversityCheunget al (2012). A Comparative Study of Critical Success Factors for PPP between Mainland China and the Hong Kong Special Administrative Region, Special Issue on Facility Management Development, 30(13/14) 647-666 [20] Cheung, E., Chan, A. P., &Kajewski, S. (2009). Reasons for implementing public privatepartnership projects: Perspectives from Hong Kong, Australian and British practitioners. Journal of Property Investment & Finance, 27(1), 81-95. [21] Colverson S (2011). Sustainable Development: Is there a Role for Public–Private Partnerships? A summary of an IISD Preliminary Investigation. Available online at http://www.iisd.org/markets/procurement.Retrieved on 19 November 2016 [22] Colverson S (2012). Harnessing the Power of Public-Private Partnerships: The Role of Hybrid FinancingStrategies in Sustainable Development. Available online at http://www.iisd.org/markets/procurement.Retrieved on 19 Nov 2016 [23] Dada, M.O. and Oladokun, M.G. (2012). Analysis of Critical Success Sub-Factors for Public-Private Partnership in Nigeria:Alam-cipta, 5(2): 13-26 [24] Dada, M.O., and Oladokun, M.G. (2008). Critical Success Factors for PublicPrivate PartNership Projects in Nigeria: A Perceptual Survey. Proceedings of CIB W065/055 Commission on Transformation through Construction, Dubai; UAE, 15-17 November, 2008 (Online). [25] Dada, M. O., &Oladokun, G. B. (2008). Critical success factors in public-private-partnership projects in Nigeria: A perceptual Survey. Transformation through construction: Joint, 1-10. [26] Diba H.R (2012). CSFs for PPP in the Kenyan Road Sub-Sector, Unpublished Master’s Research Project,University of Nairobi. 24-36 [27] Danraka B.N (2014) Assessing the Effectiveness of Public Private Partnership (Ppp) Procurement Model for Infrastructure Development in Nigeria Unpublished Master’s Research Project,ABU Zaria [28] Davenport, D. (1994) ‘Assessing the efficiency of international procurement systems in order to improve client satisfaction with construction investment – the French experience’,in S.M. Rowlinson (ed.) East meets west: proceeding CIB W92 Procurement SystemsSymposium, University of Hong Kong, Hong Kong, CIB publication 175,43 –51 [29] Delmon, J., (2005). Project Finance BOT Projects And Risk. Kluwer Law International [30] Deloitte Research, (2006).Closing American’s Infrastructure Gap: The Role of Public-Private Partnership. (Online). Available at www.deloitte.com/assets/Dcom-UnitedStates/---/us-ps- PPPUS\_final(1).pdf. [31] Edelenbos, J., &Klijn, E. H. (2007). Trust in complex decision-making networks a theoretical and empirical exploration. Administration & Society, 39(1), 25-50. [32] Egbewole, Q.A. (2011).Examining Public-Private Partnership in Nigeria: Potentials and Challenges. LLB Long Essay of SUniversity of Ilorin, Ilorin. [33] Emmanuel 0., (2014). CSFs Determining the Implementation of PPPs, Covenant Journal of Research in the Built Environment, 1(2), 41-66. [34] Essia, U., & Yusuf, A. (2013). Public-Private-Partnership and Sustainable Development of Infrastructures inAdvances in Management and Applied Economics, 3(6), 113. [35] Fathali, E., & Ibrahim, H. (2015). Private Partner Selection and Bankability Assessment of PPP in Infrastructure Projects (Doctoral dissertation, Concordia University). [36] Fakhredaei, N., (2007). Factors Affecting Adoption the of CRM atthe Organization Level in Iran [37] Franks J, (1998), Building Procurement Systems – A Clients Guide, 3rd Edn, CI0B, Ascot. [38] Gidado, K. (1996) ‘Political and economic development in Nigeria, what procurement system is suitable’, in R.Taylor (ed) North meets south: proceeding of CIB W92 Procurement Systems Symposium , University of Natal, Durban, 160-8. [39] Haug, B. E. (2015). Third-Party Administrators in Public-Private Partnerships: A Multiple Case Study. [40] Hussen, M. (2013). Public-Private Partnerships (PPPs) as Collective Action for ImprovedUrban Environment Governance in Ethiopia.Journal of Economicsand Sustainable Development, 4(10), 59-66. [41] Hodge, Graeme.,(2005). “Public Private Partnerships and Legitimacy”, UNSW Law Journal.29(3).pp.318-327. [42] Li, B., Akintoye, A., Edwards, P.J. and Hardcastle, C. (2005), “Critical success factors for PPP/PFI projects in the UK construction industry”, Journal of ConstructionManagement and Economics, Vol. 23, pp. 459-71. [43] Laegreid, P., & Christensen, T. (Eds.). (2013). Transcending new public management: the transformation of public sector reforms. Ashgate Publishing, Ltd.. [44] ICRC Act 2005 called (ICRC Act). Available online www.icrc.gov.ng Retrieved on July ,2016 [45] Ismail, S. (2013). Critical success factors of public private partnership (PPP) implementation in Malaysia. Asia-Pacific Journal of Business Administration, 5(1), 6-19. [46] Ismail, S., &AzzahraHaris, F. (2014). Constraints in implementing public private partnership (PPP) in Malaysia.Built Environment Project and Asset Management, 4(3), 238-250. [47] Jamali, D. (2004). Success and failure mechanisms of public private partnerships (PPPs) indeveloping countries: Insights from the Lebanese context. International Journal of Public Sector Management, 17(5), 414-430. [48] Jefferies, M.C., Gameson, R. and Rowlinson, S. (2002), “Critical success factors of the BOOTprocurement system: reflections from the stadium Australia case study”, Engineering,Construction and Architectural Management, Vol. 9 No. 4, pp. 352-61.. [49] Kothari, C.R., (2004) Research Methodology: Methods And Techniques. New age [50] Ke, Y., Wang, S., Chan, A. P., & Lam, P. T. (2010). Preferred risk allocation in China’spublic–private partnership (PPP) projects. International Journal of Project Management, 28(5), 482-492. [51] Khoshgoftar, M., Bakar, A. H. A., & Osman, O. (2010). Implementation of ppp construction projects. International Journal of Construction Management, 10(2), 53-69. [52] McQuaid, R. W., &Scherrer, W. (2010). Changing reasons for public–private partnerships (PPPs).Public Money & Management, 30(1), 27-34. [53] Mols, F. (2010). Harnessing market competition in PPP procurement: the importance of periodically taking a strategicview. Australian Journal of Public Administration, 69(2), 229-244. [54] Maeno, Y., &Ohsawa, Y. (2009). Analysing covert social network foundation behind terrorism disaster. International Journal of Services Sciences, 2(2), 125-141. [55] Nehemiah. Y., S., Maren, M., Daniel E., M.,A.,Dorcas, O., A.,( 2016) A Review of Public-Private Partnership for Building and Infrastructure Procurement in NigeriaDeveloping Country Studies www.iiste.org (Online) Vol.6, No.2, [56] Nigeria PPP Review (2012) available online at http www.npr.gov.ng retrieved on July 2016 [57] Ng, A., &Loosemore, M. (2007). Risk allocation in the private provision of public infrastructure. International Journal of Project Management, 25(1), 66-76. [58] OlusolaBabatunde, S., Opawole, A., & Emmanuel Akinsiku, O. (2012). Critical success factors in public-private partnership (PPP) on infrastructure delivery in Nigeria. Journal of facilities management, 10(3), 212-225. [59] Ogunsanmi, O.E. and Bamisele, A., Factors Affecting the Selection of Project Procurement Methods, Builder Magazine, Vol.12, No.1 April/May 1997, pp. 11-16.. [60] Oyegoke, A.S.(2001), Construction Management Contracting Systems in the UK and US Practices: Consulting and Contracting Perspectives, Journal of the Nigerian Institute of Quantity Surveyors Vol. 34, pp. 22-34. [61] President Umaru Musa Yar’Adua GCFR (2008) Address by His Excellency, at the Inauguration of the Board of the Infrastructure Concession RegulatoryCommission (ICRC) in November 27, 2008. available at [62] Raisbeck, P., Duffield, C., & Xu, M. (2010). Comparative performance of PPPs and traditional procurement in Australia.Construction Management and Economics, 28(4), 345-359 [63] Richard, J., Luqman, O., &Nurayn, A. (2015). Impact of procurement methods and project types on construction projects performance. Built Environment Journal, 12(2), 50-60 [64] Sunjka, B. P., & Jacob, U. (2013, June). Significant causes and effects of project delays inthe Niger delta region, Nigeria.In Southern African Institute of Industrial Engineering 2013. [65] Susilawati, C., Armitage, L. and Skitmore, M. (2005). Partnerships inn affordable housing: The impact of conflicting investment criteria.In Proceedings QUT Research Week, 966-978, Brisbane. [66] Simpson, W. (1992). The point-to-point protocol (PPP) for the transmission of multi-protocol datagrams over point-to-point links. [67] Solomon OlusolaBabatunde, SrinathPerera, Chika Udeaja and Lei Zhou (2014) Challenges of Implementing Infrastructure Megaprojects through Public-Private Partnerships in Nigeria: A Case Study of Road Infrastructure International Journal of Architecture, Engineering and Construction Vol 3, No 2, 142-154 [68] The Nation, (2013). PPPinfrastructuredeficit.(Online). Available at thenationonli neng.net.Home.Business [69] Taddese, H. (2015). Cross-sectoral Partnerships in Real-Life: A case study of the Global Fund’s Country Coordinating Mechanism (CCM) in Ethiopia (Doctoral dissertation, University of Sheffield). [70] UNCITRAL (2001); Legislative Guide on Privately Financed Infrastructure Projects. Documentprepared by the United Nations Commission on International Trade law [71] United Nation Department for Economic and Social Affairs DESA, 2009. [72] U.S. Department of Transportation (USDOT, 2004), Report on congress on public private partnerships Rep., Washington, D.C. [73] Velmurugan, V., &Srithar, K. (2011). Performance analysis of ppp stills Based on various factors affecting the productivity—areview. Renewable, 15(2), 1294-1304. [74] Wang, W., Dai, D. S., & Wang, D. B. (2011, August). The Research on Index System of Concessionaire Selection in Traffic BOT Projects. In Management and Service Science (MASS), 2011 International Conference on (pp. 1-4). IEEE. [75] Weber, B., Staub-Bisang, M., &Alfen, H. W. (2016). Infrastructure as an Asset Class: Investment Strategy, Sustainability, Project Finance and PPP. John wiley& sons. [76] Xiong, T. Zeng, D. and Cheng, F. (2006). Critical Success Factors of Infra structure projects Under PPP Model in China.Available online (http://www.corp.at).Retrieved july, 2016 [77] Yang, J. B., Yang, C. C., & Kao, C. K. (2010). Evaluating schedule delay causes for private participating public construction works under the Build-Operate-Transfer model. International Journal of Project Management, 28(6), 569-579. [78] Zhang, X. R. (2005) Critical success factors for public private partnerships in infrastructure development, Journal of Construction Engineering Management, ASCE, 131(1), 3-14 [79] Zou, W., Kumaraswamy, M., Chung, J., & Wong, J. (2014). Identifying the critical success factors for relationship management in PPP projects. International Journal of Project Management, 32(2), 265-274. [80] Zwikael, O., &Globerson, S. (2006). From critical success factors to critical success processes. International Journal of Production Research, 44(17), 3433-3449.**
Ibrahim Inuwa Musa, Musa Mohammed, Ashiru Muhammad Aliyu, Sanusi Abdulmumini Usman, Adamu Sani Abubakar, "Challenges of Public Private Partnership (PPP) Implementation on Infrastructural Development: A Study of Pharmaceutical Industry in Zaria Kaduna State, Nigeria" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 3, March 2020, pp.25-31 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue3/25-31.pdf
Khaled Ramzy, Mohammed Alswat·March 2020·pp. 32-40
A prototype of a natural convection conical solar dryer was designed, fabricated and tested at mechanical engineering department at Suez Canal University, Egypt for drying products. The conical solar dryer consists of a conical collector and a drying chamber. Another common natural convection box-type solar dryer was built and tested to compare with the conical one. The traditional sun drying experiments was employed and compared with the two solar-drying units. The conical solar dryer performance was evaluated with cone height to diameter ratio of unity. The experiments of the tested solar dryers were conducted during the month of June 2019. The experimental measurements such as drying air temperatures, moisture content and system drying efficiency were recorded during the working days. Grapes were used as a drying material with an initial weight of 2 kg divided into the four trays. It was found that, the natural convection conical solar dryer reduced the drying time and has a better performance compared with the box-type solar dryer. Also the maximum recorded drying system efficiency was 30% and 44% for box-type solar dryer and conical solar dryer respectively. The daily drying efficiency for box-type and conical solar dryer were 24.3%, 12.87% and 9.93% for the box-type solar dryer for days of 10, 11 and 12/6/2019 respectively and the corresponding values for conical solar dryer were 37.4%, 33.65% and 20.8% respectively. Finally at grapes moisture content of 10% dry basis the drying time was reduced to 23.4% and 45.3% compared with the open sun drying for box-type and conical solar dryer respectively
Khaled Ramzy
Department of Mechanical Engineering, Suez Canal University, Ismailia, Egypt
Mohammed Alswat
Department of Mechanical Engineering, University of Tabuk
**[1] Ekechukwu O. V. and Norton B., (1999), "Review of Solar-Energy Drying Systems Ii: An Overview of Solar Drying Technology", Energy Conversion and Management, 40, PP. 615–655. [2] Fadhel A, Kooli S, Farhat A and Bellghith A, (2005), "Study of The Solar Drying of Grapes By Three Different Processes", Desalination 185, PP. 535–541. [3] Pangavhane D. R. and Sawhney R. L., (2002), "Review of Research And Development Work on Solar Dryers for Grape Drying", Energy Conversion and Management 43, PP.45–61. [4] Fuller R. J. and Charters W. W. S., (1997),"Performance of A Solar Tunnel Dryer with Microcomputer Control", Solar Energy Vol. 59 (4–6), PP. 151– 154. [5] Farhat A., Kooli S., Kerkeni C., Maalej M, Fadhel A. and Belghith A., (2003), "Validation Of A Pepper Drying Model In A Polyethylene Tunnel Greenhouse", Int. J. Thermal Sci. 43(1). [6] Jairaj K.S., Singh S. B. and Srikant k., (2009), "A Review Of Solar Dryers Developed For Grape Drying Solar Energy", 83 PP. 1698–1712. [7] Sharma V. K., Sharma S., Ray R. A. and Garg H. P., (1986), "Design And Performance Of A Dryer Suitable For Rural Applications", Energy Conversion and Management 26 (1), PP. 111–119. [8] El-Sebaii A. A., Aboul-Enein S, Ramadan M. R. I. and El-Gohary H. G., (2002), "Experimental Investigation Of An Indirect Type Natural Convection Solar Dryer", Energy Convers Manage, Vol. 43, PP. 2251–2266. [9] Diamante L. M. and Munro P. A., (1993), "Mathematical Modeling Of The Thin Layer Solar Drying Of Sweet Potato Slices", Solar Energy, Vol. 51, PP. 271–276. [10] Muhlbauer W., (1986), "Present Status of Solar Crop Drying", Energy in Agriculture, Vol. 5, P. 121. [11] Esper A. and Muhlbauer W., (1996), "Solar Tunnel Dryer", Plant Research and development, Vol. 4, PP. 16- 64. [12] Koyuncu T., (2006), "Performance Of Various Design Of Solar Air Heaters For Crop Drying Applications", Renew Energy, 31, PP. 1073–1088. [13] Chua K. J., Mujumdar A. S., Hawlader M. N. A., Chou S. K. and Ho J. C., (200). "Batch Drying Of Banana Pieces—Effect Of Stepwise Change In Drying Air Temperature On Drying Kinetics And Product Colour", Food Res. Int.; 34, PP. 721–31. [14] El-Shiatry M. A., Muller J. and Muhlbauer W., (1991), "Drying Fruits and Vegetables with Solar Energy in Egypt", AMA, Vol.4, PP. 61-64. [15] Taylor U. J. and Weir A. D., (1985), "Simulation of a Solar Timber Dryer", Solar Energy, Vol. 3, PP. 249–255. [16] S.Vijaya Venkata Raman, S. Iniyan, and Ranko Goic, A review of solar drying technologies, Renewable and Sustainable Energy Reviews, Volume 16, Issue 5, June 2012, PP.2652-2670 [17] A.A. El-Sebaii and S.M. Shalaby, Experimental investigation of an indirect-mode forced convection solar dryer for drying thymus and mint, Energy Conversion and Management, Vol. 74, 2013, PP. 109-116 [18] Fevzi Gulcimen, Hakan Karakaya and Aydın Durmus, Drying of sweet basil with solar air collectors, Renewable Energy, Vol. 93, 2016, PP. 77-86 [19] A.E.Kabeel and Mohamed Abdelgaied. Experimental evaluation of a two-stage indirect solar dryer with reheating coupled with HDH desalination system for remote areas, Desalination, Volume 425, 2018, PP. 22-29 [20] Ashif Perwez and Rakesh Kumar, Thermal performance investigation of the flat and spherical dimple absorber plate solar air heaters, Solar Energy, Vol. 193, 15 2019, PP. 309-323. [21] Ataollah Khanlari, Adnan Sözen, Ceylin Şirin, Azim Doğuş Tuncer and Afsin Gungor, Performance enhancement of a greenhouse dryer: Analysis of a cost-effective alternative solar air heater, Journal of Cleaner Production, Vol. 251, 2020, PP. 119672. [22] Gbaha P, Yobouet Andoh H, Kouassi Saraka J, Koua Kamenan B and Toure´ S, (2007), "Experimental Investigation Of A Solar Dryer With Natural Convective Heat Flow". Renewable Energy, 32, PP. 1817–1829. [23] Boughali S., Benmoussa H., Bouchekima B., Mennouche D., Bouguettaia H. and Bechki. D., (2009), "Crop Drying By Indirect Active Hybrid Solar – Electrical Dryer In The Eastern Algerian Septentrional Sahara", Solar Energy, Vol. 83, PP. 2223–2232. [24] Bena, B., Fuller, R. J., (2002), "Natural Convection Solar Dryer with Biomass Backup Heater", Solar Energy 72, PP. 75–83. [25] Nadeau J. P. and Puiggali J. R., "Drying of the physical processes to the industrial processes", In, Fadhel A., Kooli S., Farhat A., and Bellghith A., (2005), "Study Of The Solar Drying Of Grapes By Three Different Processes", Desalination, Volume 185, Issues 1-3, PP. 535-541. [26] Bala B. K., Mondol M. R. A., Biswas B. K., Das Chowdury B. L., and Janjai, S., (2003), "Solar Drying Of Pineapple Using Solar Tunnel Drier", Renewable Energy,V. 28, Issue 2, PP. 183–190.**
Khaled Ramzy, Mohammed Alswat "Performance of a Natural Convection Conical Solar Dryer: An Experimental Approach" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 3, March 2020, pp.32-40 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue3/32-40.pdf
Dr. H.C. Srinivasaiah, Thanusha K M, Meenakshi Ramesh, Shivangini Kant, Rashmi S. Shirolkar·March 2020·pp. 41-44
The very cause of environmental issues is air pollution, which should be considered as a factor that should be monitored and controlled. A recent survey informs us that nearly 5 million deaths were caused in 2017 due to air pollution. It causes many diseases like diabetes, heart attacks, chronic lung cancer, and various respiratory disorders. In this project, we are making an effort to measure and control the same pollutants using Internet of Things (IoT).The web of physical objects containing the embedded technology that is developing man to machine or machine to machine communication is Internet of Things. This paper concentrates on providing a stand-alone system that can provide a dynamic datasheet about parameters of the entire city environment. A low cost power ARM based mini-computer, that is, Raspberry Pi is used in this system which is capable of communicating through an external Wi-Fi module or Local Area Network(LAN).Python language is used to take in and process the commands from user at the Raspberry Pi. Other terminal devices with internet facilities like laptop, mobile phones, etc can be used to access data. The above framework will be accessing real time data concentrated on Urban environments like – harmful pollutants in air, carbon monoxide, carbon dioxide, pressure, temperature and humidity.
Dr. H.C. Srinivasaiah
Department of Telecommunication Engineering, Dayananda Sagar College Of Engineering, Shavige Malleshwara Hills, Kumaraswamy Layout, Bangalore-560078, India
Thanusha K M
Department of Telecommunication Engineering, Dayananda Sagar College Of Engineering, Shavige Malleshwara Hills, Kumaraswamy Layout, Bangalore-560078, India
Meenakshi Ramesh
Department of Telecommunication Engineering, Dayananda Sagar College Of Engineering, Shavige Malleshwara Hills, Kumaraswamy Layout, Bangalore-560078, India
Shivangini Kant
Department of Telecommunication Engineering, Dayananda Sagar College Of Engineering, Shavige Malleshwara Hills, Kumaraswamy Layout, Bangalore-560078, India
Rashmi S. Shirolkar
Department of Telecommunication Engineering, Dayananda Sagar College Of Engineering, Shavige Malleshwara Hills, Kumaraswamy Layout, Bangalore-560078, India
**[1]. Shete, Rohini, and Sushma Agrawal, "IoT based urban climate monitoring using Raspberry Pi", IEEE International Conference .In Communication and Signal Processing (ICCSP), 2016, pp. 2008-2012. [2]. Jha, Mukesh, Prashanth Reddy Marpu, Chi-Kin Chau, and PeterArmstrong, "Design of sensor network for urban micro-climate monitoring", First IEEE International Conference In Smart Cities(ISC2), 2015, pp. 1-4. [3]. Baralis, Elena, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, and Mohammad Reza Kavoosifar, "Analyzing air pollution on the urban environment", 39th IEEE International Convention. In Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2016, pp. 1464-1469. [4]. Marinov, Marin B., Ivan Topalov, ElitsaGieva, and Georgi Nikolov, "Air quality monitoring in urban environments", 39th IEEE International Spring Seminar In Electronics Technology (ISSE), 2016, pp. 443-448. [5]. Liu, X., &Baiocchi, O. (2016, October) "A comparison of the definitions for smart sensors, smart objects and Things in IoT”. 7th IEEE Conference In Information Technology, Electronics and Mobile Communication(IEMCON),pp. 1-4,2016.Shete, Rohini, and Sushma Agrawal, "IoT based urban climate monitoring using Raspberry Pi", IEEE International Conference. In Communication and Signal Processing (ICCSP), 2016, pp. 2008-2012. [6]. F. Ciancetta, B. D. Apice, D. Gallo, and C. Landi, “Plug-n-play smart sensor network with dynamic web service,” Instrumentation and Measurement, IEEE Transactions on, vol. 57, no. 10, pp. 2136–2145, 2008. [7]. O. Postolache, J. D. Pereira, P. Girao et al., “Smart sensors network for air quality monitoring applications,” Instrumentation and Measurement,IEEE Transactions on, vol. 58, no. 9, pp. 3253– 3262, 2009. [8]. Grantz, D. A., J. H. B. Garner, and D. W. Johnson. "Ecological effects of particulate matter." Environment international 29, no. 2 (2003): 213-239.Conference in Smart Instrumentation, Measurement and Applications (ICSIMA), November 2013, pp.1-5.**
Dr. H.C. Srinivasaiah, Thanusha K M, Meenakshi Ramesh, Shivangini Kant, Rashmi S. Shirolkar "IOT Based Supervision of Urban Climate Using Raspberry Pi" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 3, March 2020, pp.41-44 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue3/41-44.pdf
Agboola Shamsudeen Abdulazeez, Dr. Nuruddeen Usman, Mamman Adamu Idi, Ushie Gabriel·March 2020·pp. 45-52
Presently researches all over the world are focusing more on ways of utilizing either industrial or agricultural wastes or other natural material as a source of raw materials for the construction industry. However wastes utilization would not only be economical, but may also help to create a sustainable and pollution free environment. Waste glass is a waste by-product from construction activities and from human consumption of beverage which becomes waste from accidental means. Glass powder contains silica alumina and minute iron content. In this paper, waste glass powder has been used to partially replace cement in the ratio of 0%, 5%, 10%, 15% and 20% by volume in concrete and cured in H2SO4 and MgSO4 environment. Specific gravity and bulk density test on waste glass powder were carried out. Setting time test was also carried out. Fresh concrete tests like compaction factor and slump cone test were carried out along-side hardened concrete tests like compressive strength, split tensile strength. The result shows that 10% replacement of cement with waste glass powder shows increased strength as compared to control concrete and it is considered as optimum percentage replacement.
Agboola Shamsudeen Abdulazeez
M.Tech Student, Department of Building, Abubakar Tafawa Balewa University Bauchi, Nigeria
Dr. Nuruddeen Usman
Department of Building, Abubakar Tafawa Balewa University Bauchi, Nigeria
Mamman Adamu Idi
Department of Building, Abubakar Tafawa Balewa University Bauchi, Nigeria
Ushie Gabriel
M.Tech Student, Department of Building, Abubakar Tafawa Balewa University Bauchi, Nigeria
**[1] Domme, P. and Illston, J. (2010), Construction Material Their Nature and Behaviour. New York: Spous Press. [2] Fernanda, G. S., Jefferson, B. L. L. and Paulo, H. (2008). Improvement of Physical and Chemical Properties of Concrete with Brazillian Silica Rice Husk (SRH). Construction Journal, 23(1), 18-25. [3] Mohammad, N. F., (2010). Performance of Concrete by Using Pulverized Fuel Ash (PFA) as Cement Replacement Material. Unpublished B.Sc Project. Department of Civil Engineering and Earth Resources, University of Malaysia Pahang. [4] Imbabi. S.M., Carrigan. C. and Mckenna S. (2012). “Treand and Developments in Grean Cement and Concrete Technology”, International Journal of Sustainable Built Environment.1(2), 194-216. [5] Ogunbode, E. B. and Hassan, I. O. (2011). Effect of Addition of Calcium Nitrate on Selected Properties of Concrete Containing Volcanic Ash. Leonardo Electronic Journal of Practice and Technologies, 29-38. Retrieved Date: January 16, 2019, from http://www.lejpt.academicdirect.org. [6] Dadu, D. W. (2011). Investigation into Pozzolanic Characteristics of Jos Plateau Volcanic Deposits for Partial Replacement of Portland Cement in Concrete. Unpublished Ph. D Dissertation Work. Department of Building Faculty of Environmental Design, Ahmadu Bello University Zaria, Nigeria. [7] Peter, D. and John, I. (2010). Construction Materials – Their nature and behavior. New York, USA: Spon Press. [8] Reddy, D.V.and Marcelina, A. (2006). “Marine Durability Characteristics of Rice Husk Ash-Modified Reinforced Concrete. Breaking Frontiers and barriers in engineering: Education Research and Practice. Mayaguez Puerto Rice. [9] Shetty, M. S. (2009). Concrete Technology; Theory and Practice, S Chad and Company, New Delhi, India, 174-418. [10] Allahverdi A. and Skvara F. (2005). “Sulphuric attack on hardened of geopolymer cements Part 1”, Mechanism if corrosion at relatively high concentrations. Ceramics – Silikaity 49 (4), 225-229. [11] Ahmed, I (1993). Use of waste materials in highway constructions. Noyes Data Corporation, New Jersey, p. 114. [12] Gopalakrishnan R., Govindarajan D., (2011) “Compressive strength and electron paramagnetic resonance studies on waste glass admitured cement” New J. Glass Ceram. 1 (03) 119. [13] Agboola S.A., Mamman A.I., Musa A.K. and Bappah H. (2020). Effect of Waste Glass Powder as a Pozzolanic Material in Concrete Production. International Journal of Engineering Research and Technology. Vol. 9, Issue 02, Pp. 589 – 594, ISSN: 2278-0181. 3 February 2020. [14] Meyer, C., Egosi, N., and Andela, C., (2001)“Concrete with Waste Glass as Aggregate” in “Recycling and Re-use of Glass Cullet”, Dhir, Dyer and Limbachiya, editors, Proceedings of the International Symposium Concrete Technology Unit of ASCE and University of Dundee, March 19-20. [15] Ling, T. C., Poon, C. S., Wong, H. W., (2013) “Management and recycling of waste glass in concrete products: Current situations in Hong Kong”, Resources, Conservation and Recycling, 70, pp 25-31. [16] Federio.L.M and Chidiac S.E, (2010) “Waste glass as a supplementary cementitious material in concrete – Critical review of treatment methods”, Cement and Concrtet Composites, vol, 31,pp. 606-610. [17] Patel, D., Yadav, R. K., Chandak, (2012) R., “Strength Characteristics of Cement Mortar Paste Containing Coarse and Fine Waste Glass Powder”, International Journal of Engineering Sciences Research-IJESR, Vol 03(02). [18] Bhandari, P. S., Tajne, K. M., (2013) “Use of waste glass in cement mortar, International Journal of Civil and Structural Engineering”, Volume 3(4). [19] Vijayakumar, G., Vishaliny, H., Govindarajulu, D.,(2013) “Studies on Glass Powder as Partial Replacement of Cement in Concrete Production”, International Journal of Emerging Technology and Advanced Engineering, Volume 3(2). [20] ASTM C143, 2005. "Standard Test Method for Slump of Hydraulic – Cement Concrete". [21] British Standard European Norm, (2000). Testing hardened concrete; Density of hardened concrete. BS EN 12390-7, BSI, Linfordwood, Milton Keynes MK14 6LE, U.K. [22] British Standards Institution, BS 1881: Part 116 (1983) Method for determination of Compressive Strength of Concrete Cubes. London, BSI. [23] British Standard European Norm, (2009). Testing hardened concrete; Tensile splitting strength of test specimen. BS EN 12390-7, BSI, Linfordwood, Milton Keynes MK14 6LE, U.K. [24] Monteiro, P. J. M. (Anonymous). Durability. Unpublished Lecture Note. Department of Civil Engineering University of California Berkeley USA. [25] British Standard, (1995). Testing aggregates; Methods of determination of density. BS 812-2, BSI, Linfordwood, Milton Keynes MK14 6LE, U.K. [26] British Standard, (1975). Testing aggregates; Methods of determination of particle size and shape. BS 812-1, BSI, Linfordwood, Milton Keynes MK14 6LE, U.K. [27] British Standard European Norm, (1995). Methods of testing cement; Determination of setting time and soundness. BS EN 196-3, BSI, Linfordwood, Milton Keynes MK14 6LE, U.K.**
Agboola Shamsudeen Abdulazeez, Dr. Nuruddeen Usman, Mamman Adamu Idi, Ushie Gabriel "Suitability of Waste Glass Powder as Partial Cement Replacement in Concrete Subject to Chemical Aggressive Environment" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 3, March 2020, pp.45-52 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue3/45-52.pdf
Sunday Segun Olutimayin, Prof. James Olugbenga Aribisala·March 2020·pp. 53-58
Understanding the rainfall process is critical for the solution of several regional environmental challenges of integrated water resources management at regional scales, with implications for agriculture, climate change and natural hazards such as floods and droughts. Statistical modeling and data analysis are the key instruments for studying these processes. The main Objective of this research is to use Time Series Forecasting technique to develop a model for forecast of rainfall in Lokoja based on secondary monthly data obtained from NIMET station in Lokoja, Kogi state. Descriptive summary statistics in the form of centrality and dispersion, time plot, and autocorrelation functions were generated using Minitab statistical software .The Box Jenkins ARIMA modeling procedure (model characterization, model estimation and model validation) was used to determine the best model for the data because ARIMA modeling procedure has been found suitable for seasonal data. Model diagnostics based on residual analysis and hypothesis testing were performed to assess the adequacy of the identified fitted model. The autocorrelation function (ACF) and partial autocorrelation function (PACF) parameters of stationary series were used to identify appropriate model. Final model developed was then used to forecast monthly rainfall for Lokoja .The model application to 2014 data to validate the model for the study area show the reliability of the model. Percentage errors are low for the months of April to October with errors of -8.28%, -7.89%, -8.96%, -8.40%, -5.72%, -8.52% and -8.60% respectively. These are the months for rain fed agriculture and possibility of flooding are focus of this research. The model was fitted using January to December rainfall values and only values for rainfall period. The results of the models are the same. The low percentage errors for rainy season which is the focus of this research makes the model very reliable. Also, the study established that there was a variation over Lokoja within the period under study which shows some evidence of seasonal change in the study area. This shows that the fitted ARMA model developed is good for short term forecast and planning purposes.
Sunday Segun Olutimayin
Department of Civil Engineering, School of Engineering Technology, Kogi State Polytechnic, Lokoja, Nigeria
Prof. James Olugbenga Aribisala
Department of Civil Engineering, Faculty of Engineering, Ekiti State University Ado–Ekiti, Nigeria
**[1]. Adefolalu , D.O. (1986), Rainfall trends in Nigeria journal of theoretical and Applied Climatology, 37 (4):205-219. [2]. Adelekan, I.O (2009): Vulnerability of poor Urban Coastal Communities to Climate Change in Lagos, Nigeria Fifth Urban Research Symposium 2009. [3]. Aderogba, K.A., (2012):Qualitative studies of recent Floods and Sustainable Growth and development of Cities and Towns in Nigeria .International Journal of Academic Research in Economics and Management Sciences June 2012, Vol 1 No.3 ISSN:2226-3624. [4]. Ansari, H. (2013). Forecasting seasonal and annual rainfall based on non-linear modeling with Gamma test in North of Iran, International Journal of Engineering Practical Research, 2 (1): 16-29. [5]. Aribisala , J.O., (2007)Water use forecast for hydro power generation. Journal of Engineering and Applied Sciences 2(1):222-225. [6]. Chatfield, C.(2004).The Analysis of time series, an introduction, Sixth edition: New York, Chapman & Hall/CRC.pp.100-103 [7]. Collischonn, W., Haas, R., Andreolli, I., and Tucci, C.E.M. (2005). Forecasting river Uruguay flow using rainfall forecasting from a regional weather predicted model, Journal of hydrology 4 (1): 87-98. [8]. Engle (1982), Autoregressive conditional Heterodasticity with estimates of Variance of United Kingdom inflation Econometrical (50):987-1008 [9]. Fan and Yao,.Q(2003) Forecasting spot electricity prices A comparison of parametric and semi parametric Time Series models International Journal of forecasting ,2008 Vol 24 issue 4, 744-763 [10]. Federal Republic of Nigeria (2013) North Central States: Kogi State [11]. French, G. and Darand, M. (1992) Forecasting precipitation with Artificial Neural Networks Journal of Applied Sciences (9):1786-1790 [12]. Kogi State Government (2013) http://www.kogistate.org/ (Accessed Dec 20, 2013) [13]. Ogallo,L.A, (1980): Times Series Analysis of rainfall in East Africa. PhD Thesis, Dept. of Meteorology, University of Nairobi Kenya, pp 237-238 [14]. Oguntade, A. Mafimisebi, and Okafor .C.(2011).Analysis of rainfall trend over Nigeria. Retrieved from www.research gate.net [15]. Okorie , F.C Ezedike C.E. and Chibo, C.N Rainfall variability as evidence of climate variation in Imo State of south-eastern Nigeria. International Journal of Sustainable Development 4(9):50-55. [16]. W.M.O. (1990). Statistical Analysis of Series of observations. World Meteorological Organization. W.M.O – No 415 .Geneva, Switzerland. [17]. Weron and Misiorek 2008 A comparison of parametric and Non- parametric Time series models..2014 Vol 2 No 1 18-24 [18]. World Meteorological Organization (W.M.O) Extranet (2015) accessed 20 August 2015,| www.wmo.int**
Sunday Segun Olutimayin, Prof. James Olugbenga Aribisala "Time Series Forecasting of Rainfall in Lokoja, Kogi State, Nigeria " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 3, March 2020, pp.53-58 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue3/53-58.pdf
There are many varieties of the structural and architectural structures in the world. Common features of these structures, it can be managed to survive under static and dynamic loads. In this study, the dynamic characteristics of a model steel bridge with a bolt connection constructed in a 6.10m span and 1.88m height laboratory were determined by finite element method and operational modal analysis methods. In the study, firstly, finite element model was created in SAP2000 software of model steel system and dynamic characteristic were obtained numerically. Then, accelerometer was placed at certain points of the system and dynamic characteristics were determined by operational modal analysis method. As known OMA methods, SSI is used to estimation dynamic parameters of model steel bridge. For this purpose, analytical analysis of the model steel bridge with finite element method and the dynamic parameters obtained as a result of the operational modal analysis of the model steel bridge were compared. The Stochastic Subspace Identification (SSI-PC)is used through output-only modal identification. The modal parameters obtained experimentally were used to calibrate a finite element model of the structure. Based on the eigen ensitivity-based FE model updating procedure a summary of the changes the FEM results to the OMA results is presented graphically and numerically in percent to the initial state of the structure. As seen from the modal updating result MAC values were generated between analytical and experimental mode shapes. Main difference between mode shapes of the FEM and EMA was explained.Modal updating from the MAC that the 90% approach in the mode shapes nearly reached 100% after the ±5% increase in mass density which is made from the material properties (ρ)
Sertaç TUHTA
Ondokuz Mayis University, Faculty of Engineering, Department of Civil Engineering, Atakum, Samsun, Turkey
Hakan AYDIN
Ondokuz Mayis University, Faculty of Engineering, Department of Civil Engineering, Atakum, Samsun, Turkey
Furkan GÜNDAY
Ondokuz Mayis University, Faculty of Engineering, Department of Civil Engineering, Atakum, Samsun, Turkey
**[1] ARTeMISExtractor (1999), Structural Vibration Solutions, Aalborg,Denmark. [2] Bendat, J.S. (1998), Nonlinear Systems Techniques and Applications, Wiley. [3] Dascotte, E., 1990. Practicalapplications of finite element tuningusingexperimentalmodal data, Proc. of the 8th IMAC, s. 1032-1037, Kissimmee, Florida. [4] George K. Georgoussis.2016,Design aspects for minimizing the rotational behavior of setbacks buildings. Earthquakes and Structures, An Int'l Journal Vol. 10 No. 5, 2016 [5] Giraldo, D.F., 2006. A StructuralHealthMonitoring Framework forCivilStructures, Ph.D. Thesis, Washington Universitythe Henry Edwin Server Graduate School Department of CivilEngineering, 167 p. [6] Jung, H., 1992. Structuraldynamic model updatingusingeigensensitivityanalysis, PhDThesis [7] Kasımzade, A.A. and Tuhta S., (2016)."Application of OMA on the Bench-Scale Earthquake Simulator Using Micro Tremor Data", Structural Engineering and Mechanics, Vol. 61, No. 2 (2017) 267-274 DOI: https://doi.org/10.12989/sem.2017.61.2.267 [8] Kasımzade A., Tuhta S., Aydın H., Günday F.- Investigation of Modal Parameters on Model steel Bridge Using EFDD Method,11/2019,Techno-Science, 2nd International Conference on Technology and Science, Burdur [9] Kasımzade A., Tuhta S., Günday F., Aydın H. -Investigation of Modal Parameters on Steel Structure Using FDD from Ambient Vibration, 10 / 2019 , 8th International Steel Structures Symposium, Konya [10] Kasimzade, A.A. (2006), “Coupling of the control system and the system identification toolboxes with application in structural dynamics”, International Control Conference (ICC2006), Glasgow, Scotland, UK, September. [11] Kasimzade, A.A. and Tuhta, S. (2012), “Analytical, numerical and experimental examination of reinforced composites beams covered with carbon fiber reinforced plastic”, Journal of Theoretical and Applied Mechanics, 42(1), 55-70. https://doi.org/10.2478/v10254-012-0004-1 [12] Kasimzade, A.A. and Tuhta S. (2007), “Ambient vibration analysis of steel structure”, Experimental Vibration Analysis of Civil Engineering Structures (EVACES’07), Porto, Portugal, October. [13] Kasimzade, A.A. and Tuhta S. (2007), “Particularities of monitoring, identification, model updating hierarchy in experimental vibration analysis of structures”, Experimental Vibration Analysis of Civil Engineering Structures (EVACES’07), Porto, Portugal, October. [14] Kasimzade, A.A. and Tuhta S. (2009), “Optimal estimation the building system characteristics for modal identification”, 3rd International Operational Modal Analysis Conference (IOMAC), Porto Novo, Ancona, Italy, May. [15] Peeters, B. (2000), “System identification and damage detection in civil engineering”, Ph.D. Dissertation, KatholiekeUniversiteit Leuven, Leuven, Belgium. [16] R Brincker, C Ventura (2015). “Introduction to Operational Modal Analysis” [17] SAP2000 (2010), Integrated Finite Element Analysis and Design of Structures, Computers and Structures Inc., Berkeley, California,USA. [18] Sidhu, J.Ewins, D.J., 1984. Correlation of Finite Element andModal Test Studies of a PracticalStructure, 2nd Int. Modal Analysis Conf, s. 756-762. [19] Tuhta S., Gunday F., Aydın H., (2019),” Dynamic Analysis of Model Steel Structures Retrofitted With GFRP Composites under Microtremor Vibration”, International Journal Of Trend İn Scientific Research And Development (IJTSRD)-Volume: 3-Issue: 2 | Jan-Feb 2019 Available Online: Www.İjtsrd.Com E-ISSN: 2456 – 6470 [20] Tuhta S., Gunday F., Aydın H.- Numerical Algorithms for System Identification of Benchmark Steel Bridge ,7 /2019, ISTE-CE'2019- International Conference on Innovation, Sustainability, Technology and Education in Civil Engineering [21] V. Akrami and S. Majid,(2018),Enhanced least square complex frequency method for operational modal analysis of noisy data. ZamaniEarthquakes and Structures, An Int'l Journal Vol. 15 No. 3, 2018 [22] Van Overschee, P. and De Moor, B.L. (1996), Subspace Identification for Linear Systems: Theory-Implementation- Applications, Springer Science -Business Media. [23] Ventura, C.E. and Schuster, N.D. (1996), “Structural dynamic properties of a reinforced concrete high-rise building during construction”, Can. J. Civil Eng., 23(4), 950-972. [24] Yoshiyuki Fukumoto and Izuru, 2015, Critical earthquake input energy to connected building structures using impulse input. TakewakiEarthquakes and Structures, An Int'l Journal Vol. 9 No. 6, 2015 [25] Zhanzhan Tang, XuXie and TongWang, 2016,Residual seismic performance of steel bridges under earthquake sequence. Earthquakes and Structures, An Int'l Journal Vol. 11 No. 4, 2016 [26] Aydın H. (2020) Obtaining Modal Parameters in Model steel Bridge by System Identification Using Artificial Neural Networks, International Journal of Trend in Scientific Research and Development(IJTSRD),Volume 4 Issue 2,February 2020 Available Online:www.ijtsrd.com e-ISSN:2456-6470 [27] Tuhta, S., &Günday, F. (2019). Multi Input Multi Output System Identification of Concrete Pavement Using N4SID. International Journal of Interdisciplinary Innovative Research Develop ment, 4(1). [28] Tuhta, S., Günday, F., Aydin, H., &Alalou, M. (2019). MIMO System Identification of MachineFoundation Using N4SID.International Journal of Interdisciplinary Innovative Research Development [29] Tuhta, S., &Günday, F. (2019). Mimo System İdentification of İndustrial Building Using N4sid with Ambient Vibration.Inter national Journal of Innovations in Engineering Research and T echnology. [30] Dushimimana, A., Günday, F., &Tuhta, S. (2018).Operational Modal Analysis of Aluminum Model Structures Using Earthquake Simulator. Presented at the International Conference on Innovative Engineering Applications. [31] Günday, F., Dushimimana, A., &Tuhta, S. (2018). Analytical and Experimental Modal Analysis of a Model Steel Structure U sing Blast Excitation. Presented at the International Conference on Innovative Engineering Applications. [32] Tuhta, S., &Günday, F. (2019). Application of Oma on The B ench scale Aluminum Bridge Using Micro Tremor Data. İnter national Journal of Advance Research and Innovative İdeas in Education, 5(5), 912–923. [33] Tuhta, S., Günday, F., &Aydin, H. (2019). Numerical Algorithms for System Identification of Benchmark Steel Structure.Presented at the iSTE-CE’xx2019- International Conference on I nnovation, Sustainability, Technology and Education in Civil E ngineering. [34] Tuhta, S.,Günday,F (2019). Modal Parameters Determination of Steel Benchmark Warehouse by System Identification Using A NN. International Journal of Research and Innovation in Applied Science (IJRIAS) | Volume IV, Issue XII, December 2019|I SSN 2454-6194 [35] Tuhta, S., Günday, F., Alalou M. (2019).Determination of System Parameters on Model Lighting Pole Using ANN by AmbientVibration. International Journal of Research and Scientific I nnovation (IJRSI) | Volume VI, Issue XI, November 2019 | IS SN 2321–2705 [36] Kasimzade, A., Tuhta, S., Aydin, H., &Günday, F. (2019).Determination of Modal Parameters on Model steel Bridge Using Operational Modal Analysis.Presented at the 8th International Steel Structures Symposium, Konya.**
Sertaç TUHTA, Hakan AYDIN, Furkan GÜNDAY "Updating For Structural Parameter Identification of the Model Steel Bridge Using OMA" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.9 issue 3, March 2020, pp.59-68 URL: www.ijltemas.in/DigitalLibrary/Vol.9Issue3/59-68.pdf
