There is now ever increasing demand for fast deployment of network infrastructures as well as for fast transfer of large quantity of data. But this high demand has been greeted with network traffic called congestion. This congestion reduces the performance of the network due to also increase in packet loss. In cause of reducing this rise in the rate of packet loss to enhance the network performance, active queue management (AQM) techniques has been deployed. This AQM are router based technique for detection of traffic early in a computer network. The main ideas behind AQM is to detect traffic in the network and to alert the sender to minimize its rate of sending packets, thereby minimizing the amount of packets sent into the network and so control the impending traffic. In this paper three AQM congestion control algorithm like RED, SFQ, REM, are considered for survey and analysis with their limitations, advantages and disadvantages, in terms of delay, throughput and queue length, etc. The aim of this survey is to analyze three AQM algorithms, to have a clear view the best amongst them and on how to develop a new AQM algorithm (hybrid) that will give a better result compared to these existing algorithms.
- Page(s): 01-08
- Date of Publication: 12 September 2018
- EGBA IFEANYICHUKWU(B.Tech, M.Sc, IITP), River State College of Health Science and Technology, Port Harcourt, Rivers State. Nigeria
- ALALIBO, TAMUNO-OMIE(B.Tech, M.Sc), Rivers State University, Port Harcourt, Rivers State. Nigeria
References
[1]. Chughtai, O., Badruddin, N., Rehan, M., Khan, A., (2017) Wireless Communication and Mobile Computing, Congestion detection and alleviation in multihop wireless sensor networks, vol. () pp. 13. https://doi.org/10.1155/2017/9243019 [2]. D.Lin and R. Morris, (2017) “Dynamics of random early detection,”, ACM SIGCOMM Computer Communication Review, vol. 27,no.4, pp.127-137. [3]. Essays, UK (2013). Studying the Causes of Network Congestion Information Technology Essay, Retrieved from https://www.ukessays.com/essays/information-technology/studying-the-causes-of-network-congestion-information-technology-essay.php?vref=1,datapath.io/resources/blog/10-causes-of-network [4]. IBM knowledge center, (2012). “Congestion Management. Designing a low latency messaging”. [5]. IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 5, No 1, September 2011 ISSN (Online): 1694-0814 www.IJCSI.org 94 [6]. Logan, R., (2016). The negative effect of network congestion problem [7]. Network Simulator Manual, http:www.isi.edu/nsam/ns/index.html. [8]. P.E. Meckenney, (1990) “Stochastic Fair Queuing”, In proceedings of INFCOM, vol. 2, pp. 733-740,. [9]. Prateek Mehrotrat, et al, (2011) “Comparative Analysis of Congestion Control Algorithms Using ns-2” IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 5, No 1, ISSN (Online): 1694-0814 www.IJCSI.org [10]. Prabakaran, N., Prabakaran, R., Shanmuga, R. B., Sarma Dhulipala, V.R., (2011). International Conference on Devices and Communications, Rate optimization scheme for node- level congestion in wireless sensor networks. DOI: 10.1109/ICDECOM.2011.5738548 [11]. S. Floyd and V. Jacobson. Random early detection gateways for congestion avoidance. IEEE/ACM Trans. On Netwoking, vol.1, no.4, pp.397–413, August 1993. [12]. W. Feng, K. G. Shin,, D. D. Kandlur, , and D. Saha,, (2002); “The BLUE Active Queue Management Algorithms,” IEEE/ACM Transaction on Networking, vol. 10, no. 4, pp.513 – 528. [13]. S.Athuraliya, Victor H. Li, Steven H. Low and Qinghe YinK. Elissa, “REM: Active Queue Management,” IEEE Network, vol. 15 ,no.3, pp. 48 – 53, August 2002. [14]. S. Patel, P. Gupta and G. Singh,( 2010) “ Performance Measure of Drop tail and RED,” In proceedings of ICECT , pp. 35 –38. [15]. Palanisamy, A., (2016). “When does network congestion occur?” www.bayt.com/.../when-does-network-congestion-occur [16]. Thrimoorthy, N., Dr. Anuradha, T., (2016) International Journal of Engineering Research and Development, congestion detection approaches in wireless sensor networks: A comparative study, Vol. 12 (3) 59-63
EGBA IFEANYICHUKWU, ALALIBO, TAMUNO-OMIE "Comparative Analysis of Three Active Queue Management (AQM) Techniques (RED, SFQ, REM) in Terms of Their Relative Effectiveness in Controlling Congestion in Networks" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.01-08 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/01-08.pdf
This work deals with comparison of the two axial compressor blades to improve the strength in two different materials using the CFD software. Here Axial Compressor was chosen because of its high efficiency and performance. Titanium and Nickel based alloy was proposed to material and angle of axial compressor blade is 60° & 2.5 mm thickness and 45° & 2 mm thickness was considered for analysis. A detailed flow and structural analysis was carried by CFD software. Results showed that Titanium having more strength compared to Nickel based alloy and more pressure occurred at 60° & 2.5 mm thickness compressor blade.
- Page(s): 09-12
- Date of Publication: 12 September 2018
- T.BharathanAssistant Professor, Department of Mechanical Engineering, Dhanalakshmi Srinivasan Institute of Technology, Trichy, India
- M. T. Jaffar Sathiq AliAssistant Professor, Department of Mechanical Engineering, Dhanalakshmi Srinivasan Institute of Technology, Trichy, India
- D. Pio CasmirAssistant Professor, Department of Mechanical Engineering, Dhanalakshmi Srinivasan Institute of Technology, Trichy, India
- A.SaravananAssistant Professor, Department of Mechanical Engineering, Dhanalakshmi Srinivasan Institute of Technology, Trichy, India
References
[1]. H.I.H. Saravanamuttoo, G.F.C,Rogers and H. Cohen, “Gas Turbine Theory fifth Edition” Pearson Prentice Hall,2001”. [2]. Koduru. Srinivas1 , Kandula. Deepthi 2 “Design and Optimization of Axial Flow Compressor” International Journal of Computational Engineering Research ISSN (e): 2250 – 3005, Vol, 04 Issue, 10, October 2014. [3]. K.M.Pandey, S.Chakraborty “CFD Analysis of Flow through Compressor Cascade” International Journal of Soft Computing and Engineering ISSN: 2231-2307, Volume-2, Issue-1, March 2012. [4]. Reza Aghaei tog, A. Mesgharpoor Tousi “Design and CFD analysis of centrifugal compressor for a micro gas turbine” Aircraft Engineering and Aerospace Technology - January 2007. [5]. Sheik Ghouse .M, P. Manivannan “Computational Analysis of Compressor Blade” International Journal of Innovative Research in Science, Engineering and Technology Vol. 4, Issue 3, March 2015. [6]. Akinola A “CFD Modelling of Wakes on Cascade Compressor Blades” International Journal of Advances in Science and Technology Vol. 4, No.2, 2012. [7]. Florin Iancu “Numerical Analysis of Blade Geometry Generation Techniques for Centrifugal Compressors” International Journal of Rotating Machinery Volume 2007, Article ID 48683. [8]. Graham, R.W. and Guentert, E.C., “Compressor Stall and Blade Vibration,” NASA SP 365, (1956) Chapter XI, p.311
T.Bharathan, M. T. Jaffar Sathiq Ali, D. Pio Casmir, A.Saravanan "Design and CFD Analysis of Compressor Blade" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.09-12 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/09-12.pdf
Extrusion is by far the most important and probably the oldest transformation and shaping process of thermoplastic polymers. To ensure a quality through extrusion process during manufacturing, it is essential to discover, control, and monitor all quality parameters. Some of the important parameters are state of equipments, working conditions, temperatures, pressures, quality of dies, materials and cooling medium. Instead of the truthful efforts from the manufacturers, still there are number of obstacles in the process which show the way to defects in the product. The purpose of this paper is to properly understanding the extrusion process and focus on the various defects and its impact on product quality.
- Page(s): 13-20
- Date of Publication: 14 September 2018
- Pankaj M.PatilStudent of M.E(Machine Design), Mechanical Engineering Department, SSBT COET, Bambhori-Jalgao, Maharashtra, India
- Prof. D.B. SadaphaleFaculty Member of Mechanical Engineering Department, SSBT COET, Bambhori-Jalgaon, Maharashtra, India
References
[1]. Narasimha M and Rejikumar R (2013), “Plastic Pipe Defects Minimization”, International Journal of Innovative Research and Development, Vol. 2, No. 5, Page No- 1337-1351. [2]. FICCI, “Potential of plastic industry in northern India with special focus on plasticulture and food processing”, 2014. [3]. J G Khan, R S Dalu, S S Gadekar (2014), “Defects In Extrusion Process And Their Impact On Product Quality” Vol. 3, No. 3, Page No-187-194. [4]. Olga Sousa Carneiro, Luis lima ferras, Paulo Teixeira, Celio Pinto Fernandes, and Joao Miguel Nobrega(2015), “Weld Lines in extrusion:Understanding the role of the flow conditions” AIP Conference proceedings 1662, 030012-1-030012-10;doi: 10.1063/1.4918887. [5]. N.Keleshian, R.Kyser , J.Rodriguez, C. Cueva, V.Vega, E.W.Lee, J.Ogren, O.S.Es-said(2011), “On the Distortion and Warpage of 7249 Aluminum Alloy After Quenching and Machining” Vol.20(7), Page No-1230-1234 [6]. S.Siva Subramanian, S.Durga, K R Loshni, V Dinesh Kumar (2016), “A Review on Control of Plastic Extrusion Process” Vol.5, Special Issue 1,Page No.167-171. [7]. Harold F. Giles, Jr. John R. Wagner, Jr. Eldridge M. Mount, III , “Extrusion: The Definitive Processing Guide and Handbook” William Andrew publication, ISBN: 0-8155-1473-5. [8]. John Goff and Tony Whelan, “The Dynisco Extrusion Processors Handbook”, Dynisco company. [9]. Muralisrinivasan Natamal Subramanian, “The Basics of Troubleshooting in Plastics Processing” Wiley Publication, ISBN: 978-0-470-62606-1. [10]. Igor B. Kazatchkov(1994), “Melt Fracture Behaviour Of Molten Polypropylenes”,Thesis. [11]. Keith Luker, Randcastle Extrusion Systems, Cedar Grove, “Surge Suppression-A New means to limit surging”. [12]. https://www.ptonline.com/columns/extrusion-barrel-heat-and-melting [13]. https://en.wikipedia.org/wiki/Plastics_extrusion
Pankaj M.Patil, Prof. D.B. Sadaphale "A Study of Plastic Extrusion Process and its Defects" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.13-20 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/13-20.pdf
High energy consumption of the cloud computing system of a data center is of great disadvantage to both the cloud service provider and the users or clients. To reduce the energy consumption of the data center, virtualization of the application machines is required to improve server utilization without compromising the quality of service. The paper considered multi objective approach: the migration of the virtual machine, utilization of server resources, distance between virtual machine in the physical machine, sources and destinations characteristics of the server for successful operation with minimal energy. The simulation of the model reveals significant reduction of energy consumption and improved quality of service.
- Page(s): 21-25
- Date of Publication: 16 September 2018
- Francis OkoyeComputer Engineering Department, Enugu State University of Science and Technology, Enugu, Nigeria
- Harmony Nwobodo Nzeribe Computer Engineering Department, Enugu State University of Science and Technology, Enugu, Nigeria
- Godwin OzorComputer Engineering Department, Enugu State University of Science and Technology, Enugu, Nigeria
References
[1]. Amoon A. “A multi-criteria-based approach to save electrical power in cloud data centers.” DOI 10/1109/ACCESS.2018.2830183, IEEE, Vol 6, pp 24110-24117, May 2018. [2]. W. Zhu, Y. Zhuang, and L. Zhang, ``A three-dimensional virtual resourcescheduling method for energy saving in cloud computing,'' Future Generat. Comput. Syst., vol. 69, pp. 66_74, Apr. 2017. [3]. Y. Gao, H. Guan, Z. Qi, T. Song, F. Huan, and L. Liu, ``Service level agreementbased energy-efficient resource management in cloud data centers,''Comput. Elect. Eng., vol. 40, pp. 1621_1633, Jul. 2013. [4]. D. Buia, Y. Yoon, E.-N. Huh, S. Jun, and S. Lee, ``Energy efficiency forcloud computing system based on predictive optimization,'' J. ParallelDistrib. Comput., vol. 102, pp. 103_114, Apr. 2017 [5]. A. Beloglazov, J. Abawajy, and R. Buyya, ``Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing,'' Future Generat. Comput. Syst., vol. 28, no. 5, pp. 755_768, 2012. [6]. A. Beloglazov and R. Buyya, ``Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers,'' ConcurrencyComput., Pract. Exper., vol. 24, no. 13, pp. 1397_1420, 2012. [7]. M. M. Taheri and K. Zamanifar, ``2-phase optimization method for energy aware scheduling of virtual machines in cloud data centers,'' in Proc.IEEE Int. Conf. Internet Technol. Secured Trans. (ICITST), Dec. 2011, pp. 525_530.
Francis Okoye, Harmony Nwobodo Nzeribe and Godwin Ozor "Genetic Algorithm based Optimized Energy Consumption Model for Virtual Machine Consolidation of a Data Center" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.21-25 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/21-25.pdf
This study examines the Economic Value Added (EVA) and Market Value Added (MVA) which are two different approaches. EVA is a measure of firm’s profitable yield where it implied the gap between operating profits after taxes and total cost of capital. Since WACC takes care of financial costs of all sources of investor’s funds in a corporate, it is spectacular that profits after taxes should be considered to quantify EVA. The approach of MVA quantifies the modification in the market value of the firm’s equity capital with regard to equity fund. This consists of meaning, calculation and analysing of EVA and MVA in a sugar company.
- Page(s): 26-28
- Date of Publication: 16 September 2018
- Prof. Prayag GokhaleAssistant Professor Department of MBA, KLE Dr. MSSCET, Belgaum, Karnataka, India
- Ashwini KamateStudent of MBA, Department of MBA, KLE Dr. MSSCET, Belgaum, Karnataka, India
References
[1]. Andrew C Worthington West “Economic Value-Added: A Review of the Theoretical and Empirical Literature Asian Review of Accounting” (2001). [2]. ArvindGiritra and Surendra S. Yadav “Economic value-added: A New Flexible Tool for Measuring Corporate Performance Global journal of Flexible Systems Management”(2001), Vol. 2, No 1, page number 7-18 [3]. Dimitris&Christos Anastassis “The Validity of the Economic Value Added Approach: an Empirical Application Journal compilation © (2007) Blackwell Publishing Ltd.,” [4]. Dr. Anil K. Sharma “Economic Value-Added(EVA) – Literature Review and Relevant IssuesVol 2” No2; (2010)
Prof. Prayag Gokhale, Ashwini Kamate, "Impact of Operating Profit and Capital Charge on Economic Value Added and Analysing Market Value Added" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.26-28 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/26-28.pdf
In day-to-day management of the firm, it is essential to manage the inventory so as to maintain proper supply of goods at proper time. Inventory represents an important decision variable at all stages of product manufacturing, distribution and sales, in addition to being a major portion of current assets of many organizations. Too much and too low inventories bring down the level of profitability of an organization. Therefore, whether it is a manufacturing or merchandized organization, the goal should always be the same that is, to ensure the inventory is ready and at the same time inventory is at a low level. Inventory management is functional field of finance and production that covers the efficient and effective use of raw materials and spares which are consumed in producing the finished goods in manufacturing concern. A firm ignoring the management of inventories will be jeopardizing its long run profitability and may fail finally. The reduction in ‘excessive’ inventories carries a favourable impact on a company’s profitability.This paper consists of different parts where the inventory management concepts are discussed, and different inventory control techniques are discussed. This paper also introduces the various costs incurred due to the storage inventory, economic order quantities, stock levels, shortage costs, inventory methods.
- Page(s): 29-31
- Date of Publication: 16 September 2018
- Prof. Prayag P. Gokhale Asst. Professor, Department of MBA, KLE DR. M S Sheshgiri College of Engineering and Technology, Belgaum, Karnataka India.
- Megha B Kaloji Research Student, Department of MBA, KLE DR. M S Sheshgiri College of Engineering and Technology, Belgaum, Karnataka India.
References
[1]. Dr. Rakesh Kumar, “Economic order quantity model”, Global journal of finance and economic management, Vol.5 (2016). [2]. Serhii Z, “A literature review on models of inventory management under uncertainty” (2015). [3]. IOSR Journal of Economics and Finance (IOSR-JEF) Volume 7, Issue 6 Ver. I (Nov. - Dec. 2016). [4]. IOSR Journal of Business and Management (IOSR-JBM) Volume 17, Issue 4.Ver. VI (Apr. 2015). [5]. Sachin Agarwal, “Economic Order Quantity Model”, International Journal of Mechanical, Civil, Automobile and Production Engineering, Vol.5, Issue 12(2014).
Prof. Prayag P. Gokhale, Megha B Kaloji "A Study on Inventory Management and Its Impact on Profitability in Foundry Industry at Belagavi, Karnataka" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.29-31 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/29-31.pdf
Concrete is strong, durable, locally available building material widely used for construction. If the load applied on the concrete is more than their limit of resisting load, it causes strength reduction of concrete by producing the cracks. The entry of moisture and harmful chemicals into the concrete through cracks can result in decrement of strength and life. The strength and durability of the concrete can be improved by a technique involving bacterial induced calcite precipitation. Micro biologically induced calcite precipitation can heal cracks and improve the performance of the concrete. In this paper an attempt to study bacterial concrete, types and classification of bacteria, mechanism, merits, demerits and applications of bacterial concrete.
- Page(s): 32-35
- Date of Publication: 24 September 2018
- Kezy JoyPG student, Department of Civil Engineering, JCT College of Engineering and Technology, Pichanur, Coimbatore- 641105, Tamil Nadu, India
- Dr. A.ThirumuruganAssociate Professor, Department of Civil Engineering, JCT College of Engineering and Technology, Pichanur, Coimbatore- 641105, Tamil Nadu, India
- Niranjani.SAssistant Professor, Department of Civil Engineering, JCT College of Engineering and Technology, Pichanur, Coimbatore- 641105, Tamil Nadu, India
References
[1]. Dhanya. S, Soman. K, Smitha. M, Dr. Mercy Shanthi, Dr. Suji. D and Rajesh. A. R (2016) “Strength and Water Absorption of Bacterial Concrete Prepared with M.sand – A Study” International Journal of Engineering Research & Technology (IJERT). [2]. Etaveni.Madhavi and D.Rahul Naik (2016) ““Strength Properties of a bacterial concrete when Cement partially replaced with flyash and GGBS” International Research Journal of Engineering and Technology (IRJET). [3]. K.Sriramya and L.Aparna (2017) “Bacterial Concrete Using Fly Ash as Partial Replacement” International Journal of Research. [4]. Nafise Hosseini Balam , Davood Mostofinejad and Mohamadreza Eftekhar (2017) “Effects of bacterial remediation on compressive strength, water absorption, and chloride permeability of lightweight aggregate concrete” Conctruction and building materials. [5]. Navneet Chahal and Rafat Siddique (2013) “Permeation properties of concrete made with fly ash and silica fume: Influence of ureolytic bacteria” Conctruction and building materials. [6]. RA. B. Depaa and T. Felix Kala (2015) “Experimental Investigation of Self Healing Behavior of Concrete using Silica Fume and GGBFS as Mineral Admixtures” Indian Journal of Science and Technology.
Kezy Joy, Dr. A.Thirumurugan, Niranjani.S "Experimental Study on Self Healing Concrete" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.32-35 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/32-35.pdf
Concrete is most commonly used construction material which is strong in compression and weak in tension. The major drawback of concrete is formation of cracks, which affects the serviceability of concrete. When the applied load exceeds the limit, cracks develops on the structure through which water, salts and other foreign matters enters into the concrete and leads to the failure of the structure. Bacterially induced CaCO3 precipitation has been proposed as an environmental friendly technique which can remediate cracks in concrete. Metabolic activities of bacteria in concrete can improve overall performance of concrete. In this paper an attempt to study bacterial concrete, types and classification of bacteria, mechanism, merits, demerits and applications of bacterial concrete.
- Page(s): 36-39
- Date of Publication: 24 September 2018
- Aparna DandapaniPG student, Department of Civil Engineering, JCT College of Engineering and Technology, Pichanur, Coimbatore-641105, Tamil Nadu, India
- Dr. A.Thirumurugan Associate Professor, Department of Civil Engineering, JCT College of Engineering and Technology, Pichanur, Coimbatore- 641105, Tamil Nadu, India
References
[1]. Chithra P Bai and Shibi Varghese (2016) “An experimental investigation on the strength properties of fly ash based bacterial concrete” International Journal of Innovative Research in Advanced Engineering (IJIRAE). [2]. K. Nagajyothi, K. Shyam Chamberlin, SS. Asadi and M. Maheswara Reddy (2017) “Experimental study on bacterial rice husk ash concrete by incorporating quarry dust as partial replacement of fine aggregate” International Journal of Civil Engineering and Technology (IJCIET). [3]. Nafise Hosseini Balam , Davood Mostofinejad and Mohamadreza Eftekhar (2017) “Effects of bacterial remediation on compressive strength, water absorption, and chloride permeability of lightweight aggregate concrete” Conctruction and building materials. [4]. Navneet Chahal and Rafat Siddique (2013) “Permeation properties of concrete made with fly ash and silica fume: Influence of ureolytic bacteria” Conctruction and building materials. [5]. Pradeep Kumar.A, Akila Devi, Anestraj.S, Arun.S and Santhoshkumar.A (2015) “An Experimental Work on Concrete by Adding Bacillus Subtilis” International Journal of Emerging Technologies and Engineering (IJETE). [6]. R.Sri Bhavana, P.Polu Raju and S.S Asadi (2017) “Experimental study on bacterial concrete with partial replacement of cement by fly ash” International Journal of Civil Engineering and Technology (IJCIET).
Aparna Dandapani, Dr. A.Thirumurugan "Development of Self Healing Concrete to Improve Durability of Structures" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.36-39 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/36-39.pdf
Brand switching also known as brand jumping refers to the process in which a customer changes from buying one brand of a product to buying another brand. In telecommunication sector, the brand switching cost is relatively low, so consumers easily switch to another network, which offers competitive prices and quality. The factor behind consumer brand switching includes negative experience of consumer due to poor product quality or service. The intention of this paper is to scrutinize the factors that influencing consumers switching the service provider in telecom industry. The Indian telecommunications industry is one of the fastest growing in the world. Government policies and regulatory framework implemented by Telecom Regulatory Authority of India (TRAI) have provided a conductive environment for service providers. This has made the sector more competitive, while enhancing the accessibility of telecommunication services at affordable tariffs to the consumers.
- Page(s): 40-46
- Date of Publication: 25 September 2018
- S MD. Salman Assistant Professor, Department of Management Studies, Sri Venkateswara College of Engineering, Karakambadi Road, Tirupati, Andhra Pradesh, India
- Dr. Nalla Bala KalyanAssociate Professor, Department of Management Studies, Sri Venkateswara College of Engineering, Karakambadi Road, Tirupati, Andhra Pradesh, India
References
[1]. Bitner, M.J., & Hubbert, A.R. (1994). Encounter satisfaction versus overall satisfaction versus quality. In Rust, R.T. And Oliver, R.L. (Eds), Service Quality: New Directions in Theory and Practice, Sage, London. Catherine Marshall , Gretchen B. Rossman. 1999, Designing Qualitative Research. 3rd Ed. Sage Publication Inc [2]. Bolton, R. N., & Bronkhurst, T. M. (1995). The relationship between customer complaints to the firm and subsequent exist behaviour. Advances in Consumer Research, 22, 92-100 [3]. Burnham T. A., J. K. Frels & V. Mahajan. (2003). Consumer switching cost: A typology, antecedents and consequences’. Journal of the Academy of Marketing Science, Vol 31, No. 2, pp. 109-126. [4]. Charles, C. M. 1995. Introduction to educational research 2nd ed. [5]. Chu, Kuo-Ming. (2009). The Construction Model of Customer Trust, Perceived Value and Customer Loyalty, The Journal of American Academy of Business, Cambridge, Vol.14, No.2, pp.98-103. [6]. Dong-Hee Shin and Won-Yong Kim, 2007. Forecasting customer switching intention in mobile service: an exploratory study of predictive factors in mobile number portability, Technological Forecasting & Social Change 75 (2008) 854–874 [7]. Ehrenberg, A.S.C. (2000). “Repetitive Advertising and the Consumer”. Journal of Advertising Research, November-December, pp.39-48. [8]. Fuha Munnukka (2005), Dynamics of price sensitivity among mobile service customers, Journal of product and brand management, Vol 14, No. 1, pp 65-73 [9]. Fornell, C. (1992). A national customer satisfaction barometer: the Swedish experience. Journal of Marketing, Vol. 56, January, pp. 6-21. [10]. Folland Sherman, 2008. The Economics of Health and Health Care, Pearson Education India [11]. Lukasz Grzybowski, 2004. Estimating Switching Costs in the Mobile Telecommunications Industry in the UK [12]. Garland, R., 2002. Non-financial drivers of customer profitability in personal retail banking. Journal of Targeting, Measurement and Analysis in Marketing 10 (3), 233-248.
S MD. Salman, Dr. Nalla Bala Kalyan "A Study on Factors Influencing Brand Switching in Telecom Industry in India" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.40-46 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/40-46.pdf
Past efforts to relate the management of human resources to a firm's business strategy have taken three approaches: matching managerial style or personnel activities with strategies, forecasting manpower requirements given certain strategic objectives or environmental conditions, and presenting means for integrating human resource management into the overall effort to match strategy and structure. In this article, the literature on each of these approaches is reviewed, and a typology is presented that posits a reciprocal interdependence between a firm's business strategy and its human resources strategy Implications for research and practice are discussed.
- Page(s): 47-49
- Date of Publication: 25 September 2018
- B. Bhagya Laxmi Assistant Professor, Department of CSE, Warangal Institute of Technology and Science, Warangal (Rural), Telangana, India
References
[1]. Motivation at Work: a Ghanaian Perspective. European Journal of Business and Management, 3(9), 1-8. [2]. Babin, J. B., & Boles, J. S. (1996). The Effects of Perceived Co-Worker Involvement and Supervisor Support on Service Provider Role Stress, Performance and job Satisfaction. Journal of Retailing, 72(1), 57-75. [3]. Daniel Martin and Stephen Bok, Social dominance orientation and mentorship, Personnel Review, 44, 4, (592), (2015). [4]. Joyce Thompson Heames and Michael Harvey, The Evolution of the Concept of the 'Executive' from the 20th Century Manager to the 21st Century Global Leader, Journal of Leadership & Organizational Studies, 13, 2, (29), (2006). [5]. Charles R. Gowen and William J. Tallon, Turnaround strategies of American and Japanese electronics corporations, The Journal of High Technology Management Research, 13, 2, (225), (2002). [6]. Alain Pinsonneault and Kenneth L. Kraemer, Exploring the Role of Information Technology in Organizational Downsizing: A Tale of Two American Cities, Organization Science, 13, 2, (191), (2002). [7]. Kent V. Rondeau and Terry H. Wagar, Reducing the Hospital Workforce: What is the Role of Human Resource Management Practices?, Hospital Topics, 80, 1, (12), (2002). [8]. James J. Jiang and Gary Klein, Effects of downsizing policies on IS survivors’ attitude and career management, Information & Management, 38, 1, (35), (2000). [9]. https://www.businessdictionary.com/definition/training-and-development.html [10]. https://en.wikipedia.org/wiki/Training_and_development [11]. https://www.traininganddevelopment.naukrihub.com [12]. Olivia Crosby, “Apprenticeships,” Occupational Outlook Quarterly, 46, no. 2 (Summer 2002), p. 5 [13]. https://www.businessbee.com/resources/operations/7-steps-to-develop-an-effective-employee-training-program/
B. Bhagya Laxmi "A Study on Retraining in The Light of Technological Changes" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.47-49 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/47-49.pdf
Purpose: - The purpose of this research is to find out that how relationship marketing, brand loyalty and customer loyalty can influence a brand to build. Design /Methodology/approach: - Relationship marketing, brand loyalty and customer loyalty are the cornerstones for any business including the retail business. This research is based on the reviewing various articles available on relationship marketing, brand loyalty &customer loyalty & its influence on retail brand management. Findings: -Relationship marketing, brand loyalty and customer loyalty has strong impact on customer purchasing behavior. Hence it has a greater role to build any brand in retail industry. Practical Implication: - This research has explained the strong correlation between relationship marketing, brand loyalty and customer loyalty and its impact on customer retention in retail brand management. Thus it is very important for any organization to focus on this aspect for improving the business in many folds.
- Page(s): 50-58
- Date of Publication: 26 September 2018
- Sanmoy ChatterjeeResearch Scholar, Shri Jagdishprasad Jhabarmal Tibrewala University, Jhunjhunu, Rajasthan, India
References
Journals:- [1]. Allaway, A.W, Gooner, R.M, Berkowitz, D., Davis, L.(2006), “Deriving and exploring behaviour segments within a retail loyalty card program”, European Journal of Marketing, Vol. 40 No. 11/12, pp. 1317-1339 [2]. Anisimova, A. T.(2007), “ The effects of corporate brand attributes”, Journal of consumer marketing, Vol. 24, No. 7, pp. 395-405. [3]. Bove, L.L. and Johnson, L.W. (2000), “A customer-service worker relationship model”, International Journal of ServiceIndustries Management, Vol. 11 No. 5, pp. 491-511. [4]. Carlsson, F. and Lo¨fgren, A. (2006), “Airline choice, switching costs and frequent flyer programmes”, Applied Economics, Vol. 38 No. 13, pp. 1469-75. [5]. Day, G.S. (1969), “A two-dimensional concept of brand loyalty”, Journal of Advertising Research, Vol. 9, pp. 29-35. [6]. Dick, A.S. and Basu, K. (1994), “Customer loyalty: toward an integrated conceptual framework”, Journal of theAcademy of Marketing Science, Vol. 22, pp. 99-113. [7]. Delgado-Ballester, E. and Munuera-Alema´n, J.L. (1999), “Brand trust in the context of consumer loyalty”, EuropeanJournal of Marketing, Vol. 35, Nos 11/12, pp. 1238-58. [8]. Duffy, D. L.(1998), “Customer loyalty strategies”, Journal of Consumer Marketing, Vol. 15, No. 5, pp. 435-448. [9]. Fornell, C. (1992), “A national customer satisfaction barometer: the Swedish experience”, Journal of Marketing, Vol. 56, January, pp. 6-21. [10]. GAO Report (1996), “Airline deregulation: barriers to entry continue to limit competition in several key domestic markets”, October 18. [11]. Gwinner, K., Gremler, D. and Bitner, M.J. (1998), “Relational benefits in services industries: the customer’sperspective”, Journal of the Academy of Marketing Science, Vol. 26 No. 2, pp. 101-14. [12]. Hatch, M.J. and Schultz, M. (2003), “Bringing the corporation into corporate branding”, European Journal of Marketing, Vol. 37 Nos 7/8, pp. 1041-64. [13]. Ho,R., Huang,L., Huang,H., Lee,T., Rosten,A. and Tang,C.A.(2009), “An approach to develop effective customer loyalty programs: The VIP program at T&T Supermarkets Inc.”,Managing Service Quality, Vol. 19 No. 6, pp. 702-720 [14]. Jacoby, J. (1971), “A model of multi brand loyalty”, Journal of Advertising Research, Vol. 11, pp. 25-31. [15]. Jansen, J.M and Hansen,T. (2006), “ An empirical examination of brand loyalty”, Journal of product and brand management, Vol. 15, No. 7, pp. 442-449. [16]. Kivetz, R. and Simonson, I. (2002), “Earning the right to indulge: effort as a determinant of customer preferences toward frequency program rewards”, Journal of Marketing Research, Vol. 39, May, pp. 155-70. [17]. Matzler, K., Krauter, G.S., Bidmon, S. (2008), “Risk aversion and brand loyalty: brand trust and brand effect”, Journal of product and brand management, Vol. 17, No. 3, pp. 154-62. [18]. Meyer-Waarden. L, (2008), “The influence of loyalty programme membership on customer purchase behaviour”, European Journal of Marketing, Vol. 42 No. 1/2, pp. 87-114 [19]. Odin, Y., Odin, N. and Valette-Florence, P. (2001), “Conceptual and operational aspects of brand loyalty: an empirical investigation”, Journal of Business Research, Vol. 53, pp. 75-84. [20]. Peppers, E. and Rogers, M. (1994), “The new marketing paradigm: one-to-one”, American Advertising, Vol. 9 No. 4, pp. 20-2. [21]. Phillips, J., Tandoh, M., Nobel, S. and Bush, V. (2004), “The value of relationship strength in segmenting casino patrons: an exploratory investigation”, Journal of InteractiveAdvertising, Vol. 4 No. 3, pp. 1-23. [22]. Rao, V.R., Agrawal, R.R. and Dahlhoff, D. (2004), “How is manifest branding strategy related to the intangible value of a corporation”, Journal of Marketing, Vol. 68, October, pp. 126-41. [23]. Ravald, A. and Gronroos,C. (1996), “The value concept and relationship marketing”, European Journal of Marketing, Vol. 30. No. 2, pp.19-30. [24]. Reichheld, F. and Sasser, W.E. (1990), “Zero defections”, Harward Business Review, Vol. 68, pp. 105-11. [25]. Reinartz, W. (2005), “Understanding customer loyalty programs”, in Krafft, M. And Mantrala, M.K. (Eds), Retailing in the 21st Century, Springer, Heidelberg, pp. 361-79. [26]. Roberts, K., Varki, S. and Brodie, R. (2003), “Measuring the quality of relationships in consumer services: an empirical study”, European Journal of Marketing, Vol. 37 Nos 1/2, pp. 169-96 [27]. Schultz, M. and de Chernatony, L. (2002), “The challenges of corporate branding”, Corporate Reputation Review, Vol. 5, Nos. 2/3, pp. 105-12. [28]. Shankar, V., Smith, A.K. and Rangaswamy, A. (2000), “Customer satisfaction and loyalty online and offline environments”, Working Paper 02-2000, Penn State University, eBusiness Research Center, University Park, PA. [29]. Sheth, J.N. and Kellstadt,C. H. (2002) “ The future of relationship marketing”, Journal 0f Service Management, Vol. 16, No.7, pp.590-592. [30]. Stauss, B., Schmidt, M. and Schoeler, A.( 2005), “Customer frustration in loyalty programs”, International Journal of Service Industry Management, Vol. 16, No. 3, pp. 229-252 [31]. Shugan, S.M. (2005), “Brand loyalty programs: are they shams ?”, Marketing Science, Vol. 24 No. 2, pp. 185-93. [32]. Taylor, G.A. and Neslin, S.A. (2005), “The current and future sales impact of a retail frequency reward program”, Journal of Retailing, Vol. 81 No. 4, pp. 293-305. [33]. Uncles, M.D, Dowling, G.R. and Hammond, K. (2003), “ Customer loyalty and customer loyalty programs”, Journal of Consumer Marketing, Vol. 20. NO.4, pp. 294-316. [34]. Verhoef, P. (2003), “Understanding the effect of customer relationship management efforts on customer retention and customer share development”, Journal of Marketing, Vol. 67,October, pp. 30-45. [35]. Ward,T. and Dagger,T.S. (2007) “ The complexity of relationship marketing for service customers”, Journal 0f Service Management, Vol. 21, No.4, pp.281-290. [36]. Ward, T., Frew, E. and Caldow, D. (1997), “An extended list of the dimensions of ‘relationship’ in consumer service product marketing: a pilot study”, American MarketingAssociation, Vol. 6, pp. 531-44. Books:- [37]. Ehrenberg, A. (1988), Repeat Buying: Theory and Applications, Charles Griffin & Co., London [38]. IBISWorld (2005), Motor Vehicle Manufacturing in Australia, C2811 Series, IBISWorld, Melbourne, August. [39]. Lloyd, S. (2004), “The-driving force”, BRW, July 1-7, pp. 62-4. [40]. Lovelock, C. and Wirtz, J. (2008), Service Marketing, 5th ed., Irwin Publishers, Burr Ridge, IL. [41]. Normann, R. and Ramirez, R. (1994), Designing Interactive Strategy, from Value Chain to Value Constellation, John Wiley& Sons, Chichester. [42]. Szwarc, P.(2005) Researching Customer Satisfaction and Loyalty. 1st edition, Kogan Page, London.
Sanmoy Chatterjee "A Comprehensive Literature Review on Customer Loyalty, Relationship Marketing and Brand Loyalty and Its Impact on Customer Retention Policy in Retail Industry w.r.t TESCO Plc." International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.50-58 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/50-58.pdf
Purpose: - The purpose of this research is to discover those factors which lead to enhance the business success through effective use of some parameters like relationship marketing, brand loyalty and customer loyalty. Design /Methodology/approach: - In this research the result of an empirical survey of 40 participants for three parameters has been taken for measuring the strength of the relationship marketing, brand loyalty and customer loyalty. Findings: - The finding of this research is clarified that the positive impact of loyalty card programme on the overall customer purchasing behaviour is significant. To gaining and retaining the market position in the competitive environment relationship marketing, brand loyalty and customer loyalty are play the important role. Practical Implication: - This research is tried to demonstrate how the relationship marketing, brand loyalty and customer loyalty are important in the retail market. Originality/Value: - From a theoretical point of view the research result elucidate how relationship marketing, brand loyalty and customer loyalty are interlinked with each other. From a practical point of view, it explains why and how all those parameters are important in retail industry. The contribution of this project is to empirically demonstrate that those customs are holding the loyalty card having more relationship with the organisation compare to non-card holder.
- Page(s):59-71
- Date of Publication: 26 September 2018
- Sanmoy ChatterjeeResearch Scholar, Shri Jagdishprasad Jhabarmal Tibrewala University, Jhunjhunu, Rajasthan (India)
References
Journals:- [1]. Allaway, A.W, Gooner, R.M, Berkowitz, D., Davis, L.(2006), “Deriving and exploring behaviour segments within a retail loyalty card program”, European Journal of Marketing, Vol. 40 No. 11/12, pp. 1317-1339 [2]. Anisimova, A. T.(2007), “ The effects of corporate brand attributes”, Journal of consumer marketing, Vol. 24, No. 7, pp. 395-405. [3]. Buzzell, R.D., Gale, B.T. and Sultan, R.G.M. (1975),“Market share – a key to profitability”, Harvard Business Review, Vol. 53, pp. 97-106. [4]. Dick, A.S. and Basu, K. (1994), “Customer loyalty: toward an integrated conceptual framework”, Journal of the Academy of Marketing Science, Vol. 22, pp. 99-113. [5]. Delgado-Ballester, E. and Munuera-Alema´n, J.L. (2005), “Does brand trust matter to brand equity?”, Journal of Product & Brand Management, Vol. 14 No. 3, pp. 187-96. [6]. Firat, A.F., Dholakia, N., Venkatesh, A. (1995), "Marketing in a postmodern world", European Journal of Marketing, Vol.29, No. 1, pp 40-56 [7]. Fournier, Susan (1998a), “Consumers and their brands: developing relationship theory in consumer research”, Journal of Consumer Research, Vol. 24, pp. 343-73 [8]. GAO Report (1996), “Airline deregulation: barriers to entry continue to limit competition in several key domestic markets”, October 18. [9]. Holt, Douglas B (1995), 'How Consumers Consume: A Typology of Consumption Practices', Journal of Consumer Research, Vol. 22, p. 1-16. [10]. Holt, Douglas B (1997), 'Post-Structuralist Lifestyle Analysis: Conceptualizing the Social Patterning of Consumption in Postmodernity', Journal of Consumer Research, Vol. 23, p. 326-350. [11]. Holt, Douglas B (1998), 'Does Cultural Capital Structure American Consumption?', Journal of Consumer Research, Vol. 25 [12]. Holt, Douglas B (2002), 'Why Do Brands Cause Trouble? A Dialectical Theory of Consumer Culture and Branding', Journal of Consumer Research, Vol. 29, p. 70-90. [13]. Jansen, J.M and Hansen,T. (2006), “ An empirical examination of brand loyalty”, Journal of product and brand management, Vol. 15, No. 7, pp. 442-449. [14]. Meyer-Waarden. L, (2008), “The influence of loyalty programme membership on customer purchase behaviour”, European Journal of Marketing, Vol. 42 No. 1/2, pp. 87-114 [15]. Odin, Y., Odin, N. and Valette-Florence, P. (2001), “Conceptual and operational aspects of brand loyalty: an empirical investigation”, Journal of Business Research,Vol. 53, pp. 75-84. [16]. Raj, S.P. (1985), “Striking a balance between brand ‘popularity’ and brand ‘loyalty’”, Journal of Marketing, Vol. 49, pp. 53-9. [17]. Reichheld, F. and Sasser, W.E. (1990), “Zero defections”, Harward Business Review, Vol. 68, pp. 105-11. [18]. Reinartz, W. (2005), “Understanding customer loyalty programs”, in Krafft, M. and Mantrala, M.K. (Eds), Retailing in the 21st Century, Springer, Heidelberg, pp. 361-79. [19]. Rowley, J. and Dawes, J. (2000), “Disloyalty: a closer look at non-loyals”, The Journal of Consumer Marketing, Vol. 17 No. 6, pp. 538-49. [20]. Shugan, S.M. (2005), “Brand loyalty programs: are they shams ?”, Marketing Science, Vol. 24No. 2, pp. 185-93. Books:- [21]. Ballantyne, D., Chistropher, M. And Payne, A. (2000), Relationship Marketing: Bringing Quality, Customer Service and Marketing Together, Butterworth-Heinemann, Oxford. [22]. Bryman, A. (2004), Social Research Methods, 2nd Ed. New York: Oxford University Press. [23]. Denzin, N.K. and Lincoln, Y.S. (Eds) (1998), Collecting and Interpreting Qualitative Materials, Sage, London. [24]. Kumar, R. (2005), Research Methodology: A Step-by-Step Guide for Beginners, 2nd Ed. London: Sage. [25]. Mason, J. (1996), Qualitative Researching, Sage Publications, London. [26]. Normann, R. and Ramirez, R. (1994), Designing Interactive Strategy, from Value Chain to Value Constellation, John Wiley & Sons, Chichester. [27]. RDI (2009) Secondary analysis: Research method Unit 2, Lesson 1, UK [28]. Stone, M., Bond, A. And Foss, B.( with Woodcock, N and Kirby, J) (2004) Consumer Insight: How to use data and market research to get closer to your customer, Koran Page, London [29]. Szwarc, P.(2005) Researching Customer Satisfaction and Loyalty. 1st edition, Kogan Page, London. [30]. Wilson, A. (2006) Marketing Research: An Integrated Approach. 1st edition, Prentice Hall/Financial Times. New York
Sanmoy Chatterjee "A Comprehensive Analysis of Customer Retention in the Retail Industry: A Case Study of TESCO Plc." International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.59-71 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/59-71.pdf
When designing or developing the topology or structure of wireless sensor networks, it is of great importance considering prolonging the network lifetime. Energy crisis in the context of high cost, limited availability, inconvenience factors makes the research on wireless sensor networks (WSNs) an interesting one. In the quest to mitigate the effect in WSNs, considering the position of the source node, sink node and energy consumption on data transmission and receiving, the paper proposes the adaptive genetic algorithm-based optimization technique to balance the energy in the network system, hence prolonging the network lifetime. Simulation results demonstrate a significant additional two and quarter hour (135 mintes) longer lifetime of the nodes.
- Page(s): 72-74
- Date of Publication: 27 September 2018
- Chioma OlekaComputer Engineering Department, Enugu State University of Science and Technology, Nigeria
- Uju Nduanya Computer Engineering Department, Enugu State University of Science and Technology, Nigeria
- Francis OkoyeComputer Engineering Department, Enugu State University of Science and Technology, Nigeria
References
[1] L. Badia, A. Botta, and L. Lenzini, ``A genetic approach to joint routing and link scheduling for wireless mesh networks,'' Ad Hoc Netw., vol. 7, no. 4, pp. 654_664, Jun. 2009. [2] J. Jia, X. Wang, and J. Chen, ``A genetic approach on cross-layer optimization for cognitive radio wireless mesh network under SINR model,''Ad Hoc Netw., vol. 27, pp. 57_67, Apr. 2015. [3] A. Azari and G. Miao, ``Lifetime-aware scheduling and power control for M2M communications in LTE networks,'' in Proc. IEEE Veh. Technol.Conf. (VTC), Glasgow, Scotland, May 2015, pp. 1_5. [4] A. Azari and G. Miao, ``Lifetime-aware scheduling and power control for cellular-based M2M communications,'' in Proc. IEEE WirelessCommun. Netw. Conf. (WCNC), New Orleans, LA, USA, Mar. 2015, pp. 1171_1176. [5] H. Kwon, T. H. Kim, S. Choi, and B. G. Lee, ``Lifetime maximization under reliability constraint via cross-layer strategy in wireless sensor networks,'' in Proc. IEEE Wireless Commun. Netw. Conf., vol. 3. Mar. 2005, pp. 1891_1896. [6] Y. Cui, Y. Xue, and K. Nahrstedt, ``A utility-based distributed maximum lifetime routing algorithm for wireless networks,'' IEEE Trans. Veh. Technol., vol. 55, no. 3, pp. 797_805, May 2006. [7] R. Madan and S. Lall, ``Distributed algorithms for maximum lifetime routing in wireless sensor networks,'' IEEE Trans. Wireless Commun., vol. 5, no. 8, pp. 2185_2193, Aug. 2006. [8] C. Zhu, S. Wu, G. Han, L. Shu, and H. Wu, ``A tree-cluster-based data- gathering algorithm for industrial WSNs with a mobile sink,'' IEEE Access, vol. 3, pp. 381_396, May 2015. [9] R. Khanna, H. Liu, and H.-H. Chen, ``Dynamic optimization of secure mobile sensor networks: A genetic algorithm,'' in Proc. IEEE Int. Conf.Commun. (ICC), Glasgow, Scotland, Jun. 2007, pp. 3413_3418 [10] Q. Dong, ``Maximizing system lifetime in wireless sensor networks,'' in Proc. 4th Int. Symp. Inf. Process. Sensor Netw. (IPSN), Apr. 2005, pp. 13_19. [11] Y. Shi, Y. E. Sagduyu, and J. H. Li, ``Low complexity multi-layer optimization for multi-hop wireless networks,'' in Proc. Military Commun.Conf. (MILCOM), Oct./Nov. 2012, pp. 1_6. [12] Y. Gu, M. Pan, and W. W. Li, ``Prolonging the lifetime of large scale wireless sensor networks via base station placement,'' in Proc. IEEE Veh.Technol. Conf. (VTC), Las Vegas, NV, USA, Sep. 2013, pp. 1_5. [13] H. Chenji and R. Stoleru, ``Pareto optimal cross layer lifetime optimization for disaster response networks,'' in Proc. Int. Conf. Commun. Syst.Netw. (COMSNETS), Bengaluru, India, Jan. 2014, pp. 1_8. [14] J.-H. Chang and L. Tassiulas, ``Maximum lifetime routing in wireless sensor networks,'' IEEE/ACM Trans. Netw., vol. 12, no. 4, pp. 609_619, Aug. 2004.
Chioma Oleka, Uju Nduanya and Francis Okoye "Adaptive Genetic Algorithm-Based Network Lifetime Maximization of Wireless Sensor Networks" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.72-74 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/72-74.pdf
Now a day’s open ground storey or soft storey is a typical feature in multistoried buildings constructions. These buildings are highly susceptible to earthquake and due to that loss of properties and casualty is there. So in this paper parametric study is performed on an example building with open ground storey to bring out the importance of explicitly recognizing the presence of soft ground storey in the analysis. Usually the most economical way to eliminate the failure of soft storey by adding shear walls. The shear walls are one of the most efficient lateral force resisting elements in high rise buildings. This paper deals with occurring of soft storey at lower level at high rise building subjected to earthquake has been studied. Also has been tried to investigate on adding of shear wall to structures in order to reduce soft storey effect on seismic response of building.
- Page(s): 75-79
- Date of Publication: 27 September 2018
- Prof. Patil S.S.Head of Civil Engineering Department, W.I.T. Solapur, Maharashtra – India.
- Sagare S.D.Student, M.E. (Structures), W.I.T. Solapur, Maharashtra – India
References
[1]. Bureau of Indian Standards: IS-875, part 1 (1987), dead loads on buildings and Structures, New Delhi, India. [2]. Bureau of Indian Standards: IS-875, part 2 (1987), live loads on buildings and Structures, New Delhi, India. [3]. Bureau of Indian Standards: IS-1893, part 1 (2002), “Criteria for earthquake resistant design of structures: Part 1 General provisions and buildings”, New Delhi, India. [4]. A. Rahman, A. A. Masrur Ahmed & M. R. Mamun, “Drift analysis due to earthquake load on tall structures”, Journal of Civil Engineering and Construction Technology Vol. 4(5), pp. 154-158, May 2012 [5]. Anshuman. S, Dipendu Bhunia, & Bhavin Ramjiyani, Civil Engineering Group, BITS Pilani, Rajasthan, India, “Solution of Shear Wall Location in Multi-Storey Building”, International Journal Of Civil and Structural Engineering, Volume 2, No 2, 2011,PP. 493-506. [6]. Ashish S.Agrawal & S. D. Charkha, Civil Engineering Dept, Babasaheb College of Engineering, Pusad , “Effect of Change in Shear Wall Location on Storey Drift of Multistorey Building Subjected to Lateral Loads”, International Journal of Engineering Research and Applications (IJERA). [7]. Bahador Bagheri, Ehsan Salimi Firoozabad, and Mohammadreza Yahyaei, “Comparative Study of the Static and Dynamic Analysis of Multi-Storey Irregular Building”, World Academy of Science, Engineering and Technology 71, 2012 [8]. J.C.D. Hoenderkamp, “The Influence of Single Shear Walls on the Behaviour of Coupled Shear Walls in High-rise Structures”, in proc. Elsevier, Vol. 14. 2011. pp. 1816-1824. [9]. Jaswant N. Arlekar et al. “Seismic Response of RC Frame Buildings with Soft First Storeys”, in proc. Dept. of Civil Engineering, I.I.T. Kanpur.13-24. [10]. Karim M Pathan, Huzaifa Nakhwa, Choudhary Usman, Yadav Neeraj, & Shaikh Kashif, “Effective Height of Curtailed Shear Walls for High Rise Reinforced Concrete Buildings”, International Journal Of Engineering And Science Vol.3, Issue 3 (June 2013), PP 42-44.
Prof. Patil S.S., Sagare S.D. "Dynamic Analysis of Soft Story-High Rise Building with Shear Wall" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.75-79 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/75-79.pdf
This study focused mainly on the impact of information and communication technology infrastructure as a veritable tool for health care professionals in healthcare institutions in Port Harcourt metropolis. Descriptive research design method was employed. One hundred (100) Respondents (Healthcare Workers) participated in the research. Open and closed-ended questionnaire was used to collect data and simple percentage was used to analyze the data. The result of the study revealed that (60%) of the respondents have not been trained in the use of ICT and only few of them use ICT in the course of carrying out their job (40%). On the average, hospitals were provided the required infrastructure (50%). The result also identified that ICT infrastructures have the potential to improve the quality and safety of health care professionals (80%). A strong and properly structured ICT help doctors/patients be more informed and better prepared to engage in decision making and to carry out their treatment plan as well as have great potential to reduce some administrative costs and burden (95%). Their establishments does not have properly structured ICT infrastructure (60%). Recommendations are that the health workers should be well trained; provided with the required ICT infrastructures/equipment. The study has been able to show that ICT infrastructure is a veritable tool for healthcare professionals for effective healthcare delivery.
- Page(s): 80-84
- Date of Publication: 29 September 2018
- Egba Ifeanyichukwu (B.Tech, M.Sc, IITP,CPN),Rivers State College of Health Science and Technology, Rumueme, Port Harcourt. Nigeria.
- Amadi Gordon(B.Sc, M.Sc, ), School of Biomedical Engineering Technology, Rivers State College of Health Science and Technology, Rumueme, Port Harcourt. Nigeria.
- Alalibo, Tamuno-Omie(B.Tech, M.Sc), Rivers State University, Port Harcourt, Rivers State. Nigeria.
References
[1]. Arizona-Ogwu, L.Chinedu (2011): "Port Harcourt PDP Rally Stampede: Irregular Or Deregulated Police Action?". Nigerians In America. Retrieved 25 April 2018. [2]. Braa, J., Macome, E., Mavimbe C. & Jose, B.(2001). A study of the actual and potential usage of information and communication technology at district and provincial levels in Mozambique with a focus on the health sector. The Electronic Journal on information system in developing countries, 5, 1-29. [3]. Demographia (2016). "Demographia World Urban Areas" (PDF) (11th ed.). Retrieved 25 April 2018. https://www.amazon.com/Sciences-Artificial-Herbert-Simon/dp/0262691914 [4]. Hudgens, Jim; Trillo, Richard (2003). The rough guide to West Africa (4 ed.). Rough Guides. p. 1075. ISBN 1-843-53118-6. [5]. McCall, John Christensen (2000). Dancing histories: heuristic ethnography with the Ohafia Igbo. University of Michigan Press. p. 75. ISBN 0-472-11070-5. [6]. Njoku, Onwuka N (October 2008). "Eastern Nigeria Under British Rule" (PDF). Department of History, University of Nigeria. University of Nigeria, Nsukka: 23. [7]. Ogomaka P.M.C (1992): Types of research. In A.J. Isangedighi and Ogomaka, [8]. P.M.C. (Eds). Educational Research Methods, Owerri: Totan Pulishers Limited. Pp50. [9]. Okafor, S.O. (January 1973). "The Port Harcourt Issue: A Note on Dr Tamuno's Article" (PDF). African Affairs. Royal African Society. Oxford University Press. 72 (286): 74. Archived (PDF) from the original on 28 February 2015 [10]. Remlex, D. (2007). Information and communication in chronic disease care. Medical care Research and Review, 64(2), 123-147. [11]. Taylor, R. & Lee, H.C. (2005). Occupational therapists, perception of usage of information and communication technology in western Australia and the association of availability of ICT on recruitment and retention of therapists working in rural areas. Australian Occupation Therapy, 52, 51-56.
Egba Ifeanyichukwu, Amadi Gordon and Alalibo, Tamuno-Omie "The Impact of ICT Infrastructure: A Veritable Tool for Healthcare Professionals " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.80-84 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/80-84.pdf
This paper presents the impact of optical character recognition (OCR) for legal document notarization to enhance forensic studies. The notarized process will be done employing image processing techniques such as background filtration, binarization, morphological dilation, putative, matching among others for accuracy. The main aim of this research is to provide a novel and reliable bibliography to enhance criminal investigation. Some existing literatures will be reviewed, analyzed and a new system will be proposed. Use case diagram and other universal modelling languages will be used for the system modelling while matlab will be used for the system implementation.
- Page(s): 85-92
- Date of Publication: 01 October 2018
- Oleka Chioma VioletComputer Engineering, Enugu State University of Science and Technology, Enugu, Nigeria
References
[1]. Ms. DeeptiJoon, Ms. ShalooKikon; An Offline Handwritten Signature Verification System - A Comprehensive Review; International Journal of Enhanced Research in Science Technology & Engineering, ISSN: 2319-7463; Vol. 4 Issue 6, June-2015, pp: (433-439) [2]. Manal A. Abdullah, Lulwah M. Al-Harigy, and Hanadi H. Al-Fraidi; Off-Line Arabic Handwriting Character Recognition Using Word Segmentation; Journal Of Computing, Volume 4, Issue 3, March 2012, Issn 2151-9617. [3]. Amit Choudharya, Rahul Rishib, Savita Ahlawatc; Off-Line Handwritten Character Recognition using Features Extracted from Binarization Technique; ScienceDirect2013, AASRI Conference on Intelligent Systems and Control. [4]. ChandanKumar; Hand-Written Character Recognition Using Artificial Neural Network. 2014. [5]. Gatos, B., Pratikakis, I. &Perantonis, S. J., 2006. “Hybrid off-line cursive handwriting word recognition in proceedings of 18th international conference on pattern recognition (ICPR’06), 2, pp. 998–1002. [6]. Anders Hast And Andrea Marchetti . Putative Match Analysis A Repeatable Alternative To Ransac For Matching Of Aerial Images;- International Conference On Computer Vision Theory And Applications. 2012. [7]. Zuliani, M., 2009. RANSAC for dummies. pp. 42. https://vision.ece.ucsb.edu/~zuliani/Research/RANSAC/docs/RANSAC4Dummies.pdf [8]. Habib, Mohammed and Hussien; Detection and Tracking System of Moving Objects Based on MATLAB; (IJERT), ISSN: 2278-0181, IJERTV3IS100721 Vol. 3 Issue 10, October- 2014. [9]. Ambrose A. Azeta, Nicholas A. Omoregbe, AdewoleAdewumi, DolapoOguntade, Design of a Face Recognition System for Security Control. International Conference on African Development Issues (CU-ICADI) 2015: Information and Communication Technology Track. Department of Computer and Information Sciences, Covenant University, Ota, Ogun-State, Nigeria
Oleka Chioma Violet "The Impact of Optical Character Recognition with Putative Analysis for Legal Document Notarization in MATLAB for Forensic Analysis" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.85-92 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/85-92.pdf
This paper presents the design, construction and performance evaluation of steam boiler. It is aimed at improving an existing steam boiler through the incorporation of a heating element and a thermostat. The joining techniques and handling of the equipment for optimum usage was explained in details. The INVENTOR design shows the pictorial views, lines and dimensions for its mass production purposes. The electric steam boiler was put to test in order to determine its function ability and effectiveness through some experiment. When the electric steam boiler was tested, higher efficiency is obtained when compared with the already existing one. Therefore, it can be deduced that the constructed boiler can be operated with optimum efficiency when compared with existing one.
- Page(s): 93-100
- Date of Publication: 02 October 2018
- Adegbola Adeyinka Department of Mechanical Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria.
- Adeyemo Taiye Department of Mechanical Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria.
- Ojo Busayo Department of Mechanical Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria.
- Adegoroye Ademola Department of Mechanical Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria.
- Faluade Bolarinwa Department of Mechanical Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria.
References
[1]. Sanga, R.V., Papade, C.V., and Sonage, B.K, (2016) “A Review on Design & Analysis of Lancashire Boiler, International Journal of Latest Trends in Engineering and Technology (IJLTET), ‘’A Review on Design &Analysis of Lancashire Boiler, Vol 7 issue 2 July. [2]. Adeyemo, T., Adedeji, M.A., and Oyeniyi, F.A., (2011) “Design and Construction of Steam Boiler” Unpublished Undergraduate Project, Mechanical Engineering, LAUTECH,Ogbomoso, Oyo State. [3]. Waheed, M. A., I. O. Ohijeagbon, S. O. Jekayinfa, and O. E. Opadokun, (2013) Developmental design of a laboratory fire tube steam boiler”, ACTA corviniensis-bulletin of engineering tome, Vol. VI, ISSN 2067-3809. [4]. Gutiérrez Ortiz, F.J. (2011) “Modelling of fire-tube boilers”, Applied Thermal Engineering, Vol. 31, 3463-3478. [5]. Kumar,V. and P. Kumar, ,(2014) “ Mechanical design of pressure vessel by using PV-ELITE software”, 2014, International Journal of Scientific and Research Publications, Vol. 4, Issue 4,1 ISSN 2250-3153. [6]. Negi, P.Dr. A. Gupta, and V. Kumar (2014). “A Review: Heat Transfer Enhancement in Boiler Tube Using Different Geometry”, InternationalJournal of Innovative Science, Engineering & Technology, Vol. 1 Issue 9, ISSN 2348 – 7968. [7]. Tzolakis,G., P.Papanikolaou ,D. Kolokotronis , N.Samaras , A.Tourlidakis and A.Tomboulides, (2012). “Simulation of a coal-fired powerplant using mathematical programming algorithms in order to optimize its efficiency”, 48, 256-267. [8]. Gan ̃an, J. A. Al-Kassir, J.F. Gonza ́lez, J. Turegano, and A.B. Miranda (2005). “Experimental study of fire tube boilers performance forpublic heating”, Applied Thermal Engineering 25, 1650–1656. [9]. Ikechukwu, G. A., (2014) “Fabrication of Pilot Multi-Tube Fire-Tube Boiler Designed For Teaching and Learning Purposes in MechanicalLaboratory”, Proceedings of the World Congress on Engineering Vol 2, ISSN: 2078-0966.
Adegbola Adeyinka, Adeyemo Taiye, Ojo Busayo, Adegoroye Ademola, and Faluade Bolarinwa "Design, Construction and Performance Evaluation of Electric Steam Boiler " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.93-100 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/93-100.pdf
Groundwater is of major importance to civilization, because it is the largest reserve of drinkable water in regions where humans can live. The pollution of groundwater by Non Aqueous Phase Liquid (NAPL) has become an increasing concern with industrialization. Although steam injection has been developed as one of the remediation techniques, the need for its improved recovery efficiency using other methods has been a subject of continuous study. The aim of this study was to investigate the effect of magnetic field on groundwater remediation using steam injection. The governing equations for simulation of three phase flow in groundwater were developed based on conservation of mass, momentum and energy. The incorporated steam injection as a flux source and magnetic field as a body force. Numerical model was subsequently developed by solving the equations using finite element technique. The model was first used to determine recovery efficiency of benzene in an aquifer containing sand of porosity 0.2 and permeability of 1 x 10-16 m-2 with steam injection at 0.01m3/s. Thereafter, recovery efficiency was determined for incidence of steam injection 0.01m3/s with varying magnetic field 0.2–0.4 T in step of 0.1 T. The numerical model was used to determine the recovery efficiency of ethanol for all the cases treated in numerical investigations of recovery of benzene. The numerical results for recovery efficiency of benzene using steam injection at 0.01m3/s was 71.77% while that with magnetic field at 0.2-0.4 T yielded 79.28-87.28%. The numerical results for recovery efficiency of ethanol using steam injection at 0.01m3/s was 74.75% while that with magnetic effect at 0.2-0.4 T yielded 80.61-86.22%. A combined application of steam injection with magnetic field appreciably enhances groundwater remediation. The study thus suggests that application of magnetic strength could be used as part of remediation plan for groundwater.
- Page(s): 101-111
- Date of Publication: 02 October 2018
- A.A. Adegbola Department of Mechanical Engineering, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria
- A.A. DareDepartment of Mechanical Engineering, University of Ibadan, Ibadan, Nigeria
References
[1]. Ambashta R.D. and Sillanpaa M. (2010). Water purification using magnetic assistance: A review. Journal of Hazardous Materials, 180: 38-49. [2]. Baoku, I.G. Cookey, C.I. and Olajuwon, B.I. (2010). Magnetic Field and Thermal Radiation Effects on Steady Hydromagnetic Couette Flow Through a Porous Channel. Surveys in Mathematics and its Applications ,Volume 5, 215 – 228. [3]. Baroncini, C., Di Filipo, P. Latini, G. and Pacetti M. (1981). Thermal Cond., (pub. 1983), 17th, Plenim Pub. Co., p. 285. [4]. Baroncini, C., Di Filippo, P. and Latini G. (1983). Comparison Between Predicted and Experimental Thermal Conductivity Values for the Liquid Substances and the Liquid Mixtures at Different Temperatures and Pressures, paper presented at the Workshop on Thermal Conductivity Measurement, IMEKO, Budapest, March 14–16. [5]. Baroncini, C., Latini, G. and Pierpaoli P. (1984). Thermal Conductivities of Pure Liquids, Intern. J. Thermophys., 5(4): 387. [6]. Batschinski, A. J. (1913). Relationship between PVT and Rheological Measurements, Z. Physik. Chim., 84: 643. [7]. Boublik, T., Fried, V. and Hala E. (1984). The Vapor Pressures of Pure Substances, 2d rev. ed., Elsevier, New York. [8]. Brokaw, R. S. (1968). Viscosity of Multicomponents Gas Mixtures, NASA Tech. Note D-4496, April. [9]. Chueh, P. L., and Prausnitz J.M. (1976). Bubble Point Pressures and Liquid Densities of Refrigerant Mixtures, Ind. Eng. Chem. Fundam., 6: 492. [10]. Chung, T. H., Ajlan, M. Lee, L.L. and Starling, K.E. (1988). Estimation of Low-Pressure Gas Viscosity, Ind. Eng. Chem. Res. 27: 671. [11]. Chung, T. H., Lee, L.L. and Starling, K.E. (1984). Thermal Conductivities of Polyatomic Gas, Ind. Eng. Chem. Fundam., 23: 8. [12]. Class H., Helmig R. and Bastian P. (2002). Numerical simulation of non-isothermal multiphase multicomponent processes in porous media.1. An efficient solution technique. Advances in Water Resources., 25, 533–550. [13]. Class, H. (1999). Numerical simulation of non-isothermal steam injection processes in NAPL –contaminated porous media. In: Hydraulic Engineering for Substainable Water Resources Management at the Turn of the Millenium (Proc. 28th IAHR Biennial Congress, Grac). International Association for Hydraulic Research. [14]. Dare, A.A. and Sasaki, M. (2012). Numerical Investigation of Magnetic Effect on Migration of Pollutant in Groundwater, Proceedings of the Fifth International Groundwater Conference (IGWC-2012), Water and environment, Department of Geology, Maulana Azad College, Aurangabad, Maharashtra, India, 3, 100-107. [15]. Daubert, T. E., Danner, R. P. Sibel, H. M. and Stebbins C.C. (1997). Physical and Thermodynamic Properties of Pure Chemicals: Data Compilation, Taylor & Francis, Washington, D. C. [16]. Davis, E. L. (1998).Ground Water Issue Steam Injection for Soil and Aquifer Remediation,United States Environmental Protection Agency Office of Solid Waste and Emergency Response Office of Research and Development, EPA/540/S-97/505. [17]. Dean, J.A. (1999). Lange’s Handbook of Chemistry, 15th ed., McGraw-Hill, New York. [18]. Duwairi , H. M. Zeid O.A, and Damseh R.A. (2007). Viscous and Joule Heating Effects over an Isothermal Cone in Saturated Porous Media. Jordan Journal of Mechanical and Industrial Engineering,Volume 1, Number 2, Dec. 2007, Pages 113 – 118. [19]. Gudbjerg, J. Sonnenborg, T.O. and Jensen K.H. (2004). Remediation of NAPL below the water table by steam-induced heat conduction. Elservier Journal of Contaminant Hydrology 72, 207– 225. [20]. Gunn, R. D., and Yamada T. (1971). Correlation and Estimation of Vapour-Liquid, AIChE J., 17: 1341. [21]. Hankinson, R. W. and Thompson G.H. (1979). A New Correlation for Saturated Densities of Liquids, AIChE J., 25: 653. [22]. Helmig, R., Class, H. Farber, A. and Emmert, M. (1998). Heat transport in the unsaturated zone:comparison of experimental results and numerical simulations. J. Hydraul. Res. 36(6), 933-962. [23]. Herning, F., and Zipperer L. (1936). Viscosities of Gas Mixtures at Low Pressures, Gas Wasserfach, 79: 49. [24]. Hildebrand, J. H (1971). Self Diffusion and Viscosity of some Liquids, Science, 174: 490. [25]. Hirschfelder, J.O. Curtiss, C.F. and Bird, R.B. (1954). Molecular Theory of Gases and Liquids, Wiley, New York. [26]. Ivakhnenko,O.P. and Potter D.K. (2004). Magnetic susceptibility of petroleum reservoir fluids. Elsevier Physics and Chemistry of the Earth ,29 pp 899–907. [27]. Johnson, D. W., and Colver C. P. (1969). Hydrocarbon Process. Petrol. Refiner, 48(3): 113. [28]. Kestin, J. Khalifa, H.E. and Wakeham, W.A. (1977). Diffusion Coefficient for Binary Gas Systems at Low Pressure, Physica, 88A: 242. [29]. Kestin, J. Khalifa, H. E. and Wakeham, W. A. (1976). Viscosities of Gas Mixtures at Low Pressure, J. Chem. Phys., 65: 5186. [30]. Landolt-Bornstein, T. (1955). Estimation of Low-Pressure Gas Viscosity, Springer-Verlag, Berlin, vol. 4, pt. 1. [31]. Latini, G., and Pacetti M. (1977). Estimation of the Thermal Conductivities of Pure Liquids, J. Therm. Conduct., 15: 245; pub. 1978. [32]. Li, C.C. (1971). A New Correlation for Saturated Densities of Liquids, J. Chem. Eng., 19: 709. [33]. Lide, D. R , (1999). CRC Handbook of Chemistry and Physics, 80th ed., CRC Press, Boca Raton, FL. [34]. Mansour, M.A. Chamkha, A.J. Mohamed, R.A. Abd El-Aziz, M.M. and Ahmed S.E. (2010). MHD natural convection in an inclined cavity filled with a fluid saturated porous medium with heat source in the solid phase. Nonlinear Analysis: Modelling and Control, Vol. 15, No. 1, 55–70. [35]. Mason, E. A (1958). Theory for Calculating the conductivity for rare-gas J. Chem. Phys., 28: 1000. [36]. Mason, E. A. and Monchick, L. (1962). Heat Conductivities of Polyatomic Gases, J. Chem. Phys., 36: 1622. [37]. Mason, E. A., and Saxena, S. C. (1958). Estimation of Thermal Conductivities of Low Pressure Gas Mixtures, Phys. Fluids, 1: 361. [38]. Mason, E. A., and von Ubisch H. (1960). Viscosities of Multicomponent Gas Mixtures, Phys. Fluids, 3: 355. [39]. Neufeld, P. D. Janzen, A. R. and Aziz, R. A. (1972). Estimation of Low –Pressure Gas Viscosity, J. Chem. Phys., 57: 1100. [40]. Orrick, C., and Erbar J. H (1974).: personal communication, December 1974. [41]. Perry, R. H., and Green, D. W. (1997). Perry’s Chemical Engineers’ Handbook, 7th ed., McGraw-Hill, New York. [42]. Przezdziecki, J. W., and T. Sridhar (1985). Estimation of Low-Temperature Liquid Viscosity AIChE J., 31: 333. [43]. Racket, H.G. (1970). Saturated Liquid Densities as a Function of Temperature, J.Chem. Eng Data, 15:514. [44]. Rani, T.R. Rao, C.N.B. and Prasannam V.L. (2010) Effect of Radiation and Magnetic Field on Mixed Convection at a Vertical Plate in a Porous Medium with Variable Fluid Properties and Varying Wall Temperature Proceeding of International Multiconference of Engineers and Computer Scientists Vol III, March 7-10, 2010. [45]. Roy, D., and Thodos G. (1970). Reduced thermal Conductivities of Polyatomic Gases, Ind. Eng. Chem. Fundam., 9: 71. [46]. Sharma, H. D., and Reddy, K. R., (2004). Geoenvironmental Engineering: Site Remediation, Waste Containment, and Emerging Waste Management Technologies, John Wiley & Sons, Hoboken, New Jersey. [47]. Smith, J. M., Van Ness, H. C. and Abbott M. M. (1996). Introduction to Chemical Engineering [48]. Spencer, C. F. and Danner, R.P. (1973). Prediction of Bubble-Point Density of Mixtures, J. Chem. Eng. Data, 18: 230. [49]. Stephan, K., and Lucas, K. (1979). Viscosity of Dense Fluids, Plenum, New York. [50]. Tabellen,L.B. (1955). Experimental Values of Low-Pressure Gas, vol. 4, pt. 1, Springer-Verlag, Berlin. [51]. Tandon, P. K., and S. C. Saxena (1965). Properties of Gases and Liquids, Appl. Sci. Res., 19: 163. [52]. Tansel B. (2008). New technologies for water and waste water treatment: A survey of recent patents. Recent Patents on Chemical Engineering, 1: 17-26. [53]. Teja, A. S (1980). Estimation of Liquid Mixture Viscosity, AIChE J., 26: 337. [54]. Teja, A. S., and Sandler S. I. (1980). Estimation of Liquid Mixture Viscosity, AIChE J., 26: 341 [55]. Thermodynamics, 5th ed., McGraw-Hill, New York. [56]. Vargaftik, N. B., Vinogradov, Y. K. and Yargin V. S. (1996). Handbook of Physical Properties of Liquids and Gases, Begell House, New York. [57]. Vetere, A. (1995). Method to Predict the Vaporization Enthalpies at the Normal Boiling Point, Fluid Phase Equil., 106: 1. [58]. Vogel. E., and Weiss A. (1981). Measurements of the Viscosities of Saturated and Compressed Liquid, Ber. Bunsenges. Phys. Chem., 85: 539. [59]. White, M.D. Oostrom, M. and Lenhard R.J. (2004). A Practical Model for Mobile, Residual, and Entrapped NAPL in Water-Wet Porous Media. Vol. 42, No. 5–Ground Water–September–October 2004 (pages 734–746). [60]. Wilke, C. R (1950). Viscosities of Multicomponent Gas Mixtures, J. Chem. Phys., 18: 517. [61]. Yamada. T. and Gunn R.D. (1973). Guildelines for Liquid Density Prediction, J. Chem. Eng. Data, 18: 234. [62]. Yang Y.S McGeough K.L. Kain, R.M. Dickson K.W. (2003). Numerical Modelling of Remediation for Contaminated land and Groundwater. Bull Environmental Contamination Technology. 71:729-736.Springer Verlag. [63]. Yaws, C. L (1995). Handbook of Viscosity, Gulf Pub., Houston. [64]. Yaws, C.L. (1992). Thermodynamic and Physical Property Data, Gulf Pub. Co., Houston. [65]. Yorizane, M., S. Yoshimura, H. Masuoka, and H. Yoshida (1983). Thermal Conductivities of Gas Mixtures at High Pressure, Ind. Eng. Chem. Fundam., 22: 458.
A.A. Adegbola and A.A. Dare "Numerical Investigation of Groundwater Remediation using Steam Injection with Magnetic Effect" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.101-111 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/101-111.pdf
Fracture gets produced in a structure by either during the manufacturing process or in the course of the normal service life of the Structure. So, this paper is about the study of fracture Behaviour, when the structure is subjected to a Static load and Dynamic load. The structure chosen for this paper is flat plate because it can be assumed as an Aircraft Wing Structure. So, when Aircraft Wing Structure having a certain crack when subjected to dynamic Load. How the fracture will behave, whether it will propagate or not, what will be the maximum safe load for the operation. The Analysis is done on ABAQUS by J-Integral Method. .So that, instead of undergoing an expensive change of structure, it can operate in that safe region. Thus saving money, time and materials.
- Page(s): 112-118
- Date of Publication: 04 October 2018
- Sachin Saj T KAmrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore-641112, Tamil Nadu, India
- Shankar Saj T KAmrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore-641112, Tamil Nadu, India
References
[1]. U.Zerbt, M.Madia, M.Vormwald, H.Th.Beier“ Fatigue Strength and Fracture mechanics-general perspective", Engineering Fracture Mechanics, In press, corrected proof, available online 20 April 2017. [2]. Zichao Pan, Rujin Ma, Dalei Wang, Airong Chen “Review on Fracture and Crack propagation-a fracture mechanics perspective", Engineering Fracture Mechanics, Volume 132, December 2014, pages 200-276 [3]. Giancarlo, Gonzales, Julian,"A J-integral approach using digital image correlation for evaluating stress intensity factors in fatigue cracks with closure effects, theoretical and applied fracture mechanics, volume 90, August 2014,page14-21 [4]. Xin Cui, Hong LI," Contour integral approaches for the evaluation of stress intensity factor using displacement discontinuity method, engineering analysis with boundary elements, volume 82, September 2017, pages 119-129 [5]. Weigang, Annan Zhou,”Evaluation of stress intensity factor for cast iron pipes with sharp corrosion pits", engineering failure analysis, volume 81, November 2017, pages 254-269
Sachin Saj T K, Shankar Saj T K "Comparative Fracture Study under Dynamic Conditions on a Flat Plate" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.112-118 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/112-118.pdf
Aluminium matrix composite are being used in various applications such as military, aerospace, electrical industries and automotive industries due to their superior physical and mechanical properties. The addition of reinforcements into the metallic matrix improves the stiffness, specific strength, wear resistance, creep and fatigue properties compared to the conventional engineering materials. This paper reports the effect of silicon carbide reinforcement in the aluminium alloy. Effect of silicon carbide reinforcement on AMCs on the various properties like tensile strength, strain, hardness, wear and fatigue are also studied in this paper.
- Page(s): 119-123
- Date of Publication: 04 October 2018
- Yathiraj KResearch Scholar, Acharya Institute of Technology, Bengaluru, Karnataka, India
- M.H. Annaiah Acharya Institute of Technology, Bengaluru, Karnataka, India
References
[1] Naveen, G., Chethan, N., Gururaja, R., Lokesh, K., and Chetan Kumar, B. M., “Effect of Silicon Carbide on Mechanical Properties of Aluminium Alloy (A357) Composite (Al Sic)”, International Journal of Engineering Research in Mechanical and Civil Engineering (IJERMCE), 2, pp 1061-1064, 2017. [2] Narinder Kaushik., and Sandeep Singhal., “ Examination of Wear Properties in Dry-Sliding States of SIC Strengthened Al-Alloy Metal Matrix Composites by Using Taguchi Optimization Approach”, International Journal of Applied Engineering Research, 12, pp 9708-9716, 2017. [3] Smrutiranjan Pradhan., Tapan K. Barman., Prasanta Sahoo., and Goutam Sutradhar., “Effect of SiC weight percentage on tribological properties of Al-SiC metal matrix composites under acid environment”, Jurnal Tribologi, 13, pp 21-35, 2017. [4] K.R.Padmavathi1., and R. Ramakrishnan., “Tribological properties of micro and nano SiC reinforced Aluminium metal matrix composites”, International Journal of ChemTech Research, 10, pp 367-372, 2017. [5] Ajith Arul Daniela., Sakthivel Murugesana., Manojkumara., and Sudhagar Sukkasamya., “ Dry Sliding Wear Behaviour of Aluminium 5059/SiC/MoS2 Hybrid Metal Matrix Composites”, Materials Research, 20(6), pp 1697-1706, 2017. [6] Sachin Mohal., “Microstructural Investigation of Aluminium- Silicon Carbide Particulate Metal Matrix Composite Fabricated by Stir Casting”, IJIRST –International Journal for Innovative Research in Science & Technology, 3(11), pp 26-30, 2017. [7] Rajesh Agnihotri., and Santosh Dagar., “Mechanical Properties of Al-SiC Metal Matrix Composites Fabricated by Stir Casting Route”, Research in Medical & Engineering Sciences, 2(5), pp 1-6, 2017. [8] L. Avinash, T. Ram Prabhu, and Srikanth Bontha, “The Effect on the Dry Sliding Wear Behavior of Gravity Cast A357 Reinforced with Dual Size Silicon Carbide Particles”, Applied Mechanics and Materials. 829, pp 83-89, 2016. [9] Poornesh, M., Harish, N., and Kiran Aithal, “Mechanical and Tribological Properties of Centrifugally Cast Al-Si-SiC Composites”, American Journal of Materials Science., 6(4A), pp 31-35, 2016. [10] A. O. Inegbenebor, C. A. Bolu, P. O. Babalola, A. I. Inegbenebor, and O. S. I. Fayomi, “Aluminum Silicon Carbide Particulate Metal Matrix Composite Development Via Stir Casting Processing”, Silicon., 10, pp 343-347, 2016. [11] A. O. Inegbenebor, C. A. Bolu, P. O. Babalola, A. I. Inegbenebor, and O. S. I. Fayomi, “Influence of the grit size of silicon carbide particles on the mechanical and electrical properties of stir casting aluminium matrix composite material”, Silicon., 8, pp 573-578, 2016. [12] Pranjal Bordoloi., Amit Singla., and Amit Chauhan., “Study on Mechanical Properties and Microstructure of Aluminum Alloy 63401 Metal Matrix Composite Reinforced with Silicon Carbide Powder”, Indian Journal of Science and Technology, 9(36), pp 1-6, 2016. [13] Smrutiranjan Pradhan., Tapan Kr. Barman., Prasanta Sahoo., Goutam Sutradhar., and Shouvik Ghosh., “Tribological Behavior of Al-SiC Metal Matrix Composite in Acidic Medium”, International Journal of Engineering and Technologies, 8, pp 24-31, 2016. [14] Amir Hussain Idrisi., Gaurang Deep., and Vijay Sharma., “Fabrication of aluminum matrix composite reinforced by SiC Nano particles for enhancing its mechanical characteristics”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), 4(10), pp 89-96, 2016. [15] Pavan Kumar., Sanjay Soni., R. S. Rana., and Alok Singh., “Mechanical Behavior And Dry Sliding Wear Response of Al-Si-Sic Particulate Composite”, Proceedings of The IRES 9th International Conference, Hong Kong, pp 40-48, 2015. [16] Mohd. Suhail., Mahmood Alam., and Reyaz Ur Rahim., “The Effect of Process Parameter on Metal Matrix Composite (Al+4%Cu+5%Sic) By Stir Casting”, International Journal of Engineering Trends and Applications (IJETA), 2(1), pp 28-33, 2015. [17] Aykut Canakci., and Temel Varol., “Microstructure and Properties of AA7075/Al-SiC composites fabricated using powder metallurgy and hot pressing”, Powder Technology, 268, pp 72-79, 2014. [18] Amir Hussain Idrisi., Vikas Dev Singh., and Vipul Saxena., “Development and testing of Al5083 alloy reinforced by SiC particles”, International Journal of Scientific Research Engineering & Technology (IJSRET), 2(11), pp 697-704, 2014. [19] J. Jebeen Moses., I. Dinaheran., and S. Joseph Sekhar., “Characterization of Silicon Carbide Particulate Reinforced AA6061 Aluminium Alloy composites produced via stir casting”, Procedia Materials Science, 5, pp 106-112, 2014. [20] Shiming Hao., Jingpei Xie., Aiqin Wang., and Ming Fang., “Preparation, Properties and Microstructure of SiC Particle Reinforced Al-Si Matrix Composite”, Materials Transactions, 55, pp 750-753, 2014. [21] Dr.Govind Nandipati., Dr.Ravindra Kommineni., and Dr. Nageswara Rao Damera., “Study on Processing and Mechanical Properties of nano SiCp reinforced AA7075”, The International Journal of Engineering And Science (IJES), 3(12), pp 29-34, 2014. [22] Salim Sahin., Nilay Yuksel., Hulya Durmus., and Simge Gencalp Irizalp., “Wear Behavior of Al/Sic/Graphite and Al/Feb/Graphite Hybrid Composites”, Materials and technology, 48(5), pp 639-646, 2014. [23] Ghauri,K.M., Ahmad, A., Ahmad, R., Din, K.M., and Chaudhry, J.A., “ Synthesises and Characterization of Al-SiC composite made by stir casting method”, Pakistan Journal of Engineering and Applied Science, 12, pp 102-110, 2013. [24] N. Altinkok., I. Ozsert., and F. Findik., “ Dry sliding wear behavior of Al2O3/ SiC particles reinforced aluminium based MMCs fabricated by stir casting method”, Acta Physica Polonica A, 124, pp 11-19, 2013
Yathiraj K, M.H. Annaiah "Effect of Silicon Carbide Reinforcement on the Characteristics of Aluminium Matrix Composites: A Review" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.119-123 https://dx.doi.org/10.51583/IJLTEMAS.2018.7901
This study is Design to understand the role of Consumer Towards online Shopping. This paper analyzed the Different type Issue of Online Shopping. The Research main aim to Provide Theory of calculated in understanding the present attitude status of online shopping and evaluate the factor that affecting the online Shopping. The Study describes insights into Consumers online Shopping attitude and Preferences and Findings revel that online shopping brings optimum facility to the consumers.
- Page(s): 124-128
- Date of Publication: 05 October 2018
- Krishna Kant BhartiySTEP-HBTI, Kanpur, Uttar Pradesh, India
- Amarpal Kumar JaisawalSTEP-HBTI, Kanpur, Uttar Pradesh, India
References
[1]. https://www.statista.com/topics/2454/e-commerce-in-india [2]. Andrew, J. R and Vanitha, S. (2004). A typology of online shoppers based on shopping motivations, Journal of Business Research Vol. 57 PP. 748–757.
Krishna Kant Bhartiy, Amarpal Kumar Jaisawal "A Study of Consumer Attitude towards Online Shopping" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.124-128 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/124-128.pdf
The concept of customer relationship management and consumer behaviour are not new to various industrial verticals. It is equally interesting to know whether customer relationship management leads to better insights of the consumer behaviour or the vice versa i.e., understanding the consumer behaviour dynamics will lead to build a better customer relationship management. In the current paper, we have touched upon the types of consumer products based on consumer behaviour and the various factors that influence consumer behaviour. We have also discussed on the various consumer behaviour dynamics, knowledge of which will enhance the relationship levels and the CRM metrics that will bring in a positive change in consumer behaviour dynamics. We mentioned about the limitation of the research work and conclude on discussing the two Hypothesis proposed and in support of the arguments based on the feedback of the survey data.
- Page(s): 129-132
- Date of Publication: 05 October 2018
- V. Venkata NarayanaSenior Manager Marketing, ITC Limited, Hyderabad, India
- A. Kanaka DurgaProf & HOD-IT, Stanley College of Engg & Tech for Women, Hyderabad, India
References
[1]. Arnould, E., Price, L., & Zinkhan, G. (2002) Consumers. 1st edition. McGrawHill. [2]. Hawkins, D, Best, R., & Coney, K. (2004), Consumer Behavior. 9th edition. McGrawHill. [3]. Engel, JF, Blackwell, RD & Miniard, PW. (1995),Consumer Behavior. International edi..Florida. Dryden. [4]. Schiffman, LG & Kanuk, LL. (2000), Consumer Behavior. 7th edition. London. Prentice Hall. [5]. Babutsidze, Z. (2007), "How Do Consumer Make Choices?," Working Paper Series. United Nations University. The Netherlands [6]. Hansen, Flemming (1972), Consumer Choice Behavior: A Cognitive Theory. The Free Press, New York and Collier-Macmillan, London. [7]. Krigjsman (2007), Characteristic Affecting Consumer Purchase Behavior. [8]. Kotler, P., Armstrong, G., Brown, L., and Adam, S. (2006), Marketing. 7th edition. Pearson Education Australia/Prentice Hall. [9]. Dr.V.Venkata Ramana,,G,Somayajulu, M.L. Sai Kumar, (2003) Customer Relationship Management- A key to corporate success , published by Excel books, New Delhi. [10]. Farris, Paul W.; Neil T. Bendle; Phillip E. Pfeifer; David J. Reibstein (2010). Marketing Metrics: The Definitive Guide to Measuring Marketing Performance. Upper Saddle River, New Jersey: Pearson Education, Inc. ISBN 0-13-705829-2.
V. Venkata Narayana, A. Kanaka Durga "An Exploratory Research on Consumer Behaviour and Its Impact on Customer Relationship Management" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.129-132 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/129-132.pdf
The Goods and Services Tax was implemented on july1, 2017.GST was planned to implemented in April 2010, but it was postponed due to political pressures and lack of interest of stakeholders Traditionally India's tax regime relied heavily on indirect taxes. There are endless taxes in present system few levied by Centre and rest levied by state, to remove this multiplicity of taxes and reducing the burden of the tax payer a simple tax is required and that is Goods and Service Tax (GST). This paper throws an insight into the history of GST, Tax structure before GST in India, Goods & Services Tax Council (GSTC), Goods and services Tax Network (GSTN).
- Page(s): 133-136
- Date of Publication: 06 October 2018
- Hema NeelamAssistant Professor, Balaji Institute of Management Sciences, Narsampet - Warangal (Rural), Telangana, India
- Bhagya LaxmiAssistant Professor, WITS College, Telangana, India
References
[1]. Garg, Girish (2014) “Basic concept and features of GST in India”. [2]. Kelkar, Vijay, et al (2004), Report on implementation of the fiscal Responsibility and [3]. Budget Management Act 2003, Ministry of finance, Government of India, New Delhi [4]. Khan,M.A , and Shadab N, Goods and Service Tax (GST) in India: Prospect for states [5]. Ministers, T.E., (2009) First discussion paper on good and service tax of India, New [6]. https://www.ficci.com [7]. https://www.gktoday.in/blog/indirect-tax-reforms-in-india/ [8]. www.gstindia.com
Hema Neelam, Bhagya Laxmi "GST and Its Outcome in India" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.133-136 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/133-136.pdf
- Cash is a vital firm asset in spite of the fact that coin and paper currency can be analyzed & taken care of the real piece of the cash of mainly implementation of bank financial report which tells to belongings to cash as unrelated to tangible property. The main aspect of cash management is to maintain an optimum cash balance. Efficient cash management processes are pre-requisites to execute payments, collect receivables and manage liquidity. Hence from the above recommendation may suggest that in maximum sense trade implies cash in hand and at the bank so far in the more extensive sense it is the deposit in banks, currency, bank draft. This paper aims to study the optimum cash balance required by the company by applying Baumol’s model.
- Page(s): 137-140
- Date of Publication: 06 October 2018
- Jyothi VashappanavarStudent of MBA Dept, KLE Dr MSSCET Department of MBA, Affiliated to Visvesvaraya Technological University Belagavi, Karnataka, India
- Prof Prayag GokhaleAsst Prof. Dept of MBA, KLE Dr MSSCET Department of MBA, Affiliated to Visvesvaraya Technological University Belagavi, Karnataka, India
References
[1]. Amoako,Marfo,Gyau and Asamoah “Cash Budget an Imperative Element of Effective Financail Management” 2013,35(6),163-258. [2]. Jeffrey Hales and Steven Orpurt, “A review of Academic research on the reporting of the cash flow from the operations, AAA journals”, Vol. 27, Iss. 3,2013.
Jyothi Vashappanavar, Prof Prayag Gokhale "A Study on Management of Cash & Cash Equivalent in Co-operative Sugar Industry" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.137-140 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/137-140.pdf
The population growth and decay problems arise in the field of chemistry, physics, biology, social science, zoology etc. In this paper, we used Laplace transform for solving population growth and decay problems and some applications are given in order to demonstrate the effectiveness of Laplace transform for solving population growth and decay problems.
- Page(s): 141-145
- Date of Publication: 08 October 2018
- Sudhanshu AggarwalAssistant Professor, Department of Mathematics, National P.G. College Barhalganj, Gorakhpur-273402, U.P., India
- Anjana Rani GuptaProfessor, Department of Mathematics, Noida Institute of Engineering & Technology, Greater noida-201306, U.P., India
- D.P. SinghAssistant Professor, Department of Botany, National P.G. College Barhalganj, Gorakhpur-273402, U.P., India
- Nirbhaya AsthanaAssistant Professor, Department of Botany, National P.G. College Barhalganj, Gorakhpur-273402, U.P., India
- Neeraj KumarAssociate Professor, Department of Chemistry, Shivalik College of Engineering, Dehradun-248197, U.K., India
References
[1]. Weigelhofer, W.S. and Lindsay, K.A., Ordinary Differential Equations & Applications: Mathematical Methods for Applied Mathematicians, Physicists, Engineers and Bioscientists, Woodhead, 1999. [2]. Ahsan, Z., Differential Equations and Their Applications, PHI, 2006. [3]. Roberts, C., Ordinary Differential Equations: Applications, Models and Computing, Chapman and Hall/ CRC, 2010. [4]. Braun, M., Differential Equations and Their Applications, Springer, 1975. [5]. Abell, M.L. and Braselton, J.P., Introductory Differential Equations, Academic Press, 2014. [6]. Ang, W.T. and Park, Y.S., Ordinary Differential Equations: Methods and Applications, Universal Publishers, 2008. [7]. Gorain, G.C., Introductory Course on Differential Equations, Narosa, 2014 [8]. Zill, D.G. and Cullen, M.R, Differential Equations with Boundary Value Problems, Thomson Brooks/ Cole, 1996. [9]. Bronson, R. and Costa, G.B., Schaum’s Outline of Differential Equations, McGraw-Hill, 2006. [10]. Kapur, J.N., Mathematical Modelling, New-Age, 2005. [11]. Dass, H.K., Advanced Engineering Mathematics, S. Chand & Co. Ltd, 2007. [12]. Raisinghania, M.D., Advanced Differential Equations, S. Chand & Co. Ltd, 2015. [13]. Jeffrey, A., Advanced Engineering Mathematics, Harcourt Academic Press, 2002. [14]. Stroud, K.A. and Booth, D.J., Engineering Mathematics, Industrial Press, Inc., 2001. [15]. Greenberg, M.D., Advanced Engineering Mathematics, Prentice Hall, 1998.
Sudhanshu Aggarwal, Anjana Rani Gupta, D.P. Singh, Nirbhaya Asthana, Neeraj Kumar "Application of Laplace Transform for Solving Population Growth and Decay Problems" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.141-145 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/141-145.pdf
Temperature is the key natural resource on which the others depend. It influences food production, ground water and energy availability. The main objective of the research study is modeling and forecasting of temperature in case of Mekelle, which is found in north western zone of Tigray region . The goal of this research study was to examine the temperature of Mekelle city in the past 26 years, at present and forecasting the temperature of the city for the coming about 10 years. Source of the data and type of data are secondary source of data and secondary data respectively. The data is collected from the national metrology agency of Tigray region branch recorded from 1991 to 2016 of 26 years.
- Page(s): 146-153
- Date of Publication: 08 October 2018
- Venkata Subbarao UppuDepartment of Statistics Adigrat University, Ethiopia
References
[1] Akgiray U.U. Bollerserve T. Taylor S. (1989) condition in time series generalized Autoregressive conditional heteroscedasticity. [2] AntonisAlexandridisk.,AchilleasD.Zapronis,(2007). Modeling and forecasting temperature based weather derivatives. [3] Arthur Getis, TeromeFellmane(2000).Introduction of Geography MC Grow Hill companies. [4] A.ZapranisandA.Alexandridis,“Waveletanalysisandweather derivatives pricing,” in Proceedings of the 5th Hellenic Finance and Accounting Association (HFAA ’06), Thessaloniki, Greece, December2006. [5] A. Zapranis and A. Alexandridis, “Modelling the temperature time-dependent speed of mean reversion in the context of weatherderivativespricing,”AppliedMathematicalFinance,vol. 15,no.3-4,pp.355–386,2008 [6] B. Dischel, “Shaping history for weather risk management,” EnergyPowerRisk, vol.12, no.8, pp.13–15, 1999 [7] BeyeneDollicho, EsayasShahl, FekadeShweakena (1996). Geography of Ethiopia press Addis Ababa University, Ethiopia. [8] Box and piece D.(1970), Distribution of auto regression in autoregressive moving average time series odes Journal of American statistics association. [9] Box D. and JenkisG.M (1996), Time series analysis forecasting and country revised edition, Oakland Al Haddemdoy. [10] Bruce L., Bowerman and Richard T. O’connell,(1997), Applied statistics . [11] C B Gupta and VIJAY GUPTA, (2004, Revised edition 23), An introduction to statistical methods. ISBN: 978-81259-1654.3 [12] Cheris Chris (1996). Time series Chapman and Hall, New Year [13] Darin Brooks, Msc,college the north atlantic,(2015),Time series analysis and forecasting. [14] Gardner RH, Hargrove WG, Turner MG, Romme WH (1996) Climate change, disturbances and landscape dynamics. In: Global Change and Terrestrial Ecosystems [15] (Ed. by B. Walker and W. Steffen), Cambridge University Press, Great Britain, 149-172. [16] Gebremedhin B (2002) Engineering Geological Investigation of Mekelle area, Tigray, Northern Ethiopia. M.Sc. Thesis, Addis Ababa University, Addis Ababa, pp. 163. [17] Houghton J (1994) Global Warming, Cambridge University Press, Great Britain. [18] KebedeTekle and TesfaShiferaw. Introduction of geography of Ethiopia (1996) press Addis Ababa University Ethiopia. [19] Melillo JM, Callaghan TV, Woodward FI, Salati E, Sinha K (1990) Climate Change: Effects on Ecosystems. In: Houghton JT, Jenkins GJ, Ephraums JJ (eds.) Climate Change, Cambridge University Press, New York, 283-310. [20] Md.Zuifequr Ahmed (1998). Text book of practical Geography published New Delhi 110059(India) [21] Najd Hussain (1994) Climatology mol publication pub, Ltd New York. [22] R.Lyman off, Michael longnecker, (2011, fifth edition), an introduction to statistical methods and data analysis.
Venkata Subbarao Uppu "Modeling and Forecasting of Average Yearly Temperature in Case of Mekelle City, Tigray, Ethiopia" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.146-153 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/146-153.pdf
License plate recognition (LPR) technique is a technique which is used to detect, identify and recognize the characters. This work focuses on recognition of Indian cars license plate recognition. This LPR system mainly consists of following sub stages Plate localization, Preprocessing of captured image, grouping of the characters, feature extraction, classification, associated testing and character recognition. In this work, we propose a novel hierarchical character recognition scheme based on supervised K-means and Support Vector Machine (SVM) which not only recognize clear images but also blurred license plate images. Supervised K-means has been used to classify characters into subgroups. Characters of subgroups are further classified by support vector machine based algorithm. Advantage of the proposed approach is to reduce the classes of characters in each subgroup and to further reduce their complexity. This improves accuracy of character recognition. Our algorithms were tested with 100 images both blurred and non blurred image cases captured on the road and parking lot. The algorithm designed exhibits 100% success rate in Indian license plate recognition.
- Page(s): 154-157
- Date of Publication: 10 October 2018
- Sheela C LoniStudent (PG), Dept. of Telecommunication Engineering Ramaiah Institute of Technology, Bangalore, India
- S.J. Krishna PrasadAssociate Professor, Dept. of Telecommunication Engineering, Ramaiah Institute of Technology, Bangalore, India
References
[1] Yang Guang, “License Plate Character Recognition Based on Wavelet Kernel LS-SVM”, School of Communication and Information Engineering Xi'an University of Posts and Telecommunications Xi'an, ©2011 IEEE. [2] Hadi Sharifi Kolour.: An Evaluation of License Plate Recognition Algorithms. In: International Journal of Digital Information and Wireless Communications (IJDIWC) (2011). [3] Pandya and M Singh,” Morphology based approach to recognize number plates in India,” International Journal of Soft Computing and Engineering,Vol-1, Issue-3, pp 107-113, June2011. [4] J.S. Chittode and R. Kate, “Number plate recognition using segmentation,” International Journal of Engineering Research & Technology, Vol. 1 Issue 9, November- 2012. [5] Amir Ebrahimi Ghahnavieh, “Enhancing the License Plates Character Recognition Methods by Means of SVM” in the 22nd Iranian Conference on Electrical Engineering (ICEE 2014), May 20-22, 2014, Shahid Beheshti University. [6] Wei-Chen Liu et.al, “A Hierarchical License Plate Recognition System Using Supervised K-means and Support Vector Machine” in Proceedings of the 2017 IEEE International Conference on Applied System Innovation IEEE-ICASI 2017.
Sheela C Loni, S.J. Krishna Prasad "Development of Vehicle License Plate Recognition System Using K-Means Clustering and Support Vector Machine " International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.7 issue 9, September 2018, pp.154-157 URL: www.ijltemas.in/DigitalLibrary/Vol.7Issue9/154-157.pdf