Despite Nigeria being blessed with vast quantities of fossil energy resources, a wide gap still exists between the country’s required energy and the generated amount. This shortfall can be met by harnessing Bitumen and Coal which are hitherto not being given adequate attention like Crude Oil and Natural gas. The country’s Bitumen and Tar sand have a moderately high calorific value; HCV of 27,043.55KJ/kg and 27,759.77KJ/kg respectively which is a great deal of potential energy waiting to be harnessed. Majority of her Coal reserve deposits is bituminous, but with a class; it has a higher percentage content of Carbon and Hydrogen, and lower percentage content of Sulphur. These properties make it a cleaner and better source of energy generation in comparison to other countries bituminous coal.
- Page(s): 01-04
- Date of Publication: 30 November 2016
- Olumide A. TowojuDepartment of Mechanical Engineering, Adeleke University, Ede, Nigeria
References
[1]. U.S., Department of Energy “Rate of Fossil Fuel Resource Use, Annual Energy Review” U.S.A., U.S. Department of Energy (1996) https://www.cpast.org/Articles/fetch.adp?topicnum=14 retrieved on 20/10/2016 [2]. Knoema “BP: World Reserves of Fossil Fuels” https://knoema.com/smsfgud/bp-world-reserves-of-fossil-fuels retrieved on 21/10/2016 [3]. “Top 10 Natural Gas Producing Countries in the World” https://www.countrydetail.com/top-10-natural-gas-producingcountries- in-the-world/ retrieved on 22/10/2016 [4]. Adesanya O.M. “Elysian Energy for a Sustainable Nigeria” National Committee, 17th Congress of the World Energy Council, Houston Texas. September 13 – 18, 1998 pp. 545 – 561 [5]. Nwachukwu, “Nigerian’s Bitumen Reserve hits 30 billion Barrels” The Nigerian Gaurdian Newspaper, Wednesday, April 2, 2003 [6]. Adedimila , A.S., Bitumen, Nigeria’s other Black Gold?, University of Lagos press, Lagos Nigeria. (2000) [7]. Owolabi, A. O. “Evaluation of the Engineering Properties of the naturally occurring Bitumen in Ondo State, Nigeria” NJTE, Vol. 14, No. 1 (1997) pp. 9 – 18 [8]. Wellmer, F.W., Barthel, F. and Hiller, K. “Fossil Energy Resources and Availability”. Proceedings of the World Engineers’ Convention, Germany, (2000) pp. 245 – 265 [9]. MSMD, Investment Potentials of the Nigerian Coal Industry, Ministry of Solid Minerals Development Bulletin. (2002) [10]. Rogers, G.F.C. and Mayhew, Y.R.C., Engineering Thermodynamics, Work and Heat Transfer, England, Pearson Education Limited, Longman (1999), [11]. Eastop, T.D. and McConkey, A., Applied Thermodynamics for Engineering Technologists 5th Edition, Prentice Hall (1996)
Olumide A. Towoju "Energy Potential of Nigeria’s Natural Bitumen and Coal" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.01-04 2016
In past decade the ICT (Information and Communication Technologies) has enormously affected the way education is provided. E-learning is a concept which uses the internet technologies for teaching and learning process. Many educational institutions have developed their own E-learning systems and some outsource it. But most of the universities have invested much and everyone have this E-learning system in their institution. How far this E-learning system is utilized by the teaching and learning community is a question mark. Though technology is in the finger tips of the teaching and learning community use of these tools are seem to be slow in developing countries like Ethiopia. Investing in E-learning is already done by many universities, but their fruits are not yet ripe. This paper discusses the current state of E-learning systems in selective universities of Ethiopia.
- Page(s): 05-11
- Date of Publication: 30 November 2016
- Dr. Sangheethaa SAssistant Professor, Dilla University, Dilla, Ethiopia
- Dr. Arun KorathAssociate Professor, Dilla University, Dilla, Ethiopia
- Dawit Kefyalew MetsiheHOD, Dept. of ECE, Dilla university, Dilla, Ethiopia
References
[1]. Mell, P., & Grance, T. The NIST Definition of Cloud Computing. Gaithersburg: NIST. 2011. [2]. Yan, S.,et al. Infrastructure Management Of Hybrid Cloud For Enterprise Users. IEEE. 2011. [3]. Gunjan C. Bhure and Sneha M. Bansod , ―E-learning Using Cloud Computing‖ in International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 4, Number 1, pp. 41-46, 2014. [4]. Phankokkruad, Manop. Implement of Cloud Computing For E-- ‐Learning System. IEEE ICCIS. 2012. [5]. Masud, Md.A.H., & Xiaodi Huang. An E--‐learning System Architecture based on Cloud Computing. IEEE.2012 [6]. Nungki Selviandro, Zainal A. Hasibuan ,‖Cloud- ‐Based E-- ‐Learning : A Proposed Model and Benefits by Using E— Learning Based on Cloud Computing for Educational Institutions‖ in Springer--‐Verlag Berlin Heidelberg 2011
Dr. Sangheethaa S, Dr. Arun Korath, Dawit Kefyalew Metsihe "Effectiveness of E-learning in Select Ethiopian Universities" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.05-11 2016
Internal combustion engines have witnessed much advancement due to numerous researches which were and are still being undertaken by scholars to improve its performance in terms of power output, efficiency and emission reduction. Ignition delay is a very important parameter in combustion phenomenon; it is the time interval between the start of injection and the start of combustion, and it exerts a great influence on the engine design and its performance. Di-methyl ethyl which is an alternative to Diesel fuel was utilized in the model by importing it from the relevant files into the chemical reaction interface using the relevant governing equations and solved with COMSOL 5.0 which employs the finite element method of solution. Optimal engine performance was gotten at a compression ratio of 18, initial pressure of 1.0e5Pa and initial temperature of 400K. The delay period obtained was 0.018s and peak pressure was 1.6e6Pa..
- Page(s): 12-15
- Date of Publication: 30 November 2016
- Olumide A. TowojuDepartment of Mechanical Engineering, Adeleke University, Ede, Nigeria.
- Ademola DareDepartment of Mechanical Engineering, University of Ibadan, Nigeria
References
[1]. Alireza Valipour. Effect of Injection Pressure on Ignition Delay and Combustion Duration of Diesel Engine with Biodiesel (Jatropha Oil) and Its Blends. IJMER | ISSN: 2249–6645 Vol. 4 | Iss. 1 | Jan. 2014 [2]. Ankit Agarwal, S. L. Soni, Dinesh Kumar Sharma, Sandeep Kumar Bhaskar. Effect of Variation of Compression Ratio and Injection Pressure on Performance and Emission Characteristics of CI Engine Using Various Alternative Fuels: A Review. (2015) International Journal of Research in Engineering and Technology Eissn: 2319- 1163 | Pissn: 2321-7308 [3]. Himmatsinh R. Chauhan, Preksha K, Shyam K. Dabhi and Vivek G. Trivedi. A Technical Review HCCI Combustion in Diesel Engine. International Journal for Innovative Research in Science & Technology| Volume 1 | Issue 10 | March 2015 [4]. G. Rajendra Prasad, S. Chakradhar Goud, D. Maheswar. Alternative Fuels for HCCI Engine Techology and Recent Developments. (2012) International Journal of Advanced Research in Engineering and Applied Sciences ISSN: 2278-6252 [5]. Meng ZHANG, Jinhua WANG, Zuohua HUANG, and Norimasa IIDA. Numerical Study of Effects of the Intermediates and Initial Conditions on Flame Propagation in a Real Homogeneous Charge Compression Ignition Engine. Thermal Science: Year 2014, Vol. 18, No. 1, pp. 79-87 [6]. Bhabani Prasanna Pattanaik, Chandrakanta Nayak, Basanta Kumar Nanda. Investigation on utilization of biogas & Karanja oil biodiesel in dual fuel mode in a single cylinder DI diesel engine. International Journal of Energy and Environment (IJEE), Volume 4, Issue 2, 2013, pp.279-290 [7]. Venkata Ramesh Mamilla, M.V.Mallikarjun, G.Lakshmi Narayana Rao. Effect of Combustion Chamber Design on a DI Diesel Engine Fuelled with Jatropha Methyl Esters Blends with Diesel. Procedia Engineering 64 ( 2013 ) 479 – 490
Olumide A. Towoju, Ademola Dare "Impact of Initial Temperature and Pressure on Ignition Delay Period of Di-Methyl Ethyl (DME)" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.12-15 2016
We develop a novel technique for resizable Hadoop cluster’s lower bounds, the bipartite matching rectangular array of polyhedral shortest path unit length expressions. Specifically, fix an arbitrary hybrid kernel function f:{0,1}n ->{0,1} and let Af be the rectangular array of of polyhedral shortest path unit length expressions whose columns are each an application of f to some subset of the variables x1, x2,... x4n. We prove that Af has bounded-capacity resizable Hadoop cluster’s complexity omega(d) , where d is the approximate degree of f . This finding remains valid in the MapReduce programming model, regardless of prior measurement. In particular, it gives a new and simple proof of lower bounds for robustness and other symmetric conjunctive predicates. We further characterize the discrepancy, approximate PageRank, and approximate trace distance norm of Af in terms of well-studied analytic properties of f, broadly generalizing several findings on small-bias resizable Hadoop cluster and agnostic inference. The method of this paper has also enabled important progress in multi-cloud resizable Hadoop cluster’s complexity.
- Page(s): 16-34
- Date of Publication: 30 November 2016
- Ravi (Ravinder) Prakash GSenior Professor Research, BMS Institute of Technology & Management, Dodaballapur Road, Avalahalli Yelahanka, Bengaluru, India
[1]. Ravi Prakash G, Kiran M and Saikat Mukherjee. 2014. On Randomized Preference Limitation Protocol for Quantifiable Shuffle and Sort Behavioral Implications in MapReduce Programming Model. Parallel & Cloud Computing 3, Issue 1, 1-14. [2]. Greenlaw, R. and Kantabutra. 2008. On the parallel complexity of hierarchical clustering and CC-complete problems. Complexity 14, 18-28. (doi:10.1002/cplx.20238) [3]. Ravi (Ravinder) Prakash G, Kiran M. 2014. On The Least Economical MapReduce Sets for Summarization Expressions. International Journal of Computer Applications 94, 13-20. (doi: 10.5120/16354-5732) [4]. Amazon Elastic MapReduce. https://aws.amazon.com/elasticmapreduce/ [5]. Steven M. LaValle. 2006. Planning Algorithms. Cambridge University Press, New York, NY, USA. [6]. N. Ailon, B. Chazelle, S. Comandur, D. Liu. 2007. Estimating the Distance to a Monotone Function. Random Structures and Algorithms 31, 371-383. (doi:10.1002/rsa.20167) [7]. A. Gavish, Abraham Lempel. 1996. Match-length functions for data compression. IEEE Transactions on Information Theory 42, 1375-1380. (doi:10.1109/18.532879) [8]. Michael Drmota. 2009. Random Trees: An Interplay between Combinatorics and Probability (1st ed.). Springer Publishing Company, Incorporated.. [9]. Ping Wah Wong. 1997. Rate distortion efficiency of subband coding with crossband prediction. IEEE Transactions on Information Theory 43, 352-356. (doi:10.1109/18.567761) [10]. A. Lafourcade, Alexander Vardy. 1996. Optimal sectionalization of a trellis. IEEE Transactions on Information Theory 42, 689-703. (doi: 10.1109/18.490504) [11]. T.M. Cover. 1998. Comments on Broadcast Channels. IEEE Transactions on Information Theory 44, 2524-2530. (doi: 10.1109/18.720547) [12]. A. Lapidoth and P. Narayan. 1998. Reliable Communication Under Channel Uncertainty. IEEE Transactions on Information Theory 44, 2148-2177. (doi:10.1109/18.720535) [13]. David K. Ruch, Patrick J. Van Fleet, (October 2009). Wavelet Theory: An Elementary Approach with Applications, 504 pages pages, SBN: 978-0-470-38840-2. [14]. Alexander Schrijver, 2004, Combinatorial Optimization Polyhedra and Efficiency, Volume A-C, Algorithms and Combinatorics 24, Pages: CIV, 1879, Springer-Verlag, ISBN 978-3-540-44389-6. [15]. Leo Breiman. 1993. Hinging hyperplanes for regression, classification, and function approximation. IEEE Transactions on Information Theory 39, 999-1013. (doi:10.1109/18.256506) [16]. S. R. Kulkarni, D. N.C. Tse. 1994. A paradigm for class identification problems. IEEE Transactions on Information Theory 40, 696-705. (doi:10.1109/18.335881) [17]. Donald Miner, Adam Shook, 2013, "MapReduce Design Patterns" O’Reilly Media, Inc.: 978-1-449-32717-0. [18]. Rudolf F. Ahlswede, Zhen Zhang. 1994. On multiuser write-efficient memories. IEEE Transactions on Information Theory 40, 674-686. (doi:10.1109/18.335880) [19]. B. Chazelle. 2000. The Discrepancy Method: Randomness and Complexity. Cambridge University Press. 978-0-521-77093-9. [20]. B. Chazelle, A. Lvov. 2001. A Trace Bound for the Hereditary Discrepancy. Discrete Computational. Geom. 26, 221-231. (doi:10.1007/s00454-001-0030-2) [21]. B. Chazelle, A. Lvov. 2001. The Discrepancy of Boxes in Higher Dimension. Discrete Computational. Geom. 25, 519-524. (doi:10.1007/s00454-001-0014-2) [22]. B. Chazelle, J. Matoušek, M. Sharir. 1995. An Elementary Approach to Lower Bounds in Geometric Discrepancy. Discrete Comput. Geom. 13, 363-381. (doi:10.1007/BF02574050) [23]. E. Arikan. 1994. An upper bound on the zero-error list-coding capacity. IEEE Transactions on Information Theory 40, 1237-1240. (doi:10.1109/18.335947) [24]. B. Chazelle, H. Edelsbrunner, L.J. Guibas, M. Sharir. 1991. A Singly Exponential Stratification Scheme for Real Semi-Algebraic Varieties and Its Applications. Theoretical Computer Science 84, 77-105. (doi:10.1016/0304-3975(91)90261-Y) [25]. Ravi (Ravinder) Prakash G, (September 2016) “Necessary & Sufficient Conditions for Consistency of Bipartite Matching Polyhedral Path Expressions to their Resizable Hadoop Cluster Complexity” International Journal of Latest Technology in Engineering, Management & Applied Science, Volume 5, Issue IX, September 2016, Pages: 07-25., ISSN 2278-2540 [26]. B. Chazelle. 1999. Discrepancy Bounds for Geometric Set Systems with Square Incidence Matrices. Advances in Discrete and Computational Geometry, Contemporary Mathematics AMS 223, 103-107. [27]. B. Chazelle. 2004. The Discrepancy Method in Computational Geometry. Handbook of Discrete and Computational Geometry, CRC Press 44, 983-996. [28]. Fadika, Z.; Govindaraju, M. 2010. LEMO-MR: Low Overhead and Elastic MapReduce Implementation Optimized for Memory and CPU-Intensive Applications. IEEE Second International Conference on Cloud Computing Technology and Science (CloudCom), 1-8. (doi:10.1109/CloudCom.2010.45) [29]. Fadika, Z.; Govindaraju, M. 2011. DELMA: Dynamically Elastic MapReduce Framework for CPU-Intensive Applications. 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 454-463. (doi: 10.1109/CCGrid.2011.71) [30]. Iordache, A.; Morin, C.; Parlavantzas, N.; Feller, E.; Riteau, P. 2013. Resilin: Elastic MapReduce over Multiple Clouds. 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 261-268. (doi:10.1109/CCGrid.2013.48) [31]. XiaoyongXu; Maolin Tang. 2013. A comparative study of the semi-elastic and fully-elastic mapreduce models. IEEE International Conference on Granular Computing (GrC), 380-385. (doi:10.1109/GrC.2013.6740440) [32]. Wei Xiang Goh; Kian-Lee Tan. 2014. Elastic MapReduce Execution. 14th IEEE/ACM, International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 216-225. (doi:10.1109/CCGrid.2014.14) [33]. B. Chazelle, W. Mulzer. 2011. Computing Hereditary Convex Structures. Discrete Comput. 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Discrete Wavelet Transformations: An Elementary Approach with Applications, 572 pages, ISBN: 978-0-470-18311-3.. [41]. Kevin P. Murphy. 2012. Machine Learning: A Probabilistic Perspective. The MIT Press. [42]. Koller and Nir Friedman. 2009. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning. The MIT Press
Ravi (Ravinder) Prakash G "Necessary & Sufficient Conditions for Consistency of Bipartite Matching Polyhedral Shortest Path Unit Length expressions to their Resizable Hadoop Cluster Complexity" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.16-34 2016
Deflection is the degree of displacement of a structural element under a load, either by an angle or distance. For a structure, such as buildings, dams, etc., deflection plays a major role in determining the stability of a structure. The more the structure is deflected, the higher the structure is susceptible to risk of damage. So, bracing systems are used to reduce the deflections in a structure. A typical 20 and 30 storeyed buildings are considered with four distinct plan shapes such as square, rectangle, plus and a T shape within an area of 40m x 40m having a span of 4m. Each building is analysed for Wind and Earthquake loads using the load combinations provided in IS code book. Three bracing types, a concrete shear wall system, steel X-bracing system and a combination of both shear wall and X-bracing for lower and upper half of the structure are used. These bracings are placed around the building with six different placement combinations, such as, bracing provided for lifts and corners of the building, etc., These buildings are analysed using ETABS software and the deflections for all the building shapes, floor, bracings and load combinations are recorded and plotted in graphs to compare and determine which combination is efficient against deflections for the given loads. A deflection for rectangular building is lesser than square building along shorter base dimension and is higher along longer base side.
- Page(s): 35-38
- Date of Publication: 30 November 2016
- P. V. SrivardhanM.Tech Student, Structural Engineering, VITAM College of Engineering, Visakhapatnam, India
- Dr. K. HarikrishnaAssociate Professor, VITAM College of Engineering, Visakhapatnam, India
References
[1]. IS code books: [2]. IS 875 - part 1: Dead Loads [3]. IS 875 – Part 2: Live Loads [4]. IS 875 – Part 3: Wind Loads [5]. IS 875 – Part 5: Load Combinations [6]. IS 1893 -2002: Earthquake Loadings [7]. https://www.csiamerica.com/products/etabs/watch-and-learn- ETABS help guide [8]. Structural dynamics by A.K.Chopra [9]. “Influence of Plan Irregularity of Buildings” by Raúl González Herrera and Consuelo Gómez Soberón in “The 14th World Conference on Earthquake Engineering October 12-17, 2008, Beijing, China.” [10]. “Characteristics of wind forces and responses of rectangular tall building” by J. A. Amin • A. K. Ahuja in “Int J AdvStructEng (2014)” with open access in springerlink.com [11]. “Stability Analysis of Rigid Steel Frames with and Without Bracing Systems under the Effect of Seismic and Wind Loads” by Hussain Imran K.M, Mrs.Sowjanya G.V in “International Journal of Civil and Structural Engineering Research – Vol-1, issue-2, april-2014” [12]. “Wind Behaviour of Buildings with and without Shear Wall” by Alfa Rasikan, M G Rajendran in “International Journal of Engineering Research and Applications - Vol. 3, Issue 2, March -April 2013” [13]. “Effect of Shape and Plan Configuration on Seismic Response of Structure” by Milind V. Mohod in “International Journal of Scientific & Technology Research Volume 4, Issue 09, September 2015” [14]. “Effects of Shape on Wind Forces of High Rise Buildings Using Gust Factor Approach” by Prof. M. R. Wakchaure, SayaliGawali in “International Journal of Science, Engineering and Technology Research (IJSETR), Volume 4, Issue 8, August 2015” [15]. “Seismic Evaluation with Shear Walls and Braces for Buildings” by S. K. Madan, R. S. Malik, V. K. in “World Academy of Science, Engineering and Technology International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering Vol:9, No:2, 2015” [16]. “Analysis of Wind & Earthquake Load For Different Shapes of High Rise Building” by AnupamRajmani, Prof PriyabrataGuha in “International Journal of Civil Engineering and Technology (IJCIET), Volume 6, Issue 2, February (2015),” [17]. “Performance Based Seismic Design of R.C.C. Buildings with plan Irregularities” by Vishwajit. V. Karkhanis&Dr. Y. M. Ghugal in “Imperial Journal of Interdisciplinary Research (IJIR), Vol-2, Issue-7, 2016“
P. V. Srivardhan, Dr. K. Harikrishna "Deflection Analysis of High Rise Concrete Buildings for Wind and Seismic Loads Using Bracing Systems for Plan Irregularities Using ETABS" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.35-38 2016
The vast opportunities offered by the India’s retail industry have caught the world’s attention. The major global retailing giants and homegrown retailers are looking at this opportunity for consolidating their position in the potential consumer space. But this opportunity is laced with challenges like policy hurdles, diversified consumer habits, cultural differences combined with infrastructure bottlenecks. India’s retail growth is expected to be driven by increasing disposable incomes, favorable demographics, changing lifestyles, growth of the middle class segments and a high potential for penetration into urban and rural markets. However, the vast rural India is yet to be conquered by organized retail players. It offers tremendous growth prospects but this opportunity comes along with greater challenges. This paper examines the present retail formats, players, retailing structures, space and explores the existing business models of retailers in all with focus on Food and Grocery Retailing to tap the potential in smaller towns and villages.
- Page(s): 39-44
- Date of Publication: 30 November 2016
- Vinod BasupattadAssistant Professor, Dr. D.Veerendra Heggade Institute of Management Studies and Research, Dharwad, India
- Manish KothariAssistant Professor, Dr. D.Veerendra Heggade Institute of Management Studies and Research, Dharwad, India
[1]. Amin, Mohammad. 2010. Challenges of retailing in India. Enterprise surveys note series; no. 15. Retail. Washington, DC: World Bank. https://documents.worldbank.org/curated/en/361881468041411051/Challenges-of-retailing-in-India [2]. CII study, “Paradigm Shift in Rural Buying Pattern”, Nov 2009 [3]. Dwivedi R, and Ramkumar. 2013. Organized Retail Sector in India – Opportunities and Challenges in present aspect, International Journal of Research in Commerce and Management, Vol (4), Issue-I, ISSN: 0976-2183 [4]. Kotler Philip, Keller Kevin, (2005), Marketing Management, PHI India, 2E, 172-173 [5]. Piyush Sinha, Sanjay Khar (2007), “An Insight into the Growth of New retail Formats in India”, Working paper 2007-03-04 , IIM Ahmedabad [6]. Pradeep Kashyap (2012), “Rural marketing”, 2nd Edition Pearson [7]. Sathish, D., & VenkatramaRaju, D. (2010). The growth of Indian retail industry. Advances in Management. [8]. Teece, D. J. (2010). Business models, business strategy and innovation. Long range planning, 43(2), [9]. T P Gopalaswamy (2009), “ Rural marketing Environment, Problems and Strategies”, 3rd Edition, Vikas Publishing, [10]. https://www.dnb.co.in/IndianRetailIndustry/issues.asp accessed on 20.07.2016 [11]. https://www.ibef.org/download/Retail-August-2015.pdf accessed on 20.07.2016 [12]. https://articles.economictimes.indiatimes.com/2015-01-13/news/58024216_1_3-cities-smaller-cities-lulu-mall accessed on 12.08.2016 [13]. https://www.economist.com/node/21625799/print accessed on10.08.2016 [14]. https://www.thehindubusinessline.com/economy/policy/indian-retail-market-set-to-touch-865-billion-by-2023/article5623098.ece accessed on 19.08.2016 [15]. https://www.hul.co.in/sustainable-living/case-studies/enhancing-livelihoods-through-project-shakti.html accessed on 10.10.2016.
Vinod Basupattad, Manish Kothari "Retailing Shift in India- Driving the Rural Growth in Food & Grocery Retailing, Formats and Models to Penetrate Smaller Towns and Villages" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.39-44 2016
It is aimed to study about the performance of M 80 grade multi blended cement mixes with supplementary cementitious materials like Flyash(FA), Silica fume(SF) and Metakaolin(MK) to produce High performance concrete mixes. In this present investigation, an attempt of understanding the result acquired for High performance multi blended concrete mixes compared with results of ordinary Portland cement concrete mixes(OPC) were made. The multi blended high performance concrete mixes investigated are the combinations of 5%,10% and 15% of partial replacement of FA,SF,MK individually and the combinations as 15%FA + 10%SF, 15%FA + 10%MK and also 10%FA+7.5%SF+7.5%MK by the weight of the cement with a constant 0.3 water binder ratio.The M80 grade concrete strength is evaluated by Compressive and Tensile Strength tests determining at 3,7,28 days. The steel fibers and super plasticizer were also added to achieve greater strength and the required degree of workability for all the mixes prepared. It is observed that the multi blended M80 grade concrete exhibited greater compressive strength than that of OPC mixes and also a good performance of strength development in a short period of time, which were discussed in this paper.
- Page(s): 45-47
- Date of Publication: 30 November 2016
- Malavika Chakravarthy P.GAssistant Professor, Civil Engineering Department, Narayana Engineering College, Nellore, India
- Fayaz.ShaikAssistant Professor, Civil Engineering Department, Narayana Engineering College, Nellore, India
References
[1]. R.P.Khantri, V.Srinivivatnanon, “Effect of different supplementary cementitious materials on mechanical properties of high performance concrete,” Cem.Concr Res. 25(1) (1995) 209-220 [2]. S.Bhanja, B.Sengupta, “Optimum Silica Fume content and its mode of action on concrete,”ACIMater.J. 100(5) (2003) 407-412.. [3]. DasariVenkateswara Reddy and Prashant Y.Pawade, “Combine effect of silica fume and steel fiber on mechanical properties on standard grade of concrete and their interrelations,”International Journal of Advanced Engineering Technology, Vol.III, Issue I, January-march 2012,PP-361-366. [4]. Dr.P.Srinivasa Rao, Dr.Sravana,” Cracking behaviour of metakaolin blended high strength concrete in flexure by using crimped steel fibers,” Journal of Civil Engineering Science, An international Journal, Vol.1, No. 1-2, January-december 2012 PP-15-24. [5]. Joshi, “Evolution of HPC mixes containing silica fumes,” The Indianconcrete journal, vol. 75, no. 10, pp 627-633, 2001. [6]. Rixom and M. Vaganam, Chemical admixtures for concrete, second edition, E& F.N spon, London, 1996. [7]. Sabir B.B Wild S, BaiJ,”Metakaolin and calcined clays as pozzolans for concrete.” A review, Cement and Concrete Research, 23(2001), PP 441-454. [8]. IS 456:2000,”Indian standard for code of practice for plain and reinforced concrete.” [9]. IS 12269-1989,”Indian standard specifications for 53 Grade ordinary Portland cement.” [10]. IS 383:197-,”Specification for course and fine aggregates from natural sources for concrete,” Bureau of Indian Standards, New Delhi. [11]. IS 516:1999, Edition 1.2(1991-07),”Indian Standard for methods of test for strength of concrete. [12]. IS 5816:1999,”Splitting Tensile Strength of concrete-method of test (First Revision)”.
Malavika Chakravarthy P.G, Fayaz.Shaik "Experimental Investigations on M80 Grade Concrete Using Supplementary Cementitious Materials" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.45-47 2016
The efficient market theory states that the share price fluctuations are random and do not follow any regular pattern. Mean while technical analysts see meaningful patterns in their charts. Hence the question arises that whether investors can predict future share prices and gives an opportunity for earnings ? Many studies of the market analysts have proved the weak form of the EMH. The type of information used in weak form of Efficient Market Hypothesis is the historical prices. Everyone has access to the past prices; even though, some people can get those more conveniently than others. Informational efficiency is the measure of swiftness with which the market reacts to new information in the form of economic reports, company analyses, political statements and notification of the Industrial policy. The Semi strong form of the efficient market hypothesis states that the security price adjusts rapidly to all publicly available information like earnings of corporate, dividend, bonus, stock splits so on. The study analyses whether current security prices reflect all the historical information, whether future prices can be predicting by analyzing past prices and whether all public information is reflected in the security prices? The study on Market efficiency is conducted for NSE 50 stocks and Nifty for the period of 3 years. From the study it is understood that Indian Stock Markets are efficient in Both Weak & Semi-strong form.
- Page(s): 48-52
- Date of Publication: 30 November 2016
- Prof. Mrityunjaya B Chavannavar Assistant Professor, Chetan Business School, Hubli, India
- Poonam V. Patel MBA Final Year, Chetan Business School, Hubli, India =
References
[1]. Allan Timmermann*, Clive W.J. Granger, Efficient market hypothesis and forecasting, International Journal of Forecasting 20 (2004) 15– 27. [2]. Bernard Guerrien and Ozgur Gun, Efficient Market Hypothesis: What are we talking about?, real-world economics review, issue no. 56, 2011. [3]. Cheoljun Eom and Sunghoon Choi, Gabjin Oh, Woo-Sung Jung, Hurst exponent and prediction based on weak-form efficient market hypothesis of stock markets, Dec 2008 [4]. E. Dockery and M. G. Kavussanos, Testing the efficient market hypothesis using panel data, with application to the Athens stock market, Applied Economics Letters, 3, 121–123, 1996 [5]. https://www.nseindia.com/live_market/dynaContent/live_watch/get_quote/GetQuote.jsp?symbol=TATASTEEL&illiquid=0&smeFlag=0&itpFlag=0# [6]. Investment Analysis and Portfolio Management - Prasanna Chandra, pp 9.5 - 9.9. [7]. Mayowa Gabriel Ajao, Richard Osayuwu, Testing the Weak Form of Efficient Market Hypothesis in Nigerian Capital Market, Accounting and Finance Research, Vol. 1, No. 1; May 2012. [8]. Meredith Beechey, David Gruen and James Vickery, The Efficient Market Hyphothesis: A Survey, Research Discussion Paper, Jan 2000. [9]. Michael C. Jensen, Some Anomalous Evidence Regarding Market Efficiency, Journal of Financial Economics, Vol. 6, Nos. 2/3 (1978) 95-101. [10]. Richard Osayuwu, Testing the Weak Form of Efficient Market Hypothesis in Nigerian, Capital Market Accounting and Finance Research ( 1), 1; May 2012 [11]. Rakesh Gupta and Parikshit K. Basu, Weak Form Efficiency In Indian Stock Markets, International Business & Economics Research Journal –Vol: 6, Number 3; March 2007 [12]. Renuka Sharma, Information Efficiency of Indian Stock Markets, Finance India, Vol: XXIX No. 3, September 2015 [13]. Saqib Nisar and Muhammad Hanif FCMA, Testing Weak Form of Efficient Market Hypothesis: Empirical Evidence from South-Asia, World Applied Sciences Journal 17 (4): 414-427, 2012 [14]. S. Basu, Investment performance of common stocks in relation to their price earnings ratios: A test of efficient market hypothesis, The journal of finance, Vol 32, No 3, Jun 1977, pp 663-682. [15]. Security Analysis and Portfolio Management – Dhanesh Khatri, pp 348- 361. [16]. Security Analysis and Portfolio Management – Punithvathy Pandian, pp 123-124, 135-138, 325 – 335. [17]. TIMOTEJ JAGRIC, BORIS PODOBNIK, AND MARKO KOLANOVIC, Does the Efficient Market Hypothesis Hold?, Eastern European Economics, vol. 43, no. 4, July–August 2005, pp. 79–103. [18]. Venkata Rajasekhar Ryaly, R. S. R. K. Kiran Kumar and Bhargava Urlankula, A Study on Weak Form of Efficiency in selected Asian Stock Markets, Indian Journal of Finance, Vol: 8 No. 11, August 2014.
Prof. Mrityunjaya B Chavannavar, Poonam V. Patel "Efficiency of Indian Stock Market: A Study from National Stock Exchange" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.48-52 2016
The present paper aims to study the performance by using supplementary cementitious materials to achieve high strength multi blended concrete mixes.An attempt is made to compare the performance of multi blended concrete mixes with ordinary Portland cement (OPC) concrete. In the OPC concrete mixes cement was partially and separately replaced by Fly Ash (FA), Silica Fume (SF), Metakaolin (MK)in different proportions of 5%, 10% and 15% and also in combination of these materials in proportions of 15% Fly Ash (FA) + 10% Silica Fume (SF), 15% Fly Ash (FA) + 10% Metakaolin (MK) and also 10% Fly Ash (FA) + 7.5% Silica Fume (SF) + 7.5% Metakaolin (MK) by weight of cement. A constant water binder ratio of 0.34 is maintained for compressive strength and split tensile strength evaluation for M60 grade of concrete. In order to achieve the required degree of workability and to gain tensile strength, Super plasticizer and steel fibers of required proportion were added for all the mixes. The Compressive and Split Tensile Strengths are determined at 3, 7 and 28 days. The multi blended concrete mixes exhibited higher compressive strength than OPC mix concrete and also better performance in short term strength development..
- Page(s): 53-56
- Date of Publication: 30 November 2016
- Fayaz. ShaikCivil Engineering Department, Narayana Engineering College, Nellore, India
- Malavika Chakravarthy P.G.Civil Engineering Department, Narayana Engineering College, Nellore, India
References
[1]. Mehta P.K. (1989) Pozzolanic and Cementitious by-products in Concrete another Look, In V.M. Malhotra ed. Fly Ash, Silica Fume, Slag, and Natural Pozzolans in Concrete, Sp 114, Vol. 1, ACI, Detroit: 1-45. [2]. Khan M.I, Lyndsdale C.J and Waldron P. (2000). Porosity and Strength of PFA/SF/OPC/Ternary Blended Paste. Cement and Concrete Research. 30: 1225-1229. [3]. Bagel L. (1998).Strength and Pore Structure of Ternary Blended Cement Mortars Containing Blast Furnace Slag and Silica Fume. Cement and Concrete Research.28: 1011-1020. [4]. Pandey S.P. and Sharma R.L (2000). The Influence of Mineral Additives on the Strength and Porosity of OPC Mortar, Cement and Concrete Research, 30:19-23. [5]. Khan M.I, Lyndsdale C.J, Strength, permeability, and carbonation of high-performance concrete, Cement and Concrete Research 32 (2002) 123-131. [6]. Toutanji H. et al. (2004). Effect of Supplementary Cementitious Materials on the Compressive Strength and Durability of Short-Term Cured Concrete, Cement and Concrete Research.34: 311-319. [7]. R.P.Khantri, V.Srinivivatnanon, “Effect of different supplementary cementitious materials on mechanical properties of high performance concreete,” Cem.Concr Res. 25(1) (1995) 209-220 [8]. S.Bhanja, B.Sengupta, “Optimum Silica Fume content and its mode of action on concrete,”ACI Mater.J. 100(5) (2003) 407-412. [9]. Dasari Venkateswara Reddy and Prashant Y.Pawade, “Combine effect of silica fume and steel fiber on mechanical properties on standard grade of concrete and their interrelations,”International Journal of Advanced Engineering Technology, Vol.III, Issue I, January-march 2012,PP-361-366. [10]. Dr.P.Srinivasa Rao, Dr.Sravana,” Cracking behaviour of metakaolin blended high strength concrete in flexure by using crimped steel fibers,” Journal of Civil Engineering Science, An international Journal, Vol.1, No. 1-2, January-december 2012 PP-15-24. [11]. Joshi, “Evolution of HPC mixes containing silica fumes,” The Indian concrete journal, vol. 75, no. 10, pp 627-633, 2001. [12]. Rixom and M. Vaganam, Chemical admixtures for concrete, second edition, E& F.N spon, London, 1996. [13]. Sabir B.B Wild S, BaiJ,”Metakaolin and calcined clays as pozzolans for concrete.” A review, Cement and Concrete Research, 23(2001), PP 441-454. [14]. IS 383:197-,”Specification for course and fine aggregates from natural sources for concrete,” Bureau of Indian Standards, New Delhi. [15]. IS 456:2000,”Indian standard for code of practice for plain and reinforced concrete.” [16]. IS 516:1999, Edition 1.2(1991-07),”Indian Standard for methods of test for strength of concrete. [17]. IS 5816:1999,”Splitting Tensile Strength of concrete-method of test(First Revision)”.
Fayaz. Shaik, Malavika Chakravarthy P.G. "Study on Strength Characteristics for M 60 Grade Concrete Using Fly Ash, Silica Fume, Metakaolin, and Steel Fibers" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.53-56 2016
Mobile Ad hoc networks (MANETs) are power constrained since nodes are operated with limited battery supply. If a node runs out of battery, its ability to forward the traffic gets affected and hence, the network lifetime. There has been considerable progress in the battery technology, but not in par with the semiconductor technology. There are various techniques adopt different approach to achieve energy efficiency. The proposed approach uses a cost metric for path selection, which is a function of residual battery and current traffic load at a node. The detailed simulation has been carried out in QualNet simulator. The performance is based on average energy consumption for varying CBR applications.
- Page(s): 57-59
- Date of Publication: 30 November 2016
- Shridhar KabburDepartment of Electronics and Communication, Global Academy of Tech, Bengaluru
- Dr. G. F. Ali AhammedDepartment of Computer Science and Engineering, VTU Regional Center, Mysuru
- Dr. Rashma BanuDepartment of Information Science and Engineering, GSSSIETW, Mysuru
References
[1]. M. Tarique, K. E. Tepe, S. Adibi, and S. Erfani, “Survey of multipath routing protocols for mobile ad hoc networks,” Journal of Network andComputer Applications, vol. 32, no. 6, pp. 1125–1143, 2009. [2]. B. Vaidya, J. Pyun, J. Park, and S. Han, “Secure multipath routingScheme for mobile ad hoc network,” Third IEEE International Symposium on Dependable, Autonomic and Secure Computing, IEEE, pp. 163–171, 2007. [3]. L. Reddeppa Reddy and S. Raghavan, “Smort: Scalable multipath on demand routing for mobile ad hoc networks,” Ad Hoc Networks, vol. 5,no. 2, pp. 162–188, 2007. [4]. M. K. Marina and S. R. Das, “Ad hoc on-demand multipath distance Vector routing,” Wireless Communications and Mobile Computing,vol. 6, no. 7, pp. 969–988, 2006 [5]. C. E. Perkins and E. M. Royer, “Ad-hoc on-demand distance vector routing,” Second IEEE Workshop on Mobile Computing Systems and Applications, pp. 90–100, 1999. [6]. P. Periyasamy and E. Karthikeyan, “Survey of current multipath routing Protocols for mobile ad hoc networks,” International Journal of Computer Network and Information Security (IJCNIS), vol. 5, no. 12, p. 68, 2013. [7]. C. Perkins, E. Belding-Royer, S. Das et al., “Rfc 3561-ad hoc on demand Distance vector (aodv) routing,” Internet RFCs, pp. 1–38, 2003. [8]. M. Tarique, K. E. Tepe, S. Adibi, and S. Erfani, “Survey of multipath Routing protocols for mobile ad hoc networks,” Journal of Network and Computer Applications, vol. 32, no. 6, pp. 1125–1143, 2009. [9]. N. K. Ray, “Techniques to enhance the lifetime of mobile ad hoc Networks,” Ph.D. dissertation, 2013. [10]. Mohammed M. Energy,” efficient location aided routing protocol for Wireless MANETs” (IJCSIS) International Journal of Computer Science and Information Security Vol. 4, No. 1 & 2, 2009.
Shridhar Kabbur, Dr. G. F. Ali Ahammed, Dr. Rashma Banu "Analysis of Energy Efficient Routing Protocol In MANET" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.57-59 2016
“Number of Used Cars on the Roads in India Will Top 8 million by 2018”[10] It is a study to understand the used car valuation brand preferences in North Karnataka. India is the one of the largest auto industry in the globe. India accounts GDP as high as 7.1 percent. In this Passenger Vehicle contribute about 13% of the market share.In addition, several initiatives by the Government of India and the major automobile players in the Indian market are expected to make India a leader in Four Wheeler market in particular in the world by 2020. Sales of passenger vehicles in Aug-2016 is increased by 16.7% 258,000 units is a boosting statistics. The study was carried out to analyse the valuation of second hand four wheeler in North Karnataka among unorganized players. This study was being carried out in Hubli-Dharwad used car showrooms.
- Page(s): 60-66
- Date of Publication: 30 November 2016
- Dr. Bhargav RevankarGlobal Business School, Twin city Campus, Bhairidevarkoppa, Hubli-25, India
- Waseem ShaikhGlobal Business School, Twin city Campus, Bhairidevarkoppa, Hubli-25, India
References
[1]. Company. (n.d.). Maruti Suzuki Best Petrol CNG Diesel Cars in India. Retrieved Sep 12, 2016, from MAruti Suzuki: www.marutisuzuki.com/ [2]. Company. (n.d.). Top Gear | The world's greatest car website. Retrieved Sep 20, 2016, from Top Gear India: https://www.topgear.com/india/ [3]. Compoany. (n.d.). Auto car Indian - THE BEST CAR NEWS AND REVIEWS. Retrieved Sep 25, 2016, from https://www.autocarindia.com/ [4]. Indian Automobile Industry review. (n.d.). Retrieved from www.siamindia.com [5]. K, G. (2005). used Market Expected to Outpace New Car Market. The Hindu Business Line, Vol 12, No13. . [6]. Kiley, D. (2002). A Certified Pre-owned Car is an Almost New Car without a New Car price. Harward Business Review, Vol 45, pp. 14-15. [7]. markets, R. a. (n.d.). Used Cars Market in India 2014-2018. Retrieved Oct 10, 2016, from Research and markets: https://www.researchandmarkets.com/reports/3058609/used-cars-market-in-india-2014-2018#relb0 [8]. Saxana, R. (2009). Marketing Management (4th.ed.). New Delhi: The McGraw-Hill Companies . [9]. Sharanagoud S Biradar, S. V. (Jul-2015). Pre-Owned Car Market in India: An Overview . International Journal of Multidisciplinary Research and Development , 567-574. [10]. https://www.researchandmarkets.com/reports/3058609/used-cars-market-in-india-2014-2018#relb0 [11]. Pre-Owned Car Market in India: An Overview by Sharanagoud S Biradar, Sunil V Kulkarni International Journal of Multidisciplinary Research and Development
Dr. Bhargav Revankar, Waseem Shaikh "Leader of Four Wheeler in Unorganized Park and Sale-A Study in North Karnataka" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.60-66 2016
Data is increasingly cheap and ubiquitous. We are now digitizing analog content that was created over centuries and collecting myriad new types of data from web logs, mobile devices, sensors, instruments, and transactions. IBM estimates that 90 percent of the data in the world today has been created in the past two years. At the same time, new technologies are emerging to organize and make sense of this avalanche of data. We can now identify patterns and regularities in data of all sorts that allow us to advance scholarship, improve the human condition, and create commercial and social value. The rise of "Big Data" has the potential to deepen our understanding of phenomena ranging from physical and biological systems to human social and economic behaviour. This paper briefs the evolution of Big Data, describes some of its management challenges, opportunities in business sectors, and the tools used to manipulate it..
- Page(s): 67-70
- Date of Publication: 30 November 2016
- Varsha JambunathanPre Final Year, Department of Computer Science & Engg., Dayananda Sagar College of Engineering, Bangalore, Karnataka, India
- S. VenkatesanProfessor, Department of Computer Science & Engg., Dayananda Sagar College of Engineering, Bangalore, Karnataka, India
References
[1]. Phillip Russom. Big Data Analytics. TWRI Research; 2011. [2]. Vignesh Prajapathi. Big Data Analytics with R and Hadoop. Packt Publishing. [3]. Elisa Bertino. Big Data - Opportunities and Challenges Panel Position Paper. IEEE 37th Annual Computer Software and Applications Conference;2013. [4]. Agrawal D., Bernstein P., Bertino E., Davidson S., Dayal U., Franklin M., . . . .Widom J. Challenges and Opportunities with Big Data: A white paper prepared for the Computing Community Consortium committee of the Computing Research Association; 2012. [5]. Harshawardhan S. Bhosale, Prof. Devendra P. Gadekar. A review paper on Big Data and Hadoop. International Journal of Scientific and Research Publications; 2014. [6]. Big Data Analytics Advanced Analytics in Oracle Database. An Oracle White Paper; 2013 Mar. [7]. Roberto V. Zicari. Big Data: Challenges and Opportunities. ODBMS.org; 2013 Jul 26. [8]. Shobhit Srivastava, S. Venkatesan, S. Amutha. Big Data Analysis and Its Tools – A Review. International Journal for Research in Applied Science & Engineering; 2016. [9]. Kalyani Shirudkar, Dilip Motwani. Big-Data Security. International Journal of Advanced Research in Computer Science and Software Engineering; 2015 Mar. [10]. K. Michael, K. W. Miller. Big Data: New Opportunities and New Challenges. IEEE;2013.
Varsha Jambunathan, S. Venkatesan "A Review on Big Data Challenges and Opportunities" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.67-70 2016
The manufacturing company under consideration recorded the high accident rates for last few years. These accidents cause the organization the heavy man-day loss, the production loss and heavy costs of insurance. The objective of health and safety department at the manufacturing company was to set and improve accidents prevention system. The paper presents how does the six-sigma technique will help to evaluate the safety and environmental hazards in performance of organizations. It is observed that the study helped the management to measure, analyze and improve overall safety plan to protect the life and health of the employees. The paper discusses real life case where six sigma has been successfully applied at one of the Indian small scale units to improve safety in processes. The main aim behind this project lies to overcome those problems of the industries which are causing loss due to safety. In order to build up system capabilities and graduate towards higher sigma levels of operation, the backbone exercise of six sigma management system is reached by carrying out the failure mode effect analysis.
- Page(s): 71-76
- Date of Publication: 30 November 2016
- Prof. P. R. GajbhiyeKDK College of Engineering, Nagpur, 440009, India
- Dr. A.C WaghmarePrincipal, Umrer College of Engineering, Umred, India
- Dr. R.H. ParikhPrincipal, Bhausaheb Mulik College of Engineering, Nagpur , India
References
[1]. Stephen R. Schmidt and Robert G. Launsby, “Statistical Techniques,” in Understanding Industrial Designed Experiments, Volume 1, Air Academy Press, 1994 [2]. Simon, Kerri. "SIPOC Diagram". Ridgefield, Connecticut: iSixSigma. Retrieved 2012-07-03. [3]. Paul F. English, in Safety Performance in a Lean Environment: A Guide to Building Safety into a Proces,sCRC Press; 1 edition November 21, 2011 [4]. Wilson, Paul F.; Dell, Larry D.; Anderson, Gaylord F. (1993). Root Cause Analysis: A Tool for Total Quality Management. Milwaukee, Wisconsin: ASQ Quality Press. pp. 8–17. ISBN 0-87389-163-5. [5]. T. Pyzdek, “The Six Sigma Handbook,” McGraw Hill Book Companies Inc, US, 2002. [6]. Osada, Takashi (1995). The 5S’s: Five keys to a Total Quality Environment. US: Asian Productivity Organization. ISBN 9283311167. [7]. Mandahawi N., Fouad R., Obeidat S., “An Application of Customized Lean Six Sigma to Enhance Productivity at a Paper Manufacturing Company” Jordan Journal of Mechanical and Industrial Engineering, Volume 6, Number 1, Feb. 2012 ISSN 1995-6665 Pages 103 – 109. [8]. Sinha S. K., “Risk Management in Mines - The Six Sigma Way in Aziz,” Coal 2008: Coal Operators' Conference, University of Wollongong & the Australasian Institute of Mining and Metallurgy, 2008, 231-244.
Prof. P. R. Gajbhiye, Dr. A.C Waghmare, Dr. R.H. Parikh "Occupational Safety Improvements by Lean Six Sigma Methodologies in a Manufacturing Industry" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.71-76 2016
The aim is to design and development of ROPS testing fixture’s for driver cabin of earth movers by serving a single test fixture instead of three test fixtures in order to overcome the floor space and selection of stabilized structural member in development of test fixture. The test fixture is implemented to validate optimum load impacts sustained by ROPS for safety precautions of driver. So design and development of single fixture to be carried out to test ROPS of different vehicle model for optimum results. The main aim of this project is to carry out static force analysis of portal structure to confirm the following: Least Deflection of Portal structure, Strength of the structure. The above analysis is to ensure the 100% force applied with least deflection of portal structure to the test specimen during testing.
- Page(s): 77-84
- Date of Publication: 30 November 2016
- Murali Kumar.LAssistant Professor Department of Mechanical Engineering, East Point College of Engg, Bangalore, India
- Sunil Kumar.SM. Tech student, Department of Mechanical Engineering, East Point College of Engg, Bangalore
References
[1]. Tool engineering and design by jagadeesha, chapter 4 design of fixture. [2]. https://www.nitc.ac.in/dept/me/jagadeesha/Tool_Engineering_and_Design/CHAPTER4. pp01. [3]. Pradeep Chaudhari,” Review of Design for Protective Structure of Operator Cabin Against Roll Over (ROPS) & Falling Object (FOPS) for Construction Equipments” International Journal of Research in engineering science and Technology vol.1 issue-7 march 2016 pp 44-45. [4]. Syed Khaisar Sardar, Kiran Narkar, D R Panchagade,” Non Linear Analysis Of Roll Over Protection Structure” International Journal of Mechanical And Production Engineering, Volume- 2, Issue-9, Sept.-2014.pp 51. [5]. Thambiratnam, D. P. and Clark, B. J. and Perrera, N. J. (2009)” Performance of a roll over protective structure for a bulldozer”. Journal of Engineering Mechanics.pp 1-3. [6]. Www. Eprints.Qut.Edu.Au/14163/1/C14163.Pdf. [7]. RC Kroch,” Roll Over Protective Tests on an external ROPS frame for generic double cab pickup vehicles” Bira (Pty) Ltd, BEatUP ,issue on 4December 2012.pp 4-9. [8]. www.excaliburacc.co.za/Docs/07331_Report_Bira_ROPS_Test.pdf. [9]. Vamshi Chennuri1, Harish Kothagadi and Riyazuddin Mohammad,” Design And Stress Analysis Of Four-Post Rollover Protective Structure Of Agricultural-Wheeled Tractor” Int. J. Mech. Eng. & Rob. Res. 2015 Vol. 4, No. 1, January 2015.pp296.
Murali Kumar.L, Sunil Kumar.S "Design and Development of ROPS Testing Fixture’s for Driver Cabin of Earth Movers" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.77-84 2016
Today the field of investment is even more dynamic than it was a decade ago. World events are rapidly growing that alter the values of specific assets. The investors have many assets to choose from, and the amount of information available to the investors is staggering and continually growing. The key to a successful financial plan is to keep apart a larger amount of savings and invest it intelligently. These investments are not totally safe from risks, so one should try to understand what kind of risks are related to them before taking action. To understand the characteristics of each one of the different types of investment Investors must have enough financial knowledge. The study examines that the level of importance assumed by the investors on various investment objectives based on the demographic variables and selective factors . Research has been done in the selected areas of Visakhapatnam District (A.P.) with the help of primary data collected using a structured questionnaire by adopting five point likert scale and analyzed by using percentage method, Chi- Square test, weighted average ranking method. Primary data is collected from 200 respondents by using convenience sampling method and reviewed the related research papers for conceptual understanding.
- Page(s): 94-99
- Date of Publication: 30 November 2016
- N.S.V.N RajuAssistant Professor, Aditya College of Engineering & Technology, Surampalem, Andhra Pradesh, India
- Dr. Anita PatraAssociate Professor, School of Management CUTM, Odisha
References
[1]. Bennet. E, Selvam. M, G. Indhumathi, R. Rajesh Ramkumar, V. Karpagam (2011). Factors Influencing Small Investors Attitude towards Investing In Equity Stocks: A Study in Tamil Nadu, Journal of Modern Accounting and Auditing, 7(3), 123-135. [2]. Bennet. E, and Selvam. M (2011). Investors’ perception towards the influence of SPERTEL risks on the value of equity shares. A Study conducted at Coimbatore City, International Journal of Research in Computer Application and Management, 1 (2), . [3]. Krishnan, R and Booker, D.M (2002). Investor’s Use of Analysts’ Recommendations, Behaviour Research in Accounting, 14, 129 – 158. [4]. Naser K, Nuseibeh R (2003). User’s perception of corporate reporting: evidence from Saudi Arabia. Journal of British Accounting Review, 35(2), 129-153. [5]. Peter Roger Ewing (1970). Motivating Factors Guiding the Common Stock Investor, Dissertation Abstracts International, 31(5), 1975. [6]. Potter R E. (1971). An empirical study of motivations of common stock investors. Southern Journal of Business, 6(1), 41-44. [7]. Shanmugam, K. (1990). A Study on Investor’s Awareness of Investment, Ph.D Thesis.
N.S.V.N Raju, Dr. Anita Patra "A Study on Investor’s Attitude towards Investment in Equity Stocks with Reference to Visakhapatnam District (Andhra Pradesh)" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 11, pp.94-99 2016