Wishmore Gwala and R. Padmavati·September 2016·pp. 01-06
In this study, a comparative analysis was done on the shrinkage behaviour of pineapple slices under three different drying treatments namely solar, open sun and convective electrical tray drying. Pineapple slices were cored and dried under the above mentioned conditions. The diameters and thickness was measured using a vennier calliper and the volume and density were calculated from the collected data. it was noted that there was more shrinkage in tray drying followed by sun drying. Solar drying had the least shrinkage. The reduction in density followed a non-linear exponential reduction. All three drying treatments exhibited the same phenomenon. An exponential function was best in describing the reduction in density in solar drying. For sun and tray drying, the density reduction followed a power function decline. By comparing the volume of water removed versus the fractional volume decrease of pineapple samples in solar drying, sun drying and tray drying respectively it was noted that again a linear relationship prevailed in all three cases. The linear correlation coefficient (R2) showed that the shrinkage was more linear in sun and tray drying with a similar R2 value of 0.978 and 0977 while that for solar drying was least at 0.956.
Wishmore Gwala
Department of Food Processing Technology, School of Industrial Sciences and Technology, Harare Institute of Technology, Box BE 277 Belvedere, Harare, ZimbabweDepartment of Food Process Engineering, School of Bioengineering, Faculty of Engineering and Technology, SRM University (Kattankulathur), 603203 (KTR), Chennai, India
R. Padmavati
Department of Food Process Engineering, School of Bioengineering, Faculty of Engineering and Technology, SRM University (Kattankulathur), 603203 (KTR), Chennai, India
**[1] Belessiotis, V., Delyannis, E., (2009). Drying: methods and systems – principles of drying procedures. Book n Greek. Sideris Publishing Co., Athens, p. 844. [2] Belessitosis, V., Dellyannis, E. (2011). Solar drying. Solener. www.elsevier.com/locate/solener https://dx.doi.org./10.1016/j.solener.2009.10.001 [3] Senadeera, Wijitha (2008). The Drying Constant and its Effect on the Shrinkage Constant of Different-Shaped Food Particulates. International Journal of Food Engineering, 4(8). article 14 [4] Abasi1, S., Mousavi, S.M., Mohebi, M., and Kiani, S. (2009). Effect of Time and Temperature on Moisture Content, Shrinkage, and Rehydration of Dried Onion. Iranian Journal of Chemical Engineering Vol. 6, No. 3 (Summer), 2009, IAChE [5] Barbosa–Cánovas & Vega–Mercado. (1996). Other methods of Dehydration of Foods and packaging, Chapman and Hall, New York,. [6] Mayor, L. and Sereho, A.M., “Modeling shrinkage during convective drying of food materials,” Journal of Food Process Engineering 61, 373 (2004). [7] Zogzas, N. P., Maroulis, Z. B., & Marinos-Kouris, D. (1994). Densities, shrinkage and porosity of some vegetables during air drying. Drying Technology, 12 (7), 1653–1666 [8] Bartoloméw, A.P. Pilar, R. and Foster, C. (1995). Pineapple fruit: morphological characteristics, chemical composition and sensory analysis of Red Spanish and Smooth cayenne cultivars. Food Chemistry 53: 75 – 79. [9] Bastin, S. (1997). Water Content of Fruits and Vegetables. Cooperative Extension service, ENRI, University of Kentukey College of Agriculture, 129 [10] Zarein, M., Samadi, S.H. & Ghobadian. (2014). Investigation of microwave dryer effect on energy efficiency during drying of apple slices. Journal of the Saudi Society of Agricultural Sciences. https://dx.doi.org/10.1016/j.jssa.2013.06.002 [11] Kumara, S. S. (2014). performance evaluation of a solar dryer system for optimal operation: mathematical modeling and experimental validation. International Journal of Sustainable Energy Vol 33 Isssue 1. [12] Kemp, I.C., Fyrh, C.B., Laurent, S., Roques, M. A., Groenewold, C.E., Tsotsas, E., Sereno, A.A., Bonazzi, Bimbenet, J.J., & Kind M. (2001). Methods for processing experimental drying kinetics data. Drying Technology Vol 19, (1). 15-34 [13] Kurozawa, L.E., Hubinger, M.D, & Park, K.J. (2012). Glass transition phenomenon on shrinkage of papaya during convective drying Journal of Food Engineering 108 (2012) 43–50 [14] Krokida, M. K., & Maroulis, Z. B. (1997). Effect of drying method on shrinkage and porosity. Drying Technology, 15(10), 2441–2458. [15] Lozano, J. E., Rotstein, E., & Urbicain, M. J. (1983). Shrinkage, porosity and bulk density of foodstuffs at changing moisture contents. Journal of Food Science, 48, 1497–1502, 1553. [16] Moreira, R., Figueiredo, A., & Sereno, A. (2000). Shrinkage of apple disks during drying by warm air convection and freeze drying. Drying Technology, 18(1&2), 279–294.**
Wishmore Gwala and R. Padmavati "Comparative Analysis of Shrinkage of Pineapple during Convective Drying in Sun, Solar and Electric Tray Drying" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 9, pp.01-06 2016
Ravi (Ravinder) Prakash G·September 2016·pp. 07-25
We develop a novel technique for resizable Hadoop cluster’s lower bounds, *bipartite matching rectangular array of polyhedral path expressions.* Specifically, fix an arbitrary hybrid kernel function f:{0,1}n ->{0,1} and let Af be the rectangular array of polyhedral path 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 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.
Ravi (Ravinder) Prakash G
Senior 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]. Ravi (Ravinder) Prakash G, Kiran M. "Problems on Inverted Index Summarization Expressions for Resizable Hadoop Cluster Channel and Cluster Complexity" International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), Volume V, Issue V, May 2016, Pages: 1-19, ISSN 2278 – 2540 [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]. Ravi (Ravinder) Prakash G, Kiran M. "Is it Consistent with Counting that any Summarization Expressions with Resizable Hadoop Cluster Channel have a Cluster Complexity?" International Journal of Engineering Research and Management (IJERM), Volume-03, Issue-06, June 2016, Pages: 135-152, ISSN: 2349- 2058. [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, Kiran M. "How economical are Bounds on Inverted Index Summarization for Calculating Hadoop Channel?" International Journal of Applied Information Systems (IJAIS), Volume 11 – No. 1, June 2016, Pages: 19-35 ISSN ISSN : 2249-0868 [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 CPUIntensive 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 semielastic 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. Geom. 45, 796-823. (doi:10.1007/s00454- 011-9346-8) [34]. B. Chazelle, H. Edelsbrunner, M. Grigni, L.J. Guibas, M. Sharir, E. Welzl. 1995. Improved Bounds on Weak ε-Nets for Convex Sets. Discrete Comput. Geom. 13, 1-15. (doi:10.1007/BF02574025) [35]. David P. Williamson, David B. Shmoys. 2011. The Design of Approximation Algorithms.Cambridge University Press, 978-0-521- 19527-0. [36]. Oded Goldreich. 2008. Computational Complexity: A Conceptual Perspective.Cambridge University Press, 978-0-521-88473-0. [37]. Sanjeev Arora, Boaz Barak. 2009. Computational Complexity: A Modern Approach.Cambridge University Press, 978-0-521-42426-4. [38]. Dimitri P. Bertsekas, Convex Optimization Algorithms, Athena Scientific, Hardcover Edition ISBN: 1-886529-28-0, 978-1-886529-28- 1, Publication: February, 2015, 576 pages. [39]. Ravi (Ravinder) Prakash G, Kiran M. "Does there exist lower bounds on numerical summarization for calculating aggregate resizable Hadoop channel and complexity?" International Journal of Advanced Information Science and Technology, April 2016, Pages: 26-44, ISSN: 2319:2682. [40]. Patrick Van Flee, (January 2008). 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 Path Expressions to their Resizable Hadoop Cluster Complexity" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 9, pp.07-25 2016**
**For Full Text Click here**[](https://ijltemas.in/DigitalLibrary/Vol.5Issue9/07-25.pdf "Necessary & Sufficient Conditions for Consistency of
Bipartite Matching Polyhedral Path Expressions to
their Resizable Hadoop Cluster Complexity") **Share on Social media**
## [Study of Radionuclide Distribution around Chitradurga Mining Areas, Karnataka](https://ijltemas.in/DigitalLibrary/Vol.5Issue9/26-28.pdf)
- **Shivaprakash M C, Seshadri B S, Karunakara N, Anandaram B N**
- **September 2016**
- **Page No.: 26-28**
- [Abstract](#tab-11)
- [Authors](#tab-12)
- [References](#tab-13)
- [Cite](#tab-14)
- [Full Text & Share](#tab-15)
**Concentrations of 226Ra, 232Th and 40K in Granite, Copper, iron, silver and gold ore samples of Chitradurga district of Karnataka were studied in detail. The study was important because of the large scale mining of different minerals and ores in Chitradurga region. Granite, copper, iron, silver and gold ore samples were collected from different locations and analyzed for primordial radionuclides concentrations by using HPGe gamma ray spectrometer. Gamma ray spectrometry study was also performed on different types of commercially important decorative stones and colored granites. The 226Ra, 232Th and 40K contents in different ore samples were found to vary from <0.36 - 10.2Bqkg-1,<0.18 - 6.4 Bqkg-1 and 4.2- 220.7 Bq kg-1. The concentration of 226Ra, 232Th and 40K,in granites and decorative stones were found in the range of 1.4-54.5 Bqkg-1, 1.7-77.4 Bqkg- 1 and 21.4 -631.7Bqkg-1 respectively. The results are presented and discussed in the light of the geological features of the region.**
- **Page(s): 26-28**
- **Date of Publication: 06 October 2016**
- **Shivaprakash M C**Department of Physics, Channabasaveshwara Institute of Technology, Gubbi -572 216, India.
- **Seshadri B S**Department of Postgraduate Studies and Research in Physics, The National Degree College (Autonomous), Jayanagar, Bangalore – 560 070, India.
- **Karunakara N**University Science Instrumentation Centre, Mangalore University, Mangalagangotri – 574 199, India.
- **Anandaram B N**Department of Physics, JNN College of Engineering, Shimoga, India.
**References**
**[1]. Anandaram BN, Manjunatha S and Venkataramaiah P, (1995).“Study of Environmental Gamma Radiation Level in and around himoga, Karnataka, India.”,Proc. Nat.Sym.Rad.Phys.11,,p.119-122. [2]. EML Procedure Manual, Edited by Herbert L, Volchok and Gail de planque,(1983). 26th Edn (Environmental Laboratory). [3]. El-Taher A, Uosif MAM and Orabi AA,(2007). Radiation Protection Dosimetry,vol.124,No.2,p.148-154. [4]. Fathavind AA, Amidi J, Hafezi S, (2007),Iran.J.Radiat.Res.,.4(4),p.201-204. [5]. Ferdoas S, Al-Saleh and Badriah Al-Berzan,(2007), Journal of Nuclear and Radiation physics,vol2,No.1,p.25-36. [6]. Mysore State Gazetteer, Chitradurga district, Edited by BN SriSathyan, (1967), chapter I,p.1-26. [7]. Ningappa, Sannappa and Karunakara N,(2008). Study on radionuclides in granite quarries of Bangalore rural District, Karnataka, India, Radiation Protection Dosimetry, vol 131, Issue 4, p 495-502. [8]. Radhakrishna BP, (1996).Mineral Resources of Karnataka,(Geological Survey of India) p.167-168,251- 253(1996),287-289,302-303. [9]. Ramasamy V, Dheenathayalu M, Meenakshisundaram V et al,(2002),Current Science,vol83, No.9. [10]. UNSCEAR (United Nations Scientific Committee on Effects of Atomic Radiation),(1993) Exposure from Natural Sources of Radiation,AnnexA,p.69. [11]. UNSCEAR (United Nations Scientific Committee on Effects of Atomic Radiation),(1988) Sources, effects and risks of ionizing radiation,AnnexA. [12]. UNSCEAR (United Nations Scientific Committee on Effects of Atomic Radiation),(2000) Exposure from Natural Sources of Radiation,AnnexB,p.136. [13]. Website, https://en.wikipedia.org/wiki/chitradurga\_district.**
Shivaprakash M C, Seshadri B S, Karunakara N, Anandaram B N "Study of Radionuclide Distribution around Chitradurga Mining Areas, Karnataka" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 9, pp.26-28 2016
A numerical solution of a steady two-dimensional free convection heat and mass transfer along a horizontal plate in a porous medium is presented with the presence of Dufour and Soret effects. Free convection flow of non-Newtonian fluids along a non-isothermal plate embedded in a saturated porous medium together with the thermal stratification effect is analyzed based on the boundary layer approximation. The effects of various parameters entering into the problem have been investigated on the flow field through graphs.
P. Geetha
Department of Mathematics, Bannari Amman Institute of Techonology, Sathyamangalam-638401, Tamilnadu, India, , , **[1]. Alam,M.S., Rahman, M.M. and Samad, M.A. (2006): Numerical study of the combined free- forced convection and mass transfer from a flow past a vertical porous plate in a porous medium with heat generation and thermal diffusion, non Linear Analysis Modeling and Control, 2(4), 331-343. [2]. Chamkha A.J. and Khaled A.R.A. (2001): Similarity solutions for hydromagnetic simultaneous heat and mass transfer by natural convection from an inclined plate with internal heat generation or absorption, Heat Mass Transfer, 37, 117-123. [3]. Ingham D.B. and Pop, I (2002): Transport phenomena in porous media: volume 2, pergamon pres, Oxford. [4]. Postelnicu A. (2004): Influence of a magnetic field on heat and mass transfer by natural convection from vertical surfaces in porous media considering Soret and Dufour effects, International Journal of Heat and Mass Transfer, 47 1467-1472. [5]. Schlichting H.(1979): Boundary Layer Theory, McGraw-Hill, New York.**, , **P. Geetha "Dufour and Soret Effects on Thermal Stratification and Non-Newtonian Fluid Parameter on Convective Heat and Mass Transfer along a Horizontal Plate in a Porous Medium" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 9, pp.29-32 2016**, , **For Full Text Click here**[](https://ijltemas.in/DigitalLibrary/Vol.5Issue9/29-32.pdf "Dufour and Soret Effects on Thermal Stratification, and Non-Newtonian Fluid Parameter on Convective, Heat and Mass Transfer along a Horizontal Plate in a, Porous Medium") **Share on Social media** , , , , , ## [Effect of Mass Transfer on Free Convective Fluctuating MHD Flow through Porous Medium Past a Vertical Plate with Variable Temperature and Heat Source](https://ijltemas.in/DigitalLibrary/Vol.5Issue9/33-41.pdf)
Dr. R. K. Dhal
- **September 2016**
Page No.: 33-41
- [Abstract](#tab-21), - [Authors](#tab-22), - [References](#tab-23), - [Cite](#tab-24), - [Full Text & Share](#tab-25), , **Effect of Mass Transfer on Free Convective Fluctuating MHD Flow through Porous Medium Past a Vertical Plate with Variable Temperature and Heat Source has been studied. The dimensionless governing equations are solved using double perturbation parameter equations to remove the coupler equations. The main objective of this paper is to study the effects of mass transfer coupler with velocity and temperature through graphs and tables in velocity field and temperature field.**
Page(s): 33-41
- **Date of Publication: 06 October 2016**, , , , , - **Dr. R. K. Dhal**P.G.T. Mathematics, J.N.V. Gajapati, PKD , Odisha, India
**[1]. Soundalgekar VM (1979). Unsteady forced and free convective flow past an infinite vertical porous plate with oscillating wall temperature and constant suction. Astrophysics and Space Science, 66, pp. 223-233. [2]. Raptis A. and Kafousias N., (1982), “Magneto hydrodynamics free convection flow and mass transfer through a porous medium bounded by an infinite vertical porous plate with constant heat flux ”, Can. J. Phys. Vol.60, pp.1725-1729. [3]. Singh AK, Gholami HR, and Soundalgekar VM (1996). Transient free convection flow between two vertical parallel plates. Wärme and Stöffubertragung (Heat and Mass Transfer), 31, pp. 329-331. [4]. Singh AK and Paul T (2006). Transient natural convection between two vertical walls heated/cooled asymmetrically. International Journal of Applied Mechanics and Engineering, 11(1), pp. 143-154. [5]. Narahari M (2008). Free convection flow between two long vertical parallel plates with variable temperature at one boundary. Proceedings of International Conference on Mechanical & Manufacturing Engineering (ICME2008), Johor Bahru, Malaysia. [6]. Muthucumaraswamy R. ,Sundarraj M., and Subbhramanian VS.,(2009) “Unsteady flow past an accelerated infinite vertical plate with variable temperature and uniform mass diffusion”, International journal of applied mathematics and Mechanics.vol.5no-6,pp.51-56. [7]. Senapati N., Jena B., Dhal R.K.,(2009) Effect of heat and mass transfer on MHD free convection flow past in oscillating vertical plate with variable temperature embedded in porous medium. Orissa Journal of physics 2(16) ,357-572. [8]. Mishra SR.,Dash GC. and Acharya M. ,(2013)”Free convective fluctuating MHD flow through porous medium past a vertical porous plate with variable temperature”,International Journal of heat and Mass Transfer,vol.57,no-2,pp.433-438.**
Dr. R. K. Dhal "Effect of Mass Transfer on Free Convective Fluctuating MHD Flow through Porous Medium Past a Vertical Plate with Variable Temperature and Heat Source" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 9, pp.33-41 2016
Aditi A. Abhyankar, S. M. Chaudhari·September 2016·pp. 42-50
DC motor speed and position control finds various applications in Robotics, Material handling, Industrial drives and Automation. In this paper, a control of Five Bar Mechanism Motion is obtained by DC motor position and speed control using Fuzzy rule-based system. The Five Bar Mechanism has second degree of freedom. The second degree of freedom is very difficult to handle as for the deterministic positions there can be multiple orientations. By providing the restriction of the input links and controlling the positions of the input links the degree of freedom is reduced to one. Mechanically such a restriction is possible through the use of gears which have the limitation due to gear ratio. With rule based system it is possible to achieve desired orientation of path by controlling speeds of the two DC motors. Using DC motors instead of gears one can achieve various deterministic orientations of mechanism. The dimensions of the mechanism may introduce the locking conditions. The locking condition means the two input links have the restriction of position with respect to other. The rule base system also detects the locking position and resets the system. The system is simulated using Software developed for Five Bar Planar Mechanism. The coordinates for the motion path or locus are obtained through the software. The fuzzy rule based system controls the motion of motor, such that the desired coordinates are travelled using a smooth curve. The five bar mechanism can trace the desired path with an accuracy of ±2.5%.
Aditi A. Abhyankar
Department of Electrical Engineering, AISSMS’s Institute of Information Technology, Kennedy Road, Pune , Maharashtra, India
S. M. Chaudhari
Professor, Department of Electrical Engineering, AISSMS’s Institute of Information Technology, Kennedy Road, Pune , Maharashtra, India, , , **[1] R.Manikandan R.Arulmozhiyal, ―Position Control of DC Servo Drive Using Fuzzy Logic Controller‖ [2] Munadi, M. Amirullah Akbar ―Simulation of Fuzzy Logic Control for DC Servo Motor using Arduino based on Matlab/Simulink‖, 2014 International Conference on Intelligent Autonomous Agents, Networks and Systems Bandung, Indonesia, August 19-21, 2014. [3] G. Sudha, Dr. R Anita, ―Performance Based Comparison Between Various Z-N Tuninng PID And Fuzzy Logic PID Controller In Position Control System Of Dc Motor‖ International Journal on Soft Computing (IJSC) Vol.3, No.3, August 2012. [4] Her-Terng Yau1, Po-Hsien Yu and Yuan-Hung Su, ―Design and implementation of Optimal Fuzzy-PID Controller for Dc servo motor‖, Appl. Math. Inf. Sci. 8, No. 1L, 231-237 (2014) 231. [5] A.K. Abhyankar, S.Y. Gajjal, ― Simulation Model for Coupler Curve Generation using Five Bar Planar Mechanism With Rotation constraint‖, IJLTEMAS (ISSN 2278-2540) Volume IV, Issue III , March 2015, pp 88-92. [6] A.K. Abhyankar, S.Y. Gajjal, ― Software Modelling of Coupler Curve Generation using Five Bar Constrained Mechanism‖, International Journal of Mechanical Engineering and Information Technology IJMEIT (ISSN 2348-196x) Volume III, Issue IV , April 2015, pp 1097- 1106.**, , **Aditi A. Abhyankar, S. M. Chaudhari, "DC Motor Control using Fuzzy Logic Controller for Input to Five Bar Planar Mechanism" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.5 issue 9, pp.42-50 2016**, , **For Full Text Click here**[](https://ijltemas.in/DigitalLibrary/Vol.5Issue9/42-50.pdf "DC Motor Control using Fuzzy Logic Controller for, Input to Five Bar Planar Mechanism") **Share on Social media** , , , , , ## [Water Pump with Dual Vane Flow](https://ijltemas.in/DigitalLibrary/Vol.5Issue9/51-53.pdf)
Aditya Pratap Singh, Anirudh Mattoo, Snehav Sharma, Rajat Mishra
- **September 2016**
Page No.: 51-53
- [Abstract](#tab-31), - [Authors](#tab-32), - [References](#tab-33), - [Cite](#tab-34), - [Full Text & Share](#tab-35), , **In the world of modernization, the evolution and distribution of water supply have attained the zenith, but it still lacks the necessary applications which can transform and helps to achieve contaminated free water at the initial stage. Today, most of the households have one or the other way for cleaning water supplied by municipalities or reached from the ground. The standard candle filters or Reverse osmosis process helps to obtain clean and contaminated free water for drinking purpose, but still, we lack in one area. The water, used for many other purposes, and that also requires less contaminated water. By reducing the pollutant level before entering the water storage tanks will lead to contaminated free water. Our research also considers the price importance for the general class, including this prospect, the pumps connected with honeycomb filter just before the impeller. The filter consists of the 'alum,' gravel and activated charcoal which placed on the same shaft of the impeller, as the impeller starts moving, the filter also starts rotating. The TDS sensors help to know the TDS value and the pump provide warning signal if the value is above the provided TDS value and can be automatically off, if the kill switch button is turned on. The pump equipped with the flow sensor which does not allow the pump to run idle, as the water stops flowing from the pump, it automatically cuts off. It saves pump from heating and damage. The eco and power mode of the pumps helps the user to increase the suction and discharge flow as per the need. The power mode consists of the radial impeller empowered by 1 H.P. motor and the axial impeller powered by 0.5 H.P. motor. It helps to increase the suction and discharge flow, at the time of need. The eco mode consists of the only radial impeller, so it saves energy when more power is not required.**
Page(s): 51-53
- **Date of Publication: 06 October 2016**, , , , , - **Aditya Pratap Singh**Department of Mechanical and Automation Engineering, Amity University, Noida, Uttar Pradesh, India
Anirudh Mattoo
Department of Mechanical and Automation Engineering, Amity University, Noida, Uttar Pradesh, India
Snehav Sharma
Department of Mechanical and Automation Engineering, Amity University, Noida, Uttar Pradesh, India
Rajat Mishra
Department of Mechanical and Automation Engineering, Amity University, Noida, Uttar Pradesh, India
**[1]. Yun Chuan-yuan. Numerical Calculation of Turbulent Flow and Performance Experiment of Mixed-flow Pump Impeller. Transactions of the Chinese Society for Agricultural Machinery. V01.39, No.3 2008. 52-55. [2]. MA Xi-jin, ZHANG Huachuan, ZHANG Kewei. Numerical Simulation and Experiment Analysis of Thirdly Circulating Feedwater Mixed-flow Pump in Nuclear Power Station. FLUID MACHINERY. Vol.37, No.09, 2009 6-9. [3]. Comprehensive Microsystems, Vol. 2, Chapter 2.07, Elsevier Books, 2007 [4]. Brown et al 2007 J. Brown, M. Sobsey, S. Proum. Use of ceramic water filters in Cambodia. WSP-World Bank Field Note, Washington DC, USA (2007). [5]. Brown and Sobsey, 2010 J. Brown, M.D. Sobsey Microbiological effectiveness of locally produced ceramic filters for drinking water treatment in Cambodia. [6]. AutoGrid™ V.5 user guide. Numeca; 2007.**
Aditya Pratap Singh, Anirudh Mattoo, Snehav Sharma, Rajat Mishra "Water Pump with Dual Vane Flow" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.5 issue 9, pp.51-53 2016
Jignesh K Patel, Satyam L Panchal, Siddharth R Siddhpuria·September 2016·pp. 54-57
Demolition of a house needs a strict attention and supervision to carry out the demolition and hen new construction is done. The project study includes the process of house lifting and new construction of building. Estimation, drawings are prepared for both house lifting and new construction of building. Drawings are prepared in accordance with the site visited for the house lifting. From the drawings estimation of house lifting method and new construction are done, which gives the total cost of both methods.The project study will give us the idea to adopt a particular method on the basis of feasibility, economy in cost & time and practicability.
Jignesh K Patel
Department of Civil Engineering, Government Enginerring College, Bharuch, India
Satyam L Panchal
Department of Civil Engineering, Government Enginerring College, Bharuch, India
Siddharth R Siddhpuria
Department of Civil Engineering, Government Enginerring College, Bharuch, India
**[1]. Ashok K. Jain (2002), Reinforced Concrete Limit State Design, 6th Edition, Nem Chand & Bros, Roorkee. [2]. P.C.Varghese (2002), Limit State Design of Reinforced Concrete, 2nd Edition, Prentice-Hall of India Pvt. Ltd., New Delhi. [3]. P.C.Varghese, Version 2, (2001), Advanced Reinforced Concrete Design Prentice-Hall of India Pvt. Ltd., New Delhi, 2001. [4]. S.Unnikrishna Pillai and Devdas Menon (2003), Reinforced Concrete Design, 2nd Edition, Tata McGraw-Hill Publishing Company Limited, New Delhi,. [5]. P.Dayaratnam Limit (2004), State Design of Reinforced Concrete Structures, Oxford & I.B.H. Publishing Company Pvt. Ltd., New Delhi. [6]. S.N.Sinha (1990), Reinforced Concrete Design, 1st Revised Edition, Tata McGraw-Hill Publishing Company. New Delhi. [7]. S.K.Mallick and A.P.Gupta (1996), Reinforced Concrete, 6th Edition, Oxford & IBH Publishing Co. Pvt. Ltd. New Delhi. [8]. I.C.Syal and R.K.Ummat Behavior (1989), Analysis & Design of Reinforced Concrete Structural Elements, A.H.Wheeler & Co. Ltd., Allahabad. [9]. I.C.Syal and A.K.Goel (1992), Reinforced Concrete Structures, 3rd Edition, A.H.Wheeler & Co. Ltd., Allahabad. [10]. Arthur H. Nilson, David Darwin and Charles W. Dolan (2004), Design of Concrete Structures, 13th Edition, Tata McGraw-Hill Publishing Company Limited, New Delhi. [11]. A.M. Neville, Longman, 2000, Properties of Concrete, 4th Edition, 1st Indian reprint. [12]. C.E.Reynolds and J.C.Steedman (1997), Reinforced Concrete Designer’s Handbook, 10th Edition, , E & FN SPON, London. [13]. IS 456: 2000 :Indian Standard Plain and Reinforced Concrete – Code of Practice (4th Revision), BIS, New Delhi. [14]. IS: 456 – 1978: Design Aids for Reinforced Concrete, BIS, New Delhi. [15]. Building lifting, house lifting: https://www.mcblrhouselifting.com/building-lifting-services- 3254403.html. [16]. The Significance of House Lifting: https://ezinearticles.com/?The- Significance-Of-House-Lifting&id=71771753 [17]. THE HINDU - Raise your home, if need be, with the foundation : https://www.thehindu.com/features/homes-and-gardens/raise-yourhome- if-need-be-with-the-foundation/article3456262.ece4 [18]. Elevating Your House - Federal Emergency Management Agencywww. fema.gov/pdf/rebuild/mat/sec5.pdf**
Jignesh K Patel, Satyam L Panchal, Siddharth R Siddhpuria "House lifting: Economic and Environment Friendly Method for Foundation Repair" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 9, pp.54-57 2016
Apache spark is well known tool for big data analytics. It is preferred to carry out data mining task on a very big dataset on distributed environment. It supports distributed computation (clusters) due which we can achieve parallelism for computation among the node in the cluster. Number of machines in the cluster is a major factor while setting up the cluster. More number of machines means you will get faster results. Major advantage of using spark is that, it supports variety of languages like Java, Python, Scala etc. This articles focuses on clustering of text data. As clustering of text data is very different than clustering of numeric data. Text clustering has many challenges like sparsity of data which we must consider while carrying out clustering. Another major challenge is building word vocabulary from dataset. All major steps which are needed to carry out text clustering are described in detail in this article.
Jaimin Shah
Student, Department of CSE, Nirma University, Ahmedabad, India
**[1] Data Mining: Concepts and Techniques by Han by Han (Author) [2] Data Mining: Introductory and Advanced Topics by Margaret H. Dunham [3] Introduction to Data Mining by Pang - Ning Tan [4] Evan R Sparks, Ameet Talwalkar, Michael J. Franklin, Michael I. Jordan, and Tim Kraska. TuPAQ: An efficient planner for largescale predictive analytic queries. arXiv:1502.00068, 2015. [5] MLlib: Machine Learning in Apache Spark [6] Xiangrui Meng, Joseph Bradley, Burak Yavuz, Evan Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, DB Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, Ameet Talwalkar arXiv:1505.06807, 2015. [7] https://spark.apache.org/news/spark-wins-daytona-gray-sort-100tbbenchmark. html**
Jaimin Shah "News Clustering Using Spark" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 9, pp.58-61 2016
This research paper is a technical work done to analyze and implement the shape memory property of an alloy known as Nitinol (Nickel Titanium Naval Ordinance Laboratory). This alloy has a unique feature of regaining is shape back to its original shape once subjected to a temperature range of about 60- 80⁰C. This research paper focuses mostly on this property of NiTinol, using it as wired loop around two wheels in the form of a pulley in which one a is a driving wheel, and the other is the driven one. The device is known as Nitinol Heat device. Both the wheels are designed and aligned in such a way that one of its wheels immersed in hot water (generally the bottom wheel) which is the driving wheel, the other wheel is suspended in the air which is the driven wheel. The wire initially annealed in the form of a straight wire provides the necessary torque for generating enough power so that the pulley starts to move on its own just by using the heat created by the hot fluid. The bottom wheel, which has NiTiNOL bent around it, when it comes in contact with the hot water, the alloy starts to regain its original shape. The bent wire at the bottom starts to push the lower wheel generating enough torque that drives the bottom wheel on its own and hence leading to a cyclic Reaction and this, in turn, drives the upper wheel creating a self-driven pulley which no mechanical effort or force provided for its motion. Moreover, this project focuses on the useful applications of the NiTiNOL Thermobile in the current industrial scenario where there are ample sources of waste hot water. Some of the viable applications are Radiator fan an automobile Residual hot water from the boiler (for power generation).
Snehav Sharma
Department of Mechanical and Automation Engineering, Amity University, Noida, Uttar Pradesh, India
Anirudh Mattoo
Department of Mechanical and Automation Engineering, Amity University, Noida, Uttar Pradesh, India
Aditya Pratap Singh
Department of Mechanical and Automation Engineering, Amity University, Noida, Uttar Pradesh, India
Rajat Mishra
Department of Mechanical and Automation Engineering, Amity University, Noida, Uttar Pradesh, India
**[1]. Buehler, W. J.; Gilfrich, J. W.; Wiley, R. C. (1963). "Effects of Low-Temperature Phase Changes on the Mechanical Properties of Alloys near Composition TiNi". Journal of Applied Physics 34 (5):14751477. Doi:10.1063/1.1729603. [2]. Wang, F. E.; Buehler, W. J.; Pickart, S. J. (1965). "Crystal Structure and a Unique Martensitic Transition of TiNi". Journal of Applied Physics 36 (10)32323239. doi:10.1063/1.1702955. [3]. "The Alloy That Remembers", Time, 1968-09-13Kauffman, G. B.; Mayo, I. (1997). "The Story of NiTinol: The Serendipitous Discovery of the Memory Metal and Its Applications". Chemical Educator 2 (2):121. doi:10.1007/s00897970111a. [4]. Wang, F., "The Thermobile Nitinol Engine," SAE Technical Paper 851495, 1985, doi: 10.4271/851495. [5]. 5.Nitinoldrivedevice EP 0286780 B1 [6]. Wang, F. E.; Buehler, W. J.; Pickart, S. J. (1965). "Crystal Structure and a Unique Martensitic Transition of TiNi". Journal of Applied Physics. 36 (10): 3232–3239.doi:10.1063/1.1702955 [7]. Vollach, Shahaf, and D. Shilo. "The mechanical response of shape memory alloys under a rapid heating pulse." Experimental Mechanics 50.6 (2010): 803-811. [8]. "Nitinol Heat Engine Kit". Images Scientific Instruments. 2007. Retrieved 2011**
Snehav Sharma, Anirudh Mattoo, Aditya Pratap Singh, Rajat Mishra "Applications of Nitinol Propulsion Device" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 9, pp.62-65 2016
Anila Raechal John, Divya N A·September 2016·pp. 66-70
Wind energy production has been growing at an increasingly rapid rate, and will continue to do so in the future. In fact, it has become an integral part in supplying future energy needs, making further advancements in the field exceedingly critical. This WECS consists of a 6 kW permanent magnet synchronous generator connected to the transmission grid through a power conversion scheme. The topology of this converter system consists of an active AC/DC rectifier as well as a DC/AC IGBT inverter, used to interface the DC link with the grid. In micro wind turbine applications, permanent magnet synchronous generator (PMSG) is widely used. A novel algorithm for the estimation of rotor angle of the PMSG, based on flux estimators was implemented. And the system behavior during fault is observed.
Anila Raechal John
PG Student, Dept. of EEE, MBCET, Trivandrum, Kerala, India
Divya N A
Assistant Professor, Dept. of EEE, MBCET, Trivandrum, Kerala, India
**[1]. Giampaolo Buticchi, Emilio Lorenzani, Fabio Immovilli, Claudio Bianchini, “Active Rectifier With Integrated System Control for Microwind Power Systems”, IEEE Trans. Sustainable energy, vol. 6, no. 1, January 2015. [2]. Natalia Angela Orlando,Marco Liserre,, Rosa Anna Mastromauro,and Antonio Dell’Aquila,”A Survey of Control Issues in PMSG-Based Small Wind-Turbine Systems”, IEEE Transactions On Industrial Informatics, vol. 9, no. 3, August 2013. [3]. Ming Yin, Gengyin Li, Ming Zhou,Chengyong Zhao,” Modeling of the Wind Turbine with a Permanent Magnet Synchronous Generator for Integration” ,IEEE, ,Power Engineering Society General Meeting,2007 [4]. F. Blaabjerg, Z. Chen, R. Teodorescu, F. Iov, “Power Electronics in Wind Turbine Systems”,IEEE, IPEMC 2006 [5]. S. Li, T. Haskew, R. Swatloski, and W. Gathings, “Optimal and direct current vector control of direct-driven pmsg wind turbines,” IEEE Trans.Power Electron., vol. 27, no. 5, pp. 2325–2337, May 2012. [6]. .D. Xiao and M. Rahman, “Sensorless direct torque and flux controlled ipm synchronous machine fed by matrix converter over a wide speed range,” IEEE Trans. Ind. Informat., vol. 9, no. 4, pp. 1855–1867,Nov. 2013. [7]. .H. Kim, J. Son, and J. Lee, “A high-speed sliding-mode observer for the sensorless speed control of a PMSM,” IEEE Trans. Ind. Electron., vol. 58, no. 9, pp. 4069–4077, Sep. 2011. [8]. 8.Rubi Garcia Hernandez, Raul Garduno Ramirez, “Modeling and Control of a Wind Turbine Synchronous Generator”, Robotics and Automotive Mechanics Conference, 2011 Electronics**
Anila Raechal John, Divya N A "Analysis of Current and Voltage Behavior during a Fault in Wind Energy Conversion System" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 9, pp.66-70 2016
