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Volume-3 Issue-6: Published on November 10, 2013
Volume-3 Issue-6: Published on November 10, 2013
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Volume-3 Issue-6, November 2013, ISSN:  2278-3075 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. 

Page No.



Sujit Das, R. Behera, P.K.Bardhan, S. Patra,B. Oraon,G. Sutradhar

Paper Title:

Experimental Analysis of Density of Sintered SiCp Reinforced AMMCS Using the Response Surface Method

Abstract:   The continuous development of technology in automotive manufacturing process demands new solutions which is  largely de-pendent on the development of lightweight, non-pollution for the environment materials of improved mechanical properties and also with a low cost production. According with these required characteristics of materials, the aims of this paper were to manufacturing Al-SiCp composites by powder metallurgy (P/M) processing route. Since density is a pre-dominant factor in the performance of powder metallurgy components, it has been primarily considered for the present investigation. An experimental investigation have been undertaken in order to understand the variation of density with respect to the variation of process parameters viz., variation of silicon carbide proportion, compacting pressure and sintering time. The relation among the various process parameters with density has been studied. A mathematical model has been developed using second order response surface model (RSM) with central composite design (CCD) considering the above mentioned process parameters. The mathematical model which developed in this investigation would help in predicting the variation in density with the change in the level of different parameters influencing the density variation. This mathematical model also can be useful for setting of optimum value of the parameters for achieving the target density.

    Powder Metallurgy, Density, Sintering, Response Surface Model, Central Composite Design.


1.       Z. S. Joel, Introduction to Powder Metallurgy , American P.M.Institute, Princeton, 1976
2.       T.Navrátil,  I.Šestáková, “Application of Modern Electrochemical Techniques and Electrode Materials in Determination of Trace Elementsin Environment”, 5th WSEAS Int. Conf. on Environment, Ecosystems and Development, Tenerife, Spain, December 14-16, 2007, pp. 169-174

3.       R. M. German,  “Powder Metallurgy of Iron and Steel,” John Willy & Sons, New York, 1998.

4.       G. S.Upadhyaya,  “Powder metallurgy Technology,” Cambridge International Science Publishing, Cambridge, 1997.

5.       K. S.Narasimhan,, “Recent Advances in Ferrous Powder Metallurgy,” Advanced Performance Materials, Vol. 3, No. 1, 1996, pp. 7-27.

6.       B.Ogel, and R.Gurbuz, ‘Microstructural Characterization and Tensile Properties of Hot Pressed Al–SiC Composites Prepared from Pure Al and Cu Powders,” 2000.

7.       R. U. Vaidya, and K. K. Chawla, , In: K. Upadhya, Ed., Developments in Ceramic and Metal Matrix Composites, ASM International, Metals Park, 1991, p. 253.

8.       J. J. Lewandowski, and C.Liu,, In: P. Kumar, Ed., “Processing and Properties for Powder Metallurgy Composites,” 1988, p. 117.

9.       W. C.Harrigan,, Journal of Materials Science and Engineering Vol. A244, 1998, p. 75.

10.    V.Holcman,  K.Liedermann, “New mixing rule of polymer composite systems”, WSEAS TRANSACTIONS on Electronics, Issue 9, Volume 4, September 2007, pp.181-185.

11.    H. G. Rutz, and. F. G. Hanejko, , “The Application of Worm Compacting to High Density Powder, Metallurgy Parts,” PM2TEC’97 International Conference on Powder Met-allurgy & Particulate Materials, Chicago, 1997.

12.    H. G. Rutz, and , F. G.Hanejko, “High Density Processing of High Performance Ferrous Materials. Advances in Powder Metallurgy and Particulate Materials,” Metal Powder In-

13.    L. A. Dobrzanshi,  J. Otereba, M. G. Actis and M.Rosso, “Microstructural Characteristics and Mechanical Proper-ties of Ni-Mo-(W) Steels,” Journal of Achievements in Materials and Manufacturing Engineering, Vol. 18, 2006, p. 347.

14.    K. S. Naransimhan,   “Sintering of Powder Mixtures and the Growth of Ferrous Powder Metallurgy,” Materials Chemistry and Physics, Vol. 67, No. 1-3, 2001, pp. 56-65.

15.    W.-F.Wang,, “Effect of Powder Type and Compacting Pressure on the Density, Hardness and Oxidation Resis-tance of Sintered and Steam Treated Steels,” Journal of Materials Engineering Performance, Vol. 16, No. 5, 2007, pp. 533-538.

16.    K.Y. Kung , J.-T. Horng, and C K.-T.hiang,  “Material Removal Rate and Electrode Wear Ratio Study on the Powder Mixed Electrical Discharge Machining of Cobalt-Bonded Tungsten Carbide,” International Journal of Advanced Manufacturing Technology, Vol. 40, No. 1-2, 2009, pp. 95-104.

17.    A. K. Eksi, and A. H. Yuzbasioglu,  “Effect of Sintering and Pressing Parameters on the Densification of Cold Iso- Statically Pressed Al and Fe Powder,” Materials & De-sign, Vol. 28, No. 4, 2007, pp. 1364-1368.

18.    D. Chatterjee,, B.Oraon, , G.Sutradhar , and P. K. Bose,, “Prediction of Hardness for Sintered HSS Components Using Response Surface Method,” Journal of Materials Processing Technology, Vol. 190, No. 1-3, pp. 123- 129,2007.

19.    G. E. P. Boxes, and N. R.Draper,  “Emperical Model Building and Response Surfaces,” Wiley, New York, 1987.

20.   D. C.Montgomery,  “Design and Analysis of Experiments,” John Wiley & Sons, New York, 1991.




Md Minhaj Ahmed

Paper Title:

Reactor Physics and the Nuclear Fuel Cycle

Abstract:   Questions regarding the feasibility of fusion power are examined, taking into account fuel cycles and breeding reactions, energy balance and reactor conditions, approaches to fusion, magnetic confinement, magneto hydro dynamic instabilities, micro instabilities, and the main technological problems which have to be solved. Basic processes and balances in fusion reactors are considered along with some aspects of the neutronics in fusion reactors, the physics of neutral beam heating, plasma heating by relativistic electrons, radiofrequency heating of fusion plasmas, adiabatic compression and ignition of fusion reactors, dynamics and control of fusion reactors, and aspects of thermal efficiency and waste heat. Attention is also given to fission-fusion hybrid systems, inertial-confinement fusion systems, the radiological aspects of fusion reactors, design considerations of fusion reactors, and a comparative study of the approaches to fusion power. The nuclear fuel cycle, also called nuclear fuel chain, is the progression of nuclear fuel through a series of differing stages. It consists of steps in the front end, which are the preparation of the fuel, steps in the service period in which the fuel is used during reactor operation, and steps in the back end, which are necessary to safely manage, contain, and either reprocess or dispose of spent nuclear fuel. If spent fuel is not reprocessed, the fuel cycle is referred to as an open fuel cycle (or a once-through fuel cycle); if the spent fuel is reprocessed, it is referred to as a closed fuel cycle..

  Nuclear Power Reactors, Reactor Technology, Technology Assessment, Thermonuclear Power Generation, Controlled Fusion, Feasibility Analysis, Nuclear Energy, Nuclear Fusion, Nuclear Physics, Plasma Heating, Plasma Physics, Radiation Damage, Relativistic Particles.


1.          "How much depleted uranium hexafluoride is stored in the United States?". Depleted UF6 Management Information Network. Retrieved 2008-01-15.
2.          "Susquehanna Nuclear Energy Guide" (PDF). PPL Corporation. Retrieved 2008-01-15.

3.          "Nuclear Fuel Cycle | World Nuclear Transport Institute". Retrieved 2013-04-20.

4.          V.V. Rondinella VV et al. (2000) Radiochimica Acta 88:527-531

5.          Miserque F et al. (2001) J Nuclear Materials 298:280-90

6.          Further reading on fuel cladding interactions: Tanaka K et al. (2006) J Nuclear Materials 357:58-68

7.          P. Soudek, Š. Valenová, Z. Vavříková and T. Vaněk, Journal of Environmental Radioactivity, 2006, 88, 236-250

8.          A. Preston, J.W.R. Dutton and B.R. Harvey, Nature, 1968,218, 689-690.

9.          page 169 Generic Assessment Procedures for Determining Protective Actions During a Reactor Accident, IAEA-TECDOC-955, 1997

10.       page 173 Generic Assessment Procedures for Determining Protective Actions During a Reactor Accident, IAEA-TECDOC-955, 1997

11.       page 171 Generic Assessment Procedures for Determining Protective Actions During a Reactor Accident, IAEA-TECDOC-955, 1997

12.       M. I. Ojovan, W.E. Lee. An Introduction to Nuclear Waste Immobilisation, Elsevier Science Publishers B.V., ISBN 0-08-044462-8, Amsterdam, 315pp. (2005).

13.       Harvey, L.D.D. (2010). Energy and the New Reality 2: Carbon-Free Energy Supply- section 8.4. Earthscan. ISBN 9781849710732.

14.       "Management of Spent Fuel at Nuclear Power Plants". IAEA Bulletin. Retrieved 2008-01-15.

15.       "The Preparation of the EFTTRA-T5 Americium Transmutation Experiment" (PDF). Seventh Information Exchange Meeting on Actinide and Fission Product Partitioning and Transmutation. October 2002. Retrieved 2008-01-15.

16.       Gudowski, W. (August 2000). "Why Accelerator-Driven Transmutation of Wastes Enables Future Nuclear Power?" (PDF). XX International Linac Conference. Retrieved 2008-01-15.

17.       Heighway, E. A. (1994-08-01). "An overview of accelerator-driven transmutation technology" (PDF). Retrieved 2008-01-15.

18.       "Accelerator-driven Systems (ADS) and Fast Reactors (FR) in Advanced Nuclear Fuel Cycles" (PDF). Nuclear Energy Agency. Retrieved 2008-01-15.

19.       "Concept of a Small-scale Electron Accelerator Driven System for Nuclear Waste Transmutation Part 2. Investigation of burnup" (PDF). ScienceDirect. March 2005. Retrieved 2008-01-15.

20.      Dr. Chidambaram R. (1997). "Towards an Energy Independent India". Nu-Power. Nuclear Power Corporation of India Limited. Archived from the original on 2007-12-17. Retrieved 2008-01-15.




Ram Prasad Verma, Manish Verma, Arvind Dewangan

Paper Title:

Thrust Bearing Governed Clinker Extraction System in Producer Gas Plant

Abstract:  In the process of Producer Gas Production; clinker/ash is formed as a waste material. This clinker is removed by equipment named as Ash Bowl which rotates on the “Guide Roller” by the application of hydraulic pressure. This process having many problems like formation of large size clinker which require excess hydraulic pressure, guide roller is unable to scatter the hydraulic pressure equally in all the direction on the ash bowl to crush the clinker, more hydraulic pressure is required for the movement of the ash bowl, more time is required to replace the guide roller for its maintenance. In order to eliminate above mention problems, guide roller has been replaced by the thrust bearing which improves productivity by reducing break down time, reducing total man power required & reducing maintenance cost.

In order to eliminate above mention problems, guide roller has been replaced by the thrust bearing which improves productivity by reducing break down time    

1.           Jindal Steel & Power Ltd., Kharsia Road Raigarh, (C.G.) Citation from books:
2.          SKF general catalogue 4000/IIE, Reg. 47.23000.1991.02




P. D. Sahare and Vipin Kumar

Paper Title:

Optical and Magnetic Properties of Cu-Doped ZnO Nanoparticles

Abstract:   Effect of Cu2+ ions doping on the photoluminescence (PL) and magnetic behavior of ZnO based host material nanoparticles have been investigated. A simple chemical route has been employed for the synthesis of Cu2+ incorporated ZnO nanoparticles for the present study. The prepared synergetic nanoparticles were analyzed for structural confirmation under X-ray diffraction (XRD) and Raman spectroscopic investigations. XRD patterns of the prepared nanoparticles of different Cu2+ concentrations reveal some shifting in the peak positions compared to that of the pure ZnO, which is attributed to the structural deformation in the presence of Cu2+ ions. Furthermore, transmission electron microscopy (TEM) studies have been performed for studying their morphology. TEM studies clearly show the formation of spherical and quasi spherical shaped nanoparticles of ~ 50 nm diameters. It is revealed from PL studies that the band-edge/UV emission decreases, whereas, the visible emission is found to increase with increase of the doping concentration. The decrease in the band-edge emission can be attributed to the substitution of Zn2+ by Cu2+ ions in the ZnO lattice. Beside, these optical properties, magnetic properties of ZnO nanoparticles has also been found to be affected by Cu doping, investigated using vibrating sample magnetometer (VSM). It has been observed from VSM study that the ferromagnetic behaviour of ZnO nanoparticles is found to enhance with increase in doping concentration.

  ZnO nanoparticles; Cu2+ doping; Photoluminescence; Magnetic properties; M-H loops; Surface defects.  


1.          T. Meron, G. Markovich, J. Phys. Chem. B. 109, 20232 (2005).
2.          S. Liang, H. Sheng, Y. Liu, Z. Huo, Y. Lu, H. Shen, J. Cryst. Growth, 225, 110 (2001)

3.          S.T. Shishiyanu, T.S. Shishiyanu, O.I. Lupan, Sens. Actuators B, 107, 379 (2005)

4.          M.H. Huang, S.Mao, H. Feick, H. Yan, Y.Wu, H. Kind, E.Weber, R. Russo P. Yang, Science, 292,  1897 (2001)

5.          N. Saito, H. Haneda, T. Sekiguchi, N. Ohashi, I. Sakaguchi, K. Koumoto, Adv. Mater., 14,  418 (2002)

6.          Yi Ma, C. Ricciuti, T. Miller, J. Kadlowec and H. Pearlman, Energy & Fuels, 22 3695 (2008)

7.          R. Chen, B. Ling, X. W. Sun, H. D. Sun, Adv. Mater, 23, 2199 (2011)

8.          F. Li, Y. Yuan, J. Luo, Q. Qin, J. Wu, Z. Li, X. Huang, Applied Surface Science, 256, 6076 (2010)

9.          Q. Wang, B. Geng, S. Wang, Environ. Sci. Technol. 43, 8968 (2009)

10.       M. Ungureanu, H. Schmidt, H. V. Wenckstern, H. Hochmuth, M. Lorenz, M. Grundmann, M. Fecioru-Morariu, G. Guntherodt, Thin Solid Films, 515, 8761(2007)

11.       Y. Zhou, S. X. Lu, W. G. Xu, Environmental Progress & Sustainable Energy, 28, 226 (2009)

12.       T, Dietl, H. Ohno, F. Matsukura, J. Cibert and D. Ferrand, Science, 287 1019 (2000)

13.       K. Sato, H. Katayama-Yoshida,  Semi. Sci. Technol, 17, 367 (2002)

14.       Y. Matsumoto, M. Murakami, T. Shono, T. Hasegawa, T. Fukumura, M. Kawasaki, P. Ahmet, T. Chikyow, S. Koshihara and H. Koinuma, Science, 291, 854 (2001)

15.       S. J. Pearton, D. P. Norton, K. Ip, Y. W. Heo and T. Steiner,  J. Vac. Sci. Technol. B 22, 932 (2004)

16.       K. R. Kittilstved, N. S. Norberg and D. R. Gamelin, Phys. Rev. Lett, 94, 147209 (2005)

17.       G. Clavel, M. G. Willinger, D. Zitoun and N. Pinna,  Adv. Funct. Mater. 17, 3159 (2007)

18.       T. Dietl, H. Ohno and F. Matsukura, Phys. Rev. B, 63 195205 (2001)

19.       A. Kaminski, S. Das Sarma, Phys. Rev. Lett, 88, 247202 (2002)

20.       J. M. D. Coey, M. Venkatesan and C. B. Fitzgerald, Nat. Mater. 4, 173 (2005)

21.       K. Ueda, H. Tabata and T. Kawai, Appl. Phys. Lett. 79, 988 (2001)

22.       S. W. Lim, M. C. Jeong, M. H. Ham, J. M. Myoung,  J. Appl. Phys. 43, 280 (2004)

23.       H. Saeki, H. Tabata, T. Kawai, Solid State Commun. 120, 439 (2001)

24.       J. M. D. Coey, M. Venkatesan, C. B. Fitzgerald, Nature Mater. 4 173 (2005)

25.       A. V. Dijken, E. A. Meulenkamp, D. Vanmaekelbergh, A. Meijerink, J. Lumin., 87, 454 (2010)

26.       Shalish, H. Temkin, V. Narayananmurti,  Phys. Rev. B, 69, 245401 (2004)

27.       Y. M. Sun, Ph.D. thesis, University of Science and Technology of China (2000)

28.       U. Koch, A. Fojtik, H. Henglein, Chem. Phys. Lett. 122, 507 (1985)

29.       L. Spanhel, M. A. Anderson, J. Am. Chem. Soc. 113, 2826 (1991)

30.       A. B. Djurisic, W. C. H. Choy, Y. A. L. Roy, Y. H. Leung, C. Y. Kwong, K. W. Cheah, T. K. Gundu Rao, W. K. Chan, H. F. Lui, C. Surya, Adv. Funct. Mater. 14, 856 (2004)

31.       N. S. Noberg, D. R. Gamelin, J. Phys. Chem. B, 109, 20810 (2005)

32.       S. Sakohara, M. Ishida, M. A. Anderson, J. Phys. Chem. B, 102, 10169 (1998)

33.       T.S. Herng, S.P. Lau, S.F. Yu, H.Y. Yang, L. Wang, M. Tanemura, J.S. Chen, Appl. Phys. Lett., 90, 032509 (2007).

34.       Z. Zhang, J. B. Yi, J. Ding, L. M. Wong, H. L. Seng, S. J. Wang, J. G. Tao, G. P. Li, G. Z. Xing, T. C. Sum, C. H. Alfred Huan, T. Wu, J. Phys. Chem. C, 112, 9579 (2008).

35.       O. Lupan, Th. Pauporté, T. Le Bahers, B. Viana, I.Ciofini, Advanced Functional Materials, 21 3564 (2011).

36.       Q. Ma, D.B. Buchholz, R.P.H. Chang, Physical Rev.B, 78, 214429 (2008).

37.       O. Lupan, T. Pauporté, L. Chow, B. Viana, F. Pellé, B. Roldan Cuenya, L.K. Ono, H. Heinrich, Appl. Surf. Science, 256 1895 (2010)

38.       O. Lupan, T. Pauporté, B. Viana, P. Aschehoug, Electrochimica Acta, 56, 10543 (2011)

39.       Z. Y. Huang, P. Luo, M. Chen, S.R. Pan, D.H. Chen, Materials Letters, 65, 2345 (2011)

40.       Y. Zhou, S. X. Lu, W. G. Xu, Environmental Progress & Sustainable Energy, 28, 226 (2009)

41.       T. C. Damen, S.P.S. Porto, B. Tell, Phys. Rev. 142, 570 (1966)

42.       N. Ashkenov, G. Wagner, H. Neumann, B.N. Mbenkum, C. Bundesmann, V. Riede, J.  Appl. Phys. 93 126 (2003)

43.       J. Xing, Z. H. Xi, Z. Q. Xue, X. D. Zhang, J. H. Song, R. M. Wang, Appl. Phys. Lett., 83, 1689 (2003) 

44.       S.H. Jeong, J.K. Kim, B.T. Lee, J. Phys. D: Appl. Phys, 36, 2017 (2003)

45.       M. Scepanovic, M. Grujic-Brojcin, K. Vojisavljevic, S. Bernik, T. Sreckovic, J. Raman Spectrosc, 41, 914 (2010)

46.       R. D. Yang, S. Tripathy, Y. Li, H. J. Sue, Chem. Phy. Lett., 411, 150 (2005)

47.       M. S. Cepanovic, M. Grujic-Brojcin, K. Vojisavljevic, S. Bernik, T. Sreckovic, Journal of Raman Spectroscopy, 41, 914 (2010)

48.       B. Cao, W. Cai, H. Zeng, G. Duan, Journal of Applied Physics, 99, 073516 (2006)

49.       T.C. Damen, S.P.S. Porto, B. Tell, Physical Review, 142, 570 (1966)

50.       B. Yang, A. Kumar, P. Feng, R. S. Katiyar, Applied Physics Letters, 92, 233112 (2008).

51.       M. Subramanian, P. Thakur, S. Gautam, K.H. Chae, M. Tanemura, T. Hihara, J. Phys. D: Appl. Phys. 42 105410 (2009)

52.       M. H. Choi, T. Y. Ma, Mater. Lett. 62 , 1835 (2008)

53.       Z. Sofiani, B. Derkowska, P. Dalasiński, M. Wojdyła, S. Dabos-Seignon, M. A. Lamrani, Opt. Commun. 267, 433 (2006)

54.       D. Li, Y. H. Leung, A. B. Djurisic, Z. T. Liu, M. H. Xei, S. L. Shi, S. J. Xu, W. K. Chan, Appl. Phys. Lett. 85, 1601 (2004)

55.       K. H. Tam, C. K.  O. Cheung, Y. H. Leung, A. B. Djurisic, C. C. Ling, C. D. Beling, S. Fung, W. M. Kwok, W. K. Chan, D. L. Phillips, L. Ding, W. K. Ge, J. Phys. Chem. B 110, 20865 (2006)

56.       S. Sakohara, M. Ishida, M. A. Anderson, J. Phys. Chem. B, 102, 10169 (1998).

57.       R. M. Raghvendra, S. Yadav, A. C. Pandey, S. S. Sanjay, C. Dar, Journal of Luminescence, 130, 365 (2010).

58.       B. Lin, Z. Fu, Appl. Phys. Lett., 79, 943 (2001).

59.       K. Vanheusden, C. H. Seager, W. L. Warren, D. R. Tallant and J. A. Voigt, Appl. Phys. Lett. 68, 15 (1996).

60.       H. Zhou, H. Alves, D. M. Hofmann, W. Kriegseis, B. K. Meyer, G. Kaczmarczyk, A. Hoffmann, Appl. Phys. Lett. 80, 210 (2002).

61.       A.F. Kohan, G. Ceder, D. Morgan, Phys. Rev. B 61, 22 (2000)

62.       L. S. Vlasenko, Physica B, 404, 4774 (2009)

63.       J. Qiu, X. Li, F. Zhuge, X. Gan, X. Gao, W. He, S. J. Park, H. K. Kim, Y. H. Hwang, Nanotechnology, 21, 195602 (2010)

64.       H. M. Xiong, D. G. Shchukin, H. Mohwald, Y. Xu, Y. Y. Xia, Angew. Chem. Int. Ed., 48, 2727 (2009)

65.       M. Haase, H. Weller, A. Henglein, J. Phys. Chem. 92, 482 (1988)

66.       J. Antony, S. Pendyala, D.E. McCready, M.H. Engelhard, D. Meyer, A. Sharma, Y. Qiang, IEEE Trans. Magn. 42, 2697 (2006)
67.      S. Mala, J. Narayana, S. Nori, J. T. Prater, D. Kumar, Solid Stat. Comm. 150, 1660 (2010).




Tiruveedula Gopi Krishna, Mohamed Abdeldaiem Abdelhadi, Sabahaldin A.Hussain

Paper Title:

Towards OLAP - Based Data Mining Using Multidimensional Database and Fuzzy Decision Trees

Abstract:   In this paper, a new approach for data mining is described, coupling fuzzy multi-dimensional databases and fuzzy data mining systems, and achieving knowledge discovery from imperfect data. An architecture based on fuzzy multidimensional databases is given. It uses these kinds of data repositories to extract relevant knowledge from large data sets from the real world. According to several works that highlighted the great interest of the OLAP framework in the knowledge discovery process, this approach enhances the existing solutions. It provides a way to deal with data from the real world, and to apply flexible operations on data sets stored as multidimensional arrays, generating more understandable fuzzy rules. In recent works an extension of multidimensional database has been defined in order to handle imperfect information and flexible multidimensional queries.

    Olap, Fuzzy Rules, Multidimensional Database, Data Mining


1.          R.Agrawal, T.Imielinski, and A.Swami, Mining association rules between sets of items in large databases. In proc.of AGM SIGMOD conf.,
2.          E.F Codd, S.B.Codd, and C.T.salley. providing OLAP to user –analysis: an IT mandate. White thesis, 1993.

3.          B.Bouchon-Meunier, M.Rifqi, and S.Bothorel. Fuzzy sets of Systems, 85: 143-153, 1996.1. Lungu, Ion and Bâra, Adela. Sisteme informatice executive. Bucharest : Editura ASE, 2007.

4.          Velicanu, Manole, et al., et al. Sisteme de baze de date evoluate. Bucharest: Editors ASE, 2009.

5.     Chmelar, Petr and Stryka, Lukas. Iterative, Interactive and Intuitive Analytical Data Mining. [Online] 2009.

6.          Gorunescu, Florin. Data Mining Concepts, Models and Techniques: Springer, 2011.

7.          Ullman, Jeffrey D. Data Mining Lecture Notes. 2009.

8.          Han, Jiawei and Kamber, Micheline. Data mining: concepts and techniques. : Morgan Kaufmann Publishers, 2006.




Agnes Jacob, P. Mythili

Paper Title:

An Improved Hindi Speech Emotion Recognition System

Abstract:   This paper presents the results of investigations in speech emotion recognition in Hindi, using only the first four formants and their bandwidths. This research work was done on female speech data base of nearly 1600 utterances    comprising   neutral, happiness, surprise, anger, sadness, fear and disgust as the elicited emotions. The best of the statistically preprocessed formant and bandwidth features were first identified by the KMeans, K nearest Neighbour and Naive Bayes classification of individual features. This was followed by artificial neural network classification based on the combination of   the best formants and bandwidths. The highest   overall emotion recognition accuracy obtained by the ANN method was 97.14%, based on the first four values of formants and bandwidths. A striking increase in the recognition accuracy was observed when the number of emotion classes was reduced from seven. The obtained results presented in this paper, have not been reported so far for Hindi,   using the proposed spectral features as well as with the adopted preprocessing and classification methods.   

    Formant, Emotion, KMeans, K nearest Neighbour, Naive Bayes, Artificial neural network.


1.          Anik Dey, Ying Li, Pascale Fung, “Using English Acoustic Models for Hindi Automatic Speech Recognition”. Proceedings of the 3rd Workshop on South and Southeast Asian Natural Language Processing (SANLP), pp. 123–134, COLING 2012, Mumbai, December 2012.  Published in Proceedings of the International Conference Speech Database and Assessments (Oriental COCOSDA), 2011.
2.          Anurag Jain, Nupur Prakash, S.S. Agrawal, “Evaluation of MFCC for Emotion Identification in Hindi Speech” IEEE .978-1-61284-486-2/111  ©2011 IEEE.

3.          Shashidhar G. Koolagudi, Ramu Reddy, Jainath Yadav, K. Sreenivasa Rao, “IITKGP-SEHSC: Hindi speech corpus for emotion analysis.” 978-1-4244-9190-2/11/ ©2011 IEEE.

4.          Rahul Chauhan, Jainath Yadav, S. G. Koolagudi, K. Sreenivasa Rao, “Text Independent Emotion Recognition Using Spectral  Features” Communications in Computer and Information Science –Springer, Volume 168, 2011, pp 359-370 Contemporary Computing - 4th International Conference, IC3 2011, Noida, India, August 8-10, 2011. Proceedings.

5.          Yongjin Wang, and Ling Guan, Recognizing Human Emotional State from Audiovisual Signals. IEEE Transactions on   Multimedia, Vol 10, No.5, August 2008. pp.936-946.

6.          Tolkmitt, F. J., Scherer, K. R., Effect of experimentally induced stress on vocal parameters. Journal of Experimental Psychology: Human Perception and Performance 12 (3), 302–313. 1986.

7.          France, D. J., Shiavi, R. G., Silverman, S., Silverman, M., Wilkes, Acoustical properties of speech as indicators of depression and suicidal risk. IEEE Trans.Biomedical Engineering 7, 829–837, 2000.

8.          Agnes Jacob, Dr. P. Mythili, “Development and Evaluation of Emotional Speech Databases in the Indian Context.” Proceedings of the International conference on Intelligent Systems and Control, 4 pages, B3 -09,   ISCO 2010, February 2010, Coimbatore.

9.          Yegnanarayana and S. P. Inshore, “An ANN an alternative to GMM for pattern recognition,” Neural Networks, vol. 15, pp. 459– 469,    April    2002.

10.       Jana Tuckova, Martin Sramka, Emotional Speech Analysis using Artificial Neural Networks     Proceedings of   the International Multiconference on Computer Science and Information Technology pp. 141–147 ISBN 978-83-60810-27-9 2010 IEEE .

11.       Shashidhar G. Koolagudi, K. Sreenivasa Rao, “Emotion recognition from speech: a review”.  International Journal of Speech Technology, vol 15, pp. 99–117, 2012. DOI 10.1007/s10772-011-9125-1.

12.       Björn Schuller, Dejan Arsi, and Frank Wallhoff, Manfred Lang, and Gerhard Rigoll, Bioanalog  acoustic emotion recognition by genetic feature generation based on low-level-descriptors. EUROCON 2005,Serbia and Montenegro, Belgrad, November 22-24,2005.1-4244-0049-   X/05 IEEE pp. 1292-1295.

13.      Rahul. B. Lanjewar, D. S. Chaudhari, Speech Emotion Recognition: A Review International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-2, Issue-4, March 201368.




B. Rajneesh Kumar, S. Ranganatha

Paper Title:

A Study of Stiffness and Damping Characteristics of Conventional Fluid and Smart Fluid Applied to Squeeze Film Damper

Abstract:   Turbo machinery and other high speed engines play a vital role in industries worldwide. These high speed engines received considerable attention from the scientific and industrial community in order to extract better performance and higher reliability. Due to competitiveness and rapid technological advancement, the dynamic behavior of these machines is greatly dependent on the fluid film bearings. These fluid film bearings are used for its long life, low power consumption and versatile dynamic behavior. Despite of significant advancement in lubrication technology and advent of meticulous design procedures, bearings do fail in operation. Accordingly tribologists and practicing lubrication experts around the world are nowadays involved in design of general bearing system using entirely a design approach based on electrorheological fluids instead of conventional fluids to suit the requirement of high speed and heavy load operation. Smart fluid technology is an emerging field of research that leads to the introduction of Electro-rheological (ER) fluids.ER fluids are such smart materials whose rheological properties (viscosity, yield stress, shear modulus etc.) can be readily controlled upon external electric field which cannot be carried out in case of conventional fluids. This paper presents a comparative study of stiffness and damping characteristics of conventional fluids (damper oil) and electro rheological fluids (functional fluids) of external damper becomes a essential part of analysis. Calculations are carried out for different parameters like clearances, oil film thickness, fluid film width, different eccentric ratios etc. Thus the use of electro-rheological fluids introduces a new philosophy on the fact that the stiffness and damping can be changed by applying high electric field and thus minimizing the vibration of the structure during normal operation. This reduces the amplitude considerable and safe operation for high accuracy and efficiency.

   High speed engines, fluid film bearings, conventional fluids, electro-rheological fluids, stiffness and damping, vibration.


1.           Luis San Andres, Oscar de Santiago, “Forced response of a squeeze film damper and identification of force co-efficient from large orbital motions”, transactions of the ASME, 126, pp. 292.
2.           E.J.Gunter, “Design Of Nonlinear Squeeze Film Dampers For Aircraft Engines”, Journal of Lubrication Technology, 99, Pp.57-64, 1977.

3.           Fulei Chu, Roy Holmes,  “The damping capacity of the squeeze film damper in suppressing vibration of a rotating assembly”, tribology international, 33, pp. 8197, 2000.

4.           Jianjum Li, Dewen Jin, Xiaoning Zhang, Jichuan Zhang, and William.A, Gruver , “An Electrorheological Fluid Film Damper For Robots ”, IEEE international conference on robotics and automation, 33, pp. 2631-2636, 1995.

5.           Jonathan Krimm, Nicholas Szczerba , “Electro Rheological Fluid”, Conference Session B2, Pp. 1-8, April 14,2007.

6.           C. Carmignani., P.Forte, “Active Squeeze Film Dampers In Rotor Dynamics”, AIMETA International Tribology Conference 1, Aquilia, September,20-22, 2000

7.           S. Danaila and L Moraru “On the validity of classical hydrodynamic lubrication theory applied to squeeze film dampers”, 25th IAHR Symposium on Hydraulic Machinery and Systems, pg.1-8, 2010.

8.           Lucien Johnston, Dorothea Adams, Fluidicon GmbH, Darmstadt,” Adaptive Components in Transport Technologies – new”, Adaptronic Congress 2007, 23 - 24 May, Göttingen

9.           Zamm.Z, angew, Butz.T , Von Stryk, “Modeling And Simulation Of Electro And Magneto Rheological Fluid Dampers”, math. mech 78,pp.1-22,78,1998.

10.        E.Switonski, A.Mezyk, W.Klein, “Application of Smart Materials In Vibration Control Systems”, Journal of AMME, 24, pp .291-296.

11.        JanuszGoldasz, Bogdan Sapinski,” Non dimensional characterization of flow mode magnetorheological/ electrorheological fluid dampers “, journal of intelligent material system and structures September 2012 vol 23 no 14 1545-1562.

12.        J.SharanaBasavaraja, S.C. Jain, Satish. C.Sharma, “A Study of Smart Fluid Lubricated Non-Recessed Hybrid Journal Bearing”, International Conference On Smart Materials Structures And Systems, July 24-26,2008,Bangalore, India

13.       J.A.Tichy “Measurement of squeeze film bearing forces and pressures, including the effects of fluid inertia [ALSE Trans]” page. 520- 526, vol [28] year [1984].




Amanjeet Kaur, Anuj Gupta

Paper Title:

An Analytical Study of the QOS Parameters of Routing of Protocols in a Wireless Sensor Network

Abstract:  Wireless Sensor Network is a field where a lot of protocols are working already for the better optimization of the Wireless Network. The performance analysis is done on the basis of few parameters all together called Quality of service. This paper focuses on the analysis and understanding of the quality of service parameters and a brief description of the GA routing protocols to be used in this extension. This paper also focuses on the brief service review of the genetic algorithm based on the kind of services they can provide.

    Genetic Algorithm, Protocols, Quality of Service, Routing Wireless Senor Network.


1.          Ali Chamam, and Samuel Pierre,”On the    Planning of Wireless Sensor Networks: Energy-Efficient Clustering under the Joint Routing and Coverage Constraint”, IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 8, NO. 8, august 2009.
2.          Jihene Rezgui, Abdelhakim Hafid and Michel Gendreau, “Distribute Admission Control in Mesh Network: Models, Algorithms, and Evaluation”, IEEE transaction on vehicular technology, vol.59, no.3, march 2010

3.          Gordon l.Stuber, Johan Barry,  “Broadband MIMO-OFDM Wireless Communications”.

4.          Ming Jiang, and Lajos Hanzo, “Multiuser MIMO-OFDM for Next-Generation Wireless Systems”, Proceedings of the IEEE | Vol. 95, No. 7, July 2007

5.          Giuseppe Campobello1, Alessandro Leonardi and Sergio Palazzo, “Energy saving and Reliability in Wireless Sensor Networks Using a CRT-based Packet Splitting Algorithm”, in 2002.    

6.          Giuseppe Anastasi, Marco Conti and Mario Di Francesco, “Energy Conservation in Wireless Sensor Networks: a Survey” ,University of Pisa, Italy National Research Council (CNR), Italy.

7.          Dr. Jayakumari.J, “ MIMO-OFDM for 4G Wireless Systems”, International Journal of Engineering Science and Technology  Vol. 2(7), 2010, 2886-2889.

8.          A.Sharmila and Srigitha S.Nath, “ Performance of MIMO Multi -Carrier CDMA with BPSK Modulation in Rayleigh Channel”, International Conference  and control Engineering ( ICCCE 2012),12 & 13 April,2012.

9.          Lizhong Zheng, David N. C. Tse , “Diversity and Multiplexing: A Fundamental Tradeoff in Multiple-Antenna Channels" "IEEE transactions on information theory, vol. 49, no. 5, may 2003"





Paper Title:

An Analytical Review on the Techniques Opted ForThe Detection of Cloning In Spread Sheets

Abstract:   Spreadsheets are widely used in industry: it is estimated that end-user programmers outnumber programmers by a facto . However, spreadsheets are error-prone, numerous companies have lost money because of spreadsheet errors. One of the causes for spreadsheet problems is the prevalence of copy-pasting. This paper focuses on the methods of identifying data clone in spread sheets and their efficiency. The paper also presents suitable algorithms for data cloning in the data mining region.

    Data Clone, Data Mining , Fatal Errors, Spread Sheets.


1.          H. A. Basit, D. C. Rajapakse, and S. Jarzabek. Beyond templates: a study of clones in the STL and some general implications. In Proc. of the Int'l Conf. on Software Engineering, pages 451{459, 2005.
I.           D. Baxter, A. Yahin, L. M. de Moura, M. Sant'Anna, and L. Bier. Clone detection using abstract syntax trees. In Proc. of the Int'l Conf. on Software Maintenance, pages 368{377, 1998.

2.          K. Beck. extreme Programming explained, embrace change. Addison-Wesley, 2000.

3.          “ Hang Dai and Jingshi He Dongguan 523808”, China  Research Journal of Applied Sciences, Engineering and Technology 6(5): 895-899, 2013 ISSN: 2040-7459; e-ISSN: 2040-7467 2013

4.          T. T. Nguyen, H. A. Nguyen, J. M. Al-Kofahi, N. H. Pham, and  T. N. Nguyen, “Scalable and incremental clone detection for evolving  software,” ICSM’09, 2009.

5.          Ghosh, S., & Reilly, D. L. (1994). Credit card fraud detection with a neural-network, 27th Annual Hawaii International, Conference on System Science 3 (1994) 621–630.

6.          Beasley, M. (1996). An empirical analysis of the relation between board of director composition and financial statement fraud. The Accounting Review, 71(4), 443–466.

7.          J. H. Johnson, “Identifying redundancy in source code using fingerprints,”in Proc. of CASCON ’93, 1993, pp. 171–183.
8.          M. Fisher and G. Rothermel, “The EUSES spreadsheet corpus: a shared resource for supporting experimentation with spreadsheet dependability mechanisms,” ACM SIGSOFT Software Engineering Notes, vol. 30, no. 4, pp. 1–5, 2005.
I.           D. Baxter, A. Yahin, L. M. de Moura, M. Sant’Anna, and L. Bier, “Clone detection using abstract syntax trees,” in Proc. of ICSM ’98, 1998, pp. 368–377.

9.          R. Komondoor and S. Horwitz, “Using slicing to identify duplication in source code,” in Proc. of SAS ’01, 2001, pp. 40–56.




Biswajit Nayak, Mitali Madhusmita, Debendra Kumar Sahu, Rajendra Kumar Behera, Kamalakanta Shaw

Paper Title:

Speaker Dependent Emotion Recognition from Speech

Abstract:   The speech signal is the fastest and the most natural method of communication between humans. Hence speech can use for fast and efficient way of interaction between human and machine. Speech is attractive and effective medium due to its several features expressing attitude and emotions through speech is possible. In human machine interaction automatic speech emotion recognition is so far challenging but important task which paid close attention in current research area. In this paper we have analysed emotion recognition performance on eight different speakers. IITKGP-SEHSC emotional speech database used for emotions recognition. The emotions used in this study are anger, fear, happy, neutral, sarcastic, and surprise. The classifications were carried out using Gaussian Mixture Model (GMM). Mel Frequency Cepstral Coefficients (MFCCs) features are used for identifying the emotions. It can be observed that, the percentage of accuracy is 75.00% for 32 centered GMM, 72.00% for 16 centered GMM and 66.67% for 8 centered GMM.

    Emotion Recognition, Gaussian Mixture Model (GMM), Male-scale Frequency Cepstral Coefficient (MFCC), IITKGP-SEHSC (Indian Institute of Technology Kharagpur Simulated Hindi Emotional Speech Corpus).


1.          Shashidhar G. Koolagudi, K. Sreenivasa Rao ,” Emotion Recognition from Speech using Source,System, and Prosodic Features” , November 2011.
2.          D. Ververidis and C. Kotropoulos, “Emotional speech recognition: Resources,features, and methods,” SPC, vol. 48, p. 11621181, 2006.

3.          S. Koolagudi, R. Reddy, J. Yadav, and K. Sreenivasa Rao, “IITKGP-SEHSC : Hindi speech corpus for emotion analysis,” in International Conference on Devices and Communications (ICDeCom), pp. 1 –5, Feb. 2011.

4.          S. G. Koolagudi, S. Maity, V. A. Kumar, S. Chakrabarti, and K. Sreenivasa. Rao, “IITKGP-SESC: Speech database for emotion analysis,” Springer-Verlag Berlin Heidelberg, vol. 40, pp. 485–492, 2009.

5.          L. R. Rabiner and B. H. Juang, “Fundamentals of Speech Recognition”. Englewood Cliffs,New Jersy: Prentice-Hall, 1993.

6.          Douglas Reynolds, “Gaussian Mixture Models”, MIT Lincoln Laboratory, 244  St Wood, .  Emotion Recognition Using Support Vector Regression” 10th International Society for Mus ic Information Retrieval Conference (ISMIR 2009).

7.          Xianglin Cheng, Qiong Duan,” Speech Emotion Recognition Using Gaussian Mixture Model”, The 2nd International Conference on Computer Application and System Modeling (2012).

8.          Bhoomika Panda, Debananda Padh, Kshamamayee Dash, Prof. Sanghamitra Mohanty “Use of SVM Classifier & MFCC in Speech Emotion Recognition System” ,IJARCSSE-Volume 2,Issue-3,M.arch-2012,ISSN:2277128X..

9.          Jesus Olivares-Mercado, Gualberto Aguilar, Karina Toscano-Medina, Mariko Nakano and Hector Perez Meana , “GMM vs SVM for Face Recognition and Face verification”,(2011) Reviews, Refinements and New Ideas in Face Recognition, Dr. Peter Corcoran (Ed.), ISBN: 978-953-307-368-2.

10.       Nitin Thapliyal, Gargi Amoli,” Speech based Emotion Recognition with Gaussian Mixture Model”, International Journal of Advanced Research in Computer Engineering & Technology, July2012.




Renuga Devi. R, Hemalatha. M

Paper Title:

A Novel Algorithm for Automatically Detecting Number of Clusters for Mining Communities in Heterogeneous Social Networks

Abstract:   Social media have attracted millions of user’s attention in recent years. In a distributed social network a community mining is one of the major research areas. Mining of network communities is a major problem now a day. This problem should be avoided. Several methods were proposed, but most of the methods of community mining consider the homogeneous network. But in distributed network there are multiple networks are interconnected with each other which are known as heterogeneous networks. Each network represents a specific kind of relationship. Same time each relationship plays an important place in a distinct situation. Mining of such an important community in a distributed environment is a difficult task. To overcome the above mentioned problem, this paper presents a novel Convergence aware Dirichlet Process Mixture Model (CADPM) for automatically mining the network communities in heterogeneous networks. The earlier Dirichlet Process (DP) mixture model is unsuitable in some situation. The number of clusters for community mining is unknown in prior. So the CADPM is proposed to handle the large number of data-cases.

    Community, Dirichlet Process, Heterogeneous Network, Hidden Communities, Social Network.


1.          Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan and Jiawei Han. 2005. Mining Hidden Community in Heterogeneous Social Networks. Proceedings of the 3rd international workshop on Link discovery. Pages: 58 – 65.
2.          Tianbing Xu,  Zhongfei (Mark) Zhang, Philip S. Yu and Bo Long. 2008. Dirichlet Process Based Evolutionary Clustering. Eighth IEEE International Conference on Data Mining, ICDM '08. Pages: 648 – 657.

3.          Jianwen Zhang, Yangqiu Song, Changshui Zhang and Shixia Liu. 2010. Evolutionary Hierarchical Dirichlet Processes for Multiple Correlated Time-varying Corpora. Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining. Pages 1079-1088.

4.          M. E. J. Newman and M. Girvan. 2004. Finding and evaluating community structure in networks. Physical Review E, 69(2).

5.          M. E. J. 2006 Newman. Finding community structure in networks using the eigenvectors of matrices. Physical Review E, 74:036104.

6.          J. Shi and J. Malik. 1997. Normalized cuts and image segmentation. In CVPR'97, page 731, Washington, DC, USA. IEEE Computer Society.

7.          U. von Luxburg. 2006. A tutorial on spectral clustering. Technical report, Max Planck Institute for Biological Cybernetics.

8.          S. White and P. Smyth. 2005. A spectral clustering approach to ¯nding communities in graph. In SDM '05.

9.          T. A. B. Snijders. 2002. Markov chain monte carlo estimation of exponential random graph models. Journal of Social Structure.

10.       P. D. Ho, A. E. Raftery, and M. S. Handcock, 2001. Latent space approaches to social network analysis. Journal of The American Statistical Association, 97, Pages: 1090-1098.

11.       M. S. Handcock, A. E. Raftery, and J. M. Tantrum. 2007. Model-based clustering for social networks. Journal Of The Royal Statistical Society Series A, 170(2), Pages: 301-354.

12.       E. M. Airoldi, D. M. Blei, S. E. Fienberg, and E. P. Xing. 2008.  Mixed membership stochastic blockmodels. J. Mach. Learn. Res., 9, Pages: 1981-2014,

13.       H. Zha, X. He, C. Ding, H. Simon, and M. Gu. 2001. Bipartite graph partitioning and data  Clustering. In CIKM '01, pages 25{32, New York, NY, USA, ACM.

I.           S. Dhillon. 2001. Co-clustering documents and words using bipartite spectral graph partitioning. In KDD '01, pages 269{274, New York, NY, USA, ACM.

14.       Y. Sun, J. Han, P. Zhao, Z. Yin, H. Cheng, and T. Wu. Rankclus, 2009. Integrating clustering with ranking for heterogeneous information network analysis. In EDBT '09, Pages:565 - 576, New York, NY, USA, ACM.

15.       Y. Sun, Y. Yu, and J. Han. 2009. Ranking-based clustering of heterogeneous information networks with star network schema. In KDD '09, Pages: 797-806, New York, NY, USA, ACM.

16.       L. Tang, H. Liu, J. Zhang, and Z. Nazeri. 2008. Community evolution in dynamic multi-mode networks. In KDD '08, Pages 677-685, New York, NY, USA, ACM.

17.       T. Xu, Z. M. Zhang, P. S. Yu, and B. Long. 2008. Dirichlet process based evolutionary clustering. In ICDM '08, pages 648-657, Washington, DC, USA, IEEE Computer Society.

18.       T. Xu, Z. M. Zhang, P. S. Yu, and B. Long. 2008. Evolutionary clustering by hierarchical Dirichlet process with hidden markov state. In ICDM '08, Pages 658-667, Washington, DC, USA, IEEE Computer Society.

19.       Yizhou Sun, Jie Tang, Jiawei Han, Manish Gupta, and Bo Zhao. 2010. Community Evolution Detection in Dynamic Heterogeneous Information Networks.  Proceedings of the Eighth Workshop on Mining and Learning with Graphs. Pages 137-146.

20.       R. Kumar, P. Raghavan, S. Rajagopalan, and A. Tomkins. 1999. Trawling the web for emerging cyber communities. In Proceedings of The 8th International World Wide Web Conference.

21.       G. W. Flake, S. Lawrence, and C. L. Giles. 2000. Efficient identification of web communities. In Proceedings of the 6th International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD-2000).

22.       J. Kleinberg. 1999. Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5), Pages: 604–622.

23.       D. Gibson, J. Kleinberg, and P. Raghavan. 1998. Inferring web communities from link topology. In Proceedings of the 9th ACM Conference on Hypertext and Hypermedia.

24.       J. M. Kleinberg. 1999. Hubs, authorities, and communities. ACM Computing Surveys, 31(4).

25.       C. Chen and L. Carr. Trailblazing the literature of hypertext: Author co-citation analysis (1989-1998). 1999. In Proceedings of the 10th ACM Conference on Hypertext and hypermedia.

26.       D. Cohn and H. Chang. 2000. Learning to probabilistically identify authoritative documents. In Proceedings of the 17th International Conference on Machine Learning.

27.       W.-J. Zhou, J.-R. Wen, W.-Y. Ma, and H.-J. Zhang. 2002. A concentric-circle model for community mining. Technical report, Microsoft Research.

28.       M. F. Schwartz and D. C. M. Wood. 1993. Discovering shared interests using graph analysis. Communications of the ACM, 36(8), Pages: 78–89.

29.       H. Kautz, B. Selman, and M. Shah. 1997. Referral web: Combining social networks and collaborative filtering. Communications of the ACM, 40(3), Pages: 63–65.

30.       L. A. Adamic and E. Adar. 2002. Friends and neighbors on the web. Technical report, Xerox Parc.

31.       R. Agrawal, S. Rajagopalan, R. Srikant, and Y. Xu. 2003. Mining newsgroups using networks arising from social behavior. In Proceedings of 12th International World Wide Web Conference.

32.       L. Page, S. Brin, R. Motwani, and T. Winograd. 1998. The pagerank citation ranking: Bringing order to the web. Technical report, Stanford University.




Jingqing Zhang, Rui Hu, Jian Wang, Jinshan Li

Paper Title:

Secondary M6C Precipitation in Ni-20Cr-18W-1Mo Superalloy

Abstract:   The carbide precipitation behavior in Ni-20Cr-18W-1Mo superalloy solution treated at 1280 oC and then aged at 800 and 1000 oC has been investigated using SEM, EDS and TEM in the present work. Since the content of W and Mo is high enough (>6-8 wt.%) and the value of proportion (Cr at.% /(Cr+Mo+0.7W) at.% ) is 0.8206, satisfying the condition for the formation of secondary M6C, it is granular and W-rich M6C as secondary phase instead of lamellar and Cr-rich M23C6 that precipitates at grain boundaries when the aging temperature is not lower than 1000 oC. The precipitation of secondary M6C is suggested through a direct reaction between the metal elements and carbon atoms mechanism, in which the decomposition of primary M6C carbide provides the necessary elements. M is mainly W element with modest level of Ni, Cr and Mo. The result provides a foundation for improving the mechanical property of the alloy. 

Keywords:    Ni-20Cr-18W-1Mo superalloy, carbide, secondary M6C, grain boundary


1.          L. J. Wang, L. Y. Sheng and C. M. Hong: ‘Influence of grain boundary carbides on mechanical properties of high nitrogen austenitic stainless steel’, Mater. Design, 2012, 37, (0), 349-355.
2.          S. X. Liang, M. Z. Ma, R.Jing, C. L. Liu and R.P.Liu: ‘Structural evolution and mechanical properties of Zr-45Ti-5Al-3V alloy by heat treatments’, Mat. Sci. Eng. A, 2012, 541, (0), 67-72.

3.          M. Akbari-Garakani and M. Mehdizadeh: ‘Effect of long-term service exposure on microstructure and mechanical properties of Alloy 617’, Mater. Design, 2011, 32, (5), 2695-2700.

4.          A. R. P. Singh, S. Nag, J. Y. Hwang, G.B.Viswanathan, J.Tiley, R.Srinivasan, H.L.Fraser and R.Banerjee: ‘Influence of cooling rate on the development of multiple generations of γ′ precipitates in a commercial nickel base superalloy’, Mater. Charact., 2011, 62, (9), 878-886.

5.          R. Hu, G. Bai, J. S. Li, J. Q. Zhang, T. B. Zhang and H. Z. Fu: ‘Precipitation behavior of grain boundary M23C6 and its effect on tensile properties of Ni-Cr-W based superalloy’, Mat. Sci. Eng. A, 2012, 548, (0), 83-88.

6.          G. Bai, J. S. Li, R. Hu, Z. W. Tang, X. Y. Xu and H. Z. Fu: ‘Effect of temperature on tensile behavior of Ni-Cr-W based superalloy’, Mat. Sci. Eng. A, 2011, 528, (4-5), 1974-1978.

7.          H. Sahlaoui, H. Sidhom and J. Philibert: ‘Prediction of chromium depleted-zone evolution during aging of Ni-Cr-Fe alloys’, Acta Mate. 2001, 50, 1383-1392.

8.          M. Casales, V. M. Salinas-Bravo, A. Martinez-Villafañe and J.G.Gonzalez-Rodriguez: ‘Effect of heat treatment on the stress corrosion cracking of alloy 690’, Mat. Sci. Eng. A, 2002, 332, (1-2), 223-230.

9.          H. Sahlaoui, K. Makhlouf, H. Sidhom and J. Philibert: ‘Effects of ageing conditions on the precipitates evolution, chromium depletion and intergranular corrosion
susceptibility of AISI 316L: experimental and modeling results’: Mat. Sci. Eng. A, 372, (1-2), 98-108.

10.       K. N. Tu and D. Turnbull: ‘Morphology of cellular precipitation of tin from lead-tin bicrystals’, Acta Metall., 1967, 15, (2), 369-376.

11.       W. H. JIANG, X. D. YAO, H. R. Guan: ‘Secondary Carbide Precipitation in a Directionally Solidified Cobalt-Base Superalloy’, Metall. Mater. Trans. A, 1998, 30, A, 513-520.

12.       Q. WU, H. SONG, R. W. Swindeman, J. P. Shingledeck ER and V. K. Vasudevan: ‘Microstructure of Long-Term Aged IN617 Ni-Base Superalloy’, Metall. Mater. Trans. A, 2008, 39, A, 2008-2569.

13.       S. Hirth and G. Gottstein: ‘Misorientation effects on discontinuous precipitation in Al-Ag-Ga’, Acta Mate., 1998, 46, (11), 3975-3984.

14.       D. B.Williams and J. W. Edington: ‘The discontinuous precipitation reaction in dilute Al-Li alloys’, Acta Metall, 1976, 24, (4), 323-332.

15.       K. Tu and D. Turnbull: ‘Morphology and kinetics of cellular dissolution of the Pb-Sn alloy’, Metall. Mater. Trans. B, 1971, 2, (9), 2509-2515.

16.       T. Angeliu and G. Was: ‘Behavior of grain boundary chemistry and precipitates upon thermal treatment of controlled purity alloy 690’, Metall. Mater. Trans. A,
1990, 21, (8), 2097-2107.

17.       Sudin Chatterjeea and A. K. Roya: ‘Mechanism of creep deformation of Alloy 230 based on microstructural analyses’, Mat. Sci. Eng. A, 2010, 527, 7893-7900.

18.       K. Kaneko, T. Fukunaga, K. Yamada, N. Nakada, M. Kikuchi, Z. Saghi, J. S. Barnard and P. A. Midgley: ‘Formation of M23C6-type precipitates and chromium-depleted zones in austenite stainless steel’, Scripta Mater., 2011, 65, (6), 509-512.

19.       Y. L. Cai and Y. R. Zheng: ‘Color Metallographic Investigation of Superalloys’, 1st edn., 149-150, 1986, Beijing National Defense Industry Press.

20.       G. Bai, J. S. Li, R. Hu, T. B. Zhang, H. C. Kou and H. Z. Fu: ‘Effect of thermal exposure on the stability of carbides in Ni-Cr-W based superalloy’, Mat. Sci. Eng. A, 2011, 528, (6), 2339-2344.

21.       G. Bai, R. Hu, J. S. Li, H. Zhong, H. C. Kou and H. Z. Fu: ‘Study on the precipitation behavior of secondary M23C6 in Ni-Cr-W superalloy’, Rare. Metal. Mat. Eng., 2009, 38, 169-172. (In Chinese)

22.       George F.Vander Voort: ‘ ASM Metals handbook Volume 9 - Metallography and Microstructures’, 1st edn, 2004, ASM International.

23.       C. T. Sims, N. S. Stoloff and W. C. Hagel: ‘The Superalloys’, 116-145, 1972, New York Wiley.

24.       F. M. Yang, X. F. Sun, W. Zhang, Y. P. Kang, H. R. Guan and Z. Q. Hu: ‘Secondary M6C precipitation in K40S cobalt-base alloy’, Mater. Lett., 2001, 49, (3-4), 160-164.

25.       M. Enomoto and N. Nojiri: ‘Influence of interfacial curvature on the growth and dissolution kinetics of a spherical precipitate’, Scripta Mater., 1997, 36, (6), 625-632.

26.       Y. J. Li, Q. C. Jiang, Y. G. Zhao, Z. M. He and X. Y. Zhong: ‘Study on the kinetics of spheroidization of eutectic carbide in modification M2 high speed steel’, Acta Metall. Sin. 1999, 2, (35), 207-210.(in Chinese)




Yahia Raad Abbas Alani, V.C. Agarwal

Paper Title:

Nonlinear Finite Element Study on the Circular Concrete Filled Steel Tubular Columns

Abstract:   The present study is an attempt to understand the behavior of this type of columns . In this research modeling of 11 circular cross-section model of the columns , these models are taken from pre - publication research , the models been simulated nonlinearly by the finite element method , with the help of the ANSYS software. models has been loaded in a concentric axial compression way, the failure loads were extracted , and has been compared to the results obtained from the experimental data.  It been found from the nonlinear modeling by ANSYS program a significant influence of the proportion of the D/t on the axial load capacity of the concrete filled steel tubular , where concluded that the axial load capacity of the columns Increases significantly when lowering the value of the of D/t under the value 47 , but when  increasing the value of the D/t over 47 the axial load capacity of the columns increases in small rates. All the specimens been simulated had the length to diameter ratio (L/D) not exceeding the value of 4.5 to act as a short column, and , therefore, no slenderness effect would be taken in account .

    Concrete-filled steel tubesComposite columns,  Nonlinear analysis , Strength , finite element analysis , ANSYS software.


1.          ACI-318. Building code requirements for reinforced concrete. Detroit (MI): ACI; 2002.
2.          O'Shea MD, Bridge RQ. Design of circular thin-walled concrete filled steel tubes. Journal of Structural Engineering, ASCE 2000;126(11):1295_303.

3.          Shams M, Saadeghvaziri MA. State of the art of concrete-filled steel tubular columns. ACI Struct J 1997;94(5):558–71 .

4.          Hsuan-Teh Hu, Chiung-Shiann Huang ,  Ming-Hsien Wu , and Yih-Min Wu (2003) "Nonlinear Analysis of Axially Loaded Concrete-Filled Tube Columns with Confinement Effect" Journal of Structural Engineering, Vol. 129, No. 10, October 1, 2003.

5.          Standards Australia, Australian Standard, AS3600-2009 Concrete Structures, Sydney, 2009.

6.          BRITISH STANDARDS ASSOCIATION (1979). "BS5400 Steel Concrete and Composite Bridges : Part 5 Code of Practice for the Design of Composite Bridges." British Standards Association .

7.          CAMPBELL, I. CLARK, W. and WEBB, J. (1991) "Axial Load Capacity of Composite Steel Tube and Concrete Columns." Proc. of an International Conference on Concrete Engineering and Technology, Kuala Lumpur, Malaysia, 8-1  October .

8.          SEN, H.K. (1970). "Concrete Filled Tubular Steel Columns." Tubular Structures, No. 17, November.

9.          SETUNGE, S. ATTARD, M.M. and DARVALL, P. (1992). "Stress-Strain Relationship of Very High Strength Concrete." Civil Engineering Report No. 2/1992, Monash University.




Junaid Kameran Ahmed, V.C. Agarwal, P.Pal, Vikas Srivastav

Paper Title:

Static and Dynamic Analysis of Composite Laminated Plate

Abstract:   This work presents a static and dynamic analysis of Graphite /Epoxy composite plates. In the present work the behavior of laminated composite plates under transverse loading using an eight-node diso-parametric quadratic element based on First Order Shear Deformation Theory was studied, the element has six degrees of freedom at each node: translations in the nodal x, y, and z directions and rotations about the nodal x, y, and z axes . The static analysis includes the parametric studies on laminated plates to estimate the maximum deflection. The parametric study represented by variation in (aspect ratio, layer orientation, layer number, dimension of the plate and mesh size). The modeling of the plates was done by using ANSYS 12.0, and the results were compared with Finite Element Method code.The dynamic part of this study represented by evaluating the natural frequency of the plates. The boundary conditions considered in static and dynamic study, are simply supported and clamped boundary condition. In this study investigations were carried out on both square and rectangular composite laminated plates. The study start with isotropic plate of mild steel, and followed with orthotropic plate of Graphite/Epoxy composite .The results obtained from ANSYS program as well as Finite Element Method code, show a good agreement with the experimental results. The minimum deflection was found at an angle of 15 degree for clamped plate, and in case of simply supported plate the minimum deflection was found for angle 45 degree. It is also observed that the deflection for clamped boundary condition is less than in simply supported boundary condition for both isotropic and orthotropic plates. In isotropic plate the deflection in clamped plate is about 50% of simply supported. And for orthotropic plate the deflection for clamped is about (25 to 30)% of simply supported.

    Composite (Graphite/Epoxy) laminated plate, rectangular and square plate, Isotropic plate, Orthotropic plate, Free vibration (Natural frequency).


1.          Bhar, S.S. Phoenix, S.K. Satsangi(2010). Finite element analysis of laminated composite stiffened plates using FSDT and HSDT: A comparative perspective. Composite Structures 92 pp. 312–321
2.          A H Sheikh , S. Haldar and D. Sengupta,(2002). A high precision shear deformable element for the analysis of laminated composite plates of different shapes. Composite Structures 55 pp.329–336

3.          J. Suresh Kumar, T. Dharma Raju and K. Vijaya Kumar (Aug 2011).Reddy- Vibration analysis of composite laminated plates using higher-order shear deformation theory with zig-zag function - Indian Journal of Science and Technology Vol. 4 No. 8 .

4.          W.S. Jian, N. Akihiro, K. Hiroshi, (2004). Vibration analysis of fully clamped arbitrary laminated plate, Composite Structures 63, 115–122.

5.          Y.X. Zhang, C.H. Yang,(2009). Recent developments in finite element analysis for laminated composite plates. Composite Structures 88 pp. 147-157.




P.V. Hareesh Kumar

Paper Title:

The Sound Channel Characteristics in the South Central Bay of Bengal

Abstract:   Environmental data collected along 92.5oE between 2.7oN and 12.77oN during late winter show a permanent sound velocity maximum around 75 m and an intermediate minimum between 1350 m and 1750 m. The axis of the deep sound channel is noticed around 1700 m. The shallower axial depth (~1350 m) between 7.5oN and 10.5oN coincides with the cyclonic eddy. Within the sonic layer (SLD), Eastern Dilute Water of Indo-Pacific origin and Bay of Bengal Watermass are present whereas its bottom coincides with the Arabian Sea Watermass. Sound speed gradient shows good relationship with temperature gradient (correlation coefficient of 0.87) than with salinity gradient. A critical frequency of 500 Hz is required for the signal to be transmitted through a channel of 50 m thickness and it increases to ~1 kHz for a layer of 20 m. Within SLD, salinity there is 1.54 m/s increase in sound per 1 psu increase in salinity. In the thermocline, the sound speed decreases by 1.95 m/s per degree drop in temperature, whereas at deeper depths pressure effect dominates (@ 1.4 m/s per 100 m depth).

Keywords: Bay of Bengal, Sonic Layer Depth, SOFAR Channel, Critical frequency, Watermass.   


1.        S. Prasannakumar, T. V.R. Murty, Y.K. Somayajulu, P.V. Chodankar, and C.S. Murty, “Reference Sound Speed Profile and Related Ray Acoustics of Bay of Bengal for Tomographic Studies”, Acta Acustica, 80, 127-137, 1994.
2.        S. Prasannakumar, Y.K. Somayajulu, and T.V.R Murty, “Acoustic propagation characteristics and tomography studies of the northern Indian Ocean (In: Acoustic remote sensing applications”, edited by Singal SP, Narosa), New Delhi, 551-581 pp, 1997.

3.        T.V.R. Murty, Y.K. Somayajulu, and J.S. Sastry, “Computations of some acoustic ray parameters in the Bay of Bengal”, Indian J. Mar. Sci., 1990a, 19, 235-245, 1990a.

4.        T.V.R. Murty, Y.K. Somayajulu, and Sastry, “Simulation of acoustic propagation along a section in the western Bay of Bengal”, J. Pure Appl. Ultra., 12, 29-33, 1990b.

5.        T.V.R. Murty, M.M.M. Rao, Y. Sadhuram, B. Sridevi, K. Maneesha, S. Sujithkumar, P.L. Prasanna, and K.S.R  Murty, “Objective mapping of observed sub-surface mesoscale cold core eddy in the Bay of Bengal by stochastic inverse technique with tomographically simulated travel times”,  Indian J. Geo. Mar. Sci.,  40, 307-324, 2011.

6.        T.V.S. Udaya Bhaskar, Debadatta Swain and M. Ravichandran, “Sonic Layer Depth Variability in the Arabian Sea”, Int. J. Oceans and Oceanogr., 4, 17-28, 2010.

7.        A.T. Chen and F.J.  Millero, Speed of sound in the sea water at   high pressure. J. Acous. Soc. Amer., 601, 129-135, 1977.

8.        M.J. Varkey, V.S.N. Murty, and A. Suryanarayana, “Physical oceanography of the Bay of Bengal”, (In: Oceanography and Marine Biology: an Annual Review, edited
by A.D. Ansell), R.N. Gibson & M. Barnes, 1-70 pp., 1996.

9.        W.J. Emery and J.  Meincke, “Global water masses: summary and review”, Ocean. Acta, 9, 383-391, 1986.

10.     V.V. Maslennikov “Oceanographic investigations in the Andaman Sea and the northern part of the Bay of Bengal, In: Soviet fisheries investigations in the Indian Ocean”, (edited by A.S. Bogdanov), Programme for Scientific Translation (English Translation), Jerusalem, Israel, pp. 42-51, 1973.

11.     A. Suryanarayana, G.V. Reddy, and T. Pankajakshan, “Watermass structure and current system in the Equatorial western Indian Ocean during August, 1985”, Dt. Hydrogr. Z. 40, H.4. Mitteilungen, 181-190, 1987.

12.     Suryanarayana, V.S.N. Murty, Y.V.B. Sarma, M.T. Babu, D.P. Rao, and J.S.  Sastry, “Hydrographic features of the western Bay of Bengal in the upper 500 m under the influence of NE and SW monsoons”, (In: Oceanography of the Indian Ocean, edited by B.N. Desai), Oxford & IBH Publishing Co. Pvt. Ltd., New Delhi, pp. 595-604, 1992.

13.     D.P. Rao, and V.S.N. Murty, “Circulation and geostrophic transport in the Bay of Bengal”, Physical processes in the Indian Seas (Proc. First Convention, ISPSO, 1990), 79-85, 1992.




V V S Vijaya Krishna, K Sai Krishna

Paper Title:

Design and Verification of High Speed Multiplier

Abstract:   Multiplier is one of the essential element for all digital systems such as digital signal processors, microprocessors etc. In this paper, a new high speed multiplier using booth recoding technique is presented. This algorithm can be implemented by using the radix-8 booth recoding process. The proposed multiplier reduces the partial product array by almost 3/4th the size of the bits. This reduction increases the speed of the multiplier. The proposed method can be extended to any higher radix encodings, as well as to any size square and rectangular multipliers. The proposed multiplier is compared with the standard multiplier and two’s complement multiplier using radix-4 MBE technique, demonstrated the good delay performance. These results show that the proposed multiplier is faster compared to other multipliers. The performance of the proposed multiplier is examined using verilog simulator in XILINX 12.4 version.

    Multiplication, radix-8 booth recoding, partial product array 


1.        M.D. Ercegovac and T. Lang, Digital Arithmetic. Morgan Kaufmann Publishers, 2003.
2.        S.K. Hsu, S.K. Mathew, M.A. Anders, B.R. Zeydel, V.G. Oklobdzija, R.K. Krishnamurthy, and S.Y. Borkar, “A 110GOPS/ W 16-Bit Multiplier and Reconfigurable PLA Loop in 90-nm CMOS,” IEEE J. Solid State Circuits, vol. 41, no. 1, pp. 256-264, Jan. 2006.

3.        H. Kaul, M.A. Anders, S.K. Mathew, S.K. Hsu, A. Agarwal, R.K. Krishnamurthy, and S. Borkar, “A 300 mV 494GOPS/W Reconfigurable Dual-Supply 4-Way SIMD Vector Processing Accelerator in 45 nm CMOS,” IEEE J. Solid State Circuits, vol. 45, no. 1, pp. 95- 101, Jan. 2010.

4.        M.S. Schmookler, M. Putrino, A. Mather, J. Tyler, H.V. Nguyen, C.Roth, M. Sharma, M.N. Pham, and J. Lent, “A Low-Power, High - Speed Implementation of a PowerPC Microprocessor Vector Extension,” Proc. 14th IEEE Symp. Computer Arithmetic, pp. 12-19, 1999.

5.        A.D. Booth, “A signed binary multiplication technique,” Quarterly J. Mechan. Appl. Math., vol. 4,no. 2, pp. 236-240, 1951.

6.        O.L. MacSorley, “High Speed Arithmetic in Binary Computers,” Proc. IRE, vol. 49, pp. 67-91, Jan. 1961.

7.        Fabrizio Lamberti,Nikos Andrikos,Elisardo Antelo,Paolo Montuschi, “Reducing the computation time in (Short Bit-Width) Two’s Complement Multipliers,” IEEE Trans. Computers, vol. 60, no. 2,pp. 148-156, Feb. 2011.

8.        G. Jaya Prada1, N.C. Pant, “Design and Verification of Faster Multiplier,” Proc. IJERA, Vol. 1, Issue 3, pp.683-686.

9.        L. Dadda, “Some Schemes for Parallel Multipliers,” Alta Frequenza, vol. 34, pp. 349-356, May 1965.

10.     C.S. Wallace, “A Suggestion for a Fast Multiplier,” IEEE Trans. Electronic Computers, vol. EC-13, no. 1, pp. 14-17, Feb. 1964.

11.     J.A. Hidalgo, V. Moreno-Vergara, O. Oballe, A. Daza, M.J. Martín-Vázquez, A.Gago, “A Radix-8 Multiplier unit Design for Specific Purpose,” 




M.Tej Kumar, S. Leela Lakshmi

Paper Title:

Design and Implementation of Zigbee Protocol in Wireless Sensor Networks

Abstract:   Recently, there has been a growing demand to incorporate multimedia content delivery over the Wireless Sensor Networks (WSNs). This feature could not only enhance several existing applications in the commercial, industrial, and medical domains, but could also spur an array of new applications. However, the efficient gathering of still images, audio, and video information in WSNs imposes stringent requirements on the throughput and energy consumption. Most wireless communication standards with high or moderate data throughputs do not focus primarily on energy efficiency. The IEEE 802.15.4 WPAN standard provides a widely accepted solution for low-cost and low-power wireless communication, with a potential to cater to many types of application scenarios. To design a wireless interactive data acquisition and control system is a challenging part of any measurement, automation and control system applications. Advancement in technology is very well reflected and supported by changes in measurement and control instrumentation. Data acquisition and control system based on AVR microcontroller (Atmega168) is presented. This makes use of the built in ADC of the microcontroller and thus the resolution is 10 bits i.e. one part in 1024. . The controlling program on an arduino read this input at pre-decided time intervals. The controlling program reads these values and process accordingly. Microcontroller programs are also developed and tested successfully.

    WSNs, Zigbee, Data acquisition, Controlling, 802.15.4


1.        I.F. Akyildiz, Su. Weilian, Y. Sankarasubramaniam, E. Cayirci, A survey on sensor networks, IEEE Communications Magazine 40 (8) (2002) 102–114.
2.        D. Culler, D. Estrin, M. Srivastava, Overview of sensor networks, IEEE Computer 37 (8) (2004) 41–49.

3.        I.A. Essa, Ubiquitous sensing for smart and aware environments, IEEE Personal Communications 7 (5) (2000) 47–49.

4.        E.G¨ urses, O.B. Akan, Multimedia communication in Wireless Sensor Networks, Annals of Telecommunications 60 (7-8) (2005) 799–827.

5.        I.F. Akyildiz, T. Melodia, K.R. Chowdhury, A survey on Wireless Multimedia Sensor Networks, Computer Networks (Elsevier) 51 (4) (2007) 921– 960.

6.        S. Misra, M. Reisslein, G. Xue, A survey on multimedia streaming in wireless sensor networks, IEEE Communications Surveys and Tutorials 10 (3) (2008).

7.        IEEE Standard 802.15.4, Part 15.4: Wireless Medium Access Control and Physical Layer Specification for Low Rate Wireless Personal Area Networks. IEEE Std. 802.15.4, December 2003.

8.        E. Callaway, P. Gorday, L. Hester, J.A. Gutierrez, M. Naeve, B. Heile, V. Bahl, Home networking with IEEE 802.15.4: a developing standard for low-rate wireless personal area networks, IEEE Communications Magazine 40 (8) (2002) 70–77.

9.        J. Zheng, M.J. Lee, Will IEEE 802.15.4 make ubiquitous networking a reality? A discussion on a potential low-power, low bit-rate standard, IEEE Communications Magazine 42 (6) (2004) 140–146.

10.     W. Ye, J. Heidemann, D. Estrin, An energy-efficient MAC protocol for Wireless Sensor Networks, in: Proceedings of the IEEE INFOCOM,




K.Sambashivudu, Md.Javeed, R.Kiran

Paper Title:

Implementation of 2D Non-linear Morphological Image Processing on FPGA Based Architecture

Abstract:   Image processing requires high computational power and the ability to experiment with algorithms. Recently, reconfigurable hardware devices in the form of field programmable gate arrays (FPGAs) have been proposed as a way of obtaining high performance at an economical price. FPGA technology has become a viable target for the implementation of real time algorithms   suited to video    image processing applications. Morphing is a Technique used to transfer from one image to another. However, most morphological tools such MATLAB are not suited for strong real-time constraints. The unique architecture of the FPGA has allowed the technology to be used in many applications encompassing all aspects of video image processing. Among those algorithms, linear  filtering based  on  a  2D  convolution,  and non - linear   2D morphological  filters, represent a basic set of  image operations  for a number of  applications. This paper reports on the design and realization of an FPGA based image processing for implementation of morphological image filtering using a FPGA NexysII, Xilinx Spartan 3E, with educational purposes. The system is connected to a USB port of a personal computer, which in that way form a powerful and low-cost design. The FPGA technologies offer basic digital blocks with flexible interconnections to achieve high speed digital hardware realization.  The  FPGA consists  of  a system  of  logic blocks, such as  look  up  tables,  gates, or flip-flops  and some  amount of memory. The image will be transferred from   PC to FPGA board using UART serial communication/JTAG cable. After performing the required filtering/processing the result will be transferred back to computer. In PC both the results will be validated. A comparison between results obtained from MATLAB simulations and the described FPGA-based implementation is presented.

  Morphology, Image processing algorithms, Field Programmable Gate Array (FPGA), filtering, Simulation.


1.        K.  T.  Gribbon, D. G. Bailey and C.  T.  Johnston,  “Design Patterns for Image Processing Algorithm Development on FPGAs”, TENCON 2005, pp. 1-6, November 21-24, 2005.
2.        A. Castillo, J. Vázquez, J. Ortegón y C. Rodriguez,“Prácticas de laboratorio Para estudiantes de    ingeniería con  FPGA”, IEEE  Latin  America Transactions, Vol. 6, No.2, pp. 130-136,  2008.

3.        Bruce A. Draper,  J.  Ross Beveridge, A.P.  Willem Böhm, Charles Ross, Monica          Chaw      the, “Accelerated Image Processing on FPGAs”, IEEE Transactions on Image Processing, Vol.  12, No. 12. Pp. 1543-1551, 2003.

4.        D.G.  Bariamis, D.K.  Iakovidis, D.E. Maroulis, S. A.  Karkanis, “An FPGA-based Architecture for Real     Time Image Feature Extraction”, Proceedings of  the 17th International Conference on Pattern Recognition, August 23-26, Cambridge,  UK, 2004.

5.        C.T.  Johnston,  K.T.Gribbon,  D.G.Bailey, “Implementing  Image Processing Algorithms on FPGAs”, Eleventh Electronics New Zealand Conference, Palmerston North, New Zealand, 2004

6.        Bob  L.  Sturm  and  Jerry  D.  Gibson,  “Signals and Systems Using MATLAB: An Integrated Suite of Applications   for Exploring and  Teaching  Media Signal      Processing”, 35th ASEE/IEEE Frontiers in Education Conference, pp.  21-25, October 19 – 22, Indianapolis, Indiana, USA, 2005.

7.        Javier Vicente, Begoña García, Ibon Ruiz, Amaia     Méndez, Oscar Lage,“EasySP:  Nueva Aplicacin Para la Enseñanza de Procesado  de  Se al”,IEEE-RITA, Vol. 2,No.1, 2007.

8.        A. Ledda and W. Phillips,“Majority Ordering and the Morphological Pattern Spectrum, Conf. Proc. Advanced  Concepts  for  Intelligent  Vision Systems, Antwerp, Belgium, 356-363, 2005.

9.        Malay Haldar, Anshuman Nayak, Alok Choudhary, Banerjee,A system  for  synthesizing optimized  FPGA hardware from MATLAB”, International Conference  on Computer  Aided Design, pp. 314-319, San Jose,          California, 2001.

10.     Rafael C.  Gonzales, Richard E.  Woods,  Digital Image Processing  using  Mat lab,  Prentice Hall,2002.

11.     Tanvir A. Abbasi,  Mohd  U. Abbasi,“A Proposed FPGA              Based Architecture  for  Sobel Edge Detection Operator”,  J.  of Active and  PassiveElectronic Devices, Vol. 2, pp. 271–277, 2007.

12.     David  Báez-López, David  Báez-Villegas,  RenéAlcántara,            Juan  José Romero,  Tomás Escalante, “A package for            filter design based on MATLAB”, Computer       Applications in Engineering Education, Vol. 9, No. 4,pp.        259-264, 2002.

13.     R.E.  Haralick,  K.  Shanmugam, I.  Dinstein, Textural   Features for  Image Classification,  IEEE Transactions            on  Systems,  Man  and  Cybernetics, Vol. SMC-3, No.6,              Nov 1973

14.     J.L.  Hennesy  &  D.A.  Patterson, Computer Architecture, A Quantitative Approach, Morgan Kaufmann, May 2002

15.     D.E. Maroulis,  D.K.  Iakovidis,  S.A. Karkanis, D.A.Karras, CoLD: a versatile detection  system for  colorectal         lesions in endoscopy  video  frames,Computer       Methods  and Programs  in  Biomedicine, vol 70,  no.             2,pp. 99-186, Elsevier Science, 2003

16.     W.  Luk,  P.  Andreou, A. Derbyshire, F.  Dupont-DeDinechin, J.  Rice, N. Shirazi and D. Siganos,              Field-Programmable Logic: From  FPGAs  to ComputingParadigm,  Springer-Verlag,  Berlin, 1998.

17.     M. Nibouche, A. Bouridane, D. Crookes, O.Nibouche,An  FPGA-based  wavelet transforms coprocessor, in  Proc. IEEE Int. Conf. Image Processing, pp.194-197, vol.3, 2003.

18.     Soohwan Ong and Myung H. Sunwoo, A Morphological Filter  Chip Using a Modified Decoding Function, IEEE  Transactions on circuit and systems-II: Analog and digital  signal processing, vol. 47, no. 9, September 2000.




Cezarina Adina TOFAN

Paper Title:

Quality Management through Computer Simulation

Abstract:   The development of CAD technique (Computer Aided Design) and CAE (Computer Aided Engineering) creates new possibilities for an important integration of reiability from the projection process of stamps and dies.

    Reliability, CAD technique, quality




K. Raja Kumari, S. Leela Lakshmi

Paper Title:

Comparison of Power Consumption in Array Multiplier with and without SVL Circuit

Abstract:   In this paper, we performed the comparative analysis of power consumption of array multiplier circuit implemented with two adder modules and Self Adjustable Voltage level circuit (SVL). The adder modules chosen were 10 transistor- Static Energy Recovery CMOS adder and 8 transistor CMOS (SERF) circuits. At first, the circuit was simulated with adder modules without applying the SVL circuit. And secondly, SVL circuit was incorporated in the adder modules for simulation. In the multiplier architecture chosen, less power consumption was observed being consumed by the SERF adder based multipliers applied with SVL circuit.

    10 Transistor SERF Adder, 8 transistor adder, SVL Circuit.


1.        K. Roy, S. Mukhopadhyay and H. Mahmoodi-Meimand “Leakage Current Mechanisms and    Leakage Reduction techniques in Deep-Submicrometer CMOS Circuits” Proceedings of the IEEE, Vol. 91, No.2, February, 2003.
2.        T. Enomoto, Y. Oka and H. Shikano, “A Slef-Controllable –Voltage –Level (SVL) Circuit for Low-Power, High-Speed CMOS Circuits", IEEE Journal of Solid –State Circuits, Vol. 38,  No. 7, July2003, Pages 1220-1226.

3.        A. Agarwal, S. Mukhopadhyay, A. Raychowdhury, K. Roy “ Leakage Power Analyis And Reduction for Nanoscale Circuits” IEEE Computer Society, Vol. 26, April 2006, pages 68-80.

4.        D. Kudithipudi and E. John, “Implementation of Low Power Digital Multipliers using 10 Transistor Adder Blocks” Journal of Low Power Electronics, Vol. 1 2005, pages 1-11.

5.        R. Shalem, L.K John and E. John, “A Novel Low Power Energy Recovery Full Adder Cell”, Proceedings of the Great Lakes Symposium on VLSI (1999), Pages 380-383.

6.        M. J. Rani and S. Malarkann, “Leakage Power Reduction and Analysis of CMOS sequential Circuits”, International Journal of VLSI design and Communication Systems, Vol. 3, No. 1    February2012.

7.        K. Kim, N. Park, Y. Kim and M. Choi, “Leakage Minimization Technique for Nanoscale CMOS VLSI based on Macro-Cell Modelling”, IEEE Design & Test of Computers, Vol. 24  July 2007 pages 322-330.

8.        F. Fallah and Massoud Pedram “Standby and Active Leakage Current Control and Minimization in CMOS VLSI Circuits”, IEICE Leakage- Review-Journal.

9.        M. Singh, S. Akhase, S. Sharma “ Leakage power reduction techniques of 45nm of Static Random Access Memory ( SRAM) cells”, International Journal of Physical Sciences, vol. 6, December 2011, pages 7341-7353.

10.     J. Deshmukh, K. Khare “Standby leakage Reduction in nanoscale CMOS VLSI circuits”,  Proceedings of the International Conference and workshop on Emerging trends in Technology, 2010 pages 911-914.

11.     J.M Rabaey Y et al., Digital Integrated Circuits, Prentice Hall Publications 2003.

12.     Ratul kr. Baruah “ Design of a low power low voltage CMOS opamp”, International Journal of VLSI design and Communication system, Vol. 1, No. 1 March 2010.

13.     Neha Gupta etl., “Low power low voltage bulk driven balanced OTA”, International Journal of VLSI design and Communication system, Vol. 2, No. 4 December2011.

14.     Y. Sunil Gavaskar Reddy and V.V.G.S Rajendra Prasad “ Power comparision of CMOS and adiabiatic full adder circuits”, International Journal of VLSI design and Communication system, Vol.2, No. 3 September 2011.




Anchal Kaytal, Amanpreet Kaur

Paper Title:

A Quantitative Study of the Automatic Speech Recognition Technique

Abstract:   In the last two decades, few researchers have worked for the development of Automatic Speech Recognition Systems for most of these languages in such a way that development of this technology can reach at par with the research work which has been done and is being done for the different languages in the rest of the world. Punjabi is the 10th most widely spoken language in the world for which no considerable work has been done in this area of automatic speech recognition. Being a member of Indo-Aryan languages family and a language rich in literature, Punjabi language deserves attention in this highly growing field of Automatic speech recognition. The Speech is most prominent & primary mode of Communication among of human being. Today, speech technologies are commercially available for an unlimited but interesting range of tasks. These technologies enable machines to respond correctly and reliably to human voices, and provide useful and valuable services.

    ASR, Punjabi Speech Recognition, Recognition Techniques


1.       Santosh K.Gaikwad, Bharti W.Gawali and Pravin Yannawar, “A Review on Speech Recognition Technique,” International Journal of Computer Applications (0975 – 8887) Volume 10– No.3, November 2010.
2.       M. Chandrasekar, M. Ponnavaikko, “Tamil speech recognition: a complete model”, Electronic Journal «Technical Acoustics» 2008, 20.

3.       W. M. Campbell, D. E. Sturim W. Shen D. A. Reynolds and J. Navratily, “The MIT- LL/IBM Speaker recognition System using High performance reduced Complexity recognition”, MIT Lincoln Laboratory IBM 2006.

4.       Bhupinder Singh, Parminder Singh, “Voice Based user Machine Interface for Punjabi using Hidden Markov Model,” JCST Vol. 2, Issue 3, September 2011 I S S N : 2 2 2 9 - 4 3 3 3 ( P r i n t ) | I S S N : 0 9 7 6 - 8 4 9 1.

5.       N. Mikael, E. Marcus, “Speech Recognition using Hidden Markov Model, Performance evaluation in noisy environment”, Degree of master of science in Electrical Engineering, Department of telecomminications and engineering, Blekinge Institute of Technology, March 2002.

6.       T. Nagarajan and H. A. Murthy, “Subband-Based Group Delay Segmentation of Spontaneous Speech into Syllable-Like Units,” in Eurasip Journal on Applied Signal Processing , Hindawi Publishing Corporation 2004:17, pp. 2614–2625.

7.       A.Hema, and B.Yegnanarayan, “Group delay functions and its applications in speech technology,” in Sadhana, Vol. 36, Part 5, October 2011, pp. 745–782.

8.       Anupriya Sharma, Amanpreet Kaur, “A Survey on Punjabi Speech Segmentation into Syllable-Like Units Using Group Delay”, Volume 3, Issue 6, June 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering.

9.       Wiqas Ghai, Navdeep Singh, “Analysis of Automatic Speech Recognition Systems for Indo-Aryan Languages: Punjabi A Case Study”, International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-2, Issue-1, March 2012.

10.    Chetana Prakash, Suryakanth V. Gangashetty, “Fourier-Bessel Cepstral Coefficients for Robust Speech Recognition”, 978-1-4673-2014 6/12/$31/00, 2012 IEEE.

11.    Eliathamby Ambikairajah ,” Emerging Features for Speaker Recognition”, 1-4244-0983-7/07/$25.00 ©2007 IEEE ICICS 2007.

12.    Dr. Joseph Picone, “FUNDAMETALS OF SPEECH RECOGNITION: A Short Course”, Institute for Signal And Information Processing.

13.    Mohit Dua, R.K.Aggarwal, Virender Kadyan and Shelza Dua, “Punjabi Automatic Speech Recognition Using HTK”, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 1, July 2012 ISSN (Online): 1694-0814.

14.    Richard P. Lippmann, “Speech recognition by machines and humans”, 0167-6393r97r$17.00 q 1997 Elsevier Science B.V. All rights reserved. II S0167-6393_ 97. 00021-6.

15.    Kuo-Hau Wu, Chia-Ping Chen and Bing-Feng Yeh, “Noise-robust speech feature processing with empirical mode decomposition”, EURASIP Journal on Audio, Speech, and Music Processing 2011, 2011:9.

16.    Adam L. Buchsbaum, Raffaele Giancarlo, “Algorithmic Aspects in Speech Recognition: An Introduction”.

17.    M.A.Anusuya, S.K.Katti, “Speech Recognition by Machine: A Review” (IJCSIS) International Journal of Computer Science and Information Security, Vol. 6, No. 3, 2009.




M. Jahnavi, P. S. Indrani, M. J. C. Prasad

Paper Title:

Implementation of Concurrent Online MBIST for RFID Memories using March SS Algorithm

Abstract:   This paper presents the implementation of   online test scheme for RFID memories based on Memory Built in Self Test (MBIST) architecture. This paper also presents the, Symmetric transparent version of March SS algorithm, implementation of Memory BIST. The comparison between the different march algorithms and the advantage of the March SS algorithm over all other is also presented. The solution was implemented using Verilog HDL and was, in turn, verified on Xilinx   ISE   13.2   simulator,   and   synthesized.

    Memory testing, RFID memories, Transponder


1.        Erwing R. Sanchez and Maurizio Rebaudengo “A Novel Access Scheme for Online Test in RFID Memories”.
2.        Sunil kumar chalamacherlab,  Dr. K. Padmapriya, Department of ECE, JNTUACEA, Anantapur, 515002, India “Implementation of Concurrent Online MBIST for RFID Memories” Sunil Kumar Chalamacherlab. ,Int.J.Computer Technology & Applications,Vol 3 (4), 1587-1592.

3.        Said Hamdioui1;2 Ad J. van de Goor2 Mike Rodger “March SS: A Test for All Static Simple RAM Faults” Proceedings of the 2002 IEEE International Workshop on Memory Technology, Design and Testing (MTDT 2002)

4.        MironAbramovici, Melvin a. Breuer, D Arthur Friedman, Digital Systems Testing and Testable Design, ISBN0-7803-1062-4.




Vaishali, Vivek Kumar

Paper Title:

Analysis of Electric Field Strength and Magnetic Field Strength in the Vicinity of Cellular Base Trans-receive Station

Abstract:   Today, for the present world generation cell phone is the essential and necessary handheld device. Within few years, the number of mobile users increases drastically. Due to the increase of the number of mobile users, the number of BTS towers also increases. These towers emit electromagnetic radiation which is highly dependable upon their radiated power. This paper investigates about the amount of electromagnetic field emits by the tower and compare that values with the guidelines and limits that are to be set by International Commission on Non Ionized Radiation Protection (ICNIRP).

    Specific Absorption Rate (SAR), Dosimety, Maximum Permissible Exposure (MPE), Radio Frequency (RF) wave, ICNIRP, Electromagnetic Field (EMF).


1.        Junji Miyakoshi, “Cellular and Molecular Responses to Radio-Frequency Electromagnetic Fields”, Manuscript received January 13, 2012; revised September 24, 2012 and January 31, 2013; accepted February 17, 2013.
2.        Theodore S. Rappaport, “Wireless Communication Principles and Practice”, second edition, Pearson Publication, 2011.

3.        International Commission on Non-Ionizing Radiation Protection, ‘‘Guidelines for limiting exposure to time-varying electric and magnetic fields (1 Hz–100 kHz),’’ Health Phys., vol. 99, pp. 818–836, 2010.

4.        Kenji Shiba, Naoya Higaki, “Analysis of SAR and Current Density in Human Tissue Surrounding an Energy Transmitting Coil for a Wireless Capsule Endoscope”, Proceedings, 20th Int. Zurich Symposium on EMC, Zurich 2009

5.        “GUIDELINES ON LIMITS OF EXPOSURE TO STATIC MAGNETIC FIELDS”, International Commission on Non-Ionizing Radiation Protection, Manuscript accepted 4 December 2008, 2009 Health Physics Society. 

6.        IEEE Std C95.3™-2002 (R2008) (Revision of IEEE Std C95.3-1991), “IEEE Recommended Practice for measurements and Computations of Radio Frequency Electromagnetic Fields With Respect to Human Exposure to such Fields, 100 kHz–300 GHz”, Approved 11 December 2002 Reaffirmed 12 June 2008, IEEE-SA Standards Board.

7.        Sami Ilvonen and Jukka Sarvas, “Magnetic-Field Induced ELF Currents in a Human Body by the Use of a GSM Phone”, IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, VOL. 49, NO. 2, MAY 2007

8.        S. Lang, “Recent Advances in Bio-electromagnetics Research on Mobile Telephony and Health—An Introduction,” IEEE, Progress in Electromagnetics Research Symposium 2006, Cambridge, USA, March 26-29.

9.        IEEE Standard for Safety Levels with Respect to Human Exposure to RF Electromagnetic Fields, 3 kHz to 300 GHz, IEEE Std C95.1-1999.

10.     International Commission on Non-Ionizing Radiation Protection, “Guidelines for limiting exposure to time-varying electric, magnetic, and electromagnetic fields (up to 300 GHz),” Health Phys.,vol. 74, no. 4, pp. 494-522, 1998.




Abdolhamid Sohrabi,AzimRezaei Motlagh, Majid Tavakoli, Amir Rezaei Motlagh

Paper Title:

Current Follower Trans conductance AmplifiersCurrent-Mode Multiplier Circuit

Abstract:   Multiplier-divider circuits is using in digital signal processing base on neural networks and communications (amplifiers with variable gain, modulators, detectors and,…).In this paper, the design of a simple analog current modemultiplier/divider circuit using only two current followertrans conductance amplifiers (CFTAs) is presented. With theselection of the applied input currents, the proposed circuit canperform four-quadrant current multiplication, division andcurrent-controlled current amplification, all from the samecircuit configuration. The circuit is also insensitive to ambienttemperature variations. Additionally, the CFTA non-idealityeffects and the non-ideal gain and parasitic component effects onthe proposed circuit are studied. The performances of therealized circuit are examined by PSPICE simulations.

    Analog signal processing, CFTA,  multiplier, reconfigurable circuits.


1.        C. Popa, Synthesis of Computational Structures for Analog SignalProcessing, New York, USA: Springer-Verlag, 2011.
2.        C. Popa, Superior-Order Curvature-Correction Techniques for VoltageReferences, New York, USA: Springer-Verlag, 2009.

3.        C. Popa, “Computational circuits using bulk-driven MOS devices,” inProc. IEEE EUROCON Conf., May 2009, pp. 246–251.

4.        C. Popa, “Logarithmic curvature-corrected weak inversion CMOS voltage reference with improved performances,” presented at the 11th Int. Workshop on Thermal Investigations on ICs and Systems, Lake Maggiore, Italy, 2005.

5.        C. Popa, “High accuracy CMOS multifunctional structure for analogsignal processing,” in Proc. Int. Semicond. Conf., 2009, pp. 427–430.

6.        C. Popa, “CMOS multifunctional computational structure with improvedperformances,” in Proc. 33th Ed. Annu. Semicond. Conf., vol. 2. 2010, pp. 471–474.

7.        C. Popa, “Multiplier circuit with improved linearity using FGMOStransistors,” in Proc. Int. Symp. ELMAR 2009, pp. 159–162.

8.        C. Sawigun and J. Mahattanakul, “A 1.5V, wide-input range, high bandwidth CMOS four-quadrant analog multiplier,” in Proc. IEEE Int. Symp. Circuits Syst., May 2008, pp. 2318–2321.

9.        C. Popa, “Programmable CMOS active resistor using computationalcircuits,” in Proc. Int. Semicond. Conf., Oct. 2008, pp. 389–392.

10.     C. Popa, “Improved linearity CMOS active resistor based on the mirroring of the ohm law,” in Proc. IEEE 17th Int. Conf. Electron., Circuits, Syst., Dec. 2010, pp. 450–453.

11.     A. Naderi, H. Mojarrad, H. Ghasemzadeh, A. Khoei, and K. Hadidi,“Four-quadrant CMOS analog multiplier based on new current squarer circuit with high-speed,” in Proc. IEEE EUROCON Conf., May 2009, pp. 282–287.

12.     A. Naderi, A. Khoei, and K. Hadidi, “High speed, low power four quadrant CMOS current-mode multiplier,” in Proc. IEEE Int. Conf. Electron., Circuits Syst., Dec. 2007, pp. 1308–1311.

13.     A. M. Manolescu and C. Popa, “A 2.5GHz CMOS mixer with improvedlinearity,” J. Circuits, Syst. Comput., vol. 20, no. 2, pp. 233–242, 2010.

14.     C. Sawigun and W. A. Serdijn, “Ultra-low-power, class-AB, CMOS four quadrant current multiplier,” Electron. Lett., vol. 45, no. 10, pp. 483–484, May 2009.




Jothi K R, Dr. Ebenezer Jeyakumar A

Paper Title:

A Survey on Broadcasting Protocols in VANETs

Abstract:   Vehicular Ad-Hoc Networks [VANET] is one of the fastest emerging technologies for research as there are many issues and challenges to be addressed by the researchers before the technology becomes commercialized. The challenges in VANET are, designing suitable routing protocols appropriate to the traffic model, providing security of the data and emergency messages, avoiding the collision of messages, avoiding flooding of messages, etc. The progress of research in the field of VANET promises to deliver a robust, safety, efficient and intelligent transportation in the future. This paper gives the review of various Rebroadcasting policies in VANETs. The reason for analyzing the broadcasting protocols is that, in most of the emergency situations, there is less time to make a handshake with other nodes in the networks, as the emergency message is to be delivered fast and efficient. Therefore broadcast based routing protocol plays a major role in almost all the safety applications. A detailed understanding of the existing protocol is needed before contributing new protocol for the upcoming research field.

   VANET, Broadcasting, Intelligent Transportation.


1.        M. Sun, W. Feng, T. Lai, K. Yamada, H. Okada, and K. Fujimura, “GPS-Based Message Broadcast for Adaptive Inter-Vehicle Communications,” Proc. 52nd IEEE Vehicular Technology Conf. [VTC ’00], vol. 6, pp. 2685-2692, 2000.
2.        Q. Xu, T. Mak, J. Ko, and R. Sengupta, "Vehicle-to-vehicle safety messaging in DSRC," In Proc. of the 1st ACM Int. Workshop on Vehicular Ad Hoc Networks VANET'04, NY, USA, pp.19-28, 2004.

3.        G. Korkmaz, E. Ekici, F. Özgüner, and U. Özgüner, “Urban multi-hop broadcast protocol for inter-vehicle communication systems,” in Proceedings of the 1st ACM International Workshop on Vehicular Ad hoc Networks, VANET ’04, [New York, NY, USA], pp. 76–85, ACM, 2004.

4.        X. Yang, L. Liu, N.H. Vaidya, and F. Zhao, "A vehicle-to-vehicle communication protocol for cooperative collision warning," In Proc. of the 1st Int. Conf. on Networking and Services MOBIQUITOUS’04, pp.114-123, 2004.

5.        H. Alshaer and E. Horlait, “An optimized adaptive broadcast scheme for inter-vehicle communication,” In Proc. of the 61st Int. IEEE Vehicular Technology Conf. VTC’05, vol.5, pp. 2840–2844, 2005.

6.        U. Lee, J. Lee, J. Park, E. Amir, and M. Gerla, “FleaNet: A Virtual Market Place on Vehicular Networks,” Proc. Third Ann. Int’l Conf. Mobile and Ubiquitous Systems: Networking and Services, pp. 1-8, July 2006.

7.        E. Fasolo, A. Zanella, and M. Zorzi, “An effective broadcast scheme for alert message propagation in vehicular ad hoc networks,” in IEEE International Conference
on Communications, vol. 9, pp. 3960 –3965, June 2006.

8.        M. Li, W. Lou, and K. Zeng, “Oppcast: Opportunistic broadcast of warning messages in vanets with unreliable links,” in IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, pp. 534 –543, Oct. 2009.

9.        N.Wisitpongphan, O. Tonguz, J. Parikh, P. Mudalige, F. Bai, and V. Sadekar, “Broadcast storm mitigation techniques in vehicular ad hoc networks,” IEEE Wireless Communications, vol. 14, pp. 84 –94, Dec. 2007.

10.     O. Tonguz, N. Wisitpongphan, F. Bai, P. Mudalige, and V. Sadekar, “Broadcasting in VANET,” Proc. Mobile Networking for Vehicular Environments, pp. 7-12, May 2007.

11.     Thriveni, B. Ashwini, A. Latha, K. Sandhyashree, G. Prakash, A. Alice, K. Venugopal, and L. Patnaik, “Dual covered broadcast with negative acknowledgements for enhanced reliability in mobile ad hoc networks,” in IEEE Region 10 Conference [TENCON], pp. 1 –6, Nov. 2008.

12.     Ibrahim, M. Weigle, and M. Abuelela, “p-ivg: Probabilistic inter-vehicle geocast for dense vehicular networks,” in 69th IEEE Vehicular Technology Conference [VTC], pp. 1 –5, Apr. 2009.

13.     Laouiti, P. Muhlethaler, and Y. Toor, “Reliable opportunistic broadcast in vanets [rob-van],” in 9th International Conference on Intelligent Transport Systems Telecommunications,[ITST], pp. 382 –387, Oct. 2009.

14.     Nekovee, “Epidemic Algorithms for Reliable and Efficient Information Dissemination in Vehicular Ad Hoc Networks,” IET Intelligent Transportation Systems, vol. 3, no. 2, pp. 104-110, 2009.

15.     R. Meireles, M. Boban, P. Steenkiste, O. Tonguz, and J. Barros, “Experimental study on the impact of vehicular obstructions in vanets,” in IEEE Vehicular Networking Conference [VNC], pp. 338 –345, Dec. 2010.

16.     M. Boban, T. Vinhoza, M. Ferreira, J. Barros, and O. Tonguz, “Impact of vehicles as obstacles in vehicular ad hoc networks,” IEEE Journal on Selected Areas in Communications, vol. 29, pp. 15 –28, January 2011.

17.     F. J. Ros, P. M. Ruiz, and I. Stojmenovic, “Acknowledgment-based broadcast protocol for reliable and efficient data dissemination in vehicular ad hoc networks,” IEEE Transactions on Mobile Computing, vol. 11, pp. 33 –46, Jan. 2012.

18.     IEEE P802.11p, “Amendment 6: wireless access in vehicular environments (WAVE),” October 2010.

19.     IEEE P1609.1, “Trial-use standard for wireless access in vehicular environments (WAVE) - resource manager,” Draft D17, July 2006.

20.     IEEE P1609.2, “Trial-use standard for wireless access in vehicular environments (WAVE) - security services for applications and management messages,” Draft D7, April 2006.

21.     IEEE P1609.3, “Trial-use standard for wireless access in vehicular environments (WAVE) - networking services,” Draft D22, January 2007.

22.     IEEE P1609.4, “Trial-use standard for wireless access in vehicular environments (WAVE) - multi-channel operation,” Draft D08, July 2006.




Milan Motta, Shadab Imam

Paper Title:

Modelling and Flexibility Analysis of Hydro Cracker Unit

Abstract:   Hydro cracking is an extremely versatile catalytic process in which feed stock ranging from Naphtha to Vacuum Residue can be processed in presence of Hydrogen and catalyst to produce almost any desired products lighter than the feed. Primary function of Hydrocracker unit (HCU) is to maximize middle distillate production. First stage feed heater is a twin cell cabin heater with horizontal radiant tubes supported through 3 nos ladder type coil supports. Radiant Coil vibration was observed in tubes some remedial measures pertaining to mechanical aspects were studied and implemented. However, a need of comprehensive study to identify and minimize the coil vibration problem was felt to ensure reliable operation of the heater. In this work, Flexibility analysis of Heater Radiant Coil by modeling applied end conditions and various temperature cases was performed to verify the mechanical design and to understand the probable reasons of coil lifting. Fatigue analysis of the vibrating coil with maximum stress amplitude obtained by Flexibility analysis was performed. The maximum possible slug forces was calculated and dynamic analysis of reactor inlet piping along with heater coils was carried out to check whether slug, if any, has any impact. Maximum tube metal temperature for a definite span of operation was estimated. Purpose of this work is carried to identify the probable reasons of heater radiation tube lifting and vibration and to suggest remedial measures to continue safe operation of the heater. Heater tubes have a life of definite span which is directly related to the operating tube metal temperature. Due to furnace running on high tube metal temperature, rupture design study was also carried out for remaining life assessment of the tube. Based on the flexibility analysis of radiant tubes and maximum tube metal temperature calculation, heater operation could be sustained safely without unit interruption due to heater

    Fired Heater, Hydro Cracking, Tube Lifting, CAESAR Analysis


1.        Bruce, S.; Larock, E.; Jeppson, R. W.; Watters, G. Z. (2000), Hydraulics of Pipeline Systems, CRC Press, ISBN 0-8493-1806-8
2.        Crude unit hydrocracker due at Sohar, Oil and Gas Journal, OGJ editors

3.        Liang chuan peng, “Pipe Stress Engineering”, ASME, ISBN: 9780791802854

4.        Piping system layout, design and structural Analysis NORSOK standard L-002 Edition 3, July 2009

5.        Reza Sadeghbeigi. Fluid Catalytic Cracking Handbook (2nd Ed.). Gulf Publishing, (2000). ISBN 0-88415-289-8.

6.        Roger Fret, “Cracking and hydro cracking of triglycerides for renewable liquid fuels: alternative processes to transesterification “Journal of the Brazilian Chemical Society, ISSN 0103-5053

7.        Sadighi, S., Ahmad, A., Shirvani, M. (2011) Comparison of lumping approaches to predict the product yield in a dual bed VGO hydrocracker. , International Journal of Chemical Reactor Engineering, 9, art. no. A4

8.        Warren C. Young and Richard G. Budynas “Collapse resistance modeling and testing”

9.        Upgrading by Hydro cracking: Selected Areas of R&D Interest at CANMET, Society of Petroleum Engineers, Volume 22, Number 1983




Hoda Ghasemieh, Fatemeh Panahi*, Mohsen Mohseni Saravi, Maryam Daghestani

Paper Title:

The Effect of Clear Cutting on Runoff Height (Case Study: Noshahr, Iran)

Abstract:   Cut and exploitation methods used in forest trees affect hydrologic properties. In this study, clear cutting effects on runoff rate is performed in a 2100 m2  area and a similar plot is selected beside it as a control plot. Then the rate of runoff was measured during two consequent years within different temporal stages. Mann-Whitney tests were used for the comparison of two groups which was significant and non-significant in the first and second years, respectively. The results of correlation test also showed that the height of runoff in cut plot is higher than the control plot. In the second year, the rate of runoff in cut plot became closer to the rate in control plot because of herbal plants growth so the results were not significant while in the first year, the rate of runoff increased because of  plant cover remove.

    Runoff, Clear cutting, Curve Number, Asympthotic method


1.       Basely, R.S and Granillo, A. 1983. Sediment losses from forest practices in the gulf coastal plain of Arkansas, Second biennial Southern Silvicultural Research Conference, Gen. Tech. Rep. SE-24, USDA Forest Service, pp: 467-467
2.       Cornish, P.M. 1993. Effect of harvesting on runoff. Forestry Commission of New South Wales. P.O.BOX 100.

3.       Gottfried S., Gerald J., 1992. Moderate timber harvesting increases watershed. Water yield from an Arizona mixed conifer watershed. Water Resources Bulletin. Paper No:91003.

4.       Hawkins, R. H., 1984. A Comparison of Predicted and Observed Runoff Curve Number, Water Today and Tomorrow; Proc. Specialy Conf., ASCE, NewYork, N.Y., pp:702-709

5.       Hawkins, R. H., 1993. Asymptotic Dtermination of Curve Numbers from Data, Journal of Irrigation and Drainage Engineering, ASCE, 119(2):334-345.

6.       Malekian, A., 2004. The Investigation of Curve Number Method Efficiency in Runoff Depth Estimation, Iranian Journal of Natural Resources, Vol:57, No.4, pp: 621-632

7        Nassaji Zavareh, M., 2005. A Determanation of  Peak- Flood using Different Curve Number Methods (Case Study, Central Alborz Area),Iranian Journal of Natural Resources, Vol:57, No.2, ISSN: 1025-1316, pp: 315-324.

8.       Pringle, C. M., and Benstead, J. P., 2001. The effect of logging on tropical river ecosystem, www. Earthscape. Org./ r3/Es114447/fimb-ch14.

9.       Riekerk, Hanse. 1989. Influence of sivicultural practices on the hydrology of pine flatwood in Florida. Water Resource Research, vol. 25, No:4, page 713-719.

10.     Sun, G et al. 2001. Effect of timber management on the hydrology of weland forests in the South of United States. Forest Ecology and Management 143, pp: 227-236.




R.Lokeshkumar, M.Shanmugapriya, P.Sengottuvelan

Paper Title:

A Novel Approach for Query Suggestions for Personalizing the Web

Abstract:   Web recommender systems predict the needs of web users and provide them with recommendations to personalize their pages. Such systems had been expected to have a bright future, especially in ecommerce and E-learning environments. However, although they have been intensively explored in the Web Mining and Machine learning fields, and there have been some commercialized systems, the quality of the recommendation and the user satisfaction of such systems are still not conclusive. In this paper we proposed a more robust approach that leverages search query logs for automatically identifying query groups for a number of different users and record the query logs and their respective sessions. The system uses query reformulation and click graphs which contain useful information on user behavior when searching online. Such information can be used effectively for the task of organizing user search histories into query groups. The proposed technique finds value in combining with keyword semantic similarity and filtering which applies knowledge gained from these query groups in various applications such as providing query suggestions for web personalization by favoring the ranking of search results.

    Web Mining, Collaborative filtering, Personalization, Ranking pages, recommended systems.  


1.        G J. Teevan, E. Adar, R. Jones, and M. A. S. Potts, “Information reretrieval: repeat queries in yahoo’s logs,” in SIGIR. New York, NY, USA: ACM, 2007.
2.        A. Broder, “A taxonomy of web search,” SIGIR Forum, vol. 36, no. 2, pp. 3–10, 2002.

3.        A. Spink, M. Park, B. J. Jansen, and J. Pedersen, “Multitasking during Web search sessions,” Information Processing and Manage- ment, vol. 42, no. 1, pp. 264–275, 2006.

4.        R. Jones and K. L. Klinkner, “Beyond the session timeout: Automatic hierarchical segmentation of search topics in query logs,” in CIKM, 2008.

5.        P. Boldi, F. Bonchi, C. Castillo, D. Donato, A. Gionis, and S. Vigna, “The query-flow graph: Model and applications,” in CIKM, 2008.

6.        D. Beeferman and A. Berger, “Agglomerative clustering of a search engine query log,” in KDD, 2000.

7.        R. Baeza-Yates and A. Tiberi, “Extracting semantic relations from query logs,” in KDD, 2007.

8.        J. Han and M. Kamber, Data Mining: Concepts and Techniques. Morgan Kaufmann, 2000.

9.        W. Barbakh and C. Fyfe, “Online clustering algorithms,” International Jthenal of Neural Systems, vol. 18, no. 3, pp. 185–194, 2008.

10.     M. Berry and M. Browne, Eds., Lecture Notes in Data Mining. World Scientific Publishing Company, 2006.

11.     V. I. Levenshtein, “Binary codes capable of correcting deletions, insertions and reversals,” Soviet Physics Doklady, vol. 10, p. 707, 1966.

12.     M. Sahami and T. D. Heilman, “A web-based kernel function for measuring the similarity of short text snippets,” in WWW ’06: Proceedings of the 15th international conference on World Wide Web. New York, NY, USA: ACM, 2006, pp. 377–386.

13.     J.-R. Wen, J.-Y. Nie, and H.-J. Zhang, “Query clustering using user logs,” ACM Transactions in Information Systems, vol. 20, no. 1, pp. 59–81, 2002.

14.     A. Fuxman, P. Tsaparas, K. Achan, and R. Agrawal, “Using the wisdom of the crowds for keyword generation,” in WWW, 2008.

15.     K. Avrachenkov, N. Litvak, D. Nemirovsky, and N. Osipova, “Monte carlo methods in PageRank computation: When one  iteration is sufficient,” SIAM Jthenal on Numerical Analysis, vol. 45, no. 2, pp. 890–904, 2007.

16.     L. Page, S. Brin, R. Motwani, and T. Winograd, “The PageRank citation ranking: Bringing order to the web,” in Technical report, Stanford University, 1998.

17.     P. Boldi, M. Santini, and S. Vigna, “Pagerank as a function of the damping factor,” in WWW, 2005.

18.     T. H. Haveliwala, “Topic-sensitive PageRank,” in WWW, 2002.

19.     W. M. Rand, “Objective criteria for the evaluation of clustering methods,” Jthenal of the American Statistical Association, vol. 66, no. 336, pp. 846–850, 1971.

20.     D. D. Wackerly, W. M. III, and R. L. Scheaffer, Mathematical Statistics with Applications, sixth edition ed. Duxbury Advanced Series, 2002.M. Young, The Technical Writer’s Handbook. Mill Valley, CA: University Science, 1989.