We develop a novel technique for resizable Hadoop cluster’s lower bounds, bipartite matching rectangular array of conditional parameter XML tree expressions. Specifically, fix an arbitrary hybrid kernel function f:{0,1}n ->{0,1} and let Af be the rectangular array of conditional parameter XML tree expressions whose columns are each an application of f to some subset of the variables x1, x2,... x4n. We prove that Af has bounded-capacity resizable Hadoop cluster’s complexity omega(d) , where d is the approximate degree of f . This finding remains valid in the MapReduce programming model, regardless of prior measurement. In particular, it gives a new and simple proof of lower bounds for robustness and other symmetric conjunctive predicates. We further characterize the discrepancy, approximate PageRank, and approximate trace distance norm of Af in terms of well-studied analytic properties of f, broadly generalizing several findings on small-bias resizable Hadoop cluster and agnostic inference. The method of this paper has also enabled important progress in multi-cloud resizable Hadoop cluster’s complexity..
- Page(s): 01-19
- Date of Publication: 06 November 2016
- Ravi (Ravinder) Prakash GSenior Professor Research, BMS Institute of Technology & Management, Dodaballapur Road, Avalahalli Yelahanka, Bengaluru, India
References
[1]. Ravi (Ravinder) Prakash G, What is a Geometric Spanner of Resizable Hadoop Channel for Homogeneous Lower Bounds? International Journal of Latest Technology in Engineering, Management & Applied Science, Volume V, Issue VIII, Pages 08-27, August 2016, ISSN 2278- 2540. [2]. Greenlaw, R. and Kantabutra. 2008. On the parallel complexity of hierarchical clustering and CC-complete problems. Complexity 14, 18- 28. (doi:10.1002/cplx.20238) [3]. Ravi (Ravinder) Prakash G, Necessary & Sufficient Conditions for Wavelet Filter Convergence of Lower Bounds to their Resizable Hadoop Channels, International Journal of Research and Scientific Innovation, Volume III, Issue IX, Pages: 12-30, September 2016, ISSN 2321–2705. [4]. Amazon Elastic MapReduce. https://aws.amazon.com/elasticmapreduce/ [5]. J. Lu, T.W. Ling, Z. Bao, and C. Wang, “Extended XML Tree Pattern Matching: Theories and Algorithms,” IEEE Trans. Knowledge and Data Eng., vol. 23, no. 3, pp. 402-416, Mar. 2011. [6]. N. Ailon, B. Chazelle, S. Comandur, D. Liu. 2007. Estimating the Distance to a Monotone Function. Random Structures and Algorithms 31, 371-383. (doi:10.1002/rsa.20167) [7]. A. Gavish, Abraham Lempel. 1996. Match-length functions for data compression. IEEE Transactions on Information Theory 42, 1375-1380. (doi:10.1109/18.532879) [8]. Ravi (Ravinder) Prakash G, Necessary & Sufficient Conditions for Recursive Image Filter Convergence of Hadoop Channels to their Homogeneous Lower Bound, International Journal of Research and Scientific Innovation, Volume III, Issue 9, Pages 34-52, September 2016, ISSN 2321–2705. [9]. Ping Wah Wong. 1997. Rate distortion efficiency of subband coding with crossband prediction. IEEE Transactions on Information Theory 43, 352-356. (doi:10.1109/18.567761) [10]. A. Lafourcade, Alexander Vardy. 1996. Optimal sectionalization of a trellis. IEEE Transactions on Information Theory 42, 689-703. (doi: 10.1109/18.490504) [11]. T.M. Cover. 1998. Comments on Broadcast Channels. 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An upper bound on the zero-error list-coding capacity. IEEE Transactions on Information Theory 40, 1237-1240. (doi:10.1109/18.335947) [24]. B. Chazelle, H. Edelsbrunner, L.J. Guibas, M. Sharir. 1991. A Singly Exponential Stratification Scheme for Real Semi-Algebraic Varieties and Its Applications. Theoretical Computer Science 84, 77-105. (doi:10.1016/0304-3975(91)90261-Y) [25]. B. Kimelfeld and Y. Sagiv, “Twig Patterns: From XML Trees to Graphs,” Proc. Ninth Int’l Workshop Web and Databases (WebDB ’06), 2006. [26]. B. Chazelle. 1999. Discrepancy Bounds for Geometric Set Systems with Square Incidence Matrices. Advances in Discrete and Computational Geometry, Contemporary Mathematics AMS 223, 103-107. [27]. B. Chazelle. 2004. The Discrepancy Method in Computational Geometry. Handbook of Discrete and Computational Geometry, CRC Press 44, 983-996. [28]. Fadika, Z.; Govindaraju, M. 2010. LEMO-MR: Low Overhead and Elastic MapReduce Implementation Optimized for Memory and CPUIntensive Applications. IEEE Second International Conference on Cloud Computing Technology and Science (CloudCom), 1-8. (doi:10.1109/CloudCom.2010.45) [29]. Fadika, Z.; Govindaraju, M. 2011. DELMA: Dynamically Elastic MapReduce Framework for CPU-Intensive Applications. 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 454-463. (doi: 10.1109/CCGrid.2011.71) [30]. Iordache, A.; Morin, C.; Parlavantzas, N.; Feller, E.; Riteau, P. 2013. Resilin: Elastic MapReduce over Multiple Clouds. 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 261-268. (doi:10.1109/CCGrid.2013.48) [31]. XiaoyongXu; Maolin Tang. 2013. A comparative study of the semielastic and fully-elastic mapreduce models. IEEE International Conference on Granular Computing (GrC), 380-385. (doi:10.1109/GrC.2013.6740440) [32]. Wei Xiang Goh; Kian-Lee Tan. 2014. Elastic MapReduce Execution. 14th IEEE/ACM, International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 216-225. (doi:10.1109/CCGrid.2014.14) [33]. B. Chazelle, W. Mulzer. 2011. Computing Hereditary Convex Structures. Discrete Comput. Geom. 45, 796-823. (doi:10.1007/s00454- 011-9346-8) [34]. B. Chazelle, H. Edelsbrunner, M. Grigni, L.J. Guibas, M. Sharir, E. Welzl. 1995. Improved Bounds on Weak ε-Nets for Convex Sets. Discrete Comput. Geom. 13, 1-15. (doi:10.1007/BF02574025) [35]. David P. Williamson, David B. Shmoys. 2011. The Design of Approximation Algorithms.Cambridge University Press, 978-0-521- 19527-0. [36]. Oded Goldreich. 2008. Computational Complexity: A Conceptual Perspective.Cambridge University Press, 978-0-521-88473-0. [37]. Sanjeev Arora, Boaz Barak. 2009. Computational Complexity: A Modern Approach.Cambridge University Press, 978-0-521-42426-4. [38]. Dimitri P. Bertsekas, Convex Optimization Algorithms, Athena Scientific, Hardcover Edition ISBN: 1-886529-28-0, 978-1-886529-28- 1, Publication: February, 2015, 576 pages. [39]. Ravi (Ravinder) Prakash G, Necessary & Sufficient Conditions for Consistency of Bipartite Matching Polyhedral Path Expressions to their Resizable Hadoop Cluster Complexity, International Journal of Latest Technology in Engineering, Management & Applied Science, Volume V, Issue IX, Pages: 07-25, September 2016. ISSN 2278-2540. [40]. Marouane Hachicha and Jerome Darmont, "A Survey of XML Tree Patterns", IEEE Transactions on Knowledge & Data Engineering, vol. 25, no. , pp. 29-46, Jan. 2013, doi:10.1109/TKDE.2011.209. [41]. Kevin P. Murphy. 2012. Machine Learning: A Probabilistic Perspective. The MIT Press. [42]. Koller and Nir Friedman. 2009. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning. The MIT Press
Ravi (Ravinder) Prakash G "Necessary & Sufficient Conditions for Consistency of Conditional Parameter XML Tree Expressions to their Resizable Hadoop Cluster Complexity" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 10, pp.01-19 2016
Pigment industry is among the most polluting chemical industries. Pigment industry is one of the major industries causing water pollution. The pigment industries waste water not only contains high level of suspended solids and total solids but also contains pH, COD, BOD, acidity, alkalinity, color. The study reveals the performance, evaluation and operational aspects of effluent treatment plant and its treatability rather than the contamination status of real property. Samples are collected from Oil & Grease trap, Equalization & Neutralization tank, Primary sedimentation tank, Activated sludge unit and Carbon absorption to evaluate the performance of Effluent Treatment Plant. The results revealed that the treated effluent shows most of the parameters are within permissible limits of central pollution control board, India and based on the site visits, discussion with operation peoples, treatment system, existing effluent discharge, results of sample analyzed and found that effluent treatment plant of pigment industry are under performance satisfactory.
- Page(s): 20-23
- Date of Publication: 06 November 2016
- Ami N DaveDepartment of Civil Engineering, Government Engineering College, Bharuch, India
- Satyam L PanchalDepartment of Civil Engineering, Government Engineering College, Bharuch, India
- Jignesh K PatelDepartment of Civil Engineering, Government Engineering College, Bharuch, India
References
[1] Eaton, A. D. Clesceri, L.S. and Greenberg, A.E. standard method for the examination of water and wastewater (APHA,AWWA and WPCF, 1995) [2] K. M. Shah(Second Edition), “Handbook of synthetic dyes & pigments”, Vol. III, multitech publishing co. [3] Metcalf and Eddy (Third Edition), “Wastewater Engineering Treatment, Disposal, Reuse”, TATA McGraw – Hill Edition, 2003. [4] Nelson Leonard Nemerow and Avijit Dasgupta, “Industrial and Hazardous waste treatment”, Van Nostrand Reinhold, New York, 1991 [5] Bureau of Indian Standards (BIS), Indian Standards for industrial discharge into surface water 1982 IS 2490 [6] Areivala, S. J., (1999), 2nd edition., TataMcgraw – Hill Publishing company limited, New Delhi. [7] C. Fred Gurnham, “Principle of industrial waste treatment, John wiley & sons, Inc., New York.,Chapman and hall limited, London.
Ami N Dave, Satyam L Panchal, Jignesh K Patel "Performance Evaluation of Effluent Treatment Plant for Pigment Industry" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 10, pp.20-23 2016
Today in Medical field biomaterial’s are in use for the replacement of artificial heart, skin, lever, bone etc in human body. In the advanced material engineering field, mainly mechanical parameters increase the efficiency of the system. Due to fast growing in population and more usage of automobiles leading to increase in accidents in daily life. Men/women met with such type of accidents which may cause fracture of bone. The largest and heaviest joint in the human body is the knee joint which includes femur, tibia, pattelar and articulating surface. Currently polyethylene is the widely used material for articulating surface of knee implants in total knee replacement. Failures of the implants after the implantation within prescribed time is mainly due to its low tensile, compressive, shear strengths, and also poor load bearing properties of Polyethylene material. Among all available biocompatible materials PEEK and Polyurethane is selected which are biocompatible, economical, low density, easily manufacturable and readily available. Polyethylene is considered as reference for the present investigation to compare the strength of the selected materials. In the investigation basic mechanical test’s viz. tension, compression, shear tests were conducted according to ASTM standards to record the mechanical properties which help to decide their strength parameter for the articulating surface.
- Page(s): 24-29
- Date of Publication: 06 November 2016
- Venkatesh NResearch Scholar, UVCE, Bangalore, India.
- Dr. H. G. HanumantharajuDepartment of Mechanical Engineering, UVCE, Bangalore, India
- Hemanth BResearch Scholar, UVCE, Bangalore, India
References
[1]. Emmerson KP, Moran CG, Pinder IM. Survivorship analysis of the kinematic stabilizer total knee replacement: A 10–14 year follow-up. J Bone Joint Surg. 1996;78B:441–445 [2]. Fehring TK, Valadie AL. Knee instability after total knee arthroplasty. ClinOrthop. 1994;299:157–162. [3]. Colizza WA, Insall JN, Seuderi GR. The posterior stabilized knee prosthesis: Assessment of polyethylene damage and osteolysis after a ten-year minimum follow up. J Bone Joint Surg. 1995;77A:1713–1720. [4]. Standard Practice for Laboratory Tests: Designation: E8, E9, B769, from ASTM 2004 standards.
Venkatesh N, Dr. H. G. Hanumantharaju, Hemanth B "Investigation on Peek and Polyurethane for Strength Used in Articulating Surface of Knee Implants" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 10, pp.24-29 2016
The level of metrosexuality among males has increased significantly over the last number of years as males are now showing more of an interest in fashion, appearance and beauty enhancement products. They are increasingly becoming passionate consumers of once taboo goods and services such as grooming products, cosmetics, salon services and fashion goods. This consumer, labeled as the metrosexual, is alleged to indicate a departure from conventional notions of masculinity. Advertisers are taking notice by increasingly promoting goods and services to target this lucrative consumer segment. This paper aims to explore and analyze the impact of media (advertisements basically) on the identity of metrosexual men whose certain characteristics are different from conservative males. It is an exploration of the relationship between ads of transforming conservative, old-fashioned males into appealing and more confident ones and the resulting anxiety levels. All the statistical analysis is carried out with the help of SPSS and to find out significant difference between the opinions of different demographic groups, Frequency distribution with tables and charts, Cross-tables and One-way ANOVA (Analysis of Variance) is used. This contrastive study will provide understanding and insight not only on the influence of advertising but also on the new gender of modern men who are different from the conventional ones. The present study conducted during the year 2015, will also provide marketers and advertisers with the tools to effectively target this important segment i.e. men.
- Page(s): 30-38
- Date of Publication: 06 November 2016
- Jaiman Preet KaurResearch Scholar, Department of IRC-UHVE, IKG Punjab Technical University, Kapurthala, Punjab, India
- Dr. Jagmeet BawaJoint-Director, Department of IRC-UHVE, IKG Punjab Technical University, Kapurthala, Punjab, India
[1]. Simpson (1994), Male Impersonators: Men performing masculinity, London, Castell. [2]. Conseur (2004). Factors Influencing the Emergence of the Metrosexual, University of Georgia Theses and dissertations, Source: https://purl.galileo.usg.edu/uga_etd/conseur_amanda_a_200405_m s [3]. Janowska (2008). Metrosexual men’s shopping habits –study of the modern men’s clothing brand selection, Bachelor Thesis FE3933, source: https://www.divaportal. org/smash/get/diva2:206468/FULLTEXT01.pdf [4]. Lertwannawit et. al. (2010). Metrosexual Identification: Gender Identity and Beauty Related Behaviors, International Business and Economics Research Journal, Vol. 9 No..11, pp 85-90. [5]. Hall and Gough (2011). Magazine and reader constructions of ‘metrosexuality’ and masculinity: A membership categorisation analysis, Journal of Gender Studies Vol. 20, No.01, pp 67-86. [6]. Piayura (2013). Metrosexual men in Thai Classical Literature, International journal of social science and humanity, May, Vol. 3, No. 3, pp- 218-221. [7]. Harris (2013). An Investigation into the Social Acceptance into the Irish Society, thesis submitted in National College of Ireland in fulfillment of M.Sc in Marketing. Source: https://trap.ncirl.ie/855/1/fionaharris.pdf.
Jaiman Preet Kaur, Dr. Jagmeet Bawa "Males, Media and Metrosexuality: An Exploratory Study of Persuasion" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 10, pp.30-38 2016
I. INTRODUCTION Employee empowerment is giving employees a certain degree of autonomy and responsibility for decisionmaking regarding their specific organizational tasks. It allows decisions to be made at the lower levels of an organization where employees have a unique view of the issues and problems facing the organization at a certain level. Employee empowerment is creating a working environment where an employee is allowed to make his own decision in specific work related situations. Employee empowerment results in increased employee satisfaction, increased productivity and increased customer satisfaction. Organizations today understand that in a knowledgedriven economy, speed in taking decisions, efficient methods of functioning and innovative ideas help them gain an edge over competitors. It is with this view point that organizations are giving attention to employee empowerment. The important factors that drive organizations towards employee empowerment are to encourage creativity and innovation, increase productivity, align goals of employees with those of the organization, to help in employee retention.
- Page(s): 39-45
- Date of Publication: 06 November 2016
- K. Arun PrasadAssistant Professor, Department of Management Studies, Saranathan College of Engineering, Tiruchirappalli, Tamil Nadu, India
References
[1]. Scott E. Seibert (2004) A Multiple-Level Model of Empowerment, Performance, and Satisfaction. University of Illinois at Chicago. Vol.47no.332-349. [2]. Heather K. Spence Laschinger (2004). A longitudinal analysis of the impact of workplace empowerment on work satisfaction. [3]. Nicola Denham Lincoln (2002). The meaning of empowerment: the interdisciplinary etymology of a new management concept. [4]. Margaret Erstad (1997). Empowerment and organizational change. International Journal of Contemporary Hospitality Management Vol. 9: Issue. 7: Pages. 325-333. [5]. Gretchen M. Spreitzer (1995). Psychological Empowerment in the Workplace: Dimensions, Measurement, and Validation. vol. 38 no. 1442-1465. [6]. Brymer, R.A. (1991). Employee empowerment, a guest-driven leadership strategy. The cornell quarterly. Vol. 32 (1) pp56-58. [7]. Thomas,K.W., and Velthouse ,B.A.,(1990). Cognitive elements of empowerment: an interpretive model of intrinsic motivation. Academic of management review. Vol.15,pp 666-681. [8]. Zemke,R and schaaf,D. (1989).the service edge: 101 companies that profit from customer care. New York, N.Y American library. [9]. Conger ,J.A.and kanungo,R.N., (1988). the empowerment process: integrating theory and practise. Academy of management review, vol.13 (3), pp 471-482. [10]. Benis,W., and nanus,B., (1985). Leaders, New York: Harper and Row. [11]. Hofstede G (1980). Culture’s consequences: international differences in work-related values, saga publications, thousand oaks’, California.
K. Arun Prasad "Empirical Study on the Dimensions of Employee Empowerment" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 10, pp.39-45 2016
Stress and abnormal pain experienced by drivers during driving is one of the major causes of road accidents. Most of the existing systems focus on drivers being drowsy and monitoring fatigue. In this paper, an effective intelligent system for monitoring drivers’ stress and pain from facial expressions is proposed. A novel method of detecting stress as well as pain from facial expressions is proposed by combining a CK data set and Pain dataset. Initially, AAM (Active Appearance Models) features are tracked from the face; using these features, the Euclidian distance between the normal face and the emotional face are calculated and normalized. From the normalized values, the facial expression is detected via trained models. It has been observed from the results of the experiment that the developed system works very well on simulated data. The proposed system will be implemented on a mobile platform soon and will be proposed for android automobiles.
- Page(s): 46-51
- Date of Publication: 06 November 2016
- R. ManoharanRajalakhsmi Engineering College, Chennai, Tamil Nadu, India
- S. ChandrakalaSri Krishna College of Engineering & Technology, Coimbatore, Tamil Nadu, India
- W. KhanBournemouth University,United Kingdom
[1]. “Crashes vs. congestion, what is the cost to society?” American Automobile Association (AAA), Heathrow, FL, USA, 2011. [2]. Doshi and M.M. Trivedi, “On the roles of eye gaze and head dynamics in predicting driver’s intent to change lanes,” IEEE Trans. Intell. Transp.Syst., vol. 10, no. 3, pp. 453–465, Sep. 2009. [3]. Amditis, M. Bimpas, G. Thomaidis, M. Tsogas, M. Netto, S.Mammar, A. Beutner, N. Möhler, T.Wirthgen, S. Zipser, A. Etemad, M. Da Lio, and R. Cicilloni, “A situation-adaptive lanekeeping support system: Overview of the SAFELANE approach,” IEEE Trans. Intell. Transp. Syst., vol. 11, no. 3, pp. 617–629, Sep. 2010. [4]. K. Murata, E. Fujita, S. Kojima, S. Maeda, Y. Ogura, T. Kamei, T. Tsuji, S. Kaneko, M. Yoshizumi, and N. Suzuki, “Noninvasive biological sensor system for detection of drunk driving,” IEEE Trans. Inf. Technol. Biomed., vol. 15, no. 1, pp. 19–25, Jan. 2011. [5]. L.-W. Zhu, Z.-Y. Zhang, Z.-J. Bao, and Y. Sun, “Study on the drink driving behavior of drivers in Beijing based on the theory of plan behavior,” in Proc. LEITS, 2010, pp. 1–5. [6]. D. Jiangpeng, T. Jin, B. Xiaole, S. Zhaohui, and X. Dong, “Mobile phone based drunk driving detection,” in 4th Int. Conf. Pervasive Health, Munich, Germany, 2010, pp. 1–8. [7]. Y.C. Liu and C.H. Ho, “The effects of different breath alcohol concentration and post alcohol upon drivers driving performance,” in Proc. IEEE IEEM, 2007, pp. 505–509. [8]. Y. Dong, Z. Hu, K. Uchimura and N. Murayama, “Driver inattention monitoring system for intelligent vehicles: A review,” IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 2, pp. 596–614, 2011. [9]. Nass, I.-M. Jonsson, H. Harris, B. Reaves, J. Endo, S. Brave and L. Takayama, “Improving Automotive Safety by Pairing Driver Emotion and Car Voice Emotion,” in Intl. Conf. on HCI, 2005. [10]. E. Sariyanidi, H. Gunes, and A. Cavallaro, "Automatic analysis of facial affect: A survey of registration, representation and recognition", IEEE Transactions On Pattern Analysis And Machine Intelligence, August 2013. [11]. Conf. Ocular Measures of Driver Alertness, Washington, DC, Apr.26–27,1999. [12]. J. Healy and R. Picard, “Detecting Stress During Real-World Driving Tasks Using Physiological Sensors,” IEEE Transactions on Intelegent Transportation Systems, vol. 6, no. 3, 2005. [13]. H. Yoshida, H. Kataoka, M. Yasuda, A. Saijo and M. Osumi, “Development of a skin temperature measuring system for noncontact stress evaluation,” in the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1998, vol. 2, pp. 940–943. [14]. Manstetten, M. Rimini-Doering, U. Landsatter, T. Altmueller and M. Mahler, “Monitoring driver drowsiness and stress in a driving simulator,” in First International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, 2001, pp. 58–63. [15]. W. Liao, W. Zhang, Z. Zhu and Q. Ji, “A real-time human stress monitoring system using dynamic Bayesian network,” in IEEE Conference on Computer Vision and Pattern Recognition - Workshops, 2005, pp. 70–70. [16]. Kolli, A. Fasih, F. Al Machot and K. Kyamakya, “Non-intrusive car driver’s emotion recognition using thermal camera,” in Joint 3rd Int’l Workshop on Nonlinear Dynamics and Synchronization (INDS), 2011, pp. 1–5. [17]. R. Manoharan and S. Chandrakala, “Android OpenCV based effective driver fatigue and distraction monitoring system”, IEEE ICCCRT, 2015. [18]. T. Cootes, G. Edwards and C. Taylor. “Active Appearance Models”. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(6):681–685, 2001. [19]. P. Ekman, “Universal and Cultural Differences in Facial Expressions of Emotion,” J. Cole ed, Nebraska Symposium on Motivation, vol. 19, pp. 207–282, 1972. [20]. H. Gao, A. Y¨uce and J.-P. Thiran, "Detecting Emotional Stress From Facial Expressions For Driving Safety", ICIP, 2012. [21]. J.F. Cohn, J. Saragih, T. Kanade, Z. Ambadar, I. Matthews and P. Lucey, "The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression", Proc. of IEEE workshop on CVPR, San Francisco, USA, 2010. [22]. P. Lucey, J.F. Cohn, K.M. Prkachin, P.E. Solomon and I. Matthews, "PAINFUL DATA: The UNBC-McMaster Shoulder Pain Expression Archive Database", submitted to the IEEE International Conference on Automatic Face and Gesture Recognition (FG2011), Santa Barbara, USA, 2011. [23]. P. Ekman, W. Friesen and J. Hager, The Facial Action Coding System, 2nd ed., London: Weidenfeld and Nicolson, 2002. [24]. Z. Ambadar, J.W. Schooler and J. Cohn, “Deciphering the enigmatic face: The importance of facial dynamics in interpreting subtle facial expressions,” Psychological Science, vol. 16, no. 5, pp. 403–410, 2005. [25]. R. Rosenthal and N. Ambady, “Thin slices of expressive behavior as predictors of interpersonal consequences: A meta–analysis,” Psychological Bulletin, vol. 11, no. 2, pp. 256–274, 1992. [26]. P. Ekman, W. Friesen and J. Hager, “The Facial Action Coding System”, 2nd ed., London: Weidenfeld and Nicolson, 2002. [27]. J. Cohn and K.L. Schmidt, “The timing of facial motion in posed and spontaneous smiles,” Int’l J. of Wavelets, Multiresolution and Information Processing, vol. 02, no. 02, pp. 121–132, 2004. [28]. P. Lucey, J. Cohn, I. Matthews, S. Lucey, S. Sridharan, J. Howlett and K. Prkachin, “Automatically detecting pain in video through facial action units,” IEEE Trans. Systems, Man and Cybernetics – Part B, vol. 41, no. 3, pp. 664–674, 2011. [29]. S. Eleftheriadis, O. Rudovic and M. Pantic, "Discriminative Shared Gaussian Processes for Multiview and View-Invariant Facial Expression Recognition", IEEE Transactions On Image Processing, Vol. 24, No. 1, January 2015. [30]. S.L. Happy and A. Routray, "Automatic Facial Expression Recognition Using Features of Salient Facial Patches", IEEE Transactions On Affective Computing, March 2015. [31]. F.Gosselin, R.P. Rainville, C. Blais and D. Fiset, "Efficient information for recognizing pain in facial expressions", Europian Journal of Pain, 2015.
R. Manoharan, S. Chandrakala and W. Khan, "Drive Safe: An Intelligent System for Monitoring Stress and Pain from Drivers’ Facial Expressions" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.5 issue 10, pp.46-51 2016
Hydrocarbons are used to generate energy. Most of the day to day products used by human beings are also derived from hydrocarbons. The use of hydrocarbons for generating energy will leave more global warming gases into the atmosphere. It is better to replace the hydrocarbon usage with renewable energy resource to generate energy. But we cannot stop producing hydrocarbons due to the usage of their derived products in day to day life. The replacement of hydrocarbons with non renewable sources of energy can be started from the point of exploration and production of hydrocarbons itself. In this paper we have designed various concepts for compensating the use of hydrocarbons with renewable energy resources to generate energy for the exploration and production of hydrocarbons both in onshore and offshore.
- Page(s): 52-54
- Date of Publication: 06 November 2016
- M.S.N Prasad ReddyDepartment of Petroleum Technology, Aditya Engineering College, India
- T.N.H KartheekDepartment of Petroleum Technology, Aditya Engineering College, India
References
[1]. Amir Vosough, (2011) Wave Power, International Journal of Multidisciplinary Sciences and Engineering. [2]. C. Miller, (2008) Wave and Tidal Energy Experiments in San Francisco and Santa Cruz. [3]. D. Mollison, O.P. Buneman, and S.H. Salter. (1976), Wave power availability in the NE Atlantic. Nature, 263:223 – 226. [4]. D.A. Vermaas, K. Nijmeijer, M. Saakes, Double Power Densities from Salinity Gradients at Reduced Intermembrane Distance, Environ. Sci. Technol., 45 (2011) 7089-7095. [5]. David A. Vermaasa, Enver Gulera, Michel Saakes, Kitty Nijmeijer, Energy Procedia (2012), Theoretical power density from salinity gradients using reverse electrodialysis, 170 – 184. [6]. George Abe, P Jayakumar, James E J., (1996), Salinity intrusion into Muvattupuzha estuary (south west coast of India) during premonsoon season. Indian journal of marine sciences, 25, pp 352- 354. [7]. Jyothi, D., Ramana, Murty. T. V., Sarma, V. V., Rao, D. P., (2000), Computation of diffusion coefficients for waters of Gauthami Godavari estuary using onedimensional advectiondiffusion model. Indian journal of marine sciences, 29, pp 185- 187. [8]. Joao Lima, Babcock, EDP and Efacec to Collaborate on Wave Energy Projects Bloomberg, September 23, 2008. [9]. L. J. Duckers. (1994) Wave energy; crests and troughs. Renewable Energy, 5(2):1444 – 1452. [10]. Soroosh Daqiqeh Rezaei, Santiranjan Shannigrahi, Seeram Ramakrishna, A review of conventional, advanced, and smart glazing technologies and materials for improving indoor environment, Solar Energy Materials and Solar Cells, Volume 159. [11]. W. Post, J. Veerman, H.V.M. Hamelers, G.J.W. Euverink, S.J. Metz, D.C. Nymeijer, C.J.N. Buisman, Salinitygradient power: Evaluation of pressure-retarded osmosis and reverse electrodialysis. J. Membr. Sci. 288 (2007) 218–230
M.S.N Prasad Reddy, T.N.H Kartheek "Use of Renewable Energy in Exploration and Production of Hydrocarbons" International Journal of Latest Technology in Engineering,Management & Applied Science-IJLTEMAS vol.5 issue 10, pp.52-54 2016
In many states pomegranate is a fruit in the market one of the most profits gaining fruit. The plants are affected by various diseases it destroy the entire crop and it tends very less product yield. The neural network technique and an image processing to deal with the main issues of phyto- pathology. Due to the bacteria, fungus, and the climatic condition the pomegranate fruit and leaves are also infected . Due to these bacteria the Fruit root, Bacterial Blight, Leaf spot and Fruit Spot diseases would segmentation. The features are extracted by using GLCM method, and the features are given to the artificial neural network the results would be accurate and the overall accuracy is up to 90%.
- Page(s): 55-59
- Date of Publication: 06 November 2016
- E. Rajeswari DeviM Tech. (DECS), Department of ECE, Sri Padmavathi Mahila ViswaVidyalayam, India
- M. MunisankarAssistant Professor, Department of ECE, Sri Padmavathi Mahila ViswaVidyalayam, India =
References
[1]. Simon Haykins, “An Introduction to Artificial Neural Networks”, Pearson Publications, 2005. [2]. Gonzalviz R. C., Woods R. E.,“Digital Image Processing”, Pearson Publications, 2009. [3]. Shivram Dubey and Anand Singh Jalal, “ Detection and classification of apple fruit diseases using complete local binary patterns”, Third International Conference on Computer and Communication Technology, vol.13(no.8):pages.346-351, August 2012. [4]. Tejal Deshpande, Sharmila Sengupta, and K.S.Raghuvanshi, “Grading identification of disease in pomegranate leaf and fruit”, International Journal of Computer Science and Information Technologies, Vol. 5(3): pages.4638-4645, August 2014. [5]. DaeGwan Kim, Thomas F. Burks, and Duke M. Bulanon Jianwei Qin, “Classification of grapefruit peel diseases using color texture feature analysis”, International Journal on Agriculture and Biological Engineering, pages 41-50, Sept 2009 [6]. Dhanashree Gadkari, “Image quality analysis using glcm”, Thesis, University of Central Florida , Orlando, Florida, 2000. [7]. Monika Jhuria, Ashwani Kumar, and Rushikesh Borse, “ Image processing for smart farming:detection of disease and fruit grading”, Proceedings of 2013 IEEE Second International Conference on Image information Processing, pages 521-526, 2013. [8]. K. M. Rao, Deputy Director, NRSA Hyderabad, “Overview of image processing”, Readings in Image processing. [9]. MacQueen, “Some methods for classification and analysis of multivariate observations”, Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol.1: pages. 287-291, Dec 1967. [10]. P. Mohanaiah, P. Sathyanarayana, and L. GuruKumar,“Image texturefeature extraction using glcm approach”, International Journal of Scientific and Research Publications, vol. 3(5), May 2013. [11]. Pradnya Ravindra Narvekar, Mahesh Manik Kumbhar, and S. N. Patil, “Grape leaf diseases detection analysis using sgdm matrix method”, International Journal of Innovative Research in Computer and Communication Engineering, pages pages.287-291, March 2014. [12]. Timo Ojala, Matti Pietikainen, and Topi Maenpaa,“Multiresolution grayscale and rotation invariant texture classification with local binary pattern”, IEEE Trans. On Pattern Analysis and Machine Intelligence, vol.24(7): pages.971-987, 2002. [13]. V.T.Jadhav, “ Vision-2025”, National Research Centre on Pomegranate (Indian Cuncil of Agricultural Research), August 2007.
E. Rajeswari Devi, M. Munisankar "Diagnosis of Phyto Pathology in Pomegranate Plant Diseases using Fuzzy-C-Means Algorithm" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 10, pp.55-59 2016
Steam turbine is one of the most important prime movers for generating electricity. This falls under the category of power producing turbo-machines. Single unit of steam turbine can develop power ranging from 1 MW to 1000 MW. The purpose of turbine technology is to extract the maximum quantity of energy from the working fluid, to convert it into useful work with maximum efficiency, by means of a plant having maximum reliability, minimum cost, minimum supervision and minimum starting time. This present work explores the finite element analysis of a steam turbine blade using ANSYS software. Life cycle assessment of steam turbines is essential to improve their design and maintenance plans, since they should operate more than 20 years with minimum interruptions and without failures. Important element of this turbine is the blades and rotor due to their size, mass and cyclic stresses with relatively high frequencies and amplitude. To cope up with this we are using titanium alloy as a material. Different types of loads acting on steam turbine blade and consequential stresses develops in blade are studied. Fatigue stresses are developed on the steam turbine blade due to change in steam speed. The maximum steam speed range (from cut-in to cut-out steam speed) is considered for design of blade as well as predicting the fatigue life of the blade.
- Page(s): 60-62
- Date of Publication: 06 November 2016
- Prabhunandan G SMechanical Engineering Department, Ghousia College of Engineering, Ramanagara, Karnataka, India
- H V ByregowdaMechanical Engineering Department, Ghousia College of Engineering, Ramanagara, Karnataka, India
References
[1] ISSN 0040-6015 at 2011,Erosion Wear of the Blades of Wet_Steam Turbine Stages: Present State of the Problem and Methods for Solving ItPublished by V. A. Ryzhenkov, A. I. Lebedeva, and A. F. Mednikov [2] ISSN 0040-6015, 2012, Optimizing the Geometrical Parameters in a Group of High_ and Intermediate_Pressure Stages Used in Large Steam TurbinesPublished byV. G. Gribin, V. V. Nitusov, and E. V. Mednikova [3] ISSN 0040-6015, 2012, Structure improvement and strength finite element analysis of VHP welded rotor of 700°C USC steam turbinePublished byJinyuan SHI, Zhicheng DENG, Yong WANG, Yu YANG [4] ISSN 0040-6015, 2011, The T_120/130_12.8 and PT_100/130_12.8/1.0 Cogeneration Steam Turbines Produced by the Ural Turbine Works for Replacing Turbines of the T_100 FamilyPublished byG.D. Barinberg, A.E. Valamin, Yu.A. Sakhnin, A.Yu. Kultyshev. [5] ISSN: 2319-8753, Experimental invenstigation on design of High Pressure Steam Turbine Blade,publishedbySubramanyamPavuluri, Dr. A. Siva Kumar. [6] D.Ziegler, M. Puccinelli, B. bergallo, and A. Picasso, “investigation of turbine blade failure in a thermal power plant,” case studies in engineering failure analysis. vol. 1, no. 3, pp. 192- 199, 2013.
Prabhunandan G S, H V Byregowda "Static and Fatigue Analysis of a Steam Turbine Blade" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 10, pp.60-62 2016
Being India is one of the highest spending and fastest growing advertising market globally, has a wide scope for expansion of multiplexes. The Indian market is currently dominated by the four major players in multiplexes. A multiplex is a multi-screen entertainment complex projecting different films in same time under one roof with other supporting businesses such as food courts, shopping, video games, etc., Indian cities are classified based on the size of population, income levels, infrastructure in X, Y, Z categories. There is more room space for development of multiplexes in tier-2 and tier-3 cities as people from different streams with capability in spending amount for recreation are ready to enjoy the experience of multiplexes. There are key benefits to look for tier- 2 and tier-3 cities in business development and drivers for growth are discussed in this paper.
- Page(s): 63-65
- Date of Publication: 06 November 2016
- Sudheer Kumar J SAssistant Professor, Department of Business Administration, SRK Institute of Technology, Enikepadu, Vijayawada, Andhra Pradesh
- Dr. A. Sathish BabuAssociate Professor, Department of Commerce and Management, VRS & YRN PG College, Chirala, Andhra Pradesh, India
References
[1]. “Sixth Central Pay Commission Classification of Cities"-Ministry of Personnel, Public Grievances and Pension. Retrieved on 26th March 2014. [2]. “Indian Media and Entertainment Industry Report - 2015”, FICCI and KPMG. [3]. https://www.business-standard.com/article/economy-policy/bangaloregets- a1-status-107092501055_1.html [4]. https://www.business-standard.com/article/companies/india-s-box-officegrowth- runs-into-a-screen-problem-116011801209_1.html [5]. https://www.academia.edu/11227185/PROJECT_ON_CONSUMER_RE SEARCH_STUDY_ON_MULTIPLEXES_IN_VADODARA_actual
Sudheer Kumar J S, Dr. A. Sathish Babu "Indian Multiplex: Drivers for Growth in Tier-2 and Tier-3 Cities" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 10, pp.63-65 2016
In this paper, we present a methodology for multispectral image registration. In the proposed method, both the input images are subjected to feature extraction using scale invariant fourier transform (SIFT). Image registration is done for one of the input image using affine transform. Image fusion of charge coupled device (CCD) image and Infrared image has become one of the most promising area of research in the field of multispectral image processing for both security as well as application specific requirement.One of the major applications of this idea is in the security domain such as border areas, Antipoaching purposes. This approach is formulated using wavelet packet transformation (WPT), such that we estimate the parameters of a geometric transformation that aligns multispectral images. The basic concept is to create composite images and then match them by WPT Method. The goal of registration is to establish the correspondence between two images and determine a geometric transform that aligns one with the other which performs better quality prediction accuracy. Since EO and IR sensors are operated at different frequency bands, their images have different gray level characteristics. CCD camera captures visible spectrum of wavelength 300-600 nano meter and IR camera (Blind Image) captures long wavelength IR of 8-14 micro-meter..
- Page(s): 66-72
- Date of Publication: 06 November 2016
- Mohammed Fazal ElahiAssistant Professor, Department of ECE, Islamia IT, Bengaluru, Karnataka, India
- Md Aftab AlamAssistant Professor, Department of ECE, Islamia IT, Bengaluru, Karnataka, India
- Aarif MiyanAssistant Professor, Department of ECE, Islamia IT, Bengaluru, Karnataka, India
References
[1]. Z. Wang, A. C. Bovik, and B. L. Evan, “Blind measurement of blocking artifacts in images,” in Proc. IEEE Int. Conf. Image Process., Sep. 2000,pp. 981–984. [2]. F. Pan et al., “A locally adaptive algorithm for measuring blocking artifacts in images and videos,” Signal Process., Image Commun., vol. 19, no. 6, pp. 499–506, Jul. 2004. [3]. H. Liu, N. Klomp, and I. Heynderickx, “A no-reference metric for perceived ringing artifacts in images,” IEEE Trans. Circuits Syst. Video Technol., vol. 20, no. 4, pp. 529–539, Apr. 2010. [4]. R. Ferzli and L. J. Karam, “A no-reference objective image sharpness metric based on the notion of just noticeable blur (JNB),” IEEE Trans. Image Process., vol. 18, no. 4, pp. 717– 728, Apr. 2009. [5]. S. Varadarajan and L. J. Karam, “An improved perception- based noreference objective image sharpness metric using iterative edge refinement,” in Proc. 15th IEEE Int. Conf. Image Process., Oct. 2008, pp. 401–404. [6]. Z. Yi, C. Zhiguo, and X. Yang, “Multi-spectral remote image registration based on sift,” Electronics Letters, vol. 44, no. 2, pp. 107–108, 2008. [7]. B. K. Veduruparthi, J. Mukherjee, P. P. Das, S. Chatterjee, S. Ray and P. Sen, "Multimodal image registration of lung images," 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), Patna, India, 2015, pp. 1-4. [8]. M. Vermandel, G. Baert, N. Reyns and N. Betrouni, "Phantom and non-rigid registration to tackle distorsions from MRI in stereotactic conditions: Proof of concept and preliminary results," 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), New York, NY, 2015, pp. 1061-1064. [9]. E. Wood, T. Baltruaitis, X. Zhang, Y. Sugano, P. Robinson and A. Bulling, "Rendering of Eyes for Eye-Shape Registration and Gaze Estimation," 2015 IEEE International Conference on Computer Vision (ICCV), Santiago, 2015, pp. 3756-3764. [10]. S. Conjeti, M. Yigitsoy, D. Sheet, J. Chatterjee, N. Navab and A. Katouzian, "Mutually coherent structural representation for image registration through joint manifold embedding and alignment," 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), New York, NY, 2015, pp. 601-604. [11]. Q. Zhang, Z. Cao, Z. Hu, Y. Jia and X. Wu, "Joint Image Registration and Fusion for Panchromatic and Multispectral Images," in IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 3, pp. 467-471, March 2015. [12]. B. Zitova and J. Flusser, “Image registration methods: A survey,” Image Vis. Comput., vol. 21, no. 11, pp. 977–1000, Oct. 2003. [13]. L. G. Brown, “A survey of image registration techniques,” ACM Comput.Surv., vol. 24, no. 4, pp. 325–376, Apr. 1992 [14]. J. Flusser and T. Suk, “A moment-based approach to registration of images with Affine geometric distortion,” IEEE Trans. Geosci. Remote Sens.,vol. 32, no. 2, pp. 382–387, Mar. 1994. [15]. P. J. Besl and N. D. McKay, “A method for registration of 3-D shapes,”IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, no. 2,pp. 239–256, Feb. 1992. [16]. R.D. Eastman, N.S. Netanyahu and L.M. Jacqueline, Survey of Image Registration Methods, Cambridge University Press, 2011. [17]. H. Kalinic, S. Loncaric and B. Bijnens, “Absolute joint moments: a novel image similarity measure”, EURASIP Journal on Image and Video Processing, vol 24, 2013. [18]. W.K. Pratt, “Correlation Techniques of image registration”, IEEE Transactions on Aerospace and Electronic Systems, vol. 10, no. 3, May 1974. [19]. W.P. Pratt, Digital Image Processing, John Willey and Sons, 2001.
Mohammed Fazal Elahi, Md Aftab Alam, Aarif Miyan "A Novel Technique for Fusion of IR and CCD Image Using Sift and WPT Algorithm" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 10, pp.66-72 2016
With the ever increasing popularity and demand for mobile applications, there has been a significant increase in the number of mobile application development projects. Highly volatile requirements of mobile applications require adaptive software development methods. The Agile approach is seen as a natural fit for mobile application and there is a need to explore various Agile methodologies for the development of mobile applications. This paper evaluates how adopting the Agile approach improves the development of mobile applications and if they can be used in order to provide more tailor-made process improvements within an organization. A case study on the music streaming application 'Spotify' shows how the agile methodology was implemented to deliver a commercially successful mobile based application. The findings of the study show the Agile methods have the potential to help deliver enhanced speed and quality for mobile application development.
- Page(s): 73-77
- Date of Publication: 06 November 2016
- Vaishnavi PatilStudent (B.E. in Computers), Fr. Conceicao Rodrigues Institute of Technology, Navi Mumbai, Maharashtra
- Sanjana PanickerStudent (B.E. in Computers), Fr. Conceicao Rodrigues Institute of Technology, Navi Mumbai, Maharashtra
- Maitreyi KVStudent (B.E. in Computers), Fr. Conceicao Rodrigues Institute of Technology, Navi Mumbai, Maharashtra
References
[1]. Agilemethodology.org. (2016). The Agile Movement. [online] Available at: https://agilemethodology.org/ [Accessed 20 Oct. 2016]. [2]. Msdn.microsoft.com. (2016). Agile Principles and Values, by Jeff Sutherland. [online] Available at: https://msdn.microsoft.com/enus/ library/dd997578(v=vs.120).aspx [Accessed 20 Oct. 2016]. [3]. Anon, (2016). [online] Available at: https://www.agilemodeling.com/essays/introductionToAM.html [Accessed 20 Oct. 2016]. [4]. Agilemodeling.com. (2016). Agile Architecture: Strategies for Scaling Agile Development. [online] Available at: https://agilemodeling.com/essays/agileArchitecture.htm [Accessed 20 Oct. 2016]. [5]. Characteristics of agile methodology https://www.unf.edu/~broggio/cen6940/ComparisonAgileTradition al.pdf [6]. S. Shahid, "Agile Methodology For Mobile Application Development", LinkedIn, 2016. [Online]. Available: https://www.linkedin.com/pulse/agile-methodology-mobileapplication- development-salman-shahid. [Accessed: 20- Oct- 2016]. [7]. "Experts: Rethink Mobile App Development or Fail -- Visual Studio Magazine", Visual Studio Magazine, 2014. [Online]. Available: https://visualstudiomagazine.com/articles/2014/09/10/expertsmobile- app-success.aspx. [Accessed: 20- Oct- 2016]. [8]. "Gartner Says Traditional Development Practices Will Fail for Mobile Apps", Gartner.com, 2016. [Online]. Available: https://www.gartner.com/newsroom/id/2823619. [Accessed: 20- Oct- 2016]. [9]. "New Mobile App Dev Puts Pressure On IT Team - CXOtoday.com", Cxotoday.com, 2016. [Online]. Available: https://www.cxotoday.com/story/mobile-apps-needs-newdevelopment- methods/. [Accessed: 20- Oct- 2016]. [10]. H. Alvarez, "4 Ways to Test Your Product In the Wild | UserTesting Blog", UserTesting Blog, 2015. [Online]. Available: https://www.usertesting.com/blog/2015/02/26/test-in-the-wild/. [Accessed: 20- Oct- 2016]. [11]. The Sandish Report, Waterfall Vs. Agile. 2012. [12]. "Worldwide Smartphone Growth Forecast to Slow to 3.1% in 2016 as Focus Shifts to Device Lifecycles, According to IDC", www.idc.com, 2016. [Online]. Available: https://www.idc.com/getdoc.jsp?containerId=prUS41425416. [Accessed: 20- Oct- 2016]. [13]. "Instagram, the Titanic, and Agile Product Development", Blog.bcaresearch.com, 2016. [Online]. Available: https://blog.bcaresearch.com/instagram-the-titanic-and-agileproduct- development. [Accessed: 20- Oct- 2016]. [14]. H. Kniberg and A. Ivarsson, Scaling Agile @ Spotify with Tribes, Squads, Chapters & Guilds, 1st ed. Spotify, 2012, p. Oct 2012.atthe- spotify-engineering-culture/ [15]. Ulf Eriksson, How Spotify does agile – A look at the Spotify engineering culture (31 March, 2015)https://reqtest.com/blog/howspotify- does-agile-a-look-at-the-spotify-engineering-culture/
Vaishnavi Patil, Sanjana Panicker, Maitreyi KV "Use of Agile Methodology for Mobile Applications" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.5 issue 10, pp.73-77 2016