Haploid plants were regenerated from the anther callus of banana Musa paradisiaca (AB) cv. Puttabale. The highest frequency of callus induction (90%) was observed at the concentration of 3mg/l 2, 4-D . After 20 days of incubation organization of embyroids were organised from the callus mass. Interaction of 4mg/l BAP and 0.4 mg/l IAA provoked shoot growth of the embryoids and well organised roots were developed at the concentration of 0.6 mg/l NAA and the media was agumented with 0.2% activated charcoal. Flow cytometry study was carried out to analyse the DNA content of the regenerated haploid plants. The results of the investigation reported the efficient production of haploid plants from the anther culture.
- Page(s): 01-05
- Date of Publication: 20 March 2017
- K. Girish KumarDepartment of P. G. Studies and Research in Biotechnology, Bioscience Block, Kuvempu University, Jnana Sahyadri, Shankaraghatta 577 451, Shivamogga (Dist.), Karnataka, India
- V. KrishnaDepartment of P. G. Studies and Research in Biotechnology, Bioscience Block, Kuvempu University, Jnana Sahyadri, Shankaraghatta 577 451, Shivamogga (Dist.), Karnataka, India
- VenkateshDepartment of Biochemistry Indian Institute of Science Bangalore. Karnataka, India
- R. ShashikumarDepartment of P. G. Studies and Research in Biotechnology, Bioscience Block, Kuvempu University, Jnana Sahyadri, Shankaraghatta 577 451, Shivamogga (Dist.), Karnataka, India
- H. S. ArunodayaDepartment of P. G. Studies and Research in Biotechnology, Bioscience Block, Kuvempu University, Jnana Sahyadri, Shankaraghatta 577 451, Shivamogga (Dist.), Karnataka, India
References
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Barow M, Jovtchev G (2007) Endopolyploidy in plants and its analysis by flow cytometry.In: Dolezel J, Greilhuber J, Suda J (eds) Flow cytometry with plant cells. Wiley, Weinheim,Bronsema F, Van O, Prinsen E, Van L(1998)., Distribution of (14C) dichlorophenoxyacetic acid in cultured zygotic embryos of Zea mays L., JPlant Growth Regul.,17:81–88. [6]. Barow M, Jovtchev G (2007) Endopolyploidy in plants and its analysis by flow cytometry. In: Dolezel J, Greilhuber J, Suda J (eds) Flow cytometry with plant cells. Wiley, Weinheim, pp 349–372. [7]. Chen Z, Qian C, Qin M, Xu X, Xiao Y (1982) Recent advances in anther culture of Hevea brasiliensis (Muell.-Arg.). Theor Appl Genet 62:103–108. [8]. Clarindo WR, de Carvalho CR, Arau´jo FS, de Abreu IS, Otoni WC (2008) Recovering polyploid papaya in vitro regenerants as screened by flow cytometry. Plant Cell Tissue Organ Cult 92:207–214. [9]. 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K. Girish Kumar, V. Krishna, Venkatesh, R. Shashikumar, H. S. Arunodaya "Production of Haploids Plants from Anther Culture of Musa Paradisiaca cv. ‘Puttabale’" International Journal of Research and Scientific Innovation-(IJRSI) vol.4 issue 3, pp.01-05 2017
This proposal intends to address the practical vulnerabilities in the state-of-the-art models for optimal design of supply chain network. While the conventional models attempt to transform the design constraints of the supply chain network into sum of cost functions, the proposed model will transform the cost function into a nonlinear subspace. Moreover, the subspace will be optimized under a logarithmic scale and so the multiple network constraints such as stock transportation, inventory, echelon levels and backorders can be mapped within the subspace. Subsequently, robust optimization algorithms based on biological inspiration will be proposed. The optimization algorithms will be included with adaptiveness and so the nonlinear cost function can be solved effectively. The adaptiveness will be mainly based on the ability of handing every network constraints such as echelon levels, inventory, etc.
- Page(s): 06-09
- Date of Publication: 20 March 2017
- Santosh BalgarDepartment of Mechanical Engineering, Appa Institute of Engineering & Technology, Kalaburgi, Karnataka
- Dr M S UppinDepartment I & P Engineering, PDA College of Engineering, Kalaburgi, Karnataka
References
[1]. Masakatsu Mori, Ryoji Kobayashi, Masaki Samejima, and Norihisa Komodal,"Risk-cost optimization for procurement planning in multi-tier supply chain by Pareto Local Search with relaxed acceptance criterion", European Journal of Operational Research, January 2017. [2]. Kartina Puji Nurjanni, Maria S. Carvalho, and Lino Costa, "Green supply chain design: A mathematical modeling approach based on a multi-objective optimization model", International Journal of Production Economics, vol.183, pp. 421-432, January 2017. [3]. Amin Aalaei and Hamid Davoudpour, "A robust optimization model for cellular manufacturing system into supply chain management", International Journal of Production Economics, vol.183, pp. 667-679, January 2017. [4]. Esmaeil Keyvanshokooh, Sarah M. Ryan, and Elnaz Kabir, "Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition", European Journal of Operational Research, vol.249, no.1, pp. 76–92, February 2016. [5]. Eren Özceylan, "Simultaneous optimization of closed- and open-loop supply chain networks with common components", Journal of Manufacturing Systems, vol.41, no.1, pp.143-156 , October 2016. [6]. Rui Zhao, Yiyun Liu, Ning Zhang, and Tao Huang, "An optimization model for green supply chain management by using a big data analytic approach",ournal of Cleaner Production, vol.142, pp.1085-1097,January 2017. [7]. Stephan M. Wagner and Christoph Bode, "An empirical investigation into supply chain vulnerability",Journal of Purchasing and Supply Management,, vol.12,no.6, pp.301-312,November 2006. [8]. A. Michael Knemeyer, Walter Zinn, and Cuneyt Eroglu, "Proactive planning for catastrophic events in supply chains",Journal of Operations Management, vol.27,no.2, pp.141-153,April 2009. [9]. S. Chopra and M. Sodhi, "Managing risk to avoid supply chain breakdown",MIT Sloan Management Review, vol.46,no.1, pp.53–61,2004. [10]. P.R. Kleindorfer, and G. H. Saad, "Managing disruption risks in supply chains", Production and Operations Management, vol.14,no.1, pp.53–68,2005. [11]. T. Sawik, "Selection of a dynamic supply portfolio in make-to-order environment with risks", Computers & Operations Research, vol.38,no.4, pp.782 – 796,2011. [12]. D. L. Olson and D. D.Wu, "A review of enterprise risk management in supply chain",Kybernetes, vol.39,no.5, pp.694–706,2010. [13]. P. Ray and M. Jenamani, "Mean-variance analysis of sourcing decision under disruption risk", European Journal of Operational Research, vol.250,no.2, pp.679 – 689,2016. [14]. R. Rocchetta, Y. Li and E. Zio, "Risk assessment and risk-cost optimization of distributed power generation systems considering extreme weather conditions”, Reliability Engineering & System Safety, vol.136,no.2, pp.47 – 61,2015. [15]. S. H. R. Pasandideh, S. T. A. Niaki and K. Asadi, "Bi-objective optimization of a multi-product multi-period three-echelon supply chain problem under uncertain environments: Nsga-ii and {NRGA}",Information Sciences, vol.292,no.2, pp.57 – 74,2015. [16]. A. Alsheddy and E. E. P. K. Tsang, "Guided pareto local search based frameworks for biobjective optimization",Congress on Evolutionary Computation, pp1-8,2010. [17]. Turan PaksoyEren ÖzceylanEmail authorGerhard-Wilhelm Weber, "Profit oriented supply chain network optimization", Central European Journal of Operations Research, vol.21,no.2, pp455-478,2013. [18]. Feng Pan and Rakesh Nagi, "Robust supply chain design under uncertain demand in agile manufacturing", Computers & Operations Research, vol.37,no.4, pp. 668–683,2010. [19]. Amin Aalaei and Hamid Davoudpou, "Two bounds for integrating the virtual dynamic cellular manufacturing problem into supply chain management", Journal of Industrial and Management Optimization, vol.12,no.3, pp. 907–930,2016. [20]. S. PrasannaVenkatesan and S. Kumanan, "Multi-objective supply chain sourcing strategy design under risk using pso and simulation",The International Journal of Advanced Manufacturing Technology, vol.61,no.1, pp.325–337,2012. [21]. M.J.Asgharpour and N.Javadian, "Solving a stochastic cellular manufacturing model using genetic algorithm", International Journal of Industrial Engineering Transactions A: Basics, vol.17, no.2, pp. 145-156, 2004. [22]. Chian-Son Yu and Han-Lin Li, "A robust optimization model for stochastic logistic problems", International Journal of Production Economics, vol.64,no.1-3, pp. 385-397, 2000. [23]. Chunxiang Guoa, XiaoliLiua, MaozhuJina, and ZhihanLv, " The research on optimization of auto supply chain network robust model under macroeconomic fluctuations ", Chaos, Solitons and Fractals-Nonlinear Science, and Nonequilibrium and Complex Phenomena, vol. 89, pp. 105–114, August 2016. [24]. Tal Avinadav, ,Tatyana Chernonog, and Yael Perlman, " The effect of risk sensitivity on a supply chain of mobile applications under a consignment contract with revenue sharing and quality investment ", International Journal of Production Economics, vol. 168,no.18, pp. 31–40, October 2015. [25]. Özceylan E, Paksoy T and Bektas¸ T, "Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing", Transportation Research Part E: Logistics and Transportation Review, vol.61, pp142–164,January 2014.
Santosh Balgar, Dr M S Uppin "Design and Optimization of Supply Chain Network with Nonlinear Log-Space Modelling and Adaptive Optimization Algorithms" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 3, pp.06-09 2017
Our research paper is aimed for developing an industrial oriented Embedded Serial Data for protocol conversion. At present, many industrial establishments face the problem of protocol compatibility with the external monitoring devices. This problem has been solved by this paper. We have successfully deployed it for monitoring parameters of AC drive by GSM module. Here, PIC18F4550 Microcontroller works as Master and AC Drive works as slave. RTU Master Command message transmits from the PIC microcontroller and from AC Drive RTU Slave response message will come as current Frequency. The data which receives from Drive will display on LCD display and the same data will send to user by GSM Module.
- Page(s): 10-13
- Date of Publication: 20 March 2017
- Kunal Yogeshkumar Parikh R & D Engineer, Department of R & D, Hermes Technologies PVT LTD, Gandhinagar, Gujarat, India
- Hiren Dave R & D Engineer, Department of R & D, Hermes Technologies PVT LTD, Gandhinagar, Gujarat, India
- Nitish Kareliya R & D Engineer, Department of R & D, Hermes Technologies PVT LTD, Gandhinagar, Gujarat, India
- Brajesh Kumar Director, Hermes Technologies PVT LTD, Gandhinagar, Gujarat, India
- Vijay Raval Director, Hermes Technologies PVT LTD, Gandhinagar, Gujarat, India
References
[1]. M.A. Mazidi, R. McKinley and D. Causey, PIC Microcontroller and Embedded Systems: Using Assemble and C for PIC, ISBN: 0-13-600902-6, 2008 [2]. PIC18F2455/2550/4455/4550 Data Sheet from Microchip Technology Inc, DS39632C, 2006 [3]. Umesh Goyal, Gaurav Khurana, “Implementing MOD bus and CAN bus Protocol Conversion Interface”, International Journal of Engineering Trends and Technology (IJETT) - Volume4 Issue4 - April 2013 [4]. Sangeetha.V, Vinothini.V, “Microcontroller based Modbus Protocol Converter using PIC 17C756”, International Journal of New Trends in Electronics and Communication (IJNTEC—ISSN: 2347 - 7334) Vol. 2, Issue. 1, Jan. 2014 [5]. V.Ramya, B. Palaniappan, V.Sumathi, “GSM based embedded system for remote laboratory safety monitoring and alerting”, IJDPS, Vol.3, No.6, November 2012 [6]. MPLAB® ICD 3 In-Circuit Debugger User’s Guide For MPLAB X IDE from Microchip Technology Inc, DS52081A, 2012 [7]. PICkit™ 3 Programmer/Debugger User’s Guide from Microchip Technology Inc, DS51795A, 2009
Kunal Yogeshkumar Parikh, Hiren Dave, Nitish Kareliya, Brajesh Kumar, Vijay Raval "Monitoring AC Drive by using RS485 & GSM Module" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 3, pp.10-13 2017
Osteoporosis is a thinning of the bone that leads to fracture with minimum force. It affects postmenopausal women and elderly of both genders. Bone Mineral Density (BMD) is one of the parameter related to bone strength. Dual Energy X-ray Absorptiometry (DXA) is currently considered as the “gold standard” for measuring BMD.To evaluate osteoporosis in postmenopausal women using low-cost digital hip radiograph in comparison with DXA as a gold standard; i) To evaluate the morphometry of proximal femur using digital radiograph in the diagnosing osteoporosis in Indian women. ii) To evaluate the morphometry of metacarpal using digital radiograph in the diagnosing osteoporosis in Indian women. iii) To evaluate the loss of trabeculae in the proximal femur using Singh’s index in Indian women. iv) To estimate of volumetric trabeculae at Neck of the Femur in the Evaluation of Osteoporosis. v) To calculate the energy at neck of the proximal femur using image processing technique.A free medical screening camp for osteoporosis was conducted at SRM Medical College and Research Institute. A total number of 50 (n=50) Indian women, 18 healthy pre menopausal women (n=18, 36.3 ± 8.7 years) and 32 post menopausal women (n=32, 58 ± 9.1 years) whose age ranged from 20- 85 years were included. A standard digital radiograph of the right hip was obtained in all study Indian women using a digital x-ray machine. The results obtained by DXA found that 20% and 34% of the Indian women were having osteoporosis and osteopenia respectively. The mean values of ratio of femoral length to femoral width (BC/DE), thickness of the medial Shaft Cortex (SC), width of the Acetabular bone (AW), lesser trochanter thickness of the Medial cortex (NC), and ratio of hip axis length to femoral width (AC/DE) were lesser in the osteoporotic Indian women than in normal Indian women. These values were found to be decreased by - 29%, -23%, -17%, -15%, and -10% respectively, when comparing to normal Indian women. The mean values of metacarpal index of all the five were decreased in osteoporotic patients by cortical thickness (D-d) and relative cortical thickness (D-d)/D was -31% -30.7% respectively, when comparing to normal Indian women. The femur neck and total hip BMD and Singh’s index were lesser by 41.6% and 33.7%,40% (p<0.01) respectively in osteoporotic post-menopausal women, comparing to normal post-menopausal women. The mean values of area and the volume of the proximal neck were decreased -20% and -21% in the osteoporotic Indian women than in normal Indian women.
- Page(s): 14-20
- Date of Publication: 20 March 2017
- Shankar NAssistant Professor, Department of Biomedical Engineering, Alpha College of Engineering, Thirumazhisai, India
- Sathish BabuAssistant Professor, Department of E & I, Annamalai University, Chidabaram, India
- Liya Achamma SimonAlpha College of Engineering, Thirumazhisai, India
- Greeshma PhilipAlpha College of Engineering, Thirumazhisai, India
- N.VanajaAlpha College of Engineering, Thirumazhisai, India
[1]. Ashwini Bhalearao Gandhi, Ashok Kumar R Shukla, “Evaluation of BMD of women above 40 years of age”, J Obstet Gynecol India., 2005, 55(3),pp: 265-267. [2]. [Online], Available: http://www.iobbonehealth.org/factsand-statistics.html. [Accessed on 30th September 2010] [3]. J.T. Pramudito, S. Soegijoko, T.R. Mengko, F.I. Muchtadi, R.G. Wachjudi, “Trabecular Pattern Analysis of Proximal Femur Radiographs for Osteoporosis Detection”, J. Biomed. & Pharma. Eng., 2007, 1(1), pp: 45-51 [4]. Hui SL, Slemenda CW, Johnston CCJr, ‘Age and bone mass as predictors of fracture in a prospective study’, J. Clin. Invest., 1988, 81, pp: 1804-1809. [5]. Chapuy MC, Arlot ME, Dubocuf F, Brun J, Crouzet B, Arnaud S, Delmas PD, Meunier PJ, ‘Vitamin D3 and calcium to prevent hip fractures in elderly women’, N. Engl. J. Med., 1992, 327, pp: 1637-1642. [6]. Tothil P, ‘Methods of bone mineral measurement-review article’, Phys Med Biol., 1989, 34, pp: 543-572. [7]. Anburajan M, “Evaluation of osteoporosis using conventional radiographic methods and dual energy x-ray absorptiometry”, PhD Thesis, Anna University, Chennai, 1999. [8]. Gluer CC, Cummings SR, Pressman A, Li J, Gluer K, Faulkner KG, Grampp S, Geant HK, “Prediction of hip fractures from pelvic radiographs: the study of osteoporotic fractures”, J Bone Min. Res., 1994, 9, pp: 671-677. [9]. Soontrapa S, Soontrapa S, Srinakarin J, Chowchuene P, “Singh index screening for femoral neck osteoporosis”, Khon Kaen University 2005. [10]. [Online], Available: http://www.medassocthai.org/journal. [Accessed on 30th September 2010] [11]. [Online], Available: http://en.wikipedia.org/wiki/digital_x-ray_radiogrammetry. [Accessed on 30th September 2010] [12]. Jennifer S. Gregory, Richard Aspden M,”Femoral geometry as a risk factor for osteoporotic hip fracture in men and women”, J Med. Eng. Phy., 30, 2008. [13]. Faulkner KG, Cummings SR, Black D palemol Gliier CC, Genant HK, “Simple Measurements of femoral geometry predicts hip fracture, the study of osteoporotic fracture”, J Bone Res., 1993, 8, pp: 127. [14]. Dretakis EK Papakistou E , Kontakis GM Dretakis K , Psarakis S, Streiopoulos KA, “Bone mineral density, Body mass index and hip axis length in post menopausal cretan women with cervical and trochanteric fractures”, J Cal. Tissue Int, 1999, 64, pp: 257-258. [15]. Anburajan M, Rethinasabapathi C, Paul Korath M, Ponnappa BG, Paul Korath M, Jagadeesan K, “Evaluation of post-menopausal osteoporosis using DXA, Singh's index, radiographic hip geometry, and serum biochemical analysis: a comparison”, JIMSA, 2001; 14: 186-190. [16]. Masud T, Jawed S, Doyle D, Spector TD, “A population study of the screening potential of assessment of trabecular pattern of the femoral neck (Singh’s index): the Chingford study”, Br. J. Radiol., vol.68, pp. 389-393, 1995. [17]. Hauschild, Ghanem N, Oberst M, Baumann T, Kreuz PC, Langer M, Suedkamp NP, Niemeyer P, “Evaluation of Singh index for assessment of osteoporosis using digital radiography”, Ebub., vol-71, no. 1, pp:152-158 2008. [18]. Koot VCM, Kesselaer SM, Clevers GJ, Dehooge P, Wetts T, Chr. Vander Werken, “Evaluation of the Singh Index for measuring osteoporosis”, vol. 78-B, no. 5, pp:831-834, 1996. [19]. Chung CY, Son YC, Bae JB, Park BJ, “Evaluation of the Singh index for measurement of osteoporosis”, J Osteoporosis Int., vol.34, no.5, pp.871-875, 1999. [20]. Singh M, Nagrath AR, Maini PS, “Changes in trabecular pattern of the upper end of the femur as an index of osteoporosis. J Bone Joint Surg Am., vol. 52, pp. 457-67, 1970.
Shankar N, Dr. Sathish Babu, Liya Achamma Simon, Greeshma Philip, N.Vanaja "Comparison of X-ray and DXA for Evaluating Osteoporosis” International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 3, pp.14-20 2017
Mobile Ad hoc networks (MANETs) are power constrained since nodes are operated with limited battery supply. The important technical challenge is to avoid the node overutilization and increase the energy efficiency of each node with increasing traffic. If a node runs out of battery, its ability to route the traffic gets affected and hence, the network lifetime. There has been considerable progress in the battery technology, but not in par with the semiconductor technology. There are various techniques adopt the different approaches to achieve energy efficiency. The proposed approach uses a cost metric for path selection, which is a function of residual battery and current traffic load at a node. Further, the simulation and performance is carried through Qualnet network simulator. From the simulation results, it is observed that the proposed scheme has lower node overutilization with the less CBR connections.
- Page(s):21-24
- Date of Publication: 20 March 2017
- Shridhar KabburDepartment of ECE Global Academy of Technology Bengaluru-560098 .
- Rajashri Y MDepartment of ECE Global Academy of Technology Bengaluru-560098 .
References
[[1]. M. Tarique, K. E. Tepe, S. Adibi, and S. Erfani, “Survey of multipath routing protocols for mobile ad hoc networks,” Journal of Network and Computer Applications, vol. 32, no. 6, pp. 1125–1143, 2009. [2]. B. Vaidya, J. Pyun, J. Park, and S. Han, “Secure multipath routing Scheme for mobile ad hoc network,” Third IEEE International Symposium on Dependable, Autonomic and Secure Computing, IEEE, pp.163–171, 2007. [3]. L. Reddeppa Reddy and S. Raghavan, “Smort: Scalable multipath on demand routing for mobile ad hoc networks,” Ad Hoc Networks, vol. 5,no. 2, pp. 162–188, 2007. [4]. M. K. Marina and S. R. Das, “Ad hoc on-demand multipath distance Vector routing,” Wireless Communications and Mobile Computing, vol. 6, no. 7, pp. 969–988, 2006 [5]. C. E. Perkins and E. M. Royer, “Ad-hoc on-demand distance vector routing,” Second IEEE Workshop on Mobile Computing Systems and Applications, pp. 90–100, 1999. [6]. P. Periyasamy and E. Karthikeyan, “Survey of current multipath routing Protocols for mobile ad hoc networks,” International Journal of Computer Network and Information Security (IJCNIS), vol. 5, no. 12, p. 68,2013. [7]. C. Perkins, E. Belding-Royer, S. Das et al., “Rfc 3561-ad hoc on demand Distance vector (aodv) routing,” Internet RFCs, pp. 1–38, 2003. [8]. M. Tarique, K. E. Tepe, S. Adibi, and S. Erfani, “Survey of multipath Routing protocols for mobile ad hoc networks,” Journal of Network and Computer Applications, vol. 32, no.6, pp. 1125–1143, 2009. [9]. N. K. Ray, “Techniques to enhance the lifetime of mobile ad hoc Networks,” Ph.D. dissertation, 2013. [10]. Mohammed M. Energy,” efficient location aided routing protocol for Wireless MANETs” (IJCSIS) International Journal of Computer Science and Information Security Vol. 4, No. 1 & 2, 2009.
Shridhar Kabbur, Rajashri Y M "Performance of CBR Traffic on Node Overutilization in MANETs" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 3, pp.21-24 2017
Conventional non-vision based navigation systems relying on purely Global Positioning System (GPS) or inertial sensors can provide the 3D position or orientation of the user. However GPS is often not available in forested regions and cannot be used indoors. Visual odometry provides an independent method to estimate position and orientation of the user/system based on the images captured by the moving user accurately. Vision based systems also provide information (e.g. images, 3D location of landmarks, detection of scene objects) about the scene that the user is looking at. In this project, a set of techniques are used for the accurate pose and position estimation of the moving vehicle for autonomous navigation using the images obtained from two cameras placed at two different locations of the same area on the top of the vehicle. These cases are referred to as stereo vision. Stereo vision provides a method for the 3D reconstruction of the environment which is required for pose and position estimation. Firstly, a set of images are captured. The Harris corner detector is utilized to automatically extract a set of feature points from the images and then feature matching is done using correlation based matching. Triangulation is applied on feature points to find the 3D co-ordinates. Next, a new set of images is captured. Then repeat the same technique for the new set of images too. Finally, by using the 3D feature points, obtained from the first set of images and the new set of images, the pose and position estimation of moving vehicle is done using QUEST algorithm.
- Page(s): 25-30
- Date of Publication: 20 March 2017
- Rashmi K V
Reference
[1]. Zhhiwei Zhu, Taragay Oskiper, Oleg Naroditsky, Supun Samarasekera, Harpreet, Singh Sawhney, Rakesh Kumar, “Stereo- based visual odometry method and system”, United States Patent Application Publication, Pub. No US 2008/0144925 a1, Pub. Date Jun.19, 2008. [2]. “Introductory Techniques for 3D Computer Vision”, E.Trucco, A. Verri, Prentice Hall Inc., 7th chapter pp-139-186, 1998. [3]. “An Introduction to 3D Computer Vision Techniques and Algorithms”, Boguslaw Cyganek, J Paul Sibert, Wiley Publication, Pub. No ISBN: 978-0-470-01704-3, Pub. Year 2009. [4]. Andrea Fusiello, Emanuele Trucco and Alessandro Verri, “A compact algorithm for rectification of stereo pairs”, Machine Vision and Applications 12,Springer-Verlag, Page no.16-22, Pub, Year 2000. [5]. “Image Processing, Analysis, and Machine Vision”, Milan Sonka, Vaclav Hlavac, Roger Boyle, 9th chapter, pp-441-502, Pub. No ISBN-0-534-95393-X, Pub. Year 1998. [6]. Chris Harris and Mike Stephens, “A Combined corner and edge detector”, Plessy Research Roke Manor, United Kingdom, The Plessy company, Pub. Year 1988. [7]. M. D. Shuster and S.D. Oh, “Three-Axis Attitude Determination from Vector Observations”, Computer Sciences Corporation, Silver Spring, Md., VOL. 4, NO. 1, Pub. Year 1981. [8]. F. Landis Markley, “Fast quaternion attitude estimation from two vector measurements”, Guidance, Navigation, and Control Systems Engineering Branch, Code 571, NASA's Goddard Space Flight Center, Greenbelt, MD 20771, Pub. Year 1981.
Rashmi K V "Visual Odometry using Stereo Vision" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 3, pp.25-30 2017
Efficient Storm water network is the main tool to prevent the water gatheration and scattering of a city. Selecting the Bharkawada as study area and its problem was identified to be of very less effective drainage system. In this study methods have been adopted to identify the possibilities of completing the research for designing the storm water drainage design. Our main aim is to design a very efficient and rpid drainage system which should drain the water very fastly with less concentration time and less spreading of water with less provision of slope. The present design is based on rainfall data. Past 30 years rainfall data has been taken for study. The system has been designed considering in total of 65% of the impervious area. Estimated rainfall intensity has been calculated as 33.02527 mm/hour with a recurrence interval of 2 years from the detailed analysis of rainfall data of 34 years. Rainfall Intensity is estimated after frequency analysis of the rainfall data. The calculated runoff is 25.056 m3/s, which can be used as a design discharge for network designing. Different methods can be used for runoff estimation. Here, Rational method seems to be best for use in estimation of storm water runoff. The outfalls of system are directed to proposed lakes. Ere at this stage rainfall calculations have been done and in future work complete rainfall and runoff analysis will be carried out for storm water network..
- Page(s): 31-35
- Date of Publication: 20 March 2017
- Utkarsh NigamAssistant Professor Smt. S. R. Patel Engineering College, Unjha, Mehsana, Gujarat.
- Ankit PrajapatiU.G. Scholar, Smt. S. R. Patel Engineering College, Unjha, Mehsana, Gujarat.
- Metiya H.U.G. Scholar, Smt. S. R. Patel Engineering College, Unjha, Mehsana, Gujarat.
- Prajapati AkashU.G. Scholar, Smt. S. R. Patel Engineering College, Unjha, Mehsana, Gujarat.
- JayPatelU.G. Scholar, Smt. S. R. Patel Engineering College, Unjha, Mehsana, Gujarat.
References
[1]. Agnihotri P.G., Khasiya R. B., Harpalani Priyanka (2013), ― Analysis of Rainfall Data and Design of Storm Water Drainage System in an Urban Area.‖ Global Journal For Research Analysis, Vol. 2, pp. 100-104. [2]. Ankit Balvanshi et.Al. (2007), A comprehensive Review of Runoff Estimation by CN method, International Journal of Innovative Research in Science,Engineering and Technology(An ISO 3297: 2007 Certified Organization)Vol. 3, Issue 11. [3]. CPHEEO Manual, Manual on sewerage and sewage treatment (second edition), Table-3.3, Page-45. [4]. Gaurav Ninama , Pingul Jignesh , Gulshan Yadav, Rahul S. Yadav , S. M. Yadav (2014), Hydraulics, Water Resources, Coastal and Environmental Engineering (HYDRO 2014), pp:1044-1052, ISBN: 978–93 –84935–04–7 [5]. Lamia Abdul Jaleel and Maha Atta Farawn(2013), "Developing Rainfall Intensity-Duration-frequency Relationship For Basrah City.‖ Kufa Journal of Engineering (K.J.E), Vol. 5, pp. 105-112. [6]. Needhidasan.S, Manoj Nallanathel (2013), Design of Storm Water Drains by Rational Method – an Approach to Storm Water Management for Environmental Protection, ISSN : 0975-4024, Vol 5 No 4 Aug-Sep 2013, International Journal of Engineering and Technology (IJET). [7]. Neeraj D.Sharma, Dr. J.N.Patel “Evaluation of Groundwater Quality Index of the Urban Segments of Surat City, India” INTERNATIONAL JOURNAL OF GEOLOGY Issue 1, Volume 4, 2010. [8]. Parekh Harshul, Yadav K.D.,Yadav S.M. and Shah N.C. (2011), ―Remodelling of Bambapada Khadi, Silvassa – A Case Study.‖Proceedings on Workshop on Urban Storm Drain Designing and Modelling (USDDM2011) SVNIT Surat, India, Vol. 1, pp.18-29 [9]. P. Raji et. Al.(2011), Rainfall-Runoff Analysis of a Compacted Area, Agricultural Engineering International: the CIGR Journal, Manuscript No.1547, umber.Vol.13, No.1, 2011. [10]. Rashid M.M. (2012), ―Modelling of Short Duration Rainfall Intensity Duration Frequency (SDRIDF)Equation for Sylhet City in Bangladesh.‖ARPN Journal of Science and Technology, Vol. 2, pp.92-95. [11]. Zameer Ahmed, D. Rammohan Rao, K. Ram Mohan Reddy, Ellam Raj(2012), ―Rainfall intensity VariationFor Observed Data And Derived Data – A Case Study of Imphal.‖ ARPN Journal of Engineering and Applied Sciences, Vol. 7, pp. 1506-1513.
Utkarsh Nigam, Ankit Prajapati, Metiya H., Prajapati Akash, JayPatel "Assessment and Analysis of Maximum Precipitation at Bharkawada Village, Palanpur for Storm Drainage Practices" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 3, pp.31-35 2017
The uncontrollable flow of change in technology these days and use of data, information and knowledge is creating a huge challenges in the front of application User and developer both. Data breaches are happening in every sector and every level of all sectors. These challenges are countless starting from operational to strategic and becoming more challengeable day by day as the penetration of Information technology application among the common man is increasing. Therefore the threat is become real. Everybody customers or companies, retailer or stakeholders , distributor or dealer need assurance; from the provider. corporate face up reputational risks among the user at every step. So there is a need to understand the information technology, a frame work or body which can manage , risks and controls. A body or a system of Privacy management system is which can build a frame work for protection of the data and at the same time can maintain , privacy and agreement issues. This can be done by adoption of a scalable risk-based method which can determine what to be secured and how by performing the certain action.
- Page(s): 36-38
- Date of Publication: 20 March 2017
- Dr. Shankar ChaudharyAssociate Professor, PAHER University Udaipur, Rajasthan, India
References
[1]. http://searchsecurity.techtarget.com/definition/data-breach [2]. http://www.trendmicro.com/vinfo/us/security/definition/data-breach [3]. http://www.trendmicro.com/vinfo/us/security/definition/data-breach [4]. https://www.veracode.com/security/data-breach [5]. http://www.staffs.ac.uk/legal/privacy/ [6]. https://blogs.cisco.com/security/how-to-improve-privacy-as-a-component-of-your-cyber-governance-program [7]. http://encryption.uconn.edu/new [8]. http://identityfinder.uconn.edu/ [9]. http://antivirus.uconn.edu/ [10]. http://searchitchannel.techtarget.com/feature/Five-components-of-a-data-protection-strategy [11]. https://technet.microsoft.com/en-us/library/dn521015(v=sc.12).aspx
Dr. Shankar Chaudhary "Privacy Management System: Protect Data or Perish" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 3, pp.36-38 2017
A composite material is a material system composed of a mixture or combination of two or more micro or macro constituents that differ in form and chemical composition and which are essentially insoluble in each other. Stir casting method is used to fabricate Metal Matrix composites (MMCs) having fly ash in 3, 6, 9 wt% and e-glass fibre in 3 wt%. The dry sliding wear tests were conducted on composite material using a pin-on-disc wear testing setup with a normal pin load of 20N, 40N and 60N, and wear rate for each load is calculated for different sliding speeds. Analytical modelling of composite material is carried out by Taguchi’s design of experiments (DOE) using L27 orthogonal array. The experimental results were transformed into a signal-to-noise (S/N) ratios. Analysis of Variance (ANOVA) was used to determine the design parameters significantly influencing the wear rate of the composite material. Based on the experimental results, a multiple linear regression model was developed. A regression equation thus generated establishes correlation between the significant terms obtained from ANOVA, namely, load, sliding speed, fly ash content and their interactions. In order to validate the regression model, confirmation wear tests were conducted with parameter levels that were different from those used for analysis. The error associated with the relationship between the experimental values and the computed values of the regression model for hybrid composites was around ±5%.
- Page(s): 39-44
- Date of Publication: 20 March 2017
- Dr. Arun Kumar M.B.Department of Mechanical Engineering, D.Y. Patil College of Engineering, Pune, Maharashtra, India .
References
[1] Mondal, D. P., Das, S., Ramakrishnan N., & Uday Bhasker K., “Cenosphere filled aluminium syntactic foam made through stir-casting technique”, Composites Part A: Applied Science and Manufacturing, Vol. 40(3), pp. 279–288, 2008. [2] H. Nami, A. Halvaee, H. Adgi & A. Hadian, “Investigation on microstructure and mechanical properties of diffusion bonded Al/Mg2Si metal matrix composite using copper interlayer Original”, Journal of Materials Processing Technology, Vol. 210, No.10, pp. 1282-1289, 2010. [3] J.W. Kaczmar, K. Pietrzak & W. Włosiński, “The production and application of metal matrix composite materials”, Journal of Materials Processing Technology, Vol. 106, No. 1-3, pp. 58-67, 2000. [4] Sudarshan & Surappa M.K, “Synthesis of fly ash particle reinforced A356 Al composites and their characterization”, Materials Science and Engineering, Vol. A 480, pp. 117-124, 2008. 4 [5] E. Marin, M. Lekka, F. Andreatta, L. Fedrizzi, and A. Moutsatsou, “Electrochemical Behaviour of Aluminium - Fly Ash Composites Produced by Powder Metallurgy Technique”, World of Coal Ash (WOA) Conference, May 9-12, 2011, Denver, USA. [6] J. Hashim, L. Loony & M.S.J. Hashmi, ”The Wettability of SiC Particles by Molten Aluminium alloy”, Journal of Materials Processing Technology, Vol. 119, pp. 324-328, 2001. [7] Ashok Kumar Sahoo & Swastik Pradhan, “Modeling and optimization of Al/SiCp MMC machining using Taguchi approach” Measurement, Vol. 46, No. 9, pp. 3064-3072, 2013. [8] S. Basavarajappa & G. Chandramohan, “Wear studies on metal matrix composites: A Taguchi Approach”, Journal of Material Science Technology, Vol. 21, No. 6, pp. 845-850, 2005. [9] Ferit Fecici, Murat Kapsiz & Mesut Duray, “APllications of Taguchi design method to study wear behaviour of boronized AISI 1040 steel”, Int. Journal of Physical Sciences, Vol. 6, No. 2, pp. 237-243, 2011. [10] N. Radhika, R. Subramanian & S. Venkat Prasat, “Tribological behaviour of Aluminium/Alumina/Graphite Hybrid metal matrix composite using Taguchi’s Techniques”, Journal of Mineral & Material characterization & Engineering, Vol. 10, No. 5, pp. 427-443, 2011. [11] S. S. Mahapatra, “Modelling and analysis of erosion wear behaviour of hybrid composites using Taguchi experimental design”, Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, Vol. 224, No. 2, pp. 157–167, 2010. [12] Bhaskar H.B. & Abdul Sharief, “The optimization of sliding wear behaviour of Aluminium/Be3Al2(SiO3)6 Composite using Taguchi Approach”, Int. Jout=rnal of Engineering Research and Applications, Vol. 2, No. 2, pp.64-67, 2012. [13] Amar Patnaik, Alok Satapathy, S.S. Mahapatra & R.R. Dash, “Modeling and Prediction of Erosion Response of Glass Reinforced Polyester-Flyash Composites”, Journal of Reinforced plastics and Composites, Vol. 28, No. 5, pp.513-536, 2009. [14] S.R. Chauhan, Anoop Kumar, I. Singh & Prashant Kumar, “Effect of Fly ash content on friction and dry sliding wear behaviour of glass fiber reinforced polymer composites – A Taguchi approach”, Journal of Mineral & Material characterization & Engineering, Vol. 9, No. 4, pp. 365-387, 2010. [15] D. Ramesh, R.P. Swamy & T.K. Chandrashekar, “Effect Of Weight Percentage On Mechanical Properties Of Frit Particulate Reinforced Al6061 Composite”, Journal of Engineering and Applied Science, Vol. 5, No. 1, pp. 32-36, 2010. [16] Arun Kumar M. B., R. P. Swamy, “Evaluation of Mechanical Properties of Al6061, Fly ash and E-Glass Fiber Reinforced Hybrid Metal Matrix Composites”, ARPN International Journal of Engineering and Applied Sciences, Vol. 6, NO. 5, pp. 40-44, 2011 [17] Arun Kumar M. B., R. P. Swamy, “Wear Studies on Discontinuously Reinforced Aluminium Based Hybrid Metal Matrix Composites”, International Journal of Advanced Materials Science, Vol. 4, No. 2, pp 81-90, 2013.
Dr. Arun Kumar M.B. "Study of Wear Behavior of Aluminum based MMCs using Taguchi Methods" International Journal of Research and Scientific Innovation-IJRSI vol.4 issue 3, pp.39-44 2017