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The goal of this paper is to compute odometry of vehicle using low-level controls combined with inertial measurement unit. The Low-Level control includes design of Drive-by-Wire mechanisms for steering, brake and accelerator systems with appropriate motors and encoder. Experimentation with encoders and DC motors of steering and brake has been carried out first with various embedded modules to choose best suitable module. The experimentation has led to choosing BeagleBone Black (BBB), A low-cost, open-source community-supported development platform for real-time analysis provided by the TI Sitara AM3358 ARM Cortex-A8 processor with Linux-based operating system. Using BBB dedicated hardware module for high CPR (Counts per Revolution) encoders, the vehicle position is evaluated. Using BBB serial cape, it is interfaced to Roboteq motor controller (used for steering and brake motor) and steering encoder for steering wheel position control. The major task of the paper is the evaluation of odometry from using vehicle rear wheel encoders combined with inertial measurement unit. The paper is carried out on a dune buggy; petrol powered motor vehicle with Ackermann drive platform type and mobility. Initially, Drive-by-wire mechanism for steering, brake and accelerator is designed. Autonomous steering control of vehicle is carried out with feedback from steering motor encoder and steering hand wheel encoder connected to axle of steering system. Using IMU (Inertial Measurement Unit) yaw angle and rear wheel axle encoder position value, the odometry of vehicle are computed. Combined with inertial measurement units, they have proven to be a precise and low-cost sensor for vehicle odometry evaluation.

Keywords : Autonomous vehicle,Odometry, X-by-wire, Ackermann drive mechanism, Low-level control

Recent

[1] Reza N.Jazar., “Vehicle Dynamics – Theory and Applications”, Vol. 2, Issue 2 (2008) ISSN: 2249-3905, pp. 377-454 [2] Campbell, Stefan F. (Stefan Forrest), “Steering control of an autonomous ground vehicle with application to the DARPA Urban Challenge”, Massachusetts Institute of Technology, February 2007, pp. 72-85 [3] K J Astorm, “Vehicle/Bicycle Dynamics,” Lecture notes on vehicle dynamics, vol. 58, 2011, pp. 347-352 [4] Saeed B. Niku, “Introduction to Robotics: Analysis, Systems, Applications”, Pearson Education, Inc., 2003 [5] Prof. Dr. Hans P. Geering, Prof. Charles Brom, “Parkmate enhanced odometry”, Swiss Federal Institute of Technology Zurich, Winter 2004/05, pp. 72-85 [6] Reuben Strydom, Saul Thurrowgood, Mandyam V. Srinivasan, “Visual Odometry : Autonomous UAV Navigation using Optic Flow and Stereo”,Summer 2005/06. [7] Gurdal Arslan, Jason R. Marden, Jeff S. Shamma, “Autonomous Vehicle-Target Assignment: A Game-Theoretical Formulation”, Winter 2006/06,pp 01-05 [8] Todd Litman Victoria Transport Policy Institute, “Autonomous Vehicle Implementation Predictions Implications for Transport Planning”, pp 06-08 [9] Kurt Dresner Peter Stone – “Sharing the Road: Autonomous Vehicles Meet Human Drivers”,Pear publications, 2005-06, pp 08-09 [10] Carnegie Mellon University, General Motors Research and Development, Continental AG, Intel Research, “Autonomous Driving in Urban Environments: Boss and the Urban Challenge”, 2012, pp 05-09 [11] L. Conde Bento, Urbano Nunes; Fernando Moita and Antonio Surreci, “Sensor Fusion for Precise Autonomous Vehicle Navigation in Outdoor Semi-structured Environments”,Winter 2008/06, pp 06-08

Project portfolio management also known as PPM is the integrated management of all processes, approaches and techniques used by a project manager and project management office (PMO) to evaluate and govern ongoing projects based on diverse key parameters. This paper scrutinizes on role of project manager and his teamwork with second-string and senior management to analyze the involvement of management and its positive and negative impacts on project portfolio success. The work presents various complexities in portfolio business and also shows how portfolio management can be used as negotiation tool for strategy alignment and structural reconfiguration than rational approaches. The paper also studies the relationship of strategy with business success. Challenges in implementing project portfolio management in execution are highlighted along with their countermeasures.

Keywords : Business Success, Project Manager, PPM, Strategies, Stakeholders

Recent

[1] Harvey A. Levine, Portfolio Project Management: A Practical Guide to Selecting Projects, Managing Portfolios and Maximizing Benefits, 1st ed. San Francisco, Jossey-Bass, 2005. [2] Bert De Reyck, Yael Grushka-Cockayne, Martin Lockett, Sergio Ricardo Calderini, Marcio Moura, Andrew Sloper, “The impact of project portfolio management on information technology projects,” International Journal of Project Management, vol. 23, pp.524–537, October 2005. [3] Gerald I. Kendall and Steven C. Rollins, Advanced Project Portfolio Management and the PMO: Multiplying ROI at Warp Speed, 3rd ed. Florida, 2003. [4] Sascha Meskendahl, “The influence of business strategy on project portfolio management and its success — A conceptual framework,” International Journal of Project Management, vol. 28, pp. 807–817, December 2010. [5] Killen C P, Hunt R A and Kleinschmidt E J, “Project portfolio management for product innovation,” International Journal of Quality and Reliability Management, vol. 25, pp. 24-38, January 2008. [6] Miia Martinsuo, “Project portfolio management in practice and in context,” International Journal of Project Management, vol. 31, pp. 794-803, August 2013. [7] Daniel Jonas, “Empowering project portfolio managers: How management involvement impacts project portfolio management performance,” International Journal of Project Management, vol. 28, pp. 818-831, December 2010. [8] Miia Martinsuo, Paivi Lehtonen, “Role of single-project management in achieving portfolio management efficiency,” International Journal of Project Management, vol. 25, pp. 56-65, January 2007. [9] Barbara Natalie Unger, Hans Georg Gemünden, Monique Aubry, “The three roles of a project portfolio management office: Their impact on portfolio management execution and success,” International Journal of Project Management, vol. 30, pp. 608-620, July 2012. [10] Juliane Teller, Barbara Natalie Unger, Alexander Kock and Hans Georg Gemünden, “Formalization of project portfolio management: The moderating role of project portfolio complexity,” International Journal of Project Management, vol. 30, pp. 596-607, July 2012. [11] Claus Beringer, Daniel Jonas and Alexander Kock, “Behavior of internal stakeholders in project portfolio management and its impact on success,” International Journal of Project Management, vol. 31, pp. 830-846, August 2013. [12] Zohar Laslo, “Project portfolio management: An integrated method for resource planning and scheduling to minimize planning/scheduling-dependent expenses,” International Journal of Project Management, vol. 28, pp. 609-618, August 2010. [13] Killen C P and Hunt R A, “'Dynamic capability through project portfolio management in service and manufacturing industries,” International Journal of Managing Projects in Business, vol. 3, pp. 157-169, January 2010. [14] Catherine P. Killen, Kam Jugdev, Nathalie Drouin and Yvan Petit, “Advancing project and portfolio management research: Applying strategic management theories,” International Journal of Project Management, vol. 30, pp. 525-538, July 2012. [15] Killen C P and Hunt R A, “Robust project portfolio management: Capability evolution and maturity,” International Journal of Managing Projects in Business, vol. 6, pp. 131-151, January 2013. [16] Supachart Iamratanakul, Ravi Shankar and Dragan Milosevic, “Improving project portfolio management with strategic alignment,” Jurnal Pendidikan Akuntansi Indonesia, vol. 2, pp. 37-51, February 2008. [17] Wilderich Heising, “The integration of ideation and project portfolio management—A key factor for sustainable success,” International Journal of Project Management, vol. 30, pp. 582-595, July 2012. [18] Martin Voss, “Impact of customer integration on project portfolio management and its success—Developing a conceptual framework,” International Journal of Project Management, vol. 30, pp. 567-581, July 2012.

The recent form of change in working on resources and platform introduced the term virtualization. Virtualization comes with its own merits and challenges. As it hides physical characteristics of the resources and the concept of encapsulation comes into picture. Hypervisor based architecture requires fewer hardware resources and can communicate more efficiently. All major players have introduced their hypervisor based solution to the virtualization. One of the challenges comes with it is the virtualization security.

Keywords : Virtualization, attacks, sniffing, hypervisor, vm, vdi

Recent

[1] Edward L. Haletky. Secure Hybrid Cloud Reference Architecture, The Virtualization Practice, LLC(www.virtualizationpractice.com); Version 1.1 (September 2012) [2] Edward L. Haletky. VMware vSphere(TM) and Virtual Infrastructure Security: Securing the VirtualEnvironment, Prentice Hall PTR; 1 edition (June, 2009) [3] Trend Micro Deep Security Reference Architecture for the Secure Hybrid CloudEdward L. Haletky Analyst – Virtualization and Cloud Security. The Virtualization Practice Sponsored by Trend Micro [4] Virtualization Security and Best Practices Rob Randell, CISSP [5] Virtualization and Risk: Key Security Considerations for Your Enterprise Architecture, McAffe [6] NIST Guide to Intrusion Detection and Prevention Systems, http://csrc.nist.gov/publications/nistpubs/800-94/SP800-94.pdf [7] Gartner, Radically Transforming Security and Management in a Virtualized World: Concepts, Neil MacDonald, March 14, 2008 [8] VM World News, www.vmware.com/vmworldnews/esx.html [9] Top Virtualization Security Mistakes(and How to Avoid Them) A SANS Whitepaper – August 2009 , Written by Jim D. Hietala [10] Secure In-VM Monitoring Using Hardware Virtualization, Institute Eurecom, Sophia Antipolis, France. [11] http://www.ibm.com/developerworks/cloud/library

Agriculture is a driving force for fundamental force for economic and social revolution. We identify the clear road map to the Indian farmers through the Technology Centers. It speedup the globalization and it makes to knowledge and information so easier for the Indian farmers. To achieve the knowledge society in Indian agriculture, easily get the Information about agriculture through the information center at every village and interactive exchange of information for planning and day by day operation agronomists. The farmers easily connect and plug in to agriculture most recent advanced network the livelihood of farmers by making the data very useful and accessible. Our aim collects the data from agriculture department and cooperation foresees that the tool of KSA (Knowledge Society Agriculture) it will provide the network in agriculture field. Even globally and the central, state government sectors will have not have databases. Convey farmers, scientist, researchers, scholars and network engineers combine together by creating the Modern digital networks for Farmers through KSA Agricultures in online to interchange the ideas and agriculture information.

Keywords : Technology Centers (TC), Advanced Intelligent Network, Spatial Data Mining, Agriculture Information Systems, Data extensive analysis, System integration

Recent

[1] Mucherino,A.,Papajorgji,P.&Pardalos,P.(2009),“Data Mining in agriculture” (Vol.34),Springer. [2] Marcel Faf Champs and Bar Minten “Impact of SMS based agriculture information on Indian farmers” oxfords journals Vol 26,No.3.Pp.383 to 414,2012. [3] Nidhi Dwivedy “Challenges faced by agriculture sector on developing countries with special reference India”. International journal of rural studies Vol.18.No.2,2011 [4] Jaideep Vaidaya and Chris Clifton “Privacy Preserving K-Means Clustering over Vertically partitioned data”. Department of CSE, 2013 [5] Srikant, RVQ Agrawal.R (1997), “Mining Association Rules with Item Set Constraints. In KDD” (Vol.97, pp.67 - 73) [6] Fayyad.U Piatetsky Shapiro,G. & Smyth.P.(1996),“From data mining to knowledge discovery in databases” I Magazine, 17.3,37. [7] Lathika Sharma & Nitu Mehta “Data Mining Techniques: A tool for knowledge management System in Agriculture” International Journal of scientific and technology research volume 1, issue 5, ISSN 2277 - 8616, 2012. [8] I.Jagielska,C.Mattehews,T.Whitfort, “An investigation into the application of neural networks, fuzzy logic, genetic algorithms,& rough sets to automated knowledge acquisition for classification problems”, Neurons Computing,Vol.24,pp.37-54,1999. [9] Mucherino G.Rub – “Recent developments in Data Mining and Agriculture”. [10] Georg Rub "Data mining of Agriculture yield data: A compression of regression models” [11] D.Rajesh "Application of spatial data mining for agriculture” International Journal of computer application (097 to 8887) Volume15, No.2, 2011. [12] Darcy Miller, Jaki Mccarthy, Audra Zakzeski "A Fresh Approach to Agricultural Statistics: Data Mining and t the Sensing" National Agricultural Statistics Service, 2009. [13] E.Van Baars and V.Vebruge “Knowledge based algorithm for multi agent communication”. [14] Michel Charest & Sylvain Delisle “Ontology guided intelligent data mining assistance: Combining Declarative and Procedural Knowledge. [15] Srivastava, United Kingdom “Agro Processing Industries: Potential, constraints and tasks ahead” Indian journal of Agricultural Economics, 44(3), pp.242 - 256, 1999. [16] Tellaeche,A.BurgosArtizzu,X.P.Pajaras,G.Ribeiro.A(2007), “A Vision based Hybrid classifier for weeds detection in precision Agriculture through Bayesian and Fuzzy K- Means Paradigms”, In innovations in Hybrid Intelligent system (pp.72-79). Springer Berlin Heidelberg. [17] B.G.Buchanan R.duda, “Principles of rule based experts systems”. Report STAN CS.82.926.Stanford University, August, 1992. [18] Gandhi Vasanth and Kumar Gauri and Manish Robin, “Agro industry for rural and small farmer development: Issues and great lesson for India”, Indian food and agribusiness management review, volume2, pp.331-344, 2001. [19] S.Veenadhari, Dr.Bharat Misra, Dr.Singh, “Data mining Techniques for Predicting Crop Productivity – a review article”, International journal of computer science and Technology Vol.2, Issue 1, March 2011. [20] Tripathi, S.SrinivasV.V & Nanjundiah.R.S (2006),“Downscaling of Precipitation for climate change scenarios: A Support Vector Machine Approach” precipitation for climate change scenarios: a support vector machine approach”, Journal of Hydrology, 330 (3), 621- 640.

Energy consumption is major thing to be considered in day today life. There was an existing paper for this where the home appliances are controlled through remote operations and there was no usage of sensors in it. However, here we can control our home devices by our own anywhere through mobile application. Improve this project by using different sensors and android version mobiles with GPRS technology to control the devices. In this project we control the Home appliances like fan, gas cylinder in case of unwanted usages through GPRS with Android applied mobiles using temperature, gas, current, PIR sensors in a motto of energy conservation. A new approach is designed and implemented where we achieve an internet-based smart remote control system for home automation, purposely dedicated for power management that adapts power consumption to available power resources according to user comfort and cost criteria. Sensors and home appliances are connected to the controller, which is further interfaced with internet through an android applied mobile. Therefore, these devices can be monitored and controlled from every corner of the world through the Internet cloud. Added advantage is that the system is scalable and allows additional appliances to be added to it with no major changes to its core-processing segment.

Keywords : Android mobile control system, Energy Consumption, GPRS, Micro Controller, Remote control

Recent

[1] Armando Roy Delgado, “Remote-controlled home automation systems with different network technologies” IEEE 2011. [2] ArtiShukla, “Integration of Technology and services for better quality of living”, IEEE 2011. [3] Caio Augustus Morais Bolzani, “intelligent and adaptive systems in a distributed and collaborative scenario”, IEEE 2012. [4] Cheng-ChienKuo, “A zigbee-based monitoring and protection system for building electrical safety” in IEEE 2010. [5] Christin John Thomas, “AVR controller at the core of the system to provide an intelligent electrical building system”, IEEE 2011. [6] Chun-Liang Hsu, “Design of sensor modules of active & intelligent energy-saving system”, IEEE 2010. [7] Elena Mainardiet, “Domestics Smart Home Systems, and Ambient Intelligence”, IEEE 2011. [8] Fabio Lecces, “remote-control system optimize management and efficiency of street lighting systems”, IEEE 2010. [9] Hanne Grindvollet,”wireless sensor network (WSN) to support energy management by utilizing Web services and middleware Technologies”, IEEE 2010. [10] JinsungByunet “forward saving energy”, IEEE 2011. [11] Laisa C. P. Costa,”display design for accessible interaction in home area networks”, IEEE 2010. [12] Mahesh S.Patilet,”energy conservation and home automations”, IEEE 2011. [13] RoshanGhosh, “information of interest to control systems”, IEEE 2012. [14] Thomas SkjodebergToftegaardet, “energy consumption in Europe and there is a political desire to lower the general energy Consumption”, IEEE 2010. [15] XiaodaoChen, “Uncertainty-aware household appliance scheduling considering dynamic electricity pricing in smart home”, IEEE, 2010. [16] Ying-Wen Baiet, “home surveillance system based on an embedded system with multiple ultrasonic sensor modules” ,IEEE 2009. [17] Zippereret, “electric energy management in the smart home: perspectives on enabling technologies and consumer behaviour” IEEE, 2012.

To reduce energy consumption in buildings, passive solutions have been developed greatly like increasing the insulation of exterior walls. One way to improve the energy efficiency of buildings is to design multi-functional facades that capture the energy available locally: the principle of hybrid envelopes, able to both isolate, protect, but also capture, store, transport energy. Our study is about a solar collector made up mainly of a photovoltaic cell (receiving surface) and a wall of storage. The goal of this work is to heat naturally the habitat using a system which ensures initially the cooling of PV-cell. In this paper a simulation model have been made for a BIPV trombe wall. Computational fluid dynamic (CFD) has been applied to predict air temperature and velocity in the room during December 10th. The simulations for three-dimensional model BIPV trombe wall is carried out using the climatic data of Tlemcen, Algeria. The temperature variations at certain nodes and slices have been interpreted. Simulation result values of indoor air temperature during December 10th are presented and shows the influence of our hybrid solar wall on the thermal behavior of the habitat.

Keywords : Natural Ventilation, Trombe Wall, Photo-Voltaique Cells, Hybrid Solar Wall.

Recent

[1] D.M. Utzinger, ‘Analysis of Building Components Related to Direct Solar Heating of Building’, M.S. Thesis, University of Winconsin, Madison, (1979). [2] Ramadan Bassiouny, Nader S.A. Koura, An analytical and numerical study of solar chimney use for room natural ventilation, Energy and Buildings 40 (2008) 865–873 [3] Ramadan Bassiouny, Nader S.A. Korah, Effect of solar chimney inclination angle on space flow pattern and ventilation rate, Energy and Buildings 41 (2009) 190–196. [4] Guohui Gan, Simulation of buoyancy-driven natural ventilation of buildings-Impact of computational domain, Energy and Buildings 42 (2010) 1290–1300 [5] Basak Kundakci Koyunbaba , Zerrin Yilmaz, The comparison of Trombe wall systems with single glass, double glass and PV Panels, Renewable Energy 45 (2012) 111e118. [6] Bourdeau, L., Jaffrin, A., 1979. Actual performance of a latent heat diode wall. In: Proceedings of Izmir International Symposium II on Solar Energy Fundamentals and applications, Izmir Turkey. [7] Bourdeau, L., 1980. Study of two passive solar systems containing phase change materials for thermal storage. In: Hayes, J., Snyder, R. (Eds.), Proceedings of the Fifth National Passive Solar Conference, 19s26 October, Amherst, Newark, DE, American Solar Energy Society, pp. 297an So [8] Knowles, T., 1983. Proportioning composites for efficient thermal storage walls. Solar Energy 31 (3), 319–326. [9] G. Selka, A. N. Korti, S. Abboudi, R. Saim, Numerical study of thermal behaviour of building walls containing a phase change material, Mechaniks, Vol. 20, n° 4 (2014), pp. 367-375? Print ISSN: 1392-1207 Online ISSN: 2029-6983, http://dx.doi.org/10.5755/j01.mech.20.4.6235. [10] Laurent Zalewski, Annabelle Joulin, Steten el Lassue, Yvan Dutil, Daniel Rousse, Experimental study of small-scale solar wall integrating phase change material, Solar Energy 86 (2012) 208-219.

The increase in fuel price due to inflation and the ruminative shortage in the supply of conventional fuels have led to a serious research and development on the alternate fuel sources. In India one of the option is plant which are available in plenty and can be used as bio fuels. The current utilization of non-edible oilseeds which are available is very low. Bio diesel from ‘Mahua’ seed is one option. ‘Mahua’ is known as ‘Illupaimaram’ in Tamil and ‘Hippi’ in Kannada, can be successfully grown in wastelands and dry lands. The seeds of the tree are popularly known as Indian butter tree. In this work, experiments were carried out to study and analyses the emission, combustion and performance characteristics of the mahua methyl esters. For the analysis, the setup consisting of a single cylinder, water-cooled, four stroke diesel engines is used. Initially the engine is run with the diesel fuel and the performance was analyzed. Then the experiments were conducted with blended fuels, mahua methyl esters (B20, B40 and B60) , added in volume basis, and the performance was analyzed. All the tests were conducted with varying conditions of load over the entire range of engine operation. The engine performance parameters such as the BTE (Brake thermal efficiency), SFC (Specific fuel consumption), and emission from exhaust (CO2, CO, NOx, HC and O2) were recorded. The results of the selected mahua mixtures are compared with the neat diesel fuel. Engine performance using the mahua oil and its blends were on par with the experiments performed using pure diesel fuel at most of the loads. The carbon monoxide (CO) and hydrocarbon (HC) emissions of the mahua oil and its blends were found to be lower than that of the diesel fuel at all loads. The carbon dioxide (CO2) and nitrogen oxides (NOx) emissions were higher for mahua oil blends than that of pure diesel fuel at all loads.

Keywords : Bio diesel, Alternate Fuels, Blending, Engine Testing, Exhaust emission

Recent

[1] Senthil KM, Ramesh A, Nagalingam B; An experimental comparison of methods to use methanol and jatropha oil in a compression ignition engine, J Biomass & Bio-energy, 2003; 25:309–18. [2] Raheman H, Phadatare AG; Diesel engine emissions and performance from blends of karanja methyl ester and diesel, J Biomass & Bioenergy, 2004; 27:393–7. [3] Puhan S, Vedaraman N, Ram BVB, Sankarnarayanan G, Jeychandran K; Mahua oil (Madhucaindica seed oil) methyl ester as biodiesel-preparation and emission characteristics, J Biomass & Bio-energy, 2005; 28(1):83–7. [4] Ramadhas AS, Muraleedharan C, Jayaraj S; Performance and emission evaluation of a diesel engine fuelled with methyl esters of rubber seed oil, J Renew Energy, 2005; 30:1700–89. [5] Kaul S, Kumar A, Bhatnagar AK, Goyal HB, Gupta AK; Bio-diesel - a clean & sustainable fuel for future 2003; All India seminar on national policy of non-edible oils as bio-fuels, IISc Bangalore. [6] Srivastava A, Prasad R; Triglycerides-based diesel fuels, J Renew &Sust Energy, Rev 2000; 4:111–33. [7] Ghadge SV, Raheman H; Process optimization for bio-diesel production from mahua (madhucaindica) oil using response surface methodology, J Bio-resource Technol,2006;97:374–9 [8] Wagner LE, Clark SJ, Schrock MD; Effects of soybean oil esters on the performance of diesel engines; SAE Paper No. 841385; 1984. [9] Peterson CL, Wagner GL, Auld DL; Vegetable oil substitutes for diesel fuel, Trans ASAE 1993; 26(2):322–32. [10] Spataru A, Romig C; Emissions and engine performance from blends of soya and canola methyl esters with AB#2 diesel in a DCC 6V92 TA MUI engine, SAE Paper No. 952388; 1995. [11] Krahl J, Baum K, Hackbarth U, Jeberian HE, Munack A, SchuttC, et al; Gaseous compounds, ozone precursors, particle number and size distributions and mutagenic effects due to biodiesel, Trans ASAE 2001;44(2):179–91. [12] Lang X, Dalai AK, Bakhshi NN, Reaney MJ, Hertz PB; Preparation and characterization of bio-diesels from various bio-oils, Bio-resource Technol, 2001; 80:53–62 [13] Dorado MP, Ballesteros E, Almeida JA, Schellert C, Lo¨ hrlein HP, Krause R; An alkali-catalyzed trans esterification process for high free fatty acid waste oils, Trans ASAE 2002; 45(3):525–9. [14] Nwafor OMI; Emission characteristics of diesel engine operating on rapeseed methyl ester, J Renew Energy, 2004; 29:119–29. [15] Schumacher LG, Borgelt SC, Fosseen D, Goetz W, Hires WG. Heavy-duty engine exhaust emission tests using methyl ester soybean oil/diesel fuel blends. J BioresourceTechnol, 1996; 57:31–6. [16] Dorado MP, Ballesteros E, Arnal JM, Go’mez J, Lo’pez FJ; Exhaust emissions from a diesel engine fuelled with trans esterified waste olive oil, J Fuel, 2003; 82:1311–5. [17] Monyem A, Gerpen JV, Canakci M; The effect of timing and oxidation on emissions, Trans ASAE 2001; 44(1):35–42. [18] S. Savariraj, T. Ganapathy, C. G. Saravanan; Experimental investigation of performance and emission characteristics of mahua bio-diesel in diesel engine, International Scholarly Research Network ISRN Renewable Energy, Article ID 405182 (2011) 6 pages. [19] Puhan S, Vedaraman N, Sankaranarayanan G, Boppana V, Ram B; Performance and emission study of mahua oil (madhucaindica oil) ethyl ester in a 4-stroke natural aspirated direct injection diesel engine, J Renew Energy, 2005; 30:1269–78.

In this experimental study Brake Thermal Efficiency of a variable compression ratio (VCR) Diesel engine operating with diesel and Pongamia pinnata oil blends were studied under different five different loading conditions (0,3,6,9 & 12 kg), two compression ratio (17:01 & 18:01) and three different Pongamia pinnata oil blends (B10, B15 & B20) which are blended with diesel by volumetric basis (100 ml Pongamia pinnata oil: 900 ml pure Diesel, 150 ml Pongamia pinnata oil: 850 ml pure Diesel, 200 ml Pongamia pinnata oil: 800 ml pure Diesel) respectively. For comparative purpose initially the engine was run by pure Diesel. This study shows that the Brake Thermal Efficiency is maximum (34.14%) when the engine operates with Pongamia pinnata oil (B15 blend) which was blended with pure Diesel on full load conditions (12 kg) and compression ratio of 18:01. This study shows that the Brake Thermal Efficiency is minimum (1.31 %) when the engine operates with Pongamia pinnata oil (B15 blend) which was blended with pure Diesel on no load conditions (0 kg) and compression ratio of 17:01.

Keywords : VCR Diesel engine, pongamia pinnata oil blends, loads, compression ratio, brake thermal efficiency

Recent

[1] K. Srithar, K. Arun Balasubramanian, V. Pavendan and B. Ashok Kumar, ‘Experimental investigations on mixing of two biodiesels blended with diesel as alternative fuel for diesel engines’. Journal of King Saud University – Engineering Sciences, 2014. [2] A.E Ghaly, D. Dave and M. Brooks, ‘Production of biodiesel by enzymatic transesterification: review. American journal of biochemical and biotechnology, 2010, Vol.6, pp.54–76. [3] W. Theansuwan, and K. Triratanasirichai, ‘The biodiesel production from roast Thai sausage oil by transesterification reaction’. American journal of engineering applications and science, 2011, Vol.4, pp.130–132. [4] D. Agarwal, L. Kumar and A.K. Agarwal, ‘Performance evaluation of a vegetable oil fuelled compression ignition engine’. Renewable Energy, 2008, Vol. 33, pp.1147–1156. [5] B. Deepanraj, C. Dhanesh and R. Senthil, ‘Use of palm oil biodiesel blends as a fuel for compression ignition engine’. American journal of applied science, Vol.8, pp.1154–1158. [6] H. Rahimi, B. Ghobadian and T. Yusuf, ‘Die sterol: an environment-friendly IC engine fuel’. Renewable Energy, 2009, Vol. 34, pp.335–342. [7] M. Mani, C. Subash and G. Nagarajan, ‘Performance, emission and combustion characteristics of a DI diesel engine using waste plastic oil’. Application of thermal engineering, 2009, Vol.29, pp.2738–2744. [8] K. Muralidharan, and P. Govindarajan, ‘The effect of bio-fuel blends and fuel injection pressure on diesel engine emission for sustainable environment’. 2011, American journal of environmental science, Vol.7, pp.377–382. [9] M.Venkatraman, and G. Devaradjane, ‘Computer modeling of a CI engine for optimization of operating parameters such as compression ratio, injection timing and injection pressure for better performance and emission using diesel-diesel biodiesel blends’. American journal of applied science, 2011, Vol.8, pp.897–902.

One of the open source software tool kit is EPICS (Experimental Physics and Industrial Control System) developed and maintained by Argonne National laboratory, US and is in use worldwide. It maintains the server client distributed control system. Communication between server and client are done through a named piece of data called Process Variable (PV). There may be many client and many servers. [1].This paper presents the installation of EPICS in Raspberry Pi. EPICS installation in Raspberry Pi has been done in a stepwise process that includes some application specific modules.

Keywords : EPICS, Raspberry Pi, Linux

Recent

[1] Description of Experimental Physics and Industrial Control System http://www.aps.anl.gov/epics/ [2] EPICS in Raspberry Pi https://prjemian.github.io/epicspi/ [3] Description of EPICS base http://www.aps.anl.gov/epics/base/. [4] Description of SynApps https://www1.aps.anl.gov/bcda/synapps [5] Description of VDCT http://www.aps.anl.gov/epics/extensions/vdct/ [6] VDCT user manual page http://www.aps.anl.gov/epics/extensions/vdct/2.6.1274/MAN-VisualDCT_Users_Manual.html [7] EPICS record reference manual http://www.aps.anl.gov/epics/EpicsDocumentation/AppDevManuals/RecordRef/Recordref-1.html [8] Device support for the GPIO in raspberry pi https://github.com/ffeldbauer/ [9] Availability of device support for I2C http://www.aps.anl.gov/epics/tech-talk/2016/msg00433.php/ [10] Beagle bone products http://beagleboard.org/bone [11] Orange pi products http://www.orangepi.org/ [12] Banana pi products http://www.banana-pi.org/product.html [13] Writing EPICS driver and device support http://www.aps.anl.gov/epics/meetings/2009-07/talks/em_WritingEPICSDrivers.ppt [14] Richard Peterson, The complete reference 6E, Tata McgrawHill Edition [15] Raj Kamal, Embedded system Architecture, programming and design 3E, McGrawHill Education.

Large amount of data is generated through different applications on a daily basis. Databases are used to store this data as per the requirements. This data contains a lot of personal and confidential data that is needed to me protected from being misused. The best way to protect this data is by encrypting it. In encryption what we do is basically scramble the contents of a respective field of the database with the help of a key. Encryption can serve as a mean to achieve flexibility and privacy of data can also be achieved which is very essential business environments. This paper presents different encryption methods used to encrypt different fields in a PostGRE database.

Keywords : One Way Encryption, Two Way Encryption, Decryption,Hashing algorithm,pgcrypto methodology.

Recent

[1] http://www.dbrnd.com/2016/03/postgresql-best-way-for-password-encryption-using-pgcryptos-cryptographic-functions/ [2] PostgreSQL: Up and Running, 2nd Edition-A Practical Guide to the Advanced Open Source Database By Regina O. Obe, Leo S. Hsu

Linkages have an advantage of easily modifying their output by suitable adjustments compared to cams and geared mechanisms. But at the same time it is usually difficult to change the dimensions of mechanisms every time to do different tasks. Also we cannot synthesize exactly the necessary mechanism because of limitation of maximum precision points. This problem is addressed by using adjustable Crank-Rocker linkages that are capable of generating multiple paths with a simple adjustment of the length of the rocker guider. Little work has been done in the area of synthesis of adjustable four-bar and six bar linkages for function and continuous path generation, especially of adjustable crank-rocker linkages. The present work is an attempt to synthesize adjustable eight bar mechanism to overcome this difficulty. The link lengths are computed using Cheybychev’s spacing and Fruedenstein’s equations. A procedure is developed to compute the values of design variable which satisfies the input – output relationship. Analytical and programmable method is developed in Matlab to generate desired function and path.

Keywords : Planar eight bar mechanism, Adjustable link, Fruedensteins method, Chebychiv spacing

Recent

[1] Mekonnen Gebreslasie and Alem Bazezew: “Synthesis, Analysis And Simulation Of A Four-Bar Mechanism Using Matlab Programming” Journal of EAEA, Vol. 18,2001. [2] Arthur G. Erdman, George N. Sander, Mechanism Design: Analysis and synthesis, volume-1, and volume-2 Prentice Hall of India Private Limited, New Delhi, (1988). [3] Joseph Edward Shigley, John Joseph Uicker, JR., Theory of machines and mechanisms, second edition, McGraw-Hill, New York, (1995) [4] Robert L. Norton, Design of Machinery, An Introduction to the Synthesis and Analysis of Mechanisms and Machines, third edition, Tata McGraw-Hill Publishing Company limited, New Delhi. [5] K.J.Waldron and G. L.Kinzel, MATLAB PROGRAMS for Textbook Kinematics, Dynamics, and Design of Machinery. [6] Rudra Pratap: Getting started with MAT LAB 7, OXFORD University press, (2008). [7] Y.Kirani Singh, B.B.Chaudhuri: MATLAB Programming: PHI learning pvt Ltd, Delhi, (2009). [8] H.Zhou, Edmund H.M.Cheung, “Analysis and optimal synthesis of adjustable linkages for path generation” Mechatronics 12 (2002) 949–961. [9] Qiong Shen, Yahia M. Al-Smadi, Peter J. Martin, Kevin Russell, Raj S. Sodhi, “An extension of mechanism design optimization for motion generation” Mechanism and Machine Theory 44 (2009) 1759–1767

Searching for the best soil stabilizers to overcome the problem occurs by the clayey soils and sandy soils are still being the main concern, not only to achieve the required soil engineering properties but also by considering the cost and the effect to the environment. This research work presents the efficiency of sodium based alkaline activators as an additive in improving the engineering characteristics of cohesive and cohesion less soil. Investigations have been done in order to evaluate the effectiveness as soil stabilizer which involved the use of sodium hydroxide as chemical additive and concentrations of 1,2,4,8 molar were used. These materials were discussed in this paper and their effectiveness for stabilizing the soil were observed from the obtained results only in terms of strength and shear parameters like cohesion and angle of friction by conducting unconfined compressive test, California bearing test and direct shear test. The strengths of soil and their shear parameters were significantly increased with the use of sodium hydroxide as chemical additive and supposed they have the potential as effective soil stabilizers in field application.

Keywords : chemical additives, soil stabilization, sodium hydroxide

Recent

[1] A. Roohbakhshan, B. Kalantari. (2013). Influence of lime and waste stone powder on the pH values and atterberg limits of clayey soil. ANNALS OF FACULTY ENGINEERING HUNEDOARA–International Journal of Engineering, pp. 177~180. [2] Bujang I. Z., Awang M. K. and Ismail A. E. (2007). Study on the Dynamic Characteristic of Coconut Fibre Reinforced Composites. Regional Conference on Engineering Mathematics, Mechanics, Manufacturing & Architecture, Malaysia [3] Hejazi Sayyed Mahdi, Zadeh Mohammed Sheikh, Abtahi Sayyed Mahdi and Zadhoush Ali (2012). A simple review of soil reinforcement by using natural and synthetic fibers. Construction and Building Materials 30, 100-116. [4] Kharade Amit S., Suryavanshi Vishal V., Gujar Bhikaji S. and Deshmukh Rohankit R., (2014) Waste product ‘bagasse ash’ from sugar industry can be used as stabilizing material for expansive soils IJRET: International Journal Of Research In Engineering And Technology EISSN: 2319-1163 | PISSN: 2321-7308 volume: 03 issue: 03 | March [5] Mittal Shelly and Singh R. R. (2014). Improvement of local subgrade soil for road constuction by the use of coconut coir fiber. IJRET: International Journal of Research in Engineering and Technology, Volume: 03 Issue: 05 | May [6] Pillai Sudhakaran M. (2003). Ecofriendly plastics/remedial measures for environment sustailability, Coir Board Government of India. 4th International R&D conference for Water and Energy for 21st century, 28-31 January. Aurangabad [7] R. Karthika, g. R. Amruthalekshmi, anju k. Peter, m. Mohamed sajeer and a. K. Raji (2011). Study of rut behaviour of coir reinforced black cotton soil using wheel tracking apparatus. Proceedings of Indian Geotechnical Conference. December 15-17, Kochi (Paper no. J-258) [8] Ravi Shankar A.U., A. Chandrasekhar and Bhath Prakash (2012).Experimental Investigation on Lithomargic Clay Stablized with sand and Coir. Indian Highways: A Review of Road and Road Transport Development. Vol.40 No.2.pages.21-31. [9] Reinforced with Coir Fibres. A thesis submitted in B.Tech Civil Engineering, Malaysia, Phang.

The maintenance and reliability of the power system has become a major aspect of study. The existing network is mechanically controlled, though we provide control and protection system which are electronics, computer, microcontroller based but the signal which is provided to the circuit where final action is carried out is completely mechanically controlled which reduced efficiency of the system. The solution is the use of FACTS devices especially the use of unified power flow controller (UPFC).The FACTS is nothing but to make system more flexible to adapt the variation due to occurrence of faults. In this paper the study of UPFC with its mathematical modeling. Second, the operation of control system used in its converters is also studied. Finally by help of modeling of a power system in MATLAB and by installing UPFC in transmission link, its use as power flow controller and voltage injection is seen. Conclusion is made on different results i.e. voltage profile, phase angle and active and reactive power to see the benefit of UPFC in power system. The paper explains the basic theory and operating characteristics of the unified power flow controller with mathematical modeling of photovoltaic system and then this model is implemented to three phase system.

Keywords : FACTS; Photovoltaic power station; power flow analyze; unified power flow controller (UPFC);

Recent

[1] Narain.G.Hingorani,Laszlo,Gyugyi,“Understanding FACTS Concepts and Technology of Flexible AC Transmission Systems”, IEEE Press, Standard Publishers Distributors, Delhi.pp.297-308 [2] K. R Padiyar, “FACTS Controllers in Power Transmission and Distribution”,NewAge International Publishers (formerly Wiley Eastern Limited), New Delhi. Transmission Systems, IEEE Press, 2000 [3] D P Kothari,I J Nagrath,”Modern Power System Analysis”(Third Edition).publication [4] David Houcque “INTRODUCTION TO MATLAB FOR ENGINEERING STUDENTS”, North western University (version 1.2, August 2005)New York, NY: IEEE Press, 2000 [5] Vibhor Gupta “Study and Effects of UPFC and its Control System for Power Flow Control and Voltage Injection in a Power System”, International Journal of Engineering Science and Technology,Vol. 2(7), 2010, 2558. [6] C. L. Wadhwa , “Electrical Power Systems”, New Age International Publishers, 2009 [7] Ashfaq hussain,”Electrical Power System”,aligad university, vol 2, 2009 [8] Maryam Hashemi. “Using UPFC in order to control power flow. IEEE International Conference on Industrial Technology”, 2006, 2:1486-1491. [9] Singh S N, Erlieh I. Locating unified power flow controller for enhancing power system load stability. International Conference on Future Power System, 2005, 1: 16-18. [10] H. Altas1, and A.M. Sharaf,”A Photovoltaic Array Simulation Model for Matlab-Simulink GUI Environment”, 1-4244-0632-3/07©2007, IEEE [11] Hu Xiaoqing, Cheng Qiming,” Application of UPFC Based on Improved Double-loop Decoupling PI Control in Photovoltaic Systems”, 2012 International Conference on Computer Distributed Control and Intelligent Environmental Monitoring,978-0-7695-4639-1/12,2012,IEEE,DOI 10.1109/CDCIEM.2012.43.

An open source software tool kit is EPICS (Experimental Physics and Industrial Control System) developed and maintained by Argonne National laboratory, US and is in use worldwide. It maintains the server client distributed control system. Communication between server and client are done through a named piece of data called Process Variable (PV). There may be many client and many servers. [1]. this paper presents record processing in EPICS and usage of device support in Raspberry Pi. EPICS record processing was done using VDCT (Visual Database Configuration Tool) and GPIO access of Raspberry Pi is also shown using device support.

Keywords : EPICS, Linux, Raspberry Pi

Recent

[1] Description of Experimental Physics and Industrial Control System http://www.aps.anl.gov/epics/ [2] Description of VDCT http://www.aps.anl.gov/epics/extensions/vdct/ [3] VDCT user manual page http://www.aps.anl.gov/epics/extensions/vdct/2.6.1274/MAN-VisualDCT_Users_Manual.html [4] EPICS record reference manual http://www.aps.anl.gov/epics/EpicsDocumentation/AppDevManuals/RecordRef/Recordref-1.html [5] Devgpio device support from github ffeldbaur https://github.com/ffeldbauer/epics-devgpio [6] Availability of device support for I2C http://www.aps.anl.gov/epics/tech-talk/2016/msg00433.php/ [7] Writing EPICS driver and device support http://www.aps.anl.gov/epics/meetings/2009-07/talks/em_WritingEPICSDrivers.ppt [8] Richard Peterson, The complete reference 6E, Tata McgrawHill Edition [9] Raj Kamal, Embedded system Architecture, programming and design 3E, McGrawHill Education [10] Installation procedure in Raspberry Pi https://prjemian.github.io/epicspi/ [11] Description of EPICS base http://www.aps.anl.gov/epics/base/. [12] Description of synApps https://www1.aps.anl.gov/bcda/synapps.

This paper aims to study the measurement of effectiveness of TPM implementation in manufacturing and service industries. Here an attempt was made to discuss the previous literature related to the TPM implementation and OEE measurement. The review was done based on a range of journals related to TPM, published in last 10 years, specifically related to TPM implementation and OEE improvement. These TPM papers were studied for the improvement in performance of the equipment by TPM implementation. In this review, OEE is found to be an effective tool for measuring the effectiveness of TPM implementation in most of the industries. It was found that improving Overall Equipment Effectiveness (OEE) is one of the main benefits in TPM implementation and it has been discussed in most of the literature. Improvement in OEE can be observed through the improvement in the availability, performance rate and quality rate as a result of TPM implementation. The review revealed that OEE improvement can be achieved by TPM implementation.

Keywords : Total productive maintenance (TPM), effectiveness, implementation, Overall Equipment Effectiveness, availability, performance rate, quality rate

Recent

[1] A. Bangar, Hemlata Sahu, Jagmohan Batham, 2013, “Improving Overall Equipment Effectiveness by Implementing Total Productive Maintenance in Auto Industry”, International Journal of Emerging Technology and Advanced Engineering, Vol.3, No.6, p;ISSN: 2250-2459, pp.590-594. [2] Abhijit Chakraborty, Reyya Pawani, 2015, “OEE Improvement by TPM Implementation in SMEs”, Global Journal of Advancement in Engineering and Science, Vol. 1, No.1, p-ISSN: 2395-1001, pp. 47-51. [3] Aditya Parida, Udaya Kumar, 2009, “Maintenance Productivity and Performance Measurement”, Springer -Handbook of Maintenance Management and Engineering, ISBN: 978-1-84882-471-3, pp. 17-41. [4] Amit Bajaj, Vipan Kumar, 2013, “TPM Implementation in Small Scale Agriculture Industry: A Case Study”, International Journal of Engineering Research &Technology, p-ISSN: 2278-0181, Vol. 2, No. 5, pp. 1122-1135. [5] Amit Kumar Gupta, R. K. Garg, 2012, “OEE Improvement by TPM Implementation: A Case Study”, International Journal of IT, Engineering and Applied Sciences Research, Vol. 1, No. 1, p-ISSN: 2319-4413, pp.115-124. [6] Arunraj K, Maran M, 2014, “A Review of Tangible Benefits of Total Productive Maintenance Implementation”, International Journal of Applied Sciences and Engineering Research, Vol. 3, No. 1, p-ISSN: 2277 – 9442, pp.171-176. [7] Blanchard B.S., 1997, "An enhanced approach for implementing total productive maintenance in the manufacturing environment", Journal of Quality in Maintenance Engineering, Vol. 3 No.2, pp.69-80. [8] Bhadury, B., 2000, “Management of productivity through TPM”, Productivity, Vol. 41, No. 2, pp. 240-251. [9] Chetan S. Sethia, P. N. Shende, Swapnil S. Dange, 2014, “Total Productive Maintenance- A Systematic Review”, International Journal for Scientific Research & Development, Vol. 2, No.8, e-ISSN: 2321-0613, pp. 124-127. [10] Disha M Nayak, Vijaya Kumar M N, G. Sreenivasulu Naidu, Veena Shankar, 2013, “Evaluation of OEE in a Continuous Process Industry on an Insulation line in a Cable Manufacturing Unit”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 2, No. 5, p-ISSN: 2319-8753, pp.1629-1634. [11] E. Sivaselvam, S. Gajendran, 2014, “Improvement of Overall Equipment Effectiveness In a Plastic Injection Moulding Industry”, IOSR Journal of Mechanical and Civil Engineering, e- ISSN: 2278-1684, p-ISSN: 2320–334X, pp. 12-16. [12] Harsha G. Hegde, N. S. Mahesh, Kishan Doss, 2009, “Overall Equipment Effectiveness Improvement by TPM and 5S techniques in a CNC Machine Shop”, SASTech, Technical Journal of M.S. Ramaiah School of Advanced Studies, ISSN:2249-5924,Vol. 8, No. 2, pp. 25-32. [13] Hemant Singh Rajput, Pratesh Jayaswal 2012, “A Total Productive Maintenance (TPM) Approach to Improve Overall Equipment Efficiency”, International Journal of Modern Engineering Research, Vol. 2, No. 6, p-ISSN: 2249-6645, pp-4383-4386. [14] Ignatio Madanhire, Charles Mbohwa, 2015, “Implementing Successful Total Productive Maintenance (TPM) in a Manufacturing Plant”, Proceedings of the World Congress on Engineering, London, U.K., Vol. 2, p-ISSN: 2078-0958, e-ISSN: 2078-0966, ISBN: 978-988-14047-0-1, pp.1-6. [15] Jain A., Bhatti, R., Singh, H. and Sharma, S.K. (2012), “Implementation of TPM for enhancing OEE of small scale industry”, International Journal of IT, Engineering and Applied Sciences Research, Vol. 1, No. 1, pp. 125-136. [16] Liu Yong, Zhu Jiajia, 2009, “TPM Orients Enterprises Towards Production Excellence: A Practical Analysis of OEE”, Master thesis in Production and Logistics Management, Malardalens University, Sweden, pp.1-62. [17] Nazim Baluch, Che Sobry Abdullah, Shahimi Mohtar, 2012, “Measuring OEE in Malaysian Palm Oil Mills”, Interdisciplinary Journal of Contemporary Research in Business, Vol. 4, No. 2, pp. 733-743. [18] Pradeep Kumar, K. V. M. Varambally, Lewlyn L.R. Rodrigues, 2012, “A Methodology for Implementing Total Productive Maintenance in Manufacturing Industries–A Case Study”, International Journal of Engineering Research and Development, e-ISSN: 2278-067X, p-ISSN:2278-800X, 5(2), pp. 32-39. [19] R. Raghuram, 2014, “Implementation of Overall Equipment Effectiveness (OEE)”, Middle-East Journal of Scientific Research, Vol. 20, No. 5, p-ISSN: 1990-9233, pp. 567-576. [20] Rhyne, D. M., 1990, “Total plant performance advantages through total productive maintenance”. [21] S.D. Kalpande, 2014, “OEE-An Effective Tool for TPM Implementation- A Case Study”, Proceedings of 8th International Quality Conference, Center for Quality, Faculty of Engineering, University of Kragujevac, pp.521-526. [22] S.R.Vijayakumar , S.Gajendran, 2014, “ Improvement Of Overall Equipment Effectiveness (OEE) in Injection Moulding Process Industry”, IOSR Journal of Mechanical and Civil Engineering, e- ISSN: 2278-1684, p-ISSN: 2320–334X, pp. 47-60. [23] T. Ahmed, S.M. Ali, M.M Allama, M.S. Parvez, 2010, “A Total Productive Maintenance (TPM) Approach to Improve Production Efficiency and Development of Loss Structure in a Pharmaceutical Industry”, Global Journal of Management and Business Research, Vol. 10, No. 2, pp.186-190. [24] Vinayak Suryawanshi, Rajesh Buktar, 2015, “Leveraging TPM for increase in the OEE of CNC Machine”, International Journal Of Modern Engineering Research, Vol. 5, No. 9, p-ISSN: 2249–6645, pp.18-26. [25] William M. Goriwondo, Samson Mhlanga, Tapiwa Kazembe, 2011, “Optimizing a Production System Using Tools of Total Productive Maintenance: Datlabs Pharmaceuticals as a Case Study”, Proceedings of the International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia, pp.1139-1144.

Limestone is mainly constituent of chemical compound calcium carbonate (CaCo3). It is basically called sedimentary rock substance. As per researchers it forms 10% of total volume of Sedimentary rock. The extrusion & Implementation of limestone in any form deals with ease of work and as a less pollutant for Environment, hence it can be massively used and utilized as a replacement to coarse aggregate in construction. This study deals with introduction of usage of local available limestone aggregates in concrete mix as a replacement for using normal coarse aggregates. In this research article Effect of limestone aggregate on Fresh and Hardened properties of high strength concrete were discussed, Substitution of the Local Available and Naturally occurring limestone aggregates as an Partial replacement for normal coarse aggregate material made for M50 grade .Adopting a suitable W/C ratio, Number of Specimens were casted and tested for different ages. The tests were conducted on casted specimens and results were discussed in detail in the discussion part of the article. From the test results, it clearly shows that usage of limestone aggregates in concrete will lie in range between 50% - 75 % replacements for M50. On further addition of Limestone aggregates in concrete it leads to decrease in strength properties and swelling is observed cause of repulsive charges of aggregates.

Keywords : limestone aggregate concrete, partial replacement for M50 grade and Fresh and Hardened properties

Recent

[1] Effect Of Limestone Fillers the physic-mechanical Properties Of Limestone concrete- Madani bederina., Zoubir makhloufi., Tayeb bouziani. [2] A. Comparative. Study. Of. Concretes. Containing. Crushed. Limestone. Sand and Natural. Sand- Yeol Choi., Jae-Hyuk Choi. Received December 6, 2012; revised January 10, 2013; accepted January 21, 2013 [3] Tikrit. Journal. Of. Engineering. Sciences./Vol.19/No.1./March 2012, (35-43), uses of Local .Limestone as Aggregate in Concrete .Mixture. Dr.Muyasser. M. Jomaa'h. [4] Mix proportioning and performance of a crushed limestone sandconcrete Makhloufi Z , Bouziani T , Bédérina M and Hadjoudja M J. Build. Mater. Struct. (2014) 1: 10-22 [5] 6th International Conference on Sustainability in Energy and Buildings, SEB-14 Impactof aggregate Type on air. Lime .mortar. Properties .Sarah .Scannell., Mike Lawrence., Pete Walker. [6] Concrete mix proportioning - guidelines is 10262 : 2009 [7] 6th International Conference on Sustainability in Energy and Buildings, SEB-14 Impact of aggregate type on air lime mortar properties Sarah Scannell*, Mike Lawrence, Pete Walker [8] Effect of limestone fillers the physic-mechanical properties of limestone concrete Madani bederina*, Zoubir makhloufi, Tayeb bouziani Laboratoire de Recherche de Génie Civil (LRGC). [9] Prabhakara R, Chethankumar N E, Atul Gopinath And Sanjith J , 2015. Experimental Investigations on Compression Behavior Parameters Of Nsc And Scc Intermediate Rc Columns. International Journal Of Civil Engineering & Technology (IJCIET).Volume:6,Issue: 8, Pages:100-117. [10] Manjunath, C. N., Mohan Kumar KN, and B. M. Kiran. "Studies on Shear Behavior of Normal Strength Polymer Modified Reinforced Concrete Beams." International Journal of Engineering Research and Technology. Vol. 4. No. 06, June-2015. ESRSA Publications, 2015.

As the number of vehicle increases on this earth, the traffic also increases which leads to scarcity of parking. Studies shows that 30% of traffic is in urban area is due to drivers looking for parking and not able to find proper parking location. The technology makes traffic management very easy using some sensors in the smart phones only. Application of smart phone sensors for checking parking availability is easy to implement idea since everyone nowadays carries Smartphone with them. In this paper we have discussed some available parking management applications and explained their limitations. we have proposed an system for parking availability using GPS sensor and Accelerometer sensor and implemented using android. Its limitations are discussed and future work is suggested.

Keywords : Parking, GPS, Accelerometer, Mobility, Wi-Fi, localization

Recent

[1] Donald C. Shoup. Cruising for parking. Transport Policy, 13(6):479-486, 2006. [2] Mike McDonald and Kiron Chatterjee. VMS in urban areas - Results of cross-project collaborative study. Technical Report TR1101 D3.3.1-a, Transport Sector of the Telematics Applications Programme (T-TAP), March 2000. [3] Nadereh Moini, David Hill, and Rooholamin Shabihkhani. Impact assessments of on-street parking guidance system on mobility and environ- ment. In Transportation Research Board 92nd Annual Meeting. Transportation Research Board, 2013. [4] SFPark. http://sfpark.org. [Online; accessed 4-December-2012]. [5] Suhas Mathur, Tong Jin, Nikhil Kasturirangan, Janani Chandrasekaran, Wenzhi Xue, Marco Gruteser, and Wade Trappe. Parknet: drive-by sens- ing of road-side parking statistics. In Proceedings of the 8th international conference on Mobile systems, applications, and services, MobiSys 10, pages [6] Parking sensor performance standards and measurement. http://sfpark.org/wp-content/uploads/2011/09/SFpark SensorPerformance v01.pdf. [Online; accessed 10-March-2013]. [7] Nawaz, Sarfraz, Christos Efstratiou, and Cecilia Mascolo. ”Parksense: A smartphone based sensing system for on-street parking.” Proceedings of the 19th annual international conference on Mobile computing & net- working. ACM, 2013.

This work has been carried out to study the effect of some welding parameters on the desired response in the Poly Vinyl Chloride work piece welding by hot air technique. There are three input variables i.e. hot air temperature, welding speed and air flow rate which has been evaluated on the Cross Breaking Load of the welded joints. The mathematical Modelling is developed using the analysis of variance (ANOVA) and experimental Modelling. Plots of significant factors and experimental Modelling have been used to validate the experimental values to the predicted values with the help of developed mathematical relation. This equation is further use to find the input variable values for desired output variable.

Keywords : P.V.C., Welding of PVC, Plastic, Temperature, Joining, Hot air welding, ANOVA technique, Experimental Modeling

Recent

[1] Vijay Kumar, M.I. Khan Development of Welding Procedure for Rigid P.V.C. Plastic by Hot air Technique. [2] Empirical modelling relating weld current of hot air and welding speed to stiffness of hot air welded P.V.C plastic. By “Mahmood Alam, Reyaz Ur Rehman and Mohd. Suhail. (ijtra) – Volume 2 issue 1, Jan-Feb 2015. [3] State- Of- The Art in rigid P.V.C plastic welding by hot air technique. By “Mahmood Alam, Dr M.I. Khan. (ijtra) – Volume 1, issue 2 may-June 2013. [4] Study And Empirical Modelling Relating Welding Parameters And Tensile Strength Of Hot Air Welded PVC Plastics. By “Mahmood Alam, Dr Shahnawaz Alam, Kamran Rasheed. (ijtra)- Vol. 2 issue 2, February 2015. [5] M. Rojek a, J. Stabik a,*, G. Muzia. Thermography in Plastics Welding Processes assessment VOLUME 41 ISSUES 1-2 July- August 2010 [6] Thomas H.North and Geetha Ramarathnam, University of Toranto Welding of Plastics. [7] O. Balkan a,*, H. Demirer b, H. Yildirim c Morphological and Mechanical Properties of Hot Gas Welded PE, PP and PVC sheets Volume 31 Issues 1 November 2008. [8] W. S. Alley/ P. N. Baker Chapter-2 Joining and Assembly of Plastics, Volume-2 Identification, Testing and Recycling of Plastics, Handbook of plastic technology. [9] Thermally Bonded PVC seams Phase 1 “State- Of- The- Art & Preliminary Welding windows Tri/Environmental, INC, A Texas research international company. [10] D. Grewell. A. Benatar Agricultural and Biosystems Engineering. Iowa State University, Ames, IA, USA welding of plastic: Fundamentals and New developments. [11] James D. Van de Ven, Arthur G Erdman, Mechanical Engineering Department, University of Minnesota, Minnesota 55455,Hot Pin Welding of Thin Poly (vinyl Chloride) sheet. [12] Joining of plastics and composites –Mladen Sercer, university of Zagreb, Croatia. Pero Roas, University of Osijek, Croatia. [13] American plastic welding technologies, Hot Air Welding Guide For Plastic Repairs www.bak-ag.com [14] A text book of Welding Technology O. P. Khanna. [15] R.P. Wool, Molecular aspects of tack, Rubber chemistry and technology 57/2 (1982) 307-319. [16] Guide Line for Welding Thermoplastic Materials (Hot gas hand and hot gas extrusion welding), Wegener Welding Experts, www.wegenerwelding.com. [17] Md Shakibul Haque, Inayat Hussain, Athar Hussain and Mohd Anees Siddiqui, An Experimental Analysis to Determine the Effects of WeldingParameters on Tensile Strength of Hot Air Welded Poly VinylChloride (PVC) Plastic, Samridhi -JPSET : Vol. 7, Issue 2, ISSN : 2229-7111 (Print) & ISSN : 2454-5767 (Online).

In this paper we explain the multilingual speaker identification system. Speaker identification is conducted on 3 Indian languages (Hindi, Marathi and Rajasthani). We create a database of 25 person in each language. In our system we use 3 different sentences and each sentence in 3 language. We focus on the effect of language mismatch in the speaker identification performance of individual languages and all languages together. Mel Frequency Cepstrum Coefficient (MFCC) is used for feature extraction. The standard SVM-based speaker identification is used.

Keywords : Mel Frequency Cepstrum Coefficient(MFCC), Support Vector Machine(SVM)

Recent

[1] Sourjya Sarkar, K. Sreenivasa Rao, Dipanjan Nandi and Sunil Kumar,"Multilingual Speaker Recognition on Indian Languages", Annual IEEE India Conference (INDICON) 2013. [2] Javier Gonzalez-Dominguez, Member, IEEE, David Eustis, Ignacio Lopez-Moreno, Member, IEEE, Andrew Senior, Senior Member, IEEE, Françoise Beaufays, Senior Member, IEEE, and Pedro J. Moreno, Senior Member, IEEE ,"A Real-Time End-to-End Multilingual Speech Recognition Architecture", IEEE Journal of Selected Topics In Signal Processing, VOL. 9, NO. 4, JUNE 2015. [3] Michal ADAMSKI, Prof. Basie VON SOLMS,"An Open Speaker Recognition Enabled Identification and Authentication System",IST-Africa 2014 Conference Proceedings Paul Cunningham and Miriam Cunningham (Eds) IIMC International Information Management Corporation, 2014. [4] Shigeki Matsuda, Xinhui Hu, Yoshinori Shiga, Hideki Kashioka, Chiori Hori, Keiji Yasuda, Hideo Okuma, Masao Uchiyama, Eiichiro Sumita, Hisashi Kawai, and Satoshi Nakamura,"Multilingual speech-to-speech translation system:VoiceTra",IEEE 14th International Conference on Mobile Data Management 2013. [5] Hui Lin∗†, Jui-ting Huang∗‡, Franc¸oise Beaufays∗, Brian Strope∗, Yun-hsuan Sung," Recognition of Multilingual Speech in Mobile Applications", 978-1-4673-0046-9/12/$26.00 ©2012 IEEE. [6] U. Bhattacharjee and A. Sarmah, “A multilingual speech database for speaker recognition,” in Proc. IEEE International Conference on Signal Processing, Computing and Control (ISPCC), 2012, pp. 1–5. [7] K. S. Rao, S. Maity, and V. R. Reddy, “Pitch synchronous and glottal closure based speech analysis for language recognition,” International Journal of Speech Technology, vol. Springer (Accepted, DOI: 10.1007/s10772-013-9193-5), 2013. [8] S. Maity, A. Vuppala, K. S. Rao, and D. Nandi, “IITKGP-MLILSC Speech Database for Language Identification,” in Proc. IEEE 18th National Conference on Communications, 2012, pp. 1–5. [9] V. R. Reddy, S. Maity, and K. S. Rao, “Identification of Indian languages using multi-level spectral and prosodic features,” International Journal of Speech Technology (Springer), vol. DOI: 10.1007/s10772-013-9198- 0, 2013 [10] K. S. Rao, S. Maity, and V. R. Reddy, “Pitch synchronous and glottal closure based speech analysis for language recognition,” International Journal of Speech Technology (Springer), vol. DOI: 10.1007/s10772- 013-9193-5, 2013. [11] B. Nagaraja and H. Jayanna, “Multilingual Speaker Identification with the Constraint of Limited Data Using Multitaper MFCC,” pp. 127–134, 2012. [12] H. Caesar, “Integrating language identification to improve multilingual speech recognition,” Idiap, Idiap-RR Idiap-RR-24–2012, no. 7, 2012. [13] H. Lin, J. T. Huang, F. Beaufays, B. Strope, and Y. H. Sung, “Recognition of multilingual speech in mobile applications,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), Mar. 2012, pp. 4881–4884. [14] J. Dean, G. Corrado, R. Monga, K. Chen, M. Devin, Q. Le, M. Mao, M. Ranzato, A. Senior, P. Tucker, K. Yang, and A. Ng, “Large scale distributed deep networks,” in Advances in Neural Information Processing Systems 25, P. Bartlett, F. Pereira, C. Burges, L. Bottou, and K. Weinberger, Eds. Cambridge, MA, USA: MIT Press, 2012, pp. 1232–1240. [15] G. Heigold, V. Vanhoucke, A. W. Senior, P. Nguyen, M. Ranzato, M. Devin, and J. Dean, “Multilingual acoustic models using distributed deep neural networks,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2013, pp. 8619–8623. [16] I. Lopez-Moreno, J. Gonzalez-Dominguez, O. Plchot, D. Martinez, J. Gonzalez-Rodriguez, and P. Moreno, “Automatic language identification using deep neural networks,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2014, pp. 5337–5341. [17] A. Mohamed, G. Dahl, and G. Hinton, “Acoustic modeling using deep belief networks,” IEEE Trans. Audio, Speech, Lang. Process., vol. 20, no. 1, pp. 14–22, Jan. 2012. [18] G. Hinton, L. Deng, D. Yu, G. Dahl, A. Mohamed, N. Jaitly, A. Senior, V. Vanhoucke, P. Nguyen, T. Sainath, and B. Kingsbury, “Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,” IEEE Signal Process. Mag., vol. 29, no. 6, pp. 82–97, Nov. 2012. [19] D. Ciresan, U. Meier, L. Gambardella, and J. Schmidhuber, “Deep big simple neural nets excel on handwritten digit recognition,” CoRR, vol. Abs/1003.0358, 2010. [20] D. Yu and L. Deng, “Deep learning and its applications to signal and information processing, Exploratory DSP,” IEEE Signal Processing Mag., vol. 28, no. 1, pp. 145–154, Jan. 2011.

Electro Discharge Machining (EDM) is used for machining electrically conducting /semi conducting, tough and brittle material .This process is best suited for making intricate cavities and contour, dies, section of complex geometry, moulds. The work piece material selected for this study is mild steel and tool is copper electrode. Dielectric flow rate, discharge current, pulse on time, pulse off time is considered as input parameters. In the present work ANOVA analysis is used to study the significance of process variable on Material Removal Rate (MRR) and Tool Wear Rate (TWR) by using simple conduction equations, we can calculate the energy transferred to each for material removal rate and tool wear rate. Also energy transferred to work piece, tool and dielectric fluid can be calculated by using conduction equation, convection equation, energy carried away by debris, and the best suited input parameters can be found for the maximum energy transfer to work piece. After than energy responsible for tool wear were calculated and the optimum parameter are found in order to minimize the tool wear The energy distribution in the electrical discharge machining (EDM) process is most important phenomenon for study the variation of fraction of input discharge energy with the help of thermo-mathematical models during EDM of mild steel by varying the machining parameter current and pulse duration.

Keywords : EDM,Conduction,Convection,MRR,TWR

Recent

[1] Harminder singh; “Experimental study of distribution of energy during EDM process for utilization in thermal models”. International journal of heat and mass transfer vol. 55, pp 5053-5064, 2012. [2] Harminder singh; “Optimizing electric discharge machining parameters for tungsten-carbide utilizing thermo-mathematical modelling” International Journal of Thermal Sciences vol. 59, pp 161-175, 2012. [3] Akira Okada, Yoshiyunki uno and Isao Okajima; “Energy distribution in electrical discharge machine with graphite electrode” memoirs of the faculty of engineering, Okayama University, vol. 34, pp 19-26, 2000. [4] S. N. Joshi, S.S. Pandey; “Thermo physical modeling of die-sinking EDM process” Journal of manufacturing process vol. 12, pp 45-56, 2010. [5] Sumesh Kapila and Dinesh Kumar “Study of material removal rate of H11 die tool steel during electric discharge machining at normal polarity” International journal of mechanical engineering and robotics research Vol. 3, pp 3, 2014. [6] M Gostimirovic, P Kovac and M Sekulic “An inverse heat transfer problem for optimization of the thermal process in machining” Indian Academy of Sciences., Sadhana Vol. 36, Part 4, August 2011, pp. 489–504. [7] S.R.Nipanikar “Parameter optimization of electro discharge machining of AISI D3 steel material by using Taguchi Method” Journal of Engineering Research and Studies, vol. 3, pp 07-10, July – September, 2012. [8] Yang Shen, Yonghong Liu, Yanzhen Zhang, Bin Tan “Determining the energy distribution during electric discharge machining of Ti–6Al–4V” Springer-Verlag London 2013. [9] Simaranjit Singh Sidhu, R. S. Rajoria, and C.S. Kalra “ Multi Response Optimization of material removal rate and Overcut in EDM using RSM” IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), vol. 11, pp 28-34, July-August 2014. [10] Nimo Singh Khundrakpam, Amandeep Singh, Jasvir Singh, Som Kumar “Experimentally study the effect of polarity and tool hole Diameter in EDM Responses” International Journal of Science, Engineering and Technology Research (IJSETR), Volume 3, Issue 4, April 2014. [11] Anurag Sharma, Manabu Iwai, Kiyoshi Suzuki and Tetsutaro Uematsu “ Potential of electrically conductive chemical vapour deposited diamond as an electrode for micro-electrical Discharge machining in oil and water” New Diamond and frontier carbon Technology vol. 15, No. 4 2005. [12] William D. Callister, David G. Rethwisch, “Material Science and Engineering an Introduction” 8th edition.

Construction projects are a balance between cost, time and quality. It is possible to have high quality and low cost, but at the expense of time, and conversely to have high quality and a fast project, but at a cost. If both time and money are restricted, then quality is likely to suffer. High quality is not always the primary objective for the client; time or cost may be more important. It is only realistic to specify a very high standard of quality if the budget is available to achieve that standard. The need for KPI in construction projects has increased considerably in recent times due to significant changes, advancements in technology and high expectation of the users. The KPI maintain uniformity in construction process and ensure more economical utilization of materials resulting in significant reduction in cost to the users. This type of study has become necessary when the construction industry is encountering a quality issues day by day. Critical parameters or key indicators are necessary to introduce at planning stage when PQP is preparing which divert us to concentrate for quality. This study is carried out by questionnaire and Delphi techniques on quality of certain important activities. This study leads to know critical parameters or key indicators of an activity and their contribution. These indicators can be used for internal qualitative improvement which ultimately improves business, reputation.

Keywords : Construction Projects, KPI, PQP, Quality

Recent

[1] A .C.Panchdhari, “Inspection and Quality Control Inbuilding Work”, 3rdedition. [2] Construction Plans Quality Control / Quality Assurance Manual, August 2008. [3] Deming E., "Quality Assurance for Contractors", FCEC, London, 1989. [4] Desmond, David J.: "Quality Control Work Book", Gower Press Limited, London, 1971. [5] Dr. Mir Iqbal Faheem & Dr. Vellanki S.S Kumar, Nicmar-Journal of Construction Management, October-December2009, Pages5-14. [6] Griffith A, Quality Assurance in Building, Mcmillan Education Limited, London. [7] Jon Harrison, CQE Senior Quality Engineer Construction Quality Assurance White Paper February 2005. [8] Philips Crosby,” Quality is Free” 4th Edition. [9] Terry Hughes “Quality Assurance”, Second Edition. [10] Quality Assurance and Quality Control, Chapter 8, Quality Assurance And Quality Control, IPCC [11] Good Practice Guidance And Uncertainty Management In National Greenhouse Gas Inventories [12] Quality Assurance and Quality Control Process Guide for Project Managers, MDOT Trunk Line Projects, January 2005.

The study in this paper describes retrospective view of the escalator accidents. It also deals with the epidemiology of escalator allied injuries among adults and even in children from the delineation of Consumer Product Safety Commission (CPSC) and National Electronic Injury Surveillance System (NEISS). Invention of escalators has facilitated the travel of passengers in large number. It strengthened the power of technology at the same time it frightened the pedestrians, remembering that it is dangerous if it is used in a careless manner. Work in this paper gives a clear cut view of the escalator linked accidents, preventive measures required to overcome the fear called "escalator-accident". This paper also gives the classification of the escalator accidents in terms of age groups of the people using escalators and also in terms of escalator correlated injuries. It also describes the percentage distribution of the accidents among different age grouped people. CPSC has found that the escalator implicated accidents are more in number than those compared with that of the elevator related accidents. Escalator linked injuries occur more frequently and this frequency of occurrence results in significant trauma.

Keywords : Escalator; Accidents; Children; Elders; Preclusion

Recent

[1] Choovoravech N, Choovoravech P, "Escalator injuries in Thai children", Journal of the Medical Association of Thailand, Vol. 58, pp. 442-444, 1975. [2] A. De Almeida et al. “Energy-efficient elevators and escalators in Europe: An analysis of energy efficiency potentials and policy measures”, Energy and Buildings, vol. 47, pp. 151-158, 2012. [3] N. L. Zhang, C. Liu, et al., "Technology of Risk Analysis". Xi’an: Xi'an University of Electronic Science and Technology Press, 2007. [4] S. F. Lin, J. Y. Chen and H. X. Chao, "Estimation of number of people in crowded scenes using perspective transformation”, Systems, Man and Cybernetics, Part A, IEEE Transactions, Vol. 31, No. 6, pp. 645–654, 2001. [5] McGeehan, Jennifer; Shields, Brenda J; Wilkins III, JR; Ferketich, Amy K and Smith, Gary A, "Escalator-Related Injuries Among Children in the United States, 1990-2002 Pediatrics, Vol. 118, No. 2, 2006. [6] Wei Wang, Xuan Li, Qun-Li Pan, "Risk Management Based on The Escalator Overturned Accident", International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering (QR2MSE), 2013. [7] Platt, Shari L; Fine, Jeffery S and Foltin, George L, "Escalator-related Injuries in Children", Pediatrics, Vol. 100, No. 2, 1997. [8] Chia-Fen Chi, Tin-Chang Chang, Chi-Lin Tsou, "In-depth investigation of escalator riding accidents in heavy capacity MRT stations", Accident analysis and Prevention, Vol. 38, No. 4, pp. 662-670, 2006. [9] Joseph O’Neil, Gregory K. Steel, Carrie Huisingh, Gary A. Smith, "Escalator-related injuries among older adults in the United States 1991–2005", Accident, Analysis and Prevention, Vol. 40, No. 2, pp. 527-533, 2008. [10] Kazuhiro Hirota, Shogo Namatame, and Nobuto Matsuhira,“Development of an escalator riding robot: Experiment of riding on an up escalator”, IEEE International Conference on Automation Science and Engineering, pp. 1206-1211, 2014. [11] Cameron Nicolson, "Risk mitigation associated with airport escalator and moving Sidewalk operations", Calgary airport authority, IAAE Canada accreditation candidate, Management Paper requirements of the International Association of Airport Executives Canada, 2008. [12] Chen, J. S et al, "A multivariate regression model predicted falls in residents living in intermediate hostel care", Journal of Clinical Epidemiology, vol. 58, pp. 503–508, 2005. [13] C. Harris and M. Stephens, "A combined corner and edge detector", in Alvey Vision Conference, pp. 147–152, 1988. [14] C. Meng, "Analyses of safety hazard and solutions one escalator", Journal Equipment Manufacturing Technology, Vol. 18, No. 4, pp. 199-200, 2011. [15] T. Raz and E. Michael, "Use and benefits of tools for project risk management", International Journal of Project Management, Vol. 19, No. 1, pp. 9-17, 2001. [16] A. R. Green, "New techniques in assessment mine risk", In Proceedings of 26th International Conference of Safety in Mine Research Institute, pp. 113-117, 1995. [17] Chonghui Song, Jingman Zhang, Yandong Wei, Chunyuan Bian, GeLi, "Group control of Escalators: Modelling Based on Data and Optimization of Distribution", 3rd International Conference on Intelligent Human-Machine Systems and Cybernetics, pp.197-200, 2011. [18] Hopkins, R. S., "Consumer product-related injuries in Athens, Ohio, 1980–1985: assessment of emergency room-based surveillance”, American Journal of Preventive Medicine, Vol. 5, No. 2, pp. 104–112, 1989. [19] G. Aggarwal, R. Motwani, and A. Zhu, “The Load Rebalancing Problem”, Journal of Algorithms, Vol. 60, No. 1, pp. 42–59, 2006. [20] Davis, Y, Annest, J. L., Powell, K. E., Mercy, J. A., "An evaluation of National Electronic Injury Surveillance System for use in monitoring nonfatal firearm injury and obtaining national estimates", J. Safety Res, Vol.27,pp.83–91,1996.

Data leakage ad security of data is an essential component of cloud computing, most of the data has been proceed through third party application (TPA) and user are unaware about the security essentials. The internet based computing model provide shared resource to provide data on demand, such model provide service over the internet with computing resources. The TPA who expertise and provide crossing point between the user and the cloud service provider who facilitate service between them, the data store over cloud is passes through TPA in plain text and then it encrypted using the third party application. It might be possible that data can easily leaked over the internet, in this paper the proposed approach is to detect when the distributor’s sensitive data has been leaked by agents, and if possible to identify the agent that leaked the data. Perturbation is a very useful technique where the data is modified and made less sensitive before being handed to agents and encryption algorithm SHA provide security of sensitive data before uploading over the internet cloud. The proposed model also provide security of data before uploading through TPA and after successfully upload data the secret key is shared with original user without intercepting TPA.

Keywords : Data Leakage, Cloud Computing, data Security, SHA, Third Party Agent, Fake Object

Recent

[1] Chandu Vaidya and Prashant Khobragade,2015, “Data Security in Cloud Computing”, ISSN: 2321-8169 . [2] Sandip A. Kale, Prof. S.V.Kulkarni,” Data Leakage Detection”, International Journal of Advanced Research in Computer and Communication Engineering,Vol. 1, Issue 9, November 2012 [3] Prof. Sushilkumar N. Holambe, Dr.Ulhas B.Shinde, Archana U. Bhosale,”data Leakage Detection Using Cloud Computing ”, International Journal Of Scientific & Engineering Research, Volume 6, Issue 4,( April-2015) [4] Ms. N. Bangar Anjali, Ms. P. Rokade Geetanjali, Ms. Patil Shivlila, Ms. R. Shetkar Swati,Prof.NB Kadu,” DATA LEAKAGE DETECTION”, IJCSMC, ISSN 2320–088XVol. 2, Issue. 5, May 2013 [5] Anusha Koneru, G. Siva Nageswara Rao, J.Venkata Rao,” Data Leakage Detection Using Encrypted Fake Objects”, IJCSNS International Journal of Computer Science and Network Security, VOL.14 No.3, March 2014 [6] Priyanka Barge, Pratibha Dhawale, Namrata Kolashetti,” A Novel Data Leakage Detection”, International Journal of Modern Engineering Research (IJMER) ISSN: 2249-6645 ,Vol.3, Issue.1, Jan-Feb. 2013 [7] Archana Vaidya, Prakash Lahange, Kiran More, Shefali Kachroo and Nivedita Pandey,” Data Leakage Detection”, International Journal of Advances in Engineering & Technology, ISSN: 2231-1963, March 2012. [8] Prashant Khobragade, Latesh G. Malik,“A Review on Data Generation for Digital Forensic Investigation using Datamining”, IJCAT International Journal of Computing and Technology, Volume 1, Issue 3, April 2014. [9] Jon Brodkin, "Gartner: Seven cloud-computing security risks". InfoWorld. 2008-07-02. Retrieved 2010-01-25. [10] Khobragade, P. K., & Malik, L. G., “Data Generation and Analysis for Digital Forensic Application Using Data Mining”. In Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on (pp. 458-462). IEEE. April, 2014. [11] Panagiotis Papadimitriou, Hector Garcia-Molina,” Data Leakage Detection”, IEEE transactions on knowledge and data engineering, vol. 23, no. 1, January 2011 [12] Chandu Vaidya etl. & BE scholars “Data leakage Detection and Dependable Storage Service in cloud Computing” IJSTE volume 2 issues 10 April 2016 ISSN online 2349-784X

Advertising has persuasive and powerful influence on society. It is also called a social process. It contributes substantially to social marketing. Both the profit and not-for-profit making organizations have been found using this tool to inform and persuade prospects. The multi-dimensional role of advertisement makes it a powerful and impact generating tool. The advertisements meant for social awareness are often seen in audio-visual media. A large group of viewers and readers come across it every day. People are not completely ignorant about the various social issues and evils prevailing in the society. The need of the hour is proper utilization of the funds and aid provided by Government for betterment of society. This could be achieved by mass communication and creating mass awareness in the target population.

Keywords : Societal Advetisements

Recent

[1] Dr Mamta Mishra, Shrikant Dharmadhikari, A Comparative Analysis of Corporate Social Responsibility of Selected Manufacturing Companies, International Journal of New Innovations in Engineering and Technology, Volume 4 Issue 2 January 2016, ISSN : 2319-6319, Impact factor 4.012, 37-41 [2] Dr Mamta Mishra, Anuradha Mahajan, A study of consumption pattern towards selected personal care products in teenagers, International Journal in Management & Social Science ISSN: 2321–1784, Vol.04 Issue-02 (February, 2016), Impact Factor 5.276, 555-562. [3] Dr Mamta Mishra, Tapan Patel, Understanding consumers’ online purchasing behaviors in Pune city, Journal for Research, Volume 1 Issue 12, February 2016, ISSN 2395- 7549, Impact Factor 3.654, 12-17 [4] Debashree Mukhrjee, Ishita Mukharjee, Primary Education: Contemporary Issues and Experiences, ICFAI University Press, ISBN-10: 8131419215 [5] Lahiri Sangeeta, Debashree Mukhrjee, Women Education and Empowerment, ICFAI University Press, [6] DeSouza Peter, Sanjay Kumar, Sandeep Shastri, Indian Youth in a Transforming World- Attitudes and Perceptions, Sage Publishing, ISBN: 9788132101710 [7] The Small Hands Of Slavery, Bonded Child Labour In India, Human Rights Watch Children's Rights Project

While preparing the composite preform in the powder metallurgy Lab, the various defects due to porosity, open crack and residual stresses are possible. This may lead to poor life and strength of materials. It is difficult to predict the defects in the form of pores physically in the powder metallurgy Lab. To simplify this kind of problem, the Scanning Electron Microscope (SEM) images are generated from the powder composites and are segmented using region growth approach to find the distribution of pores. Normally, the composite preforms are being produced through various processes like mechanical milling, mixing, compaction, sintering and hot extrusion. In this study, Cu–(5–20%) W composite preforms, with a preform density of 94% are prepared. The pore size in term of coverage area, perimeter during different sintering atmospheres are derived. Further, the porosity is reduced during extrusion process. The results of SEM images are compared before and after sintering and extrusion process. This kind of work will aid the manufacturing process of material parts in predicting their strength and life time.

Keywords : : Image segmentation, Region growing, composites, porosity analysis

Recent

[1] Rafael C.Conzalez, Richard E.Woods, Steven L.Eddins, “Digital Image processing”, Pearson Education, 2008. [2] N. Leema, P.Radha, S.C. Vettivel, H. Khanna Nehemiah, “Characterization, pore size measurement and wear model of a sintered Cu–W nano composite using radial basis functional neural network”, Materials and Design 68 (2015) pp.195–206. [3] Shwetabh Singh, “Microscopic Image Analysis of Nanoparticles by Edge Detection using Ant Colony Optimization”, IOSR Journal of Computer Engineering 11(3) (2013) pp. 84-89. [4] Azmi Tawfik Alrawi , Saad Jasim Mohammed, “Determination The Porosity of CdS Thin Film by Seed Filling Algorithm”, International Journal on Soft Computing 3(3) (2012) pp:1-12 [5] Meena Sundari P.,Meenambal T.,and P. D. “Arumairaj, Artificial Neural Networks based prediction of removal of basic dye from its aqueous solution using activated carbon”, Proceedings of the 3rd World Conference on Applied Sciences, Engineering and Technology 27-29, Kathmandu, Nepal, ISBN 13: 978-81-930222-0-7, (2014) pp 313-317. [6] Gary Chinga, “Structural studies of LWC paper coating layers using SEM and image analysis Techniques”, Ph.D. thesis, Norwegian University of Science and Technology, February 2002. [7] Manuel F.M.Costa, “Application of image processing to the characterization of nano structures”, Advanced Material Science 6 (2004) pp.12-20. [8] M. G. Cortina-Januchs, J. Quintanilla-Dominguez,, A. Vega-Corona, A. M. Tarquis,D. Andina, “Detection of pore space in CT soil images using artificial neural networks”, Biogeo sciences, 8, (2011) pp.279–288. [9] Aref Naimzad, Yousef Hojjat, Mojtaba Ghodsi, “Comparative Study on Mechanical and Magnetic Properties of Porous and Nonporous Film-shaped Magneto rheological Nanocomposites Based on Silicone Rubber” International Journal of Innovative Science and Modern Engineering, 2(8) (2014) pp:11-20. [10] Ahmet H. Aydilek, A.M.ASCE; Seyfullah H. Oguz,, and Tuncer B. Edil, M.ASCE ,” Digital Image Analysis to Determine Pore Opening Size Distribution of Nonwoven Geotextiles:, Journal of computing in civil engineering, Vol:16,issue:4, (2002) pp: 280-290. [11] Shawn Zhang, Robert E. Klimentidis, Patrick Barthelemy, “Study of membrane morphology of SEM image of polymer nanocomposite membrane by digital Image processing”, International Symposium of the Society of Core Analysts held in Austin, Texas, USA, 2011.