@Research Paper
<#LINE#>Enhanced security for video steganography using discrete wavelet packet transform<#LINE#>Sahu@Parinita,Sinha@Swapnil <#LINE#>1-7<#LINE#>1.ISCA-RJEngS-2017-097.pdf<#LINE#>Department of ETC, GDRCET, Kohka Bhilai, India@Dept. of Electronics and Telecommunication Engg., GDRCET, Kohka Bhilai, India<#LINE#>8/4/2017<#LINE#>2/7/2017<#LINE#>Now the world became more digitalized and the digital communication over the internet increases day by day. At present days the digital data is widely transfer over the internet and the whole information of living being has been uploaded on the server. With the increase of internet use, the misuse of private data also increases. There exist are many hackers and they may easily hack our private data too. So now a days security of private data has become major part of concern. For the prospective of security, cryptography and steganography of secret data can be used. In cryptography the original secret message is converted into ciphertext that is ununderstood. While in steganography technique the secret data is hiding in cover media. Cover media may be multimedia file such as data, images, audios and videos. In this paper we are introducing video steganography technique using discrete wavelet packet transform (DWPT). Additional security can be achieved by using combined cryptography and steganography for better security of secret information. Result shows that the video steganography using discrete wavelet transform provide better performance parameter as compare to other technique of steganography.<#LINE#>Thakur Abhinav, Thakur Harbindar and Sharda Shikha (2015).@Secure Video Steganography Based on Discrete Wavelet Transform.@International journal of computer application., 123(11), 25-29.@Yes$Sweta V., Prajit V. and Kshema V. (2015).@Data Hiding Using Video Steganography- A Survey.@International Journal of Science, Engineering and Computer Technology, 5(6), 206-213.@Yes$Wajgande Vipul Madhukar and Kumar Suresh (2013).@Enhancing Data Security Using Video Staganography.@International journal of emerging technology and advance engineering, 3(4), 549-552.@Yes$Prabhakaran G. and Bhavani R. (2012).@A Modified Secure Digital Image Steganography Based on Discrete Wavelet Transform.@International conference on computing, electronics and electrical technologies, 1096-1100.@Yes$Balaji R. and Naveen G. (2011).@Secure Data Transmission Using Video Steganography.@IEEE international conference on electro/information technology, 1-5.@Yes$Mandal Pratap Chandra (2014).@A Study of Steganography Technique Using Discrete Wavelet Transform.@Journal of global research in computer science, 5(5), 7-14.@Yes$Chae J.J. and Manjunath B.S. (1999).@Data hiding in Video.@IEEE Proceedings 1999 International Conference on Image Processing , 1, 311-315.@Yes$Liu Qingzhong, Andrew H. and Qiao Mengyu (2008).@Video Steganography Based on the Expanded Markov and Joint Distribution on the Transform Domains.@IEEE 2008 seventh international conference on machine learning and applications, 671-674.@Yes$Patel Khushman, Rora Kul Kauwid, Sing Kamini and Verma Shekhar (2013).@Lazy Wavelet Transform Based Steganograohy in Video.@IEEE 2013 international conference on communication system and network technologies, 497-500.@Yes$Negi Pooran singh and Labate Demetrio (2012).@3D Discrete Shearlet Transform and Video Processing.@IEEE transactions on Image processing, 21(6), 2944-2954.@Yes$Khare Richa, Mishra Rachana and Arya Indrabhan (2014).@Video Steganography By LSB Technique using Neural Network.@IEEE 2014 sixth international conference on computational intelligence and communication networks, 898-902.@Yes$Kour Prabhjot (2015).@Image Processing using Discrete Wavelet Transform.@International journal of electronics and communication, 3(1).@Yes
@Research Article
<#LINE#>Designing and contrastive inquisition of spread-isolated and strap-combined footing underlying economical criterion and behavioural aspects pursuant to Chhattisgarh region in India<#LINE#>Rathore@Vikram Singh,Gupta@M.K. <#LINE#>8-18<#LINE#>2.ISCA-RJEngS-2017-021.pdf<#LINE#>Department of Structural Engineering (Civil Branch), Bhilai Institute of Technology, Durg, Chhattisgarh, India@Department of Structural Engineering (Civil Branch), Bhilai Institute of Technology, Durg, Chhattisgarh, India<#LINE#>8/4/2017<#LINE#>6/7/2017<#LINE#>Footing in civil engineering can be defined as structural rudiments that transfuse column or wall loads to the fundamental soil underneath the structure. Footing make sure that load transmission to the soil occurs without anomalize its safe bearing capacity, to forestall excessive settlement of the edifice to a tolerable limit, to denigrate discriminative settlement, and to prevent sliding and overturning. In this paper we have done an elaborative designing of spread and strap footings wherein the load effect is considered to be same. In order to antomize in a proper manner we have considered two isolated spread footings and one combined strap footing. The whole analysis of both footings is based on many parameters out of which most importantly our engrossment lies on the exercise based on economical point of view and on the behavioural aspects of both the footings. The observations taken are based on footings used in applicable places such as residential or commercial buildings surrounding the area of Chhattisgarh region, in India.<#LINE#>Punmia B.C., Jain A.K. and Jain A.K. (2013).@RCC Designs, Laxmi Publications, India.@ISBN: 978-81-31809-42-6.@No$Ramamrutham S. (1981).@Design of reinforced concrete structers.@Dhanpat Rai & Sons, India, ISBN-13: 978-81-87433-12-5.@No$Edin O’Brien (2017).@Strap Footing or Cantilever Footing.@http://www.abuildersengineer.com/2012/11/strap-footing-or-cantilever-footing.html, 06-03-2017.@No$Apostolos Konstantinidis,Construction and Detailing, http://www.buildinghow.com/en-us/Products/Books/Volume-A/The-reinforcement-II/Foundation/Spread-footings, 08-03-2017.@undefined@undefined@No$IS 456:2000 Pg. No. 16,63,65,66 Table No.2.,clause 34.4 Transfer of Load at the Base of Column.@undefined@undefined@No$IS :1904-1986 clause 16.3 criteria for settlement for shallow foundation.@undefined@undefined@No$Edin O’Brien (2012).@Strap Footing[Drawing].@retrieved from http://www.abuildersengineer.com/2012/10/shallow-foundation-strap-footings.html@No$Edin O’Brien (2012).@Spread Footing[Drawing].@retrieved from http://www.abuildersengineer.com/2012/10/shallow-foundation-strap-footings.html@No$Punmia B.C. (2013).@Bending Moment and Shear Force.@RCC Designs, 440@No$Punmia B.C. (2013).@Reinforcement Detailing of Strap Footing.@RCC Designs, 451@No$Pradhan D.K. (2015) in Public Works Department Schedule for rates for Building Work, 2015, Raipur, Chhattisgarh@undefined@undefined@No
<#LINE#>Performance measurement of different M-Ary phase signalling schemes in AWGN channel<#LINE#>Singh@Awadhesh Kumar ,Singh@Nar  <#LINE#>19-23<#LINE#>3.ISCA-RJEngS-2017-088.pdf<#LINE#>Department of Electronics & Communication, University of Allahabad, Uttar Pradesh, India@Department of Electronics & Communication, University of Allahabad, Uttar Pradesh, India<#LINE#>8/4/2017<#LINE#>8/7/2017<#LINE#>It is most important in design of digital communication systems to receive correct and errorless data at the receiver end with least SNR and bandwidth. The performance of M-ary PSK communication system is analyzed in terms of probability of error considering AWGN channel. The performance is compared for M =4, 8, 16, 32 in MATLAB Simulink environment. It is observed that SNR requirement for a given BER increases as M increases while bandwidth efficiency increases with M. Further M-PSK systems are bandwidth efficient and have large data carrying capacity.<#LINE#>Taub Herbert, Schilling Donald and Saha Goutam (2008).@Principles of Communication Systems.@Tata McGraw- HILL Publishing Company Limited, India, 321-341. ISBN-13:978-0-07-064811-1@No$Sklar Bernard and Ray Pabitra Kumar (2009).@Digital Communications.@Fundamentals and Applications, Pearson Education, India 30-33. ISBN:978-81-317-2092-9@No$Proakis John G. (1985).@Digital Communications.@McGraw Hill Book Co. Singapore, 156-171. ISBN:0-07-118183-0@No$Malleswari Naga P. (2015).@Simulink Based Comparative Analysis of M-ary Phase Shift Keying Modulation Schemes.@IJIREC, 2(3), 9-18.@Yes$Kaur Harjot, Jain Bindiya and Verma Amit (2011).@Comparative Performance Analysis of M-ary PSK Modulation Schemes using Simulink.@IJECT, 2, 204-209.@Yes
<#LINE#>Simulation of force sensor based on ring resonator in photonic crystal structure<#LINE#>Sanghvi@Anjali S.,Sahu@Vikas,Shrivastava@Sharad Mohan <#LINE#>24-27<#LINE#>4.ISCA-RJEngS-2017-111.pdf<#LINE#>Department of Electronics and Telecommunication, Shri Shankaracharya Technical Campus, Bhilai, Durg, Chhattisgarh-491001, India@Department of Electronics and Telecommunication, Shri Shankaracharya Technical Campus, Bhilai, Durg, Chhattisgarh-491001, India@Department of Electronics and Telecommunication, Shri Shankaracharya Technical Campus, Bhilai, Durg, Chhattisgarh-491001, India<#LINE#>8/4/2017<#LINE#>11/7/2017<#LINE#>In this paper, we have presented the design of resonator structure in photonic crystals to improve two parameters i.e., Quality Factor and Sensitivity. Photonic Crystal based force sensor includes hexagonal rings in 2-D Photonic Crystal silicon slab of hexagonal lattice which are to be integrated on the top of Silicon Microcantilever for Sensing applications. Ring resonator has been arranged in between two silicon Photonic Crystals waveguides, i.e., bus and drop waveguides. The new ring-resonators has formed by removing the holes of a hexagonal lattice from two-dimensional silicon Photonic Crystals slab. The parameters Quality Factor and Sensitivity can be improved by tuning the size of holes in the hexagonal resonator structure. 2-D Finite Difference Time Domain Method and Finite Element Method has been used for simulation.<#LINE#>Lee Chengkuo and Thillaigovindan Jayaraj (2009 ).@Optical nanomechanical sensor using a a silicon photonic crystal cantilever embedded with a nanocavity resonator.@Applied Optics , 48(10), 1797-1803.@Yes$Guyev Igor V. and Sukhoivanov Igor A. (2009).@Photonic Crystals.@First Edition, 152.@No$Joannopoulos J.D., Johnson S.G., Winn J.N. and Meade R.D. ( 2011).@Photonic Crystals: Molding the Flow of Light (Second Edition).@Princeton University Press.@Yes$Li Bo, Hsiao Fu-Li and Lee Chengkuo (2010).@Configuration analysis of sensing element for micro-cantilever sensor using dual nano-ring resonator.@International Conference on Optical MEMS and Nanophotonics, 181-182.@Yes$Sharma Poonam, Gudagunti Fleming Dackson and Sharan Preeta (2014 ).@An analysis of Quality Factor for different bio-analytes by using photonic crystal based sensor.@Advanced Communication Control and Computing Technologies, 924-928.@Yes$Hsiao Fu-Li and Lee Chengkuo (2009).@Novel Biosensor Based on Photonic Crystal Nano-Ring Resonator.@Procedia Chemistry, 1(1), 417-420 .@Yes$Hsiao Fu-Li and Lee Chengkuo (2010).@Computational Study of Photonic Crystals Nano-Ring Resonator for Biochemical Sensing.@IEEE Sensors Journal , 10(7), 1185-1191.@Yes$Hsiao Fu-Li and Lee Chengkuo (2011).@Nanophotonic biosensors using hexagonal nanoring resonators: computational study.@Journal of Micro/Nanolithography, 10 (1), 013001.@Yes$Ho Chong Pei, Li Bo, Danner Aaron J. and Lee Chengkuo (2013).@Design and modeling of 2-D photonic crystals based hexagonal triple-nano-ring resonator as biosensors.@Microsystem technologies, 19(1), 53-60.@Yes$Li Bo, Hsiao Fu-Li and Lee Chengkuo (2011).@Configuration analysis of sensing element for photonic crystal based NEMS cantilever using dual nano-ring resonator.@Sensors and Actuators A: Physical , 169(2), 352-361.@Yes$Robison S. (2014).@Photonic Crystal Ring Resonator based Optical Filters for Photonic Integrated Circuits.@Light and its integrations with Matter, 1620, 131-138.@Yes$Sreenivasulu T., Kolli V.R., Anusree K., Yadunath T.R., Badrinarayana T. and Srinivas T. (2015).@Photonic Crystal Based Force Sensor on Siliocon Microcantilever.@IEEE, 1-4.@Yes
@Review Paper
<#LINE#>Protection of transmission line and distribution system by using support vector machine: a Review<#LINE#>Rahangdale@Roshni,Gupta@Archana <#LINE#>28-32<#LINE#>5.ISCA-RJEngS-2017-060.pdf<#LINE#>Department of Electrical Engineering, BIT, Durg, CG, India@Department of Electrical Engineering, BIT, Durg, CG, India<#LINE#>8/4/2017<#LINE#>14/7/2017<#LINE#>In this article, an overview of the protection of transmission lines and distribution system is given with the help of a support vector machine. The errors of investigation and their causes have an essential basis for a secure and consistent power supply always. Rapid changes in the supply system due to disturbances, grid changes due to line trip, and break a large load or generating unit, force the rest to steer and solve new stable conditions. Necessary measures must be taken to protect the transmission and distribution system, such as error detection, classification and localization of errors. In the transmission and distribution system, fault classification mainly adopted well-developed by applying the use of algorithms of machine learning such as, for example, artificial neural networks, fuzzy logic and support vector machines.<#LINE#>Maori A., Tripathy M. and Gupta H.O. (2014).@SVM based zonal setting of Mho relay for transmission line having TCSC.@In Power India International Conference (PIICON), 2014 6th IEEE, IEEE, 1-5.@Yes$Dash P.K., Samantaray S.R. and Panda G. (2007).@Fault classification and section identification of an advanced series-compensated transmission line using support vector machine.@IEEE transactions on power delivery, 22(1), 67-73.@Yes$Kumar Ravi B., Thukaram D. and Khincha H.P. (2010).@Comparison of multiclass SVM classification methods to use in a supportive system for distance relay coordination.@IEEE Transactions on Power Delivery, 25(3), 1296-1305.@Yes$Thukaram D. and Agrawal R. (2010).@Discrimination of Faulted Transmission Lines Using Multi Class Support Vector Machines.@In16th National Power Systems Conference, 497-502.@Yes$Seethalekshmi K., Singh S.N. and Srivastava S.C. (2012).@A classification approach using support vector machines to prevent distance relay mal operation under power swing and voltage instability.@IEEE Transactions on Power Delivery, 27(3), 1124-1133.@Yes$Jafarian P. and Sanaye-Pasand M. (2013).@High-frequency transients-based protection of multiterminal   transmission lines using the SVM technique.@IEEE Transactions on Power Delivery, 28(1), 188-196.@Yes$Thirumala K., Maganuru S.P., Jain T. and Umarikar A. (2016).@Tunable-Q Wavelet Transform and Dual Multiclass SVM for Online Automatic Detection of Power Quality Disturbances.@IEEE Transactions on Smart Grid.@Yes$Singh M.R., Chopra T., Singh R. and Chopra T. (2015).@Fault Classification in Electric Power Transmission Lines using Support Vector Machine.@International Journal, 1, 388-400.@Yes$Khaled A., Mohamed M. and Nizam M.K. (2014).@Inayati. Voltage Problem area Classification using Support Vector Machine SVM.@In International conference data, Civil and Mechanical Engineering (ICDMCME), Bali (Indonesia) , 214064, 4-5.@Yes$Shahid N., Aleem S.A., Naqvi I.H. and Zaffar N. (2012).@Support vector machine based fault detection & classification in smart grids.@In Globecom Workshops (GC Wkshps), 2012 IEEE, 1526-1531.@Yes$Samantaray S.R. and Dash P.K. (2009).@High impedance fault detection in distribution feeders using extended kalman filter and support vector machine.@International Transactions on Electrical Energy Systems, 20(3).@Yes$Sun S. and Zhao H. (2013).@Fault diagnosis in railway track circuits using Support Vector Machines.@In Machine Learning and Applications (ICMLA), 2013 12th International Conference on, 2, 345-350.@Yes$Yang Y., Du Q. and Zhao J. (2010).@The application of sites selection based on AHP-SVM in 500KV substation.@In Logistics Systems and Intelligent Management, 2010 International Conference on, 2, 1225-1229.@Yes$Malathi V. and Marimuthu N.S. (2010).@Wavelet transform and support vector machine approach for fault location in power transmission line.@International Journal of Electrical and Electronics Engineering, 4(4).@Yes$Lin K.M. and Lin C.J. (2003).@A study on reduced support vector machines.@IEEE transactions on Neural Networks, 14(6), 1449-1459.@Yes$Smola A.J. and Schölkopf B. (2004).@A tutorial on support vector regression.@Statistics and computing, 14(3), 199-222.@Yes$Kwok J.Y. (1999).@Moderating the outputs of support vector machine classifiers.@IEEE Transactions on Neural Networks, 10(5), 1018-1031.@Yes$Hsu C.W., Chang C.C. and Lin C.J. (2003).@A practical guide to support vector classification.@1, 1-16.@Yes$Campbell C. and Ying Y. (2011).@Learning with support vector machines.@Synthesis lectures on artificial intelligence and machine learning, 5(1), 1-95.@Yes$Weston J. (2009).@Support Vector Machine (and Statistical Learning Theory).@NFC, labs America, 4.@Yes
<#LINE#>A review on: recognition of human emotions based on the ananlysis of EEG Physiological Signal<#LINE#>Chandani@Manisha,Kumar@Arum <#LINE#>33-38<#LINE#>6.ISCA-RJEngS-2017-106.pdf<#LINE#>Department of ETC, Bhilai Institute of Technology, Durg, CG, India@Department of ETC, Bhilai Institute of Technology, Durg, CG, India<#LINE#>8/4/2017<#LINE#>10/7/2017<#LINE#>Emotions are the state of mind and behavioural approach individuals use to influence their own emotional  expertise It is the inclusive term to individual, attentive  practice that is described mainly by psycho physiological expression, mental states, biological reaction. Emotions are combining and express accordingly with mood, activity, temperature, nature and personality. In reasonable decision making and determined action emotions play the important role. Emotions give the ability to deal with unplanned occasion in our background which helps to increase our chance of survival. Physiological signal composes vital signals in the human body. In particular to, to identify human emotions several physiologic signals have been used widely these signals are collected from Electroencephalogram, Electrocardiogram, Electromyogram, Respiratory system, Electrodermal activities, Muscular system and Brain activity. The purpose of this study is to recognize the mental emotional state of a human body by using EEG signal, which recognize the human emotions. This study would provide a deep view on current state of the research and require on emotion recognition based on the analysis of EEG physiological signals.<#LINE#>Ekman E. and Davidson R.J. (1994).@The nature of emotions, fundamental questions.@Oxford: Oxford University Press, USA., 1-512, ISBN-10: 0195089448.@Yes$Scherer K.R. (2004).@Which emotions can be induced by music? What are the underlying mechanisms? And how can we measure them?.@J New Music Res., 33(3), 239-251.@Yes$Arafat A. and Hasan K. (2009).@Automatic Detection of ECG wave Boundaries using Empirical Mode Decomposition.@Proc. IEEE Int’l Conf. Acoustics, Speech and Signal Processing, 461-464.@Yes$Frijda N. (1986).@The emotions. Cambridge University Press Cambridge.@UK Google Scholar, 1-544, ISBN: 0521301556.@Yes$Drummond P.D. and Quah S-H. (2001).@The effect of expressing anger on cardiovascular reactivity and facial blood flow in Chinese and Caucasians.@Psychophysiology, 38(2), 190-196.@Yes$Alaoui-Ismaili O., Robin O., Rada H., Dittmar André and Vernet-Maury Evelyne (1997).@Basic emotions evoked by odorants: comparison between autonomic responses and self-evaluation.@Physiology and Behaviour, 62(4), 713-720.@Yes$Ax A.F. (1953).@The physiological differentiation between fear and anger in humans.@Psychosomatic Medicine, 15(5), 433-442.@Yes$Jang Eun-Hye, Park Byoung-Jun, Park Mi-Sook, Kim Sang-Hyeob and Sohn Jin-Hun (2015).@Analysis of physiological signals for recognition of boredom, pain, and surprise emotions.@Journal of Physiological Anthropology, 34, 25.@Yes$Maaoui Choubeila And Pruski Alain (2010).@Emotion Recognition through Physiological Signals for Human Machine Communication.@INTECH Open Access Publisher, France, 317-332. ISBN: 9533070625.@Yes$Eun-Hye Jang and Byoung-Jun Park (2013).@Classification of Human Emotions from Physiological signals using Machine Learning Algorithms.@The Sixth International Conference on Advances in Computer-Human Interactions. Nice, France. 24th February – 1st March., 395-400.@Yes$Sanei Saeid and Chambers J.A. (2007).@EEG Signal Processing.@John Wiley & Sons, 1-312, ISBN:  978-0-470-02581-9@Yes$Baby shalini T. and Vanitha L. (2013).@Emotion Detection in Human Beings Using ECG Signals.@International Journal of Engineering Trends and Technology, 4(5), 1337-1342.@Yes$Bradley M.M. and Lang P.J. (2008).@International Affective Digitized Sounds (IADS).@Stimuli, Instruction Manual and Affective Ratings. The Center for Research in Psychophysiology, University of Florida, Gainesville, FL, USA, 40, 784-790.@No$Bradley M.M. and Lang P.J. (1994).@Measuring emotion: the self-assessment manikin and the semantic differential.@Journal of Behavioral Therapy and Experimental Psychiatry, 25(1), 49-59.@Yes$Mallat S.A. (1989).@A Theory for Multi resolution Signal Decomposition The wavelet Representation.@IEEE Transactions on Pattern Analysis And Machine Intelligence, 11(7), 674-693.@Yes$Chanel Guillaume, Kierkels Joep J.M., Soleymani Mohammad and Pun Thierry (2009).@Short term Emotion assessment in a recall paradigm.@International Journal of Human- Computer Studies, 67(8), 607-627.@Yes$Okamura Shuhei (2011).@The Short Time Fourier Transform and Local Signals.@Dissertations. A Study, Doctorate Thesis. Departent of statistics Carnegie Mellon University Pittsburgh, Pennsylvanian. 1-58.@Yes$Wasserman P.D. (1993).@Advanced methods in neural computing.@New York: Van Nostrand Reinhold., 1-250. ISBN:0442004613.@Yes$Li C., Diao Y., Ma H. and Li Y. (2008).@A Statistical PCA Method for Face Recognition.@Intelligent Information Technology Application, 3, 376-380.@Yes$Wang Z. and Li X. (2010).@Face Recognition Based on Improved PCA Reconstruction.@Intelligent Control and Automation (WCICA), 8th World Congress on, Jinan, China, 7-9 July, 6272-6276.@Yes$Duda R.O., Hart P.E. and Stork D.G. (2010).@Pattern classification.@2nd edition. New York, NY: Wiley-Interscience, 1-635, ISBN: 0471056693.@No$Zhao Zhiqiang and Zhang Huiquan (2015).@The methodology of ECG feature extraction based on empirical mode decomposition.@Biomedical Research Center, Chongqing University of Posts and Telecommunications, Chongqing, China. Journal of Chemical and Pharmaceutical Research, 7(3), 321-324.@No$Lang P.J., Bradley M.M. and Cuthbert B.N. (2005).@International Affective Picture System (IAPS): Affective Ratings of Pictures and Instruction Manual.@Technical report A-8. The Center for Research in Psychophysiology, University of Florida, Gainesville, FL, USA.@Yes$Chanel Guillaume, Kronegg Julien, Grandjean Didier and Pun Thierry (2006).@Emotion assessment: Arousal evaluation using eegs and peripheral physiological signals.@International Workshop, MRCS, Istanbul, Turkey. 11-13 September, 530-537.@Yes$Petrantonakis P.C. and Hadjileontiadis L.J. (2009).@Emotion Recognition from Brain Signals Using Hybrid Adaptive Filtering and Higher Order Crossings Analysis.@IEEE Transactions on affective computing, 1(2), 81-97.@Yes$Kumari Pinki and Vaish Abhishek (2015).@Brainwave based user identification system: A pilot study in robotics environment.@Robotics and Autonomous Systems, 65, 15-23.@Yes
<#LINE#>Effect of different reinforcement on mechanical properties of aluminium metal matrix composites<#LINE#>Sahu@Prem Shankar,Banchhor@Raghwendra <#LINE#>39-45<#LINE#>7.ISCA-RJEngS-2017-142.pdf<#LINE#>Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, CG, India@Department of Mechanical Engineering, Bhilai Institute of Technology, Durg, CG, India<#LINE#>8/4/2017<#LINE#>24/6/2017<#LINE#>There is a significant role of reinforcing materials in determining the overall performance of the composites. Metal matrix composites (MMCs) shows very attractive physical (density, thermal expansion etc.) and mechanical (tensile, compressive and yield strength, toughness, hardnessetc.) properties for aerospace, automotive and numerous other applications where they can successfully replace other materials like cast iron and steel. Aluminium matrix composites (AMCs) are potential candidate materials for numerous applications because they have combination of above properties; enhancement in such properties is obtained by suitable tailoring reinforcements in base metal. In the casting process the reinforcement particles like metal borides (TiB2), metal oxides (Al2O3), metal carbides (SiC, TiC, etc.) and metal nitrides (Si3N4, AlN) are reinforced in the melt of aluminium matrix. The widely used reinforcing materials to fabricate AMCs are silicon carbide (SiC) and aluminium oxide (Al2O3) in the form of particles or whiskers. Mechanical properties are controlled by initial processing method, reinforcement size, weight faction etc. The ceramic particles reinforced AMCs are termed as new generation material and these can be tailored and engineered to achieve enhanced properties. In present review an attempt has been made to describe the effect of tailoring different reinforcements in aluminium alloy on aspects relating to mechanical properties. The successful commercial production of AMCs is finally depending on their cost effectiveness for different applications.<#LINE#>A. (1998).@Developing trends in disc brake technology for rail application.@Mater. Sci. Technol., 14(9-10), 857-863.@Yes$Dwivedi R. (1995).@Development of Advanced Reinforced Aluminum Brake Rotors.@SAE Technical Paper Series, 950264, Warrendale, PA, USA, 8.@Yes$Casati R. and Vedani M. (2014).@Metal matrix composites reinforced by nano-particles-a review.@Metals, 4(1), 65-83.@Yes$Alaneme K.K. and Olubambi P.A. (2013).@Corrosion and wear behaviour of rice husk ash-alumina reinforced Al-Mg-Si alloy matrix hybrid composites.@J Mater Res Technol, 2(2), 188-194.@Yes$Alaneme K.K. and Bodunrin M.O. (2013).@Mechanical behaviour of alumina reinforced AA 6063 metal matrix composites developed by two step – stir casting process.@ActaTechCorvininesis – Bull Eng, 6(3), 105-110. [cited 2014 Aug 25], [Internet] available from: http://acta.fih.upt.ro/pdf/2013-3/ACTA-2013-3-18.pdf@Yes$Alaneme K.K. and Aluko A.O. (2012).@Fracture toughness (K1C) and tensile properties of as-cast and age-hardened aluminium (6063) –silicon carbide particulate composites.@Sci Iran, 19(4), 992-996.@Yes$Vencl A., Bobic I., Arostegui S., Bobic B., Marinkovi&#263; A. and Babi&#263; M. (2010).@Structural, mechanical and tribological properties of A356 aluminium alloy reinforced with Al2O3, SiC and SiC + graphite particles.@Journal of Alloys and Compounds, 506(2), 631-639.@Yes$Ansary Yara A., Montazerianb M., Abdizadehb H. and Baharvandic H.R. (2009).@Microstructure and Mechanical Properties of Aluminium Alloy Mtrix Composite Reinforced with Nano-particle MgO.@Journal of Alloys and Compounds, 484(1-2), 400-404.@Yes$Hashim J., Looney L. and Hashmi M.S.J. (1999).@Metal matrix composites: production by the stir casting method.@Journal of Materials Processing Technology, 92-93, 1-7.@Yes$Sirahbizu Yigezu B., Mahapatra M.M. and Jha P.K. (2013).@Influence ofreinforcement type on microstructure, hardness, and tensileproperties of an aluminum alloy metal matrix composite.@J Miner Mater CharactEng, 1(4), 124-130.@Yes$Ceschini L., Bosi C., Casagrande A. and Garagnani G.L. (2001).@Effect of thermal treatment and recycling on the tribological behaviour of an AlSiMg– SiCp composite.@Wear, 251, 1377-1385.@Yes$Al-Rubaie Kassim S., Yoshimura Humberto N. and de Mello Jose Daniel Biasoli (1999).@Two body abrasive wear of Al– SiC composites.@Wear, 233-235, 444-454.@Yes$Shipway P.H., Kennedy A.R. and Wilkes A.J. (1998).@Sliding wear behaviour of aluminum-based metal matrix composites produced by a novel liquid route.@Wear, 216(2), 160-171.@Yes$Chen M.Y. and Breslin M.C. (2001).@Friction behavior of co-continuous alumina/ aluminum composites with and without SiC reinforcement.@Wear, 249(10-11), 868-876.@Yes$Ribes H., Suery M., Esperance G.L. and Legoux J.G. (1990).@Microscopic examination of the interface region in 6061&#8208;Al/SiC composites reinforced with as&#8208;received and oxidized SiC particles.@Metallurgical and Materials Transactions A, 21(9), 2489-2496.@Yes$Thakur S.K. and Dhindaw B.K. (2001).@The influence of interfacial characteristics between SiCp and Mg/Al metal matrix on wear, coefficient of friction and microhardness.@Wear, 247(2), 191-201.@Yes$Poirier D., Drew R.A.L., Trudeau M.L. and Gauvin R. (2010).@Fabrication and properties of mechanically milled alumina/aluminum nanocomposites.@Mater SciEng A, 527(29-30), 7605-7614.@Yes$Miyajima T., Iwai Y. 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(2011).@Solidification behavior ofstircast Al alloy metal matrix composites.@International Journal of Applied Engineering Research, 2(2), 350.@Yes$Amirkhanlou S. and Niroumand B. (2010).@Synthesis and characterization of 356-SiCp composites by stir casting and compocasting methods.@Trans. Nonferrous Met.Soc. China, 20, s788-s793.@Yes$Doel T.J.A. and Bowen P. (1996).@Tensile properties of particulate-reinforced metal matrix composites Composites.@Composites Part A, Applied Science and Manufacturing, 27(8), 655-665.@Yes$Gurcan A.B. and Baker T.N. (1995).@Wear behaviour of AA6061 aluminium alloy and its composites.@Wear, 188(1-2), 185-191.@Yes$Kumar Veeresh G.B., Rao C.S.P. and Selvaraj N. 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(2011).@Microstructure and mechanical properties of Al–Al2O3 micro and nano composites fabricated by stir casting.@Materials Science and Engineering A, 528, 8765-8771.@Yes$Su Hai, Gao Wenli, Feng Zhaohui and Lu Zheng (2012).@Processing, microstructure and tensile properties of nano-sized Al2O3 particle reinforced aluminum matrix composites.@Materials and Design, 36, 590-596.@Yes$Kamat S.V., Hirth S.P. and Mehrabin R.M. (1989).@Mechanical properties of particulate-reinforced aluminum-matrix composites.@Acta Metallurgy, 37(9), 2395-2402.@Yes$Park B.G., Crosky A.G. and Hellier A.K. (2008).@Fracture toughness of microsphere Al2O3–Al particulate metal matrix composites.@Composites Part B, 39(7-8), 1270-1279.@Yes$Han I.S., Seo D.W., Kim S.Y., Hong K.S., Guahk K.H. and Lee K.S. (2008).@Properties of silicon nitride for aluminum melts prepared by nitridedpressureless sintering.@Journal of the European Ceramic Society, 28(5), 1057-1063.@Yes$Sharma Pardeep, Sharma Satpal and Khanduja Dinesh (2015).@Production and some properties of Si3N4 reinforced aluminium alloy composites.@Journal of Asian Ceramic Societies, 3(3), 352-359.@Yes$Arik H. (2008).@Effect of mechanical alloying process on mechanical properties of &#945;-Si3N4 reinforced aluminum-based composite materials.@materials and design, 29(9), 1856-1861.@Yes$Song M.H., Wu G.H., Yang W.S., Jia W., Xiu Z.Y. and Chen G.Q. (2010).@Mechanical Properties of Cf/Mg Composites Fabricated by Pressure Infiltration Method.@Journal of Materials Science & Technology, 26(10), 931-935.@Yes$Ramesh C.S., Keshavamurthy R., Channabasappa B.H. and Ahmed Abrar (2009).@Microstructure and mechanical properties of Ni–P coated Si3N4 reinforced Al6061 composites.@Mater SciEng A, 502, 99-106.@Yes$Kumar Ashok and Murugan N. (2012).@Metallurgical and mechanical characterization of stir cast AA6061-T6–AlNp Composite.@Materials and Design, 40, 52-58.@Yes$Jung J. and Kang S. (2004).@Advances in manufacturing boron carbide–aluminum composites.@J Am Ceram Soc, 87(1), 47-54.@Yes$Kennedy A.R. and Brampton B. (2001).@The reactive wetting and Incorporation of B4C particles into molten aluminium.@Scripta Mater, 44, 1077-1082.@Yes$Mohanty R.M., Balasubramanian K. and Seshadri S.K. (2008).@Boron carbide-reinforced aluminum 1100 matrix composites: fabrication and properties.@Mater SciEng A., 498, 42-52.@Yes$Baradeswaran A. and ElayaPerumal A. (2013).@Influence of B4C on the tribological and mechanical properties of Al 7075–B4C composites.@Composites: Part B, 54, 146-152.@Yes$Banerji A., Surappa M.K. and Rohatgi P.K. (1983).@Cast aluminum alloys containing dispersions of zircon particles.@Metallurgical and Materials Transactions B, 14(2), 273-283.@Yes$Kaur K. and Pandey O.P. 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(2002).@Wear behaviour of graphitic aluminium composite sliding under dry conditions.@Zeitschrift für Metallkunde, 93(12), 1245-1251.@Yes$Gibson P.R., Clegg A.J. and Das A.A. (1984).@Wear of cast aluminium-silicon alloys containing graphite.@Wear, 95(2), 193-198.@Yes$Seah K.H.W., Sharma S.C., Girish B.M. and Lim S.C. (1996).@Wear Characteristics of as Cast Za-27/Graphite Particulate Composites.@Mater.Des., 17(2), 63-67.@Yes$Abdizadeh Hossein, Ebrahimifard Reza and Baghchesara Mohammad Amin (2014).@Investigation of microstructure and mechanical properties of nanoMgO reinforced Al composites manufactured by stir casting and powder metallurgy methods: A comparative study.@Composites: Part B., 56, 217-221.@Yes$Andrews J.B. and Seneviratne M.V. (1984).@A new, highly wear-resistant aluminum-silicon casting alloy for automotive engine block applications.@AFS Trans., 92, 209.@Yes$Mohan S.K.R., Jayabalan K.P. and Rajaraman A. (2012).@Properties of fly ash based coconut fiber composite.@Am.J. 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<#LINE#>Energy and exergy analysis of different type of coal based thermal power plant by heat recovery approach<#LINE#>Kumar@Umesh,Pal@Manoj Kumar <#LINE#>46-51<#LINE#>8.ISCA-RJEngS-2017-149.pdf<#LINE#>Department of Mechanical Engineering, Bhilai Institute of Technology, Durg-491001, India@Department of Mechanical Engineering, Bhilai Institute of Technology, Durg-491001, India<#LINE#>8/4/2017<#LINE#>6/7/2017<#LINE#>The existing scenario, the vast majority of the power created all through the world is from steam plants. Along these lines, it is imperative to guarantee that the plants are working with most extreme productivity. Thermodynamic investigation of the thermal power plant has been attempted to upgrade the productivity and dependability of steam power plants. A large portion of the power plants is outlined by the energetic execution criteria in view of the first law of thermodynamics as it were. The genuine valuable energy misfortune can\\\'t be advocated by the first law of thermodynamics since it doesn\\\'t separate between the quality and quantity. The present work manages the investigates of energy and exergy investigation of thermal power plant stimulated by coal. It is anticipated that even a little change in any piece of the plant will bring about a critical change in the plant effectiveness. Components influencing proficiency of the Thermal Power Plant have been recognized and broke down for enhanced working of the thermal power plant. The target of this work is to utilize the energy and exergy investigation is based on the first law of thermodynamics and second law of thermodynamics separately. The energy misfortunes from individual segments in the plant are computed in view of these working conditions to decide the genuine system misfortunes. Exergy investigation gives entropy, irreversibility rate, Exergy misfortune and second law productivity. The Exergy misfortune or irreversibility is most extreme at the evaporator. In this paper Exergy investigation of working state of evaporator has been completed in view of mass and Exergy adjust. The present paper explores the energy of the power plant to balance the expanding interest of energy. Energy and Exergy investigation has been done to decide the effectiveness of every segment and the general proficiency of the plant, Further Assessment of Energy and Exergy misfortune and annihilation has been dissected.<#LINE#>Kurkiya Ravi prakash and chaudhary Sharad (2012).@Energy Analysis of Thermal Power Plant.@Inter. Journal of Scientific & Engineering Research, 3(7), 1-7.@No$Rana A.H. and Mehta J.R. (2013).@Energy and Exergy Analysis of Extraction cum Back Pressure Steam Turbine.@Inter. Journal of Modern Engineering  Research, 3(2), 626-632.@Yes$Ataeiand Abtin and Yoo Chang Kyoo (2010).@Combined pinch and exergy analysis for energy efficiency optimization in a steam power plant.@International Journal of the Physical Sciences, 5(7), 1110-1123.@Yes$Lior Noam and Zhang Na (2007).@Energy, Exergy, and Second Law performance criteria.@journal Energy policy, 32, 281-296.@Yes$Aljundi Isam H. (2009).@Energy and Exergy analysis of a steam power plant in Jordan.@Applied Thermal Engineering, 29, 324-328.@Yes$Sachdeva Kiran Bala (2012).@Performance Optimization of Steam Power Plant through Energy and Exergy Analysis.@Current Engineering and Technology, 2(3), 41-47.@Yes$Kaushika S.C., Siva Reddya V. and Tyagib S.K. (2011).@Energy and Exergy analyses of thermal power plants: A review.@Renewable and Sustainable Energy Reviews, 15(4), 1857-1872.@Yes$Saidur R., Ahamed J.U. and Masjuki H.H. (2010).@Energy, exergy and economic analysis of industrial boilers.@journal of  Energy Policy, 38, 2188-2197.@Yes$Kumar Krishan, Patel Dharmendra, Sehravat Vinod and Gupta Tarun (2015).@Performance and Exergy Analysis of the Boiler.@International Journal of Science and Research, 4(6), 3011-3015@No$Ameri Mohammad, Ahmadi Pouria and Hamidi Armita (2009).@Energy, exergy and exergoeconomic analysis of a steam power plant: A case study.@International Journal off  Energy Research Int. J. Energy Res, 33, 499-512.@Yes$Kwak H.Y., Kim D.J. and Jeon J.S. (2003).@Exergetic and thermo-economic analyses of power plants.@journal of Energy policy, 28, 343-360.@Yes$Moneim Sayed A. Abdel and Hossin Khaled M. (2013).@Exergy Analysis of A Combined Gas/Steam Turbine Cycle with A Supercharged Boiler.@American Journal of Engineering Research, 2(12), 321-333.@Yes$Regulagadda P., Dincer I. and Naterer G.F. (2010).@Exergy analysis of a thermal power plant with measured boiler and turbine losses.@Applied Thermal Engineering, 30(8-9), 970-976.@Yes$Ganapathy T., Alagumurthi N., Gakkhar R.P. and Murugesan K. (2009).@Exergy Analysis of Operating Lignite Fired Thermal Power Plant.@Journal of Engineering Science and Technology Review, 2(1), 123-130.@Yes$Kumar Naradasu Ravi, Konijeti Rama Krishna and Alluru Venkata Sita Rama Raju (2007).@Thermodynamic  Analysis  of  Heat  Recovery  Steam Generator  In  Combined  Cycle  Power  Plant.@Thermal Science, Original scientific paper, 11(4), 143-156.@Yes$Reddy Vundela Siva, Kaushik Subhash Chandra, Tyagi Kumar Sudhir and Panwar Narayanlal (2010).@An Approach to Analyse Energy and Exergy Analysis of Thermal Power Plants: A Review.@scientific Research, Smart Grid and Renewable Energy, 1(3), 143-152.@Yes$Pardal Rajat, Arora B.B. and Maji Subhashish (2016).@Thermoexergetic analysis of Steam Power Plant.@International Journal of Engineering Studies, 8(1), 11-19.@Yes
@Short Review Paper
<#LINE#>Effective utilization of construction and demolished waste concrete-review<#LINE#>Dhapekar@N.K.,Mishra@S.P. <#LINE#>52-55<#LINE#>9.ISCA-RJEngS-2017-047.pdf<#LINE#>Kruti Institute of Technology and Engineering and Research Scholar Bhilai Institute of Technology, Durg, Chhattisgarh, India@Department of Civil Engineering, Bhopalrao Pawar Govt. Polytechnic College, Dhamtari, Chhattisgarh, India<#LINE#>8/4/2017<#LINE#>10/7/2017<#LINE#>The mass production of construction and demolition waste and it\\\'s deposition are creating serious problems in India. In most of the countries, applicability of construction and demolished wastes are restricted to non-structural concrete, pavements and backfilling. The recycling and reapplicability of construction and demolition (C&D) waste as an alternative to aggregates for the production of fresh concrete has attracted attention from the construction sector. Environmental benefits of using recycled aggregates are well accepted but it\\\'s wide application in major structural components is still restricted. This paper discusses rules for management and use of construction and demolition wastes. Innovative steps to reduce, recycle and reuse of wastes are also proposed in this paper. Construction and Demolition waste management is designed to promote development for sustainability, protection of environment and optimum use of natural resources. Promotional and confidence building measures are discussed in detail. Rules for effective utilization of construction and demolition waste by various government bodies are highlighted in this paper. Rules and suggestions for construction and demolition waste are also presented in research paper.<#LINE#>Poon C.S., Kou S.C. and Lam L. (2007).@In&#64258;uence of recycled aggregate on slump and bleeding of fresh concrete.@Materials and Structures, 40(9), 981-988.@Yes$Ahmed S.F.U. (2012).@Properties of concrete containing construction and demolition wastes and flyash.@American society of civil engineering, 25(12), 1864-1870. DOI:10.1061/(ASCE)MT.1943-5533.0000763.@Yes$Vázquez Enric (2013).@Overview regarding construction and demolition wastes in several countries.@Progress of recycling in the built environment :Final report.RILEM, 37-137. DOI:10.1007/978-94-007-4908-5.@Yes$Rao Akash, Kumar N. Jha and Misra Sudhir (2006).@Use of aggregates from recycled construction and demolition waste in concrete.@Resources,conservation and recycling -Science Direct., 50, 71-81.@Yes$Xiao J. and Ding T. (2013).@Research on recycled concrete and it@Higher education press and springer-Berlin, 7(3), 215-226.DOI:10.1007/s11709-013-0212-z.@Yes$Dongshuai (2013).@Morphology of C-S-H gel :a molecular dynamic study.@Advances in cement research, ICE publishers, 2-12.@No$Joseph Kurian, Rajendiran S., Senthilnathan R. and Rakesh M. (2012).@Integrated approach to solid waste management in chennai an indian metro city.@Journal of matter cycles waste management, 14(2), 75-84. DOI:10.1007/s10163-012-0046-0.@Yes$Herrador Rosario, Pérez Pablo, Garach Laura and Ordóñez Javier (2012).@Use of recycled construction and demolition waste aggregate for road course surfacing.@Journal of Transportation Engineering, 138(2), 182-190. DOI:10.1061/(ASCE)TE.1943-5436-0000320.@Yes$Rahman M.A., Arulrajah A., Piratheepan J., Bo M.W. and Imteaz M.A. (2014).@Resilient modulus and permanant deformation response of geogrid reinforced construction and demolition materials.@Journal of Materials in Civil Engineering, 26(3), 512-519. DOI:10.7061/(ASCE)MT.1943-5533.0000824.@Yes$Qiao Pizhong and Chen Fangliang (2013).@Improved mechanical properties and early age shrinkage resistance of recycled  aggregate concrete with atomic technology.@Journal of Materials in Civil Engineering, 25(7), 836-845. DOI:10.1061/(ASCE)MT.1943-5583.0000759.@Yes$Dhapekar N.K. and Chopkar D.M. (2016).@SHM of ordinary portland cement concrete structures using XRD.@International Journal of Applied Engineering Research, 11(9), 6128-6131.@Yes$Dhapekar N.K. (2015).@Study of phase composition of Ordinary Portland Cement concrete using X-Ray diffraction.@International Journal of Scientific and Engineering Research.@No$Dhapekar N.K. (2014).@Structural health monitoring of concrete structures evaluating elastic constants and stress strain parameters by X-ray diffraction technique.@International journal of civil engineering and technology(IJCIET).@No$R.U.M. (2015).@Recycling, Use and Management of C&D wastes.@Indian Concrete Institute-Bulletin 01.@No