ISSN : 2277 - 3878Website: www.ijrte.org

Technology and EngineeringTechnology and EngineeringInternational Journal of Recent International Journal of Recent

Volume-6 Issue-1, March 2017Volume-6 Issue-1, March 2017

Published by: Blue Eyes Intelligence Engineering and Sciences Publication Pvt.

Published by: Blue Eyes Intelligence Engineering and Sciences Publication Pvt.

n E d a n g i y n g e o e l r o i n n g h c e T t n e c e R I n f t o e l r na n at r i u o o n J l a

IjrteIjrte

Exploring Innovation

www.ijrte.org

EXPLORING INNOVA

TION

Editor In Chief

Dr. Shiv K Sahu

Ph.D. (CSE), M.Tech. (IT, Honors), B.Tech. (IT)

Director, Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., Bhopal (M.P.), India

Dr. Shachi Sahu

Ph.D. (Chemistry), M.Sc. (Organic Chemistry)

Additional Director, Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., Bhopal (M.P.), India

Vice Editor In Chief

Dr. Vahid Nourani

Professor, Faculty of Civil Engineering, University of Tabriz, Iran

Prof. (Dr.) Anuranjan Misra

Professor & Head, Computer Science & Engineering and Information Technology & Engineering, Noida International University,

Noida (U.P.), India

Advisory Chair

Dr. Himani Sharma

Professor & Dean, Department of Electronics & Communication Engineering, MLR Institute of Technology, Laxman Reddy Avenue,

Dundigal, Hyderabad, India

Dr. Sahab Singh

Associate Professor, Department of Management Studies, Dronacharya Group of Institutions, Knowledge Park-III, Greater Noida,

India

Dr. Umesh Kumar

Principal: Govt Women Poly, Ranchi, India

Dr. Syed Zaheer Hasan

Scientist-G Petroleum Research Wing, Gujarat Energy Research and Management Institute, Energy Building, Pandit Deendayal

Petroleum University Campus, Raisan, Gandhinagar-382007, Gujarat, India.

Dr. Jaswant Singh Bhomrah

Director, Department of Profit Oriented Technique, 1 – B Crystal Gold, Vijalpore Road, Navsari 396445, Gujarat. India.

Technical Chair

Dr. Kapil Chandra Agarwal

H.O.D. & Professor, Department of Applied Sciences & Humanities, Radha Govind Engineering College, U. P. Technical University,

Jai Bheem Nagar, Meerut, (U.P). India.

Dr. Anil Kumar Tripathy

Associate Professor, Department of Environmental Science & Engineering, Ghanashyama Hemalata Institute of Technology and

Management, Puri Odisha, India.

Dr. Hasan. A. M Al Dabbas

Chairperson, Vice Dean Faculty of Engineering, Department of Mechanical Engineering, Philadelphia University, Amman, Jordan.

Dr. Gabil Adilov

Professor, Department of Mathematics, Akdeniz University, Konyaaltı/Antalya, Turkey.

Dr. Ch.V. Raghavendran

Professor, Department of Computer Science & Engineering, Ideal College of Arts and Sciences Kakinada, Andhra Pradesh, India.

Dr. Ikvinderpal Singh

Assistant Professor, Department of Computer Science & Applications, Trai Shatabdi Guru Gobind Khalsa College, Amritsar. Punjab,

India.

Dr. Thanhtrung Dang

Associate Professor & Vice-Dean, Department of Vehicle and Energy Engineeering, HCMC University of Technology and Education

01 Vo Van Ngan St., Hochiminh, Vietnam.

Dr. Wilson Udo Udofia

Associate Professor, Department of Technical Education, State College of Education, Afaha Nsit, Akwa Ibom State, Nigeria.

Dr. Sameh Ghanem Salem Zaghloul

Doctor, Department of Radar, Military Technical College, Cairo Governorate, Egypt.

Dr. Vijay Kumar Joshi

Director-Principal, Department of Computer Science & Engineering, Ram Devi Jindal Group of Professional Institutions, Basoli

(Lalru), Punjab. India.

Managing Chair

Mr. Jitendra Kumar Sen

International Journal of Recent Technology and Engineering (IJRTE)

Reviewer Chair

Dr. V. Nagarajan

Professor & Head, Department of Electrical and Electronics Engineering, Sona college of Technology, Salem (Tamilnadu), India

Dr. R.Arulmozhiyal

Assoc. Professor, Department of Electronics and Communication Engineering, Adhiparasakthi College of Engineering, Villupuram

(Tamilnadu), India

Dr. R.Harikumar

Professor, Department of Electronics and communication Engineering, Bannari Amman Institute of Technology, Sathyamangalam

(Tamilnadu), India

Dr. Anand Kumar

Professor & Head, Department of MCA, Department of MCA, M.S. Engineering College, Navarathna Agrahara, Sadahalli Post,

Bangalore, Karnataka, India

Dr. Mohamed Rahayem

School of Science and Technology, Karlavägen 16, 691 41 Karlskoga, Sweden

Dr. P.T.V.Bhuvaneswari

Associate Professor, Electronics Engineering, Madras Institute of Technology Anna University, Chennai, India

Dr. Venkat K. Krishnan

Post-Doctoral Research Associate, Electrical and Computer Engineering, 1121 Coover Hall, Iowa State University, Ames, Iowa, USA

50011

Dr. Mangey Ram

Associate Professor, Department of Mathematics, Graphic Era University, Dehradun-248002, India

Dr. Sarika Jain

Assistant Professor, Department of Computer Applications, National Institute of Technology, Kurukshetra, Haryana, India

Dr. Adri Jovin J.J.

Assoc. Professor, Department of Computer Science & Engineering, Sri Guru Institute of Technology, Varathaiyangar Palayam,

Kondayampalayam, Coimbatore (Tamil Nadu), India

Dr. V.Kumar Chinnaiyan

Professor & Head, Department of Electrical and Electronics, Jansons Institute of Technology, Caimbatore (Tamil Nadu), India

Dr. T. Pearson

Professor, Department of ECE, SMK Fomra Institute of Technology, Anna Nagar West, Chennai, India

Dr. Indu Verma

Professor, Department of Physics, University of Lucknow (U.P.), India

Dr. Pravin P Patil

Assoc. Professor, Department of Mechanical Engineering, Graphic Era University, Dehradun-248002, India

Dr. Surendra Yadav

Professor, Department of Computer science and Engineering, Dreen Avenue, Khatipura Road, Jaipur, India

Dr. K. Sivakumar

Assoc. Professor, Department of Computer Applications, SNMV College of Arts & Science, Maruthasalam Nagar, Sulur, Coimbatore

Dr. Lazar Stosic

College for Professional Studies Educators, Aleksinac, Serbia, Europe

Dr. Ashu Gupta

Assoc. Professor, Department of Computer Applications, Apeejay Institute of Management Technical Campus, Jalandhar, Punjab,

India

Dr. T.Logeswari

Associate Professor, Department of MCA, Dr.N.G.P. – Kalapatti Road Coimbatore - 641048 India

Dr. Nurul Fadly Habidin

Department of Management, Faculty of Management and Economics, Universiti Pendidikan Sultan Idris, 35900 Tanjung Malim,

Perak

Dr. S.Manikandan

Department of Electronics and Communication Engineering, Dean VKS College of Engineering and Technology, Karur,Tamilnadu,

India

Dr. S.Sasikumar

Department of ECE, Jayaram College of Engineering and Technology, India

Dr. Mojtaba Moradi

Assoc. Professor, Department of Statistics, Faculty of Mathematical Sciences, University of Guilan, Rasht, Iran

Dr. Neeraj Kumar

Assoc. Professor, Department of Applied Sciences & Humanities, IIMT Engineering.College, Meerut (U.P.), India

Dr. T.V.Suryanarayana

Assoc. Professor, Department of ECM, K L University, Green Fields, Vaddeswaram, Guntur District, A.P., India

S.

No

Volume-6 Issue-1, March 2017, ISSN: 2277-3878 (Online)

Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.

Page

No.

1.

Authors: P. Rajasekhar, G. Ganesan, C. Senthilkumar

Paper Title: Wear Behavior of Coconut Fiber Reinforced Polyamide Matrix Composites

Abstract: Nowadays, the polymer matrix fiber reinforced composites have greater attention of many important

manufacturing sectors particularly construction, automotive and packaging industries due to its low density, good

mechanical and better tribological properties. Recently, the coconut fiber reinforced composites have replaced the

most widely used synthetic fiber (Glass, Kevlar) reinforced polymer composites in many applications. In the present

study, the polymer matrix composites were prepared and developed through hand layup process with treated short

coconut fiber. Composite specimens were prepared according to the ASTM Standard G-99 and the wear tests were

conducted on the Pin-On-Disk wear testing machine. The experiments were carried out according to the central

composite second order rotatable design. Optimization has been carried out using Response surface methodology

(RSM). The morphology of worn surfaces was examined through scanning electron microscope (SEM) and various

wear mechanisms were discussed.

Keywords: Friction coefficient, Wear Rate, Polyamide, Coconut fiber, Pin On Disc.

References: 1. K. G. Satyanarayana, G.G.C. Arizaga, F. Wypych, ‘'Biodegradable composites based on lingo cellulosic fibers an overview’’, Progress in

Polymer Science, 34, 2009, pp 982–1021.

2. S. Mukhopadhyaya, R. Srikanta, “Effect of ageing of sisal fibres on properties of sisal Polypropylene composites”, Polymer Degradation and

Stability, 93, 2008, pp 2048–2051. 3. H. Larbig, H. Scherzer, B. Dahlke, R. Pol-trock, “Natural fiber reinforced foams based on renewable resources for automotive interior

applications”, J. Cell. Plast, 34, 1998, pp 361–379.

4. A.M. Eleiche, G.M.Amin, “The effect of unidirectional cotton fibre reinforcement on the friction and wear characteristics of polyester”, Wear, 112, 1986, pp 67-78.

5. U. Nirmala, B.F. Yousif, D.Rilling, P.V. Brevern, “Effect of betelnutfibres treatment and contact conditions on adhesive wear and frictional performance of polyester composites”, Wear. 268, 2010, pp 1354–1370.

6. N.S.M. El-Tayeb, “A study on the potential of sugarcane fibers/polyester composite for tribological applications”, Wear. 265, 2008, pp 223–

235. 7. R. Gujjala, S.Ojha, SK Acharya, SK Pal, “'Mechanical properties of woven Jute glass hybrid reinforced epoxy composite", Journal of

Composite Materials, 20, 2013, pp 1–11.

8. H. U. Zaman, A. H. Khan, M. A. Hossain, M. A. Khan, R. A. Khan, “Mechanical and Electrical Properties of Jute Fabrics Reinforced Polyethylene Polypropylene Composites: Role of Gamma Radiation”, Polymer Plastics Technology and Engineering, 48, 2009, pp 760–766.

9. G.Fang, Z.Zhaozhu, Z. Huijuan, W.Kun, J.Wei, “Tribological behavior of spun Kevlar fabric composites filled with fluorinated

Compounds”, Tribology International, 43, 2010, pp 1466–1471. 10. J. Sanes, F.J. Carri´on, A.E. Jim´enez, M.D. Bermudez, “Influence of temperature on PA 6–steel contacts in the presence of an ionic liquid

lubricant”, Wear, 98, 2011, pp 01-05.

11. P. K. Bajpai, I. Singh, J.Madaan, “Tribological behavior of natural fiber reinforced PLA composites”, Wear, 297, 2013, pp 829–840. 12. J. Wu, X.H. Cheng, “The tribological properties of Kevlar pulp reinforced epoxy composites under dry sliding and water lubricated

condition”, Wear, 261, 2006, 1293–1297.

13. P. L. Menezes, P. K. Rohatgi, M.R. Lovell, “Studies on the tribological behavior of natural fiber reinforced polymer composites”, Green Tribology,Green Energy and Technology, 124, 2010, pp 231-238.

14. M.Punyapriya,"Statistical analysis for the abrasive wear behavior of bagasse fiber reinforced polymer composite”, International Journal of

Applied Research in Mechanical Engineering, 2, 2012, pp 2231 –2239. 15. B.Witold, K.Vera, V.Domagoj, W.Jenna, “Tribology of polymers and polymer-based composites”, Journal of Materials Education, 32, 2010,

pp 273 – 290.

16. S.Bahadur., “The development of transfer layers and their role in polymer tribology”, J. Wear, 245, 2000, pp 92–99.

17. S.Bahadur, and V.K.Polineni, “Tribological studies of glass fabric reinforced polyamide composites filled with CuO and PTFE”, J. Wear

200, 1996, pp 95–104.

18. A.A.Cenna, P. Dastoor, and A. Beehag, “Effects of graphite particle addition upon the abrasive wear of polymer surfaces”, J. Material Science 36, 2001, pp 891–900.

19. D.Hayrettin, “PA 66 spur gear durability improvement with tooth width modification”, J. Material Design 30, 2009, pp 1060–1067.

20. D.C.Montgomery., “Design and analysis of experiments”, 4th ed. (John Wiley Sons, New York, 1997. 21. R. Jyoti, N. Sankar, C. and Harish, ‘'Effect of Fiber Content on Abrasive Wear Behavior of Date Palm Leaf Reinforced Polyvinyl

Pyrrolidone Composite’’, International Journal of Tribology, 56, 2014, pp 01-10

22. S. Supreeth, B. Vinod, J. SudevLi, and Z. N Liang, "Influence of Fiber Length on the Tribological Behaviour of Short PALF Reinforced Bisphenol-A Composite”, International Journal of Engineering Research and General Science, 2, 2014, pp 825-830.

23. Vivek Mishra, and Sandhyarani Biswas, "Physical, mechanical and abrasive wear behavior of jute fiber reinforced polymer composites”,

National Institute of Technology, Rourkela, India, 2014, pp 120-135. 24. Vivek Mishra, and Sandhyarani Biswas, "Physical, mechanical and abrasive wear behavior of jute fiber reinforced polymer composites”,

National Institute of Technology, Rourkela, India, 2014, pp 120-135.

25. Narish Singh, Yousif, and Dirk, “Tribological characteristics of sustainable fiber-Rerinforced thermoplastic composites under wet adhesive wear”, Tribology Transactions, 54, 2011, pp 736-748.

26. K. Pramendra, Inderdeep Singh, and Jitendra Madaan, “Frictional and adhesive wear performance of natural fibre reinforced polypropylene

composites", Engineering Tribology, 227, 2012, pp 385-392. 27. P. K. Bajpai, I. Singh, and J. Madaan, “Frictional and Adhesive Wear Performance of Natural Fibre Reinforced Polypropylene Composites’'.

Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 227, 2012, pp 385-392.

28. S. R. Chauhan, B. Gaur, and K. Dass, “Effect of Microsize Particulates on Tribological Characteristics of Vinylester Composites Under Dry and Lubricated Conditions”, Journal of Material Science and Engineering, 2:117, 2013, pp 4172-4184.

29. [29] B. Aldousiri, A. Shalwan, and C. W. Chin, “A Review on Tribological Behaviour of Polymeric Composites and Future

Reinforcements’’, Advances in Materials Science and Engineering, 475, 2013, pp 1-8. 30. H. Dhieb, J. Buijnsters, and J. P. Celis, "Degradation of Carbon Fiber Reinforced Epoxy Composites Under Sliding in Ambient Air’’,

Sustainable Construction and Design, 2, 2011, pp 53-58.

31. R. Ibrahem, ‘'Friction and Wear Behaviour of Fibre / Particles Reinforced Polyester Composites”, International Journal of Advanced Materials Research, 2, 2006, pp. 22-26.

32. K. H. Z. Gahr, “Microstructure and Wear of Materials", Tribology Elsevier Science Publishers, 10, 1987, pp 436-448.

1-7

33. P. K. Bajpai, L. Singh, J. Madaan, “Frictional and Adhesive Wear Performance of Natural Fibre Reinforced Polypropylene Composites”. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 227, 2012, pp 385-392.

34. Y. Z. Wan, G. C. Chen, “Friction and wear behavior of three-dimensional braided carbon fiber/epoxy composites under dry sliding

conditions”, Wear, 260, 2006, pp 933-941.

2.

Authors: Meryl Lopes, Amita Dessai

Paper Title: Design of Frequency Reconfigurable Microstrip Patch Antenna for Wireless Applications

Abstract: Modern telecommunication systems require miniature antennas with multiband characteristics that support

multiple wireless applications. This paper presents a pentagon shaped microstrip patch antenna that works at 7.5GHz

with a return loss of -43.48dB. The antenna has been designed on 1.59 mm FR-4 substrate with dielectric constant of

4.4 and loss tangent of 0.02. The pentagon shaped microstrip patch antenna has been modified into a dual band and a

triple band antenna by applying fractal shape and frequency reconfiguring the antenna geometry. Proposed antenna

finds applications for defense and secure communication, C band (4 GHz to 8 GHz) and X band (8 GHz to 12 GHz)

applications where antenna can be used for satellite communication and RADAR applications. Proposed antenna has

been designed using IE3D and results are analyzed in terms of gain, return loss, directivity and bandwidth.

Keywords: Fractal antenna, Microstrip, Multiband, Reconfigurable antenna

References: 1. Jacob Abraham, Aju John K, Dr. Thomaskutty Mathew ,“Microstrip antenna based on Durer pentagon fractal patch for multiband wireless

applications ”,IEEE Trans. 2014 ICICES2014 - S.A.Engineering College, Chennai, Tamil Nadu, India.

2. Saurabh Kohli, Sukhwinder Singh Dhillon, Anupama Marwaha, “ Design and Optimization of Multiband Fractal Microstrip Patch Antenna for

Wireless Applications,” IEEE Trans.2013, 5th International Conference on Computational Intelligence and Communication Networks. 3. Jagtar Singh Sivia and Sumeet Singh Bhatia, ’’ Design of Fractal Based Microstrip Rectangular Patch Antenna for Multiband Applications ’’,

IEEE Trans. 2015. 4. Sonam Srivastava , Dr. Pooja Mishra,Dr. Rajat Kumar Singh , “Design of a Reconfigurable Antenna with Fractal Geometry”, 2015 IEEE

Trans.,UP Section Conference on Electrical Computer and Electronics (UPCON).

5. Liping Han, Caixia Wang, Xinwei Chen, and Wenmei Zhang, “Compact Frequency Reconfigurable Slot Antenna for Wireless Applications”, IEEE Trans. 2015, Antenna and wireless propagation letters.

6. Shahzeb Hayat, Izaz Ali Shah, Ihtesham Khan, Imtiaz Alam, Sadiq Ullah, Abdul Basir , “Design of Tetra-Band Frequency Reconfigurable

Antenna for Portable Wireless Applications”, IEEE 2016 Trans. 7. Sunandan Bhunia, Avisankar Roy, Partha Pratim Sarkar,“Compact Wideband dual frequency (dual band) microstrip patch antenna for wireless

communication,” IEEE Trans. 2016, URSI Asia-Pacific Radio Science Conference.

8. J.Satya sainath, K. V .Karthikeyan, “Design and Analysis of Multiband Hybrid Coupler Pentagon Micro strip Antenna for L-Band Applications,” IEEE Sponsored 9th International Conference on Intelligent Systems and Control {lSCO)2015.

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3.

Authors: Siddhi Vinod Parodkar, Amita Dessai

Paper Title: Application of Neuro Fuzzy-Rule Based Classifier in Thyroid Disease Diagnosis

Abstract: Thyroid diseases are rising at an alarming rate worldwide across several age groups. Current practice for

thyroid disease diagnosis is doctor’s examination and a number of blood tests which requires lots of experience and

knowledge. Because of the difficulty in considering large number of interrelated measurements and non-specific

nature of symptoms of a disease, experts often have imprecise knowledge which causes uncertainty in diagnosis

procedure. Thyroid disease detection via proper interpretation of the thyroid data is an important classification

problem. The main objective of this project is to design an intelligent system that can diagnose the thyroid diseases

with minimum diagnosis time and enhanced diagnosis accuracy.

Keywords: Feature Selection (FS), Linguistic Hedge (LH), Neuro-Fuzzy Classifier (NFC), Scaled Conjugate

Gradient algorithm (SCG), Thyroid Disorders.

References: 1. Jamil Ahmed, and M. Abdul Rehman Soomrani, “TDTD: Thyroid Disease Type Diagnostics." 2016 International Conference on Intelligent

Systems Engineering (ICISE), pp. 44-50, IEEE, 2016, DOI: 10.1109/INTELSE.2016.7475160.

2. Prerana, Parveen Sehgal, and Khushboo Taneja, “Predictive Data Mining for Diagnosis of Thyroid Disease using Neural Network." International Journal of Research in Management, Science & Technology (E-ISSN: 2321-3264) Vol 3, No. 2, April 2015.

3. I Md. Dendi Maysanjaya, Hanung Adi Nugroho and Noor Akhmad Setiawan, “A Comparison of Classification Methods on Diagnosis of

Thyroid Diseases.", International Seminar on Intelligent Technology and Its Applications (ISITIA), pp. 89-92 IEEE, 2015, DOI: 10.1109/ISITIA.2015.7219959.

4. Shanu Shroff, Siddhi Pise, Pratiksha Chalekar and Suja S. Panicker, “Thyroid Disease Diagnosis: A survey.", IEEE Sponsored 9th

International Conference on Intelligent Systems and Control (ISCO), pp. 1-6, 2015, DOI: 10.1109/ISCO.2015.7282384. 5. Gurmeet Kaur and Er. Brahmaleen Kaur Sidhu, “Proposing Efficient Neural Network Training Model for Thyroid Disease Diagnosis.",

International Journal For Technological Research In Engineering Volume 1, Issue 11, ISSN (Online): 2347 - 4718, pp. 1383-1386, July-

2014. 6. Jasdeep Singh Bhalla and Anmol Aggarwal, “A Novel Method for Medical Disease Diagnosis Using Artificial Neural Networks Based on

Backpropagation Algorithm.", Conuence 2013: The Next Generation Information Technology Summit (4th International Conference). IET, pp. 55-61, September 26, 2013, IEEE, June,2014, DOI: 10.1049/cp.2013.2293.

7. J. Jacqulin Margret, B. Lakshmipathi and S. Aswani Kumar, “Diagnosis of Thyroid Disorders Using Decision Tree Splitting Rules.",

International Journal of Computer Applications, Volume 44, No.8, pp. 43-46, April 2012, DOI:10.5120/6287-8474. 8. Modjtaba Rouhani and Kamran Mansouri,\Comparison of several ANN architectures on the Thyroid diseases grades diagnosis.",

International Association of Computer Science and Information Technology – Spring Conference, 2009, IACSITSC'09, pp. 526-528, IEEE,

April 17, 2009, DOI: 10.1109/IACSIT-SC.2009.24. 9. Fatemeh Saiti, Afsaneh Alavi Naini, Mahdi Aliyari shoorehdeli and Mohammad Teshnehlab, “Thyroid Disease Diagnosis Based on Genetic

Algorithms using PNN and SVM.", 3rd International Conference on Bioinformatics and Biomedical Engineering, pp. 1-4, IEEE, June 11,

2009, DOI: 10.1109/ICBBE.2009.5163689. 10. Anupam Shukla, Prabhdeep Kaur, Ritu Tiwari and R.R.Janghel, “Diagnosis of Thyroid Disorders using Artificial Neural Networks", IEEE

International Advance Computing Conference (IACC), pp. 1016-1020, March 6, 2009, DOI: 10.1109/IADCC.2009.4809154.

11. Ahmad Taher Azar and Shaimaa Ahmed El-Said, “Superior neuro-fuzzy classification systems.", Neural Computing and Applications (2012), 23.1 : pp. 55-72, November 2012, DOI: 10.1007/s00521-012-1231-8.

13-19

12. Bayram Cetili and Atalay Barkana, “Speeding up the scaled conjugate gradient algorithm and its application in neuro-fuzzy classifier training.", Soft computing (2010), 14.4 : pp. 365-378, DOI: 10.1007/s00500-009-0410-8.

13. Bayram Cetisli, “Development of an adaptive neuro-fuzzy classifier using linguistic hedges: Part 1.", Expert Systems with Applications

(2010), 37.8 : pp. 6093-6101, DOI: 10.1016/j.eswa.2010.02.108. 14. Bayram Cetisli, “The effect of linguistic hedges on feature selection: Part 2.", Expert Systems with Applications (2010), 37.8 : pp. 6102-

6108, DOI: 10.1016/j.eswa.2010.02.115.

15. Ahmad Taher Azar and Aboul Ella Hassanien, “Dimensionality reduction of medical big data using neural-fuzzy classier.", Soft Computing (2014), DOI: 10.1007/s00500-014-1327-4.

16. Thyroid Data Set from UCI Repository [Online] Available: http://sci2s.ugr.es/keel/dataset.php?cod=67

4.

Authors: S. Lalithkumar, A. Priyadharshni, M. Manoj Kumar, N. Sekar Pandian

Paper Title: Experimental Study on Low Density Brick (Cenosphere Bricks)

Abstract: A flyash bricks can be extensively used in all types of building construction activities. Our project was

based on low density brick, using cenosphere material. The cenosphere bricks may be comparatively lighter in

weight and stronger than common flyash bricks. Since cenosphere is being accumulated as waste material in large

quantity in thermal power plants and creating serious environmental pollution problems. Flyash is replacing to

cenosphere of flyash bricks with proportion as using specimen size 230mm x 100mm x 75mm were cast for mix

percentage of cenosphere(60%), OPC(10%) and Quarry dust (30%). The results shows the variation of compressive

strength and water absorption for mix proportions of materials mentioned earlier at curing ages. Then we may

consider the specimen size 230mm x 100mm x 100mm to casting the bricks of different mix proportions to the

percentage of cenosphere (15 to 50%), OPC (5 to 35%) and Quarry dust (20 to 55%).We had tested various specimen

as per proportion considered for casting. After this, we compared the weight, compressive strength and water

absorption of cenosphere with different proportion of flyash bricks.

Keywords: Cenosphere, OPC (Ordinary Portland Cement), Quarry dust, weight, Compressive strength and Water

absorption

References: 1. Tahmina Banu, Md. Muktadir Billah, et. al, Experimental Studies on Fly Ash-Sand-Lime Bricks with Gypsum Addition: American Journal of

Materials Engineering and Technology, 2013, Vol. 1, No. 3, 3540 2. Prabir Kumar Chaulia and Reeta Das, Process Parameter Optimization for Fly Ash Brick by Taguchi Method: Material Research; 2008.11.

159-164.

3. Tutunlu Faith, and Atalay Umit.Utilization of Fly ash in Manufacturing of Building Brick: International Ash utilization Symposium, Center for applied Engineering Research; 2001 paper 13.

4. Wang, J., Zhang, M., Li, W., Chia, k., and, Liew, R. (2012). Stability of cenospheres in lightweight cement composites in terms of alkali–silica

reaction. Cement and Concrete Research, 42, 721–727. 5. Y, X., Shen, Z., Xu, Z., and, Wang, S. (2007).Fabrication and structural characterization of metal films coated on cenosphere particle by

magnetron sputtering deposition. Applied Surface Science, 253, 7082-7088.

6. Cao, X., and, Zhang, H. (2013).Investigation into conductivity of silver-coated cenosphere composites prepared by a modified electroless process. Applied Surface Science, 264, 756- 760.

20-27

5.

Authors: Nitish Premanand Wadker, Amita Dessai

Paper Title: Bone Fracture Detection using X-ray Images

Abstract: Diagnosing minute fractures in the cases of pelvis bone injuries is critical for speedy and successful

patient treatment. Minute fracture detection using x-ray images can be challenging and time consuming to examine

due to their low resolution and dissimilar visual characteristics of fractures by their position. The pelvis bone is most

dense due to which visual detection of the fracture is very difficult. This paper presents a fracture detection technique

for the pelvis bone as well as pubic ring using Distance Regularized Level Set Evolution (DRLSE) technique for

segmentation and detection of fracture using Canny Edge detector and gradient technique. Also inspection of

displacement of the pelvic bone is done using Gray Level Co-occurrence Matrix (GLCM). Results so far have been

encouraging and will be helpful in guiding the physicians and for better treatment of the patients.

Keywords: Biomedical image processing, Distance regularized level set evolution, Image processing, Pelvis bone

fracture.

References: 1. M. J. Heetveld, I. Harris, G. Schlaphoff, and M. Sugrue, “Guidelines for the management of haemodynamically unstable pelvic fracture

patients,” ANZ Journal of Surgery, vol 74, no 7, pp. 520-529, 2004. 2. Abubacker, Nirase Fathima, Azreen Azman, Masrah Azrifah and Shyamala Doraisamy, "An approach for an automatic fracture detection of

skull dicom images based on neighboring pixels." Intelligent Systems Design and Applications (ISDA), 2013 13th International Conference

on. IEEE, 2013. 3. Anu T C, Mallikarjunaswamy M. S. and Rajesh Raman, “Detection of bone fracture using image processing methods”, International Journal

of Computer Applications (0975-8887), National Conference on Power Systems & Industrial Automation (NCPSIA 2015).

4. Kalyn, Michael R., and Francis M. Bui. "A curvature-based edge detector for x-ray radiographs." Computing and Communication (IEMCON), 2015 International Conference and Workshop on. IEEE, 2015.

5. Prasad, PM K., G. Sasi Bhushana Rao, and M. N. V. S. S. Kumar. "Analysis of X-ray images using MRA based biorthogonal wavelets for

detection of minute fractures." Science Engineering and Management Research (ICSEMR), 2014 International Conference on. IEEE, 2014. 6. Madheswaran, M., and R. Vijayakumar. "Estimation of various parameters of fractured femur with different load conditions using Finite

element analysis." Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on. IEEE, 2014.

7. Cao, Yu, Hongzhi Wang, Mehdi Moeadi, Prasanth Prasanna, Tanveer F. Syeda-Mahmood, "Fracture detection in x-ray images through stacked random forests feature fusion." Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on. IEEE, 2015.

8. Vijayakumar, R., and G. Gireesh. "Quantitative analysis and fracture detection of pelvic bone X-ray images." Computing, Communications

and Networking Technologies (ICCCNT), 2013 Fourth International Conference on. IEEE, 2013. 9. Chowdhury, Ananda S., Joseph E. Burns, Arka Mukherjee, Bhaskar Sen, Jianhua Yao and Ronald M. Summers, "Automated detection of

pelvic fractures from volumetric CT images." Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on. IEEE, 2012.

10. Smith, Rebecca, Kevin Ward, Charles Cockrell, Jonathan Ha and Kayvan Najarian, "Detection of fracture and quantitative assessment of

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displacement measures in pelvic X-RAY images." Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on. IEEE, 2010.

11. Unde, Amit Satish, V. A. Premprakash, and Praveen Sankaran. "A novel edge detection approach on active contour for tumor segmentation."

Engineering and Systems (SCES), 2012 Students Conference on. IEEE, 2012. 12. Li, Chunming, Chenyang Xu, Senior Member, IEEE, Changfeng Gui and Martin D. Fox, "Distance regularized level set evolution and its

application to image segmentation." IEEE Transactions on image processing 19.12 (2010): 3243-3254.

13. Prof. Jasjit S. Suri and Prof. Aly A. Farag, “Deformable models,” Springer Science and Business Media, 10 –Aug- 2007.

6.

Authors: Kashmeera Keshav Kale, Sangam Borkar

Paper Title: Image Restoration based on Blur Identification

Abstract: It is challenging to take satisfactory photographs in poorly-lit environment using a hand-held camera.

With the long exposure time, the image is blurred due to camera shake. Whereas, with short exposure time, the image

is dark and noisy. In this project paper we will present a method to improve the quality of given pictures. In

particular blind deconvolution will be applied to deblur the images. Blind deconvolution is an indistinct problem and

needs to be solved using regularization techniques. The steps involved are: first, an image blur identification index is

calculated to evaluate the sharpness of the image. The said index is used in determining whether the following

procedure needs to be performed or not. Second, a normalized sparse regularization blind deconvolution technique is

used to recover the image. And lastly, we check for quality using various quality assessment algorithms to evaluate

the result of recovered image. Experiment result show that the proposed blur identification algorithm and the quality

assessment methods are effective in upgrading the efficiency of recovering the image while guarantying a true

output.

Keywords: Blur identification metric, Blind restoration, Image quality assessment, Sparse Regularization

References: 1. Wang X, Tian B, Liang C, “Blind image quality assessment for measuring image blur”. Proceedings of Conference on Image and Signal

Processing, 2008: 467-470. 2. Wang, Xin, et al. "Blind image quality assessment for measuring image blur." Image and Signal Processing, 2008. CISP'08. Congress on.

Vol. 1. IEEE, 2008.

3. Batten, Christopher F. Autofocusing and astigmatism correction in the scanning electron microscope. Diss. Faculty of the Department of Engineering, University of Cambridge, 2000.

4. Marziliano, Pina, et al. "A no-reference perceptual blur metric." Image Processing. 2002. Proceedings. 2002 International Conference on.

Vol. 3. IEEE, 2002. 5. Wang Z, Sheikh H R, Bovik A C. No-reference perceptual quality assessment of JPEG compressed images. in Proceedings of International

Conference on Image Processing, 2002: 477-48Wang, Zhou, et al. "Image quality assessment: from error visibility to structural similarity."

IEEE transactions on image processing 13.4 (2004): 600-612. 6. Krishnan, Dilip, Terence Tay, and Rob Fergus. "Blind deconvolution using a normalized sparsity measure." Computer Vision and Pattern

Recognition (CVPR), 2011 IEEE Conference on. IEEE, 2011.

7. Chen, Xiaogang, et al. "An effective document image deblurring algorithm." Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. IEEE, 2011.

8. Crete, Frederique, et al. "The blur effect: perception and estimation with a new no-reference perceptual blur metric." Electronic Imaging

2007. International Society for Optics and Photonics, 2007. 9. Krishnan, Dilip, Terence Tay, and Rob Fergus. "Blind deconvolution using a normalized sparsity measure." Computer Vision and Pattern

Recognition (CVPR), 2011 IEEE Conference on. IEEE, 2011.

10. Whyte, Oliver, et al. “Non-Uniform Deblurring for shake images”. International journal of computer vision 98.2(2012):168-186. 11. Wang, Zhou, et al. "Image quality assessment: from error visibility to structural similarity." IEEE transactions on image processing 13.4

(2004): 600-612.

12. Lei, Yin, et al. "Image blind restoration based on blur identification and quality assessment of restored image." Control Conference (CCC), 2015 34th Chinese. IEEE, 2015.

33-38

7.

Authors: Ashish Chaudhari, Hemant Isai, Sumit Jha, Abhijeet Shetake, Mitesh Thakkar

Paper Title: Design and Fabrication of 0.5mm KLICK Pencil Assembly Machine

Abstract: This work aims at design and development of Special Purpose Mechanism for assembly of 0.5mm klick

lead pencil for KOKUYO CAMLIN LTD. The important assembly stations consists of feeding the lead on the

assembled pencil with barrel and chuck with the help of special fixture and pneumatic circuit followed by mounting

cylindrical eraser over the pencil barrel and at last pencil cap for feeding the lead forward during working. All the

three operations are simultaneously carried out over the turn table which rotates in forward step and dwell period

with use of special Geneva Mechanism. The design of jigs, fixtures and pneumatic circuits will be done on Solid

Works and simulated using ANSYS if necessary. The designed component will be then manufactured and fabricated

at KOKUYO CAMLIN CAMPUS at Vasai Road and will be tested for the product. The results expected will be less

assembly time and faster work production which saves human errors, electricity and time of production.

Keywords: SPM, Chuck, Jig & Fixtures, Geneva Mechanism.

References: 1. Alsterman, H. (2010)” Operations Management:MG2205” [Lecture Notes] Stockholm, Sweden: KungligaTekniskahögskolan, Department of

Production Engineering

2. REDDAM A., Emre O. “A case study brought out at Electrolux”

3. GrooverMikell P. “Automation, Production systems and Computer integrated Manufacturing” 4. Kenneth Waldron, Gary Kinzel “Kinematics, Dynamics and Design of Machinery” 2nd ed., , Wiley India Edition

5. Bhandari V. B. “Design of machine elements” Tata McGraw Hill Pub.

39-42

8.

Authors: M. Kamesh, T. Karthik, M. Ramakrishnan, S. Sanjay Kumar, P. Suresh Kumar

Paper Title: Experimental Project on Concrete - Partial Replacement of Cement by Prosopis Juliflora Ash

Abstract: In order to save the environment and to save the resources we have come up with using the Prosopis 43-46

juliflora (Semai Karuvelam in Tamil) ash as the partial replacement of cement. Cement will produce equal amount of

greenhouse gas (co2) which increase the global warming. As the amount of cement is reduced greenhouse gases also

reduced. Utilization of Juliflora ash as a partial substitution for cement is one of the promising method to increase the

strength and thermal insulation for cement blocks. The strength parameters (compressive strength, split tensile

strength and flexural strength) of concrete with blended Prosopis juliflora cement are evaluated.

Keywords: Environment, Prosopis Juliflora, Partial Replacement of Cement, Strength Parameter

References: 1. Calistus Ayegba., Strength Characteristics Of Concrete Made With Rice Husk Ash As Partial Replacement Of Cement Using Periwinkle Shell

As Coarse Aggregate, International Journal of Engineering Research & Technology (IJERT),2013,2, 266-276 2. Aditya Verma, Abhishek Kumar, Ashish Mishra, Arjit Verma, Pond ash as partial replacement of cement, International Research Journal of

Engineering and Technology, 2016,03, 511-515

3. Vikas R Nadig, Sanjith J, Ranjith A, Kiran B M.,Bottom ash as partial sand replacement in concrete, IOSR Journal of Mechanical and Civil Engineering ,2015,12, 148-151

4. J.O. Akinyele, A.A. Adekunle And O. Ogundaini., The effect of partial replacement of cement with bone ash and Juliflora ash in concrete,

International Journal of Engineering ,2016,199-204 5. Vignesh Kumar Nagarajan, S. Aruna Devi, S. P. Manohari, M. Maria Santha., Experimental Study on Partial Replacement of Cement with

Coconut Shell Ash in Concrete, International Journal of Science and Research (IJSR), 651-661

6. A. Raheem, B.S. Olasunkanmi, C.S. Folorunso.,Saw dust ash as partial replacement for cement in concrete, Research paper,2012, 474-480

7. IS 456 : 2000 Plain and reinforced concrete-Code of practice (Fourth revision)

8. IS 10262 : 2009 Concrete mix proportioning- Guidelines (first revision)

9. M.S.SHETTY., concrete technology, sixth edition, 2005