Volume-6 Issue-1

  • Version
  • Download 35
  • File Size 4.00 KB
  • File Count 1
  • Create Date August 27, 2017
  • Last Updated November 23, 2018

Volume-6 Issue-1

 Download Abstract Book

S. No

Volume-6 Issue-1, March 2017, ISSN:  2277-3878 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. 

Page No.



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.

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


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.    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.

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.






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.

 Fractal antenna, Microstrip, Multiband, Reconfigurable antenna


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.






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.

Feature Selection (FS), Linguistic Hedge (LH), Neuro-Fuzzy Classifier (NFC), Scaled Conjugate Gradient algorithm (SCG), Thyroid Disorders.


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.

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






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


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.






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.

Biomedical image processing, Distance regularized level set evolution, Image processing, Pelvis bone fracture.


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 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.






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.

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


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.





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.

 SPM, Chuck, Jig & Fixtures, Geneva Mechanism.


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.





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 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.

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


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