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IJERD : Volume 13 - Issue 6

Version - 1 (June 2017)


Neelima Chintala, D. Ravi Krishna Reddy, M. Nagaraju

A Novel Approach for Detecting the IRIS Crypts
  • Abstract
  • Keywords
  • Reference
  • Full Article
The iris is a stable biometric trait that has been widely used for human recognition in various applications. However, deployment of iris recognition in forensic applications has not been reported. A primary reason is the lack of human friendly techniques for iris comparison. To further promote the use of iris recognition in forensics, the similarity between irises should be made visualizable and interpretable. Recently, a human-in-the-loop iris recognition system was developed, based on detecting and matching iris crypts. Building on this framework, we propose a new approach for detecting and matching iris crypts automatically. Our detection method is able to capture iris crypts of various sizes. Our matching scheme is designed to handle potential topological changes in the detection of the same crypt in different images.............
Iris recognition, forensics, visible feature, human-in-the-loop, eye pathology, ophthalmic disease, corneal Oedema, iridotomies, conjunctivitis

[1]. J. Daugman, ―How iris recognition works,‖ IEEE Trans. Circuits Syst. Video Technol., vol. 14, no. 1, pp.
21–30, Jan. 2004.
[2]. J. Daugman, ―Probing the uniqueness and randomness of IrisCodes: Results from 200 billion iris pair
comparisons,‖ Proc. IEEE, vol. 94, no. 11, pp. 1927–1935, Nov. 2006.
[3]. Unique Identification Authority of India. [Online]. Available: http://uidai.gov.in, accessed Nov. 1, 2015.
[4]. K. R. Nobel, ―The state of the art in algorithms, fast identification solutions and forensic applications,‖
MorphoTrust USA, Billerica, MA, USA, Tech. Rep., Jan. 2013. [Online]. Available:
http://www.planetbiometrics.com/article-details/i/1446/.
[5]. P. E. Peterson et al., ―Latent prints: A perspective on the state of the science,‖ Forensic Sci. Commun.,
vol. 11, no. 4, pp. 1–9, 2009

Citation
Neelima Chintala, D. Ravi Krishna Reddy, M. Nagaraju "A Novel Approach for Detecting the IRIS Crypts" published at International Journal of Engineering Research and Development, Volume 13, Issue 6 (June 2017)
MID 1306.067X.0001. Norway
Page 01-12
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Trushant Mahatkar, Mrs Manjusha R. Bachawad

PV System Connected to Grid with Supercapacitor for Fault Ride through (FRT) Capabilty Enhancement
  • Abstract
  • Keywords
  • Reference
  • Full Article
Nowadays renewable energy sources (RES) are integrated to the grid to fulfil the increased deman to energy.............
Active and reactive power control, Fault ride through (FRT), Grid side inverter, photo voltaic (PV).

[1]. Mukhtair Singh, Vinod Khadikar, Ambrish Chandra and Rajiv K. Mehra, "Grid interconnection of Renewable..............."

Citation
Trushant Mahatkar, Mrs Manjusha R. Bachawad"PV System Connected to Grid with Supercapacitor for Fault Ride through (FRT) Capabilty Enhancement" published at International Journal of Engineering Research and Development, Volume 13, Issue 6 (June 2017)
MID 1306.067X.0002. India
Page 13-20
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Surabhi Sunil Londhe, Mrs. Manjusha R. Bachawad

Comparative Study of Various Filtering Techniques to Reduce Harmonics in HVDC Converter Transfomer Due to GIC
  • Abstract
  • Keywords
  • Reference
  • Full Article
The Geomagnetically induced current adversely effects the power system. Main impact of geomagnetically induced current is on power transformer and also HVDC converter transformer. Because of the interaction of the solar storm on earth, there is a occurrence of DC bias current. Many harmful effects are observed in the HVDC converter transformer. The invasion of geomagnetically induced current into the converter transformer is through neutral wire which will result into the saturation of converter transformer core saturation..............
Geoamagnetically induced current(GIC),Converter transformer, DC bias, Filtering techniques

[1]. J.A.Patel,R.S.Mehta,S.B.Rathod,V.N.Rajput,K.S.Pandya, "Analysis of Gepmagnetically Induced Current in Transformer", International Conference on Electrical,Electronics and Optimization Techniques (ICEEOT)-2016.
[2]. Xue ling Ma,Ju Wen,Lian guang Liu,Chao Wang, "Simulation Study on Converter Transformer Saturation Characteristics due to GIC",International Conference on Electricity Distribution,China,2010.
[3]. Yong Li,Longfu Luo,Dajiang He,Christian Rehtanz,Dechang Yang,Sven Riberg, "Study on the Effects of the DC Bias on the Harmonic Characteristic of the New Converter Transformer",IEEE,2010.
[4]. Dechang Yang,Yong Li,Christian Rehtanz,Longfu Luo,Jiazhu Xu, "Study on Harmonic Losses of Inductive Filtering Converter Transformer(IFCT) in HVDC System,IEEE,2010.
[5]. R.Girgis,K.Vedante,K.Gramme, "Effects of Geomagnetically Induced Currents on Power Transformers and Power Systems",CIGRE 2012.

Citation
Surabhi Sunil Londhe, Mrs. Manjusha R. Bachawad"Comparative Study of Various Filtering Techniques to Reduce Harmonics in HVDC Converter Transfomer Due to GIC" published at International Journal of Engineering Research and Development, Volume 13, Issue 6 (June 2017)
MID 1306.067X.0003. India
Page 21-25
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Abaka J.U, Haruna S., Ibraheem T.B, Olokede O

Building Energy Efficiency Into Energy Equation
  • Abstract
  • Keywords
  • Reference
  • Full Article
The increasing demand of energy in the world has causes the pollution and devastation of environment and also depletion of the resources. It imminent that cannot be avoided, however, There is agitation and confrontation from country to country which later realised that only energy efficiency practices is the means of minimizing the impact to the environment, but developing countries like Nigeria centered only on end users. These studies see how energy efficiency will be built into energy generation processes and the benefit to the environment, economic growth and development of a country.
Energy, environment, efficiency, and generation.

[1]. ABB Incorporation(2011). Enhancing Productivity and Energy Efficiency Oil Refineries, Terminals and
Downstream Complexes. www.abb.co.uk/refining.
[2]. ABB Inc. (2007), Energy Efficiency in Power Grid. www.abb.co.uk
[3]. Caiflin Bergh (2012). Energy Efficiency in the South Africa Crude Oil Refining Industry; Drives, Barriers and
Opportunities.
[4]. Dan Staniaszek and Eoin Lees, (2012). Determining Energy Savings for Energy Efficiency Obligation Schemes
[5]. Feynman, Richard (1964). The Feynman Lectures on Physics; Volume 1. U.S.A: Addison Wesley. ISBN 0-201-
02115-3

Citation
Abaka J.U, Haruna S., Ibraheem T.B, Olokede O "Building Energy Efficiency Into Energy Equation" published at International Journal of Engineering Research and Development, Volume 13, Issue 6 (June 2017)
MID 1306.067X.0004.
Page 26-29
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Shankar B. Bandiwaddar, Dr. D Jayadevappa

Estimation of Ensembles in an Adventitious Wave by EMD and EEMD Techniques
  • Abstract
  • Keywords
  • Reference
  • Full Article
The Empirical Mode Decomposition (EMD) is a basic building block of Hilbert-Huang Transformation. The main principle behind EMD is to decompose a sound wave into its intrinsic mode function (IMF). The time domain analysis is fairly described with EMD breaking down. The basis is derived from the same sound wave only. The analysis is useful for affected respiratory sound waves, which are non-linear and non-stationary in nature. Huang and Wu established another milestone in the area of EMD called Ensemble Empirical Mode Decomposition (EEMD). The EEMD is now can be used to interpolate a sound wave from the affected waveform.............
CAS, DAS, EEMD, EMD, EXTREMA, MINIMA.

[1]. Hai-Lin Feng, Yi-Ming Fang, Xuan-Qi Xiang, Jian Li," A Data-Driven Noise Reduction Method and Its Application for the Enhancement of StressWave Signals" ScientificWorld Journal article id 353081 , 2012 .
[2]. Tsung-Ying Sun Chan-Cheng Liu ; Jyun-Hong Jheng ; "An efficient noise reduction algorithm using empirical mode decomposition and correlation measurement" Intelligent Signal Processing and Communications Systems, Feb2008.
[3]. Yunchao Gao Enfang Sang ; Zhengyan Shen "Comparison of EMD and Complex EMD in Signal Processing" image and Signal Processing, 2008.
[4]. Shelja Kumari, Himanshu Sharma, and Taruna Sharma, "Broadband Signal Noise Reduction by Various Techniques" in IJERD, 2013, paper 7.7, p. 49.

Citation
Shankar B. Bandiwaddar, Dr. D Jayadevappa "Estimation of Ensembles in an Adventitious Wave by EMD and EEMD Techniques" published at International Journal of Engineering Research and Development, Volume 13, Issue 6 (June 2017)
MID 1306.067X.0005. India
Page 30-33
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Ms. A. Satya Visali, Dr. D S V Prasad

Effect on Geotechnical Properties of Pond Ash with Variation of Compactive Energy
  • Abstract
  • Keywords
  • Reference
  • Full Article
With the increase in the number of coal based thermal power plants in India, generation of coal ash has reached enormous proportions. India at present produces around 120 Million tonnes of Ash per annum. The power requirements of the country are rapidly increasing with increase in growth of the industrial sectors. India depends on Thermal power as its main source (around 80% of power produced is thermal power), as a result the quantity of Ash produced shall also increase. Indian coal on an average has 35 % Ash and this is one of the prime factors which shall lead to increased ash production and hence, Ash utilization problems for the country. Out of the total ash produced. Fly ash contributes to a small percentage, majority being Pond ash and bottom ash. Ash disposal involves design and installation of ash ponds............
Pond Ash, Compaction Energy, Stress, Strain, UCS.

[1]. Soil Mechanics and Foundation Engineering - B.C. Punmia
[2]. J. Breckling, Ed., "The Analysis of Directional Time Series: Applications to Wind Speed and Direction", ser. Lecture Notes in Statistics. Berlin, Germany: Springer, 1989, vol. 61.
[3]. Ashis Kumar Bera; Ambarish Ghosh; andAmalendu Ghosh "Compaction Characteristics of Pond Ash".
[4]. Flyash characterization With Reference to Geotechnical Applications- N. S. PANDIAN, Department of Civil Engineering, Indian Institute of Science, Bangalore R. E. Sorace, V. S. Reinhardt, and S. A. Vaughn, "High-speed digital-to-RF converter," U.S. Patent 5 668 842, Sept. 16, 1997.
[5]. G. A. Leonardsand B. Bailey"Pulverized Coal Ash as Structural Fill", Journal of Geotechnical Engineering Div., ASCE, 108, 517–531 (1982).

Citation
Ms. A. Satya Visali, Dr. D S V Prasad "Effect on Geotechnical Properties of Pond Ash with Variation of Compactive Energy" published at International Journal of Engineering Research and Development, Volume 13, Issue 6 (June 2017)
MID 1306.067X.0006. India
Page 34-39
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Mrs Priti Phalak, DR.Utkarsh Maheshwari, MRs Sonali Singh, MS. Shweta Kumbhar

Study of Membrane Transport for Protein Filtration Using Artificial Neural Networks
  • Abstract
  • Keywords
  • Reference
  • Full Article
Artificial Neural Networks (ANNs) are nonlinear mapping structures which functions same as human brain. Modeling can be made stronger especially while the underlying data relationship is not known. ANNs may recognize and learn inter-related patterns between input data sets and related target values. After training, ANNs may be utilized to judge the output of new independent input data. Thus ANNs are used best for the modeling of membrane processes, like ultra filtration and microfiltration. This allows us to judge the permeate flux and membrane rejection as functions of process variables. The aim is modeling of membrane transport for protein filtration is to analyze membrane systems by means of ANNs. To analyze this different ANNs are developed with the help of Mat lab. [1a][9].
..............

[1]. Sanjeev V. Tambe, Bhaskar D. Kulkarni and Pradeep Deshpande, Elements of Artificial Neural Network with Selected Applications in Chemical Engineering and Chemical & Biological Sciences, Simulation and Advanced Control Inc., Louisville, USA, 1995
[2]. Curcio, S... "Ultrafiltration of BSA in pulsating conditions: an artificial neural networks approach", Journal of Membrane Science, 20050115
[3]. Stefano Curcio, Germana Scilingo,Vincenza Calabro, Gabriele Iorio , Ultrafiltration of BSA in pulsating conditions-an artificial neural networks approach,Department of Chemical Engineering and Materials, University of Calabria. Journal of Membrane Science 246 (2005) 235–247
[4]. Mohammad A.Razavi. "Dynamic modeling of milk ultra filtration by artificial neural network", Journal of Membrane Science, 20030801
[5]. Albert S. Kim and Huaiqun Chen, Prediction of permeate flux decline in Cross flow membrane filtration of colloidal suspension: a radial basis function neural network approach, Department of Civil and Environmental Engineering, University of Hawaii at Manoa,Honolulu, Hawaii.

Citation
Mrs Priti Phalak, DR.Utkarsh Maheshwari, MRs Sonali Singh, MS. Shweta Kumbhar "Study of Membrane Transport for Protein Filtration Using Artificial Neural Networks" published at International Journal of Engineering Research and Development, Volume 13, Issue 6 (June 2017)
MID 1306.067X.0007. India
Page 40-49
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Anil S Maheshwari , Dr.Rupesh R. Gawande

The Role of Burnishing Process in Manufacturing Industry -A State-of-the-Art Survey-
  • Abstract
  • Keywords
  • Reference
  • Full Article
Burnishing process is a surface enhancement technique, which improves the surface finish of the component along with surface properties of the component. It is a cost effective process, mostly used in aerospace, biomedical, and automobile industries to improve reliability and performance of the component. In burnishing process, response parameters depends on burnishing process parameters, tool, and material on which burnishing is done. The key driving forces for newer production technologies and material development are strength to weight ratio of materials, performance and reliability improvement. The availability of appropriate manufacturing methods plays a vital role with respect to both material properties, cost. Authors tried to review the research papers of last four decades and progress of burnishing process is discussed
Burnishing Tool, Surface Integrity, Optimization, Stiff Burnishing, Burnishing Process Parameters

[1]. N. H. Tam, S CLoh and S. Miyazawa, ―Surface hardening by ball burnishing,‖ Tribol. Int., vol. 23, no. 6, pp. 413–417, 1991
[2]. T. Morimoto and K. Tamamura, ―Burnishing process using a rotating ball-tool — effect of tool material on the burnishing process,‖ Wear, vol. 147, no. 1, pp. 185–193, 1991
[3]. F. Klocke and J. Liermann, ―Roller burnishing of hard turned surfaces,‖ Int. J. Mach. Tools Manuf., vol. 38, no. 5–6, pp. 419–423, 1998.
[4]. F. J. Shiou and C. H. Chen, ―Freeform surface finish of plastic injection mold by using ball-burnishing process,‖ J. Mater. Process. Technol., vol. 140, no. 1–3 SPEC., pp. 248–254, 2003
[5]. B. C. Yeldose and B. Ramamoorthy, ―An investigation into the high performance of TiN-coated rollers in burnishing process,‖ J. Mater. Process. Technol., vol. 207, no. 1–3, pp. 350–355, 2008.

Citation
Anil S Maheshwari, Dr. Rupesh R. Gawande "The Role of Burnishing Process in Manufacturing Industry -A State-of-the-Art Survey-" published at International Journal of Engineering Research and Development, Volume 13, Issue 6 (June 2017)
MID 1306.067X.0008. India
Page 55-60
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Mr. Aslam Shaik, Dr. A. Srinivasula Reddy

Power Quality Disturbaces Clasification And Automatic Detection Using Wavelet And ANN Techniques
  • Abstract
  • Keywords
  • Reference
  • Full Article
In this paper a development method to detect and classify the several power quality problems using the discrete wavelet transformation and artificial neural networks combined. There are several other methods in use to detect the same problem like Hilbert transform, Gabor transform, Gabor-Wigner transform, S transform, and Hilbert-Haung transform. The method of using wavelet and ANN includes the development of voltage waveforms of sampling rate and number of cycles, and also large number of power quality events with help of MATLAB software. The wavelet transformation and ANN tools used to get required coefficients. The obtained events of power quality monitored in each step to classify the particular event. These steps of the paper lead towards the automatic real time monitoring, detection and classification of power signals.
Power quality problem detection; wavelet transform; Artificial Nural Network.

[1]. Power quality event classification: an overview and key issues D. Saxena*1, K.S. Verma# and S.N.Singh. International journal of engineering, science and technology vol 2 ,no 3 ,2010 pp. 186-199
[2]. MATLAB/Simulink based Modeling and simulation of Power quality Disturbances by S.Khokhar, A.A mohdZin , A.S mokhtar ,. 2014 IEEE

Citation
Mr. Aslam Shaik, Dr. A. Srinivasula Reddy "Power Quality Disturbaces Clasification And Automatic Detection Using Wavelet And ANN Techniques" published at International Journal of Engineering Research and Development, Volume 13, Issue 6 (June 2017)
MID 1306.067X.0009. India
Page 61-67
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