- For Authors
- For Reviewers
With popularization of internet, internet attack cases are also increasing, thus information safety has become a significant issue all over the world, hence Nowadays, it is an urgent need to detect, identify and hold up such attacks effectively . In this modern world intrusion occurs in a fraction of seconds and Intruders cleverly use the adapted version of command and thereby erasing their footprints in audit and log files. Successful IDS intellectually differentiate both intrusive and nonintrusive records. Most of the existing systems have security breaches that make them simply vulnerable and could not be solved. Moreover substantial research has been going on intrusion detection system which is still considered as immature and not a perfect tool against intrusion. It has also become a most priority and difficult tasks for network administrators and security experts. So it cannot be replaced by more secure systems .
Keywords : ids, testing, weka, redundent, classification
 Su-Yun Wua, Ester Su-Yun Wua” Data mining-based intrusion detectors Crown Copyright” 2008 Published by Elsevier Ltd.  G.V. Nadiammai,“ Effective approach toward Intrusion Detection System using data mining techniques”2013.  Bace, Rebecca G. “ NIST special publication on intrusion detection systems”IEEE2002.  Kalpana Jaswal, Seema Rawat,Praveen Kumar “Design and Development of a prototype Application for Intrusion Detection using Data mining” 2015 IEEE.  S.V. Shirbhate, Dr.S.S.Sherkar, Dr.V.M.Thakare ” Performance Evaluation of PCA Filter In Clustered Based Intrusion DetectionSystem”2014.  Muamer N. Mohammada, Norrozila Sulaimana, Osama Abdulkarim Muhsinb “A Novel Intrusion Detection System by using Intelligent Data Mining in Weka Environment”2010.  D. Patterson, F. Liu, D. Turner “Performance Comparison of the Data Reduction System. Proceedings of the SPIE Symposium on Defense and Security”2008.  M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann and I.H. Witten, “The WEKA Data Mining Software: An Update” 2009.  Weka: Data Mining Software in Java http://www.cs.waikato.ac.nz/ml/weka  B.X.Wang, D.H.Zhang, J.Wang, et al, “Application of Neural Network to Prediction of Plate Finish Cooling Temperature”, Journal of Central South University of Technology, 2008.  Ian H.Witten and Elbe Frank, "Datamining Practical Machine Learning Tools and Techniques" 2005.  Yang Yong” The Research of Imbalanced Data Set of Sample Sampling Method Based on K-Means Cluster and Genetic Algorithm” © 2011, 164 – 170  Li Hanguang, Ni Yu “Intrusion Detection Technology Research Based on Apriori Algorithm”2012.  Nadya EL Moussaid, Ahmed Toumanari Essi, “Overview of Intrusion Detection Using Data-Mining and the featuresselection”IEEE2015.
Camera Shake is caused by not holding the camera still. Because of hand tremors, the shake can be too much. This will result in a blurred, or sometimes an image over image. Camera shake is more when there is no adequate light source and when using long lenses which exaggerate movement, and also when taking images of moving objects. Camera Shake is caused by not holding the camera still. Because of hand tremors, the shake can be too much. This will result in a blurred, or sometimes an image over image. Camera shake is more when there is no adequate light source and when using long lenses which exaggerate movement, and also when taking images of moving objects. Image blur can be observed when the camera focus is not properly set, when there are different objects at different depths, or in the presence of is a motion blur. In order to remove camera shake, many algorithms have been proposed. In this paper we will examine different methods and techniques of camera shake removal. In order to remove camera shake, many algorithms have been proposed. In this paper we will examine different methods and techniques of camera shake removal.
Keywords : Deblurring, SURF algorithm, Burst registration
 O.Whyte, J. Sivic, A. Zisserman, and J. Ponce, Non-uniform deblurring for shaken images,” Int. J. Comput. Vis., vol. 98, no. 2, pp. 168–186, 2012.  T. Buades, Y. Lou, J.-M. Morel, and Z. Tang, A note on multi-image denoising,” in Proc. Int. Workshop Local Non-Local Approx. Image Process. (LNLA), Aug. 2009, pp. 1–15.  H. Zhang, D. Wipf, and Y. Zhang,Multi-image blind deblurring using a coupled adaptive sparse prior, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2013, pp. 1051–1058.  Boracchi and A. Foi, Modeling the performance of image restoration from motion blur, IEEE Trans. Image Process., vol. 21, no. 8,pp. 3502–3517, Aug. 2012.  B. Zitová and J. Flusser, Image registration methods: A survey, Image Vis. Comput. vol. 21, no. 11, pp. 977–1000, 2003.  M. Lebrun, A. Buades, and J.-M. Morel, Implementation of the‘non-local Bayes’ (NL-Bayes) image denoising algorithm Image Process. Line, vol. 3, pp. 1–42, Jul. 2013.  A. Rav-Acha and S. Peleg, Two motion-blurred images are better than one,Pattern Recognit. Lett., vol. 26, no. 3, pp. 311–317, 2005.  R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis, and W. T. Freeman,Removing camera shake from a single photograph, ACM Trans. Graph., vol. 25, no. 3, pp. 787–794, 2006.  L. Yuan, J. Sun, L. Quan, and H.-Y. Shum, Image deblurring with blurred/noisy image pairs, ACM Trans. Graph., vol. 26, no. 3, 2007, Art. ID 1.  Q. Shan, J. Jia, and A. Agarwala, High-quality motion deblurring froma single image, ACM Trans. Graph., vol. 27, no. 3, 2008, Art. ID 73.  S. Cho and S. Lee, Fast motion deblurring ACM Trans. Graph.,vol. 28, no. 5, 2009, Art. ID 145.  X. Zhu, F. Šroubek, and P. Milanfar, Deconvolving PSFs for a better motion deblurring using multiple images, in Proc. IEEE 12th Eur. Conf. Comput. Vis. (ECCV), Oct. 2012, pp. 636–647.  F. Sroubek and P. Milanfar Robust multichannel blind deconvolution via fast alternating minimization, IEEE Trans. Image Process., vol. 21, no. 4, pp. 1687–1700, Apr. 2012.  H. Zhang, D. Wipf, and Y. Zhang, Multi-image blind deblurring using a coupled adaptive sparse prior}, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2013, pp. 1051–1058.  L. Xu, S. Zheng, and J. Jia,Unnatural L0 sparse representation for natural image deblurring, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2013, pp. 1107–1114.  A. Ito, A. C. Sankaranarayanan, A. Veeraraghavan, and R. G. Baraniuk, Blurburst: Removing blur due to camera shake using multiple images,ACM Trans. Graph., to be published.  Mauricio Delbracio and Guillermo Sapiro, Removing Camera Shake via Weighted Fourier Burst Accumulation, IEEE Tans.on Image Processing, VOL. 24, NO. 11, November 2015 3293
In this paper we have discussed the problems of data quality which are addressed during data cleaning phase. Data cleaning is one of the important processes during ETL. Data cleaning is especially required when integrating heterogeneous data sources. This problem should be addresses together with schema related data transformation. At the end we have also discussed the Current tool which supports data cleaning.
Keywords : Data Cleaning, Data Warehousing, Data Quality,ETL,Data Cleaning Tool
 Pandey R.K, Data Quality in Data warehouse: problems and solution ,IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 1, Ver. IV (Jan. 2014), PP 18-24 www.iosrjournals.org  M Sakshi et all, An Overview On Evocation Of Data Quality At ETL Stage,International Journal of Advanced Technology in Engineering and Science ,www.ijates.com Volume No 03, Special Issue No. 01, March 2015 ISSN (online): 2348 – 7550  Y Richard et al, A Framework for Analysis of Data Quality Research, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 7, NO, 4, AUGUST 1995  Jonathan G, Data Quality Management The Most Critical Initiative You Can Implement , Intelligent Solutions, Inc., Boulder, CO  K Vinay et al, A S IMPLIFIED APPROACH FOR QUALITY MANAGEMENT IN DATA WAREHOUSE International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.3, No.5, September 2013  J.Rajni et al, COMPARATIVE STUDY OF DATA WAREHOUSE DESIGN APPROACHES : A SURVEY ,International Journal of Database Management Systems ( IJDMS ) Vol.4, No.1, February 2012  S.Ranjit et al, A Descriptive Classification of Causes of Data Quality Problems in Data Warehousing ,IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 3, No 2, May 2010 41 ISSN (Online): 1694-0784 ISSN (Print): 1694-0814  Erhard Rahm et al, Data Cleaning: Problems and Current Approaches.
In the early development of the wind energy, the majority of the wind turbines have been operated at constant speed. Subsequently, the number of variable-speed wind turbines installed in wind farms has increased. In this paper, a comparative study of fixed wind speed and variable wind speed system incorporating permanent magnet synchronous generator has been presented. These two systems are modeled and simulated using Matlab. The PMSG has received a lot of important in wind energy applications, due to their possessions of self-excitation, high efficiency and with a variable-speed operation it has become possible continuously to adapt the rotational speed ‘wr’ of the wind turbine to the wind speed. The advantage of variable wind speed turbine system is increased the energy captured. The results are presented for the permanent magnet synchronous generator is connected to fixed wind speed and variable wind speed system, The performances of each studied wind generator are evaluated by simulation Work.
Keywords : Wind energy conversion system, Variable wind system, Constant speed system, permanent magnet synchronous generator, wind energy
 S.S. Murthy, Bhim singh, P.K. Goel & S.K. Tiwari “A Comparative Study of Fixed Speed and Variable Speed Wind Energy Conversion Systems Feeding the Grid” IEEE Transactions on PEDS, 7th international conference on Nov. 2007.  S.S. Murthy, CS Jha, P.S. Nagendra Rao, "Analysis of Grid connected Induction Generators Driven by Hydro/Wind Turbine under realistic system constraints", IEEE/PES 1989.  J. G. Slootweg S. W Haan, H. Polinder, W. L Kling, "General Model for Representing Variable Speed Wind Turbines in Power System Dynamics Simulations.", IEEE Trans. on Power Systems 2003, vol. 18, No. 1, February.  R. Datta and V.T. Ranganathan “A Method of Tracking the Peak Power Pointsfor a Variable Speed Wind Energy Conversion System” IEEE Transactions onEnergy Conversion, vol. 18.no. 1, March 2003. pp. 163-168.  C. N. Bhende, S. Mishra and S. G. Malla, “Permanent Magnet Synchronous Generator-Based Standalone Wind energy Supply system”, IEEE Trans. on Sustainable Energy, vol. 2, no. 4, pp. 361–373, Oct. 2011.  H. Huang C. Mao J. Lu D. Wang “Small-signal modeling and analysis of wind turbine with direct drive permanent magnet synchronous generator connected to power grid”, IET Renew. Power Gener., 2012, Vol. 6, Iss. 1, pp. 48–58.  S. N. Bhadra, D. Kastha, S. Banerjee, “Wind Electrical Systems,” Oxford University Press, New Delhi, 2009.
Human re-identification is to match persons observed in non-overlapping camera views with visual features for inter camera tracking. Person re-identification in a non-overlapping multi-camera scenario is an open and interesting challenge. Humans are inherently able to sample those relevant people’s details that allow us to correctly solve the problem in a fraction of a second. But the task can hardly be completed by machines. Human salience is distinctive and reliable information in matching persons across disjoint camera views. So a saliency based approach can be used to re-identify persons in video. The model includes three stages: I) input processing, ii) video processing, iii) matching. The proposed person representation combines visual features either considering or not the saliency. The proposed approach has been extensively evaluated on 3DPes public datasets.
Keywords : Person re-identification, person detection
 T. Ojala, M. Pietikainen, and T. Maenpaa, \Multiresolution gray-scale and rotation invariant texture classification with local binary patterns," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 7, pp. 971987, Jul. 2002.  J. Harel, C. Koch, and P. Perona, \Graph-based visual saliency", in Proc.NIPS, 2007, pp. 552554.  L. J. P. van der Maaten, E. O. Postma, and H. J. van den Herik, \Dimensionality reduction: A comparative review," J. Mach. Learn. Res., vol. 10, pp. 141, Feb. 2009.  M. Hirzer, P. M. Roth, M. Kstinger, and H. Bischof, \Relaxed pairwise learned metric for person re-identification", in Proc. ECCV, 2012, pp. 780793.  W. Li, R. Zhao, and X. Wang, \Human reidentification with transferred metric learning", in Proc. ACCV, 2012, pp. 3144.  M. Kstinger, M. Hirzer, P. Wohlhart, P. M. Roth, and H. Bischof, \Large scale metric learning from equivalence constraints," in Proc. IEEE Conf. CVPR, Jun. 2012, pp. 22882295.  K. Zhang, L. Zhang, and M.-H. Yang, \Real-time compressive tracking," in Proc. ECCV, 2012, pp. 864877.  S. Pedagadi, J. Orwell, S. Velastin, and B. Boghossian, \Local Fisher discriminant analysis for pedestrian re-identification", in Proc. IEEE Conf. CVPR, Jun. 2013, pp. 33183325.  R. Zhao, W. Ouyang, and X. Wang,\ Person re-identification by salience matching", in Proc. IEEE ICCV, Dec. 2013, pp. 25282535  R. Zhao, W. Ouyang, and X. Wang, \Unsupervised salience learning for person re-identification", in Proc. IEEE CVPR, Jun. 2013, pp. 35863593  Niki Martinel, Christian Micheloni, and Gian Luca Foresti , \Kernelized Saliency-Based Person Re-Identification Through Multiple Metric Learning", IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 24, NO. 12, DECEMBER 2015.
The reactive power is control by using Matrix converter at variable speed permanent-magnet synchronous wind generator and improving the performance. The frequency and amplitude of induced voltage also changes due to variation of wind speed. A matrix convertor is used to overcome this problem. A generalized modulation technique concept related to singular value decomposition of the modulation matrix is used to model different modulation techniques and investigate their corresponding input reactive power capability. A new control method is proposed for the matrix converter based on this modulation technique, which uses active and reactive parts of the generator current to increase the control capability of the grid-side reactive current compared to conventional modulation methods. A new control structure is also proposed which can control the matrix converter and the grid-side maximum achievable reactive power for all wind speeds and power conditions generator reactive current is improved.
Keywords : Matrix converter, permanent-magnet synchronous generator (PMSG), singular value decomposition (SVD) modulation, variable-speed wind generator.
 ”Reactive Power Control of Permanent-Magnet Synchronous Wind Generator with Matrix Converter” Hossein Hojabri, Hossein Mokhtari, Member, IEEE, and Liuchen Chang, Senior Member, IEEE  P. W.Wheeler, J. Rodríguez, J. C. Clare, L. Empringham, and A.Weinstein, “Matrix converters: A technology review,” IEEE Trans. Ind. Electron., vol. 49, no. 2, pp. 276–288, Apr. 2002.  M. Chinchilla, S. Arnaltes, and J. C. Burgos, “Control of permanent magnet generators applied to variable-speed wind-energy systems connected to the grid,” IEEE Trans. Energy Convers., vol. 21, no. 1, pp. 130–135, Mar. 2006.  ”Design and Simulation of Matrix Converter for Wind Turbine Coupled Permanent Magnet Synchronous Generator” by Priyabrata Nayak , KanhuCharan Patra , Pradeep Kumar Department of Electrical Engineering, NIT Calicut.  P. W.Wheeler, J. Rodríguez, J. C. Clare, L. Empringham, and A. Weinstein “Matrix converters: A technology review,” IEEE Trans. Ind. Electron., vol. 49, no. 2, pp. 276–288, Apr. 2002.  G. Yang and H. Li, “Application of a matrix converter for PMSG wind turbine generation system,” in Proc. Int. Conf. Clean Elect. Power, Jun. 9–11, 2009, pp. 619–623.  M. E. Haque, K. M. Muttaqi, and M. Negnevitsky, "Control of a standalone variable speed wind turbine with a permanent magnet synchronous generator," in Proc. IEEE Power and Energy Society General Meeting, Jul. 2008, pp. 20-24.  “Simulation of Power Control of a Wind Turbine Permanent Magnet Synchronous Generator System” Nantao Huang Marquette University.  “Wind Energy Conversions Systems Performance Is Improved Using Integrated Matrix Converter Topology” by 1N.Prakash, 2Dr.Ranithottungal, 3B.Vaikundaselvan, 4G.Jegan
Taking photos under dim lighting conditions using a hand-held camera is very challenging. If the camera is set to a large exposure time, the image is blurred due to camera shake. On the other hand, if it is taken with a short exposure time, the image is dark and noisy. Various approaches try to remove image blur due to camera shake, either with one or multiple input images. Blur introduced in an image from camera shake is mostly due to the 3D rotation of the camera. This results in a blur kernel which is non-uniform throughout the image. In this method a new algorithm is proposed which do not estimate the blur kernel instead use an align and average like technique. Burst images are considered because each image in the burst is blurred differently. The proposed algorithm performs a weighted average, for the burst images, in the Fourier domain, with weights depending on the Fourier spectrum magnitude. Rationale is that camera shake has a random nature, and therefore, each image in the burst is generally blurred differently. First, the burst of images are registered. Then, for that image correspondences are considered to estimate the dominant homograph relating every image of the burst and a reference image (the first one in the burst).Image correspondences are found using SURF algorithm. Then, Fourier Burst Accumulation is done channel by channel using the same Fourier weights for all channels. Then a noise removal is done using NLMEANS denoising algorithm and finally, a Gaussian sharpening is done on the filtered image. To avoid removing fine details, a percentage of what has been removed during the denoising step is added back finally. Experiments with real camera data show that the proposed burst accumulation algorithm achieves faster and better results.
Keywords : Deblurring,SURF algorithm, Burst registration,NLMeans Denoising
 O.Whyte, J. Sivic, A. Zisserman, and J. Ponce, Non-uniform deblurring for shaken images,” Int. J. Comput. Vis., vol. 98, no. 2, pp. 168–186, 2012.  T. Buades, Y. Lou, J.-M. Morel, and Z. Tang, A note on multi-image denoising,” in Proc. Int. Workshop Local Non-Local Approx. Image Process. (LNLA), Aug. 2009, pp. 1–15.  H. Zhang, D. Wipf, and Y. Zhang,Multi-image blind deblurring using a coupled adaptive sparse prior, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2013, pp. 1051–1058.  Boracchi and A. Foi, Modeling the performance of image restoration from motion blur, IEEE Trans. Image Process., vol. 21, no. 8,pp. 3502–3517, Aug. 2012.  B. Zitová and J. Flusser, Image registration methods: A survey, Image Vis. Comput. vol. 21, no. 11, pp. 977–1000, 2003.  M. Lebrun, A. Buades, and J.-M. Morel, Implementation of the‘non-local Bayes’ (NL-Bayes) image denoising algorithm Image Process. Line, vol. 3, pp. 1–42, Jul. 2013.  A. Rav-Acha and S. Peleg, Two motion-blurred images are better than one,Pattern Recognit. Lett., vol. 26, no. 3, pp. 311–317, 2005.  R. Fergus, B. Singh, A. Hertzmann, S. T. Roweis, and W. T. Freeman,Removing camera shake from a single photograph, ACM Trans. Graph., vol. 25, no. 3, pp. 787–794, 2006.  L. Yuan, J. Sun, L. Quan, and H.-Y. Shum, Image deblurring with blurred/noisy image pairs, ACM Trans. Graph., vol. 26, no. 3, 2007, Art. ID 1.  Q. Shan, J. Jia, and A. Agarwala, High-quality motion deblurring froma single image, ACM Trans. Graph., vol. 27, no. 3, 2008, Art. ID 73.  S. Cho and S. Lee, Fast motion deblurring ACM Trans. Graph.,vol. 28, no. 5, 2009, Art. ID 145.  X. Zhu, F. Šroubek, and P. Milanfar, Deconvolving PSFs for a better motion deblurring using multiple images, in Proc. IEEE 12th Eur. Conf. Comput. Vis. (ECCV), Oct. 2012, pp. 636–647.  F. Sroubek and P. Milanfar Robust multichannel blind deconvolution via fast alternating minimization, IEEE Trans. Image Process., vol. 21, no. 4, pp. 1687–1700, Apr. 2012.  H. Zhang, D. Wipf, and Y. Zhang, Multi-image blind deblurring using a coupled adaptive sparse prior}, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2013, pp. 1051–1058.  L. Xu, S. Zheng, and J. Jia,Unnatural L0 sparse representation for natural image deblurring, in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2013, pp. 1107–1114.  A. Ito, A. C. Sankaranarayanan, A. Veeraraghavan, and R. G. Baraniuk, Blurburst: Removing blur due to camera shake using multiple images,ACM Trans. Graph., to be published.  Mauricio Delbracio and Guillermo Sapiro, Removing Camera Shake via Weighted Fourier Burst Accumulation, IEEE Tans.on Image Processing, VOL. 24, NO. 11, November 2015 3293.  A. Ito, A. C. Sankaranarayanan, A. Veeraraghavan, and R. G. Baraniuk, \Blurburst: Removing blur due to camera shake using multiple images",ACM Trans. Graph., to be published.  Mauricio Delbracio and Guillermo Sapiro, \Removing Camera Shake via Weighted Fourier Burst Accumulation", IEEE Tans.on Image Processing, VOL. 24, NO. 11, November 2015 3293  Jacob Toft Pedersen \Study group SURF: Feature detection and description", Image Process. Line, vol. 24, No.12, Dec. 2015.Department.
The retina is a dainty layer of tissue that lines the back of the eye within. It is situated close to the optic nerve. The reason for the retina is to get light that the focal point has centered, change over the light into neural flags, and send these signs on to the cerebrum for visual acknowledgment. The retina forms a photo from the engaged light, and the mind is left to choose what the photo is. Since the retina assumes crucial part in vision, harm to it can likewise bring about issues, for example, perpetual visual impairment. So we have to see if a retina is healthy or not for the early discovery of retinal sicknesses. Scanning laser ophthalmoscopes (SLOs) can be used for this purpose. The most recent screening innovation, gives the upside of utilizing SLO with its wide ﬁeld of view, which can picture a vast part of the retina for better finding of the retinal ailments. On the opposite side, the artefacts, for example, eyelashes and eyelids are additionally imaged alongside the retinal zone, amid the imaging procedure. This delivers a major test on the best way to exclude these artefacts. The current systems has disadvantage that should be engaged. The proposed methodology includes feature extraction and feature matching techniques and construction of classifier to finally detect the retinal area and classifying the retina whether it’s healthy or not. The survey presents different techniques that are used to segment the artefacts and detect those artefacts.
Keywords : Feature selection, retinal artefacts extraction, retinal image analysis, scanning laser ophthalmoscope (SLO).
 Amit Madhukar Wagh , “Eyelids, Eyelashes Detection Algorithm and Hough Transform Method for Noise Removal in Iris Recognition ”, Biomedical Signal Processing and Control 25 (2016) 108117.  M.J.Aligholizadeh,S.Javadi,R.S.Nadooshan, and K.Kangarloo, “Eyelid and eye lash segmentation based on wavelet transform for iris recognition”, in Proc.4thInt.Congr.ImageSignalProcess. 2011, pp.12311235.  A.V.Mire and B.L.Dhote, “Iris Recognition System with Accurate Eyelash Segmentation Improved FAR, FRR using textural Topological Features”, IEEE Trans.Med. Imaging, vol. 7, pp. 09758887, 2010.  D. Zhang, D. Monro, and S. Rakshit, “Eyelash removal method for human iris recognition”,in Proc. IEEE Int. Conf. Image Process., 2006, pp. 285288.  J. Xu, O. Chutatape, P. Chew, “Human Iris Segmentation for Iris Recognition in Unconstrained Environments ”, nternational Journal of Computer Science Issues Vol. 9, Issue 1, No 3, January 2012 473482.  Y.-H.Li,M.Savvides,and T.Chen, “Investigating useful and distinguishing features around the eyelash region”,in Proc. 37th IEEE Workshop Appl. Imag. Pattern Recog. 2008, pp. 16.  H. Yu, C. Agurto, S. Barriga, S. C. Nemeth, P. Soliz, and G. Zamora “Automated image quality evaluation of retinal fundus photographs in diabetic retinopathy screening”, Proc. IEEE Southwest Symp. Image Anal. Interpretation, 2012, pp. 125128.  J. A. M. P. Dias, C. M. Oliveira, and L. A. d. S. Cruz“Retinal image quality assessment using generic image quality indicators”, IEEE Trans. Inf. Technol.Biomed. 16 (4) (2012) 644657.  Suraya Mohammad, et al., “Texture analysis for the segmentation of optic disc inretinal images”, in: IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2013, pp. 42654270.  R.Pires, H.Jelinek,J.Wainer ,and A.Rocha., “Retinal image quality analysis for automatic diabetic retinopathy detection”, in: IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2013, pp. 42654270.
Speculation is the vocation of the assets on resources with the point of acquiring salary or capital appreciation. Venture has two characteristics in particular time and hazard. During the time spent speculation, the present utilization is scarified to get returns later on. The penance that must be home is sure yet later on might be dubious. So shared assets are one of the most ideal approaches to contribute with a lower hazard. The study includes the information investigation of the top assets in India whose execution is broke down to choose the right decision of venture.
Keywords : Sensex, BSE, NSE, Net asset value, risk, return
 Treynor, jack. L and Mazuy,kay.k. “Can Mutual Funds Outguess the Markets”, Harvard Business Review, 44:11-136,.1996.  Gupta,.Manak C (1974), “The Mutual Fund Industry and its comparative Performance”, Journal of Financial and Quantitative Analysis, 6:894.  Henriksson,.Roy L., and Merton, Robert C., “On Market Timing and Investment performance II: Statistical Procedures for Evaluating Forecasting. Skills”, Journal of Business, 4:513-533, 1981.  Lee, C.F, and Rahman, “Market. Timing, Selectivity and Mutual Fund. Performance: An Empirical. Investigation”, Journal of Business, Vol.63, p.26-27, 1990.
Automatic recognition of cardiac arrhythmias is important for diagnosis of cardiac abnormalities. Detection of various abnormalities in the heart to identify various heart diseases can be made through an Adaptive Neuro-Fuzzy Inference System (ANFIS) preprocessed by subtractive clustering. Some recordings of the MIT-BIH database has been used for training and testing our neural network based classifier. Six types of heartbeats are classified: normal sinus rhythm, premature ventricular contraction (PVC), atrial premature contraction (APC), left bundle branch block (LBBB), right bundle branch block (RBBB), and paced beats. Our goal is to detect important characteristics of an ECG signal to determine if the heartbeat is normal or irregular. Therefore, in this paper, an expert system for Electrocardiogram (ECG) classification is analyzed. DWT is used in preprocessing for filtering ECG recordings, and extraction of some features performs the classification task.
Keywords : ANFIS, Arrhythmias, ECG , MIT-BIH, Subtractive clustering
 N. Maglaveras, T. Stamkapoulos, K. Diamantaras, C. Pappas, M. Strintzis, “ECG pattern recognition and classification using non-linear transformations and neural networks: A review”, Int. J. Med. Inform. 52 (1998) 191–208.  S. Osowski, T.H. Linh, “ECG beat recognition using fuzzy hybrid neural network”, IEEE Trans. Biomed. Eng. 48 (2001) 1265–1271.  Chikh A., M., Ammar, M., Marouf, & Radja, M. (2010, April 5). A Neuro-Fuzzy Identification of ECG Beats. Tlemcen, Algeria.  Minas, J. S. Martins, J. H. Correia, High-Selectivity Optical Detection in Microfluidic Systems for Clinical Diagnostics, Journal of Sensors and Materials, pp.77-89, Japan, 2002.  R. Acharya, P. S. Bhat, S. S. Iyengar, A. Roo and S. Dua, (2002) “Classification of heart rate data using artificial neural network and fuzzy equivalence relation”, The Journal of the Pattern Recognition Society, vol. 130, pp. 101–108.  S. Osowski, T.H. Linh, (2001) “ECG beat recognition using fuzzy hybrid neural network”, IEEE Trans. Biomed. Eng., Vol. 48, pp. 1265-1271.  L. Shyu, W. Hu, (2008) “Intelligent Hybrid Methods for ECG Classification-A Review,” Journal of Medical and Biological Eng., Vol. 28, pp.1-10.  (2006) Digital signal processing toolbox user’s guide for use with MATLAB7.  GB, M., RG, M., Database, T. i.-B., & 11446209), 4.-5. (.-J. (n.d.). Retrieved July 2014, from - http://www.physionet.org/physiobank/database/mitdb/  Pan, J., & Tompkins J, W. (1985). A Real-Time QRS Detection Algorithm. IEEE Transactions of Biomedical Engineering, VOL. BME-32, NO. 3.  Editors: Witold Pedrycz, A. (2012). ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence. New York City: Springer-Verlag London Limited2012.
There is a wide consensus that the Internet has greatly distended possibilities for conventional transit crimes much as wildlife trade. Ineligible wildlife dealings is gaining hit on the Cyberspace, as evidenced by the prospering popularity of the Internet and the burgeoning symbol of websites where wildlife artefact are offered, of times with understandably venture origins. In this paper demonstrates the conceivable outcomes offered by a wrongdoing script approach for understanding what sort of criminal open doors the Internet offers for directing untamed life trafficking and how these open doors influence the association of this travel wrongdoing, as concerns both the doing of the criminal movement and the examples of relations in and among criminal systems. It highlights how Internet-intervened natural life trafficking is a half and half market that consolidates the customary social and monetary open door structure with that gave by the Internet.
Keywords : Wildlife, Internet Organized crime, Transit crime, Criminal opportunities, Internet
 Brenner SW: Organized cybercrime? How cyberspace may affect the structure of criminal relationships. North Carolina Journal of Law and Technology 2002, 4(1):1–50.  Bullock K, Clarke RV, Tilley N: Introduction. In Situational Prevention of Organised Crimes. Edited by: Bullock K, Clarke RV, Tilley N. Willan Publishing, Devon; 2010:1–16.  Chiu YN, Leclerc B, Townsley M: Crime script analysis of drug manufacturing in clandestine laboratories. British Journal of Criminology 2011, 51(2):355–374. 10.1093/bjc/azr005  Cook D, Roberts M, Lowther J: The International Wildlife Trade and Organised Crime. A review of the evidence and the role of the UK. Regional Research Institute, University of Wolverhampton. WWF, Report, Woking, UK; 2002.  www.ifaw.org  Collectors and Traders. A Study of Orang Asli Involvement in Wildlife Trade in the Belum-Temengor Complex, Perak  Centre for Malaysian Indigenous Studies, University of Malaya, Kuala Lumpur, Malaysia (2011)  Barber-Meyer, 2010 :Dealing with the clandestine nature of wildlife-trade market surveys  Ekblom P, Sidebottom A: What do you mean, “Is it secure?” Redesigning language to be fit for the task of assessing the security of domestic and personal electronic goods. European Journal on Criminal Policy and Research 2008, 14: 61–87. 10.1007/s10610-007-9041-8  IFAW. Caught in the Web: Wildlife trade on the Internet. International Fund for Animal Welfare, Report, London; 2005.  “IFAW and INTERPOL at the Front Lines of the War on Ivory and Wildlife Trafficking” (Press release May 22, 2013), IFAW, accessed December 23, 2013  “Wildlife Crime: Written evidence submitted by INTERPOL”, INTERPOL, accessed December 23, 2013,  Lavorgna, A. Crime Sci (2014) 3: 5. doi:10.1186/s40163-014-0005-2  www.traffic.org  www.animalplanet.com
Foreground-Background Separation from video clips using RMAMR method along with ground truth extraction plays a great role in video surveillance systems. The method proves to be a fully and important technique, making recognition, classification, and scene analysis more efficient. Initially ground truth images are extracted for the given video. A motion-assisted matrix restoration (MAMR) model for foreground background separation in video clips is proposed. In the proposed MAMR model, the backgrounds across frames are modeled by a low-rank matrix, while the foreground objects are modeled by a sparse matrix. To facilitate efficient foreground background separation, a dense motion field is estimated for each frame, and mapped into a weighting matrix which indicates the likelihood that each pixel belongs to the background. Anchor frames are selected in the dense motion estimation to overcome the difficulty of detecting slowly moving objects and camouflages. A robust MAMR model (RMAMR) is proposed against noise for practical applications. Experiment shows that the proposed methodology affirms a good performance in separation of foreground and background from video clips.
Keywords : Background subtraction, Foreground Detection, ADM ,Motion Detection, Ground truth extraction
 C. R. Wren, A. Azarbayejani, T. Darrell, and A. P. Pentland, “Pfinder: Real-time tracking of the human body", in IEEE Trans. Pattern Anal. Mach. Intell., Jul. 1997  L.Li, W.Huang, I.Gu, and Q.Tian, “Foreground Object Detection from Videos Containing Complex Background ", ACM 2003.  Jing Zhong, Stan Sclarofi , “Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter", in Proc. IEEE, 2003  S. Derin Babacan, Martin Luessi and RafaelMolina, “Sparse Bayesian Methods for Low-Rank Matrix Estimation", in Proc. IEEE , Jun2012.  Zoran Zivkovic,”Improved Adaptive Gaussian Mixture Model for Background Subtraction" ICPR, Aug. 2004.  Martin Hofmann, Philipp Tiefenbacher, Gerhard Rigoll, “Background Segmentation with Feedback: The Pixel-Based Adaptive Segmenter ", in Proc. IEEE Int. , Jan. 2012,pp. 21532160.  Olivier Barnich and Marc Van Droogenbroeck, “ ViBe: A Universal Background Subtraction Algorithm for Video Sequences ", in Proc. IEEE, 2011.  Candles, Xiaodong Li, Yi Ma, and John Wright, “Robust Principal Component Analysis", ACM, 2011.  Lucia Maddalena and Alfredo Petrosino, ”A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications", IEEE Trans., Jul. 2008.  Xiaowei Zhou, Can Yang and W Yu, “GoDec: Randomized Low-rank and Sparse Matrix Decomposition in Noisy Case", International Conference on Machine Learning, 2011.  Xinchen Ye, Jingyu Yang,Xin Sun, Kun Li, “Foreground Background Separation From Video Clips via Motion-Assisted Matrix Restoration", in Proc. IEEE , 2015, pp.25772580.
The primary aim of the study was to assess few impacts on River water quality of Mass gathering and taking a holy dip during Maha Kumbhmela from 22 april 2016 to 21 may 2016 in Ujjain City and to make a comparison of few parameter to standard Stipulated by Central Pollution control Board (CPCB), New Delhi during the Mela Days. River water samples were collected from four sites Mangalnath Ghat, Triveni Ghat, Lalpul Ghat, and Narsingh Ghat and were analysis for a few Chemical and biological Parameters such as BOD and pH. During the Mass Bathing two ghats were found to be more affected than the other two ghats. These were noted to Mangalnath and Narsingh ghat in Ujjain during Mahakumbh at these sites parameter are observed to be more polluted in comparison to other two sites Lalpul ghat and triveni ghat. The water quality was reported to be of very bad status. As per Central pollution control board (CPCB) norms water was found to be of D class and was not fit for drinking, bathing. Several cases of water born diseases like typhoid, skin, eye, ear, and urinary tract infections were reported from local and nearby city hospitals immediately after mass bath especially in summer.
Keywords : Mass bathing, Water quality, chemical and Biological parameters, kshipra river
 D.R. Khanna, R. Bhultiani, Bharti Tyagi, Prashant Kumar Tyagi and Mukesh Ruhela ”Assessement of water quality of river Ganges during Kumbh mela 2010” ISSN 0972-3099, 2278-5124  prof.P.M. pathak, Dipesh Jain, Khandelwal Rahul, Mantri Shravan, Shah Apurv, Shete pranita “Analysis of water Quality of River Godavari during Kumbhmela 2015”ISSN: 2320-8163  Saurabh Shukla, Smriti Gupta, “Assessment of few impacts of mass bathing on river water quality at prayag during Maha Kumbh Mela 2013, Allahabad” eISSN:2319-1163, Pissn: 2321-7308  Naveen Kumar Arora, Sakshi Tewari and Sachin Singh “Analysis of water quality parameters of river ganga during Maha Kumbha, Haridwar,India. ISSN:0254-8704  Sharma Shraddha, Vishwakarma Rakesh, Dixit Savita and Jain Praveen “Evaluation of water quality of Narmada River with Reference to Physico-chemical parameter at Hoshangabad City, MP,India. ISSN 2231-606X  Shivi Bhasin, Arvind N. Shukla and Sharad Shrivastava (2015) “Deterioration in water quality of river Kshipra at Ramghat, during mass bath, Ujjain. M.P. ,India” ISSN:0976-8602  Rakesh Bhutani and Dr. Prashant Tyagi(2012) “Assessmentof water quality of river Ganges during Kumbhmela 2010”  D.R.Khanna, R.Bhutiani Bharti Tyagi, Prashant kumar Tyagi, Mukesh Ruhela,(2012), “Assessment of water quality of River Ganges During Kumbha Mela 2010”. Environment conservation journal 13(3) p.p.165-169  Basant Rai (2013) “Pollution and Conservation of Ganga river in modern india” ISSN:2250-3153  Bihar state Disaster Management authority. Mass Gathering event management. A case study of MahaKumbh, 2013, Allahabad  Arora N.K., Tewari, s., Anaysis of water quality Parameter of River Ganga during Maha Kumbha, Haridwar,India. Journal of Environmental Biology, 34,799-803
The water of Robertson Lake is suffering from severe contamination which is due to heavy discharge of pollutants without adequate treatment to remove harmful compounds. This is leading to the damaging effects not only to the individual species and population but also to natural biological community. The present work highlights the water quality index of Robertson Lake of Jabalpur. Water Quality Index (WQI) using remote sensing was applied in Robertson Lake India using water quality parameters like Temperature, Chloride, Hardness, Alkalinity, pH, Conductivity, Total Dissolved Solids (TDS), Fluoride, Iron, Turbidity, Dissolved Oxygen (DO) and Biochemical Oxygen Demand (BOD). The analysis reveals that Robertson Lake needs some treatment before consumption.
Keywords : Physico-chemical parameters, Water Quality Index, Remote sensing and remedies
 Joyanta pal, Dr. Manish Pal, Dr.Pankaj Kr. Roy and Dr. Asis Mazumdar. Water Quality Index for Assessment of Rudrasagar Lake Ecosystem, India. January 2016, pp.98-101  Bhaven N. Tandel, Dr. JEM Macwan, and Chirag K. Soni. Assessment of Water Quality Index of Small Lake in South Gujarat Region, India  F.J. Thakor, D.K. Bho, H.R. Dabh, S.N. Pandya and Nikitraj B. Chauhan. Water Quality Index (W.Q.I.) of Pariyej Lake Dist. Kheda – Gujarat. Current World Environment Vol. 6(2), 225-231 (2011)  Ground water in Koilwar block of Bhojpur (Bihar). Neerja Kalra et al J. Chem. Pharm. Res., 2012, 4(3):1783  Er. Srikanth Satish Kumar Darapu, Er. B. Sudhakar, Dr. K. Siva Rama Krishna, Dr. P. Vasudeva Rao Dr. M. Chandra Sekhar. Determining Water Quality Index for the Evaluation of Water Quality of River Godavari. ISSN: 2248-9622 Vol. 1, Issue 2, pp.174-182  APHA Standard methods for examination of water and waste water. 21st Edn. Washington D.C. (2005).  BIS Analysis of water and waste water Bureau of Indian Standards, New Delhi (1993).  BIS Standards of water for drinking and other purposes Bureau of Indian Standards, New Delhi. (1993).  Gupta B. K. and G. Singh. Damodar river water quality status along Dugda – Sindri industrial belt of Jharia coalfield, in: Pollution and Biomonitoring of Indian Rivers, ABD Publication, JMaipur, 58 – 69 (2000)  WHO. International Standards for Drinking Water. World Health Organization, Geneva, Switzerland (1992)  BIS (Bureau of Indian Standards) 10500, Indian standard drinking water specification First revision, 1991, pp 1-8ssss.
With the rapid aging of population and more attention about our health, it’s more important to do the physical examination every day, especially for old people. But India is dealing more with this problem. However, as we all know, it’s very difficult to have a physical examination in hospital, waiting for half a day is not only a waste of time, but also a challenge to weak ones. So we can use this system, which can collect kinds of physiological signal and convey it using internet, including ECG and temperature, Pulse rate, GPS location. ARM-7 is used in this project; it is real industry-specific processor, with high Performance, small space, low power, can suit most embedded applications. The people in India, particularly in rural and remote areas, are found struggling to receive timely medical treatment. The region of the country is characterized by densely populated communities spread over vast distances and there is a lack of expert physicians in certain sectors of the health service. Telemedicine originally emerged to serve rural populations or anyone who is geographically dispersed, where time and cost of travel make it difficult to receive the best medical care. Nowadays, telemedicine is forming a new structure in health-care services. By using information and communication technologies, in the proposed home based health monitoring system using ARM-7 includes the aspects of acquisition of medical parameters like Body temperature, Pulse rate and ECG. Processing of a collected data using ARM-7(LPC2148) processer and processed data is then displayed on doctors or relatives android mobile phones. Also the data can be displayed on LCD Display. The system is utilizing a low cost component to transmit data like ECG to physician for monitoring; diagnosis and patients care at significantly low cost, regardless of patient’s location.
Keywords : Body Temperature, Pulse Rate, ECG, GSM Modem, Android Smartphone
 Dennis Harman, Ennamel kobina payme, “Telemedicine SMS-based ECG monitoring system”, International Journal of Scientific and Research Publications, Vol-5, Issue-11, Nov-2015.  Padmashree T, Dr.N.K. Cauvery,Smita G.R, “Advanced wireless telemedicine application using embedded sensor and android OS”, International Journal Of Advanced Research in Computer Engineering and Technology, Vol-4,Issue-8,Aug-2015.  Amol Pawar, P.P. Belgali, “Implementation of GSM based real time patient monitoring system”, International Journal of Innovative Research in Science, Engineering & Technology, Vol-4, Issue-8, Aug-2015.  Abirami K abinaya,S.Sinduja, N.Sudanthira Vanita, “Automatic Patient care system using Arm-processor”, International Journal of Scientific Research and Development,Vol-3,Issue-1,2015.  Chandrasekharao P, B.Sudhakararao,”Smart design of tele-health monitoring system”, International Journal of Advent Research in Computer and Electronics,Vol-2,Issue-1, Jan-2015.  Gunalam M.C, Satheesh A, “Implementation of wireless patient body monitoring system using RTOS”, International Journal of Research and General Science, Vol-2, Issue-6,Nov-2014.  K.N.Patil, P.C. Bhaskar,”Transmission of Arm based real time ECG for monitoring remotely located patient”, International Journal of Research in Engineering and Technology, Vol-3,Issue-4,Apr-2014.  Deep Modi,Priyank Shah,”Review on development of patient monitoring system”, International Journal of Engineering Development and Research,Vol-2,Issue-1,2014.  Juney M. George,Venugopal G.”Design of embedded platform for patient monitoring applications using μC/OS-II” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering”,Vol-2,Issue-1,Dec-2013.  Othman O. Khalifa,T.A.Khan, H.M.Hazza,”Development of wearable pulse oximetry for tele-health monitoring system”, Journal of Electrical Engineering ,2014.  P.S.Kurhe, S.S. Agrawal,”Real time tracking and health monitoring system of remote soldier using Arm-7”, International Journal of Engineering Trends & Technology, Vol-4, Issue-3,2013.  Chaudhari, Mr Prafulla P., Mr Dhiraj G. Agrawal, and Mr Mandar M. Kulkarni. "An Application of Embedded System in Telemedicine Using Arm-7."  Rubina A. Shaikh,”Real time health monitoring system of remote patient using Arm-7”,International Journal of Instrumentation, Control and Automation, Vol-1,Issue-3,2012  Mimouni, Hussain,Karim Mohammad,”Design and implementation of an embedded system for ambulatory cardiac monitoring”, Journal of Telecommunication and Information Technology,Vol-1,2012.  P.M.Butala, Y.Zhang, Thomas D.C, “Wireless system for monitoring and real time classification of functional activity”,978-1-4673-0298,IEEE,2012.  Yan Liping,Song Kai,”Design of Arm-based telemedicine consultation system”,978-1-4244-01,Vol-1,IEEE,2010.  Asharaf A. Tahat,”Body temperature and electrocardiogram monitoring using SMS based telemedicine system”,978-1-4244-2966,Vol-1,IEEE,2009.  Ya-lin Miao, Xiang-lin Miao, Zheng-Zhong Bian , Yong-jie Zhang. “Design and Application of Embedded System Based on ARM7 LPC2104 Processor in Telemedicine”. Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005.  Wang Ping, Wang Jin-gang, Shi Xiao-bo, He Wei. “The Research of Telemedicine System Based on Embedded Computer”. Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005.
Barium Hex ferrite (BaFe12O19 ) is widely used in recording media and as permanent magnets. The Fe ion is partially substituted by Co-Sn and Zn-Sn to get BaFe10.4Co+2.8Sn+4.8O19 and BaFe10.4Zn+2.8Sn+4.8O19 which are prepared by solid state diffusion method. Several possible site distributions and an electron transfer may occur. The identification of the compounds is done by X-ray diffraction. They are found to have single phase magnetoplumbite structure. Electrical properties are studied and electrical conductivity study shows that Cobalt substituted compound has more electrical conductivity than Zinc substituted compound. The activation energies of both the compounds are also calculated. The activation energy of Cobalt substituted compound is less than that of zinc substituted compound. Also conductivity increases with rise in temperature which shows semiconducting nature of the newly synthesized samples.
Keywords : Magnetoplumbite, BaFe10.4Co+2.8Sn+4.8O19, BaFe10.4Zn+2.8Sn+4.8O19, Electrical Conductivity, Activation Energy
 Kittele C. Introduction to solid state physics.  M. Ahmad, F. Aen,, A. Islam, S. Niazi, M. Rana, (2011). Structural, physical magnetic and electrical properties of La- substituted W type hexagonal ferrites. Ceramics International 37, 3691-3696.  J. Dho, E. Lee, J. Park, N . Hur, (2005). Effects of the grain boundary on the coercivity of barium ferrite BaFe 12O19 . Journal of Magnetism and Magnetic Materials 285, 164-168.  C. Dube, S. Kashyap, D. Pandya, D. Dube, (2009). Dielectric and magnetic properties of ZnTi substituted M-type barium hexaferrite. Physics Status Solidi A 206, 2627-2631.  Vaishali Soman, M. D. Mehare (2016). Structural and Electrical Properties of Co-Sn substituted BaFe12O19. , 6, 01-03  Y. Liu, M. Drew, Y. Liu, J. Wang, M. Zhang, (2010). Preparation, characterization and magnetic properties of the doped barium hexaferrites BaFe 12-2x Co x/2 Zn x/2 SnxO19 , x = 0.0-2.0. Journal of Magnetism and Magnetic Materials 322, 814-818.  K. Mallick, P. Shepherd, R. Green, (2007). Dielectric properties of M-type barium hexaferrite prepared by co-precipitation. Journal of European Ceramic Society 27, 2045-2052.  U. Topal, H. Ozkan, H. Sozeri, (2004). Synthesis and characterization of Nano crystalline BaFe12O19 obtained at 850 °C by using ammonium nitrate melt. Journal of magnetism and magnetic materials 284, 416-422.  K. Wagner, 1913. Ann. Phys. (Leipzig) 40, 817.