Multimedia content protection has become one of the most important and interesting research area. We present a multimedia content protection by utilizing both biometric and digital watermarking. The finger print, face and signature biometric feature of the owner is used to generate the watermark. We include these three different water mark on the host image by partitioning row wise or column wise and then embedding the watermark on it. Our scheme includes 2-D Single Level Discrete Hear Wavelet transform for image compression and Single value decomposition for embedding and extraction of the watermarks. Sometime any ownership dispute on the host image, the watermark i.e., the fingerprint, face and signature is extracted from the watermarked image and related to the biometrics of person claiming the ownership. If they match, the claiming person is the real owner of the host image.

Keywords: Digital Water marking, Biometrics, Digital Right Management[DRM], Single Level Discrete Haar Wavelet Transform[DWT], Singular value decomposition[SVD].

[1]. F. Hartung and M. Kutter, (1999). Multimedia water marking Techniques.Proc. IEEE, Vol 87, No.7, July, pp.1079-1107.
[2]. Fred Von Lohmann. (2005). Fair use and Digital Right Managements: Preliminary thought on the (Irreconcilable?) Tension between them.Proc. Of Electronic Frontier Foundation. March.
[3]. Scott Carver, Stefan Katsenbeizer. (2001).Copyright protection protocol based on asymmetric watermarking: The ticket concept.Communication and Multimedia Security issue of new century, pp.159-170.
[4]. E.T. Lin, A.M. Eskicioglu, E.J. Delp. (2005). Advances in digital video content protection.IEEE: Special issue on Advances in video coding and delivery, pp.171-183.
[5]. Ian Kerr. (2007). Hacking @privacy: Why we need protection from technologies that protect copyright. Proc. Conference of privacy.

With the integration of smart sensor technology, wireless communications paves way for better and challenging applications like environment monitoring of difficult terrains, gathering of widely varying oceanographic data, search and rescue missions especially under water.Underwater communication is a trending field of interest and approaches are under development for achieving low power consumption, compact size and better range. Use of optical waves for underwater communication is an effective approach for secured communication at faster data transfer rates. The paper deals with the implementation of a Li-Fi based module for underwater communication. The system is designed and implemented on the principle of transmission through LED array and reception using a solar panel. The experimental observations analyze the distance versus power relationship for the transfer of textual data. The data transfer is found to be applicable for underwater communication.

Keywords: Li-Fi, LED, Solar Panel, Underwater Communication.

[1]. H. Kaushal and G. Kaddoum, "Underwater optical wireless communication," IEEE Access, vol. 4, no. 4, pp. 1518–1547,Apr. 2014.
[2]. William Charles Cox Jr. Simulation, Modeling, and Design of Underwater Optical Communication Systems. PhD thesis, North Carolina State University, 2012.
[3]. S. J. Tang, Y. H. Dong, and X. D. Zhang, "Impulse response modeling for underwater wireless optical communication links" IEEE Trans. Commun., vol. 62, no. 1, pp. 882–891, Jan. 2014.
[4]. F. Akhoundi, J. A. Salehi, and A. Tashakori, "Cellular underwater wireless optical CDMA network: Performance analysis and implementation concepts" IEEE Trans. Commun., vol. 63, no. 3, pp. 882–891, Mar. 2015.
[5]. Felix Stephan Schill. Distributed Communication in Swarms of Autonomous Underwater Vehicles. PhD thesis, The Australian National University, 2007.

Heat exchangers are one of the most important heat transfer apparatus that find its use in industries like oil refining, chemical engineering, electric power generation etc. Plate type of heat exchangers has been commonly and most effectively used in Industries over the years. Plate heat exchangers are used regularly in the heating, ventilating, air conditioning, and refrigeration industry. There is an urgent need for detailed and systematic research regarding heat transfer and the fluid flow characteristics of these types of exchangers. As an initiative in this respect, a literature search is presented on plate heat exchangers. New correlations for evaporation heat transfer coefficient and friction factor are introduced, which are applicable to various system pressure conditions and plate chevron angles. This review paper presents the work of various researchers on the heat transfer enhancement of plate type heat exchanger.

Keywords: Heat transfer, Plate heat exchanger, Design.

[1] S.M. Pesteei, P.M.V. Subbarao, R.S. Agarwal, Experimental study of the effect of winglet location on heat transfer enhancement and pressure drop in fin-tube heat exchangers. Applied Thermal Engineering 25 (2005) 1684–1696
[2] Ya-Ling He, Pan Chu, Wen-Quan Tao, Yu-Wen Zhang, Tao Xie, Analysis of heat transfer and pressure drop for fin-and-tube heat exchangers with rectangular winglet-type vortex generators. Applied Thermal Engineering 61 (2013) 770-783
[3] C.B. Allison, B.B. Dally, Effect of a delta-winglet vortex pair on the performance of a tube–fin heat exchanger. International Journal of Heat and Mass Transfer 50 (2007) 5065–5072
[4] M.C. Gentry, A.M. Jacobi, Heat transfer enhancement by delta-wing vortex generators on a flat plate: vortex interactions with the boundary layer, Exp. Thermal Fluid Sci. 14 (1997) 231–242.
[5] Y.L. He, H. Han, W.Q. Tao and Y.W. Zhang. Numerical analysis of heat-transfer enhancement by punched winglet type vortex generator arrays in fin and tube heat exchanger. International Journal of Heat and Mass Transfer. 55 (2012)5449-5458.

Internet is huge source of data and information and every one depends on it for attaining each type of knowledge. With the existence of large data and variety of information it becomes difficult for end user to extract required information. Therefore there comes the necessity to personalize each user search in order to obtain selected and relevant result. This paper is an extension to current personalized search model being used in search engine for increasing the efficiency of search engine and to provide user with more relevant and desired results. The proposed search model distinguishes each user search by uniquely identifying each user, providing fast and efficient results. It is compared with existing technology in search engine. Experimental test conducted on the user browsing indicate that the proposed scheme efficiently improves the search results with minimal structural changes. The proposed design is more useful where more than one user access single device for searching. The system provides user friendly behavior as searching will now an easy task. The results will be more accurate as well as secure. Therefore the system acts as an improvement in the area of web mining.

Keywords: Explicit,Implicit,Page ranking, Personalization, Web Search log

[1]. C. Brandt , T. Joachims, Y. Yue, J. Bank ,Dynamic Ranked Retrieval,Proc.4th ACM Conf. on Web search and data mining,Hong Kong, China ,2011.
[2]. S. Lawless S, V. Wade, D. Zhou, Improving Search via Personalized Query Expansion using Social Media. Information Retrieval For Social media, Springer,15(3),2012,218-242.
[3]. P. N. Bennett,S. T.Dumais, J. Y. Kim JY, Thompson KC, Characterizing Web Content, User Interests, and Search Behavior by Reading Level and Topic,WSDM'11 ACM, 2012, 9–12.
[4]. F. Abel, Q. Gao, G. J.Houben, K. Tao, Semantic Enrichment of Twitter Posts for User Profile Construction on the Social Web,ESWC'11, Vol. Part II, Springer2, 2011, 375-389.
[5]. C. Srinvas, Explicit User Profiles for Semantic web search using XML, IJERA, 2(6), 2012, 234-241.

Task scheduling system problem is a nucleus and demanding issue in Cloud Computing. The Cloud computing resources proficiently and gain the maximum profits with scheduling system is ultimate objective in the one of the Cloud computing service providers. In this paper, we have used credit based cluster travelling sales man problem to evaluate the entire group of task in the task queue and find the minimal completion time of all tasks. Here cost/time matrix has been generated as the fair tendency of a task to be assigned in resources. Her we apply Cloud computing is a latest new computing method of delivering technology to the consumer by using Internet servers for processing and data storage, while the client system uses the data.

Keywords : TSP, CTSP, Cloud computing, Lexi search Algorithm, Trip schedule.

[1]. Shalini Arora and Puri , M.C. "A variant of time minimizing assignment problem" European Journal of Operational Research 110, 314-325 (1998). [2]. Dong, J. Luo, L. Gao, and L. Ge, "A Grid Task Scheduling Algorithm Based on QoS Priority Grouping,"In the Proceedings of the Fifth International Conference on Grid and Cooperative Computing (GCC‟06), IEEE, (2006). [3]. Yair Amir, Baruch Awerbuch, Amnon Barak, R. Sean Borgstrom, Arie Keren, "An Opportunity Cost Approach for Job Assignment in a Scalable Computing Cluster", IEEE Transactions on Parallel and Distributed Systems , Vol. 11, No.7, July (2000).

[4]. Agarwal, A., Kumar, P.: Economical Duplication Based Task Scheduling for Heterogeneous and Homogeneous Computing Systems. In: Proceedings of the Advance Computing Conference, 2009 (IACC‟ 09), pp. 87-93, IEEE Computer Society (2009). [5]. Remzi H. Arpaci, Andrea C. Dusseau, Amin M. Vahdat, et al , "The Interaction of Parallel and Sequential Workloads on Network of Machines", Proc. of ACM SIGMETRICS/Performance Joint Internationa Conference on Measurement and Modeling of Computer Systems , pp. 267-278, May,(1995).

In current few years the statistical data expresses that Doubly-fed Induction Generator (DFIG) based wind turbine with variable pitch control and variable speed is mainly regular wind turbine in the growing wind souk. Because of the fluctuating behavior of wind power, a dynamic model of Solid Oxide Fuel Cell (SOFC) energy source is integrated with wind turbine for abrupt load changes to make sure reliable and competent operation of the power system. This research study deals with simulation of a wind turbine rooted in a doubly-fed induction machine hybrid with fuel cell energy system employed in generating mode to generate or produce electrical energy on a power network. In the middle of, a variety of renewable energy sources, fuel cell is getting more popularity because of their cleanliness, higher efficiency and cost-effective supply of power demanded by the customers.

Keywords- Solid Oxide Fuel Cell (SOFC), Doubly-fed Induction Generator (DFIG), Wind Energy Conversion System (WECS), Induction Machine (IM)

[1]. Dr.Ir. M. Van Dessel and Dr.Ir. G. Deconinck, "Power electronic grid connection of PM synchronous generator for wind turbines," IEEE Trans. 2008.
[2]. Pena R., Clare J. C., G. M. Asher, "Doubly fed induction generator using back-to-back PWM converters and its application to variable-speed wind-energy generation," IEEE Proc. Elect. Power Appl., vol. 143, no. 3, pp. 231-241, 1996.
[3]. I. Martinez De Alegria, J.L. Villate, J. Andreu , I. Gabiola, P. Ibañez,, "Grid connection of doubly fed induction generator wind turbines: a survey," UPV-EHU, Urkixo Zumarkalea, 48013 Bilbao, Spain, pp.1-6 Jan. 2010.
[4]. Khan M.J., Iqbal M.T. "Dynamic modeling and simulation of a small wind–fuel cell hybrid energy system" Renewable Energy 30 (2005) 421–439.
[5]. M. A. Abdel-Halim A. F. Almarshoud A. I. Alolah, "control of grid connected induction generator using naturally commutated ac voltage controller," IEEE Trans Canadian Conference., pp. 0839–0843, 2001.

Artificial Neural networks are a way to solve many types of non-linear problems that are difficult to be solved through traditional techniques. Back propagation algorithm using gradient descent method is the most important approach to train the neural networks. Back propagation algorithm suffers from several disadvantages like local minima problem, slow training, and scaling problem. This paper enlightens the problems of back propagation algorithm and the ways to solve these problems by hybridizing it with Genetic algorithms.

Keywords- ..............

[1]. Azadeh A., Ghaderi S. F., Tarverdian S. and Saberi F. , "Integration of ANN and GA to predict electrical energy consumption", Proc. 32nd IEEE Conference on Industrial Electron., IECON, Paris, France,vol. 7, no. 4 ,pp. 2552-2557,2006.
[2]. Farahat A.M. and Talaat M.," Short-Term Load Forecasting Using Curve Fitting Prediction Optimized by Genetic Algorithms", International Journal of Energy Engineering , vol. 2, no. 2, pp 23-28 ,2012.
[3]. Frank R. J., Davey N. and Hunt S. P., "Time Series Prediction and Neural Networks", Deptt. of Comp. Sci., University of Hertfordshire, Hatfield, UK,vol. 31,pp 91-103,2008.
[4]. Goldberg D. E., "Genetic Algorithms in Search, Optimization and Machine learning", ed. 3rd, published by Dorling Kindersley Pvt. Ltd. with Pearson Education Inc., pp. 120-125,2008.
[5]. Holland, J. H., "Adaptation in Natural and Artificial Systems", published by Univ. of Michigan Press. Ann Arbor, MA, 1975.

A theoretical investigation of thermal convection of an electrically non-conducting, incompressible MHD micropolar fluid layer heated from below in the presence of porous medium has been worked out . Using a linear stability analysis theory and normal mode analysis a dispersion relation is obtained for a flat fluid layer confined between two free boundaries. The influence of various parameters like medium permeability magnetic field, coupling parameter, micropolar heat conduction parameter and micropolar coefficient has been analyzed on the onset of stationary convection and results are depicted graphically. The principle of exchange of stability ( PES ) is found valid.

Keywords- Thermal Convection, Micropolar Fluid, Magnetic Field, Porous Medium.

[1]. A.B. Datta and V.U.K. Shastry, "Thermal instability of a horizontal layer of micropolar fluid heated from below", Int. J. Engg. Sci., vol. 14, pp. 631-637, (1976).
[2]. G. Ahmadi, "Stability of micropolar fluid layer heated from below," Int. Engg. Sci., vol. 14, pp. 81-89, (1976).
[3]. H. Bénard, Revue Generale des Sciences Pures at Appliqués 11, 1261 (1900).
[4]. L. Rayleigh, "On convection currents in a horizontal layer of fluid, when the higher temperature is on the underside", Phil. Mag., vol. 32(6), pp. 529, (1916a). Also scientific papers: 6, 432, (1920). Reprinted by Saltzman, (1962).
[5]. L.E. Payne, and B. Straughan, Int. J. Eng. Sci. 27, 827 (1989).

The Enlarged and enhanced concept of big data is extracted in the medical field and the new concept is introduced in the paper concept. The survey concept is take the machine learning based disease prediction from medical field and uses the big data concept, which means the machine learning is a data mining techniques but this technique applied in disease prediction to come some difficulty such as, incomplete data, not suitable in large or big hospital and the some results are inaccurate, so this some difficulty are come in the existing, then, it will be move into the next level called the "Big Data". The big data is large and huge data sets that holds, so this difficulty is overcome.............

Keywords- Big data analytics, Machine Learning, Healthcare, Disease Detection, Medical Data Analysis.

[1]. Shraddha Subhash Shirsath, Prof. Shubhangi Patil Disease Prediction Using Machine Learn.Over Big Data". I international Journal of Innovative Research in Science, Engineering and Technology, [2018]. ISSN (Online) : 2319-8753, ISSN (Print) : 2347-6710.
[2]. Vinitha S, Sweetlin S, Vinusha H, Sajini S. "Disease Prediction Using Machine Learning Over Big Data". Computer Science & Engineering: An International Journal (CSEIJ), Vol.8, No.1, [2018].DOI: 10.5121/cseij.2018.8101.
[3]. Sayali Ambekar and Dr.Rashmi Phalnikar. "Disease Prediction by using Machine Learning". International journal of computer engineering and applications, Volume XII, special issue, May 18. ISSN: 2321-3469.
[4]. Lohith S Y, Dr. Mohamed Rafi. "Prediction of Disease Using Learning over Big Data - Survey". International Journal on Future Revolution in Computer Science & Communication Engineering. ISSN: 2454-4248.
[5]. J. Senthil Kumar, S. Appavu. "The Personalized Disease Prediction Care from Harm using Big Data Analytics in Healthcare". Indian Journal of Science and Technology, vol 9(8), DOI: 10.17485/ijst/2016/v9i8/87846, [2016]. ISSN (Print): 0974-6846, ISSN (Online): 0974-5645.

In Revenue Estimation Tool, the big data challenge emerges from the enormous measures of data required so as to run tool for big clients. In a case, where fifty thousand columns may be deal with, with various conditions and rebate rates connected to each and every one of them. While the data set itself isn't to a great as per the present models, the unpredictable tasks and computations which must be performed on every last one of them adds new measurements to the tool management.Rebates are for instance acquired through a huge tree structure containing a huge number of hubs and the outcomes must be exhibited to the client inside a sensible measure of time.............

Keywords- Big Data, Revenue Optimization, Data Base.

[1]. Ch.Sai Krishna manohar, "Analytics of Big Data Science using Big Data" , IOSR Journal Of Computer Engineering(IOSR-JCE),Volume 10,Issue2(Mar-Apr 2014)
[2]. Manish Kumar Kakhani, Sweeti Kakhani and S.R. Biradar, "Research Issues in Big Data Analytics", International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 2, Issue 8, August 2013.
[3]. Yuvraj S. Sase, P. A., "Big Data Implementation Using Hadoop and Grid Computing", International Journal of Innovative Research in Science, Engineering and Technology,2014.
[4]. Nawsher Khan, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Zakira Inayat, Waleed Kamalel din Mahmoud Ali, Muhammad Alam, Muhammad Shiraz, and Abdullah Gani, "Big Data: Survey, Technologies, Opportunities, and Challenges", Hindawi Publishing Corporation The Scientific World Journal, 2014.
[5]. Dylan Maltby, "Big Data Analytics"2011.