Weather datasets areenriched with indispensable information which isconcealedwithin the data. This information can be discovered using various machine learning algorithms and thereby, can be prolific in decision making and weather prediction. Forecasting weather conditions is considered to be an imperative application of meteorology which has been an extremely challenging problem round the globe. There are numerous data mining techniques that have been employed in the realm of forecasting atmospheric conditions. The meteorological associations deploy high intensive computing machines to execute weather forecasting model. Therefore to address this subject matter, we proposed and implemented diverse models based on application of different mining methods............

Keywords: Data Mining, Classification, Naive Bayes, J48, Bayes Net, IB1.

[1]. A. K. Chaudhary, J .A. Harding and M. K Tiwari, Data mining in manufacturing: Review based on the kind of knowledge, Journal of Intelligent Manufacturing, Volume 20, Issue 5, pp. 501-521 October 2009.
[2]. L. A. Kurgan, and P. Musilek, A survey of Knowledge Discovery and Data Mining process models, The Knowledge Engineering Review, Cambridge University Press, USA, Vol. 21(1), pp. 1-24, March 2006.
[3]. R. Kumar, Dr. S.R.Verma, KDD Techniques: A survey,International Journal of Electronics and Computer Science Engineering ,IJECSE,Vol. 1,.pp 2042- 2046,2008.
[4]. M. A. Kalyankar, Prof. S. J. Alaspurkar, Data Mining Technique to Analyse the Meteorological Data, International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 3, pp. 114-118, February 2013.
[5]. A. Shahi, R. Bintiatana ,An Effective Fuzzy C-mean and Type- 2 Fuzzy Logic for Weather Forecasting, Journal of Theoretical and Applied Information Technology ,pp.510-511,2009.

In this paper, we discussed about best solution for the assignment problem using best job method. In this contribution they converted this crisp assignment problem as an interval assignment problem and using best assignment method. We conclude that minimal computation time, less complexity and same optimal solution.

Keywords: Best job method, Hungarian method, Interval linear assignment, Best assignment method. M.Sc.Code: 90B80

[1]. Ahmad, H.A. (2012) "The Best candidates method for solving optimization problem", Journal Computer Science, pp.711-715.
[2]. Abdallah, A. Hlayel, Mohammad, A. Alia. (2012) "Solving Transportation problems using the best candidate method", Computer Science and Engineering, An International Journal, Vol.2, No.5, pp.23-30.
[3]. Ramesh Kumar, A and Deepa, S. (2015) "Solving Assignment Problems using Best Job Method", The Journal of the Indian Academy of Mathematics, Vol.37, No.2, pp.353-370.
[4]. Sarangam Majumdar (2013) "Interval Linear Assignment Problems", Universal Journal of Applied Mathematics, 1(1): 14-16.
[5]. Ramesh, G and Ganesan, K. (2015) "Assignment Problem with Generalized Interval Arithmetic", International Journal of Scientific and Engineering Research, Vol.6, Issue.3.

In this paper we introduce Intuitionistic Fuzzy Hilbert space (IFHS) and investigate certain some properties of IFHS. Also, we have given several definitions of Intuitionistic Fuzzy Orthogonal and Intuitionistic Fuzzy Orthonormal discuss in detail.

Keywords: IntuitionisticFuzzy Norm(IFN), Intuitionistic Fuzzy Inner Product Space(IFIP-space), Intuitionistic Fuzzy Hilbert Space(IFH-space), Intuitionistic Fuzzy Orthogonal(IF- orthogonal), Intuitionistic Fuzzy Orthonormal(IF-. Orthonormal).

[1]. L.A Zadeh, fuzzy sets, Information and control, 8, 1965,338-353.
[2]. A. K.Katsaras,Fuzzy topological vector space-II, Fuzzy Sets and Systems(FSS),12,1984,143-154.
[3]. S.C.Cheng, J.N.Mordeson, Fuzzy linear operator and Fuzzy normed linear spaces, Bull.Cal.Math.Soc, 86, 1994, 429-436.
[4]. C.Felbin,Finite dimensional Fuzzy normed linear space, Fuzzy Sets and Systems, 48, 1992,239-248.

The paper deals with the problem of reflection of plane waves at the free surface of transversely isotropic micropolar elastic solid. The governing equations of transversely isotropic micropolar material are specialized in x-z plane. The plane wave solutions of these equations indicate the existence of three reflected waves in a transversely isotropic micropolar half-space. The relations in amplitude ratios and the expressions for energy ratios corresponding to reflected waves are obtained numerically with a suitable Snell's law. The speeds, amplitude ratios and the square root of energy ratios are plotted against the angle of incidence. The effect of micro-inertia on speed, amplitude ratios and energy ratios are studied graphically for a particular model.

Keywords: Plane wave, reflection, micro-inertia, amplitude ratio, energy ratio.

[1]. Eringen A.C and Suhubi E.S. Non-linear theory of simple microelastic solids I. International Journal of Engineering Science. 1964; 2: 189-203.

[2]. Eringen A.C and Suhubi E.S. Non-linear theory of simple microelastic solids II. International Journal of Engineering Science. 1964; 2: 389-404.
[3]. Eringen A.C. Linear theory of micropolar elasticity. Journal of Mathematics and Mechanics. 1966; 15: 909-924.
[4]. Nowacki W. and Nowacki W.K. Generation of waves in infinite micropolar elastic solid body I. Bulletin of the Polish Academy of Sciences Technical Sciences. 1969; 17: 39-47.
[5]. Nowacki W. and Nowacki W.K. Generation of waves in infinite micropolar elastic solid body II. Bulletin of the Polish Academy of Sciences Technical Sciences. 1969; 17: 49-56.

Allowing the user to search from road networks is an interesting research issue in the field of queries in road network. Various models proposed by various authors from years of research, every model has its own pros and cons. If this paper, we are proposing an efficient and empirical model of road network based implementation for user search queries. Finding the search results like restaurant, hospital, home etc. are related spatial queries which includes latitude and longitude for every entity. Our proposed model improves the performance by cluster and proxy implementation while finding the optimal path and it gives more efficient results than traditional model.

Keywords: ....................

[1]. D. Delling, A. V. Goldberg, and R. F. Werneck, ―Faster batched shortest paths in road networks,‖ in Proc. 11th Workshop Algorithmic Approaches Transportation Model., Optimization, Syst., 2011, vol. 20, pp. 52–63.
[2]. R. Geisberger, ―Advanced route planning in transportation networks,‖ Ph.D. dissertation, Karlsruhe Inst. Technol., Karlsruhe, Germany, Feb. 2011.
[3]. R. Geisberger, P. Sanders, D. Schultes, and C. Vetter, ―Exact routing in large road networks using contraction hierarchies,‖ Transportation Sci., vol. 46, no. 3, pp. 388–404, 2012.
[4]. I. Abraham, D. Delling, A. V. Goldberg, and R. F. Werneck, ―A Hub-based labeling algorithm for shortest paths on road networks,‖ in Proc. 10th Int. Symp. Exp. Algorithms, 2011, LNCS 6630, pp. 230–241.
[5]. I. Abraham, D. Delling, A. V. Goldberg, and R. F. Werneck, ―Hierarchical hub labelings for shortest paths,‖ in Proc. 20th Annu. Eur. Conf. Algorithms, LNCS 7501, 2012, pp. 24–35.

Segmentation is an anterior and decisive step in image processing which extracts out and describe the anatomical structures with regard to some input parameters. There are several algorithms (edge detection, thresholding, region growing) to perform segmentation of an image. K-means clustering algorithm has been extensively used in segmenting various parts of an image. However it has got many drawbacks, which is not at all appreciable in medical grounds. In this paper, primarily we have developed a new algorithm, Wavelet based Fuzzy-K-means algorithm, which focuses on use of Quincunx wavelet transform for time-frequency transformation and then the combination of the Fuzzy logic with the k-means algorithm helps in detecting various sections of a MRI image of the brain. Finally we have used Roberts‟s edge detector to segregate the cancerous cells (tumor) from other parts of the brain. The newly formulated algorithm has much better efficiency and precision than the traditional ones.

[1]. Jianbo Shi , Jitendra Malik: "Normalized Cuts and Image Segmentation" , Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 731-737 (1997)
[2]. A. Mehta, S.Tatiraju "Image Segmentation using k-means clustering, EM and Normalized Cuts", Department of EECS, pp. 1-7 (2008)
[3]. Clark MC, Clarke LP, Goldgof DB ,Hall LO, Velthuizen RP, Silbiger MS, :"MRI Segmentation Using Fuzzy Clustering Techniques", IEEE Engg Medicine and Biology, ISSN: 0739-5175, Vol. 13(5), pp. 730–742. (1994)

[4]. C. Piatko, D. M. Mount, N. Netanyahu, R. Silverman, & Y. Wu: "An efficient k-means clustering algorithm: Analysis and implementation" Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp.881-892 (2002)
[5]. Malay K Pakhira: "A Modified k-means Algorithm to Avoid Empty Clusters" International Journal of Recent Trends in Engineering, Vol 1, No. 1 (2009)

Recycling or recovering of concrete is a very important issue because it reduces both the use of new virgin aggregates and the unnecessary landfill of valuable materials that can be recovered and redeployed. In this study, concrete was crushed and sieved, then the fine recycled concrete powder (less than 90 μm diameter) was added to cement with different percentages (from 10 to 30 wt.%) to prepare mortar samples. Increasing the amount of recycled concrete powder was found to decrease the consistency which is related to the high content of limestone in powder. The addition of recycled concrete powder decreased slightly the initial setting time and it did not affect the final setting of mortar samples, while the compressive strength of mortar samples decreased from 52.20±2.18 MPa to 50.91±0.57 MPa when 10 wt.% recycled concrete powder was added............

Keywords: Recycled concrete powder, Compressive strength, Consistency, Setting time.

[1]. Bador, D,Plian, D,Jubele, L, "Environmental of Concrete", 29-35, 2009.
[2]. Kumar Mehta, P, "Reducing the Environmental Impact of Concrete", Concrete International, 61-66, 2001.
[3]. Abed, F, "Using of Recycled Aggregate in Producing Concrete Elements", Thesis Submitted In Partial Fulfillment of The Requirements for the Degree of Master of Science in Civil Engineering-Design and Rehabilitation of Structures performed in Islamic university, page 7, Palestine, 2009.
[4]. Malešev, M, Radonjanin, V,Marinković, S, "Recycled Concrete as Aggregate for Structural Concrete Production", Sustainability, 2, 1204-1225, 2010.
[5]. Nenoa, C, De Brito, J, Veiga, R, "Using Fine Recycled Concrete Aggregate for Mortar Production", Materials Research, 17 (1), 168-177, 2014.

In civil engineering, in order to increase the factor of safety for heavy loads buildings or any other structure built upon special conditions such as, the presence of highly compressible upper soil layers or comparatively weak to support the whole load of the structure, pile foundations are preferably used thus to transmit loads from superstructures built on them deep into a hard deeper layer. The fact that piles are driven deep into the ground thus to interact mostly with saturated soil layers, their interaction with surrounding soils remain one of the most crucialessential parts of the whole structure. Besides, the pile-soil system behavior is predominantly nonlinear and this makes the problem complicated. Nowadays, the analysis became easier with the debut of powerful computers and simulation tools. A detailed review onthe static interaction between piles and homogenous and non-homogenous soils from different existing kinds of literature is presented in this paper.Further, this review paper uses a combination of olderand most recent literature to provide a historical perspective on the topic and to illustrate advances on this topic.

Index Terms: Fictitious pile method, pile-soil interaction, soil, transverse isotropy property, vertically loaded piles

[1] G. F. Sowers, C. Martin, L. L. Wilson, and M. Fausold, "The bearing capacity of friction pile groups in homogeneous clay from model studies," in Proc. 5th Int. Conf on Soil Mechanics and Foundation Engineering, 1961: 155-159.
[2] H. B. Seed and L. C. Reese, "The action of soft clay along friction piles," American Society of Civil Engineers Transactions, 1955.
[3] H. M. Coyle and L. C. Reese, "Load transfer for axially loaded piles in clay," Journal of the Soil Mechanics and Foundations Division,1966. 92(2): 1-26.
[4] H. Poulos, "Analysis of the settlement of pile groups," Geotechnique, 1968. 18(4): 449-471.
[5] A. Thurman and E. D'Appolonia, "Computed movement of friction and end bearing piles embedded in uniform and stratified soils," in Proc. 6th Int. Conf on Soil Mechanics. 2,1965: 323-327.

The aim of present investigation is carried out for knowing quality of the drinking water and irrigation of the study area.24 groundwater samples were collected with a different intervals ,and analyzed the different physico chemical parameters like PH, EC ,TDS, Ca, Mg, Na, K Hco3,Co3 So4,Cl,Hardness and Alkanity. Subsequently explain the irrigation parameters like sodium absorption ratio, potential salinity, Kelly's ratio, percent sodium etc. The concentration of the majority of chemical constituents exceeds the standards of WHO as a result of various sources of pollution. In the study area water type; CaMgHCO3 water. The chemical elements were derived from the rock -water interaction especially geology like the Hornblende biotite gneiss, granodiorite granitoid gneiss migmatites complex and rock water interaction is shown by the Gibb's plot diagram.

Keywords: Groundwater quality, Drinking purposes, Irrigation, Physico-chemical parameters, piper diagram and K V B Puram Mandal map.

[1]. APHA 2012. Standard methods for the examination of water and wastewater, 22nd edn. American Public Health Association, New York.

[2]. Balaji E, Nagaraju A, Sreedhar Y, Thejaswi A, Zahed Sharifi. 2017. Hydrochemical characterization of groundwater in around Tirupati Area, Chittoor District, Andhra Pradesh, South India. Appl Water Sci 7: 1203-1212.

[3]. Daraigan SG, Wahdain AS, BaMosa AS, Obid MH. 2011. Linear correlation analysis study of drinking water quality data for AlMukalla City, Hadhramout, Yemen," International Journal of Environmental Sciences 1: 1692–1701.

[4]. Dokou Z, Kourgialas N, Karatzas GP. 2015. Assessing groundwater quality in Greece based on spatial and temporal analysis. Environ. Monit. Assess 187: 1–18.
[5]. Domenico PA. 1972. Concepts and models in groundwater hydrology. McGraw-Hill, New York.