The synthesis of 3-((1,3-bis(phenyl)-1H-pyrazol-4-yl)(1H-indol-3-yl)methyl)-1H-indole and their derivatives has been prepared through the reaction of 1,3-diphenyl-1H-pyrazole-4-carbaldehyde and1H-indole using low cost, easily seperable and recyclable nano ZrO2/SBA-15 catalyst through the simple one pot synthesis. This method is very efficient and eco friendly. The synthesized 3-((1,3-bis(phenyl)-1H-pyrazol-4-yl)(1H-indol-3-yl)methyl)-1H-indole derivative's characteristics are assigned by NMR, C13 NMR, IR and Mass spectroscopy.

Keywords: one pot synthesis, 3-((1,3-bis(phenyl)-1H-pyrazol-4-yl)(1H-indol-3-yl)methyl)-1H-indole, recyclable nano ZrO2/SBA-15 catalyst.

[1]. Domling, A. and Ugi, I. Multicomponent Reactions with Isocyanides. Angewandte Chemie International Edition, 2000, 39, 3168-3210. http://dx.doi.org/10.1002/1521-3773(20000915)39:18<3168::AIDANIE3168>3.0.CO;2-U
[2]. Ugi, I.K., Ebert, B. and Horl, W. Formation of 1,10-Iminodicarboxylic Acid Derivatives, 2,6-Diketo-piperazineand Dibenzodiazocine-2,6-dione by Variations of Multicomponent Reactions. Chemosphere, 2001, 43, 75-81. http://dx.doi.org/10.1016/S0045-6535(00)00326-X
[3]. Nair, V., Rajesh, C., Vinod, A.U., Bindu, S., Sreekanth, A.R., Mathen, J.S. and Balagopal, L. Strategies for HeterocyclicConstruction via Novel Multicomponent Reactions Based on Isocyanides and Nucleophilic Carbenes. Accountsof Chemical Research, 2003, 36, 899-907.
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Non verbal communication has its own benefits and importance from the perspective of many applications. Facial expressions are one of the significant forms of non verbal communication amongst other major non verbal communication indicators like brain signals, body posture, gesture and actions etc. used prominently to convey the emotional state/ mood of a person. Emotion recognition serve wide range of applications like healthcare, patient pain monitoring, driver alert system, cognitive assessment, e- learning, animation etc. Emotion classifier is modeled around the features fed to the model in the form of feature vector i.e. set of prominent features/attributes. The correctness in extracting the facial features has tremendous impact on classifier accuracy...............

Keywords: Facial features, Feature vector, Emotion classification, non verbal communication, Feature extraction

[1]. K. Oatley, and E. Duncan, The Experience of Emotions in Everyday Life, Journal of Cognitive Emotions, 8,1994, 369-381.
[2]. Emily Mower, and Maja J. Mataric, A Frame work for Automatic Human Emotion Classification Using Emotion Profiles IEEE Transactions on Audio, Speech and Language Processing, 19(5), 2011, 1057-1070.
[3]. Pohsiang Tsai, Longbing Cao, Tom Hintz, and Tony Jan, A bi modal face framework integrating facial expression with facial appearance, Elsevier Journal on pattern recognition letters, 30, 2009, 1096–1100.
[4]. Mingli Song, and Xuelong, Image ratio Features for facial Expression Recognition Application, EEE Transaction on Systems, Man and Cybernetics, 40(3), 2010, 779 –788.
[5]. A. Timo, H. Abdenour, and P. I. Matti, Face Description with Local Binary Patterns: Application to Face Recognition, IEEE Transactions On Pattern Analysis And Machine Intelligence, 28(12), 2006, 2037-2041

This paper describes the project based on 3-D printing technology. A 3-D printer is a machine which uses additive manufacturing process to create a 3-dimensional object using digital data. This 3-D printer uses the FDM technology and has 3-axis arrangement with inbuilt heating platform. The heating platform can be finely tuned for precise levelling. This 3-D printer can print things right from microns to 180mm. It is compatible with various materials having melting temperature up to 300oC. The materials like PLA, ABS, HIP, etc can be used. The structure of the 3-D printer is rigid cuboidal frame of 6065 Aluminum having a printing volume of 180x180x180mm3. The main objective of the project is to create a reliable and most cost efficient 3-D printer. This project also emphasizes on design of such machines, various types of extruding materials and its application in some of the core engineering, architecture and medical fields.

Keywords: Additive manufacturing, Design, FDM ,3D printer, Rapid Prototyping.

[1]. Web Link: 3D Printing," Wikipedia, Available: http://en.wikipedia.org/wiki/3D_printing.
[2]. L. M. Galantucci, I. Bodi, J. Kacani, F. Lavecchia, "Analysis of dimensional performance for a 3D open-source printer based on fused deposition modelling technique", published in 3rd CIRP Global Web Conference.

All drivers have an awareness of finding route to the particular destination within a short period. In present scenario, thiscanbeachieved by using Global positioning system (GPS). It determines the current location and alsohelps in finding the route between the source and the destination. At present the drivers comes to know about the traffic and alsoweather conditions in the form of FM radio data system whichtransmits the information collectedfrom Traffic Message Channel. In recentdays, Vehicular ad hoc Network (VANET) isbecoming more popular in many places. VANET is an important element of Intelligent Transportation Source (ITS). VANET is a network whichallows the vehicles to broadcast the safety messages to nearbyvehicles. For using VANET in vehicles, On-Board unit shouldbeplaced in the vehicle and Road Side Unit (RSU) along the highways. The main source of communication between RSU and OBU isdedicated short range communication (DSRC) protocol.

Keywords: Intelligent Transportation System, Privacy preservation, Real- time conditions.

[1]. MarwaAltayeb and ImadMahgoub, "A Survey of Vehicular Ad hoc Networks Routing Protocols‟, International Journal of Innovation and Applied Studies, ISSN 2028-9324 Vol. 3 No. 3, pp. 829-846, July 2013.

[2]. PrabhakarRanjan , Kamal Kant Ahirwar, "Comparative Study of VANET and MANET Routing Protocols‟,Proc. of the International Conference on Advanced Computing and Communication Technologies (ACCT 2011) , ISBN: 978-981-08-7932-7.
[3]. Su-Hyun Kim and Im-Yeong Lee, A Secure and Efficient Vehicle-to-Vehicle Communication Scheme using Bloom Filter in VANETs , International Journal of Security and Its Applications Vol.8, No.2 (2014), pp.9-24 http://dx.doi.org/10.14257/ijsia.2014.8.2.02
[4]. X. Lin, R. Lu, X. Liang, and X. Shen, "STAP: A Social-Tier-Assisted Packet Forwarding Protocol for Achieving Receiver-Location Privacy Preservation in VANETs," Proc. IEEE INFOCOM ‟11, pp. 2147-2155, Apr. 2011
[5]. E. Aimeur, H. Hage, and F.S.M. Onana, "Anonymous Credentials for Privacy-Preserving E-learning," Proc. IEEE MCETECH Conf. e-Technologies (MCETECH ‟08), pp. 70-80, July 2008.

The present study aimed to assess the groundwater quality in Sri Kalahasthi Mandal, Chittoor District of Andhra Pradesh State. A total number of 40 groundwater samples were collected from various parts of the study area during pre-monsoon period (May-2017) to evaluate its parameters such as (pH), EC, Calcium (Ca2+), Magnesium (Mg2+), Sodium (Na+), Potassium (K+), Sulphate (SO42−), Chloride (Cl-), and Bicarbonate (HCO3-). The results indicate that these parameters are spatially inhomogeneous and the groundwater samples can be classified to be Na-Cl and Mixed Ca-Na-HCO3 types. Moreover, Gibbs diagram suggest that precipitation dominance is the main process controlling the hydrochemistry of the groundwater in the study area. In association with WHO standards, the majority of the groundwater samples can meet up the requirement for drinking with few exceptions...............

Keywords: Groundwater quality, Drinking purposes, Irrigation, Physico-chemical parameters, Hydrochemical facies, Srikalahasti Mandal.

[1]. Amarasinghe, U.A., et al., 2007a. India's water future to 2025– 2050: Business-as-usual scenario and deviations. Colombo, Sri Lanka: International Water Management Institute, Research Report No. 123.
[2]. Anke Kirch (2002) Impact of Tourism and Urbanization on Water Supply and Water Quality in Manali, Northern India, Canadian Water Resources Journal / Revue Canadienne des resources hydriques, 27:4, 383-400, DOI: 10.4296/cwrj2704383
[3]. APHA (2005) Standard methods for the examination of water and wastewater, 21st edn. American Public Health Association, Washington
[4]. Nagaraju, A Veeraswamy, G, Sreedhar, Y Thejaswi, A.(2017) Assessment Of Groundwater Quality In Gudur Area Of Andhra Pradesh, South India, ISSN 1018-4619 , Volume 26, No. 5. PP.3597-3606.
[5]. Arthington AH, Naiman RJ, McClain ME, Nilsson C (2010) Preserving the biodiversity and ecological services of rivers: new challenges and research opportunities. Freshwat Biol, Vol. 55(1), pp. 1–16.

The aim of the present study is statistical analysis of rainfall data of srikalahasti mandal, chittoor district and contains the rain gauge station with a normal rain fall 1084mm. The mandal receives rainfall from winter (19.8 mm.), summer (63.2 mm.) southwest monsoon (412.8 mm.) and the northeast monsoon (655.9 mm.). From the analysis of seasonal rainfall it is found that the mandal receives high rainfall in both southwest and northeast monsoon periods. In the eastern plains of the mandal the rainfall recorded is high in northeast monsoon period.

Keywords: Rainfall Analysis, Winter, Summer Seasons .Rain Fall Intensity Maps

[1]. Banukumar, K et.al, "Climatic Types of Tamil Nadu, India", Journal of Spatial Science, 1 & 2, 2007, pp 1- 8.
[2]. Barakade A.J., Rainfall Variability in Solapur District of Maharashtra: A Geographical study, Review of Research Journal, Vol.1, Issue.II, ISSN:-2249-894X,2011, pp.1-4
[3]. Gangai. P, Agroclimatic Aspects of Pudukkottai District, Tamilnadu, India, Department of Geography, Bharathidasan University, Trichy, Ph.D Thesis (Unpublished) 2011.
[4]. Ishappa Muniyappa Rathod et.al, Spatial analysis of rainfall variation in Coimbatore district Tamilnadu using GIS, International Journal of Geomatics and Geosciences Volume 1, no 2, 2010, pp 106- 118.
[5]. Jegankumar. R et.al, Spatial distribution of rainfall in Salem and Namakkal districts, International Journal of Geomatics and Geosciences, Volume 2, No 4, ISSN 0976- 4380, 2012, pp. 976-994

Electricity plays a vital role in any industrial engineering system. The power plant system in any industry serves as a backbone to it. The paper deals with the steady state behaviour of a cold standby system operating in a power plant system. The system comprises of a turbine, a high pressure boiler, a cold standby unit: three low pressure boilers and three fans: PA fan, FD fan and ID fan. A cold standby unit which comprises of three low pressure boilers acts as a redundant system for main high pressure boiler. The analysis has been done based on the real data. There is only one technician available to do the desired job of repair or replacement as per requirement of the failure. Various parameters for effectiveness of the system have been computed using Semi Markov process and regenerative point technique. Graphical study along with interpretation has also been done to study the behaviour of the reliability and cost benefit analysis of the present study.

Keywords: Standby systems; Semi Markov process; Regenerative point technique.

[1]. L. R. Goel and S. C. Sharma (1987), "Stochastic analysis of a 2- unit standby system with two failure modes and slow switch", Microelectron. Reliability 29(4), 493-498.
[2]. R. Gupta, A. Chaudhary and R. Goel (1993), "Profit analysis of a two-unit priority standby system subject to degradation and random shocks", Microelectron. Reliab. 33(8), 1073-1080.
[3]. A. G. Mathew, S. Rizwan, M. C. Majumder, K. P. Ramachandran and G. Taneja (2011), "Reliability analysis of an identical two-unit parallel CC plant system operative with full installed Capacity", International Journal of Performability Engineering 7(2) , 179-185.
[4]. Munjal and S. B. Singh (2014), "Reliability analysis of a complex repairable system composed of two 2-out-of-3: g subsystems connected in parallel", Journal of Reliability and Statistical Studies 7, 89-111.
[5]. D. Singh, A. S. Saini, (2014), "Computational analysis of parameters affecting economy of one gas and one steam turbine system with scheduled inspection", International Journal of Statistika and Mathematika, 11(2), pp 65-73.

Image segmentation of human brain is commonly used for clear-cut partitioning of gray and white matter, cerebral spinal fluid and skull in the image. Several image segmentation strategies have been proposed from the early stages of image processing. Clustering is one of the most popular among them. In this work k-mean, Fuzzy c mean and Genetic algorithm based clustering techniques has been studied and comparative analysis has been done in terms of mean and variance of segmented tumor, and inter and intra cluster distance of the centers for individual algorithm. The accuracy of each method is also compared with the ground truth image. The implemented clustering methods are further compared based on some segmentation metric. Here the BRATS-12 dataset is used for testing the algorithms, which consists 27 high grade tumor and 15 low grade tumor MRI images. Each MRI image is given with four different modalities such as T1, T2, FLAIR and T1+C. The database also consist four ground truth segmented images for each image. The ground truth images are prepared by the four different observers.

Index Terms: Brain tumor, clustering, fuzzy c-mean, genetic algorithm, k mean, segmentation.

[1]. Zaitoun, N. M., & Aqel, M. J. (2015). Survey on Image Segmentation Techniques. Procedia Computer Science, 65, 797–806. https://doi.org/10.1016/j.procs.2015.09.027
[2]. R. Xu and D. Wunsch, Clustering, IEEE Press Series on Computational Intelligence, Wiley, 2008.
[3]. Wu, M.-N., Lin, C.-C., & Chang, C.-C. (2007). Brain Tumor Detection Using Color-Based K-Means Clustering Segmentation. In Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007). IEEE. https://doi.org/10.1109/iihmsp.2007.4457697
[4]. Juang, L.-H., & Wu, M.-N. (2010). MRI brain lesion image detection based on color-converted K-means clustering segmentation. Measurement, 43(7), 941–949. https://doi.org/10.1016/j.measurement.2010.03.013
[5]. Vijay, J., & Subhashini, J. (2013). An efficient brain tumor detection methodology using K-means clustering algoriftnn. In 2013 International Conference on Communication and Signal Processing. IEEE. https://doi.org/10.1109/iccsp.2013.6577136

This paper deals with the problem of analyzing the soil content and select the best place for cultivation. Here, the Problem is solved using the concept of Fuzzy soft sets.

Keywords: Fuzzy soft sets, Soil, Cultivation.

[1]. Klir., G.J. and Yan, B. (1995) "Fuzzy Sets and Fuzzy Logic Theory and Applications", Prentice-Hall International, Inc. London.
[2]. Biswas., R. and Roy, A. R. (2001), "Fuzzy soft sets", Journal of Fuzzy Mathematics, Vol. 9, No. 3, pp. 589-602.
[3]. Maji., P. K Biswas., R. and Roy, A. R., "Soft set theory", Compt. Math. Appl. 45 (2003), 555-562.
[4]. Cagman., N. Citak., F. and Enginoglu, S. (2010), "Fuzzy parameterized fuzzy soft sets theory and its application", Turkish J. Fuzzy Systems,Vol. 1 (1), pp.21-35.
[5]. Sudhir K. Pundir., and RimplePundir,(2010), "Fuzzy sets and Their Applications", PragatiPrakashan, Third Edition.
[6]. Krishna Gogoi., Alock Kr. Dutta., Chandra Chutia,(2014) "Application of Fuzzy soft Set Theory in Day to Day Problems", International Journal of Computer Applications , Vol 85(7),pp.27-31.