In this paper, we have introduced the Weighted model of the Quasi Akash Distribution and the weight function considered here is   c W x  x , where the weight parameter is c . We have investigated different characteristics as well as the structural properties of the Weighted Quasi Akash Distribution (WQAD). We have also derived the Moment Generating Function, Characteristic Function, Reliability Function and Hazard Rate function of the introduced model. Finally model has been examined with real life data.

Keywords: Weighted Quasi Akash Distribution, Weighting Technique, Structural Properties and Maximum Likelihood Estimation.

[1]. Akaike, H. (1976). A new look at the statistical model identification. IEEE Trans. Autom.Control , 19 , 716–723.
[2]. Ayesha, A. (2017). Size Biased Lindley Distribution and Its Properties a Special Case of Weighted Distribution. Applied Mathematics, 08(06), 808-819.
[3]. Buckland, W. R., & Cox, D. R. (1964). Renewal Theory. Biometrika, 51(1/2), 290. doi:10.2307/2334228
[4]. Fisher, R.A. (1934). The effects of methods of ascertainment upon the estimation of frequencies. Ann. Eugenics, 6, 13-25.
[5]. Jing (2010) Weighted Inverse Weibull and Beta-Inverse Weibull Distribution, Georgia Southern University Digital Commons@Georgia Southern.

This work introduces a set of scalable algorithms to identify patterns of human daily behaviors. These patterns are extracted from multivariate temporal data that have been collected from smartphones. We have exploited sensors that are available on these devices, and have identified frequent behavioral patterns with a temporal granularity, which has been inspired by the way individuals segment time into events. We briefly introduce the basics of related research topics, review state-of-the-art approaches, and present some preliminary thoughts on future research directions. This paper proposes a fusion of three different data models like relational, semantically, and big data based data and metadata involving their issues and enhanced capabilities.

Keywords: Multivariate temporal data, Big-data, real-time analytics.

[1] P. Y. Vandenbussche, G. A. Atemezing, M. Poveda-Villalón, and B. Vatant, ``Linked Open Vocabularies (LOV): A gateway to reusable semantic vocabularies on theWeb,'' Semantic Web, vol. 8, no. 3, pp. 437_452, 2017.
[2] K. Höffner, ``Survey on challenges of question answering in the semantic Web,'' Semantic Web, vol. 8, no. 6, pp. 895_920, 2017.
[3] M. Nentwig, M. Hartung, A.-C. N. Ngomo, and E. Rahm, ``A survey of current link discovery frameworks,'' Semantic Web, vol. 8, no. 3, pp. 419_436, 2017.
[4] Gangemi, V. Presutti, D. R. Recupero, A. G. Nuzzolese, F. Draicchio, and M. Mongiovì, ``SemanticWeb machine reading with FRED,'' Seman- tic Web, vol. 8, no. 6, pp. 873_893, 2017.
[5] R. Goodman, R. P. Mahler, and H. T. Nguyen, Mathematics of Data Fusion, vol. 37. Dordrecht, The Netherlands: Springer, 2013.

The paper develops an artificial neural networks (ANNs) based procedure for classifying the stuck at faults (SAF) in the primary output of the synchronous sequential circuits. It builds fault models based on back propagation (BPN) and the extreme learning machine algorithm (ELM) in an effort to process the circuit input–output measurements. It creates the fault dictionary by inserting single and two simultaneous stuck at faults in the circuit. The methodology explores different sizes of test vectors from the fault dictionary to classify the faults through a process of training with the circuit responses obtained from measuring and coding both the input and output signals. The results obtained with the serial adder as the CUT reveal that ANN can serve as an on line classifier for extraditing the occurrence of the SAFs. The comparative performance of the two algorithms show that the ELM based implementation results in faster learning and higher accuracy. The fundamental basis of the scheme enumerates a new dimensional scope for the role of ANN in classifying faults and allows it to claim a space in practical utilities.

Keywords: ANN, Back-propagation, ELM, Fault Classification, Stuck-at-Faults.

[1] Simpson WR, Sheppard JW. System test and diagnosis. 1994; Boston, MA: Kluwer.
[2] Nicolaidis M, Zorian Y. On-line testing for VLSIA—compendium of approaches. J. Electron. Testing: Theory Application. 1998; 12: 7-20.
[3] Zhang Z, Mcleod, RD. Pedrycz W. A neural network algorithm for testing stuck-open faults in CMOS combinational circuits. Journal of Electronic Testing: Theory and Application. 1993; 4(3): 225 -235.
[4] Zhao Y, Li Y. A multiple faults test generation algorithm based on neural networks and chaotic searching for digital circuits. International Conference on Computational Intelligence and Software Engineering, 2010; 1–3.
[5] Chakradhar ST, Bushnell ML, Agrawal VD, Toward massively parallel automatic test generation. IEEE Trans. CAD. 1990; 9: 981-994.

The history of Akseki, which is established in 1286 at the north east of province Antalya, Toros mountains, goes back to the age of The Roman Empire[1]. Akseki provides on interconnection between the important trade and port centers such as Antalya, Side and the Anatolia. "The Butonned Houses" reflects the features of Akseki's unique architecture and culture, and they are important culturel properties, however, recent structuring operations cause damages their architectural texture. In this study, we investigated the general, chacteristic and strucrural features of AksekiButonned Houses and we proposed suggestions for the restoration of AksekiButonned Houses.

Keywords: Restoration, Antalya, Akseki, Architectural, House.

[1]. Culture and Tourism Provincial Directorates of Antalyahttp://www.antalyakulturturizm.gov.tr/Eklenti/ 8679,61dundenbuguneantalya1ciltaksekipdf.pdf?0&_tag1=13E9CF90F1147B7779AE9B52CEAB5747AA69E99A (20.05.2018 16:00)
[2]. Tolun-Denker, B., "Yerleşme Coğrafyası: Kır Yerleşmeleri" Edebiyat Fakültesi Matbaası, Istanbul,1977
[3]. Manav, K., Çalişkan, V., "Geleneksel Bir Mesken Tipinin Turizmde Çekicilik Potansiyelinin Araştirilmasi: "Düğmeli Evler" (Antalya) Örneği" Doğu Coğrafya Dergisi: January-2017, Year:22, Vol: 37, Page:215-240
[4]. Özkaynak, K., "AksekiKazası: Tarih, Coğrafya, Turizm, Biyografya" Akgün Mat. 1954
[5]. Enhoş, M., "Bütün Yönleriyle Akseki ve Aksekililer" Hüsnü Tabiat Matbaası 1974

Construction of tall buildings for residential and commercial purposes has increased rapidly with the progress of construction technology. The structural design for these tall buildings entails the design for strength to ensure the safety of the structure and to satisfy the limit requirements of lateral displacement and storey drifts of the building. Hence, due to the heavy loadings, the analysis and design for stiffness requires the use of effective design methods. Thus, this paper uses the structural analysis software ETABS to analyze the effect of gravity and lateral loads on a medium high rise building. The vertical and lateral loads are applied to the structure. The building is then analyzed and designed for the applied loadings.............

Keywords : Analysis, ETABS, High rise, Lateral displacement, Storey drift

[1]. HUSSAIN, R. R., WASIM, M. & HASAN, S. 2016a. Introduction to ETABS ETABS. Computer Aided Seismic and Fire Retrofitting Analysis of Existing High Rise Reinforced Concrete Buildings. Springer.
[2]. HUSSAIN, R. R., WASIM, M. & HASAN, S. 2016b. Structural Evaluation for Gravity Loads. Computer Aided Seismic and Fire Retrofitting Analysis of Existing High Rise Reinforced Concrete Buildings. Springer.
[3]. POULOS, H. G. 2016. Tall building foundations: design methods and applications. Innovative Infrastructure Solutions, 1, 10.

The project relates to the broad fields of image processing and artificial intelligence is an application of expert system that provides systems the ability to automatically learn and improve the old methods. The main aim of this project to develop an expert system which can identify the and gives the preventing system for plant diseases since the agriculture sector needs a proper awareness of the making end user to understand about the farming issues. The steps required in the process are pre- processing, training and identification and prevention. The diseases considered are :bacterial leaf spot on spinach, downy mildew on basil, leaf spot on coriander, which can cause heavy loss to crop. The Expert system based up on fuzzy rule logic is exploited for detecting the pathology of the leaf............

Keywords- leafdiseases, expert system based fuzzy rules, machine learning, basil, spinach, coriander, downy mildew, leafspot.

[1]. Sachin D. Khirade, and A. B. Patil, "Plant Sainin, M. S., Ahmad, F., & Alfred, R. (2016). Comparison of half and full-leaf shape feature extraction for leaf classification. doi:10.1063/1.4960932 disease detection using image processing," IEEE
[2]. Phattarachairawee, S., & Ketcham, M. (2017). An algorithm image Enhancement for Segmentation Palm-Leaf Manuscript. 2017 International Conference on Digital Arts, Media and Technology (ICDAMT)
[3]. Li, H., Feng, J., Yang, W., Wu, X., Li, Z., & Liu, W. (2011). Spectrum-based method for quantitatively detecting diseases on cucumber leaf. 2011 4th International Congress on Image and Signal Processing.
[4]. May, D. M., Vissage, J. S., & Few, D. V. (1990). New Tree-Classification System Used by the Southern Forest Inventory and Analysis Unit. doi:10.2737/so-gtr-076
[5]. M., G., & S., P. (2016). Tomato Disease Segmentation using K-Means Clustering. International Journal of Computer Applications, 144(5), 25-29. doi:10.5120/ijca2016910270

The credit card fraud is mostly come in financial services. The credit card fraud is generated huge number of problems in every year. Lack of research on this credit card problem and submits the real-world credit card fraud analyzes, that is issues. In this paper is introduced best data mining algorithm called "machine learning algorithm", which is used to detect the credit card fraud, so initially use this algorithm and it is one of the standard model. Then, secondly apply the hybrid methods namely, "AdaBoost and majority vote method". Use this model efficacy, which is evaluated, and then use the credit card data set it is publicly available one. The financial institution included the real-world credit card data set, so it is taking and then analyzed. In this robustness algorithm additionally evaluate the noise added data samples. This concept is used in experiment and then produce the result positively indicate the hybrid method, that is majority voting, it provides good accuracy rates in credit card fraud detection.

Keywords- AdaBoost, classification, machine learning, hybrid method, credit card, fraud detection, predictive modeling, voting.

[1]. Mehak Kamboj, Shankey Gupta. "Credit card Fraud Detection and False Alarms Reduction using Support Vector Machines". International Journal of Advance Research, ideas and innovations in technology, ISSN:2454-132X.
[2]. Er. Monika, Er. Amarpreet Kaur."Fraud Prediction for credit card using classification methid". International Journal of Engineering and Technology, (2018); 7(3) 1083-1086.
[3]. Wee-Yong Lim, Amit Sachan, Vrizlynn Thing. "Conditional Weighted Transaction Aggregation for Credit Card Fraud Detection". HAL ID: hal-01393754.
[4]. Wei Fan, Salvatore J.Stolfo, Junxin Zhang, Philip K.Chan. "AdaCost: Misclassification Cost-sensitive Boosting".
[5]. Philip K.Chan, Wei Fan, Andreas L.Prodromids, Salvatore J.Stolfo. "Distributed Data Mining in credit card fraud detection".

The Robots represent an integral part of manufacturing and materials handling equipment and can be used in a wide variety of applications. Industrial robots are programmable, multi-function manipulators designed to automate tasks such as welding or the movement of materials through variable programmed motions. Now a day the articulated robot arms are effectively utilized in the area of inspection process like welding defects, pipeline inspection and nuclear pressure vessel online inspection using advanced controls technology. Many of the researchers and industrialists illustrated the complete knowledge about the design, and analysis of these types of articulated robots for inspection purposes. This paper focuses the important research works on design and analysis of a generic articulated robot arm to carry out the inspection process in nuclear reactor. This paper consists of an identification of the leading technical issues concerning the application of articulated robot arm in the inspection field also suggest the new mechanical design of robot base actuation.

Keywords- Articulated robot, Robot inspection, Telescopic type arms

[1]. Laurent Gargiulo and Pascal Bayetti (2008)," Development of an ITER relevant inspection robot ", Fusion Engineering and design, Vol. 83, issuses 10-12, pp 1833-1836. [2]. Jagan Zeb and Farook Rashid (2007),"Design and Development of Robot for Radiation Protection Assistance" IJCSNS International Journal of Computer Science and Network Security, VOL.7, pp 99-106.
[3]. Senthilkumaran.G, Singamperumal.M, et al.,(2004)"Pneumatic inspection robotic devices for reliable nondestructive evaluation of nuclear components", International Symposium of Research Students on Materials Science and Engineering", Indian Institute of Technology Madras.
[4]. G.Shanmugasundar,S.Adithya,V.Nagappan, P.Jagadeeshwar, M.Bhaskar (2018) "Design and Fabrication of Stair Climbing Wheelchair with Rocker Bogie Mechanism" IOSR Journal of Engineering (IOSRJEN), International organization of Scientific Research, Vol. 08.issue 07, pp 07-11.
[5]. G. Shanmugasundar, R. Sivaramakrishnan, A Survey on Development of Inspection Robots: Kinematics Analysis, Workspace Simulation and Software Development, International Review Of Mechanical Engineering, 2012, Vol 6. N 7, pp.1493-1507.

In this study, nitrogen doped titanium dioxide (NTiO2) thin films were deposited by dc reactive magnetron sputtering technique on glass substrates at different nitrogen partial pressures and studied the chemical composition, crystalline structure, surface morphology and optical properties. The composition of Ti and nitrogen increased with increasing the nitrogen partial pressures.The films exhibited anatase phase and crystallinity of films increases with increasing the nitrogen partial pressuresupto6x10-3 mbar. The films deposited at nitrogen partial pressure of 6x10-3 mbar two broad peaks are appeared at 395 and 644 cm-1in Raman spectra and are from TiO2anatase phase.The optical band gap of the films was calculated and a narrowing of the band gap from 3.11 eV to 2.98 eV was observed by increasing the nitrogen partial pressure.

Keywords- Titanium dioxide, Nitrogen doped, Thin films, Sputtering, Nitrogen content

[1]. M. Chekini, M.R. Mohammadizadeh, S.M. VaezAllaei, Applied Surface Science 257 (2011) 7179–7183.
[2]. J.O. Carneiro, V. Teixeira, A.J. Martins, M. Mendes, M. Ribeiro, A. Vieira, Vacuum 83 (2009) 1303–1306.
[3]. D.O. Scanlon, C.W. Dunnill, J. Buckeridge, S.A. Shevlin, A.J. Logsdail, S.M. Woodley, C.R.A. Catlow, M.J. Powell, R.G. Palgrave, I.P. Parkin, G.W. Watson, T.W. Keal, P. Sherwood, A. Walsh, A.A. Sokol, Nature Materials 12 (2013) 798.
[4]. Fujishima, K. Hashimoto, T. Watanabe, TiO2Photocatalysis: Fundamentals and Applications, 1st ed. BKC, Tokyo, 1999.
[5]. L.Youssef, A.J.K. Leog, S. Roualdes, J. Bassil,.M. Zakhour, V. Rouessac, A. Ayral, M. Nakhl, J. European Ceramic Society 37 (2017) 5289-5303.

The paper develops an artificial neural networks (ANNs) based procedure for classifying the stuck at faults (SAF) in the primary output of the synchronous sequential circuits. It builds fault models based on back propagation (BPN) and the extreme learning machine algorithm (ELM) in an effort to process the circuit input–output measurements. It creates the fault dictionary by inserting single and two simultaneous stuck at faults in the circuit. The methodology explores different sizes of test vectors from the fault dictionary to classify the faults through a process of training with the circuit responses obtained from measuring and coding both the input and output signals...........

Keywords- ANN, Back-propagation, ELM, Fault Classification, Stuck-at-Faults.

[1]. Simpson WR, Sheppard JW. System test and diagnosis. 1994; Boston, MA: Kluwer.
[2]. Nicolaidis M, Zorian Y. On-line testing for VLSIA—compendium of approaches. J. Electron. Testing: Theory Application. 1998; 12: 7-20.
[3]. Zhang Z, Mcleod, RD. Pedrycz W. A neural network algorithm for testing stuck-open faults in CMOS combinational circuits. Journal of Electronic Testing: Theory and Application. 1993; 4(3): 225 -235.
[4]. Zhao Y, Li Y. A multiple faults test generation algorithm based on neural networks and chaotic searching for digital circuits. International Conference on Computational Intelligence and Software Engineering, 2010; 1–3.
[5]. Chakradhar ST, Bushnell ML, Agrawal VD, Toward massively parallel automatic test generation. IEEE Trans. CAD. 1990; 9: 981-994.

In this work eleven water samples are collected from surface and ground water sources of three different villages Pondugala, Ananthavaram, and Chandrala in Krishna district of Andhra Pradesh. The water quality is analysed for its suitability for drinking and construction purposes. Water quality index is developed based on two models viz., Parameter value based and standard value based and the index values obtained are compared. The water quality is high in hardness and TDS indicating water needs to be treated appropriately before using. The construction water quality indicates the water quality is high in acidity, alkalinity, organic and inorganic content. Two sources are identified as relatively better suitable among the 11 samples collected.

Keywords- Water quality index, drinking water standards, construction water standards, water pollution.

[1]. M. Adekunle, M. T. Adetunji, A. M. Gbadebo and O. B. Banjoko. "Assessment of Groundwater Quality in a Typical Rural Settlement in Southwest Nigeria", International Journal of Environment Research Public Health, 4(4), 2007, 307-318, ISSN 1661-7827.
[2]. A.A. Adesuyi, Nnodu Valerie Chinedu, Akinola Modupe Olatunde, Njoku Kelechi Longinus, Jolaoso Anuoluwapo Omosileola. "Groundwater Quality Assessment In Eliozu Community, Port Harcourt, Niger Delta, Nigeria", International Journal of Scientific & Technology Research, 4 (12), 2015, 149-155, ISSN 2277-8616.
[3]. K. Ambiga. "Assessment of Groundwater Quality Index Using GIS at Tirupathi, India", International Research Journal of Engineering and Technology, 3 (2), 2016, 552-564, e-ISSN: 2395 -0056, p-ISSN: 2395-0072.
[4]. R. Basawaraja and K B Chari. "Metrics and Dynamics of Urban Sprawl of Raichur City, India", International Journal of Advanced Remote Sensing and GIS, 7 (1), 2018, 2580-2588.
[5]. Himanshu Sharma, Hemant Sood, and Deepanshu. (2015). "Effect of Concentration of alkaline water on strength of Concrete", International Journal of Civil Engineering, 2 (1), 2015, 4-6, e-ISSN: 1694-2280.

In recent times, soil reinforcement is considered as one of the most important tool in various civil engineering projects since removal and replacement is not an economically viable option. One of the most important applications is in field of subgrade stabilization of pavement. As the subgrade serves as the foundation for pavement it should have sufficient load carrying capacity. In India more than 20% land area is covered with soils having low CBR and shear strength values. The pavement constructed over such soils deteriorates significantly under heavy wheel loads. In order to overcome such situations recently use of geosynthetic materials comes into picture. Their use reduces the construction cost and time drastically in comparison to other conventional reinforcement materials. The present study reviews the available state of the art knowledge on use of synthetic geogrids in soil reinforcement purposes including their types, initial development and use areas.

Keywords- geogrid, pavement, reinforcement, stabilization, subgrade

[1]. J.G. Zornberg and R. Gupta, Reinforcement of pavements over expansive clay subgrades, 17th International Conference on Soil Mechanics and Geotechnical Engineering, 2009, 765-768.
[2]. S.A. Naeini and R.Z. Moayed, Effect of plasticity index and reinforcement on the CBR value of soft clay. International Journal of Civil Engineering, 7(2), 2009, 124-130.
[3]. O. Azadegan and G.R. Pourebrahim, Effect of geogrids on compressive strength and elasticity modulus of lime/cement treated soils, EJGE, 15, 2010, 1571-1580.
[4]. C.A. Adams, N.Y. Amofa and R.O. Boahen, Effect of Geogrid Reinforced Subgrade on Layer Thickness Design of Low Volume Bituminous Sealed Road Pavements, IRJES, 3(7), 2014, 59-67.
[5]. S. Tiwari and M. Vyas, Effect of Geogrid Reinforcement on Pavement Subgrade, International Journal for Scientific Research and Development, 5(5), 2017, 183-186.

The key idea of linked open data (LOD) is to interlink the related contents on the web. Due to the dynamic nature of the web, the contents on the web will change more often. The change in contents on the web leads to broken links. The operations like create, delete, move or update on the web are the major reasons for broken link. Sometimes, if semantic of the contents is altered it will also result in broken link. Semantic broken links are very hard to handle by humans and machines. In this paper we have used well defined flagging approach to identify the semantic broken link. In this approach the semantic modification in the pages are detected using a flagging scheme.

Keywords- Linked open data, Semantic Web, Broken Links, Link Integrity

[1]. DatasetDynamics - W3C Wiki. http://www.w3.org/wiki/DatasetDynamics.
[2]. Document classification - wikipedia, the free encyclopedia. http://en.wikipedia.org/wiki/ Document_classification.
[3]. Wikipedia:categories, lists, and navigation templates. http://en.wikipedia.org/wiki/Wikipedia: Categories,_lists,_and_navigation_templates.
[4]. H. Ashman. Electronic document addressing: dealing with change. ACM Comput. Surv., 32(3):201–212, Sept. 2000.
[5]. S. Auer, S. Dietzold, J. Lehmann, S. Hellmann, and D. Aumueller. Triplify: light-weight linked data publication from relational databases. In Proceedings of the 18th international conference on World wide web, WWW '09, pages 621–630, New York, NY, USA, 2009. ACM.

The present investigation deals with the study of fluid flow mass and heat transfer characteristics in the melting process towards a stretching/shrinking surface. The governing equations representing fluid flow have been transformed into nonlinear ordinary differential equations using similarity transformation. The equations thus obtained have been solved numerically using Runge–Kutta forth order method with shooting technique. The effects of the magnetic parameters on the fluid flow mass and heat transfer characteristics have been illustrated graphically and discussed in detail. Significant changes were observed in the fluid flow mass and heat transfer with respect to magnetic parameter.

Keywords- Melting process, Stagnation point, Heat absorption/generation, Stretching Surface, micropolar fluid, MHD, heat transfer.

[1]. A.C. Eringen simple micropolar fluids. Int. J. Eng. Sci. 2 , 205-217(1964)
[2]. A.C. Eringen, Theory of micropolar fluids.J. Math Mech. 16, 1-18 (1966)
[3]. A.C. Erigen, Theory of Thermomicro fluids. J. Math Anal appl. 38, 480-496(1972)
[4]. Ishak A, yocob NA, Pop I, Melting heat transfer in boundry layer stagnation-point flow toward a stretching/shrinking sheet in a micropolar fluid. Heat Mass transfer 47,16-21(2011)
[5]. A.J.Chamka, Hydromagnatic mixed convection stagnation flow with suction and blowing, Int. comm. Heat mass transfer 25,417-426(1998).