In this study, the temporal pattern of vowels under various syllable types, word positions and neighboring syllables are analyzed. It is found that, under the effect of final lengthening, the vowel of the second syllable is longer than the first syllable. It is also found that when the structure of the neighboring syllable is CV, the vowel of the second syllable is the longest, while that of the first is the shortest. This is due to the mechanism that, the first syllable tends to be unstressed, while the second syllable tends to be stressed. Results show that when there are two or more than two consonant segments in the second syllable, the vowel of the first syllable tends to be very short, which is due to the compensation effect.

[1]. Nooteboom, S. G. and Cohen, A. Spreken en verstaan. Assen: van Gorcum, 1984.
[2]. Jongman, A. and Sereno, J. A. On vowel quantity and post-vocalic consonant duration in Dutch, Proceedings of the XIIth International Congress of Phonetic Sciences, 1991, vol. 2, pp. 294–297.
[3]. Kuijpers, C. T. L. Temporal Coordination in Speech Development. Doctoral thesis, University of Amsterdam, 1993.
[4]. Port, R. Linguistic timing factors in combination, Journal of the Acoustical Society of America, 1981, 69, pp. 262–274.
[5]. Heuven, V. van. Linguistic versus phonetic explanation of consonant lengthening after short vowels: A contrastive study of Dutch and English. In J. J. Ohala, T. M. Nearey, B. L. Derwing, M. H. Hodge and G. W. Wiebe (eds), Proceedings of the International Conference on Spoken language Processing, vol. 2, 1992, pp. 12 75–1277.

Barium (Ba2+) doped in A-site and Zirconium (Zr4+) doped in B-site of NBT, (Bi0.5Na0.5)0.92Ba0.08Zr0.04Ti0.96O3 polycrystalline material was prepared by Solid State Reaction method. Frequency dependence of dielectric constant and Electric Modulus were discussed at various temperatures in frequency range (101-106Hz). A relaxation phenomena was observed in the material. The present dielectric material obeys Jonsher's law. The coefficient's of Jonsher's law A(T) and n(T) was interpreted by curve fitting method. Electrical Modulus reveals a long-range mobility of charge carriers at high frequencies at various temperatures.

[1]. J. Kuwata, K. Uchino, and S. Nomura, 'Dielectric and piezoelectric properties of 0.91Pb(Zn1/3Nb2/3)O3-0.09PbTiO3 single crystals', Jpn. J. App.Phy, v21 part 1, (1982) p 1298
[2]. S. Park and T. R. Shrout, 'Ultra strain and piezoelectric behaviour in relaxor based ferroelectric single crystal', J. Appl, Phys, Vol 82(4), (1997) p1804
[3]. H. Fu and R. E. Cohen, 'Polarization rotation mechanism for ultrahigh electromechanical response in single-crystal piezoelectrics', Nature, Vol 403, (2000), p 281-283
[4]. J. Ravez, and A. J. Simon, Some Solid State Chemistry Aspects of lead –Free Relaxor Ferroelectrics, J. Solid. State. Chem, Vol 162(2),(2001), p 260-265
[5]. T. Takenaka, H. Nagata, Y. Hiruma, Y. Yoshii, and K. Matumoto, 'Lead-Free Piezoelectric ceramics based on perovskite structure', J. Electroceramics, Vol 19(4),(2007) p 259-265

It presents a simulation study oriented to the control of irrigation systems, whose main objective was to evaluate the performance in terms of stability of controllers based on the fuzzy logic and PID, which have as a characteristic the emulation of human knowledge and traditional use in industrial applications respectively. Both control systems interacted with the different models and sub-models related to the microclimate of plants, so that their fundamental purpose was to maintain soil moisture and the water requirements of the crop. As a control strategy, it was defined as an input signal the difference between the humidity level supported by the existing soil type and the actual humidity level measured in each instant of time through electronic sensors..............

[1]. Adeboye, O., and J. Osunbitan, "Evaluation of FAO-56 Penman-Monteith and Temperature Based Models in Estimating Reference Evapotranspiration Using Complete and Limited Data, Application to Nigeria". Ile-Ife, Nigeria: Department of Agricultural Engineering (2010).
[2]. Allen, R., L. Pereira, D. Raes, y M. Smith, "Evapotranspiración del Cultivo: Guías para la Determinación de los Requerimientos de Agua de los Cultivos". Roma, Italia: FAO (2006).
[3]. Berengi, H., "Fuzzy and Neural Control". New York, USA: Intelligent and Autonomuos Control (1996).
[4]. Bitar, S., "Las tendencias mundiales y el futuro de América Latina", (2014).
[5]. Díaz, M. "La economía del departamento de Sucre: ganadería y sector público. Banco de la República", Centro de Estudios Económicos Regionales, (2005).

Drying is by far the most widely used treatment, which needs to be performed very carefully and preciously so as to preserve the aroma and color of the leaves. Drying treatment and experimental method hot air tray drying was carried out at the temperatures of 45°C, 55°C and 65°C to find and suggest the optimum drying condition for acquiring quality dried basil leaves and active ingradientl like uginol , caryophyll of basil leaves..Results have revealed that 'total drying time' is considerably reduced with the increase in drying air temperatures from 45°C to 65°C. It could be recommended that for the best drying temperature is 45°C of basil leaves to retain the various active ingradient.

[1] Abdollah, G. P., E. Mahdad, and L. Craker. 2014. Effects of drying methods on qualitative and quantitative properties of essential oil of two
[2] basil landraces. Food Chemistry, 141(3): 2440-2449.Anonymous (1966). Raw materials (N-Pe). In "Wealth of India; Volume-VII";

[3] Publication and Information Directorate, CSIR, New Delhi, India, p.87.Brophy, J. J., R. J. Goldsack, and J. R. Clarkson. 1993. The essential
[4] oil of Ocimum lenuilflorum L. (Lamiaceae) rowing in Northern Australia. Journal of Essential Oil Research, 5(4): 459.
[5] Di Cesare, L. F., M. Riva, and A. Schiraldi. 1994. Microwave extraction of basil aroma compounds. In Food Flavors: generation, analysis,

Alzheimer's Disease(AD) has been proved as a deadly disease with most of the population being affected by it, especially old-aged people. As a result, the diagnosing field is in dire need of a computer-aided diagnosis model that can predict and classify patients accurately. For a better diagnosing model, the medical input must provide clear information to the model. This paper aim at pre-processing of the inputs, thereby reducing the dimensionality, differentiating parts of the brain and tuning them to contribute to the improvement in accuracy for the classification model.

[1] https://www.alz.org/alzheimers_disease_early_onset.asp
[2] http://www.fil.ion.ucl.ac.uk/spm/
[3] Eduardo Bicacro, Margarida Silveira, Jorge S. Marques," Alternate Feature Extraction Method in 3D Brain Image-Based Diagnosis Of Alzheimer's Disease", 1237–1240, 2012.
[4] Bron, E. E., Smits, M., Niessen, W. J., & Klein, S. Feature Selection Based on the SVM Weight Vector for Classification of Dementia, 2015.
[5] Cheng, B., Liu, M., Zhang, D., Munsell, B. C., Shen, D., & Member, S.,"Domain Transfer Learning for MCI Conversion Prediction", 2015.

Natural Zeolite Heulandite belongs to Group VII were collected near Ellora Ajanta belt. characterization wasmade using XRD,IR at NCL Pune. Dielectric study of NH4-Helundite was studied using LCR Bridge.

[1] Joshi , M. Joshi V. , Choudhari A., Kasture M., 1997 structural studies of natural Heulandite using infrared spectroscopy , materials chemistry and physics 48 , 160 – 168.
[2] Armbrusters,th (1993) Gunter , M 1991, Stepwise dehydration of a Heulandite & Clinoptilolite from succor creck Oregon. USA a single crystal X – ray study at 100 K. American Minerologist 76, 1872 – 1883.
[3] Dell Agil, G. Frone, C. Massolo , G Pansini, M (1999), Dilatometry of Na –K –Ca and NH4 – Clinoptilolite. Thermochemica Acta 336, 105 – 110.
[4] Arcoya, A, Gonzalez , J , Liabre , G, Seoane , x , Traviesco , N , 1996. Role of the counteraction on the molecular sieve properties of a Clinoptilolite. Microporous. Materials 7, 1-13.
[5] Bish , D , 1988. Effects of composition on the dehydration behavior of Clinoptilolite and Heulandite In ; Kallo, D , Sherry, H. (Eds) Occurrence, Properties and Utilization of Natural zeolites. Acade Kiado , Budapest , PP. 565 – 576.

In this paper a new method for Full Reference Image Quality Assessment is presented. In current work the edge of the image is analyzed and the best scenario about the color is found. In first step the RGB, HSI and YCbCr color aretested. For each color the wavelet transform is applied and the edge of the images are extracted. With edge intensity specification the image quality assessment is tested. As result shown in this paper the PSNR, SROCC and Pearson is calculated.

[1] H. Maitre, "A Review of Image Quality Assessment with application to Computational Photography," 2015.
[2] Chandler, "Seven Challenges in Image Quality Assessment: Past, Present, and Future Research," ISRN Signal
[3] Processing, 2012.
[4] C. B. Zhou Wang, LigangLu, "WHY IS IMAGE QUALITY ASSESSMENT SO DIFFICULT?," IEEE,
[5] 2002.
[6] J. A. Karen Egiazarian, Nikolay Ponomarenko, Vladimir Lukin, Federica Battisti, Marco Carli, "A New Full

Air pollution has become a major problem around National Capital Region (NCR) of India. It has Particulate Matter (PM10) as its one of the constituents. Prediction of air pollutant PM10 can be of help in formulating a policy for air pollution abatement. This paper intends to introduce the reader about air pollution as a problem and also time series analysis of air pollutant PM10 for Bulandhshahr Industrial Area of Ghaziabad city in NCR India using past years data as published by the State Pollution Control Board is conducted using multiple linear regression.

[1] A. C. Goodman and T. G. Thibodeau, "Housing Market Segmentation", Journal of Housing Economics, vol. 7, no. 2, pp. 121– 143, June, 1998
[2] Berry, J. A. and Lindoff, G., Data Mining Techniques, Wiley Computer Publishing, ISBN 0-471-17980-9, 1997
[3] Calhoum C.A., "Property Valuation Models and House Price Indexes for the Provinces of Thailand: 1992-2000", Housing Finance International, 17(3): 31-41, 2003
[4] Dasgupta, Purnamita , "Valuing Health Function Approach", Environment and Development Economics, 9(1): 83-106, 2004
[5] J. E. Zabel and K. A. Kiel, "Estimating the demand for air quality in four US cities," Land Economics, vol. 76, no. 2, 174–194, May 2000

An inventory model with different deterioration rates under inflation and permissible delay in payments for two level storage is developed. Demand is considered as function of price and time. Holding cost is time dependent. Shortages are allowed and completely backlogged. Numerical case is given to represent the model. Affectability investigation is likewise done for parameters.

[1]. Aggarwal, S.P. and Jaggi, C.K. (1995): Ordering policies for deteriorating items under permissible delay in payments; J. Oper. Res. Soc., Vol. 46, pp. 658-662.
[2]. Bhunia, A.K., Shaikh, A.A. and Gupta, R.K. (2013): A study on two-warehouse partial backlogged deteriorating inventory models under inflation via particle swarm optimization; International J. of System Sciences, pp. 1-15.
[3]. Chang, C.T., Teng, J.T. and Goyal, S.K. (2008): Inventory lot sizing models under trade credits; Asia Pacific J. Oper. Res., Vol. 25, pp. 89-112.
[4]. Chung, H.J. and Dye, C.Y. (2002): An inventory model for deteriorating items under the condition of permissible delay in payments; Yugoslav Journal of Operational Research, Vol. 1, pp. 73-84.

This research is aimed to analyze the quality of water in downstream of Parit Tokaya catchment area. The quality of water is analyzed at 7 points of water sampling. Water quality parameters analyzed were temperature, TSS, TDS, pH, DO, and BOD. Along the downstream of Parit Tokaya, water temperature ranges from 25 °C - 26.4 °C, the value of TSS 16 - 88 mg/l, the value of TDS 93.1 - 398 mg/l, pH ranges from 6.64 – 6.96, the value of DO 0.3 – 3.72 mg/l, and the value of BOD 19.83 - 102 mg/l. The total concentration of coliform at the point 1, point 4 and point 5 include the water quality standard, while at the other point it has exceeded the required threshold. Pathogenic E. Coli at the point 1, point 3, point 5, point 6 and point 7 obtained negative value (-), while at the point 2 and point 4 obtained positive value (+).

[1]. Akkaraboyina Mahesh Kumar, Raju B.S.N., "A Comparative Study of Water Quality Indices of River Godavari," International Journal of Engineering Research and Development, vol. 2, pp. 29–34, July. 2012.
[2]. Anonymus, "Peraturan Pemerintah Nomor 82 Tahun 2011 Tentang Pengelolaan Kualitas Air dan Pengendalian Pencemaran Air," Kementerian Kesehatan, Jakarta, 2011.
[3]. Arsyad S., "Konservasi Tanah dan Air," IPB Press, Bogor, 1989.
[4]. Effendi H., "Telaah Kualitas Air Bagi Pengelolaan Sumber Daya Air dan Lingkungan," Kanisius, Yogyakarta, 2003.
[5]. Ling T.Y., Dana M.J., Bostam S., Nyanti L. "Domestic Wastewater Quality and Pollutant Loadings from Urban Housing Areas," Iranica Journal of Energy and Environment," vol 3(2), pp. 129–133, 2012.

Quality management is most important consideration in any infrastructure construction project. The paper constitutes about the quality management practices of infrastructure construction projects. Indian government declares schemes and policies for growth in quality of construction work. The main aim of this research is to achieve high quality of construction work and give most advantageous quality of infrastructure to society and also encounter the requirements of all the interested parties of the infrastructure projects. Little research work was done and studied for finding applied problems of quality management in a practical and current situation of an infrastructure project. Analysis and conclusions from a questionnaire survey and data analysis were done from the quality audits, problems pertaining to contractor‟s quality management in projects of the infrastructure.

[1]. AbukarWarsame (2013), "Framework for Quality Improvement of Infrastructure Projects", Journal of Civil Engineering and Architecture, ISSN 1934-7359,Volume 7, Issue 12, PP: 1529-1539
[2]. AnupWS, Arun Kumar H, SNA Saqhi (2015), "Study of Quality Management System in Construction", International Research Journal of Engineering and Technology (IRJET), e-ISSN: 2395 -0056, Volume 02, Issue 02, PP: 462-467
[3]. D.Ashok kumar(2014),"Study of Quality Management in Construction Industry", International Journal of Innovative Research in Science, Engineering and Technology, ISSN: 2319-8753, Volume 3, Issue 1, PP: 36-43
[4]. David Arditi and H Murat Gunaydin (1997), "Total quality management in the construction process", International Journal of Project Management, PII: S0263-7863(96)00076-2, Volume15, Issue4, PP: 235-243
[5]. Daniel W M Chan and Mohan M Kumaraswamy (1997), "A comparative study of causes of time overruns in Hong Kong construction projects", International Journal of Project Management, Vol. 15, No. 1, PP: 55-63

This study describes a possibility of a development of the heat transfer enhancement technique on heating components such as electrical devices mounted in electronic enclosure by applying the pulsating airflow through 3D-CFD (Computational Fluid Dynamics) analysis. We especially investigated the effects of the dimensions of the heating prism mounted in the enclosure on the heat transfer performance of the pulsating airflow. It was found that the level of the heat transfer enhancement was dependent on the dimensions of the heating object. Information about doing the optimization of the condition of the flow pulsation for increasing the level of the heat transfer enhancement by the pulsating airflow.

[1]. Emerson Electric Co., "Energy Logic: Reducing Data Center Energy Consumption by Creating Savings that Cascade Across Systems", On the Web, http://www.emersonnetworkpower.com/documentation/en-US/Brands/ Knurr/Documents/Shared/Energy Logic – Reducing Data Center Energy Consumption by Creating Savings that Cascade Across Systems.pdf, accessed on Jun. 13th, 2016.
[2]. Saitoh, H, and Uchida, K., "Heat and Mass Transport Characteristics of Pulsating Flow in Rectangular Duct Part1. Effect of Pulsating Frequency on Heat Transfer of a Flat Plate Installed in the Duct (in Japanese)", Thermal Science & Engineering, Vol. 15, No. 4 (2007), 211-221.
[3]. Fukue, T., Hirose, K. and Yatsu, N., "Basic Study on Flow and Heat Transfer Performance of Pulsating Air Flow for Application to Electronics Cooling", Transactions of the Japan Institute of Electronics Packaging, 7-1 (2015), 123-131.

[4]. Fukue, T., Yatsu, N., Hirose, K. and Shirakawa, H., "Heat Transfer Characteristic of Pulsating Flow around Components in Thermal Equipment (Effects of Shapes of Components on Heat Transfer Coefficient) (in Japanese)", Proceedings of the 20th JSME National Symposium on Power and Energy Systems (2016), F132.

Vehicular Ad-hoc Network (VANET) facilitates road-side communication through moving vehicles assisted by thefixed base station and access points. Roadside communication enables mobile information sharing over remote places and enables Intelligent Transportation System (ITS). Network traffic in these systems increases delay, improper information dissemination besides additional re-routing process. The major re-routing process is caused due to the anomaly present in the network that is inadvertent at the time of neighbor selection. This manuscript proposes a precise neighbor selection based on communication intensity and distance behavior for detecting and mitigating the influence of the adversaries. Anomaly mitigation aids to improve network performance.Hence a comparative study is made to analyse statistical based and neighbourhood technique. The results are analysed which gives further improvement in detecting anamoly.

[1]. A. Fawzy, H. M. O. Mokhtar, and O. Hegazy, "Outliers detection and classification in wireless sensor networks," Egypt. Informatics J., vol. 14, no. 2, pp. 157–164, 2013.
[2]. N. Shahid, I. H. Naqvi, and S. Bin Qaisar, "Characteristics and classification of outlier detection techniques for wireless sensor networks in harsh environments: a survey," Artif. Intell. Rev., vol. 43, no. 2, pp. 193–228, 2012.
[3]. N. Zhang, Meratnia and P. Havinga, "Outlier Detection Techniques for Wireless Sensor Networks: A Survey," IEEE Commun. Surv. Tutorials, vol. 12, no. 2, pp. 159–170, 2010.
[4]. O. Ghorbel, W. Ayedi, H. Snoussi, and M. Abid, "Fast and efficient outlier detection method in wireless sensor networks," IEEE Sens. J., vol. 15, no. 6, pp. 3403–3411, 2015.
[5]. A. Abid, A. Kachouri, and A. Mahfoudhi, "Outlier detection for wireless sensor networks using density-based clustering approach," IET Wirel. Sens. Syst., vol. 7, no. 4, pp. 83–90, 2017.

Computer vision is an advanced inspection innovation that has been applied in different fields. However, it isn't as generally utilized as a part of aquaculture. It is very challenging in underwater video to identify the fish species; the inspected fishes are sensitive, easily stressed and permitted to move in environment in which lighting, perceivability are the most part is not controllable. The proposed framework is to classify the fish species from videos captured by underwater cameras. First, extracted the foreground fish by background subtraction Model. Then, a Local Binary Pattern (LBP) technique used to get the texture of a fish. Then, for the fish texture, applied the method of Moment-Invariants (MI) coupled with geometrical concern and used to be accordingly invariant to scale of a fish, two dimensional fish orientation and location in the view of camera...............

[1]. European Commission (2009) "A sustainable future for transport: Towards an integrated, technology-led and user friendly system", EU COM (2009) 279 final, Luxembourg.
[2]. Strachan, N.J.C., 1994. Sea trials of a computer vision-based fish species sorting and size grading machine. Mechatronics 4 (8), 773–783.
[3]. EC, 1986. Commission Regulation 3703/85, Common Fisheries Policy, Community Grading Rules. A guidance note for the fishing industry. Issued by the UK Fisheries Departments.
[4]. Storbeck, F., Daan, B., 2001. Fish species recognition using computer vision and a neural network. Fisheries Research 51 (1), 11–15.
[5]. White, D.J., Svellingen, C., Strachan, N.J.C., 2006. Automated measurement of species and length of fish by computer vision. Fisheries Research 80 (2–3), 203– 210