Paper Type	::	Research Paper
Title	::	Asparagus racemosus stem extract as corrosion inhibitor for mild steel in acid medium
Country	::	India
Authors	::	S.Ananth Kumar ||, A.Sankar ||, S.Rameshkumar, M.Vijayan
Page No.	::	01-05
	::	10.9790/3021-03920105
		0.4/3021-03920105
		3021-0309-0205

The effect of addition of Asparagus racemosus stem extract on the corrosion of steel in 0.5M H2SO4 acid has been studied by weight loss measurements, potentiodynamic polarization and Electrochemical Impedance Spectroscopy (EIS) measurements. The inhibition efficiency was found to increase with inhibitors content to attain 51.11% and 91.66% Asparagus racemosus stem extract and 25ppm TBAB respectively. Data obtained from EIS studies were analyzed to determinate the model inhibition process through appropriate equivalent circuit models. Inhibition efficiency E (%) obtained from the various methods is in good agreement.

 

Key words: - Inhibitor, Mass loss, Impedance, Polarization, Asparagus racemosus

[1] Koch, G. H., Brongers, M. P. H., Thompson, N. G., Virmani, P., Payer, J.H. F.HWA-RD-01-156 (2001) [available at http://www.corrosioncost.com/pdf/main.pdf] accessed 20/03/2011.
[2] Faltermeier, R., AMT: A new corrosion inhibitor. B.Sc report, University College London, London (1992).
[3] Iannuzzi, M., Young, T., Frankel, G.S. Journal of the electrochemical society, 153 (2006) 533.
[4] Ralston, K.D. Chromate free corrosion inhibitors of aluminium alloys: Vanadates and anionic exchange
[5] clay pigments. Ph. D dissertation, Ohio State University, Ohio. (2008). Ahamad, I., Quraishi, M.A. Corros. Sci. 51 (2009) 2006.

Paper Type	::	Research Paper
Title	::	Evaluation of different GCM models and climate change scenarios using LARS_WG model in simulating meteorological data (Case study: Shiraz synoptic station, Fars Province, Iran)
Country	::	Iran
Authors	::	Seyed Amir Shamsnia ||, Nader Pirmoradian
Page No.	::	06-12
	::	10.9790/3021-03920612
		0.4/3021-03920612
		3021-0309-0212

In recent years, the topic of climate change in effect of greenhouse gases increase has been lionized in scientific studies. Hence the prediction and evaluation of meteorological parameters changes in effect of climate change is very important. LARS is a model that generates weather data and predicts weather parameters by downscaling general circulation models (GCM). In this study, in order to evaluate 15 GCM models performance in simulating the meteorological data of Shiraz station synoptic (2011-2012), statistical downscaling of each model under scenarios of approved climate change by the IPCC was performed by LARS model. The parameters of precipitation, radiation, minimum and maximum temperature were tested. The Results showed that for precipitation, downscaling INCM3 model had the best performance in terms of minimum error, under A1B scenario for radiation, , both GFCM21 and CSMK3 models had the best performance in terms of minimum error under A1B and B1 scenarios, respectively. The simulation results of minimum temperature with downscaling FGOALS model under B1 scenario indicated more accuracy than other models. For maximum temperature, both GIAOM and CSMK3 models had the best performance in terms of minimum error under A1B and B1 scenarios, respectively.

 

Keywords: - General circulation model, LARS, Statistical downscaling, Shiraz.

[1] Ashraf , B., Mousavi Baygi, M. Kamali, G.A. and Davari, K. Prediction of Seasonal Variations of Climatological Parameters over Next 20 Years by Using Statistical Downscaling Method of HADCM3 Data (Case Study: Khorasan Razavi Province). Journal of Water and Soil. 25(4), 2011, 945-957.

[2] Babaeian, I., Najafi-nik, Z., Zabol Abbassi, F., Habibi Nokhandan, M., Adab, H. and Malbousi, H. Climate Change Assessment over Iran During 2010-2039 by Using Statistical Downscaling of ECHO- G Model. Geography and Development Journal, 16, 2009, 135-152.

[3] Bazrafshan, J., Khalili, A., Hoorfar, A., Torabi, S. and Hajjam, S. Comparison of the Performance of ClimGen and LARS-WG Models in Simulating the Weather Factors for Diverse Climates of Iran. Iran-Water Resources Research, 5(1), 2009, 12-14.
[4] IPCC 4th Assessment Report. See also URL http://www.IPCC.ch. 2007

[5] Meshkati, A.H., Kord-jazi. And Babaeian, I. 2010. Evaluation of LARS Model in Simulating Meteorology Data of Golestan Province in 1993-2007. Geographical Science Applied Research Journal, 16(19), 2007, 81-96.

Paper Type	::	Research Paper
Title	::	Censored Discovery in Wireless Device Nets
Country	::	India
Authors	::	G. Veeranagamma ||, J. Balanjaneyulu
Page No.	::	13-16
	::	10.9790/3021-03921316
		0.4/3021-03921316
		3021-0309-0216

In this paper; we consider the problem of detecting cuts by the remaining nodes of a wireless sensor network. Network partitioning is a form of network failure. A single connected network topology breaks apart into two or more network topologies separated from each other. An algorithm which enables each node in the network to detect whether a cut has occurred anywhere in the network is demonstrated. The algorithm is based on the iterative computation of a fictitious "electrical potential" of the nodes. The algorithm specifies that every node to detect when the connectivity to a specially designated node has been lost.

 

Index Terms: - Sensor networks, partition detection, Distributed Cut Detection, Wireless Sensor Networks.

[1] G. Dini, M. Pelagatti, and I.M. Savino, "An Algorithm for Reconnecting Wireless Sensor Network Partitions," Proc. European Conf. Wireless Sensor Networks, pp. 253-267, 2008.

[2] N. Shrivastava, S. Suri, and C.D. To´ Th, "Detecting Cuts in Sensor Networks," ACM Trans. Sensor Networks, vol. 4, no. 2, pp. 1-25, 2008.

[3] H. Ritter, R. Winter, and J. Schiller, "A Partition Detection System for Mobile Ad-hoc Networks," Proc. First Ann. IEEE Comm. Soc. Conf. Sensor and Ad Hoc Comm. and Networks (IEEE SECON ‟04), pp. 489-497, Oct. 2004.

[4] M. Hauspie, J. Carle, and D. Simplot, "Partition Detection in Mobile Ad-Hoc Networks," Proc. Second Mediterranean Workshop Ad-Hoc Networks, pp. 25-27, 2003.

[5] P. Barooah, "Distributed Cut Detection in Sensor Networks," Proc. 47th IEEE Conf. Decision and Control, pp. 1097-1102, Dec. 2008.

Paper Type	::	Research Paper
Title	::	Sectional Parametric Design and Aerodynamic Performance Estimation In Small Aircraft
Country	::	USA
Authors	::	Yesuenyeagbe A.K. Fiagbe ||, Fredrick Ferguson ||, Lawrence E. Ansong
Page No.	::	17-24
	::	10.9790/3021-03921724
		0.4/3021-03921724
		3021-0309-0224

Small aircraft in the form of personal or remote controlled aircraft design could be approached in such a way as to derive optimum performance for any configuration that may be developed for given mission. In practice, the aerodynamic performance is estimated from the coefficients obtained due to the chosen wing profile. However, it can be envisioned that every section of the configuration could contribute to the aerodynamic forces. In this paper a technique or method that takes into account the contribution of all sections of the configuration with the aim of improving the accuracy of the evaluation of the aircraft performance is developed. The concept of the method is built on object oriented technique. Input parameters comprise of two kinds, namely, fixed and design parameters. The output gives the geometry and performance characteristics of the aircraft. The performance is modelled as integral function over the surface and results in Lift and Drag forces. The lift performance of models with same wing profile indicated that fuselage components also contributed, about 10% at 2o angle of attack, toward the overall lift force. The total lift and drag estimates of an aircraft using the developed system is more accurate than using estimates from the wing alone.

 

Key Words: - Parametric design, Performance, small Aircraft, Lift, Drag

[1] Anderson Jr, John D., (2005), "Fundamentals of Aerodynamics", McGraw-Hill Companies, Inc., New York
[2] Anderson Jr, John D., (1995), "Computational Fluid Dynamics: The Basics with Applications", McGraw-Hill Companies, Inc., New York
[3] Antoine, Nicolas E. and Kroo, Ilan M. (2005), "Framework for Aircraft Conceptual Design and Environmental Performance Studies", AIAA JOURNAL, Vol. 43, No. 10, October 2005
[4] David L. Rodriguez and Peter Sturdza, (2006), "A rapid Geometry Engine for Preliminary Aircraft Design", 44th AIAA Aerospace Sciences Meeting and Exhibit, 9 – 12 January 2006, Reno, Nevada.
[5] Gloudemans, J. R., Davis, Paul C., and Gelhausen, Paul A., (1996), "A rapid geometry modeler for Conceptual Aircraft", AIAA-1996-0052, January, 1996

Paper Type	::	Research Paper
Title	::	A theoretical and practical study for the incident solar radiation intensity in the Basrah province (south of Iraq)
Country	::	Iraq
Authors	::	Asaad Rehman Saeed Al-Hilphy
Page No.	::	25-35
	::	10.9790/3021-03922535
		0.4/3021-03922535
		3021-0309-0235

A theoretical and practical study was conducted to the incident solar radiation intensity on a horizontal surface and another making an angle 30o with the horizontal at Basra province, Iraq, during the years 2006 and 2011. The results showed that the intensity of solar radiation increased significantly (p<0.05) as daylight hours increasing reaching a maximum value of 740 `W/m2 at midday and then decreased after that. This was found to be the trend throughout all months of the two years of our investigation. The intensity of solar radiation varied from one month to another. In addition, the solar radiation falling on the inclined surface is higher than that falling on a horizontal surface. The study also found that there was a significant difference in the intensity of solar radiation between 2006 and 2011. Empirical equations of the fourth order were developed to predict the incident solar radiation on a horizontal, as well as another inclined surface in the Basra province (south of Iraq)

 

Keywords: solar radiation, Basrah, horizontal surface.

[1] P. J. Lunde. Solar thermal engineering . Willey , New York . (1980).
[2] Z. Lu, Piedrahita RH, Neto. CDS Generation of daily and hourly solar radiation values for modeling water quality in aquaculture ponds. Transactions of the ASAE, 41(6):1853–9. (1998).
[3] MA. Machler, Iqbal M. A modification of the ASHRAE clear-sky irradiation model. ASHRAE , Transactions, 91(1a):106–15. (1985).
[4] TJ. Cartwright. Here comes the Sun: solar energy from a flat-plate collector. In: Modeling the worldin a spreadsheet-environmental simulation on a microcomputer. London: The Johns Hopkins University Press, p. 121–44. (1993).
[5] J. H. Trujillo. Solar performance and shadow behaviour in buildings — case study with computer modelling of a building in Loranca, Spain. Building and Environment. 33(2-3):117–30. (1998).

Paper Type	::	Research Paper
Title	::	Image Extraction using Image Mining Technique
Country	::	India
Authors	::	Prof. Samir Kumar Bandyopadhyay ||, Mrs. Sayantani Ghosh
Page No.	::	36-42
	::	10.9790/3021-03923642
		0.4/3021-03923642
		3021-0309-0242

Image Mining, an evolutionary approach of Data Mining is a technique to extract previously unknown information hidden within an image. It is concerned with knowledge discovery, image data association, and additional patterns which are not clearly accumulated in the image. Thus the primary objective of mining is to generate all significant patterns without prior information of the patterns. Image Mining is used in variety of fields like medical diagnosis, space research, remote sensing, and agriculture industries and even in educational field. This paper primarily focuses on image manipulation and extraction of requisite information using image mining technique. An attempt has been made to perform different computation on images like computation of standard deviation, cross- correlation coefficient to measure degree of similarity between images, and image segmentation by Thresholding. These operations are accomplished by using different functions available in Matlab.

 

Keywords: - True colour Image, Greyscale Image, Image Mining, Image Processing, Standard Deviation, Cross- Correlation, Image Segmentation, and Thresholding.

[1] www.iiste.org/Journals/index.php/CEIS/article/download/514/398?
[2] www.ijcset.com/docs/IJCSET12-03-12-027.pdf?
[3] https://smartech.gatech.edu/bitstream/handle/1853/6632/GIT-CC-98-12.pdf;jsessionid=D3CB7D12F22 509 D258EC4C48288FD18C.smart1?sequence=1
[4] http://www.iis.sinica.edu.tw/page/jise/2009/200907_02.pdf
[5] http://www.ece.uvic.ca/~aalbu/computer%20vision%202010/L7.%20Image%20Processing%20for%20feature%20extraction.%20Introduction%20.pdf

Paper Type	::	Research Paper
Title	::	A Turnkey Solution for A VSTLF Model Using Artificial Neural Networks and Microcontrollers
Country	::	South Africa
Authors	::	G. Manuel
Page No.	::	43-49
	::	10.9790/3021-03924349
		0.4/3021-03924349
		3021-0309-0249

Neural networks are by nature parallel computational algorithms used to address two types of problems. Namely the classification problem and forecast problem. The availability of low cost and high speed microcontrollers with peripheral rich features, specifically peripherals in support of communication mediums have led to a more feasible implementation of the neural network paradigm to address the very short term load forecast problem. The paper proposes a turnkey solution incorporating a neural network algorithm onto a microcontroller platform to address a very short term load forecast problem.

 

Keywords: - Artificial Neural Networks, Feedforward, Backpropogation, Microcontroller, Short Term Load Forecast

[1] 1. Neural classification approach for short term forecast of exchange rate movement with point and figure task. Stahlbock, R. s.l. : IEEE IJCNN, 2008.
[2] 2. Forecasting with artificial neural networks: The state of the art. Guoqiang, Zhang, Patuwo, B Eddy and Hu, Michael Y. 1, s.l. : International Journal of Forecasting, 1998, Vol. 14.
[3] 3. Weather sensitive short term load forecasting using nonfully connected artificial neural network. Chen, S, Moghaddamjo, A R and Yu, D.C. 3, s.l. : IEEE Transactions in Power Systems, Vol. 7.
[4] 4. Forecasting Portugal global load with artificial neural networks. Fidalgo, J Nuno and Matos, A Manuel. s.l. : ICANN 2007: Lecture notes in Computer Science, Vol. 4669.
[5] 5. Short term load forecasting for the holidays using fuzzy linear regression method. Song, Kyung-Bin, et al. 1, s.l. : IEEE Transactions on Power Systems, Vol. 20.

Paper Type	::	Research Paper
Title	::	Automatic Recognition of Offline Handwritten Urdu Digits In Unconstrained Environment Using Daubechies Wavelet Transforms
Country	::	India
Authors	::	Imtiyaz Ahmed Ansari ||, Dr. R. Y. Borse
Page No.	::	50-56
	::	10.9790/3021-03925056
		0.4/3021-03925056
		3021-0309-0256

This paper presents an optical character recognition system for the handwritten Urdu Digits. A lot of work has been done in recognition of characters and numerals of various languages like Devanagari, English, Chinese, and Arabic etc. But in case of handwritten Urdu Digits very less work has been reported. Different Daubechies Wavelet transforms are used in this work for feature extraction. Also zonal densities of different zones of an image have been used in the feature set. In this work, 200 samples of each digit have been used. The back propagation neural network has been used for classification. An average recognition accuracy of 92.07% has been achieved.

 

Keywords: - Handwritten Digits, Daubechies, Wavelet Transforms, Feature Extraction, Zonal Densities

[1] G. Nagy. At the frontiers of OCR, Proceedings of IEEE, 80 (7), 1992, 1093–1100.
[2] S. Mori, C. Y. Suen, and K. Yamamoto, Historical review of OCR research and development, Proceedings of IEEE, 80(7), 1992, 1029–1058.
[3] ] R. Plamondon and S. N. Srihari. On-line and off-line handwriting recognition: A comprehensive survey. I EEE Trans. Pattern Anal. Mach. Intell, 22(1), 2000, 63–84.
[4] S. A. Husain, Asma Sajjad, Fareeha Anwar, "Online Urdu Character Recognition System", MVA 2007 IAPR Conference on Machine Vision Applications, Tokyo, JAPAN, May 16-18, 2007,
[5] Sabri A. Mahmoud and Sameh M. Awaida" RECOGNITION OF OFF-LINE HANDWRITTEN RABIC (INDIAN) NUMERALS USING MULTI-SCALE FEATURES AND SUPPORT VECTOR MACHINES VS. HIDDEN MARKOV MODELS", The Arabian Journal for Science and Engineering, Volume 34, Number 2B, October 2009.

Paper Type	::	Research Paper
Title	::	Quality-Based Sampling Test Design for Head Gimbal Assembly
Country	::	Thailand.
Authors	::	Visvas Lerswanichkul ||, Napassavong Rojanarowan
Page No.	::	57-64
	::	10.9790/3021-03925764
		0.4/3021-03925764
		3021-0309-0264

This paper has the objective to present the method to reduce the testing activities while maintaining quality. The new electronic sampling test of the Head Gimbal Assembly (HGA) is proposed to replace the current 100% testing method. The proposed sampling test uses the Discriminant Analysis (DA) technique to predict the testing result of the on-disc test for each HGA based on the variables from previous processes. If the prediction result shows "pass", the company should skip the testing of that HGA but if the prediction result shows "fail", the company should test that HGA as usual. It was found that the proposed sampling test could predict the results with 90.68% accuracy. If applying this new testing plan in the production, 90.83% of the HGAs could skip the on-disc test. As a result, the tester usage could be saved up to 10%.

 

Keywords: - Sampling Testing, Prediction, Discriminant Analysis, Head Gimbal Assembly, Hard Disk Drive

[1] N. Wongsin, J. Yunibhand, S. Suktakul, Discriminant analysis of relapse and non-relapse on Thai muslim schizophrenic patients, Chulalongkorn University, Bangkok, Thailand, 2012
[2] V. J. Harwood, J. Whitlock, V. Withington, Classification of antibiotic resistance patterns of indicator bacteria by discriminant analysis: use in predicting the source of fecal contamination in subtropical waters. Applied and Environmental Microbiology, 2000, 66(9), 3698-3704.
[3] H. Jo, I. Han, H. Lee, Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis. Expert Systems with Applications, 1997, 13.2: 97-108.
[4] J. Poulsen, A. French, Discriminant function analysis, San Francisco, CA, 2004
[5] B.G Tabachnick, L.S. Fidell, Using multivariate statistics. New York, NY, 1996
[6] Ş. Büyüköztürk, Ö. Çokluk-Bökeoğlu, Discriminant function analysis: concept and application. Eurasian Journal of Educational Research, 2008, 33, 73-92