Asian Transactions on Science & Technology

Volume: 02, Issue: 01, March 2012
ISSN 2221-4283

Title: Bangla Automatic Number Plate Recognition System using Artificial Neural Network
Authors: Md. Mahbubul Alam Joarder, Khaled Mahmud, Tasnuva Ahmed, Mohsina Kawser, and Bulbul Ahamed
Paper ID: ATST-30224014
Pages: 1 - 10
Abstract: Bangla automatic number plate recognition (ANPR) system using artificial neural network for number plate inscribing in Bangla is presented in this paper. This system splits into three major parts- number plate detection, plate character segmentation and Bangla character recognition. In number plate detection there arises many problems such as vehicle motion, complex background, distance changes etc., for this reason edge analysis method is applied. As Bangla number plate consists of two words and seven characters, detected number plates are segmented into individual words and characters by using horizontal and vertical projection analysis. After that a robust feature extraction method is employed to extract the information from each Bangla words and characters which is non-sensitive to the rotation, scaling and size variations. Finally character recognition system takes this information as an input to recognize Bangla characters and words. The Bangla character recognition is implemented using multilayer feed-forward network. According to the experimental result, (The abstract needs some exact figures of findings (like success rates of recognition) and how much the performance is better than previous one.) the performance of the proposed system on different vehicle images is better in case of severe image conditions.

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Authors: Ruminta
Paper ID: ATST-20214013
Pages: 11 - 27
Abstract: Water resources availability for meeting reservoir storages, water supply diversion and environmental in stream flow requirements must be assessed on various premises regarding future water used as well as climatic and hydrologic conditions. Reliable discharge predictions are particularly important for warning against dangerous flood and inundation. This study, therefore, investigates temporal dynamical model and predicts discharge in the Upper Citarum River Basin, West Java, Indonesia. The investigations and predictions based on pentad observations data of the rainfall, rainday, evapotranspiration, and discharge from January 1994 to December 2001. Modeling and prediction of the river discharge based on Adaptive Neuro-Fuzzy Inference System (ANFIS). A hybrid learning algorithm, which combines the least square method and the back propagation algorithm, is used to identify the parameters of the ANFIS. The rainfall, rainday, evapotranspiration, and discharge at time t-1 (one pentad before) should be included in the ANFIS input variables are determined by statistical methods, i.e. correlation coefficient between the that input variables and output variable or discharge at time t. Prediction of discharge was done for 1-pentad until 72-pertad ahead in orders to compare the models generalization at higher horizons. The results shows that temporal dynamical model of the discharge based on ANFIS can simulate the observations data successfully and provide high accuracy and reliability for river discharge prediction. The model is capable to minimize the bias and root mean squared error (RMSE=21.817 m3/sec.) and mean absolute percentage error (MAPE=2.05%). The model exhibits satisfactory agreements between observed and prediction data (r = 0.975). Prediction of river discharge has high precision (E=97.94%). The information gathered from the preliminary results provides useful information for flood early warning system design in which the magnitude and the timing of a potential extreme flood are indicated, for hydropower operation, and for improvement of an integrated water management in the Upper Citarum River Basin.

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Title: Spectroscopic Studies of a New Mixed Ligand Complex of Fe(III) with N,N-dimethyl-1,4phenylenediamine and Anthranilic Acid in Aqueous Media
Authors: Bakhtyar K. Aziz, Diary I. Tofiq, Dler M. Salih and Dastan K. Mahmood
Paper ID: ATST-50218016
Pages: 28 - 31
Abstract: Spectrophotometric studies of Fe(III) mixed ligand complex have been performed involving two different ligands namely N,N-dimethyl-1,4phenylenediamine as primary ligand (A) and 2-amino-benzoic acid as secondary ligand (B). The blue colored oxidation product, characterized by an absorption maximum around 520 nm. The final product has an absorption maximum at 677nm. The formation ratio of the new complex is determined to be 1:1:2 of Fe(III):(A):(B). The molar absorptivity constant was determined to be 4655. Stepwise spectrum change is recorded of the complex formation by continuous flow system. The time stability of the complex, dependence of the complex absorbance on pH and the influence of temperature were followed on the basis of spectrophotometric measurements.

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Title: Study of Annealing Effects of TiO2/CoO Core-Shell Thin Films Grown by Chemical Bath Deposition Technique.
Authors: D.U. Onah, C.E. Okeke and F.I. Ezema1
Paper ID: ATST-80204019
Pages: 32 - 39
Abstract: Core-shell thin films of TiO2/CoO have been grown by chemical bath deposition [CBD] technique. The core-shell of the films were synthesized from TiCl3 and NaOH with PVA as the complexing agent, while the shells were synthesized from CoCl2. 6H2O and NaOH with NH3 as the complexing agent. Spectrophotometric analysis, X-ray diffraction, scanning electron microscopic [SEM] analysis, have been used to study the films’ optical and solid state properties, crystal structures and morphology. The effects of annealing at different temperatures were studied. The optical transition in the films is direct one. For the as-deposited sample, the band gap determined is 1.8eV. The band gap of the films increased with increase in annealing temperatures with the range of 1.9eV to 2.3eV, resulting to band gap shift of 0.13eV, for annealed samples. These films could be used as solar cells. The time stability of the complex, dependence of the complex absorbance on pH and the influence of temperature were followed on the basis of spectrophotometric measurements.

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