F. Keissarian¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.12, No.4, pp. 137-144, 2009, DOI:10.3970/icces.2009.012.137

Abstract In this paper, a new image compression technique is proposed in which variable block size technique is adopted, using quadtree decomposition, for coding images at low bit rates. The proposed algorithm decomposes the host image into blocks of variable sizes according to histogram analysis of the block residuals. Variable block sizes are then encoded at different rates based on their visual activity levels. To preserve edge integrity, a high-detail block is coded by a set of parameters associated with the pattern appearing inside the block. The use of these parameters at the receiver together with More >

Jong-Jae Lee, Jong-Woong Park, Young-Soo Park, Hyung-Jo Jung

The International Conference on Computational & Experimental Engineering and Sciences, Vol.12, No.3, pp. 92-92, 2009, DOI:10.3970/icces.2009.012.092

Abstract Measuring the displacement of a flexible bridge is difficult particularly on a long span bridge. In this study, real-time displacement measurement of a long span bridge was carried out using digital image processing techniques which require a target recognition algorithm, projection of the captured image, and calculation of the actual displacement using target geometry and the number of pixels moved. To measure the displacement of a bridge from a distant location which can be regarded as a fixed reference point, a novel image processing method has been devised. By measuring the same target with two More >

Yong Huang¹, Hui Li¹, Jinping Ou^1,2

The International Conference on Computational & Experimental Engineering and Sciences, Vol.12, No.2, pp. 53-64, 2009, DOI:10.3970/icces.2009.012.053

Abstract A new damage identification method based on Fractal theory and wavelet packet transform is presented in the paper. The damage identification method utilize frequency-based domain message, time-based domain message and space based domain message effectively. NeXT method were first employed to reduce loading effect of random vibration measured from structures and then the vibration sinal were decomposed into the certain level wavelet packet components. For every time array of wavelet packet component then need to calculate the mean FD values as the ultimated FD values to reduce noise effect. The location of damage in the… More >

Radu Mihai Iacob¹, Emil Budescu², Virgil Atanasiu²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.11, No.3, pp. 81-83, 2009, DOI:10.3970/icces.2009.011.081

Abstract This article has no abstract. More >

Mun Seung Jung¹, Oh Joon Kwon²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.11, No.3, pp. 77-78, 2009, DOI:10.3970/icces.2009.011.077

Abstract This article has no abstract. More >

C.C. Chia¹, S.G. Jang¹, J.R. Lee², D.J. Yoon²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.11, No.2, pp. 29-30, 2009, DOI:10.3970/icces.2009.011.029

Abstract An ultrasonic propagation imaging (UPI) system consisted of a Q-switched Nd-YAG pulsed laser with 20 Hz-repetition rate and a motorized tilting mirror system for rapid scanning of target was developed. The system which requires neither reference data nor fixed focal length could be used for health monitoring of curved structures. If combined with a fiber acoustic wave PZT (FAWPZT) sensor, it could be used to perform inspection on hot target structures, which present formidable challenges to the usage of contact piezoelectric transducers mainly due to the Curie temperature limitation of transducers and debonding problem due… More >

Chowhan S.S.¹, G.N. Shinde²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.9, No.1, pp. 67-74, 2009, DOI:10.3970/icces.2009.009.067

Abstract Feature selection, often used as a pre-processing step to machine learning, is designed to reduce dimensionality, eliminate irrelevant data and improve accuracy. Iris Basis is our first attempt to reduce the dimensionality of the problem while focusing only on parts of the scene that effectively identify the individual. Independent Component Analysis (ICA) is to extract iris feature to recognize iris pattern. Principal Component Analysis (PCA) is a dimension-reduction tool that can be used to reduce a large set of variables to a small set that still contains most of the information in the large set. More >

H.S. Fadewar¹, S.B. Jagtap¹, G.N.Shinde²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.9, No.1, pp. 57-66, 2009, DOI:10.3970/icces.2009.009.057

Abstract Data Mining (DM) techniques are well-known for providing flexible and efficient analytical tools for data processing. In this paper, we propose intelligent data control system design and specifications as an example of DM application in marketing data processing. E-Marketing businesses are using Data Mining to identify patterns in customers' buying behavior; identify profitable customer segments; increase marketing return rates; prevent loss of valuable customers; estimate credit risk; identify fraudulent activity and much more. More >

Victor Hugo Costa de Albuquerque¹, Tarique da Silvira Cavalcante², Pedro Pedrosa Rebouças Filho², João Manuel R. S. Tavares¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.9, No.1, pp. 23-24, 2009, DOI:10.3970/icces.2009.009.023

Abstract Mechanical tests for measurement of hardness are fundamental to evaluate some metallic materials properties, like wear resistance, ductility and flow tension. The manual process for hardness measurement is very interpretive and subjective, as the reading of needed values (diameters or diagonals) of the indenter on the material in test depends directly on operator's viewpoint (parallax effect), appropriate calibration of test machine and operator's experience. Additionally, one must notice that operator's fatigue or tiredness, due to a high number of tests done, is highly prone to measurement errors. \newline In this context, the main goals of More >

Abdurazzag Ali Aburas¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.9, No.1, pp. 1-2, 2009, DOI:10.3970/icces.2009.009.001

Abstract The typical Optical Character Recognition (OCR) systems, regardless the character's nature, are based mainly on three stages, preprocessing, features extraction and discrimination (recognizer). Each stage has its own problems and effects on the system efficiency such as time consuming and recognition errors. In order to avoid these difficulties this talk presents new construction of OCR system without pre-processing, features extraction and classifier for any handwriting characters using standard and advanced Image Compression techniques. The proposed algorithms obtained promising results in terms of accuracy as well as in terms of time consuming. More >