Chan RL

Phyton-International Journal of Experimental Botany, Vol.78, pp. 5-10, 2009, DOI:10.32604/phyton.2009.78.005

Abstract Transcription factors (TFs) are proteins able to specifically recognize DNA sequences in the regulatory regions of their target genes. They bind these specific sequences, an event that leads to the activation or repression of whole signal transduction pathways. In plants about 1500 TFs were informatically identified; identification was mainly based in the presence of DNA-binding domains in the translated sequences. They were classified in families and subfamilies according to several features, including the conservation of the DNA binding domain, the genes structures and the functions they exert. Among transcription factors, several seem to be potential… More >

N.H.M. Kamrujjaman Serker¹, Zhishen Wu

Structural Durability & Health Monitoring, Vol.5, No.2, pp. 87-108, 2009, DOI:10.3970/sdhm.2009.005.087

Abstract This paper presents the study on the temperature sensitivity of some vibration-based damage identification techniques. With the help of a simple supported beam with different damage levels, reliability of these techniques for damage identification in a changing environmental temperature condition was investigated. The temperature effect was considered as the change in modulus of elasticity of the material. The techniques evaluated herein are based on measured modal parameters which use only few mode shapes and/or modal frequencies of the structure that can easily be obtained by dynamic tests. The effect of temperature on identification of different More >

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 >