Prakash Thamburaja

The International Conference on Computational & Experimental Engineering and Sciences, Vol.20, No.3, pp. 79-80, 2011, DOI:10.3970/icces.2011.020.079

Abstract Some recent experiments on sub-micron and nano-sized metallic glass specimens have shown that the shear localization process becomes more stable and less catastrophic when compared to the response exhibited by large sample sizes. This leads to the discovery that the shear localization process and fracture can be delayed by decreasing sample volume. In this work we develop a non-local and finite-deformation-based constitutive model using thermodynamic principles and the theory of micro-force balance to study the causes for the aforementioned observations. The constitutive model has also been implemented into a commercially-available finite-element program by writing a user-material subroutine. With the aid… More >

I.A. Miklashevich¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.15, No.4, pp. 145-152, 2010, DOI:10.3970/icces.2010.015.145

Abstract The simple analytical model for the energy flux by the earthquake is proposed. The energy flux can be evaluated through the Umov-Pointing vector by the rupture propagation in media. Discontinuity of vector components is found. This discontinuity cause the change of an energy flow direction and localization of the energy field. 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 to the mismatch of coefficient… More >

A.L. Chen, Y.S. Wang¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.5, No.4, pp. 239-244, 2008, DOI:10.3970/icces.2008.005.239

Abstract Band gaps and localization phenomenon for both in-plane and anti-plane elastic waves propagating in 2D ordered and disordered phononic crystals are studied in this paper. The localization of wave propagation due to random disorder is discussed by introducing the concept of the localization factor which is calculated by the plane-wave-based transfer-matrix method. More >

X. Liu, A. Scarpas¹

CMES-Computer Modeling in Engineering & Sciences, Vol.9, No.1, pp. 57-74, 2005, DOI:10.3970/cmes.2005.009.057

Abstract Numerical investigations of strain localization have been performed on 3D dense fully saturated sand specimens subjected to triaxial loading and simultaneous inflow or outflow conditions. The role of the water suction field on the formation and evolution of strain localization is addressed computationally. It has been shown that, in a porous medium, the fluid (water) phase plays indeed an important role in strain localization. The formation and evolution of strain localization are influenced both by the material behaviour of the solid component and the interaction between components. In this contribution, after a presentation of the incremental formulation of the coupled… More >

Ruijiao Yin¹, Jie Yang^1,*

Journal on Artificial Intelligence, Vol.1, No.1, pp. 37-44, 2019, DOI:10.32604/jai.2019.05815

Abstract Based on the understanding of machine vision localization technology at home and abroad, this paper outlines the overall design of the system, and analyses the working principle and workflow of the robot with vision system in workpiece grinding. The hardware design of the system is introduced. The process of image processing is analyzed in detail, and the results of image processing are given. The basic parameters of camera imaging are taken as internal parameters. The camera calibration is obtained by rotation matrix R and translation parameter T. The coordinate transformation of camera coordinate system and world coordinate system is analyzed.… More >

Jinwei Wang^1,*, Yangyang Li²

Journal of Information Hiding and Privacy Protection, Vol.1, No.2, pp. 77-86, 2019, DOI:10.32604/jihpp.2019.07186

Abstract With the rapid development of information technology, digital images have become an important medium for information transmission. However, manipulating images is becoming a common task with the powerful image editing tools and software, and people can tamper the images content without leaving any visible traces of splicing in order to gain personal goal. Images are easily spliced and distributed, and the situation will be a great threat to social security. The survey covers splicing image and its localization. The present status of splicing image localization approaches is discussed along with a recommendation for future research. More >

Weijin Tan^1,*, Yunqing Wu¹, Peng Wu¹, Beijing Chen^1,2

Journal of New Media, Vol.1, No.1, pp. 11-25, 2019, DOI:10.32604/jnm.2019.06219

Abstract Digital images can be tampered easily with simple image editing software tools. Therefore, image forensic investigation on the authenticity of digital images’ content is increasingly important. Copy-move is one of the most common types of image forgeries. Thus, an overview of the traditional and the recent copy-move forgery localization methods using passive techniques is presented in this paper. These methods are classified into three types: block-based methods, keypoint-based methods, and deep learning-based methods. In addition, the strengths and weaknesses of these methods are compared and analyzed in robustness and computational cost. Finally, further research directions are discussed. More >

A. Joshuva¹, V. Sugumaran²

Structural Durability & Health Monitoring, Vol.13, No.2, pp. 181-203, 2019, DOI:10.32604/sdhm.2019.00287

Abstract Wind turbine blades are generally manufactured using fiber type material because of their cost effectiveness and light weight property however, blade get damaged due to wind gusts, bad weather conditions, unpredictable aerodynamic forces, lightning strikes and gravitational loads which causes crack on the surface of wind turbine blade. It is very much essential to identify the damage on blade before it crashes catastrophically which might possibly destroy the complete wind turbine. In this paper, a fifteen tree classification based machine learning algorithms were modelled for identifying and detecting the crack on wind turbine blades. The models are built based on… More >

Lin Zhou^1,*, Kangyu Ma¹, Lijie Wang¹, Ying Chen^1,2, Yibin Tang³

CMC-Computers, Materials & Continua, Vol.60, No.2, pp. 545-557, 2019, DOI:10.32604/cmc.2019.05969

Abstract Binaural sound source localization (BSSL) in low signal-to-noise ratio (SNR) and high reverberation environment is still a challenging task. In this paper, a novel BSSL algorithm is proposed by introducing convolutional neural network (CNN). The proposed algorithm first extracts the spatial feature of each sub-band from binaural sound signal, and then combines the features of all sub-bands within one frame to assemble a two-dimensional feature matrix as a grey image. To fully exploit the advantage of the CNN in extracting high-level features from the grey image, the spatial feature matrix of each frame is used as input to train the… More >