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Issue 2, Volume 7, February 2008
Print ISSN: 1109-2750
E-ISSN: 2224-2872








Title of the Paper:  An Algorithm Based on Core Characteristic Extraction of Watermelon


Authors: Yong Sun, Yun Bai, Lihong Gang, Qiangguo Pu, Nikos Mastorakis

Abstract: The algorithm of extracting a series of characteristic values, taking the flat objects, seeds, as the experiment is applied into the auto-distinguishing seeds system software successfully. It fulfills the blank in this area. It shows it is practical for the machine to distinguish the flat objects with the equipment visual. It designs and realizes the new algorithm of the length of orthogonal long and minor axis, the degree of connecting superficial pattern and the area; brings forward the concept of the coverage degree of black region and the way to distinguish different colorful objects with the distribution difference of histogram gradation. The system software has a very bright future. It is meaningful to the distinguishing objects areas. 

long and short axis, the degree of connecting surface patterns, the coverage degree of black region, core characteristic extraction, watermelon seeds

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Title of the Paper: Fast Pre-authentication with Minimized Overhead and High Security for WLAN Handoff


Authors: Hung-Yu Chien, Tzu-Hang Hsu and Yuan-Liang Tang

Abstract: User mobility in WLANs becomes more and more popular because of wide deployment of WLANs and numerous applications on it. Some of these applications, for example multimedia applications, require fast handoffs among access points to maintain the quality of service. In order to support multimedia applications for roaming users, IEEE 802.11i defines pre-authentication to reduce the re-authentication delay. The primary drawback of IEEE 802.11i pre-authentication is that the full 802.1x/EAP authentication consumes too much overhead. In this paper, we propose a new fast pre-authentication scheme that greatly improves the efficiency and achieves high security level.

Keywords: Pre-authentication, fast handoff, wireless security, IEEE 802.11i.  

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Title of the Paper: Fractional Fourier Transform Based Key Exchange for Optical Asymmetric Key Cryptography


Authors: Aloka Sinha

Abstract: Recently several optical encryption techniques have been proposed for two-dimensional data. These techniques use random phase masks, jigsaw transforms, digital signatures, and linear transforms like the Fourier transforms, the fractional Fourier transform and the Fresnel transform. The strength of these encryption techniques is dependent on the size of the key but is strongly limited by the security linked with the exchange of the secret key. We propose a new technique, based on the Diffie-Hellman protocol, in which the key can be exchanged with high security. The Diffie-Hellman protocol allows two users to exchange a secret key over an insecure channel without any prior secrets. Fractional Fourier transforms have been used for the secure key transfer. Results of computer simulation are presented to verify the proposed idea and analyse the robustness of the proposed technique.

Keywords: Fractional Fourier Transform, Optical encryption, Public key encryption, Diffie-Hellman protocol, Fourier Transform, cryptography

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Title of the Paper: Increase The Efficiency of English-Chinese Sentence Alignment: Target Range Restriction and Empirical Selection of Stop Words 


Authors: Wing-Kwong Wong, Hsi-Hsun Yang, Wei-Lung Shen, Sheng-Kai Yin, and Sheng-Cheng Hsu

Abstract: In this paper, we use a lexical method to do sentence alignment for an English-Chinese corpus. Past research shows that alignment using a dictionary involves a lot of word matching and dictionary look ups. To address these two issues, we first restrict the range of candidate target sentences, based on the location of the source sentence relative to the beginning of the text. Moreover, careful empirical selection of stop words, based on word frequencies in the source text, helps to reduce the number of dictionary look ups. Experimental results show that the amount of word matching can be cut down by 75% and that of dictionary look ups by as much as 43% without sacrificing precision and recall. Another experiment was also done with twenty New York Times articles with 598 sentences and 18395 words. The resulted precision is 95.6% and the recall is 93.8%. Among all predicted alignment, 86% of the alignment is 1:1 (one source sentence to one target sentence), 8% is 1:2, and 6% is 2:1. Further analysis shows that most errors occur in alignments of types 1:2 and 2:1. Future work should focus on problems with these two alignment types.

Keywords: Sentence alignment, lexical method, statistical method, English-Chinese corpus, stop words, target range. 

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Title of the Paper: TEMPLUM: A Process Adapted Numerical Simulation Code for The 3D Predictive Assessment of Laser Surface Heat Treatments in Planar Geometry


Authors: A. García-Beltrán, J. L. Ocaña and C. L. Molpeceres

Abstract: A process adapted numerical simulation code for the 3D predictive assessment of laser heat treatment of materials has been developed. Primarily intended for the analysis of the laser transformation hardening of steels, the code has been successfully applied for the predictive characterization of other metallic and non metallic materials posing specific difficulties from the numerical point of view according to their extreme thermal and absorption properties. Initially based on a conventional FEM calculational structure, the developed code (TEMPLUM) reveals itself as an extremely useful prediction tool with specific process adapted features (not usually available in FEM heat transfer codes) in the field of laser heat treatment applications.

Keywords: Numerical analysis; Finite element; Modeling; Simulation; Heat conduction; Laser surface treatments; Transformation hardening; Optical glass polishing. 

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