Advances in Computing and Communications: First by Prathuri Jhansi Rani, S. Durga Bhavani (auth.), Ajith

By Prathuri Jhansi Rani, S. Durga Bhavani (auth.), Ajith Abraham, Jaime Lloret Mauri, John F. Buford, Junichi Suzuki, Sabu M. Thampi (eds.)

This quantity is the 3rd a part of a four-volume set (CCIS a hundred ninety, CCIS 191, CCIS 192, CCIS 193), which constitutes the refereed lawsuits of the 1st foreign convention on Computing and Communications, ACC 2011, held in Kochi, India, in July 2011. The 70 revised complete papers provided during this quantity have been carefully
reviewed and chosen from a great number of submissions. The papers are equipped in topical sections on defense, belief and privateness; sensor networks; sign and photo processing; smooth computing ideas; procedure software program; vehicular communications networks.

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Extra info for Advances in Computing and Communications: First International Conference, ACC 2011, Kochi, India, July 22-24, 2011, Proceedings, Part III

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Meena S. Maralappanavar, K. Pramod, and K. Linganagouda 444 Multi-algorithm Fusion for Speech Emotion Recognition . . . . . . . Gyanendra K. S. Tiwary, and Shaishav Agrawal 452 Combining Chain-Code and Fourier Descriptors for Fingerprint Matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . Z. Geevar and P. Sojan Lal 460 Facial Emotion Recognition Using Different Multi-resolution Transforms . . . . .

Kamil Dimililer and Cemal Kavalcioˇglu Image Processing Techniques for Glaucoma Detection . . . . . . . . R. Nirmala, and Dandapat Samerendra Transmitter Preprocessing Assisted MIMO SDMA Systems over Frequency-Selective Channels . . . . . . . . . . . . . . . . . . . Shriram Swaminathan, Suraj Krishnan, and Prabagarane Nagaradjane A Fuzzy Neuro Clustering Based Vector Quantization for Face Recognition . . . . . . . . . . . . . . . . . . .

The thread polling this queue sends the message to the window procedure of the active window. This kind of messaging mechanism works for other events like mouse messages [1]. There are three main methods for developing keylogger systems: 1. 2. 3. The Keyboard State Table method The Windows Keyboard Hook method The Kernel-Based Keyboard Filter Driver method [1] Fig. 1. Keyboard State Table method [1] Fig. 2. Windows Keyboard Hook method [1] Fig. 3. Kernel-Based Keyboard Filter Driver method An In-Depth Analysis of the Epitome of Online Stealth 13 Stealth More challenging for the keyloggers, is the goal of remaining hidden.

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