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Titlebook: Recent Advances in Computer Science and Information Engineering; Volume 6 Zhihong Qian,Lei Cao,Huamin Yang Book 2012 Springer-Verlag GmbH B

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樓主: Orthosis
51#
發(fā)表于 2025-3-30 10:40:36 | 只看該作者
On Time-Domain Component of EBPSK Linear Power Spectrum and Its Structure,PSK time-domain component of linear power spectrum and its structure. By means of spectral analysis on periodic signal, Fourier expansion and relevant discussion, time-domain component of linear spectrum is obtained. Furthermore, a conclusion that both time-domain and frequency-domain component can
52#
發(fā)表于 2025-3-30 15:27:45 | 只看該作者
OTP-Based Hybrid Cipher Using for Mobile e-Learning,r presents a layered security fast encryption/decryption algorithm. Digital content confused by this proposed index and this research the operation of the stream-cipher encryption algorithms. The confusion index block is encrypted by the existing protection. The encryption and decryption can improve
53#
發(fā)表于 2025-3-30 19:50:41 | 只看該作者
54#
發(fā)表于 2025-3-31 00:02:35 | 只看該作者
55#
發(fā)表于 2025-3-31 04:05:23 | 只看該作者
56#
發(fā)表于 2025-3-31 08:56:36 | 只看該作者
A Solution of Diagnostic Ultrasound Server for Picture Archiving and Communication System,o that the data stream sharing and high-end processing is available in the server. Furthermore, existing medical equipments can be rebuilt to be more efficient and cost effective as medical terminal units.
57#
發(fā)表于 2025-3-31 13:16:07 | 只看該作者
Investigation of Improved Double Quantum Coherence Filter for Localized Detection of Brain ,-Aminobs were examined after numerical analysis of the editing performance. Excellent GABA signal retention at 3.01ppm was achieved and the spectral editing efficiency was approximately 40%. The suppressed Cr ratio and suppressed NAA ratio were 1118:1 at 3.0ppm and 1815:1 at 2.02ppm respectively.
58#
發(fā)表于 2025-3-31 13:39:18 | 只看該作者
59#
發(fā)表于 2025-3-31 20:52:18 | 只看該作者
60#
發(fā)表于 2025-3-31 21:41:09 | 只看該作者
Audio-Visual Emotion Recognition Based on Hidden Markov Model,opted to train the hidden Markov models for audio, visual and audio visualmulti-stream emotion recognition. In general, the recognition rates of audio-visual multi-stream HMMs are slightly higher than the audio only HMM and visual only HMM, and the recognition rates of negative emotions areslightly than positive emotions.
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