Preface - kmutt

KMUTT Annual Research Abstracts 2005
robustness of the embedded watermark was
increased by up to 31.4 %, compared to the
results obtained from the scheme with nonpsychoacoustic
model.
IC-028 NEW PSYCHOACOUSTIC MODELS
FOR AVELET BASED AUDIO
WATERMARKING
San Ratanasanya, Sukhanitta Poomdaeng,
Suwat Tachaphetpiboon,
Thumrongrat Amornraksa
International Symposium on Communications
and Information Technologies 2005 (ISCIT
2005), October 12-17, 2005, Fragrant Hill Hotel,
Beijing, China, pp. 582-585
The new approach to apply
psychoacoustic models to the wavelet based
audio digital watermarking is proposed in this
paper. In the scheme, the additive watermarking
technique is used to embed a unique
pseudorandom sequence, considered as a
watermark, into the transformed domain of
audio signal. The watermark strength is properly
adjusted based on weighting factors derived
from the proposed psychoacoustic models. The
results show that at the equivalent quality of the
watermarked audio, judged by the human
hearing system, the robustness of the embedded
watermark was increased by up to 97.1 % and
21.3 %, compared to the results obtained from
the scheme with non-psychoacoustic model and
the previous psychoacoustic model, respectively.
IC-029 PERFORMANCE EVALUATION OF
VIDEO-ON-DEMAND SERVICE FOR E-
LEARNING IN A CAMPUS NETWORK
Thanadech Thanakornworakij,
Peerapon Siripongwutikorn
International Conference on Simulation and
Modeling 2005 (SIMMOD 2005), January 17-
19, 2005, The Rose Garden Aprime Resort,
Nakorn Pathom, Thailand, pp. 242-248
This paper evaluates the possibility of
VoD service deployment in the KMUTT campus
network. Particularly, we are interested in the
number of video flows that can be supported
along the paths from the video server to end-user
workstations located around the campus. Our
evaluation approach is based on the Maximum
Asymptotic Variance (MVA) technique, which
predicts the number of admissible flows at a
single node for a given delay bound
requirement. We then apply a simple
probabilistic bound to deal with multiple nodes.
Network measurement using a Distributed
Benchmark System (DBS) is performed to
validate the model accuracy. In our experiments,
MPEG-coded video traffic recorded from class
lectures is used. Effects of delay bound
requirements and the network paths are
investigated. Based on the results, we found that
the link capacity may have to be upgraded or
some mechanism to prioritize the video traffic is
needed.
IC-030 CORRECTION OF MISCLASSIFIED
CHARACTERS FOR KHMER OCR SYSTEM
Chey Chanoeurn, Kosin Chamnongthai,
Pinit Kumhom, Nouth Seyha, Ly Bun
87
The 6 th Symposium on Natural Language
Processing (SNLP2005), December 13-15, 2005,
Chiang Rai, Thailand, p. 73
Since OCR (Optical Character
Recognition) has limitation in recognizing
words, post-process of OCR system become
necessary for word correction. This paper
presents a technique to reduce the recognition
errors and improve the robustness of an OCR
system especially for Khmer language. The
proposed technique is divided into two steps,
namely word error detection and word
correction. To detect the errors from Khmer
OCR system, we use word meaning checking
using dictionary and grammatical structure
analysis. Then we find all possible words as
candidates using 13 similar character groups
determined in advance. Finally, a part-of-speech
model algorithm is used to analyze the sentences
that candidates are included, and the candidate
matched to part of speech is selected as
recognition result. The experiment is performed
with more than 100 error words from OCR
system. The result is shown in the paper.
IC-031 N-BEST DECISION FOR THAI
STRESSED SPEECH RECOGNITION WITH
PARALLEL HIDDEN MARKOV MODEL
Pakapong Amornkul, Pinit Kumhom,
Kosin Chamnongthai
The 2005 International Symposium on
Intelligent Signal Processing and
Communications Systems (ISPACS2005),
December 13-16, 2005, The Chinese University
International Conference