Eleventh International Conference On Computer Applications (ICCA 2013)
https://onlineresource.ucsy.edu.mm/handle/123456789/17
2024-03-29T05:29:09ZA Study of Myanmar Word Segmentation Schemes for Statistical Machine Translation
https://onlineresource.ucsy.edu.mm/handle/123456789/2335
A Study of Myanmar Word Segmentation Schemes for Statistical Machine Translation
Thu, Ye Kyaw; Finch, Andrew; Sagisaka, Yoshinori; Sumita, Eiichiro
Myanmar sentences are written as contiguous
sequences of syllables with no characters delimiting the
words. In statistical machine translation (SMT), word
segmentation is a necessary step for languages that do
not naturally delimit words. Myanmar is a low-resource
language and therefore it is difficult to develop a good
word segmentation tool based on machine learning
techniques. In this paper, we examine various word
segmentation schemes and their effect on the translation
from Myanmar to seven other languages. We performed
experiments based on character segmentation, syllable
segmentation, human lexical/phrasal segmentation, and
unsupervised/supervised word segmentation. The results
show that the highest quality machine translation was
attained with syllable segmentation, and we found this
effect to be greatest for translation into subject-objectverb (SOV) structured languages such as Japanese and
Korean. Approaches based on machine learning were
unable to match this performance for most language
pairs, and we believe this was due to the lack of
linguistic resources. However, a machine learning
approach that extended syllable segmentation produced
promising results and we expect this can be developed
into a viable method as more data becomes available in
the future.
2013-02-26T00:00:00ZPractical and Potential Applications of an Unmanned Airship based on Automatic Control - Embedded Computer System Design
https://onlineresource.ucsy.edu.mm/handle/123456789/2334
Practical and Potential Applications of an Unmanned Airship based on Automatic Control - Embedded Computer System Design
Nguyen, Tuan Anh; Lee, Seulki; Wi, Miseon; Eom, Taehoon; Park, Jong Sou; Comina, Germán; Bedon, Hector
Unmanned Airship is useful and applicable for a variety of fields especially in resource exploration and environmental monitoring. This measure enhances the flexibility, on-demand supply and reasonable cost. This is a fruitful approach to meet actual needs. In this paper, we propose an embedded automatic computer system architecture design for an Unmanned Airship in terms of hardware system, software system and automatic control algorithm perspectives. At last, we discuss the practical results in resource exploration and environmental monitoring that we have achieved as well as other potential applications of the Unmanned Airship.
2013-02-26T00:00:00ZServer Workload Classification and Analysis with Machine Learning Algorithms
https://onlineresource.ucsy.edu.mm/handle/123456789/2333
Server Workload Classification and Analysis with Machine Learning Algorithms
Myint, San Hlaing
The main factor in measuring server performance is
the accuracy of detection mechanisms. Sever is needed
to detect server overload condition accurately.
Therefore, it can be satisfied customers by reducing
request drop rate. Server overload detection would be
an initial step of overload control system. In order to
provide such a detection mechanism, it is important to
choose the best classifier which is the most suitable for
our dataset. Selecting correct classifier maximize the
performance of detection mechanism.
In this paper, we present how server workload
classification task is performed by using different
machine learning classification methods and how the
best classifier improve overload detection mechanism.
We make a synthetic dataset by using window
performance monitor tool. Many classifiers are
evaluated over synthetic dataset.
2013-02-26T00:00:00ZAnalysis of Physical Health by Estimating Physical Working Capacity
https://onlineresource.ucsy.edu.mm/handle/123456789/2332
Analysis of Physical Health by Estimating Physical Working Capacity
Nway, Zon Nyein; Kham, Nang Saing Moon
It is clear that physically active people have a lower
disease risk than the others who don’t have. Nowadays,
the components of activity which determine particular
health gains are poorly understood. Thus the analysis
for physical health is the subject of current research
interest. In this paper, a model is proposed to analyze the
physical health by estimating physical working capacity.
This study shows associations between physical
parameters and physical performance by using multiple
linear regressions. The aim of the use of multiple linear
regression is to minimize the error in our prediction of
the dependent variable, and minimize the residuals we
made. And regression is a statistical method and is the
most suitable method for this statistical information
system. This paper is concerned with future
contributions to a physical performance for exercise
recommendations both to the public and to individuals.
2013-02-26T00:00:00Z