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Recent Submissions
Decomposing BPC Permutations into Semi- Permutations for Crosstalk Avoidance in Multistage Optical Interconnection Networks
(2015)
This paper introduces a simple O(N)
algorithm that decomposes BPC (bit-permutecomplement)
permutations into semi-permutations for
avoiding crosstalk when realizing them in N × N optical
multistage interconnection networks (OMINs). Crosstalk
means that two optical signals, sharing an optical switch,
undergo a kind of undesired coupling. A semipermutation
is a partial permutation which meets the
requirement for each switch in an input and output
stages of the network to be used with only one optical
signal at a time. It provides avoidin...
Damped Oscillator under Stokesian Realm and Added-Mass Effects
(2015-05)
This article presents the modeling and simulations
of a sphere that oscillates vertically in a high-viscosity liquid.
The sphere is connected to a linear spring and given an initial
displacement from the equilibrium position to allow free
vibration and the sphere undergoes the inertia force, the spring
force, the drag force, the buoyancy force, the gravity force, and
the added-mass force. In general, the added-mass force is not
considered in modeling an oscillator. In this article, the
added-mass force is included in the modeling to ref...
Bidirectional Confidential with Bilateral Filter on Local Based Optical Flow for Image Reconstruction under Noisy Condition
(2015)
More than a decade, Optical flow is relevant in many areas
such as video coding and compression, robot vision, object
tracking and segmentation, and super resolution
reconstruction. By the result of the motion vector from optical
flow, reduction the error stands a problem especially under
noisy condition. Many models have been proposed to reduce
the error and bilateral is one of the popular models. This
paper introduces the model of bilateral filter in combination
with bidirectional confidential over simple local based optical
flow whe...
Performance and Comparative Exploration of Reconstructed Quality for An Iterative SRR Algorithm Based on Robust Norm Functions Under Several Noise Surrounding
(2014)
The multi-frame SRR (Super Resolution
Reconstruction) algorithm has become the significant theme in
digital image research society in the last ten years because of its
performance and its cost effectiveness hence many robust norm
functions (both redescending and non-redescending influence
functions) have been usually incorporated in the multi-frame
SRR framework, which is combined a stochastic Bayesian
approach and a regularization technique into the unify SRR
framework. Consequently, this paper thoroughly presents
experimental explora...
Performance Investigation on Bilateral Filter with Confidence Based over Spatial Correlation-based Optical Flow for Image Reconstruction
(2014)
Optical flow in image sequences gives essential
data on motion structure. It is relevant in several areas such as
robot vision, video coding, and super resolution reconstruction.
Even though this realm has been concentrated for more than a
decade, reduction the glitch in estimation stands a difficult
trouble. Many techniques were proposed to enhance the
performance and one of the most is bilateral filter. This paper
presents the performance study of bilateral filter and bilateral
filter together with confidence based over spatial correl...
A Performance Impact of An Edge Kernel for The High-Frequency Image Prediction Reconstruction
(2014)
As a rule, the performance of almost digital image
processing (DIP) algorithms and these applications directly
depends on the spatial resolution of observed input images.
Unfortunately, from the current image sensor technology, it is
hard to take sufficient high spatial resolution images from
commercial devices therefore the fantastic research attempts and,
consequently, simple digital image resolution enhancements have
been boosted in the last decade. The high-frequency image
prediction reconstruction is the simple and effective algori...
Empirical Exploration Achievement of Noise Removal Algorithm Based on Trilateral Filter for Both Gaussian and Impulsive Noise Ambiance
(2016-06)
Although the Bilateral filter is one of the most
realistic and virtuoso noise removal algorithms, which is
often proposed for Gaussian noise in 1998, the Bilateral
filter (BF) ineffectively works under the impulsive noise.
Consequently, Trilateral filter (which is a modification
Bilateral filter) was first proposed by Roman Garnett et al.
in 2005 and this filter is based on the hybrid consisting of
Bilateral filter and Rank-Ordered Absolute Differences
(ROAD) statistic for automatically attenuating or
excluding of Gaussian and impulsiv...
The Switching Bilateral Denoising Performance Influence of Spatial and Radiometric Variance
(2016-06)
In this paper, we investigate the
performance of switching bilateral filter (SBF)
influenced by two parameters — radiometric variance
( R
σ ) and spatial variance ( S
σ ). The SBF can be used to
filter Gaussian noise and impulse noise at the same
time. For SBF, R
σ and S
σ are the two most important
factors that affect increasing /decreasing the
performance of SBF. Then, we investigate the influence
of two parameters by varying their values from 1 to 100
and evaluate the performance of the de-noising for
seven types of image under...
An Alternative Technique using Median Filter for Image Reconstruction based on Partition Weighted Sum Filter
(2016-06)
In this paper, we propose an alternative technique
for image reconstruction which it is combined existing methods
for better performance in spatial domain using the median
(MED) filter based on partition weighted sum (PWS) filter. Four
noise models are considered including additive white Gaussian
noise (AWGN), poission noise (PN), salt and pepper noise (SPN)
and speckle noise (SN) under different image types such as aerial
image, face image, scenic image, and text image. The simulation
results show that the median based partition weight...
People Identification and Counting System Using Raspberry Pi
(2016-01)
The work in this paper focuses on an implementation of OpenCV in an embedded system like raspberry Pi to create a mini-standalone station for counting people. The key feature of AU-PiCC (Assumption University's raspberry Pi Customer counter) is to count a number of interested people on target product in a pre-defined area along with a simple face identification to avoid counting duplicates. The experimental results show that this raspberry Pi-based system can be used as a simple people counter station.
PiFrame: A Framework for Home Automation Platform on the Full Feature OS
(2016-01)
This work provides the framework for implementing
the embedded systems on the embedded computer that
running full-feature OS to shorten the development cycle
and reduces the embedded system limitation. The
Raspberry Pi, running the full-feature Linux, is used as
the based system of the framework with the additional
development of software environment and general
purpose hardware extension. The framework can be
used for both education and research.
Design and Development of a Flood Warning System via Mobile and Computer Networks
(2016-01)
Environmental data plays an important role in
forecasting and warning of possible natural disaster such as
flooding. Thailand faced a major flood in 2011, which at that
time lacks automated mechanism in collecting environmental
data and warning system. This work presents the design and
development of a flood warning system. The system contains an
embedded data acquisition module that can be placed in a remote
area in order to collect environmental data such as amount of
rainfall, water level, and image periodically. The collected data
...
Ball On The Plate Model Based on PID Tuning Methods
(2016)
Controller design is one of the important steps
during the modelling of various systems, starting with constructing
an electric kettle to an aircraft system. To achieve
a good controller it is needed to define suitable values for
the controller coefficients. This paper describes the research
practices of the tuning technique by using MATLAB/Simulink
compared with manually PID tuning based on the trial and
error process, as well as, PID tuning methods from Ziegler-
Nichols and Tyreus-Luyben (closed-loop proportional gain control
or P-Co...
An optimal performance investigation for bilateral filter under four different image types
(2015-11)
The merit of bilateral filter is that it preserves the
edges of the image and smooth the image at the same time.
This can be done by controlling two important parameters
— spatial domain parameter and range domain parameter.
The contribution of this paper is two-fold. First, we
investigate the optimal parameters of the bilateral filter
under four different types of images — aerial, face, object
and texture. The simulation results show that the parameters
— spatial domain parameter and range parameter — should
be changed depending on th...
4x4 High-Magnification Image Reconstruction Based on Hybrid of Multi-frame SR Approach and Image Super Resolve Algorithm
(2015-11)
From tremendously soliciting high quality and
high resolution images, sundry image reconstruction algorithms
have been researched and implemented during the last fifteen
years, especially for high-magnification image reconstructions. In
this paper, we develop high-magnification image reconstruction
based on hybrid of a multi-frame SR approach and an image
super resolve algorithm for 4x4 magnifying in resolution. First, a
group of polluted low resolution images are amalgamated for 2x2
magnifying in resolution and suppressing the noise in...
The Bilateral Denoising Performance Influence of Window, Spatial and Radiometric Variance
(2015-08)
In the research operation of Digital Signal Processing
(DSP) and Digital Image Processing (DIP), one of the most
essential obstacles is the image denoise algorithm by the reason of
a very large demand of high quality noise-free images therefore
there are many image denoise algorithms have been invented in
the time of two decades. Bilateral filter is one of the most
impressive and feasible algorithms, which is usually applied for
denoise propose, but the performance of the Bilateral filter is
substantially bank on three parameters: spati...
Tracking of High-speed, Non-smooth and Microscale-amplitude Wave Trajectories
(2016-07)
In this article, an inversion-based control approach is proposed and presented for tracking desired
trajectories with high-speed (100Hz), non-smooth (triangle and sawtooth waves), and microscale-amplitude
(10 micron) wave forms. The interesting challenge is that the tracking involves the trajectories that possess a
high frequency, a microscale amplitude, sharp turnarounds at the corners. Two different types of wave
trajectories, which are triangle and sawtooth waves, are investigated. The model, or the transfer function of
a piezoactuator ...
Conceptual Framework of Super Resolution Reconstruction Based on Frequency Domain From Aliased Multi-Low Resolution Images: Theory Part
(2016)
Typically, a spatial resolution (Pixel per Area) is an important factor used to define the image quality. Due to the dramatically advance of digital image processing in this decade, high resolution (HR) images are in demand because HR images give more detail and information that directly impact their application performance. Today, there are several techniques that can capture high resolution images such as resolution increment by reducing pixel side. Consequently this high resolution sensor is so expensive and do not proper for general applica...