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วีดิทัศน์
Recent Submissions
True Smart University & Assumption University
(2019-06-11)
AU Annual Faculty Seminar 2019
(2019-08-01)
กานดา วรรักษา
(2543)
An Empirical Study about the Role of Personality Traits in Information Technology Adoption
(2014)
This paper investigates the relationship between personality
traits and their Information Technology (IT) adoption. The study used
the Five Factor Model (FFM) to assess the personality of individual
users who adopt social networking technologies using their mobile
devices. This research is conducted among 320 social networking users in
Thailand. Based on the theoretical background of Technology Acceptance
Model (TAM) and FFM, a conceptual model is developed and empirically
tested. The study found that extraversion, agreeableness are posi...
Potential Z-Fighting Conflict Detection System in 3D Level Design Tools
(2015)
Z-Fighting is an effect that happens in 3D scenes when two
co-planar surfaces share similar values in the z-buffer which leads to flicking
and visual artifacts during the rendering process due to conflicting
order of rendering the surface. However in 3D level design, scenes created
by the tools can be complex, in which level designers can inadvertently
place co-planar surfaces that would be susceptible to z-fighting. Level
designers typically notice the z-fighting artifact through visual inspection
through the usage of a 3D walkthrough t...
Optimizing Player Throughput for Interactive Motion Based Kiosk Games – A Case Study from the PTT Technobots Campaign
(2015)
Maintaining booths that are attractive to exhibition attendees is one of the main goals
of exhibitors. One of the popular tactics to attract attention is to utilize new and emerging
technology to create fresh new types of interactive booths, in which motion-based kiosk games
are gaining popularity in this domain. However motion-based kiosk games are usually
designed using conventional computer game design principles and are not optimized for
exhibitions which results in a low player throughput. This paper examines the issues behind
conven...
Domain-oriented two-stage aggregation: generating baseball play-by-play narratives
(2015)
This paper presents an end-to-end natural language
generation system that performs aggregation in two stages: the
first takes advantage of the information implicit in the source
knowledge base in order to aggregate event components into
complex sentences. The second stage examines the developing
context of the text in order to aggregate similar adjacent events
into more fluent text. The source knowledge base is the
Retrosheet collection of play-by-play baseball scoresheets
encoded in machine-readable form. The output is reasonably
flue...
Alternating Least Squares with Incremental Learning Bias
(2015)
Recommender systems provide personalized suggestions for every individual user in the system. Many recommender systems use collaborative filtering approach in which the system collects and analyzes users' past behaviors, activities or preferences to produce high quality recommendations for the users. Among various collaborative recommendation techniques, model-based approaches are more scalable than memory-based approaches for large scale data sets in spite of large offline computation and difficulty to update the model in real time. In this pa...
Feature Envy Factor A Metric for Automatic Feature Envy Detection
(2015)
As a software system evolves, its design get
deteriorated and the system becomes difficult to maintain. In
order to improve such an internal quality, the system must be
restructured without affecting its external behavior. The process
involves detecting the design flaws (or code smells) and applying
appropriate refactorings that could help remove such flaws. One
of the design flaws in many object-oriented systems is placing
members in the wrong class. This code smell is called Feature
Envy and it is a sign of inappropriate coupling and ...
The Effect of Transmission Range in Multi-hop Wireless Networks
(2014)
Transmission or communication range is an important
factor for successful data delivery in wireless communications
including multi-hop wireless networks. Typically, transmission
range can be technically adjustable by configuring the transmitting
power (Tx Power) or changing the antenna height. For
the same antenna height, if transmission range is minimized
or adjusted to be shorter by lowering Tx power, there is less
energy consumption but the networks are likely to be unconnected
which consequently degrades the network performance such...
Performance and Comparative Analysis of Energy Consumption for Mobile Ad Hoc Routing Protocols
(2014)
Mobile ad hoc networks are energy-constrained
networks, nodes in these networks are usually mobile and they
are typically implemented in the specific areas where electrical
power source is not available. Thus, the operations of these nodes
must only rely on battery power or other exhaustible sources
of energy. In addition, most of power in each node is required
for communication with other nodes or gateway connected to
the wired networks, this usually includes transmission of data
and control overhead generated by ad hoc routing protoco...
Performance Evaluation of Dynamic Cell Zooming Algorithms in Omni-directional and Sector-based Cells
(2014)
This paper evaluates and highlights the
performance of three dynamic cell zooming algorithms applied in
both omni-directional and sector-based networks. A possible
framework compatible with dynamic cell zooming algorithms for
user’s location detection is presented. The performance of each
cell zooming algorithm is simulated in terms of power saving and
possible outage in a full-day operation. According to simulated
results, there is no significant difference between the
performance of each algorithm and others at low traffic hours,
but...
An Overview of Digital Trunked Radio: Technologies and Standards
(2014)
Land Mobile Radio (LMR) refers to the two-way radio communication system that allows users sharing
the same range of frequency to communicate with the others. LMR can be roughly classified into two main systems
which are conventional and trunked radio systems. In conventional system, a frequency band is permanently
dedicated to a voice channel. However, using trunked radio system can increase the spectrum efficiency by having
pool of frequencies which are temporarily assigned to a group of users called talk group only when required. In
tru...
An Overview of Cell Zooming Algorithms and Power Saving Capabilities in Wireless Networks
(2014)
Cell zooming has emerged as a potential strategy to develop a green communication system in our society and
it has become an essential research area of wireless communication. Aiming to highlight the trend of existing
cell zooming algorithms and their power saving capabilities, this paper reviews a number of cell zooming
algorithms that have been proposed in the literature. Static cell zooming algorithms are effective for off-peak
hours and their maximum power saving capability is 50% since off-peak duration is typically not more than 12
h...
Adaptive Location Update Schemes for Continuous Cell Zooming Algorithm in Wireless Networks
(2015)
Continuous cell zooming algorithm is a potential
dynamic cell zooming algorithm for energy-efficient operation of
mobile wireless networks. In this algorithm, location
management strategy (location update process) is required to
know the location of the farthest user in each cell to perform cell
zooming. However, the application of conventional periodic
update scheme in continuous cell zooming algorithm can lead to a
high signaling cost. Therefore, in this paper, two adaptive
location update schemes, namely, Time-Adaptive Periodic
Upda...
License Plate Extraction and Recognition of a Thai Vehicle Based on MSER and BPNN
(2015)
The extraction and recognition of a Thai vehicle license
plate based on Maximally Stable Extremal Regions (MSER) and
Back-Propagation Neural Network (BPNN) is presented. The
license plate area is in a maximally stable extremal region of a car
image. It can be effectively extracted from MSERs by multiple
classifications. The feature extraction of characters from the
license plate is based on Zernike moment. The feature is used as a
training dataset for the BPNN to recognize the characters. The
experimental results indicate that the propo...