Threepak, Thanunchai

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Alternative Name

Threepak, T.

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School of Engineering

thanunchai.th@kmitl.ac.th

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Feature Selection Method Based on Correlation Tree
(2020-01-01)
Yapila, Prajak
;
Threepak, Thanunchai
Machine learning is one of techniques adapted to detect intrusion for cyber security. One of importance techniques to find anomaly is classification. But classification with huge dataset has the resources and time consumption. Feature selection is choice to reduce the data dimension to improve processing performance. In this paper, we introduce the new feature selection method that selects some fields of data set using position of each feature in correlation tree. Then, the result from the correlation tree feature selection of KDDCUP’99 data set are compared with two feature selection technique, correlation of coefficient (CC-type) and BFS by using three reference classifier, Decision Tree (DT), Random Forest (RF), and Naive Bayes (NB).
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New wavelength division multiplexing bands generated by using a Gaussian pulse in a microring resonator system
(2009-12-01)
Polar, A.
;
Threepak, T.
;
Mitatha, S.
;
Bunyatnoparat, P.
;
Yupapin, P. P.
We propose a novel system that can be used to generate the new optical communication bandwidths (wavelength bands) using a Gaussian pulse propagating within a nonlinear microring resonator system. By using the wide range of the Gaussian input pulses, for instance, when the input pulses of the common lasers with center wavelengths from 400-1,400 nm are used. Results obtained have shown that more available wavelength bands from the different center wavelengths can be generated, which can be used to form new dense wavelength division multiplexing bands, whereas the use of the very high channel capacity for personal wavelength and network applications is plausible. ©2009 IEEE.
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Defect detection of GPS trackers through data visualization
(2019-07-01)
Chawuthai, Rathachai
;
Threepak, Thanunchai
A Global Positioning System (GPS) tracker installed in a vehicle is commonly used to improve logistics management processes and transportation safety. All GPS trackers must send data including locations, timestamps, and speeds to a server all the time. In case of a device failure, it can be checked by incomplete data; however, a device's sensor inaccuracy, which can create negative consequences to many parties, becomes a challenging issue to detect. With this reason, this paper aims to adopt data visualization to find out the defect of GPS trackers. It has been found that some defects noticed by a visualization were reported, and providers got advantage of this result to maintain their devices.
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Anomaly SQL SELECT-statement detection using entropy analysis
(2014-01-01)
Threepak, Thanunchai
;
Watcharapupong, Akkradach
Database systems are often intruded because they store valuable information and can be accessed through Internet web applications which sometimes are not developed with security in mind. Attackers can inject some crafted inputs to those programs that work on database systems so that some unexpected results occur. We analyze the database system log files, focus on query statements (SQL SELECT statements), using the Shannon entropy to detect such anomaly attempts that would change conditional entropy significantly. Our experiment shows that the proposed anomaly detection using entropy analysis is effective. © 2014 Springer International Publishing Switzerland.
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Route Prediction from GPS Trajectory and Road Data
(2023-01-01)
Chawuthai, Rathachai
;
Kawachakul, Kampanart
;
Boonrod, Kittikom
;
Threepak, Thanunchai
This paper presents an approach to create a route prediction model for multiple vehicles from GPS trajectory and road data. Since the baseline model is designed for a single car and it provides low performance for our experiment, our approach using the HDBSCAN clustering for route data preprocessing and the prediction model based on Viterbi algorithm, which is an extension of the Hidden Markov Model, provides the better performance in terms of Hit@K where K being 3. The result of our work demonstrates the feasibility to improve the smart city technology under the scope of smart mobility as well. (Abstract)
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Bittorrent cache using virtual tracker
(2006-12-01)
Threepak, Thanunchai
Bittorrent is powerful peer-to-peer network protocol for sharing individual resources. It is very popular among internet users because there are many easy-to-use bittorrent clients and many resources in bittorrent network. In other hand, bittorrent peer-to-peer behavior generate a lot of traffic and bring the network bottleneck at internet connection line in many organizations This paper proposes a model of bittorrent cache system which using transparent tracker for reducing download traffic from all active downloading tasks in local network, show some experimental results to reduce all download traffic, and show deterministic fluid model to analyze the big picture of the system. © 2006 IEEE.
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A novel data transmission security via a noisy channel using a microring resonator system
(2010-01-01)
Threepak, T.
;
Mitatha, S.
;
Yupapin, P. P.
A novel encryption methods using microring resonator is presented. By using the proposed system, the confidentiality of information in optical communication can be formed. In this paper, chaostic noise sophisticates irreversible and unpredictable in nonlinear microring resonator that is used as the encrypted function. In our successfully simulation results, the noisy signals/channels created by the microring resonator are combined with the encoded information to protect the man-in-the-middle attacks (decipher). By using the extremely small processing device, the propose design can be easily applied to secure any form of communication in wireless network, mobile communication network and military applications with low power consumption and very high-speed procedures.
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Freight Traffic Analytics from National Truck GPS Data in Thailand
(2018-01-01)
Chankaew, Nattaphon
;
Sumalee, Agachai
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Treerapot, Siripirote
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Threepak, Thanunchai
;
Ho, H. W.
Recently, demand of freight transport increases tremendously and cause serious impacts on traffic congestion and air quality. In 2015, The Department of Land Transport of Thailand has introduced a project named "Nationwide Confidence with GPS Onboard" to install GPS tracking system on all trucks in Thailand. This project provides new sources of data in analyzing the freight-related traffics and designing remedial measures for freight-related issues. This paper aims to demonstrate the use of GPS data in determining truck activities, estimating truck origin-destination matrix and estimating the flow of different commodities. Thailand is used as a case study to demonstrate the results.
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Soliton collision and crosstalk management using a micro-ring resonator System
(2009-12-01)
Tadee, K.
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Threepak, T.
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Mitatha, S.
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Bunyatnoparat, P.
;
Yupapin, P. P.
We present the interesting system that consists of a micro ring resonator system incorporating an add/drop filter. By using the appropriate parameters relating to the practical device. we found that the obtained multisolitons can be benefit the dense wavelength division multiplexing application, whereas the different center wavelengths of the soliton bands can be obtained via the add/drop filter without the collision, which can be used to increase the communication channel capacity in communication network. ©2009 IEEE.
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National freight behaviours analysis from global position system data
(2017-01-01)
Chankaew, N.
;
Sumalee, A.
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Threepak, T.
;
Sutakham, N.
Thailand has been identifying points of departure and terminal by the analysis of transportation origin-destination records. The record is the collection of report performed manually by departure's or terminal's authority. However, the nature of transportation is always dynamic which causes record became inaccuracy overtime. Moreover, the resource needed to collect such data is enormous. To resolve such need for more accurate and modernize data, the researchers purposed the methodology of using real-time data processing through automatic sensors. The research subjects in this research are 100,000 of public transport vehicles. The data is collected from various sensor attached to each vehicle. The amount of three months of data collections are used for study and develop an Analytic Algorithm to correctly and assisting in identifying points of departure and terminal. The result will be present in geographic map in the last stage for aiding executives or authority to efficiently developing traffic management plan.

Threepak, Thanunchai

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