Wongwirat, Olarn

Preferred name

Wongwirat, Olarn

Alternative Name

Wongwirat, O.

Wongwirat, Olam

Main Affiliation

School of Information Technology

olarn.wo@kmitl.ac.th

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A development of hybrid temperature recorder monitoring system
(2010-12-01)
Oonchom, Keelati
;
Arnuttinanon, Benjaporn
;
Wongwirat, Olarn
Currently, the HDDs (Hard Disk Drives) from a production line have to pass an operation test in a burn-in chamber. To ensure quality, after an operation period, the burn-in chamber has to be calibrated. The calibration process requires an engineer to manually monitor a temperature at the hybrid temperature recorder connected to the burn-in chamber throughout the entire process. It is a time consuming operation and inefficient process due to a large number of burn-in chambers used in the production line, when comparing with a limited number of engineers. This paper expresses a development of hybrid temperature recorder monitoring system used to improve such the calibration process. There are two main systems involved, i.e., a temperature recording system and a monitoring system. However, the monitoring system is mainly focused in this paper. Also, an object-oriented analysis and design methodology (OOADM) is applied in the development process. The monitoring system interconnects the hybrid temperature recorder through a wireless network to receive the temperatures captured from sensors inside the burn-in chamber. Then, the temperature data is processed and displayed at the central server of system in the engineering office. This could allow the engineer to centrally monitor all hybrid temperature recorders used in the calibration process of burn-in chamber in real-time. The monitoring system can display the alarm signal when the errors occur during the calibration process and sent it to the engineer for alerting as well. Furthermore, the temperature data can be stored in a database at the central server for future reference. ©ICROS.
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A Result Verification of Decision Tree Model for Industrial Wireless Sensors Selection using Analytic Hierarchy Process
(2019-07-01)
Meesawad, Saksiri
;
Thanasopon, Bundit
;
Wongwirat, Olarn
Nowadays, an industrial wireless sensor (IWS) is interested and widely used in a Gas industry in Thailand. There are many vendors trying to improve quality of IWS products for gaining advantage in competitive market. Therefore, choosing the IWS becomes a challenge for users not only the brand name and price but also several factors needed to be considered, e.g., data rate, output power, operating voltage, transmitting current, receiving current, and operating temperature. Selecting the proper IWS is considered as a multi-objective decision problem that is complicated for an engineer and a project manager. The classification method using a Decision Tree)DT(model can be applied to solve such the problem, but the accuracy is depended on the number of historical data. For IWS in the Gas industry in Thailand, not only the number of training and testing data is limited but also there are only a few brands that are chosen regularly. In this paper, the method of applying the DT model for IWS classification and selection is presented. Then, the classification result of the DT model is verified by using an Analytic Hierarchy Process)AHP(for confirming whether it is accurate based on the limit number of historical data. The verification result can be preliminarily ensured that the DT model can be applied as a decision tool for choosing the appropriate IWS accurately.
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Searching energy-efficient route in rough terrain for mobile robot with ant algorithm
(2012-12-01)
Anuntachai, Anuntapat
;
Wongwirat, Olarn
Recently, the ant algorithm has been widely used to solve the problem for searching optimized route from various different paths. It can be applied for searching an appropriate route that consumes less energy in mobile robot area as well. However, the previous optimized routes resulting from the ant algorithms considered only in flat terrain environment. They did not mention rough terrain environment. For the rough terrain, the optimized results might not be optimized in term of energy, due to slopes contained inside. This paper presents the application of ant algorithms for searching energy-efficient route of mobile robot in the rough terrain environment. The conventional ant colony optimization (ACO) algorithm and the adapted ACO algorithm are used to find the optimized routes in terms of distance and energy for comparison. The experimental results showed that, by using the speed with distance weighting factor, the adapted ACO yielded the optimized distance and energy in the flat terrain. In the rough terrain, the adapted ACO could also provide the energy-efficient routes better than the flat terrain. However, it could not be comparable with the ACO in some case and is required further improvement. © Springer-Verlag Berlin Heidelberg 2012.
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A comparison of decision tree based techniques for indoor positioning system
(2018-04-19)
Chanama, Lummanee
;
Wongwirat, Olarn
Currently, an indoor positioning system based on a fingerprint technique for wireless networks under IEEE 802.11 standard uses a method to collect a received signal strengths (RSS) to create a radio map in an offline phase. Then, it detects the RSS in an online phase to compare and find the position. However, while detecting and gathering the RSS, there are some variations of the RSS that affect the accuracy of position estimation. Therefore, there are several methods used to estimate the position in order to improve the accuracy, but the one focused in this paper is a decision tree based classification. The decision tree based classification method is found that it can provide better improvement in accuracy than the others, e.g., K-Nearest Neighbor (K-NN), Bayesian, and Neural networks. However, the techniques used to construct the decision tree are varied depending on the algorithm used to implement. Therefore, this paper is a comparison of decision tree based techniques using typical decision tree (DT) and Gradient boosted tree algorithms for estimating the position indoor. In the study, the RSSs collected from access points in the experimental area are used as the training and testing data. The decision tree models are created by using typical DT and Gradient boosted algorithms based on the training data obtained. There are two factors to consider in the comparative study, i.e., the number of training data and the number of reference radio signals. The testing results from the experiment showed that the decision tree based on Gradient boosted algorithm yielded more accurate results than typical DT, where the amount of 19 reference radio signals and 50 samples of training data gave the best result.
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Prototype development of hybrid temperature recorder monitoring system
(2010-01-01)
Wongwirat, Olarn
;
Oonchom, Keelati
;
Arnuttinanon, Benjaporn
Currently, the calibration of burn-in chambers used in a HDDs (Hard Disk Drives) production line requires an engineer to manually monitor temperatures at the hybrid temperature recorders throughout the entire period of calibration process. It is a time consuming and inefficient operation, due to a large number of burn-in chambers used in the production line comparing with a limited number of engineers to handle. Therefore, this paper describes the prototype development of hybrid temperature recorder monitoring system implemented to improve the current manual calibration process of burn-in chamber. The work in this paper applies an objectoriented analysis and design methodology (OOADM) in the development process. The proposed system comprises two subsystems, i.e., a temperature recording subsystem and a monitoring subsystem, interconnected through a wireless network. The temperature recording subsystem performs capturing temperatures from sensors inside the burn-in chamber and sending the temperature data to a central server at the monitoring subsystem in the engineering office for monitoring in real-time. When the errors occur during the calibration process, the alarm signal is displayed and sent to the engineer for alerting. Furthermore, the temperature data is stored in a database for future verification and reference. © 2010 IEEE.
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Operation verification of hybrid temperature recorder monitoring system
(2011-11-17)
Wongwirat, Olarn
;
Oonchom, Keelati
;
Arnuttinanon, Benjaporn
In current HDDs (Hard Disk Drives) production line, the calibration process of burn-in chambers is required an engineer to manually monitor temperatures at the hybrid temperature recorder throughout the period of calibration process. It is a time consuming and inefficient operation, due to a large amount of burn-in chambers used in the production line comparing with a limited number of engineers to handle. To improve the monitoring procedure of current calibration process, a hybrid temperature recorder monitoring system is developed. The system is composed of two subsystems, i.e., a temperature recording subsystem and a monitoring subsystem, interconnected through a wireless network. To verify the accuracy of system operation, the simulation experiment is set up by acquiring an actual data from current calibration process in the production line. The actual data used to verify in the experiment reflects the results of operation found in three cases, i.e., normal operation, loose probe, and broken probe. The experimental results express that the system yields the same outcomes as in the actual operation of current calibration process. Therefore, the hybrid temperature recorder monitoring system can perform the operation accurately and can be deployed into the actual process in the future. © 2011 IEEE.
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Accuracy verification of Location Base Protocol mechanism
(2011-10-31)
Wongwirat, Olarn
;
Pragotchue, Prakat
Operation of indoor and outdoor localization cannot be combined because the techniques and mechanisms cannot be shared or worked together. Consequently, they are not integrated to support seamless mobility in the application level, e.g., still discontinuity of service when the mobile users move from indoor to outdoor and vice versa. This paper presents the Location Base Protocol (LBP) designed to combine the indoor and outdoor localization technologies to support seamless mobility in the application level. The LBP expressing in the paper includes the location update mechanism, header and payload data, and accuracy verification by simulation. The simulation depicts the interaction between the mobile station (MS) and the server by using the LBP. The result shows that the positions of MS can be tracked accurately while moving from the indoor to outdoor and vice versa. © 2011 IEEE.
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Searching energy-efficient route for mobile robot with ant algorithm
(2011-12-01)
Wongwirat, Olarn
;
Anuntachai, Anuntapat
Recently, the ant algorithm has been widely used to solve the problem of searching for optimization route from various different paths. The ant algorithm can also be applied for searching an appropriate route that consumes less energy in mobile robot area, which is similar problem domain. However, in order to apply, the ant algorithm is required to adapt due to the factor of energy that must be considered in addition to the distance alone. This paper presents the adaptation of ant algorithm to solve the problem of searching energy-efficient route for mobile robot. The adapted ant algorithm deploys a speed, which is employed to find the energy to move the robot in each route, to generate pheromones used to define the probability that the ants will choose for the best route. Then, the distance is used as a weighting factor to discover the energy-efficient route in terms of distance and speed by simulation. The results from adapted ant algorithm are also used to compare with the conventional ant algorithm for investigation. The simulation results expressed that, when using the speed with the distance to weight, the average distance is shortest. Consequently, when transforming into the energy, the result is much lower as well. Therefore, the adaptation of ant algorithm can improve the result of searching problem for optimization route that consumes less energy, which is a limited resource of mobile robot. © 2011 ICROS.
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Industrial wireless sensor selection method by using decision tree
(2017-07-01)
Meesawad, Saksiri
;
Wongwirat, Olam
Presently, an industrial wireless sensor (IWS) has been interested and widely used by various industries. There are many industries trying to adopt qualified IWS products in competitive market for gaining advantage. The challenge in selection IWS includes not only the price, but also several factors, e.g., data rate, output power, operating voltage, current transmitting, current receiving, operate temperature, brand and so on. These factors cause difficulty for making decision by engineers or project managers, since there are a number of factors to select simultaneously in order to find the optimal IWS to use. In this paper, we propose the method for IWS selection by using decision tree in data mining. The proposed method is suitable for the problems involving a multiple factors selection simultaneously, as in the IWS selection problem. The IWS factors used for attribute decision are defined in this work, as well as the model of training set preferences. The classification method and decision tree technique are also derived in the paper to acquire the result, including the cross validation check for the result obtained. The result expressed that the decision tree provides the correct decision to optimal classification. It is rationality and feasibility for selection the qualified IWS products.
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An application of linear programming for vertical handover decision making
(2012-12-01)
Wongwirat, Olarn
;
Panjanda, Wittaya
Currently, there are several wireless access networks available to support mobile users. Furthermore, new services have also emerged and aim to allow such mobile users to access the services from anywhere at any time without interruption while moving across heterogeneous wireless access networks. The new services require internetworking and integrated solutions between existing heterogeneous wireless network technologies, e.g., cellular networks and wireless local area network (WLAN). The main objective is to enable the mobile users to access the services with different bandwidth, quality of service (QoS), throughput, and delay while roaming seamlessly. Thus, vertical handover (VHO) is the major concern for such seamless mobility support. This article introduced the linear programming technique used for VHO decision strategies. The proposed linear programming technique aims to provide the optimization result for VHO decision making on mobile devices. The preliminary experiment is conducted by simulation to investigate the proposed linear programming model and the optimization result. The experimental result expresses that the optimized values used for VHO decision making can be obtained by using various network parameters. Therefore, the proposed linear programming can be deployed to support the VHO decision making. © 2012 IEEE.

Wongwirat, Olarn

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