Nilas, Phongchai

Preferred name

Nilas, Phongchai

Alternative Name

Nilas, P.

Main Affiliation

School of Engineering

phongchai.ni@kmitl.ac.th

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A multi-terrain spherical amphibious robot for on-land, in-water, and underwater operation
(2019-01-01)
Nilas, P.
;
Ngo, T.
This paper presents an innovative multi-terrain amphibious robot that imitates the amphibian animals' locomotion ability for both onshore and offshore performances. The robot can roll on-land, swim in-water, submerge underwater, and crawl on the sea floor. The robot consists of a spherical body and an outer jacket shell with multiple tiny channels that function similar to the wheel tread while on-land and perform as the paddle when in-water. The proposed robot have superior capability that other conventional robots could not achieve. The robot could travel on multiple terrains such as rolling on soft ground, floating in-water, and maneuvering underwater. This research utilizes the Omni-directional wheel, and the propeller system for locomotion and movement control. The proposed system has been implemented to develop a prototypical multi-terrains amphibious robot, and the initial experimental results also demonstrate the capability of such a robot design.
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Multi level contract net protocol based on holonic manufacturing system implement to industrial networks
(2004-12-01)
Suesut, T.
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Tipsuwanporn, V.
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Nilas, P.
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Rerngreun, P.
;
Numsomran, A.
This paper presents a flexible manufacturing system (FMS) that cooperated the holonic manufacturing system (HMS) with automatic material handling devices via industrial networks. The HMS is described as an intelligent manufacturing system that employs multi-agent system with negotiation protocols. The traditional HMS's negotiation protocol usually used the contract net protocol (CPN) and multi-level contract net protocol (MCPN). This paper develops a cooperative system that applies the concept of HMS to implement a distributed control system for automatic warehouse and FMS. Results from simulation indicated that our approach is able to improve the overall system flexibility. The system is able to reconfigure the re-order points, increase the system fault tolerances, and provides the dynamic rescheduling.
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Speckle noise reduction using adaptive singular value decomposition in logarithmic domain
(2005-12-01)
Chitwong, S.
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Thongsila, A.
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Intajag, S.
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Nilas, P.
;
Cheevasuvit, F.
This paper presents applying the singular value decomposition to reduce speckle noise. Generally, it is used to filter the additive Gaussian noise with zero mean and any variance. Since speckle noise is in multiplicative model, to transform multiplicative model into additive model, we then employ logarithmic transformation. In this paper, speckle noise is generally modeled as Gamma distribution function corresponding with speckle noise of synthetic aperture radar (SAR) imagery applied. All singular value decomposition based filtering processing is in logarithmic domain. Threshold value to determine the effective rank and orders of matrix are adapted as homogeneity analysis. The orders of matrix are consisted of 16 by 16, 8 by 8 and 4 by 4. Normally, the results of the singular value decomposition based filtering after that the filtered matrix is transformed into spatial domain by exponential function is in block-fashion, then blocking effect is occurred. To smooth, the filtered matrix is performed as average filtering by using a number of pixels of 4 by 4 pixels around center of one. Experiments are tested using both simulated image and real image. Signal to noise ratio and equivalent number of looks are employed to evaluate the performance of our method. Our results are good enough when compared with the recent results at which such method is more complex. © 2005 by the American Society for Photogrammetry and Remote Sensing.
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Demand forecasting approach inventory control for warehouse automation
(2004-12-01)
Suesut, Taweepol
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Gulphanich, Suphan
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Nilas, Phongchai
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Roengruen, Prapas
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Tirasesth, Kitti
This paper presents a technique to control the inventory level on the warehouse automation by using continuous reviewing and forecasting system. The product demand that stored in the warehouse depend on orders from customers. For each product, the demand follows a Poisson process and the delivery lead-time is known. The demand forecast can predict the trend of order and redefine the reorder point (RP) of inventory that linked to automatic warehouse control system. The automatic warehouse plays an important role in the computer integration manufacturing system (CIMS) The Junctions of CIMS include production planning, material requirement planning, work order generation, process control, quality control, shipping planning, warehouse and inventory management and material cost accounting. [1] This paper focuses on implementing an automatic warehouse control and inventory management demand forecasting system. © 2004IEEE.
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Prototypical robotic fish with swimming locomotive configuration in fluid environment
(2011-07-26)
Nilas, P.
;
Suwanchit, N.
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Lumpuprakarn, R.
Aquatic animal has always inspired many researchers' interest to develop such living creations' behavioral robots. Numbers of animal-liked aquatic robots have been invented in the past; however, very few works involved the study of full behavioral movement of these aquatic animals. This paper presents a study and design of a robotic fish that imitate natural aquatic animals' forms of locomotion by focusing on the apparatus of swimming performances. The main research focus is the behavioral movement of the propulsion and maneuvering of a robotic fish in a fluid environment. The robot could dynamically generate a series of behavior selection network to form the operational plan, avoiding obstacle as well as fish-liked maneuver; forward, backward and turning. This robot differs from other research that not only uses the tail peduncle to propel its movement but also use pectoral fin in stabilizing and maneuvering. The proposed paradigm has been implemented to develop a prototypical robotic fish. The experiments also illustrate the conventionality, and the robustness of such a fish-robot framework.
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Heat pipe inspection system for thermal management in electronic circuit
(2011-07-26)
Nilas, P.
This research paper proposes the inspection system of heat pipe cooling for electronic devices, such as CPU in personal computer, laptop computer and so on. The inspection system is an essential part in production process of heat pipes CPU cooler. To ensure the high quality product, a 100% quality checking is taken into account. Generally, heat pipe inspection system is conducted by human ears that may cause errors. Therefore, this work proposes the automatic inspection system using the concept on the basis of sensing Acoustic Emission (AE) signals. In the experiment, the AE sensor was mounted on the heat pipe surface to measure the vibration degree sent to computer. The signal of acoustic vibration was analyzed by windows operating system using LABVIEW and NI USB-9233 data acquisition module. Threshold level of noise vibration shown in the program could identify quality or defect of the heat pipe cooling operation. The performances evaluation is satisfactorily achieved with the proposed system illustrated by the testing of the known condition product. This research could potentially help improving the quality assurance operation of heat pipe cooling inspection system in any industries.
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Prototypical Card Shuffling Machine Using Unified Convergence Analysis Methods
(2025-01-01)
Nilas, Phongchai
This paper presents the design and implementation of an advanced playing card shuffling machine that incorporates various shuffling techniques to scramble cards effectively. Shuffling a deck so that it appears completely random has been a challenge for many years. In the past, various mathematical models and algorithms have been proposed to shuffle a deck of cards in a way that approaches complete randomness. Nevertheless, there has been limited investigation into shuffling machines that utilize these mathematical models. Most existing shuffling machines do not incorporate these complex mathematical concepts into a real-world setting. This study takes a step forward by developing a prototype of a shuffling machine that is rooted in advanced mathematical concepts. Specifically, it uses a probability function based on a unified convergence analysis, which is a mathematical approach that ensures the shuffling process will reach randomness efficiently. The key idea is to translate this mathematical framework into a reliable, functioning machine that can perform complex shuffles quickly and accurately. The goal is to produce a device that follows theoretical principles and works effectively in practical applications. The proposed prototype has been designed and implemented. The experimental results are impressive and demonstrate the randomness and usefulness of such a shuffling machine.
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Dynamic content selection based on an associative semantic processing network
(2012-01-01)
Nilas, P.
;
Lumpuprakarn, R.
Uniqueness of cognitive human thinking stays a secret of unrevealed natural creation. Technological intelligence has tried to mimic or follow such operation to form an even more brilliant system. This research proposes a method of e-learning or distance learning system with dynamic content nomination for each user that correspond to their learning reaction. Done by the theory of human memory or spreading activation network-SAN, the proposed e-learning system employs this human cognitive mechanism (SAN) with the system processing scheme. The system procedure with intime factors of users including system input, user reaction, service event, and content medium are processed in order to evaluate and provide most suitable advices, learning contents or learning activities for each user individually. While the user goes through the individually designed learning content, the system continues utilizing SAN to analyze in-time learning condition and furnish course agenda toward the learning objectives.
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Asymmetry regional boundary localization for indoor robot navigation
(2018-01-01)
Wanadecha, N.
;
Nilas, P.
This paper presents the new methodology of indoor localization based-on Received Signal Strength Indicator (RSSI) of Wireless Sensor Network (WSN) using Asymmetry Regional Boundary Localization (ARBL) which is designed to support mobile robot navigation. since many types of obstruction such as walls, poles, and traps in the environment may confuse robot trajectory and avoidance strategy, our main objective is to analyze our desire test bed in the form of asymmetry region with the benefit of RSSI map fingerprinting technique. The regions are created from multiple anchor nodes’ boundary intersection which is predetermined by the working range that provide the finest repeatability value. Each region is classified by supervised neural network. When the robot senses the existence of obstacle, that particular region is declared as occupied zone which is not allowed to enter during path planning process. Once the entire virtual map is acquired, suitable path is obtained by Q-learning algorithm, thus the robot can travel through the field. The experiments are performed with 2 different types of test bed. Each of which shows region classification performance of 71.9% and 85.8%, respectively. Finally, to demonstrate the effective of our method, dealing with obstacles in the field, the comparison between conventional Q-learning algorithm and our proposed method is shown. The proposed method not only gives better learning progress but also spends less computational resources, reducing the complexity of the navigation problem.
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Design and Implementation of a Prototype Card Shuffling Machine Using Unified Convergence Analysis Models
(2025-01-01)
Nilas, Phongchai
;
Nilas, Nilamit
This paper presents the design and implementation of an advanced automatic playing card shuffling machine that incorporates various shuffling techniques to effectively scramble cards. In the past, numerous mathematical concepts have been proposed to shuffle a deck of cards in a way that approaches complete randomness. Nevertheless, there has been limited investigation into shuffling machines that utilize these mathematical models. This study concentrates on developing a prototype of a card-shuffling machine that is integrated with a probability function based on the unified convergence analysis. This research transforms the mathematical theory into a practical and functioning shuffler machine as well as micro manipulators for the card input/output system. The proposed prototype has been designed and implemented. The experimental results are impressive and demonstrate the randomness and usefulness of such a shuffling machine.

Nilas, Phongchai

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