Nilas, Phongchai

Preferred name

Nilas, Phongchai

Alternative Name

Nilas, P.

Main Affiliation

School of Engineering

phongchai.ni@kmitl.ac.th

Now showing 1 - 7 of 7

Some of the metrics are blocked by your
consent settings
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.
Some of the metrics are blocked by your
consent settings
Prototypical robotic fish with swimming locomotive configuration in fluid environment
(2011-07-26)
Nilas, P.
;
Suwanchit, N.
;
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.
Some of the metrics are blocked by your
consent settings
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.
Some of the metrics are blocked by your
consent settings
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.
Some of the metrics are blocked by your
consent settings
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.
Some of the metrics are blocked by your
consent settings
Simultaneous mean brightness preservation and contrast improvement via multi-peak Histogram Equalization
(2011-01-01)
Cheevasuvit, Fusak
;
Phanthuna, Nattapong
;
Nilas, Phongchai
Histogram Equalization is a traditional image improvement method for enhancing image contrast. However, this image contrast improvement is unsuitable for some consumer electronic applications since mean brightness of output image is different from that of the original image. Nevertheless, when the average brightness of the output image is close to the mean brightness of the original image, its contrast is also decreased thereby reducing efficiency of contrast improvement algorithm. In this paper, we propose a method that not only preserves the mean brightness but also improves the contrast of the output image. By separating the Histogram into Sub-histograms or Multi-peak histogram based on local minima, each sub-histogram will be spread out in a maximum dynamic range based on their gray level interval proportions. Subsequently, the conventional histogram equalization is independently applied to sub-histogram of each peak. To preserve the mean brightness, positions of local minima will be finely adjusted by shifting them within a certain gray scale interval. During each adjustment, sub-histograms of the two local minima which connected to the new local minimum point are re-equalized again. Finally, standard deviation will be normalized in order to improve contrast of the output image. © 2011 The Institute of Electrical Engineers of Japan.
Some of the metrics are blocked by your
consent settings
An implementation on 3D positioning aquatic robot
(2016-01-01)
Ratanajaratrod, T.
;
Nilas, P.
This paper presents a study and design of a robotic fish that imitates bladder function of a fish by focusing on the orientation performance. The main focus of the research is to develop the robotic fish which can perform the natural orientation of a fish. Not only the turning maneuver of the robotic fish takes place in horizontal plane or vertical plane at a time, but also in both of horizontal and vertical planes simultaneously. The orientation of the robot is conducted by anti-weight equilibriums, which are installed near the center of gravity of the robot, to maintain the desired position. The collection of robotic orientations is operated by designed apparatus including 4 anti-weight objects which attached with servo motors for rolling and pitching. The implementation of the proposed robotic fish shows a good performance as well as illustrate the robustness of such a robotic framework.

Nilas, Phongchai

Filters

Settings

Sort By

Results per page