International Journal of Automation and Smart Technology (AUSMT) is a peer-reviewed, open-access journal devoted to publishing research papers in the fields of automation and smart technology. Currently, the journal is abstracted in INSPEC and DOAJ (Directory of Open Access Journals). The research areas of the journal include but are not limited to the fields of mechatronics, automation, ambient Intelligence, sensor networks, human-computer interfaces, and robotics. These technologies should be developed with the major purpose to increase the quality of life as well as to work towards environmental, economic and social sustainability for future generations.
This international journal endeavors to provide a worldwide forum for the dynamic exchange of ideas and findings from research of different disciplines from around the world. Also, AUSMT actively seeks to encourage interaction and cooperation between academia and industry along the fields of automation and smart technology.
The highlights of the latest issue selected by our Guest Editor, Dr. Chi-Hung Hwang, are the papers titled as “Simultaneous Hand-Eye-Workspace and Camera Calibration using Laser Beam Projection” and “Frequency-based Vehicle Idling Detection”.
Jwu-Sheng Hu and Yung-Jung Chang, “Simultaneous Hand-Eye-Workspace and Camera Calibration using Laser Beam Projection,” vol. 4, no. 1, pp. 27-42, 2014 (doi:10.5875/ausmt.v4i1.205)
This work presents a novel calibration technique capable of simultaneously calibrating a camera’s intrinsic parameters and hand-eye-workspace relations. In addition to relaxing the requirement of a precise calibration reference to achieve manipulator accuracy, the proposed method functions when the hand is not in the view field of the eye. The calibration method uses a laser pointer mounted on the hand to project laser beams onto a planar object, which serves as the working plane. Collected laser spot images must adhere to certain nonlinear constraints established by each hand pose and the corresponding plane-laser intersection. This work also introduces calibration methods for two cases using single and multiple planes. A multistage closed-form solution is derived and serves as the initial guess to the nonlinear optimization procedure that minimizes errors globally, allowing the proposed calibration method to function without manual intervention. The effectiveness of the proposed method is verified by comparison with existing hand-eye calibration methods via simulation and experiments using an industrial manipulator.
Kai-Chao Yang, Chih-Ting Kuo, Chun-Yu Chen, Chih-Chyau Yang, Chien-Ming Wu, and Chun-Ming Wang, “Frequency-based Vehicle Idling Detection,” vol. 4, no. 1, pp. 55-61, 2014 (doi:10.5875/ausmt.v4i1.399)
Continuous increases in fuel prices and environmental awareness have raised the importance of reducing vehicle emissions, with many national governments passing anti-idling laws. To reduce air pollution and fuel consumption, we propose a frequency-based vehicle idling detection method to remind drivers to turn off the engine vehicle idling exceeds a certain time threshold. The method is implemented in existing handheld devices without any modification to the car or engine, making the solution cheap and simple to implement in any type of motor vehicle. Experimental results show the proposed method can effectively differentiate idling, engine-off, and moving conditions. Two implementation cases are presented to demonstrate the feasibility and performance of the proposed method.
New Issue Published: New Issue of AUSMT Published Online
|New issue of International Journal of Automation and Smart Technology (AUSMT) has now been published online. To view the issue and access the 7 articles, just visit the table of contents at http://www.ausmt.org/index.php/AUSMT/issue/view/11/showToc.|
Editor’s Choice in AUSMT December Issue
The research highlight selected by our Guest Editor, Prof. Kuo-Shen Chen, is “Precision positioning with shape-memory-alloy actuators”. In this work, good positioning performance of shape-memory-alloy actuators was achieved by (1) utilizing an inverse hysteresis model to reduce the system’s nonlinearity so that the system can be modeled as a linear model, and (2) constructing the corresponding model-reference-adaptive-system (MRAS) based on this linear model.
Kai-Hung Liang, Kuo-Han Kao, and Szu-Chi Tien, “Precision positioning with shape-memory-alloy actuators,” vol. 3, no. 4, pp. 265-271, 2013 (doi: 10.5875/ausmt.v3i4.209)
The primary purpose of this study is to improve the positioning performance of shape-memory-alloy (SMA) actuators. In order to achieve this goal, the system nonlinearity was reduced with the inversion of a nonlinear model. The system could then be approximated with a linear model. It is easy to construct the corresponding model-reference-adaptive-system (MRAS) based on this linear model. Experimental results show that the MRAS is robust with respect to external disturbances and improves the positioning performance. In addition, with the proposed control scheme, the simulation results will closely match experimental results, which is useful to predict the system performance at the controller-design stage.
Vol 4, No 1 (2014)
Table of Contents
|Trend Analysis for the Market and Application Development of 3D Printing||PDF HTML|
*Intelligent Automation Technology
|Real-time image acquisition and deblurring for underwater gravel extraction by smartphone||PDF HTML|
|Ming-Fu Chen, Yi-Chiun Kung, Shih-Jie Chou, Wei-Shen Lo, Chi-Kuei Wang||5-11|
*Ambient Intelligence, Context Awareness, and Sensor Networks
|A Review of Ubiquitous Mobile Sensing Based on Smartphones||PDF HTML|
|Chih-Yen Chen, Yung-Hsiang Chen, Chun-Fu Lin, Chun-Jen Weng, Hung-Chun Chien||13-19|
*Optomechatronic Modules and Systems
|The improvement of Si0.5Ge0.5/Si interface quality by using low energy hydrogen plasma cleaning process and positron annihilation spectroscopy||PDF HTML|
|Cho-Fan Hsieh, Chen-Wei Chen, Chih-Hua Chen, Ming-Han Liao||21-26|
*Robotics, Intelligent Devices and Systems
|Simultaneous Hand-Eye-Workspace and Camera Calibration using Laser Beam Projection||PDF HTML|
|Jwu-Sheng Hu, Yung-Jung Chang||27-42|
|An Interactive Auto-recharging System for Mobile Robots||PDF HTML|
|Kuo-Lan Su, Yi-Lin Liao, Shih-Ping Lin, Sian-Fu Lin||43-53|
|Frequency-based Vehicle Idling Detection||PDF HTML|
|Kai-Chao Yang, Chih-Ting Kuo, Chun-Yu Chen, Chih-Chyau Yang, Chien-Ming Wu, Chun-Ming Wang||55-61|
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