89 Building, Department of Instrumentation and Electronics Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, 1518 Pracharat 1 Rd. Wongsawang, Bangsue, Bangkok 10800.
B.Eng. (Instrumentation System Engineering) King Mongkut University of Technology North Bangkok, Thailand,
M.Sc. (Signal Processing/ Electrical Engineering) Blekinge Institute of Technology, Sweden,
Digital Stabilizer using Adaptive CMAC Filtering
A digital Video Stabilization (DVS) system removes the unwanted shaking in the videos acquired by hand-held cameras and preserves the panning. In this paper, a digital video stabilization system is proposed based upon adaptive cerebellar model articulation controller (CMAC) filtering. A CMAC is a manifestation of the associative memory learning structure present in the cerebellum of human being. Adaptive CMAC filtering has favorable properties of small size, good generalization, rapid learning and dynamic response. Thus, it is more suitable for high-speed signal processing applications. The adaptive CMAC is used to adjust the coefficients of IIR filter employed in the proposed model. The training of CMAC is based upon fuzzy rule. The efficacy of the proposed adaptive CMAC filtering has been validated by evaluating it on a set of test video sequences.
Traffic Violation Detection using Image processing
In general, lane change violations are likely to happen before the stop line in the red-light violation detection region. The system which can be detecting red-light and lanechange violation is very useful for the traffic management. This paper present a novel method for the red-light violation detection using vehicles moving in the region of interest and combining with the evaluation of the trajectorys behavior of multiple vehicles using mean square displacement (MSD) to detected both of violation. We are using image processing technique only to detected traffic signal without help of another other system. The experiment result shows that the algorithm is high accuracy to detect both of violation.
Temperature Control using CMAC-PID
We presents a combination of a digital PID controller and Cerebellar Model Articulation Controller (CMAC) which can be implemented on a microcontroller (MCU) for the application of thermal process control. A digital artificial neural network, which utilizes supervised learning rule, is added in a feed-forward path in the traditional PID thermal process control. Hence, the stability, disturbance rejection and response time can be guaranteed. The graph showing characteristics of temperature control is shown to verify the effectiveness of the proposed method. Furthermore, the comparison to the traditional PID is provided.
• Zahoor, A.; Koodtalang, W.; Shahid, M.; Lovstrom, B., "Visual quality improvement of digital video by stabilization using adaptive CMAC filtering," Signal Processing and Communication Systems (ICSPCS), 2012 6th International Conference on , vol., no., pp.1,6, 12-14 Dec. 2012 Link
• Klubsuwan, K.; Koodtalang, W.; Mungsing, S., "Traffic Violation Detection Using Multiple Trajectories Evaluation of Vehicles," Intelligent Systems Modelling & Simulation (ISMS), 2013 4th International Conference on , vol., no., pp.220,224, 29-31 Jan. 2013 Link