g-Wu Chen

Merged Search Algorithms for Radio Frequency Identification Anticollision

Nowadays, the Radio Frequency Identification (RFID) system enables the control of many devices over an open communication infrastructure ranging from a small home area network to the global Internet. Moreover, a variety of consumer products are tagged with remotely low-cost readable identification electromagnetic tags to replace Bar Codes. Applications such as automatic object tracking, inventory and supply chain management, and Web appliances were adopted for years in many companies. The arbitration algorithm for RFID system is used to arbitrate all the tags to avoid the collision problem with the existence of multiple tags in the interrogation field of a transponder. A splitting algorithm which is called Binary Search Tree (BST) is well known for multitags arbitration. In the current study, a splitting-based schema called Merged Search Tree is proposed to capture identification codes correctly for anticollision. Performance of the proposed algorithm is compared with the original BST according to time and power consumed during the arbitration process. The results show that the proposed model can reduce searching time and power consumed to achieve a better performance arbitration.

A preliminary study on design and development of template-based for license plate recognition system applying artificial coordinates auxiliary techniques

With the rapid improvement of technology and economy, the percentage of transportation, like automobile, gradually increases. However, the number of cars increases, the methods of management stretches lots of problems, such as parking, traffic and thievery. Hence, Intelligent Transportation System (ITS) have been emphasized step by step and set up one after another around the world. In addition, ITS also established in Taiwan on July 20, 1998.

Sonar-based obstacle avoidance using a path correction method for autonomous control of a biped robot for the learning stratification and performance

In this paper, a simple path correction and obstacle avoidance method with a bipedal robot for the learning stratification and performance, using an ultrasonic sensor and electronic compass sensor, is proposed. This bipedal robot was comprised using the Lego NXT Intelligent Bricks. The proposed method is implemented on an autonomous humanoid robot (the ARSR). One ultrasonic sensor and one electronic compass sensor are installed on the ARSR to detect environmental information including obstacles, the distance to the obstacle, and the directional angle of the robot. Based on the obtained information, an obstacle avoidance and path correct method is proposed to decide the ARSRs behavior so that it can avoid obstacles and move effectively to the destination area. Obstacle avoidance experiments are carried out to confirm the effectiveness of the proposed method and confirm the learning stratification and performance.