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Traffic systems are difficult to be controlled with a simple linear algorithm because of their highly-nonlinear natures with different vehicle types, speeds, lengths, and flow rates; moreover, they are time-varied especially in urban areas and industrial parks with high-density employees. This paper will present a traffic flow control strategy with a fuzzy and adaptive algorithm to control traffic...
In this paper, the adaptive fuzzy control method is adopted to improve the traffic network. To deal with traffic during the rush hours, fuzzy controllers commonly switch signals more frequently according to certain circumstances, but it is not practical for real traffic control. In this paper, the adaptive control is concerned to satisfy real applications. The proposed controller adopts more simplified...
This paper presents a real-time human-robot interface system (HRIS), which processes both speech and vision information to improve the quality of communication between human and an autonomous mobile robot. The HRIS contains a real-time speech attention system and a real-time face tracking system. In the speech attention system, a microphone-array voice acquisition system has been developed to estimate...
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