In this paper fuzzy control and decision making are used to simulate the control of traffic flow at an intersection. Fuzzy logic can be used as an alternative method for control of traffic environments. A traffic envi...
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In this paper fuzzy control and decision making are used to simulate the control of traffic flow at an intersection. Fuzzy logic can be used as an alternative method for control of traffic environments. A traffic environment includes the lanes to and from an intersection, the intersection, vehicle traffic, and signal lights in the intersection. To test the fuzzy logic controller a computer simulation is constructed to model a traffic environment. A typical cross intersection was chosen for the traffic environment and the performance of the fuzzy logic controller was compared with the performance of two different types of conventional control. The fuzzy logic controller proved to be a better method of control than conventional control methods, especially in the case of highly uneven traffic flow between different directions
Navigation and collision avoidance are major areas of research in mobile robotics that involve varying degrees of uncertainty. In general, the problem consists of achieving sensor based motion control of a mobile robo...
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Navigation and collision avoidance are major areas of research in mobile robotics that involve varying degrees of uncertainty. In general, the problem consists of achieving sensor based motion control of a mobile robot among obstacles in structured and/or unstructured environments with collision-free motion as the proirity. A fuzzy logic based intelligent control strategy has been developed here to computationally implement the approximate reasoning necessary for handling the uncertainty inherent in the collision avoidance problem.< >
This paper presents a neural network approach to differential pulse code modulation (DPCM) design for the encoding of images. Instead of traditional algorithms for the computation of the relevant coefficients, such as...
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This paper presents a neural network approach to differential pulse code modulation (DPCM) design for the encoding of images. Instead of traditional algorithms for the computation of the relevant coefficients, such as the autocovariance and autocorrelation methods, the predictor is designed by supervised training of a neural network on examples, i.e. on a typical sequence of pixel values. This allows the use of nonlinear as well as linear correlations. Efficient and fast neural net architectures, for nonlinear one-dimensional DPCM (NNDPCM) as well as two-dimensional adaptive DPCM (NNADPCM), have been designed and applied to still image coding. computer simulation experiments have shown that the resulting encoders work very well. At a transmission rate of 1 bit/pixel, the 1-D NNDPCM offers an advantage of about 4dB in peak signal-to-noise ratio over the standard linear DPCM system. At a bit rate of 0.525 bit/pixel, the 2-D NNADPCM achieves 29.5 dB for the 512 x 512 Lena image, while there is little visible distortion in the reconstructed image. This performance is comparable to that of the best schemes known to date, whether DPCM based or not, while maintaining a lower encoding complexity. Furthermore, this establishes that there is substantial amount of nonlinear content available for 1-D and 2-D prediction in DPCM image coding.
The performance of the CEBus, a proposed computer network standard for the intelligent home, implemented with Power Line (PL) and Twisted Pair (TP) media, interconnected through a router, has been investigated. The de...
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The performance of the CEBus, a proposed computer network standard for the intelligent home, implemented with Power Line (PL) and Twisted Pair (TP) media, interconnected through a router, has been investigated. The delay and throughput characteristics of each of the three priority class of messages, i.e., DEFERRED, STANDARD and HIGH, have been measured. Overall, the PL - Router - TP network system has behaved well and as expected, however care must be taken to restrict traffic from the high (TP) to the low (PL) capacity medium to reasonable levels from the point of view of the low capacity medium.
The delay and throughput of the Consumer Electronics Bus (CEBus) with two media, Power Line (PL) and Twisted Pair (TP), interconnected through a new-type of router, a controlled router, have been investigated with thr...
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The delay and throughput of the Consumer Electronics Bus (CEBus) with two media, Power Line (PL) and Twisted Pair (TP), interconnected through a new-type of router, a controlled router, have been investigated with three priorities HIGH, STANDARD, and DEFERRED. The controlled router aims to provide fair channel access opportunity for intra-network traffic for messages of all priorities, even in the presence of large inter-network traffic. It reduces excessive channel access by inter-network traffic through the router, even when the router is assigned HIGH priority, and maintains the delay of intra-network traffic at reasonable levels. The results of the simulation experiments have shown that the controlled router with HIGH priority achieves all its goals. The message delay of HIGH for the inter-network traffic on the PL is of larger value than that of HIGH and STANDARD for intra-network traffic at light load, and is smaller than that of the STANDARD and DEFERRED at heavy load. Moreover, the intra-network message throughputs and delays of STANDARD and DEFERRED have improved greatly, in comparison to a traditional uncontrolled router, at only a small cost in inter-network HIGH performance.
This paper addresses two issues of the Consumer Electronics Bus (CEBus) implemented on the Power Line medium: the determination of (a) optimum packet length, and (b) optimum buffer size. The delay-throughput character...
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This paper addresses two issues of the Consumer Electronics Bus (CEBus) implemented on the Power Line medium: the determination of (a) optimum packet length, and (b) optimum buffer size. The delay-throughput characteristics of each of the three priority classes of messages, i.e., HIGH, STANDARD, and DEFERRED, have been measured by simulation experiments for various packet lengths and buffer sizes. This way optimum packet length and buffer sizes have been deduced. The optimum packet length has been obtained by evaluating the effect of increasing packet size for a particular traffic pattern and offered load. The optimum buffer size at a node corresponds to the best overall performance for messages of all priorities in terms of overflow rates at the buffers of the nodes with respect to increasing offered loads. The optimum packet length has been found to be between 276 and 400 USTs, i.e., 184 and 276 bits. If we assign 276 USTs as the optimum packet length, the optimum buffer size at each node is found to be between 150 and 200 packets, i.e., approximately 28 to 37 Kbits.
Being able to determine the position of an indoor autonomous robot in an accurate and robust way is an essential component of a workable navigation strategy. This paper describes a technique which combines ultrasonic ...
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A design of a three-dimensional localiser that is intended for autonomous robot vehicles is presented. The design is implemented in air using ultrasonic beacons but can be adapted using sonar to underwater environment...
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