The wind is the main factor to influence the propagation of gas in the atmosphere. Therefore, the wind signal obtained by anemometer will provide us valuable clues for searching gas leakage sources. In this paper, the...
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In this paper, an effective motion comparison method based on segmented multi-joint line graphs combined with the SIFT feature matching method is proposed. Firstly, the multi-joint 3D motion data are captured using th...
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In traditional biomechanical analysis of upper limb, the high-precision motion data and lifelike human models are needed. It is obvious that those processes are costly and time-consuming. In this paper, a novel and si...
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Purpose–Artificial bee colony(ABC)algorithm is a relatively new optimization method inspired by the herd behavior of honey bees,which shows quite *** purpose of this paper is to propose an improved ABC optimization a...
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Purpose–Artificial bee colony(ABC)algorithm is a relatively new optimization method inspired by the herd behavior of honey bees,which shows quite *** purpose of this paper is to propose an improved ABC optimization algorithm based on chaos theory for solving the push recovery problem of a quadruped robot,which can tune the controller parameters based on its search *** simulation environment is adopted to implement the proposed scheme for the quadruped ***/methodology/approach–Maintaining balance is a rather complicated global optimum problem for a quadruped robot which is about seeking a foot contact point prevents itself from falling *** ensure the stability of the intelligent robot control system,the intelligent optimization method is *** proposed chaotic artificial bee colony(CABC)algorithm is based on basic ABC,and a chaotic mechanism is used to help the algorithm to jump out of the local optimum as well as finding the optimal *** implementation procedure of our proposed chaotic ABC approach is described in ***–The proposed CABC method is applied to a quadruped robot in ADAMS *** the CABC to implement,the quadruped robot can work smoothly under the interference.A comparison among the basic ABC and CABC is *** results verify a better trajectory tracking response can be achieved by the proposed CABC method after control parameters *** implications–The proposed CABC algorithm can be easily applied to practice and can steer the robot during walking,which will considerably increase the autonomy of the ***/value–The proposed CABC approach is interesting for the optimization of a control scheme for quadruped robot.A parameter training methodology,using the presented intelligent algorithm is proposed to increase the learning *** experimental results verify the system stabilization,favorable performance and no chattering phenomena can be
Virtual instrumentation is used increasingly along with traditional measurement devices. They allow measurement and control of various parameters, simulated testing of models of real processes and provide convenient u...
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It has been recognized by many researchers that accurate bus travel time prediction is critical for successful deployment of traffic signal priority (TSP) systems. Although there exist a lot of studies on travel time ...
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It has been recognized by many researchers that accurate bus travel time prediction is critical for successful deployment of traffic signal priority (TSP) systems. Although there exist a lot of studies on travel time prediction for Advanced Traveler Information systems (ATIS), this problem for TSP purpose is a little different and the amount of literature is limited. This paper proposes a deep learning based approach for continuous travel time prediction problem. Parameters of the deep network are fine-tuned following a layer-by-layer pre-training procedure on a dataset generated by traffic simulations. Variables that may affect continuous travel time are selected carefully. Experiments are conducted to validate the performance of the proposed model. The results indicate that the proposed model produces prediction with mean absolute error less than 4 seconds, which is accurate enough for TSP operations. This paper also reveals that, except for obvious factors like speed, travel distance and traffic density, the signal time when the prediction is made is also an important factor affecting travel time.
To avoid structural damage, a wind turbine is equipped with a safety supervisor that triggers an emergency shutdown procedure in case of internal faults or large wind gusts. This paper leverages the (compositional) ba...
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Inspired by the biological RNA, a circular genetic operators based RNA genetic algorithm (cRNA-GA) is proposed to estimate the model parameters of the proton exchange membrane fuel cell (PEMFC). To maintain the popula...
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This paper considers the problem of attitude synchronization for a group of flexible spacecraft based on distributed attitude cooperative control strategy. Based on the backstepping design, non-smooth control, and the...
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