In this paper, a Quasi-shot Segmentation Vehicle Detection (QSVD) method is proposed to improve the accuracy and robustness of traffic flow detection. The QSVD method is based on histogram intersection method to find ...
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The paper addresses the problem of air-fuel ratio (AFR) stabilization applying learning techniques. The proposed strategy consists in iterative redesign of control coefficients based on the control obtained in a previ...
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This paper describes the development of a tool for automatic generation of optimal power management strategies. Given the user inputs, which are dynamic vehicle model, driving cycle and optimization criterion, the too...
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This paper describes the development of a tool for automatic generation of optimal power management strategies. Given the user inputs, which are dynamic vehicle model, driving cycle and optimization criterion, the tool first produces a simplified powertrain model in the form of static maps, before dynamic programming is used to find an optimal torque split which minimizes the chosen criterion. The tool does not require a transparent vehicle model, which makes it possible to work on models hidden for intellectual property reasons.
The goal of innovative education in engineering field is to cultivate excellent engineering talents with high quality, innovative spirit, innovative ability and innovative quality. With the wide application of microco...
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Magnetic Resonance Imaging (MRI) guided nanorobotic systems that could perform diagnostic, curative and reconstructive treatments in the human body at the cellular and sub-cellular level in a controllable manner have ...
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ISBN:
(纸本)9781424450404
Magnetic Resonance Imaging (MRI) guided nanorobotic systems that could perform diagnostic, curative and reconstructive treatments in the human body at the cellular and sub-cellular level in a controllable manner have recently been proposed. The concept of a MRI-guided nanorobotic system is based on the use of a MRI scanner to induce the required external driving forces to guide magnetic nanocapsules to a specific target. However, the maximum magnetic gradient specifications of existing clinical MRI systems are not capable of driving superparamagnetic nanocapsules against the blood flow and therefore these MRIs do not allow for navigation. The present paper proposes a way to overcome this critical drawback through the formation of micron size agglomerations where their size can be regulated by external magnetic stimuli. This approach is investigated through modeling of the physics that govern the self-assembly of the nanoparticles. Additionally a computational tool has been developed that incorporates the derived models and performs simulation, visualization and post-processing analysis. Preliminary simulation results demonstrate that external magnetic field causes aggregation of nanoparticles while they flow in the vessel. This is a promising result -in accordance with similar experimental results- and encourages further investigation on the nanoparticle based self-assembly structures for use in nanorobotic drug delivery.
The Artificial Fish-swarm Algorithm (AFA) is an intelligent population-based optimization algorithm inspired by the behaviors of fish swarm. Unfortunately, it sometimes fails to maintain an appropriate balance between...
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In a general nonlinear control system a stabilizing control strategy is often possible if complete information on external inputs affecting the system is available. Assuming that measurements of persistent disturbance...
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The problem of air-fuel ratio (AFR) stabilization in spark ignition engines is addressed in this paper. The proposed strategy consists of proper switching among two control laws to improve the quality of the closed-lo...
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The paper focuses on the design of a velocity control system which takes into consideration the knowledge of the predicted inclinations of the road along the track of the vehicle. By using this velocity control it is ...
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