FMCW radar has been proposed in the literature as a reader for long distance transponders for wireless local positioning systems and sensing. One of the major challenges for positioning and for RFID systems are the di...
FMCW radar has been proposed in the literature as a reader for long distance transponders for wireless local positioning systems and sensing. One of the major challenges for positioning and for RFID systems are the disturbances due to multipath propagation. In addition, low-cost FMCW radars are often based on homodyne receivers, where the minimum measurement distance is limited by the transmitter coupling and the phase noise interference in the low-frequency band of the spectrum. To mitigate these problems, backscatter transponders have been proposed. This works presents an actively-controlled frequency selective surface (FSS) to implement a backscatter transponder at X band. The FSS is composed by dipoles loaded with PIN diodes which act as switching elements. The transponder exploits the change in the radar cross section (RCS) of the FSS to modulate the field illuminated by the FMCW radar. This change is performed varying the bias of the diodes. The basic operation theory of the system will be described. An experimental setup based on a commercial 9.25–10.75 GHz FMCW radar working as a reader is proposed to measure the transponders. The transponder response can be distinguished from the interference of non-modulated clutter, modulating the transponder's RCS. Some FSS with different number of dipoles are studied, as a proof of concept. Measurements at several distances are provided with a 10 dipoles prototype. The tag distance can be obtained from the frequency offset between the peaks around the modulating frequency. The standard deviation error is 12 cm.
In recent years automation systems have been required to provide characteristics of flexibility and efficiency in order to cope with the fast changes of the market and consumer demands. To deal with these requirements...
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In recent years automation systems have been required to provide characteristics of flexibility and efficiency in order to cope with the fast changes of the market and consumer demands. To deal with these requirements, the industry has started to implement reconfiguration techniques in order to allow the automation system to reschedule the production, recover from faulty situations and to update the controller at run time, among others. Previous works of authors have been aimed at a model-based definition of the plant components and operations, related to a product. Additionally, automatic code generation has been proposed to obtain an optimal control sequence. This paper extends these previous works with an architecture that generates and updates the software architecture of a Programmable Logic controller during runtime, in response to changes on the plant layout, the product to be manufactured or the control hardware.
This paper proposes a method for planning a team of mobile robots such that they accomplish a set of tasks. The environment and the movement capabilities of mobile robots are represented by a Petri net model. Each tas...
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This paper proposes a method for planning a team of mobile robots such that they accomplish a set of tasks. The environment and the movement capabilities of mobile robots are represented by a Petri net model. Each task is located in a given location and its accomplishment requires a certain number of robots to be present in that place. The order for serving the tasks and firing count vectors for the model result from solving an Integer Linear Programming optimization. Structural properties of the Petri net model allow us to develop an algorithm that produces robot strategies composed from movements, waiting and task serving.
This paper presents an open-source Matlab-based interactive software tool for teaching mobile robotics in introductory courses. In particular, it deals with the subjects: modeling, path planning, and motion control. T...
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This paper presents an open-source Matlab-based interactive software tool for teaching mobile robotics in introductory courses. In particular, it deals with the subjects: modeling, path planning, and motion control. This simulator offers the advantage of testing different aspects related to these fundamental topics and instantly seeing the result in a Graphical User Interface (GUI). This fact leads to a high realism in interactivity, while no previous knowledge in Matlab or programming is required. Additionally, it constitutes an easily scalable tool, the GUI has been properly designed with just one single window with straightforward and intuitive buttons, icons, and figures. Some illustrative examples demonstrate the benefits of the proposed simulator.
The primary objective is to investigate the applicability of spectral methods for designing feedback controllers for a closed loop system with an input shaper with time delays. The shaper is included in the feedback l...
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Automated HEp-2 mitotic cell recognition in IIF images is an important and yet scarcely explored step in the computer-aided diagnosis of autoimmune disorders. Such step is necessary to assess the goodness of the HEp-2...
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ISBN:
(纸本)9781424492695
Automated HEp-2 mitotic cell recognition in IIF images is an important and yet scarcely explored step in the computer-aided diagnosis of autoimmune disorders. Such step is necessary to assess the goodness of the HEp-2 samples and helps the early diagnosis of the most difficult or ambiguous cases. In this work, we propose a completely unsupervised approach for HEp-2 mitotic cell recognition that overcomes the problem of mitotic/non-mitotic class imbalance due to the limited number of mitotic cells. Our technique automatically selects a limited set of candidate cells from the HEp-2 slide and then applies a clustering algorithm to identify the mitotic ones based on their texture. Finally, a second stage of clustering discriminates between positive and negative mitoses. Experiments on public IIF images demonstrate the performance of our technique compared to previous approaches.
Time-up and Go Test (TUGT) is a common clinical motility test for the elderly. Currently it is measured manually, which is human resource consuming, less accurate, and limited in capability of measuring sophisticated ...
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ISBN:
(纸本)9781479983926
Time-up and Go Test (TUGT) is a common clinical motility test for the elderly. Currently it is measured manually, which is human resource consuming, less accurate, and limited in capability of measuring sophisticated parameters. In this paper, we propose a system consisting of three inertial-sensor-based measuring components, a remote controller, and an analysis software for automatic balance and gait analysis in TUGT. This system is designed to be of easy use with the software automatically measuring the time intervals of stand-up time, sit-down time, and the total time of test. In addition, the system can also obtain the gait information of stride time, swing time, and stance time. To validate the system, we compared the performance with that obtained from stopwatch using videos as the gold standard. The results indicate that the system not only provides a convenient way of measurement but also achieves higher accurate and reliable measurement results than using stopwatch. We use this system to compare the Alzheimer's disease patients (ADs) with health controllers (HCs). The results show that the ADs need longer stand-up time, sit-down time, and total time while taking the TUGT compared to the HCs. The stride time, swing time, and stance time are also longer than the HCs'. Such a friendly system provides high potential in tracking long-time patterns for diagnosis.
The paper proposes a simple Takagi-Sugeno PI-fuzzy controller for an anaerobic digestion process. A fifth order nonlinear model of the anaerobic digestion process is first presented. A second order linear model of the...
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The paper proposes a simple Takagi-Sugeno PI-fuzzy controller for an anaerobic digestion process. A fifth order nonlinear model of the anaerobic digestion process is first presented. A second order linear model of the process is next proposed, and the parameters of the linear model are obtained from an optimization problem solved by a Gravitational Search Algorithm. A PI controller is designed for the linear process model using a frequency domain approach in terms of imposing the phase margin. The Takagi-Sugeno PI-fuzzy controller is designed on the basis of the linear PI controller. The Takagi-Sugeno PI-fuzzy controller is validated by simulation using the nonlinear process model in the fuzzy control system.
The focus in this paper is on active fault diagnosis (AFD) in closed-loop sampleddata systems. Applying the same AFD architecture as for continuous-time systems does not directly result in the same set of closed-loop ...
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Drive cycle following is important for concept comparisons when evaluating vehicle concepts, but it can be time consuming to develop good driver models that can achieve accurate following of a specific velocity profil...
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Drive cycle following is important for concept comparisons when evaluating vehicle concepts, but it can be time consuming to develop good driver models that can achieve accurate following of a specific velocity profile. Here, a new approach is proposed where a simple driver model based on a PID controller is extended with an Iterative Learning control (ILC) algorithm. Simulation results using a nonlinear vehicle and control system model show that it is possible to achieve very good cycle following in a few iterations with little tuning effort. It is also possible to utilize the repetitive behavior in the drive cycle to accelerate the convergence of the ILC algorithm even further.
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