The dynamic window approach to collision avoidance is a well-known method in the mobile robotics field. It provides an elegant way to navigate safely in the presence of obstacles, also taking the dynamic properties of...
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The dynamic window approach to collision avoidance is a well-known method in the mobile robotics field. It provides an elegant way to navigate safely in the presence of obstacles, also taking the dynamic properties of the robot into account. There are different variants of this method, all having the same limitation, namely they use an objective function consisting of weighted terms. Different situations require different weights, however, there is no algorithm for choosing them. An inappropriate weighting can inhibit reaching the goal. This paper presents a navigation scheme based on the idea of dynamic window approach (DWA) and using receding horizon control (RHC). This method uses an objective function that does not contain weights. Kinematic and dynamic constraints of the robot are taken into account and a safe and goal-oriented motion is ensured.
Software quality is always the target of disagreement between developers and users because of its subjective nature. The problem with software quality is the lack of formal definitions. Furthermore, quality metrics ar...
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Software quality is always the target of disagreement between developers and users because of its subjective nature. The problem with software quality is the lack of formal definitions. Furthermore, quality metrics are based on empirical indices. This paper presents a method to the application of formal modeling techniques in the subject of software quality verification. We give a high-level view of the approach, leaving the deep details for a later discussion. We also provide a short summary of Software Quality models and standards.
Failures of ultrahigh speed induction machines (USIM) experienced in the laboratory initiated the current study. The USIM was supplied by Voltage Source Converter (VSC) controlled by Space Vector Modulation (SVM) to g...
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Failures of ultrahigh speed induction machines (USIM) experienced in the laboratory initiated the current study. The USIM was supplied by Voltage Source Converter (VSC) controlled by Space Vector Modulation (SVM) to generate electric power by utilizing renewable energy resources. Three different sampling techniques, the Regular Sampled, Naturally Sampled and the Oversampled are investigated by simulations and tests. It was found that subharmonic flux with considerable amplitudes can be generated in USIM. It can cause high level of additional winding losses in the rotor that could lead to the damage of the machine. The investigation is focused on the generation of subharmonics.
The aim of this paper is to place the relation of human and intelligent devices on a new, ethologically inspired base. So far, when designing intelligent device interaction mainly human to human type interactions were...
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Telesurgery means the remote application of interventional medical techniques;a concept that is currently widely practiced around the world for short distance through master-slave robot systems. The concept has the po...
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Modality is a key facet in medical image retrieval, as a user is likely interested in only one of e.g. radiology images, flowcharts, and pathology photos. While assessing image modality is trivial for humans, reliable...
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Modality is a key facet in medical image retrieval, as a user is likely interested in only one of e.g. radiology images, flowcharts, and pathology photos. While assessing image modality is trivial for humans, reliable automatic methods are required to deal with large un-annotated image bases, such as figures taken from the millions of scientific publications. We present a multi-disciplinary approach to tackle the classification problem by combining image features, meta-data, textual and referential information. Our system achieved an accuracy of 96.86% in cross-validation on the ImageCLEF 2011 training dataset having 18 imbalanced modality classes, and an accuracy of 90.2% on the Image- CLEF2010 dataset having 8 well-balanced modality classes. We evaluate the importance of the individual feature sets in detail, and provide an error analysis pointing at weaknesses of our method and obstacles in the classification task. For the benefit of the image classification community, we make the results of our feature extraction methods publicly available at http://***/illes/imageclef2011modality. Keywords: image classification, image feature extraction, image modality, text mining.
Consumer electronic devices have become a part of our everyday lives. A statistically non-negligible percentage of electric loads on the power network is represented by these devices. Consumer electronics notoriously ...
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Consumer electronic devices have become a part of our everyday lives. A statistically non-negligible percentage of electric loads on the power network is represented by these devices. Consumer electronics notoriously consume DC power, at several voltage levels ranging anywhere from 1.8 to 24 V, in the absence of unified standards. As a consequence, each load is served from the AC network through several conversion stages, which is not the most efficient solution. The problem of efficiency exists not only on a global level, but locally, too. On a local level efficiency can be improved by connecting several converters in parallel and setting their operating point as close to the maximum efficiency point as possible. This can be implemented by means of multi-agent based load sharing algorithms [1]. These intelligent agents (IA) are negotiating at the load distribution between converters and aim at achieving maximum overall efficiency. Other optima can also be targeted at the same time. The paper presents a model based on DC/DC buck converters and its experimental verification.
In the nodes of computer networks the Active Queue Management (AQM) is responsible for managing the messages to be transmitted. Because of the time required for this service the messages delay in the nodes. This delay...
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In the nodes of computer networks the Active Queue Management (AQM) is responsible for managing the messages to be transmitted. Because of the time required for this service the messages delay in the nodes. This delay is much larger than a message transmission time is. The delays of these services lead to the congestion problem. These services can be examined as typical control systems. Although studies indicate that in AQM systems a PI controller works better than a TCP/IP RED algorithm, in a simplified model of TCP these differences decrease the effectiveness of the controller which was designed by the classical control theory. In these cases the structure of the Differentiated Services is proposed to apply to achieve adequate levels of the QoS services in a TCP/IP network. In this article an AQM system is designed, which is met on the demands of intensive usage and it includes the round trip delays as well as detection of lost packets if any. To achieve our goals, a predictive sliding mode control system (SMC) is designed to control congestion. This control strategy helps us to take into consideration the effects of round trip time, too. Implementation results demonstrate the effectiveness of the controller in providing queue management.
This paper compares the energy and time needed to convey one information unit from source to destination using multi hop networks versus overlay networks. For a set of realistic parameters the paper will show that mul...
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The quality of a Fuzzy Logic Controller (FLC) for control nonlinear systems highly depends on the used operators. Using the uninorm operators in these processes the FLC components can be adapted to achieve better resu...
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