This paper presents a conversational interface that uses the speech recognition and synthesis and animation abilities of two Microsoft software agents in order to assure a more natural and efficient interface with an ...
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This paper presents a conversational interface that uses the speech recognition and synthesis and animation abilities of two Microsoft software agents in order to assure a more natural and efficient interface with an autonomous robot. The interface is used in the robotics educational process. The basic commands to be given by voice (back, right, etc.) and the control of the agents are implemented in Visual Basic. More complex control programs can be implemented and tested in Matlab and after that executed with a simple voice command. This program is used as a part of an integrated educational strategy in autonomous robotics and was evaluated by a group of students. First experimental results related to the use of this conversational interface compared to traditional robot simulation environments and control of real robots are presented in this paper with related discussions.
作者：
M. NiedzwieckiFaculty of Electronics
Telecommunications and Computer Science Department of Automatic Control Gdańsk University of Technology GdaDsk Poland
The paper presents results of local performance analysis of a generalized adaptive notch filter (GANF). Generalized adaptive notch filters are used for identification/tracking of quasi-periodically varying dynamic sys...
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The paper presents results of local performance analysis of a generalized adaptive notch filter (GANF). Generalized adaptive notch filters are used for identification/tracking of quasi-periodically varying dynamic systems and can be considered extension, to the system case, of classical adaptive notch filters. The frequency tracking properties of the algorithm are studied analytically using a direct averaging approach and an approximating linear filter (ALF) technique. Even though restricted to a single frequency case, the presented analysis provides valuable insights into the tracking mechanisms of GANF, including the associated speed/accuracy tradeoffs, the achievable performance bounds, and tracking limitations. Additionally, it allows one to formulate some useful rules of thumb for choosing design parameters. We show that under the conditions of the ALF approximation, the optimally tuned GANF is a statistically efficient estimator of a slowly drifting system frequency.
Generalized adaptive notch filters (GANF) are used for identification/tracking of quasi-periodically varying dynamic systems and can be considered extension, to the system case, of classical adaptive notch filters. We...
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Generalized adaptive notch filters (GANF) are used for identification/tracking of quasi-periodically varying dynamic systems and can be considered extension, to the system case, of classical adaptive notch filters. We analyze the enhanced GANF algorithm, proposed in the literature, which incorporates gradient smoothing. We show, both analytically and by means of computer simulation, that gradient smoothing does not improve tracking performance of generalized adaptive notch filters.
This paper proposes a density based clustering algorithm which takes obstacles into consideration. The proposed Clustering with Obstacle Entities algorithm COE-DBSCAN is based on the DBSCAN algorithm, which performs e...
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Summary form only given. A new scheme for transmitting sensitive data is proposed, the proposed scheme depends on partitioning the output of a block encryption module using the Chinese Remainder Theorem among a set of...
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Summary form only given. A new scheme for transmitting sensitive data is proposed, the proposed scheme depends on partitioning the output of a block encryption module using the Chinese Remainder Theorem among a set of channels. The purpose of using the Chinese Remainder Theorem is to hide the cipher text in order to increase the difficulty of attacking the cipher. The proposed scheme assumes the existence of a set of transmission channels between the sender and the receiver parties from which S channels are chosen using some selection criteria. The message is divided into as set of blocks of a size that is a multiple of the size of the underlying block cipher block size. The resulting N bit encrypted block is used as an N-bits integer. This integer remainders with respect to S selected relatively prime numbers are sent over the S selected channels. On the receiver side the inverse Chinese remainder is applied to get the encrypted blocks followed by a decryption operation to construct the original message. The theory, implementation and the security of this scheme are described in the paper.
In this paper a novel approach to the impulsive noise removal in color images is presented. The proposed technique employs the switching scheme based on the impulse detection mechanism using the so called peer group c...
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Differential linear repetitive processes are characterized by a series of sweeps, or passes, through a set of dynamics defined over a finite interval or duration with interaction between successive passes. They are di...
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Damage of bearings is the most common cause of failures of squirrel-cage induction motors. A faulty bearing results in additional motor vibrations. They are reflected in the harmonic content of stator currents. In cer...
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This paper is concerned with improvement of the KDI-based fault detection method so far developed by authors for nonlinear black-box systems. When modeling the system, Quasi-ARMAX model with multi-model structure is u...
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As the interest of location based-service and ubiquitous environment is proliferated, the development of technologies to determine mobile station location indoors and outdoors is basically demanded for providing vario...
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As the interest of location based-service and ubiquitous environment is proliferated, the development of technologies to determine mobile station location indoors and outdoors is basically demanded for providing various services based on user's location. Representatively, GPS(Global Positioning System) is the most well-known positioning system, but actually isn't an adequate system indoors because of the weakness of positioning signals, NLOS(Non-line of sight) and multipath. Therefore, recently in order to replace it, new technologies using WLAN have been presented. In the thesis, as estimating NLOS errors between mobile station and access points using reference points, a triangulation positioning method based on signal strength will be proposed. Also, indoor positioning experiment results will be shown.
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