The paper is concerned with Kalman filtering for wireless sensor network (WSN) with multiple multiplicative noises. Two measurements which are received through two different channels are considered in this system, and...
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The paper is concerned with Kalman filtering for wireless sensor network (WSN) with multiple multiplicative noises. Two measurements which are received through two different channels are considered in this system, and some packets are lost independently. Kalman. lter for the above system is presented by solving a Lyapunov equation and a Riccati equation. Moreover, the optimal. lter for the case of the system with multiple multiplicative noises is also presented. Furthermore, some results for the Lyapunov equation and the Riccati equation are proposed to analyze the performances of the Kalman filters.
A bio-check unit and health index were developed to evaluate personal health grade. The bio-check unit conducts health-related surveys and noninvasive measurements of physiological signals. Four health indices were de...
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In this paper, a development of magnetic position meter for unmanned ground vehicle or automated vehicle system using two-wired-interface(TWI) communication is presented. Usually, a magnetic position meter is installe...
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In this paper, a development of magnetic position meter for unmanned ground vehicle or automated vehicle system using two-wired-interface(TWI) communication is presented. Usually, a magnetic position meter is installed under the bumper of an automated vehicle to detect magnetic markers or magnetic wire. The previous developed magnetic position meter is composed of several sub-boards with magnetic sensors, which use the parallel communication with each board. In order to overcome the limitation and minimize the size of the magnetic position meter, a serial communication should be applied. In this paper, we apply TWI communication to the board of magnetic sensors. The developed magnetic position meter is installed on the automated vehicle, and shows the high performance in the automatic driving test.
A map generated from ground-based threedimensional LIDAR data is a critical component for autonomous vehicle navigation using a vision based sensor. When the size of a map is large and the number of grid cells is rela...
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A map generated from ground-based threedimensional LIDAR data is a critical component for autonomous vehicle navigation using a vision based sensor. When the size of a map is large and the number of grid cells is relatively big, managing the map associated with a dense data set from 3D LIDAR scanner is a demanding task. Wavelets serve as the basis for an efficient compression scheme which makes it possible to significantly reduce processing effort to generate and manage a grid map in real-time. This research proposes a novel approach to generate an occupancy map from compressed measurement signals. A one-dimensional Haar wavelet transform has been applied to compress 3D scan data, from which occupancy maps have been generated. Our experimental results show that this method performs well to provide an autonomous vehicle with rich 3D environment information. As an alternative method to reduce 3D scan data, Compressive Sensing is also adopted in this research. Compressive Sensing uses a small sub set of data to recover the unknown original data. Utilization of Compact Sensing might lead us to the development of a favorable sensing system;however, conventional compressive sensing recovery algorithms might require a non-trivial amount of computing. With sparse Bayesian learning algorithm, compressive sensing can provide a fast and cost effective solution for acquisition systems characterized by large data set.
This paper proposes the integration of photovoltaic (PV) and energy storage systems for sustained power generation. In this proposed system, whenever the PV system cannot completely meet load demands, the super capaci...
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In this paper, we propose an incremental method of Granular Networks (GN) to construct conceptual and computational platform of Granular Computing (GrC). The essence of this network is to describe the associations bet...
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In this paper, we propose an incremental method of Granular Networks (GN) to construct conceptual and computational platform of Granular Computing (GrC). The essence of this network is to describe the associations between information granules including fuzzy sets formed both in the input and output spaces. The context within which such relationships are being formed is established by the system developer. Here information granules are built using Context-driven Fuzzy Clustering (CFC). This clustering develops clusters by preserving the homogeneity of the clustered patterns associated with the input and output space. The experimental results on well-known software module of Medical Imaging System (MIS) revealed that the incremental granular network showed a good performance in comparison to other previous literature.
Two important factors in damage tolerance engineering are the damage size that can be tolerated and the use of applied nondestructive testing (NDT) technique for detection of defects. Generally, NDT of large mechanica...
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This paper investigates the problem of robust D-stabilization for polynomial matrix polytopes. By employing proportional-derivative (PD) state-feedback controllers, a new sufficient condition is formulated in terms of...
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In this paper, we propose an incremental method of Granular Networks (GN) to construct conceptual and computational platform of Granular Computing (GrC). The essence of this network is to describe the associations bet...
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ISBN:
(纸本)9781424469826;9788988678183
In this paper, we propose an incremental method of Granular Networks (GN) to construct conceptual and computational platform of Granular Computing (GrC). The essence of this network is to describe the associations between information granules including fuzzy sets formed both in the input and output spaces. The context within which such relationships are being formed is established by the system developer. Here information granules are built using Context-driven Fuzzy Clustering (CFC). This clustering develops clusters by preserving the homogeneity of the clustered patterns associated with the input and output space. The experimental results on well-known software module of Medical Imaging System (MIS) revealed that the incremental granular network showed a good performance in comparison to other previous literature.
robots are expected to come in direct contact with human at care facilities and/or homes soon. Motivated by the application of holding and/or transferring a patient applying a robot, this paper introduces the dynamic ...
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