In this paper we present a novel approach for biometric identification using electroencephalogram (EEG) signals based on features extracted with the Hilbert-Huang Transform (HHT). The instantaneous amplitude and the i...
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ISBN:
(纸本)9781479952083
In this paper we present a novel approach for biometric identification using electroencephalogram (EEG) signals based on features extracted with the Hilbert-Huang Transform (HHT). The instantaneous amplitude and the instantaneous frequency were computed after the HHT, and these were then used to generate the features for classification. The proposed system was evaluated using two publicly available databases in scenarios where only a single electrode is used to provide biometric information. One database (with 122 subjects) has the users viewing a series of pictures while the other one (with 109 subjects) has the users performing motor/imagery tasks. Average identification accuracies of 96% and 99% were reached for these two databases respectively using only a single electrode. These compare favourably with previously published results employing a variety of other features and classification approaches.
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate the program. The approach uses the SPMD ...
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ISBN:
(纸本)0769520189
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate the program. The approach uses the SPMD model and is based on the structural data parallel approach [12]. The process of parallelizing the algorithm employs HPF to generate an MPI-based program and the performance behavior was analyzed on two different cluster architectures.
The widespread application of multimedia wireless services and requirement of ubiquitous access have triggered rapidly booming energy consumption at both the base station side. Hence, energy-efficient design in wirele...
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ISBN:
(纸本)9781424492688
The widespread application of multimedia wireless services and requirement of ubiquitous access have triggered rapidly booming energy consumption at both the base station side. Hence, energy-efficient design in wireless networks is very important and is becoming an inevitable trend. In this paper, we study energy-efficient resource allocation in downlink cellular OFDMA networks. For the downlink transmission, the weighted energy efficiency (EE) is maximized under certain prescribed per-user quality-of-service (QoS) requirements. We first obtain the optimal solution then propose a suboptimal approach by exploring the inherent structure and property of the energy-efficient design to reduce complexity. Simulation results show that the energy-efficient design greatly improves EE compared with that of the conventional spectral-efficient design and our low-complexity suboptimal approaches can achieve promising tradeoff between performance and complexity.
Continuous Twisting algorithm (CTA) for systems of order n allows to compensate theoretically exactly Lipschitz time perturbations, generating a continuous control signal and ensuring finite-time convergence to a slid...
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ISBN:
(纸本)9781509028733
Continuous Twisting algorithm (CTA) for systems of order n allows to compensate theoretically exactly Lipschitz time perturbations, generating a continuous control signal and ensuring finite-time convergence to a sliding mode of order (n + 1). In this paper an idea of a recursive procedure for Lypaunov Function (LF) and gains design for n - th order CTA is proposed. The procedure consists in constructing a homogeneous LF for the n-th order CTA as a sum of three generalized homogeneous polynomials of the same degree: (i) a LF for the continuous state feedback controlled system of order n;(ii) a LF for CTA of order (n-1) and (iii) some extra cross terms. The two first terms can in turn be constructed in a recursive form. The proposed idea is illustrated with the design of a LF and gains for the second order CTA. Furthermore, the proposed procedure allows to select the control gains of the CTA for third order systems and to prove global finite-time stability.
This paper presents a comprehensive review of the ARPANET routing algorithm, from its original implementation to our plans for future modifications. We hope that by collecting this information, and by providing consid...
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Anomalies of multitier services running in cloud platform can be caused by components of the same tenant or performance interference from other tenants. If the performance of a multitier service degrades, we need to f...
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ISBN:
(纸本)9781538627044
Anomalies of multitier services running in cloud platform can be caused by components of the same tenant or performance interference from other tenants. If the performance of a multitier service degrades, we need to find out the root causes precisely to recover the service as soon as possible. In this paper, we argue that cloud providers are in a better position than tenants to solve this problem, and the solution should be non-intrusive to tenants' services or applications. Based on these two considerations, we propose a solution for cloud providers to help tenants to localize root causes of any anomaly. We design a non-intrusive method to capture the dependency relationships of components, which improves the feasibility of root cause localization system. Our solution can find out root causes no matter they are in the same tenant as the anomaly or from other tenants. Our proposed two-step localization algorithm exploits measurement data of both application layer and underlay infrastructure and a random walk procedure to improve its accuracy. Our real-world experiments of a three-tier web application running in a small-scale cloud platform show a 38.9% improvement in mean average precision compared to current methods.
Application of an evolutionary algorithm in designing an artificial electromagnetic conductor (AMC) at 12 GHz is explained in this paper. To do so, a binary version of particle swarm optimization algorithm in connecti...
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ISBN:
(纸本)9781509044511
Application of an evolutionary algorithm in designing an artificial electromagnetic conductor (AMC) at 12 GHz is explained in this paper. To do so, a binary version of particle swarm optimization algorithm in connection with EM simulation is used, resulting in an AMC with 29% fractional bandwidth at the operating frequency.
The dynamic characteristics of a hydraulic turbine governing system is determined by the parameters of the hydraulic turbine *** are several drawbacks of the conventional particle swarm alg
ISBN:
(纸本)9781509053643;9781509053636
The dynamic characteristics of a hydraulic turbine governing system is determined by the parameters of the hydraulic turbine *** are several drawbacks of the conventional particle swarm alg
In this paper, we propose a novel architecture for implementing the Goertzel algorithm for exon prediction. Compared to previous designs, this one does not require multiple retransmissions which increase the number of...
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ISBN:
(纸本)9781467302197
In this paper, we propose a novel architecture for implementing the Goertzel algorithm for exon prediction. Compared to previous designs, this one does not require multiple retransmissions which increase the number of clock cycles required to complete an operation. The proposed design is able to produce a new output on every clock cycle, which improves the throughput by roughly thirty times. The system was implemented on a Cyclone II FPGA located on the DE2 board. The FPGA is clocked at 50MHz and synthesis results show that the system requires 1172 logic elements (4% of total ressources) and 12 embedded multipliers (17% of total ressources). Tests using real genetic sequences show that the system produces the same results as with a MATLAB implementation and is able to successfully identify coding regions.
Path planning for automated parking remains challenged by the demand to balance general parking scenarios and computational efficiency. This paper proposes a two-stage rapid-exploring random tree (RRT) algorithm to im...
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ISBN:
(纸本)9781509067817
Path planning for automated parking remains challenged by the demand to balance general parking scenarios and computational efficiency. This paper proposes a two-stage rapid-exploring random tree (RRT) algorithm to improve the computational efficiency. At first the proposed algorithm performs space exploration and establishes prior knowledge, represented as waypoints, using cheap computation. Secondly a waypoint-guided RRT algorithm, with a sampling scheme biased by the waypoints, constructs a kinematic tree connecting the initial and goal configurations. Numerical study demonstrates that the two-stage algorithm achieves at least 2X faster than the baseline one-stage algorithm.
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