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  • Articles  (18)
  • Hindawi  (18)
  • 2015-2019  (18)
  • 1985-1989
  • 1970-1974
  • 2018  (18)
  • Technology  (12)
  • Computer Science  (6)
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  • Articles  (18)
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  • 2015-2019  (18)
  • 1985-1989
  • 1970-1974
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  • 1
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    Extrinsic Least Squares Regression with Closed-Form Solution on Product Grassmann Manifold for Video-Based Recognition (2018)
    Hindawi
    Details
    Publication Date: 2018-03-06
    Description: Least squares regression is a fundamental tool in statistical analysis and is more effective than some complicated models with small number of training samples. Representing multidimensional data with product Grassmann manifold has recently led to notable results in various visual recognition tasks. This paper proposes extrinsic least squares regression with Projection Metric on product Grassmann manifold by embedding Grassmann manifold into the space of symmetric matrices via an isometric mapping. The proposed regression has closed-form solution which is more accurate compared with numerical solution of previous least squares regression using geodesic distance. Experiments on several recognition tasks show that the proposed method achieves considerable accuracy in comparison with some state-of-the-art methods.
    Print ISSN: 1024-123X
    Electronic ISSN: 1563-5147
    Topics: Mathematics , Technology
    Published by Hindawi
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  • 2
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    Numerical Method for Predicting the Blast Wave in Partially Confined Chamber (2018)
    Hindawi
    Details
    Publication Date: 2018-03-06
    Description: Blast waves generated by cylindrical TNT explosives in partially confined chamber were studied numerically and experimentally. Based on the classical fifth-order weighted essentially nonoscillatory finite difference schemes (fifth-order WENO schemes), the 1D, 2D, and 3D codes for predicting the evolution of shock waves were developed. A variety of benchmark-test problems, including shock tube problem, interacting blast wave, shock entropy wave interaction, and double Mach reflection, were studied. Experimental tests of explosion events in a partially confined chamber were conducted. Then, the 3D code was employed to predict the overpressure-time histories of certain points of chamber walls. Through comparing, a good agreement between numerical prediction and experimental results was achieved. The studies in this paper provide a reliable means to predict the blast load in confined space.
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    Electronic ISSN: 1563-5147
    Topics: Mathematics , Technology
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  • 3
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    A Moving Object Indoor Tracking Model Based on Semiactive RFID (2018)
    Hindawi
    Details
    Publication Date: 2018-12-25
    Description: Aimed at the weak anti-interference and low accuracy problem of moving object indoor tracking based RFID, a moving object indoor tracking model based on semiactive RFID is presented. This model acquires scene location information through RFID low frequency triggers preinstalled, which can enhance the anti-interference ability. This model adopts an improved particle filter algorithm, which can increase the diversity of the particles, overcome the particle impoverishment, and reduce the tracking error. Simulation results indicate that the model can achieve better tracking performances. Compared with standard particle filter, the improved algorithm performance is better in the capability of tracking accuracy and robust and is more suitable for indoor tracking application in the complicated environments.
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    Electronic ISSN: 1563-5147
    Topics: Mathematics , Technology
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  • 4
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    Estimation and Fault Diagnosis of Lithium-Ion Batteries: A Fractional-Order System Approach (2018)
    Hindawi
    Details
    Publication Date: 2018-10-24
    Description: This study investigates estimation and fault diagnosis of fractional-order Lithium-ion battery system. Two simple and common types of observers are designed to address the design of fault diagnosis and estimation for the fractional-order systems. Fractional-order Luenberger observers are employed to generate residuals which are then used to investigate the feasibility of model based fault detection and isolation. Once a fault is detected and isolated, a fractional-order sliding mode observer is constructed to provide an estimate of the isolated fault. The paper presents some theoretical results for designing stable observers and fault estimators. In particular, the notion of stability in the sense of Mittag-Leffler is first introduced to discuss the state estimation error dynamics. Overall, the design of the Luenberger observer as well as the sliding mode observer can accomplish fault detection, fault isolation, and estimation. The effectiveness of the proposed strategy on a three-cell battery string system is demonstrated.
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  • 5
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    Feature Preserving Filling of Holes on Point Sampled Surfaces Based on Tensor Voting (2018)
    Hindawi
    Details
    Publication Date: 2018-08-14
    Description: This paper presents a novel hole filling method for the scattered point sampled surfaces, particularly for recovering the missing points at featured curves or corners. Firstly, a tensor voting based multicriterion is proposed to identify the hole boundary points; accordingly, the holes on point sampled surface are classified into featured holes and nonfeatured holes. Secondly, a novel spline curve guided tensor voting mechanism is proposed and used in inference of missing feature points. Thirdly, the featured holes are split into nonfeatured holes using local projection. Then, a plane guided tensor voting mechanism is proposed to recover the missing surface points. Experimental results validate the effectiveness and accuracy of proposed methods in filling holes on point sampled surface including the sharp features.
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    Topics: Mathematics , Technology
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  • 6
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    Inverse Identification of Virtual Material Parameters Using Surface Response Methodology (2018)
    Hindawi
    Details
    Publication Date: 2018-07-18
    Description: The virtual material model is now widely applied for modeling the dynamical performance of assembled structures since it can effectively represent the complicated contact behavior of joint interfaces despite being relatively simple to create. In this study, a virtual material model is adopted for modeling the dominant physics of a bolted joint subject to a set of pretightening conditions. The unknown virtual material parameters are acquired by an inverse identification procedure that uses the surface response methodology. The greatest advantage of this approach is the ease with which it acquires the joint parameters without taking apart a built-up structure to do special measurements on each separated component. Intricate theoretical calculations can also be avoided when this method is used. This study addresses the responses of virtual material parameters under different pretightening considerations. Predictions based on the identified virtual material parameters are compared with the corresponding results obtained using the analytical method. The correlation between the two sets of results at all preload levels is promising, which indicates the successful identification of the virtual material parameters.
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  • 7
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    A Game-Theoretic Precoding for Secure Communication in MIMO Interference Channels (2018)
    Hindawi
    Details
    Publication Date: 2018-08-26
    Description: We investigate the problem of secure communication in multiple-input-multiple-output (MIMO) interference channels from the perspective of physical layer security (PLS). We focus on the design of joint transceiver, which aims at maximizing the difference of mean-squared errors (MSE) between legitimate users and the eavesdropper. To reduce the complexity, the problem is formulated as a noncooperative game, and an asynchronous algorithm is proposed to obtain the Nash equilibrium solution. In each iteration, the closed-form solution is obtained by using Karush-Kuhn-Tucker (KKT) conditions. Furthermore, the performance of the joint transceiver, including both the secrecy rate and the MSE, is evaluated by simulations. Experimental result shows that the proposed algorithm has fast convergence speed and the security performance in different scenarios is effectively improved.
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  • 8
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    3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition (2018)
    Hindawi
    Details
    Publication Date: 2018-08-12
    Description: An inertial measurement unit-based pedestrian navigation system that relies on the intelligent learning algorithm is useful for various applications, especially under some severe conditions, such as the tracking of firefighters and miners. Due to the complexity of the indoor environment, signal occlusion problems could lead to the failure of certain positioning methods. In complex environments, such as those involving fire rescue and emergency rescue, the barometric altimeter fails because of the influence of air pressure and temperature. This paper used an optimal gait recognition algorithm to improve the accuracy of gait detection. Then a learning-based moving direction determination method was proposed. With the Kalman filter and a zero-velocity update algorithm, different gaits could be accurately recognized, such as going upstairs, downstairs, and walking flat. According to the recognition results, the position change in the vertical direction could be reasonably corrected. The obtained 3D trajectory involving both horizontal and vertical movements has shown that the accuracy is significantly improved in practical complex environments.
    Print ISSN: 1076-2787
    Electronic ISSN: 1099-0526
    Topics: Computer Science , Mathematics
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  • 9
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    Experiments and Numerical Simulation of Performances and Internal Flow for High-Speed Rescue Pump with Variable Speeds (2018)
    Hindawi
    Details
    Publication Date: 2018-07-02
    Description: The model pump is a high-speed, high-power pump designed to achieve rapid mine flooding rescue. This study conducted experiments to investigate pump performance curves, including head, efficiency, and power for the following six different rotation speeds: 3000, 3600, 4200, 4800, 5400, and 6000 rpm. Then, the numerical simulation method based on computational fluid dynamics commercial code Ansys was used to present the internal flow of the pump for the six different rotation speeds through steady and unsteady analyses. Results show that the numerical results agree well with experimental data. The designs of outlet and inlet angles of the impeller match each other well at high rotation speeds. The pressure pulsation coefficient Cp in the impeller and the diffuser channel remain constant at the same monitor point under different rotation speed conditions. The varying trend of the pressure-augmented coefficient ΔP indicates that, with the increase in rotation speed, the effect on pressure rise induced by the back part of the impeller channel is more evident than that by the front part. Also, the main frequency components of ΔP are concentrated on the region with low frequency. Moreover, the rotation speed has no significant effect on ΔP in the diffuser region. This study provides effective guidance and valuable reference for the design of high-speed, high-power pumps.
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  • 10
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    Extrinsic Least Squares Regression with Closed-Form Solution on Product Grassmann Manifold for Video-Based Recognition (2018)
    Hindawi
    Details
    Publication Date: 2018-01-01
    Description: Least squares regression is a fundamental tool in statistical analysis and is more effective than some complicated models with small number of training samples. Representing multidimensional data with product Grassmann manifold has recently led to notable results in various visual recognition tasks. This paper proposes extrinsic least squares regression with Projection Metric on product Grassmann manifold by embedding Grassmann manifold into the space of symmetric matrices via an isometric mapping. The proposed regression has closed-form solution which is more accurate compared with numerical solution of previous least squares regression using geodesic distance. Experiments on several recognition tasks show that the proposed method achieves considerable accuracy in comparison with some state-of-the-art methods.
    Print ISSN: 1024-123X
    Electronic ISSN: 1563-5147
    Topics: Mathematics , Technology
    Published by Hindawi
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