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The Vibration Characteristics of Ground of Rock Blasting in Silt-Rock Strata
Published 2021-01-01Get full text
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6562
Synthesis of New Oxindoles and Determination of Their Antibacterial Properties
Published 2020-01-01Get full text
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DQN-based energy-efficient routing algorithm in software-defined data centers
Published 2020-06-01Get full text
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6568
O valor financeiro do capital humano e o desafio de retê-lo nas empresas
Published 2014-01-01Get full text
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6569
Enterprise Network Marketing Prediction Using the Optimized GA-BP Neural Network
Published 2020-01-01Get full text
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6570
Qualifications of the Ideal Tourism School Administrator: A RepGrid Review
Published 2024-09-01Get full text
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6571
Investigating Water Balance Configuration in the Urban Areas of Mthatha, South Africa
Published 2024-12-01Get full text
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6572
The McGill Pain Questionnaire, Japanese Version, Reconsidered: Confirming the Theoretical Structure
Published 2001-01-01Get full text
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6573
Pathogenetic Aspects of Oral Cavity Lesions in Inflammatory Gastrointestinal Tract Diseases
Published 2019-09-01Get full text
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6575
A range spread target detection algorithm based on polarimetric features and SVDD
Published 2023-10-01“…Multi-polarization range high resolution radar is an important mean for ground target detection.In the echo formed by it, the target occupies multiple range cells and becomes an extended target.The traditional spread target detection method relies on energy, and the detection performance decreases when the signal-to-clutter ratio decreases.A spread target detection algorithm based on polarization decomposition features was proposed, which improved the detection performance under low signal-to-clutter ratio by using the difference of polarization scattering characteristics between target and clutter.Specifically, 16 kinds of polarization decomposition features were extracted to form feature vectors as detection statistics, and then support vector data description (SVDD) was used to obtain the detection threshold.When training the detection threshold, the polarization decomposition features of clutter were extracted as training data.In order to ensure the false alarm probability, two penalty parameters were introduced into the objective function of SVDD.The experimental results show that the proposed method requires a signal-to-clutter ratio of about 12.6 dB in the case of Gobi background, false alarm probability of 10<sup>-4</sup> and detection probability of 90%, which is about 1.7 dB lower than the energy-based methods.…”
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6577
Mardin Eski Hükümet Konağının Dünü ve Bugününe Dair Gözlemler
Published 2023-10-01Get full text
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DAMAGE DETECTION OF COMPOSITE PLATE BASED ON LOCAL DEFECT RESONANCE INTER-MODULATION EFFECT
Published 2019-01-01Get full text
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