http://nopr.niscpr.res.in/handle/123456789/54056 2026-10-09T17:09:52Z 2026-10-09T17:09:52Z Li, Guohui Zhao, Ke Yang, Hong http://nopr.niscpr.res.in/handle/123456789/54085 2020-03-19T11:20:58Z 2020-02-01T00:00:00Z

Title: Feature Extraction Method for Ship-Radiated Noise Based on Extreme-point Symmetric Mode Decomposition and Dispersion Entropy Authors: Li, Guohui; Zhao, Ke; Yang, Hong Abstract: A novel feature extraction method for ship-radiated noise based on extreme-point symmetric mode decomposition (ESMD) and dispersion entropy (DE) is proposed in the present study. Firstly, ship-radiated noise signals were decomposed into a set of band-limited intrinsic mode functions (IMFs) by ESMD. Then, the correlation coefficient (CC) between each IMF and the original signal were calculated. Finally, the IMF with highest CC was selected to calculate DE as the feature vector. Comparing DE of the IMF with highest CC by empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD) and ESMD, it is revealed that the proposed method can assist the feature extraction and classification recognition for ship-radiated noise. Page(s): 175-183

2020-02-01T00:00:00Z Zubier, Khalid M. http://nopr.niscpr.res.in/handle/123456789/54084 2020-02-28T10:06:27Z 2020-02-01T00:00:00Z

Title: Using an Artificial Neural Network for Wave Height Forecasting in the Red Sea Authors: Zubier, Khalid M. Abstract: Artificial Neural Networks (ANNs) are widely used in the field of wave forecasting as data-based soft-computing techniques that do not require prior knowledge regarding the nature of the relationships between the forecasted waves and the controlling physical mechanisms. Among ANN-techniques is the Nonlinear Auto-Regressive Network with eXogenous inputs (NARX), based on which two models were developed in this study to predict the significant wave heights in Eastern Central Red Sea for the next 3, 6, 12 and 24 h. The two NARX-based models differ only by the inclusion of the variance between wind and wave directions in one model and not in the other. Both models have shown the ability to efficiently predict the significant wave heights up to 12 hours in advance. However, the outperformance of the model that included the difference between wind and wave directions indicated the significance of the inclusion of such an input term. Page(s): 184-191

2020-02-01T00:00:00Z Zhu, Guolei Wang, Yingmin Wang, Qi http://nopr.niscpr.res.in/handle/123456789/54083 2020-02-28T10:04:28Z 2020-02-01T00:00:00Z

Title: Robust Conditional Probability Constraint Matched Field Processing Authors: Zhu, Guolei; Wang, Yingmin; Wang, Qi Abstract: In order to improve the robustness of Adaptive Matched Field Processing (AMFP), a Conditional Probability Constraint Matched Field Processing (MFP-CPC) is proposed. The algorithm derives the posterior probability density of the source locations from Bayesian Criterion, then the main lobe of AMFP is protected and the side lobe is restricted by the posterior probability density, so MFP-CPC not only has the merit of high resolution as AMFP, but also improves the robustness. To evaluate the algorithm, the simulated and experimental data in an uncertain shallow ocean environment is used. The results show that in the uncertain ocean environment MFP-CPC is robust not only to the moored source, but also to the moving source. Meanwhile, the localization and tracking is consistent with the trajectory of the moving source. Page(s): 192-200

2020-02-01T00:00:00Z Hashemi, Mehdi http://nopr.niscpr.res.in/handle/123456789/54082 2020-02-28T10:02:49Z 2020-02-01T00:00:00Z

Title: Remote sensing and airborne geophysics studies for uranium and thorium exploration in Zahedan area (Southeastern Iran) Authors: Hashemi, Mehdi Abstract: The study area is located in Nehbandan-Khash zone according to the structural classification of Iran. The outcrops of this area are mainly composed of Cenozoic and Quaternary units. The structure of the area, under the influence of faults and folding, has a trend from north-northwest to south-southeast. Airborne data of radiometric was collected in the study area. In the exploration area of Zahedan, after processing and statistical analysis airborne radiometric data and preparing the map of the radioactive elements with the same intensity, the anomaly ranges were determined. For this purpose, two Ordinary Kriging and inverse distance squared technique were used to estimate the data. The trend of these radioactive element anomalies in the area was the general northwest-southeast trend, as identified in the maps. These anomalies of the radioactive elements are found in the Oligo-Miocene granodiorites units. Three anomaly ranges are located in the north-eastern corner of the sheet, which are proposed as valuable anomalies for continuing exploratory study. Page(s): 201-206

2020-02-01T00:00:00Z