Relevant bibliographies by topics / Ranging Vicinity Algorithm

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Academic literature on the topic 'Ranging Vicinity Algorithm'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Ranging Vicinity Algorithm"

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Lenin, K. "WIDE-RANGING VICINITY ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER PROBLEM." International Journal of Research -GRANTHAALAYAH 5, no. 10 (2017): 361–68. http://dx.doi.org/10.29121/granthaalayah.v5.i10.2017.2314.

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In this paper, Wide-ranging vicinity Algorithm (WVA) is proposed to solve optimal reactive power problem. Wide-ranging vicinity Algorithm equally improves the local & global search. From the global search space a set of arbitrary solutions are primarily generated and then the most excellent solution will give the optimal value. After that, the algorithm will iterate, & there will be two sets of generated solutions in iteration’s, one from the global search space, the other from the set of solutions & it will be produced from the vicinity of the most excellent solution. The proposed
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Dr.K.Lenin. "WIDE-RANGING VICINITY ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER PROBLEM." International Journal of Research - Granthaalayah 5, no. 10 (2017): 361–68. https://doi.org/10.5281/zenodo.1051055.

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In this paper, Wide-ranging vicinity Algorithm (WVA) is proposed to solve optimal reactive power problem. Wide-ranging vicinity Algorithm equally improves the local & global search. From the global search space a set of arbitrary solutions are primarily generated and then the most excellent solution will give the optimal value. After that, the algorithm will iterate, & there will be two sets of generated solutions in iteration’s, one from the global search space, the other from the set of solutions & it will be produced from the vicinity of the most excellent solution. The proposed
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3

Verma, Nitin, Ravi Kant, Raghav Singh, et al. "Reservoir Characterization Using Seismic Inversion Based on Sparse Layer Reflectivity and Hybrid Genetic Algorithms: A Comparative Case Study of Blackfoot, Canada." International Journal of Petroleum Technology 10 (December 8, 2023): 151–62. http://dx.doi.org/10.15377/2409-787x.2023.10.11.

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This research paper introduces a comparative case study on reservoir characterization through seismic inversion techniques. The study specifically explores sparse layer reflectivity and a hybrid approach involving genetic algorithms and pattern search. The research assesses the effectiveness of these methodologies in delineating subsurface properties, with a particular focus on acoustic impedance. Through meticulous analysis, the paper aims to identify the strengths and limitations of each method, considering factors such as parameter estimation precision, computational efficiency, and adaptab
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Rapinski, Jacek, and Artur Janowski. "The Optimal Location of Ground-Based GNSS Augmentation Transceivers." Geosciences 9, no. 3 (2019): 107. http://dx.doi.org/10.3390/geosciences9030107.

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Modern Global Navigation Satellite Systems (GNSS) allow for positioning with accuracies ranging from tens of meters to single millimeters depending on user requirements and available equipment. A major disadvantage of these systems is their unavailability or limited availability when the sky is obstructed. One solution is to use additional range measurements from ground-based nodes located in the vicinity of the receiver. The highest accuracy of distance measurement can be achieved using ultra wide band (UWB) or ZigBee phase shift measurement. The position of the additional transmitter must be
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Jayadi, Harsano, Moh Dahlan Th. Musa, Gazali Rachman, Icha Untari Meidji, Muhammad Fawzy Ismullah Massinai, and Dwa Desa Warnana. "A NON-LINEAR HYPOCENTER LOCALIZATION ALONG THE ACTIVE PALU-KORO FAULT: A CASE STUDY CENTRAL SULAWESI." Indonesian Physical Review 8, no. 2 (2025): 400–416. https://doi.org/10.29303/ipr.v8i2.418.

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The Central Sulawesi region is prone to earthquakes, as evidenced by its complex geological structure. Several plates and active fault movements in the vicinity cause this situation. One of the active faults that often causes earthquakes is the Palu-Koro active fault. The city of Palu is one of the areas passing through the Palu-Koro fault. The danger of this earthquake occurrence can be ascertained and assessed using a suitable earthquake location. Within the scope of our investigation, we used a non-linear approach to predict the hypocenter site in the vicinity of the Palu-Koro fault that is
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Blacher, David, and Michael Harasek. "Optimisation of pipes with constant diameter using the heuristic optimality criterion." Open Research Europe 3 (September 21, 2023): 156. http://dx.doi.org/10.12688/openreseurope.15943.1.

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Background: Minimising internal pressure drop in pipes is crucial for energy efficiency of fluid flow applications. Numerous computational optimisation tools that are capable of modifying flow geometries to reduce the pressure drop have been developed. Among these is a comparably simple heuristic optimisation algorithm which mimics erosion and sedimentation processes based on the shear stress in the vicinity of the domain boundaries. Although this method succeeds in modifying flow geometries for reduced pressure drop, it allows the fluid domain to widen during the reshaping process. Therefore,
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Cabieces, Roberto, Frank Krüger, Araceli Garcia-Yeguas, et al. "Slowness vector estimation over large-aperture sparse arrays with the Continuous Wavelet Transform (CWT): application to Ocean Bottom Seismometers." Geophysical Journal International 223, no. 3 (2020): 1919–34. http://dx.doi.org/10.1093/gji/ggaa427.

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SUMMARY This work presents a new methodology designed to estimate the slowness vector in large-aperture sparse Ocean Bottom Seismometer (OBS) arrays. The Continuous Wavelet Transform (CWT) is used to convert the original incoherent traces that span a large array, into coherent impulse functions adapted to the array aperture. Subsequently, these impulse functions are beamformed in the frequency domain to estimate the slowness vector. We compare the performance of this new method with that of an alternative solution, based on the Short-/Long-Term Average algorithm and with a method based on the
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Niculiță, Mihai. "Geomorphometric Methods for Burial Mound Recognition and Extraction from High-Resolution LiDAR DEMs." Sensors 20, no. 4 (2020): 1192. http://dx.doi.org/10.3390/s20041192.

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Archaeological topography identification from high-resolution DEMs (Digital Elevation Models) is a current method that is used with high success in archaeological prospecting of wide areas. I present a methodology through which burial mounds (tumuli) from LiDAR (Light Detection And Ranging) DEMS can be identified. This methodology uses geomorphometric and statistical methods to identify with high accuracy burial mound candidates. Peaks, defined as local elevation maxima are found as a first step. In the second step, local convexity watershed segments and their seeds are compared with positions
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Nasir, Muhammad Anis Uddin, Cigdem Aslay, Gianmarco De Francisci Morales, and Matteo Riondato. "Approximate Mining of Frequent -Subgraph Patterns in Evolving Graphs." ACM Transactions on Knowledge Discovery from Data 15, no. 3 (2021): 1–35. http://dx.doi.org/10.1145/3442590.

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“Perhaps he could dance first and think afterwards, if it isn’t too much to ask him.” S. Beckett, Waiting for Godot Given a labeled graph, the collection of -vertex induced connected subgraph patterns that appear in the graph more frequently than a user-specified minimum threshold provides a compact summary of the characteristics of the graph, and finds applications ranging from biology to network science. However, finding these patterns is challenging, even more so for dynamic graphs that evolve over time, due to the streaming nature of the input and the exponential time complexity of the pro
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Çeken, Ulubey, Fadime Sertçelik, and Abdullah İçen. "A New Ground-Motion Prediction Model for Shallow Crustal Earthquakes in Türkiye." Applied Sciences 15, no. 7 (2025): 3442. https://doi.org/10.3390/app15073442.

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The recent expansion of the strong-motion observation network, along with the increase in data obtained during major earthquakes and efforts to create consistent metadata for source, path, and site effects for both old and new records, has significantly improved the quality of data and the level of modeling in Türkiye. The mainshock and aftershock records of the 6 February 2023 Kahramanmaraş earthquake doublet (MW 7.8 and 7.7), which are among the most destructive earthquakes in world history, constitute an up-to-date and important data source for this study. In this study, we present new grou
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Conference papers on the topic "Ranging Vicinity Algorithm"

1

Raju, Vomsheendhur, and Majura F. Selekwa. "Autonomous Topographic Mapping of Unknown Environments by Dynamic Visual Data." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95497.

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Abstract The simultaneous localization and mapping (SLAM) process is what makes it possible for autonomous vehicles to navigate in unknown environments. Early SLAM algorithms used and relied on ranging sensors only. In recent years, there has been an increased interest in vision-based SLAM (V-SLAM) due to the low-cost nature of digital cameras available in the market compared to ranging sensors. V-SLAM uses successive camera frames to either track features in individual frames and triangulates the position to construct a 3-D map or determine the vehicle speed by measuring the rate of change of
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