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48917 results in Computer Science

Page 128 of 2446

  • 8 - GPU for Spatial Data: A Case Study in Pathology Imaging Applications

  • Xiaodong Zhang, The Ohio State University, Rubao Lee, The Ohio State University
  • Book:
    Data Management
    Published online:
    21 November 2024
    Print publication:
    28 November 2024, pp 203-236

  • Summary

    Focusing on the intricate world of spatial data management, this chapter offers an in-depth analysis of how spatial data management tasks, specifically in the context of pathology imaging applications, are approached and optimized on traditional CPU-based computing platforms versus GPU-accelerated platforms. Employing a case-study methodology, the chapter not only delves into the specifics of these applications but also extrapolates broader methodologies and strategies for leveraging advanced hardware to enhance application performance.

  • Optimization of sampling structure on unmanned aerial vehicle for gas leakage monitoring in the atmosphere

  • Denglong Ma, Sicheng Guo, Yuxiang Zhou
  • Journal:
    Robotica / Volume 43 / Issue 2 / February 2025
    Published online by Cambridge University Press:
    28 November 2024, pp. 499-513

  • In order to make a fast and accurate response to gas leakage event, e.g. gas leakage in hydrogen storage station, it is very important to identify and locate the leakage source accurately and quickly. Due to the flexibility and the adaptability of robots to harsh environments, leakage source tracing based on mobile robots has attracted more and more attention. However, the existing ground robots are limited by the ground environment and thus it is difficult to trace and locate the leakage in the complex environment with ground robots. Although unmanned aerial vehicle (UAV) can overcome the limitation of ground obstacles, there are still some problems in the accuracy and reliability of gas sampling due to the interference of flow field caused by UAV rotors to the surrounding gases. Based on computational fluid dynamic simulation, a simulation model of UAV with four rotors was established. Combined with test experiments, the influence of flow field around UAV on gas sampling under different UAV speeds, rotors assembly structures, leakage, and sampling conditions was analyzed and investigated. The optimized UAV assembly structure and gas sensor installation position were determined and verified by the simulations and experiments. The results showed that the sensor was less affected by the rotor airflow when the UAV rotor was reversely assembled and the gases were sampled above the UAV. This research can provide a guidance for gas sampling for emission source tracing with UAV for process safety management of energy gas storage.

  • 4 - Buffer Replacement Algorithms

  • Xiaodong Zhang, The Ohio State University, Rubao Lee, The Ohio State University
  • Book:
    Data Management
    Published online:
    21 November 2024
    Print publication:
    28 November 2024, pp 82-108

  • Summary

    Addressing the challenges associated with data movement within the memory hierarchy, this chapter explores solutions from both hardware and systems software perspectives. It places special emphasis on buffer management techniques aimed at optimizing data movement and reducing access latency. The chapter also delves into the significance of nonvolatile memory (NVM), particularly flash memory devices, and their role in mitigating access latency within the memory hierarchy. Readers gain insights into strategies employed to minimize data movement, enhancing overall memory performance, a critical aspect of efficient data management.

  • 2 - Data Storage: Physical Allocation and Logical Format

  • Xiaodong Zhang, The Ohio State University, Rubao Lee, The Ohio State University
  • Book:
    Data Management
    Published online:
    21 November 2024
    Print publication:
    28 November 2024, pp 17-40

  • Summary

    Delving into the foundational aspects of data management, this chapter explores the relationship between logical data formats and physical storage in computing systems. It discusses how logical abstractions in system software for data management interact with the physical placement of data. The chapter emphasizes the significance of designing storage data formats effectively to minimize unnecessary I/O traffic and network communications. By optimizing these formats, readers learn how to achieve efficient utilization of resources, leading to improved performance in data processing tasks. This sets a crucial foundation for understanding the broader concepts of data management throughout the book.

Page 128 of 2446