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48569 results in Computer Science

Page 109 of 2429

  • Remembering Bloody Sunday 50 years on: A textual analysis of Bloody Sunday anniversary coverage

  • Part of
  • Kelsey Hanson
  • Journal:
    Memory, Mind & Media / Volume 3 / 2024
    Published online by Cambridge University Press:
    28 November 2024, e25
    • Article
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  • On January 30, 2022, Northern Ireland observed the 50th anniversary of Bloody Sunday. On that day in 1972, the British Army opened fire on a group of unarmed protesters in Derry, killing 13 and wounding an additional 15. Bloody Sunday was a pivotal moment during the 30 years of conflict in Northern Ireland known as the Troubles, a day widely considered a ‘watershed in British-Irish history’. And while 50 years have passed since this dark day, Bloody Sunday remains vivid in the collective memory of the small country. Considering the cultural and social significance of Bloody Sunday, I sought to answer a simple yet deceptively complicated question: does this still matter? In pursuing this answer, I aimed to understand how journalists and news outlets chose to mark and remember the anniversary in their January and February 2022 coverage. First, I present an overview of Bloody Sunday and its historical role as a catalyst for the three decades of the Troubles. Then, I review relevant memory studies literature in order to understand the role that commemorative news media play in the process of remembering in conflict and post-conflict environments. I then introduce my three research questions and methods before finally discussing the results of my analysis. I found that Bloody Sunday continues to be invoked against British colonialism, that key details of the day remain contested even now, and that the press presented Bloody Sunday as part of a globalised narrative of war-time atrocities.

  • 1 - Introduction

  • 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 1-16

  • Summary

    This opening chapter provides a historical perspective on the evolution of computing, tracing its journey from early computational methods to the emergence of networking and the advent of data-centric computing. The chapter sets out to inspire readers to develop a holistic understanding of the intricate interactions among hardware, software, and networking. It introduces the principle of hardware and software codesign as a critical approach in constructing efficient data management systems. The goal is to achieve high throughput and low latency in modern data processing, setting the stage for the detailed exploration that follows in subsequent chapters.

  • A refined robotic grasp detection network based on coarse-to-fine feature and residual attention

  • Zhenwei Zhu, Saike Huang, Jialong Xie, Yue Meng, Chaoqun Wang, Fengyu Zhou
  • Journal:
    Robotica / Volume 43 / Issue 2 / February 2025
    Published online by Cambridge University Press:
    28 November 2024, pp. 415-432

  • Precise and efficient grasping detection is vital for robotic arms to execute stable grasping tasks in industrial and household applications. However, existing methods fail to consider refining different scale features and detecting critical regions, resulting in coarse grasping rectangles. To address these issues, we propose a real-time coarse and fine granularity residual attention (CFRA) grasping detection network. First, to enable the network to detect different sizes of objects, we extract and fuse the coarse and fine granularity features. Then, we refine these fused features by introducing a feature refinement module, which enables the network to distinguish between object and background features effectively. Finally, we introduce a residual attention module that handles different shapes of objects adaptively, achieving refined grasping detection. We complete training and testing on both Cornell and Jacquard datasets, achieving detection accuracy of 98.7% and 94.2%, respectively. Moreover, the grasping success rate on the real-world UR3e robot achieves 98%. These results demonstrate the effectiveness and superiority of CFRA.

  • 10 - The Future of Computing: Synergies in Data Management and System Architecture

  • 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 266-269

  • Summary

    The concluding chapter consolidates the key learnings and projects future trends and emerging technologies in the dynamic field of data management and computing. It explores how the convergence of advanced hardware, sophisticated algorithms, and AI-driven solutions is shaping the next frontier of data management and computing. Emphasizing practical implications and future possibilities, this final chapter aims to equip readers with a comprehensive understanding and vision of how these integrated technologies will continue to transform the landscape of computing and data management.

  • 9 - Ray Tracing Hardware in GPUs for Accelerated Computation

  • 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 237-265

  • Summary

    This chapter delves into the transformative world of ray tracing, a technology reshaping computational graphics and data processing. It bridges the gap between advanced graphical rendering and general computational tasks, exploring how ray tracing hardware, originally designed for stunning visual effects, is now being harnessed for diverse applications beyond graphics. The chapter employs Nvidia GPU RT Cores and the OptiX programming framework as conduits to explain ray tracing’s fundamental concepts and practical implementations.

Page 109 of 2429