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Related papers: Mobile Computing in Physics Analysis - An Indicato…

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Intelligent power grid research, i.e. smart grid, involves many simultaneous users spread over a relatively large geographical area. A tool for advancing research and community education is presented utilizing large-scale visualization…

Human-Computer Interaction · Computer Science 2015-09-22 Chris Foreman , Rammohan K. Ragade , James H. Graham

Objectives: Grid-based technologies are emerging as potential solutions for managing and collaborating distributed resources in the biomedical domain. Few examples exist, however, of successful implementations of Grid-enabled medical…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-07-06 F. Estrella , T. Hauer , R. McClatchey , M. Odeh , D Rogulin , T. Solomonides

Computation is intertwined with essentially all aspects of physics research and is invaluable for physicists' careers. Despite its disciplinary importance, integration of computation into physics education remains a challenge and, moreover,…

We advocate in this paper the use of grid-based infrastructures that are designed for seamless approaches to the numerical expert users, i.e., the multiphysics applications designers. It relies on sophisticated computing environments based…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-16 Toan Nguyen , Lizhe Wang , Vittorio Selmin

As the Grid evolves from a high performance cluster middleware to a multipurpose utility computing framework, a good understanding of Grid applications, their statistics and utilisation patterns is required. This study looks at job…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-11-05 Aleksandar Lazarevic , Lionel Sacks

5G wireless technology can deliver higher data speeds, ultra low latency, more reliability, massive network capacity, increased availability, and a more uniform user experience to users. It brings additional power to help address the…

Systems and Control · Electrical Eng. & Systems 2022-11-02 Yousu Chen , Liwei Wang , Xiaoyuan Fan , Dexin Wang , James Ogle

In scientific computing, more computational power generally implies faster and possibly more detailed results. The goal of this study was to develop a framework to submit computational jobs to powerful workstations underused by nonintensive…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-09-23 Áttila L. Rodrigues , João Felipe C. L. Costa

Physics simulations are widely used to improve the learning process in science and engineering education. Deployment of a computational physics simulation/model is extremely complex given the fact that both knowledge and skills for the…

Physics Education · Physics 2017-08-03 Félix J. García Clemente , Francisco Esquembre , Loo Kang Wee

This Resource Letter provides a guide to the literature on teaching experimental physics using sensors in tablets, smartphones, and some specialized devices. After a general discussion of the hardware (sensors) and the software (apps), we…

Physics Education · Physics 2022-06-29 Martin Monteiro , Arturo C. Marti

Managing the limited energy on mobile platforms executing long-running, resource intensive streaming applications requires adapting an application's operators in response to their power consumption. For example, the frame refresh rate may…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-16 Dipayan Mukherjee , Atul Sandur , Kirill Mechitov , Pratik Lahiri , Gul Agha

Exploring signals from the outer space has become an observational science under fast expansion. On the basis of its advanced technology the MAGIC telescope is the natural building block for the first large scale ground based high energy…

We present FabSim, a toolkit developed to simplify a range of computational tasks for researchers in diverse disciplines. FabSim is flexible, adaptable, and allows users to perform a wide range of tasks with ease. It also provides a…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-09-21 Derek Groen , Agastya Bhati , James Suter , James Hetherington , Stefan Zasada , Peter Coveney

The lack of computational power within an organization for analyzing scientific data, and the distribution of knowledge (by scientists) and technologies (advanced scientific devices) are two major problems commonly observed in scientific…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 R. Buyya , S. Date , Y. Mizuno-Matsumoto , S. Venugopal , D. Abramson

Extreme edge computing (EEC) refers to the endmost part of edge computing wherein computational tasks and edge services are deployed only on extreme edge devices (EEDs). EEDs are consumer or user-owned devices that offer computational…

Networking and Internet Architecture · Computer Science 2022-08-12 Mhd Saria Allahham , Amr Mohamed , Aiman Erbad , Hossam Hassanein

The ever-increasing volumes of scientific data present new challenges for distributed computing and Grid technologies. The emerging Big Data revolution drives exploration in scientific fields including nanotechnology, astrophysics,…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-08-14 A. V. Vaniachine

Computational Grids, emerging as an infrastructure for next generation computing, enable the sharing, selection, and aggregation of geographically distributed resources for solving large-scale problems in science, engineering, and commerce.…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Rajkumar Buyya

The challenge to fully exploit the potential of existing and upcoming scientific instruments like large single-dish radio telescopes is to process the collected massive data effectively and efficiently. As a "quasi 2D stencil computation"…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-12 Hao Wang , Ce Yu , Jian Xiao , Shanjiang Tang , Min Long , Ming Zhu

The VERCE project has pioneered an e-Infrastructure to support researchers using established simulation codes on high-performance computers in conjunction with multiple sources of observational data. This is accessed and organised via the…

Grasping is a fundamental skill for interacting with and manipulating objects in the environment. However, this ability can be challenging for individuals with hand impairments. Soft hand exoskeletons designed to assist grasping can enhance…

Robotics · Computer Science 2025-04-07 Chen Hu , Enrica Tricomi , Eojin Rho , Daekyum Kim , Lorenzo Masia , Shan Luo , Letizia Gionfrida

Driven by the visions of Internet of Things and 5G communications, the edge computing systems integrate computing, storage and network resources at the edge of the network to provide computing infrastructure, enabling developers to quickly…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-11-11 Fang Liu , Guoming Tang , Youhuizi Li , Zhiping Cai , Xingzhou Zhang , Tongqing Zhou