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About 10,000 papers for “Physical computing”

Physical Computing

Brain Re-synthesis, Carlos Giffoni, Marko Tandefelt et al. · 2005

Cited by 0

Physical Reservoir Computing

Yasuhisa Naitoh, Yoshiyuki Yamashita · Vacuum and Surface Science · 2024

Physical Reservoir Computing (PRC) is a technology attracting attention for overcoming the limitations of conventional digital computing. This technology is particularly useful in areas where complex nonlinear problems and real-time processing are required. PRC is a technique using physical systems (e.g., optical, electronic, magnetic, and mechanical systems) as reservoirs and utilizes their dynamic properties for computation. This enables efficient processing of tasks such as speech recognition, image processing, and predictive modeling. We asked top researchers to contribute their recent research to this special issue about the PRC.

Cited by 0Open access

Computing About Physical Objects

Chanderjit Bajaj, Christoph M. Hoffmann, Elias N. Houstis et al. · Purdue e-Pubs (Purdue University System) · 1987

This report describes the technical aspects of the project Computing about Physical Objects. This project has received equipment and infrastructure support for five years from the National Science Foundation.

Cited by 11Open access

Computing With Physical Systems

Ray, Kyle · eScholarship (California Digital Library) · 2023

The investigation of microscopic nonequilibrium thermodynamic systems is a wide a varied field of study. While hard to pin down with one particular frame of reference, the technological importance of understanding what happens when small systems are driven out of equilibrium is undeniable. While it is theoretically possible to do most control processes without driving a system very far from an equilibrium state, it generally takes an inordinate amount of time to do so. Computing itself is the process of preserving, transforming and translating a physical system’s states though various nonequlibrium procedures in finite time; thus, the mechanical computers that we all rely on are, at a fundamental level, nanoscale nonequilibrium thermal systems. In the following, various properties of nonequilibrium systems are discussed with an eye towards useful operations in computing. In chapter 1 the issue is tackled from a historical perspective; we see that controlling information can have a cost even using only equilibrium considerations. Next, chapter 2 moves away from purely equilibrium considerations by considering the costs that come from operating in finite time. Chapter 3 reviews a suite of relatively recent equalities that extend arbitrarily far outside the regime of equilibrium, as well as introducing novel equalities and applications for these new results. Chapter 4 investigates the applicability and scope of the new results, and in doing so, reveals the connection between a class of highly nonequlibrium processes and the precision of currents within them. Finally, in chapter 5, this class of protocol is leveraged to design highly efficient devices that are capable of universal computation that operate on similar timescales of todays state of the art machines, but hold the promise of being 4 or 5 orders of magnitude more efficient energetically.

Cited by 0Open access

Multi-context Physical Computing

Alexandra Maximova · 2023

The use of microcontroller boards such as the Calliope Mini and BBC micro:bit is becoming increasingly popular in schools due to their versatility and affordability. This doctoral research aims to investigate the effectiveness and motivational potential of using microcontroller boards to introduce basic programming concepts to upper primary and lower secondary school students using Python. The primary focus is on the multi-context nature of microcontroller boards, exploring whether teaching programming concepts in different contexts, such as music, video games, and autonomous driving, can motivate a broader population of students compared to a single-context curriculum, such as Turtle Graphics or autonomous mobile robots. The research employs an educational design-based research approach. In the first cycle, a curriculum consisting of six lessons was developed and piloted in the context of gifted pull-out activities. The preliminary exploratory pilot study provides qualitative findings on students' responses to the curriculum, and algorithmic thinking gains were measured using a pre- and post-test. The results suggest that the curriculum has the potential to be an effective and engaging way to introduce basic programming concepts and that further research is needed to confirm these findings for larger populations. In the next educational design-based research cycle we plan to refine our measurement instruments and study design.

Cited by 1

Physical Computing in Rust

Shing Lyu · Apress eBooks · 2020

Up until now, all the programs you have written exist only in the virtual world. However, a big part of the physical world is controlled by software. Traffic lights, self-driving cars, airplanes, and even rockets and satellites are just a few examples. Much of this software has to be compiled and executed in a drastically different environment than the usual Linux, Windows, or MacOS desktop or laptop computers. They usually have to run on relatively weaker CPUs with less available memories. They might sometimes need to run without an operating system, or on specialized operating systems designed specifically for embedded systems.

Cited by 0

Aristotle's Office (physical computing)

Bulletin of Miscellaneous Information (Royal Gardens Kew)

Documentation of an interactive artwork by Tom Keene and Kypros Kyprianou. Using a tabletop patchbay interface, up to 9 objects can be connected by the user (in pairs). Once connected, the objects begin to negotiate who's in charge and the objects begin to 'converese'. After a while, they get bored of each other. The work, commissioned by Lighthouse Media Centre in Brighton can be seen, rather appropriately, in their foyer.

Cited by 0

Physical reservoir computing: a tutorial

Susan Stepney · Natural Computing · 2024

Abstract This tutorial covers physical reservoir computing from a computer science perspective. It first defines what it means for a physical system to compute, rather than merely evolve under the laws of physics. It describes the underlying computational model, the Echo State Network (ESN), and also some variants designed to make physical implementation easier. It explains why the ESN model is particularly suitable for direct physical implementation. It then discusses the issues around choosing a suitable material substrate, and interfacing the inputs and outputs. It describes how to characterise a physical reservoir in terms of benchmark tasks, and task-independent measures. It covers optimising configuration parameters, exploring the space of potential configurations, and simulating the physical reservoir. It ends with a look at the future of physical reservoir computing as devices get more powerful, and are integrated into larger systems.

Cited by 18Open access

Teaching with physical computing devices

Sue Sentance, Jane Waite, Lucy Yeomans et al. · 2017

There is a growing interest in small programmable devices that can be used in schools and in extra-curricular contexts to teach computer science. The BBC micro:bit is one such device; through a collaborative venture, micro:bits were recently distributed to every 11-12 year old in the UK. Although the technology itself is often of primary interest, a focus on how teachers can use the technology in the classroom to help students learn is increasingly being drawn out in the literature: this paper adds to that body of work Having interviewed 15 teachers and 54 students about their use and experience of the micro:bit, we present an analysis of the varied ways in which teachers are using the BBC micro:bit, and note a range of instructional styles. We classify different approaches to teaching with physical computing, identifying teachers who we describe as either inspirers, providers or consumers. Finally we make recommendations for more teacher professional learning opportunities around physical computing. The results of this qualitative study will be useful to teachers and teacher educators wishing to work more effectively with physical computing in the classroom.

Cited by 65Open access

MomenTree – Place Specific Physical Computing

Christo Goosen, Malmö Hogskola · 2015

This paper concerns the MomenTree concept, a place-specific physical computing installation for the Lilla Torg in Malmö. It describes the research done to discover the meaning of Lilla Torg, and presents the MomenTree, discussing the reasoning behind concept, the way it works, and the possible benefits to Lilla Torg. Categories and Subject Descriptors

Cited by 0

Physical Realizations of Quantum Computing

Nakahara, Mikio, Kanemitsu, Shigeru, Salomaa, Martti et al. · CERN Document Server (European Organization for Nuclear Research) · 2006

The contributors of this volume are working at the forefront of various realizations of quantum computers. They survey the recent developments in each realization, in the context of the DiVincenzo criteria, including nuclear magnetic resonance, Josephson junctions, quantum dots, and trapped ions. There are also some theoretical contributions which have relevance in the physical realizations of a quantum computer. This book fills the gap between elementary introductions to the subject and highly specialized research papers to allow beginning graduate students to understand the cutting-edge of r

Cited by 0