Device Driver Workload Modelling through an Abstract Machine

Perangkat Lunak (Software) Komputer

10.31219/osf.io/wbguk ◽

2020 ◽

Author(s):

Ilda nur fauzia

Keyword(s):

Software atau perangkat lunak adalah program komputer yang berfungsi sebagai sarana interaksi (penghubung) antara pengguna (user) dan perangkat keras (hardware). Software bisa juga dikatakan sebagai “penerjemah” perintah-perintah yang dijalankan pengguna komputer untuk diteruskan atau diproses oleh perangkat keras (hardware).Software adalah program komputer yang isi instruksinya dapat diubah dengan mudah. Software pada umumnya digunakan untuk mengontrol perangkat keras (yang sering disebut device driver), melakukan proses perhitungan, berinteraksi dengan software yang lain dan lebih mendasar (seperti system operasi, dan bahsa pemprograman).

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Compiler Module of Abstract Machine Code for Formal Semantics Course

2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI) ◽

10.1109/sami50585.2021.9378696 ◽

2021 ◽

Author(s):

William Steingartner

Keyword(s):

Formal Semantics ◽

Machine Code ◽

Abstract Machine

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An abstract machine based on classical association psychology

10.1145/1460833.1460840 ◽

1962 ◽

Author(s):

Richard F. Reiss

Keyword(s):

Abstract Machine ◽

Classical Association

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An abstract machine for parallel graph reduction

Proceedings of the fourth international conference on Functional programming languages and computer architecture - FPCA '89 ◽

10.1145/99370.99387 ◽

1989 ◽

Cited By ~ 7

Author(s):

Lal George

Keyword(s):

Graph Reduction ◽

Abstract Machine ◽

Parallel Graph

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Deleuze as Subject – B2430.D454 – Mapping Deleuze Studies in the Library

Deleuze Studies ◽

10.3366/dls.2017.0275 ◽

2017 ◽

Vol 11 (3) ◽

pp. 429-456

Author(s):

Melissa Adler

Keyword(s):

Academic Libraries ◽

The Body ◽

Theory And Practice ◽

Library Of Congress ◽

Abstract Machine ◽

Discipline Formation ◽

The World ◽

Circulation Of Knowledge

Guided by Deleuze's taxonomic theory and practice and his concepts concerning the body, literature, territory and assemblage, this article examines library classification as a technique of discipline and bibliographic control. Locating books written by and about Deleuze reveals processes of discipline formation and the circulation of knowledge, and it troubles the principles upon which the classification is based. A Deleuzian critique presents the Library of Congress Classification as an abstract machine that diagrams knowledge in many academic libraries around the world.

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Simulator Study of Effects of Alternative Distraction Mitigation Strategies in Driver Workload Manager

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/2248-11 ◽

2011 ◽

Vol 2248 (1) ◽

pp. 81-86 ◽

Cited By ~ 3

Author(s):

Louis Tijerina ◽

Mike Blommer ◽

Reates Curry ◽

Jeff Greenberg ◽

Dev Kochhar ◽

...

Keyword(s):

Mitigation Strategies ◽

Driver Workload ◽

Simulator Study ◽

Workload Manager

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Towards ubiquitous human gestures recognition using wireless networks

International Journal of Pervasive Computing and Communications ◽

10.1108/ijpcc-d-17-00005 ◽

2017 ◽

Vol 13 (4) ◽

pp. 408-418 ◽

Cited By ~ 3

Author(s):

Mustafa S. Aljumaily ◽

Ghaida A. Al-Suhail

Keyword(s):

Gesture Recognition ◽

Channel State Information ◽

Device Driver ◽

Recognition System ◽

Wireless Channel ◽

New Classification ◽

Channel State ◽

State Information ◽

Content Type ◽

Human Gestures

Purpose Recently, many researches have been devoted to studying the possibility of using wireless signals of the Wi-Fi networks in human-gesture recognition. They focus on classifying gestures despite who is performing them, and only a few of the previous work make use of the wireless channel state information in identifying humans. This paper aims to recognize different humans and their multiple gestures in an indoor environment. Design/methodology/approach The authors designed a gesture recognition system that consists of channel state information data collection, preprocessing, features extraction and classification to guess the human and the gesture in the vicinity of a Wi-Fi-enabled device with modified Wi-Fi-device driver to collect the channel state information, and process it in real time. Findings The proposed system proved to work well for different humans and different gestures with an accuracy that ranges from 87 per cent for multiple humans and multiple gestures to 98 per cent for individual humans’ gesture recognition. Originality/value This paper used new preprocessing and filtering techniques, proposed new features to be extracted from the data and new classification method that have not been used in this field before.

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