China
Africa
Explore chapters and articles related to this topic
Internet of Things-Compliant Platforms for Inter-Networking Metamaterials
Published in Christos Liaskos, The Internet of Materials, 2020
Contiki is an operating system for networked, memory-constrained systems with a focus on low-power wireless Internet of Things devices. Extant uses for Contiki include systems for street lighting, sound monitoring for smart cities, radiation monitoring, and alarms. It is open-source software released under a BSD license. Contiki-NG is an improved version of the contiki, an operating system for resource-constrained devices in the Internet of Things. Contiki provides multitasking and a built-in Internet Protocol Suite (TCP/IP stack), yet needs only about 10 kilobytes of random-access memory (RAM) and 30 kilobytes of read-only memory (ROM). A full system, including a graphical user interface, needs about 30 kilobytes of RAM.
Nextstep
Published in Paul W. Ross, The Handbook of Software for Engineers and Scientists, 2018
NEXTSTEPTM is an operating system from NeXT™ Computer Inc. It is based on BSD Unix™ running on a Mach kernel. Nearly all interaction is done through a graphical user interface (GUI). The GUI uses a unified PostScript™ imaging model for displaying text and graphics on the screen or on the printer. It runs on several types of hardware ranging from industry standard PCs to high end workstations from HP. Versions for other hardware are being announced regularly. A version called OPENSTEP™ is planned for use on Sun™ workstations running Solaris™. It is distributed in two parts: NEXTSTEP User and NEXTSTEP Developer.
Crowd Estimation in Trains by Using Machine Vision
Published in Roshani Raut, Salah-ddine Krit, Prasenjit Chatterjee, Machine Vision for Industry 4.0, 2022
The report specifies cropping photographs as a part of data manipulation. PyTorch is an open-source machine learning library first developed by the Facebook AI Research Lab. It is free software released under modified BSD license. However, the PyTorch implementation does not crop the images. With these changes, we have also added the functionality for cropping. This model has been trained to learn without cropping the images.
BciPy: brain–computer interface software in Python
Published in Brain-Computer Interfaces, 2021
Tab Memmott, Aziz Koçanaoğulları, Matthew Lawhead, Daniel Klee, Shiran Dudy, Melanie Fried-Oken, Barry Oken
BciPy is hosted on PyPi and pip installable [30]. The code is hosted on GitHub and can be accessed using the following link: https://github.com/CAMBI-tech/BciPy. To use the provided RSVP implementation, the user will need to git clone or download the repository and follow the README instructions for local usage. Contributors are invited to the repository. The Code of Conduct will be enforced, utilizing the Contributor Covenant v1.4.1, listed at the root of the repository to encourage a safe development environment. It is currently distributed under a BSD license. Please refer to the LICENSE.txt in the repository for more information.