Events2Join

YANG and the Road to a Model Driven Network


Modeling the impact of road network configuration on vehicle energy ...

Some roads connect traffic origins and destinations directly, while some take winding, indirect routes. Indirect connections result in longer distances driven ...

Road Network Modeling and Simulation Based on Sysml Meta-model

This research provides an important reference for the follow-up model-based systems engineering research on road network modeling. Keywords—systems engineering, ...

Based Lightweight Detection Model for Dangerous Driving Behavior

In recent years, the Graph Convolutional Network (GCN), which models the human skeleton as a spatiotemporal graph, has achieved remarkable ...

Multimodal Road Network Generation Based on Large Language ...

Multimodal road network modeling aims to achieve a more comprehensive understanding and analysis of urban or regional transportation systems, facilitating ...

Optimizing YANG Model Usage for Automation and Programmability

Slides: http://chinog.org/chi-nog-08/agenda-08/

NETCONF / YANG - LinkedIn

... networking principles such as declarative configuration and model-driven management and operations. ... way? Computer Networking. What are ...

Model-driven command line interface (MD-CLI) in Nokia SR OS 16.0

By agility I mean the way how we create the network services, which time we spend on it and so on. Let's evaluate how model-driven configuration ...

Physical Model versus Artificial Neural Network (ANN) Model: A ...

The dataset is divided into two categories based on the characteristics of CF behavior at signalized intersections: continuous and discontinuous ...

Network Programmability with YANG The - Maynooth Bookshop

Authored by three YANG pioneers, this plain-spoken book guides you through successfully applying software practices based on YANG data models.

Electrify America: U.S. EV public charging network | Electrify America

The leader in electric vehicle (EV) charging. Electrify America offers the most public fast charging stations in the U.S., plus commercial products.

Progress Software: Unleash the Power of AI for Your Business

Progress provides AI-powered software solutions to automate processes to develop, deploy and manage apps, and make critical data more accessible and secure.

Introduction to Data Model-driven Management - LACNIC

NETCONF/YANG provide a standard interface to interact with network devices in order to update a configuration file or retrieve state data. ○. NETCONF (NETwork ...

PowerApps Model Driven to open form based on the view

Are you talking about the views in dataverse like "Active Accounts", "My Active Accounts" ?? There is no supported way to achieve this. when a ...

Streaming telemetry: The value of "realtime" analytics for the network

Stuart Clark introduces us to Streaming Telemetry, sometimes known as Model Driven Telemetry, and how gRPC, NETCONF, YANG models, and more ...

CVPR 2024 Accepted Papers

FaceTalk: Audio-Driven Motion Diffusion for Neural Parametric Head Models ... SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model ...

Urban travel carbon emission mitigation approach using deep ...

Amarpuri et al. applied a deep learning hybrid model based on convolutional neural networks ... Motorways and primary roads were used to represent ...

A deep reinforcement learning model for resilient road network ...

This study demonstrates the promise of a new AI-based decision support model to improve the resilience of road networks by enabling efficient ...

Self-driving car - Wikipedia

A self-driving car, also known as a autonomous car (AC), driverless car, robotaxi, robotic car or robo-car, is a car that is capable of operating with ...

Week 6 of the DevNet Grind – Model Driven Programmability, YANG ...

YANG is defined in RFC 6020 as a “Data Modeling Language” used to model Configuration and State data manipulated by “Network Configuration Protocol” (NETCONF).

Pyramid Flow

A training-efficient Autoregressive Video Generation model based on Flow Matching. It is trained only on open-source datasets within 20.7k A100 GPU hours.