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NR/L3/SCO/313/SP-3.03 - On-Track Machines (OTMs) Driver and Operations Standards Manual: Managing Fatigue in Safety Critical Workers
September 5, 2020 - NR

This module specifies the process to manage fatigue and working hours. It applies to all OTM Operations staff who undertake safety critical work and those who have responsibility for the rostering and/or management of staff who undertake safety critical work. Purpose This module enables...

NR/L3/SCO/313/SP-2.05/AB - On-Track Machines (OTMs) Driver and Operations Standards Manual: Defective High Output Core Vehicles: On-Train Equipment - List of OTM Equipment and Actions to Be Taken
September 5, 2020 - NR

This process applies to all Ballast Cleaning and Track Relaying systems whether being brought into service or during operations on Network Rail managed infrastructure. The GE/RT8000 Rule book does not wholly lend itself to ballast cleaning and track relaying vehicles in terms of its...

NR/L3/XNG/207 - Level Crossing Manager Competence Framework
September 5, 2020 - NR

This standard applies to any LCM, a person competent to carry out the role of an LCM and those involved in the management of these individuals. Purpose This standard details the competency assessment process used to assess the competencies required by Level Crossing Managers (LCMs) to undertake...

NR/L3/CIV/066 - Managing the Risks to the Railway from Landfill Operations
September 5, 2020 - NR

This standard applies to operational land that could be affected by landfill sites. This standard does not cover the requirements, roles and responsibilities for managing the potential effects of mineral extraction which can be found in NR/L2/CIV/191. Purpose The purpose of this standard is to help...

Applied Deep Learning and Computer Vision for Self-Driving Cars
August 14, 2020 - PACKT

Explore self-driving car technology using deep learning and artificial intelligence techniques and libraries such as TensorFlow, Keras, and OpenCV Key Features * Build and train powerful neural network models to build an autonomous car * Implement computer vision, deep learning, and AI...

IETF RFC 8655 - Deterministic Networking Architecture
October 1, 2019 - IETF

Abstract This document provides the overall architecture for Deterministic Networking (DetNet), which provides a capability to carry specified unicast or multicast data flows for real-time applications with extremely low data loss rates and bounded latency within a network domain....

NR/L3/XNG/308 - Risk Assessing Level Crossings
September 5, 2020 - NR

This standard describes a method of risk assessing operational level crossings on Network Rail's managed infrastructure. It includes: a) the core level crossing risk assessment process; b) frequency of risk assessments; c) use of the All Level Crossing Risk Model (ALCRM) as the risk model;...

NR/L2/RMVP/27176 - Controlled Emission Toilet Servicing Installation
September 5, 2020 - NR

This standard provides guidance on the design and installation of controlled effluent retention facility in Network rail owned, leased or hired depot. It specifies requirements for waste extraction using vacuum assistance from rolling stock through hoses into holding tanks, filtering,...

The Deep Learning with Keras Workshop
July 29, 2020 - PACKT

Discover how to leverage Keras, the powerful and easy-to-use open source Python library for developing and evaluating deep learning models Key Features * Get to grips with various model evaluation metrics, including sensitivity, specificity, and AUC scores * Explore advanced concepts such as...

DS/IEC TR 61850-90-12 - Communication networks and systems for power utility automation – Part 90-12: Wide area network engineering guidelines
August 4, 2020 - DS

IEC TR 61850-90-12:2020, which is a Technical Report, is intended for an audience familiar with electrical power automation based on IEC 61850 and related power system management, and particularly for data network engineers and system integrators. It is intended to help them to understand...

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