Systems Engineering

This short book introduces process data scientists to knowledge graphs and GraphRAG, a powerful combination that overcomes the limitations of vanilla RAG when answering the kind of cross-document, relationship-heavy questions that process engineers usually care about. With a hands-on, application-driven approach, the book walks readers through the complete pipeline: designing an ontology for plant data, using LLMs to extract entities and relationships from incident reports, building and querying the graph in Neo4j, and finally assembling everything into a demo web application.

This book is a quick foray into the world of deep learning-based computer vision and abnormal equipment sound detection. The readers are introduced to the ease with which powerful equipment and product quality monitoring solutions can be built using sound and visual data.

The biggest challenge in implementing Standard Work is finding the right balance: Between giving employees clear, repeatable standards — and giving them space to think, improve, and grow.

Inference engineering is now its own discipline, with unique challenges around speed, cost, reliability and scale. This practical guide takes you from core concepts to production systems, showing how modern inference architectures work, how to optimize them and how to make better engineering decisions through measurement and trade-off analysis.

An MBSE workflow for automotive systems engineering teams — run V-model programmes on real agile sprints, with ASPICE and ISO 26262 evidence produced as you go, not reconstructed before the audit.

A practical implementation framework covering 22 essential data center operational domains. Assess gaps, establish priorities and build a controlled improvement roadmap.

This practical guide explains how to calculate, interpret, and improve OEE using real-world examples, enabling engineers, supervisors, and Lean practitioners to increase productivity, reduce downtime, and achieve world-class manufacturing performance.

Build optimization models that remain useful when forecasts are wrong. This practical guide connects uncertainty sets, robust counterparts, duality, budgets of uncertainty, and modern distributionally robust optimization with real operational applications and implementation advice.

Go beyond writing code and learn what it takes to build software that lasts. Fundamentals of Software Engineering walks you through requirements, architecture, testing, deployment and production using practical trade-offs and a real-world case study. Follow TaskFlow from its first requirement to a system built to scale, evolve and survive the real world.

Move beyond AI demos and build agents that can actually run IT operations. This practical guide takes you from MCP fundamentals to production-ready monitoring, incident response, remediation, Kubernetes operations, security and multi-agent systems, with complete runnable code and a strong focus on safe autonomy.

This is your complete guide to building rhythmic, waste-free production cells that deliver quality at speed—just in time.

Master cloud security with confidence using this comprehensive CCSP study guide. Covering all six CCSP domains, it combines clear explanations, real-world examples, and exam-focused practice to help you succeed on the certification exam while building practical cloud security skills for your career.

Application sandboxing is the foundation of secure modern computing. This book explores the principles, architectures, and technologies behind containers, virtual machines, browser sandboxes, WebAssembly, and more, explaining how they isolate untrusted code, where their security boundaries break down, and how to choose the right approach for real-world systems.

Unlock the hidden potential of your engine with nitrous oxide (NOS) systems, one of the most powerful and precise performance enhancers available. This volume provides a comprehensive, engineering-focused guide to safely installing, tuning, and optimizing nitrous systems for maximum performance and reliability.

Build a Linux operating system from source with only the components you need. Learn how the kernel, boot process, system utilities, libraries and package management work together while gaining the practical skills to build and maintain your own Linux distribution.