[Book] Process Informatics Development (No. 2308)
2308 Process Informatics
[Available for preview] ★ Machine learning, soft sensors, Bayesian optimization, generative AI, experimental automation/autonomy
Book Title: Data Analysis, Modeling, and Application Development in Process Informatics －－－－－－－－－－－－－－－－－－－－－ Understanding where to apply the latest technologies to change processes through data-driven approaches －－－－－－－－－－－－－－－－－－－－－ ■ Key Points of This Book: A practical guide filled with actionable know-how for practitioners ◆ "From Basics to Applications" of Data Analysis and Modeling ~ Variable selection, model building, sensor design, Bayesian optimization, autonomous experiments ◆ Reasons Why Process Informatics "Fails" and How to Address Them ~ Challenges in the implementation process, data shortages, examples of variable selection failures ◆ How to "Transform Data into Usable Forms?" ~ Data alignment between experiments and manufacturing, equipment integration, real-time analysis ◆ Richly includes case studies of implementation and deployment by process area and stage! ~ Specific examples of "which industries," "what equipment or processes," and "how they were designed" ■ Manufacturing Processes Covered in This Book - Synthesis, drying processes, crystallization, granulation, stirring, cultivation, freezing, coating, film formation, rolling, pressing, fluid dynamics, reactions, gas absorption, fermentation
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■ Products (Target Objects) - Polymers, composite materials (resins, resin films) - General materials (chemicals, polymers, inorganic materials) - Gas sensor materials (semiconductor sensors) - Alloys (examples of alloy design) - Semiconductors (organic semiconductors, thin films, etching processes) - Battery electrodes (coating, drying, pressing) - Conditioning materials (perovskite solar cells) - Pharmaceuticals (active ingredients, formulations) - Cells (human iPS cells, stem cells) - Microorganisms (fermentation bacteria, etc.) - Slurry －－－－－－－－－－－－－－－－－－－－－ ■ Table of Contents Chapter 1: Collection and Management of Process Data Chapter 2: Analytical Methods for Process Data Chapter 3: Data-Driven Process Modeling Using Statistics and Machine Learning Chapter 4: Process Simulation Techniques and Their Application Examples Chapter 5: Application to Process Design, Optimization, and Control －－－－－－－－－－－－－－－－－－－－－ ● Publication Date: July 30, 2025 ● Format: A4, 420 pages ● Authors: 73 ● ISBN: 978-4-86798-089-7 －－－－－－－－－－－－－－－－－－－－－
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The Technical Information Association is engaged in the work of shaping information for engineers and researchers. We research what kind of information engineers and researchers active in fields such as "research and development," "materials," "electronics," and "pharmaceuticals/medical devices" need, and we create products such as seminars, books, and correspondence courses!
