SemProM Foundations of Semantic Product Memories for the Internet of Things /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Wahlster, Wolfgang (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Cognitive Technologies,
• Θέματα: Computer science.; Production management.; Computer communication systems.; User interfaces (Computer systems).; Artificial intelligence.; Industrial engineering.; Production engineering.; Computer Science.; Artificial Intelligence (incl. Robotics).; Industrial and Production Engineering.; Operations Management.; User Interfaces and Human Computer Interaction.; Computer Communication Networks.

 The development of low-cost, compact digital storage, sensors and radio modules allows us to embed digital memories into products to record key events. Such computationally enhanced products can perceive and control their environment, analyze their observations, and communicate with other smart objects and human users. Digital product memories (DPMs) will play a key role in the upcoming fourth industrial revolution based on cyber-physical production systems, resulting in improvements in traceability and quality assurance, more efficient and flexible production, logistics, customization, and recycling, and better information for the consumer.   SemProM was a major industrial and academic research project that examined all aspects of the design and implementation of semantic product memories, and this book is a comprehensive assessment of the results achieved. The introductory chapters explain the fundamental ideas and the organization of the related project, while the remaining parts explain how to build, model and process DPMs, multimodal interaction using them, and selected applications.   This work is inherently multidisciplinary and the related ideas, technologies, and implementations draw on results in fields such as semantic technologies, machine-to-machine communication, intelligent sensor networks, instrumented environments, embedded systems, smart objects, RFID technology, security, and privacy. The contributing authors are leading scientists and engineers, representing key academic teams and companies.   The book explains successful deployment in applications such as manufacturing, green logistics, retail, healthcare, and food distribution, and it will be of value to both researchers and practitioners. 

 Part I Introduction -- The Semantic Product Memory: An Interactive Black Box for Smart Objects -- SemProM - Dissemination and Impact -- Towards an Integrated Framework for Semantic Product Memories -- Part II Platforms for Building a Digital Product Memory -- Hardware Requirements for Digital Product Memories -- The Smart SemProM -- A Robotic Platform for Building and Exploiting Digital Product Memories -- Capturing Sensor Data in the SemProM Automotive Scenario -- Part III Modeling and Processing Digital Product Memories -- The SemProM Data Format -- DPM Mapper – A Concept to Bridge the Gap Between XML-Based Digital Product Memories and Their Binary Representation -- A Digital Product Memory Architecture for Cars -- The Object Memory Server for Semantic Product Memories -- The Block Interface: Accessing Digital Product Memories -- Distributed Digital Product Memories -- Part IV Multimodal Interaction with the Digital Product Memory -- Supporting Interaction with Digital Product Memories -- Controlling Interaction with Digital Product Memories -- Interaction Modalities for Digital Product Memories -- Part V Applications of Digital Product Memories -- Applying Digital Product Memories in Industrial Production -- Using Basic RFID-Based Digital Product Memories for Protection Against Counterfeit Goods in Manufacturing Plants -- A SemProM Use Case: Tracking & Tracing for Green Logistics and Integrity Control -- Enhancement of Consumer Support in Retail Scenarios by Utilization of Semantic Product Memories -- A SemProM Use Case: Health Care and Compliance -- A SemProM Use Case: Maintenance of Factory and Automotive Components -- A Summary of End-User Feedback on Digital Product Memories.