The application of computational thinking and triz methodology in patent innovation analytics

atent is the most high-level document that involved technical inventive solution and legal value for intellectual property protection. Every patent documented will explained about their system in solving a specific problem. This document has critical information that can be used for various purposes such as patent innovation, technology forecasting and developing patent strategy. This paper is focusing to explore the methodology in using the innovation to enhance patent innovation and competitiveness. The proposed methodology uses computational thinking model and TRIZ methodology. It consists of innovative processes such as anatomization, schematization and tabulation of a patent. This research shows new approach to create innovation and develop analytics study of case study patent for continuous improvement and strategy development

Maintenance of Railway Infrastructure Using Cyber-Physical Systems

Cyber-physical systems (CPS) facilitate the recent advancements in manufacturing to make it a comprehensive system that incorporates computational intelligence, communication technologies, context-awareness and data analytics. The potential of CPS is not only confined to manufacturing but are also applicable to other complex infrastructure systems that necessitate improved life cycle and asset management system. The maintenance of such a system of systems necessitates a holistic view of the infrastructure for effective decision support methodologies. This paper discusses infrastructure maintenance from the viewpoint of life cycle management within the structure of cyber-physical systems. This paper also discusses several assisting technologies to support the development of CP. In addition, some use cases are provided from the literature and based on their experience, a CPS framework is developed for Swedish Railway Infrastructure. This CPS system also enables the development of Digital Twin for Railways.ISBN för värdpublikation: 978-981-15-3642-7, 978-981-15-3643-4</p