Finally, we consider the scenario of insect monitoring where the task is to discover new/invasive species of insects from the data stream produced by sensors while doing the monitoring. We generalize this scenario and propose a never-ending learning framework that continuously attempts to extract new concepts from time series data stream. We demonstrated the utility of the framework by applying it to detect the invasive species of insects, and the results show that it is very both accurate and robust.
The narratives and analysis included in this book were written by and derived from teacher participants in a post-graduate course that the chief editor, Dr Fang, has taught at the National Institute of Education, Singapore. Narrative inquiry has been used in the course to help teachers and school leaders make meaning of their personal and professional growth and learning trajectory. Narratives give them their own voice, which leads to a deeper understanding of their work and lives and informs teacher educators, researchers, and policy makers on ways to better support their professional learning and development.More than being a mere summary of teacher narratives, the overviews of each of the six parts of the book, written by the editorial team after many rounds of reading and re-reading, tease out patterns to usher readers into the narratives contained in each part in more informative and reflective ways. The final part with two reflective essays and one research paper explores more systematically the narrative experiences of the course participants, while the epilogue records the author's own journey in developing a narrative inquiry pedagogy in teacher education. The book is expected to benefit future course participants and local teachers as a resource for professional development, and inform researchers and policymakers who are interested in understanding the lived experiences of teachers in Singapore and creating better teacher engagement in schools.
Data Analytics in Project Management. Data analytics plays a crucial role in business analytics. Without a rigid approach to analyzing data, there is no way to glean insights from it. Business analytics ensures the expected value of change while that change is implemented by projects in the business environment. Due to the significant increase in the number of projects and the amount of data associated with them, it is crucial to understand the areas in which data analytics can be applied in project management. This book addresses data analytics in relation to key areas, approaches, and methods in project management. It examines: • Risk management • The role of the project management office (PMO) • Planning and resource management • Project portfolio management • Earned value method (EVM) • Big Data • Software support • Data mining • Decision-making • Agile project management Data analytics in project management is of increasing importance and extremely challenging. There is rapid multiplication of data volumes, and, at the same time, the structure of the data is more complex. Digging through exabytes and zettabytes of data is a technological challenge in and of itself. How project management creates value through data analytics is crucial. Data Analytics in Project Management addresses the most common issues of applying data analytics in project management. The book supports theory with numerous examples and case studies and is a resource for academics and practitioners alike. It is a thought-provoking examination of data analytics applications that is valuable for projects today and those in the future.
This book creates the concept of “enterprise organization engineering” by introducing the paradigm of tissue engineering in life science into enterprise organization research. It regards the enterprise as live organization, which has life characters and ability to grow and self-repair. The authors seek origins from seven theories including human tissue engineering, evolutionary economics, organization theories, enterprise theories, entrepreneur theory, human recourse theory, knowledge management theory, and summarizes the research framework including five parts : research on enterprise life characteristics, enterprise genes, enterprise seed cells, enterprise life scaffolds and research on enterprise growth factors. This research framework, which bases on five principles, presents a new perspective for corporate management staff and riches management theories.
Auxetic Textiles provides a detailed introduction to the basic properties of auxetic materials and how they differ from conventional materials, particularly auxetic textiles, such as polymers, fibers, yarns, fabrics and textile composites. The book discusses the beneficial properties of auxetic structures in textiles and how to translate those benefits into actual materials development. Sections cover the deformation mechanism of textile structures to achieve auxetic behavior and the modelling and simulation of auxetic textile structures. Finally, the book provides expert insights into potential application areas. Cutting across textiles disciplines, from technical textiles and advanced composites, to fashion and design, the book is a valuable introduction to the field for newcomers, with potent insights into the potential of these materials. Introduces the concept of auxetic materials and their differences from conventional materials Provides a practical guide to the mechanics of achieving auxetic properties in textile materials, including polymers, fibers, yarns, fabrics and composites Reviews and links up research and development in auxetic materials with the textile industry, helping enable the development of a range of new applications
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