Hiroe Tsubaki – författare

This book includes the keynote lecture and fourteen selected papers that - scribe a general guideline and supporting concepts and tools for conceiving technology development as a grammar. Recent advances in scienti?c and - gineering ?elds call for new disciplines, tools, and concepts. For example, advances in computer simulation require new approaches to statistical te- niques to utilize computer simulation e?ciently for technology development. Thepaperscollectedinthisbookfocusonsuchnewapproachesbasedonthese practicalrequirements.Theeditorsarecon?dentthiscollectionwillcontribute to the acceleration of technology development through the application of the grammar of technology presented here. The title of this book is in?uenced by Karl Pearson’s book The Grammar of Science, published in 1892, which brought him recognition as a giant and pioneer of statistics. His book introduced a grammar of science with a - scription of the roles of statistical treatments. While science at times has been misunderstood as not being amenable to a standardized approach, one of the contributions of Pearson’s book was that it o?ered a standardized - proach to science. As his book demonstrated, behind the great innovations of science, there exists a universal approach.

This book includes the keynote lecture and fourteen selected papers that - scribe a general guideline and supporting concepts and tools for conceiving technology development as a grammar. Recent advances in scienti?c and - gineering ?elds call for new disciplines, tools, and concepts. For example, advances in computer simulation require new approaches to statistical te- niques to utilize computer simulation e?ciently for technology development. Thepaperscollectedinthisbookfocusonsuchnewapproachesbasedonthese practicalrequirements.Theeditorsarecon?dentthiscollectionwillcontribute to the acceleration of technology development through the application of the grammar of technology presented here. The title of this book is in?uenced by Karl Pearson’s book The Grammar of Science, published in 1892, which brought him recognition as a giant and pioneer of statistics. His book introduced a grammar of science with a - scription of the roles of statistical treatments. While science at times has been misunderstood as not being amenable to a standardized approach, one of the contributions of Pearson’s book was that it o?ered a standardized - proach to science. As his book demonstrated, behind the great innovations of science, there exists a universal approach.

This book includes the keynote lecture and fourteen selected papers that - scribe a general guideline and supporting concepts and tools for conceiving technology development as a grammar. Recent advances in scienti?c and - gineering ?elds call for new disciplines, tools, and concepts. For example, advances in computer simulation require new approaches to statistical te- niques to utilize computer simulation e?ciently for technology development. Thepaperscollectedinthisbookfocusonsuchnewapproachesbasedonthese practicalrequirements.Theeditorsarecon?dentthiscollectionwillcontribute to the acceleration of technology development through the application of the grammar of technology presented here. The title of this book is in?uenced by Karl Pearson’s book The Grammar of Science, published in 1892, which brought him recognition as a giant and pioneer of statistics. His book introduced a grammar of science with a - scription of the roles of statistical treatments. While science at times has been misunderstood as not being amenable to a standardized approach, one of the contributions of Pearson’s book was that it o?ered a standardized - proach to science. As his book demonstrated, behind the great innovations of science, there exists a universal approach.

The authors of this book assert that Grid Square statistics, a method of aggregating data within a geographically defined Grid, may be an effective solution to approach geospatial data for big data integration. Grid Square statistics is a technique that allows us to collect and analyze data based on Grids and makes it easier to understand patterns and trends. Sustainability, a key concern for the future of our society, often involves balancing multiple independent objectives. These objectives and key performance indicators must be shared to solve multi-dimensional optimization problems with some constraints related to sustainability issues. However, many of these sustainability issues are challenges that are part of global systems, which are modeled as a complex system consisting of many components. Social, economic, and environmental aspects in our socio-economic systems require solutions designed for the sustainability of our society. These conditions imply that Big Data must contribute to evaluating our current situation, actions, and changes to continuously change our behavior and society based on a Plan-Do-Check-Action (PDCA) cycle. The PDCA cycle, also known as the Deming cycle, is a four-step management method used to improve processes and products continuously. We must understand how to construct a platform by using Big Data to do so. Thus, extracting meaningful information from Big Data is crucially important in the advanced information society. This book provides case studies based on Grid Square statistics. It shows their applications to socio-economic and environmental problems such as tourism, where we analyze visitor patterns to optimize resource allocation, SDGs indicator, where we monitor the sustainability of our socio-economic systems, and disaster management, where we face natural disaster to enhance preparedness. Finally, the book proposes a World Grid Square Statistics Reference Architecture for constructing data applications across organizations and domains and reports on design concepts, system architecture, and the implication of a data platform for World Grid Square data and statistics.