Download Free Movement Aware Applications For Sustainable Mobility Technologies And Approaches Book in PDF and EPUB Free Download. You can read online Movement Aware Applications For Sustainable Mobility Technologies And Approaches and write the review.

"This book will provide insight on the issues and repercussions of collecting and analysing the movement of people using techniques such as privacy preserving data mining, ontologies, space-time modeling and visualization"--Provided by publisher.
This book gathers selected papers presented at the 2nd International Conference on Smart Energy and Communication (ICSEC 2020), held at Poornima Institute of Engineering and Technology, Jaipur, India, on March 20–21, 2020. It covers a range of topics in electronics and communication engineering and electrical engineering, including analog circuit design, image processing, wireless and microwave communication, optoelectronics and photonic devices, nano-electronics, renewable energy, smart grid, power systems and industry applications.
"This book provides an overview of online research methods in urban and planning studies, exploring and discussing new digital tools and Web-based research methods, as well as the scholarly, legal, and ethical challenges associated with their use"--Provided by publisher.
This SpringerBrief discusses the characteristics of spatiotemporal movement data, including uncertainty and scale. It investigates three core aspects of Computational Movement Analysis: Conceptual modeling of movement and movement spaces, spatiotemporal analysis methods aiming at a better understanding of movement processes (with a focus on data mining for movement patterns), and using decentralized spatial computing methods in movement analysis. The author presents Computational Movement Analysis as an interdisciplinary umbrella for analyzing movement processes with methods from a range of fields including GIScience, spatiotemporal databases and data mining. Key challenges in Computational Movement Analysis include bridging the semantic gap, privacy issues when movement data involves people, incorporating big and open data, and opportunities for decentralized movement analysis arising from the internet of things. The interdisciplinary concepts of Computational Movement Analysis make this an important book for professionals and students in computer science, geographic information science and its application areas, especially movement ecology and transportation research.
These proceedings are aimed at researchers, industry / market operators and students from different backgrounds (scientific, engineering and humanistic) whose work is either focused on or affined to Location Based Services (LBS). It contributes to the following areas: positioning / indoor positioning, smart environments and spatial intelligence, spatiotemporal data acquisition, processing, and analysis, data mining and knowledge discovery, personalization and context-aware adaptation, LBS visualization techniques, novel user interfaces and interaction techniques, smart phone navigation and LBS techniques, three-dimensional visualization in the LBS context, augmented reality in an LBS context, innovative LBS systems and applications, way finding /navigation ( indoor/outdoor), indoor navigation databases, user studies and evaluations, privacy issues in LBS, usability issues in LBS, legal and business aspects of LBS, LBS and Web 2.0, open source solutions and standards, ubiquitous computing, smart cities and seamless positioning.
Many important planning decisions in society and business depend on proper knowledge and a correct understanding of movement, be it in transportation, logistics, biology, or the life sciences. Today the widespread use of mobile phones and technologies like GPS and RFID provides an immense amount of data on location and movement. What is needed are new methods of visualization and algorithmic data analysis that are tightly integrated and complement each other to allow end-users and analysts to extract useful knowledge from these extremely large data volumes. This is exactly the topic of this book. As the authors show, modern visual analytics techniques are ready to tackle the enormous challenges brought about by movement data, and the technology and software needed to exploit them are available today. The authors start by illustrating the different kinds of data available to describe movement, from individual trajectories of single objects to multiple trajectories of many objects, and then proceed to detail a conceptual framework, which provides the basis for a fundamental understanding of movement data. With this basis, they move on to more practical and technical aspects, focusing on how to transform movement data to make it more useful, and on the infrastructure necessary for performing visual analytics in practice. In so doing they demonstrate that visual analytics of movement data can yield exciting insights into the behavior of moving persons and objects, but can also lead to an understanding of the events that transpire when things move. Throughout the book, they use sample applications from various domains and illustrate the examples with graphical depictions of both the interactive displays and the analysis results. In summary, readers will benefit from this detailed description of the state of the art in visual analytics in various ways. Researchers will appreciate the scientific precision involved, software technologists will find essential information on algorithms and systems, and practitioners will profit from readily accessible examples with detailed illustrations for practical purposes.
Companies are constantly faced with the need to grow and advance in order to compete with other corporations. The implementation of computer innovations allows for smoother transitions to adaptive changes through the use and understanding of analytical tools. Modeling and Simulation Techniques for Improved Business Processes is a critical scholarly resource that examines the systems currently implemented in companies and how they can be upgraded and advanced through various computer design methods. Featuring coverage of a broad range of topics including scenario planning, casual modeling, and system dynamics, this publication is targeted toward researchers, professionals, and engineers searching for current research on corporate innovations created through computer design methods.
The study of how the environment, local geography, and physical locations influence crime has a long history that stretches across many research traditions. These include the neighborhood effects approach developed in the 1920s, the criminology of place, and a newer approach that attends to the perception of crime in communities. Aided by new technologies and improved data-reporting in recent decades, research in environmental criminology has developed rapidly within each of these approaches. Yet research in the subfield remains fragmented and competing theories are rarely examined together. The Oxford Handbook of Environmental Criminology takes a unique approach and synthesizes the contributions of existing methods to better integrate the subfield as a whole. Gerben J.N. Bruinsma and Shane D. Johnson have assembled a cast of top scholars to provide an in-depth source for understanding how and why physical setting can influence the emergence of crime, affect the environment, and impact individual or group behavior. The contributors address how changes in the environment, global connectivity, and technology provide more criminal opportunities and new ways of committing old crimes. They also explore how crimes committed in countries with distinct cultural practices like China and West Africa might lead to different spatial patterns of crime. This is a state-of-the-art compendium on environmental criminology that reflects the diverse research and theory developed across the western world.
"This book evaluates current research and best practices in the adoption of e-government technologies in developed and developing countries, enabling governments to keep in constant communication with citizens, constituents, corporations, and other stakeholders in modern societies"--
While many of its traditional elements, such as roads and utilities, do not change, urban infrastructure is undergoing a fascinating and necessary transformation in the wake of new information and communication technologies. This volume brings together many of the most important new voices in the fields impacting modern urban infrastructure to explore this revolutionary change in the city. Increasingly, it is connective systems rather than built forms that bind a city together. Intelligent infrastructure confers upon a city previously unimagined levels of adaptability, with mobile telephony serving to organize people and events on the move and in real time. Beginning with a consideration of invisible networks—the sociohistorical systems that contribute to and constitute urbanity—the essays collected here examine a variety of actual tools, from handheld devices to autonomous vehicles, within a fully networked built environment: the smart city. This book argues that knowledge of both the visible and invisible components--information, energy, sustainability, transportation, housing, and social practices--are critical to understanding the urban environment. The dynamic and diverse cast of contributors includes Mitchell Schwarzer, Frederic Stout, Anthony Townsend, Carlo Ratti of the MIT SENSEable City Lab, Mitchell Joachim of Terreform ONE, and many other innovators who are changing the urban landscape.