Anchoring digital maps as rough guides : a practice-orientated digital sociology of map use

This thesis provides a theoretical contribution towards understanding how, and to what extent, people’s engagements with digital maps feature in the constitution of their social practices. Existing theory tends not to focus on people as active interpreters that engage with digital maps across a variety of contexts, or on the influence of their map use on wider sets of social practices. Addressing this, the thesis draws on practice theory, media studies, and internet studies to develop a conceptual framework, applying it to empirical findings to address three research questions: (1) How do people engage with digital maps; (2) How do people engage with the web-based affordances of digital maps, such as those for collaboration, sharing, and end-user amendment/generation of content; and (3) What influence does people’s engagement with digital maps have on the way they perform wider sets of social practices? The research provides insights from three contexts, each operating at a different temporal scale: home choice covers longer-term processes of selecting and viewing properties before buying or renting; countryside leisure-walking covers mid-term processes of route-planning and assessment; University orientation covers shorter-term processes of navigation and gaining orientation around campus. Those insights are gathered through: a scoping survey (N=260) to identify relevant contexts; 32 semi-structured interviews to initiate data analysis; and 3 focus groups to gather participant feedback (member validation) on the emerging analysis. The approach to data analysis borrows heavily from constructivist grounded theory (albeit sensitised by practice theory ontology) to generate seven concepts. Together, the concepts constitute a practicetheory oriented digital sociology of map use. Overall, this thesis argues that digital maps are engaged with as mundane technologies that partially anchor people’s senses of place and security (physical and ontological), their performance of practices and social positions, and more broadly, the movement and distribution of bodies in space

XV Міжнародна конференція з математичної, природничо-наукової та технологічної освіти (ICon-MaSTEd 2022) 18-20 травня 2022 року, м. Кривий Ріг, Україна

Матеріали XV Міжнародної конференції з математичної, природничо-наукової та технологічної освіти (ICon-MaSTEd 2022) 18-20 травня 2022 року, м. Кривий Ріг, Україна.Proceedings of the XV International Conference on Mathematics, Science and Technology Education (ICon-MaSTEd 2022) 18-20 May 2022, Kryvyi Rih, Ukraine

Digital Interaction and Machine Intelligence

This book is open access, which means that you have free and unlimited access. This book presents the Proceedings of the 9th Machine Intelligence and Digital Interaction Conference. Significant progress in the development of artificial intelligence (AI) and its wider use in many interactive products are quickly transforming further areas of our life, which results in the emergence of various new social phenomena. Many countries have been making efforts to understand these phenomena and find answers on how to put the development of artificial intelligence on the right track to support the common good of people and societies. These attempts require interdisciplinary actions, covering not only science disciplines involved in the development of artificial intelligence and human-computer interaction but also close cooperation between researchers and practitioners. For this reason, the main goal of the MIDI conference held on 9-10.12.2021 as a virtual event is to integrate two, until recently, independent fields of research in computer science: broadly understood artificial intelligence and human-technology interaction

Knowledge on the Move: Studies on Mobile Social Education

This book draws on work undertaken by colleagues involved with the Erasmus+ project called SoMoveED, or Social Education on the Move. The broader aim of the project is to develop, implement, and disseminate innovation in the form of a model of mobile social education in higher education, of which this book makes up one small part.The project draws together institutions and organizations from ten European countries (Croatia, the Czech Republic, France, Italy, the Netherlands, Poland, Portugal, Romania, Turkey, and the United Kingdom), including eight universities, two non-governmental organizations and one social enterprise. Approximately 40 people are working on the project, including academic teachers and researchers, entrepreneurs, and social activists. The project’s main objective is to explore and develop ways in which the teaching process can be organized in motion, outside the university walls, with the participation of stakeholders from outside the academic community (citizens, representatives of institutions and organizations, activists, people at risk of marginalization). This model incorporates three important features into the educational process: (1) mobility; (2) participation; and (3) inclusion

High-Performance Modelling and Simulation for Big Data Applications

This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications

Advances in Intelligent Vehicle Control

This book is a printed edition of the Special Issue Advances in Intelligent Vehicle Control that was published in the journal Sensors. It presents a collection of eleven papers that covers a range of topics, such as the development of intelligent control algorithms for active safety systems, smart sensors, and intelligent and efficient driving. The contributions presented in these papers can serve as useful tools for researchers who are interested in new vehicle technology and in the improvement of vehicle control systems

Data and the city – accessibility and openness. a cybersalon paper on open data

This paper showcases examples of bottom–up open data and smart city applications and identifies lessons for future such efforts. Examples include Changify, a neighbourhood-based platform for residents, businesses, and companies; Open Sensors, which provides APIs to help businesses, startups, and individuals develop applications for the Internet of Things; and Cybersalon’s Hackney Treasures. a location-based mobile app that uses Wikipedia entries geolocated in Hackney borough to map notable local residents. Other experiments with sensors and open data by Cybersalon members include Ilze Black and Nanda Khaorapapong's The Breather, a "breathing" balloon that uses high-end, sophisticated sensors to make air quality visible; and James Moulding's AirPublic, which measures pollution levels. Based on Cybersalon's experience to date, getting data to the people is difficult, circuitous, and slow, requiring an intricate process of leadership, public relations, and perseverance. Although there are myriad tools and initiatives, there is no one solution for the actual transfer of that data

Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm

Abstract— Online transportation has become a basic requirement of the general public in support of all activities to go to work, school or vacation to the sights. Public transportation services compete to provide the best service so that consumers feel comfortable using the services offered, so that all activities are noticed, one of them is the search for the shortest route in picking the buyer or delivering to the destination. Node Combination method can minimize memory usage and this methode is more optimal when compared to A* and Ant Colony in the shortest route search like Dijkstra algorithm, but can’t store the history node that has been passed. Therefore, using node combination algorithm is very good in searching the shortest distance is not the shortest route. This paper is structured to modify the node combination algorithm to solve the problem of finding the shortest route at the dynamic location obtained from the transport fleet by displaying the nodes that have the shortest distance and will be implemented in the geographic information system in the form of map to facilitate the use of the system. Keywords— Shortest Path, Algorithm Dijkstra, Node Combination, Dynamic Location (key words