21 research outputs found

    Recent Advances in Social Data and Artificial Intelligence 2019

    Get PDF
    The importance and usefulness of subjects and topics involving social data and artificial intelligence are becoming widely recognized. This book contains invited review, expository, and original research articles dealing with, and presenting state-of-the-art accounts pf, the recent advances in the subjects of social data and artificial intelligence, and potentially their links to Cyberspace

    Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm

    Get PDF
    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

    International Student Projects and Sustainable Development Goals: A Perfect Match

    Get PDF
    Engineering Education is currently going through a transformation, driven by the need for educating better engineers and more engineers, and largely build on elements such as problem orientation, interdisciplinarity, internationalization, digitalization and sustainability. In 2020, the Erasmus+ Strategic Partnership EPIC (Improving Employability Through Internationalization and Collaboration) has combined all these elements, and demonstrated how international and interdisciplinary student projects, focusing on solving real-world problems related to sustainability, can be carried out in a setting where students mainly work together online. A total of 56 students from 7 EU and 2 international universities, with backgrounds ranging from Electrical Engineering and Mechanical Engineering to Textile Technologies and Business Informatics were working on 9 different projects throughout the spring of 2020. The paper presents the experiences from the setup and discusses some general recommendations for setting up this type of projects. The paper goes through the stages of defining and carrying out the projects: Defining the overall framework, identifying problems/project proposals in collaboration with relevant stakeholders, identifying the students and assigning students to projects, preparing students and supervisors, organising the physical kick-off seminar, and supporting the online collaboration. We also discuss evaluation and hand-over of the solutions, to ensure the projects have a lasting impact. We conclude that the sustainable development goals provide a highly motivating framework for interdisciplinary, international student projects based on problem-based learning. We also note that a careful design and execution of the all the preparatory stages are crucial in order for the projects to succeed, and discuss specific recommendations for these.</p
    corecore