17 research outputs found

    Review and classification of trajectory summarisation algorithms: From compression to segmentation

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    With the continuous development and cost reduction of positioning and tracking technologies, a large amount of trajectories are being exploited in multiple domains for knowledge extraction. A trajectory is formed by a large number of measurements, where many of them are unnecessary to describe the actual trajectory of the vehicle, or even harmful due to sensor noise. This not only consumes large amounts of memory, but also makes the extracting knowledge process more difficult. Trajectory summarisation techniques can solve this problem, generating a smaller and more manageable representation and even semantic segments. In this comprehensive review, we explain and classify techniques for the summarisation of trajectories according to their search strategy and point evaluation criteria, describing connections with the line simplification problem. We also explain several special concepts in trajectory summarisation problem. Finally, we outline the recent trends and best practices to continue the research in next summarisation algorithms.The author(s) disclosed receipt of the following financial support for the research, authorship and/or publication of this article: This work was funded by public research projects of Spanish Ministry of Economy and Competitivity (MINECO), reference TEC2017-88048-C2-2-

    LIPIcs, Volume 277, GIScience 2023, Complete Volume

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    LIPIcs, Volume 277, GIScience 2023, Complete Volum

    12th International Conference on Geographic Information Science: GIScience 2023, September 12–15, 2023, Leeds, UK

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    No abstract available

    Enhanced 3D terrain visualization process using game engine

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    Recently, many information visualization regarding terrain use 2D maps which include shading and lines to show the terrain. However, the emerging 3D terrain visualization technologies and software may produce a lot of terrain information. This emerging technology is also concurrent with the growth of game engines. As for this study, Unity3D, one of these game engines, has built-in terrain engine that provides 3D terrain visualization. Moreover, this engine provides the ability to be able to publish as web application for the online environment. Based on the literature review, there are studies related to terrain visualization developed using game engines, however, majority focuses on the capability of terrain visualization in an offline environment. None of these studies focus on the performance of the 3D visualization process in an online environment. Thus, the aim of this study is to enhance the process of generating 3D terrain visualization with GIS data generated from the Unity3D game engine in an online environment. The results of the performance are compared with two different situation that is online and offline. Several experiments are conducted and performances are measured based on loading time, response time, frames per second (FPS), memory usage and CPU usage of different terrain data types and size. The study adopts design research process that is comprised of problem identification from literature review, solution development by using the process to develop the prototype needed, and evaluation by comparing the output of the visualization process. The findings show that the process of enhancing 3D terrain visualization with GIS data generated from the Unity3D game engine in offline environment is better compared to those online. This is due to the compression and the need for Unity3D web player to make contact with the Unity server for authentication and also for visualization during online. Furthermore, operating system resource needs to be used before it goes online. The main finding of this study is the new algorithm of enhancing 3D terrain visualization process using Unity3D game engine. The algorithm can be divided into three processes which are terrain data reading, terrain data conversion, and terrain data processing. It may assist the developer on how to enhance the process of developing web-based 3D terrain visualization using Unity3D game engine

    A framework to estimate the risk of noise exposure from vessels for endangered cetacean species

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    This thesis proposes a framework for assessing and visualizing exposure of the Southern Resident Killer Whale (SRKW) population to vessels’ noise. First, SRKW distribution was mapped and the risk for this population to be exposed to vessel-noise was estimated. The study identified six vessel classes as being the main contributors to noise exposure for SRKW. Building on this result, the second study presents an analytical framework focused on exposure hotspot mapping, the computation of probabilistic levels of exposure, and the identification of shipping routes minimizing exposure for SRKW. The framework was tested in the Salish Sea, leading to the identification of four hotspots of exposure for SRKW. Small spatial changes in the current shipping lanes could lead to a large reduction of the overlap between vessel traffic and sensitive areas for SRKW. The results highlight how effectively addressing vessel noise requires the implementation of adaptive management strategies

    Linguistic variation across Twitter and Twitter trolling

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    Trolling is used to label a variety of behaviours, from the spread of misinformation and hyperbole to targeted abuse and malicious attacks. Despite this, little is known about how trolling varies linguistically and what its major linguistic repertoires and communicative functions are in comparison to general social media posts. Consequently, this dissertation collects two corpora of tweets – a general English Twitter corpus and a Twitter trolling corpus using other Twitter users’ accusations – and introduces and applies a new short-text version of Multi-Dimensional Analysis to each corpus, which is designed to identify aggregated dimensions of linguistic variation across them. The analysis finds that trolling tweets and general tweets only differ on the final dimension of linguistic variation, but share the following linguistic repertoires: “Informational versus Interactive”, “Personal versus Other Description”, and “Promotional versus Oppositional”. Moreover, the analysis compares trolling tweets to general Twitter’s dimensions and finds that trolling tweets and general tweets are remarkably more similar than they are different in their distribution along all dimensions. These findings counter various theories on trolling and problematise the notion that trolling can be detected automatically using grammatical variation. Overall, this dissertation provides empirical evidence on how trolling and general tweets vary linguistically

    Sustainable Smart Cities and Smart Villages Research

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    ca. 200 words; this text will present the book in all promotional forms (e.g. flyers). Please describe the book in straightforward and consumer-friendly terms. [There is ever more research on smart cities and new interdisciplinary approaches proposed on the study of smart cities. At the same time, problems pertinent to communities inhabiting rural areas are being addressed, as part of discussions in contigious fields of research, be it environmental studies, sociology, or agriculture. Even if rural areas and countryside communities have previously been a subject of concern for robust policy frameworks, such as the European Union’s Cohesion Policy and Common Agricultural Policy Arguably, the concept of ‘the village’ has been largely absent in the debate. As a result, when advances in sophisticated information and communication technology (ICT) led to the emergence of a rich body of research on smart cities, the application and usability of ICT in the context of a village has remained underdiscussed in the literature. Against this backdrop, this volume delivers on four objectives. It delineates the conceptual boundaries of the concept of ‘smart village’. It highlights in which ways ‘smart village’ is distinct from ‘smart city’. It examines in which ways smart cities research can enrich smart villages research. It sheds light on the smart village research agenda as it unfolds in European and global contexts.
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