本地化查询工具包

IF 3 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Pervasive and Mobile Computing Pub Date : 2024-05-28 DOI:10.1016/j.pmcj.2024.101946

Gabriele Marini , Jorge Goncalves , Eduardo Velloso , Raja Jurdak , Vassilis Kostakos

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引用次数: 0

摘要

尽管 UbiComp 研究已稳步提高了定位系统的性能，但此类数据集的分析问题在很大程度上仍未得到解决。在本文中，我们提出了一种工具，以促进对定位时间序列的查询和分析，重点关注语义定位。我们首先借鉴了代表运动和移动性的成熟模型，为定位数据集开发了一种查询语言。然后，我们用 R 语言开发了一个软件库来实现这种查询。我们通过案例研究来演示如何使用我们的编程工具来查询定位数据集。我们的工作解决了本地化研究中的一个重要空白，提供了一种灵活的工具，能够以编程方式实时对本地化数据进行建模和分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A toolkit for localisation queries

While UbiComp research has steadily improved the performance of localisation systems, the analysis of such datasets remains largely unaddressed. In this paper, we present a tool to facilitate querying and analysis of localisation time-series with a focus on semantic localisation. Drawing on well-established models to represent movement and mobility, we first develop a query language for localisation datasets. We then develop a software library in R that implements this querying. We use case studies to demonstrate how our programming tool can be used to query localisation datasets. Our work addresses an important gap in localisation research, by providing a flexible tool that can model and analyse localisation data programmatically and in real time.

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来源期刊

Pervasive and Mobile Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

CiteScore

7.70

自引率

2.30%

发文量

审稿时长

68 days

期刊介绍： As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral parts of our daily lives. Tremendous developments in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoTs, etc.) to ubiquitous connectivity, via a variety of wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including edge, fog and cloud) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing. Cutting-edge applications and paradigms have evolved, such as cyber-physical systems and smart environments (e.g., smart city, smart energy, smart transportation, smart healthcare, etc.) that also involve human in the loop through social interactions and participatory and/or mobile crowd sensing, for example. The goal of pervasive computing systems is to improve human experience and quality of life, without explicit awareness of the underlying communications and computing technologies. The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems.