Leveraging predictive machine learning models on geo-spatial GPS data to analyze and predict tourist visits to Wakayama Castle, this study offers insights for urban design and policy-making. Employing counterfactual analysis, a novel approach in the ...

Travel is an integral aspect of our lives, and this rings true for blind and visually impaired individuals alike. This activity can be enhanced with technology to facilitate a safer and more efficient experience, however with the abundance of options ...

We give an outline of recent results and propose several open problems in linear search by searchers, modelled as autonomous mobile agents. The trajectories of the searchers are continuous and the search domain is the infinite real line or ...

Urban navigation systems traditionally optimize for efficiency, thereby overlooking environmental factors and personal preferences. This paper introduces Routify, a novel multi-criteria recommender system for personalized urban route selection. Routify ...

This document introduces use cases where Time-Variant Routing (TVR) computations (i.e., routing computations that take into consideration time-based or scheduled changes to a network) could improve routing protocol convergence and/or network performance.

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 technology-agnostic conceptual framework for indoor localisation queries.
• Preserves spatio-temporal relationships between individuals and groups.
• Flexible syntax to query and track individuals, groups, across spaces and time.

Mobility has ultimate applications in Wireless Sensor Networks (WSNs) including several areas such as wildlife intensive care, health monitoring, flood and fire detection, and much more. Mobile WSNs (MWSNs) have captivated customer attention in ...

Trajectories, a specific type of mobility data, can be used for many useful data mining tasks. However, these trajectories also raises important privacy concerns due to their strong inference potential. In this work, we propose TUL-STEO, a novel ...

Understanding human mobility characteristics is essential for enhancing the functionality of map applications and navigation systems because the users have many mobility styles (e.g., driving straight down wide roads, walking slowly along nature-...

Urban planning frequently involves citizen participation and Participatory Design processes. A range of digital platforms and apps have been developed that facilitate both online and in-person interactions. This paper gives an overview of the PhD project ...

In this work, two-dimensional electron gas of the dual material gate Fe doped AlGaN/AlN/GaN High Electron Mobility Transistors (HEMTs) device, sheet charge density model is demonstrated. The model is constructed by considering the electron charge ...

Epilepsy is a severe neurological disorder that causes seizures. It is detected by analyzing the electrical impulses of the human brain. Monitoring the brain is commonly done using an electroencephalogram (EEG). Seizure detection from the large ...

Due to the mobile and random nature of services in cyber–physical–social systems (CPSSs), developing service composition approaches that ensure high availability, minimal energy consumption, and high quality of service (QoS) remains a complex ...

We present a study to assess the feasibility and implications of replacing internal combustion engine vehicles with battery-powered electric vehicles (EVs) in a car-sharing fleet. For the analysis, we used operational data from a local car-sharing ...

The use of physically passive assistive technology devices like powered wheelchairs and scooters by people with some preserved walking ability may impose the risk of physical de-conditioning on the user’s physical capacity and their mobility ...

This paper presents and summarizes nine Special Thematic Session (STS) papers focusing on navigational assistive technologies for persons with disabilities, particularly for blind and visually impaired (BVI) individuals. The selected papers cover ...

This article aims to analyse the main variables responsible for the downgrade in the ranking of Bilbao in Spain as the top smart city, according to the International Institute for Management Development (IMD) index. The factors that will undergo ...

ICT technology and Artificial Intelligence can be used to facilitate people's daily activities, including elderly people and/or people with activity limitations. One of the activities classified by WHO ICF for people's well-being is mobility, ...

Outdoor navigation presents a significant challenge for People with Visual Impairments (PVI). While individuals generally rely on visual cues to interpret their surroundings, PVI often require navigation support systems to facilitate their movements. ...

Advancement in mental health care requires easily accessible, efficient diagnostic and treatment assessment tools. Viable biomarkers could enable objectification and automation of the diagnostic and treatment process, currently ...

• We focused on HRV and accelerometer activity as biomarkers for psychosis diagnosis.
• We published a dataset with 1.5-2 h of HRV and mobility data from 60 persons.
• Our analysis indicates a negative correlation between HRV and PANSS ...