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The recent rise in the use of social networks has resulted in an abundance of information on different aspects of everyday social activities that is available online. In the process of analysis of identifying the information originating from social networks, and especially Twitter, an important aspect is that of the geographic coordinates, i.e., geolocalisation, of the relevant information. Geolocalized...
We present a visualisation of Melbourne pedestrian count data and a visual metaphor for representing hour-level temporal dimension in this context. The pedestrian count data is captured from sensors located around the city. A visualisation web application is implemented that incorporates a thematic map of these sensor locations with a 24-hour clocklike polygon that shows pedestrian counts at every...
An obstacle for users engaged in data analysis task is determining the most useful way to visually represent their particular datasets. For users with little background in data analytics, this is mostly done through a trial-and-error process. My focus is on investigating appropriate techniques for automatically generating visualisations that help in identifying inconsistencies in data; explicit modelling...
The use of playful interactions, clever metaphors, and wordplay are ways that we make computation more appealing to young people and more accessible and intuitive to everyone. But play is a culturally situated notion, and ways that we embed playfulness into our designs can carry unintended messages that encourage or discourage productive use. The focus of this talk is to introduce the term Value-driven...
In this paper, we present a tracking system to estimate the position of a surgical instrument used in minimally invasive spine surgeries for training. The purpose of our system is to get the information about movements and surgeons skills during the training. The system uses four infrared markers embedded on the surgical instrument of common used. At least two Wii Remote Control is needed for calculating...
In this paper, we develop deep spatio-temporal neural networks to sequentially count vehicles from low quality videos captured by city cameras (citycams). Citycam videos have low resolution, low frame rate, high occlusion and large perspective, making most existing methods lose their efficacy. To overcome limitations of existing methods and incorporate the temporal information of traffic video, we...
Gamification of software engineering tasks improve developer engagement, but has been limited to mechanisms such as points and badges. We believe that a tool that provides developers an interface analogous to computer games can represent the gamification of software engineering tasks more effectively via software visualization. We introduce CityVR – an interactive software visualization tool that...
Many visualizations have proven to be effective in supporting various software related tasks. Although multiple media can be used to display a visualization, the standard computer screen is used the most. We hypothesize that the medium has a role in their effectiveness. We investigate our hypotheses by conducting a controlled user experiment. In the experiment we focus on the 3D city visualization...
For developers concerned with a performance drop or improvement in their software, a profiler allows a developer to quickly search and identify bottlenecks and leaks that consume much execution time. Non real-time profilers analyze the history of already executed stack traces, while a real-time profiler outputs the results concurrently with the execution of software, so users can know the results...
Software visualizations are used to support stakeholders in software engineering activities like development, project management, and maintenance. The respective tasks determine which aspects of software, i.e., structural, behavioral and/or evolutionary information, need to be visualized. To promote the usage of software visualizations they have to optimally support the needs of the respective stakeholder...
Visual or image-based self-localization refers to the recovery of a camera's position and orientation in the world based on the images it records. In this paper, we deal with the problem of self-localization using a sequence of images. This application is of interest in settings where GPS-based systems are unavailable or imprecise, such as indoors or in dense cities. Unlike typical approaches, we...
Thanks to the ubiquitous cell phone use, we have never been so close to uncover population mobility patterns in urban area. While some researches utilize cellphone call records to mine population patterns, few works aim to depict population movement in adaptively spatial and temporal representations, i.e., from a community, a district in the city over an hour, a day to a week. In this paper, we construct...
"Some phenomena, such as crimes in a city, fires occurred in a country and road accidents can be interpreted as sets of spatio-temporal events. A spatio-temporal event is described by a geographic location, a time instant and other characterising attributes.The cartographic visualisation of spatio-temporal events remains unresolved, due to the challenges related with portraying multiple dimensions...
This paper presents the generative image processing model for extracting themes from aerial imagery. We model image as a collection of themes and each theme as a collection of objects. We learn urban themes using unsupervised Latent Dirichlet Allocation. Further, we use the learned topic (theme) model directly to infer some of the important parameters of facility management. On a test dataset of the...
This paper presents software visualization tool that utilizes the modified city metaphor to represent software system and related analysis data in virtual reality environment. To better address all three kinds of software aspects we propose a new layouting algorithm that provides a higher level of detail and position the buildings according to the coupling between classes that they represent. Resulting...
The one of the most vital public transport problems in cities is discrepancy between transport systems and numerous requirements to urban mobility. One of the crucial tasks is optimization of bus stops location for purposes of public transport usability and convenience. Most of current methods of solving such problems omit various obstacles and models of pedestrian motion. The study proposes a new...
Background: We developed a low cost virtual reality [VR] platform using recent substantial advancements in the VR field (namely, Oculus Rift and Vive HTC headsets). Our novel platform comprehensively targets sensory integration for postural control in a manner that is salient and specific to the individual while being affordable, portable and clinically applicable. We aimed to establish the feasibility...
Accurate self-localization is a critical problem in autonomous driving system. An autonomous vehicle requires sub-meter level positioning to make motion planning. However, in urban scenarios, the common Global Navigation Satellite System (GNSS) localization suffers from various difficulties as multipath and Non-Line-Of-Sight (NLOS). The Stereo visual odometry proves to be capable of localizing the...
Recovering the legibility features is key to reverse engineering as the legible software systems can ease developer's code navigation and comprehension. Landmarks are important legibility features that developers use as reference points. In this paper, we leverage visual clustering to explore how landmarks can be identified via static dependencies. Besides organizing software entities with coherent...
This research includes information on the cultural and media consumption of young Ecuadorian university students and the relationship that exists with the media skills they have. The inquiries were carried out in two stages, the first analyzed the consumption of traditional and digital media of Ecuadorian university students in 2015. Twenty-six universities in Ecuador were studied with representative...
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