New mobilities for accessible cities: Toward scenarios for seamless journeys

While cities increasingly attest to plans to make their resources accessible for people with disabilities, the realities of achieving the travel considered integral to urban life continue to be frustrating and prohibitive for this group. Accessing the basic opportunities of contemporary urban life now presupposes the supports and resources afforded by new mobilities, combining virtual and actual travel and communication in negotiating our work, leisure, connections with families and culture. For the researchers applying the new mobilities paradigm, this requires a focus which is suited to capturing movement and its spatial and temporal coordinates and should also turn to illuminate the darker side of these relationships: coerced immobility experienced by people with disabilities. This chapter discusses an approach to research and the development of design scenarios – concepts emerging from research that may inform design - that take seriously the role of movement, time and space in the achievement of valued connections by individuals with disabilities with particular reference to the journey to work. In particular we apply, in a case study, concepts of time and space that are relevant to the in situ experience of getting to work; raising questions regarding the way getting ready and travelling are experienced in the context of risk and contingency and the actual and potential role of the technical, material and social environment. We then respond to the analysis of this case with a discussion about the way emergent scenarios can imagine “possible or preferable futures” for the mobile citizenship of people with disabilities.

Autonomous UAVs wildlife detection using thermal imaging, predictive navigation and computer vision

There is an increased interest on the use of Unmanned Aerial Vehicles (UAVs) for wildlife and feral animal monitoring around the world. This paper describes a novel system which uses a predictive dynamic application that places the UAV ahead of a user, with a low cost thermal camera, a small onboard computer that identifies heat signatures of a target animal from a predetermined altitude and transmits that target’s GPS coordinates. A map is generated and various data sets and graphs are displayed using a GUI designed for easy use. The paper describes the hardware and software architecture and the probabilistic model for downward facing camera for the detection of an animal. Behavioral dynamics of target movement for the design of a Kalman filter and Markov model based prediction algorithm are used to place the UAV ahead of the user. Geometrical concepts and Haversine formula are applied to the maximum likelihood case in order to make a prediction regarding a future state of the user, thus delivering a new way point for autonomous navigation. Results show that the system is capable of autonomously locating animals from a predetermined height and generate a map showing the location of the animals ahead of the user.

Open source computer-vision based guidance system for UAVs on-board decision making

The use of UAVs for remote sensing tasks; e.g. agriculture, search and rescue is increasing. The ability for UAVs to autonomously find a target and perform on-board decision making, such as descending to a new altitude or landing next to a target is a desired capability. Computer-vision functionality allows the Unmanned Aerial Vehicle (UAV) to follow a designated flight plan, detect an object of interest, and change its planned path. In this paper we describe a low cost and an open source system where all image processing is achieved on-board the UAV using a Raspberry Pi 2 microprocessor interfaced with a camera. The Raspberry Pi and the autopilot are physically connected through serial and communicate via MAVProxy. The Raspberry Pi continuously monitors the flight path in real time through USB camera module. The algorithm checks whether the target is captured or not. If the target is detected, the position of the object in frame is represented in Cartesian coordinates and converted into estimate GPS coordinates. In parallel, the autopilot receives the target location approximate GPS and makes a decision to guide the UAV to a new location. This system also has potential uses in the field of Precision Agriculture, plant pest detection and disease outbreaks which cause detrimental financial damage to crop yields if not detected early on. Results show the algorithm is accurate to detect 99% of object of interest and the UAV is capable of navigation and doing on-board decision making.

Tools for compositional data with a total

Compositional data analysis usually deals with relative information between parts where the total (abundances, mass, amount, etc.) is unknown or uninformative. This article addresses the question of what to do when the total is known and is of interest. Tools used in this case are reviewed and analysed, in particular the relationship between the positive orthant of D-dimensional real space, the product space of the real line times the D-part simplex, and their Euclidean space structures. The first alternative corresponds to data analysis taking logarithms on each component, and the second one to treat a log-transformed total jointly with a composition describing the distribution of component amounts. Real data about total abundances of phytoplankton in an Australian river motivated the present study and are used for illustration.

A lifespan perspective on creativity and innovation at work

In this review, we address the relationship of aging with creativity and innovation at work. Organizing our review around the triad of person, environment, and behavior, we first discuss relevant theories and empirical findings from the creativity/innovation and aging literatures, and then review meta-analytical and primary studies on the aging-creativity/innovation relationship. In contrast to prevalent age stereotypes, we show that the empirical literature does not support direct, zero-order relationships, but that more complex (moderated, indirect, and curvilinear) relationships are highly plausible. We illustrate this point with a discussion of research on aging and scientific creativity. Finally, we outline opportunities for future research, both methodological and conceptual.