We propose a novel approach to selection of important streets from a network, based on the technique of a self-organizing map (SOM), an artificial neural network algorithm for data clustering and visualization. Using the SOM training process, the approach derives a set of neurons by considering multiple attributes including topological, geometric and semantic properties of streets. The set of n...

A novel method for extracting linear streets from a street network is proposed where a linear street is defined as a sequence of connected street segments having a shape similar to a straight line segment. Specifically a given street network is modeled as a Conditional Random Field (CRF) where the task of extracting linear streets corresponds to performing learning and inference with respect to...

A fundamental problem in robotics is to compute a path for a robot from its current location to a given goal. In this paper we consider the problem of a robot equipped with an on-board vision system searching for a goal g in an unknown environment. We assume that the robot is originally located at a point s on the boundary of a street polygon. A street is a simple polygon with two distinguished...

As the number of vehicles continues to grow, parking spaces are at a premium in city streets. Additionally, due to the lack of knowledge about street parking spaces, heuristic circling the blocks not only costs drivers’ time and fuel, but also increases city congestion. In the wake of recent trend to build convenient, green and energy-efficient smart cities, we rethink common techniques adopted...

Only 25-35% of Canadian children and youth regularly engage in active transportation (AT; e.g., non-motorized travel modes such as walking and cycling) to/from school. Previous research shows that distance between home and school is the strongest barrier to AT. Based on social ecological theory, we describe several strategies to overcome this barrier. At the individual level, children and youth...

The objective of this paper is to define and share the conception of a research about the population of Portuguese Open University students who are enrolled in curricular units of the Bachelor in Management. We intend to build up a questionnaire to identify the following analytical dimensions: 1) the study and work practices of students in current traditional distance learning; 2) the student’s...

We propose a novel approach to selection of important streets from a network, based on the technique of a self-organizing map (SOM), an artificial neural network algorithm for data clustering and visualization. Using the SOM training process, the approach derives a set of neurons by considering multiple attributes including topological, geometric and semantic properties of streets. The set of n...

some cerasus sub-genus wild species that are used as rootstocks in sour and sweet cherry propagation can also be employed in breeding programs. the aim of this study was to clearly evaluate some characteristics of subgenus cerasus genotypes to be used in the future cherries' breeding programs. in order to evaluate some morphological characteristics of the vegetative parts as well as seeds ...