Due to the availability of cheap 3D sensors such as Kinect and LiDAR, use data in various domains manufacturing, healthcare, retail achieve operational safety, improved outcomes, enhanced customer experience has gained momentum recent years. In many these domains, object recognition is being performed using against difficulties posed by illumination, pose variation, scaling, etc present 2D data...

The recent advances in database technology have enabled the development of a new generation of spatial databases, where the DBMS is able to manage spatial and non-spatial data types together. Most spatial databases can deal with vector geometries (e.g., polygons, lines and points), but have limited facilities for handling image data. However, the widespread availability of high-resolution remot...

The protection of privacy is an increasing concern in today’s global infrastructure. One of the most important privacy protection principles states that personal information collected for one purpose may not be used for any other purpose without the specific informed consent of the person it concerns. Although users provide personal information for use in one specific context, they often have n...

The impact of GIS research extends beyond GIS. Our expertise about space, spatial relations, and spatial knowledge needs to be shared with other domains who can benefit from it, even if their problems are not inherently spatial. This paper discusses the needs for spatial expertise in the field of human-computer interaction. Modern user interface design increasingly employs spatial metaphors to ...

We can all think of instances where we find that data about us has been used in a way that we find surprising, unwelcome, or even harmful. The more our lives are conducted on, or through, online services, the more potential there is for this to happen, and the greater our dependence on the behaviour of other entities over whom we may have little or no control. In that context, how can we optimi...

Systems that track sensed data trigger alerts based on the evaluation of some condition. In the presence of loss data a conservative condition may not generate a necessary alert and an aggressive condition may generate an alert that could have never happened. We observe that some lost values can be predicted and suggest new classes of conditions that provide more accurate alerts. We motivate th...