Trace2trace-A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories.

Neural machine translation is a prominent field in the computational linguistics domain. By leveraging the recent developments of deep learning, it gave birth to powerful algorithms for translating text from one language to another. This study aims to assess the feasibility of transferring the neural machine translation approach into a completely different context, namely human mobility and trajectory analysis.

Collective Prediction of Individual Mobility Traces for Users with Short Data History.

We present and test a sequential learning algorithm for the prediction of human mobility that leverages large datasets of sequences to improve prediction accuracy, in particular for users with a short and non-repetitive data history such as tourists in a foreign country. The algorithm compensates for the difficulty of predicting the next location when there is limited evidence of past behavior by leveraging the availability of sequences of other users in the same system that provide redundant records of typical behavioral patterns. We test the method on a dataset of 10 million roaming mobile phone users in a European country.

Geo-located Twitter as proxy for global mobility patterns.

Pervasive presence of location-sharing services made it possible for researchers to gain an unprecedented access to the direct records of human activity in space and time. This article analyses geo-located Twitter messages in order to uncover global patterns of human mobility. Based on a dataset of almost a billion tweets recorded in 2012, we estimate the volume of international travelers by country of residence.

Ubiquitous geo-sensing for context-aware analysis: exploring relationships between environmental and human dynamics.

Ubiquitous geo-sensing enables context-aware analyses of physical and social phenomena, i.e., analyzing one phenomenon in the context of another.

Developing transboundary river basin monitoring programmes using the DPSIR indicator framework.

Policymakers are often dissatisfied by the lack of what they consider useful information to support water management. Analysis of this 'water information gap' shows that this is caused by a lack of proper communication between information users and information producers. To improve this communication the process of specification of information needs has been structured.

A methodology to bridge the water information gap.

The metaphor of the water information gap is used to describe the discontent between information users and information producers about the use of and need for specific information. This paper describes the rugby-ball methodology for specification of information needs that was developed on the basis of an analysis of the water information gap and insights from the literature on policy- and decision-analysis, problem-structuring, and information management. The methodology consists of a process-architecture to manage the process of assessing information needs and a structure to organise the information needs related to water policy objectives.

Specifying information needs for Dutch National Policy evaluation.

There is mutual dissatisfaction among policy makers and monitoring specialists about producing what is considered useful information for policy development, implementation and evaluation. Insufficient or inappropriate communication between information users and producers is considered to be a main cause for this water information gap. This paper tests the rugby-ball methodology that has been designed to bridge the gap.

Analyzing the data-rich-but-information-poor syndrome in Dutch water management in historical perspective.

Water quality monitoring has developed over the past century from an unplanned, isolated activity into an important discipline in water management. This development also brought about a discontent between information users and information producers about the usefulness and usability of information, in literature often referred to as the data-rich-but-information-poor syndrome. This article aims to gain a better understanding of this issue by studying the developments over some five decades of Dutch national water quality monitoring, by analyzing four studies in which the role and use of information are discussed from different perspectives, and by relating this to what is considered in literature as useful information.

Electromagnetic interference from radio frequency identification inducing potentially hazardous incidents in critical care medical equipment.

Context: Health care applications of autoidentification technologies, such as radio frequency identification (RFID), have been proposed to improve patient safety and also the tracking and tracing of medical equipment. However, electromagnetic interference (EMI) by RFID on medical devices has never been reported.

Objective: To assess and classify incidents of EMI by RFID on critical care equipment.

Value functions for environmental pollutants: A technique for enhancing the assessment of expert judgements.

This paper presents a new procedure to assess value functions for environmental pollutants. It has been particularly designed for eliciting expert-based value functions for pollutant substances. The main features of the model are the possibility to integrate direct and indirect assessment techniques, the possibility to make explicit assessment uncertainties and to avoid forcing quantitative judgements.