Special Issue "State-of-the-Art Sensors Technology in The Netherlands"

Guest Editor
Dr. Monica Wachowicz
Wageningen University and Research Centre, Centre for Geo-Information, Po Box 47, 6700 AA Wageningen, The Netherlands
E-Mail:

The aim of this special issue is to provide a comprehensive view on the state-of-the-art sensors technology in The Netherlands. Research articles are solicited which will provide a consolidated state-of-the-art in this area. The Special Issue will publish those full research, review and high rated manuscripts addressing the above topic.

Submission

• biosensors
• chemical sensors
• physical sensors
• remote sensing sensors

Manuscript ID: Sensors-71-02-Salah-nl
Type of Paper: Article
Title: T-Patterns Revisited: Mining for Temporal Patterns in Sensor Data
Authors: Albert Ali Salah ¹ and Eric Pauwels ²
Affiliations: ¹ ISLA-ISIS, University of Amsterdam, Science Park 107,1098 XG, Amsterdam, The Netherlands
² PNA4, CWI, Science Park 123,1098 XG, Amsterdam, The Netherlands
Abstract: The trend to use large amounts of simple sensors as opposed to a few complex sensors to monitor places and systems creates a need for temporal pattern mining algorithms to work on such data. The methods that try to discover re-usable and interpretable patterns in temporal event data have several short comings. We contrast several recent approaches to the problem, and extend the T-Pattern algorithm, which was previously applied for detection of temporal patterns in behavioural sciences. The temporal complexity of the T-pattern approach is prohibitive in the scenarios we consider. We remedy this with a statistical model to obtain a fast and robust algorithm to find patterns in temporal data. We test our algorithm on a recent data base collected with passive in frared sensors with millions of events.
Keywords: sensor networks; temporal pattern extraction; T-patterns; Lempel-Ziv; Gaussian mixture model; MERL motion data

Type of Paper: Article
Title: Automated quality assessment of AHN-2 laser data using planar features
Authors: Corné van der Sande, Sylvie Soudarissanane and Kourosh Khoshelham
Affiliation: Optical and Laser Remote Sensing, Faculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands; E-Mails: corne.vandersande@neo.nl (C.v.d.S.); S.S.Soudarissanane@tudelft.nl (S.S.); K.KhoshElham@tudelft.nl (K.K.)
Abstract: AHN-2 is the second part of the project Actueel Hoogtebestand Nederland, which concerns the acquisition of high-resolution elevation data over the entire Netherlands using airborne laser scanning. The quality assessment of aerial laser data usually relies on comparing corresponding tie elements, often points or lines, in the overlapping strips. This paper proposes a new approach to strip adjustment and quality assessment of aerial laser data by using planar features. In the proposed approach a transformation is estimated between two overlapping strips by minimizing the distances between points in one strip and their corresponding plane in the other. The planes and the corresponding points are extracted in an automated segmentation process. The point-to-plane distances are used as observables in an estimation model, where the parameters of a transformation between two strips and their associated quality measures are estimated. We demonstrate the performance of the method on the AHN-2 dataset over Zeeland province of The Netherlands. The dataset consists of 13 overlapping strips, from which a total of 522 gable roof and dike slope planes are extracted. The results show planimetric offsets between the strips that range from 3.13 cm to 55.32 cm. These offsets are in agreement with previously reported results using linear features. In addition, we estimated vertical offsets in the order of a few centimeters, which were not estimated in previous studies. The rotation parameters between thestrips were also estimated; however, these did not show a significant difference in the orientation of the strips.

Type of Paper: Article
Title: A Fluorescent Thermometer Based on a Pyrene-Labeled Thermoresponsive Polymer
Authors: Christian Pietsch, Richard Hoogenboom and Ulrich S. Schubert
Affiliation: Laboratory of Macromolecular Chemistry and Nanoscience, Eindhoven University of Technology and Dutch Polymer Institute (DPI), PO Box 513, 5600 MB Eindhoven, The Netherlands; E-Mails: r.hoogenboom@tue.nl (R.H.); ulrich.schubert@uni-jena.de (U.S.S.)
Abstract: Thermoresponsive polymers that undergo a solubility transition by variation of the temperature are interesting for the development of ‘smart’ materials. In this contribution we exploit the transition from hydrophilic to hydrophobic that occurs during the solubility phase transition of poly(methoxydiethylene glycol methacrylate) for the development of a fluorescent thermometer. To translate the polymer phase transition into a fluorescent response, the polymer was functionalized with pyrene that reveals a change in emission based on the microenvironment. This approach led to a soluble polymeric fluorescent thermometer in a temperature range from 10 ºC to 30 ºC.