Optimizing inventory planning for aircraft component maintenance

This research aims to improve the inventory planning for a logistical provider who offers aircraft component maintenance and availability to its customer. To this purpose, a classification model is introduced which makes use of two existing classification methods i.e. Analytic Hierarchy Process (AHP) and Cost Criterion in order to produce a...

Developing a data based method to quantify the effects of flight track, aircraft weight and engine setting on the received aircraft noise levels

Airports in The Netherlands are subjected to tangent environmental laws to restrain pollution and noise nuisance. Amsterdam Airport Schiphol (AAS) is one airport dealing with this regulatory framework but nevertheless they are resolute to continue growth with respect to aircraft movements. To cope with the law related to aircraft noise, the...

Classifying sediments on Dutch riverbeds using multi-beam echo-sounder systems

The economic importance of the Dutch rivers is very high as they are heavily used for inland waterway transport between the Netherlands and their neighbouring countries. A minimum depth must be guaranteed to keep the rivers navigable but also to ensure that the ships can carry maximum cargo. An attractive system for obtaining information about...

Underwater detection, classification and localisation: Improving the capabilities of towed sonar arrays

The end of the Cold War and the collapse of the Warsaw pact have resulted in a change of operational theatre for the naval forces of the North Atlantic Treaty Organisation (NATO). In particular, the focus of Anti Submarine Warfare forces has shifted from tracking Soviet nuclear ballistic missile submarine in the deep waters of the Atlantic ocean...

A learning Dempster-Shafer model for automated building detection

This paper presents a learning Dempster-Shafer model for the detection of buildings in aerial image and range data. The process of evidence assignment in the Dempster-Shafer method is implemented through membership functions in an adaptive network-based fuzzy inference system, where a back propagation learning rule is employed to tune the...

Performance evaluation of automated approaches to building detection in multi-source aerial data

Automated approaches to building detection in multi-source aerial data are important in many applications, including map updating, city modeling, urban growth analysis and monitoring of informal settlements. This paper presents a comparative analysis of different methods for automated building detection in aerial images and laser data at...

ICESat full waveform signal analysis for the classification of land cover types over the cryosphere

The Earth needs attention. That is the bottom line of today’s discussion on the impact of humans on the environment and their contribution to global warming. With the rapid sea level rise and the melting ice caps, it is becoming increasingly important to understand these processes. Mass balance estimates of the cryosphere (e.g. Greenland and...

Group Purchasing Classification: Symbiotic Relationships in Horizontal Purchasing Cooperation