Specialized drift recovery and station keeping algorithms were developed for the Canadian Advanced Nanospace eXperiments 4 and 5 (CanX-4 & CanX-5) formation flying mission (launched 30 June 2014), and successfully verified on orbit. These algorithms performed almost exactly according to predictions. The highly successful CanX-4 and CanX-5 formation flying demonstration mission was completed in November 2014, ahead of schedule. CanX-4 & CanX-5 are a pair of identical formation flying nanosatellites that demonstrated autonomous sub-metre formation control, with relative position knowledge of better than 10 cm and control accuracy of less than one metre at ranges of 1000 to 50 metres. This level of performance has never before been seen on nan...
Shortest path is a key component of several network related problems and has been widely used and ap...
peer reviewedThe construction, as a successor to the Saussurian sign, is usually envisaged as a disc...
Most of the unsupervised machine learning algorithms focus on clustering the data based on similarit...
In the practice of active noise control, the control filter can be designed in either the time domai...
Analyze of Piping Design Inlet Vertical Liquid-Gas Separator after experiencing an Increase flowrate...
In this thesis, new methods are presented for mining the logical hierarchy of pages of a Web site an...
ABSTRACT: Surface plasmon resonance-based biosensors have been extensively applied to the characteri...
In this paper, we examine the pure exchange motive for intergenerational transfers within the family...
In this paper, we show the validity of the method of upper andlower solutions to obtain an existence...
In this thesis, a novel hybrid cooling concept for electric batteries is developed and studied at bo...
A rare combination of strong spin–orbit coupling and electron–electron correlations makes the iridat...
Recently, expansion of drone applications has been expected, and payload delivery using drones is on...
The purpose of this study is to investigate the geological and engineering factors that affect the c...
Large-scale Electrical Energy Storage (EES) supports the expanding integration of intermittent renew...
En los últimos años ha habido un creciente interés en monitorizar el comportamiento de los conductor...
Shortest path is a key component of several network related problems and has been widely used and ap...
peer reviewedThe construction, as a successor to the Saussurian sign, is usually envisaged as a disc...
Most of the unsupervised machine learning algorithms focus on clustering the data based on similarit...
In the practice of active noise control, the control filter can be designed in either the time domai...
Analyze of Piping Design Inlet Vertical Liquid-Gas Separator after experiencing an Increase flowrate...
In this thesis, new methods are presented for mining the logical hierarchy of pages of a Web site an...
ABSTRACT: Surface plasmon resonance-based biosensors have been extensively applied to the characteri...
In this paper, we examine the pure exchange motive for intergenerational transfers within the family...
In this paper, we show the validity of the method of upper andlower solutions to obtain an existence...
In this thesis, a novel hybrid cooling concept for electric batteries is developed and studied at bo...
A rare combination of strong spin–orbit coupling and electron–electron correlations makes the iridat...
Recently, expansion of drone applications has been expected, and payload delivery using drones is on...
The purpose of this study is to investigate the geological and engineering factors that affect the c...
Large-scale Electrical Energy Storage (EES) supports the expanding integration of intermittent renew...
En los últimos años ha habido un creciente interés en monitorizar el comportamiento de los conductor...
Shortest path is a key component of several network related problems and has been widely used and ap...
peer reviewedThe construction, as a successor to the Saussurian sign, is usually envisaged as a disc...
Most of the unsupervised machine learning algorithms focus on clustering the data based on similarit...