International Journal of Intelligent Defence Support Systems http://www.inderscience.com/browse/index.php?journalID=269&year=2011&vol=4&issue=4 Inderscience Publishers Ltd en-uk International Journal of Intelligent Defence Support Systems 1755-1587 1755-1595 © 2011 Inderscience Publishers Ltd editor@inderscience.com https://www.inderscience.com/images/files/coverImgs/ijidss_scoverijidss.jpg http://www.inderscience.com/browse/index.php?journalID=269&year=2011&vol=4&issue=4 http://www.inderscience.com/link.php?id=44804 Command and Control (C2) enables a commander to recognise what objectives to achieve and is the means to ensure that appropriate actions are taken. Important insights can be gained by studying the complex patterns of interactions in military headquarters. Since traditional social network analysis (SNA) quantifies social interactions in terms of network theory without associated contextual information, we have developed a tool, called SNA of C2 (SNAC2), to exploit captured information of an evolving social network. Features include contextual marking-up of data, tagging with meta-data, the ability to categorise events into phases for in-depth analysis and enhanced metrics allowing quantitative temporal analysis of the social network. SNAC2 is applied to analysing dynamic targeting, a process used in the air and space operations centre (AOC) to engage time-sensitive targets (TSTs). The rich data captured could be used to expose process chokepoints, inefficient work practices and inappropriate workspace design. Analysis of evolving team interactions in dynamic targeting
Edward H.S. Lo; T. Andrew Au; Peter J. Hoek; Lorenz Eberl
International Journal of Intelligent Defence Support Systems, Vol. 4, No. 4 (2011) pp. 309 - 327
Command and Control (C2) enables a commander to recognise what objectives to achieve and is the means to ensure that appropriate actions are taken. Important insights can be gained by studying the complex patterns of interactions in military headquarters. Since traditional social network analysis (SNA) quantifies social interactions in terms of network theory without associated contextual information, we have developed a tool, called SNA of C2 (SNAC2), to exploit captured information of an evolving social network. Features include contextual marking-up of data, tagging with meta-data, the ability to categorise events into phases for in-depth analysis and enhanced metrics allowing quantitative temporal analysis of the social network. SNAC2 is applied to analysing dynamic targeting, a process used in the air and space operations centre (AOC) to engage time-sensitive targets (TSTs). The rich data captured could be used to expose process chokepoints, inefficient work practices and inappropriate workspace design.

]]> 10.1504/IJIDSS.2011.044804 International Journal of Intelligent Defence Support Systems, Vol. 4, No. 4 (2011) pp. 309 - 327 Edward H.S. Lo; T. Andrew Au; Peter J. Hoek; Lorenz Eberl Defence Science and Technology Organisation, Department of Defence, Canberra, ACT, 2600, Australia. ' Defence Science and Technology Organisation, Department of Defence, Canberra, ACT, 2600, Australia. ' Defence Science and Technology Organisation, Department of Defence, Canberra, ACT, 2600, Australia. ' Defence Science and Technology Organisation, Department of Defence, Canberra, ACT, 2600, Australia air and space operations centre AOC enhanced SNA social network analysis dynamic targeting time sensitive targets intelligent defence support systems command and control team interactions teamwork military headquarters military HQ social networks metadata process bottlenecks work practices workspace design. 2012-01-09T23:20:50-05:00 4 4 309 327 2012-01-09T23:20:50-05:00 http://www.inderscience.com/link.php?id=44805 Localisation is a vital problem in a multitude of research fields, such as navigation, tracking, sensor networks and so on. In previous work, the problem is considered in the plane or in three-dimensional space. This work deals with the problem of distance-based localisation on the surface of the earth when the points lie in a two-dimensional manifold. The challenge lies with finding an appropriate technique to cope with noisy measurements when the conventional formulation for a planar model cannot be used. To this end, we adopt a tool recently applied to the planar model, the Cayley-Menger matrix. Simulation results show that the proposed method is effective and robust to noise. We also quantify the effect of a planar approximation. Noisy localisation on the sphere
Changbin Yu; Baoqi Huang; Hongyi Chee; Brian D.O. Anderson
International Journal of Intelligent Defence Support Systems, Vol. 4, No. 4 (2011) pp. 328 - 350
Localisation is a vital problem in a multitude of research fields, such as navigation, tracking, sensor networks and so on. In previous work, the problem is considered in the plane or in three-dimensional space. This work deals with the problem of distance-based localisation on the surface of the earth when the points lie in a two-dimensional manifold. The challenge lies with finding an appropriate technique to cope with noisy measurements when the conventional formulation for a planar model cannot be used. To this end, we adopt a tool recently applied to the planar model, the Cayley-Menger matrix. Simulation results show that the proposed method is effective and robust to noise. We also quantify the effect of a planar approximation.

]]> 10.1504/IJIDSS.2011.044805 International Journal of Intelligent Defence Support Systems, Vol. 4, No. 4 (2011) pp. 328 - 350 Changbin Yu; Baoqi Huang; Hongyi Chee; Brian D.O. Anderson The Australian National University, Canberra ACT 2600, Australia. ' The Australian National University, Canberra ACT 2600, Australia; National ICT Australia Ltd., Tower A, London Circuit, Canberra ACT 2601, Australia. ' University of New South Wales, Sydney, NSW, 2052, Australia. ' The Australian National University, Canberra ACT 2600, Australia; National ICT Australia Ltd., Tower A, London Circuit, Canberra ACT 2601, Australia; Research School of Information Sciences and Engineering, Australian National University, Building 115, Canberra, ACT 0200, Australia target tracking distance-based localisation optimisation distance geometry sensor networks planar approximation noisy measurements planar models Cayley-Menger matrix simulation. 2012-01-09T23:20:50-05:00 4 4 328 350 2012-01-09T23:20:50-05:00 http://www.inderscience.com/link.php?id=44806 This paper presents a two-camera-based vision system for image feature selection, tracking of the selected features and the calculation of 3D distance of the selected features. The feature tracking approach is based on minimisation of the sum of squared intensity differences between the past and the current window, which determines whether a current window is a warped version of the past window. The 3D positions of these features can be calculated on the basis of the known image coordinates of the same point/window in the left and right camera images. The distance calculation is carried out by employing 'midpoint of closest approach'. The vision system with the controlling architecture is implemented with the KOALA mobile robot. The system has been tested for real life environment in our laboratory and the experiments showed that the system can reliably detect features and track in subsequent frames and the 3D distances calculated for tracked features showed satisfactory accuracy. A two-camera-based vision system for image feature identification, feature tracking and distance measurement by a mobile robot
Avishek Chatterjee; N. Nirmal Singh; Olive Ray; Amitava Chatterjee; Anjan Rakshit
International Journal of Intelligent Defence Support Systems, Vol. 4, No. 4 (2011) pp. 351 - 367
This paper presents a two-camera-based vision system for image feature selection, tracking of the selected features and the calculation of 3D distance of the selected features. The feature tracking approach is based on minimisation of the sum of squared intensity differences between the past and the current window, which determines whether a current window is a warped version of the past window. The 3D positions of these features can be calculated on the basis of the known image coordinates of the same point/window in the left and right camera images. The distance calculation is carried out by employing 'midpoint of closest approach'. The vision system with the controlling architecture is implemented with the KOALA mobile robot. The system has been tested for real life environment in our laboratory and the experiments showed that the system can reliably detect features and track in subsequent frames and the 3D distances calculated for tracked features showed satisfactory accuracy.

]]> 10.1504/IJIDSS.2011.044806 International Journal of Intelligent Defence Support Systems, Vol. 4, No. 4 (2011) pp. 351 - 367 Avishek Chatterjee; N. Nirmal Singh; Olive Ray; Amitava Chatterjee; Anjan Rakshit Department of Electrical Engineering, Jadavpur University, Kolkata, PIN-700032, India. ' Department of Electrical Engineering, Jadavpur University, Kolkata, PIN-700032, India. ' Department of Electrical Engineering, Jadavpur University, Kolkata, PIN-700032, India. ' Department of Electrical Engineering, Jadavpur University, Kolkata, PIN-700032, India. ' Department of Electrical Engineering, Jadavpur University, Kolkata, PIN-700032, India computer vision mobile robots robot vision image features feature identification feature tracking distance measurement. 2012-01-09T23:20:50-05:00 4 4 351 367 2012-01-09T23:20:50-05:00 http://www.inderscience.com/link.php?id=44807 This paper illustrates use of the Universal Core messaging framework to enable request and return of large environmental data files, specifically meteorological and oceanographic (MetOc) data. The utility of the approach is described by experiments conducted during the Trident Warrior 2010 Naval exercise. We next overview development of a web services broker system for MetOc data. The implementation of this broker system incorporates both automated data discovery and retrieval capabilities. An extension of UCore, C2 (Command and Control) Core is described and an evaluation to assess its effectiveness for the MetOc domain is described. Net-centric issues for large scale tactical data
Brian Bourgeois; Roy Ladner; Frederick E. Petry
International Journal of Intelligent Defence Support Systems, Vol. 4, No. 4 (2011) pp. 368 - 388
This paper illustrates use of the Universal Core messaging framework to enable request and return of large environmental data files, specifically meteorological and oceanographic (MetOc) data. The utility of the approach is described by experiments conducted during the Trident Warrior 2010 Naval exercise. We next overview development of a web services broker system for MetOc data. The implementation of this broker system incorporates both automated data discovery and retrieval capabilities. An extension of UCore, C2 (Command and Control) Core is described and an evaluation to assess its effectiveness for the MetOc domain is described.

]]> 10.1504/IJIDSS.2011.044807 International Journal of Intelligent Defence Support Systems, Vol. 4, No. 4 (2011) pp. 368 - 388 Brian Bourgeois; Roy Ladner; Frederick E. Petry Naval Research Laboratory, Stennis Space Center, MS 39529, USA. ' CNMOC, Stennis Space Center, MS 39529, USA. ' Naval Research Laboratory, Stennis Space Center, MS 39529, USA meteorological data oceanographic data MetOc web services ontology net-centric Universal Core UCore broker systems data discovery data retrieval command and control large scale tactical data. 2012-01-09T23:20:50-05:00 4 4 368 388 2012-01-09T23:20:50-05:00