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Wednesday, 28 July 2010

 

Room: Lomond Suite

09:00 Plenary session:

Uncertainty Forum

Forum Organisers
Simon Maskell, QinetiQ, UK
John Lavery, Army Research Office, USA

Forum Speakers
Simon Godsill, Cambridge University, UK
Arnaud Martin, Ensieta, France
Jean Dézert, ONERA, France
Peter Gill, Liverpool University, UK
David Mercier, University of Artois, France

 

Room: Tinto

Particle filters I

 Chair: Neil Gordon, Defence Science and Technology Organisation, Australia

 

We1.1.1 10:30-10:50

Particle filter based entropy

Y Boers, H Driessen, Thales Nederland B.V., Netherlands, A Bagchi, P Mandal, University of Twente, Netherlands

 

We1.1.2 10:50-11:10

A new algorithm for outlier rejection in particle filters

R Kumar, D Castanon, E Ermis, V Saligrarna, Boston University, USA

 

We1.1.3 11:10-11:30

Web application for time-series analysis based on particle filter available on cloud computing system

H Nagao, T Higuchi, The Institute of Statistical Mathematics, Japan

 

We1.1.4 11:30-11:50

Marginalized particle filters for Bayesian estimation of Gaussian noise parameters

S Saha, E Özkan, F Gustafsson, Linköping University, Sweden
V Smidl, Institute of Information Theory and Automation, Czech Republic

 

We1.1.5 11:50-12:10

Implementation of sequential importance sampling in GPGPU

K Hayashi, M Saito, R Yoshida, T Higuchi, The Institute of Statistical Mathematics, Japan

 

Moorfoot

Multi-model / multi-hypothesis tracking

 Chair: Roy Streit, Metron Inc., USA

 

We1.2.1 10:30-10:50

Cross-entropy method for K-best dependent-target data association hypothesis selection

S Mori, C Chong, BAE Systems, USA

 

We1.2.2 10:50-11:10

State estimation in hybrid systems with a bounded number of mode transitions

D Sigalov, Y Oshman, Technion - Israel Institute of Technology, Israel

 

We1.2.3 11:10-11:30

Hybrid grid multiple-model estimation with application to maneuvering target tracking

L Xu, Xian Jiaotong University, China, X R Li, University of New Orleans, USA

 

We1.2.4 11:30-11:50

A novel interacting multiple model method for nonlinear target tracking

S A Gadsden, S R Habibi, T Kirubarajan, McMaster University, Canada

 

 

Room: Kilsyth

Applications IV (navigation)

 Chair: Fredrik Gustafsson, Linköping University, Sweden

 

We1.3.1 10:30-10:50

Information fusion applied to the tracking of GPS pilot and data channels

M Azmani, S Reboul, J B Choquel, M Benjelloun, University Lille Nord de France, France

 

We1.3.2 10:50-11:10

Low-cost INS/GPS with nonlinear filtering methods

J Zhou, E Edwan, O Loffeld, University of Siegen, Germany, S Knedlik, iMAR GmbH, Germany

 

We1.3.3 11:10-11:30

Probabilistic stand still detection using foot mounted IMU

J Callmer, D Törnqvist, F Gustafsson, Linköping University, Sweden

 

We1.3.4 11:30-11:50

A hidden Markov model for urban navigation based on fingerprinting and pedestrian dead reckoning

J Seitz, J Thielecke, University of Erlangen-Nuremberg, Germany
T Vaupel, J Jahn, S Meyer, J Gutiérrez Boronat, Fraunhofer Institute for Integrated Circuits IIS, Germany

 

 

Room: Harris 1 & 2

Allocation and resource management

 Chair: Subrata Das, Xerox, France

 

We1.4.1 10:30-10:50

Real-time allocation of defensive resources to rockets, artillery, and mortars

F Johansson, G Falkman, University of Skövde, Sweden

 

We1.4.2 10:50-11:10

Sensor scheduling via compressed sensing

A Carmi, Technion - Israel Institute of Technology, Israel

 

We1.4.3 11:10-11:30

Multi-step sensor management for localizing movable sources of spatially distributed phenomena

A Kuwertz, M F Huber, Karlsruhe Institute of Technology (KIT), Germany/ Fraunhofer Institute of Optronics, Germany
F Sawo, Fraunhofer Institute of Optronics, Germany

 

We1.4.4 11:30-11:50

Comparison of the PMHT path planning algorithm with the genetic algorithm for multiple platforms

B Cheung, Defence Science and Technology Organisation, Australia /The University of Adelaide, Australia
S Davey, Defence Science and Technology Organisation, Australia, D Gray,The University of Adelaide, Australia

 

We1.4.5 11:50-12:10

Information acquisition strategies for Bayesian network-based decision support

R Johansson, University of Skövde, Sweden / Swedish Defence Research Agency, Sweden
C Mårtenson, Swedish Defence Research Agency, Sweden

 

 

Room: Carrick 1 & 2

Networks: Distributed fusion

Chair: Mila Mihaylova, Lancaster University, UK

 

We1.5.1 10:30-10:50

Decentralised data fusion in 2-tree sensor networks

P R Thompson, H Durrant-Whyte, The University of Sydney, Australia

 

We1.5.2 10:50-11:10

System bounds for multisensor fusion with intermittent observations

R Distel, University of Melbourne, Australia

 

We1.5.3 11:10-11:30

An explanation for the efficiency of scale invariant dynamics of information fusion in large teams

R Glinton, P Scerri, K Sycara, Carnegie Mellon University, USA

 

We1.5.4 11:30-11:50

Decentralized scheduling of sensor network for parameter estimation of distributed systems

M Patan, University of Zielona Gora, Poland

 

We1.5.5 11:50-12:10

Quantization for distributed testing of independence

M Chen, W Liu, B Chen, Syracuse University, USA, J Matyjas, Air Force Research Laboratory, USA

 

 

Room: Carrick 3

Hybrid techniques for robust data fusion

Chair: Jesús García, Universidad Carlos III de Madrid, Spain

 

We1.6.1 10:30-10:50

Wireless sensor networks for data acquisition and information fusion: a case study

D I Tapia, S Rodriguez, J Bajo, J M Corchado, University of Salamanca, Spain, O Garcia, University of Valladolid, Spain

 

We1.6.2 10:50-11:10

A multi-logic framework for multi-level fusion in real time data fusion applications

J Carvalho, P Rangel, N Ebeken, Federal University of Rio de Janeiro, Brazil

 

We1.6.3 11:10-11:30

Robust sensor fusion in real maritime surveillance scenarios

J García, J Guerrero, A Luis, J Molina, University Carlos III de Madrid, Spain

 

We1.6.4 11:30-11:50

Fusion scheme for pedestrian safety in urban roads

F Garcia, D Olmeda, A de la Escalera, J M Armingol, University Carlos III de Madrid, Spain

 

We1.6.5 11:50-12:10

Scalable inference for hybrid Bayesian networks with full density estimations

W Sun, K C Chang, K Laskey, George Mason University, USA

 

 

Room: Ochill 1 & 2

Derivative free methods I

Chair: Ondřej Straka, University of West Bohemia, Czech Republic

 

We1.7.1 10:30-10:50

A novel filtering approach for the general contact lens problem with range rate measurements

X Tian, G Chen, DCM Research Resources LLC, USA, Y Bar Shalom, University of Connecticut, USA
E Blasch, AFRL - Sensors Dir, USA, K Pham, AFRL - Space Vehicles Dir, USA

 

We1.7.2 10:50-11:10

Derivative free Kalman filtering used for orchard navigation

S Hansen, E Bayramoglu, J C Andersen, O Ravn, N A Andersen, N K Poulsen
The Technical University of Denmark, Denmark

 

We1.7.3 11:10-11:30

Adaptive choice of scaling parameter in derivative-free local filters

J Dunik, M Simandl, O Straka, University of West Bohemia, Czech Republic

 

We1.7.4 11:30-11:50

Mobile tracking and parameter learning in unknown non-line-of-sight conditions

C Liang, R Piche, Tampere University of Technology, Finland

 

 

Room: Ochill 3

Data mining and decision analysis

Chair: Johan Schubert, Swedish Defence Research Agency, Sweden

 

We1.8.1 10:30-10:50

α-discounting method for multi-criteria decision making (α-D MCDM)

F Smarandache, University of New Mexico, USA

 

We1.8.2 10:50-11:10

Reduction in decision table based on pair-wise complementarity of condition attributes

X Wang, C Han, D Han, Xi'an Jiaotong University, China

 

We1.8.3 11:10-11:30

Clustering of multistage cyber attacks using significant services

C Murphy, S J Yang, Rochester Institute of Technology, USA

 

We1.8.4 11:30-11:50

Constrained multi-object Markov decision scheduling with application to radar resource management

M Rezaeian, B Moran, University of Melbourne, Australia

 

We1.8.5 11:50-12:10

Sequential decision fusion for controlled detection errors

V P Nallagatla, V Chandran, Queensland University of Technology, Australia

 

 

Room: Tinto

Particle Filters II

Chair: Yvo Boers, Thales Nederland B.V., Netherlands

 

We2.1.1 13:10-13:30

A dynamic grouping strategy for implementation of the particle filter on a massively parallel computer

S Nakano, T Higuchi, The Institute of Statistical Mathematics, Japan

 

We2.1.2 13:30-13:50

An insight into the issue of dimensionality in particle filtering

P Bui Quang, C Musso, ONERA, France, F Le Gland, INRIA, France

 

We2.1.3 13:50-14:10

Comparison between GMM and KDE data fusion methods for particle filtering: application to pedestrian detection from laser and video measurements

S Gidel, C Blanc, T Chateau, P Checchin, L Trassoudaine, LASMEA, France

 

We2.1.4 14:10-14:30

Particle filtering with dependent noise

F Gustafsson, S Saha, Linköping University, Sweden

 

We2.1.5 14:30-14:50

Process noise identification based particle filter: an efficient method to track highly maneuvering target

J Liu, C Z Han, Xi'an Jiaotong University, China, P Vadakkepat, National University of Singapore, Singapore

 

 

Room: Moorfoot

Performance evaluation I (multiple target tracking)

Chair: Yaakov Bar-Shalom, University of Connecticut, USA

We2.2.1 13:10-13:30

Performance evaluation of multiple target tracking in the absence of reference data

R Schubert, H Klöden, G Wanielik, Chemnitz University of Technology, Germany
S Kälberer, Magna Electronics Europe, Germany

 

We2.2.2 13:30-13:50

Performance evaluation of multi-target tracking using the OSPA metric

B Ristic, DSTO, Australia , B N Vo, The University of Western Australia , Australia, D Clark, Heriot-Watt University, UK

 

We2.2.3 13:50-14:10

Shooting two birds with two bullets: how to find minimum mean OSPA estimates

M Guerriero, Research & Advanced SystemElettronica S.p.A,. Italy
L Svensson, D Svensson, Chalmers University of Technology, Sweden, P Willett, University of Connecticut, USA

 

We2.2.4 14:10-14:30

Design of operation parameters to resolve two targets using proximity

Q Le, Hampton University, USA , L Kaplan, US Army Research Laboratory, USA

 

We2.2.5 14:30-14:50

Comparison of fusion methods for multiple target tracking

M Morelande, The University of Melbourne, Australia, N Gordon, Defence Science and Technology Organisation, Australia

 

 

Room: Kilsyth

Applications V (multilateration & ground moving target indication tracking)

Chair: Mahendra Mallick, Georgia Institute of Technology, USA

 

We2.3.1 13:10-13:30

Efficient multilateration tracking with concurrent offset estimation using stochastic filtering techniques

P Dunau, F Packi, F Beutler, U D Hanebeck, Karlsruhe Institute of Technology (KIT), Germany

 

We2.3.2 13:30-13:50

A two-step approach for offset and position estimation from pseudo-ranges applied to multilateration tracking

F Beutler, U D Hanebeck, Karlsruhe Institute of Technology (KIT), Germany

 

We2.3.3 13:50-14:10

Integrated GMTI radar and report tracking for ground surveillance

H K Chan, H B Lee, X H Xiao, DSO National Laboratories, Singapore, M Ulmke, Fraunhofer FKIE, Germany

 

We2.3.4 14:10-14:30

GMTI tracking using signal strength information

M Mertens, M Ulmke, Fraunhofer FKIE, Germany

 

We2.3.5 14:30-14:50

A simulation framework for testing GMTI trackers

G Schueller, M Mertens, Fraunhofer FKIE, Germany

 

 

Room: Harris 1 & 2

Defence / Intelligence applications I

Chair: John Anderson, BAE Systems, UK

 

We2.4.1 13:10-13:30

Information fusion supporting team situation awareness for future fighting aircraft

T Erlandsson, Saab AB, Sweden, T Helldin, G Falkman, L Niklasson, University of Skövde, Sweden

 

We2.4.2 13:30-13:50

Estimating network parameters for selecting community detection algorithms

L Peel, BAE Systems, UK

 

We2.4.3 13:50-14:10

Information provision for the dismounted close combat soldier

S Green, R Watkin, Roke Manor Research, UK

 

We2.4.4 14:10-14:30

SWARD: system for weapon allocation research and development

F Johansson, G Falkman, University of Skövde, Sweden

 

 

Room: Carrick 1 & 2

Networks: Theory / Management I

Chair: Jason Ralph, The University of Liverpool, UK

 

We2.5.1 13:10-13:30

Sensor network performance evaluation in statistical manifolds

Y Cheng, National University of Defence Technology, China, X Wang, B Moran, The University of Melbourne, Australia

 

We2.5.2 13:30-13:50

Ziv-Zakai bound for rate-constrained time-delay estimation in a wireless sensor network

S Srinivasan, Philips Research Laboratories, Netherlands

 

We2.5.3 13:50-14:10

Consensus based distributed change detection algorithms

M Stanković, N Ilić, University of Belgrade, Serbia, S Stanković, Royal Institute of Technology, Sweden

 

We2.5.4 14:10-14:30

Asynchronous distributed particle filter via decentralized evaluation of Gaussian products

B N Oreshkin, M J Coates, McGill University, Canada

 

We2.5.5 14:30-14:50

Energy-efficient cooperative communication in clustered wireless sensor networks

R Aminzadeh, F Kashefi, Khavaran Higher Education Institute, Islamic Republic of Iran

 

 

Room: Carrick 3

Advances and applications of DSmT for information Fusion

Chair: Jean Dezert, ONERA, France

 

We2.6.1 13:10-13:30

Fusion of sources of evidence with different importances and reliabilities

F Smarandache, University of New Mexico, USA , J Dezert, ONERA, France, J M Tacnet, CEMAGREF, France

 

We2.6.2 13:30-13:50

Union/intersection vs. alternative/conjunction - defining posterior hypotheses in C2 systems

K Krenc, R&D Marine Technology Centre, Poland , A Kawalec, WAT Military University of Technology, Poland

 

We2.6.3 13:50-14:10

A PCR BIMM filter for maneuvering target tracking

J Dezert, B Pannetier, ONERA, France

 

We2.6.4 14:10-14:30

Implementation of approximations of belief functions for fusion of ESM reports within the DSm framework

P Djiknavorian, D Grenier, University Laval, Canada, P Valin, Defence R&D Canada- Valcartier, Canada

 

 

Room: Ochill 1 & 2

Derivative free methods II

Chair: Ondřej Straka, University of West Bohemia, Czech Republic

 

We2.7.1 13:10-13:30

Multisensor constrained estimation with unscented transformation

J Ajgl, M Šimandl, University of West Bohemia, Czech Republic

 

We2.7.2 13:30-13:50

Nonlinear estimation framework in target tracking

O Straka, M Flidr, J Dunik, M Simandl, University of West Bohemia,Czech Republic
E Blach, Defence R&D Canada - Valcartier, Canada

 

We2.7.3 13:50-14:10

Derivative free filtering using Kalmtool

E Bayramoglu, S Hansen, O Ravn, The Technical University of Denmark, Denmark
N K Poulsen, DTU Informatics, Denmark

 

We2.7.4 14:10-14:30

Software analysis unifying particle filtering and marginalized particle filtering

V Smidl, Institute of Information Theory and Automation, Czech Republic

 

 

Room: Ochill 3

Multidisciplinary research in hard and soft information fusion I

Chair: David Hall, The Pennsylvania State University, USA

 

We2.8.1 13:10-13:30

Data association and soft data streams

M Hannigan, D McMaster, J Llinas, State University of New York at Buffalo, USA, K Sambhoos, CUBRC, USA

 

We2.8.2 13:30-13:50

Test and evaluation of soft/hard information fusion systems: a test environment, methodology and initial data sets

D Hall, J Graham, L More, J Rimland, The Pennsylvania State University, USA

 

We2.8.3 13:50-14:10

Ontology alignment in geographical hard-soft information fusion systems

E Blasch, E Dorion, P Valin, E Bosse, J Roy, Defence R&D Canada-Valcartier, Canada

 

We2.8.4 14:10:14:30

Soft information, dirty graphs and uncertainty representation/processing for situation understanding

G Gross, R Nagi, State University of New York at Buffalo, USA, K Sambhoos, CUBRC, USA

 

We2.8.5 14:30-14:50

A multi-disciplinary university research initiative in hard and soft information fusion: overview, research strategies and initial results

J Llinas, R Nagi, State University of New York at Buffalo, USA, D Hall, Pennsylvania State University, USA
J Lavery, Army Research Office, USA

 

 

Room: Tinto

Nonlinear estimation

Chair: Peter Willett, University of Connecticut , USA

 

We3.1.1 15:20-15:40

Connection between differential geometry and estimation theory for polynomial nonlinearity in 2D

M Mallick, Georgia Institute of Technology, USA, Y Yan, Syracuse University, USA
S Arulampalam, Defence Science & Technology Organisation, Australia, A Mallick, University of California, USA

 

We3.1.2 15:40-16:00

Mixture of uniform probability density functions for non linear state estimation using interval analysis

A Gning, L Mihaylova, Lancaster University, UK, F Abdallah, Université de Technologie de Compiegne, France

 

We3.1.3 16:00-16:20

Density trees for efficient nonlinear state estimation

H Eberhardt, V Klumpp, U D Hanebeck, Karlsruhe Institute of Technology (KIT), Germany

 

We3.1.4 16:20-16:40

State estimation with point and set measurements

Z Duan, X R Li, V P Jilkov, The University of New Orleans, USA

 

We3.1.5 16:40-17:00

Support-vector conditional density estimation for nonlinear filtering

P Krauthausen, U D Hanebeck, Karlsruhe Institute of Technology (KIT), Germany
M F Huber, Fraunhofer Institute of Optronics, Germany

 

We3.1.6 17:00-17:20

Tracking an accelerated target with a nonlinear constant heading model

R Yang, G W Ng, DSO National Laboratories, Singapore, B P Ng, Nanyang Technological University, Singapore

 

 

Room: Moorfoot

Performance evaluation II (fusion)

Chair: Mark Silbert, NAVAIR, USA

 

We3.2.1 15:20-15:40

Fusion performance analysis with the correlation

X Yuan, C Han, F Lian, Xi'an Jiaotong University, China

 

We3.2.2 15:40-16:00

Fusion-based recommender system

K Zhang, H Li, Motorola Inc., USA

 

We3.2.3 16:00-16:20

Simulating fusion algorithms with gaming platforms

L Lewis, Altusys Corp, USA, C Wright, N DiStasio, Southern New Hampshire University, USA

 

We3.2.4 16:20-16:40

Assessment of data fusion systems Part 2: sensor network architectures

C H Tan, H Chen, G W Ng, DSO National Laboratories, Singapore

 

We3.2.5 16:40-17:00

Aggregation evaluation of a fusion system devoted to image interpretation

A Lamallem, D Coquin, L Valet, LISTIC, France

 

 

Room: Kilsyth

Image detection and tracking

Chair: Neil Robertson, Heriot-Watt University, UK

 

We3.3.1 15:20-15:40

The cramer-rao lower bound for 3-D state estimation from rectified stereo cameras

D Clark, Heriot-Watt University, UK, S Ivekovic, Royal Society of Edinburgh, UK

 

We3.3.2 15:40-16:00

Combined spatial and transform domain analysis for rectangle detection

H Bhaskar, N Werghi, S Al Mansoori, Khalifa University of Science, United Arab Emirates

 

We3.3.3 16:00-16:20

Improving super-resolution image reconstruction by in-plane camera rotation

S Bonchev, Sofia University, Bulgaria, K Alexiev, Bulgarian Academy of Sciences, Bulgaria

 

We3.3.4 16:20-16:40

An iterative possibilistic image segmentation system: application to breast cancer detection

W Eziddin, J Montagner, B Solaiman, Telecom Bretagne, France

 

We3.3.5 16:40-17:00

Combined feature-level video indexing using block-based motion estimation

H Bhaskar, Khalifa University of Science, United Arab Emirates, L Mihaylova, Lancaster University, UK


Room: Harris 1 & 2

Belief functions II

Chair: David Marshall, Cardiff University, UK

 

We3.4.1 15:20-15:40

Multi-level subjective effects-based assessment

J Schubert, Swedish Defence Research Agency, Sweden

 

We3.4.2 15:40-16:00

Research and realization of sensor fault-tolerance of fusion diagnosis system using evidence redistribution

Y Wang, H Kuang, University of Science and Technology of China, China
W Liang, J Zhou, University of Science and Technology of China/Beijing Aerospace Control Center, China

 

We3.4.3 16:00-16:20

Behavior modeling with probabilistic context free grammars

S C Geyik, J Xie, B K Szymanski, Rensselaer Polytechnic Institute, USA

 

We3.4.4 16:20-16:40

Fusion of soft information using TBM

D Stampouli, M Brown, G Powell, EADS, UK

 

We3.4.5 16:40-17:00

The base rate fallacy in belief reasoning

A Jøsang, University of Oslo, Norway, S O'Hara, 21CSI, USA

 

 

Room: Carrick 3

Analysis and prediction of human behaviour by sensor networks

Chair: Dr Jörgen Ahlberg, Swedish Defence Research Agency, Sweden

 

We3.6.1 15:20-15:40

Fusion of acoustic and optical sensor data for automatic fight detection in urban environments

M Andersson, J Rydell, J Ahlberg, Swedish Defence Research Agency, Sweden
S Ntalampiras, T Ganchev, N Fakotakis, University of Patras, Greece

 

We3.6.2 15:40-16:00

Crowd behavior analysis under cameras network fusion using probabilistic methods

P Drews Jr, J Quintas, J Dias, University of Coimbra, Portugal
M Andersson, J Nygards, J Rydell, Swedish Defence Research Agency, Sweden

 

We3.6.3 16:00-16:20

Probabilistic LMA-based classification of human behaviour understanding using power spectrum technique

K Khoshhal, H Aliakbarpour, J Quintas, P Drews, J Dias, University of Coimbra, Portugal

 

We3.6.4 16:20-16:40

Depth gradient based segmentation of overlapping foreground objects in range images

A Störmer, Bertrandt Ingenieurbüro GmbH, Germany, M Hofmann, G Rigoll, Technische Universität München, Germany

 

We3.6.5 16:40-17:00

Human silhouette volume reconstruction using a gravity-based virtual camera network

H Aliakbarpour, J Dias, University of Coimbra, Portugal

 

We3.6.6 17:00-17:20

A generative model for 3D range sensors in the Bayesian occupancy filter framework: application for fusion in smart home monitoring

J Ros, K Mekhnacha, Probayes SAS, France


Room: Ochill 1 & 2

Search planning and operations

Chair: Lawrence D Stone, Metron Inc., USA

 

We3.7.1 15:20-15:40

Revisiting the SS Central America search

L D Stone, Metron Inc., USA

 

We3.7.2 15:40-16:00

Towards a knowledge-based system prototype for aeronautical search and rescue operations

I Abi-Zeid, O Nilo, S Schvartz, M Morin, Université Laval, Canada

 

We3.7.3 16:00-16:20

Applying optimal search theory to inland SAR:  Steve Fossett case study

C M Keller, Metron Inc., USA

 

We3.7.4 16:20-16:40

A structured approach to acquiring search planning data

J Strumpfer, Partners for Change, South Africa

 

We3.7.5 16:40-17:00

Search and rescue optimal planning system

T M Kratzke, L D Stone, Metron, Inc., USA, J R Frost , U.S. Coast Guard, USA

 

We3.7.6 17:00-17:20

Information fusion based on graph analysis during urban search and rescue

Q Hamp, L Reindl, IMTEK, Albert-Ludwigs-University, Germany , M Eitelberg, Evision, Germany
B S Lee, T Becker, University of Paderborn, Germany
D Wiebeck, Federal Agency for Technical Relief (THW), OV Breisach, Germany

 

 

Room: Ochill 3

Multidisciplinary research in hard and soft information fusion II

Chair: Erik Blasch, Defence R&D Canada-Valcartier, Canada

 

We3.8.1 15:20-17:00

High level information fusion developments, issues and grand challenges

E Blasch, P Valin, Defence R&D Canada – Valcartier, Canada, J Llinas, SUNY-Buffalo, USA
D Lambert, Defence, Science & Tech. Org, Australia, S Das, Xerox, France, C Chong, BAE Systems, USA
M Kokar, Northeastern University, USA, E Shahbazian, OODA Technologies, Canada

  

Coding for parallel sessions
Each session is indicated by two letters and two digits, e.g. Tu2.1
Each paper has a programme number indicated by two letters and three digits, e.g. Tu2.1.3
The two letters represent the abbreviation of the week day in which the session takes place: Tu = Tuesday, We = Wednesday, Th = Thursday
The first digit indicates the section of the day of the parallel session: 1 = first parallel session of the day (after the morning refreshment break), 2 = after lunch, 3 = after the afternoon refreshments  

The second digit indicates the room that the session will take place in:
1 = Tinto (level 0)
2 = Moorfoot (level 0)
3 = Kilsyth (level 0)
4 = Harris 1 & 2 (level 1)
5 = Carrick 1 & 2 (level 1)
6 = Carrick 3 (level 1)
7 = Ochill 1 & 2 (level 1)
8 = Ochill 3 (level 1)