White papers, articles & publications

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White Paper: Total Maritime Domain Awareness

Abstract: Maritime domain awareness deals with the situational understanding of maritime activities that could impact the security, safety, economy or environment. It enables quick threat identification, informed decision making, effective action support, knowledge sharing and more accurate situational awareness. Persistent surveillance involves multiple systems corroborating in order to detect, classify, identify, track and assess situations within an area of interest. In this white paper, we concentrate on the challenges presented in applying the concepts of information fusion to the problem of maritime domain awareness, and how we plan to resolve them. We first introduce the conventional techniques and their drawbacks, discuss the contemporary data ecosystem and briefly present a potential solution which learns to closely match the dynamic internal structures present in the data. This solution, developed and patented by Larus Technologies, performs behavior analysis through predictive modeling, is capable of dealing with heterogeneous (i.e. multi-source, multi-sensor) data, is mostly automated yet human-centric and resolves the challenges presented by maritime domain awareness.

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White Paper: 21st Century Territorial Security: A Sensor Networking Approach

Abstract: Territorial security deals with the prevention, detection, and response to unauthorized persons and/or goods from crossing a perimeter. It deals with large territories of strategic importance, such as international borders, transportation and critical infrastructure. Sensor networks are novel data routing and processing structures that enable data-centric applications, such as the continuous monitoring of an elderly person’s health. In this white paper, we concentrate on the challenges presented in applying the concepts of sensor networking and data fusion to the problem of territorial security, and how we plan to resolve them. We first introduce the conventional techniques and their drawbacks, then briefly present our solution and the steps involved in its development.

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White Paper: Personnel Detection Technology

Abstract: Personnel detection deals with the prevention, detection and response to unauthorized persons from crossing an established perimeter. It is required in a variety of military and civilian situations. In this white paper, we present the drawbacks of the current technology-based solutions and how we plan to alleviate them. A replacement technology is introduced to the current trip wire-based techniques while a system-of-systems solution is presented to the larger problem of Territorial Security.

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White Paper: Making Sense of Sensor Networks

Abstract: Sensor networks are novel data routing and processing structures that allow for the emergence of data-centric applications, such as the controlled irrigation of agricultural fields and the continuous monitoring of an elderly person’s health. Numerous challenges exist including sensor coverage, power consumption, interoperability, security, integrated display and user bandwidth. In this white paper, we concentrate on the challenges presented in trying to make sense of the collected data. We first introduce the conventional techniques emphasizing the prominent ones: neural networks, Bayesian networks, Kalman filters and Dempster-Shafer methods. We then briefly present our solution, and the steps involved in its development.

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Septermber 1, 2013
Dr. Rami Abielmona, VP Research and Engineering of Larus Technologies, discusses how high-level information fusion and computational intelligence will help maritime operators and decision makers expedite the detection of various threats and anomalies in littoral and bluewater regions. Read Tackling Big Data in Maritime Domain Awareness

July 16, 2012
Dr. Rami Abielmona, VP Research and Engineering of Larus Technologies, discusses the state of data fusion solutions in our capital in an Ottawa Business Journal (OBJ) article that highlights the need to refine information from multiple sources in order to provide a clearer operational picture. Read Defence and Security: Fusing Together a New Defence Sector

March/April 2011
The Thinking Highways Magazine (North American Edition) publishes an article, authored by Lee J. Nelson, in its latest issue entitled “An overwhelming sense of security.” The article discusses resolving territorial security problems through the use of sensor networking and data fusion while focusing on leading-edge efforts to surmount real-time challenges. Larus Total::Insight™ for Territorial Security is described in the article, along with other state-of-the-art products, as solutions that proffer flexibility in data acquisition and deployment while promising to ease operator overload, ensure interoperability and promote a unique data-sharing paradigm.

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Here is a sample of publications by employees of Larus Technologies.

  • R. Abielmona, R. Falcon, P.W. Vachon and V.Z. Groza “Vessel Tracking and Anomaly Detection using level 0/1 and High-level Information Fusion Techniques,” 6th International workshop on Soft Computing Applications (SOFA), Timisoara Romania, July 24-26, 2014.
  • J. McCausland, R. Abielmona, R. Falcon, A-M. Cretu and E. M. Petriu “On the Role of Multi-Objective Optimization in Risk Mitigation for Critical Infrastructures with Robotic Sensor Networks,” 2014 Genetic and Evolutionary Computation Conference (GECCO), Vancouver, Canada, July 12-16, 2014
  • R. Falcon, R. Abielmona and E. Blasch “Behavioral Learning of Vessel Types with Fuzzy-Rough Decision Trees,” 17th International Conference on Information Fusion (FUSION), Salamanca, Spain, July 7-10, 2014
  • H. Shao, R. Abielmona, R. Falcon and N. Japkowicz “Vessel Track Correlation and Association using Fuzzy Logic and Echo State Networks,” 2014 IEEE Conference on Evolutionary Computation (CEC), Beijing, China, July 6-11, 2014
  • A-H. Razavi, D. Inkpen, R. Falcon and R. Abielmona “Textual Risk Mining for Maritime Situational Awareness,” 2014 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), San Antonio, USA, March 3-6, 2014
  • J. McCausland, G. DiNardo, R. Falcon, R. Abielmona, V. Groza and E. Petriu “A Proactive Risk-Aware Robotic Sensor Network for Critical Infrastructure Protection,” IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications CIVEMSA 2013, Milan, Italy, July 15-17, 2013 (PDF)
  • A. Panchapakesan, R. Abielmona, E. Petriu “Dynamic White-Box Software Testing using a Recursive Hybrid Evolutionary Strategy/Genetic Algorithm,” IEEE Congress on Evolutionary Computation CEC 2013, Cancun, Mexico, 20-23 June, 2013
  • A. Panchapakesan, R. Abielmona, E. Petriu “A Python-Based Design-by-Contract Evolutionary Algorithm Framework with Augmented Diagnostic Capabilities,” IEEE Congress on Evolutionary Computation CEC 2013, Cancun, Mexico, 20-23 June, 2013
  • R. Abielmona and R. Falcon, “Risk Management Framework for Search-and-Rescue Operations“, Second Canadian Tracking and Fusion Group (CTFG) Workshop, Ottawa, September 2012
  • R. Falcon, R. Abielmona and A. Nayak, “An Online Shadowed Clustering Algorithm Applied to Risk Visualization in Territorial Security”, IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA), Ottawa, Canada, July 2012
  • R. Falcon and R. Abielmona, “A Response-Aware Risk Management Framework for Search-and-Rescue Operations”, IEEE Congress on Evolutionary Computation (CEC), Brisbane, Australia, June 2012
  • R. Falcon, R. Abielmona and A. Nayak, “An Evolving Risk Management Framework for Wireless Sensor Networks”, IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA), Ottawa, Canada, pp. 1 – 6, September 2011
  • R. Abielmona, “Intelligent Territorial Security Using Sensor Networking and Data Fusion“, First Canadian Tracking and Fusion Group (CTFG) Workshop, Ottawa, March 2011
  • R. Abielmona, E. M. Petriu, M. Harb, S. Wesolkowski, Mission-Driven Robotic Intelligent Sensor Agents for Territorial Security IEEE Computational Intelligence Magazine, Vol. 6, No. 1, pp. 55-67, 2011, DOI: 10.1109/MCI.2010.939580 (© 2011 IEEE. Reprinted with permission)
  • M. Harb, R. Abielmona and E. Petriu, “Speed Control of a Mobile Robot Using Neural Network and Fuzzy Logic“, International Joint Conference on Neural Networks (IJCNN), Atlanta, June 2009
  • M. Harb, R. Abielmona, E. Petriu, and K. Naji, “Neural Control System of a Mobile Robot“, International Joint Conference on Neural Networks, IEEE World Congress of Computational Intelligence, pp. 2826-2833, Hong Kong, June 2008
  • M. Harb, R. Abielmona, K. Naji, and E. Petriu, “Neural Networks for Environmental Recognition and Navigation of a Mobile Robot“, IEEE 2008 International Instrumentation and Measurement Technology (I2MTC), pp. 1123-1128, Victoria, Canada, May 2008
  • R. Jessami-Zargani, V. Fond, S. Bourdon, & M. Harb, “From Modeling to Utility: End to End Evaluation of ISR Sensor Architectures“, SET-130 Symposium on NATO Military Sensing, Orlando, Florida, US, March 2008
  • R. Abielmona and G. DiNardo, Networking: The growing role for advanced sensors (online version), VANGUARD Magazine, March/April 2007
  • R. Abielmona and V. Groza, “Indoor Sensor Networks: Localization Schemes“, IEEE CCECE 2007, Vancouver, 22-26 April 2007

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any Larus Technologies’ products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by sending email to IEEE. By choosing to view this material, you agree to all provisions of the copyright laws protecting it.

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