ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California / The integrated Network-Enhanced Telemetry (iNET) project has developed standards for network-based telemetry systems. While these standards are based largely on the existing body of commercial networking protocols, the Telemetry Network System (TmNS) has more stringent performance requirements in the areas of latency, throughput, operation over constrained links, and quality of service (QoS) than typical networked applications. A variety of initial evaluations were undertaken to exercise the interfaces of the current standards and determine real-world performance. The core end-to-end performance initial evaluations focus collectively on the movement of telemetry data through the TmNS. These initial evaluations addressed two areas: end-to-end data delivery and parametric data extraction. This paper presents the approach taken by these ongoing efforts and provides initial results. The latest results will be presented at ITC 2010.

BACKGROUND:Cryptococcus gattii has been the cause of an ongoing outbreak starting in 1999 on Vancouver Island, British Columbia and spreading to mainland Canada and the US Pacific Northwest. In the course of the outbreak, C. gattii has been identified outside of its previously documented climate, habitat, and host disease. Genotyping of C. gattii is essential to understand the ecological and geographical expansion of this emerging pathogen.METHODS:We developed and validated a mismatch amplification mutation assay (MAMA) real-time PCR panel for genotyping C. gattii molecular types VGI-VGIV and VGII subtypes a,b,c. Subtype assays were designed based on whole-genome sequence of 20 C. gattii strains. Publically available multilocus sequence typing (MLST) data from a study of 202 strains was used for the molecular type (VGI-VGIV) assay design. All assays were validated across DNA from 112 strains of diverse international origin and sample types, including animal, environmental and human.RESULTS:Validation revealed each assay on the panel is 100% sensitive, specific and concordant with MLST. The assay panel can detect down to 0.5 picograms of template DNA.CONCLUSIONS:The (MAMA) real-time PCR panel for C. gattii accurately typed a collection of 112 diverse strains and demonstrated high sensitivity. This is a time and cost efficient method of genotyping C. gattii best suited for application in large-scale epidemiological studies.

International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California / We need to begin to define what the future of point-to-point telemetry will be in the new world of wireless communications, increasing bandwidth requirements, the integration of test and training, and modeling and simulation (M&S) interacting with open air ranges. The Advanced Range Telemetry Program will introduce several new technologies to the telemetry community over the next several years, how will we use and build on them for the future? What kind of architecture will we need to be able to interact with the M&S and Training communities? How do we create that architecture and to what use would it be put by a test program? The answer, we believe, is to build the equivalent of a network in the sky. An extension of the Internet, in simplistic terms. The system under test (SUT), or the systems in training would become nodes of a large interactive network. Instead of the SUT being treated as something outside the sphere of control for the range, the SUTs onboard instrumentation systems would become an integral part of the greater range complex. This paper will address what the architecture of a real-time telemetry network might look like and how it could be implemented within the telemetry community.

International Telemetering Conference Proceedings / October 30-November 02, 1995 / Riviera Hotel, Las Vegas, Nevada / Satellite transmission systems have proven themselves very effective in a variety of applications. One such application is the transmission of telemetry (TM) data and associated information in a near real-time environment. This paper describes the satellite data relay system currently utilized by the Telemetry Data Center at Patuxent River, Maryland and the corresponding remote receiving site, and discusses the performance of this system.

International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California / This paper discusses the use of DSP technology in the embedded real time ingest and pre-processing of weather satellite data. Specifically, case studies are presented in the use of Texas Instrument TMS 320 processors as front-end handlers of GOES MODE AAA and GOES GVAR data formats.

International Telemetering Conference Proceedings / October 21, 2002 / Town & Country Hotel and Conference Center, San Diego, California / Because of an ever-increasing need for performance and high predictability in modern real-time telemetry systems, the Java programming language is typically not considered a viable option for embedded software development. Nevertheless, the Java platform provides many features that can easily be applied to embedded telemetry systems that other development platforms cannot match. But obviously, there are pitfalls to be aware of. This paper will present an alternative solution to address today’s problems in real-time telemetry systems and will cover the following topics: • Java development platforms for the embedded world • Impact on software portability and reusability • Performance and optimization techniques • Direct access to hardware devices • Memory management and garbage collection • Network-centric component-oriented architecture • Real-time examples from past experience • Future developments

International Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, Nevada / A flexible, modular method is needed to connect test range data systems to central real-time computer networks. This is achieved by the development of a real-time, networked, VME-based range interface system. Flexibility is achieved by a modular hardware and software design. The modular hardware consists of standard network interfaces, COTS VME interfaces, and a VME single board computer (with an onboard PCI bus). The modular software is implemented in C++ using the VxWorks real-time operating system. This paper describes the conceptual design and development of the Modular Range Interface (ModRI).

The tabu search particle filter is proposed in this research based on the integration of the modified tabu search metaheuristic optimization and the genetic particle filter. Experiments with this algorithm in real time human tracking applications in unconstrained environments show that it is more robust, accurate and faster than a number of other existing metaheuristic filters, including the evolution particle filter, particle swarm filter, simulated annealing filter, path relink filter and scatter search filter. Quantitative evaluation illustrates that even with only ten particles in the system, the proposed tabu search particle filter has a success rate of 93.85% whereas the success rate of other metaheuristic filters ranged from 68.46% to 17.69% under the same conditions. The accuracy of the proposed algorithm (with ten particles in the tracking system) is 2.69 pixels on average, which is over 3.85 times better than the second best metaheuristic filters in accuracy and 18.13 times better than the average accuracy of all other filters. The proposed algorithm is also the fastest among all metaheuristic filters that have been tested. It achieves approximately 50 frames per second, which is 1.5 times faster than the second fastest algorithm and nineteen times faster than the average speed of all other metaheuristic filters. Furthermore, a unique colour sequence model is developed in this research based on a degenerated form of the hidden Markov model. Quantitative evaluations based on rigid object matching experiments illustrate that the successful matching rate is 5.73 times better than the widely used colour histogram. In terms of speed, the proposed algorithm achieves twice the successful matching rate in about three quarters of the processing time consumed by the colour histogram model. Overall, these results suggest that the two proposed algorithms would be useful in many applications due to their efficiently, accuracy and ability to robustly track people and coloured objects.

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