Company
Portfolio Data
Back to Company SearchREFERENTIA SYSTEMS INC
UEI: T86MLL6XPM57
Number of Employees: 65
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
SBIR/STTR Involvement
Year of first award: 2004
13
Phase I Awards
7
Phase II Awards
53.85%
Conversion Rate
$1,286,404
Phase I Dollars
$7,619,120
Phase II Dollars
$8,905,524
Total Awarded
Awards
Dynamically Reconfigurable Data Architectures for Aircraft Data Analysis and Anomaly Detection
Amount: $996,136 Topic: N07-084
Phase II.5 proposal, extension of Phase II contract N00014-10-C-0255. Data collection and management of operational aircraft data is a critical enabler of effective condition based maintenance (CBM+). However, the large volumes of data collected create accessibility problems that limit the usefulness of the data. Using a relational database to store time series data results in a solution that is unnecessarily large and slow. Advanced methods of processing large quantities of data are needed to accomplish CBM+.ADAAD is a high performance time series database which allows full resolution data to be kept online and accessible. ADAAD has an intuitive graphical user interface and open architecture programming interfaces, with the ability to handle large volumes of time series data. Customer results have demonstrated a 20 times database size reduction and 200 times increase in query speed when compared with leading databases.
Tagged as:
SBIR
Phase II
2014
DOD
NAVY
LiveMap: A Multi-Domain Network Flow Visualization and Analysis Tool
Amount: $149,968 Topic: 01 b
Networks, such as the Energy Sciences Network (ESnet), are an interconnection of multiple networks in a complex mesh that require continuous real-time monitoring and management. As with any network, issues arise in ESnet that need to be analyzed and resolved in a timely manner. The issues in ESnet are complicated by application paths that cross multiple domains requiring visibility along the path that is administered by different entities and necessitates coordination to resolve issues. Existing tools have issues dealing with cross domain and require an IT expert to use and understand. New tools are needed to help users and operators communicate issues across domains, narrow down the problem to resolution and help with understanding the complex network for capacity planning and operational efficiencies including energy use. Referentia proposes an intelligent network management solution, LiveMap, to meet these needs by applying robust Internet-scale technologies such as BigTable to collect the large amounts of distributed performance data that can be quickly analyzed and efficiently visualized through a single pane-of-glass across multiple domains. LiveMap will incorporate scalable and distributed data gathering and machine-learning-based analysis coupled with a knowledge base built on ontology research done previously by Referentia. The framework will help to understand the real-time behavior of the complex network from the application flow, Quality of Service (QoS) and end-to-end measures from PerfSonar and other Service Level Agreement (SLA) measures to help pinpoint performance issues over multiple domains. The framework will be designed with the appropriate security and cross-domain technology for data gathering that leverages Referentias Department of Defense (DOD) accredited cross-domain expertise. LiveMap research will leverage patent-pending ideas in network visualization and analysis applied with internet-scale data-analysis layer built on PerfSONAR-like multi-domain data service infrastructure. LiveMap will allow operators in multiple domains to trace particular network flows to specific applications across multiple domains. The applications flow will be correlated to performance information per-domain and per-hop characteristics in an interactive network map that operates similarly to how Google Maps operates on geographical information. The intuitive visualization will leverage mental models to help operators quickly understand and resolve issues and also understand the behavior of the complex network for planning purposes. LiveMap will provide a single pane-of-glass interactive view to the network similar to how Google Maps provides for geographic maps with overlays for traffic congestions and can be extended to add other pertinent views. Commercial Applications and Other Benefits: Optimizing the management and performance of network infrastructure to support critical business operations is emerging as a critical need in todays market. The network infrastructure is increasingly more complex to support collaboration, mobility, cloud based application and critical business operations. Increasingly use of transport that goes through public infrastructure or content delivery networks or private VPN services such as MPLS is becoming more common. The dependency on other entities for transport is driving the need for multi-domain monitoring from business to service provider, service provider to their customer and service provider to service provider that provide peering services. For cybersecurity, there are initiatives in DOE and other government agencies to provide coordinated response to cyber events which would benefit from a multi-domain monitoring solution. There is a need for service providers and agencies to be able to investigate large scale cybersecurity events and resolve them collaboratively across entities to protect national, regional and commercial cyber infrastructure and assets.
Tagged as:
SBIR
Phase I
2012
DOE
Personal Situational Awareness APP
Amount: $99,991 Topic: H-SB010.2-009
Mobile information consumption is evolving alongside mobile computing technology. Mobile media monitoring however, and automated intelligent event alerting services have yet to be developed. We propose to research, design, and prototype a mobile application to extract and disseminate events from raw audio feeds based on users' interests and priorities. The solution will leverage an array of existing technologies to prototype a Google Android-based personal situational awareness client leveraging a cloud-based event dissemination system. To this end, we will pursue three technical objectives: the ability to ingest and manage audio data threads from disparate sources, and to extract information from the data streams and generate structured events that can be used by other processes; design and prototype a Droid-based user interface for situational awareness rendering and priorities and interest configuration; assess the capabilities and limitations of the prototype solution and document for future design optimization activities.
Tagged as:
SBIR
Phase I
2010
DHS
Dynamically Reconfigurable Data Architectures for Aircraft Data Analysis and Anomaly Detection
Amount: $443,955 Topic: N07-084
State-of-the-art software tools for the storage, exploration, search, and analysis of large volumes of time series data such as that collected from fleet-wide Aircraft Condition Monitoring Systems (ACMS) are limited. ACMS and maintenance data are not utilized to their full potential to provide for accelerated diagnostic support; acquisition and maintenance of systems engineering knowledge; development of prognostic and diagnostic algorithms; and validation of prognostic and diagnostic algorithms. To address these deficiencies, we will enhance our Time Series: Rapid Exploration (T-REX) software system to provide data management, data visualization, data analysis, and algorithm development and validation for fleet-wide ACMS and maintenance data. The ability to more effectively manage the data, place it in the context of maintenance actions, and analyze the data using engineering analysis tools will enable subject matter experts to gain insight into the health of their aircraft fleet. The T-REX system supports storage and analysis of very large sets of disparate source data. T-REX enables analysts to interactively exploit terabytes of time-synchronized data to identify spatial and temporal relationships among the data sets. Once the relationships have been defined, T-REX validates them and correlates the data with historical information.
Tagged as:
SBIR
Phase II
2010
DOD
NAVY
Quality of Service Traffic Manager
Amount: $723,887 Topic: A08-089
As the Army transitions numerous capabilities into network-accessible services, available bandwidth is emerging as the most prominent bottleneck. There exists a need for a system to manage the various components and devices that make up the network to efficiently and effectively manage the network traffic. QTM research is aimed as providing technology that can benefit the TITAN Network Management (NM) system in dealing with Quality of Service (QoS) in a military TEN setting. The specific portion of the NM is the adaptive middle ware layer that deal with autonomous adaptation of the network communication over a TEN. The key goal of this effort is to develop a network management tool for the United States Army that allows for more dynamic QoS visibility and control on the routers, links, and flows that help automate actions to meet the commander’s intent of tactical communications and interface to the TITAN NM system.
Tagged as:
SBIR
Phase II
2010
DOD
ARMY
Training Aware Common Operational Picture (TACOP)
Amount: $498,743 Topic: N08-T004
The TACOP Phase II effort will research, design, and prototype an instructor / operator-friendly solution for the LVC entity-management problem. The TACOP system will be composed of open source and government software that is compatible with Navy training architectures. The system will focus on entity-management in the Anti-Submarine Warfare (ASW) domain and provide the foundations for extensibility to other LVC domains. The system will be built from a filtering framework, filter controls, and an IOS interaction interface. The filtering framework will provide a place to maintain filtering activities and accept commands from the IOS. It will perform the actual reduction of entities in the data stream going to the simulator. The filter controls will provide algorithms and capabilities to reduce the cognitive and management burden on the instructor/operator. It will make the job of managing thousands of entities possible for a single person. The IOS interaction interface will house the filter controls and present visual information and cues to the instructor/operator. A successful TACOP will improve LVC simulator operations by providing a balance between rich training environments and simulation processing limitations. Operators will have aids and visual cues that make it possible to solve the LVC entity-management problem.
Tagged as:
STTR
Phase II
2010
DOD
NAVY
SAGE: Situational Awareness for the GTWO (Getting the Word Out) Environment)
Amount: $99,996 Topic: OSD07-CR1
New approaches are needed to address situational awareness and analysis in “getting the word out” (GTWO), in support public affairs functions. This proposal initiates R&D to exploit the combination of recent successes of highly-resolved epidemiological simulations and models of group identity and culture – to develop a unique prototype resource for assessing the effectiveness and future of GTWO campaigns. The technical approach is to adpat a mature epi-model to include message passing between individuals associated with identity or cultural groups and predict the degrees of support or opposition by individuals. Uncertainty/sensitivity management and cost-benefit analysis are captured – essential for potential command high-regret decisions. The SAGE resource is a combination of data from obtainable sources, the newly-developed GTWO simulation prototype, and CONOPS. The SAGE resource exploits the observation that the acceptance or rejection of messages are often determined by the association of the message with specific and possibly competing groups, rather than the more complex issue of the content and context of the message. The team includes experts on nationally utilized epi-models and operational cultural identity modeling. The activities also include assessment of development path for deployment in Corps and Theater-level C2 systems.
Tagged as:
SBIR
Phase I
2009
DOD
NAVY
Network Planning and Real-time Automated Management System (NetPARAMS)
Amount: $3,458,210 Topic: N07-193
The goal of NetPARAMS is to design, develop, test, and evaluate a network management tool for the US Navy that allows for dynamic visibility and control over the routers, links, and flows to automate actions to meet the commander’s intent of ship-to-shore and ship-to-ship communications. The tool will provide control over routers afloat and ashore to help manage and automate tasks, react to events, and schedule tasks, and become more autonomic over time. Currently the Navy has multiple communication paths from shore-to-ship and ship-to-ship but setup and management is not sufficiently dynamic. Multiple enclaves and paths to and from shore and ship use several RF paths with different characteristics. In this complex environment of dynamic changes, typically configurations are set and not changed. The Navy requires more dynamic changes to QoS, OSPF routing, PBR, ACL and other configurations to efficiently use the network resources to provide situational awareness and effective mission execution. This network management tool will be adaptable to ADNS Increment III and IV where there is more connectivity into more platforms, aircraft, and UAVs. The tool will align with ADNS requirements for IPv6 compatibility and with ADNS WAN connections into DoD GIG networks via the black core.
Tagged as:
SBIR
Phase II
2009
DOD
NAVY
Live Fire Virtual Sniper/Counter Sniper Training System
Amount: $69,997 Topic: N08-067
The Deployable Interactive Virtual Environment Sniper Trainer (DIVEST) is a innovative use of existing technologies in a novel application. Sniper training requires the ability of the trainee to exercise observations skills (reconnaissance), marksmanship skills, and as a fighting team – sniper and spotter – decision making skills. Using gaming technology, open source systems, instrumentation, and a scalable full movement “Play Box,” DIVEST will bring state-of-the-art Virtual Environments (VE) to the high fidelity reconnaissance and marksmanship training requirements needed by the military’s elite Snipers. Phase 1 of this effort will develop a prototype training system design using open source Commercial Off -The-Shelf (COTS)/Government Off-The- Shelf (GOTS) technologies that will allow the trainee freedom of movement, in a necessarily limited “play box”, realistic viewing of “targets”, real weapons and sites, and a high level of realism in interacting with the synthetic (or gaming) environment. The Phase 1 (Option) will iterate the design determined in Phase 1 and begin the technical determination of the interfaces and development necessary to build the prototype training system in Phase 2.
Tagged as:
SBIR
Phase I
2008
DOD
NAVY
Network Planning and Real-time Automated Management System (NetPARAMS)
Amount: $99,990 Topic: N07-193
Mobile ad-hoc networking is a technology that offers great value to warfighters. It promises self-forming, self-healing distributed networking ideally suited to the constantly changing environments of the battlefield. However, the reality of mobile ad-hoc networks (MANETs) has yet to come level with the promises. Military network planning does not yet enable planners to use MANETs as a connectivity extender, and to date MANETs are not reliable enough in either connectivity or throughput to reliably carry mission-critical information for the military. Given MANET’s mobile nature, it is necessary that MANETs evolve from self-forming to self-managed networks so as to help relieve planning requirements. The idea behind self-management is that MANET nodes collaborate to optimize their own routing and quality of service. In this effort, tools will be created to move MANETs close to self-managed networks and provide network monitoring and management that covers network from the wireline to the wireless. Algorithms will be generated and simulated to improve MANET connectivity and QoS. A planning tool will be created to help network planners use MANETs, and existing network management software will be modified to provide wireline and MANET monitoring and management.
Tagged as:
SBIR
Phase I
2008
DOD
NAVY