Advanced Analytic Capabilities (AAC)

5.1. Advanced Analytic Capabilities (AAC)

Currently there is a lack of a standardized DoD or Doctrinal Methodology for analysis of tunneling activity as a system/network which is resulting in limited ability to analyze an operating environment and characterize risks for ground forces operating in areas with tunnel and underground facilities (UFACs) threats. In order to reduce risks for these forces and to better understand the operating environment there is a requirement for analytic methodologies to detect, locate, classify, and geospatially portray tunnels or tunneling activity by assessing the threat as a network. This capability gap will be addressed through the development of a holistic analytic methodology for detecting tunnels and tunneling activity, and providing software tools that display results of analyses in order to achieve better intelligence preparation of the underground operational environment. These analytic tools will be used to characterize the tunnel threat as a system and detect the observables and signatures associated with the entire network to include, but not limited to personnel recruitment, financing activity, material procurement, and logistics. The solution will include the ability to characterize an operational environment to determine likely areas where tunneling activity may occur for use during Commanders’ Preparation of Operational Environment (Planning Phase) and the ability to geospatially display results of analyses.

Current communications devices for individual Soldiers and Marines operating in the field have limited data storage, processing, and distribution capabilities. There is no capacity to share large amounts of mission critical data among small units operating within the Infantry Battalion, Company, and Platoon battle space. Intelligence products resulting from use of the latest in big data and advanced analysis technologies are often too large to be made available below the Battalion or Regimental level. The necessity exists to provide two-way intelligence and combat information data flows, in near real-time, between command elements, deployed sensors/collectors, and individual Soldiers or Marines. Use of computing power pushed forward to the company level allows real-time analytics, intelligence, and combat information to be available to operators and reduce the constraints imposed by limited bandwidth.

Internal GPS receiver with integrated antenna.

Connect to DoD network radios PRC-117G, PRC-152A, JTRS-SRW, and JTRS-WNW.

Connect to devices using either commercial Wi-Fi 802.11 (b,g,n,ac), Bluetooth, and/or 4G cellular technologies.

End-user interface with the data shall be managed by an Android OS and a Touch Screen LCD - preferably a GOTS solution.

Powered by external BB-2590, BB-5590, and/or PRC-148, PRC-152 battery packs, or shore power.

MCS must be operational for a minimum of 4 hours when using a battery pack.

FIPS 140-2 Level 3 Encryption.

Network interface support for 36 nodes simultaneously.

Housing tested to MIL-STD 810F standards.

Weight not to exceed 5 pounds.

Provide hardware connections to include USB 2.0, 3.0, and RJ45 for bulk data transfers.

Data in transit should adhere, when possible, to the most current version of the National Information Exchange Model (NIEM).
Solutions using existing and proven hardware components with or without minor modifications are preferred.
R000 AAC FY17 Unspecified Requirement

Develop new or improved technologies or emerging technological capabilities pertaining to advanced analytics that may be of interest to CTTSO, but were not specifically requested in this BAA and are not commercially available. Proposals submitted shall be timely and relevant, and further combating terrorism.

Advanced analytic platforms, tools, and associated training for integrated solutions that fuse a variety of data sources, tools, and models (including socio-cultural dynamic models) into advanced counterinsurgency and domestic combating terrorism analytical systems for use by interagency and coalition operational communities at the strategic and operational levels and for operators in the field. This can include real-time integrated analytical and knowledge management systems that add capabilities for real-time analysis in the field.

Simple, customized analytic tools that allow operators to quickly compute and analyze information. These tools will use advanced analytic processes while delivering a streamlined, user-friendly interface, thereby reducing process time penalty and distractions so that operators can better allocate mental resources and attention. Such tools are intended to be low cost to acquire and maintain, and have an easy-to-learn user interface; therefore, are replaceable as technology or user needs progress. Although not limited to, it is anticipated the majority of solutions that fit user needs will be in application “app” format.

Imagery collection is becoming near persistent and multiple sensor platforms provide images of the same area, object, or activity over a series of short time periods. As the ability to collect spatial information increases, automated tools and processes are required to interpret and recognize objects and activities occurring within the data collected. Design and develop geospatial analytics, visualization, and modeling tools that can automatically recognize an object in images and video as well as determine changes between two or more images within minutes. The tools and application shall be highly automated and should not require extensive human intervention. Research areas of interest include:

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  Automated tools for the extraction and visualization of images and data.
  
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  Models that can provide insight into inter-workings of activities observed (e.g., pattern of life).
  
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  Tools to decrease the time required to recognize and locate an object, person, etc. within an image, video, etc.
  
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  Predictive models that when given current geospatial and social media data can predict possible outcomes based on previous observations.
  
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  Visualization tools that enhance data analysis.
  
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  Uncertainty determinations based on quantitative methods.
  
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  Modeling environments for decision making and visualization.
  

System applications must operate on a stand-alone government server system. Use of non-commercially available hardware/software shall be minimal. The Government at a minimum requires government purpose rights for the entire application. Proprietary solutions are unacceptable if the government must pay any licensing fees. The system shall be designed and developed so continual service and maintenance from the developer is not needed or required.