Award Data

VINI Phase II will develop an end-to-end big network data visualization system. The VINI Phase II system will include visual decluttering features that simplify the display of graph data as the number of nodes and links increases. In addition, it will have visual interaction tools that allow users to find and filter data and metadata for the network in an intuitive manner. We will also develop an ...

Recent materials development together with an improving understanding of organic transistors has enabled solution-processed materials that show good performance, with high transparency in the visible range. In this program, leveraging on our extensive experience in organic material development and large scale organic material deposition by solution based processing, Agiltron and Stanford Universit ...

In this STTR project, Science Research Laboratory (SRL) and Boston University Photonics Center (BU Photonics) will develop a revolutionary optical technology for detecting localized increases in temperature on time scales ranging from nanoseconds to microseconds. Localized diode heating is a critical factor limiting the lifetime of LDs; such heating causes optical and electrical instabilities that ...

In Phase I of UBER-HEB, the Aptima team made significant progress designing a non-von Neumann hierarchical universal learning system based on the Ersatz Brain Architecture (EBA). An experiment using an EBA implementation showed emergence of module assemblies, a critical step in validation. In Phase II, we propose to focus sharply on an important, well-characterized problem ideally suited to the EB ...

Rodents serve as models for the human brain and behavior, and their calls give researchers a window into their mood. Unfortunately, rodent calls are ultrasonic, so a researcher must record a test and then play the audio back at a slower speed to manually categorize and count calls. Software does exist to accomplish this task, but it does not have the ease of use or accuracy that researchers want. ...

The 3-D SAR imaging of objects in a scene provides improved military target identification and weapons targeting accuracy. This capability can also potentially be combined with simultaneous SAR/GMTI surveillance modes to provide 3-D context information for moving targets in a scene. In Phase I, TSC demonstrated a promising approach for noncoherently combining 3-D tomographic SAR images generated f ...

There are several current and imminent orthotic and prosthetic (O&P) fitting scenarios that would greatly benefit from the ability to wirelessly collect and transmit physiological information from the user. Both upper- and lower- limb O&P fittings that: 1) use osseointegration, 2) have cable management issues, and 3) could benefit from physiological information from locations proximal to the prost ...

Accurate assessment of burn depth and surface area are important to clinical decision-making regarding treatment. Initial assessment determines fluid requirements and transportation decisions to distant-care facilities. The clinician must determine if the wound will heal itself or whether excision and grafting are necessary for optimal wound healing. The standard of care remains visual inspection ...

Boston Fusion Corp. and Arizona State University will research and develop REsilience & Stability in DENse Terrains (RESIDENT), a multi-model, multi-scale framework for assessing indicators of stability and resilience in dense urban environments. Our team consists of subject matter experts in the Social and Computer Sciences providing the bedrock on which to build accurate mathematical models of u ...

The unique scale, population density, complexity, and connectedness of megacities requires new tools for detecting and assessing risks related to civil unrest, rule of law, terrorism, and other sources of instability, and for understanding the underlying dynamics. In addition, gray zone operations pose a new and strategically important class of threats to the stability of nation states and cities ...