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Wilmington, DE, United States

Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase II | Award Amount: 783.07K | Year: 2015

Due to their high specific strength and light weight properties, polymer matrix composites (PMCs) are increasingly used in a wide variety of military and civilian aircrafts. The mechanical strength of PMCs can be dramatically compromised when such materials are exposed to various heat sources during operation and maintenance. It has been shown that PMCs can lose up to 80% of their mechanical strength when exposed to aggressive environment without causing any defective signs, which can be either visually examined or detected with conventional non-destructive evaluation (NDE) technique. In this SBIR project, AlphaSense aimed at developing a novel handheld NDE sensor to detect and quantify incipient heat damages in composite airframe structures. In Phase I, we have successfully proven the feasibility. Phase II will focus on sensor performance improvement, identification of potential confounding factors and elimination techniques, and field- deployable sensor prototype implementation and testing.

Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase I | Award Amount: 150.00K | Year: 2015

ABSTRACT:Cognitive skills/capabilities are important for the military personnel to fulfill tasks and to ensure mission efficiency and success. In the past decade, there are abundant researches suggesting that non-invasive brain stimulation via transcranial direct current stimulation (tDCS) holds great promise to enhance a soldier's cognitive performances. Although models to predict the tDCS current flow exist, they need to be validated using a high-fidelity head phantom which can mimic both its complex shapes/configurations and the conductivities of various tissues. Such a phantom, however, is currently lacking. In this proposal, AlphaSense, Inc. collaborates with Harvard Medical School to develop a novel 3D- printed head phantom for tDCS model validation. If successful, the merits of the proposed head phantom and its fabrication method include the following: a) High accuracy for tDCS model validation, b) Fully automatic process for tDCS parameter optimization, c) Capable of generating both generic and subject-specific phantoms, d) Excellent long-term stability, and e) Low fabrication cost.BENEFIT:The outcome of this research is coupled to a very clear commercialization path. The proposed head phantom can be used for both military and civilian applications. The most straightforward military application is to valid various tDCS models, based on which effective therapeutic treatment procedures can be obtained. Consequently, the cognitive performances and learning skills of soldiers and military personnel can be substantially improved to enable mission success. In addition to the cognitive performance enhancement, the tDCS model may also help the researchers to identify therapeutic treatment solutions for the veteran and active-duty solider depression issues. For civilian applications, the proposed phantom can also be used by medical researchers to identify optimum tDCS procedures to treat various medical conditions, including brain injuries, strokes, memory loss, and depression. It should be noted that the proposed 3D printing method is by no means limited to fabricate the phantoms for the tDCS model validation. If successful, it also provides a generic solution to fabricate a wide variety of medical phantoms, including brain, breast and heart phantoms, etc. for various training and surgical treatment planning applications. The potential market is huge for the above-mentioned medical phantoms.

Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase I | Award Amount: 150.00K | Year: 2014

In this proposal, AlphaSense, Inc. details the development of a fully integrated laser ultrasound visualization and laser ablation tool for corrosion identification, removal and cleaning. The key innovations of this proposal include the following: a) Hidden corrosion detections based on direct visualizations of the ultrasound propagation characteristics, b) Corrosion product removal using laser ablation, and c) The implementation of a fully integrated corrosion detection and removal tool. With such innovations, the merits of the proposed corrosion detection and removal tool include the following: a) Fully integrated, compact and portable, b) Capable of detecting hidden corrosions, c) Compatible with complex shapes, configurations and tight space constraints, d) High sensitivity and good spatial resolution, e) High throughput in both corrosion detection and removal, f) Controllable and no collateral damages, and g) Easy and safe to the operators.

Alphasense, Inc | Date: 2013-07-31

A gas analyser is provided to measure the concentration of formaldehyde within enclosed environments such as within buildings comprising an ultraviolet light source, a sample chamber, a detector. The detector measures the intensity of light received by photosensors within a measurement range of wavelengths, and at least one reference range of wavelengths. Advantageously, the concentration of formaldehyde is determined taking into account fluctuations in the intensity of light emitted by the light source, and in the presence of any interferents such as nitrogen dioxide. A method of measuring the concentration of formaldehyde in enclosed environments is also presented.

Agency: Cordis | Branch: H2020 | Program: SME-2 | Phase: ICT-37-2015 | Award Amount: 2.60M | Year: 2015

Finnish-based company AlphaSense is the provider of a disruptive Financial Search Engine (FSE) technology used by analysts and portfolio managers at over 275 client firms, including many of the worlds leading investment firms and banks. The company has gained strong adoption particularly with North American investment managers, and now AlphaSense is seeking to expand its service reach in Europe and to adapt and replicate the product for two new market segments. The AlphaSense FSE provides an innovative combination of leading edge language processing technologies yielding major time savings for knowledge professionals, who are currently wasting countless hours browsing through various information sources without effective search tools.

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