Technology Transfer

Available Technology

Researchers at Colorado State University’s Agricultural Water Quality Program (AWQP) have developed a low-cost, automated water sampler (LCS) with Internet of Things (IoT) technology for scalable, near-real-time water quality research. This can be utilized in edge-of-field (EoF) monitoring and is significantly less expensive than current commercial water samplers.

Researchers at Colorado State University have developed a device to safeguard electronic devices from tampering or war-driving and to prevent interference between two or more wireless signals. This device uses novel 3D printed metal/plastic composite shielding to control the distance and direction of wave signal readability.  The novel composite shielding is capable of blocking EMI and RFI readability except in the direction and from the distance desired. Both traditional design and generative design approaches are used for the shielding architecture.

Researchers at Colorado State University have developed a novel technique and device for healing large bone defects based on a current standard of care and a bioreplaceable endoprosthetic device to protect and immobilize a highly osteogenic scaffold. With high (70%) porosity, this scaffold integrates with FDA approved fixation plates to accelerate native bone growth. This new method can be used in veterinary or human orthopedic settings, to heal and integrate large bone defects faster, leading to better long-term outcomes.

Researchers at Colorado State University have developed a novel embedded framework called FedHIL that achieves an average of 1.62 times better indoor localization accuracy than the best performing frameworks previously available. FedHIL preserves user privacy in diverse environments and can be utilized to assist personal navigation, emergency responders, security, and healthcare workers identify the location of individuals or assets within a building.

Researchers at Colorado State University have developed an improved framework for routing information while avoiding network congestion on network-on-chip architectures, called Q-RASP. This technique was compared against other routing policies in synthetic and real application traffic. It can reduce packet latency by up to 18.3% and has up to 6.7% lower energy consumption than other Q-routing policies.

Researchers at Colorado State University have developed a light-weight and energy-efficient mechanism to enable perching and grasping capabilities in aerial robots. It is easy to close, stable to hold, and easy to adjust, allowing the ability to perch on trees, powerlines, and the like, and enabling these devices the invaluable feature to rest while maintaining desired heights for monitoring (without flying).

Researchers at CSU and University of Minnesota have developed a DNA genotyping assay that identifies the presence of Palmer amaranth seeds in a mixture of seeds, for the purpose of detecting noxious weed seed contamination. The test can be used by seed producers to determine if their seed may be sold in locations were Palmer amaranth (Ameranthus palmeri) is a prohibited noxious weed, and they must certify their clean seed.

Researchers at Colorado State University have developed patented methods for evaluating the in vitro-in vivo activity relationship of antibacterial compounds to better prioritize and advance drugs through the drug discovery pipeline for treatment of several bacterial infections, including M. tuberculosis, F. tularensis, and B. pseudomallei.

The drug discovery strategy developed here is incorporated into all of the team’s drug discovery programs, NIH funded drug assessment contracts, and industrial drug discovery partnerships, amounting to at least 5 different programs and thousands of tests. The approach describes prioritized progression of compounds into efficacy studies using animal models of infection.

The controller within a microgrid is essentially a power management system and it should keep the balance between power generation and consumption to minimize the frequency deviation that results from load fluctuation and variability in renewable energy sources.  When there is excess power in a grid, the grid frequency tends to increase.  This applies to both utility grids and microgrids.  On the other hand, the grid frequency decreases if the generated power within a grid cannot fulfill the load demands.  If the utility grid frequency deviation exceeds the allowed limits, breakers will open and cause blackouts.  The same principle applies to microgrids.  Thus, it is critical to maintain a constant engine speed regardless of system disturbances, variations, and uncertainties.

Situations requiring significant transient performance are numerous (e.g., mining sites, fracking operations, oil & gas industry operations), and they are currently served by diesel based systems, rather than cheaper, cleaner, abundant natural gas because performance capabilities are limited with current technologies using natural gas engines under operating conditions.

The proposed method detects data confidentiality attacks in a system of transmitting signals. By reducing the amount of power used to send a signal to a detector, a malicious detector is no longer able to covertly monitor or snoop data. In this manner, the invention provides a novel technique that, when combined with conventional capabilities such as traditional CRC or Hamming codes in network packet headers- provides quick and effective detection of data corruption and data confidentiality attacks having occurred in the optical interconnect part of a transport network.

Researchers at Colorado State University have developed a personal wearable monitor that quantifies exposure to gases (volatile organic compounds, VOC) and particulate matter (PM) dubbed the AirPen. The small, quiet, wearable design allows personal VOC and PM exposures to be measured across distinct microenvironments, including a person’s home, place of work or school, transit and commuting paths, and other non-residential indoor environments. The AirPen can be used to advance our understanding of personal exposure to air pollution as a function of time, location, source, and activity, even in the absence of detailed activity diary data.