Software | Technology Licensing

Available Technologies by Category

Streamlined Combination Analysis by FORECAST Accurately Predicts and Identifies Pending Malware Attacks Automating the combined techniques of memory forensics and symbolic analysis accelerates how fast an enterprise or government becomes aware of the true extent of malware’s capabilities. When countering cyberattacks, FORECAST provides improved accuracy (94%, overall) with its automated analysis, which is crucial to helping cybersecurity efforts to efficiently focus on high-impact solutions. FORECAST has the flexibility to be a valuable incidence response tool, even when malware is fileless since it uses the software’s memory image to accurately predict the program’s capabilities.	8581
Customizable Smart Charging Solution for Electric Vehicles in Residential Areas This customizable smart charger uses algorithms and a hardware prototype to control electric vehicle charging and optimize benefits to consumers and power grid operators. Consumers can charge according to their preference (e.g., minimize cost, maximize carbon-free energy usage, minimize charging time, or minimize battery degradation). The smart charger selects charging profiles that delay charging to avoid excessive loads on the power grid.	8980
Enhanced Cybersecurity for Networked Motion Control Systems with Somewhat Homomorphic Encryption Increase cybersecurity with expression rewrite rules for encrypted dynamic control schemes that reduce the multiplicative depth of somewhat homomorphic encryption and improve numerical stability. New approach generates motion commands to servo systems without creating a security hole. Information decryption and control signal calculation can be performed and executed inside the plant, while all sensitive system information outside of the plant is always encrypted.	9012
Reducing Traffic Congestion and Achieving Driver Anticipation in Autonomous Vehicles Leverages existing sensing technologies to reduce congestion through ACC software changes Using history trajectories to achieve anticipative driving and reduce congestion requires significantly less processing power than machine learning As automated driving systems advance by adding additional sensors, this data can be added via software to produce more history trajectory data, which can further improve driver anticipation capabilities	9033, 9039
Cost-Effective Hydra Method Monitors DRAM Memory in Computers Hydra combines the best of SRAM-tracking (low performance overhead) and DRAM-tracking (low SRAM overhead and flexibility) to produce Row-Hammer (RH) mitigation that is effective at ultra-low thresholds. Proven results in mitigating the increasing RH security vulnerability issue, Hydra offers a low-cost solution that is widely applicable to all computer systems that use DRAM—over one billion devices. Hydra is a hybrid tracker that successfully mitigates RH security issues and does not compromise the functionality of the computer system.	8933
Biologically Inspired Connected Advanced Driver Assistance System Cost-effective: Leverages existing vehicle infrastructure (e.g., sensors, lights) along with an affordable software upgrade to provide enhanced collision avoidance capabilities, typically for less than $500 Safety-enhancing: Designed to help prevent up to 94% of automotive crashes by providing reduced lag time and enabling faster driver reaction rates Convenient: Aims to optimize vehicle travel speeds and reduce traffic congestion and travel times	8918
Predictive Maintenance System for Large-Scale Operations Offers Potential for Significant Cost Savings Consistent workflow improvements: Offers repeatable and consistent enterprise-level improvements to the maintenance workflow. Proactive readiness: Improves maintenance scheduling, allowing for improved logistics, scheduling, virtual kitting, and part/component availability. Customizable: Customers can build and tailor their PMx solutions according to their needs, providing increased data control and an alternative to costly and limited solutions.	8793
Airborne Acoustic Sensing System for “Ear in the Sky” Capabilities on Unmanned Aerial Vehicles (UAVs) Optimizes speech clarity: Uses acquired empirical data and iteratively refines the processing capability until the optimal signal to noise ratio (SNR) is achieved Improves covert detection: Enables acquisition of a live voice signal from a person of interest without detection by using UAS platforms to remotely acquire acoustic signals and using digital signal processing algorithms to filter, enhance, and localize the speech signal of interest Enhances warfare tools: Provides increased situational awareness, enhanced ISR capabilities, and helps identify potential security threats to deployed assets	6985, 7223
Passive Learning via Wearable Haptic Stimuli System Fast: This technology significantly reduces the time needed to learn Braille. In only four hours, eight test subjects were taught to type the entire Braille alphabet as well as read Braille (with >90% accuracy), while simultaneously focusing on another task. Simplifies learning: A lack of certified Braille teachers, few learning centers, and a steep learning curve make teaching Braille difficult. This technology greatly simplifies the learning process. Passive: Because it doesn’t require the user’s attention on the stimuli, this technology allows them to focus on other tasks while still learning.	6678
Marine Mammal Health Tracking & Informatics Platform Objective health data: Most existing marine mammal health tracking approaches solely consist of subjective observation. This innovation is designed to provide accurate and objective data-driven information to better monitor animal health. Quicker response to problems: This computer-instrumented toy can build a baseline of quantified behavior, enabling animal care staff to see behavioral anomalies that are indicative of health issues and potentially treat the issue more quickly. Simple dashboard interface: In a single glance, the dashboard shows all information a caregiver might need about a given animal—including whether a health issue may be present.	8957
Gaussian Switch Sampling (GauSS) for Training Deep Neural Networks Better analyses: It provides a method to analyze models and their interaction with data. Improved accuracy: By matching or outperforming existing technologies in terms of test accuracy on in-distribution as well as out-of-distribution applications, GauSS is more selective and finds samples that help the network learn as well as remember things previously learned. Versatile: The strategy is based exclusively on learning dynamics and, therefore, can be generalized across networks, data, and training methods.	8757
RobocallGuardPlus Advanced: Uses a unique smart virtual assistant with a voice interaction model that generates natural conversation to filter out robocalls Robust: Blocks robocalls that other methods may miss, such as those that evade call block lists through caller ID spoofing Unique: Provides the first known system to block mass, evasive, and targeted robocalls using natural, interactive conversation methods rather than relying solely on caller ID and block lists	8817
Generative Causal Explanations for Black-Box Classifiers Increased trust: Has the potential to improve the transparency and fairness of machine learning systems and increase the level of trust users place in their decisions Flexible explanation vocabulary: Provides a rich and flexible vocabulary for explanation that is more expressive than feature selection or saliency map–based methods Deeper insights: Offers visualizations that can be much more descriptive than saliency maps, particularly in vision applications, leading to better user understanding	8507
Real-Time Mobilization of Computer Software Applications Comprehensive: Overcomes speed, traffic, and interface limitations of basic remote computing Resourceful: Allows for seamless function without a high data usage burden Efficient: Applies unique transformation services to accelerate and enhance the user’s mobilized application experiences	5798
AwareSite Proximity Safety Sensing System for Construction and Other Work Sites Improved work safety and efficiency: Not only are accidents prevented when workers and equipment operators are alerted that they are crossing set safety boundaries, their proximity and movement data are also stored in the cloud and can be used to analyze work patterns that could improve safety, work process efficiency, and more. Low-cost and flexible hardware: The system uses inexpensive custom PPU devices but can also be paired with workers’ personal smartphones for connecting to the system. User friendly and reliable: System setup and operation is simple. Beacons use Bluetooth® low-energy technology and can last more than one year without changing batteries.	7970, 7971
Rapid Mobilization of Essential Enterprise Applications Rapid: Significantly reduces time needed to mobilize an enterprise application as compared to conventional mobilization solutions Cost-efficient: Leverages a cloud-based, codeless platform that saves on both time and budget Flexible: Demonstrates potential to efficiently provide mobile functionality for a wide variety of applications necessary for business operations	5583
Using Smart Macros to Optimize User Actions on Smartphones Improves user experience: Provides near-desktop level experience for the mobile phone environment Easy to use: Reduces user burden by presenting programmable macros in a simple and user-friendly manner Causes minimum overhead: Does not contain any process that degrades the remote desktop performance because of high requirements for the central processing unit (CPU) or memory	5501
Virtual Sensing Integrated for Predictive Reliability (VIPR) Advanced: Acquires system data via virtual sensing, without the need for physical sensors in all desired locations Cost-reducing: Aims to reduce maintenance and planning costs for solid rocket motors and potentially other vehicle propulsion systems Predictive: Provides useful, repeatable, extensive data sets to predict rocket performance and enable proactive plans for propulsion system maintenance, upgrades, and replacements, potentially reducing downtime and failures	8555
ScheduleNet: Advancing Multi-Robot Coordination Superior performance: Outperforms approximate human-robot scheduling methods in both schedule optimization and total number of feasible schedules Robust: Can autonomously learn scalable scheduling heuristics on multiple application domains and attains an order-of-magnitude improved computation speed compared with exact methods Novel: Is the first method to leverage graph neural networks involving simple temporal network (STN)-based scheduling problems with spatial constraints	8515, 8517
Privacy-Preserving Remote Biometric Authentication Protective: Designed to eliminate privacy concerns associated with databases of people’s faces Flexible: Supports various biometrics, including face, voice, iris, fingerprint, and gait Remote authentication: Eliminates the need to always possess the enrollment device	7885
‘Intelligent’ Power Amplifier Architecture AI-assisted: Provides the PA self-reconfigurability and robust adaptive operation over environmental changes High performance: Features low latency and fast response capabilities required for many fifth-generation (5G) applications Improved learning efficiency: Incorporates into control algorithms multiple RL frameworks, including CAB, multi-armed bandit, contextual bandit, and actor-critic with experience replay	8377
Contextually Aware, Machine Learning–Based Smart Notification System Increases user efficiency Increases user productivity Reduces user stress	8034
The Sliding-Window Queue-Proportional Sampling (SW-QPS) Algorithm High performance: Offers a novel switching framework that eliminates batching delays without sacrificing throughput performance Advanced: Computes matchings of much higher quality than state-of-the-art and widely used regular switching algorithms Efficient: Achieves at least 88 percent throughput with a computational complexity of just O(1) per port	8540
Internet of Space Things Comprehensive: Provides a fully integrated cyber-physical system that allows for active sensing, passive sensing, and data communications Robust: Offers a dynamic and scalable network configuration with a centralized control that enables and simplifies data aggregation Cost effective: Permits highly differentiated networking capabilities to be integrated and deployed over the same network infrastructure, using CubeSats to decrease costs	7957, 7958
LogicFuzzer Cybersecurity Framework Accurate: Demonstrates high reliability in identifying the presence of malicious code and programs Robust: Identifies malware even if the attacker hides the malicious behavior (e.g., by using a logic bomb), since it is agnostic to large timer or counter values set to hide malicious code segments Easy to use: Eliminates the need for a training stage and requires only the binary program rather than source code	8372
High-Precision Cell Membrane Tracking for Automated Electrophysiology Highly accurate: Overcomes the challenges of tissue interference and movement for precise membrane tracking that can be used for automation Instantaneous: Surpasses earlier attempts at automating this process by effectively identifying and tracking cell boundaries in real time High fidelity: Operates efficiently and precisely even in dynamic, high-interference environments	7467
Shape Machine General solution — the sub-shape recognition module proposed is the first general solution to recognize sub-shape in a bigger shape Efficient — users can manipulate geometries instead of pixel-based images so there is no data training needed	8054
Protecting Cache Memories from Eviction-Based Attacks Robust to attacks – tolerates years of continuous eviction-based attacks Negligible slowdown – creates an miniscule slowdown of 1% Storage efficient – requires a storage overhead of less than 100 bytes for new structures	7979
Zombie-Based Mitigation – Protecting Cache from Flush-Based Attack Negligible performance – performance is unchanged when the system is not under attack Storage efficient – low storage required for implementation and execution (1 bit per line) Robust – no restrictions on capacity benefits of page-sharing	8008
A Technique for Integrating Photographs for Medical Imaging Examinations Prevents the application of incorrect patient identification at the time of medical image generation Allows the correlation of serial imaging studies by ensuring that all studies are from the same patient Avoids the generation of incorrect reports	6402
Fluorescence Microscopy with an Ideal sCMOS Camera Fast – produces fully quantitative sCMOS image restoration up to 100 times faster than the current state-of-the-art Accurate – produces fully quantitative sCMOS image restoration up to two orders of magnitude more accurate than the current state-of-the-art Improved features – allows a broad range of imaging techniques without compromising data reliability	8098
Dual-Polarized Antenna for OFDM Assists wireless devices conform to power transmission limits that normally accompany FCC transmit mask rules Power maximization and substantial gain in Signal-Noise Ratio at the receiver by combating fading on a subcarrier-by-subcarrier basis Minimal signal loss within the channel for each subcarrier through the use of polarization control	6492
OSSPolice Scalable Fully-automated Accuracy	7791
Segmenting Stroke-Like Structures in Images Computationally efficient User-friendly Operator guidance — correction of errors	4096
AR Display and IR Sensing System for Baked Products Reduces errors and labor involved in quality control Saves time and money Assists operators in identification of potential problems	4089
RFID Security Dynamic security — keys are constantly refreshed so even if a given key is compromised, the breach is only temporary Limiting — hackers ability to access RFID from a distance	4028
Optimized Boolean Form Eliminates the possibility of causing exponential growth Simplified solution	4190
Indirect Programming of Floating-Gate Transistors Reduced switch count Fewer parasitics Better overall performance	3838
Environmental Context from Machine Readable Visual Markers High resolution — system can provide high resolution indoor location context	5429
Quad-Wing Flapping Micro Aerial Vehicle with Independent Wing Control Higher energy and endurance resulting in extended flight-times and payload capacities Higher agility compared to previous models Unique control system	5426

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