SAC is a moveable video camera whose unique software enables it to receive and process input from multiple sensors, then automatically aim itself at a target that...
SAC is a moveable video camera whose unique software enables it to receive and process input from multiple sensors, then automatically aim itself at a target that is the most probable source of that input. SAC's efficient and high-performing algorithm is derived from the study of living organisms.
Developed by researchers at the University of Illinois, this patent-pending technology can pick out and track important items in the environment. A breakthrough computer model of a region of the vertebrate brain and a probabilistic model of multisensor fusion combine to give SAC its unique monitoring and targeting capabilities. The brain's superior colliculus integrates multisensor input and guides orienting movement. As applied to SAC, the patent-pending model is organized as a map and input from sensors are applied to the model in spatial register. Each grid location on the map represents a collicular neuron that receives multisensor input from its own specific location in the environment. Each neuron in the model uses its spatially aligned multisensor input to estimate the probability of a target at the corresponding location in the environment. Then the camera aims at the location that corresponds to the model neuron with the highest target probability. SAC uses multisensor input to compute target probability. This feature derives from application of the Bayes Rule Model of Multisensory Enhancement, a probabilistic model of the multisensory responses of collicular neurons that was developed and previously published by one of the collaborating researchers.
DNA Based Storage
This technology is a new method and algorithm for storing digital data in strands of DNA via a system that enables Random Access...
DNA Based Storage
This technology is a new method and algorithm for storing digital data in strands of DNA via a system that enables Random Access and Rewrite Capabilities.
Current methods do not allow for the ability to quickly retrieve and edit data stored in DNA strands. Compared to current methods, this technology also has lower error rates and is more efficicent in accessing and editing data stored. In addition, this DNA bsed storage architecture enables Random-Access and Rewriting capabilities at lower cost than current methods, making data retrieval more affordable.
Invention Track Code: 2015-164
Asymmetric Lee Distance Codes for DNA-based Storage
This method of error correction for minimizing asymmetric errors occurring in nanopore sequencing uses a new family of codes that account for the high incidence of confusion resulting from T-C* substitution errors in nanopore sequencing.
This family of codes is a new set that has not been previously reported in literature. This is a unique application of Hamming and Lee metric codes.
Invention Track Code: 2016-034
Codes in the Damerau Distance for DNA Storage
This technology provides a coding scheme to address issues associated with DNA media aging in DNA-based storage systems.
As DNA-based data storage becomes more prevalent, an error-correction solution that accounts for the effects of aging DNA will become necessary to preserve data. This new family of codes represent the first coding scheme to address errors occurring as a result of DNA media aging in DNA-based storage systems.
Invention Track Code: 2016-037
Dr. Bo Liu from the University of IL has developed a software platform for Unmanned Aircraft Systems (UAS- aka drones) that facilitates safe and efficient recovery from...
Dr. Bo Liu from the University of IL has developed a software platform for Unmanned Aircraft Systems (UAS- aka drones) that facilitates safe and efficient recovery from both physical and software attacks. This software uses multi-core processing power to ensure that the drone can respond to any threat in real-time while remaining stable. This platform is among the first to address both issues of cyber-security and environmental threats to drones, combining previously established technologies into one consistent system.