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A Method for Understanding Web Query Interfaces: Best-Effort Parsing with Hidden Syntax A computer program product being embodied on a computer readable medium for extracting semantic information about a plurality of documents being accessible... Read More A computer program product being embodied on a computer readable medium for extracting semantic information about a plurality of documents being accessible via a computer network, the computer program product including computer-executable instructions for: generating a plurality of tokens from at least one of the documents, each token being indicative of a displayed item and a corresponding position; and, constructing at least one parse tree indicative of a semantic structure of the at least one document from the tokens dependently upon a grammar being indicative of presentation conventions.
DNA-Based Data Storage Using Portable Sequencer Dr. Milenkovic has developed a new method for error-free random access data storage through DNA that uses a portable nanopore sequencer. The error correction methods used... Read More Dr. Milenkovic has developed a new method for error-free random access data storage through DNA that uses a portable nanopore sequencer. The error correction methods used in this scheme result in error-free reconstructions of the synthetic DNA strand. This system has an information rate of 0.83 and a storage density of 1.07 x 10^23 bytes/gram.
Native DNA Based Storage and Computing via Single Strand Nicking Prof. Milenkovic from the University of Illinois at Urbana-Champaign has developed a new method for DNA based storage of information. In... Read More Prof. Milenkovic from the University of Illinois at Urbana-Champaign has developed a new method for DNA based storage of information. In this method information is first converted into positive integers based on which single strand of the DNA is nicked at defined positions. This information can be accessed through immunoprecipitation and sequencing of the DNA. This method allows for random access as well as computation of data.
Solid-State Drive The University of Illinois’ TimeSSD and TimeKits tools are a firmware-level augmentation to solid state drive (SSD) architecture. The technology uses intrinsic... Read More The University of Illinois’ TimeSSD and TimeKits tools are a firmware-level augmentation to solid state drive (SSD) architecture. The technology uses intrinsic flash properties to retain the history of past storage states on a time-scale basis for up to several weeks without relying on explicit data backups. The hardware-isolated TimeSSD/TimeKits solution can significantly enhance the security of flash-based storage systems while incurring negligible performance overhead for the majority of common applications. TimeSSD and TimeKits functionalities can provide flexibility and facilitate more efficient, secure system functions such as protecting against malware or encrypted ransomware attacks that corrupt files in storage, recovering user files, retrieving update logs, and providing an evidence chain for storage forensics. Rollback to a previous consistent state may be achieved with minimal software involvement. A proceedings paper further describing the invention can be accessed here. This invention is patent pending.
SemiSynBio: An On-Chip Nanoscale Storage System Using Chimeric DNA Dr. Milenkovic from the University of Illinois has developed an on-chip integrated nanosytem for writing, storage, access, and reading of large data volumes that utilizes... Read More Dr. Milenkovic from the University of Illinois has developed an on-chip integrated nanosytem for writing, storage, access, and reading of large data volumes that utilizes inexpensive chimeric DNA, scalable grids of semiconductor nanotubes, and specialized nanopore sequencers. Using an M13 template for ease-of-synthesis and modified DNA bases to expand the potential alphabet, this system of synthesis for DNA-based data storage is inexpensive and flexible. In addition, selectively addressable semiconductor nanotubes are incorporated into an on-chip nanopore sequencer enabling selective storage/querying/retrieval of information in DNA-based data storage. This development represents a significant advance towards end-to-end automation of DNA-based data storage. Primary Application: Data Storage and Archiving Benefit: Provides a mechanism for selective storage and reading of DNA library, basis for data storage architecture
Image Processing and Error-Correction in DNA via Inpainting and Filtering Dr. Olgica Milenkovic and Dr. Charles Schroeder at the University of Illinois has developed an error-correction method for DNA-based data storage of massive image datasets. Previous methods for... Read More Dr. Olgica Milenkovic and Dr. Charles Schroeder at the University of Illinois has developed an error-correction method for DNA-based data storage of massive image datasets. Previous methods for addressing errors use Reed-Solomon codes at both the individual oligo and pool of oligo level to reconstruct missing strings from redundantly encoded oligos. This method uses deep learning techniques to utilize natural redundancy present in the images to perform inpainting on the missing pixels, reconstructing the missing information, and avoiding the requirement for synthesizing and sequencing redundancy in the oligos.