Abstract: A system is disclosed for the automated correction of optical and digital aberrations in a digital imaging system. The system includes (a) digital filters, (b) hardware modifications and (c) digital system corrections. The system solves numerous problems in still and video photography that are presented in the digital imaging environment.

Abstract: The connection architecture of a network on a chip (NoC) is described in which (a) nodes in octahedron sections are connected in an arc Benes network, (b) a hierarchy of node clusters are connected using a globally asynchronous locally asynchronous (GALA) configuration, (c) a double wishbone 2D torus ring is applied to connection between network layers and (d) data is routed using buffer modulation.

Abstract: A multi-functional digital imaging system is described that controls and manages digital image filtration processes. The camera CPU and DSP are used to filter digital sensor files using algorithms to correct optical and digital aberrations.

Abstract: A multi-functional digital imaging system is described that disaggregates camera functions into network computing interactions with at least one image capture device. The camera captures the image and sends the image file to at least one external computer for filtration and modification of the image file.

Abstract: A digital imaging system is described that controls and manages depth-of-field (DOF) modulation processes in camera. The camera CPU and DSP are used to modulate the DOF by using feedback from the scene and user preferences. The camera CPU sends a signal to the lens CPU to modify the lens aperture to control DOF to satisfy user preferences.

Abstract: A system, methods and apparatus are described involving the self-organizing dynamics of networks of distributed computers. The system is comprised of complex networks of databases. The system presents a novel database architecture called the distributed transformational spatio-temporal object relational (T-STOR) database management system (dbms). Data is continuously input, analyzed, organized, reorganized and used for specific commercial and industrial applications. The system uses intelligent mobile software agents in a multi-agent system in order to learn, anticipate, and adapt and to perform numerous functions, including search, analysis, collaboration, negotiation, decision making and structural transformation. The system links together numerous complex systems involving distributed networks to present a novel model for dynamic adaptive computing systems, which includes plasticity of collective behavior and self-organizing behavior in intelligent system structures.

Abstract: A multi-functional digital imaging system is described that disaggregates camera functions into video imaging modulation processes, including DSP feedback, moving object modulation, frame rate modulation, video file analysis and video file organization.

Abstract: The invention develops models of functional proteomics. Simulation scenarios of protein pathway vectors and protein-protein interactions are modeled from limited information in protein databases. The system focuses on three integrated subsystems, including (1) a system to model protein-protein interactions using an evolvable Global Proteomic Model (GPM) of functional proteomics to ascertain healthy pathway operations, (2) a system to identify haplotypes customized for specific pathology using dysfunctional protein pathway simulations of the function of combinations of single nucleotide polymorphisms (SNPs) so as to ascertain pathology mutation sources and (3) a pharmacoproteomic modeling system to develop, test and refine proposed drug solutions based on the molecular structure and topology of mutant protein(s) in order to manage individual pathologies. The system focuses on simulating the degenerative genetic disease categories of cancer, neurodegenerative diseases, immunodegenerative diseases and aging.

Abstract: A multi-functional digital imaging system is described that controls and manages digital image filtration processes. The camera CPU and DSP are used to filter digital sensor files using algorithms to correct optical and digital aberrations.

Abstract: A multi-functional digital imaging system is described that disaggregates camera functions into video imaging modulation processes, including DSP feedback, moving object modulation, frame rate modulation, video file analysis and video file organization.

Abstract: A multi-functional digital imaging system is described that disaggregates camera functions into network computing interactions with at least one image capture device. The camera captures the image and sends the image file to at least one external computer for filtration and modification of the image file.

Abstract: A multi-functional digital imaging system is described that disaggregates camera functions into modular camera functionality. Analytical camera functions of image assessment and control are exported to at least one external computer. The system filters image files in an external computer by using an external DSP and imports the corrected file to the camera for storage and display.

Abstract: A multi-functional digital imaging system is described that controls, manages and automates digital image and video compression and decompression methods. The digital image file is compressed and decompressed in a seven step modular user-adjustable lossless process.

Abstract: A digital imaging system is described that controls and manages depth-of-field (DOF) modulation processes in camera. The camera CPU and DSP are used to modulate the DOF by using feedback from the scene and user preferences. The camera CPU sends a signal to the lens CPU to modify the lens aperture to control DOF to satisfy user preferences.

Abstract: The invention provides a system for organizing, integrating, coordinating and customizing an individual physical fitness program by employing a set of database management systems, computer platforms and differentiated physical fitness devices and components.

Abstract: The hybrid artificial immune system consists of three main layers, including a solution application layer that interacts with the environment, a solution generation layer that solves combinatorial optimization problems and a modeling layer that analyzes problems and presents solution scenarios. The system solves evolutionary multi-objective optimization problems in network computing, robotics, artificial neural networks, protein network modeling, evolutionary systems and evolutionary hardware.

Abstract: The invention relates to multi-planar logic components in a three-dimensional (3D) integrated circuit (IC) apparatus configuration. A multi-planar integrated circuit connected by through silicon vias is configured to connect microprocessor, FPGA and memory components. The integrated circuit components may be on tiles of layers of the 3D IC.

Abstract: The intelligent medical device (iMD) system coordinates the dynamics of hardware and software components in a self-organizing autonomous system. The iMD system uses advanced modeling and metaheuristics to solve complex optimization problems involving the customization of medical therapies. The system uses evolvable hardware and reprogrammable features to coordinate the diagnostic and therapeutic functions of the iMDs.

Abstract: A system of self-organizing mobile robotic agents (MRAs) in a multi-robotic system (MRS) is disclosed. The MRAs use simulations to organize the behaviors of groups of robots in the MRS. The MRAs use software agents to model the MRS and the environment. By developing simulations of environmental change, the system provides methods for the MRS to interact with its environment to produce collective epigenetic behaviors.

Abstract: The invention describes IP cores applied to 3D FPGAs, CPLDs and reprogrammable SoCs. IP cores are (a) used for continuously evolvable hardware using 3D logic circuits, (b) applied with optimization metaheuristic algorithms, (c) applied by matching combinatorial logic of netlists generated by Boolean algebra to combinatorial geometry of CPLD architecture by reaggregating IP core elements and (d) used to effect continuous recalibration of IP cores with evolvable hardware in indeterministic environments for co-evolutionary reprogrammability.