Image Generation Systems and Image Generation Methods
Image generation systems and image generation methods are described. According to one aspect, an image generation system includes an imaging system configured to transmit light towards an observer's eye to form a plurality of pixels of an image upon the retina of the observer's eye at a moment in time; and a control system coupled with the imaging system and wherein the control system is configured to access data content regarding the image, to generate a plurality of control signals according to the accessed data content, and to output the control signals to the imaging system to control the transmission of the light by the imaging system towards the observer's eye to form the plurality of pixels of the image upon the retina of the observer's eye at the moment in time.
Combinatorial Evaluation of Systems Including Decomposition of a System Representation Into Fundamental Cycles
We construct an algebraic-combination model of networks-of-networks. A Petri net is used to construct an initial representation of the decision-making network, which in turn defines a hyperdigraph. We observe that the linear algebraic structure of each hyperdigraph admits a canonical set of algebraic-combinatorial invariants that correspond to the information flow conservation laws governing a kinetic network. The linear algebraic structure of the hyperdigraph and its sets of invariants can be generalized to define a discrete algebraic-geometric structure, which is referred to as an oriented Matroid. Oriented matroids define a polyhedral optimization geometry that is used to determine optimal subpaths that span the nullspace of a set of kinetic equations. Sets of constrained submodular path optimizations on the hyperdigraph are objectively obtained as a spanning tree of minimum cycle paths. This complete set of subcircuits is used to identify the network pinch points and invariant flow subpaths. We demonstrate that this family of minimal circuits also characteristically identifies additional significant pattern features. We used several applications (including the biochemistry of the Krebs Cycle, the SOS Compartment A of the EGFR biochemical pathway, and economics-driven electric power grids) to develop and demonstrate the application of our algebraic-combinatorial mathematical modeling methodology.
SYSTEMS AND METHODS FOR DATA STORAGE AND RETRIEVAL
A method includes directing a probe beam to a target that includes an array of data portions in a data storage medium arranged so that a beam area of the probe beam extends across a plurality of adjacent data portions, the array including a data portion subset with each data portion of the subset responsive to the probe beam to produce a response illumination, receiving the response illumination at a detector, and determining data values corresponding to the plurality of adjacent data portions based on the received response illumination. Apparatus and systems are also disclosed.density.
Method and Apparatus for Concentrating Vapors for Analysis
The addition of a thermally-desorbed, small-volume, solid-sorbent preconcentrator prior to real-time chemical sensor measurement of organic vapors can improve sensitivity and the initiation of the heating defines when analytes are delivered to the analytical system. Systems using preconcentrator can provide detection levels that are 10-1000 times lower than systems using direct sampling and analysis. During operation, a small volume of solid sorbent material collects chemicals from a large gas sample (e.g., at a given flow rate for a fixed period of time) and then releases the chemical(s) into a small gas volume during thermal desorption. This results in a concentrated chemical pulse that generates a rapid peak in the detector response. The signal before and after this peak is used as the baseline. Thus the process provides preconcentration, sample injection, and signal modulation functions. This signal modulation overcomes difficulties with baseline drift and sensor re-zeroing, and facilitates automated feature extraction, i.e., determining the magnitude of the response from the temporal data stream. These features are particularly useful for continuous unattended monitoring applications.
IMAGING SYSTEMS AND RELATED METHODS INCLUDING RADAR IMAGING WITH MOVING ARRAYS OR MOVING TARGETS
High resolution millimeter-wave (MMW) imaging can be achieved on drone and unmanned aerial vehicle (UAV) platforms utilizing a breakthrough concept of high frequency, wide bandwidth RADARs in conjunction with precision position tracking of the platform vs. time. Standard imaging techniques scan a RADAR over an area and focused the received waveforms using Fast Fourier Transforms (FFTs) or correlation techniques, however all these focusing techniques rely on accurate phase information to create a high resolution image. Any motion that is not in the ideal scan trajectory of the radar on the platform creates phase distortion in the RADAR data. This phase distortion greatly defocusses the image. However this new technique takes advantage of precision 3D position tracking technologies, (optical tracking, high resolution differential GPS + magnetometers, redundant multiple axis accelerometers etc...) to accurately record the position and rotation of the drone/UAV platform vs. time. The 3D position and rotation information of the drone/UAV platform is then synchronized in time with the received RADAR waveforms. The 3D position registration is then used to apply a phase/position shift to the received waveforms in post processing. After the motion of the RADAR has been registered a weighting function is applied to create uniform sampling of the RADAR waveforms over its scanned trajectory. The position corrected and weighted waveform samples are then focused using correlation techniques to create 2D and 3D high resolution SAR images for short range applications.
PREDICTION OF SOCIAL MEDIA POSTINGS AS TRUSTED NEWS OR AS TYPES OF SUSPICIOUS NEWS
We build predictive models to classify thousands of news posts as suspicious or verified, and predict four subtypes of suspicious news on twitter - satire, hoaxes, clickbait and propaganda. We show that neural network models trained on tweet content and social network interactions outperform lexical models. Unlike previous work on deception detection, we find that adding syntax and grammar features to our models does not improve performance. Incorporating linguistic features improves classification results, however, social interaction features are most informative for finer-grained separation between four types of suspicious news posts.
COMPUTING SYSTEM OPERATIONAL METHODS AND APPARATUS (iEdison No. 0685901-17-0010)
Segmentation is a fundamental design principle enabling secure cyber system development. This invention enables a level of segmentation heretofore not possible. This invention leverages and integrates the techniques of host based containerization and network partitioning by creating features within host that attach network labels to communication leaving the host that provides context information including the application, user/role, and/or business process that generated the data. Network segmentation capabilities then utilize that labeling information to provide logical separation of traffic such that applications/business processes appear to be on independent networks. This invention is the technique and technology that integrates the host containers with the network segmentation by providing a mechanism to intercept and label traffic coming from containers to enable network segmentation tools work efficiently and effectively. This is done through software that runs on the host the is a shim between the container and the network interface (a driver in the hypervisor, another container with host based routing, software running in the hypervisor, etc). This software is configured with parameters of information about the container it is attached to so that it can properly generate the network labeling to enable a network segmentation topology to segment traffic between software running on hosts (Cisco ISE, Software defined networking/openflo, etc). Finally, this technology allows for dynamic actions to reduce security risk. If a risk is found, through any myriad of cyber or physical sensors, policies could be enabled that dynamically alter how the network segmentation behaves; i.e. blackhole some communication, send communication to a honeypot instead of real system, increase logging/sensoring on traffic, introduce latency/cost to traffic, etc.
ION MANIPULATION DEVICE
An ion manipulation method and device is disclosed. The device includes a pair of substantially parallel surfaces. An array of inner electrodes is contained within, and extends substantially along the length of, each parallel surface. The device includes a first outer array of electrodes and a second outer array of electrodes. Each outer array of electrodes is positioned on either side of the inner electrodes, and is contained within and extends substantially along the length of each parallel surface. A DC voltage is applied to the first and second outer array of electrodes. A RF voltage, with a superimposed electric field, is applied to the inner electrodes by applying the DC voltages to each electrode. Ions either move between the parallel surfaces within an ion confinement area or along paths in the direction of the electric field, or can be trapped in the ion confinement area.