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.
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.
Method of Multiplexed Analysis Using Ion Mobility Spectrometer
Multiplexed ion mobility spectrometer (IMS)- time-of-flight (TOF) instrument provides > 10-fold sensitivity enhancement over that of the conventional IMS-TOF apparatus. When combined with ion accumulation prior to ion introduction into an IMS drift tube, multiplexing enables the coupling of a continuous ion source with an inherently pulsed IMS-TOF instrument. The novelty of the proposed approach is based on implementation of multiplexing with ion accumulation for two-dimensional ion separation.
HYBRID FILTER FOR HIGH PERFORMANCE PARTICLE, VAPOR AND MOLECULAR COLLECTION
This disclosure describes a new type of filter that enables simultaneous high performance particle and vapor collection, as well as molecular/chemical capture. The net result is a compact high efficiency filter that can be constructed in range of application specific configurations. The uniqueness is of the invention is modification of a filtration macrostructure that provides the desired physical properties for particle filtration with a thin film that provides chemical filtration. The thin film coated macrostructure substrate can increases chemical, vapor, and nanoparticle collection capacity up to four orders of magnitude without significantly altering the physical properties. This technology provides a single filtration device that can accomplish simultaneous collection of chemicals, vapors and particles without suffering the expected problems with clogging, backpressure, collection efficiency etc. A material such as metal, ceramic and polymer that have properties of particle filtration, thermal conductivity, thermal stability, electrical conductivity, flow characteristics can be used as a macrostructured substrate. The new filters can be used with liquids or gasses and can be engineered chemically and physical for specific applications. The technology has many possible applications in the areas of air and water filtration, separation chemistry, analytical collection, and detection. Though not yet demonstrated, this technology may have application to rugged batteries or as improved catalysis supports. Alternate reactive surface chemistries could be tested for these applications (alternative funding for proof of principle work may be valuable to support a massive expansion of claims for this invention).
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.
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.
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.