Abstract: An optical coherence tomography (OCT) system having magnitude and direction of motion detection has a light source, and a scanning system arranged in an optical path of the light source. The scanning system is configured to scan an illumination beam of light in a spatial pattern around each of a plurality of points of interest of an object under observation for a corresponding plurality of instants of time in which each of the plurality of points of interest are displaced from each other due to motion of at least one of the OCT system or the object under observation. The OCT system also includes an OCT detection system configured and arranged to receive at least a portion of the illumination beam of light after being at least one of reflected or scattered from said the under observation, and a signal processor configured to communicate with the OCT detection system to receive detection signals therefrom.

Abstract: An axial motion distortion-corrected optical coherence tomography system. The system can include an optical coherence tomography sensor, a light source, a fiber-optic system arranged to provide a reference beam and an observation beam, an optical detection system arranged to receive combined light from the reference beam and the observation beam and to provide detection signals, and a data processing system arranged to receive said detection signals, construct a plurality of A-scans from said detection signals, and construct one or more images from said plurality of A-scans. The data processing system can be configured to correct distortion in the images caused by net axial motion of at least one of said optical coherence tomography sensor or a target of said optical coherence tomography sensor by calculating an estimate of the net axial motion using Doppler shift, and then shifting the A-scans according to the estimate.

Abstract: A probe for a common path optical coherence tomography system includes a sheath having a proximal end and a distal end and defining a lumen therein, a single mode optical fiber disposed within the lumen of the sheath such that a portion of the single mode optical fiber extends beyond the distal end of the sheath. The single mode optical fiber has an end face for transmitting and receiving light. The probe also includes a layer of hardened epoxy encasing the portion of the single mode optical fiber that extends beyond the distal end of the sheath except for the end face. The single mode optical fiber has an optical axis extending along a longitudinal direction of the single mode optical fiber. The hardened epoxy is polished at a non-orthogonal angle relative to the optical axis at the end face.

Abstract: Embodiments relate to traffic impact prediction in a transportation network. Link level background traffic demand in a transportation network may be estimated based on information about available routes, and based on expected background traffic volumes between origins and destinations. A background traffic flow model that optimizes a background flow of the expected background traffic volumes among the available routes to minimize a sum of background congestion costs, background path entropy, and errors between an observed background traffic flow and the optimized background flow may be applied. Alternative routes may be identified based on the available routes and event based control plans. Expected additional event based traffic volumes may be received. A link level total traffic demand in the transportation network may be estimated based on the expected additional event based traffic volumes, the identified alternative routes, and the estimated background traffic demand.

Abstract: A sensing material for use in a sensor is disclosed. Such a sensing material includes a polymer base and a piezoresistive nanocomposite embedded into the polymer base in a continuous pattern. The nanocomposite comprises a polymer matrix and a plurality of conductive nanofillers suspended in the matrix. The conductive nanofillers may be one or a combination of nanotubes, nanowires, particles and flakes. The density of the plurality of nanofillers is such that the nanocomposite exhibits conductivity suitable for electronic and sensor applications.

Abstract: An approach that detects locations of hazardous conditions within an infrastructure is provided. This approach uses satellite imagery, GIS data, automatic image processing, and predictive modeling to determine the location of the hazards automatically, thus optimizing infrastructure management. Specifically, a hazard detection tool provides this capability. The hazard detection tool comprises a detection component configured to: receive visual media containing asset location data about a set of physical assets, and hazard location data about potential hazards within a vicinity of each of the set of physical assets. The detection component further receives graphical information system (GIS) data containing asset location data about each of the set of physical assets.

Abstract: An approach that detects locations of hazardous conditions within an infrastructure is provided. This approach uses satellite imagery, GIS data, automatic image processing, and predictive modeling to determine the location of the hazards automatically, thus optimizing infrastructure management. Specifically, a hazard detection tool provides this capability. The hazard detection tool comprises a detection component configured to: receive visual media containing asset location data about a set of physical assets, and hazard location data about potential hazards within a vicinity of each of the set of physical assets. The detection component further receives graphical information system (GIS) data containing asset location data about each of the set of physical assets.

Abstract: A sensing material for use in a sensor is disclosed. Such a sensing material includes a polymer base and a piezoresistive nanocomposite embedded into the polymer base in a continuous pattern. The nanocomposite comprises a polymer matrix and a plurality of conductive nanofillers suspended in the matrix. The conductive nanofillers may be one or a combination of nanotubes, nanowires, particles and flakes. The density of the plurality of nanofillers is such that the nanocomposite exhibits conductivity suitable for electronic and sensor applications.

Abstract: Embodiments relate to traffic impact prediction in a transportation network. Link level background traffic demand in a transportation network may be estimated based on information about available routes, and based on expected background traffic volumes between origins and destinations. A background traffic flow model that optimizes a background flow of the expected background traffic volumes among the available routes to minimize a sum of background congestion costs, background path entropy, and errors between an observed background traffic flow and the optimized background flow may be applied. Alternative routes may be identified based on the available routes and event based control plans. Expected additional event based traffic volumes may be received. A link level total traffic demand in the transportation network may be estimated based on the expected additional event based traffic volumes, the identified alternative routes, and the estimated background traffic demand.

Abstract: Embodiments relate to traffic control resource planning. An aspect includes receiving information about available routes in a transportation network and receiving an estimate of a traffic demand in the transportation network. Traffic control planning is performed and it may include: simulating a traffic flow based on the available routes and the traffic demand; applying a model that varies traffic control agent (TCA) placement and traffic signal settings in the transportation network to minimize a cost associated with the traffic flow, the cost including a TCA deployment cost and a traffic delay cost; and outputting a traffic control plan based on the applying, the traffic control plan including a TCA placement and traffic signal setting plan.

Abstract: Embodiments relate to traffic control resource planning. An aspect includes receiving information about available routes in a transportation network and receiving an estimate of a traffic demand in the transportation network. Traffic control planning is performed and it may include: simulating a traffic flow based on the available routes and the traffic demand; applying a model that varies traffic control agent (TCA) placement and traffic signal settings in the transportation network to minimize a cost associated with the traffic flow, the cost including a TCA deployment cost and a traffic delay cost; and outputting a traffic control plan based on the applying, the traffic control plan including a TCA placement and traffic signal setting plan.

Abstract: Embodiments relate to traffic impact prediction in a transportation network. Link level background traffic demand in a transportation network may be estimated based on information about available routes, and based on expected background traffic volumes between origins and destinations. A background traffic flow model that optimizes a background flow of the expected background traffic volumes among the available routes to minimize a sum of background congestion costs, background path entropy, and errors between an observed background traffic flow and the optimized background flow may be applied. Alternative routes may be identified based on the available routes and event based control plans. Expected additional event based traffic volumes may be received. A link level total traffic demand in the transportation network may be estimated based on the expected additional event based traffic volumes, the identified alternative routes, and the estimated background traffic demand.

Abstract: Embodiments relate to traffic impact prediction in a transportation network. Link level background traffic demand in a transportation network may be estimated based on information about available routes, and based on expected background traffic volumes between origins and destinations. A background traffic flow model that optimizes a background flow of the expected background traffic volumes among the available routes to minimize a sum of background congestion costs, background path entropy, and errors between an observed background traffic flow and the optimized background flow may be applied. Alternative routes may be identified based on the available routes and event based control plans. Expected additional event based traffic volumes may be received. A link level total traffic demand in the transportation network may be estimated based on the expected additional event based traffic volumes, the identified alternative routes, and the estimated background traffic demand.

Abstract: A system for assessing the flow of a fluid. The system can include a light source, a fiber-optic system optically coupled to the light source, which is arranged to provide a reference beam and an observation beam, an optical detection system arranged to receive combined light from the reference beam and the observation beam and to provide detection signals, and a data processing system arranged to communicate with the optical detection system to receive the detection signals. The data processing system can be configured to use the detection signals to determine a speckle pattern corresponding to the fluid flow, wherein the speckle pattern includes a plurality of lines, and to calculate a correlation between adjacent lines perpendicular to the flow to determine at least one of a rate of the flow and a displacement of the flow.

Abstract: An approach that detects locations of hazardous conditions within an infrastructure is provided. This approach uses satellite imagery, GIS data, automatic image processing, and predictive modeling to determine the location of the hazards automatically, thus optimizing infrastructure management. Specifically, a hazard detection tool provides this capability. The hazard detection tool comprises a detection component configured to: receive visual media containing asset location data about a set of physical assets, and hazard location data about potential hazards within a vicinity of each of the set of physical assets. The detection component further receives graphical information system (GIS) data containing asset location data about each of the set of physical assets.

Abstract: An approach that detects locations of hazardous conditions within an infrastructure is provided. This approach uses satellite imagery, GIS data, automatic image processing, and predictive modeling to determine the location of the hazards automatically, thus optimizing infrastructure management. Specifically, a hazard detection tool provides this capability. The hazard detection tool comprises a detection component configured to: receive visual media containing asset location data about a set of physical assets, and hazard location data about potential hazards within a vicinity of each of the set of physical assets. The detection component further receives graphical information system (GIS) data containing asset location data about each of the set of physical assets.

Abstract: A method for calibrating a Fourier domain optical coherence tomography system includes receiving spectral data from an optical detector comprising a linear array of detector elements, each detector element having a position labeled n, wherein detected light was wavelength-dispersed across the linear array of detector elements; determining parameters of a preselected functional relationship between wave number, kn, corresponding to detector element n as a function of optical detector element n based on the spectral data; further receiving subsequent spectral data subsequent to the first-mentioned receiving, wherein detected light was wavelength-dispersed across the linear array of detector elements; converting the subsequent spectral data using the preselected functional relationship between wave number kn and optical detector element n to obtain converted spectral data; and performing an inverse Fourier transform of the converted spectral data to obtain a depth profile.

Abstract: A network element (NE) comprising a memory configured to store a digest log for a conference, a receiver configured to receive a first message from a first of a plurality of participants associated with the NE, wherein the first message comprises a signature profile of the first participant, a processor coupled to the receiver and the memory and configured to track a state of the conference by performing a first update of the digest log according to the first message, and a transmitter coupled to the processor and configured to send a second message to a first of a plurality of service proxies that serve the conference, wherein the second messages indicate the updated digest log.

Abstract: A network element (NE) comprising a memory configured to store a digest log for a conference, a receiver coupled to the memory and configured to receive a first message from a first of a plurality of service proxies of the conference, wherein the first message comprises a signature profile of a first of a plurality of participants of the conference associated with the first service proxy, a processor coupled to the receiver and the memory and configured to track a state of the conference by updating the digest log according to the first message, and a transmitter coupled to the processor and configured to send a plurality of second messages to indicate the digest log update to the service proxies without a transmission request from the service proxies.

Abstract: A system, method and computer program product for mining a rule including spatial information and non-spatial information by using a SAR (Spatial Association Rule) mining tool. The computing system is configured to construct an expanded spatial predicate transaction table for reference spatial objects and a generalized taxonomy for task-relevant spatial objects. The computing system is configured to run the SAR mining tool with the constructed expanded spatial predicate transaction and the generalized taxonomy. The computing system outputs, from the SAR mining tool, a set of generalized spatial association rules for the reference spatial objects. The generalized spatial association rule includes the spatial information and non-spatial information, associated with both the reference spatial objects and the task-relevant spatial objects.