Abstract: A computing device comprising a secure browser extension for a web browser monitors for satisfaction of one or more operating conditions to identify whether one or more unauthorized applications are installed on the computing device. Based on satisfaction of at least one operating condition, the secure browser extension of the computing device sends an HTTP request to a known service via the web browser. The secure browser extension receives a response to the HTTP request via the web browser. The secure browser extension determines whether the received response is an HTTP response (e.g., from an unauthorized application) or a non-HTTP response (e.g., from the known service). Based on determining the received response is an HTTP response, the secure browser extension terminates the web browser session and generates a notification for display at the computing device that indicates web browser communications are compromised.

Abstract: Systems for enhanced protection or security using eye movement tracking are provided. In some examples, a user may launch an application on a user device. If enhanced protections apply to the application, an image of a user eye may be captured and compared to pre-stored data to ensure the user is a registered user. Additional eye movement data may be captured and analyzed. Analyzing the eye movement data may include detecting a look-away by a user. If a look-away is detected, the application may be closed, data within the application may be obscured, or the like. Eye movement data may also be analyzed to identify portions of an application the user viewed for more than a threshold time period, less than a threshold time period, and the like. This data may be analyzed (e.g., using machine learning) to generate one or more heat maps.

Abstract: Systems for enhanced protection or security using eye movement tracking are provided. In some examples, a user may launch an application on a user device. If enhanced protections apply to the application, an image of a user eye may be captured and compared to pre-stored data to ensure the user is a registered user. Additional eye movement data may be captured and analyzed. Analyzing the eye movement data may include detecting a look-away by a user. If a look-away is detected, the application may be closed, data within the application may be obscured, or the like. Eye movement data may also be analyzed to identify portions of an application the user viewed for more than a threshold time period, less than a threshold time period, and the like. This data may be analyzed (e.g., using machine learning) to generate one or more heat maps.

Abstract: A Position and Orientation Measurement Engine (POME) is a mobile camera system that can be used for accurate indoor measurement (e.g., at a construction site). The POME uses a plurality of cameras to acquire images of a plurality of targets. If locations of the plurality of targets are precisely known, images of the targets can be used to determine a position of the POME in relation to the plurality of targets. However, to precisely determine locations of the plurality of targets can be time consuming and/or use expensive equipment. This disclosure discusses how to use a camera system with an electronic distance measuring unit to determine locations of the plurality of targets.

Abstract: A Position and Orientation Measurement Engine (POME) is a mobile camera system that can be used for accurate indoor measurement (e.g., at a construction site). The POME uses a plurality of cameras to acquire images of a plurality of targets. If locations of the plurality of targets are precisely known, images of the targets can be used to determine a position of the POME in relation to the plurality of targets. However, to precisely determine locations of the plurality of targets can be time consuming and/or use expensive equipment. This disclosure discusses how to use a camera system with an electronic distance measuring unit to determine locations of the plurality of targets.

Abstract: A system of super-resolution full-field optical metrology for delivering information on the surface topography of a sample or object on the far-field nanometre scale, including a light source, an interferometer (1a, 1b, 1c, 1d) including a reference arm incorporating a micro bead and a mirror, an object arm including a micro bead similar to the micro bead and arranged in immediate proximity to the surface of the object, receiving structure for capturing the interference figures, and a processor for processing these interference figures in such a way as to produce surface topography information. The light source is temporally coherent or partially coherent. The interferometer and the processor for processing interference figures are designed to reconstruct the surface of the object by phase shifting interferometry.

Abstract: A system and method for remediating and redeploying out of compliance applications and cloud services uses integrated vulnerability information. The system and method may use Conda packages and compliance reports to perform the monitoring, remediation and redeployment.

Abstract: An integrated stratigraphic method for determining total organic carbon (TOC) in a rock formation is provided, The method includes performing a geochemical analysis method to create a geochemical dataset; performing a chronostratigraphic method to create a chronostratigraphic dataset; performing a graphic correlation of the chronostratigaphic dataset from at least one location in the rock formation; determining a sequence stratigraphic model based on the graphic correlation; and generating a palaeogeographic reconstruction at one or more time periods by integrating the sequence stratigraphic model with the geochemical dataset to construct a predictive depositional model and determine a location and areal extent of total organic carbon within the rock formation.

Abstract: An integrated stratigraphic method for determining total organic carbon (TOC) in a rock formation is provided, The method includes performing a geochemical analysis method to create a geochemical dataset; performing a chronostratigraphic method to create a chronostratigraphic dataset; performing a graphic correlation of the chronostratigaphic dataset from at least one location in the rock formation; determining a sequence stratigraphic model based on the graphic correlation; and generating a palaeogeographic reconstruction at one or more time periods by integrating the sequence stratigraphic model with the geochemical dataset to construct a predictive depositional model and determine a location and areal extent of total organic carbon within the rock formation,

Abstract: A firmware update system is described that collectively handles secure firmware updates for hardware resources in a defined and consistent manner. The firmware update system may be configured to manage at least some firmware updates in a pre-boot environment (e.g., before an operating system is loaded). By doing so, the firmware update system exercises control over the updates and reduce entry points exposed to attackers. In one approach, update states are defined for hardware resources that are managed by the firmware update system. In a pre-boot environment, the update states for the managed hardware resources are set to enable firmware updates. The firmware update system may then detect and apply firmware updates available for the managed hardware resources. Update states may be set to disable before loading the operating so that firmware updates for managed resources are disabled outside of the secure pre-boot environment.

Abstract: A firmware update system is described that collectively handles secure firmware updates for hardware resources in a defined and consistent manner. The firmware update system may be configured to manage at least some firmware updates in a pre-boot environment (e.g., before an operating system is loaded). By doing so, the firmware update system exercises control over the updates and reduce entry points exposed to attackers. In one approach, update states are defined for hardware resources that are managed by the firmware update system. In a pre-boot environment, the update states for the managed hardware resources are set to enable firmware updates. The firmware update system may then detect and apply firmware updates available for the managed hardware resources. Update states may be set to disable before loading the operating so that firmware updates for managed resources are disabled outside of the secure pre-boot environment.

Abstract: A vehicle fault diagnosis and prognosis system includes a computing platform configured to receive a classifier from a remote server, the computing platform tangibly embodying computer-executable instructions for evaluating data sequences received from a vehicle control network and applying the classifier to the data sequences, wherein the classifier is configured to determine if the data sequences define a pattern that is associated with a particular fault.

Abstract: A firmware update system is described that collectively handles secure firmware updates for hardware resources in a defined and consistent manner. The firmware update system may be configured to manage at least some firmware updates in a pre-boot environment (e.g., before an operating system is loaded). By doing so, the firmware update system exercises control over the updates and reduce entry points exposed to attackers. In one approach, update states are defined for hardware resources that are managed by the firmware update system. In a pre-boot environment, the update states for the managed hardware resources are set to enable firmware updates. The firmware update system may then detect and apply firmware updates available for the managed hardware resources. Update states may be set to disable before loading the operating so that firmware updates for managed resources are disabled outside of the secure pre-boot environment.

Abstract: A firmware update system is described that collectively handles secure firmware updates for hardware resources in a defined and consistent manner. The firmware update system may be configured to manage at least some firmware updates in a pre-boot environment (e.g., before an operating system is loaded). By doing so, the firmware update system exercises control over the updates and reduce entry points exposed to attackers. In one approach, update states are defined for hardware resources that are managed by the firmware update system. In a pre-boot environment, the update states for the managed hardware resources are set to enable firmware updates. The firmware update system may then detect and apply firmware updates available for the managed hardware resources. Update states may be set to disable before loading the operating so that firmware updates for managed resources are disabled outside of the secure pre-boot environment.

Abstract: In response to entering a secure mode a processor disables access to first predetermined processor information through a sideband interface, while maintaining access to second predetermined processor information through the sideband interface. In the processor, a first interface portion of the sideband interface may provide access to the first predetermined processor information and a second interface portion of the sideband interface may provide access to the second predetermined processor information. The first interface portion is enabled in response to a power-on sequence and is selectably enabled under software control after being disabled on entering the secure mode. The second and additional interface portions may provide access to information related to processor temperature, power management, or machine checks.

Abstract: A system and method for enhancing vehicle diagnostic and prognostic algorithms and improving vehicle maintenance practices. The method includes collecting data from vehicle components, sub-systems and systems, and storing the collected data in a database. The collected and stored data can be from multiple sources for similar vehicles or similar components and can include various types of trouble codes and labor codes as well as other information, such as operational data and physics of failure data, which are fused together. The method generates classes for different vehicle components, sub-systems and systems, and builds feature extractors for each class using data mining techniques of the data stored in the database. The method also generates classifiers that classify the features for each class. The feature extractors and feature classifiers are used to determine when a fault condition has occurred for a vehicle component, sub-system or system.

Abstract: The present invention is concerned with client-side production in a personal computer environment of low bandwidth images and audio. A series of low bandwidth still images along with a “script” and audio data is sent over a network in a client/server architecture or is read from a compact disk or other memory. A “director” module residing in a client personal computer uses the “script” to tell the computer how to execute a sequence of “moves” on the still images. These moves include cuts, dissolves, fades, wipes, focuses, flying planes and digital video effects such as push and pull. Moves within a still image occur in real time, and are relatively smooth and continuous as compared to prior art network video. Low bandwidth is achieved because most of the production is done at the client location without relying upon slow, bandwidth-limited downloading of conventional network video formats.

Abstract: A vehicle fault diagnosis and prognosis system includes a computing platform configured to receive a classifier from a remote server, the computing platform tangibly embodying computer-executable instructions for evaluating data sequences received from a vehicle control network and applying the classifier to the data sequences, wherein the classifier is configured to determine if the data sequences define a pattern that is associated with a particular fault.

Abstract: The invention is directed to an exercise apparatus comprising a resilient hoop, an inner perimeter surface of the hoop forming a circular opening while in a resting position. Coupled to the hoop at a first portion are a first grip and a second grip, each configured to accept one hand of a user, wherein the hoop is deformable to be elliptic when the first and second grips are supported inward from the first portion toward the center of the circular opening, while a second portion of the hoop rests against a user's body.

Abstract: A system and method for enhancing vehicle diagnostic and prognostic algorithms and improving vehicle maintenance practices. The method includes collecting data from vehicle components, sub-systems and systems, and storing the collected data in a database. The collected and stored data can be from multiple sources for similar vehicles or similar components and can include various types of trouble codes and labor codes as well as other information, such as operational data and physics of failure data, which are fused together. The method generates classes for different vehicle components, sub-systems and systems, and builds feature extractors for each class using data mining techniques of the data stored in the database. The method also generates classifiers that classify the features for each class. The feature extractors and feature classifiers are used to determine when a fault condition has occurred for a vehicle component, sub-system or system.