Abstract: A blockage detection system for detecting aircraft probe blockages includes a processor, a communication device, and computer-readable memory. The computer-readable memory encoded with instructions that, when executed by the processor, cause the system to execute a blockage detection algorithm. The processor receives a static pressure and an impact pressure from one or more aircraft probes. The processor converts the static pressure and the impact pressure to a correlating variable, via the blockage detection algorithm. The processor evaluates the correlating variable, via the blockage detection algorithm, to determine if a value of the correlating variable exceeds a threshold indicative of a blockage. The processor outputs a blockage indicator, to a receiving system in response to the correlating variable exceeding the first threshold indicative of a blockage. The processor is further able to determine if the blockage has cleared by reference to an external comparative pressure measurement.

Abstract: An annotation pipeline may be used to produce 2D and/or 3D ground truth data for deep neural networks, such as autonomous or semi-autonomous vehicle perception networks. Initially, sensor data may be captured with different types of sensors and synchronized to align frames of sensor data that represent a similar world state. The aligned frames may be sampled and packaged into a sequence of annotation scenes to be annotated. An annotation project may be decomposed into modular tasks and encoded into a labeling tool, which assigns tasks to labelers and arranges the order of inputs using a wizard that steps through the tasks. During the tasks, each type of sensor data in an annotation scene may be simultaneously presented, and information may be projected across sensor modalities to provide useful contextual information. After all annotation tasks have been completed, the resulting ground truth data may be exported in any suitable format.

Abstract: An annotation pipeline may be used to produce 2D and/or 3D ground truth data for deep neural networks, such as autonomous or semi-autonomous vehicle perception networks. Initially, sensor data may be captured with different types of sensors and synchronized to align frames of sensor data that represent a similar world state. The aligned frames may be sampled and packaged into a sequence of annotation scenes to be annotated. An annotation project may be decomposed into modular tasks and encoded into a labeling tool, which assigns tasks to labelers and arranges the order of inputs using a wizard that steps through the tasks. During the tasks, each type of sensor data in an annotation scene may be simultaneously presented, and information may be projected across sensor modalities to provide useful contextual information. After all annotation tasks have been completed, the resulting ground truth data may be exported in any suitable format.

Abstract: An annotation pipeline may be used to produce 2D and/or 3D ground truth data for deep neural networks, such as autonomous or semi-autonomous vehicle perception networks. Initially, sensor data may be captured with different types of sensors and synchronized to align frames of sensor data that represent a similar world state. The aligned frames may be sampled and packaged into a sequence of annotation scenes to be annotated. An annotation project may be decomposed into modular tasks and encoded into a labeling tool, which assigns tasks to labelers and arranges the order of inputs using a wizard that steps through the tasks. During the tasks, each type of sensor data in an annotation scene may be simultaneously presented, and information may be projected across sensor modalities to provide useful contextual information. After all annotation tasks have been completed, the resulting ground truth data may be exported in any suitable format.

Abstract: In various examples, automatic labeling of sensor representations for machine learning systems and applications. Systems and methods described herein may receive inputs for labeling one or more sensor representations of sensor data that represent objects or features, and then use those labels to automatically label additional sensor representations that also represent the same objects or features. For instance, and for an object, a user interface may include at least a map indicating a trajectory of the object, one or more sensor representations which represent the object, and a timeline indicating a time period for which the object was detected. A user may then use the user interface to label the object, such as with a bounding shape indicating a location of the object and/or with one or more attributes describing the object.

Abstract: A blockage detection system for detecting aircraft probe blockages includes a processor, a communication device, and computer-readable memory. The computer-readable memory encoded with instructions that, when executed by the processor, cause the system to execute a blockage detection algorithm. The processor receives a static pressure and an impact pressure from one or more aircraft probes. The processor converts the static pressure and the impact pressure to a correlating variable, via the blockage detection algorithm. The processor evaluates the correlating variable, via the blockage detection algorithm, to determine if a value of the correlating variable exceeds a threshold indicative of a blockage. The processor outputs a blockage indicator, to a receiving system in response to the correlating variable exceeding the first threshold indicative of a blockage. The processor is further able to determine if the blockage has cleared by reference to an external comparative pressure measurement.

Abstract: An annotation pipeline may be used to produce 2D and/or 3D ground truth data for deep neural networks, such as autonomous or semi-autonomous vehicle perception networks. Initially, sensor data may be captured with different types of sensors and synchronized to align frames of sensor data that represent a similar world state. The aligned frames may be sampled and packaged into a sequence of annotation scenes to be annotated. An annotation project may be decomposed into modular tasks and encoded into a labeling tool, which assigns tasks to labelers and arranges the order of inputs using a wizard that steps through the tasks. During the tasks, each type of sensor data in an annotation scene may be simultaneously presented, and information may be projected across sensor modalities to provide useful contextual information. After all annotation tasks have been completed, the resulting ground truth data may be exported in any suitable format.

Abstract: Surface micro-texturing has been proven an effective way to reduce friction and wear for tribological applications. There is provided a low cost hot sintering method to apply micro-texturing on an advanced bearing polymer material. First, one face of the mold was micro-textured using a micro-casting method. Second, the cured Aromatic Thermosetting coPolyester (ATSP) powder was filled in the mold. Next, the filled mold was placed in a hot press for a hot sintering process. Finally, the textured bulk ATSP was cooled. The micro-textured ATSP bulk material was machined and compared with plain untextured material. The micro-textured material could effectively reduce friction at speeds lower than 2.46 m/s: 14% reduction in average.

Abstract: Surface micro-texturing has been proven an effective way to reduce friction and wear for tribological applications. There is provided a low cost hot sintering method to apply micro-texturing on an advanced bearing polymer material. First, one face of the mold was micro-textured using a micro-casting method. Second, the cured Aromatic Thermosetting coPolyester (ATSP) powder was filled in the mold. Next, the filled mold was placed in a hot press for a hot sintering process. Finally, the textured bulk ATSP was cooled. The micro-textured ATSP bulk material was machined and compared with plain untextured material. The micro-textured material could effectively reduce friction at speeds lower than 2.46 m/s: 14% reduction in average.

Abstract: This patent describes a new, simple, and low-cost method to produce aromatic thermosetting copolyester (ATSP) based polymer matrix composites. For this method, the ATSP based composites are directly produced from the blended mixtures of the ATSP oligomer powders with the composite fillers through a high temperature and high pressure curing process. In addition, the fully cured ATSP composite laminates can be bonded together to form thicker multi-material composites. The characterization showed that these ATSP based composites are fully condensed, they have excellent tribological performance (low friction and low wear rate), and they have excellent thermal stability, indicating utility in high performance bearing applications, structural materials, and as an ablative composite material.

Abstract: A novel Aromatic Thermosetting Copolyester (ATSP) fully dense sheets can be processed by recycling the foam structure with unique combination of properties including mechanical strength and high temperature performance (compared to PEEK) to help improve part functionality, gain long-term reliability and cost savings. ATSP machinable plates can be used in valves, fittings, bearing, bushing, seals, aerospace parts and pump components.

Abstract: A novel Aromatic Thermosetting Copolyester (ATSP) fully dense sheets can be processed by recycling the foam structure with unique combination of properties including mechanical strength and high temperature performance (compared to PEEK) to help improve part functionality, gain long-term reliability and cost savings. ATSP machinable plates can be used in valves, fittings, bearing, bushing, seals, aerospace parts and pump components.

Abstract: A materials trouble shooter is provided for use with 3D models in computer graphics. An error texture is displayed that is distinguishable from textures without errors. If a texture is missing or is applied incorrectly to the 3D model, an error texture is displayed using an error shader instead of a regular shader for the texture for which an error in loading or application has been detected.

Abstract: A novel Aromatic Thermosetting Copolyester (ATSP) can be processed into highly effective wear resistant coatings by blending with polytetrafluorethylene (PTFE) and other additives. Surface treatments/coatings are key to improving wear performance and durability in a wide array of applications. The problems associated with use of liquid lubricants, hard/soft coatings are well known but only modest progress has been achieved due to lack of research on new material systems. These coatings were fabricated and tested as highly effective wear resistant coatings by blending ATSP with PTFE and other tribologically beneficial additives. The main advantages of these polymeric-based coatings are their relatively low cost and simple substrate surface conditioning (i.e., no need for expensive surface preparation before coating).

Abstract: A novel Aromatic Thermosetting Copolyester (ATSP) can be processed into highly effective wear resistant coatings by blending with polytetrafluorethylene (PTFE) and other additives. Surface treatments/coatings are key to improving wear performance and durability in a wide array of applications. The problems associated with use of liquid lubricants, hard/soft coatings are well known but only modest progress has been achieved due to lack of research on new material systems. These coatings were fabricated and tested as highly effective wear resistant coatings by blending ATSP with PTFE and other tribologically beneficial additives. The main advantages of these polymeric-based coatings are their relatively low cost and simple substrate surface conditioning (i.e., no need for expensive surface preparation before coating).

Abstract: Interrelated items in a complex item set (such as a set of components in a complex software architecture) may be difficult to present in a manner that facilitates an understanding and evaluation of the item set, due to the amount of information and the difficulty in automatically discerning the organization of the item set. A set of criteria may be utilized to form criterion groups to which items matching respective criteria may be automatically assigned. Further grouping assignments may be achieved by identifying an ungrouped item that is associated with a grouped item. Such techniques may be applied in many variations to yield a representation of the item set, and a presentation of the item set to a user, that aggregates similar items and interrelationships, thereby promoting an understanding and analysis of the structure and organization of the item set while reducing the user involvement in the generation of same.

Abstract: A novel Aromatic Thermosetting Copolyester (ATSP) can be processed into highly effective wear resistant coatings by blending with polytetrafluorethylene (PTFE) and other additives. Surface treatments/coatings are key to improving wear performance and durability in a wide array of applications. The problems associated with use of liquid lubricants, hard/soft coatings are well known but only modest progress has been achieved due to lack of research on new material systems. These coatings were fabricated and tested as highly effective wear resistant coatings by blending ATSP with PTFE and other tribologically beneficial additives. The main advantages of these polymeric-based coatings are their relatively low cost and simple substrate surface conditioning (i.e., no need for expensive surface preparation before coating).

Abstract: A materials trouble shooter is provided for use with 3D models in computer graphics. An error texture is displayed that is distinguishable from textures without errors. If a texture is missing or is applied incorrectly to the 3D model, an error texture is displayed using an error shader instead of a regular shader for the texture for which an error in loading or application has been detected.

Abstract: Interrelated items in a complex item set (such as a set of components in a complex software architecture) may be difficult to present in a manner that facilitates an understanding and evaluation of the item set, due to the amount of information and the difficulty in automatically discerning the organization of the item set. A set of criteria may be utilized to form criterion groups to which items matching respective criteria may be automatically assigned. Further grouping assignments may be achieved by identifying an ungrouped item that is associated with a grouped item. Such techniques may be applied in many variations to yield a representation of the item set, and a presentation of the item set to a user, that aggregates similar items and interrelationships, thereby promoting an understanding and analysis of the structure and organization of the item set while reducing the user involvement in the generation of same.

Abstract: Software architectures may include many types of elements, such as classes, functions, databases, queries, and users. An architecture may be the subject of many types of analysis, such as discovery of architecture features and design choices, rendering according to (e.g.) a visual layout or as a hierarchical data set, validation and testing of a chosen design, and evaluation by systems analysis tools. However, the information documenting the software architecture is often organized in a disjointed manner, such as in a set of release documentation, inline comments in source code, notes recorded in version control systems, and contact databases. Instead, the software architecture may be represented as a set of nodes of various node categories interconnected by links of different types. The representation may then be utilized in many types of analysis, such as visualization, transformation, and element analysis by complex systems analysis tools.