Abstract: A system and method for generating an optimized online garment creation platform is provided. Multiple fabric pieces data are rendered via a user interface (UI) on user device. Fabric pieces data are tagged on UI based on a circulatory score. Size of garment type is tagged on UI using tagged fabric piece data for designing a garment via UI. Garment types are rendered in template form on UI. The garment type templates are tagged on UI. Tagged garment type template is split into fixed number of panels. Images in panels of garment type template are optimally embedded. A pixel per distance metric of edited region of the image is computed for determining size of edited region of image. Edited region of image is added as a swatch in the garment type template. The panels of the garment type template are tagged for embedding with edited images.

Abstract: A beverage operations control system of an establishment such as a bar communicates with numerous wireless beverage control devices that monitor and control the pouring of beverages. The system provides monitoring and predictive analysis based on the monitoring, including real-time modifications to the operations of the beverage control devices.

Abstract: A radar sensing system includes a plurality of transmitters configured to transmit radio signals and a plurality of receivers configured to receive radio signals. First and second transmitters of the plurality of transmitters are configured to generate radio signals defined by first and second spreading code chip sequences, respectively. A first receiver of the plurality of receivers processes received radio signals as defined by a plurality of spreading code chip sequences that includes at least the first and second spreading code chip sequences. The radar sensing system also includes a code generator for generating the spreading code chip sequences.

Abstract: A computer-implemented method for surface modeling includes: receiving one or more polarization raw frames of a surface of a physical object, the polarization raw frames being captured with a polarizing filter at different linear polarization angles; extracting one or more first tensors in one or more polarization representation spaces from the polarization raw frames; and detecting a surface characteristic of the surface of the physical object based on the one or more first tensors in the one or more polarization representation spaces.

Abstract: An embodiment for resource management is provided. The embodiment may include receiving created text of an assigned activity to a proposed assignee. The embodiment may also include identifying information about the assigned activity. The embodiment may further include predicting resources and capabilities required to complete the assigned activity. The embodiment may also include identifying the proposed assignee. The embodiment may further include analyzing the resources and capabilities available on one or more devices of the proposed assignee. The embodiment may also include in response to determining the proposed assignee is able to complete the assigned activity, displaying to an assignor a predicted start time and time of completion of the assigned activity and in response to determining the proposed assignee is unable to complete the assigned activity, recommending to the assignor another assignee that is able to complete the assigned activity.

Abstract: A multi-modal sensor system includes: an underlying sensor system; a polarization camera system configured to capture polarization raw frames corresponding to a plurality of different polarization states; and a processing system including a processor and memory, the processing system being configured to control the underlying sensor system and the polarization camera system, the memory storing instructions that, when executed by the processor, cause the processor to: control the underlying sensor system to perform sensing on a scene and the polarization camera system to capture a plurality of polarization raw frames of the scene; extract first tensors in polarization representation spaces based on the plurality of polarization raw frames; and compute a characterization output based on an output of the underlying sensor system and the first tensors in polarization representation spaces.

Abstract: A beverage operations control system of an establishment such as a bar communicates with numerous wireless beverage control devices that monitor and control the pouring of beverages. The system provides monitoring and predictive analysis based on the monitoring, including real-time modifications to the operations of the beverage control devices.

Abstract: Methods and systems for managing the operation of host devices is disclosed. A host device may include a computing device that operates in accordance with operation data. The operation data may include, for example, startup data such as code for a management entity (e.g., a basic input output system), settings (e.g., hardware and/or software) for the startup management entity, setting for general operation after booting to an operating system, copies of code (e.g., computer instructions executable with a processor) for applications to be executed by the host device, etc. If the operation data is modified, operation of the host device may be similarly modified.

Abstract: A system and a method for improved generation of 3D avatars for virtual try-on of garments is provided. Inputs from a first user type are received, via a first input unit, for generating one or more garment types in a graphical format. Further, a 3D avatar of a second user type is generated in a semi-automatic manner or an automatic manner based on capturing a first input type or a second input type respectively received via a second input unit. The first input type comprises measurements of body specifications of the second user type and the second input type comprises body images of the second user type. Further, the generated garments are rendered on the generated 3D avatar of the second user type for carrying out a virtual try-on operation.

Abstract: An integrated front-of-house and back-of-house restaurant operations system integrates automated and manual restaurant operations into an order-based system. The system interfaces with disparate devices and systems to provide order-based monitoring and control of operations within an establishment.

Abstract: Each of the plurality of stations connected to the access point can be profiled to determine device type, and determine a listen interval for each of the plurality of stations based on the device prioritization model based on DTIM periods of the plurality of stations. Delivery of multicast packets is prioritized from the enterprise network destined for a low power device multicast group on the Wi-Fi network and to prioritize delivery of unicast packets for low power device multicast group. The messages are transmitted to the stations over the Wi-Fi network according to the assigned listen interval.

Abstract: Visual target tracking is task of locating a target in consecutive frame of a video. Conventional systems observe target behavior frames of the video. However, dealing with this problem is very challenging when video has illumination variations, occlusion, change in size and view of the object due to relative motion between camera and object. Embodiments of the present disclosure addresses this problem by implementing Neural Network (NN), its features and their corresponding gradients. Present disclosure explicitly guides the NN by feeding target object of interest (ToI) defined by a bounding box in the first frame of the video. With this guidance, NN generates target activation map via convolutional features map and their gradient maps, thus giving tentative location of the ToI to further exploit to locate target object precisely by using correlation filter(s) and peak location estimator, thus repeating process for every frame of video to track ToI accurately.

Abstract: Each of the plurality of stations connected to the access point can be profiled to determine device type, and determine a listen interval for each of the plurality of stations based on the device prioritization model based on DTIM periods of the plurality of stations. Delivery of multicast packets is prioritized from the enterprise network destined for a low power device multicast group on the Wi-Fi network and to prioritize delivery of unicast packets for low power device multicast group. The messages are transmitted to the stations over the Wi-Fi network according to the assigned listen interval.

Abstract: A method of operating a dual reverse osmosis/pressure retarded osmosis plant, including when electricity costs less than a first predetermined price, moderate salinity water is pumped into the first portion of a pressure vessel having first and second portions separated by a water permeable/salt impermeable osmotic membrane to yield desalinated permeate in the second portion and brine in the first portion. Further, when electricity costs greater than the first predetermined price, low salinity water is pumped into the second portion and brine is pumped into the first portion to yield pressurized moderate salinity water in the second portion which is run through an energy recovery device to generate electricity. The salinity of the low salinity water is lower than the salinity of the moderate salinity water, and the salinity of the moderate salinity water is lower than the salinity of the brine.

Abstract: A multi-modal sensor system includes: an underlying sensor system; a polarization camera system configured to capture polarization raw frames corresponding to a plurality of different polarization states; and a processing system including a processor and memory, the processing system being configured to control the underlying sensor system and the polarization camera system, the memory storing instructions that, when executed by the processor, cause the processor to: control the underlying sensor system to perform sensing on a scene and the polarization camera system to capture a plurality of polarization raw frames of the scene; extract first tensors in polarization representation spaces based on the plurality of polarization raw frames; and compute a characterization output based on an output of the underlying sensor system and the first tensors in polarization representation spaces.

Abstract: An integrated front-of-house and back-of-house restaurant operations system integrates automated and manual restaurant operations into an order-based system. The system interfaces with disparate devices and systems to provide order-based monitoring and control of operations within an establishment.

Abstract: A MSIM UE may perform network operations for each network subscription. However, if the MSIM UE employs subscriptions for the same network, these operations may be performed redundantly. By notifying the network of multiple subscriptions at the UE and associating the multiple subscriptions at the network, the present invention provides power-saving at the UE and reduces network signaling overhead by optimizing communication for MSIM UE. In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be configured to indicate to a network that the UE is associated with a plurality of network subscriptions, the plurality of network subscriptions including at least a first network subscription and a second network subscription, transmit location information using the first network subscription to the network, wherein the location information corresponds to a UE location, and receive data associated with the second subscription from the network.

Abstract: A method of performing surface profilometry includes receiving one or more polarization raw frames of a printed layer of a physical object undergoing additive manufacturing, the one or more polarization raw frames being captured at different polarizations by one or more polarization cameras, extracting one or more polarization feature maps in one or more polarization representation spaces from the one or more polarization raw frames, obtaining a coarse layer depth map of the printed layer, generating one or more surface-normal images based on the coarse layer depth map and the one or more polarization feature maps, and generating a 3D reconstruction of the printed layer based on the one or more surface-normal images.

Abstract: A high-dimensional variable selection unit determines a list of critical parameters from sensor data and parametric tool measurements from a semiconductor manufacturing tool, such as a semiconductor inspection tool or other types of semiconductor manufacturing tools. The high-dimensional variable selection model can be, for example, elastic net, forward-stagewise regression, or least angle regression. The list of critical parameters may be used to design a next generation semiconductor manufacturing tool, to bring the semiconductor manufacturing tool back to a normal status, to match a semiconductor manufacturing tool's results with that of another semiconductor manufacturing tool, or to develop a specification for the semiconductor manufacturing tool.

Abstract: A MSIM UE may perform various network operations for each network subscription. However, if the MSIM UE employs subscriptions for different network operators, the UE may need to periodically tune away for an active data transmission. Such tune-away may cause the UE to miss scheduled communications from the network. Aspects of the present invention are directed to a mechanism by which a UE can notify a base station of the MSIM state, and thereby allow the network to improve scheduling for the UE to allow for periodic tune-away by the UE with minimal impact on scheduled communications. In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may by a UE, such as MSIM UE. The apparatus may be configured to determine that the UE is associated with one or more network subscriptions, and transmit a subscription indication to a network device, wherein the subscription indication identifies a subscription state of the UE to the network.