Abstract: Object annotation is images is tedious time consuming task when large volume of data needs to annotated. Existing methods limit to semiautomatic approaches for annotation. The embodiments herein provide a method and system for a deep network based architecture for automatic object annotation. The deep network utilized is a two stage network with first stage as an annotation model comprising a Faster Region-based Fully Convolutional Networks (F-RCNN) and Region-based Fully Convolutional Networks (RFCN) providing for two class classification to generate annotated images from a set of single object test images. Further, the newly annotated test object images are then used to synthetically generate cluttered images and their corresponding annotations, which are used to train the second stage of the deep network comprising the multi-class object detection/classification model designed using the F-RCNN and the RFCN as base networks to automatically annotate input test image in real time.

Abstract: Systems and methods are described for positioning a Low Altitude Platform Station (LAPS) based drone cells for supporting communication in a 3GPP network. The methods may include receiving at least one feedback parameter from a UE pertaining to a current network traffic flow and mobility with respect of the UE. The UE is selected for an aerial network through a drone base station (DBS) cell based on service requirement determined from the feedback parameter. Further, a position for at least one DBS-cell is determined with respect to the at least one selected UE based on the at least one parameter to serve the selected UE. An aerial-communication link is established between the selected UE and the DBS cell by deploying one or more LAPS as a drone base station (DBS) in accordance with the determined position of DBS-cell to thereby augment a network connectivity of the selected UE.

Abstract: An apparatus is configured to collect information related to a first activity and analyze the collected information to determine decision data. The information is stored in a first list of the source processing core for scheduling execution of the activity by a destination processing core to avoid cache misses. The source processing core is configured to transmit information related to the decision data using an interrupt, to a second list associated with a scheduler of the destination processing core, if the destination processing core is currently executing a second activity having a lower priority than the first activity.

Abstract: Embodiments of the present disclosure are directed to coated glass articles which reduce glass particle formation caused by glass to glass contact in pharmaceutical glass filling lines.

Abstract: An ultrasound scanning guidance method includes acquiring an image by an ultrasound probe of a target organ during an ultrasound scanning procedure. The acquired image corresponds to a pose of the target organ in an acquired scan plane. The method further includes processing the image by a guidance unit to determine an anatomical context around the target organ based on the acquired image. The processing the image also includes determining a relative location of the acquired scan plane with reference to a standard scan plane based on the pose of the target organ and the anatomical context. The processing further includes generating scanning guidance based on the relative location of the acquired scan plane. The scanning guidance includes information to move the probe towards a standard pose of the target organ. The method also includes presenting the scanning guidance by an output device for aiding continuance of the scanning procedure.

Abstract: Disclosed herein are delamination resistant glass pharmaceutical containers which may include an aluminosilicate glass having a Class HGA 1 hydrolytic resistance when tested according to ISO 720-1985 testing standard. The glass containers may also have a compressive stress layer with a depth of layer of greater than 25 ?m. A surface compressive stress of the glass containers may be greater than or equal to 350 MPa. The delamination resistant glass pharmaceutical containers may be ion exchange strengthened and the ion exchange strengthening may include treating the delamination resistant glass pharmaceutical container in a molten salt bath for a time less than or equal to 5 hours at a temperature less than or equal to 450° C.

Abstract: According to embodiments, a method of making a coated pharmaceutical container, may include: forming a glass tube; forming the glass tube into a pharmaceutical container comprising an interior surface and an exterior surface; and applying a coating to the exterior surface. The coating may have a coefficient of friction less than or equal to 0.7 relative to a second pharmaceutical container when tested in a vial-on-vial testing jig under a normal load of 30 N. The coated pharmaceutical container may be thermally stable after depyrogenation at a temperature of at least 260° C. for 30 minutes in air.

Abstract: Systems and methods are described for positioning a Low Altitude Platform Station (LAPS) based drone cells for supporting communication in a 3GPP network. The methods may include receiving at least one feedback parameter from a UE pertaining to a current network traffic flow and mobility with respect of the UE. The UE is selected for an aerial network through a drone base station (DBS) cell based on service requirement determined from the feedback parameter. Further, a position for at least one DBS-cell is determined with respect to the at least one selected UE based on the at least one parameter to serve the selected UE. An aerial-communication link is established between the selected UE and the DBS cell by deploying one or more LAPS as a drone base station (DBS) in accordance with the determined position of DBS-cell to thereby augment a network connectivity of the selected UE.

Abstract: Embodiments of the present disclosure are directed to coated glass articles which reduce glass particle formation caused by glass to glass contact in pharmaceutical glass filling lines.

Abstract: Object annotation is images is tedious time consuming task when large volume of data needs to annotated. Existing methods limit to semiautomatic approaches for annotation. The embodiments herein provide a method and system for a deep network based architecture for automatic object annotation. The deep network utilized is a two stage network with first stage as an annotation model comprising a Faster Region-based Fully Convolutional Networks (F-RCNN) and Region-based Fully Convolutional Networks (RFCN) providing for two class classification to generate annotated images from a set of single object test images. Further, the newly annotated test object images are then used to synthetically generate cluttered images and their corresponding annotations, which are used to train the second stage of the deep network comprising the multi-class object detection/classification model designed using the F-RCNN and the RFCN as base networks to automatically annotate input test image in real time.

Abstract: The present disclosure includes systems and a methods for ingestion and processing of data in large volumes and varied data models. The system consists of a data intake adapter, tagging service, relation service, query service, persistence service and physical storage medium. The data intake adapters are implemented to support required data formats and models. The invention includes a method enabling assignments of tags to any data element that can be referenced in the system, including in some embodiments tables, rows, columns, data points, nodes, vectors, lists or other types. The invention further includes a method of data representation for tags data using hash tree data structures. The disclosure also includes a relations mechanism and service that is capable of defining relations between data elements. The disclosed system includes also a query service that leverages the internal data structures to provide efficient lookup and retrieval methods supporting vast range of analytical use cases.

Abstract: A system and method for simulating an ultrasound scanning session is provided. The method includes acquiring an image of at least a portion of a simulated scan surface by a camera. A probe simulator having a visually coded pattern is maneuvered on the simulated scan surface. The method includes analyzing the acquired image to identify the visually coded pattern of the probe simulator maneuvered on the simulated scan surface. The method includes determining a position and orientation of the probe simulator based on the visually coded pattern identified in the acquired image. The method includes estimating a scan plane based at least in part on the determined position and orientation of the probe simulator. The method includes retrieving an ultrasound image from storage. The ultrasound image corresponds with the estimated scan plane. The method includes presenting the retrieved ultrasound image at a display system.

Abstract: A feature-based item similarity and forecasting system is provided. An exemplary item forecasting system can include: a processor; and a computer-readable non-transitory storage medium memory storing computer executable instructions, the instructions operable to cause the processor to execute: a shape characteristics based classification module programmed to: acquire a plurality of time series datasets, generate a plurality of first datasets comprising shape and effect features, and generate a plurality of second datasets with shape labels, wherein the items in the second datasets are classified into clusters and wherein each cluster shares a shape label; and a forecasting module programmed to: run a plurality of candidate forecasting models on each shape label, select a best forecasting model with a lowest average forecast error for each shape label, and assign the best forecasting model to each item in the cluster sharing the shape label for an item prediction.

Abstract: A method and system for managing online charging sessions is provided. The method includes: establishing a subscriber data session on a network; establishing a connection with an initial online charging system; detecting a condition change in the subscriber data session; determining whether the condition change is associated with a change in the online charging system; if the condition change is associated with a change in the online charging system, determining a new online charging system; terminating the connection to the initial online charging system while maintaining the subscriber data session; and establishing a connection with the new online charging system; otherwise continuing the session with the initial online charging system. The system includes a control plane engine and is operatively connected to a policy charging enforcement function.

Abstract: Disclosed are alkali aluminosilicate glasses having unexpected resistance to indentation cracking. The glasses obtain this high resistance as a result of a high level of surface compression accompanied by a shallow depth of layer. The advantaged glasses show greater resistance to radial crack formation from Vickers indentation than glasses with the same compressive stress, but higher depths of layer.

Abstract: A method for ultrasound imaging is presented. The method includes acquiring at least one image of a subject, determining a current position of an ultrasound probe on a body surface of the subject based on the image, identifying anatomical regions of interest in the image, quantifying the image to determine suitability of the image to one or more scan planes corresponding to a clinical protocol, generating a personalized anatomical model of the subject based on a current position of the ultrasound probe, the identified anatomical regions of interest, and the quantification of the image, computing a desired trajectory of the ultrasound probe from the current location to a target location based on the clinical protocol, communicating a desired movement of the ultrasound probe based on the computed trajectory, moving the ultrasound probe along the computed trajectory based on the communicated desired movement to acquire images of the subject.

Abstract: A system includes a memory unit comprising a classifier network and a detector network. The classifier network is configured to perform a classification of a scan image among maternal images. The detector network is configured to determine a placenta condition in the scan image. The system further includes a data acquisition unit communicatively coupled to an ultrasound scanner and configured to receive maternal images from a maternal scanning procedure. The system also includes an image processing unit communicatively coupled to the memory unit and the data acquisition unit and configured to select a sagittal image from the maternal images using the classifier network. The image processing unit is further configured to determine a placenta condition based on the selected sagittal image using the detector network. The image processing unit is also configured to provide a recommendation to a medical professional based on the placenta condition.

Abstract: The present invention relates to an improved process for the preparation of xylene linked cyclam compounds. More particularly the invention provides a process for preparation of high purity plerixafor which does not involve the use of expensive chemicals, hazardous reagents or tedious purification techniques. Invention also provides novel intermediate useful for preparation of desired compound in high purity.

Abstract: One or more aspects of the disclosure pertain to an article including a film disposed on a glass substrate, which may be strengthened, where the interface between the film and the glass substrate is modified, such that the article retains its average flexural strength, and the film retains key functional properties for its application. Some key functional properties of the film include optical, electrical and/or mechanical properties. The bridging of a crack from one of the film or the glass substrate into the other of the film or the glass substrate can be prevented by inserting a crack mitigating layer between the glass substrate and the film.

Abstract: An aerial monitoring system and method for identification and location of object features is disclosed. The aerial monitoring system and method includes training an image processing engine to identify predefined object features in images. Training involves the image processing engine generating a model for identifying predefined object features in images. Identifying the predefined object features includes using a drone outfitted with a drone camera to capture and geotag monitoring images of target objects. The monitoring images are both infrared and non-infrared. The image processing engine applies the model to the monitoring images to determine whether the monitoring images include object features that fit within one of multiple categories. The image processing engine uses a fuzzy clustering process to group objects into cluster locations. The image processing system outputs the identification and location of the object features. The output is used for maintenance planning related to the objects.