Abstract: The present invention provides a system and methods for filtering fluid using filter papers, stationary paper, cloth sheets or any other porous material. In one embodiment, the present invention uses the lateral flow direction along the porous sheets, instead of conventional vertical flow direction, for the removal of bacteria and particle contamination in the range from nanometers to millimeters. The pore sizes in the filter media along the lateral direction are modulated by controlling the compression of the porous sheets, instead of conventionally designing filters with different pore sizes. The lateral flow fluid filter system is scalable simply by increasing the feed area, feed length, and the number of porous sheets. The invention presents a universal fluid filtration system for wide range of applications such as water purification, food processing, chemical industry, oil and gas industry, and biological applications.

Abstract: State-of-the-art object detection algorithms (e.g., EfficientDet, Faster-RCNN, and YOLO) and their variants are integrated into an end-to-end IoT cloud-based system deployment. The system can (1) receive real-time video streaming (RTSP/RTMP/SDP) from most CCTV systems and devices with cameras, (2) extract frames from the video streams, (3) feed the frames to multiple AI models simultaneously, and (4) compute a probability for the presence of fire and/or smoke. Based on custom risk thresholds, the outputs can be compiled programmatically into a video clip that is sent to a user automatically for real-time alerts.

Abstract: Disclosed is a method, performed by an electronic device, for autonomous reconciliation of invoice data. The method comprises obtaining an invoice data set. The method comprises determining, based on the invoice data set and an entity extraction model, an entity extraction set comprising an entity parameter and a first value parameter. The first value parameter is associated with a first confidence score parameter. The method comprises outputting, based on the entity extraction set, an information extraction result for reconciliation of invoice data.

Abstract: An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.

Abstract: Disclosed is a method, performed by an electronic device, for modifying booking data for a shipping system. The method comprises obtaining a text data set. The method comprises determining, based on the text data set and an entity extraction model, a modification set comprising an entity parameter and a first modification parameter. The first modification parameter is associated with a first confidence parameter. The method comprises outputting, based on the modification set, a modification output for modifying the booking.

Abstract: One example method includes copying selected backup data from a secondary storage system to a provisioned primary storage volume, creating a snapshot of the primary storage volume, using the snapshot to create a thin clone volume, masking the thin clone volume, and mounting the thin clone volume, and recovering the backup data from the thin clone volume. The recovered backup data may be made available to a secondary workload that includes an enterprise application.

Abstract: A method provides for receiving network traffic from a host having a host IP address and operating in a data center, and analyzing a malware tracker for IP addresses of hosts having been infected by a malware to yield an analysis. When the analysis indicates that the host IP address has been used to communicate with an external host infected by the malware to yield an indication, the method includes assigning a reputation score, based on the indication, to the host. The method can further include applying a conditional policy associated with using the host based on the reputation score. The reputation score can include a reduced reputation score from a previous reputation score for the host.

Abstract: State of the art Acoustic Models (AM), which are trained using data from one environment, may fail to adapt to another environment, and as a result, application is restricted. The disclosure herein generally relates to speech signal processing, and, more particularly, to a method and system for Automatic Speech Recognition (ASR) using Multi-task Learned Embeddings (MTL). In this approach, MTL embeddings are extracted from an MTL neural network that has been trained using feature vectors from a plurality of speech files. The MTL embeddings are then used for generating an acoustic model, which maybe then used for the purpose of Automatic Speech Recognition, along with the feature vectors and the MTL embeddings.

Abstract: The present disclosure provides methods and compositions of modified oligonucleotide primer and probe combinations, structurally modified with locked nucleic acids, quenchers, and dyes, effective to detect tumor-derived Human Papilloma Virus (HPV) and tumor-derived Epstein-Barr virus (EBV) and, especially, to distinguish viral DNA derived from tumors from viral DNA derived from infectious viral particles.

Abstract: A message queue routing system may be implemented into a message queue gateway to route data to Software component designed and deployed into MQ Gateway to route the data to the MQ cluster. A central processing unit (CPU) node analyzer reads real time health statistics of each of a plurality of MQ cluster processing nodes. Based the computation, the CPU node analyzer routes the message to a specified node of the cluster having a minimum of CPU load at that time. The CPU node analyzer analyzes information comprising at least CPU performance information and system idleness information. Each processing node enables dynamic message routing computations utilizing an artificial intelligence/machine learning framework and a plurality of trained predictive models. The predictive model is trained using a trained data set using text classification.

Abstract: The system comprises a prediction module (1) equipped with artificial intelligence to predict neurological disorders in an individual patient and identify a level of neurological disorders; a central processing unit (2) to detect triggering events and circumstances due to which the neurological disorders trigger in an individual patient upon receiving real-time behavior information data generated by a playing ball (3) of an individual patient and distinguish between a normal behavior and a neurological disorders behavior; an alert module (4) to alert the individual patient upon determining neurological disorders behavior; and an entertainment platform (5) to entertain and engage the individual patient with a specific set of activities assigned according to detected triggering events and circumstances upon determining the neurological disorders behavior, wherein a specific set of activities includes listening to music, playing games, and talking to an AI chatbot.

Abstract: Techniques disclosed herein provide improved techniques for generating backup copies associated with applications. For example, a method comprises managing synchronous generation of a backup copy of an application comprised of two or more application components respectively executed on two or more host devices, wherein each host device has a storage system associated therewith, by controlling the creation of a backup copy of each application component executed on each host device on its associated storage system within the same time period.

Abstract: An approach for establishing a priority ranking for endpoints in a network. This can be useful when triaging endpoints after an endpoint becomes compromised. Ensuring that the most critical and vulnerable endpoints are triaged first can help maintain network stability and mitigate damage to endpoints in the network after an endpoint is compromised. The present technology involves determining a criticality ranking and a secondary value for a first endpoint in a datacenter. The criticality ranking and secondary value can be combined to form priority ranking for the first endpoint which can then be compared to a priority ranking for a second endpoint to determine if the first endpoint or the second endpoint should be triaged first.

Abstract: Systems and methods for data reporting using a data aggregator and a data retrieval tool such as a file intelligence service. The data aggregator stores two sets of data reporting tables and designates a first one of the sets of tables as an active set and the second one of the sets as a non-active set. The active set of tables stores data corresponding to a most recently successfully completed search. The non-active set stores data retrieved by the data retrieval tool from disparate data sources according to current search. The data in the active set of tables is immediately available for use in requested reports. When the data aggregator completes the current search, it designates the non-active set of tables as the active set so that the data therein becomes available for use in requested reports.

Abstract: A method of manufacturing an optical fiber, the method includes drawing a first optical fiber preform at a first draw tension to produce a first alkali doped optical fiber and drawing the first optical fiber preform at a second draw tension to produce a second alkali doped optical fiber, measuring the attenuation of the first alkali doped optical fiber and the second alkali doped optical fiber such that the second alkali doped optical fiber has a lower attenuation. Additionally, the method includes setting the draw tension to the second draw tension and drawing a second optical fiber preform at the second draw tension to produce a third alkali doped optical fiber. The third alkali-doped optical fiber has an attenuation at 850 nm of about 1.50 dB/km or less and an attenuation at 1550 nm of about 0.155 dB/km or less.

Abstract: The present disclosure is directed to various embodiments of methods for making an optical fiber. The methods may include drawing an optical fiber from a hollow-core preform. The hollow-core preform may include an annular support structure with an inner surface defining an interior cavity. The interior cavity may include a tube in direct contact with the inner surface of the annular support structure. The tube may include a wall defining an internal opening, the internal opening having a sealed end. The drawing may include regulating a pressure of the internal cavity to a predetermined pressure.

Abstract: A method (200) for determining future resource requirements in a given location, the method comprising the steps of obtaining (110) transaction data, the transaction data indicative of past resource use at a given location. At least one model may be trained (120) based on a set of parameters by determining (121) a distribution associated with the transaction data; and generating (122) a kernel based on the distribution and the set parameters, the kernel being arranged to output an estimated distribution. The kernel is refined (123) and validated (124) based on a comparison between the distribution and the estimated distribution. A density map is then generated (125) based on the at least one trained model. The density map is then sent (130) to a control system for determining future resource requirements in the given location.

Abstract: A personalized news service provides personalized news programs for its users by generating personalized combinations of audible versions of news stories derived from text-based versions of the news stories. The audible versions may be generated from the text-based version by a text-to-speech system, or may by recording a person reading aloud the text-based version. To acquire recordings, the personalized news service can make a determination that a particular news story has a threshold extent of popularity. The news service can then transmit a request to a remote recording station for a recording of a verbal reading of the particular news story. The news service can then receive the requested recording from the remote recording station.

Abstract: A system can configure a first number of demodulation reference signal positions in radio resource control information as part of a connection setup with a base station that is configured to facilitate first broadband cellular communications. The system can, after attaching to the base station, receive a medium access control control element message from the base station indicative of modifying the first number of demodulation reference signal positions to a second number of demodulation reference signal positions. The system can conduct second broadband cellular communications with the base station according to the second number of demodulation reference signal positions, wherein a throughput of the second broadband cellular communications is determined as a function of a size of a transport block set based on the second number of demodulation reference signal positions.

Abstract: Application aware storage volumes and snapshots are disclosed. An application, such as a data protection application, can discover a mapping between an application and storage volumes. The mapping, represented as application metadata, can be written to the volume and/or to backups. The application metadata facilitates application management and allows different administrators to communicate more effectively.