Abstract: A computer-implemented method, includes accessing, by a processor, a set of asset documents. The method also includes performing, by the processor, feature extraction on text of each document of the set of asset documents using a feature extraction module to generate a set of features, where each feature of the set of features represents a document of the set of asset documents. The method also includes generating, by the processor, a set of lower-dimensional features from the set of features using a singular value decomposition module. The method also includes generating, by the processor, a set of clusters from the set of lower-dimensional features using a clustering module. The method also includes training, by the processor, a machine-learning model of a classification microservice using the set of clusters generated from the clustering module.

Abstract: Systems and methods for electronically tracking one's location, activities, and behaviors for use in organizations such as prisons are disclosed. A database stores inputted information and may be encrypted. The user may attach files, pictures, videos, or the like. The logbook may have emoticons for tracking travel, medications, bed checks, and sights and sounds. A master facility view enables data viewing of users in a facility. Offline data entry and the ability to share information with other users are present. Preferably, the system will be integrated with cameras and scanning devices present in an organization, such that the user may use the scanning device at the organization to track his or her location, which will then be automatically integrated into the electronic system. The system may comprise Quick Response codes unique to the user or biometric assistance to detect and store the location of the user at any given time.

Abstract: Embodiments related to using a foundational model for network packet traces. A technique includes receiving network traffic of a network and extracting features from the network traffic, the features having a function related to communications in the network. The technique includes generating tokens from the features, each of the features corresponding to a respective one of the tokens, training a machine learning model by inputting the tokens, the machine learning model being trained to output contextual embeddings for the tokens, and using the contextual embeddings to determine an anomaly in the network traffic.

Abstract: The present disclosure generally relates to bi-component continuous filaments and articles made therefrom. In one embodiment, a bi-component continuous filament is disclosed, comprising a first polymer component forming a sheath; a second polymer component comprising a core that is surrounded by the sheath; and a binding agent adhering the first polymer component to the second polymer component along a length of the filament; wherein an elongation of the bi-component continuous filament is between 33.6±5.0?60.4±5.0 percent; and wherein a tenacity of the bi-component continuous filament is between 1.9±0.2?3.9±0.2 grams per denier (GPD). In some embodiments, the first polymer component comprises a polyamide, polyester, or polyolefin material, preferably a cationic polyamide or a cationic polyester, the second polymer component comprises polyethylene terephthalate (PET), and the binding agent comprises a polyolefin modified by maleic anhydride.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate audience metrics for connected television. An example system includes at least one memory, programmable circuitry, and instructions to cause the programmable circuitry to obtain media access data corresponding to connected television media and a user identifier corresponding to a media access device, generate, using a machine learning model, probability values for corresponding audience demographics in a household composition corresponding to the user identifier, the probability values indicative of likelihoods that corresponding ones of the audience demographics are accessing the connected television media, determine a person-level characteristic based on the probability values of the audience demographics, the person-level characteristic corresponding to an audience member of the connected television media, and assign the media access data to the person-level characteristic.

Abstract: A system and method may facilitate data matching between multiple data owners through the use of a common set of “pseudonymized” individuals or household identifiers without requiring any data owner to share personally identifiable information with any other party. Data owners may accurately match ID-level online and offline data across multiple platforms with other participants' online and offline data without requiring any party to disclose personally identifiable information about their users or households. This use of deterministic data, rather than probabilistic data or a combination of deterministic and probabilistic data, is more accurate while also lowering the risk of data breach since no personally identifiable information is shared.

Abstract: An embodiment for improved estimating of end-user performance of cloud-based services. The embodiment may collect, for a target cloud-based service, a first dataset including network level metrics, and a second dataset including end-user performance data from one or more monitoring services. The embodiment may combine the collected first dataset and second dataset to generate a curated training dataset. The embodiment may train a machine learning prediction model using the curated training dataset. The embodiment may predict and estimate, using the trained machine learning prediction model, the end-user performance of the target cloud-based service for any target end-user.

Abstract: The present inventive concept provides for a method of unmanned machine synchronization using robotic sensing. The method includes generating at least one physical signal in the vicinity of at least one unmanned machine. The at least one generated physical signal is received by the at least one unmanned machine. At least one task is performed by the at least one unmanned machine based on the at least one received generated physical signal.

Abstract: A network usage plan is constructed using a network usage prediction model. The network usage plan comprises a first time and a first desired network configuration to be implemented at the first time. A network is configured according to the first desired network configuration for use at the first time. Responsive to determining, during a time period in which the network is configured according to the first network configuration, that a usage requirement has changed more than a threshold amount, the network is reconfigured according to a second network configuration meeting the changed usage requirement.

Abstract: Image data may indicate an average number of drops of printer fluid per pixel. Print data may be generated such that a total number of drops of printing fluid are deposited to a print medium during a pass in a forward direction and a pass in the reverse direction according to a distribution.

Abstract: The present invention relates to the development of antibacterial biocellulosic patches/membranes for transdermal drug delivery. Novel high cellulose producing bacterial strain Komagatacibacter hansenii (MBS-8) has been isolated. The production and purification process of biocellulosic membranes is developed in such a way that the membranes produced are of desired thickness and length, suitable for drug impregnation in a cost-effective manner for the development of transdermal patches. Further, a process for efficient drug impregnation of Mupirocin in BC membranes has been developed. Weight and drug content of mupirocin impregnated BCM were found to be uniform.

Abstract: A computer-implemented method for grouping devices in a massive multiple-input and multiple-output (MIMO)-based cellular network, in accordance with one embodiment, includes determining movement states of end devices in a cell of the massive MIMO-based cellular network, estimating payload requirements of the end devices, and grouping the end devices in a group based on the determined movement states and the estimated payload requirements.

Abstract: A first computational device with a first visual display and a second computational device with a second visual display are maintained, wherein the first computational device is configured to read information displayed on the second visual display, and wherein the second computational device is configured to read information displayed on the first visual display. Byte streams are exchanged bidirectionally between the first computational device and the second computational device via the information displayed on the first visual display and the information displayed on the second visual display, wherein active radio transmission between the first computational device and the second computational device is avoided.

Abstract: A computer implemented method determines a placement of an application being added to a network. The method includes determining a logical-physical mapping for the application. Sub-graphs in the logical-physical mapping are identified. A stored application in a catalog of applications previously used in the network is located. The stored application includes one of the sub-graphs in the logical-physical mapping. An experiment is generated, performed by a computing device running a neural network model, using the sub-graphs. The experiment includes inducing a physical node mapping for the sub-graph. A cost function associated with a placement of the application being added to the network to one or more physical nodes in the induced physical node mapping is determined.

Abstract: Embodiments are related to improving the bandwidth of classical networks using quantum networks. Sender equipment transfers quantum bits over a quantum communications network to receiver equipment, the quantum bits being used to obtain entry values in a shared dictionary. The sender equipment determines a solution for an optimization problem using the entry values, where data to be transferred over a telecommunications network is expressed by the optimization problem. The sender equipment transfers the solution over the telecommunications network to the receiver equipment, where an equivalence of the data is transferred to the receiver equipment in response to the receiver equipment using the solution, the optimization problem, and the entry values to obtain the data.

Abstract: A computer-implemented method, according to one approach, includes receiving at least one set of qubits at a first client component, and using the at least one set of qubits to index a configuration dictionary to determine a first configuration. The configuration dictionary defines a plurality of different configurations. The method further includes causing the first client component to be configured according to the first configuration. A computer program product, according to another approach, includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a first client component to cause the first client component to perform the foregoing method. A system, according to another approach, includes a processor, and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to generate audience metrics for connected television. An example system includes at least one memory, programmable circuitry, and instructions to cause the programmable circuitry to obtain media access data corresponding to connected television media and a user identifier corresponding to a media access device, generate, using a machine learning model, probability values for corresponding audience demographics in a household composition corresponding to the user identifier, the probability values indicative of likelihoods that corresponding ones of the audience demographics are accessing the connected television media, determine a person-level characteristic based on the probability values of the audience demographics, the person-level characteristic corresponding to an audience member of the connected television media, and assign the media access data to the person-level characteristic.

Abstract: Using a probability distribution and a search result history, a probability of selecting a specified number of relevant samples and a specified number of irrelevant samples from a set of contents is computed, each content in the set of contents comprising a content copied to a first system clipboard of a first device. Using the probability distribution, each content in the set of contents is weighted. Using the weighted set of contents, a set of predicted searches is generated. The set of predicted searches is presented for selection responsive to an indication of intent to perform a search. A selected search within the set of predicted searches is caused to be performed.

Abstract: A method for determining a correlation of one or more events occurring in a plurality of nodes of a network includes accessing, by a computing device, address information associated with each of the plurality of nodes on the network. The computing device can further access one or more event IDs associated with one or more events occurring on the plurality of nodes. The computing device can further create an association the one or more events occurring on the plurality of nodes with related events occurring on others of the plurality of nodes, the association including the address information.

Abstract: A computer-implemented method, according to one embodiment, includes determining whether a predetermined sequence of knocks has been performed by a requesting node to other nodes of a network along existing paths between the requesting node and the other nodes. In response to a determination that the predetermined sequence of knocks has been performed, a connection is established between the requesting node and a first of the other nodes. A computer program product, according to another embodiment, includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method. A system, according to another embodiment, includes a processor, and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.