Semantic Sensing Analysis System

A semantic sensing analysis system comprising a processor, a memory and at least one sensing element having a plurality of stored semantic routes and/or semantic rules wherein the processor is configured to use semantic factorization to apply a quantifiable factor or indicator based on semantic inference or analysis which is inferred based on at least one of the stored semantic routes and/or semantic rules to cause the system to perform semantic augmentation towards a user in relation with an inferred semantic identity.

SYSTEMS, APPARATUS, ARTICLES OF MANUFACTURE, AND METHODS FOR PRIVATE NETWORK MOBILITY MANAGEMENT

Methods, apparatus, systems, and articles of manufacture are disclosed for private network mobility management. An example private network in a box includes interface circuitry to communicate with multi-access terrestrial network (TN) nodes and non-terrestrial network (NTN) nodes, machine readable instructions, and programmable circuitry. The example programmable circuitry is to generate a first mesh associated with a geographical area of the private network and a second mesh associated with the geographical area. The example programmable circuitry is also to initiate at least one of the multi-access TN nodes in alignment with the first mesh and at least one of the NTN nodes in alignment with the second mesh. Additionally, the example programmable circuitry is to facilitate communication associated with at least one user equipment within at least one of the first mesh or the second mesh using the private network.

Methods for improved in situ detection of nucleic acids and spatial analysis

Provided herein are methods, compositions, and systems for improved in situ detection of analytes and spatial analysis using, e.g., a sequencing readout.

METHODS, COMPOSITIONS, AND SYSTEMS FOR DETECTING EXOGENOUS NUCLEIC ACIDS

Provided herein are methods for capturing an exogenous probe and/or a capture handle sequence to a capture domain of a capture probe. Compositions, systems, and kits also are disclosed. In some instances, the methods include detecting an exogenous nucleic acid in a biological sample by hybridizing a first exogenous probe oligonucleotide and a second exogenous probe oligonucleotide to an exogenous nucleic acid in a biological sample on a first substrate, coupling the exogenous probe oligonucleotides, and capturing the coupled exogenous probe on a spatial array.

Spatially Encoded Biological Assays

The present invention provides assays and assay systems for use in spatially encoded biological assays. The invention provides an assay system comprising an assay capable of high levels of multiplexing where reagents are provided to a biological sample in defined spatial patterns; instrumentation capable of controlled delivery of reagents according to the spatial patterns; and a decoding scheme providing a readout that is digital in nature.

Adapting split-transistor switching power supply based on condition

Techniques for controlling a switching converter. In an example, the converter includes a switching element and a logic circuit. The switching element includes a plurality of parallel-coupled transistors. The logic circuit is configured to initially provide one or more gate drive signals to one or more of the parallel-coupled transistors, respectively, but not to all of the transistors. After a delay period, the logic circuit is further configured to provide a respective gate drive signal to all or an otherwise larger number of the transistors. The initially-provided one or more gate signals is/are based on one or more conditions associated with the converter, such as RdsOn associated with the switching element and/or temperature. In this manner, a switching transistor that is adaptively-sized based on the condition(s) is initially switched to damp ringing, and a larger switching transistor (e.g., all transistors in parallel) is subsequently switched for low conduction loss.

Method for measuring quiescent current in a switching voltage regulator

One example includes a method for measuring a quiescent current in a switching voltage regulator. The method includes generating a mathematical model of a circuit design associated with the switching voltage regulator. The mathematical model includes measurable parameters to describe a switching current of a power switch of the switching voltage regulator. The method also includes fabricating a circuit comprising the switching voltage regulator based on the circuit design. The fabricated circuit includes the power switch and conductive I/O. The method also includes coupling the conductive I/O of the fabricated circuit to a circuit test fixture and providing electrical signals to the conductive I/O via the circuit test fixture. The method also includes measuring the measurable parameters in response to the electrical signals and applying the measurable parameters to the mathematical model to calculate the switching current. The method further includes calculating the quiescent current based on the switching current.

CONTROLLED TRANSITION TO REGULATION

A method includes receiving, by a regulating circuit, a battery feedback parameter and producing, by an operational transconductance amplifier, a first output current at an output terminal based on the battery feedback parameter and a battery current regulation voltage. The method also includes producing, by a current source, a second current at the output terminal based on the battery feedback parameter and a reference voltage.

SYSTEMS AND METHODS OF OPTIMIZING MACHINE LEARNING MODELS FOR AUTOMATED ANOMALY DETECTION

There is provided methods, systems and techniques for optimized anomaly prediction using machine learning. A data set is obtained which corresponds to a query for anomaly detection. Feature classification is performed along with anomaly labelling using an unsupervised clustering technique based on determining similar groups of data and behaviours and determining a distribution for a particular feature of interest in each cluster such as to apply a threshold to each cluster to extract the anomaly data and label same. Once the labelled dataset is generated, a tree classification model is trained based on the labelled data set for detecting anomaly. Once trained, a set of computing model rules may be extracted from the tree classification model to generate a rules executable for anomaly spotting to define combinations of feature characteristics resulting in outlier data so that the rules executable may be applied to new data.

API for incremental and periodic crypto asset transfer

An example operation may include one or more of storing transaction content from transactions executed via one or more fiat payment accounts and one or more crypto accounts of a digital wallet of a user, and determining, via execution of a machine learning model on the stored transaction content, a recurring expense value of the user and a next point in time in which the recurring expense value, dividing the recurring expense value into a plurality of sub-values; generating a plurality of transactions which transfer the plurality of sub-values from a fiat payment account to a crypto account from among the one or more crypto accounts and store the plurality of transactions within a queue, initiating a plurality of time-to-live jobs for the plurality of transactions, respectively, wherein the plurality of time-to-live jobs comprise a plurality of different respective expiration times that are staggered such that the plurality of time-to live jobs expire in incremental intervals from a current time to the next point in time in which the recurring expense value is due and executing the plurality of transactions at the plurality of different expiration times to incrementally transfer the plurality of sub-values from the fiat account to a crypt account via an application programming interface (API).