Abstract: An apparatus including: a housing configured for installation in a landfill; a differential pressure sensor and at least one gas sensor in the housing; and a first valve configured to control landfill gas (LFG) flow to the at least one gas sensor, wherein the first valve is configured to open when the differential pressure sensor detects a selected pressure difference or pressure difference change between the atmospheric air pressure and the LFG pressure.

Abstract: A method for making a spatio-temporal combined optimal scheduling strategy of a mobile energy storage (MES) system includes: inputting data of a power system, a traffic system, and an MES system; setting a time interval, and initializing a time interval counter; inputting real-time fault, traffic, and MES data; and performing rolling optimization and solving, and delivering regulation decision instructions of the MES system, till a fault is removed. The core of the present disclosure is to propose a spatio-temporal combined optimal model of the MES system to describe spatio-temporal coupling statuses of an energy storage vehicle, a traffic network, and a power distribution network. The present disclosure provides guidance for an optimal scheduling decision of the MES system by properly regulating a traveling path and charging and discharging power of the MES system, thereby supporting high-reliability operation of the power distribution network.

Abstract: A system and method for constructing a training dataset and training a neural network include obtaining a searchable portable document format (PDF) document, identifying a bounding box defining a region in a background image that is associated with an overlaying text object defined in the PDF document, determining an image crop of the PDF document according to the bounding box, and generating a training data sample for the training dataset, the training data sample comprising a data pair of the image crop and the associated text object.

Abstract: A system and method relate to a processing device implementing a master artificial intelligence (AI) engine to receive, from each of one or more real-time AI engines, a machine learning algorithm, parameters associated with the machine learning algorithm, and features employed to train the parameters, receive labeled data used to train the parameters associated with the machine learning algorithm, and construct, based on a combination rule, a master machine learning model using the features, the machine learning algorithm, and the parameters associated with the machine learning algorithm received from each of the one or more real-time AI engines.

Abstract: A system and method for machine learning training provide a master AI subsystem for training a machine learning processing pipeline, the machine learning processing pipeline including machine learning components to process an input document, where each of at least two of the candidate machine learning components is provided with at least two candidate implementations, and the master AI subsystem is to train the machine learning processing pipeline by selectively deploying the at least two candidate implementations for each of the at least two of the machine learning components.

Abstract: A system and method for real-time machine learning include an interface device and a processing device to responsive to receiving a document, identify tokens in a document object model (DOM) tree associated with the document, present, on a user interface of the interface device, the document including the identified tokens, label, based on user actions on the user interface, one or more of the tokens in the DOM tree as one of a strong positive, a strong negative, or one of a weak positive or a weak negative token, and provide the DOM tree including the labeled tokens to train a machine learning model.

Abstract: A utility pole monitoring device comprising a body adapted to couple to a utility pole, a vibration device arranged on the body and configured to generate vibrations on or in the utility pole, a sensor arranged on the body for measuring the vibrations within the utility pole generated by the vibration device, and a controller for providing an initialization signal to the vibration device, and receive measured data from the sensor.

Abstract: A lithium-rich layered oxide material with a phase structure gradient and method for making the same are disclosed, used as cathode material for lithium ion battery. The invention has the following technical features: the spherical granule-shaped lithium-rich layered oxide material contains two types of structural units whose ratio gradually changes from the center to the surface of the spherical granule, wherein the monoclinic Li2MnO3 structural unit is gradually reduced, and the rhombohedral LiTMO2 structural unit is gradually increased from the center to the surface of the spherical granule. By controlling the ratio of the monoclinic Li2MnO3 structural unit versus the rhombohedral LiTMO2 structural unit along from the center to the surface the spherical granule, the performance of the Lithium-rich layered oxide materials as cathode for lithium ion battery, such as cyclic stability, specific discharge capacity, safety and other properties, is improved.

Abstract: A lithium-rich layered oxide material with a phase structure gradient and method for making the same are disclosed, used as cathode material for lithium ion battery. The invention has the following technical features: the spherical granule-shaped lithium-rich layered oxide material contains two types of structural units whose ratio gradually changes from the center to the surface of the spherical granule, wherein the monoclinic Li2MnO3 structural unit is gradually reduced, and the rhombohedral LiTMO2 structural unit is gradually increased from the center to the surface of the spherical granule. By controlling the ratio of the monoclinic Li2MnO3 structural unit versus the rhombohedral LiTMO2 structural unit along from the center to the surface the spherical granule, the performance of the Lithium-rich layered oxide materials as cathode for lithium ion battery, such as cyclic stability, specific discharge capacity, safety and other properties, is improved.

Abstract: A system and method for real-time machine learning include an interface device and a processing device to responsive to receiving a document, identify tokens in a document object model (DOM) tree associated with the document, present, on a user interface of the interface device, the document including the identified tokens, label, based on user actions on the user interface, one or more of the tokens in the DOM tree as one of a strong positive, a strong negative, or one of a weak positive or a weak negative token, and provide the DOM tree including the labeled tokens to train a machine learning model.

Abstract: The present disclosure is directed to methods and systems for monitoring and replaying user interactions with one or more interactive multi-page electronic documents. The methods generally include observing an event consisting of an interaction between a user and a first page of a first instance of an interactive electronic document, identifying a first pagination element in the page, recording data for the event, and using the recorded data to identify, in a second page of a second instance of the interactive electronic document, a second pagination element in the second page, and locating a third page of the second instance of the interactive electronic document based on the second pagination element.

Abstract: The present disclosure is directed to methods and systems for monitoring and replaying user interactions with one or more interactive electronic documents. The methods generally include identifying an event comprising an interaction between a user and an interactive electronic document, determining to record the event, identifying for the event a user action, a target element, and a set of element features, and recording data for recreating the event. Generally, the methods and systems monitor a training user's interactions with a document and generate an automated replay agent capable of replaying or recreating those interactions on the document or on similar documents. In some embodiments, the replay agent is able to place a document in a desired state and extract information from the document in the desired state. In some embodiments, the replay agent is trained to recognize elements, or types of elements, in the document.

Abstract: The present disclosure is directed to methods and systems for monitoring and replaying user interactions with one or more interactive electronic documents. The methods generally include identifying an event comprising an interaction between a user and an interactive electronic document, determining to record the event, identifying for the event a user action, a target element, and a set of element features, and recording data for recreating the event. Generally, the methods and systems monitor a training user's interactions with a document and generate an automated replay agent capable of replaying or recreating those interactions on the document or on similar documents. In some embodiments, the replay agent is able to place a document in a desired state and extract information from the document in the desired state. In some embodiments, the replay agent is trained to recognize elements, or types of elements, in the document.