Abstract: Systems and method for predicting production decline for a target well include generating a static model and a decline model to generate a well production profile. The static model is generated with supervised machine learning using an input data set including historical production data, and calculates an initial resource production rate for the target well. The decline model is generated with a neural network using the input data and dynamic data (e.g., an input time interval and pressure data of the target well), and calculates a plurality of resource production rates for a plurality of time intervals. The system can perform multiple recursive calculations to calculate the plurality of resource production rates, generating the well production profile. For instance, the predicted resource production rate of a first time interval is used as one of inputs for predicting the resource production rate for a second, subsequent time interval.

Abstract: Implementations described and claimed herein provide systems and methods for a framework to achieve completion optimization for waterflood field reservoirs. The proposed methodology leverages adequate data collection, preprocessing, subject matter expert knowledge-based feature engineering for geological, reservoir and completion inputs, and state-of-the-art machine-learning technologies, to indicate important production drivers, provide sensitivity analysis to quantify the impacts of the completion features, and ultimately achieve completion optimization. In this analytical framework, model-less feature ranking based on mutual information concept and model-dependent sensitivity analyses, in which a variety of machine-learning models are trained and validated, provides comprehensive multi-variant analyses that empower subject-matter experts to make a smarter decision in a timely manner.

Abstract: Implementations described and claimed herein provide systems and methods for dynamic waterflood forecast modeling utilizing deep thinking computational techniques to reduce the processing time for generating the forecast model and improving the accuracy of resulting forecasts. In one particular implementation, a dataset of a field may be restructured into the spatio-temporal framework and data driven deep neural networks may be utilized to learn the nuances of data interactions to make more accurate forecasts for each well in the field. Further, the generated model may forecast a single time segment and build the complete forecast through recursive prediction instances. The temporal component of the restructured data may include all or a portion of the production history of the field divided into spaced time intervals. The spatial component of the restructure data may include, within each epoch, a computed or estimated spatial relationships of all existing wells.

Abstract: A system and method for caching memory request verification data comprising a memory request generator configured to generate a memory request designating requested data and memory request verification data. A bus is configured to carry the memory request from the memory request generator to a cache memory that stores verification data, and upon receiving the memory request is configured to: retrieve stored verification data from the cache memory, compare the stored verification data to the memory request verification data, and responsive to a match between the stored verification data to the memory request verification data, designate a memory request validation. Also part of the system is a memory controller configured to, responsive to a memory request validation, retrieve data specified in the memory request from a main memory and provide the data to the memory request generator over the bus. A main memory configured to store the requested data.

Abstract: A discrimination method to be executed by a discrimination device that discriminates an application, includes collecting packet data and first flow data that satisfy a predetermined rule, analyzing the packet data and generating a signature that associates the application and an IP address with each other, generating second flow data from the packet data, calculating first feature amount information that is a statistical feature amount for each IP address for the first flow data, and calculating second feature amount information that is a statistical feature amount for each IP address for the second flow data, attaching a label to the second feature amount information with use of the signature, and causing a discriminator to learn discrimination of the application by using the first feature amount information and the second feature amount information as learning data.

Abstract: The application relates to a vanadium battery SOC balance system, which comprises a detection module, a control module, a load module and vanadium battery modules; the vanadium battery modules are connected in series; the detection module is used for detecting and outputting SOC values of the vanadium battery modules; the control module is connected with the detection module and used for receiving the SOC values and connecting the load module into one of the vanadium battery modules according to the SOC values. The detection module can detect the SOC values of the vanadium battery modules, the control module can insert a load into one of the vanadium battery modules according to the SOC values, the vanadium battery modules inserted into the load module can discharge through the load module, the SOC values of the vanadium battery modules are reduced, and the SOC values of the vanadium battery modules are balanced.

Abstract: Provided are a shift register and a driving method thereof, a drive circuit and a display device. A first capacitor is provided with a first terminal electrically connected to a cascade signal output terminal and a second terminal electrically connected to a fixed voltage signal terminal, so that a load capacitance of the cascade signal output terminal is compensated, and the charging and discharging process of the first capacitor is combined to reduce a noise of a signal of the cascade signal output terminal and improve the signal stability of the cascade signal output terminal.

Abstract: Systems and methods for managing an animated emoji playback are provided. In particular, a server may monitor user interactions, wherein the user interactions include users interacting with objects of other users. The server may detect an action performed by a first user of the users on an object of a second user of the users and determine if the detected action is a triggering action defined by the second user that triggers a playback of an animated emoji of the second user. In response to determining that the detected action is the triggering action, the server may preset the playback of the animated emoji of the second user to the first user.

Abstract: Systems and methods for managing a presentation of a dynamic profile photo are provided. In particular, a server may receive contextual information associated with one or more users. The server may determine that the contextual information is consistent with a predetermined contextual action. In some examples, the server may identify a dynamic profile photo associated with the predetermined contextual information; and present, in response to the determination that the contextual information is consistent with the predetermined contextual action, the dynamic profile photo to the one or more users.

Abstract: The disclosure relates to mineral processing, and more particularly to a copper(II)-ammonia complex ion sulfidization activator, and its preparation and application. A molar ratio of NH3 to Cu2+ in the active ingredient of the copper(II)-ammonia complex ion sulfidization activator is 2:1-4:1. The preparation method includes: dropwise adding an ammonia solution to a copper salt solution; and adjusting the mixture to pH 6-7.2 with dilute sulfuric acid to obtain the copper(II)-ammonia complex ion sulfidization activator. During the sulfidization flotation for the copper oxide ore, the copper(II)-ammonia complex ion sulfidization activator is added and mixed uniformly with the ore slurry prior to the introduction of the sulfidizing agent.

Abstract: A nano small peptide FG and its use in preparation of drugs for treating and preventing fundus vascular diseases are provided. The artificially synthesized nano small peptide has a molecular formula of X-FFVLK-KNKAAKG (SEQ ID NO:1), wherein the X is C12, C14, C16, or C18. The nano small peptide of the present invention can specifically select receptors to encapsulate sSema4D protein, and the concentration of sSema4D is effectively reduced, so that the sSema4D is unable to bind to any receptors, thus changing the shortcoming of few inhibitory targets of antibody drugs. The nano small peptide molecule with a simple structure can be mixed with antibody drugs without causing mutual immune reactions, so as to achieve the effect of reducing multiple pro-angiogenesis molecules.

Abstract: A nano small peptide FH and its use in preparation of drugs for treating and preventing fundus vascular diseases are provided. The artificially synthesized nano small peptide has a molecular formula of X-FFVLK-KQKRPRH (SEQ ID NO: 1), wherein the X is C12, C14, C16, or C18. The nano small peptide of the present invention can specifically select receptors to encapsulate sSema4D protein, and the concentration of sSema4D is effectively reduced, so that the sSema4D is unable to bind to any receptors, thus changing the shortcoming of few inhibitory targets of antibody drugs. The nano small peptide molecule with a simple structure can be mixed with antibody drugs without causing mutual immune reactions, so as to achieve the effect of reducing multiple pro-angiogenesis molecules.

Abstract: An electromagnetic interference (EMI) filter 32 is provided which is suitable for a DC motor 10. The EMI filter 32 comprises an EMI suppression circuit 34 having first and second DC-motor-terminal inputs 36a, 36b, and an MW-band power choke 44 coupled to one of the first and second DC-motor-terminal inputs 36a, 36b to increase the motor inductance in the MW frequency band.

Abstract: Some embodiments provide a method of migrating a first software defined (SD) network managed by a first network manager to a second SD network managed by a second network manager. The method of some embodiments is performed by a third network manager that provides an interface that allows a set of users to specify and review logical network components, which the first and second network managers can then respectively deploy in the first and second SD networks. The third network manager in some embodiments identifies for a migration manager a first group of two or more logical network components that the third network manager previously specified for the first network manager to deploy in the first SD network.

Abstract: The invention provides a detection circuit for detecting light-off modes performed by a silicon-controlled dimmer which comprises a voltage detection circuit receiving an output signal and generating a voltage detection signal according to the output signal, and a delay circuit connected to the voltage detection circuit, receiving the voltage detection signal, and delaying the voltage detection signal in order to output a detection signal. The invention detects the output signal through the voltage detection circuit, and delays the detected voltage detection signal to output the corresponding detection signal, and then the detection signal effectively distinguishes the light-off modes performed by the silicon-controlled dimmer to meet requirements of users.

Abstract: The invention provides an LED drive power supply and a controller thereof. The controller comprises a ground terminal, a sampling terminal, and a power supply terminal. The ground terminal and an output ground of a power supply module have different potentials. A drain of a power switching transistor is coupled to a positive output terminal of the power supply module, a source of the power switching transistor and the sampling terminal are coupled to a first terminal of a sampling resistor, and a second terminal of the sampling resistor is coupled to the ground terminal. The controller further includes a logic control circuit determining whether a sampling voltage input by the sampling terminal is zero; a driver generating a first driving signal to the power switching transistor; and a bias circuit configured to receive a power supply voltage.

Abstract: A method of complementing a map of a scene with 3D reference points including four steps. In a first step, data is collected and recorded based on samples of at least one of an optical sensor, a GNSS, and an IMU. A second step includes initial pose generation by processing of the collected sensor data to provide a track of vehicle poses. A pose is based on a specific data set, on at least one data set re-coded before that dataset and on at least one data set recorded after that data set. A third step includes SLAM processing of the initial poses and collected optical sensor data to generate keyframes with feature points. In a fourth step 3D reference points are generated by fusion and optimization of the feature points by using future and past feature points together with a feature point at a point of processing. This second and fourth steps provides significantly better results than SLAM or VIO methods known from prior art, as the second and the fourth steps are based on recorded data.

Abstract: A computing system comprising one or more computing devices can obtain one or more images of an animal. The computing system can determine, using at least one of one or more machine-learned models, a plurality of joint positions associated with the animal based on the one or more images. The computing system can determine a body model for the animal. The computing system can estimate a body pose for the animal based on the one or more images, the plurality of joint positions, and the determined body model.

Abstract: An iron-based powder composition including at least an iron-based powder, and a minor amount of a machinability enhancing additive, said additive including at least one titanate compound. The titanate compound being according to the following formula; MxO*nTiO2, wherein x can be 1 or 2 and n is a number from at least 1 and below 20, preferably below 10. M is an alkali metal such as Li, Na, K or an alkaline earth metal such as Mg, Ca, Ba, or combinations thereof. Further, the use of the machinability enhancing additive and a method for producing an iron-based sintered component for easy machining.