Abstract: Methods and systems that enable communication network traffic engineering functions or application functions using combinations of neural network (NN) encoders and NN decoders are provided. A first network element has a NN encoder deployed thereat and receives input data based on which the NN encoder generates a latent representation. The latent representation is provided to a second network element that has a NN decoder deployed thereat and is configured to process the latent representation in accordance with a traffic engineering function to produce a traffic engineering output, which may be used to modify an operational state variable of the communication network. The input data are values of operational state variables of the communication network obtained at the first network element.

Abstract: A method of automatic optimization of ROP. The method obtains a plurality of drilling surface parameters for a field of interest, and determines an UCS data and a MSE data for a targeted formation based on well logs. The method further trains a ML model using the drilling surface parameters as inputs, and outputs a plurality of weights for drilling parameters in a ROP equation and in a Teale's MSE equation for the field of interest. The method further combines the ML ROP equation with the Teale's MSE equation to determine a plurality of optimum drilling parameters by simultaneously solving the set of ML ROP equation and the Teale's MSE equation. Furthermore, the method generates a work order to adjust the drilling parameters and cause display of the work order and the determined optimum drilling parameters in a user interface of a client device.

Abstract: Intelligent query routing may be performed across shards of a scalable database table. A router of a database system may receive an access request directed to one or more database tables. The router may evaluate the access request with respect to metadata obtained for the database tables to determine an assignment distribution of computing resources of the database system to data that can satisfy the access request. The router can select planning locations to perform the access request based on the assignment distribution of the computing resources. The router can cause the access request to be performed according to planning at the selected planning locations.

Abstract: Disclosed is a method for detecting the numerology types and bands in the received signal without using any control information in the systems using mixed numerology (e.g. 5G standard) and to a signal receiving unit operating according to the method.

Abstract: A method for predicting a blowdown rate of one or more boilers includes generating output data with a first model that specifies an empirical relationship between multiple input temperatures, multiple plant gas feed rates, and multiple outputs of the boilers. The method further includes collecting an ambient operating temperature and a current steam demand of the boilers and comparing the ambient operating temperature and the current steam demand to the output data to determine a current required blowdown rate. Once determined, the blowdown rate of the boilers is adjusted according to the current required blowdown rate.

Abstract: A two-tier in vitro growth apparatus and method for cultivating Oestridae larvae and maggots is provided. The growth apparatus includes a top tier container and a bottom tier container where the top tier container has a growth container residing within the volume of the top tier container. The growth container is constructed of a semipermeable material and facilitates cultivating Oestridae larvae and maggots within an interior space of the growth container.

Abstract: Systems and methods include a computer-implemented method for determining risks of injector wells. Inputs for multiple risk criteria are received through an injector riskiness score (IRS) user interface for processing risks posed by an injector well to a new well being drilled in proximity to the injector well. A weighted sum of values corresponding to inputs for the risk multiple criteria is determined based on the inputs. An IRS score is determined based on the weighted sum. A determination is made whether the injector well has an IRS score above a predefined threshold. A shut-down recommendation for the injector well is identified in response to determining that the injector well has an IRS score above the predefined threshold.

Abstract: There is provided a method and system for communication network management. There is provided an active TE architecture and procedure that rely on the epistemic uncertainty obtained from traffic forecasting models. According to embodiments, the traffic forecasting models can predict the mean of the network traffic demand and can extract one or more of the features relating epistemic uncertainty and the aleatoric uncertainty. According to embodiments, the epistemic uncertainty is used to vary the sampling frequency of network statistics in TE applications, for specific times or specific flows. A time-window can be used to predict network traffic can be varied (e.g. increased or decreased) to adjust the epistemic uncertainty.

Abstract: There are provided a method, system and computer program product for preventing unauthorized use of a deep reinforcement learning agent. The DRL agents are trained to behave as expected only when they observe the one or more required secret operational keys. In some embodiments, the DRL agents are further trained to operate at a diminished capacity when the one or more required secret operational keys are unused.

Abstract: Some implementations of the present disclosure provide a computer-implemented method that includes: accessing measurement data obtained from a drilling operation, wherein the measurement data show multiple measurements during the drilling operation when a drilling bit is located at a range of depths; based on the measurement data, using machine learning analytics to construct a model that predicts a formation top when the drilling bit reaches a depth; determining a correlation between the measurement data and the predicted formation top; and in response to determining the correlation exceeds a pre-determined threshold, applying the model to predict a formation top when the drilling bit reaches the depth.

Abstract: A method based on orthogonal frequency division multiplexing (OFDM) called OFDM-subcarrier gap and index modulation (OFDM-SGIM) is proposed in which the gaps between the active subcarriers are exploited to transmit extra bits alongside the conventional QAM symbols. Thereafter, the index modulation is combined with the new proposed OFDM-based scheme to guarantee a fixed subblock size.

Abstract: The present disclosure relates to a method for blind identification of channel tap numbers in wireless communication by using deep neural networks (DNN). In the proposed method, it is possible to train a DNN using only the transmitted and received signals of a wireless system in order to obtain the number of channel taps. We propose a robust and efficient sparse representation technique for the identification of wireless channels. We estimate the number of channel taps which is considered as one of the sparse features of the hannel The blind estimation performed in the proposed system, enhances the spectral efficiency of the used wireless communication system since the employed DNN does not require to transmit extra signals for identifying the channel taps. In our identification method, physical insights are not available or used.

Abstract: A system for determining a well placement may include an analysis module. The analysis module, using a Bayesian Decision Network model, may perform a first assessment of data availability, saturation, fracture, and seismic data associated with a candidate area for drilling a first well, and may output a first probability that indicates a potential production level of the first well. The analysis module may perform a second assessment of offset, stress, thickness, and porosity data associated with a second, nearby well, and may output a second probability that indicates a potential production level of the first well if a lateral is placed in a layer and at a azimuth direction. The analysis module may perform a third assessment of tortuosity, washout, and porosity data, and a net-to-gross value associated with the first well and may output a third probability that indicates a completion type for the first well.

Abstract: A method based on orthogonal frequency division multiplexing (OFDM) called OFDM-subcarrier gap and index modulation (OFDM-SGIM) is proposed in which the gaps between the active subcarriers are exploited to transmit extra bits alongside the conventional QAM symbols. Thereafter, the index modulation is combined with the new proposed OFDM-based scheme to guarantee a fixed subblock size.

Abstract: A system for determining a well placement may include an analysis module. The analysis module, using a Bayesian Decision Network model, may perform a first assessment of data availability, saturation, fracture, and seismic data associated with a candidate area for drilling a first well, and may output a first probability that indicates a potential production level of the first well. The analysis module may perform a second assessment of offset, stress, thickness, and porosity data associated with a second, nearby well, and may output a second probability that indicates a potential production level of the first well if a lateral is placed in a layer and at a azimuth direction. The analysis module may perform a third assessment of tortuosity, washout, and porosity data, and a net-to-gross value associated with the first well and may output a third probability that indicates a completion type for the first well.

Abstract: A method of automatic optimization of ROP. The method obtains a plurality of drilling surface parameters for a field of interest, and determines an UCS data and a MSE data for a targeted formation based on well logs. The method further trains a ML model using the drilling surface parameters as inputs, and outputs a plurality of weights for drilling parameters in a ROP equation and in a Teale's MSE equation for the field of interest. The method further combines the ML ROP equation with the Teale's MSE equation to determine a plurality of optimum drilling parameters by simultaneously solving the set of ML ROP equation and the Teale's MSE equation. Furthermore, the method generates a work order to adjust the drilling parameters and cause display of the work order and the determined optimum drilling parameters in a user interface of a client device.

Abstract: A casing may have a tubular body formed by a wall extending axially from a first end to a second end, the tubular body having a bore therein throughout. The wall may radially extend from an inner surface of the tubular body to an outer surface of the tubular body. The wall may include a base layer and one or more secondary layers attached to the base layer. The one or more secondary layers may be a rubber or smart foam.

Abstract: A casing may have a tubular body formed by a wall extending axially from a first end to a second end, the tubular body having a bore therein throughout. The wall may radially extend from an inner surface of the tubular body to an outer surface of the tubular body. The wall may include a base layer and one or more secondary layers attached to the base layer. The one or more secondary layers may be a rubber or smart foam.

Abstract: An illustrative embodiment disclosed herein is an apparatus including a processor having programmed instructions to request, from each of a plurality of services spanning multiple clusters, a plurality of time instances. A plurality of snapshots were taken during the plurality of time instances. The processor has programmed instructions to present, to a user, the plurality of time instances and a plurality of identifiers. Each of the plurality of identifiers corresponds to one of the plurality of services. The processor has programmed instructions to receive, from the user, a first selection of a first time instance of the plurality of time instances and a second selection of a subset of the plurality of identifiers. Each of the subset of identifiers corresponds to one of a subset of the plurality of services. The processor has programmed instructions to apply, to a target, a subset of the plurality of snapshots.

Abstract: Embodiments relate to a method that includes measuring, by an electronic device at a surface of a wellbore, a functional characteristic of a drilling process. Embodiments may further include identifying, by the electronic device based on a change in the functional characteristic, a change in a petro-physical property of rock at a drill-bit while drilling. Embodiments may further include outputting, by the electronic device, an indication of the change in the petro-physical property of the rock at the drill-bit. Other embodiments may be described or claimed.