Abstract: A linear actuator assembly that can include a drive shaft, and a piston, where rotation of the drive shaft extends or retracts the piston at a speed that automatically changes based on an opposing force applied to the piston. A system that can include a piece of rig equipment configured to engage an object, with one or more linear actuator assemblies incorporated into the piece of rig equipment, where the linear actuator assemblies selectively engage the object and each of the linear actuator assemblies can include a drive shaft, and a piston, and where rotation of the drive shaft extends or retracts the piston at a speed that automatically changes based on an opposing force applied to the piston.

Abstract: A computer-implemented method for concept matching using a machine learning model, may include: receiving, from a user, a search query comprising: at least one criterion that represents at least one concept; inputting the received at least our criterion into at least one neural network for processing the search query; determining, using the at least one neural network, the at least one concept represented by the at least one criterion; retrieving, from a storage, at least one data item winch matches the determined at least one concept, through a cross-modal data retrieval method of retrieving a data type different from an input data type; and outputting the retrieved at least one data item in response to the search query.

Abstract: A method for processing of a lignocellulosic feedstock is provided comprising exposing lignocellulosic feedstock to acid in a reactor to hydrolyze at least hemicellulose present in said lignocellulosic feedstock, wherein during said exposing, a scale deposit comprising lignin forms on the inner surface of said reactor; and treating the scale deposit with an alkali solution at a temperature between about 140° C. and about 250° C. so as to remove scale. Also provided is a method for reducing scale deposit that forms on process equipment during a stage of reacting a lignocellulosic feedstock with acid.

Abstract: A method for processing of a lignocellulosic feedstock is provided comprising exposing lignocellulosic feedstock to acid in a reactor to hydrolyze at least hemicellulose present in said lignocellulosic feedstock, wherein during said exposing, a scale deposit comprising lignin forms on the inner surface of said reactor; and treating the scale deposit with an alkali solution at a temperature between about 140° C. and about 250° C. so as to remove scale. Also provided is a method for reducing scale deposit that forms on process equipment during a stage of reacting a lignocellulosic feedstock with acid.

Abstract: A target in a sequence of measurements is tracked by modeling the target with a switching linear dynamic system (SLDS) having a plurality of dynamic models. Each dynamic model is associated with a switching state such that a model is selected when its associated switching state is true. A set of continuous state estimates is determined for a given measurement, and for each possible switching state. A state transition record is then determined by determining and recording, for a given measurement and for each possible switching state, an optimal previous switching state, based on the measurement sequence, where the optimal previous switching state optimizes a transition probability based on the set of continuous state estimates. A measurement model of the target is fitted to the measurement sequence. The measurement model is the description of the influence of the state on the measurement. It couples what is observed to the estimated target.

Abstract: An apparatus and method for recharging a rechargeable lead acid battery. The apparatus supplies an overcharge current to the battery during and before completion of recharging of the battery to ameliorate stratification of the battery.

Abstract: Computer based apparatus and method automates gene prediction in a subject genomic sequence. A plurality of expert systems provide preliminary or intermediate gene predictions. A Bayesian network combiner combines the intermediate gene predictions and forms a final gene prediction. The final gene prediction accounts for dependencies between individual expert systems and dependencies between adjacent parts of the subject genomic sequence.

Abstract: Computer based apparatus and method automates gene prediction in a subject genomic sequence. A plurality of expert systems provide preliminary or intermediate gene predictions. A Bayesian network combiner combines the intermediate gene predictions and forms a final gene prediction. The final gene prediction accounts for dependencies between individual expert systems and dependencies between adjacent parts of the subject genomic sequence.

Abstract: Portions of an input measurement sequence are classified into a plurality of regimes by associating each of a plurality of dynamic models with one a switching state such that a model is selected when its associated switching state is true. In a Viterbi-based method, a state transition record is determined, based on the input sequence. A switching state sequence is determined by backtracking through the state transition record. Finally, portions of the input sequence are classified into different regimes, responsive to the switching state sequence. In a variational-based method, the switching state at a particular instance is also determined by a switching model. The dynamic model is then decoupled from the switching model. Parameters of the decoupled dynamic model are determined responsive to a switching state probability estimate. A state of the decoupled dynamic model corresponding to a measurement at the particular instance is estimated, responsive to the input sequence.

Abstract: An apparatus and method for recharging a rechargeable lead acid battery. The apparatus supplies an overcharge current to the battery during and before completion of recharging of the battery to ameliorate stratification of the battery.

Abstract: Computer based apparatus and method automates gene prediction in a subject genomic sequence. A plurality of expert systems provide preliminary or intermediate gene predictions. A Bayesian network combiner combines the intermediate gene predictions and forms a final gene prediction. The final gene prediction accounts for dependencies between individual expert systems and dependencies between adjacent parts of the subject genomic sequence.

Abstract: A system for linearly transmitting an amplified output signal using predistortion whereby a straight inverse modeling scheme is used to more easily and accurately determine the inverse of the distortion caused by a power amplifier of a RF transmitter. The "inverse" of the power amplifier is directly modeled by considering the power amplifier as a signal processing block with the input and output ports reversed. As a result, the computationally intensive inversion required by conventional schemes is avoided. The predistorter system stores complex coefficients in a predistorter LUT, which are then used as the tap weights of a digital filter implementing the predistorter. The predistortion is done by a non-linear filter which incorporates both instantaneous and average envelope power or magnitude effects. The predistortion LUT is addressed as a function of the instantaneous envelope power or magnitude and past power or magnitude envelopes.

Abstract: A linear transmitter (101) using predistortion includes a modulator (103), a predistorter (107), a digital quadrature modulator (111), an upconverter (113), a power amplifier (115), and an antenna (117). In addition, the transmitter (101) has a feedback loop including a coupler (119), a downconverter (123), a digital quadrature demodulator (125), and a trainer (131). The digital data to be transmitted is provided into the modulator (103), which converts the digital data into in-phase and quadrature component signals. The in-phase and quadrature component signals are then provided to the predistorter (107), which "predistorts" the component signals prior to amplification. The digital quadrature modulator (111) converts the component signals into a single analog signal. The upconverter (113) upconverts this signal from the predistorter (107) into the desired frequency of transmission, which is provided to the power amplifier (115) and the antenna (117) for amplification and broadcast.