Abstract: A process and a system are used for production of multiple grades of ultralow aromatic solvents/chemicals having preferred boiling range, flash point and viscosity from different hydrocarbon streams. A plurality of hydrotreating steps are used to hydrotreat a plurality of hydrocarbon feedstocks in the presence of a hydrogen gas stream and a catalyst system. Further, at least one dissolved gas stripping step, at least one adsorption step, and a distillation step are included in the process. Desired iso-paraffin molecules are thereby preserved, and the undesired aromatic molecules are converted into desired naphthene molecules.

Abstract: A method for beamwidth management in a wireless communication system, includes: determining a first set of User Equipments (UEs) served by a beam in a transmission time interval (TTI); comparing a number of UEs in the first set of UEs with a threshold number of UEs that can be served by the beam in the TTI; adjusting a beamwidth of the beam, based on a result of the comparing, to create a second set of UEs served by the beam with the adjusted beamwidth in a subsequent TTI; and forming the beam with the adjusted beamwidth.

Abstract: Embodiments herein relate to a module which can be inserted into or removed from a computing device by a user. The module includes an input-output port which is configured for a desired specification, such as USB-A, USB-C, Thunderbolt, DisplayPort or HDMI. The port can be provided on an expansion card such as an M.2 card for communicating with a host platform. The host platform can communicate with different types of modules in a standardized way so that complexity and costs are reduced. In another aspect, with a dual port module, the host platform can concurrently send/receive power through one port and send/receive data from the other port.

Abstract: Aspects of present disclosure relate to an automated guided schedule agriculture spraying machine. The automated guided schedule agriculture spraying machine comprises of a plurality of navigation sensors for navigation of the machine; a plurality of vision sensors for path detection; a navigation module to determine location; a plurality of wheel differential drive units to drive the machine; a processor for controlling operation; and a sprayer module for spraying chemicals on plants. It is an automated guided schedule agriculture spraying machine having RTK-DGPS navigation system useful for performing precise and efficient spraying of chemicals. In addition to forward/rear travel, the machine is able to operate in traverse, sidling and spin-turn travel. Both travel and elevation are electrically operated and completely oil-free, avoiding oil spill contamination of the floor surface.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive structural analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive structural analysis using at least one of table column classification machine learning models, table column clustering machine learning models, structural variance generation machine learning models, and emergence report generation machine learning models.

Abstract: A set of rules and a current context for a user is obtained. The set of rules and the current context are used to determine a rule weight for each of a set of user interface elements. One or more of the user interface elements is caused to be displayed. Which user interface elements are displayed is based at least in part on the rule weights.

Abstract: Techniques for dynamic data transaction processing using gating criteria are described, including receiving data associated with an order, retrieving other data associated with one or more resources configured to fulfill the order, using the other data and one or more gating criteria to generate a determination to dynamically allocate the data associated with the order, and dynamically allocating the data to one or more of a plurality of services using the determination.

Abstract: A location aware mobile marketplace application and system is described, including techniques for fulfilling requests associated with a location aware mobile marketplace comprising obtaining a location of a client using client location data retrieved from the client, receiving a request associated with one or more items, each of the one or more items associated with a venue and being identified in a database, determining if the one or more items are available to be supplied in response to the request, and fulfilling the request after determining that the one or more items are available to be supplied.

Abstract: A set of rules and a current context for a user is obtained. The set of rules and the current context are used to determine a rule weight for each of a set of user interface elements. One or more of the user interface elements is caused to be displayed. Which user interface elements are displayed is based at least in part on the rule weights.

Abstract: A set of rules and a current context for a user is obtained. The set of rules and the current context are used to determine a rule weight for each of a set of user interface elements. One or more of the user interface elements is caused to be displayed. Which user interface elements are displayed is based at least in part on the rule weights.

Abstract: A delay locked loop (DLL) circuit in which situations of lock to multiple periods of a reference signal is determined by a lock detector using dummy delay elements and a duty cycle correction circuit (DCC). The lock detector, the dummy delay elements and the delay control circuit are used in a path parallel to the delay elements which generate the desired delayed signals having different delays in relation to the reference signal. Due to the use of the parallel path, the throughput performance of the DLL circuit is not impeded. In an embodiment, separate charge pumps are used by a phase comparator and the lock detector used in the parallel path.

Abstract: A switched-capacitor circuit for use in analog-to-digital conversion samples an input signal with respect to a reference voltage such that it significantly reduces a DAC settling time interval during each bit trial. In one exemplary embodiment, the switched-capacitor circuit having first and second groups of capacitor banks is coupled to a first input of a comparator and to a control circuit which provides control signals such that during a switching sequence, an equal value of capacitance is selected from each of the first and second groups of capacitor banks to reduce the DAC settling time interval, thereby improving the conversion rate.

Abstract: The present invention introduces an innovative data mining technique to identify precursory signals associated with earthquakes. It involves a multistrategy approach that employs one-dimensional wavelet transformations to identify singularities in data, and analyzes the continuity of wavelet maxima in time and space to determine the singularities that could be precursory signals. Surface Latent Heat Flux (SLHF) data may be used. A single prominent SLHF anomaly may be found to be associated some days prior to a main earthquake event.

Abstract: Crop yield may be assessed and predicted using a piecewise linear regression method with break point and various weather and agricultural parameters, such as NDVI, surface parameters (soil moisture and surface temperature) and rainfall data. These parameters may help aid in estimating and predicting crop conditions. The overall crop production environment can include inherent sources of heterogeneity and their nonlinear behavior. A non-linear multivariate optimization method may be used to derive an empirical crop yield prediction equation. Quasi-Newton method may be used in optimization for minimizing inconsistencies and errors in yield prediction. Minimization of least square loss function through iterative convergence of pre-defined empirical equation can be based on piecewise linear regression method with break point. This non-linear method can achieve acceptable lower residual values with predicted values very close to the observed values.