44 results about "Aggregate level" patented technology

A delivery unit for providing aggregate to a worksite, such as a wellsite location. The unit may include a mobile chassis for accommodating a plurality of modular containers which in turn house the aggregate. As such, a weight measurement device may be located between each container and the chassis so as to monitor aggregate levels within each container over time. The units may be particularly well suited for monitoring and controlling aggregate delivery during a fracturing operation at an oilfield. The modular containers may be of an interchangeable nature. Furthermore, a preferably wireless control device may be provided for monitoring and directing aggregate delivery from a relatively remote location.

A method of defining aggregate levels to be used in aggregation in a data store having one or more dimensions. Levels are defined corresponding to attributes in the dimension, so that data can be aggregated into aggregates corresponding to values of those attributes. The invention provides for the definition of sub-levels which act as levels but define which detail entries in the associated dimension will contribute to the sub-level. The invention also provides for the definition of level groups. A level group can replace a level in a level cross-product and such a cross product is then expanded before aggregation into a set of cross products, each containing one of the level group entries.

Congestion within a communication is controlled by rate limiting packet transmissions over selected communication links within the network and modulating the rate limiting according to buffer occupancies at control nodes within the network. Preferably, though not necessarily, the rate limiting of the packet transmissions is performed at an aggregate level for all traffic streams utilizing the selected communication links. The rate limiting may also be performed dynamically in response to measured network performance metrics; such as the throughput of the selected communication links input to the control points and/or the buffer occupancy level at the control points. The network performance metrics may be measured according to at least one of: a moving average of the measured quantity, a standard average of the measured quantity, or another filtered average of the measured quantity. The rate limiting may be achieved by varying an inter-packet delay time over the selected communication links at the control points. The control points themselves may be located upstream or even downstream (or both) of congested nodes within the network and need only be located on only a few of a number of communication links that are coupled to a congested node within the network. More generally, the control points need only be associated with a fraction of the total number of traffic streams applied to a congested node within the network.

A fault injection circuit injects a test signal into a data bus with a normal high logic level and a normal low logic level. The test signal has a greater logic level greater than the normal high logic level of the data bus or a lower logic level lower than the normal low logic level of the data bus. An analog-to-digital converter is coupled to a voltage level detector for sensing an aggregate level of an aggregate signal on the data bus. The aggregate signal is composed of the termination circuit signal and the test signal. A diagnostic tool determines whether a faulty connection between the data bus and a network device exists, where the sensed aggregate level exceeds at least one of the normal high logic level and the normal low logic level.

A driver training system includes a training controller, a heads-up display device, and a driving cue adherence controller. The training controller is configured to receive inputs related to an operational state of a vehicle and an environment surrounding the vehicle, and to determine a driving cue based on the received inputs. The heads-up display device is configured to present the driving cue as an augmented reality graphic element in view of a driver by projecting graphic elements on a windshield of the vehicle. The driving cue adherence controller is configured to continuously determine a current level of adherence to the driving cue, and an aggregate level of adherence to the driving cue based on the continuously determined current level of adherence to the driving cue over a predetermined time period. The heads-up display device is configured to present the continuously determined aggregate level of adherence in view of the driver.

A method for configuring a search space of a downlink control channel is provided. The method includes determining the parameters for Enhanced Physical Downlink Control Channel (E-PDCCH) candidates of each aggregate level according to the number of Resource Elements (RE) in a subframe and/or the number of bits of Downlink Control Information (DCI) formats, when the parameters for E-PDCCH candidates of E-PDCCH search space is configured, determining, by a User Equipment (UE), the parameters for E-PDCCH candidates according to a current downlink subframe and a detected DCI format, and detecting blindly, by the UE, the E-PDCCH candidates in the E-PDCCH search space corresponding to the parameters for E-PDCCH candidates. The present invention also provides a UE and a base station. Application of the present invention can improve the flexibility of the base station scheduling, and reduce the possibility that the E-PDCCHs of different UEs block each other.

Techniques for monitoring one or more transaction instances in a real-time network are provided. The techniques include obtaining one or more system log files, wherein one or more footprints left by one or more transaction instances are recorded in the one or more system log files, obtaining a transaction model, wherein the transaction model comprises one or more transaction steps and a footprint pattern corresponding with each transaction step, and using the one or more system log files and the transaction model to monitor the one or more transaction instances in a real-time network at least one of an individual level and one or more aggregate levels.

An improved system and method for detecting network anomalies comprises, in one implementation, a computer device and a network anomaly detector module executed by the computer device arranged to electronically sniff network traffic data in an aggregate level using a windowing approach. The windowing approach is configured to view the network traffic data through a plurality of time windows each of which represents a sequence of a feature including packet per second or flow per second. The network anomaly detector module is configured to execute a wavelet transform for capturing properties of the network traffic data, such as long-range dependence and self-similarity. The wavelet transform is a multiresolution transform, and can be configured to decompose and simplify statistics of the network traffic data into a simplified and fast algorithm. The network anomaly detector module is also configured to execute a bivariate Cauchy-Gaussian mixture (BCGM) statistical model for processing and modeling the network traffic data in the wavelet domain. The BCGM statistical model is an approximation of α-stable model, and offers a closed-form expression for probability density function to increase accuracy and analytical tractability, and to facilitate parameter estimations when compared to the α-stable model. Finally, the network anomaly detector module is further configured to execute a generalized likelihood ratio test for detecting the network anomalies.

The disclosure provides a method of reducing aggregates in a preparation of monoclonal antibody by modifying at least three parameters in the bioreactor culture process.

A system for forecasting sales of a retail item receives historical sales data of a class of a retail item, the historical sales data including past sales and promotions of the retail item across a plurality of past time periods. The system aggregates the historical sales to form a training dataset having a plurality of data points. The system randomly samples the training dataset to form a plurality of different training sets and a plurality of validation sets that correspond to the training sets, where each combination of a training set and a validation set forms all of the plurality of data points. The system trains multiple models using each training set, and using each corresponding validation set to validate each trained model and calculate an error. The system then calculates model weights for each model, outputs a model combination including for each model a forecast and a weight, and generates a forecast of future sales based on the model combination.

Methods for reduction of aggregate levels in antibody and other protein preparations through treatment with low concentrations of electropositive organic additives (e.g., ethacridine, chlorhexidine, or polyethylenimine) in combination with ureides (e.g., urea, uric acid, or allantoin) or organic modulators (e.g., nonionic organic polymers, surfactants, organic solvent or ureides). Some aspects of the invention relate to methods for reducing the level of aggregates in conjunction with clarification of cell culture harvest. It further relates to the integration of these capabilities with other purification methods to achieve the desired level of final purification.

The invention discloses semi-aromatic polyamide and a preparation method thereof. The preparation method comprises the following steps that (a), dicarboxylic acid and diamine are subjected to a neutralization reaction with water as the solvent, and a semi-aromatic polyamide salt solution is formed; (b), the semi-aromatic polyamide salt solution obtained in the step (a) is further subjected to warming, polycondensation of the solution is promoted by continuous drainage, and after prepolymerization of the solution, semi-aromatic polyamide prepolymer is obtained; (c), the semi-aromatic polyamide prepolymer obtained in the step (b) is subjected to a viscosity-enhancing reaction, and the semi-aromatic polyamide is obtained. According to the preparation method, the aggregate-level dicarboxylic acid and diamine are adopted, so that the operational process is simplified; a diamine online separation recovery device is used for conducting separation and recycling on the diamine in a prepolymerization process, so that the volatilization loss of the diamine along with water vapor is effectively reduced, and pollution generation is avoided; the molar ratio of the diamine to the dicarboxylic acid in the prepolymerization process is kept, so that the yield coefficient is increased, and the product with stable quality is obtained.