317 results about "Pre selection" patented technology

The invention discloses a preselecting method of low-grade magnetic iron ore, comprising the steps of crushing the raw ore of the magnetic iron ore by coarse crushing, intermediate crushing and fine crushing operations, conveying to subject to ultra-fine crushing operation, and then crushing by a high-pressure roller mill, scattering the crushed product by a wet cylindrical sieve, conveying the ore on the cylindrical sieve to the vibrating sieve by a belt to perform wet gradation, conveying the ore on the vibrating sieve to a dry magnetic separator by the belt to discard the waste, returning the ore concentrate of the dry magnetic separator to the high-pressure roller mill to crush the ore concentrate again, perform magnetic separation and discarding tailings of the ore concentrate below the vibrating sieve and the ore concentrate below the cylindrical sieve in a wet coarse grain intermediate-field intensity magnetic separator, and selecting the coarse ore concentrate of the intermediate-field intensity magnetic separator by a grinding separation technology. The invention has the advantages that the invention selects quantities of qualified mine tailings by wet magnetic separation before grinding ore, reduces ore grinding work, reduces ore grinding energy consumption and has high system processing capacity; the invention can be widely used in magnetic ore dressing plant, and in particular suitable for treatment of preselecting low-grade magnetic iron ore with the iron grade lower than or equal to 22%.

A transport stream and channel selection system for digital video transmissions and associated method are disclosed that use predictive analyses to tune additional digital transport streams that contain desirable or optimal groupings of multiplexed channels. An analysis is made of which channels are multiplexed together at any given time to determine which transport streams provide a desirable and/or optimal combination of multiplexed channels, and a wide variety of information and algorithms can be used in determining the transport streams and channels to select. Thus, in addition to having available the channels multiplexed with the currently selected channel, a plurality of other channels multiplexed together in additional digital transport streams are made available for pre-processing. As such, the available channels for use in providing predictive pre-selection and for use in reducing delay experienced by a user in changing channels are greatly enhanced.

The content of the invention comprises a concept of multi-beam ion pre-selection from a single sample, coordinated mobility (against the gas flow) separation, cooling ions in supersonic gas flow and mass separation of thus low divergent ions by single or plural compact high-resolution orthogonal time-of-flight mass spectrometers both linear or reflectron type with controlled collision-induced dissociation (CID) and multi-channel data recording for the optimization of sample use in the analysis, and obtaining as much useful information about the sample as possible in a reasonably short time.

An x-ray diagnostic apparatus and methods performs Real-Time Digital Radiography with particular application in dental x-ray imaging modalities, such as Orthopantomography, Scannography, Linear Tomography and Cephalography, by using a versatile and modular electronic unit, featuring ultra fast computation capability to serve diversified image sensor typology and scanning modality.

In Digital Orthopantomography and Scannography, a plurality of tomographic images at different depths of the jaw can be generated, based on the pre-selection made by the user interface.

The image processing unit utilizes for the tomo-synthesis of the diagnostic image an accurate and economic digital simulator of the radiographic film speed, including a digital frequency synthesizer fed with film cassette speed digital input and high resolution clock signal, ensuring accurate and reproducible phase continuity of the output frequency signal.

It also introduces an automatic adaptation of the frame acquisition rate in frame transfer mode, based on the actual speed of the cassette unit. By this method the dynamic of the exposure signal is reduced, and a better optimization of the signal response of the x-ray detector is achieved.

A light fixture for holding LED tubes. A pair of end caps are held together by an elongated member. Female connectors mounted to the end caps receive the male connectors of the LED light tubes. The female connectors are mounted to the end caps allowing for the pre-selection of the angle of illumination.

The present invention relates generally to instrumentation and methodology for the characterization of chemical samples in solutions or on a surface which is based on modified ionization methods with or without adjustable pH and controllable H-D exchange in solution, an improved ion mobility spectrometer (IMS), a multi-beam ion pre-selection of the initial flow, and coordinated mobility and mass ion separation and detection using a single or several independent time-of-flight mass spectrometers for different beams with methods for fragmenting ion mobility-separated ions and multi-channel data recording

The invention discloses a real-time robust far infrared vehicle-mounted pedestrian detection method. The method comprises the steps of catching a potential pedestrian pre-selection area in an input image through a pixel gradient vertical projection, searching an interest area in the pedestrian pre-selection area through a local threshold method and morphological post-processing techniques, extracting a multi-stage entropy weighing gradient direction histogram for feature description of the interest area, inputting the histogram to a support vector machine pedestrian classifier for online judgment of the interest area, achieving pedestrian detection through multi-frame verification and screening of judgment results of the pedestrian classifier, dividing training sample space according to sample height distribution, building a classification frame of a three-branch structure, and collecting difficult samples and a training pedestrian classifier in an iteration mode with combination of a bootstrap method and an advanced termination method. According to the real-time robust far infrared vehicle-mounted pedestrian detection method, not only is accuracy of pedestrian detection improved, but also a false alarm rate is reduced, input image processing speed and generalization capacity of the classifier are improved, and provided is an effective night vehicle-mounted pedestrian-assisted early warning method.

The present invention carries out pre-selection on many LPC codevectors stored in an LSF codebook 101 using a weighted Euclidean distortion as a measure and carries out a full-code selection on the LPC codevectors left after the pre-selection using an amount of distortion in a spectral space as a measure. This makes it possible to improve the quantization performance of the LPC parameter vector quantizer and improve the quality of synthesized speech of the speech coder/decoder.

A method for generating concatenative speech uses a speech synthesis input to populate a triphone-indexed database that is later used for searching and retrieval to create a phoneme string acceptable for a text-to-speech operation. Prior to initiating the “real time” synthesis process, a database is created of all possible triphone contexts by inputting a continuous stream of speech. The speech data is then analyzed to identify all possible triphone sequences in the stream, and the various units chosen for each context. During a later text-to-speech operation, the triphone contexts in the text are identified and the triphone-indexed phonemes in the database are searched to retrieve the best-matched candidates.

A method, system and computer-readable medium of filtering noise pixels and other extraneous data, including saturated fat tissue and air data in image data is provided. Examples of image data may include but are not limited to magnetic resonance imaging data and computed tomography data. The method includes receiving pixel count for each signal intensity value of the image data; determining a signal intensity value, I_peak, corresponding to a pixel count of a greatest number of pixels, N_peak; setting a noise threshold at a signal intensity value, I_noise, corresponding to a pixel count, N_I, such that N_I, is determined based on N_peak; and filtering from the image data one or more pixels with signal intensity values below the noise threshold. N_I, may be determined such that N_I=N_peak/3 or close to N_peak/3.

The present invention sets forth a method for performing packet combined scheduling of dedicated transport channels for packet services in UMTS downlinks, comprising the following steps: a) prior to each DCH scheduling period, performing pre-selection processing of a transport format combination of each DPCH according to the predetermined restriction conditions for the DCH combined packet scheduling, so as to determine a usable transport format combination set for each DPCH; b) restricting a total downlink transmit power of DCHs for NRT packet services to a schedulable power not exceeding a schedulable power value in the estimation of a total downlink power during said scheduling period; c) based on the fairness of DCH transportation and the QoS requirements of the DCH-borne services, determining weighted values which the respective DCHs correspond to in the optimization of the DCH combined packet scheduling; and d) based on the results of steps a), b), and c), calculating the maximum number of bits which each DCH is schedulable to output, using a 0-1 programming algorithm. The present invention guarantees the fairness, priority and QoS (Quality of Service) of different DCHs and can achieve maximum total data throughput.

The invention discloses a ship multi-target detection method based on rotation area extraction, and the method comprises the steps of collecting a remote sensing image containing a ship target, and cutting the remote sensing image into a set size; carrying out rotation rectangle marking on ship the targets contained in the remote sensing images respectively, and taking the remote sensing images marked with rotation rectangles as a training set and a test set; inputting the training set into a ship multi-target detection model for training; inputting the remote sensing image to be detected intothe trained ship multi-target detection model for detection to obtain a preliminary detection result comprising a ship target pre-selection frame and the corresponding confidence; and calculating a rotation intersection-union ratio of the preselected frame with the highest confidence coefficient and other preselected frames, and deleting the preselected frame with the rotation intersection-unionratio greater than a set threshold to obtain a final detection result. By predicting the minimum area circumscribed rectangle of the ship target, the position, the length, the width and the axial information of the ship target are accurately outputted, the multi-target detection is realized, and the detection performance is remarkably improved.

In some locations, such as airports, drivers that provide passenger transport must wait a significant distance away from the pickup location. To reduce the delay between a passenger requesting a ride and being picked up, drivers are pre-dispatched before being assigned to specific passengers. The demand for a future time period is predicted and the number of drivers that should be pre-dispatched to meet that demand is estimated. The estimated number of drivers is sent pre-dispatch instruction indicating they should leave the waiting area and head towards the pickup location.

A robust method for addressing each of the participants of a bus system comprising a control unit, and a bus and a plurality of addressable participants connected to the bus, comprising the steps of a) pre-selecting a first number of participants, b) selecting from the pre-selected participants a second number of participants, and c) assigning one or more addresses to them, and repeating the steps a) to c). The selection and pre-selection is based on current sources, specific threshold values, and measurement error. The bus system and addressable device (are also claimed.

A method, system and computer program product for automatically alerting one or more recipients of the arrival of an individual to a known destination via a global positioning system (GPS) navigation device. To issue an accurate alert of arrival time and or distance, the device enables: (1) pre-selection of two or more locations from a plurality of mapped locations; (2) pre-selection of one or more devices to which an alert is to be sent when the GPS device passes through the pre-selected locations; and (3) pre-selection of a time during which the alert should be triggered. The device automatically sends an alert to one or more devices when the GPS device passes through the pre-selected locations during the pre-selected time period, wherein the alert informs the user of the one or more recipient devices that the individual (corresponding to the GPS device) has commenced a journey to the destination.

The invention belongs to the technical field of power load identification, and particularly relates to a non-intrusive household appliance load identification method. Firstly, a household appliance load is regarded as an independent system, steady-state voltage and steady-state current data in the case of independent operation of each household appliance load are acquired, and according to steady-state current wave crest coefficients, loads are divided into a type of approximately linear loads and a type of nonlinear loads; the steady-state voltage then serves as input data, the steady-state current serves as output data, a system identification method is used for building models for the two types of loads, and a model library is formed; and finally, the steady-state voltage and the steady-state current of a to-be-identified load are acquired, a model library type is determined through pre-selection, and the load is identified according to a model matching principle. The actually-measured data can be used for effectively identifying the linear loads and the nonlinear loads, the algorithm is simple, the operational efficiency is quick, the method can be applied to a condition with increased loads in a home network, large-scale training is not needed when a new load is added to a power consumption network, and a model only needs to be built for the load, and the model is added to the corresponding model library.

The invention discloses a container scheduling method associated with time based on a Kubernetes container cluster, and belongs to the technical field of cloud computing. According to the method, whether judgment is carried out in a time range or not is added between a pre-selection strategy and an optimal selection strategy of a scheduler of the Kubernetes cluster; calculating the average load score of the pre-selected available Node. According to the technical scheme provided by the invention, whether the scheduling operation is further carried out or not can be decided by comparing the scheduling operation with the preset score, so that the normal operation of the existing business application is ensured, and some tasks with time correlation can better utilize resources in the cluster.For example, in the morning at night, According to the technical scheme of the invention, when the load of the business application is large, the time period is the time period with the load of most business applications being not heavy, the time period is very suitable for some big data offline computing tasks, the tasks are allocated to the Node where the business application is located within the time period, the operation efficiency of the big data tasks can be improved, and the utilization rate of hardware resources in the cluster can be improved.

Systems and methods for payment system pre-selection environment processing are provided. One such method comprises receiving payment information from a payment device from a consumer. The method further comprises executing a pre-selection phase to determine a preferred application identifier (AID) and routing option based on the payment information. The method also comprises completing a transaction using the preferred AID and routing option.

The invention discloses a sensor-network-based low-energy-consumption ecological environment monitoring node deploying method and relates to the Internet of Things. The method comprises the following steps: firstly determining factors to be monitored and key points with relative factors; building an optimal mathematic monitoring model according to the monitored factors and the key points; then solving the mathematic model and finding a key point with most attributes and taking the key point as a pre-selection point; invoking an attribute optimizing method for selecting the key points with all the attributes which are close to an attribute mean value if the number of the pre-selection points is greater than 1; invoking a crop growth factor weighing method for determining monitoring points if more than two pre-selection points exist after the treatment; randomly determining that the pre-selection points processed by the crop growth factor weighing method are taken as the monitoring points by using a random algorithm; finally processing a matrix T formed by the key points and the attributes by using a matrix optimizing method of the key points and the attributes to obtain the number of the final monitoring nodes and the distribution positions of the monitoring nodes.