91 results about "Down scaling" patented technology

A mobile station and methods are disclosed for diagnosing and modeling site specific effluent treatment facility requirements to arrive at a treatment regimen and/or proposed commercial plant model idealized for the particular water/site requirements. The station includes a mobile platform having power intake, effluent intake and fluid outflow facilities and first and second suites of selectably actuatable effluent pre-treatment apparatus. An effluent polishing treatment array is housed at the station and includes at least one of nanofiltration, reverse osmosis and ion-exchange stages. A suite of selectively actuatable post-treatment apparatus is housed at the station. Controls are connected at the station for process control, monitoring and data accumulation. A plurality of improved water treatment technologies is also disclosed. The modeling methods include steps for analyzing raw effluent to be treated, providing a field of raw effluent condition entry values and a field of treated effluent condition goals entry values, and utilizing said fields to determine an initial treatment model including a selection of, and use parameters for, treatment technologies from the plurality of down-scaled treatment technologies at the facility, the model dynamically and continuously modifiable during treatment modeling.

Integrated memory circuits, key components in thousands of electronic and computer products, have recently been made using ferroelectric memory transistors, which offer faster write cycles and lower power requirements than over conventional floating-gate transistors. One problem that hinders the continued down-scaling of conventional ferroelectric memory transistors is the vulnerability of their gate insulations to failure at thinner dimensions. Accordingly, the inventors devised unique ferroelectric gate structures, one of which includes a high-integrity silicon-oxide insulative layer, a doped titanium-oxide layer, a weak-ferroelectric layer, and a control gate. The doped titanium-oxide layer replaces a metal layer in the conventional ferroelectric gate structure, and the weak-ferroelectric layer replaces a conventional ferroelectric layer. These replacements reduce the permittivity mismatch found in conventional gate structures, and thus reduce stress on gate insulation layers, thereby improving reliability of ferroelectric memory transistors, particularly those with thinner gate insulation.

A demodulation image sensor, such as used in time of flight (TOF) cameras, extracts all storage- and post-processing-related steps from the pixels to another array of storage and processing elements (proxels) on the chip. The pixel array has the task of photo-detection, first processing and intermediate storage, while the array of storage and processing elements provides further processing and enhanced storage capabilities for each pixel individually. The architecture can be used to address problems due to the down-scaling of the pixel size. Typically, either the photo-sensitivity or the signal storage capacitance suffers significantly. Both a lower sensitivity and smaller storage capacitances have negative influence on the image quality. The disclosed architecture allows for keeping the storage capacitance unaffected by the pixel down-scaling. In addition to that, it provides a high degree of flexibility in integrating more intelligence into the image sensor design already on the level of the pixel array. In particular, if applied to demodulation pixels, the flexibility of the architecture allows for integrating on sensor-level concepts for multi-tap sampling, mismatch compensation, background suppression and so on, without any requirement to adjust the particular demodulation pixel architecture.

The invention provides a method for monitoring the regional evapotranspiration on the basis of remote sensing, comprising the following steps of: (1) obtaining the multi-temporal and multi-resolution satellite remote-sensing image data at a specific region; (2) carrying out remote sensing inversion to the key parameters on the ground surface; (3) calculating the impedance of each pixel during the exchanging process of the geogas energy by a remote-sensing geogas exchanging model, calculating the sensible heat flux used for heating the air above each pixel, calculating the latent heat energy by an energy remainder formula and inquiring into effective surface impedance; (4) establishing a surface impedance model in a daily dimension so as to obtain a daily ground surface impedance; and (5) working out the daily evapotranspiration by applying a P-M model repeatedly and carrying out time accumulation and dimension down-scaling, thus finally determining the regional ground surface evapotranspiration. According to the validation of the practical measurement at multi-regions, the method for monitoring the regional evapotranspiration is proved to be effective.

The invention discloses a big data combined complex terrain wind electric field design platform and method. The big data combined complex terrain wind electric field design platform comprises a simulation platform, a big data workstation and an optimization layout platform; the simulation platform comprises a meso-scale numerical simulation module, a down-scale wind resource model module, a terrain considered wind field flowing model module and a wake stream model module which are connected successively; the data workstation comprises a wind electric field big data platform and a data analysis model module; and the optimization layout platform comprises a wind electric field generating capacity calculation model module, and a wind electric field optimization layout calculation model module. According to the big data combined complex terrain wind electric field design platform and method disclosed by the invention, a generating capacity model is corrected based on the big data workstation; operation modes and geographical factors which affect fan equipment are embodied in generating capacity calculation to reduce a fatigue loading rate of a fan; and thus, the maintenance cost is reduced, and the fan arrangement is optimized reasonably.

The disclosure is directed to a video processing apparatus and a video processing method thereof. In one of the exemplary embodiments, the disclosure is directed to a video processing apparatus which includes not limited to a storage medium configured to store a first video file, a down-scaling module coupled to the storage medium and configured to down-scale the first video file into a second video file, a learning machine module configured to receive the first video file and a third video file which is processed from the second multimedia file and generate a trained model out of the first video file and the third video file, and a transmitter configured to transmit a data package which comprises a compression of the second video file and a compression of the trained model.

Super-resolution refers to a process of recovering the missing high-frequency details of a given low-resolution image. Known single image SR algorithms are often computationally intractable or unusable for most of the practical applications. The invention relates to a method for performing hierarchical super-resolution based on self content neighboring patches information is based on pyramidal decomposition. The intrinsic geometric property of an input LR patch neighborhood is obtained from the input LR patch and its K nearest neighbors taken from different down-scaled versions of the LR image.

A method and system for efficient scaling in the transform domain, wherein transform coefficient data is provided as an input to a data processing system and scaled in the transform domain by application of a combined matrix. Some embodiments utilize discrete cosine transform data. One embodiment of the invention generates a combined matrix for one-dimensional scaling by selecting a rational scaling factor and matrix dimension value, generating a matrix with some zero values, applying a one-dimensional inverse transform, regrouping, and applying a one-dimensional forward transform. One application of the invention performs up-scaling operations, and another performs down-scaling operations. The invention also provides for two-dimensional scaling by selecting horizontal and vertical scaling parameters and generating first and second combined matrices responsive to the parameters and combining them into a single combined matrix. The invention may also incorporate a predetermined cost function.

An embodiment of an acoustic echo cancellation system is disclosed. The system comprises an echo cancellation unit, a second filter and a subtraction unit. The echo cancellation unit comprises a first attenuator, a first filter and a first subtractor. The first attenuator has a first down-scaling factor for attenuating a first signal. The first filter generates a first echo signal estimate based on the attenuated first signal. The first subtractor generates a third signal by subtracting the first echo signal estimate from a second signal. The second filter generates a second echo signal estimate based on the first signal. The subtraction unit subtracts the second echo signal estimate from the third signal.

The invention discloses a mobile terminal test system, comprising a rail, a test carriage, a customized antenna, base station equipment and a control center, wherein the rail is a down scaled one relative to the rail in a traditional external-field test system; the test carriage is used for bearing a mobile terminal to be tested, to run on the rail; the customized antenna is arranged at the periphery of the rail, and radio waves transmitted by the customized antenna form a cell covering the rail on the rail; the base station equipment is connected with the customized antenna and is used for processing a mobile communication signal and transmitting the processed mobile communication signal via the radio waves based on the customized antenna; and the control center is used for controlling the working modes of the customized antenna and the base station equipment and monitoring the running state of the test carriage. By applying the mobile terminal test system disclosed by the invention, the problem that the traditional external-field test system is difficult to erect is solved, and the occupying area, deploying difficulty and cost of the test system are reduced.

The versatile method of spatial and SNR scalable picture compression comprises: high resolution encoding (202a) an input picture (vi) yielding high resolution encoded data (coHR,LQ), being the base data; deriving a first down-scaled representative picture (pl) on the basis of the high resolution encoded data (coHR,LQ); deriving a second down-scaled representative picture (p2) on the basis of the input picture (vi); and lower resolution encoding (214) lower resolution quality enhancement data (coMR,MQ), usable for improving the visual quality of a picture reconstructable from the high resolution encoded data (coHR,LQ), on the basis of comparing the first down-scaled representative picture (pl) with the second down-scaled representative picture. This enables good bit-rate distribution for multi-resolution, multi-quality users.

According to some embodiments, a Single-Instruction/Multiple-Data (SIMD) averaging instruction is used to process pixels of image data. The averaging instruction generates a set of four-pixel averages, where each average is generated from two pixels in a first source register and two pixels in a second source register. The first source register contains a plurality of pixels from a first row of pixels and the second source register contains a plurality of pixels from a second row. In one embodiment, the first and second rows are adjacent rows in an image and the averaging instruction is used, for example, to down-scale an image, perform color conversion, and the like. In another embodiment, the first and second rows are from different images and the averaging instruction is used, for example, in motion estimation for video encoding, in motion compensation for video decoding, and the like.

An apparatus for scaling images is provided that includes at least two input ports, a scaling component coupled to the at least two input ports, the scaling component including a plurality of scalers, the scaling component configurable to map any scaler to any input port of the at least two input ports and configurable to map more than one scaler to any input port, and a memory coupled to the at least two input ports and to outputs of the plurality of scalers, the memory configured to store image data for each input port and scaled image data output by the plurality of scalers.

Disclosed herein is a real-time face detection apparatus. The real-time face detection apparatus includes a down-scaling unit and a face region comparison unit. The down-scaling unit down-scales an input image at at least one ratio. The face region comparison unit creates a plurality of windows for the image down-scaled at the at least one ratio, acquires face region confidence of each of window images within the created windows by comparing the window image with a classifier, and determines whether the window image corresponds to a face region.

A method and an apparatus for determining an up scale factor and a down scale factor according to a scale factor received from a graphics application program interface (API) to scale a graphics data in a graphics processing unit (GPU) are described. The up scale factor and the down scale factor may be precisely stored in the GPU based on a fixed number of bits. An actual scale factor which can be precisely stored in the GPU corresponding to the scale factor may differ from the scale factor with a difference. Graphics commands may be sent to the GPU to scale the graphics data according to the up scale factor and the down scale factor separately. A combined scale factor corresponding to a combination of the up scale factor and the down scale factor may differ from the scale factor less then the difference between the actual scale factor and the scale factor

The invention discloses a downscaling correction method of precipitation data of a mountain satellite. The method comprises the following steps: reading of TRMM 3B42.V7 satellite precipitation data and carrying out monthly precipitation statistics; carrying out correcting variable fusion and spatial scale unification; establishing a regression downscaling model; and carrying out cross validation and downscaling correction execution. According to the invention, the observation precipitation data of the mountain meteorological station are fused into the downscaling correction process of the satellite precipitation data and the method optimization is carried out by using the cross-validation technology, so that advantages of the limited observation data in the mountain area are fully utilized, the precision of the precipitation after the down-scaling correction and consistency with the measured data series are greatly improved. In addition, the invention also puts forward a multi-method comparison reviewing type downscaling correction technique, so that a system deviation problem of the single downscaling correction method is solved, the satellite precipitation data downscaling correction method system is enriched, and the credibility of the results is enhanced. According to the method, the adaptability to the downscaling correction of typical mountain satellite precipitation products is enhanced; and related results can provide strong support for the system to grasp the temporal and spatial distribution characteristics of precipitation in mountainous areas.

One or more high-order bit linear branches of a segmented DAC are implemented as R-2R networks geometrically down-scaled from the DAC binary portion by a selected factor. The resulting increase in closely-located mismatch is compensated for by implementing a trim circuit at a low-order end of each such linear branch. The trim circuit is designed with a number of trim steps to compensate for the selected linear branch down-scaling factor. Each trim step switches a resistance into the low-order end of the linear branch resulting in an even resistance increment or decrement at the lumped linear branch output. The trim circuit is calibrated to provide an amount of trim at the linear branch output such that the lumped resistance of the trimmed linear branch matches the lumped resistance of the binary portion within a selected tolerance (e.g., generally +/−0.5 LSB).

A high speed data serial connection interface apparatus, CPRI transmitting and receiving methods thereof are disclosed. A high speed data serial connection interface apparatus according to the present invention includes: a data transmitter configured to count a continuous NCB of 0 or 1 in an input data block, select an LSI value, and perform up scaling on data in the block in accordance with the selected LSI value to transmit the data through an optical fiber in accordance with a CPRI (common public radio interface) protocol; and a data receiver configured to receive the data transmitted by the data transmitter, restore the LSI value from the received data, and perform down scaling on the received data in accordance with the restored LSI value to restore original data.

In a method and a device for calculation of the Discrete Cosine Transform (DCT) only the DCT coefficients representing the first half and the second half of an original sequence are required for obtaining the DCT for the entire original sequence. The device and the method are therefore very useful when calculations of DCTs of a certain length is supported by hardware and/or software, and when DCTs of other sizes are desired. Areas of application are for example still image and video transcoding, as well as scalable image and/or video coding and decoding.