32results about How to "Maintain fidelity" patented technology

Compressing a data file representing an image wherein one or more regions within the image are identified. At least one of the regions is selected and the data corresponding to the selected region is compressed at a different rate that the data corresponding to non-selected regions of the image. The different compression rates are selected to maintain a desired fidelity in an image reconstructed from the compressed data file. The different compression rates can be predetermined, selected by a user, or automatically selected. Compression rates can be based upon the type of image to be compressed such as x-ray, CT scan or MRI images, the structure that is being analyzed, parameters regarding the use of the image, system parameters such as storage capacity available, or bandwidth of a communication channel used to transmit the compressed file.

A method and apparatus are described which reduce the presence of an unwanted signal. According to one embodiment, a first signal is provided from a desired location that includes an unwanted signal while a second signal is provided from an alternate location (e.g., one where the unwanted signal is less of a proportion of the total signal). The first and alternate signals are provided to respective signal processors. A level for a selected frequency band of the first and alternate signals is adjusted so that an increase in one results in a decrease in the other. Doing so allows the frequency band that includes the unwanted signal to be reduced in the desired first signal and filled in with a similar frequency band from the alternate signal.

One aspect of the present invention relates to a new alternative to the Bayer pattern for spatial subsampling in color imaging applications. One aspect of the present invention relates to a new design paradigm for spatio-spectral sampling, which is also described. The proposed scheme offers the potential to significantly reduce hardware complexity in a wide variety of applications, while at the same time improving output color image quality. According to another aspect, it is realized that conventional processing techniques are subject to diminishing returns, and with the exception of the most sophisticated processing techniques generate imperfections perceptible to a practiced eye. According to one aspect, a framework for CFA design in presented. In one embodiment the physical characteristics of the CFA are generated so that the spectral radii of luminance and chrominance channels are maximized. In another embodiment, the CFA designed to subject to the conditions of perfect reconstruction. In one aspect, the physical characteristics of CFA design are constrained to require physically realizable CFA(s). Alternatively, certain physical characteristics can be emphasized to generate easier to manufacture CFA(s). According to another aspect, conventional methods and systems are evaluated, confirming shortcomings regarding aliasing in imaging and bandwidth, against which certain embodiments are benchmarked, showing improved performance under at least some embodiments of proposed designs and methods. According to another aspect, a display device CFA is evaluated in terms of throughput of stimuli as limited by aliasing. It is shown the spectral replicas of the chrominance signals induced by existing CFA patterns are centered around frequencies that are not sufficiently far from the DC, consequently overlapping with the luminance signal spectrum and reducing the throughput of the stimuli. By reinterpreting the interactions between the stimuli, display CFA, and CSF in terms of amplitude modulation, an alternative CFA coding scheme that modulates the chrominance signals to a higher frequency relative to common schemes is provided in some embodiments.

A skeg mounts from the stern of a towing vessel and extends below the waterline. A channel in the skeg protects cables for steamers and a source of a seismic system deployed from the vessel. Tow points on the skeg lie below the water's surface and connect to towlines to support the steamers and source. A floatation device supports the source and tows below the water's surface to avoid ice floes. The streamers can have vehicles deployed thereon for controlling a position on the streamer. To facilitate locating the streamers, these vehicles on the streamers can be brought to the surface when clear of ice floes so that GPS readings can be obtained and communicated to a control system. After obtaining readings, the vehicles can be floated back under the surface. Deploying, using, and retrieving the system accounts for ice at the surface in icy regions. In addition, handling the seismic record can account for noise generated by ice impact events.

The present invention provides a firm's diagnosis which evaluates the position of a product or single product firm in the market according to its strategy of differentiation. Based on an Integrated Innovation Model (IIM), a system of data recovery (for example, a questionnaire) allows making a diagnosis of firms. Based on the averages of each of three dimensions used in the model (competitive pressure, differentiation and outcome), it calculates the respective position in those dimensions. After this, the diagnostic provides firm's position in the four spaces of the IIM. The three dimensions of the model are divided into subdimensions, and then a comparison is made between each dimension and the respective subdimensions. Data recovery could be repeated for several firms and, with the storage of results, which can then be used for benchmarking by comparing a firm to the respective industry and also to the high performing firms in the industry. Software based on the model allows us to make not only the complete diagnostics of firms, but also to analyse the dynamics inherent to innovation and markets and serve as an educational framework. Both the model and the software solve a need not just in innovation consultancy but also as a pedagogical tool.

The present invention concerns methods for selecting and producing idiotype vaccines, and in particular methods for selecting and producing an idiotype vaccine for treatment of a B-cell derived malignancy in a subject based on the clonal profile (clonotype) of the malignancy; a method for producing an updated idiotype vaccine matched to a B-cell derived malignancy exhibiting a shifting clonal profile; and the high-fidelity idiotype vaccines produced using the methods. The invention also includes idiotype vaccines produced using the described methods and methods of treating B-cell derived malignancies using the produced vaccines.

A method of mass spectrometry is disclosed comprising performing a first analysis of a sample of ions wherein one or more parameters are scanned and / or ions are sorted according to one or more parameters during the first analysis. One or more ranges of interest of the one or more parameters from the first analysis are then automatically determined. A second subsequent analysis of the sample of ions is then automatically performed, wherein the second analysis is restricted to one or more of the ranges of interest of the one or more parameters.

A method and apparatus are described which reduce the presence of an unwanted signal. According to one embodiment, a first signal is provided from a desired location that includes an unwanted signal while a second signal is provided from an alternate location (e.g., one where the unwanted signal is less of a proportion of the total signal). The first and alternate signals are provided to respective signal processors. A level for a selected frequency band of the first and alternate signals is adjusted so that an increase in one results in a decrease in the other. Doing so allows the frequncy band that includes the unwanted signal to be reduced in the desired first signal and filled in with a similar frequency band from the alternate signal.

The invention relates to a DAS seismic data noise reduction method based on convolutional neural network, and belongs to the noise reduction method of two-dimensional DAS seismic data. On the basis ofthe convolutional neural network, a network structure is modified and parameters are set up to adapt to a noise reduction network model of DAS seismic data noise reduction processing, the convolutional neural network automatically extracts characteristics of effective signals and noise and intelligent noise reduction of the DAS seismic data is further realized according to characteristic differences. According to the DAS seismic data noise reduction method, noise in the DAS seismic data can be effectively removed, reflection coaxial information is well protected, while the signal to the noiseratio of the DAS seismic data is increased, resolution and fidelity of the data are unaffected, powerful guarantee is provided for subsequent accurate acquisition of reflection amplitude, velocity and frequency information, and the DAS seismic data noise reduction method can be widely used in noise suppression of the DAS seismic data.

The invention relates to a method for forming a relief layer (216) employing a stamp (206) having a stamping surface (208) including a template relief pattern. A solution comprising a siliconoxide compound (200) is sandwiched between a substrate surface (202) and the stamp surface (208) and dried while sandwiched. After removal of the template relief pattern the relief layer obtained has a high inorganic mass content making it robust and directly usable for a number of applications such as semiconductor, optical or micromechanical.

A digital audio system including a combination of analog and digital volume control is disclosed. A variable power supply voltage biases a power amplifier for each channel, and applies a bias voltage corresponding to an analog volume control signal. In one disclosed embodiment, digital gain control circuitry compares the bias voltage with the level expected for the analog volume control signal; if the bias voltage has not dropped in response to a reduction in the analog volume control signal, the digital gain control circuitry reduces the digital gain of the input digital audio signal, until the bias voltage responds to the reduced volume. In another disclosed embodiment, modeling or characterization of the audio system is used to derive a digital gain control signal based on the desired volume signal and the amplitude of the digital audio signal itself. In another disclosed embodiment, a slew rate limiter slows the rate of change of the control signal applied to the variable power supply, in which case the slowed control signal is used in the comparison or calculations of the reduced digital gain.

The invention relates to a pick-up arm system for the reproduction or replay of records comprising a pick-up arm chassis and a pick-up arm tube. The torsion element suspension of the pick-up arm is axially stabilized by means of cylindrical permanent magnets which are arranged in a vertical direction and have opposite polarities, said elements forming a rotating bearing or a pivot. According to the invention, the torsion element runs in a congruent manner with respect to the vertical axis of rotation through the horizontal point of rotation of the receiving element for the tube of the pick-up arm. The lower part of the torsion element is connected to a permanent magnet which is connected to the receiving element for the pick-up arm or tube and the upper part of the torsion element is fixated attached to the upper chassis of the pick-up arm. A second permanent magnet or otherwise attached of opposite polarity is fixated in the lower chassis of the pick-up arm in a perpendicular position below said permanent magnet.

A method for automatically creating a honeyfile for a file system, includes the steps of: surveying a file set of the file system to identify tokenisable data in the file set, tokenising the identified tokenisable data to form a plurality of token sequences, and either selecting one of the plurality of token sequences or generating a token sequence to operate as an exemplar token sequence; applying a substitution method to substitute the tokens of the exemplar token sequence with replacement tokenisable data; and packaging the replacement tokenisable data into a honeyfile.

The invention relates to a method for measuring automobile face area and a measuring device. The measuring device includes a horizontal test site, vehicles to be tested, a background screen, a camera, an extensible reference board, and a computer, wherein the horizontal test site is used for guaranteeing that test vehicles carry out adjustment and alignment, the background screen is arranged on the back portion of the vehicles to be tested, the camera is arranged on a lifting tripod, the extensible reference board is placed in front of the vehicles to be tested and is arranged in a known area on the lifting support, and the computer is used for carrying out an image processing over the shooting images. A sideline extracting method is used for calculating the automobile face area, and the automobile face area can be measured accurately, errors of checking the pixel point method are effectively avoided, the measuring accuracy is improved, defects of the prior art is improved. The method for measuring the automobile face area and the measuring device have the advantages of being easy and convenient to operate, simple in structure and suitable for different kinds of vehicles.

Disclosed are a method and apparatus for processing physiological signals. The method is inclusive of steps of obtaining the physiological signals; grouping the physiological signals based on their sampling frequencies and / or generation mechanisms, so as to acquire grouping results; and compressing, based on the grouping results, each group of physiological signals.

A device for verifying the connection of components by a gripper, wherein connecting two or more components produces a connection sound. The device comprises a plurality of audio sensors, a fastener for securing the plurality of audio sensors at different positions on the gripper, and a controller. The controller comprises an input for receiving the audio signals from the plurality of audio sensors, a neural network for isolating the connection sound from the audio signals received from the plurality of audio sensors using independent component analysis based on training audio data obtained from audio signals received during a plurality of training connections made in a controlled environment; and an output for indicating a desired connection status based on the isolated connection sound.

The invention is directed to compositions and methods for isolating, detecting, amplifying, and quantitating pathogen-specific nucleic acids in a biological sample, and in particular PCR ready compositions that contain enzyme and are stable or long periods of time. The invention also provides diagnostic kits containing specific amplification primers and labeled detection probes that specifically bind to the amplification products obtained therefrom. Also disclosed are compositions and methods for the isolation and characterization of nucleic acids that are specific to one or more pathogens, including for example Influenza virus and Mycobacterium tuberculosis, from a wide variety of samples including those of biological, environmental, clinical and / or veterinary origin.

Techniques for cleaning a machine learning (ML) model are provided. A first ML model and clean training data are received. A path between the first ML model and the second ML model is trained using the clean training data. A scrubbed ML model is generated based on at least one point on the trained path. One or more ML functions are then facilitated using the purged ML model.

The invention discloses an OLED (Organic Light Emitting Diode) display screen light-emitting coating protection filling adhesive which comprises the following components in percentage by mass: 80-99% of epoxy resin, 0.01-10% of an additive and 0.01-5% of an initiator. According to the OLED display screen light-emitting coating protection filling adhesive, the problems encountered by a light-emitting layer are effectively solved, the fidelity and transparency of the light-emitting layer can be kept in use, the light-emitting coating can be effectively protected, and the service life of the light-emitting coating can be prolonged.

The invention relates to the technical field of unmanned aerial vehicle control, in particular to a learning-based method for controlling an unmanned aerial vehicle to complete trajectory tracking under wind disturbance. A Gaussian process model is directly used for compensating wind disturbance, so that the tracking precision is improved; and on the other hand, when the stability and safety constraints are ensured, the Gaussian process prediction error upper bound is utilized to ensure the construction of a high-probability constraint guarantee, and the fidelity of the model can be maintained. And errors are not considered in model prediction control, so that the initiative is maximized, and the tracking precision is further improved. In addition, the complexity of the algorithm is optimized from the structure of the algorithm and model updating, the efficiency of the algorithm is improved, and the real-time performance of the control algorithm is ensured.