43results about How to "Guarantee high efficiency and precision" patented technology

An image sensor module having a sensor chip closely adhered on a concave surface and a fabrication method thereof are disclosed. The image sensor module includes at least one sensor chip, at least one sensor chip-mounting structure comprising a substrate and a polymer layer formed on the substrate, the polymer layer having an concave surface formed on an upper part thereof by a polymer molding method, so that the sensor chip is bent and bonded on the concave surface, and at least one lens fixed on the at least one sensor chip-mounting structure above the sensor chip.

A combinative cutter includes a holder, a shank, a blade and at least two screws. The holder includes an eccentric bore defined at an end and at least two screw holes in communication with the eccentric bore. The shank is inserted in the eccentric bore and formed with a planar face. The blade is attached to an end of the shank extending beyond the holder. The screws are driven through the screw holes and abutted against the planar face to keep the shank in the eccentric bore.

The invention discloses a single-index anomaly detection method based on operation and maintenance monitoring. The anomaly detection system carries out KPI anomaly detection on time series data collected and stored by operation and maintenance monitoring, the time series data comprises time and index values collected by the operation and maintenance monitoring through a technical tool, and the anomaly detection system comprises a feature descriptor, a detector and a classifier. The invention is scientific and reasonable, safe and convenient in use; appropriate algorithms are selected for different scenes to carry out anomaly detection, abnormity detection efficiency and accuracy can be effectively improved, a problem of true value missing caused by false alarm and missing alarm can be avoided, so the algorithm is made to have enough fast speed to process the online real-time data, and the algorithm is made to automatically detect abnormity without dependence on annotation.

A system for managing medical information includes a host device for installation at a first location, an image capturing device, and an end device for installation at a second location. The host device encodes medical information into a barcode, and outputs the barcode to an information carrier. The image capturing device captures an image of the barcode on the information carrier so as to create a barcode image. The end device decodes the barcode image for obtaining the medical information encoded by the host device.

Presented herein are techniques for identifying and/or validating sequence variants in genomic sequence data. The techniques include generating an error rate reflective of sequence errors present in the genomic sequence data. The error rate may be used to validate potential sequence variants. The error rate may be based on errors identified during consensus sequence confirmation for sequence reads associated with individual unique molecular identifiers.

A single chip Z-axis linear magnetoresistive sensor with a calibration/initialization coil comprises a single chip Z-axis linear magnetoresistive sensor, and a calibration coil and/or an initialization coil. The calibration coil and the initialization coil are planar coils or three-dimensional coils. The planar coils are located above a substrate and below a magnetoresistive sensing unit, between a magnetoresistive sensing unit and a soft ferromagnetic flux concentrator, above a soft ferromagnetic flux concentrator, or in a gap of the soft ferromagnetic flux concentrator. The three-dimensional coil is wound around the soft ferromagnetic flux concentrator and the magnetoresistive sensing unit. The calibration coil and the initialization coil respectively comprise straight wires which are parallel to a magnetization direction of a pinned layer/free layer, wherein the calibration coil generates an equivalent calibration magnetic field parallel/anti-parallel to the direction of the pinned layer of a push or a pull magnetoresistive unit string, and the initialization coil generates a uniform initializing magnetic field in the direction of the free layer at all magnetoresistive sensing units. By controlling the current in the calibration coil/initialization coil, calibration and magnetic state initialization of the single chip Z-axis linear magnetoresistive sensor can be achieved. The sensor has advantages of being highly efficient, quick, and convenient.

The invention provides a double-end cross saw device, and belongs to the technical field of automatic mechanical equipment. The double-end cross saw device solves the technical problems that in the prior art, automatic feeding and discharging of large plates are not convenient, and the double-end cross saw device is not suitable for plates needed by large door and window furniture and other products. The double-end cross saw device comprises a rack, wherein the input end and the output end of the rack are each provided with a first roller; a fixed portal frame is fixedly arranged at the outputend of the rack; sliding rails are arranged at the positions, close to the two sides of the input end, of the rack; a movable portal frame capable of moving in the direction of the fixed portal frameis arranged on the sliding rails in a sliding manner; and the fixed portal frame and the movable portal frame are each provided with a machining head assembly with a saw disc. The double-end cross saw device achieves automatic conveying, positioning and machining after feeding, full-automatic control is achieved, timeliness and smoothness of feeding and discharging can be ensured, the machining head assemblies on the fixed portal frame and the movable portal frame are used for machining and cutting the two ends of a door plate at the same time, and therefore the machining efficiency is greatly improved.

The invention discloses a network-oriented intrusion data detection method, which comprises the following steps of: firstly, performing attribute dimension reduction on network flow data, and then inputting the data into a data detection model; and enabling the detection model to process the network flow data according to a decision rule and detects intrusion data. According to the invention, high-efficiency, high-precision and low-false-alarm intrusion detection can be realized, and the detection efficiency is improved.

The invention discloses a bearing type and non-bearing type body-in-white lower vehicle body mixed flow tool and method. The mixed flow tool comprises a split type clamp mounting plate, a front longitudinal beam positioning unit, a front wall assembly positioning unit, a non-bearing type rear wall translation gable wall, a rear wheel cover sliding table positioning unit, a bearing type rear wall translation gable wall and a control system. According to the vehicle body types of bearing type and non-bearing type body-in-white lower vehicle bodies, the control system controls the front longitudinal beam positioning unit, the front wall assembly positioning unit, the rear wheel cover sliding table positioning unit and the bearing type rear wall translation gable wall to position and assemble the bearing type body-in-white lower vehicle body; or the front wall assembly positioning unit and the non-bearing type rear wall translation gable wall are used for positioning and assembling the non-bearing type body-in-white lower vehicle body. The bearing type and non-bearing type body-in-white lower vehicle body mixed flow tool is novel in thought, ingenious in structure, high in automation degree and capable of meeting the mixed flow production requirements of various bearing type and non-bearing type military off-road vehicle body-in-white lower vehicle bodies.

The invention belongs to the technical field of agricultural machinery, and particularly relates to a potato miss-seeding reseeding machine capable of realizing high efficiency precision and low miss-seeding. The potato miss-seeding reseeding machine comprises fixed racks, a fertilizing device, a granular pesticide seeding device, a reseeding device, a seed metering device, a miss-seeding detection device, a rotary tillage ridging device, a weeding and pesticide spraying device and a film mulching and soil covering device, wherein a cross beam is arranged in front of the two fixed racks, a suspension bracket is mounted on the cross beam, a fertilization ditching shovel is mounted in the middle of the cross beam, a traveling wheel is mounted on each of the two fixed racks, the rotary tillage ridging device is mounted behind the fixed racks, and a drip irrigation belt laying device and a film mulching and soil covering device are arranged behind the rotary tillage ridging device. The potato miss-seeding reseeding machine capable of realizing high-efficiency precision and low miss-seeding is compact in mechanical structure, simple in structure and stable in operation, and capable of realizing accurate seeding of potatoes and reducing the miss-seeding rate.

The invention provides a device used for machining a plate side face hole groove, and belongs to the technical field of automatic mechanical equipment. The technical problems that in the prior art, positioning machining is not efficient and accurate, stability is poor, and in the plate conveying process, wear is easily caused can be solved. The device comprises a rack, an input end is arranged atone end of the rack, an output end is arranged at the other end of the rack, and the device is characterized in that multiple work platforms are fixedly mounted on the rack, at least one set of working heads facing the work platform is mounted on one side of the rack, a set of rollers capable of lifting is arranged on the rack from the input end to the output end of the rack, a baffle which can lift and move towards the conveying direction of the rollers is arranged between the rollers, a mounting cross beam is fixedly mounted at the position, above the work heads, of the rack, and the mounting cross beam is provided with a driving part inclining downwards to face the side of the rack from the outer side of the rack. Timeliness and smoothness of loading and discharging can be ensured, themultiple work heads carry out machining at the same time, and machining efficiency is greatly improved.

A data processing unit for monitoring the performance of at least one undercarriage which is used for braking and/or steering an aircraft, wherein the data processing unit is configured to: receive data representative of operating characteristics of the undercarriage(s) and use that data to calculate a maximum achievable braking force and/or yaw moment to be generated by the undercarriage(s). Also a method for monitoring the performance of at least one aircraft undercarriage which is used for braking and/or steering an aircraft, the method including: receiving data representative of operating characteristics of the undercarriage(s); and using that data to calculate a maximum achievable braking force and/or yaw moment to be generated by the undercarriage(s).

A single-chip high-magnetic-field X-axis linear magnetoresistive sensor with a calibration and an initialization coil, comprising a high magnetic field single-chip referenced bridge X-axis magnetoresistive sensor, a calibration coil, and an initialization coil, wherein the calibration coils are planar coils, and the initialization coils are planar or three-dimensional coils. The planar calibration coils and the planar initialization coils can be placed above a substrate and below the magnetoresistive sensor units, between the magnetoresistive sensor units and the soft ferromagnetic flux guides, above the soft ferromagnetic flux guides, or at gaps between the soft ferromagnetic flux guides. The three-dimensional initialization coil is wound around the soft ferromagnetic flux guides and magnetoresistive sensor units. The calibration coils and the initialization coils generate a calibration magnetic field paralleled the direction of pinned layer and a uniform initialization magnetic field in the direction of the free layer respectively at the location of the magnetoresistive sensor units. Through controlling the current of the calibration coils and the initialization coils, the calibration and initialization of the magnetic state of the single-chip X-axis linear magnetoresistive sensor can be performed.

The invention provides a sintering ignition temperature modeling prediction method based on working condition recognition. The method comprises the following steps: carrying out the clustering of a plurality of working conditions in an ignition process through an FCM clustering method, and determining the types of the working conditions; carrying out DBI index calculation on the determined workingcondition category, and determining the working condition number of the sintering ignition process; and then based on different groups of actual data obtained after clustering, establishing the determined ignition temperature prediction model PSOElman under each specific working condition. According to the invention, the defect that the precision of a single prediction model becomes poor when theworking condition in the ignition process changes is overcome, whether the working condition in the ignition process changes or not can be judged according to real-time feedback data, and if yes, thecurrent working condition can be recognized and switched to the corresponding prediction model for prediction; therefore, it is guaranteed that the ignition temperature can be predicted by the most suitable PSO-Elman prediction model under various working conditions for a long time scale, and therefore long-term and efficient prediction precision is kept.

The invention relates to a sign monitoring method through voice inputting. The method facilitates voice parameter inputting by an old person who is an important target in household sign monitoring andis not familiar with an operation mode and has a high age. Furthermore the sign monitoring method performs matching identification on the input voice through priority and correlation and has advantages of high precision, and high result accuracy.

The invention provides a stable forced centering disc. The stable forced centering disc comprises a centering disc body arranged at the top of a centering disc frame, an instrument mounting hole is formed in the center of the centering disc body, a limiting base is arranged right under the centering disc body and fixedly connected with the centering disc body through an inverted triangular support, and a limiting hole in the center of the limiting base and the instrument mounting hole are kept to allow a pre-buried frame body to pass through; and the limiting base is fixedly connected with a supporting plane through a triangular support. The stable forced centering disc is better in precision control, stability and visibility, excellent in comprehensive performance and remarkable in systemeffective control effect, and powerful technical and management support is provided for fine management and operation of building construction in measurement related work.

The invention provides a shale gas entity recognition method based on an improved neural network, and belongs to the field of shale gas and natural language processing. The method comprises the following steps: firstly, preprocessing shale gas manual annotation data, mapping characters into a dense vector sequence with context semantics, and transmitting the dense vector sequence to a convolutional neural network to filter the influence of local contexts in sentences on entity recognition; then, the hidden state of the context at the shale gas labeling position is captured through a bidirectional long-short-term memory network, labels in sentences are concerned through an attention mechanism, character labels are predicted through similar information, and the problem of labeling inconsistency is solved; and finally, uploading to a conditional random field, and further constraining the result to achieve the effect of entity classification. According to the method, the names of related entities in the shale gas field can be quickly and efficiently identified, and the first shale gas high-precision entity identification method is provided for a shale gas intelligent analysis system.