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224results about How to "Improve test" patented technology

Multi-temperature programming for accelerometer

ActiveUS20070204672A1Improves manufacturing test throughputImprove overall manufacturing test throughputAcceleration measurementThermometer testing/calibrationTemperature coefficientOffset calibration
A system and method for testing and calibrating integrated sensor devices that improves the manufacturing test throughput of the devices. The system includes a tester, a temperature controller, and at least one probe station including a thermal chuck. The chuck can be heated to specified temperatures to achieve variable heating of a wafer, PCB, or pallet disposed thereon. The temperature controller adjusts the temperature of the chuck to a first specified level. The tester performs at least one first measurement of the output offset of each integrated sensor embodied as a die on the wafer, or as a device on the PCB or pallet. Next, the temperature controller adjusts the temperature of the chuck to a second specified level, and the tester performs at least one second measurement of the output offset of each integrated sensor at the second temperature level. The offset temperature coefficient (OTC) of each sensor is calculated based upon the output offset measurements performed at the first and second temperature levels, and optimal settings for calibrating the respective sensors are determined based upon the calculated OTC values. After the temperature of the chuck is brought back down to the first specified level, the tester programs the output offset calibration settings into each sensor.
Owner:MEMSIC

Three-station DITO full-automatic testing machine and testing process thereof

The invention discloses a three-station DITO full-automatic testing machine and a testing process thereof. The testing machine comprises a feeding part, a testing part and a discharging part. The testing machine disclosed by the invention comprises the following technical steps: product feeding, product taking and product detection, product photographing correction, product function testing, product transferring and defective product screening, product position correcting and discharging, and material tray discharging. According to the testing machine, a plurality of products are loaded in a centralized manner by adopting the material tray, and the loading part and the discharging part are connected to the front end and the back end of the tested part; the material trays of the feeding part and the discharging part are of a circulating flow type structure, meanwhile, the circulating type taking and placing of the products and the material trays are realized, and the material flowing volume is greatly improved through a laminating and conveying mode; and the test part adopts multi-test-station design, the time periods of testing and product taking and placing are effectively utilized, so that uninterrupted lead-out of the test products is realized, and the screen testing efficiency is greatly improved; and single-piece detection, defective product scanning by two-dimensional codes and the like are integrated to realize real-time screening of defective products.
Owner:SHENZHEN NUOFENG OPTOELECTRONICS EQUIP

Contusive retina internal segment and external segment deficiency detecting method based on SD-OCT

InactiveCN104143087AImprove classification performanceMissing volume identification error is smallCharacter and pattern recognitionEye diagnosticsVoxelBilinear filtering
The invention discloses a contusive retina internal segment / external segment deficiency three-dimensional automatic detecting method based on an SD-OCT image. The method comprises the following steps that (1), an image is preprocessed, wherein the interior of the retina is automatically divided into eleven surfaces through a multi-scale three-dimensional image division method, an internal segment / external segment area between the seventh surface and the eighth surface is extracted as an area of interest, and planarization processing and bilinear filtering enhancement are carried out; (2), five classes (fifty-seven in total) of features are extracted from each voxel in the area of interest; (3), the features are optimized and selected through a principal component analysis method; (4), the feature samples are classified to be a training set and a testing set, and the samples of the training set are trained and integrated to be a classifier through an Adaboost algorithm; (5), deficiency / non-deficiency identification is carried out on the samples of the testing set; (6), postprocessing such as vascular contour influence elimination and isolated point elimination are carried out on an identification result, the corresponding deficiency size is calculated, the identification errors of the deficiency size are small, and accuracy is good.
Owner:SUZHOU UNIV

Content recommendation method and device

The invention discloses a content recommendation method and device, and relates to the field of content recommendation. According to the method, multiple items of to-be-classified content in a contentpool are obtained and content identification is carried out; a corresponding content classification model is selected according to a content identification result to perform content classification onthe to-be-classified content to obtain to-be-recalled content; and preliminary recall is performed on the to-be-recalled content according to a recall strategy to obtain recalled content, the recalled content is sorted according to a recommendation model to obtain a preliminary sorting list, secondary sorting is performed on the preliminary sorting list by using a sorting algorithm model, and integration is performed to obtain a recommended content list. The content is recognized, filtered and classified accurately before being published by controlling the source, normal content is exposed tothe user online, and low-quality content is screened and filtered and is not exposed to the user so that online of low-quality content such as sensational headline writers, taking advantage of loopholes or vulgar on the platform is avoided, the overall content quality of the platform is improved and the stickiness of platform users is kept.
Owner:XIAMEN MEET YOU INFORMATION TECH
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