34results about How to "Reduce evaluation error" patented technology

The invention belongs to the technical fields of medical treatment and cloud service, and relates to a cloud radiation therapy plan evaluation method, equipment and a storage medium. The method comprises the steps of: inputting a radiotherapy plan data to-be-evaluated into a patient database according to a standard format; using a machine learning method to generate a standard radiotherapy plan corresponding to the radiotherapy plan to-be-evaluated; automatically comparing the radiotherapy plan to-be-evaluated with the standard radiotherapy plan for scoring; and displaying the scoring resultsobtained by the machine learning method and outputting a result report. The evaluation method provided by the invention is beneficial to collecting expert knowledge and forming an expert knowledge base, which reduces artificial subjective factors, improves objectivity and reduces errors.

The invention provides a device and system for detecting human body striding and relates to the technical fields of human motion measurement, human body function and medical treatment. The device comprises a first longitudinal meter line adjusting rod, a second longitudinal meter line adjusting rod and an infrared detector, wherein the second longitudinal meter line adjusting rod is symmetrical with respect to the first longitudinal meter line adjusting rod; the infrared detector comprises an infrared emitting end and an infrared receiving end; the infrared emitting end is used for emitting infrared rays; the infrared receiving end is used for receiving the infrared rays emitted by the infrared emitting end; the infrared emitting end and the infrared receiving end are respectively arranged on the first longitudinal meter line adjusting rod or the second longitudinal meter line adjusting rod; the position of the infrared emitting end on the first longitudinal meter line adjusting rod or the second longitudinal meter line adjusting rod is as same as the position of the infrared receiving end on the first longitudinal meter line adjusting rod or the second longitudinal meter line adjusting rod. According to the invention, the technical problem in the prior art that the human body striding result cannot be accurately judged through visual inspection for the detection result is solved, the accuracy of the human body striding detection is increased and the evaluation error of human body striding is reduced.

The invention discloses a method for evaluating human health risks based on soil heavy metal forms. The method comprises the following steps: collecting and processing a sample, and determining analyzed heavy metal elements; extracting a heavy metal occurrence form, and determining the content of a heavy metal bio-available state; determining the exposure concentration of the heavy metal accordingto the bio-available state content of the heavy metal; and carrying out health risk evaluation analysis according to the exposure concentration of the heavy metal. According to the method for evaluating the human health risks based on the soil heavy metal forms, the bio-availability of the heavy metal is combined with the health risk evaluation model of the heavy metal so that the uncertainty ofthe health risk model can be reduced from the perspective of reasonably estimating the exposure dose of the heavy metal. The risk evaluation method is convenient to operate, more scientific in assessment, smaller in assessment error and convenient for people to assess and prevent health risks of heavy metals in soil to human bodies.

The invention relates to a street environment quality evaluation method based on VR panoramic visual perception. The invention relates to the technical field of urban design planning, and the method comprises the steps: obtaining main elements and level settings which affect a street environment through pre-investigation; through VR panoramic modeling rendering, a city street environment virtual simulation scheme scene is constructed by means of VR panoramic equipment and a related technology platform; designing a questionnaire, processing questionnaire data by adopting statistical software Stata SEV15.1, and establishing a discrete selection model; constructing a utility function through model fitting, studying and judging the weight relationship of each influence factor, and selecting a walking environment scene with the maximum utility for the pedestrian according to the random utility theory of a discrete selection model; sequentially arranging absolute values of the weight relations from large to small to obtain preference analysis of different types of crowds on street environment element selection behaviors; and ArcGIS software is used for analysis to obtain an overall evaluation map of the actual street environment in the city.

The invention relates to a method for diagnosing post-stroke dysarthria tone errors based on a neural network and a diagnosis device therefor, and belongs to a novel dysarthria objective evaluation technology based on acoustic indexes. According to the method, monosyllable word tone data of post-stroke dysarthria patients taking mandarin as a mother language and normal adults of the same age groupare collected and divided into a training group and a test group; the training group is trained by an artificial neural network to obtain a diagnosis model; the correct rate of automatic tone identification of the test group is tested; and parameters are adjusted until the diagnosis accuracy is greater than 90%. According to the method, the tone is evaluated through artificial intelligence, the objective and efficient purposes can be achieved, the evaluation difference by different mechanisms and different therapists is reduced, and the method has certain guiding significance for implementation of rehabilitation training.

The invention relates to a dancing data processing method and device, dancing equipment, computer equipment and a computer storage medium. The method comprises the following steps: playing music content of a dance game to a user through a display device, and acquiring beat points of the music content; acquiring footstep action data generated by the dance game of the user through action capture equipment at each beat point position of the music content; calculating overlapping area data of footsteps according to the footstep action data, and calculating a score value corresponding to each footstep action data according to the overlapping area data; and determining evaluation data of the user in the dance game according to the score value of each footstep action data. According to the above technical scheme, the dancing level of a player can be correctly judged, an evaluation error is reduced, and wide propagation and sharing of dance games are promoted.

The invention belongs to the field of aviation turbofan engine main combustion chamber design, particularly relates to a full-ring combustion chamber test piece flow resistance characteristic data processing method, and provides a combustion chamber flow resistance characteristic data processing method, namely a head estimation correction method on the basis of a direct processing method and a turbine bleed air correction method. That is to say, in combustion chamber flow resistance characteristic data processing, middle ring cavity airflow pressure loss is considered. When the total pressure loss of the diffuser is calculated, the loss part of the middle ring cavity is added, the combustion chamber flow resistance characteristic closer to the real situation can be obtained, and the evaluation error is reduced.