7results about How to "Has reference value" patented technology

The invention relates to the technical field of forge piece detection, and discloses a forge piece finished product size detection device which comprises a base, a detection table and a height adjusting frame are fixedly installed on the base, an open type containing groove is formed in the bottom of the detection table, a plurality of detection blocks which are circumferentially and evenly distributed are slidably arranged on the upper portion of the detection table, and limiting columns are arranged at the bottoms of the detection blocks. A positioning detection mechanism for driving the limiting columns to synchronously move back and forth towards the center of the detection table is arranged in the placement groove, a mounting groove is reserved in the detection block, a sleeve is arranged in the mounting groove, and a flaw detection unit is arranged in the sleeve. Compared with the prior art, the device has the beneficial effects that size deviation detection can be carried out on different casting parts for multiple times; the positioning detection mechanism can be used for synchronously measuring the outer walls of a plurality of circular pipe castings, and can be matched with the flaw measuring unit to measure the outer diameter sizes and size deviation values of a plurality of parts; and the flaw detecting unit can quickly obtain the dimensional deviation value among a plurality of parts of the round pipe casting by simply rotating the knob.

The present invention relates to the technical field of photoelectric theodolites, and specifically provides a method for solving and compensating a single error of a photoelectric theodolite. The sky area is divided into 60 sub-areas by star selection software, and a star is selected in each sub-area as a reference star, one of the theodolite points is controlled to point to the reference star, and the azimuth deviation and elevation deviation corresponding to each reference star are calculated respectively, and an axis system error pointing model of the electric theodolite, an azimuth error equation and an elevation error equation of the photoelectric theodolite are established, and the least squares estimate of the azimuth single error and the least squares estimate of the elevation single error are solved by the least squares method, and the reference stars with large fitting residuals are eliminated and repeatedly iterated to obtain the final single error of the photoelectric theodolite and compensate for it. The method of the present invention effectively reduces the influence of the theoretical position deviation of individual reference stars on the calculation results, ensures the consistency of the single error in multiple measurement results, and thus improves the compensation accuracy of the single error of the photoelectric theodolite.

The present invention belongs to the field of big data processing, and specifically relates to a method for evaluating the user's recognition of advertisements based on feature recognition. The method comprises the following steps: S1: obtaining the feature data of the currently playing advertisement: including obtaining the playing time T of each advertisement played, and the keyword data set associated with each advertisement. S2: obtaining the feedback data of each user on the advertisement playing, including: obtaining the voice stream data generated by all users in the advertisement delivery area during the advertisement playing, monitoring the video stream data of all users in the advertisement delivery area, and the instruction issued by one or more users in the advertisement delivery area to switch the currently playing advertisement; judging whether the instruction to switch the currently playing advertisement is received. S3: calculating the recognition evaluation value of each user for the current advertisement based on different feedback information. The present invention solves the problem that the existing advertisement delivery equipment cannot obtain the feedback and evaluation of offline users on the advertisement delivery.

The invention relates to the technical field of photoelectric theodolites, in particular to a photoelectric theodolite single-term difference resolving method and a photoelectric theodolite single-term difference compensating method.A sky area is divided into 60 sub-areas through satellite selection software, a fixed star is selected from each sub-area to serve as a reference fixed star, the theodolite is controlled to point to one of the reference fixed stars, and the reference fixed star is selected to point to the other one of the reference fixed stars; respectively calculating azimuth deviation and pitching deviation corresponding to each reference fixed star, establishing an electric theodolite shaft system error pointing model, an electric theodolite azimuth error equation and an electric theodolite pitching error equation, and solving a least square method to obtain a least square estimated value of an azimuth single difference and a least square estimated value of a pitching single difference; and removing the reference fixed stars with relatively large fitting residual errors and repeatedly iterating to obtain a final single difference of the electro-optic theodolite and compensating the final single difference of the electro-optic theodolite. According to the method, the influence of theoretical position deviation of individual reference fixed stars on calculation results is effectively reduced, the consistency of single differences in multiple measurement results is ensured, and the compensation precision of the single differences of the photoelectric theodolite is further improved.

The invention discloses a paper duplicate checking system and method based on text feature extraction technology, and relates to the technical field of data processing. The invention performs word segmentation operation on the paper to be checked for duplicate, so that the information in the paper to be checked for duplicate can be segmented, and a query is performed in a database document set according to the information, so that the queried documents have certain similarities in content with the paper to be checked for duplicate, and the weight of each word segmentation in the paper word segmentation set is determined, so that the calculated repetition degree is more accurate, and further analysis and judgment are performed, and the paper to be checked for duplicate and each paper in the database document set are deeply analyzed from the aspects of field, problem solved and solution method. When these three aspects are repeated with other papers, it is determined that the paper to be checked for duplicate is repeated, otherwise, the paper to be checked for duplicate is not repeated, thereby improving the accuracy of checking for duplicate.

The application discloses a lung nodule growth prediction method based on combination of LSTM and GAN, relates to the technical field of image analysis and processing, and comprises the following steps: collecting multi-time chest CT data, performing labeling and auditing to form a data set; performing pretreatment on the labeled CT data to obtain standardized lung nodule ROIs; segmenting out lung nodule regions by using a three-dimensional image segmentation network to generate three-dimensional segmentation masks; inputting the segmentation masks of multiple time nodes into an LSTM network to extract time sequence feature vectors representing dynamic evolution of the nodule; based on the time sequence feature vectors and random noise, a generator synthesizes predicted lung nodule images at future time points, and a discriminator optimizes model parameters by joint optimization of multiple loss functions; and inputting three-dimensional segmentation masks at the current and historical time points to generate predicted lung nodule images at future time points. The application can effectively improve the situation that the prior art is insufficient in utilization of time sequence information and lacks high-quality generation and inference capability.

The present disclosure relates to the technical field of endoscopy, and provides a path planning method. In the method, a cross-sectional image of a target object and hardware parameters of a bronchoscope robot corresponding to the target object are obtained; according to the cross-sectional image of the target object, lesion feature information, trachea feature information and blood vessel feature information of the target object are determined; according to the hardware parameters of the bronchoscope robot, and the lesion feature information, the trachea feature information and the blood vessel feature information of the target object, an airway wall puncture biopsy path of the bronchoscope robot is determined. In this way, since multiple constraint conditions are considered in the generation process of the airway wall puncture biopsy path, the most efficient and safe airway wall puncture biopsy path can be obtained, thereby the problems of subjectivity and human error that occur when a scheme is artificially formulated can be avoided, and thus the airway wall puncture biopsy path obtained by the embodiment is more accurate and has more reference value, and the safety and efficiency of the puncture biopsy are also improved.