58results about How to "Avoid Data Bias" patented technology

The invention discloses a progress monitoring method used for laboratory engineering construction. The method comprises the steps of: creating a building information model of a laboratory, wherein the building information model comprises a 3D building model, and the 3D building model comprises a component model; creating information of a laboratory engineering construction progress plan, and correlating the engineering construction progress plan and the component model of the 3D model; arranging an Internet-of-Things tracking device in the laboratory engineering construction, and acquiring locations of construction devices and construction materials which are tracked by the Internet-of-Things tracking device in real time and in laboratory engineering ; updating engineering construction progress according to location information of the construction devices and the construction materials; and comparing the engineering construction progress and the engineering construction progress plan, and issuing early warning information to a client when the difference between the engineering construction progress and the engineering construction progress plan is greater than a preset threshold value. The method improves the efficiency of monitoring and the level of automation.

The invention discloses a score card fusion method and device, computer equipment and a storage medium, and belongs to the technical field of risk control. The method comprises the steps that an expert score card and a machine learning score card are acquired, and feature variables used by the expert score card are different from feature variables used by the machine learning score card; the expert score cards and the machine learning score cards are respectively fused on the plurality of weight combinations to obtain a plurality of fused score cards; and the plurality of fusion score cards are verified by using the verification sample, and the optimal fusion score card is screened out. Compared with the prior art that variables selected by experts are directly added into the machine learning model, the process is repeated until the variables meeting the model conditions are selected, the problem that the repeated workload is large can be avoided, the problem of sample data deviation can be effectively avoided, and the model prediction capacity is improved.

The invention relates to a portable corrosion-proof micro-organism growth-proof tide gauge which comprises a bracket and an underwater probe; the probe is fixedly arranged on the bracket; the bracket is a structure consisting of three conical bar frames; the underwater probe comprises an underwater probe shell, a water inlet cover and a cable joint; a sensor and a circuit board are arranged in the underwater probe shell; the water inlet cover is coaxially arranged at the lower end of the underwater probe shell; a plurality of water inlet grooves are axially arranged on the outer cylindrical surface of the water inlet cover; the underwater probe shell is coaxially provided with a red copper uniform flow cover through an insulating sleeve on a water inlet nozzle arranged in the water inlet cover; and water inlets are uniformly distributed on the outer cylindrical surface and the lower bottom surface of the uniform flow cover. In the invention, the tide gauge is simple in integral structure, scientific and reasonable in bracket design, quick and firm to mount and convenient to carry; sacrificial anodes are respectively arranged on the underwater probe uniform flow cover and the water inlet cover, and the corrosion-proof effect is excellent; the uniform flow cover arranged at the water inlet nozzle is capable of guaranteeing the data acquisition precision of the sensor, simultaneously the growth of the marine micro-organism on the surface of the underwater probe is effectively avoided, and the precision of the data acquisition of the tide gauge is effectively guaranteed; and the tide gauge is simple in integral structure and scientific and reasonable in design.

The invention relates to the technical field of sterilization monitoring and particularly relates to a disinfectant sterilization effect monitoring device convenient to sample. The device comprises a sampling mechanism, wherein a monitoring mechanism is mounted in the sampling mechanism, a supporting mechanism is connected to the sampling mechanism, and a protection mechanism is mounted in the supporting mechanism; a placing mechanism is mounted on the supporting mechanism, a taking mechanism is mounted in the supporting mechanism, a cleaning mechanism is mounted in the sampling mechanism, and a control mechanism is connected to the interior of the sampling mechanism; the prepared disinfectant liquid is conveniently extracted and detected under the action of the sampling mechanism and the monitoring mechanism, data are obtained, the sterilization effect is checked, the sampling mechanism is conveniently and stably placed under the action of the supporting mechanism, and samples are conveniently and rapidly switched and need to be extracted under the action of the placing mechanism; under the action of the control mechanism and the cleaning mechanism, interiors of the sampling mechanism and the monitoring mechanism are conveniently washed, and data errors caused during subsequent detection are prevented.

The invention discloses a processing method for fitting and sampling telemetry data fitting and sampling of a data acquisition and monitoring control system, and relates to the technical field of data processing. The invention aims to solve the technical problem to ensure that the data sampling accuracy is improved in the telemetry data sampling in a power system. The method comprises the following steps: 1) taking at least 12 sample data; 2) processing extreme values of the data: removing the maximum and the minimum; 3) solving a weighted value of fitting data; fitting the sample data E(Xi) according to a weighing formula; 4) computing a sampling error, wherein the sampling error e is equal to Xio-E(Xi); 5) setting a warning sign for acquired abnormal data; and for the given error limit Ee, if e is greater than Ee, transmitting the data exception warning, and using the fitting data to replace the sample data; and 6) saving the fitting data, repeating the steps 1) to 5), and performing fitting the sampled telemetry data. The method has the characteristics of avoiding data deviation and data exception, and improving the data sampling accuracy.

The invention provides an immune thrombocytopenia lncRNA marker, a kit and an application thereof. The lncRNA marker is LOC100506314, and its base sequence is shown in SEQ ID NO: 1. The base sequenceof the primer of the lncRNA marker is shown in SEQ ID NO: 2 and SEQ ID NO: 3. LncRNA markers and primers thereof are used for preparing drugs for inhibiting immune thrombocytopenia or for preparing immune thrombocytopenia auxiliary diagnostic kits. The lncRNA marker can be used for judging the progress and severity of immune thrombocytopenia. The LOC100506314 primer and diagnostic reagent kit anddetection method developed on the basis of LOC100506314 are easy to operate, less invasive, high sensitivity and specificity, and can be used to monitor the disease progression clinically. The LOC100506314 primer and diagnostic reagent kit has an auxiliary diagnostic effect on the disease onset, drug efficacy and prognosis, and has obvious clinical application value.

The invention relates to a lightweight SAR image ship detection method based on stripe pruning, and belongs to the technical field of image processing. Extracting feature maps of different depths by using a strip convolution-based lightweight residual convolutional network; fusing different depth features by using a jump connection feature pyramid network to obtain fused depth feature maps of different scales; and predicting the probability of the corresponding position of each feature point and the vertical distance from the position of the feature point to the edge of the target by using a regression model based on the key points, and finally obtaining the position and probability of the target. According to the method, the lightweight residual convolutional network is obtained through one-time end-to-end training by using the lightweight residual convolutional network based on strip convolution, so that the training efficiency and the model robustness of the model are improved; the dimensionality of pruning is increased through strip pruning, and the parameter quantity and the calculated quantity of the model are further compressed.

The invention discloses a compression resistance detection device for production and processing of wooden furniture. The compression resistance detection device comprises a bottom plate, grooves are machined in left and right sides of the inner wall of the bottom plate, lifting mechanisms are mounted on inner walls of the two grooves, outer walls of the two lifting mechanisms are fixedly connectedwith supports, and tops of the two supports are fixedly connected with left and right sides of the bottom of the bottom plate respectively. By cooperation of long grooves and a press mechanism, the compression resistance detection device for production and processing of wooden furniture solves the problem that the existing compression resistance detection device can only detect one piece of wooden furniture during use, work is simple, the working time is shortened, two sets of wooden furniture can be compared conveniently, data deviation is avoided, and later work is guaranteed; besides, by cooperation of a sliding mechanism and a clamping mechanism, the problem about change according to the size of the wooden furniture is solved, the requirement of different specifications of wooden furniture is met, the usability is improved, and the device is convenient to promote.

The invention discloses a progress monitoring method used for laboratory engineering construction. The method comprises the steps of: creating a building information model of a laboratory, wherein the building information model comprises a 3D building model, and the 3D building model comprises a component model; creating information of a laboratory engineering construction progress plan, and correlating the engineering construction progress plan and the component model of the 3D model; arranging an Internet-of-Things tracking device in the laboratory engineering construction, and acquiring locations of construction devices and construction materials which are tracked by the Internet-of-Things tracking device in real time and in laboratory engineering ; updating engineering construction progress according to location information of the construction devices and the construction materials; and comparing the engineering construction progress and the engineering construction progress plan, and issuing early warning information to a client when the difference between the engineering construction progress and the engineering construction progress plan is greater than a preset threshold value. The method improves the efficiency of monitoring and the level of automation.

The invention belongs to the technical field of biology, and particularly relates to equipment capable of providing self-protection for a cell test tube for a biological cell test. A contraction plateis movably connected to the interior of a workbench, a clamping plate is movably connected to the outer surface of the contraction plate, a telescopic spring is movably connected to the outer surfaceof the clamping plate, a limiting column is fixedly connected to one side of the telescopic spring, a limiting base is fixedly connected to the outer surface of the contraction plate, a limiting groove is formed in the outer surface of the limiting base, a conductor base is arranged on the position, located in the workbench, of the outer surface of the contraction plate, an electromagnetic coil is fixedly connected to the interior of the workbench, a protective base is fixedly connected to the outer surface of the workbench, and an electromagnetic base is fixedly connected to the interior ofthe protective base. The problem of overlarge centrifugal force possibly caused by a stall phenomenon can be prevented in use, so that the defect of cell tissue damage caused by the centrifugal forcecan be avoided, and the correctness of cell tissue sample data is ensured.

The invention belongs to the technical field of the electronic circuit, and provides a signal processing circuit and device for a non-contact position sensor. An oscillation signal is provided for anexciting coil through an oscillation module, and a plurality of induction coils output corresponding induction signals after the mutual inductance with the exciting coils occurs when a location of therotor is changed, a digital signal is output to a digital signal processing module so as to compute and reduce the location information of the rotor after a synchronization rectification module performs the rectification, a switch module performs the gating, a filter module performs the filtering, an amplification module performs the signal amplification and an analog-digital conversion module performs the analog-to-digital conversion, so that an electronic control module performs analysis processing and makes the corresponding execution control; and meanwhile, a multi-phase clock productionmodule is used for adjusting phases of multiple collection ports in the synchronization rectification module in real time so as to correct the location information; the effect of precisely acquiring and correcting the rotor location information is realized, thereby precisely detecting a mechanical device connected with the rotor.

The invention discloses a biological flora culture monitoring system which structurally comprises an operation block, an operation box, a closing door, an oxygen generation block and a cover body, the operation block is installed on the operation box, the operation box is movably connected with the operation block, the closing door is installed on the operation box, the operation box is in clearance fit with the closing door, and the oxygen generation block is installed on the operation box. The operation box is connected with the oxygen generation block, the cover body is installed on the operation box, and the operation box is embedded with the cover body. After the pH of a culture sample liquid is monitored once, an adjusting and monitoring structure after monitoring is completed is replaced by an unmonitored adjusting and monitoring structure through an assembling and connecting structure of an installer; the adjusting and monitoring structure slides along the sliding rod on the rotating block, the adjusting and monitoring structure is pushed into an incubator for monitoring, culture liquid is not adhered to the surface of the adjusting structure replaced by the system, and therefore the situation that monitoring data deviates due to the fact that the culture liquid is adhered to the adjusting and monitoring structure in the monitoring process is avoided.

The invention provides a miRNA marker of immune thrombocytopenia, a kit and application. The miRNA marker is hsa-miR-302e, the base sequence of the marker is shown as SEQ ID NO:1. The base sequences of the miRNA marker's primers are shown as SEQ ID NO:2 and SEQ ID NO:3. The miRNA marker and the primers thereof can be used for preparation of drugs inhibiting immune thrombocytopenia or preparation of immune thrombocytopenia auxiliary diagnosis kit. The miRNA marker can be used for judging the progress and severity of immune thrombocytopenia. The hsa-miR-302e primers, diagnosis kit and detectionmethod developed based on the miRNA marker have the characteristics of simple operation, little trauma to examinees, high sensitivity and strong specificity, and can be used for diagnosis of immune thrombocytopenia at the early stage and different stages, and have obvious clinical application value.