35 results about "Poor correlation" patented technology

PCT No. PCT/EP96/01143 Sec. 371 Date Sep. 5, 1997 Sec. 102(e) Date Sep. 5, 1997 PCT Filed Mar. 13, 1996 PCT Pub. No. WO96/28950 PCT Pub. Date Sep. 19, 1996A device for determining the quality of an output signal to be generated by a signal processing circuit with respect to a reference signal. The device is provided with a first series circuit for receiving the output signal and a second series circuit for receiving the reference signal. The device generates an objective quality signal through a combining circuit which is coupled to the two series circuits. Poor correlation between the objective quality and subjective quality signals, the latter which will be assessed by human observers, can be considerably improved by a differential arrangement present in the combining circuit. This arrangement determines a difference between the two series circuit signals and reduces this difference by a certain value, preferably one that is a function of a series circuit signal. Poor correlation can be improved further by disposing a scaling circuit, between the two series circuits, for scaling at least one series circuit signal. Furthermore, the quality signal can also be scaled as a function of the scaling circuit.

The invention discloses a molecular marker which utilizes a PIGK gene to carry out osteoporosis early diagnosis. With the adoption of a method using a gene chip and QPCR (Quantitative Polymerase Chain Reaction), when blood of normal people and blood of osteoporosis patients have remarkable difference, whether tested people have osteoporosis or not can be judged through detecting an expression condition of the PIGK gene in the blood. According to the correlation of the gene chip and the QPCR, the invention develops a kit for diagnosing the osteoporosis; the kit is used for diagnosing the osteoporosis through detecting the expression of the PIGK gene. The diagnosis kit provided by the invention can be used for early diagnosis of diseases and has a wide clinical application prospect.

The invention relates to a monitoring method of pipe jacking construction process based on BIM technology, Adoption of monitoring system, the system comprises an information preset module, monitoringinformation acquisition module, BIM model import module, monitor information processing and analyze module, data storage module and monitoring information output module. That method comprises the following step: basic information preset, caisson, pipe jacking, monitoring point BIM modeling, monitoring information collection, establishing MDB data file and database center MYSQL, monitoring management interface composition, monitoring point data analysis. The invention can be used for the visual management of the monitoring data in the tunnel construction process, the monitoring data in the pipejacking construction process can be viewed in real time and intuitively, and the related monitoring data can be displayed simultaneously according to the monitoring data analysis, so as to facilitatethe judgment and decision-making of the site management personnel. So as to effectively solve the project data is not intuitive, poor correlation between the data, to ensure the safety of the construction process, to improve the visualization and informatization level of pipe jacking construction process monitoring.

The invention provides a wind resource calculation method based on combination of a medium-scale model and a micro-scale model, and the method comprises the steps: obtaining the actual measurement data of a anemometer tower in a target region, and obtaining the re-analysis data corresponding to the target region as a background field; Performing simulation calculation on the background field through a mesoscale model to obtain WRF mesoscale meteorological mode data; Performing simulation calculation on the background field through a micro-scale model to obtain an OpenFOAM micro-scale calculation result; Establishing a statistical relationship according to the measured data of the anemometer tower and the WRF mesoscale meteorological mode data; And correcting the OpenFOAM micro-scale calculation result by using the statistical relationship to obtain a wind resource correction result. According to the method, operation and prediction can be carried out in regions with poor correlation between medium-scale climate elements and regional climate elements, so that the calculation efficiency is improved, the calculation amount is reduced, and the accuracy of climate simulation is greatlyimproved.

The invention relates to the electromagnetic technology field and provides a radiation sensitivity test method and device under the reverberation chamber condition. The method comprises steps that interfered frequency of tested equipment and right angle components of field intensity at multiple stirring positions in a reverberation chamber are measured, according to the interfered frequency of the tested equipment and the right angle components, an interference probability and a parameter sigma are calculated; according to test frequency and dimensions of the tested equipment, a wave number and a radius of a smallest ball capable of containing the tested equipment are calculated, and a maximum directivity coefficient of the tested equipment is acquired according to the wave number and the radius; according to the parameter sigma, the interference frequency and the maximum directivity coefficient, critical radiation interference field intensity of the tested equipment can be acquired in combination with a preset model. The method is advantaged in that a problem of poor correlation between the radiation sensitivity test result of the tested equipment in the reverberation chamber and a uniform field is solved, the method is especially suitable for complex large-size equipment, and a new concept is provided for the radiation sensitivity test on the equipment under the reverberation chamber condition.

The invention discloses TMF1 genes which can be used as molecular markers for early diagnosis of Parkinsonism. A gene chip and a QPCR method are adopted to find that the TMF1 genes are remarkably different in expression in blood of a normal person and in blood of a patient with the Parkinsonism, that is, whether an object suffers from the Parkinsonism or not can be judged by detecting expression of the TMF1 genes in blood. According to relativity between expression of the TMF1 genes and the Parkinsonism, the invention discloses a kit for Parkinsonism diagnosis. The kit is used for diagnosing the Parkinsonism by detecting expression of the TMF1 genes. The diagnosis kit can be used for early diagnosis of the disease and has a wide application prospect clinically.

The invention discloses an automatic fast positioning system and method of a pipeline block clearing robot. Fast magnetic electric sensor carrying positioning systems such as an unmanned aerial vehicle is adopted to detect a low frequency magnetic signal emitted within the pipeline block clearing robot. Method of signal correlation matching is adopted to realize fast and automatic positioning of the pipeline robot. The automatic fast positioning system comprises a magnetic electrical sensor velocity and altitude detecting system, a magnetic electrical sensor signal receiving system, a positioning signal correlated identification, locating displaying system and the like. During the operation, the pipeline robot emits a low frequency electromagnetic pulse signal from the pipeline, and the signal can penetrate through the pipe walls and reaches outside the pipe for the magnetic electrical sensor to receive. By seeking convolution sum on theoretical waveform(Uz(t)) and appropriate voltage signal (U0(t)) of the sensor receipt signal, the correlation of the theoretical waveform and the appropriate voltage signal can be judged, then obtained (x0, y0) of the GPS is coordinate value of xoy plane of the pipeline robot, thus realizing fast automatic positioning of the pipeline block clearing robot and sharply improving locating and tracking efficiency as well as location preciousness of the pipeline robot.

The invention discloses a session screening method and apparatus. The method comprises the steps of obtaining a self-defined index used for screening sessions, wherein the self-defined index contains an index element and at least one dimension element; according to the self-defined index, extracting a data table set from multiple data tables, wherein each data table in the data table set at least contains any one of the following elements: the index element and the at least one dimension element; and extracting the session with the self-defined index meeting a preset condition from the data table set, and obtaining the screened session. According to the method and the apparatus, the technical problem of resource waste caused by a complex session screening process due to poor correlation of the data tables in a distributed database in the prior art is solved.

The invention discloses an ACADL gene and application of an expression product of the ACADL gene to preparation of an abdominal aortic aneurysm diagnosis and treatment product. As proved by gene chip and QPCR (Quantitative Polymerase Chain Reaction) experiments, compared with normal tissues, ACADL gene expression in abdominal aortic aneurysm tissues is different. A product for diagnosing abdominal aortic aneurysm is provided according to the relevance, and can be used for assisting in diagnosing the abdominal aortic aneurysm by detecting the level of the ACADL gene or the expression product of the ACADL gene in tissues. Moreover, the invention further provides an ACADL gene and an expression product of the ACADL gene, which can be taken as a target for developing an abdominal aortic aneurysm treating medicament in order to assist a clinician in making a personal treatment scheme.

The invention provides a method and a device for evaluating seismic data processing results. The method includes the following steps: calculating the reflection coefficient according to an acoustic logging curve and a density logging curve; selecting a corresponding frequency point from each to-be-evaluated seismic data processing result as the wavelet frequency, and calculating the seismic wavelet corresponding to each to-be-evaluated seismic data processing result; calculating the synthetic record of each seismic wavelet according to each seismic wavelet and the reflection coefficient; and comparing the to-be-evaluated seismic data processing results and the synthetic records of the frequency points to get the correlation, wherein, the stronger the correlation between the seismic data processing result and the synthetic record is, the more truly the seismic data processing result of the corresponding frequency is. According to the technical scheme provided by the invention, each seismic data processing result is evaluated according to the synthetic record of the corresponding seismic wavelet. As the seismic wavelets can be processed at high resolution using the synthetic recordsthereof, the seismic processing results can be accurately evaluated using the synthetic record results of the seismic wavelets.

The invention discloses application of an LILRA2 gene as a molecular marker for diagnosing multiple myeloma. Through adoption of a gene chip, a QPCR experiment shows that an LILRA2 gene expression product has significant difference between expression in normal myeloid tissue and expression in multiple myeloma tissue, namely the detection of expression condition of the LILRA2 gene in the myeloid tissue can be used for determining whether a tested person suffers from multiple myeloma or has the risk of suffering from multiple myeloma. A kit for diagnosing multiple myeloma is developed according to the relevance between the LILRA2 gene and the multiple myeloma; the kit can be applied to early diagnosis of diseases and has an extensive application prospect in clinic. In addition, the invention also discloses application of the LILRA2 gene as a molecular target for treating multiple myeloma and provides the basis for development work of medicines for treating multiple myeloma.

The invention provides a telephone traffic monitoring method and system based on electricity consumption of power supply. The method includes the following steps that according to the preset correlation between historical telephone traffic data and historical electricity consumption data, a telephone traffic monitoring model is established; a correction factor of the electricity consumption is obtained after discretization processing is carried out on the historical telephone traffic data and the historical electricity consumption data; the telephone traffic monitoring model is corrected according to the correction factor of the electricity consumption, the telephone traffic of a predicted period is monitored according to the corrected telephone traffic monitoring model, and a telephone traffic monitoring result is obtained; warning information is generated according to the telephone traffic monitoring result. The telephone traffic monitoring method and system are simple in processing process and good in reliability and stability.

The invention relates to a method for monitoring the shallow trench isolation etching shape of a semiconductor device, and relates to the technical field of microelectronics. The method includes stepsof S1, collecting the actual measurement spectrum of the semiconductor device for semiconductor device STI structures with different etching times by using an optical line width measuring instrument;S2: modeling and defining the theoretical model structure of a TCR structure; S3, slice determining the actual data of the TCR structure; S4, according to the actual measurement spectrum collected inthe step S1 and the theoretical model structure in the step S2, obtaining the measurement program library file of the TCR structure by further analysis and calculation; S5: collecting the theoreticaldata of the parameters of the TCR structure to be monitored by using the measurement program library file, and establishing a relationship between the theoretical data and the actual data collected in the step S3, and determining a correlation coefficient R2 of the theoretical data and the actual data; S6, obtaining the parameters of the TCR structure by using the correlation coefficient R2 and the measurement program library file obtained in the step S4. The method monitors the TCR structure shape, and achieves a purpose of stabilizing the shallow trench TCR structure process.

The invention discloses a molecular marker of a CTSD gene for early diagnosis of respiratory syncytial virus infection. The molecular marker adopts second generation sequencing and a QPCR method to find out that the expression of the CTSD gene in the blood of normal people and respiratory syncytial virus infected patients is significantly different, namely, the molecular marker judges whether a person to be test is infected with respiratory syncytial virus or not by detecting the expression of the CTSD gene in the blood. According to the correlation between the molecular marker and the respiratory syncytial virus, the invention develops a kit for diagnosing respiratory syncytial virus infection, and the kit detects the expression of the CTSD gene to diagnose respiratory syncytial virus infection. The diagnostic kit can be used for early diagnosis of diseases, and has a wide application prospect in clinic.

The invention discloses a KDSR gene which can be used as a molecular marker for early diagnosis of myocardial infarction. Through next-generation sequencing and QPCR method, the KDSR gene is found tohave significant difference in expression in blood of normal persons and myocardial infarction patients, i.e., whether a subject suffers from the myocardial infarction or not can be judged by detecting expression conditions of the KDSR gene in the blood. According to the correlation between the KDSR gene and the myocardial infarction, the invention develops a kit for diagnosing the myocardial infarction; the kit diagnoses the myocardial infarction by detecting the expression of the KDSR gene. The kit disclosed by the invention can be used for the early diagnosis of the myocardial infarction and has a broad clinical application prospect.

The invention discloses a CMIP gene capable of being used as a molecular marker for distinguishing Dengue fever and Dengue hemorrhagic fever. By a high-throughput sequencing and RT-PCR method, the CMIP gene has significant expression difference in blood of normal people and patients with Dengue fever and Dengue hemorrhagic fever, i.e., whether a subject suffers the Dengue fever or the Dengue hemorrhagic fever can be judged by detecting the expression condition of the CMIP gene in the blood. According to the correlation of the Dengue fever and the Dengue hemorrhagic fever, the invention develops a kit for diagnosing the Dengue fever and the Dengue hemorrhagic fever. The kit is used for performing the Dengue fever and Dengue hemorrhagic fever diagnosis by detecting the CMIP gene expression.The diagnosis kit can be used for early diagnosis of diseases and has wide application prospects in clinics.

The invention discloses a ranging code correlation integral improvement method for satellite navigation, the method comprises the following steps: 1) high-order signal representation, ranging code phases are subjected to Taylor expansion and carrier phases are not expanded; 2) received signals are correlated with reproduced signals, and the carrier phase of the local reproduced signal is adjustedthrough the deviation of carrier phases obtained from the carrier correlation integral loop, so that the phases of the received signal and reproduced signal carrier components are completely aligned;3) the correlation integral of the ranging code is solved. Under the high dynamic condition, the result of the high-order correlation integral of the ranging code has obvious nonlinear relationship with the deviation of velocity, acceleration and accelerated acceleration, and thus the traditional method has the problem of poor correlation integral precision. Seen from Figure 4 to Figure 7, The improved model of the invention has very little error in the related integral result caused by the deviation value in the dynamic range of simulation., indicating that the correlation integral calculatedby the difference interval length and method is relatively high in accuracy.