6 results about "Research Object" patented technology

The application discloses a kind of civil aircraft aerodynamic theme data management methods, belong to aerodynamics test data management technical field, the core of management method is using aerodynamic wind tunnel test train table to realize the management of test data for the basic model of civil aircraft and its research category;Managed data includes four levels of research category, research object, project and result, each level contains relevant data resources;The application includes civil aircraft aerodynamic theme data warehousing method based on train table, civil aircraft aerodynamic theme data organization management, civil aircraft aerodynamic theme data retrieval and display, civil aircraft aerodynamic theme data maintenance and civil aircraft aerodynamic theme data call.The application replaces the mode of original data organization with test condition and test state, and operation is more simple, intuitive and convenient and fast.

This invention discloses a microblog group identification method based on community discovery, comprising the following steps: S1, data collection and cleaning; S2, feature extraction and representation; S3, establishing a classification model; S4, community tagging and influence analysis. In this invention, an optimized Dynamic Topic Model (DTM) is used to mine specific groups within the microblog community. Microblog posts from the past year are selected as the research object, and the similarity of topics in posts from different authors is used as the weight of links between authors, mapping the microblog network into a directed weighted network. Community discovery is performed using the Label Propagation Algorithm (LPA), identifying the inherent community structure within the social relationship network. This invention conducts in-depth analysis of user relationships within the microblog network, and based on identification methods for user-generated content characteristics, user association characteristics, and environmental characteristics, it mines potential topics to identify users with similar interests and active user groups in specific fields.

The invention provides an interpretable academic paper retrieval method and device, and relates to the technical field of information retrieval and natural language processing. According to the method, firstly, a knowledge extraction model is used for extracting a plurality of academic element dimensions including research objects, research methods, research fields and the like from paper titles and abstracts; then, constructing a text content and vector bimodal index for each academic element; extracting user query according to the same academic element dimension; respectively executing keyword retrieval and vector retrieval on the basis of each query element, fusing same-dimension results and aggregating cross-dimension results; rearranging the candidate papers by using a semantic sorting model; and finally, generating an interpretable description based on the matching information of each academic element dimension. According to the method, by introducing a multi-dimensional academic element decomposition and mixed retrieval mechanism, the accuracy, correlation and interpretability of academic paper retrieval are remarkably improved, and an efficient and transparent literature retrieval tool is provided for academic researchers.

The application provides a kind of old cognitive impairment scientific research data analysis method and system based on big data, it is related to big data technical field, first, obtain clinical diagnosis and treatment record, neuroimaging examination, cognitive function assessment and follow-up tracking and so on Multiple types of old cognitive impairment scientific research data are integrated into scientific research big data set;Then dynamically associate intervention-related information and data change information therein, build intervention feedback link containing multiple nodes;From the intervention feedback link, the non-explicit association of different nodes in the time dimension is mined, and the implicit time sequence association set is formed;Based on the implicit time sequence association set, the link of multiple research objects is hierarchically aggregated, the group commonness rule and the individual difference rule are extracted, and the group individual rule set is formed;Finally, according to the group individual rule set, the adaptive relationship and the condition are arranged, and the scientific research data analysis result report is generated, which provides effective reference scientific research content for the prevention and treatment of old cognitive impairment.

The application discloses an oil-gas collaborative research implementation method and device based on minimum service units. The method comprises the following steps: generating a research task based on selected research object information and a selected service scene template; distributing the research task to researchers based on selected researchers; receiving research results of each minimum service unit reported by the researchers, and storing identification information of the minimum service units and corresponding research results; and integrating the research results of the minimum service units involved in the research task based on the identification information of the minimum service units, and generating a design scheme of a research object. Efficient collaborative research can be implemented, and a design scheme of a research object can be automatically generated.

The invention provides a big data-based senile cognitive impairment scientific research data analysis method and system, and relates to the technical field of big data, and the method comprises the steps: firstly obtaining multiple types of senile cognitive impairment scientific research data such as clinical diagnosis and treatment records, neuroimaging examination, cognitive function evaluation and follow-up tracking, and integrating the data into a scientific research big data set; then, dynamically associating intervention related information and data change information, and constructing an intervention feedback link containing multiple nodes; mining non-dominant association of different nodes in a time dimension from an intervention feedback link to form a hidden time sequence association set; layering and aggregating links of a plurality of research objects on the basis of the recessive time sequence association set, and extracting a group generality rule and an individual difference rule to form a group individual rule set; and finally, according to a group individual rule set, sorting adaptation relations and conditions, generating a scientific research data analysis result report, and providing effective reference scientific research contents for prevention and treatment of senile cognitive impairment.