3 results about "Expert analysis" patented technology

This application relates to a method, apparatus, electronic device, and storage medium for detecting abnormal server behavior, applied in the field of network security technology. The method includes: real-time acquisition of system call sequences during server process execution; dividing the system call sequence into N runtime phase subsequences, and further dividing the runtime phase subsequences corresponding to the target process's runtime phases into process activity subsequences; segmenting the system call sequence into multiple unidentified subsequences; inputting each unidentified subsequence into a process semantic abstraction model to obtain the named entity recognition result corresponding to each system call in the unidentified subsequence; aggregating and overwriting the named entity recognition results of multiple unidentified subsequences to obtain the named entity recognition result corresponding to each system call in the system call sequence; if unidentified named entities are included, determining that the system call sequence is abnormal, and sending an alarm message. This application can extract process behavior, facilitating expert analysis of abnormal events.

This application discloses an event evolution reasoning and prediction method based on cognitive-driven intelligent generation. First, it utilizes a domain-wide language model to extract expert knowledge points, analysis processes, analytical perspectives, and logical reasoning from event research reports, constructing an interactive thought chain. It then extracts causal reasoning and constructs a causal reasoning network structure. Cognitive logical knowledge is integrated with relevant facts of the event to be predicted and embedded into a prompt template to construct a prompt model. This allows the domain-wide language model to generate event evolution reasoning and prediction results based on expert analysis dimensions and processes. Finally, conflict detection is performed on event elements through closed-loop evidence chain analysis, and credible conclusions are selected to obtain credible prediction conclusions. By constructing prompt templates to guide the large model through cognitive logical learning and combining multi-level credible verification and screening, the technical problem of excessive prediction errors caused by illusions generated by the large model is solved, improving the accuracy and credibility of event evolution prediction.

The application discloses a geomorphology professional question answering service method and system based on geomorphology features. The method acquires geomorphology documents through multiple channels and preprocesses to construct a standardized corpus, encodes text semantics into high-dimensional vectors using vector embedding technology, and then realizes semantic similarity calculation and retrieval based on vector distance measurement to construct a geomorphology knowledge vector database. The LangChain framework is combined to configure a geology expert system prompt template, simulate expert analysis thinking process, form a geomorphology large model, and provide geomorphology professional question answering services covering geomorphology feature, cause process and evolution mechanism interpretation for users. The application significantly improves the accuracy of geomorphology professional knowledge retrieval and the quality of question answering, and provides intelligent professional technical support for geomorphology research and education.