69 results about "Interactive analysis" patented technology

The invention discloses a retrieval enhancement question and answer generation method and system based on a large language model in combination with a multi-agent cooperation mechanism. The method comprises the steps of S1, text preprocessing and semantic difference enhancement and amplification; s2, checking and complementing user questions; s3, evaluating problem complexity and selecting a generator; s4, text retrieval and answer generation; the system comprises an information enhancement processing module, a query understanding optimization module, a question complexity intelligent evaluation module and a collaborative answer generation module, and is used for realizing the method. According to the method, a multi-agent collaborative RAG framework of an information enhancement agent, an interaction analysis agent and a problem complexity evaluation agent is introduced, and semantic difference enhancement and amplification, query integrity verification and complementation and a dynamic generation strategy based on problem complexity are performed after hierarchical document partitioning are combined; and the performance of the system in the aspects of semantic distinguishing capability, query understanding precision, generation efficiency and reliability is comprehensively improved.

The embodiment of the invention provides a network spoofing defense method and system based on AI virtual topology generation, and the method comprises the steps: continuously collecting multi-source heterogeneous data in a network, and constructing and dynamically updating a real network topology portrait based on the multi-source heterogeneous data; on the basis of a generative adversarial network model, adversarial training is carried out by taking the real network topology portrait as a training sample, the structure and characteristics of a real network are learned, and a dynamically changing simulation virtual network topology is generated; seamless fusion and dynamic deployment are carried out on the simulation virtual network topology and the real network, and a trapping environment is constructed; monitoring and recording an attack behavior of an attacker in the trapping environment, and performing deep interaction analysis on the attack behavior and generating threat intelligence; and based on the threat intelligence, dynamically optimizing a deception strategy and executing a closed-loop control response. According to the embodiment of the invention, the virtual topology which is highly similar to a real network but is completely imaginary can be dynamically generated by utilizing artificial intelligence.

The invention belongs to the technical field of underground engineering and computer-aided engineering analysis, and particularly relates to an anti-seismic safety collaborative analysis method for multi-modal data of proximity tunnel engineering. By integrating engineering geology, structural design, construction monitoring and multi-level seismic oscillation data, a three-dimensional numerical model fusing geology and structural information is constructed. Firstly, refined simulation of the whole construction process and the operation static load is carried out, and a reference mechanical state is obtained; carrying out multi-task condition earthquake dynamic time history analysis on the basis, dynamically capturing dynamic response of surrounding rock and a structure, carrying out collaborative interpretation on static and dynamic analysis results, emphatically analyzing spatio-temporal evolution and connectivity risks of a tunnel anchor and an adjacent highway tunnel surrounding rock plastic zone, and extracting a plurality of quantitative collaborative indexes; and an interactive analysis report integrating a three-dimensional visual scene, a multi-dimensional comparison chart and a rule base-based safety interpretation conclusion is automatically generated, and systematic decision support is provided for seismic design, construction control and safety evaluation of proximity projects.

The invention discloses a construction method of a single-cell multi-omics data analysis system based on a containerization technology, and the construction method of the single-cell multi-omics data analysis system based on the containerization technology comprises the following steps: constructing a single-cell multi-omics analysis modular toolkit; a production mirror image is constructed on the high-performance cluster through a Single container engine, and deployment of a production environment is completed; a single-cell multi-omics automatic analysis platform is built through a snakemake process engine; and a JupyterLab interactive analysis platform for exploratory analysis of the single-cell multi-omics data is constructed. According to the single-cell multi-omics data analysis system construction method based on the containerization technology, the data acquisition link in the analysis process is accelerated, an automatic working process is formed to solve the problem of complex process, and the actual requirements of multiple users on a high-performance computing cluster for scientific exploration and analysis of single-cell data are met.

The invention provides a geological exploration data visualization dynamic processing method and system, and relates to the technical field of intelligent geological exploration, and the method comprises the steps: constructing a prior three-dimensional geological structure model and a forward substitution model; constructing a multi-source joint loss function based on forward modeling output of the forward modeling substitution model and geological survey data; based on a multi-source joint loss function, performing layer-by-layer reasoning reconstruction on geological point cloud parameters in the prior three-dimensional geological structure model to obtain a dynamic three-dimensional geological parameter set; performing fusion rendering and interaction analysis on the dynamic three-dimensional geological parameter set to obtain a visualization result of a fusion geological structure and multi-field evolution information, and constructing a scene deduction component based on the dynamic three-dimensional geological parameter set and a forward substitution model; according to the geological situation sensing and deduction early warning method and device, high-precision geological situation sensing and deduction early warning can be achieved through deep fusion of the forward modeling model constrained by physical information and the layered dynamic inversion algorithm.

The invention relates to the technical field of virtual reality application, in particular to a virtual reality assisted urban and rural spatial layout visualization planning system, which comprises a data acquisition and preprocessing module, a three-dimensional modeling module, a virtual reality visualization module, a planning analysis module and an interaction and feedback module. Wherein the data acquisition and preprocessing module is used for acquiring and preprocessing urban and rural spatial data; the three-dimensional modeling module is used for constructing a three-dimensional urban and rural model based on the preprocessed spatial data; the virtual reality visualization module is used for importing the three-dimensional urban and rural model into a virtual reality environment to generate a VR visualization scene; the planning analysis module is used for performing spatial layout analysis and outputting a planning analysis result; and the interaction and feedback module is used for receiving user interaction input and updating the planning scheme in real time. According to the urban and rural spatial layout planning method and system, by integrating the processes of data preprocessing, three-dimensional modeling, virtual reality visualization and dynamic interactive analysis, visual expression and real-time optimization of urban and rural spatial layout planning are achieved.

The invention relates to a large sample exploratory experiment conclusion macro-micro interaction verification method and system, the method is used for constructing a'macro-interaction-micro 'three-layer linkage analysis framework, and the framework comprises a macro conclusion layer, an interaction analysis layer and a micro instance layer; the interaction analysis layer is used for connecting the macroscopic conclusion layer and the microscopic instance layer; the method comprises the four steps of automatic discovery and presentation of a macroscopic conclusion, interactive deep exploration and verification based on the macroscopic conclusion, macro-micro bidirectional linkage and sample screening, and concrete redisk and causal verification of micro instances. Through the method, interactive verification of a macroscopic conclusion and a microcosmic instance is realized, and the interpretability and credibility of the conclusion are remarkably improved. According to the method, a macroscopic and microcosmic barrier is broken through, a cognitive closed loop from'knowing the course 'to'knowing the course' is constructed, and a more robust basis is provided for decision making.

The invention discloses a spatial intelligent scene early warning method and system based on three-layer cooperative constraint, relates to the field of spatial modeling, and solves the problem that the spatial intelligent scene early warning method is poor in early warning effect. S2, establishing a scene three-dimensional coordinate system and a model three-dimensional coordinate system according to an acquisition result, performing interactive analysis on the scene three-dimensional coordinate system and the model three-dimensional coordinate system, and obtaining regional laser point division data according to an analysis result; s3, performing scene intelligent analysis on the target early-warning area according to the early-warning area real-time interaction model, issuing space intelligent early warning according to an analysis result, and establishing an early-warning area real-time interaction model on the basis of the model edge sampling points. According to the invention, the accuracy of a space intelligent early warning result can be improved.

This application discloses a method, device, and electronic device for displaying energy flow in a power plant, belonging to the field of new energy power plant technology. The method includes: generating an energy flow diagram corresponding to the current power plant configuration and displaying it on an interface; the energy flow diagram includes multiple visual elements, each visual element including at least source nodes and carrier nodes representing power plant equipment, and path elements representing the energy flow relationship between source nodes and carrier nodes; responding to user interaction with any node or path element, determining the energy path where the interacted node or path element is located; updating the rendering state of the energy path on the interface to make the energy path appear locally focused relative to other energy paths. This application achieves energy path-level visualization and interactive analysis based on power plant equipment topology, improving the accuracy of expressing power plant energy flow relationships and the efficiency of analyzing multi-dimensional operational data.

The invention relates to the technical field of high-current particle beam diagnosis, in particular to a high-energy ion beam three-dimensional reconstruction method and system based on secondary electron emission signals. According to the technical scheme, the method comprises the steps of data preprocessing and conversion, geometric space up-sampling, point assignment generation and model boundary division and output. According to the method, the spatial sparsity of original data is overcome through geometric upsampling, the fidelity of physical attribute reconstruction is remarkably improved by utilizing a topological structure based on a minimum spanning tree and a primary function frequency superposition model, automatic and accurate division of beam boundaries is realized according to a physical threshold value, an end-to-end automatic processing flow is formed, and the method has the advantages that the method is simple and convenient to operate and high in practicability. And outputting a visual three-dimensional model supporting interactive analysis, systematically solving the problems of data sparsity, interpolation distortion and boundary fuzziness in the prior art, and realizing high-precision and high-efficiency reconstruction and visual analysis of the three-dimensional form of the high-energy ion beam.

The application relates to the technical field of data security processing, and discloses a safe interaction analysis processing system for cross-department supervision collaborative data, which comprises a strategy fingerprint generation module, an access authorization issuing module, a data compliance packaging module, a security verification loading module, a joint accounting analysis module and a result output auditing module.The strategy fingerprint generation module is used for generating a strategy fingerprint based on task information; the access authorization issuing module is used for performing attribute authorization and issuing a bill according to the strategy fingerprint and a user identity; the data compliance packaging module is used for generating a compliance view according to the strategy fingerprint and performing deterministic desensitization and encryption packaging; the security verification loading module is used for verifying the consistency of a packaging bag and loading the packaging bag into a temporary session library to generate a session fingerprint; the joint accounting analysis module is used for performing deterministic joint accounting and early warning determination; and the result output auditing module is used for clipping an accounting result and generating an auditable proof bag.The early warning distribution monitoring module is used for pushing early warning information and monitoring a task execution state.The application realizes trusted interaction, compliance analysis and traceable management of cross-department supervision data under the condition of scattered storage.

The application discloses a multi-peak decomposition time-resolved Raman spectrum thermal map interactive analysis method and system, and belongs to the field of spectrum analysis. The method comprises the following steps: continuously or time-divisionally collecting a to-be-measured sample to obtain Raman spectrum data corresponding to different time points; preprocessing the original Raman spectrum data; extracting spectral characteristic peaks by using an adaptive peak value recognition algorithm, and performing characteristic peak integral calculation; obtaining time contribution coefficients of different chemical components or characteristic signals in the time dimension by using a multi-peak decomposition algorithm; generating a Raman thermal map in the time dimension according to the characteristic peak intensity and / or the time contribution coefficients; establishing an index mapping relationship between the position of the Raman thermal map and the corresponding time Raman spectrum data; and responding to the interactive operation of the user on the thermal map and displaying the Raman spectrum curve at the corresponding time point in real time. The application can realize visual display, dynamic monitoring and interactive analysis of time sequence data of Raman spectrum, and improves the efficiency and accuracy of Raman signal analysis of dynamic samples.

The invention relates to the technical field of power grid project cost management and business intelligence, and discloses a project cost multi-stage intelligent analysis and examination method, system, equipment and medium, and the method comprises the steps: building a power grid project cost data warehouse, and achieving the integration and standardization of multi-source cost data; establishing an OLAP multi-dimensional analysis model, and supporting general cost comparison and key index analysis in a budget calculation stage, feasibility research estimation, preliminary design budget calculation, completion settlement three-calculation comparison, first supply material check and review list consistency check in a settlement stage; designing an intelligent decision engine based on data mining, and generating review opinions through association rules, a classification algorithm and an anomaly detection technology; and a BI visual instrument panel is developed, and multi-dimensional display, real-time monitoring and interactive analysis of the power grid cost data are realized. Through systematic application of the BI technology, deep mining, intelligent decision and visual display of engineering cost analysis are realized, and the efficiency and precision of cost review are remarkably improved.

The application discloses a code automatic generation method for power grid dynamic intelligent calculation and interactive analysis, comprising the following steps: formulating a code generation plan for power grid calculation problems; generating a real-time state estimation result of power grid dynamic topology embedding according to real-time power grid measurement data; analyzing the structured instructions of each subtask in the code generation plan, fusing the structured instructions with the power grid dynamic topology embedding to construct an enhanced Prompt to guide a double-teacher model of a large language model and a simulation mechanism model to generate a <Q, think, A> data set of code sequences, taking a base large language model as a student model, selecting samples from the data set to train the student model, then selecting a preferred data set from the data set to conduct reinforcement learning on the student model in combination with the power grid dynamic topology embedding, and generating codes according to the code generation plan and the power grid dynamic topology embedding by using the trained student model. The application significantly improves the automation and intelligent level of power grid calculation.

The application relates to the technical field of data processing, in particular to a legal document data sharing method based on data analysis, which comprises the following steps: cutting a legal document text according to a part of speech boundary, dividing the legal document into multiple sharing nodes according to legal element parts of speech, performing structural analysis on each sharing node, extracting structural data corresponding to each sharing node based on the integrated relationship of each piece of information in the sharing node, performing interactive analysis on the structural data of each sharing node, outputting the analysis result of the current legal document in the form of clustering of a similar set and a conflict set after multiple text inputs in a parameter interaction mode, performing abnormal clustering detection based on the analysis result of the current legal document, identifying difference nodes between the sharing nodes in the access order of the sharing nodes, connecting the identified difference nodes with adjacent sharing nodes, and completing the configuration of each sharing node. The method improves the efficiency of legal document processing and the consistency of structural division.

The invention discloses a regional tourism development decision report generation method based on big data assistance, which comprises the following steps of: firstly splitting a decision report into multi-level directory titles according to contents to form a directory tree of the titles; on the basis of title content of each minimum subdirectory of the directory tree, related existing file data are collected and arranged to form existing file databases and / or hyperlinks corresponding to titles of the minimum subdirectories; generating report contents corresponding to the minimum subdirectory titles by adopting a direct reference and / or partial excerpt and / or reference writing mode for the existing file data associated with each minimum subdirectory title; and finally generating the overall decision report content. According to the method, data acquisition and treatment in the tourism field can be realized, man-machine interaction analysis is realized, development decision planning suggestions are obtained, and the method has the characteristics of high generation efficiency and good reference and executability.

The application discloses a kind of legal dossier intelligent retrieval method and system based on multimodal heterogeneous big model, comprising: obtaining original legal dossier data containing text, image and table, carrying out multimodal analysis and structured preprocessing;Through multimodal heterogeneous big model, each modal depth feature is extracted and is fused using multimodal cross attention mechanism;Case element sparse graph is constructed and is optimized by optimization algorithm;Robust learning real value multi-index model algorithm is applied to weight adjustment and vector optimization;Through random recovery sampling technology, candidate case subset is screened and multidimensional matching calculation is carried out;Similar historical case list is visualized and interactive analysis and processing are carried out.The application improves the accuracy and efficiency of legal dossier intelligent retrieval by multimodal fusion understanding, sparse graph optimization and robust learning technology, provides accurate case reference and decision support for legal workers.

The application discloses a kind of space intelligent scene early warning method and system based on three-layer cooperative constraint, it is related to space modeling field, solve the problem that space intelligent scene early warning method exists and is not good warning effect, including steps S1: target early warning area is carried out scene information collection, according to the creation scene three-dimensional coordinate system and model three-dimensional coordinate system of acquisition result, and it is carried out interactive analysis, according to the regional laser point division data of analysis result, step S2: according to regional laser point division data, effective area laser point is judged to straight line equation, according to the extraction of model edge sampling point in effective area laser point according to the judgment result, and create early warning area real-time interactive model based on model edge sampling point, step S3: according to early warning area real-time interactive model, target early warning area is carried out scene intelligent analysis, according to the space intelligent early warning of analysis result issue, the application can improve the accuracy of space intelligent early warning result.

The application discloses a kind of wear monitoring method and system of shield cutter, belong to cutter quality monitoring technical field, comprising: to scanning frequency is differentially encoded, and to cutter is zoned scanning, obtain the vibration signal of target cutter, and carry out multi-scale feature extraction, generate time-frequency energy spectrum, avoid single scale feature to the misjudgment of complex wear mode;Acquire cutter temperature field distribution, identify local over-temperature area, associated to corresponding cutter coordinate, and carry out wear interactive analysis, calculate interactive compensation matrix, to generate the wear characteristic of target cutter;Build wear mapping library, carry out wear state identification, and dynamically adjust classification threshold, once the characteristic value of target cutter continuously exceeds classification threshold, marked as abnormal wear, trigger cutter changing mechanism, generate cutter changing sequence, inhibit wear chain reaction.

The present disclosure relates to an information processing system and an information processing method using a server system and a data analysis client terminal. The main object is to provide an information processing system capable of coping with an increase in the amount of information processing involved in the analysis of biological samples. The present disclosure provides a server system including: an automatic analysis processing unit that generates output data by performing analysis processing on light intensity data or fluorescent marker intensity data obtained by irradiating light on a biological sample; an analysis result data storage unit that stores output data generated based on the light intensity data or the fluorescent marker intensity data; and an interactive analysis processing unit that analyzes the fluorescent marker intensity data based on an analysis command related to the output data output to an output device, and outputs analysis result data. The present disclosure also provides an information processing system including the server system.

This invention proposes a data-driven 3D chart de-occlusion focus tracking method, comprising: S1, identifying and maintaining the state of the focus Ptarget through user interaction signals to determine whether de-occlusion processing is triggered; S2, constructing a semantic hierarchical structure based on the category, time series, and weight of data points to determine the object's visibility priority; S3, detecting whether the focus is occluded using depth buffering and geometric projection, and determining the occluder to be weakened based on semantic priority; S4, performing local transparency perturbation processing on the occluder within the focus's line of sight to generate a sparse semi-transparent effect, allowing the focus to be presented unoccluded without disrupting the global structure; and S5, enhancing the focus's halo and saliency, and merging it with the weakening layer to ensure the focus remains stable, clear, and trackable in complex 3D scenes. This invention can effectively improve the focus visibility and interactive analysis capabilities of 3D charts.

The present application belongs to the technical field of underground engineering and computer-aided engineering analysis, and particularly relates to a kind of multi-modal data seismic safety collaborative analysis method for near tunnel engineering. By integrating engineering geology, structure design, construction monitoring and multi-level ground motion data, a three-dimensional numerical model is constructed that integrates geological and structural information. First, a fine simulation of the entire construction process and static load operation is performed to obtain the baseline mechanical state. Based on this, multi-task ground motion dynamic time history analysis is carried out to dynamically capture the dynamic response of the surrounding rock and structure. The static and dynamic analysis results are interpreted collaboratively, with a focus on analyzing the time and space evolution of the tunnel anchor and the plastic zone of the surrounding rock of the adjacent highway tunnel, as well as the risk of connection. Multiple quantitative collaborative indicators are extracted, and an interactive analysis report is automatically generated that integrates three-dimensional visualization scenes, multi-dimensional comparison charts, and safety interpretation conclusions based on a rule base. This provides systematic decision support for seismic design, construction control and safety evaluation of near engineering.

The present disclosure relates to a server system, an information processing system, a data acquisition client terminal, a data analysis client terminal, and an information processing method. The main object is to provide an information processing system capable of coping with an increase in the amount of information processing involved in the analysis of biological samples. The present disclosure provides a server system including: an automatic analysis processing unit that generates output data by performing analysis processing on light intensity data or fluorescent marker intensity data obtained by irradiating light on a biological sample; an analysis result data storage unit that stores output data generated based on the light intensity data or the fluorescent marker intensity data; and an interactive analysis processing unit that analyzes the fluorescent marker intensity data based on an analysis command related to the output data output to an output device, and outputs analysis result data. The present disclosure also provides an information processing system including the server system.

The multi-view correction model interactive analysis method based on integral gradient method includes: S1. Extracting features of the input image in the model based on integral gradient method and quantifying the model features of the input image; S2. Optimizing feature points by using the SLIC algorithm to perform superpixel segmentation on the input image and then optimizing feature points; S3. Designing a multi-view visual page to make the ML black-box model interpretable; S4. Optimizing the model based on the multi-view visual page: analyzing the model based on the multi-view visual page, identifying the causes of model classification errors, and optimizing the model. This invention can make neural network models interpretable from a black-box state, enabling the model's input and output results to form a reasonable logical relationship, and making the internal structure of the model more transparent.

The invention relates to the technical field of financial data, in particular to a fund flow automatic marking and suspicious behavior recognition method based on semantic enhancement, comprising the following steps: S1, multi-stage data preprocessing and preliminary marking: receiving an original fund flow file uploaded by a user, and calling a data governance service to execute field cleaning, format standardization and entity alignment operations on the original fund pipeline data, and performing preliminary classification on the cleaned data based on a predefined business rule base. According to the invention, the defect of insufficient hidden suspicious behavior identification capability of a traditional method is overcome; the technical threshold of case handling personnel is greatly reduced through interactive analysis, the report generation efficiency is improved by more than 5 times, and the working efficiency is remarkably improved; the whole system supports rapid deployment in scenes of financial supervision, public security investigation, discipline inspection and supervision and the like, can effectively prevent financial risks and fight against illegal and criminal activities, and has remarkable social benefits and commercial values.

The application discloses an art work analysis method and a terminal. Art work data input by a user is received and preprocessed, and a convolutional neural network is used to extract multi-level art features from the preprocessed art work data, so that multiple art key features of the art work, such as composition features, color features and brush stroke features, can be effectively extracted. Furthermore, multi-dimensional analysis results are generated according to the art key features, the analysis of the art work can be performed according to user requirements, and intelligent and interactive analysis of the art work is realized.

The invention discloses a digital periodontal soft tissue prognosis prediction method, an aesthetic design method and a system, and the method comprises the steps: obtaining original CBCT image data, carrying out the data processing, obtaining a three-dimensional data model, carrying out the recognition, segmentation and post-processing of a hard tissue anatomical structure in the three-dimensional data model, and obtaining the three-dimensional digital model data of a tooth root and upper and lower jawbones; the method comprises the following steps: acquiring original scanning image data, converting the acquired original scanning image data into point cloud data, and performing optimization processing and feature extraction on the point cloud data to obtain a dental crown and gingival soft tissue three-dimensional digital model; registering and fusing the three-dimensional digital models of the tooth root and the upper and lower jawbone as well as the dental crown and the gingival soft tissue to obtain an initial three-dimensional digital oral cavity anatomical model, carrying out geometric operation, and carrying out stretching treatment by utilizing a Laplace surface editing algorithm to obtain a three-dimensional digital oral cavity model; and performing visual display and interactive analysis on the initial three-dimensional digital oral anatomical model and the three-dimensional digital oral model, and predicting a prognosis effect.

The invention discloses a data visualization method and system based on marine archaeological survey results, belongs to the technical field of computer data processing and visualization, and aims to solve the technical problems of difficulty in integration of multi-source heterogeneous data, single visualization form and insufficient interactivity in existing marine archaeological data visualization. According to the method, multi-source marine archaeological survey data is acquired, standardized preprocessing and space-time registration are completed, a'ruin-detection area-cultural relic point-literature 'four-layer associated data model under a unified space-time reference system is constructed, and seabed three-dimensional scene construction, multi-source data fusion and multi-dimensional visual mapping rendering are realized. And meanwhile, an interactive analysis interface is provided to support result exploration and query, and multi-end output is realized through an output module. The system for realizing the method comprises a data access module, a data governance module, a visual processing engine module, an interaction analysis module and an output module. Integrated management and fusion display of multi-source data are achieved, the scientific research value and the science popularization effect of marine archaeological achievements are improved, and the method can be widely applied to the fields of marine archaeological research, cultural relic protection and science popularization.

A data ingestion system processes data files through a dual-path architecture to enable rapid interactive data analysis. The system routes incoming files below a size threshold to a fast conversion path and larger files to a batch processing path. For files in the fast path, the system concurrently processes metadata and data instead of following traditional sequential processing. A metadata controller assigns storage locations and manages table definitions while a direct format converter transforms source files into query-ready columnar format. A query processor provides unified access to converted data across both processing paths. The system reduces processing latency by eliminating batch processing overhead for small files, enables immediate data querying through coordinated storage management, and maintains data consistency through stateful job tracking. This architecture enables rapid processing for interactive analysis while preserving robust batch processing capabilities for larger datasets.

This invention discloses a structural interpretation correction method based on model forward modeling and interleaved profile analysis, which proceeds in the following steps: S1. For structurally complex areas where seismic profile interpretation has multiple solutions, perform multi-scheme interpretation to obtain various structural interpretation schemes; S2. For each structural interpretation scheme, design a corresponding geological model to obtain multiple geological models; S3. Perform model forward modeling on each of the multiple geological models to obtain multiple forward modeling horizontally stacked profiles; S4. Interleave the multiple forward modeling horizontally stacked profiles with the processed horizontally stacked profiles for analysis; S5. Determine the optimal structural interpretation scheme. This invention belongs to the field of seismic exploration technology for oil and gas. It can correct and verify structural interpretation schemes during the structural interpretation process, making the interpreted structural results closer to the actual subsurface structural morphology, fundamentally improving the accuracy of structural results, and achieving the goal of accurately predicting subsurface structural morphology.