13 results about "Search computing" patented technology

A device, method, and computer readable medium for automating processes in digital environments. Illustratively, the method includes providing an instruction to implement at least one operation on a target computing platform. The method includes executing one or more commands to search for one or more locations of the target computing platform to determine a target property. The one or more commands search based on at least one pre-configured parameter of a plurality of pre-configured parameters for searching computing platforms. The method includes determining (e.g., using machine learning) at least one automated command to execute based on the determined target property of the target computing platform and the at least one operation. The at least one automated command is selected from an automated command repository for detecting anomalies in digital environments. The method includes executing the determined at least one automated command to detect anomalies.

A material search computing system generates a joint feature comparison space by combining joint image-text features of surface material data objects. The joint feature comparison space is a consistent comparison space. The material search computing system extracts a query joint feature set from a query data object that includes text data or image data. In addition, the material search computing system compares the query joint feature set to the joint image-text features included in the joint feature comparison space. Based on the comparison, the material search computing system identifies a result joint feature set and associated result surface material data objects. The material search computing system generates material query result data describing the result surface material data objects, and provides the material query result data to an additional computing system.

The application relates to the technical field of trajectory planning, and proposes a fast evaluation search method, a system and a terminal device of an optimal trajectory. The fast evaluation search method comprises the following steps: sampling a plurality of state points in a pre-planning space, performing pre-collision detection on the state points to remove points in conflict with obstacles, and obtaining effective sampling points; performing cost evaluation on the effective sampling points, wherein the cost evaluation comprises heuristic cost based on historical planning trajectory information and static cost based on motion characteristics; based on the result of the cost evaluation, iteratively searching from an initial state point: calculating the trajectory cost of a neighborhood state point and updating a search path in a gradient direction until an optimal feasible trajectory is output. The application improves the search efficiency of the trajectory by pre-collision detection to screen out invalid sampling points and a gradient iterative search mechanism.

A device, method, and computer readable medium for automating processes in digital environments. Illustratively, the method includes providing an instruction to implement at least one operation on a target computing platform. The method includes executing one or more commands to search for one or more locations of the target computing platform to determine a target property. The one or more commands search based on at least one pre-configured parameter of a plurality of pre-configured parameters for searching computing platforms. The method includes determining (e.g., using machine learning) at least one automated command to execute based on the determined target property of the target computing platform and the at least one operation. The at least one automated command is selected from an automated command repository for detecting anomalies in digital environments. The method includes executing the determined at least one automated command to detect anomalies.

A cybersecurity service (“service”) obtains alerts indicating security policy violations for assets in a computing environment and the corresponding issue category(ies) associated with each violation. For each alert, the service determines which asset in the computing environment to target for remediation of the associated violation by searching a graph representation of the computing environment based on the affected asset's type and / or the issue category. The service identifies a target asset and other assets related to the affected asset and the target asset as a result of searching the graph and generates a remediation plan indicating actions to take on the target asset to remediate the security policy violation for the affected asset based on the target asset type and the corresponding issue category. The service indicates the remediation plan, the related assets identified due to the graph traversal, and their corresponding security policy violations within the same issue category.

The application discloses a satellite signal lock loss relocation method, system, device and storage medium, the method comprises the following steps: taking the carrier NCO value and code NCO value before lock loss as the center, a two-dimensional search range is constructed; searching in the two-dimensional search range, calculating the non-coherent accumulation value of each grid point, and finding the maximum non-coherent accumulation value; according to the size of the maximum non-coherent accumulation value, judging the peak interval to which the maximum non-coherent accumulation value belongs; when the maximum non-coherent accumulation value belongs to the first peak interval, a traditional frequency-locked loop reentry locking mode is adopted; when the maximum non-coherent accumulation value belongs to the second peak interval, a high-sensitivity reentry locking mode is adopted. The application improves the lock loss relocation sensitivity under weak signals, effectively guarantees the availability of the receiver under weak signals, and solves the problem of lock loss relocation under weak signals.

The invention relates to the technical field of point cloud registration and splicing, and discloses a rapid color point cloud feature histogram registration method. According to the technical scheme, a color point cloud to be registered is obtained, a calculation radius is set, and a point cloud normal is calculated; calculating geometric features of the point clouds, and obtaining key points of the source point clouds and the target point clouds; performing neighborhood search on the key points, calculating geometric and color features of the key points, and constructing a color fast feature histogram of the key points; performing feature matching to obtain an initial feature matching pair; obtaining an optimal transformation matrix by using a random sampling consistency algorithm; and the obtained optimal transformation matrix is used as an initial transformation matrix to complete coarse registration of the source point cloud and the target point cloud, and an iterative nearest point algorithm is used to complete fine registration. The method has the beneficial effects that through the steps, the purpose of point cloud fine registration can be achieved. The method has the advantages of high speed, small error, high efficiency and the like. And an important technical support is provided for dynamic data acquisition in a tunnel construction process.

The invention discloses a two-step mobile search reachability calculation method fusing aspect-level sentiment analysis, and relates to the technical field of geographic information. According to the technical scheme, the method comprises the steps of obtaining public facility data, population data, traffic data and a public facility evaluation text of a user, and preprocessing the data; performing fine tuning on the general sentiment analysis model, constructing a domain-specific model, performing intelligent selection between the general model and the specific model through a dynamic confidence routing algorithm, and outputting a sentiment score; the service capability of the public facilities is evaluated by adopting a range standardization method and an information entropy method in combination with the scale and other attributes of the public facilities; and calculating the accessibility of the public facilities in combination with traffic network data and population space distribution multi-source data. The method has the beneficial effects that the limitation that traditional reachability analysis only depends on spatial distance and facility scale is broken through, subjective feeling of a user is brought into a quantitative evaluation system, organic fusion of objective indexes and subjective evaluation is realized, and a new analysis framework is provided for urban public service facility planning.

Disclosed are methods and systems for: receiving raw geoscience or energy domain data associated with a resource site, such that the raw geoscience or energy domain data comprises a plurality of textual data and image data having a plurality of disparate file / document formats; receiving a user input associated with the raw geoscience or energy domain data; applying the raw geoscience and energy domain data and the user input to a configured embeddings model thereby generating one or more of: a text embedding associated with the raw geoscience or energy domain data, and an image embedding associated with the raw geoscience or energy domain data; implementing, based on the applying, one or more of: a semantic search computing operation and a classification or clustering computing operation associated with a multidimensional vector space; and generating a report, based at least on the semantic search / classification / clustering computing operation.

The application discloses a kind of layer-by-layer cumulative heuristic guidance ground vehicle path planning method and system, its method includes: S1, the path planning model of containing road network map is constructed, obstacle data that influences ground vehicle driving is marked on road network map;S2, m-layer subgrid mask is constructed according to upper and lower dimensions on the road network map of path planning model, the front m-1 layer subgrid mask of road network map is executed task target in turn and front and rear layer cumulative heuristic grid route chain search;S3, path planning model uses route chain to carry out optimal path search and optimization on road network map and obtains ground vehicle driving planning path.The path planning model of the application is from macro route to fine route layer-by-layer cumulative search guidance and obtains route chain, realizes the search guidance of front and rear layer cumulative heuristic task target and obtains fine route chain by multilayer subgrid mask fast search, reduces search calculation amount and complexity, improves vehicle driving path planning efficiency.

The method belongs to the field of neural network hardware design, an instruction set without multiplication basic operation is constructed as a search space, and high-energy-consumption multiply-accumulate operation is avoided; secondly, designing an evolution search framework based on NSGA-III multi-objective optimization, and dynamically evaluating the comprehensive performance of candidate functions in the search process by taking precision, energy consumption and reliability as joint optimization objectives; then, introducing function equivalence detection and a two-stage precision threshold mechanism, accelerating search convergence and eliminating low-efficiency individuals; and finally, aiming at the forward function obtained by searching, designing a multi-dimensional evaluation method to carry out comprehensive performance quantification on the candidate function, and carrying out neural network operation by using the non-multiplication candidate function. According to the method, on the premise of keeping similar precision, energy consumption is greatly reduced, and the practical value of the neural network in high-reliability scenes such as spaceflight, military affairs and marginal medical treatment is remarkably improved.

The application relates to a distributed computing engine based on unified search and big data processing, which comprises a unified interface module, a distributed execution module and a storage management module; the unified interface module is used for receiving a computing task and performing task analysis, so that a corresponding computing engine is started according to a task type obtained through task analysis; the distributed execution module comprises a search computing engine, a graph computing engine and a stream computing engine, which are respectively used for reading and executing corresponding computing tasks; and the storage management module is used for uniformly performing data table and storage management on data corresponding to the search computing engine, the stream computing engine and the graph computing engine. The application solves the problem that the data computing engine in the prior art cannot provide parallel and efficient real-time computing for multiple types of data processing tasks to perform real-time and rapid response when facing multiple complex computing scenes.

This application discloses a method, system, and medium for optimizing baijiu (Chinese liquor) production based on a swarm intelligence optimization algorithm, relating to the field of baijiu production technology. The method includes: acquiring historical baijiu production datasets and cleaning and reconstructing them to obtain a structured modeling dataset; constructing a four-level causal cascade prediction model based on the modeling dataset; determining the prediction module in the four-level causal cascade prediction model as the objective function for multi-objective optimization; based on the objective function, using a particle swarm optimization algorithm to perform a global search within a preset process parameter space to calculate the Pareto optimal combination of process parameters, obtaining the optimized process parameter set; inputting the optimized process parameter set into the four-level causal cascade prediction model for simulation verification; if the preset yield and quality synergistic optimization objective is met, it is determined as the final recommended process parameter. This application achieves a scientific, intelligent, and inheritable upgrade of baijiu production technology.