257 results about "Coded element" patented technology

A method is provided for optimizing regression testing in a software development environment. The method includes analyzing source code to create a structural dependency graph that maps dependencies between code elements; identifying changes in the source code between a current version and a previous version; mapping the identified changes onto the structural dependency graph to determine affected code elements; selecting a subset of regression tests based on the affected code elements identified in the dependency graph; and executing the selected subset of regression tests to validate the changes in the source code.

The invention relates to an aliasing image intelligent deformation small target identification algorithm based on detector multiplexing, and relates to the technical field of aliasing image target identification, and the algorithm comprises the steps: designing a detector multiplexing optical system; designing a view field coding element, and splicing the whole system; simulating and generating a motion track of the early warning target under the space-based background; the target motion trail is imaged through a detector multiplexing optical system; aliasing video simulation of moving target imaging is carried out; an intelligent deformation small target recognition algorithm is applied to the aliasing image, and a moving target is recognized; target resolution and field-of-view positioning are realized by using the relevance between the inter-frame track of the moving target and the light spot shape. According to the aliasing image intelligent deformation small target recognition algorithm based on detector multiplexing, light originally imaged on a large-area-array detector is folded and imaged on a small-area-array detector, and therefore the purpose that the small-area-array detector receives large-view-field imaging is achieved.

Techniques for implementing an AI threat modeling tool are disclosed. A static analysis tool is used to extract a candidate code snippet from a code repository. The candidate code snippet is identified as potentially being a security relevant code element. The static analysis tool generates additional context associated with the candidate code snippet. An LLM prompt is generated. This prompt is structured to include the candidate code snippet, the context, and a directive to assign a classification to the candidate code snippet. The classification includes a source classification, a sink classification, a sanitizer classification, or a flow step classification. The LLM operates on the prompt to generate output comprising a specific classification for the candidate code snippet. The output is formatted into a data extension file that is consumable by the static analysis tool.

In some implementations, a device may obtain, via a notebook repository, one or more training notebooks that are associated with respective pipeline types of the container orchestration platform. The device may extract, from the one or more training notebooks, one or more executable code elements, to obtain one or more sets of executable code for respective training notebooks of the one or more training notebooks. The device may insert testing information into respective sets of executable code of the one or more sets of executable code to generate one or more test pipelines. The device may perform, via the container orchestration platform, one or more cluster tests using respective test pipelines from the one or more test pipelines. The device may provide, for display, result information indicating results of the one or more cluster tests.

The invention discloses a deep learning framework-oriented program slice defect positioning method, which comprises the following steps of: inputting an original failure test case causing defects, and extracting a target variation point; a variation rule oriented to a deep learning framework is designed; generating a mutation test case which is highly similar to the mutation execution path of the original failure test case and rejects an error statement; historical iteration data and the state of a current test case are comprehensively considered, the most suitable mutation operator is selected recursively, and code elements containing errors are gradually eliminated; executing the original failure test case and the mutation test case, and collecting coverage information in the execution process; and according to the collected coverage information and the passing / failure state of the suddenly changed test case, carrying out defect positioning by using a defect positioning algorithm based on a frequency spectrum, and outputting an accurate defect positioning result. According to the method, the defects in the codes in the program slices can be quickly locked and repaired, and the overall reliability of the deep learning framework is effectively improved.

The invention discloses a method capable of realizing wide-range positioning of a cable fault, a spread spectrum step frequency wave signal is obtained by performing binary phase shift keying (BPSK) and pseudorandom sequence modulation on a step frequency signal, and the method can overcome the problem that the cable fault detection range of a spread spectrum time domain reflectometry (SSTDR) is limited by code element duration. A cable fault detection device is installed at the head end of a cable, a detection signal is injected from the head end of the cable, a high-speed ADC is used for signal collection, cable fault information is obtained, and wide-range detection of cable faults is achieved.

A system and method for multi-level compaction of floating-point numbers and associated metadata within datasets. The system identifies floating-point numbers and their associated metadata, pre-encodes numbers into binary string representations, and encodes metadata into compact binary form. These encoded elements are linked together and indexed to indicate they represent floating-point numbers with metadata. The dataset is organized into multiple compaction levels based on semantic relationships between metadata elements. The system creates specialized indices for metadata-based retrieval, maintains relationship maps, and implements inheritance policies across hierarchical levels. During retrieval, the system reconstructs both the original floating-point values and their associated metadata, preserving hierarchical relationships. This approach enables more intelligent data organization, richer contextual information preservation, and more powerful query capabilities while maintaining efficient floating-point compaction.

The invention relates to a method, a device, equipment and a product for updating source codes. The method includes generating a page structure tree based on source code, page structure nodes in the page structure tree corresponding to code elements in the source code, and the page structure nodes including tracking information for tracking positions of the code elements in the source code. The method further includes obtaining adjustments by the user to user interface elements corresponding to the page structure nodes through the user interface. In addition, the method includes updating a code element in the source code based on the adjustment and the trace information in the page structure node.

The invention discloses a code analysis method and device, electronic equipment and a computer program product. The method relates to the field of artificial intelligence, and comprises the following steps: analyzing a source code to be analyzed to obtain an abstract syntax tree of the source code; running the source code, and collecting running data of the source code through a preset monitoring point; constructing an initial graph based on the abstract syntax tree and the operation data; inputting the source code into the target model to obtain a hidden dependency relationship among code elements in the source code; the directed edge in the initial map is corrected based on the hidden dependency relationship, a target map of the source code is obtained, and the target map is used for representing the circulation path and the dependency relationship between the code elements. By means of the method and device, the problem that in the related technology, omission possibly exists due to the fact that code blood relationship analysis is only conducted through static analysis, and consequently the analysis result is inaccurate is solved.

An assert statement generator employs a neural transformer model with attention to generate candidate assert statements for a unit test method that tests a focal method. The neural transformer model is pre-trained with source code programs and natural language text and fine-tuned with test-assert triplets. A test-assert triplet includes a source code snippet that includes: (1) a unit test method with an assert placeholder; (2) the focal method; and (3) a corresponding assert statement. In this manner, the neural transformer model is trained to learn the semantics and statistical properties of a natural language, the syntax of a programming language, and the relationships between the code elements of the programming language and the syntax of an assert statement.

Techniques for visual software development are disclosed, including: (a) generating, by a visual code editor, (1) a data model of a plurality of code elements in a set of source code and (2) a kernel for execution of the set of source code; (b) based on a subset of the set of source code, the data model, and the kernel, generating an adjustable graphical user interface (GUI) form control; (c) presenting the adjustable GUI form control in alignment with the set of source code in a GUI of the visual code editor; and (d) responsive to user input in the GUI to adjust the adjustable GUI form control: (1) modifying the subset of source code and the data model according to the user input; (2) updating the presentation of the set of source code in the GUI to reflect the modified subset of source code; and (3) executing the modified set of source code, thereby updating variable values within the kernel.

Embodiments of the present disclosure provide a code text processing method, a code supplementing method, and a computing device. The code text processing method comprises: obtaining a code text to be processed of a target project; parsing the code text to be processed, so as to obtain first code metadata of code elements, wherein each code element has corresponding element information; determining target query information on the basis of the element information of each code element; searching a target database for second code metadata corresponding to the target query information, wherein the target database records a correspondence between reference query information and reference code metadata, and the reference query information is constructed on the basis of the element information of each code element in a project file of the target project; and on the basis of the first code metadata and the second code metadata, using a code generation model to generate a target code text. A clear code reference relation is used to perform inquiry to obtain an effective reference code so as to guide code generation, thereby obtaining a high-accuracy target code text, and improving the code text processing accuracy.

Techniques for implementing an AI threat modeling tool are disclosed. A static analysis tool is used to extract a candidate code snippet from a code repository. The candidate code snippet is identified as potentially being a security relevant code element. The static analysis tool generates additional context associated with the candidate code snippet. An LLM prompt is generated. This prompt is structured to include the candidate code snippet, the context, and a directive to assign a classification to the candidate code snippet. The classification includes a source classification, a sink classification, a sanitizer classification, or a flow step classification. The LLM operates on the prompt to generate output comprising a specific classification for the candidate code snippet. The output is formatted into a data extension file that is consumable by the static analysis tool.

The invention discloses a multipath time delay calculation method for an evaporation waveguide and scattering mixed channel under different distances, and the method comprises the steps: determining the length of a propagation path in an evaporation waveguide channel according to the radius of the earth and a central angle corresponding to the arc length of the propagation path in the evaporation waveguide channel; determining the propagation path length in the troposphere scattering channel according to the positions of the scatterer, the transmitting antenna and the receiving antenna; according to the propagation path length in the evaporation waveguide channel, the propagation path length in the troposphere scattering channel, the propagation speed of the electric wave and the channel time delay of the troposphere scattering channel, determining the multipath time delay of the evaporation waveguide and troposphere scattering mixed channel under different communication distances; and setting a code element interval of radio wave communication according to the multipath time delay, so that the radio wave communication adapts to switching of communication modes. According to the method, the multipath time delay of the evaporation waveguide and troposphere scattering mixed channel can be quickly calculated; code element intervals of radio wave communication are set according to multipath time delay, inter-symbol interference is avoided, and the bit error rate is reduced.

The invention relates to the technical field of liquid phase chips, in particular to an autoantibody spectrum detection platform based on a liquid phase chip technology, and the method comprises the following steps: preparation and functionalization of quantum dot encoding microspheres; the core-shell structure quantum dots are used as coding elements, and fluorescence coding combination of more than 1000 is realized by regulating and controlling the size, 3-10nm, Mn < 2 + > doping and spatial distribution of the quantum dots. The method has the advantages of super multi-target detection, super sensitivity, strong anti-interference capability and intelligent analysis, in the actual process, the core-shell structure quantum dots are adopted as coding elements, more than 1000 fluorescent coding combinations are realized by regulating and controlling the size, doping and spatial distribution of the quantum dots, high-density coding is realized by utilizing three-parameter coding and an orthogonal decoupling algorithm, and the method is suitable for large-scale industrial production. More types of autoantibodies can be detected at the same time, so that the detection flux is improved; the surfaces of the quantum dots are coated with silicon dioxide layers, and the fluorescence intensity is attenuated by lt under continuous laser irradiation; and the stability of a fluorescence signal in the detection process is ensured.

The invention relates to a Manchester coded signal decoding method and a Manchester coded signal decoding system, and belongs to the field of electronic information, communication and power system automation. A plurality of clocks with the same frequency and different phases are generated according to Manchester encoding signals, the clocks are used for sampling the signals, a phase-shifting clock sampling method is used, dependence on a high-frequency clock is reduced, most interference in communication signals is determined to be eliminated according to a majority voting strategy for sampling results, and the accuracy of the signals is improved. And the seriously distorted signals are corrected according to special value enumeration, so that the interference of signal duty ratio distortion and burrs is reduced, and the decoding reliability is further improved. And finally, determining an original data stream of the signal according to the two level states of each code element. The method is used for decoding high-speed and ultra-high-speed Manchester encoding signals under the conditions of no high-frequency clock, poor data signal quality or unstable clock, and simultaneously realizing self-adaptive communication of different encoding formats.

A set of insights pertaining to a target code element is determined, at least partially, based on data derived from a live production environment. A subset of insights are selected. The selection excludes at least one insight. The subset of insights is displayed to a developer within an Integrated Development Environment (IDE) in a location adjacent the target code element. After determining a local context in the IDE to be the target code element, presenting, in a non-code pane within the IDE, the set of insights. In response to a user instruction, automatically generating a prompt for a generative Artificial Intelligence (AI) model. The generation is performed based on the at least one insight. The generative AI model is invoked with the prompt.

The invention discloses a wireless ranging method and system based on a programmable logic architecture, and belongs to the technical field of indoor positioning, and the method comprises the following steps: receiving an original data frame of a processing module, adding a synchronization frame header and a synchronization frame tail, then carrying out linear frequency modulation spread spectrum coding to form a ranging request frame, recording the sending time, and sending the ranging request frame to a target receiving end; after a ranging response frame is received, a decoded data frame is generated through decoding processing such as time domain filtering and peak detection, coherent accumulation is carried out by taking a first target code element as a reference, a target array is extracted, interpolation refining is carried out to obtain a fine time component, and the arrival time is obtained through multipath elimination. According to the method, main signal energy is enhanced through coherent accumulation, multi-path interference is suppressed in combination with interpolation refinement and time domain filtering, the time measurement precision is improved, and software and hardware cooperative efficient distance measurement is realized.

The invention provides a decoding device and method. The method is suitable for the condition that periodic repeated code elements exist in original information code elements. The method comprises the steps that scrambled information code elements k0, k1, k2,..., kt-1, kt,..., km-1 with the length of m, the initial state M (0) of a long code generator and a state transition matrix B are received; constructing auxiliary data k0 ', k1', k2 ',..., k' 82 according to the scrambled information code elements k0, k1, k2,..., kt-1, kt,..., km-1; wherein ki '= ki + kt-1 + i, and i = 0, 1,..., 82; according to the auxiliary data k0 ', k1', k2 ',..., k' 82, the initial state M (0) and the state transition matrix B, a 42 * 42 full-rank matrix D is obtained through calculation; wherein the first behavior of the D is CBn, and then a scrambling code # imgabs0 # with the length of m is obtained through sequential analysis, the scrambling code obtained through analysis and scrambled information code elements k0, k1, k2,..., km-1 are subjected to modulo 2 addition operation, and an original information code element with the length of m is obtained.

The invention provides a vulnerability detection method, electronic equipment, a storage medium and a computer program product, and relates to the technical field of computers. The method comprises the following steps: acquiring a code semantic map of a to-be-detected item; performing test analysis on the to-be-detected item to obtain a vulnerability detection path of the to-be-detected item; and sending a vulnerability detection request to the large language model. And if missing element information returned by the large language model for the vulnerability detection request is received, matching nodes in the code semantic map based on the missing element information. And for each code element in the missing element information, determining a target node from the matched node based on the semantic association degree between the node matched with the code element and the vulnerability detection path, thereby sending a new vulnerability detection request to the large language model. By implementing the method and the device, the code context information can be accurately provided when the big language model is adopted for vulnerability detection, and the vulnerability detection accuracy is improved.

Disclosed in the present application are a method, apparatus and system for three-dimensional reconstruction. The method includes: acquiring a first image and a second image, wherein the first image and the second image are respectively obtained by means of different image collection devices collecting a predetermined code element image projected onto the surface of an object to be measured; acquiring a first target pixel point of each code element in the first image, and determining, in the second image, a matched pixel point for the first target pixel point of each code element in the first image; and determining the three-dimensional coordinates of the first target pixel point at least according to the predetermined pixel point coordinates of the first target pixel point in the first image and the predetermined pixel point coordinates of the matched pixel point in the second image, so as to complete three-dimensional reconstruction.

The invention relates to the technical field of navigation signal analysis, in particular to a QPSK (Quadrature Phase Shift Keying) non-cooperative navigation signal analysis method and a QPSK non-cooperative navigation signal analysis system for multi-domain feature joint estimation. Traversing phases in the phase sequence in sequence, and obtaining an energy threshold value in combination with the center frequency estimation value of the current section; performing iterative analysis on the frequency and the phase to obtain estimated values of the frequency and the phase; obtaining a complex baseband signal through the estimated values of the frequency and the phase; judging whether IQ code crossing occurs or not according to a cross-correlation relationship between the complex baseband signal and a local code stream sequence, and if the code crossing occurs, performing adjustment to obtain a corrected I-path baseband signal and a corrected Q-path baseband signal; adjusting the length of a chip through a code rate so as to reconstruct a code element sequence and obtain I-path and Q-path pure code element sequences; and taking the I-path and Q-path pure code element sequences as analysis results of the non-cooperative navigation signals. According to the invention, the accuracy of analyzing the non-cooperative navigation signal is improved.

The invention discloses a self-interference suppression method based on MVDR joint coordinate return-to-zero, and the method comprises the steps: receiving signal data through each array element, and carrying out the estimation of the direction of arrival of a desired signal through a DOA algorithm; processing the signal data by using an MVDR beam forming algorithm based on the desired signal direction of arrival; mapping the residual error signal data after array processing into a Walsh domain, and taking any code element as information for processing; the method comprises the following steps: performing amplitude truncation on a signal in a Walsh domain, suppressing a relatively strong self-interference component, and returning to a time domain through inverse mapping, judging whether to perform amplitude truncation operation by utilizing a relationship between a signal after Walsh domain transformation and a defined threshold value, when the signal in the Walsh domain is greater than or equal to the defined threshold value, truncating the strong self-interference component in the signal in the Walsh domain, and performing zero setting, so that the self-interference component in the signal in the Walsh domain is suppressed. According to the method, efficient target signal extraction and interference suppression under the condition that the target direction is unknown are realized, and the overall suppression depth is improved.

The invention discloses an evaporation waveguide and scattering channel multipath time delay calculation method under different elevation angles, and the method comprises the steps: determining the length of a propagation path in an evaporation waveguide channel according to the radius of the earth and a central angle corresponding to the arc length of the propagation path in the evaporation waveguide channel; obtaining the propagation path length of the electric wave in the troposphere scattering channel according to the included angle between the connecting lines of the transmitting antenna and the circle center, the elevation angle of the transmitting antenna and the receiving antenna, the included angle between the connecting lines of the electric wave receiving antenna and the circle center, and the elevation angle of the transmitting antenna and the receiving antenna; then calculating to obtain the multipath time delay of the mixed channel; and setting a code element interval of radio wave communication according to the multipath time delay, so that the radio wave communication adapts to switching of communication modes. According to the calculation expression of the multipath time delay of the mixed channel, which is obtained by the invention, the multipath time delay of the evaporation waveguide and troposphere scattering mixed channel can be quickly calculated; code element intervals of radio wave communication are set according to multipath time delay, inter-symbol interference is avoided, and the bit error rate is reduced.

The invention provides a continuous wave mud pulse code modulation method, device and equipment and a storage medium, and belongs to the technical field of oil and gas drilling. The method comprises the following steps: encoding detected target acquisition information into a multi-system code element; two code elements are taken as a group to form a code element group, and the code element group controls the rotating speed of a rotor together to form a modulated pressure wave signal for determining a phase delay degree and a phase switching position corresponding to the phase delay degree; wherein the phase switching position is a time period when the corresponding phase delay degree occurs in a modulation period of the code element group to the pressure wave signal. According to the invention, on the premise of not additionally occupying frequency band resources, the transmission information amount is doubled, so that the signal transmission rate based on the continuous wave mud pulse is doubled, and the defect of low transmission rate in the traditional code modulation mode for the continuous wave mud pulse is overcome.

Embodiments of the present disclosure include techniques for enabling software code for different languages. In one embodiment, a user creates a prompt. The prompt may be to generate new code or modify existing code. The prompt may be automatically modified to include one or more instructions to extract code elements from source code and the code elements may be translated. In some embodiments, translation services are incorporated into and IDE or build environment as a plugin.

The invention provides a material data vectorization coding and index matching method and system, and the method comprises the steps: coding elements contained in each material into a plurality of integer fields through employing the characteristic that the number of chemical elements is limited, and constructing a B + tree index for each field in a database; meanwhile, a target element set in the retrieval stage is coded into integer vectors, materials containing specific element sets are quickly retrieved in a multi-integer-field matching mode, multi-dimensional feature coding representation is conducted on material data, multi-dimensional retrieval of the material data is met, material information is fully utilized to establish an all-around efficient retrieval mechanism, and the retrieval efficiency is improved. The matched material data can be accurately and quickly retrieved, and the accuracy of material data identification and the consistency of coding are improved.

The invention relates to the technical field of computers, and provides a code analysis detection method and system based on a large language model. The method comprises the following steps: deploying an analysis engine on a code detection platform, analyzing a code snippet programming normal form, and constructing a structure chart based on a code element and a context relationship; defining a detection direction according to the structure chart, and introducing gating constraints under multi-layer progressive detection; and based on the detection direction and gating constraint, performing directional distillation on the large language model, performing analysis detection in combination with the structure diagram and the code snippets, and determining a detection result. According to the method and the device, the technical problem of frequent leak detection and false alarm caused by the fact that code context and multi-level detection dimensions cannot be fully considered when code snippets are processed by a traditional code analysis method is solved, and the aim of improving the detection accuracy of the code snippets by introducing directional distillation processing based on a large language model and a gating constraint mechanism is achieved. Potential vulnerabilities and optimization points in the codes are accurately identified, and the accuracy and efficiency of code detection are improved.