380 results about "Coded element" patented technology

The invention relates to the technical field of software development, and particularly provides a self-adaptive code annotation updating method and system, a terminal and a storage medium, and the method comprises the following steps: confirming that codes are updated, extracting an updated code set, and combining and constructing an abstract syntax tree for the codes; performing semantic analysis on the abstract syntax tree by using a deep learning model to generate a semantic vector, and constructing a program dependency graph based on the semantic vector; analyzing a dependency relationship among code elements in the program dependency graph by utilizing a graph neural network; and generating a code annotation based on the semantic vector and the dependency relationship between the code elements by using a natural language generation model. According to the method, the real-time performance and the accuracy of the code document are ensured, the readability and the maintainability of the code are greatly improved, and the maintenance cost is reduced.

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.

The invention relates to a regression testing method and system, computer equipment and a storage medium, and the method comprises the steps: obtaining a code change record, and carrying out the data preprocessing of the code change record; feature extraction is carried out on the code change records after data preprocessing, change features are obtained, and the change features at least comprise code elements and element relations; analyzing the change features and each basic test case in a test case library by using a risk identification model, and determining a regression risk level of each basic test case; determining a regression test case, wherein the regression test case comprises a basic test case of which the regression risk level is greater than or equal to a preset level threshold; and executing a regression test according to the regression test case. According to the invention, the test efficiency of code change records can be improved, and functional modules with relatively high regression risks are covered as much as possible.

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.

Techniques for visual software development are disclosed, including: generating, by a visual code editor, a data model of code elements in a set of source code; based on the data model, generating an adjustable graphical user interface (GUI) control corresponding to a subset of the set of source code; presenting the adjustable GUI control in a GUI of the visual code editor; and responsive to user input in the GUI to adjust the adjustable GUI control, modifying the set of source code according to the user input and executing the modified set of source code.

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.

Eye and hand tracking systems in head-mounted display (HMD) devices are arranged with lensless camera systems using optical masks as encoding elements that apply convolutions to optical images of body parts (e.g., eyes or hands) of HMD device users. The convolved body images are scrambled or coded representations that are captured by a sensor in the system, but are not human-recognizable. A machine learning system such as a neural network is configured to extract body features directly from the coded representation without performance of deconvolutions conventionally utilized to reconstruct the original body images in human-recognizable form. The extracted body features are utilized by the respective eye or hand tracking systems to output relevant tracking data for the user's eyes or hands which may be utilized by the HMD device to support various applications and user experiences. The lensless camera and machine learning system are jointly optimizable on an end-to-end basis.

The invention provides a code knowledge graph generation method and device, a code generation method and device, equipment and a medium, and relates to the field of data processing, in particular to the technical field of intelligent search, man-machine interaction, artificial intelligence and large models. According to the specific implementation scheme, the method comprises the steps that a code tree is obtained, wherein the code tree comprises first code elements and the structural relation between the first code elements; wherein the code tree is generated by performing content analysis on a source code; generating first map node information according to the first code element; according to the structural relationship, generating first map edge information between the corresponding map nodes; and generating a code knowledge graph according to the first graph node information and the first graph edge information. According to the embodiment of the invention, the integrity of the knowledge graph can be improved, the storage capacity and the data processing capacity of the knowledge graph are reduced, and the knowledge graph construction efficiency is improved.

The invention discloses a beam focusing optimization method based on dense connection expansion self-coding element learning, and relates to the technical field of super-large-scale IRS assistance, and the method comprises the following steps: S1, analyzing a super-large-scale intelligent reflector-assisted multi-user communication system, and obtaining a problem optimization formula; s2, constructing a beam focusing optimization algorithm network based on dense connection expansion self-coding element learning according to a problem optimization formula, and taking a matrix form of a phase shift matrix and a precoding matrix as the input of the beam focusing optimization algorithm network based on dense connection expansion self-coding element learning, and obtaining an optimized pre-coding matrix and an optimized phase shift matrix, and obtaining the maximum spectrum efficiency value of the super-large scale intelligent reflector assisted near field communication system according to the optimized pre-coding matrix and the optimized phase shift matrix. According to the invention, the spectrum efficiency of the system can be improved and the processing overhead of high-dimensional signals can be reduced.

The embodiment of the invention provides a code generation method based on a code graph. The code generation method comprises the steps that a first problem text for codes in a code warehouse is received; according to the first problem text, correlation retrieval is carried out in a pre-constructed code graph, a first context sub-graph is determined, and the code graph comprises nodes representing code elements in the code warehouse and directed edges representing code relations between the nodes. And performing graph representation processing on the first context sub-graph to obtain mapping representation of each node mapped to a large language model embedding space. And in an embedded layer of the large language model, encoding the first problem text to obtain text representation. And in a reasoning layer of the large language model, performing target reasoning based on the mapping representation and the text representation to obtain a target code text for the first problem text.

The invention relates to the field of underwater sound control, in particular to a differential spread spectrum underwater sound remote control method resistant to channel interference and Doppler. The invention provides a differential spread spectrum signal processing method based on an underwater sound remote control system, and provides a set of multipath interference resisting method combining peak searching and deconvolution aiming at a multipath effect. Aiming at the influence of noise and Doppler, a differential spread spectrum signal in a code element difference mode is used as a response signal of the UUV, a double-pulse method is firstly used for Doppler coarse compensation during resolving, and then an orthogonal receiver is used for orthogonal demodulation to obtain two paths of signals; finally, coefficients containing residual Doppler and sampling errors can be offset as much as possible in a differential solution link in a differential conjugate multiplication mode. A simulation result shows that compared with a traditional method, the anti-noise and anti-multipath capability is high, and when the relative movement speed between the UUV and the water surface mother ship is small, the bit error rate is lower.

At least one embodiment of the present disclosure provides a data processing method, a memory controller, and a storage system. The data processing method includes: reading four burst data from a single storage channel; organizing the four burst data into a group of error correction codewords, wherein a group of error correction codewords includes k read-back data codewords and m read-back check codewords, and the total bit width of the m read-back check codewords is eight times the bit width of a codeword; and performing a decoding operation based on a group of error correction codewords to obtain a post-error correction codeword. The data processing method can realize simultaneous error correction of, for example, two or more codewords or symbols by reading four burst data from a single storage channel through a single ECC operation.

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 single-photon laser ranging method based on laser pulse frequency modulation deblurring, and belongs to the field of laser ranging. In the ranging process, two different pulse frequency references are firstly set to correspond to two coding code elements respectively, n-bit random codes are generated according to n-time non-fuzzy distance expansion requirements, it is guaranteed that the n-bit random codes do not have displacement symmetry, then a laser source is made to repeatedly emit corresponding pulse signals according to a sequence represented by the random codes, then echo signal sequences are received, and the pulse frequency references correspond to the two coding code elements respectively. And performing cross-correlation operation on the single photon accumulation histogram and a pulse sequence represented by a known random code to obtain an operation result, determining one of the single photon accumulation histograms with the maximum amplitude, and calculating a histogram time position corresponding to the result, namely, calculating a distance measurement result of de-blurring. According to the method, the problem of range ambiguity of pulse radar ranging can be solved, the time sliding sequence matching method proposed in cross-correlation operation has the advantages of being efficient and flexible, and the time complexity of cross-correlation operation is effectively reduced.

The invention relates to the technical field of communication, and particularly provides a terminal signal, a signal processing method and device, a passive tag and a product. The terminal signal provided by the invention is obtained by encoding a first code element and a second code element; wherein the length of the first code element is the same as that of the second code element; the code pattern of the first code element is a full high level; the code pattern of the second code element comprises at least one low level and a plurality of high levels. The two code elements provided by the invention at least only comprise one low level, the proportion of the high level is higher, and the terminal signal provided by the invention can provide longer charging duration for the terminal under the condition of ensuring that the terminal receives the same signal, thereby effectively ensuring that the terminal can obtain enough working electric quantity.

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 present invention relates to a modular connector for connecting to a mating connector, comprising: a housing (20) with a plurality of cup-shaped slots (21), wherein the slots (21) are each defined by a surrounding wall arrangement (22), at least one plug-in module (7) which is arranged in a slot (21) and which is configured to receive, in particular in a captive manner, at least one plug-in element (12), preferably a plurality of plug-in elements, and a mechanical coding device (4) which is formed between each slot (21) and each inserted plug-in module (7) in order to provide a defined assignment between the plug-in module (7) and the slot (21), wherein the mechanical coding device (4) comprises a first coding element (41) and a second coding element (42) complementary to the first coding element (41).wherein the first coding element (41) is arranged at the cup-shaped slot (21) and the second coding element (42) is arranged at the plug-in module (7), and wherein each first and complementary second coding element (41, 42) is configured differently and / or is arranged at a different position at the slot (21).

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 embodiment of the invention provides a data processing method and device, electronic equipment and a computer readable storage medium, and the data processing method comprises the steps: carrying out the decoding operation of M groups of error correction code words, and obtaining corresponding M groups of syndromes, where M is an integer greater than or equal to 1; and in response to the existence of correctable errors in the M groups of error correction code words, encoding the target information of the M groups of syndromes to obtain encoded syndromes, the encoded syndromes representing error physical positions and error degrees of error code elements in the M groups of error correction code words. According to the data processing method, on the premise of limited storage resources, more correctable errors can be reported, and the utilization rate of the storage resources is increased.

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.