7 results about "Sequence alignment algorithm" patented technology

The invention relates to a PCBA automatic testing system and method, and relates to the technical field of PCBA automatic testing, and the system comprises a multi-source data collection module which is used for collecting chip dynamic power consumption waveform, PCB interlayer temperature gradient, and multi-source data of signal loop impedance change, and eliminating the sampling delay error of a sensor through a synchronous collection time sequence alignment algorithm; transmitting the acquired multi-source data to a dynamic modeling engine; according to the invention, by dynamically fusing the multi-physical-quantity data and adaptively generating the test path, the system can detect the fault of the PCBA more comprehensively and accurately, the detection efficiency is improved, and the false detection rate is reduced; the thermal aging and faults of the PCB are predicted by using a dynamic modeling engine, so that potential failure risks can be found in advance, and a powerful guarantee is provided for quality control of the PCB; and the test path is automatically generated according to the dynamic modeling result and the data of the fault knowledge graph, so that the workload and error of manually planning the test path are reduced.

The invention provides a financial statement intelligent standardization processing method and system, and the method comprises the steps: constructing a hierarchical standard knowledge base which comprises a standard item name reference system and a feature vector; by taking the standard knowledge base as a reference, matching an original financial statement item name with the standard item name by adopting a weighted sequence comparison algorithm to realize preliminary matching; a matching result is optimized by adopting rule matching of context awareness; and constructing a mapping relation table of the original items and the standard items, and converting the original financial statements according to the mapping relation table to finish standardized processing of the financial statements. The problems of format differences, wrongly written characters, OCR identification errors and the like of financial statement item names can be effectively solved, the matching accuracy rate reaches 95% or above, the processing efficiency is improved by 20 times, the labor cost is remarkably reduced, and reliable technical support is provided for automatic processing and analysis of financial data.

This disclosure provides a security detection method, apparatus, and device for communication protocols, comprising: obtaining the structure of the communication protocol through unsupervised learning and structural parsing based on bidirectional raw traffic data; utilizing sequence alignment algorithms to find common patterns and variable fields among packets in different protocol session streams; identifying high-frequency byte sequences that consistently appear in application layer payload data; dividing the payload of a single packet into multiple fields and inferring the semantic type of each field; and constructing a protocol syntax tree for the communication protocol; then, based on the protocol syntax tree, modeling normal communication behavior to obtain a behavioral baseline of the behavioral patterns under normal communication behavior; and performing anomaly detection on real-time traffic obtained from the communication network based on the protocol syntax tree and the behavioral baseline. Thus, without prior knowledge of the detailed protocol specifications, it can intelligently learn from communication behavior to discover potential threats, reducing the application limitations of this security detection method.

The application relates to a micro-service load balancing method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining a micro-service task, dividing the micro-service task into sub-tasks according to the number of micro-service instances in a current system, and placing all the sub-tasks in a ring form into the same batch; respectively obtaining the cumulative load of each micro-service instance in the current system and the load of each sub-task in the batch, taking the cumulative load and the load of each sub-task in the batch as two ring sequences, and aligning the two ring sequences by using a dynamic programming-based sequence alignment algorithm, so that the maximum 'load value' in all micro-service instances is minimized; based on the alignment result of the two ring sequences, each sub-task in the batch is distributed to the micro-service instances, so that the predecessor and successor relationship of the sub-task distributed to the micro-service instances remains unchanged. The application embodiment can maintain good load balancing effect, optimize resource utilization, and improve task processing efficiency.

The invention relates to the field of computer internet and cloud computing, and discloses a project dimension-based precise operation and maintenance quantification and intelligent recommendation method, which comprises the following steps of: encoding distributed link tracking data into an ordered service gene sequence, and realizing automatic identification and resource quantification of a project by using a sequence alignment algorithm. By extracting a gene mutation rate and an epigenetic modification tag, system stability and external environment constraint are dynamically sensed. On the basis, a non-cooperative game model containing performance, cost and risk agents is constructed, game rules are dynamically reconstructed based on gene characteristics, risk sensitivity and constraint strategy space are adjusted in a non-linear mode, a biological adaptability evolution mechanism is simulated, a horizontal gene transfer mechanism is introduced, and a cold start decision of a new project is optimized. And finally, an optimal operation and maintenance configuration instruction is generated by solving a Nash equilibrium point. According to the method, accurate quantification, dynamic self-adaption and risk control of operation and maintenance decisions in a complex cloud environment are effectively realized.

The invention discloses a fine-grained evaluation method for logic security of a large language model, which comprises the following steps of: aiming at an obtained dynamic test case, analyzing variable interaction influence, injecting a private instruction sequence by embedding a risk module, and determining a test case version of which the difficulty is adjusted; selecting an intermediate step sequence from the determined test case version, and calculating a deviation value with a standard reasoning path by adopting a sequence comparison algorithm to obtain a fine-grained deviation index set; according to the obtained deviation index set, the accuracy data derived in multiple steps are fused, if the deviation value exceeds a preset threshold value, the deviation value is marked as a logic bottleneck point, and a potential safety crash position is judged; quantifying a step-by-step reliability index of the reasoning process through the judged safety crash position to obtain a numerical score of the logic capability; and a safety performance subset is extracted from the obtained numerical score, clustering analysis is adopted to conclude a performance mode in a high-risk scene, and a final comprehensive evaluation report is determined.

The invention relates to the technical field of biological feature recognition and front-end security authentication, and provides a front-end implicit authentication method based on multi-dimensional operation behavior features, and the method comprises the steps: S1, carrying out the collection and modeling of multi-dimensional behavior features; s2, carrying out real-time behavior consistency verification, namely collecting real-time operation data of a user according to a preset frequency, converting the data into a feature vector, analyzing a behavior pattern of the feature vector through a time sequence model, calculating the similarity between a real-time feature sequence and a reference sequence in a behavior benchmark library by adopting a sequence comparison algorithm, and carrying out real-time behavior consistency verification; generating a quantitative similarity score, and setting an abnormal judgment condition; and S3, performing an authentication decision and dynamic response mechanism, including executing a hierarchical authentication decision according to a similarity score, matching processing strategies of different risk levels, dynamically adjusting authentication parameters and a calculation mode in combination with a user use scene, balancing authentication security and applicability, and adopting a data privacy protection measure in the whole process. And the security, the universality, the user experience and the privacy compliance are comprehensively improved.