7results about How to "Implement Performance Evaluation" patented technology

This invention discloses a fully passive jammer and a fully passive jamming method for channel knowledge map scenarios. The jammer includes: a data acquisition module for generating a multi-state channel dataset by traversing and controlling the configuration of a reconfigurable smart metasurface and performing channel simulation; a map construction module for constructing a channel path map based on channel state information; a beamforming parameter determination module for determining fixed hybrid precoding parameters based on the channel path map in an interference-free reference scenario; and a performance evaluation module for reusing the fixed precoding parameters and calculating the communication rate based on the real channel state in a dynamic scenario with disco-type reconfigurable smart metasurface interference, thereby quantifying performance loss. This invention transforms dynamic interference into an analyzable channel sequence through multiple simulation sampling, separates beam selection from rate evaluation, objectively quantifies mismatch penalties, and provides a standardized evaluation platform for countermeasure research on disco-type reconfigurable smart metasurfaces.

The application discloses a test method for an indirect jump table solving process of a binary disassembler, uses SCsmith to automatically and efficiently construct a large C file data set which can generate a jump table, further constructs a binary test set under different optimization levels through an Oracle GT compiler to track a compiling process, compares a result of solving the indirect jump table by the disassembler with a correct result, evaluates a performance of an indirect jump table solving algorithm of the disassembler, and points out a position of error occurrence. Meanwhile, since a test case corresponds to the indirect jump, the position of error occurrence can be easily pointed out. The test set constructed by the application has more effective jump tables and greater density, and can be automatically constructed, so that the test efficiency is greatly improved. The application can be used for performance evaluation of the disassembler, can help the disassembler to find defects and improve performance, and has wide application prospects.

The invention relates to a passivation efficacy test method, device and system, computer equipment and a storage medium, and the method comprises the steps: carrying out the dark-state volt-ampere test of a perovskite photovoltaic cell, obtaining the volt-ampere characteristic parameters, carrying out the fitting analysis through combining with the volt-ampere characteristic parameters, obtaining the diffusion current and generated current of the perovskite photovoltaic cell in a reverse bias state, and obtaining the passivation efficacy of the perovskite photovoltaic cell. Finally, the diffusion current and the generated current are combined for analysis and calculation, and passivation efficiency parameters representing the passivation efficiency of the perovskite photovoltaic cell in the current state can be obtained. Through the scheme, the passivation potency parameter of the perovskite photovoltaic cell can be analyzed and calculated by adopting a simple volt-ampere test mode without a complex algorithm, that is, the performance evaluation of the passivation material of the perovskite photovoltaic cell is realized, the evaluation algorithm is simple, and the calculation cost is greatly reduced.

The application discloses a kind of unmanned aerial vehicle wave measuring system reliability test platform of dual-mode wave simulation, comprising: water tank type wave simulation system, wind making system, support and reversing system, column type wave simulation system and test environmental parameter acquisition system;Water tank type wave simulation system is used to simulate the wave condition of small wave height range required by unmanned aerial vehicle wave measurement, column type wave simulation system is used to simulate the wave condition of large wave height range, by support and reversing system, the wind field of wind making system can be selectively adjusted to act on the first test area above water tank type wave simulation system or act on the second test area above column type wave simulation system.The test platform can safely, economically and controllably simulate sea state conditions, effectively and comprehensively cover the wave height range of target sea state, and can collect wave true value data and unmanned aerial vehicle wave measurement data to complete the quantitative verification of unmanned aerial vehicle wave measurement system reliability.

This application provides a generalized verification and evaluation method and platform for fault prediction and health management. The method includes: S1, constructing an evaluation index system based on requirements and industry standards; S2, constructing a fault model based on fault mechanisms and data-driven approaches, and generating a fault simulation mathematical model; S3, using the fault simulation mathematical model to generate simulated fault data, which, together with normal working data and actual operating condition data, constitutes the original dataset; S4, designing and generating test case templates based on the evaluation index system and actual requirements, and adapting the test cases; S5, adjusting the original dataset according to the test cases to generate a verification data stream; S6, inputting the verification data stream into the algorithm or prototype for functional verification; S7, analyzing the verification process and results based on the evaluation index system, and generating an evaluation report and charts. This solution can achieve comprehensive, reliable, and efficient verification and evaluation of fault prediction and health management algorithms and prototypes.

The application provides a satellite map environment perception-based GNSS positioning quality evaluation and high-precision positioning method and system, the satellite positioning quality is predicted through a satellite map environment perception model; and an environment perception factor and a multi-dimensional fused EDOP-M index are introduced as the priori theoretical evaluation of the ambiguity solution of the current satellite geometry configuration; and the optimal satellite subset is screened through the multi-constraint comprehensive score of the inner group quantity, the geometry configuration and the signal quality; if the EDOP-M index of the optimal satellite subset meets the requirements, the optimal satellite subset is used to perform RTK solution again, and the solution output is used as the positioning result at the current time, otherwise the multi-source fused inertial navigation result is used as the positioning result at the current time. The satellite map environment perception model is used to realize the positioning signal quality discrimination under different complex environments, and the application improves the robustness, stability and adaptive processing capacity of positioning under the conditions of multipath and complex shielding.

The invention provides a gymnasium steel structure performance evaluation method and system based on multi-modal data fusion, and relates to the technical field of steel structure analysis, and the method comprises the steps: obtaining strain response time sequence data and temperature time sequence data of a key part of a gymnasium steel structure in a plurality of historical time periods; constructing and training a double-layer long-short-term memory network based on the strain response time sequence data and the temperature time sequence data to predict the strain response data of the key part at the future moment, obtaining the strain response time sequence data and the temperature time sequence data of the key part of the gymnasium steel structure in the current time period, and obtaining the strain response time sequence data of the key part of the gymnasium steel structure through the double-layer long-short-term memory network. The strain response data of the key parts at the future moment are predicted, the strain response data of the key parts at the next sampling moment are compared with a preset threshold value, and the performance of the steel structure is divided into excellent performance, qualified performance and unqualified performance based on the comparison result.