5results about How to "Avoid parsing" patented technology

The application relates to the technical field of electronic design automation, in particular to an integrated high-performance software construction system for EDA simulation model compilation acceleration, which is characterized in that a scheduling control module, an integrated compilation thread pool and a shared memory area are placed in the same process space to save the creation and destruction time of a large number of processes in a single-process multi-thread architecture, thereby improving the construction efficiency, and the memory object pool is used to store pre-compiled module data to realize the cross-compilation task reuse of the intermediate representation of the header file. When multiple compilation tasks contain the same header file, only the first task performs parsing, and subsequent tasks directly obtain the pre-compiled result through a memory pointer, thereby avoiding repeated reading and parsing, greatly reducing the CPU computing amount and I / O overhead, and significantly improving the construction efficiency of the simulation model compilation.

The application belongs to the technical field of high polymer materials, and particularly relates to a PET-based long-acting antistatic master batch as well as a preparation method and application thereof. The application adopts HBP-IM and HOOC-PEG-COOH as comonomers, and anchors the antistatic active chain segment to the PET main chain through in-situ polycondensation reaction, so as to avoid the resolution and diffusion loss of the antistatic agent in the subsequent use or washing process. The hyperbranched structure provides sufficient free volume for the imidazole salt ion group, and cooperates with the effective passivation of trimethyl phosphate on the catalyst activity and the end capping of the carbodiimide on the carboxyl group, so as to jointly inhibit the ester exchange side reaction that may be intensified in the polycondensation process. The reaction process is precisely controlled through a stepwise reduced-pressure polycondensation program, the functionalized PET copolymer melt obtained from the polymer kettle is directly pumped into a double-screw extruder for blending and granulation in a molten state without cooling and granulation, and the hydrolysis and thermal cracking probability of the PET molecular chain in the secondary heating process is greatly reduced.

The application relates to the technical field of application development, and discloses a smart resource and color management method, device and system for a mobile application, which comprises the following steps: performing a resource enumeration definition generation operation on a target resource file to obtain a resource attribute method definition result; performing a color definition operation according to color configuration file information to obtain a color definition result; performing resource resolution and loading access operations according to demand access loading object types and target definition information and target cache sets to obtain an object access result; and performing corresponding resource comparison and cleaning operations according to resource file list information and resource reference list information. It can be seen that the application can improve the resource and color management efficiency, flexibility, accuracy and reliability of the mobile application, avoid repeated loading and resolution of resources, significantly improve resource access performance, improve the timeliness, efficiency and accuracy of cleaning of abandoned resources, and thus improve the development and operation stability and safety of the mobile application.

This invention relates to artificial intelligence technology and discloses an intelligent person-finding method, apparatus, device, and storage medium based on intent recognition. The method includes: acquiring user input voice and converting it to text to obtain a text instruction; determining whether the string length of the text instruction is greater than a preset threshold; if it is greater, segmenting the text instruction using a word segmentation tool to obtain the target person's name; if it is less than or equal to the threshold, using a pre-trained binary classification network of a person-finding intent recognition model to perform person-finding intent recognition on the text instruction, obtaining an intent recognition result; and locating the target person's name based on the intent recognition result and the name confidence recognition network in the person-finding intent recognition model; and querying public information about the target person's name. This invention can improve the accuracy of intelligent person-finding through address book by accurately identifying user intent and precise person-finding instructions.

The invention relates to the technical field of audio processing, in particular to an audio buffer area management method and system based on data volume self-adaption, and the method comprises the steps: determining a processing strategy according to the data volume of an audio buffer area, the processing strategy comprises the steps of directly executing data removal processing, judging whether to execute the data removal processing or not based on the fragment difference characterization value and not needing to execute the data removal processing; in the data removal processing, the removal data volume is determined based on the comprehensive evaluation value, and whether reduction adjustment is carried out on the removal data volume based on the key audio frame proportion is determined based on the removal influence coefficient; and determining a data removal strategy as a direct deletion strategy or an exchange strategy according to the residual data volume and the key frame data volume. The real-time processing capability of the system can be improved.