4results about How to "Optimize overhead" patented technology

The embodiment of the invention discloses an analog-to-digital converter and an analog-to-digital conversion chip. The analog-to-digital converter comprises an input interface, a tracking type analog-to-digital conversion module, an oversampling modulator, a digital logic combination module and an output interface, the input interface is used for transmitting input signals; the oversampling modulator is used for generating an initial fine conversion bit stream according to an input signal; the tracking type analog-to-digital conversion module is used for quantizing an input signal and generating a coarse conversion digital code; the digital logic combination module is used for generating a feedback digital code according to the rough conversion digital code and the initial fine conversion bit stream; and the output interface is connected between the digital logic combination module and the oversampling modulator and is used for outputting the feedback digital code. According to the analog-to-digital converter provided by the embodiment, only one minimum clock period is needed in the rough conversion stage, the feedback digital code is generated through the digital logic combination module, the circuit principle is simple, and the performance and overhead of the analog-to-digital converter are effectively improved.

This application provides a communication method, network-side device, terminal, communication system, storage medium, and product, relating to the field of communication technology. The method includes: broadcasting first indication information, wherein the first indication information indicates the value range of a first parameter and a combination of first parameter values, the first parameter being the time slot offset between the time slot where the Downlink Control Information (DCI) is located and the time slot for the Physical Uplink Shared Channel (PUSCH) transmission, and the combination of first parameter values ​​indicating the start symbol and number of symbols for optional PUSCH transmission and the mapping type of optional PUSCH. Therefore, when broadcasting the first indication information, indicating both the value range of the first parameter and the combination of first parameter values ​​respectively, compared to indicating only the combination of the value range of the first parameter and the first parameter value, results in lower network overhead, thereby optimizing the network overhead when broadcasting a time-domain resource list.

The invention discloses a semiconductor equipment control method, an engine and an equipment control system, and relates to the technical field of control, and the method comprises the steps: reading a scene configuration file through a scene loader, and carrying out the analysis to obtain scene model data; receiving an external system message sent by a preset communication service in the semiconductor equipment through a message receiver, and analyzing the external system message to obtain a message header parameter and a message body parameter; searching a process flow matched with the message header parameter from the scene model data or the process context data through the message processor, and transmitting the process flow and the message body parameter to a process processor; and executing the logic of each component in the process flow through the process processor. According to the application, the semiconductor equipment can be controlled to realize the service function through analysis of the semiconductor equipment control engine only by providing the scene configuration file containing the relevant information of the standard execution process, the implementation efficiency of the service process of the semiconductor equipment is improved, resource occupation is reduced, and the control reliability of the semiconductor equipment is improved.

This invention provides a multi-agent traceable decision-making system and method for environmental data mining, belonging to the interdisciplinary field of artificial intelligence and environmental informatics. The system includes: a task complexity assessment module, a multi-agent conditional collaboration module, an arbitrator triggering and adjudication module, an environmental knowledge graph module, a feedback learning optimization module, and a decision tracing and visualization module. The method includes the following steps: Step 1: Task complexity assessment and collaboration mode allocation; Step 2: Parallel processing and dynamic collaboration of two intelligent analysts; Step 3: Consistency check and arbitration triggering; Step 4: Arbitrator adjudication and weight integration; Step 5: Human expert correction and weight optimization feedback; Step 6: Decision tracing and weight visualization. This invention enables more accurate decision optimization, significantly improves the professionalism and accuracy of decision-making, and possesses the ability to proactively identify and prevent potential problems.