42results about How to "Improve resource efficiency" patented technology

The invention discloses an agent task scheduling planning method, and relates to the technical field of agent scheduling. The method comprises the steps of analyzing a task instruction to generate atomic tasks capable of being independently executed, constructing a subtask dependency graph, and defining association constraints between the tasks; determining the real-time resource occupancy state of the intelligent agent to obtain a resource state tensor, completing resource-task association anchoring and dependency priority ranking in combination with the sub-task dependency graph, and generating a task priority sequence with resource constraint; performing dynamic capability matching and predictive load balancing calculation on the sequence through a task-agent adaptation model, and determining a target execution agent of each atomic task; and based on the target execution agent and the subtask dependency graph, performing time sequence scheduling arrangement and conflict resolution, and generating a collaborative execution scheme. The method improves the reasonability and efficiency of agent task scheduling, reduces resource conflicts and execution timeout risks, and is suitable for agent cluster collaborative scheduling in a complex scene.

The application provides a communication control method and device, computer equipment and a computer readable storage medium, and belongs to the technical field of computers. The method comprises the following steps: receiving and analyzing an event subscription request sent by a service server, determining at least one subscription event and at least one subscription data indicated by the event subscription request; sending a data transmission instruction to the service server according to each subscription event; and in response to receiving confirmation information sent by the service server, sending each subscription data corresponding to each subscription event to the service server. The application can improve the resource utilization rate and efficiency during server communication.

This invention belongs to the field of hard carbon technology, specifically relating to a bamboo-based and lignin-based hard carbon composite material, its preparation method, and its applications. The process involves pretreating raw materials to obtain pretreated material; pretreating the pretreated material with an acidic oxidant to obtain acidic oxidant pretreated material; pre-oxidizing the acidic oxidant pretreated material to obtain pre-oxidized material; pre-carbonizing the pre-oxidized material under a protective atmosphere to obtain pre-carbonized material; pulverizing the pre-carbonized material to obtain pulverized material; acid washing followed by water washing to obtain purified material; soaking the purified material in acid, filtering, and drying to obtain soaked material; mixing the soaked material with a modifier, and high-temperature coating and carbonizing under a protective atmosphere to obtain bamboo-based coated hard carbon or lignin-based coated hard carbon. Mixing the two types of hard carbon and carbon coating yields a bamboo-based and lignin-based hard carbon composite material, which is used in negative electrode sheets and batteries. When applied to batteries, the hard carbon composite material of this invention can improve battery energy density.

This invention discloses a large-scale model defense method based on semantic logic. By employing semantic logic analysis and model learning techniques, it systematically identifies and blocks the confusion effect of bias, thereby reducing the impact of bias in pre-training data on the guidance process. It includes an interpretable component that provides insight into the alignment between the generated output and the desired direction, enhancing the interpretability of the guidance process, increasing model transparency and user trust. This method may reduce reliance on manual annotation and computational resources, thus improving resource efficiency. Through unbiased guidance representation, it improves the model's generalization ability across different tasks and domains, contrasting with the limited generalization capabilities of existing technologies, exhibiting high scalability and adaptability. It can be applied to different language models, providing in-depth understanding of the consistency between the generated output and the desired direction, thereby enhancing the interpretability of the steering process while mitigating the impact of bias.

The present application belongs to the technical field of resource allocation, and particularly relates to a space resource dynamic allocation method based on an AI model and BIM operation and maintenance, comprising: obtaining a to-be-processed task and a spatial position identifier thereof, and constructing a task feature vector set; inputting the task feature vector set into a modal recognition network model to obtain a plurality of primary scheduling modes containing spatial coupling components and resource demand components through mapping; iteratively updating coupling weights between the primary scheduling modes and high-level scheduling modes until convergence, determining a current resource allocation mode based on the converged high-level scheduling modes, and determining the association strength of each task relative to the current resource allocation mode based on the coupling weights; generating a scheduling instruction set containing joint scheduling paths and independent scheduling instructions according to the association strength and in combination with the spatial position identifier, and converting the scheduling instruction set into executable control instructions; and the present application realizes fine and adaptive dynamic resource allocation based on BIM and real-time situation.

A terminal according to one embodiment of the present disclosure is provided with: a control unit that determines a specific antenna port orthogonal to a first antenna port used for receiving a physical downlink control channel (PDCCH) of a plurality of layers; and a reception unit that assumes that the specific antenna port is not associated with a physical downlink shared channel (PDSCH) and a PDCCH facing a specific other terminal, and that receives the PDCCH of the plurality of layers. According to one mode of the disclosure, the resource efficiency can be improved.

A terminal according to one embodiment of the present disclosure is provided with: a reception unit that receives first downlink control information (DCI) based on a sequence without using a demodulation reference signal (DMRS); and a control unit that, on the basis of the first DCI, controls reception of a second DCI using a DMRS. According to one mode of the disclosure, the resource efficiency can be improved.

The application relates to a digital wave trap, a digital low-pass filter and a design method, a medium and an electronic device. The digital wave trap comprises a wave limit boundary anchoring unit and a wave limit zero point modulation unit which are cascaded in sequence, the wave limit boundary anchoring unit adopts a cascaded integral comb filter structure and is used for generating a first attenuation zero point at a boundary frequency of a target wave trap frequency band; the wave limit zero point modulation unit adopts a finite-length unit impulse response filter structure and is used for generating at least one second attenuation zero point in the target wave trap frequency band; and a continuous suppression band for the target wave trap frequency band is formed in the amplitude-frequency response of an output signal of the wave limit zero point modulation unit by the first attenuation zero point and the at least one second attenuation zero point. By using the digital wave trap provided by the application, a digital low-pass filter which can deeply and widely suppress power frequency interference and maintain strict linear phase and excellent low-pass characteristics can be designed without significantly increasing hardware resources and power consumption.

The application discloses a kind of flight platform cluster's track planning method and device, the method includes: collection obtains task demand information set and flight platform cluster technical index information set;The task demand information set includes the execution position and demand information of each to be executed task;The demand information includes demand task type information and the demand value of all technical indexes;The flight platform cluster technical index information set includes the execution task type information, position information and technical index value set of each flight platform;The technical index value set includes several technical index values;The task demand information set and flight platform cluster technical index information set are preprocessed, and obtain preprocessed information set;The preprocessed information set is subjected to track planning processing, and obtains the track set of flight platform cluster.

The invention discloses an auto-regression and mask diffusion double-normal-form fusion language model hardware acceleration system based on an FPGA (Field Programmable Gate Array), and relates to the field of FPGA and machine learning. The invention provides a model core calculation process-oriented hardware acceleration architecture by aiming at a language model fusing double normal forms of an autoregression model and a mask diffusion model and adopting the characteristics of revising an attention mechanism and parallel generation of a KV cache. The method disclosed by the invention is implemented by taking an Eso-LMs (Esolic Language Models) model as an example. The system comprises a layer normalization and adaptive layer normalization modulation module, a QKV projection module, a rotation position coding application module, a KV cache management module, a multi-head attention calculation module, an output projection and residual connection module and a multi-layer perceptron module. By optimizing the calculation sequence and the data flow of each module in the model calculation process and adopting the pipeline parallel and resource reuse technology, the efficient reasoning acceleration of the language model fusing the autoregression and mask diffusion double normal forms on the FPGA platform is realized, and the model reasoning speed is obviously improved. According to the system, the advantage of FPGA customizable hardware acceleration is fully exerted, the utilization efficiency of hardware resources is improved, data pipeline blockage is eliminated, calculation delay and storage overhead are reduced by reconstructing the data flow direction and constructing a whole-process pipeline processing architecture, and the system is suitable for the deployment requirement of an edge calculation scene.

This invention provides a method for preparing hydrogen and sulfur from solid waste gypsum through reduction and acidification in a cement kiln, relating to the field of solid waste disposal technology. The method involves targeted local modifications to a novel dry-process cement clinker rotary kiln production system. Using desulfurized gypsum, phosphogypsum, and other solid waste gypsum as raw materials, the gypsum is crushed, ground, preheated, and dehydrated. Then, it is calcined in a modified three-lobe gravity semi-suspended rotary kiln at 800–1100℃ in a reducing atmosphere to generate high-purity calcium sulfide. After sealed cooling, the calcium sulfide reacts with byproduct hydrochloric acid to produce high-purity hydrogen sulfide. The hydrogen sulfide is then used to co-produce hydrogen and sulfur via a medium-assisted electrochemical decomposition method, or high-purity sulfur can be directly prepared using the Claus process. This invention achieves full resource utilization of solid waste gypsum using existing cement kiln equipment, requires minimal modification, has low investment costs, and enables the cascade utilization of CO waste gas and kiln waste heat, reducing overall energy consumption by more than 30% compared to traditional processes.

The invention discloses a construction method for filling a roadbed with bagged broken solidified soil, and relates to the technical field of road engineering and dredged sludge solidification resource utilization. According to the construction method, through the technological process of solidification, crushing, screening, bagging and layered filling, the overall solidified soil which is large in size, prone to cracking and poor in gradation is converted into gradation artificial aggregate with the controllable particle size and the good compaction degree, and the gradation artificial aggregate is used for roadbed filling in a bagged unit mode. Compared with a traditional in-situ overall curing or fluid curing method, the method has the advantages that the grading and compaction performance of the cured soil can be remarkably improved, and the roadbed filler structure is more uniform and controllable; the stability and durability of the curing material are improved through lateral restraint and water control and air permeability of the bag body, and the risks of cracking and water damage are reduced. The method is simple and convenient in construction process, can be combined with field machinery to realize continuous operation, and is beneficial to in-situ resource utilization of a large amount of dredged sludge and popularization and application of road foundation engineering.

The invention provides a communication system signal accurate scheduling method and device. The method comprises the steps that configuration parameters including a load indication coding sequence, exclusive orthogonal resource configuration and time sequence relation parameters are determined; based on the configuration parameters, when the terminal has to-be-transmitted data, determining a target load size according to a pre-configured load size value set, generating a corresponding load indication signal, and sending the load indication signal through an orthogonal resource allocated to the load indication signal; the network side receives and analyzes the load indication signal to obtain a target load size, and generates and issues uplink precise authorization containing matched transmission resource parameters according to the target load size; and the terminal executes uplink data transmission according to the authorization. According to the invention, through a mechanism of'short load indication + precise authorization ', a multi-round signaling interaction and base station first decoding process in traditional dynamic scheduling is eliminated, the power consumption and transmission delay of the terminal are remarkably reduced, the uplink resource utilization rate is improved, and the method is particularly suitable for low-power-consumption and low-delay scenes such as the Internet of Things and industrial control.

The application relates to the technical field of satellite communication, and discloses a transmission resource scheduling method, equipment and a program product, wherein the method comprises the following steps: obtaining one or more target transmission requests, the target transmission requests coming from different target equipment; determining a scheduling control coefficient of each target transmission request, and constructing a transmission request sequence based on the scheduling control coefficient, wherein the scheduling control coefficient comprises a load saturation coefficient and a forwarding priority coefficient; obtaining a channel quality parameter corresponding to each target transmission channel, determining an available waveform set of the target transmission channel according to the channel quality parameter, and determining a target transmission waveform of the target transmission request in the available waveform set; for any target transmission request in the transmission request sequence, allocating a time slot resource to the target transmission request according to the target transmission waveform, and distributing the allocation result to the corresponding target equipment. The technical scheme provided by the application can improve resource efficiency, fairness of resource allocation and reliability of transmission.

The application discloses a Bluetooth earphone dynamic teaming method and system based on Auracast protocol, and belongs to the technical field of wireless communication and audio processing. The method comprises the following steps: embedding a scene semantic label in a broadcast assistant signal by a broadcasting device; collecting self context information by a listening device, calculating a matching weight with each broadcast source through a recommendation decision engine, and realizing intelligent sorting, filtering or automatic joining of a broadcast group. The broadcasting device supports creating a dynamic hierarchical broadcast group with role permissions, time-limited access codes and multiple audio sub-streams. In the overlapping coverage area, the listening device triggers intelligent switching based on signal quality and context matching degree, and realizes seamless connection by using pre-synchronization technology. In addition, the system synchronizes group state information through an auxiliary channel to realize state visualization and interaction. The application upgrades Auracast broadcast from "manual, static and equal" to "automatic, dynamic and intelligent", greatly improving the convenience, management accuracy and immersion experience in the multi-user audio sharing scene.

The present application relates to the technical field of optical fiber sensing, and discloses an anti-aliasing filtering method and device for a distributed optical fiber acoustic sensing system, which dynamically adjusts the cut-off frequency and type of the anti-aliasing filter by analyzing the frequency band characteristics of environmental noise in real time, and combines frequency band energy detection to close invalid sampling channels, thereby significantly suppressing aliasing noise and reducing data volume. A device fault feature library matching mechanism is further introduced to trigger an emergency anti-aliasing mode when a sudden fault noise occurs, thereby improving fault detection accuracy. The method can be widely applied to oil and gas pipeline monitoring, industrial equipment health diagnosis and other fields, and solves the performance bottleneck of traditional fixed filters under wide frequency dynamic noise.

The invention provides a self-adaptive signal processing method and system for a semiconductor gas sensor, and relates to the technical field of signal processing. An electric signal of a gas sensor is collected; performing multi-dimensional analysis on the signal sequence, including calculating a short-term and long-term fluctuation ratio of the signal sequence to evaluate signal quality, calculating an instantaneous change rate, detecting a trend starting point and identifying a noise type to obtain at least one analysis parameter; dynamically adjusting the average sampling times N of signal smoothing and / or switching a signal processing mode according to the analysis parameters; and finally, processing and outputting a signal based on the adjusted strategy. The corresponding system comprises a signal acquisition module, an analysis module, a decision-making module and a processing module. The contradiction between the signal-to-noise ratio and the response speed can be intelligently balanced, the noise is deeply suppressed in the stable period, the response is quick in the sudden change period, and the accuracy and reliability of gas detection are effectively improved.

The invention discloses a Shenwei platform-based schemart scheduling mechanism method, which comprises the following steps of: analyzing the architecture and operation principle of a schemart programmable scheduling framework so as to define a core mechanism of a dynamic loading and replacement scheduling strategy of the schemart programmable scheduling framework; the technical characteristics of an existing scheduling mechanism of the SW platform are analyzed, and the feasibility of fusion of the SW platform and the SW platform is determined by combining the advantages of schemart in the aspects of strategy flexibility and expansibility; kernel adaptation and interface implementation of schemart on the SW platform are carried out, and deployment and function support of the programmable scheduling framework on the target architecture are completed; and through systematic testing and multi-level function verification, the performance of the scheduling mechanism in typical load and extreme scenes is evaluated. According to the method, the programmable capability of the user state scheduler capable of being customized is provided, and the resource utilization rate and the task execution efficiency of the SW platform in a complex calculation scene are improved.

A terminal according to one embodiment of the present disclosure is provided with: a reception unit that receives a demodulation reference signal (DMRS) that is mapped using a frequency-domain orthogonal cover code (FD-OCC), a time-domain OCC (TD-OCC), a frequency-domain and time-domain OCC, frequency division multiplexing (FDM), or time division multiplexing (TDM), and that uses a physical downlink control channel (PDCCH) of a plurality of layers; and a control unit that controls the reception of the PDCCH on the basis of the DMRS. According to one mode of the disclosure, the resource efficiency can be improved.

The invention provides a game prize pool expectation regression testing method and device, electronic equipment and a storage medium, and relates to the technical field of regression testing. The method comprises the following steps: receiving a Taiyte-level production data flow of a game prize pool, and labeling according to a business risk level, an access frequency and a historical defect rate in a partitioned manner; based on a preset four-dimensional weight formula, calculating a sampling weight of each partition data stream, and performing differential sampling by using a dynamic sampling probe; the KL divergence of the current weight distribution and the target weight distribution is calculated by taking a preset time window as a unit, and if the KL divergence exceeds an alarm threshold value, a weight drift root cause is positioned through LIME sensitive path analysis and call chain tracking; calculating a weight deviation compensation value through a PID (Proportion Integration Differentiation) controller, and adjusting the sampling weight in real time; long-tail scene coverage is enhanced based on a GAN model and a traffic playback amplification technology; and carrying out KS test and quantile anchoring on the test data to verify the weight distribution consistency. A long-tail scene is fully covered, and a verification-drift-correction closed loop is realized.

The present application relates to sewage multi-stage treatment technical field, specifically to a kind of multi-stage deodorization purification equipment for urban and rural sewage treatment, including air flotation treatment pool and waste residue pool, the waste residue pool is fixed on the outer lateral wall of air flotation treatment pool, the air flotation treatment pool includes water tank, the inner chamber bottom of water tank is provided with sludge discharge structure, the inner top of water tank is provided with skimming structure, skimming structure includes two symmetric slidingly arranged sealing sliding plate in the inner wall of water tank, the linkage of servo motor, half gear one, half gear two and other components is realized in the present application, sludge collecting pipe, sludge collecting plate accurate mud collection and annular cleaning cotton automatic brush wash skimming pipe are realized, cooperate with electric push rod one, electric push rod two flexible position sludge discharge, through inclined tube sedimentation tank, sand filter tank multi-stage purification, deodorization and impurity removal effect is good, also can prevent blockage, reduce water loss, waste residue is sealed and discharged into waste residue pool without secondary pollution, adapt to urban and rural sewage treatment, operation and maintenance are convenient and energy saving and environment friendly.

The invention belongs to the technical field of building materials, and discloses low-carbon low-shrinkage lightweight concrete prepared on the basis of multi-source industrial solid wastes and a preparation method of the low-carbon low-shrinkage lightweight concrete. The low-carbon low-shrinkage lightweight concrete prepared on the basis of the multi-source industrial solid wastes is prepared from the following raw materials in parts by weight: 250 to 640 parts of cement, 150 to 250 parts of silica fume, 190 to 210 parts of fly ash microspheres, 260 to 650 parts of phosphorus slag, 1100 to 1300 parts of quartz sand, 10 to 15 parts of a de-foaming agent, 12 to 20 parts of a water reducing agent, 200 to 300 parts of water and 120 to 200 parts of fibers. According to the low-carbon low-shrinkage lightweight concrete prepared on the basis of the multi-source industrial solid waste, the synergistic utilization efficiency of the multi-source industrial solid waste can be remarkably improved, and high-value conversion of solid waste recycling is promoted; the comprehensive performance of low carbon, light weight and high strength can be considered, and the multiple performance requirements of modern structural materials are met.

The invention belongs to the technical field of Internet of Vehicles federated learning, and particularly relates to an alliance-based Internet of Vehicles federated learning method, system and device. The method comprises the following steps: firstly, converting convergence local model parameters uploaded by each vehicle into proportion vectors representing local data category distribution by using a small-scale balance auxiliary data set at a base station side; the distribution similarity among the vehicles is measured based on the divergence, the vehicles with similar distribution are clustered to form a plurality of alliances in a self-adaptive manner through a preset divergence threshold, and the number of the alliances does not need to be preset; and finally, vehicles in each alliance cooperatively train an exclusive alliance model. According to the method, the problem of model generalization under data isomerism is effectively solved, the prediction precision and convergence speed of each vehicle end model are remarkably improved while the privacy of the original data is guaranteed, and the method is suitable for an Internet of Vehicles environment.

The invention provides an ecological industrial park solid waste collaborative resource treatment system, and relates to the technical field of solid waste treatment, the ecological industrial park solid waste collaborative resource treatment system comprises a cross-subject collaborative architecture, an intelligent scheduling module and a full-chain resource path unit, the cross-subject collaborative architecture is a three-level architecture of center overall planning, node execution and cross-region linkage, comprising a park-level collaborative center, a plurality of enterprise end processing nodes and a cross-park linkage interface. According to the invention, by constructing a three-level cross-subject collaborative architecture of the park-level collaborative center, the enterprise-side disposal node and the cross-park linkage interface, the administrative and technical barriers between the park and the enterprises are broken, and scattered enterprise solid waste disposal demands and disposal capabilities are integrated into a uniform resource pool; accurate allocation and complementary utilization of solid waste in different enterprises and different parks are achieved, the problem that solid waste accumulation of a single enterprise is difficult to treat is solved, and resource waste caused by repeated construction of disposal facilities of multiple enterprises is avoided.

The application relates to a heterogeneous cluster resource allocation method and a storage medium, wherein the heterogeneous cluster resource allocation method comprises the following steps: obtaining the computing performance parameters and the communication performance parameters of each computing node, constructing a resource allocation model with the target of minimizing the single training iteration time, and obtaining the target data allocation amount capable of covering the communication time of each computing node based on the resource allocation model. Through the application, the problems of resource idling, waiting for synchronization and the "barrel effect" caused by the mismatch between the computing capacity and the network bandwidth in the heterogeneous cluster under the parameter server architecture are solved, the communication cost is completely hidden in the computing process under the premise that the total training data amount is unchanged, and the overall resource utilization and the distributed training efficiency of the heterogeneous cluster are significantly improved.

A method of resuming a connection in a UE and a corresponding UE are disclosed. The method comprises sending an RRC resume request to a network node to initiate an RRC connection resume procedure, starting a timer for the RRC connection resume procedure, wherein expiry of the timer stops the RRC connection resume procedure for the UE, and stopping the timer upon one of: the UE receiving a suspend message, and the UE receiving a release message.

The invention provides a bidirectional collaborative linkage method of a process version and a maintenance process and a related device, which improve the overall adaptability, resource efficiency and compliance level of a production system, and the method comprises the following steps: establishing a process-maintenance association mapping library; identifying a current process version change type of the MES system by adopting a process change analysis algorithm improved based on BERT, and updating related data of the process-maintenance association mapping library by matching a corresponding differential synchronization strategy based on a new process version change type; constructing a three-dimensional simulation production environment and a three-dimensional verification index system, and performing simulation verification closed-loop optimization on the maintenance process in the process-maintenance association mapping library based on the three-dimensional simulation production environment and the three-dimensional verification index system until verification is passed; a multi-dimensional maintenance priority weighting algorithm is constructed and based on the multi-dimensional maintenance priority weighting algorithm, sorting and intelligent resource allocation are carried out on a plurality of maintenance requirements of the current production environment; and recording production log data generated in the process of executing the steps by adopting a block chain, and carrying out formatted storage on the production log data.

The application provides a joint training method and device of a calculation model, equipment and a medium, relates to the technical field of model training, and comprises the following steps: obtaining operator characteristics of each operator in a to-be-trained calculation model and device attributes of different types of heterogeneous devices in each node; selecting a test node from each node according to a configured screening rule; performing cross-node computing power testing on different types of heterogeneous devices in the test node to generate a cross-node computing power testing result of the test node; generating a cross-node computing power testing result between other nodes except the test node according to the device attributes of different types of heterogeneous devices in each node and the cross-node computing power testing result of the test node; and distributing a plurality of operators to each heterogeneous device according to the operator characteristics of each operator, the cross-node computing power testing result of each node and the device attributes of different types of heterogeneous devices in each node. The application can improve the resource utilization and model training efficiency of the calculation model training process.

The drilling device for the automobile chassis production comprises an operation table, a groove is formed in the position, close to the left side, of the top of the operation table, a containing plate is connected to the position, close to the left side, of the top of the operation table through bolts, and positioning plates are arranged on the left side and the right side of the containing plate respectively. The sides, away from each other, of the two positioning plates are connected with electric push rods through bolts correspondingly, the bottoms of the electric push rods are connected to the top of the operation table through bolts, and the position, close to the right side, of the rear side of the operation table is slidably connected with a frame. According to the technical scheme, through mutual cooperation of the rotating plate, the connecting rod, the mounting table, the limiting rod, the electric jack and other components, effective position movement is carried out while rotating drilling is carried out, so that clamping of a drilling rod of the drilling machine is not likely to be caused, drilling can be effectively carried out, meanwhile, secondary position adjustment can be carried out, and the drilling efficiency is improved. Therefore, the drilling machine can adapt to drilling with different depths, and the application range and the use efficiency of the drilling machine are improved.

This invention relates to the field of audio transmission technology, and discloses a gateway-based wireless audio transmission method, system, device, and medium. The method is used in a gateway device and includes: the gateway device and a first audio source device performing bidirectional audio transmission via a first communication link to send a first audio stream to the first audio source device and receive a second audio stream from the first audio source device; the gateway device and an audio device performing bidirectional audio transmission via a second communication link to send a third audio stream to the audio device and receive a fourth audio stream from the audio device; when bidirectional audio transmission with the first audio source device and bidirectional audio transmission with the audio device coexist: the link clock of the first communication link is the same as or synchronized with the link clock of the second communication link; the first communication link and the second communication link are time-division multiplexed and at least share some time slot resources. This invention can support simultaneous wireless audio transmission from two audio sources.