42 results about "Signal Sensitivity" patented technology

The invention relates to the technical field of nondestructive testing, in particular to an online detection system based on an eddy current technology and a detection method thereof, and the system comprises an array eddy current sensor module, a signal processing module, a data acquisition module, an algorithm processing system module, a control system module, a display module, a power supply module and a storage module. Through the effects of the array eddy current sensor module, the signal processing module and the control system module, the system has the advantages of good sensitivity and high display result precision; the problems that according to an existing on-line detection system, due to the fact that an eddy current sensor achieves displacement measurement by converting impedance changes of an inductive probe into voltage or current changes, the impedance output characteristics of the inductive probe are affected by environment temperature, an excitation source, a detected object and the like, the performance and signal transmission of the sensor in all aspects are affected, and displacement measurement is influenced are solved. Therefore, the signal sensitivity and the display result precision are reduced.

The invention discloses a high-precision wide-range expiration detection device and method, which is applied to the technical field of expiration detection, and comprises an expiration sampling unit used for collecting an expiration sample; the gas analysis unit consists of a three-way valve, an analysis pump, an electrochemical sensor module and a filter; the control and calculation unit is used for controlling the three-way valve to perform quick switching of closing and opening according to the size of the real-time output signal when the ratio of the output signal to the saturation signal is greater than a preset threshold value, so that the expiration sample is mixed with the zero-point gas filtered by the filter before entering the electrochemical sensor module; the gas concentration in the expiration sample is calculated according to the proportion of the output signal, the sensitivity and the closing time of the three-way valve; the double clinical requirements for high precision and wide range of expiration detection are met.

The invention relates to the technical field of power system automation, and particularly discloses a power network fault early warning method based on a large model, and the method comprises the steps: directly mapping the data of a high-frequency power sensor into a time sequence soft prompt vector which can be understood by the large model through a lightweight encoder and a linear projection technology; deep alignment of continuous signals and discrete semantics is realized, and information loss and efficiency bottleneck caused by numerical textualization are avoided. And then, directionally retrieving an operation and maintenance knowledge base by using the soft prompt vector, introducing a cross-modal affinity matrix to construct a semantic gating mechanism, dynamically screening and enhancing retrieved key knowledge fragments according to real-time waveform characteristics, and automatically inhibiting redundant text noise irrelevant to the current working condition. And finally, deep attention interaction and reasoning are performed on a composite sequence formed by an instruction, enhanced knowledge and soft prompt through a large model, a control signal containing fault classification and disposal suggestions is output, and real-time accurate early warning considering high-frequency signal sensitivity and expert knowledge logicality is realized.

The application relates to the technical field of intelligent traffic control, and discloses a traffic signal lamp strategy dynamic regulation and control method based on space-time dimensions. The method captures multi-dimensional feature data of traffic flow, fuses weather and road topological information, constructs a dynamic traffic state tensor, carries out multi-scale space-time feature extraction on the tensor, generates a space-time mode atlas, analyzes the interaction strength between different traffic units based on the atlas through a graph neural network, divides a cooperative evolution area and a conflict frequent area, outputs a regional interaction label set, integrates signal lamp historical data and real-time delay, calculates a sensitivity coefficient of flow fluctuation on signal timing, forms a signal sensitivity analysis report, extracts conflict frequent area nodes with sensitivity exceeding an adaptive threshold, constructs a key interference node set, combines the space-time features of the set, uses a risk propagation model to evaluate a chain reaction probability, and generates a traffic signal optimization scheme containing a signal parameter optimization strategy and an emergency regulation and control instruction.

The application discloses a remote medical interactive method based on virtual reality, and particularly relates to the field of remote medical interaction, and comprises the following steps: through synchronous acquisition of patient end multi-modal tactile data and transmission state parameters, a joint feature vector is established, and transmission delay of each modal tactile signal is predicted in real time. Through real-time image extraction of the doctor end, the operation stage and the tactile signal sensitivity index are extracted, the reward value is calculated by combining the double-branch regression network, the mode transmission strategy is updated, and a dynamic priority allocation matrix is generated; based on the matrix, the real-time network state and the delay prediction are combined, the bandwidth slice strategy is optimized, and signal compensation is performed; in addition, the operation instrument switching and pathological mutation are detected, the priority allocation is dynamically adjusted, and efficient transmission and operation feedback of the tactile signal are ensured.

This application provides a radio frequency (RF) system and electronic equipment. The RF system includes an RF transceiver module, an RF front-end module, at least one antenna radiator, and at least one first low-noise amplifier module. The RF front-end module includes at least one transmit path and at least one receive path. One end of the transmit path is electrically connected to the RF transceiver module, and one end of the receive path is electrically connected to the RF transceiver module. The first low-noise amplifier module is connected between the antenna radiator and the receive path. When the first low-noise amplifier module is in a first operating state, it is conductive between the antenna radiator and the receive path. When the first low-noise amplifier module is in a first bypass state, it is short-circuited between the antenna radiator and the receive path. In the first operating state, by placing the first low-noise amplifier module close to the antenna radiator, the noise figure is reduced, and the signal sensitivity of the receive path is improved.

The invention provides a skeleton structure and a shell structure of a three-coil induction type oil chip sensor. The skeleton structure comprises a skeleton body and a shell body, the framework body is provided with a plurality of wiring channels, and the wiring channels are symmetrically distributed on the framework body and used for copper wires to penetrate out and be connected to an electric connector when the copper wires are wound. The shell body is provided with a fixed wire path matched with the wiring channel of the framework body, one end of the fixed wire path corresponds to the wiring channel of the framework body, and the other end of the fixed wire path is communicated to the wiring bin and used for fixing the wire wiring path to prevent the wire from passing through the induction area. And the wiring bin is used for connecting the lead which penetrates out with the sensor excitation circuit and the signal processing circuit through an aviation plug. According to the sensor, the plurality of wiring channels are formed in the framework and the shell, and the copper wire winding process is more tidy and symmetrical through the reasonable winding design, so that the signal quality of the sensor is effectively improved, and the signal sensitivity and stability are improved.

The utility model provides a high-gain high-sensitivity photon wireless signal transmitting and receiving shared device. The high-gain high-sensitivity photon wireless signal transmitting and receiving shared device comprises a metal shell, a silicon lens, a PCB circuit board, an optical fiber module, a PIN-PD integrated antenna chip, a planar antenna, a horn antenna and the like, wherein the silicon lens, the PCB circuit board, the optical fiber module, the PIN-PD integrated antenna chip and the planar antenna are fixed in the metal shell; the high-gain high-sensitivity photon wireless signal transmitting and receiving common device provided by the embodiment of the utility model not only can be used as a photon wireless signal receiving device, but also can be used as a photon wireless signal transmitting device; in addition, the photon wireless signal transmitting and receiving sharing device provided by the embodiment of the utility model can achieve the effects of improving the signal transmitting power and improving the signal receiving sensitivity. In addition, the purpose of continuously adjusting the transmitting frequency can be achieved.

The invention relates to a working electrode for detecting tetrahydrothiophene, a preparation method and an electrochemical sensor, and belongs to the technical field of electrochemical sensors. The preparation method of the working electrode for detecting tetrahydrothiophene comprises the following steps: mixing a metal catalyst, a conductive agent and a solvent, then adding a dispersant and a binder, mixing to obtain slurry, mixing the slurry with a diluent to obtain a suspension, spraying the suspension to a waterproof breathable film, drying, and pressing to obtain the working electrode. The signal sensitivity of the working electrode prepared by adopting the ultrasonic spraying method is higher than that of the working electrode prepared by adopting a silk-screen printing mode, the signal noise is low, the electrochemical sensor is more stable during working, a fluctuation signal of a base line is not easy to generate, and a false alarm is not generated.

The invention discloses a new energy motor shaft detection device which comprises a positioning mechanism, a driving mechanism and a detection mechanism. The positioning mechanism is used for fixing a to-be-tested motor shaft, and the driving mechanism drives the motor shaft to rotate. The detection mechanism comprises a signal transmitting assembly and a signal receiving assembly. One end of a signal lever of the signal transmitting assembly is provided with a signal transmitting unit, the other end is a contact end in contact with the shaft surface, and the lever structure amplifies infinitesimal displacement of the contact end into angular deflection of the transmitting unit. A receiving tube of the signal receiving assembly is internally provided with a multi-corner signal transmission channel, and each corner is provided with a signal receiving and reflecting unit with a reflecting layer and a sensor. When a defect exists on the surface of the shaft, displacement of the contact end causes change of the angle of the emitted light beam, so that the light beam is off-target in the channel, and signals received by one or more sensors are changed. Continuous deformation is converted into discrete optical path signals, and the method is high in sensitivity, visual in judgment, high in interference resistance and suitable for online rapid detection and sorting.

The invention discloses a near-bit electromagnetic wave receiving structure based on a modular magnetic core antenna array, and belongs to the technical field of coal mine drilling measurement while drilling. Comprising a drill collar, a modular antenna unit and a signal processing circuit, an annular mounting groove is formed in the outer wall of the drill collar, and the multiple modular antenna units are distributed in the annular mounting groove in a circular array mode to jointly form a distributed receiving antenna array; and the signal processing circuit is arranged in the drill collar, is connected with the distributed receiving antenna array through a main interface, and is used for carrying out amplification, synthesis and noise suppression processing on array signals, so that the received signal-to-noise ratio is improved. The antenna is decomposed into a plurality of independent modular antenna units which are distributed in the annular mounting groove of the drill collar in a circular array mode, distributed array receiving is achieved, the units can be rapidly replaced, assembling is convenient, signal sensitivity is high, and the antenna is suitable for drilling of complex coal seams.

The invention provides a wireless receiving control circuit and signal transmission equipment. The wireless receiving control circuit comprises a signal amplification unit and a second resistor, the signal amplification unit is used for acquiring a wireless input signal, and a first resistor is arranged on the signal amplification unit; in a remote transmission state, the second resistor and the first resistor are connected in parallel, so that the signal amplification unit outputs a first amplification signal; in a short-range transmission state, the second resistor is disconnected with the first resistor, so that the signal amplification unit outputs a second amplification signal; the signal value of the first amplified signal is greater than that of the second amplified signal; by adjusting whether the second resistor is connected to the first resistor or not, the signal amplification unit outputs the first amplification signal and the second amplification signal with different signal values, the sensitivity of the output signal of the wireless receiving control circuit can be adjusted, signal transmission in different scenes can be adapted, and the signal transmission efficiency is improved. Therefore, the signal interference disorder is reduced.

The invention provides a preparation method of a monolithic MEMS pressure chip, and the method comprises the steps: preparing an N + buried layer and a shallow-cavity groove-shaped structure on top silicon of an SOI silicon wafer, bonding the SOI silicon wafer and a double-parabolic silicon wafer together, preparing a dielectric isolation structure, a collector region, a base region, a first injection region and a second injection region on the double-parabolic silicon wafer, arranging an emitter region on the base region, and arranging a second injection region on the emitter region. And sputtering metal leads correspondingly matched with the second injection region, the collector region, the base region and the emitter region, and upwards corroding the bottom of the double-parabolic silicon wafer to form a cavity. The preparation scheme provided by the invention has the advantages of clear steps, strong operability, batch manufacturing, high integration level, high signal sensitivity, high structural strength, easiness in sensor integration and the like.

This application discloses a bone conduction sensor and an electronic device. The bone conduction sensor includes: a first carrier plate with an electrical connector disposed on its lower surface, the electrical connector being configured to connect to an external device; a second carrier plate disposed above the first carrier plate, forming a vibration cavity together with the first carrier plate; a housing disposed above the second carrier plate, forming a microphone cavity together with the second carrier plate; a vibration system disposed within the vibration cavity; and a microphone assembly disposed within the microphone cavity. The bone conduction sensor of this application has a vibration system closer to the vibration source, enabling better sensing of vibration signals and higher sensitivity. Furthermore, the vibration system is disposed within the vibration cavity formed by the first and second carrier plates, allowing these components to be integrated into a subsystem, thereby simplifying the manufacturing process and improving reliability.

The invention discloses a shot blasting mass flow high-precision on-line monitoring device and a monitoring method thereof.The device comprises double spiral electrodes and double annular electrodes which are coaxially installed, the double annular electrodes are arranged in the axial direction of a pipeline at intervals, and the particle flow speed is calculated through a cross-correlation algorithm; the double-helix electrode adopts a coaxial reverse winding structure, and the RMS value of the particle charge quantity is obtained through signal summation and average processing, so that the shot blasting concentration is inverted. According to the invention, the time domain cross-correlation speed measurement of the annular electrode and the signal amplitude statistical measurement concentration of the spiral electrode are creatively combined, and the influence of the environment humidity is compensated through the dynamic calibration model, so that the high-precision online measurement of the shot blasting mass flow is realized. Besides, the coaxial winding design of the spiral electrodes avoids monitoring errors caused by non-uniform distribution of particles in the pipeline, signal sensitivity is enhanced, the embedded humidity sensor provides real-time environment compensation, and the device is suitable for high-speed industrial shot blasting monitoring.

This invention discloses a method and system for calculating the sensitivity of an electromagnetic environment monitoring system based on link configuration in low-temperature environments, belonging to the field of electromagnetic environment monitoring technology. The method includes: determining the monitoring scenario and link configuration of the electromagnetic environment monitoring system, and selecting a calculation method based on the determined monitoring scenario and link configuration; collecting parameters of each component of the electromagnetic environment monitoring system; if the monitoring scenario is an extreme environment, determining the correction coefficient kt corresponding to the ambient temperature and the actual operating temperature of each component of the electromagnetic environment monitoring system; and calculating the sensitivity of the electromagnetic environment monitoring system using the selected calculation method, the component parameters, the correction coefficient kt, and the actual operating temperature. This invention solves the problem that existing calculation methods do not distinguish between signal sensitivity and noise sensitivity calculation scenarios, leading to insufficient monitoring accuracy in special fields.

The embodiment of the application provides a communication system, a communication method and a computer storage medium, the communication system comprises at least two millimeter wave communication units, one of the millimeter wave communication units is a reference millimeter wave communication unit, a frequency synchronization channel is established between the reference millimeter wave communication unit and each of the other millimeter wave communication units, and the reference millimeter wave communication unit transmits a reference frequency to each of the other millimeter wave communication units through the frequency synchronization channel; each of the millimeter wave communication units demodulates the received millimeter wave signal through a corresponding radio frequency module based on the reference frequency, so that the frequency difference intermodulation caused by the reverse leakage is eliminated, the situation that the received millimeter wave signal cannot be correctly demodulated due to the frequency difference intermodulation is avoided, and then the signal frequency stability is improved, and the received signal sensitivity is improved.

The present invention belongs to the technical field of coal mining crack measurement, and specifically discloses a coal mining crack dynamic measurement and monitoring system, which includes a crack signal acquisition module, a crack signal processing module, a crack risk determination module, and a monitoring adjustment feedback terminal. By adopting a distributed high-frequency acoustic emission sensor array and combining a rupture event trigger threshold with time-domain / frequency-domain feature extraction technology, the present invention can capture the tiny energy release signals of rock burst precursors in real time, breaking through the limitation of traditional microseismic monitoring's insufficient sensitivity to tiny signals. By dynamically adjusting the frequency band division weights through wavelet packet decomposition technology, the present invention can effectively distinguish between noise and true crack expansion signals, preventing the tiny energy features from being submerged. At the same time, by dynamically adjusting the sampling frequency, sensor activation ratio, and data transmission frequency, the present invention ensures the integrity and real-time nature of the crack expansion signal, thus making up for the shortcomings of the traditional single data source.

The utility model discloses a charge amplifier with high resolution and sensitivity setting. The charge amplifier comprises a charge conversion circuit, a high-pass filter circuit and a sensitivity setting circuit which are connected in sequence. The charge conversion circuit converts charge signals output by the piezoelectric sensor into voltage signals, the high-pass filter filters out low-frequency drift signals existing in the signals, and the sensitivity setting circuit comprises two digital potentiometers and an operational amplifier. The single-chip microcomputer controls the two digital potentiometers to set the resistance values of the digital potentiometers so as to realize matching of the piezoelectric sensors with different sensitivities. According to the utility model, the sensitivity setting is more accurate, the problem that the amplification factor of the sensitivity setting circuit cannot be accurately matched with the sensitivity of the piezoelectric sensor is solved, the sensitivity setting range of the charge amplifier is improved, and the charge amplifier can be matched with the piezoelectric sensor with lower sensitivity and the piezoelectric sensor with higher sensitivity; therefore, the charge amplifier has better universality, and the cost is greatly saved.

The application relates to the technical field of intelligent robot skin, in particular to a matrix type film pressure sensor array structure for robot skin, which comprises a flexible silica gel base body, a 32*32 film pressure sensor unit array, a partitioned analog-digital conversion module, an FPGA and an embedded MCU, and three types of local feedback execution units. The structure enhances signal sensitivity through thickness gradient design, realizes tactile recognition and multi-modal feedback closed loop in combination with a local neural network, supports magnetic attraction splicing and modular expansion. The application can realize high-density tactile perception, low-delay response and vision-independent human-machine safety interaction.

A slot antenna configuration is described for a wireless device. The wireless device includes a plurality of electronic components for sending and receiving signals to and from other devices. The antenna configuration is specifically designed to minimize radio-frequency desensitization resulting from electromagnetic interference generated by the plurality of electronic components within the wireless device. The antenna configuration has a primary slot comprising a plurality of linear slot sections, a ground plane, and a conductive metal trace. The antenna slot is configured to send and receive signals in a selected frequency range common among wireless devices. The antenna configuration significantly increases sensitivity to signals while maintaining performance in other areas.

The application discloses a dynamic sealing sample cell for a laser ablation system, which comprises a sample cell, a sample cell shell, a collection cup, an air inlet, an air outlet, a sample support and a sample cell base; the air inlet and the air outlet are arranged on the sample cell shell, and the sample support is arranged on the sample cell base; the collection cup is connected with the air outlet and fixed in the interior of the sample cell shell; the sample cell shell is a cover shell with an open lower end, the upper surface of the sample cell base is a smooth plane, and the lower end of the sample cell shell and the upper surface of the sample cell base are in slidable sealing contact. In addition to the sample, the collection cup and the small sample support lifting platform, no other articles exist, so that the influence of external pollution on the detection quality is greatly avoided, and the good sealing property reduces the uneven air flow distribution caused by the position effect in the sample cell, so that the detection signal sensitivity and stability are improved.

The application discloses a kind of based on deep learning battery cell fault identification method and device, it is related to fault identification technical field.The method comprises: obtaining the battery cell in the running process of the to-be-identified multi-source monitoring data, and extracting the to-be-identified multi-source monitoring feature of the to-be-identified multi-source monitoring data;The to-be-identified multi-source monitoring feature is input into the battery cell fault identification model based on deep learning algorithm construction, carries out battery cell fault identification, obtains the fault probability vector of battery cell fault;According to the fault probability threshold of each fault category, the fault probability vector is disassembled, and the fault identification result of battery cell is obtained, and corresponding alarm signal is sent.The problems that the prior art exists that information dimension is single, fault signal sensitivity is insufficient and the identification ability for complex fault mode is limited are solved.

An antenna device according to an embodiment of the present invention includes a dielectric layer and an antenna unit disposed on a top surface of the dielectric layer. The antenna unit includes a mesh structure. The mesh structure of the antenna unit includes unit cells that are repeatedly arranged, and diagonal lines of each unit cell are inclined with respect to a width direction or a length direction of the antenna device. The antenna device having reduced pattern visibility and having improved transmittance and signal sensitivity is provided.

The embodiment of the invention provides a touch signal detection circuit, a touch signal detection method and a touch position positioning method, and the touch signal detection circuit comprises an interference detection module, a touch detection module, a current copying module and signal channels corresponding to sensing units. The interference detection module is connected with the reference signal channel and is used for carrying out current detection on the reference signal channel to obtain interference current; the input end of the current copying module is connected with the interference detection module, the output end of the current copying module is connected with the touch detection module, the current copying module is used for copying interference current and injecting copied current obtained through copying into the touch detection module, and the direction of the copied current is opposite to that of the interference current; and the touch detection module is also connected with other signal channels except the reference signal channel and is used for carrying out touch signal detection on the connected signal channels. Active compensation of display interference is achieved, the anti-interference capacity and the signal sensitivity are both considered, and high-reliability and high-precision touch interaction experience is achieved.

A flow measurement tube (100), comprising an inlet tube (1), a middle tube (2), and an outlet tube (3) which are communicated in sequence, wherein a height difference exists between the axis of the middle tube (2) and the axis of the inlet tube (1). The inlet tube (1) and the outlet tube (3) of the flow measurement tube (100) are straight tubes, and a height difference exists between the middle tube (2) and each straight tube, that is, the flow measurement tube (100) is bent; when the flow measurement tube (100) is applied to flow measurement, the frequencies of a working mode and an orthogonal mode are different, thereby avoiding affecting the flow measurement; meanwhile, since the flow measurement tube (100) is bent, the rigidity of the flow measurement tube (100) is reduced, thereby facilitating improving the signal sensitivity caused by the flow; in addition, compared with a single straight tube, the constraints at both ends of the flow measurement tube (100) are reduced, and the anti-stress interference capability is improved. Also provided is a flowmeter (200) comprising the flow measurement tube (100), wherein there is at least one flow measurement tube (100). By adopting the flow measurement tube (100), the measurement performance of the flowmeter (200) can be effectively improved.

The invention discloses a pressure testing method for a mobile phone screen, and relates to the field of mobile phone testing, and the method comprises the steps: collecting pressure data and coordinate data of different regions of the mobile phone screen; constructing a screen pressure signal sensitivity distribution diagram according to the pressure data and the coordinate data; dividing the mobile phone screen into a first area and a second area according to the sensitivity distribution diagram; constructing a convex optimization model according to the signal continuity problem when the pressure is moved from the first region to the second region; the convex optimization model is solved through an optimization algorithm, the optimal parameter configuration of second area pressure signal enhancement is obtained, and the optimal parameter configuration comprises the optimal sampling frequency # imgabs0 #, the optimal signal smoothing factor # imgabs1 # and the optimal historical memory weight # imgabs2 #. In order to solve the problem of poor continuity of cross-regional pressure signals of a mobile phone screen, a convex optimization model with clear constraint conditions is constructed according to the problem of continuity of the cross-regional signals, an optimization algorithm is used for solving, and smooth transition of the pressure signals from a high-SNR region to a low-SNR region is achieved.

The purpose of this invention is to provide a method and apparatus for linear block code redundancy transmission. The method includes: setting the [n,k] values ​​of the linear block code, where n is the total number of codes and k is the number of baseband information codes; generating n groups of block codes; and filtering the n groups of block codes through program debugging to determine 2... k A block code with weak cross-correlation and strong autocorrelation is used to generate input information; the input information is modulated, transmitted, demodulated, and decoded to generate output information. The apparatus for linear block code redundancy transmission includes a transmitter and a receiver; the transmitter is equipped with an encoder and a modulator; the encoder includes a block code generator, a filtering module, and an information output module; the receiver is equipped with a demodulator and a decoder. This method and apparatus for linear block code redundancy transmission is simple to apply and can improve signal sensitivity.

The invention belongs to the technical field of radomes, and particularly relates to a high-frequency broadband low-loss radome and a preparation method thereof.The radome is formed by sequentially compounding an outer skin, a sandwich, an inner skin and a surface protection layer, and the radome meets the requirements that within the frequency band of 7-10 GHz, the vertical incidence loss is smaller than or equal to 0.15 dB, and the 60-degree oblique incidence loss is smaller than or equal to 0.38 dB; and the outer skin is made of quartz fiber epoxy prepreg or quartz fiber cyanate ester prepreg, and adopts a [0 degree / 90 degree / 0 degree] three-dimensional interwoven layer design. The vertical incidence loss of the radome is less than or equal to 0.15 dB in the frequency band of 7GHz-10GHz, the inclined incidence 60-degree loss is less than or equal to 0.38 dB, and the loss is reduced by more than 30% compared with that of a traditional glass fiber reinforced material or foam sandwich structure scheme. Collaborative optimization of electromagnetic performance and mechanical performance is achieved through differential layering design of gradient skin, high-frequency signal transmission efficiency is ensured, and the strict requirements of communication satellites, radar systems and the like for signal sensitivity are met.

It is not optimal to apply analog compute-in-memory circuitry (ACiM) for all layers of a neural network or to apply digital compute-in-memory (DCiM) circuitry for all layers of the neural network, due to the tradeoff between efficiency and precision. To address this challenge, a layer-wise offloading strategy can selectively execute neural network layers using either DCiM circuitry or ACIM circuitry based on signal and statistical sensitivity conditions. The approach leverages a combined heuristic, incorporating both the number of input channels meeting a signal sensitivity criterion and the statistical properties of the weight distribution meeting a statistical sensitivity criterion. Layers are allocated to DCiM when both conditions are satisfied, while layers are allocated to ACIM if either or both conditions are not met. The approach optimizes computational efficiency by dynamically assigning resources according to input characteristics and distributional metrics.