151results about How to "Fix performance issues" patented technology

The invention relates to a parameter updating method based on low-rank decomposition, and aims to solve the problems of high consumption of computing resources and difficulty in balancing model performance and complexity when large-scale financial data is processed in the prior art. According to the method, the pre-training model is determined, the source data set is obtained, and the source data set is utilized to train the pre-training model to obtain the source model; fixing parameters of all layers of the source model, and inserting a preset number of data processing layers into the source model; and obtaining a training data set, training the inserted data processing layer by using the training data set, updating parameters of the data processing layer in an incremental mode, and finally obtaining a target model. The method is suitable for processing a scene of a large-scale data set, the problems that in the model training process, computing resource consumption is too large, and training time is too long are solved, the practicability and response speed of the model are remarkably improved, and meanwhile the performance and adaptability of the model on specific tasks are improved.

The invention provides a large eddy simulation method and system based on a mechanism-only model. The method comprises the following steps: acquiring a current dictionary database of a target turbulent flow field; the current dictionary database comprises multi-dimensional flow field features in a current time step; performing feature screening on the current dictionary database to obtain key flow field features of the target turbulent flow field; inputting the key flow field features into a mechanism-only model, and reconstructing to obtain the sublattice turbulence viscosity of the target turbulence field in the current time step; wherein the mechanism-only model is obtained by training an initial neural network model based on direct numerical simulation data of a sample turbulence field and a sublattice turbulence viscosity label of the sample turbulence field. According to the method, the simulation precision of small-scale turbulence vortex motion in large vortex simulation is improved, so that the problems of poor performance of a bottom layer model and low simulation calculation precision caused by calculation grid scale limitation and sub-grid stress simplification hypothesis are effectively solved.

The invention belongs to the technical field of network security, and discloses an Internet of Things attack detection method based on deep learning, which eliminates redundant features through feature selection, enhances inter-class difference and intra-class similarity of selected feature subsets, solves the problem of class imbalance in an attack detection data set by utilizing EQLv2, and improves the attack detection efficiency. And meanwhile, constructing a space-time model to extract space-time information of the sample. According to the method, multi-classification performance evaluation is carried out on an Internet of Things attack detection reference data set NSL-KDD and a CIC-IDS-2017, the advantages of the method are verified from five indexes including the accuracy rate, the precision rate, the recall rate, the F1 score and the false alarm rate, and the effectiveness and feasibility of the method are reflected when the method is compared with a plurality of methods.

The invention discloses a multi-optical-path ellipsoid cavity and secondary amplification resonance-based photoacoustic gas sensor and process, and relates to a photoacoustic gas sensor in the technical field of photoacoustic spectrum and trace gas detection. The device comprises an optical fiber collimator (1), an air hole (2), a laser incidence hole (3), a multi-optical-path ellipsoid reflection cavity (4), a curved beam waist resonance tube (5) and an electrical microphone (6), the optical fiber collimator (1), the laser incidence hole (3), the multi-optical-path ellipsoid reflection cavity (4), the curved beam waist resonance tube (5) and the electrical microphone (6) are connected in sequence; and the air holes (2) are respectively formed in two sides below the multi-optical-path ellipsoid reflection cavity (4). The invention has the following advantages and positive effects: the photoacoustic sensor has the advantages of high utilization rate, high sensitivity, low noise level and good system stability; the invention provides a new thought for a novel resonant high-sensitivity photoacoustic sensor, and has a huge application prospect in the field of photoacoustic spectrum gas detection.

The invention discloses an EMC (Electro Magnetic Compatibility) state evaluation system and method applied to a capacitor, and relates to the technical field of capacitor state evaluation, the evaluation system comprises a plurality of function modules which run in sequence, and the function modules are respectively an arrangement collection module, a signal processing module, a feature extraction module, a state evaluation module and an alarm feedback module; the technical key points are as follows: the system builds a life prediction model, generates a life prediction index of the capacitor according to the change trend of a comprehensive performance estimation value, and analyzes the change trend of the life prediction index in different periods, so that potential problems can be found in time, and corresponding maintenance measures can be taken; the normal operation of the capacitor is ensured; the service life is prolonged; the overall scheme not only solves the technical problem of capacitor performance and life evaluation, but also realizes real-time and accurate evaluation, and provides powerful support for normal operation and maintenance of the capacitor.

The invention provides a unit cell structure design method and device based on nickel-titanium shape memory alloy, and relates to the technical field of intelligent materials and structures.The method includes the steps that relevant characteristic parameters of nickel-titanium alloy are collected, a mechanical property index, a thermal stability index and a reliability index are generated, and then a phase change temperature index is obtained through comprehensive calculation; and the phase change temperature threshold is corrected, the geometrical shape and the bonding mode of the unit cell structure are determined, and the quasi-zero-stiffness curved beam, the supporting frame and the connecting part of the unit cell structure are optimally designed in combination with the corrected phase change temperature threshold. According to the method, through characteristic parameter pretreatment, mechanical property index calculation and unit cell structure geometric optimization of the nickel-titanium shape memory alloy, the excellent performance under different phase change states is achieved, and the buffering energy absorption and low-frequency vibration isolation functions of the alloy are improved.

The invention discloses a thin-wall three-period minimal curved surface lattice structure laser additive manufacturing method, which relates to the field of additive manufacturing, and comprises the following steps: (1) according to a three-period minimal curved surface implicit function and additive manufacturing layer thickness, obtaining a single-channel contour path of each layer through direct slicing; (2) generating parallel filling lines in each layer, and intersecting the parallel filling lines with the combination of the contour paths of the layer and the higher layer; (3) combining every two intersection points to form a line segment, and taking the line segment as a filling path if sampling points of the line segment meet the conditions of a functional expression, an inclination angle and a length; (4) taking the filling path of the layer as a supporting layer, and moving the filling path upwards by one layer to form a filling layer; and (5) all the paths are input into additive manufacturing equipment, and different machining parameters are set for manufacturing. The laser path of the thin-wall three-period minimal curved surface lattice structure can be efficiently generated, only one melting channel is contained in the thickness direction of the structure, the wall thickness is smaller than 200 micrometers, and the cavity defect generated in the slicing process can be overcome.

The embodiment of the invention discloses a reverse prediction method and device for a niobium alloy laser welding process and a medium, and relates to the technical field of laser welding. The welding process performance demand information comprises any one or more of a high-temperature oxidation resistance index, a welding depth index, a welding width-depth ratio index, a heat affected zone width index, a tensile strength index and a shear strength index; and according to the welding process performance demand information, welding process parameters corresponding to niobium alloy laser welding are determined by adopting a pre-constructed laser welding process parameter reverse prediction model, and the laser welding process parameter reverse prediction model is a back propagation neural network model based on grey wolf optimization and differential evolution algorithm optimization. According to the method, a large number of repeated tests and cost waste caused by a traditional trial and error method are avoided, and the problem that performance and parameter matching is difficult in the niobium alloy laser welding process is solved.

The invention provides a vehicle performance evaluation method, electronic equipment, a medium and a computer program product, and relates to the technical field of data processing. The method comprises the following steps: acquiring vehicle data of a plurality of vehicles; the plurality of vehicles comprise to-be-evaluated modules of the same model; the vehicle data comprises a failure identifier and vehicle mileage data; determining a failed vehicle and a non-failed vehicle based on the failure identifier; the failed vehicle is a vehicle which cannot be normally used due to the fault of the to-be-evaluated module; and calculating a reliability index of the to-be-evaluated module by using the vehicle mileage data of the failed vehicle and the vehicle mileage data of the non-failed vehicle, so as to determine the performance of the vehicle by using the reliability index. According to the method, the vehicle performance is evaluated by combining the vehicle mileage data of the failed vehicle and the vehicle mileage data of the non-failed vehicle, so that the evaluation accuracy is improved.

The invention relates to a semiconductor structure and a preparation method thereof, and the preparation method comprises the steps: forming a stacking layer on a substrate, the stacking layer comprises a to-be-protected layer, a protection layer and a first sacrificial protection layer which are sequentially formed, and the protection layer has a pinhole defect which penetrates through the protection layer in the thickness direction of the protection layer; after a preset semiconductor process is completed on the stacking layer, a chemical vapor etching process is adopted to remove the first sacrifice protection layer, and solid byproducts generated in the process of removing the first sacrifice protection layer through chemical vapor etching fill the pinholes to prevent etching gas from etching and damaging the to-be-protected layer through the pinholes; wherein the etching selection ratio of the first sacrificial protection layer to the protection layer in the chemical vapor etching process is greater than or equal to 100: 1; after the first sacrificial protection layer is completely removed, the protection layer is heated, so that solid by-products filled in the pinholes are sublimated or decomposed into gaseous substances and then are sucked and removed. The preparation method disclosed by the invention can reduce structural defects and improve product reliability.

The invention belongs to the technical field of bioplastics, and particularly relates to a bioplastic as well as a preparation method and application thereof. The bioplastic is prepared from the following raw materials in parts by mass: 10-70 parts of cellulose, 1-10 parts of a flexibilizer, 1-40 parts of a first plasticizer, 1-2 parts of a second plasticizer, 0.3-15 parts of a lubricant, 1-10 parts of an inorganic filler, 0.1-2 parts of starch and 0.1-5 parts of an auxiliary agent. Natural substances of cellulose are fully utilized, the strength and impact resistance of starch are improved, the starch has the physical property suitable for being used as a plastic substitute raw material, and plastic degradation can be accelerated by simultaneous generation of biodegradation and photodegradation while the manufacturing cost is reduced, so that the problem of plastic waste is solved.

The invention relates to the technical field of low-voltage circuit breakers, in particular to a hybrid solid-state direct-current molded case circuit breaker. The invention provides a hybrid solid-state direct-current molded case circuit breaker. The hybrid solid-state direct-current molded case circuit breaker comprises a cover body, a base, a circuit board and contact systems matched with each other, the cover body covers the base, and at least three mounting cavities are sequentially formed in the base side by side; a circuit board is arranged in one installation cavity between the installation cavities on the two sides, and contact systems are arranged in the other installation cavities. Energy generated during short-circuit breaking is absorbed through the circuit board, heat generated during short-circuit breaking is reduced, the performance of the circuit breaker is improved, the manufacturing cost of the circuit breaker is not higher than that of a pure solid circuit breaker, the circuit board is located in one installation cavity between the installation cavities on the two sides, and the situation that contact systems in the installation cavities on the two sides of the circuit board are too close to each other is avoided; the risk of short circuit is reduced, the space is utilized more reasonably, and the space utilization rate is improved.

The invention discloses a universal interpretable sequence recommendation method and system based on a multi-task self-prompt technology, and belongs to the technical field of sequence recommendation. A user interaction sequence is obtained, and a sequence recommendation module and a self-prompt generator are pre-trained based on the user interaction sequence; constructing a short input sequence based on the latest interaction of the user interaction sequence, inputting the short input sequence into a pre-trained sequence recommendation module to obtain an embedded representation of the short input sequence, inputting the embedded representation into a pre-trained self-prompt generator, extracting user features and generating personalized prompts of the user features; and on the basis of personalized prompts of user characteristics, alternately performing prompt fine adjustment on the pre-trained sequence recommendation module and the pre-trained explanation generation module, predicting a user recommendation result and generating natural language explanation. A flexible and efficient multi-task interpretable sequential recommendation framework ARTS is provided, accurate personalized recommendation is provided for recommendation results, and high-quality natural language interpretation is generated.

The invention belongs to the technical field of distributed account books, and particularly relates to a performance optimization method of a distributed account book system, which comprises the following steps: step 1, node architecture optimization: improving the processing capacity, memory and storage of nodes, reasonably configuring the load of the nodes, and avoiding overload of some nodes; and step 2, consensus algorithm improvement: the workload proof is converted to the right proof or other more efficient consensus mechanism, and the communication complexity and the calculation amount in the consensus process are reduced. According to the distributed account book system, the performance, the efficiency and the safety of the distributed account book system can be comprehensively improved by improving the node performance, improving the consensus algorithm, optimizing the transaction processing and the network layer, saving the storage space, improving the intelligent contract, simplifying the protocol layer and considering the safety and the performance balance at the same time, and the more efficient and reliable distributed account book system is provided for users.

The invention provides a method and system for supporting online editing and automatically generating a user manual, and relates to the technical field of software development, and the method comprises the following steps: obtaining data content input by a user; converting the data content into a plurality of data items, wherein the data items comprise type values and value values; judging whether the type type of the data item is a content type or not according to the type value; if it is determined that the type type is a content type, the value is converted into a DOM tree; and according to a preset rule, converting the DOM tree into a Markdown document. If it is determined that the type type is the title type, the value is converted into the Markdown document according to the title level of the data item. According to the method, the document can be automatically converted into the computer grammar, and the user manual generation efficiency is improved.

The invention provides a satellite constellation simulation method based on a native set model. The satellite constellation simulation method comprises the following steps that a current view angle rotation matrix is obtained through calculation according to the current moment; and calculating a satellite orbit. At the T0 moment of each circle, calculating satellite coordinate points contained at the starting and ending moments of the current circle to form a satellite orbit, calculating the satellite coordinate positions by introducing a front-end library, when the next circle arrives, calculating the satellite orbit of the current circle again at the T0 moment of the circle, and updating and displaying the satellite orbit; introducing a front-end library to calculate a satellite coordinate position; the satellite orbit and the view angle keep the same view angle rotation matrix for rotation transformation. According to the method, the algorithm efficiency is greatly improved, the interaction process of the front end and the rear end is saved, the calculation and display efficiency of the satellite orbit is improved and the rendering performance is improved on the premise that the display effect of satellite simulation is not influenced, and the native model supports dynamic updating, so that the geometrical shape and the material can be modified during operation, and re-creation is not needed.

The invention belongs to the technical field of batteries, and discloses a high-nickel oxide positive electrode material with a two-phase symbiotic structure and a preparation method, the unique two-phase symbiotic structure can effectively inhibit the violent change of the unit cell volume in the charging and discharging process, and the mechanical stability of the material is improved; a spinel structure is controllably constructed in advance, so that the reaction activity of the material can be effectively reduced, and the thermodynamic stability is improved, thereby inhibiting uncontrollable interface side reaction, oxygen release and irreversible phase change; due to the nanocrystallized particle morphology, faster lithium ion transmission can be realized, and the rate capability of the material is improved; the one-step spray pyrolysis method has the advantages of simple process, rapid reaction, no need of complex steps of coprecipitation, filtration, washing, crushing, calcination and the like, no generation of wastewater, great improvement of the production efficiency and reduction of the cost.

The invention relates to the technical field of big data, and discloses a rule matching method and device based on a graph theory, computer equipment and a storage medium. The method comprises the steps of obtaining a to-be-matched rule; constructing a directed acyclic graph according to the rule to be matched; traversing the directed acyclic graph, and matching according to a plurality of preset matching algorithms to obtain a matching result; and performing code response or returning specified content according to the matching result. By implementing the method provided by the invention, the dynamic management and optimization of the rule can be realized; the performance bottleneck of a traditional rule engine in processing large-scale data and complex rules is overcome.

The invention discloses a weaving method of screen cloth for a solar photovoltaic screen printing plate, which adopts various warp and weft combinations to weave the screen cloth, and meets the requirements of various performances and service life. According to the method, warp and weft different materials, different yarn diameters and different meshes are adopted for mixed weaving, according to customer requirements and market requirements, different weft yarn diameters and different warp and weft mesh numbers are set for weaving, and the specific steps are as follows: S1, mesh wires used for weaving are wound on a raw material shaft according to reed parameter indexes, and the length of each group needs to be consistent; s2, net wires used for weaving a net penetrate through a palm sheet and a reed, the palm sheet is divided into a front sheet and a rear sheet, and it is ensured that one of every two adjacent wires penetrates through the front sheet, and the other one penetrates through the rear sheet; s3, the warp yarn penetrating through the palm sheet and the reed is evenly adhered to an adhesive tape, certain tension is given, and net weaving equipment is started; s4, the rapier belt reciprocates to drive the weft to be woven, the front and rear palm sheets change angles once every time the rapier belt reciprocates, and it is ensured that the warp and the weft are woven alternately up and down.

The invention relates to the technical field of electronics, and discloses a photovoltaic power station equipment upgrading management method and device, computer equipment and a medium. According to the method provided by the invention, target equipment capable of being upgraded in a photovoltaic power station is determined based on the equipment category, the equipment performance parameter attenuation rate and the service life of each piece of equipment in the photovoltaic power station; target equipment performance parameters after the target equipment is upgraded are determined based on the upgrading information corresponding to the different types of equipment and the equipment performance parameters before the target equipment is upgraded, and upgrading management is carried out on the target equipment based on the upgraded target equipment performance parameters. According to the invention, timely upgrading of the equipment parameters of the equipment capable of being upgraded in the photovoltaic power station is realized, and the equipment performance and the productivity of the photovoltaic power station are ensured to meet the current technical requirements.

The invention discloses a lithium ion battery positive electrode with temperature control performance. The lithium ion battery positive electrode comprises a composite current collector and a positive electrode active material coating coated on at least one surface of the composite current collector, the composite current collector comprises a first aluminum foil layer, a second aluminum foil layer, and a first temperature control material layer and a second temperature control material layer which are arranged between the first aluminum foil layer and the second aluminum foil layer; a first groove and a second groove are formed in the surface of the first aluminum foil layer side by side, a third groove and a fourth groove are formed in the surface of the second aluminum foil layer side by side, the first groove corresponds to the third groove, and the second groove corresponds to the fourth groove; the first groove, the second groove, the third groove and the fourth groove are bent and extend in a zigzag shape from the center of the surface of the aluminum foil layer to the edge of the surface of the aluminum foil layer. A first temperature control material layer is embedded between the first groove and the third groove; and a second temperature control material layer is embedded between the second groove and the fourth groove. The lithium ion battery positive electrode provided by the invention has excellent temperature control performance.

The invention relates to a phase shift mask substrate and a dynamic magnetron sputtering preparation method thereof, a MoSi-based gradient film layer is continuously and dynamically deposited on the substrate, and the method comprises the following steps: carrying out first-stage deposition on the substrate by adopting a molybdenum-silicon alloy target so as to form a transition layer; carrying out second-stage deposition on the transition layer to form a main body functional layer through deposition; and third-stage deposition is carried out on the main body functional layer to form a surface modification layer through deposition, and the MoSi-based gradient film layer is obtained. The invention provides a one-step sputtering deposition method capable of dynamically and accurately regulating and controlling, so that the inherent contradiction between the performance and the stress of a single-layer uniform film is fundamentally solved, and the complexity and the uncertainty of a traditional multi-step process are avoided.

The invention provides a fuel cell, a membrane electrode assembly and a preparation method thereof. The electrode assembly comprises an outer frame and an inner frame, the outer frame is arranged on the outer side of the gas diffusion layer, the outer frame and the gas diffusion layer are arranged at an interval, and the outer frame comprises a first outer frame and a second outer frame which clamp the edge of the catalyst layer coating film; the inner frame is arranged between the outer frame and the gas diffusion layer and comprises a first inner frame and a second inner frame which are positioned on two sides of the proton exchange membrane; the side faces, facing the gas diffusion layer, of the first outer frame and the second outer frame are each provided with a first recess, the side faces, facing the outer frame, of the two sub-layers are each provided with a second recess, one parts of the first inner frame and the second inner frame are located in the first recesses, and the other parts are located in the second recesses. The contact surface of the catalyst layer coating film and the outer frame and the contact surface of the gas diffusion layer and the inner frame are both glued, the catalyst layer coating film abuts against the contact surface of the inner frame, the membrane electrode assembly can effectively overcome the transverse stress, and the durability of the membrane electrode sealing frame is remarkably enhanced.

The utility model belongs to encoder detection technical field discloses a kind of position adjustment function's encoder detection support, including base, base upper end is fixedly connected with pad, pad upper end is fixedly connected with receiving tube, receiving tube upper end is fixedly connected with detection mechanism. Through detection mechanism, encoder can be detected, and whether each parameter meets design requirement and actual application demand can be judged through detection, to avoid performance problems in actual application, through the cooperation of lifting assembly and rotating assembly, the height and angle of support when using can be adjusted according to demand in detection process, the function of position adjustment is realized, more detailed detection data is obtained, through the cooperation of positioning assembly and detection assembly, so that the detection support can be used for fixing different specifications of encoder and detecting, improve the practicability of detection support.

The invention provides a manufacturing method of a solar cell, the solar cell and a photovoltaic module. The manufacturing method of the solar cell comprises the following steps: providing a substrate; forming a first doping layer on the partially exposed surface of one side of the substrate; forming a first passivation layer on the exposed surface of one side, far away from the substrate, of the first doping layer and the exposed surface of the substrate; performing first printing processing on the first passivation layer and the first doping layer to form a plurality of first sub-electrodes which are arranged at intervals along the first direction; and performing second printing treatment on the first passivation layer and the first sub-electrode, and forming a plurality of second sub-electrodes which are arranged at intervals along the second direction on the exposed surface of the first passivation layer and the exposed surface of the first sub-electrode. The problem that the performance of the solar cell is affected by metal contact recombination in the prior art is solved.

The present disclosure relates to the field of array light field imaging technology, and in particular to a flexible self-deformable array light field intelligent imaging system and device. The system includes: a flexible image sensor array module, the flexible image sensor array module includes a plurality of rigid image sensors and a plurality of flexible stretchable wires; between the plurality of rigid image sensors and the plurality of flexible stretchable wires, the rigid image sensors are used as islands, and the flexible stretchable wires are used as bridges to form an island-bridge structure. The present disclosure using the above scheme can break through the limitations of the rigid morphological design on the imaging system, solve the contradiction between the performance and flexibility of the array light field imaging system, and realize light field intelligent imaging with high performance, high flexibility, and high adaptability.

The present invention relates to the field of data mining technology, and in particular to a development method based on an artificial intelligence education service platform. The method comprises the following steps: obtaining artificial intelligence education course data and performing topological structure analysis to establish a course model; analyzing forum access data to obtain user preferences and demand maps, thereby building a course recommendation model; extracting and analyzing user real-time interaction features to generate personalized course recommendations; using the course topological structure model to plan the best learning path for users; constructing a code simulation model based on virtual code editing environment data to divide the code practice environment; building an artificial intelligence education service platform, and performing strategy analysis based on the user's learning path, practice environment and real-time recommendation data, and finally pushing the education strategy to the platform for implementation. The present invention can improve the utilization rate of educational resources.

The utility model relates to the technical field of cutting supports, in particular to an automatic cutting and winding machine for chemical fabric drying. The cutting device comprises a machine body and a rolling assembly, one side of the machine body is provided with a cutting device, the cutting device comprises a supporting frame, one side of the supporting frame is fixedly connected with the machine body, one end of the supporting frame is fixedly connected with a drying box, and one end of the supporting frame is fixedly connected with a supporting plate; a fixing plate is fixedly connected to one side of the supporting plate, a connecting plate is fixedly connected to one side of the fixing plate, two air cylinders are fixedly connected to one side of the connecting plate, a transverse plate is fixedly connected to the output ends of the two air cylinders, a cutting knife is fixedly connected to one side of the transverse plate, and a stabilizing frame is fixedly connected to one side of the supporting plate. And one side of the stabilizing frame is fixedly connected with the machine body. The problems that a traditional chemical fabric winding machine only has a single winding function, and performance and application scenes of the traditional chemical fabric winding machine are limited due to function limitation are solved.

The invention provides a high-temperature-resistant combined type intercooler of a diesel engine. The high-temperature-resistant combined type intercooler comprises a high-temperature-resistant intercooler core assembly, an integrated sealing gasket and an aluminum intercooler core assembly. The high-temperature-resistant intercooler core assembly is connected with the aluminum intercooler core assembly, an integrated sealing gasket is arranged between the high-temperature-resistant intercooler core assembly and the aluminum intercooler core assembly, an air inlet assembly is arranged on the upper portion of the high-temperature-resistant intercooler core assembly, and an air outlet assembly is arranged at the bottom of the aluminum intercooler core assembly. Compared with a traditional intercooler, the intercooler effectively solves the problems that the post-compression temperature of a high-strength diesel engine supercharger is continuously increased, and the performance and strength of the intercooler are reduced, and the design requirement for power environment adaptability of special vehicles is met.

The present invention relates to the field of information processing technology, and in particular to an information processing method and system for an electric power data collector, the method comprising: collecting electric power data; classifying the electric power data and determining the data level, and sending the classified data to corresponding data containers respectively; comparing the data volume with the standard total data volume and allocating the data, and comparing the data transmission speed with the standard data transmission speed and calculating the designated collection time, and calculating the adjustment coefficient of the designated collection time according to the data transmission speed change rate and adjusting the designated collection time of the data collector; issuing a control instruction to the collection module according to the processing result and switching the data collection mode. The present invention improves the data collection efficiency by determining the designated collection time of data collection according to the data transmission speed, and further determining the adjustment coefficient of the designated collection time according to the data transmission speed change rate and controlling the data collection mode.