58results about How to "Respond effectively" patented technology

The application discloses a data crawling analysis method and device based on an industrial internet, and a medium, and belongs to the technical field of industrial internet data processing, and is used for solving the technical problems that the industrial internet data crawling in the prior art cannot be compatible with multiple types of web pages and dynamic loading technology, lacks customized rule configuration, has weak anti-crawling capability, and has low data structuring degree. The method comprises the following steps: collecting user demand data of a user; performing customized configuration on the initial crawling rule under the relevant rule adjustment to obtain a customized rule; performing crawling processing on a target website under relevant dynamic web pages and static web pages, and based on an anti-crawling mechanism, monitoring and controlling corresponding crawling actions to obtain target webpage data crawled; performing data structure analysis processing on the target webpage data to obtain a data structure format; performing distributed storage on the data structure format to obtain data storage result information; and feeding back and adjusting the customized rule.

The invention discloses a rapid screening and detecting method for vegetable pesticide residues, a multi-dimensional judgment basis is provided for pesticide residue detection by combining a PCR amplification result with the inhibition rate of acetylcholin esterase and butyrylcholin esterase, different types of pesticides may induce different gene expression changes, and the detection result is accurate. According to the rapid screening and detecting method for the pesticide residues in the vegetables, the accuracy of a detection result is improved, meanwhile, the variety of the pesticide residues in the vegetables can be accurately determined, the defect that specific pesticide varieties are difficult to distinguish by purely relying on an enzyme inhibition method is overcome, and the detection result is more targeted and accurate.

The invention discloses an unmanned express delivery vehicle control system and method based on operation state perception, and relates to the field of unmanned express delivery vehicle control systems. The method comprises the following steps: acquiring vehicle-mounted data in a driving period through a vehicle-mounted sensor array, performing time alignment and validity marking on the vehicle-mounted data to obtain a data quality label, constructing an evidence item set based on the data quality label, generating a sub-portrait label set according to the evidence item set, and displaying the sub-portrait label set in the driving period. And generating a portrait parameter set based on the sub-portrait label set through a preset priority rule and a persistence judgment strategy. Although the scheme has excellent performance in the aspects of improving system adaptability, safety, dynamic decision-making capability, reviewable performance and resource utilization efficiency, the problems of sensor faults, data loss, real-time data processing bottleneck, label interpretation errors and the like may influence the real-time response and decision-making precision of the system in a complex or extreme environment. Therefore, the overall performance and stability are reduced, especially under the condition of high load or low signal.

The application relates to a method and device for expressing driving information by vehicle light language, a vehicle and a storage medium, wherein the method comprises the following steps: obtaining driving information input by a driver when the vehicle is in a light language expression working condition; querying a light language expression table based on the driving information to obtain an optimal light language expression type and an optimal light language expression mode matched with the driving information; and simultaneously controlling at least one of a vehicle logo light, a width display light, a brake light, a steering light and a warning light of the vehicle to be turned on based on the optimal light language expression type, and performing a light action in the optimal light language expression mode. According to the application, the optimal light language expression type and expression mode matched with the driving information input by the driver are obtained to control the vehicle to turn on corresponding lights and perform a light action in the optimal light language expression mode, so that the information of the driver, passengers and vehicle safety can be effectively reflected by the vehicle light language, reliable driving basis is provided for other vehicles, and the reliability and safety of the vehicle are greatly improved.

The utility model relates to a pressure transmitter capillary tube sealing connection structure capable of remote transmission. Comprising a shell chassis arranged at the bottom end of the shell; the base is arranged in the shell, and an accommodating hole is formed in the base; the back pressure plate is arranged in the shell, and a threaded hole is formed in the back pressure plate; the first outer pipe and the second outer pipe are both contained in the containing hole, a cavity is formed between the first outer pipe and the second outer pipe and the containing hole, and a sealing piece is arranged in the cavity; a protective sleeve is arranged at one end of the first outer pipe, the other end of the first outer pipe is connected with one end of the second outer pipe, the protective sleeve is provided with an external thread structure in threaded fit with the threaded hole, and the other end of the second outer pipe abuts against the base plate. The capillary tube is arranged in the first outer tube and the second outer tube in a sleeving manner; and the sealing joint is connected with the chassis, and the capillary tube penetrates through the sealing joint. According to the utility model, the sealing performance is obviously improved, more convenient installation and maintenance are realized, and the requirement of long-distance pressure signal transmission in a high static pressure environment can be met.

The utility model discloses a movable bearing acoustic detection device. The detection device comprises a box body, a data processing structure and a collector, trundles are arranged at the bottom of the box body, and a detachable box cover is arranged on the side face or the top of the box body. The data processing structure comprises an amplifier, an acquisition board and an industrial personal computer, and is integrated and fixed in the box body; the collector is detachably arranged in the box body, is separated from the box body and is taken out during detection, and the collector is electrically connected with the amplifier, the collection plate and the industrial personal computer in sequence. The utility model has the advantages of safety, durability, convenience in operation, flexibility and portability, breaks through the limitation of the original fixing equipment, and is suitable for various environments and occasions.

The invention discloses a hydrogen production and energy supply simulation method and system, and relates to the technical field of hydrogen production, and the method comprises the steps: generating energy input information in an energy supply simulation system; calibrating the future energy prediction information according to the real-time energy output information to obtain calibrated energy prediction information; acquiring operation state information and hydrogen demand information of hydrogen production equipment in the energy supply simulation system; determining power distribution of the hydrogen production equipment; operating parameters of the hydrogen production equipment are adjusted according to the power distribution, the hydrogen production target and the hydrogen storage state; the operation state information of the energy supply simulation system is presented, and the operation process information of the energy supply simulation system is recorded. Optimized operation of the hydrogen production and energy supply system can be achieved, the efficiency, stability and reliability of the system are remarkably improved, and the actual operation risk is reduced.

The application provides a multi-model cooperative detection method and system for traffic abnormal events, and relates to the technical field of intelligent transportation.The method comprises the following steps: constructing a multi-source perception system covering a target traffic area, and obtaining a multi-source traffic data set; performing semantic division based on road structure and traffic operation characteristics, obtaining a plurality of traffic state units, continuously encoding the states, and generating a plurality of time-series traffic state representations; performing traffic state abnormality preliminary screening, and constructing a candidate abnormal traffic event set; inputting a multi-model cooperative analysis framework, performing multi-model joint reasoning, and outputting abnormal traffic event identification results; and combining traffic network propagation characteristics to generate abnormal traffic event response strategies.The application solves the technical problem that the traffic abnormality detection in the prior art often uses a single model to analyze data, which cannot capture multi-dimensional information of complex traffic events, thereby affecting the accurate identification of traffic abnormal events.

The utility model belongs to the technical field of electric power overhaul, and particularly relates to a warning device for electric power overhaul, which comprises a bottom plate and universal wheels, a warning structure is arranged above the bottom plate, the warning structure comprises a warning mechanism and a supporting mechanism, the warning mechanism comprises a positive and negative motor, a rotating plate, a rotating rod, a limiting plate and an adjusting box, and the supporting mechanism is arranged above the bottom plate. The output end of the forward and reverse motor is connected with the bottom of the rotating plate. According to the warning device for electric power overhaul, the warning plate can be driven to rotate, warning information is transmitted from multiple angles, the warning coverage range is expanded, meanwhile, the reflecting plate can reflect light rays at night, the four alarms can give out warning sounds, visual and auditory dual warning is formed, different light ray conditions and environments are effectively coped, the warning effect is enhanced, and the warning effect is improved. The height of the warning board can be rapidly adjusted, the warning board can be adjusted to the proper height according to the actual requirements of the space height, the sight range of personnel and the like of a maintenance site, it is ensured that warning information is clear and visible, and the applicability of the device is improved.

This invention relates to the field of spectral analysis and identification of genuine and counterfeit Chinese medicinal materials, and discloses a method for identifying counterfeit Cordyceps sinensis based on multispectral fusion. This method first collects multispectral image data of samples under standard conditions; eliminates equipment and environmental noise through standardized preprocessing to establish a reliable data foundation; then, it fuses extracted spectral derivative features and spatial texture features to construct a lightweight neural network identification model. Its core innovation lies in introducing a physical interference stripping model, which can actively correct spectral distortion caused by moisture and mold, obtaining intrinsic spectra to improve model robustness; and through dynamic verification and incremental learning mechanisms, the model can continuously evolve, effectively identifying new counterfeiting methods. Finally, the entire model is integrated into a multispectral portable terminal, achieving rapid screening within seconds and outputting a complete report including authenticity determination, type inference, and confidence level. Ultimately, this solves the industry problems of low efficiency, reliance on experience, and inability to be applied on-site by traditional methods.

The utility model provides a kind of homologous flare gas energy-saving type ignition device, it is mainly related to industrial ignition equipment technical field.A kind of homologous flare gas energy-saving type ignition device, including gas branch pipe, the gas branch pipe end portion fixed setting protective cover, the gas branch pipe other end fixed setting air inlet pipe, the air inlet pipe inside coaxial heart setting gas pipe, the protective cover bottom fixed setting protection pipe, the protective cover inside fixed setting heating body, thermocouple, the protection pipe inside is provided with heating body power cord, thermocouple cable, the thermocouple cable other end is connected with the control power supply box of outside temperature feedback.The utility model has the beneficial effect that: using silicon-carbon heating rod or silicon-molybdenum heating rod as heating body, can stable output high temperature after rapid heating, cooperate with the spiral lug design of gas branch pipe end portion, airflow is rectified and converges and is in full contact with high-temperature heating body, can reach fuel ignition point quickly, guarantee flare gas stable ignition.

The invention discloses a radar beam compensation method and device based on motion feedforward and a detection tracking system, and the method comprises the steps: enabling the azimuth rotation of a rotary table to serve as a known and measurable input disturbance through introducing a real-time beam phase compensation mechanism based on rotary table motion information feedforward; reverse compensation is actively carried out on radar beams in an electronic mode in a feed-forward mode, so that stable pointing of the radar beams to a target in an inertial space is ensured in the whole process of movement of a rotary table, and finally it is ensured that target track information is not lost when the radar guides an optical camera to search the target.

The invention discloses a GIS partial discharge monitoring and early warning method and device based on multi-antenna cancellation and multi-mode fusion, and the method comprises the steps: collecting GIS partial discharge original signals through N groups of external ultrahigh frequency antennas, inhibiting multi-source interference through combining a noise template windowing translation method, and outputting pure partial discharge signals; the method comprises the following steps: synchronously acquiring multi-mode data of bus voltage and current, cleaning the data by adopting a sliding window + linear interpolation + 3 sigma criterion, and extracting time domain and frequency domain features; multi-modal features are fused based on an attention mechanism, a lightweight CNN-LSTM model is input to realize partial discharge trend prediction and grading early warning, and model precision is optimized through a cross entropy loss function; and transmitting an early warning result to a digital platform, and after early warning is triggered, carrying out iterative optimization on model parameters according to an on-site maintenance verification result. According to the method, the extraction rate of partial discharge signals in a complex electromagnetic environment can reach more than 90%, the processing delay is less than or equal to 1ms, the early warning accuracy is improved by 10% +, and the method is suitable for external monitoring of 500kV-1000kV extra-high voltage GIS equipment.

The present application relates to the technical field of automobile active suspension control, more particularly to an active suspension control method and system for an in-wheel motor automobile under complex road conditions. The control method comprises: obtaining the current driving state of the vehicle; and switching the output force of the active suspension actuator according to the driving information. The present application combines the extension LQG control and the preview MPC control to construct a complex road switching control scheme, and introduces a smoothing coefficient to ensure smooth transition during control switching, thereby improving the ride comfort of the vehicle under random road conditions containing discrete impacts. The present application further improves the driving smoothness and suspension working safety, especially the comprehensive control performance of the suspension under the influence of discrete impacts.

The application provides a kind of miscellaneous fill mucky soil pipe network drilling hole wall stable control device, including fixed base, hole wall support unit, inflatable structure and clamping assembly.Fixed base is set at the orifice of drilling, with the through hole that is communicated with the orifice.Hole wall support unit is provided with multiple, multiple hole wall support units can form the wall protection string that can be lowered into drilling through the through hole in series.Every hole wall support unit has expansion section.Inflatable structure can inflate hole wall support unit after being lowered into drilling, so that expansion section extends outward and abuts with hole wall.Clamping assembly can clamp the top end of hole wall support unit before inflating hole wall support unit.The miscellaneous fill mucky soil pipe network drilling hole wall stable control device provided by the application can efficiently respond to the effect of soil stress change, improve the supporting effect, effectively reduce the risk of hole collapse, and guarantee the construction progress and safety.

The utility model relates to wafer processing technical field especially, relates to a wafer cutting machine. The utility model provides a wafer cutting machine, including square through frame, marble base, marble stand, marble crossbeam, laser light path, Z axle, mounting panel, cutting head, connecting block and connecting wire etc., be equipped with marble base on square through frame, marble base rear side symmetry is equipped with marble stand, marble stand top between being equipped with marble crossbeam, be equipped with laser light path on marble crossbeam, marble crossbeam front side is equipped with mounting panel, and the front side mounting of mounting panel has Z axle, and the output end of Z axle is connected with connecting block, and the middle part mounting of connecting block has cutting head, and connecting block and laser light path are connected through connecting wire, still include the right side of connecting block is equipped with visual system. Through the unique visual system that camera one, camera two and camera three constitute, effectively promoted the flexibility and adaptability of cutting machine in the cutting of residual piece.

The invention discloses a high-quality bird sound rapid screening method based on acoustic index fusion judgment, and the method comprises the steps: automatically loading continuously collected audio files in a preset date range, analyzing the collection time information, carrying out the time sorting, carrying out the resampling and channel unified processing of audio data, and carrying out the collection of the collection time information; segmenting the audio signal according to natural minutes and completing time marking; estimating background noise power and calculating a noise reduction acoustic complexity index, and selecting audio segments in a preset proportion range as a candidate segment set; acoustic diversity indexes of the candidate segments are calculated respectively, and the number of effective frequency bands is extracted; and constructing a dynamic discrimination threshold, and obtaining a final high-quality bird sound fragment screening result through multi-condition joint judgment of ADI and FADI. The method has the advantages of being high in calculation efficiency and high in noise interference robustness, is suitable for automatic analysis and processing of large-scale field collected data, and can effectively improve the quality and availability of front-end acoustic data.

The application belongs to the field of new generation wireless communication technology, and provides an interference utilization precoding method and system for ISAC system security enhancement. Based on the -PSK structure, the constellation is divided into multiple regions, in each time slot, a region is randomly selected as the DI region, the data security scaling factor based on random DI and its refined version are derived, and the non-convex optimization problem of guaranteeing the communication CI constraint, the data security constraint based on random DI and the transmission power constraint is constructed with the optimization target of maximizing the radar illumination power towards the eavesdropper, and the optimization result is solved. The simulation results show that the security enhanced interference utilization precoding scheme can effectively deal with the intelligent data eavesdropper in the ISAC system, and compared with the existing CI based ISAC precoding scheme and the ISAC precoding scheme based on deterministic DI, it has significant advantages in improving the data security of the ISAC system.

The utility model relates to the technical field of fly ash sampling, and discloses a boiler flue fly ash sampler which comprises a sampling bottle, a cyclone separator is installed at the top of the sampling bottle, a suction pipe is rotatably connected to one side of the cyclone separator, a connecting pipe is slidably connected to the outer portion of the suction pipe, a suction nozzle is fixedly connected to the bottom of the connecting pipe, and the suction nozzle is fixedly connected to the bottom of the sampling bottle. Extension blocks are fixedly connected to the periphery of the outer portion of the suction pipe, first springs are fixedly connected to the periphery of the outer portion of the suction pipe, sliding blocks are fixedly connected to the other ends of the first springs, clamping balls are fixedly connected to the other ends of the sliding blocks, and clamping grooves are formed in the periphery of the inner wall of the connecting pipe. According to the utility model, when a user pulls the connecting pipe, the extension block slides in the connecting pipe, and stable length locking is realized through the matching of the clamping ball and the clamping groove, so that the smooth movement of the connecting pipe is ensured, and the suction pipe can be quickly adjusted to a proper position according to different sampling requirements.

The invention relates to a single image snow removal method and system based on frequency domain enhancement multi-scale feature extraction and a medium, and the method comprises the following steps: obtaining an input image degraded by snow, inputting the input image into a pre-trained frequency domain enhancement-based snow removal model for processing, outputting a high-fidelity snow removal image, and carrying out the processing of the high-fidelity snow removal image; the frequency domain enhancement-based snow removal model comprises a resampling module and a plurality of channels, wherein each channel comprises an overlapped image block embedding module, a multi-scale feature extraction module, a Transform module and a snowless image reconstruction module which are connected in sequence. Compared with the prior art, attention can be dynamically adjusted so as to effectively cope with snowflake noise of different scales, and therefore the snow removing effect and the like are remarkably improved.

The utility model relates to the technical field of grape planting, in particular to a grape planting greenhouse which comprises a foundation surface and a soil wall body, the periphery of the upper end of the foundation surface is jointly and fixedly connected with a main body device, the middle of the upper end of the foundation surface is fixedly connected with a plurality of stone columns, and the surface of the main body device is covered with a covering film. An auxiliary device is arranged between the front end and the rear end of the main body device; the main body device comprises a plate frame body and a steel frame. According to the grape planting greenhouse, the supporting structure composed of the foundation surface, the stone columns, the steel frame and the steel wires is matched with the soil wall body and the anti-bird net, linkage control over temperature, humidity and illumination monitoring and irrigation and heating is achieved in combination with the auxiliary device with the sensor equipment, and meanwhile the ventilation openings are formed; the problems that a traditional greenhouse is unstable in structure, poor in environment regulation and control, insufficient in bird prevention and poor in ventilation are solved, the stability and the automatic regulation and control capacity of the greenhouse body are improved, bird infringement and pest and disease damage are reduced, and a suitable environment is provided for grape growth.

This application discloses a wind turbine blade injection device and equipment. The wind turbine blade injection device includes a mold, a lifting mechanism, an injection assembly, a sensor, and a controller. The lifting mechanism includes a drive component and a lifting platform. The drive component moves the lifting platform along the height direction of the mold. The injection assembly includes a buffer bag, a first guide pipe, and a second guide pipe. The buffer bag is placed on the lifting platform and is connected to the injection glue machine through the first guide pipe and to the guide channel through the second guide pipe. The sensor detects the liquid level injection height within the mold. The controller is electrically connected to both the lifting mechanism and the sensor. Based on the liquid level injection height information detected by the sensor, the controller controls the drive component to adjust the height of the lifting platform so that the height of the buffer bag matches the liquid level injection height. The technical solution provided by this application can ensure uniform resin injection, reduce problems such as uneven resin flow and residual air bubbles, and improve the quality of blade molding.

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 supply chain dynamic resource allocation method, which comprises the following steps: acquiring original data in real time, including supply chain core data and external environment data; each node of the supply chain is used as a participant, an average field game model is constructed based on the original data, and the nodes comprise suppliers, warehouses and logistics providers; solving the average field game model by using a Hamiltonian-Jacobian-Bellman equation to obtain an initial optimal strategy of each participant, and further obtaining initial strategy probability distribution; performing iterative optimization on the initial strategy probability distribution by using a deep reinforcement learning algorithm to obtain optimized strategy probability distribution, the optimized strategy probability distribution representing the probability distribution of the strategy selected by each participant in the input state, the input state comprises a group state, an inventory level of each warehouse, an average daily demand of each warehouse and a social media public opinion popularity score; and determining and executing the optimal strategy of each participant in the input state according to the optimization strategy probability distribution. Based on this, a dynamic environment can be effectively handled, and dynamic optimization of supply chain resource allocation is realized.

The present disclosure relates to a vehicle intelligent control method and device, a storage medium and a vehicle. The method comprises: playing a preset ultrasonic signal in a vehicle space and picking up a corresponding time-domain sound signal; determining whether a biological disturbance exists in the vehicle space according to the time-domain sound signal; determining the position and / or quantity of passengers in the vehicle according to information corresponding to the biological disturbance; and performing corresponding operations according to the determined position and / or quantity of passengers in the vehicle and a corresponding preset intelligent operation strategy. The present scheme uses an ultrasonic signal to detect a biological disturbance in a vehicle space, thereby accurately obtaining the position and / or quantity of passengers in the vehicle, and then performing corresponding intelligent control on the vehicle.

The invention discloses a counterfeited face image detection method based on target positioning and mask reconstruction, and relates to the field of image detection, and the method comprises the steps: carrying out the precise recognition and separation of a face region of an input to-be-detected image, and extracting a pure face image without background interference; local mask processing is randomly applied to the pure face image, a plurality of face samples with shielded local information are generated, and a diversified sample set for model training is constructed; according to the method, the pure face image is obtained by accurately identifying and separating the face area and eliminating background interference, a reliable foundation is laid for detection, diversified local masks are randomly applied to generate rich samples, the adaptability of the model to different shielding conditions is effectively improved, accurate reconstruction of the face image is achieved by means of an auto-encoder containing jump connection, and the detection accuracy is improved. Multi-scale features are fully fused to restore detail and global information, and a multi-scale geometric mean similarity measurement method is adopted to accurately calculate pixel-level differences.

The invention discloses a drug risk analysis method and system based on full-life-cycle data, and belongs to the technical field of drug quality and safety management.The method comprises the steps that a drug full-life-cycle causal network containing nodes and directed edges is constructed based on historical and real-time full-life-cycle data of drugs; calculating a node risk entropy of each node; performing risk conduction simulation to determine a risk accumulation condition; and predicting and outputting a risk outbreak path. The core of the method is that self-adaptive evolution is realized through a double closed-loop feedback mechanism: a first closed loop corrects the causal network according to a comparison result of a predicted risk outbreak path and an actual risk event, and a second closed loop analyzes and updates an ideal state baseline model according to a global risk state. The technical problem that an existing risk analysis model is static and poor in adaptability is solved, risk analysis capable of self-correction and evolution is achieved, and the long-term accuracy of risk prediction is remarkably improved.

This application discloses an overcurrent protection event handling method and an electronic device, belonging to the field of electronic device technology. The method includes: acquiring a target OCP event reported by the PMIC; in response to the target OCP event being a non-false alarm event, determining the failure type that triggered the target OCP event, the failure type including hard failure or soft failure; in response to the failure type triggering the target OCP event being a hard failure, controlling the electronic device to output a target prompt; in response to the failure type triggering the target OCP event being a soft failure, adjusting the target parameter that triggered the soft failure.

The application provides a multi-robot system cooperative planning method, and belongs to the technical field of multi-robot welding systems, and can at least partially solve the problems of task allocation and sequence planning separation processing, dependence on artificial experience and low planning efficiency in the prior art. The application comprises: establishing a multi-objective optimization model with the optimization objectives of minimizing the robot movement distance difference and minimizing the maximum movement stroke; adopting a double-chromosome coding scheme to code individuals, and respectively representing the task allocation and operation sequence of each robot; performing population initialization based on spatial region division to generate an initial population satisfying process constraints; constructing an enhanced adjacency list and performing a crossover operation to generate offspring individuals; performing iterative optimization until the termination condition is met, and selecting a planning scheme from the non-dominated solution set. The application realizes the synchronous optimization of task allocation and sequence planning, and significantly improves the planning efficiency and production efficiency of the multi-robot system.

A burst traffic allocation method based on deep learning and cooperative game theory, belonging to the field of communication network traffic engineering technology, solves the problems of resource optimization and user experience fairness under burst traffic in dynamic networks. The core of this invention lies in deeply coupling network-side traffic engineering (QoS optimization) with user-side resource allocation (QoE optimization) to form a closed-loop collaborative optimization framework. In burst traffic scenarios, this method first allocates traffic to alternative paths according to the path allocation ratio calculated by the model, reducing maximum link utilization, avoiding network congestion, and enhancing the network's robustness to burst traffic. Then, the available bandwidth on the allocated paths is used as a resource and distributed among multiple users, aiming to maximize the overall experience of all users while ensuring fairness among users, achieving collaborative optimization of service quality and user experience quality in a dynamic network environment.