561results about How to "Addressing Adaptive Issues" patented technology

The invention discloses a printing image defect detection method, which comprises the following steps: carrying out real-time image model learning in a gray scale region and a gradient region by aiming at specific images on a large image; comparing the large image to be detected to the a gray scale region model and a gradient region model established during learning; realizing small-dimension strong-contrast defect detection through Blob cluster analysis; when no small-dimension strong-contrast defect is detected, dividing the large image into sub regions, and respectively calculating image integrated features; adopting a variable threshold method for carrying out threshold division on each sub region; carrying out Blob cluster analysis on divided images; and realizing the large-area weak-contrast defect detection. Compared with the prior art, the invention does not rely on a reference template, is not sensitive on the real-time imaging brightness change, can overcome the defects of missing detection, error detection and poor self adaptation of the template by using a reference template comparison detection method, and can simultaneously solve the problems of eliminating tiny wrinkles and blackspots in printing and papermaking industries.

The invention relates to the field of double dynamic license plate identification, and provides a character confidence degree-based secondary license plate identification method and apparatus for the problems existent in the prior art. The method comprises the steps of performing character identification through template matching; giving out confidence degrees of identification results; for the results with relatively low confidence degrees, performing video super-resolution processing to obtain a frame of high-quality image; and based on the image, performing secondary license plate identification through a neural network classifier. According to the method and the apparatus, a license plate confidence degree threshold Th is preset; a picture is captured from a front end and license plate locating and segmenting are performed; characters of a license plate are identified; character identification confidence degrees and license plate identification confidence degree are calculated; when the character confidence degrees are all higher than the threshold Th, a license plate identification result is directly given, otherwise, the video super-resolution processing is performed; a frame of high-quality image is obtained by utilizing time domain information; and based on the image, the to-be-identified characters are input to classifiers for performing identification according to a position relationship of the to-be-identified characters, so that a final license plate identification result is obtained.

An oil displacing method using the internal microbes in oil reservoir for the water injection region features that the microbe activator determined by the microbe kinds in the oil reservoir is injected in the stratum for higher pertroleum output. Its advantages are high effect and low cost.

The invention discloses a zero pedal torque control method of a purely-power-driven vehicle. According to the control method, the state of a vehicle zero pedal is divided into a slide-prevention mode and a worming mode. Under the slide-prevention mode or the worming mode, torque is output according to an operation state of the vehicle and all the output torque undergoes filtering. According to the zero pedal torque control method of the purely-power-driven vehicle, the problems of sliding or vibration of the purely-power-driven vehicle under the zero pedal torque mode are solved and running smoothness and driving comfort are improved.

The invention discloses an abstract service logic-based interactive semantic Web service dynamic combination method. The method comprises the following steps of: separating abstract service description from specific semantic Web service instances by establishing a resource service mapping model, performing unified semantic description on Web services by using an ontology web language for services (OWL-S), realizing static binding with lower-layer services, and providing a unified interface for the service combination; performing abstract description on the combined process through combined service process modeling and providing a combined template; finishing intelligent search and match of the services by combining Chinese word segmentation technology with an ontology-based conception matching algorithm under the support of a domain ontology and a professional thesaurus; and analyzing a timing sequence relationship and a control relationship of nodes in the combined process to realize dynamic binding and executing of the services, and constructing a service combination engine.

The invention discloses a WLAN (Wireless Local Area Network) indoor step-type RD-ANFIS (Region Division-Adaptive Network-based Fuzzy Inference System) positioning method which relates to a fuzzy-clustering ANFIS indoor positioning method and solves the problems of easy overmatching, reduced environmental suitability and poor positioning precision of an ANFIS system due to large positioning area and complex pattern under the WLAN indoor environment. The positioning method comprises the following steps of: dividing a target positioning area into a plurality of adjacent and communicated subareas according to an FCM (Fuzzy C-Means) clustering technology at the off-line stage, wherein RPs (Reference Points) with similar SNR (Signal to Noise Ratio) distribution characteristics belong to the same subarea; obtaining an initial fuzzy inference principle of each communicated subarea by utilizing a fuzzy subtractive clustering method and building an ANFIS positioning system of each subarea; obtaining a pre-estimated area of the positioning terminal position by comparing an SNR sample average value acquired at a positioning terminal with an Euclidean distance of different clustering centers, and finally realizing accurate coordinate estimation of the position by utilizing the ANFIS positioning system of the area. The invention can be used in the pattern recognition field.

The invention discloses a temperature-resistant, corrosion-resistant and high-adhesion adhesive and a preparation method thereof, and belongs to the technical field of adhesives. The temperature-resistant, corrosion-resistant and high-adhesion adhesive consists of two components, i. e., an adhesive A and an adhesive B, in the weight ratio of 100:1-10, wherein the adhesive A consists of chemical plasticizing vinyl ester resin, a polymerization inhibitor, a low shrinkage agent, a free radical curing solvent, gas-phase silicon dioxide, inorganic filler, a coupling agent, a defoaming agent, color paste or paint, a promoter and a promotion additive; and the adhesive B consists of phthalic ester, peroxide and inertial powder filler. The adhesive provided by the invention has the performance of heat resistance, corrosion resistance, penetration resistance, adhesion, positioning, impact resistance and the like, can be formed into different types at normal temperature, and medium and high temperature, is easy and convenient to operate, can bring the unique advantage of the adhesive into full play on some occasions requiring to paying attention to corrosion resistance, adhesion, heat resistance and the like, and is suitable for mutual adhesion among a continuous cellulose material, a concrete material, a metal material, stone, FRP (Fiber Reinforce Plastic), thermoplastic plastic and the like.

The invention discloses a welding robot vision assembly and a measuring method thereof. The measuring method comprises the following steps: an industrial personal computer controls a global positioning vision assembly to collect workpiece image information and sends workpiece fine positioning measurement position information to a welding robot control system; the welding robot control system controls a welding gun of the welding robot to move a fine positioning visual assembly to a fine positioning measurement point; the industrial personal computer controls the fine positioning visual assembly to collect a workpiece weld joint image, calculates coordinates of a starting point and an ending point of a workpiece weld joint, and automatically generates a welding path of the workpiece weld joint; and the industrial personal computer guides the welding gun to move to a weld joint starting point for arc starting welding and to the ending point for arc extinguishing, and welding of the welding joint is completed. The welding robot vision assembly has the advantages of being free of teaching, high in welding efficiency, high in system tolerance and high in flexibility.

The invention discloses a processing method and a system of multi-core processor load balancing. The method comprises the following steps: a multi-core processor obtains the identification information of an input message; the identification information and a selected HASH factor are subject to the HASH operation by the multi-core processor to obtain the HASH value corresponding to the identification information, and transmits the output message to the core corresponding to the HASH value; and the selected HASH factor is adjusted according to the load condition of each core in the multi-core processor. The method and system of the invention can enhance the flexibility and the performance of the multi-core processor, and enhance the user experience.

The invention relates to a self-adaptive networking method based on a baseband with a large-scale processing ability and business. Various access communication nodes access the baseband with the large-scale processing ability to realize intensive processing and controlling, and a three-level network of a cloud computing server, the baseband with the large-scale processing ability and the access communication nodes is formed. The baseband with the large-scale processing ability configures the access communication nodes according to the requirements of business and also self-adaptively adjusts resource and power distribution to increase the energy efficiency of the network according to the change of the business and a coverage area. User equipment covered by different access communication nodes shares the same wireless resource, the large-scale collaborative airspace interference control can also be realized, and wireless interference is reduced. As the method utilizes the baseband with the large-scale processing ability with a function for supporting heterogeneous multimode communication and a software-defined calculating ability to realize intensive controlling to network elements and sharing to the wireless resource, the wireless network realizes self-adaption to the coverage and the dynamic change of business, the energy consumption and interference of the network are reduced, and the spectral efficiency and the energy efficiency of the network are increased.

The invention relates to a magnetic device capable of performing facial beautifying and wrinkle removing on a human body and a beautifying method thereof. The magnetic device is composed of an AC filtering circuit, a rectifying and DC filtering circuit, a power factor adjusting and boosting circuit, a startup slow starting circuit, a high-voltage energy storage circuit, an energy-storage capacitor discharging circuit, a safety protection discharging circuit, an auxiliary power supply module, a computer control module and an adjustment display module. The beautifying method comprises the steps that a central part of an inductance coil is placed at the part which needs to be beautified, the inductance coil keeps a small distance away from the skin or is slightly contacted with the skin, or a piece of soft tissue paper is arranged between the inductance coil and the part to be beautified; the output frequency of the inductance coil is controlled to be between 30Hz and 300Hz by the computer control module; the output magnetic intensity of the inductance coil is controlled and adjusted by the computer control module so as to set the stimulation intensity which gives rise to contraction of subcutaneous muscles; the action time is set to be between 0.4s and 3.0s, the interval time is 1.0s-3.0s, the beautifying time is 15-30min for one time, beautifying is performed once a day, and 10 times form a course of treatment.

The invention relates to a preparing method of a rare earth catalytic cracking double-metal deactivator. The method includes steps of: A) mixing 300-600 kg of a mother liquor A, 50-150 kg of a mother liquor B and 5-20 kg of a pH conditioner and stirring; and B) adding 30-80 kg of deionized water, stirring for 30-60 min and discharging. The catalytic cracking double-metal deactivator with wide suitability is developed, thus effectively solving a suitability problem of deactivators.

The invention relates to a package structure of a high-temperature pressure sensor, comprising a silicon carbide sensitive chip, an aluminum nitride base, a stress buffer substrate, a high-temperature sealing glass, a lead post, a Kovar outer cover and a thermocouple, wherein the aluminum nitride base is There is a boss on the surface, a stress buffer substrate is placed on the boss, and a silicon carbide sensitive chip is placed on the stress buffer substrate; the periphery of the boss is a stress isolation groove, and there are two or more through holes on the periphery of the stress isolation groove. The column passes through the through hole and is sintered by high-temperature sealing glass to realize the fixed connection between the lead column and the aluminum nitride base. The thermocouple is installed on the lower surface of the aluminum nitride base, and the aluminum nitride base is placed on the Kovar housing through the positioning steps. In addition, the aluminum nitride base and the Kovar cover are sintered and connected through high-temperature sealing glass. The packaging structure is resistant to high temperature, effectively reduces the influence of process stress and high temperature thermal stress on the sensitive chip of the MEMS pressure sensor, and further improves the high temperature measurement accuracy of the sensor.

The invention discloses a method and a device for adjusting tone quality of an earphone on a terminal. The method comprises the following steps: receiving an identification instruction of the earphone; identifying the earphone through at least one camera in the terminal to obtain hardware information of the earphone; and obtaining a corresponding sound effect parameter according to the hardware information, and adjusting the tone quality of the earphone according to the sound effect parameter. The method is used for identifying model numbers of different earphones through the camera and automatically adjusting the tone quality of earphones with different model numbers to solve the adaptability problem of the current sound effect technology on the earphones, and the most suitable sound effect parameters can be obtained quickly and simply by using different earphones, thereby enhancing the convenience and quickness of consumers for using sound effects of terminals, greatly improving the sense of science and technology and the intelligence degree of the product and enhancing the user experience.

The invention provides a non-insulation track circuit comprising a main track circuit and a small track circuit, wherein the main track circuit comprises a first transmitter, a first receiver, a first capacitance compensator, a second capacitance compensator and a first tuning zone; the small track circuit comprises a second transmitter, a second receiver and a second tuning zone; the first tuning zone and the second tuning zone both comprise first tuning units, second tuning units and hollow coils; the first capacitance compensator, the first tuning units, the hollow coils, the second tuning units and the second capacitance compensator are connected to the main track circuit in parallel; the first receiver in the second tuning zone is connected with the first tuning units, and the second transmitter is connected with the second tuning units; the first transmitter in the first tuning zone is connected with the first tuning units; the first tuning units and the second tuning units are all used for transmitting signals of the neighboring zones of a short circuit in the zones and presenting compatibility for the signals of the zones and form parallel resonance with loops of the tuning zones.

The invention discloses a preparation method of a water retaining agent. The preparation method comprises the following steps: carrying out an aqueous phase radical polymerization reaction on unsaturated amide micro-monomers, unsaturated sulphonic acid micro-monomers and unsaturated polyether macromers or unsaturated ester macromonomers under the coaction of an oxidation-reduction system composed of an initiator and a reducing agent to obtain a copolymerization product, regulating the pH value to 6-7 after the reaction, and adding water to obtain the water retaining agent with mass concentration of 1-60%. The preparation method disclosed by the invention is used for adjusting the product properties by controlling the monomer proportion, the temperature and the dosage of the initiator and the reducing agent, the reaction speed is high, the efficiency is high, no organic solvent is used, no toxin or pollution is generated, and the operation is simple. The unsaturated macromonomers are introduced into the prepared concrete/mortar water retaining agent to ensure excellent water retaining property and obviously perfect such stirring states of the concrete/mortar as bleeding/separation and the like without generating such adverse effects as strength and the like, meanwhile, the water retaining agent can be compounded with a polycarboxylic acid water reducing agent at any proportion to ensure good intermiscibility. The product performance is stable.

The invention provides a real-time speed monotony scheduling method based on dynamic time slices. The method includes the steps that a plurality of isolated ready queues are firstly set through a system of the method, and real-time tasks are allocated to the queues at different levels according to different priorities; all the queues enter a processor in sequence according to the levels, the task initial time slice is set to be short for the queues with the high priorities, and the task initial time slice is set to be long for the queues with the low priorities; the first task time slices are the initial time slices, the relation between the initial time slice T of each queue and the high priority P is as follow: T=kP (k is a constant), and the time slices of all the remaining tasks in the queues are adjusted dynamically. If the operating time of a certain real-time task in one queue exceeds allocated operating time, if the real-time task continues to operate, delay of the whole queue is possibly caused, so that the task is discarded, and ID of the task is recorded; the system can be suitable for wireless services of different types by adjusting the parameter k, and has certain flexibility.

The invention relates to a steel rail fastener abnormity detection method capable of automatically labeling samples. According to the method, the fastener samples can be automatically collected in thefastener area positioning stage to construct the training data set, and the training samples do not need to be manually collected and labeled. A multi-classification recognition model integrating a knowledge base obtained based on off-line learning and an on-line learning classifier is provided, and the adaptability of fastener classification to new line data is improved. According to the method,a template library is dynamically updated by utilizing the thought of online learning, so that the fastener area positioning module can adapt to track images of different railway lines or different sections. In addition, a deep convolutional neural network model is designed, multiple convolutional layers are used for extracting image features, the expression capability of the image features is higher, and the image classification precision can be effectively improved. Aiming at the problem of unbalanced sample number of different types of fasteners, the invention provides a random sorting strategy to reduce the influence of unbalanced sample number on the network performance.

The invention discloses an adaptive particle swarm algorithm-based grayscale threshold obtaining method and an image segmentation method, and belongs to the technical field of image processing. The grayscale threshold obtaining method is characterized by comprising the following steps of S01, performing population initialization on a grayscale value of an image; S02, calculating a fitness value of an individual in a population; S03, calculating an optimal position and a global optimal position of the individual in the population; S04, updating the optimal position and the global optimal position of the individual in the population; and S05, judging whether a stop condition is met or not, and if the stop condition is met, obtaining an optimal solution and obtaining an optimal grayscale threshold, otherwise, executing the step S02 to enter a next-generation population, wherein the optimal position and the global optimal position of the individual are dynamically adjusted by adopting an inertial weight in the step S04. The grayscale threshold obtaining method has autonomic learning property, adaptivity and relatively high robustness, can concurrently solve the grayscale threshold globally and better avoid local optimum, and is accurate and efficient.

The invention provides a low-relative-molecular-weight anti-clay type phosphate-based superplasticizer, and a preparation method and application thereof. The low-relative-molecular-weight anti-clay type phosphate-based superplasticizer has excellent anti-clay performance. The preparation method is easy to operate, mild in reaction conditions, capable of realizing industrial production and free ofenvironmental pollution. The preparation method comprises the following steps: (1) with polyamine of a specific structure as a starting agent, carrying out a ring opening reaction on epoxyalkane, andthen carrying out purifying to obtain a branched polyether polyamine intermediate with a terminal hydroxyl group; and (2) phosphorylating the terminal hydroxyl group of the branched polyether polyamine, and then carrying out purifying to obtain the low-relative-molecular-weight anti-clay type phosphate-based superplasticizer. The low-relative-molecular-weight anti-clay type phosphate-based superplasticizer has a molecular weight of 5, 000 to 14, 000.

The invention discloses a coal bed hydrofracture micro-earthquake signal combined noise reduction method based on wavelet packet multithreshold and improved experience mode decomposition. The coal bedhydrofracture micro-earthquake signal combined noise reduction method based on wavelet packet multithreshold and improved experience mode decomposition comprises the following steps: step 1, guidingan acquired micro-earthquake coal and rock fracture signal time sequence S (n); step 2, preprocessing of signals: triggering and intercepting signals; step 3, carrying out wavelet packet decompositionon hydrofracture micro-earthquake signals; step 4, wavelet packet multithreshold noise reduction; step 5, carrying out improved HHT secondary noise reduction treatment; and step 6, reconstructing signals. The problem of noise reduction of hydrofracture micro-earthquake signals is solved effectively. The coal bed hydrofracture micro-earthquake signal combined noise reduction method based on wavelet packet multithreshold and improved experience mode decomposition has the characteristics of good noise reduction effect and high applicability.