58 results about "Dual model" patented technology

A system and method may model physical geological structures. Seismic and geologic data may be accepted. A three-dimensional (3D) transformation may be generated between a 3D present day model having points representing present locations of the physical geological structures and a 3D past depositional model having points representing locations where the physical geological structures were originally deposited. An indication may be accepted to locally change the 3D transformation for a subset of sampling points in a first model of the models. The 3D transformation may be locally changed to fit the updated subset of sampling points. A locally altered or updated version of the first model and, e.g., second model, may be displayed where local changes to the first model are defined by the locally changed 3D transformation. The transformation may also be used to extract geobodies in the past depositional model.

The invention discloses a method for extracting a text-oriented field term and term relationship. The method is characterized by comprising the following steps of: firstly, preprocessing original linguistic data to obtain a candidate word set including clauses, participles and part of speech tagging, and filtering noise words; secondly, extracting term characteristics from the original linguisticdata and the Internet, and separating terms from candidate words by combining with a dual-model structure algorithm; thirdly, constructing a term dictionary by adopting an inverted index method, and tagging the terms in a text to be identified by using a longest match algorithm; and finally, carrying out multilevel sign sequence tagging through a conditional random field model according to a multi-dimensional node signing rule to obtain a relationship among the terms in the text to be identified.

The invention relates to a preparation method of a mesoporous X-type molecular sieve and a method for preparing an adsorbent by using the molecular sieve as an active component. The prepared adsorbent based on the mesoporous X-type molecular sieve is used as a paraxylene adsorptive separation adsorbent. The method for preparing the mesoporous X-type molecular sieve comprises the following steps: by using water glass as a silicon source and aluminum hydroxide as an aluminum source, adding a template, and carrying out hydrothermal synthesis to obtain the mesoporous X-type molecular sieve. The mesoporous molecular sieve and kaolin are proportionally molded to obtain 0.3-0.8mm granules, and the granules are subjected to barium ion or (and) potassium ion exchange until the exchange degree is greater than 99%, thereby obtaining the adsorbent which has excellent adsorptive separation capacity for paraxylene in C8 aromatic hydrocarbons. Compared with the prior art, the active component mesoporous X-type molecular sieve of the adsorbent, which is prepared by using the template, has the crystal form structure of the X-type molecular sieve and the pore distribution of the mesoporous and microporous dual models; the mesoporous pore size distribution is 2nm or so; and thus, the problem of overlow mass transfer rate in the adsorbent can be solved.

Provided are common mode filtering method and device for use with a defected ground structure, the device including a substrate, coupled microstrip lines formed on the substrate and a ground plane formed underneath the substrate, the common mode filtering method being characterized by forming at least a defected ground structure on the ground plane and making dual mode signals pass through the coupled microstrip lines, thereby using the defected ground structure to suppress dual model noises within a specific frequency band and prevent signal distortion.

The invention provides an indoor position service-oriented navigation network construction method, which comprises the following steps of S1, importing a BIM building model in a target building IFC format, and obtaining an original model capable of being applied to indoor position service through three-dimensional visualization; S2, extracting semantic information in IFC through semantic filtering, and constructing an ontology model in a formalized mode; S3, in the form of a dual graph, converting the topological relation in the original model into a graph model; S4, extracting geometric information of structural components such as rooms, columns, walls and stairs and indoor facilities such as furniture in the BIM model, constructing constraint boundaries, performing spatial subdivision through a limited Delaunay triangulation refinement algorithm, and constructing a geometric network model; and S5, integrating the ontology model, the graph model and the geometric model data to form anavigation network for indoor position service. Based on BIM model data, a dual model is established by extracting semantic information, geometric information and a topological relation, and a construction method considering a real indoor environment navigation geometric network is explored.

A system and method may model physical geological structures. Seismic and geologic data may be accepted. A three-dimensional (3D) transformation may be generated between a 3D present day model having points representing present locations of the physical geological structures and a 3D past depositional model having points representing locations where the physical geological structures were originally deposited. An indication may be accepted to locally change the 3D transformation for a subset of sampling points in a first model of the models. The 3D transformation may be locally changed to fit the updated subset of sampling points. A locally altered or updated version of the first model and, e.g., second model, may be displayed where local changes to the first model are defined by the locally changed 3D transformation. The transformation may also be used to extract geobodies in the past depositional model.

The invention discloses an auto-fluorescence tomography re-establishing method based on a multiplier method. The auto-fluorescence tomography re-establishing method based on the multiplier method comprises the following steps of: carrying out discretization by using a finite element method diffusion equation, and establishing an optimization problem model without constraint conditions based on a penalty term of an L1 norm; obtaining a dual model of the optimization problem model without constraint conditions; establishing an augmentation lagrange function of the dual model; simplifying the maximum function of the augmentation lagrange function; solving the maximum value of the augmentation lagrange function by using a truncated-Newton algorithm; upgrading the target vector by using the gradient of the augmentation lagrange function as the steepest descent direction of a target vector; upgrading a penalty vector; and calculating an objective function value J(w), calculating k=k+1 if the ratio of the norm of J(w)k-J(w)(k-1) to the norm of Pai m being not smaller than t0l is real, and jumping to the step S4, otherwise, ending the calculation, wherein t0l is the convergence efficiency threshold value of the target function. The auto-fluorescence tomography re-establishing method provided by the invention can quickly obtain accurate and reliable light source distribution information within a large image-forming region, so that other parameters except from the regularization parameter can realize self-adaptive adjustment for improving the image-forming robustness.

The invention discloses a dual model fusion-based video behavior segmentation method and apparatus. The method comprises the steps of segmenting a video into clips based on a correlation coefficient between adjacent video frames in the video; for the video frames in the clips, identifying scenes of the video frames to obtain scene eigenvectors; for the video frames in the clips, identifying localbehavior features of the video frames to obtain local behavior eigenvectors; based on the scene eigenvectors and the local behavior eigenvectors, identifying behavior types of the video frames and confidence degrees corresponding to the behavior types; based on the behavior types and the confidence degrees of the video frames of the clips, determining the behavior types of the clips; and combiningthe adjacent clips with the same behavior types to obtain a segmentation result of the video. According to the method, dual models can be fused at the same time; and the overall behavior informationis extracted by comprehensively utilizing two dimensions including the scenes and local behaviors, so that the video is quickly segmented.

The invention provides a method for realizing call when dual-mode mobile phone is caller, comprising that user selects mode A to make a call, a dual-model control module receives the call request, closes mode B protocol stack radio, and sends call request to the protocol stack of mode A, and when the call is end, sending a radio start request to the mode B protocol stack. The invention also provides a method for realizing call when dual-mode mobile phone is called, comprising that the protocol stack of mode A reports an incoming call information, the dual-mode control module closes the protocol stack radio of mode B, and displays the incoming call message to user, and when the call is end, sends a radio start request to the protocol stack of mode B. The inventive method can avoid reduction of service quality or service failure, caused by radio interference and avoid long waiting time for inter-mode conversion.

The invention discloses a dual-model image decision fusion tracking method based on mutual updating of models. The dual-model image decision fusion tracking method based on the mutual updating of the models comprises the steps that according to the characteristics of infrared images and visible images, firstly characteristic description vectors of the infrared images and the characteristic description vectors of the visible images are extracted, so that complementary information can be provided by the characteristic description vectors, and description of the amount of the information of the images can be increased; then, an infrared classifier model and a visible classifier model are established respectively by adopting a GentleAdaboost learning algorithm, and a tracking problem is converted into two classification problems of a target and a background; cooperative training is carried out in a semi-supervised learning frame, mutual model updating is carried out at the same time, and thus the problem of accumulation of model errors is solved effectively; final likelihood images are obtained by using training results and respective confidence coefficients of the training results for carrying out decision fusion, and the position of the target is located in the final likelihood images through a mean value drifting algorithm. The dual-model image decision fusion tracking method based on the mutual updating of the models can effectively solve the problem of tracking missing caused by model error accumulation and the limitation of single-model images in describing the information of the target, and improves tracking robustness.

Provided are common mode filtering method and device for use with a defected ground structure, the device including a substrate, coupled microstrip lines formed on the substrate and a ground plane formed underneath the substrate, the common mode filtering method being characterized by forming at least a defected ground structure on the ground plane and making dual mode signals pass through the coupled microstrip lines, thereby using the defected ground structure to suppress dual model noises within a specific frequency band and prevent signal distortion.

The invention discloses a dual-model fault diagnosis method based on dynamic weighing. The method comprises the steps that sensor vibration signals and fault recording texts collected by a motor driveend under the normal state and various fault states are selected; then,the sensor vibration signals and the fault recording texts are learned,then,a dynamic weighing combination algorithm is adoptedfor giving a weight to a model,sub-model SVM multi-classification voting results are combined,and a final classification result is obtained. Joint diagnosis for bearing fault data and bearing fault texts can be achieved. Non-balanced processing and valuable information extraction and classification are performed on equipment operation data,manual recording experience knowledges are effectively combined for text data mining,compared with a single diagnosis model,the method can remarkably improve the fault diagnosis precision,a better performance evaluation index is obtained,and the good theoretic and application value is obtained.

A comprehensive control method for the temp at the outlet of heating furnace includes the control to the temp of combustion box and the outlet temp of heating furnace by additionally using a pure lagging link between flow regulator and flow regulating valve to eliminate interference and the control to the pressure of fuel oil and / or gas by Bang-Bang+PI dual-model control method. Their signals are transmitted to computer, where they are processed by CALC software to output the signals acting on the gas regulating valve of output temp control system.

The invention relates to a preparation method of a loaded solid catalyst, in particular to a preparation method of a loaded solid catalyst used in deacidification of high-acid-value grease. In the method, a SiO2-based mesoporous molecular sieve with a dual-model duct structure is taken as a carrier; one of super acids such as phosphotungstic acid, phosphomolybdic acid, zirconium phosphate, phosphorus niobate and the like is loaded for serving as an active ingredient; in the deacidification process of high-acid-value waste grease, the acid value can be lowered from initially 30-100 mg KOH / mL to 5-10 mg KOH / mL; and the catalyst has the characteristics of high catalytic activity, easiness for separating and recovering, no corrosion of equipment by a reaction system, environmental friendliness and the like.

The invention discloses a particle filtering video image tracking method based on a dual model, and relates to video image tracking methods. A dual particle filter is built and alternating tracking dynamic models are achieved. One of the particle filters is represented in on-line updating goals of a covariance matrix Riemann flow model and the other one of the particle filters is used for conducting tracking to bounding box parameters of objects in a projection transformation group. Lie algebra and transformation relation of a tangent space of the Lie algebra are adopted by measuring of the filtering parameters, considering the fact that the essence of the process of target-orient imaging is the process of projection transformation, when the particle filtering video image tracking method builds a tracking algorithm based on the particle filtering, a covariance flow model and a projection transformation group (SL (3) group) are combined simultaneously. The particle filtering video image tracking method based on the dual model has the advantages of achieving stable tracking to object with obvious geometric transformation, achieving stable tracking under the condition that changing of light is large, and being good in effectiveness and robustness.

The invention discloses a method for preparing a silica / carbon nanometer material with micropores and ordered mesopores. The method mainly comprises the following steps: dissolving a template agent, sequentially adding resorcinol and formaldehyde, then adding a silane coupling agent, and finally adding ammonium hydroxide so as to obtain gel; crystallizing the obtained gel in a reaction kettle, performing suction filtration, washing to obtain neutral gel, and drying; refluxing the obtained sample, and removing the template agent; adding the sample obtained in the previous step into a tubular furnace, and roasting in an inert gas atmosphere, thereby finally obtaining the silica / carbon nanometer material with micropores and ordered mesopores. According to the method for preparing the silica / carbon nanometer material with micropores and ordered mesopores synthesized and provided in the invention, the prepared material has micro-mesopore dual-model holes. The preparation method has the advantages of simple process, low cost, mesopore orderliness, controllable size, wide distribution range and the like.

The invention discloses a dual-model direct power prediction control method of a three-level grid-connected inverter. Dual-model direct power prediction control is used to adjust the instant active and reactive power of the grid-connected inverter, and a neutral-point voltage is balanced. Dual-model direct power prediction control comprises the steps that two direct power prediction models are established, a sector area of an optimal switching state is obtained, the optimal switching state in the sector area is obtained, and the optimal switching state of the three-level grid-connected inverter is used to control switching devices of the inverter. According to the invention, the algorithmic operand can be reduced, calculating resources are saved, time delay caused by a control algorithm is reduced, and the grid-connected inverter controlled by the method is high in performances.

The invention discloses a robustness determining method and system for a road network dual model. The method includes the following steps that: the road names, road segments and association gatheringareas of all roads are obtained; with the road names adopted as road name nodes, a road name spatial scale model is obtained; with the road segments adopted as road segment nodes, a road segment spatial scale model is obtained; with the association gathering areas adopted as association nodes, an association spatial scale model is obtained; an attack road name spatial scale model, an attack road segment spatial scale model and an attack association spatial scale model are obtained by means of attack; a maximum connected subgraph relative value, a connection efficiency relative value, and a lapnumber rate are calculated, and a robustness evaluation index value is calculated; and the robustness of roads in a study area is determined according to the robustness evaluation index value. According to the robustness determining method and system of the invention, the robustness of the roads is analyzed through multiple spatial scales, and the accuracy of road robustness analysis is improved.

The invention relates to a terahertz / laser lamination detector which includes a microstrip antenna and a detector element. The microstrip antenna includes conductive thin film pasters and metal feeder lines, which are on an insulating dielectric substrate, and a conductive thin film grounding plate beneath the insulating dielectric substrate. One face of the microstrip antenna, attached with the conductive thin film grounding plate, is attached adhesively on the surface of the detector element through an adhesive. The detector element carries out signal output through metal electrodes. Dual-model laminated detection is realized and the detector is compact in structure, small in volume, and simplified in overall structure so that a foundation is laid for wide application of terahertz / laser dual-mode composite detection.

The invention relates to a dual-model dual-standby satellite positioning electronic lock system and an oil tank truck. The system comprises a monitoring center, a vehicle-mounted terminal host and an electronic lead sealing control unit. When the oil tank truck arrives at the destination, a radio frequency read-write module reads an unsealing request of an unsealing card; the vehicle-mounted terminal host uploads the present geographical coordinates through a GPRS / CDMA communication module; and the monitoring center judges that whether the oil tank truck is at the preset geographical coordinates or not, and if yes, sends an unsealing command, that is, the vehicle-mounted terminal host controls an oil outlet opening and closing actuator to open an oil outlet valve after acquiring the unsealing command through the GPRS / CDMA communication module. According to the system, the oil tank truck is effectively monitored in the transport process by the monitoring center, the vehicle-mounted terminal host and the electronic lead sealing control unit, the phenomena of oil stealing and the like are effectively prevented, and the dual-model dual-standby satellite positioning electronic lock system works together with a vehicle stability system and integrates real-time monitoring and security.

A system and method may model physical geological structures. Seismic and geologic data may be accepted. A three-dimensional (3D) transformation may be generated between a 3D present day model having points representing present locations of the physical geological structures and a 3D past depositional model having points representing locations where the physical geological structures were originally deposited. An indication may be accepted to locally change the 3D transformation for a subset of sampling points in a first model of the models. The 3D transformation may be locally changed to fit the updated subset of sampling points. A locally altered or updated version of the first model and, e.g., second model, may be displayed where local changes to the first model are defined by the locally changed 3D transformation. The transformation may also be used to extract geobodies in the past depositional model.

Peer-to-peer communications sessions involve the transmission of one or more data streams from a source to a set of receivers that may redistribute portions of the data stream via a set of routing trees. Achieving a comparatively high, sustainable data rate throughput of the data stream(s) may be difficult due to the large number of available routing trees, as well as pertinent variations in the nature of the communications session (e.g., upload communications caps, network link caps, the presence or absence of helpers, and the full or partial interconnectedness of the network.) The selection of routing trees may be facilitated through the representation of the node set according to a linear programming model, such as a primal model or a linear programming dual model, and iterative processes for applying such models and identifying low-cost routing trees during an iteration.

The invention discloses a system for supporting a mobile terminal to realize dual mode switching. The system comprises an application processor and a baseband processor which are connected with each other, a first mode peripheral group connected with the application processor and a second mode peripheral group connected with the baseband processor; when the mobile terminal is in a first mode, the application processor operates, the baseband processor operates synergistically, the first mode peripheral group is powered on and the second mode peripheral group is powered off; when the mobile terminal is in a second mode, the application processor is dormant, the baseband processor operates independently, the first mode peripheral group is powered off, and the second mode peripheral group is powered on. By virtue of applying the system, a user can switch the first mode and the second mode; when the electric quantity of the mobile terminal is insufficient and basic functions such as communication need to be ensured, the user can switch to the second mode so as to realize the purpose of saving power; when needing to recover the first mode, the user switches to the first mode. The invention also discloses a mobile terminal comprising the system.

The invention discloses a method for improving the communication quality of wireless communication network, which leads voice call out service of a dual-model and dual-stand terminal supporting time division synchronous CDMA (TD-SCDMA) network and GSM network to be launched under the GSM network, and the voice call out service of the dual-model and dual-stand terminal under the TD-SCDMA network is carried out under the GSM network by call transfer. The invention also discloses the dual-model and dual-stand terminal and network equipment. By applying the invention, the advantages of the TD-SCDMA network and GSM network can be fully developed, thus improving the communication quality of the wireless communication network.

The invention relates to the technical field of sintering mixed water adding control, and provides a sintering mixed water adding control method based on dual-model collaborative prediction. The method comprises: firstly, collecting historical data of the sintering, mixing and water adding process to form a historical data set; secondly, preprocessing the historical data set; constructing and training a water adding amount regression prediction model based on the convolutional neural network by taking the blanking amount of each raw material as input and the water adding amount as output; constructing and training a moisture content classification prediction model based on a convolutional neural network by taking the blanking amount and the water adding amount of each raw material as inputand the moisture content category corresponding to the moisture content of the mixture as output; and finally, controlling the water adding amount based on dual-model collaborative prediction: predicting the water adding amount and the moisture content category in real time, and adjusting the next water adding amount according to the predicted value of the moisture content category. According tothe invention, the accuracy of water addition prediction and control can be improved, the moisture content of the mixture is stabilized in the optimal range, and the prediction control efficiency is high.

The invention discloses a dual-mode terminal ability information processing method, a dual-mode terminal and a network side device. The dual-mode terminal ability information processing method comprises the following steps: a first signaling and a second signaling are disposed according to the ability information about two communication modes of the dual-mode terminal, the first signaling consists of complete ability information about one of the communication modes, and the second signaling consists of different ability information about the two communication modes; and the first signaling and the second signaling are reported to the network side to enable the network side to adopt the corresponding ability information to process the dual-model terminal according to the communication modes used by the dual-mode terminal. According to the invention, the two communication modes can be surely understood by a network, a conventional single-mode base station is ensured not to be required to be upgraded, and the terminal can not be processed in a degrading manner; and in addition, under the condition of E-UTRAN, the ability can not be wrongly understood.

The invention discloses a communication method for a dual-model dual-standby terminal and a corresponding communication system, wherein the dual-model dual-standby terminal can be simultaneously accessed to networks of different technologies by using a same card. A dual-model dual-standby terminal attaching method comprises the steps of: in an attaching process of the dual-mode dual-standby terminal capable of accessing two kinds of wireless access networks by using an international mobile subscriber identity (IMSI), after core network equipment receives an attachment request sent by the dual-model dual-standby terminal, carrying the IMSI of the terminal, the position information of the core network equipment and the access type information of the current access in a position updating request message sent to a subscription server, wherein the access type refers to the type of the wireless access network to which the terminal is accessed; and after the subscription server receives the position updating request message, updating the position information of the core network equipment corresponding to the IMSI and the access type information.

The invention discloses a complex visual image reconstruction method based on a depth encoding and decoding dual model and belongs to the visual scene reconstruction technology field in a biomedical image brain decoding. The method is characterized by firstly, collecting and watching functional magnetic resonance signals under a lot of natural images; and then establishing four network models: 1,a coding model, 2, a decoding model, 3, a natural image discrimination model and 4, a visual area response discrimination model, wherein in the coding model, a convolutional neural network is used tocode the natural images into the voxel signals of a visual area; in the decoding model, the convolutional neural network and a deconvolution neural network are used to decode the voxel signals of thevisual area into the natural images; in the natural image discrimination model, true images and false images are discriminated; and in the a visual area response discrimination model, true signals andfalse signals are discriminated. Through training the four designed models, visual scene images can be recovered from a brain signal. In the invention, for the first time, the problem of direct conversion between a natural scene and the brain signal is solved, and the practical application of a brain-computer interface scene can be realized.

The method includes steps: model of learning thesaurus and statistical language from word data not labeled; integrating model of thesaurus, statistical language, and coding information of assistant word into dictionary in small size. Moreover, the invention also discloses an input method in use for user terminal device, and a kind of user terminal device. A dictionary with information of part of speech and dual model of part of speech is loaded to the terminal device. Thus, the user terminal device can give prediction of sentence and word. Using Patricia tree index in dictionary index searches dictionary so as to speed up inputting.