350 results about "Isomerisms" patented technology

Provided are a distributed load balancing system and a distributed load balancing method based on the peer to peer (P2P) technology. The system is composed of a distributed processing cluster with the load balancing function. A plurality of isomorphism or isomerism processing nodes formed by processing layers and communication layers and distributed in different servers are arranged in the cluster. Each processing node can independently bear the distributed arbitral load balancing function, the authority limits and the functions are identical, and only incident processing speeds are different. When a client transmits mass data processing requests in real time to the distributed processing cluster, one processing node packages the generated middle result as the incident and transmits the incident to other processing nodes to be processed after the processing node finishes request processing. The processing nodes adopt the distributed load balancing method to ensure load balancing of incident distribution in the whole incident distribution process till the final results is generated and returned to the client. The system and the method effectively avoid load balancing with single point failure and are capable of achieving load balancing with node dynamic change in a distributed cluster system.

The invention discloses a method for constructing a cardiovascular disease diagnosis model, a system and the diagnosis model. The cascade classifier is trained to get the ear detection model. VGG, GoogleNet and ResNet neural network models are used to extract ear features. The spatial pyramid is used to integrate the features of ear extracted from neural network model, and the depth heterogeneousfeature map of each neural network model is obtained. Feature preprocessing of depth isomerism feature map; Training to obtain SVM classifier model; The SVM classifier model and the three trained neural network models are integrated by Bagging learning to obtain the cardiovascular disease diagnosis model. The cardiovascular disease diagnosis model constructed by the invention can comprehensively and scientifically carry out cardiovascular disease diagnosis and prediction, has high precision, and can be widely applied in the field of automatic processing of medical data.

The invention belongs to the cross-media information technology field and particularly is an image optimization clustering method based on the typical correlation analysis. The invention mainly adopts the typical correlation to analyze while considering content characteristics of media data in various modes, maps the characteristics of the media data in various modes to an isomorphism sub-space of a united dimension through the sub-space mapping algorithm and obtains the final clustering result through optimizing clustering algorithm. The invention overcomes single-mode characteristic limitation in the multimedia field where only data is used, effectively solves the isomerism problem of the media data in various modes on the bottom layer characteristics, realizes the united measurement of the media object information between various modes, obtains results which are more accurate, more effective and more comforted to the needs in the large scale image data and has a wide application value in the cross-media processing and the retrieval field.

The invention discloses a multispectral light-field imaging method. The adopted hardware comprises a wideband filter array, an isomerism camera array, a control panel array and an information joint processing device, wherein the wideband filter array, the isomerism camera array, the control panel array and the information joint processing device are arranged in sequence in the light path direction. The imaging method comprises the steps of placing wideband filters with different wavelengths among each camera lens and sensor of the isomerism camera array so that each camera in the isomerism camera array can receive spectral information with a fixed waveband ; using the information joint processing device to conduct stereo matching based on a convolutional neural network on multipath information obtained by the camera array to obtain angular information of incident ray and obtain optical field information within a full field range; conducting camera calibration and view field aligning on distribution positions of cameras, and obtaining multi-waveband spectral information of which the number is three times the number of cameras under any camera perspective in the camera array through spectral demultiplexing. According to the multispectral light-field imaging method, multispectral optical field information of each pixel with the full field range can be obtained simultaneously, and thus dynamic and united obtaining of optical field and spectral information is achieved.

The invention discloses a two-stage isomerism clustering underwater wireless sensor network and a routing method of the underwater wireless sensor network. The two-stage isomerism clustering underwater wireless sensor network comprises upper-layer sensor nodes, lower-layer sensor nodes, an offshore sink node and a base station on land. All the sensor nodes in a monitoring region of the underwater wireless sensor network form a two-stage isomerism clustering structure. The lower-layer sensor nodes form first-stage clusters and first-stage cluster head nodes. The upper-layer sensor nodes form second-stage clusters and a dynamic cluster head chain. Second-stage cluster head nodes transmit data to the offshore sink node through the dynamic cluster head chain. The offshore sink node is in direct wireless communication with the base station on land, and then the base station transmits the data to a remote control center. Through the method, average energy consumption of the nodes can be effectively reduced, the survival time of the network can be prolonged, and the underwater wireless sensor network is suitable for monitoring an underwater application environment with numerous nodes, high in expandability, more balanced in node energy consumption and suitable for large-scale application.

The invention discloses a method for managing multisource-isomerism aviation remote sensing data, which comprises the following steps: (1) using geographic regions and production engineering as units so as to realize aviation remote sensing data storage and management; and realizing high-efficient data storage and management served for aviation remote sensing data products by technologies such as tiles and the like; and (2) using a method for dynamically generating a continuous detail level model, establishing a corresponding high-efficient mechanism, and realizing three-dimensional visual issuing and sharing of the aviation remote sensing data products automatically and high-efficiently. According to the invention, the method effectively solves integrated storage and management problems of multisource, multi-time-phase, isomerism aviation remote sensing data in a digital aviation photography measurement producing system.

The invention relates to the research of an energy consumption balancing method of isomerism wireless sensor network unequal clustering. The energy consumption balancing method of isomerism wireless sensor network unequal clustering comprises the following steps that candidate cluster heads run for a cluster head according to the distances between the candidate cluster heads and a base station in different radiuses, and a cluster head in the next round is selected by a current cluster head in a cluster, and the cluster head uses an optimal hop count to forward data to the base station according to the distance between the cluster head and the base station. According to the energy consumption balancing method of isomerism wireless sensor network unequal clustering, an isomerism wireless sensor network node energy consumption model is used, the entirely-distributed stable unequal clustering balancing method is proposed, remaining energy of a node and the distances from the node to other nodes in a competitive radius are synthesized in the cluster head selection method, communication cost of the nodes in the cluster is obtained through calculation, the nodes run for the cluster head according to own communication cost to enable the number of the cluster heads to be stable in a stable period, node energy consumption is balanced, and the stable working period of the network is effectively prolonged.

The invention discloses a universal wireless sensor network system and an information processing method thereof, belonging to the technical field of sensing networks and the Internet of things. The universal wireless sensor network system comprises one or more sensor subnetworks, an information converging network and a sensing access network, wherein the one or more sensor subnetworks consist of sensor nodes; the information converging network consists of information converging nodes; each information converging node is used for accessing one or more same or different sensor nodes so as to obtain the sensing information of the sensor nodes; the sensing access network consists of access converging nodes; and each access converging node is used for accessing one or more information converging nodes so as to obtain the information of the information converging nodes. According to the invention, the unification of networking modes is realized so as to achieve the effect of compatibility of multiple sensor networks; and the system and the method can be applied to any one or more sensor network environments, and are especially suitable for a comprehensive application context of a large-scale isomerism sensing network similar to the Internet of things.

The invention provides a catalyst for reaction of preparing aviation kerosene by castor oil through hydrogenation and a preparation condition of the catalyst. Modified MCM-41, SBA-15 and the like are used as the carrier of a hydro-de-oxygenation catalyst, and one selected from Ni, Ni2P, Co, CoP and Pt is used as an active component; modified SAPO-11, SAPO-34 and the like are used as the carrier of a hydrogenation isomerism catalyst, and one or two selected from Ni, Ag, Pd and Ru is/are used as the active component; the catalyst for the action of preparing the aviation kerosene by the castor oil through a one-step method is characterized in that with one or more selected from modified USY, a beta-type molecular sieve, an X-type molecular sieve and ZSM-5 as the carrier and Ni and Cu as active components or Ni2P and Cu3P as the active components, under a proper reaction condition, the aviation kerosene which meets the need of the operation conditions is prepared.

The invention provides a collocation method and a member device of a stack logic interface. The member device in a stack system builds the received stack physical interface of neighbor discovery message of the same MAC address into a stack logic interface; the member device elects expectant primary device in the stack system according to preset election rules; the member device receives a topology collection message sent by the expectant primary device, the stack logic interface attribute message which is used by the topology collection message is sent by the expectant primary device which is carried in the topology collection message to realize the self stack logic interface attribute configuration. The invention can avoid stack isomerism problem caused by artificial incorrect operation, saves human resource and is more convenient to be realized.

The invention discloses an open and distributed system resource management and task scheduling system and an open and distributed system resource management and task scheduling method. The open and distributed system resource management and task scheduling system comprises a task manager, a resource policy optimization scheduler, a resource manager and a plurality of node managers. A central scheduling function is simplified, the problem that in the prior art a resource management and scheduling system is relatively hard to directly use in an isomerism hardware environment to manage and execute isomerism tasks is solved, a frame for managing isomerism hardware resources and scheduling and executing the isomerism tasks is provided, and dynamic variation of hardware resources and scheduling management of different types of tasks can be supported.

The invention discloses a ground three-dimensional laser point cloud and ground penetrating radar image fusion method. On the basis of ground penetrating radar image and GPS data synchronization acquisition, an improved electromagnetic wave path propagation model is used for realizing time-depth conversion of the ground penetrating radar image, with a coordinate system of the ground three-dimensional laser data as reference, a geo reference absolute positioning equation is combined to convert two-different source isomerism data to the same coordinate system, and data fusion is realized. According to data features of a ground three-dimensional laser scanner and the ground penetrating radar, a three-dimensional laser point cloud and ground penetrating radar image fusion method is provided. The experiment result and error analysis prove that the process is simple, the fusion precision is high, and the adaptability is wide. Differences between resolutions and data amounts of the two-different source isomerism data are overcome, advantages of each of the three-dimensional laser scanner and the ground penetrating radar are executed thoroughly, and effective fusion of two different typesof data is realized.

The invention discloses a method and a device for identifying isomerism graph and property corresponding to a molecular space structure, and machine equipment. The method comprises the following steps: carrying out feature description containing a topological structure on a heterogeneous graph to generate feature information; through sampling the isomerism graph and the feature information, generating a feature vector, corresponding to a key node, on a topological structure contained in the isomerism graph; performing aggregation processing on the feature vectors to generate graph representation vectors corresponding to the isomerism graphs; and according to the graph representation vector, performing classification processing on the isomerism graph to obtain a classification prediction result. Therefore, the identification of the graphical representation corresponding to the heterogeneous graph, such as the molecular spatial structure, can be realized through the neural network, the analysis and processing performance related to the isomerism graph is effectively improved, the neural network is not limited to the classification and identification of network data any more, and the application scene is greatly expanded.

The invention provides a natural gas pipeline tiny leakage detection method based on a sound signals. By taking the sound signal fluctuating most intensely during pipeline tiny leakage as a main signal, and temperature, pressure and flow rate signals as secondary signals, a deep convolution neural net based on multiparameter is established, and the probability of tiny leakage of a natural gas pipeline is determined through studying data of the main signal and the secondary signals; in addition, a deep restricted boltzmann machine model is designed specifically for the isomerism of multiparameter data, the multiparameter data is subjected to pre-training, an optimal weight value matrix and an optimal offset value are obtained and act as a weight initial value and an offset value initial value of a deep convolution neural net model. With the adoption of the method, an accuracy rate of pipeline tiny leakage accident judgment is increased greatly, the probability of a large safety accident is reduced, and the rescue efficiency of a natural gas pipeline accident is improved.

The invention relates to a purification process for producing C4 materials in an oil refinery, which comprises the following steps in any order to produce the C4 materials in the oil refinery: a, passing through a fibrous membrane reactor taking alkaline solution as working solution; b, passing through refined desulfurization reactor with a refined desulfurizer; c, passing through a hydrogenationbutadiene removal reactor with a noble metal selective hydrogenation catalyst; d, passing through an arsenic and phosphorus removal reactor with an arsenic and phosphorus removal agent; e, passing through a dechlorinating reactor with a dechlorinating agent; and f, passing through an oxygen-containing and nitrogen-containing compound removal reactor with oxygen-containing and nitrogen-containing compounds. After being purified by the process, the C4 materials etherified in the oil refinery can meet the requirements of the process for producing the isobutene by the butylene isomerism and catalysts.

The invention provides a preparation method and application of allulose. The preparation method comprises the following step: by adopting glucose as a raw material and adopting molybdate as a catalyst, performing catalytic conversion, separation and purification to obtain allulose with corresponding configuration. The method provided by the invention mainly comprises the following step: by adopting a chemical method, preparing a crystal allulose product by virtue of working procedures such as chemical differential phase isomerism, refined chromatography separation and purification, concentration and crystallization and the like by adopting glucose as the raw material. The preparation method provided by the invention is simple in process, short in time consumption, high in reaction speed and high in efficiency, and the problems that a conventional enzymatic method for preparing D-allulose products is poor in enzyme stability and low in efficiency and the like can be solved.

The invention discloses a zinc floatation state dividing method based on isomerism textural features. Zinc floatation image textural features are extracted by combining a gray-level co-occurrence matrix algorithm which has a good effect on high-frequency band textural features and a Gauss Markov random field algorithm which has a good modeling effect on low-and-medium-frequency texture images, and the zinc floatation image textural features are subjected to Gauss normalization to serve as a textural feature vector. In an integrated clustering algorithm, partitional clustering with high efficiency is conducted firstly to eliminate the influences of noise points and outliers, then a hierarchical clustering algorithm with high clustering quality and high stability is adopted to combine clustering centers output through partitional clustering, and then a final clustering result is obtained. Experiments prove that the extracted textural feature quantity has high mode separability, and foam in different states can be distinguished with the integrated clustering algorithm; furthermore, the method can be directly realized on a computer and is low in cost, high in efficiency and easy to implement.

The invention relates to a remote sensing estimation method of a biological bearing capacity. The remote sensing estimation method comprises the following steps: constructing a biological bearing capacity index evaluation system; establishing corresponding index layers from three aspects including jamming intensity, a biological system state and human responding respectively; collecting basic information; constructing a vegetation coverage database; taking administrative division and a water collection unit as evaluation units respectively based on basic data, a soil utilization classification chart and vegetation coverage; and carrying out biological bearing capacity single-index estimation. Each single index is subjected to weight factor determination by using an analytic hierarchy process, and biological bearing capacity comprehensive evaluation is carried out. A quantitative remote sensing coupling concept is utilized and space isomerism is considered; a region difference of a region to be estimated is represented; the biological bearing capacity index evaluation system is constructed so that digitalization of a compound biological system is realized; the biological bearing capacity evaluation of the region to be estimated can be rapidly and comprehensively realized.

The invention provides a grain bin intelligent sensor integration terminal which mainly comprises a service management unit, a service unit, an information analyzing unit and a hardware driving layer unit. The service management unit is capable of receiving business data which is reported by the service unit. Business rule can be configured by a rule engine, and the business rule is used for carrying out initial processing to the business data. Data with business characteristics is formed, and control requests of all hardware equipment are issued to the service unit. The information analyzing unit is used for receiving the business data of specific services from all hardware equipment, wherein the business data of the specific services from all the hardware equipment are sent by the hardware driving layer unit. After the business data with different message formats is carried out analyzing through an isomerism integrated technology, the business data is converted to business data with the unified message protocol format. The grain bin intelligent sensor integration terminal is capable of carrying out the operation such as the unified data collection and management control to all kinds of sensors and control equipment in the grain bin and achieving autonomous gang control among the sensors and the controllable equipment.

The invention relates to a hot backup redundant signal system with system-level isomerism. The system comprises a CBTC system, a TBTC system and switching units, wherein the CBTC and the TBTC are in communication connection with a train by the switching units respectively; under normal work of the system, the CBTC will be in communication connection with the train by the switching unit, and functional commands received by the train come from the CBTC; and when the CBTC fails, the TBTC will be in communication connection with the train by the switching unit, functional commands received by the train come from TBTC vehicle-mounted equipment, and the system can execute switching automatically. In comparison with the prior art, the system provided by the invention has the advantages that the system usability is enhanced, influences of failures on operation are reduced, etc.

The present invention relates to a catalyst selective hydrogenation and mono-olefin isomerization. Its carrier is aluminium oxide, and its active composition contains palladium. It is characterized by that specific surface area of said catalyst is 80-120 sq.m/g, and its specific pure volume is 0.4-0.8 ml/g. The weight percentage contents of active components are Pd 0.2-0.3%, adjuvant X, 1-5% and ajuvant X2 0-5%, in which X, is one or several kinds selected from B, P and Si, and X2 is one or several kinds selected from first main group elements and second main group elements. Besides, said invention also provides the preparation method of said catalyst and its application.

This invention relates to image process technique, and especially to an automatic division of brain blood shortage area based on multiple-size statistic sorting and local container sorting method, which comprises the following steps: to valuate the DTI image spreading value and direction isomerism; second to computer the size space; third to sort the multiple size; fourth to sort the local container. This invention is of high application value in medical assistant dialogue system, medical image three-dimensional recreation system and clinic disease qualitatively diagnose analysis.

The invention provides a ground test system and a ground test method targeting to space application isomerism IMU initial alignment. A plurality of sets of isomerism IMUs with different systems are simultaneously mounted on a three-axis rotary table; the rotary table is driven to realize a maneuvering process of an aircraft where the IMUs are mounted; and an inertia posture of the aircraft is calculated by a remote terminal through using postures, relative to an east, north and up geographic coordinate system, of a rotary table frame angle and the rotary table, and a posture, relative to an instant solidification inertia system, of the east, north and up geographic coordinate system. After a GNC controller is subjected to time calibration, the inertia posture is sent to the GNC controller in real time. Output data of the IMUs are collected by the GNC data; meanwhile, inertia posture data are obtained; and an on-planet alignment procedure is operated to carry out alignment calculation so that the data obtained by the GNC controller are consistent with an actual on-orbit flying process. An external optical collimation calibration subsystem is used for obtaining an alignment parameter real value and an alignment result of an on-planet system is estimated. The reality of simulating an alignment process is high, ground tests of a plurality of alignment methods can be adapted, and the project is easy to realize.