429 results about "Multi aspect" patented technology

Electronic data files are broadly characterized as “messages” and a social network is constructed by analyzing one or more messages exchanged between various entities. Additionally, messages from structured and / or unstructured data stores are correlated using one or more common / related data elements from two or more messages. Further, the social network and the concepts contained in the exchanged messages (i.e. semantic network) can be visualized using a series of multi-aspect viewing tools. Finally, in conjunction with the social network and the semantic network, a message network based on the chronological relationship of the messages (event network) can be constructed to analyze and visualize how the messages relate to each other in a time-based reference model. Once visualized, the relationship of the concepts contained in the messages as well as the relationship between the entities and the timing involved in the exchange of messages can be analyzed for desired information.

A system and method for constructing a hierarchical multi-faceted classification structure includes organizing a plurality of visual categories into a multi-relational reference ontology that accounts for a plurality of different types of relationships. Media artifacts are categorized into the plurality of visual categories. The categories of artifacts are refined based on faceted ontology relationships or constraints from the multi-relational reference ontology. The multi-relational reference ontology and the one or more media artifacts with relationships are stored as the hierarchical multi-faceted classification structure in computer readable memory storage.

The invention relates to a method for realizing data transmission in a TDD multi-carrier system and a device therefor, wherein the method comprises: acquiring capability information of a user terminal; setting a frame structure configuration relationship at the frequency domain and the time domain according to the capability information of the user terminal; and sending an indication signaling to the user terminal and informing the user terminal of business data sending and receiving by adopting the new frame structure configuration relationship. With the adoption of the method and the device, the compatibility of the multi-carrier business data transmission and the existing LTE system can be ensured, and the flexibility of TDD mode in the TDD multi-carrier system can be greatly improved; in addition, the frame structure configuration relationship between an upper line and a lower line can be established due to the capability that the user terminal supports the business, the data volume, the transmitting power, the time delay and the like of the multi-carrier system, so as to send and receive the business data and well support the multi-aspect requirements of the LTE multi-carrier system.

The invention relates to a system for intelligently monitoring and controlling crop pests and diseases. The system is characterized by comprising a monitoring computer and a pesticide spraying device which is arranged in a crop growing place, wherein the monitoring computer drives the pesticide spraying device which is connected with the monitoring computer; a time controller and a pesticide spraying selective driving module are arranged in the monitoring computer; and the time controller controls and starts a corresponding spray head of the pesticide spraying device through the pesticide spraying selective driving module. The system has the following advantages that: 1, intelligentization is realized, the degree of automation is high, the control modes are diversified, the control is performed in time, and the using effect is good; 2, the solar energy is used as a power supply of monitoring equipment, so that the energy-saving effect is good; 3, the monitoring equipment not only can automatically control the water supply or the pesticide spraying of cultivated crops, but also has a multi-aspect management and control ability of controlling pests and diseases of the crops in different areas of the same place; and 4, the health condition of the crops is monitored in real time by using a monitoring probe, so that the crop pests and diseases are pre-warned in time and are controlled appropriately. Therefore, the system is not only favorable for ensuring the growth of the crops and the production bumper harvest of agriculture, forestry and tea industry, but also can greatly reduce medicament waste and pesticide pollution.

The invention discloses a multi-aspect deep learning expression-based image emotion classification method. The method comprises the following steps of: (1) designing an image emotion classification model: the image emotion classification model comprises a parallel convolutional neural network model and a support vector machine classifier which is used for carrying out decision fusion on network features; (2) designing a parallel convolutional neural network structure: the parallel convolutional neural network structure comprises 5 networks with same a structure, and each network comprises 5 convolutional layer groups, a full connection layer and a softmax layer; (3) carrying out significant main body extraction and HSV format conversion on an original image; (4) training the convolutional neural network model; (5) fusing image emotion features learnt and expressed by the plurality of convolutional neural networks, and training the SVM classifier to carry out decision fusion on the image emotion features; and (6) classifying user images by using the trained image emotion classification model so as to realize image emotion classification. According to the method disclosed by the invention, the obtained image emotion classification result accords with the human emotion standard, and the judgement process is free of artificial participation, so that machine-based full-automatic image emotion classification is realized.

The invention provides a method for predicting coke quality through coking coal nonlinear optimization coal blending and provides an important technical guarantee for keeping the stability of coke produced by coke making enterprises and improving the coke quality. The method is characterized in that the indexes of the coke are predicted through a support vector machine technique, a single coal caking property index including two factors, i.e. a gelatinous layer index Y value and a caking index G value, coal blending ratio, a coal and rock index as shown by the accompanying drawing, coking time t and coke oven standard flue temperature T (machine side temperature Tm and coke side temperature Tk) are used as input parameters, then the mechanical strength M40 and M10, the hot performance CRI (Coke Reactivity Index) and CSR (Coke Strength after Reaction) of the coke are used as output parameters, a nonlinear relationship between the input parameters and the output parameters is obtained by training the support vector machine and accordingly the mechanical strength and the hot performance index of the predicted coke are obtained. The method for predicting coke quality through coking coal nonlinear optimization coal blending has the advantages that the influence factors in various aspects in the coke making process are fully considered and the prediction results are enabled to be more scientific and accurate.

The invention provides a control method and a control system for a context awareness mode. The control method for the context awareness mode comprises the following steps: detecting data information of an environment where a user is positioned through a sensor; analyzing the data information detected by the sensor and judging the environment where the user is positioned; and executing a corresponding action according to the information of the environment where the user is positioned obtained through judgment. According to the control method for the context awareness mode provided by the invention, the environment where a current user is positioned and a motion state are sensed through the sensor, and relevant execution actions of starting a contextual model, a prompting function and the like are performed, so that a multi-aspect convenient and efficient intelligent service system is provided for the user.

The invention discloses a method and a device for judging comprehensive priority of a mobile communication system. The method includes the following steps: service QoS parameters of each service and user call type parameters of the service are searched; static comprehensive priority of each service is calculated according to service attribute and the user call type; and dynamic comprehensive priority value of each service is obtained by calculation by combining with multi-aspect factors such as network, service and user. According to the network condition, the algorithm of static or dynamic comprehensive priority is properly selected as the judgment basis of the service access service. The method and device for judging comprehensive priority of the mobile communication system provided in the invention comprehensively considers multi-aspect factors, provides and establishes static and dynamic comprehensive priority systems, and can carry out flexible and accurate tracking judgment on user service priority, thereby guaranteeing the comprehensive efficiency of the mobile communication system to be optimum and meeting the requirements of each party in the mobile communication system.

Three-dimensional imaging without parallax barriers or specialized eye gear, and without attendant loss of resolution, is provided by a display that produces dynamic images for display on at least two stacked electronic transmissive displays to create a continuous 3-D image field in a large viewing area or in multiple viewing areas. The images on each display are derived from stereoscopic image sources corresponding to both eyes of a viewer, and the derived images act as a mask for each other causing 3-D perception. The derived images are processed by summing the predicted image data, comparing the predicted image data to the desired stereopair, and minimizing the error. In preferred embodiments, the processing can be performed by an artificial neural network. A viewer may be presented with different aspects of an image as their viewing position changes to allow the viewer to perceive various perspectives of an image in dynamic fashion.

The invention provides an identity identification method and device for suspects based on large video data. The identity identification method comprises the following steps: receiving suspect characteristic information transmitted by a user; carrying out cluster retrieval on a moving target which is matched with the suspect characteristic information from a moving target characteristic database, and extracting characteristic information which is corresponding to the moving target; obtaining base station data corresponding to the characteristic information within a motion range according to the extracted characteristic information; extracting suspect identity information matched with the moving target from an identity information platform device according to the base station data corresponding to the characteristic information within the motion range. The identity identification method is combined with multi-aspect resources of the moving target characteristic database, the base station data, resident population data in the identity information platform device and the like to carry out comprehensive collision retrieval, so that accurate video suspect identity information can be obtained to greatly improve the accuracy and success rate of the suspect identity information identification; furthermore, a large data analysis and processing technology is used, so that a large number of high-speed changeable complex scenes can be dealt, and the timeliness is better.

The invention relates to a supply chain management method. RFID (Radio Frequency IDentification) and a smart contract technology in a blockchain are mainly used for realizing multi-link fund and information flow management to which practical supply chain management relates; one commodity finishes a quick upper-chain operation in information including production, transportation, warehousing, selling and the like in a supply chain link on the basis of the RFID technology; and the blockchain is taken as a bottom layer distributed account book, the safe upper-chain storage of commodity data is realized through the characteristics of no tampering and integral and accurate data, a consumer can conveniently, quickly and accurately trace all information to which the commodity relates in the supplychain when disputes happen or commodity information needs to be checked, and the traceability, the verification and multi-aspect unification and transparency of the data of each link of the commoditycan be realized.

The embodiment of the invention provides a depth image calibration method and system for a TOF camera system, and the method comprises the steps: obtaining a corresponding depth image according to anoriginal phase image collected by the time-of-flight TOF camera system; And respectively carrying out geometric correction, time domain noise reduction and spatial domain noise reduction processing, FPPN correction, Wiggling correction and temperature error compensation on the depth image to obtain a calibrated depth image. multi-aspect calibration is carried out on a depth image; geometric correction, time domain noise reduction and spatial domain noise reduction processing, FPPN correction, Wigning correction and temperature error compensation are carried out, errors introduced from multipleaspects are eliminated, a calibrated depth image is obtained, so that the measurement error is greatly reduced, the reliability of the finally obtained depth image is greatly enhanced, and the methodcan be further applied to various depth applications.

The invention provides a comprehensive detection method and a system for page tampering. The method includes acquiring attribute information of a current detected page; determining whether the attribute information of the current detected page matches with a prestored malicious attribute rule, if no, performing page element matching, page change rate and page content detections respectively on the current detected page, and determining whether the current detected page is a suspected tampering page according to the results of the page element matching, page change rate and page content detections; and determining the current detected page to be a tampering page if the current detected page is determined to be a suspected tampering page according to at least two detection results. According to the method and the system, multi-aspect and multi-angle detection can be performed on pages, therefore false and negative reports for page tampering are reduced, and the detection result of the page tampering can be more accurate.

The invention provides a remote monitoring and control system for an industrial manipulator based on the Internet, and the system controls an industrial manipulator executing mechanism to execute construction operation through an intelligent hand-held control terminal, takes a data server as an interconnecting center for building the remote internet communication channel among the intelligent hand-held control terminal, a video monitoring mechanism, and a remote mobile terminal, achieves the operation of the industrial manipulator through the Internet of Things, achieves the multi-aspect information interaction between a remote place and the industrial manipulator construction site, and provides a favorable system technical conditions for the inspection and maintenance of the industrial manipulator. Meanwhile, the system also can achieve the miniaturization and light weight of the intelligent hand-held control terminal based on the embedded system technology, reduces the faults and accidents because of the misoperation of the industrial manipulator, also can integrate a function of voice communication and functions of abnormality detection, alarm and emergent braking and control of the industrial manipulator executing mechanism, facilitates the improvement of the production and efficiency of the industrial manipulator, reduces the economic loss caused by a fault.

The present invention relates to the fields of imaging systems, security screenings, contraband object detection, microwave screening, millimeter wave screening and Terahertz screening. The present invention especially relates to a camera assisted sensor imaging system and a multi aspect imaging system.The camera assisted sensor imaging system according to the present invention comprises an optical and / or infrared camera unit for generating camera image information, a processing and control unit for detecting targets based on the generated camera image information, and a sensor unit adapted to successively scan portions of a detected target and to generate a plurality of corresponding image information parts, whereby the sensor unit is operable in the microwave, millimeter wave and / or Terahertz frequency range, and the processing and control unit is further adapted to construct an image of the target based on the image information parts and based on the generated camera image information.The multi aspect imaging system according to the present invention comprises one or more reflective elements and a sensor section operable in the microwave, millimeter wave and / or Terahertz frequency range. The sensor section is adapted to scan a first and a second aspect of a target, whereby the second aspect is scanned via a reflective element and the second aspect is scanned directly or via another reflective element.

The invention provides a method and device for managing procedures in a mobile terminal and the mobile terminal. The method includes the steps of obtaining the at least one procedure operated by the mobile terminal in the screen locking state, and respectively monitoring behavior characteristics of the at least one procedure in the screen locking state; respectively generating processing prompt information according to the behavior characteristics of the at least one procedure in the screen locking state; displaying the processing prompt information in the mobile terminal after the screen locking state of the mobile terminal is relieved; receiving a setting command on the processing prompt information; when the mobile terminal gets into the screen locking state again, clearing the procedures operated in the mobile terminal according to the setting command. By means of the method for managing the procedures in the mobile terminal, the procedures required to be cleaned can be effectively cleared, omissions can be avoided, the procedures required by a user cannot be cleared in a mistake mode, and the multi-aspect requirements of the user for saving the system resource and the electric quantity and being convenient to use can be met.

The invention discloses a test system and a test method for a solar heat collector. The test system and the test method adopt a closed cycle system to solve the problem that the test temperature of the prior test system is low, adopt multi-aspect data acquisition and control, and are easy to control and acquire test parameters.

The invention relates to a student training management method and system. The student training management system comprises a course management module and an examination management module. The student training management system is characterized in that basic management information is firstly set, then course selection management and teaching and training plan management are achieved through the course management module, and training schemes are determined. The examination management module is used for achieving local-university examination management, social examination management and variable examination management and inputting and checking examination results, and students can carry out multi-aspect evaluation on courses, teaching and teachers through teaching evaluation management.

The invention discloses dynamic processor adjustment method and device and a processor chip. Multi-direction processor information can be combined for dynamic adjustment; maximum working frequency isobtained through current working status data of a processor; An expectation task amount is combined to obtain a task amount evaluation parameter, and then weighting task amount parameters are obtained; optimal working frequency is obtained through comparing the task amount evaluation parameter with the weighting task amount parameters; and the optimal working frequency is written into the processor to realize frequency adjustment. Various sensors are utilized to collect different sensor information, a current working condition of the processor is acquired, dynamic workload status of the processor is combined to comprehensively evaluate current working status of the processor, composite status reflecting multi-aspect information of the processor is utilized to dynamically adjust working frequency and voltage of the processor, and thus performance and power consumption of the processor are better balanced.

The invention discloses a comprehensive management system for conserving energy and reducing consumption of power distribution grid based on multi-agent and management method thereof, which can achieve interaction and cooperation among agents of each energy-conserving equipment and reduce the mutual influence of the energy-conserving equipments by coordinating tasks and disassembling agents. The invention can consider the overall factors causing electric energy loss of the power distribution loss and solve the coupling effect among the factors, thus simplifying the entire system and reducing the mutual influence of the energy saving equipments. According to the condition of isolated islands of power distribution network data and in the highly distributing and heterogeneous environment of each information system, the invention can achieve the interconnection, interoperation and inter-coordination of distributed operation platforms of the power distribution network in a high-efficiency manner, thus achieving full-azimuth and multi-aspect comprehensive energy conservation and consumption reduction of the power distribution network.

The invention relates to a novel transformer state estimation method based on field-circuit coupling analysis. The method comprises steps as follows: a transformer model is established, and a transformer electromagnetic field is analyzed with a finite element method; a working state of a system where a transformer is located is analyzed and is equivalent to a lumped parameter circuit model in a corresponding state, and circuit analysis is performed; a field-circuit coupling mathematical model of the transformer is obtained on the basis of electromagnetic field analysis and circuit analysis; finite element software is adopted for calculation, a vector magnetic potential A of each node in solution space of the transformer is obtained, other physical quantities such as winding current, impedance and the like of the transformer are solved, and electromagnetic field distribution of the transformer, electromagnetic force borne by a winding and loss of all parts of the transformer are obtained; loss values of all parts of the transformer are taken as heat sources to be loaded to a transformer temperature field model, and transformer temperature field distribution is obtained with a finite volume method. Therefore, estimating analysis of multi-aspect states such as the electromagnetic field distribution of the transformer, the electromagnetic force borne by the winding, temperature field distribution and the like when an electric power system is in different states is realized, basis is provided for overhauling and maintaining work of the transformer, and the working efficiency is improved.

The invention relates to a service node fault self-healing method, a device, computer equipment and a storage medium. The method comprises the steps: obtaining monitoring data of a service node, loadbalancing equipment and service distribution, so as to form to-be-analyzed data; performing intelligent analysis according to the to-be-analyzed data, and judging whether a fault problem exists or not; if yes, a fault point corresponding to the fault problem is obtained, and corresponding alarm information is sent; performing self-healing repair on the fault point to obtain a repair result; acknowledging repair results. According to the invention, multi-aspect detection is carried out on the service nodes, the system and the database. When a fault problem occurs, a corresponding self-healing script is automatically called. The self-healing script is remotely executed to self-heal and repair the fault problem. The fault analysis tree model is generated according to the repair result. The subsequent nodes can perform self-learning repair according to the fault analysis tree model. The health state of the service nodes is detected in real time. The service nodes with faults are subjectedto self-healing repair to ensure that the user request can quickly respond.

The invention provides a multi-feature content-based image retrieval method and system. The multi-feature content-based image retrieval method comprises the steps that according to various single low-layer features of images which are obtained through extraction and serve as retrieval terms, image retrieval is executed on the basis of normalization similarity measurements according to the various single low-layer features so that corresponding single low-layer features of various stored images can be matched with the obtained single low-layer features respectively; image results obtained through retrieval are ordered in a unified mode and output on the basis of total similarity measurements of the image results obtained through retrieval. In this way, the effect that in the content-based image retrieval process, combination of multiple low-layer features is optimized in the linear weighting mode of unifying the similarity measurements of all the low-layer features is achieved, the recall factor and the pertinency factor are increased, and multi-aspect actual requirements of users for content-based image retrieval are better met.

The invention discloses a homogeneous metal organic framework material. The homogeneous metal organic framework material is a micro-metallic organic framework material with a three-dimensional structure is formed by coordinating divalent metal ions with carboxyl on an organic ligand. The structural formula of the homogeneous metal organic framework material is [M2(C30H10N2O12)(H2O)2](C3H7NO)5(H2O)3. The homogeneous metal organic framework material is characterized in that memory storage of ethylene is increased by using strategies of introducing functional groups into the metal organic framework to form open metal site or adjusting the sizes of apertures / windows and the like. Based on the principle, the brand-new metal organic framework material is synthesized and has the advantages of simple preparation process, low cost, extremely-high C2H4 / N2 selective separation and adsorption properties, relatively-low isothermal adsorption enthalpy and low repeated use cost; multi-aspect requirements of an application field on a C2H4 / N2 selective separation and adsorption material can be greatly met; the homogeneous metal organic framework material has great application prospect in the fieldof C2H4 / N2 selective separation and adsorption and recycling of C2H4 in tail gas in a high density polyethylene device.

The invention relates to a loan vehicle fraud aggregation early warning system and method. Driving information, including driving latitude and longitude coordinate information and driving communication time information, of an automobile is acquired in real time through a GPS satellite positioning device installed in the automobile and the information is transmitted to a network communication module, and the information is transmitted to an automobile inspection platform service system to be processed through a GPRS wireless network; the driving information is analyzed through an LBS database, and the possibility of fraud aggregation is judged according to the driving latitude and longitude coordinates of the automobile, the aggregation range of the automobile, the aggregation time and duration of the automobile and the working state of the GPS satellite positioning device so that early warning information is formed and the early warning content is pushed; besides, sensitive words like "automobile repair" are also found through address inquiring to assist judgment so that financing institutions are enabled to perform multi-aspect detection and analysis on the loan automobile, the accuracy of analysis can be realized, the dangerous automobiles are focused in advance, real-time monitoring and real-time early warning of loan vehicle fraud aggregation can be performed and thus the economic risk can be reduced.

The present invention discloses an integration technics with anti-penetration and distillation to recycle a glycerin in low-concentration sweet water. The steps for the present invention are as follows: (1) the pH value for the low-concentration sweet water is adjusted to litmusless by using of a neutralization agent, and then a flocculating agent is added into the sweet water; after being deposited, the mixture is to be filtered; (2) the filter liquid is condensed into a condensing liquid through an anti-penetration film component in the pressure of 1-8MPa; the condensing liquid is vaporized with multi-aspects to get rid of water and part of salt; and then a coarse glycerin; (3) the coarse glycerin is decompressed, distilled, ion-exchanged with resin refining in a mixing bed, and decolored with an active carbon to create the glycerin product with the purity more than 98.5 percent. The present invention can be used in medicine industry and foodstuff industry and so on. The technics has the advantages of low resource consumption, large treatment quantity and low cost and so on. The present invention can not only bring much better economical benefit by changing uselessness into usefulness, but also has greater environmental and social benefit.

The invention discloses a method for auditing resources of a cloud platform. The method comprises the following steps: capturing key data contained in the resources to be audited, wherein the key data comprises the content; performing illegal content detection on the content in parallel by utilizing a signature matching algorithm, an identification matching algorithm and a dynamic characteristic analysis method; if the detection is passed completely, allowing the resources to be shared, if not, forbidding the resources to be shared. Multi-aspect security and legality auditing is performed on the resources / content provide by each terminal, and the updating of the service is monitored in the whole life, so that the security and legality of the resources in the cloud platform are ensured, and absolutely original, legal and secure resources and a good cloud platform environment are provided for all users.

The invention provides a fermentation technology of low-salt fermented bean curd. The fermentation technology comprises the following steps: base preparing, inoculating and cultivating, spraying, pre-fermenting, hair-rubbing and pickling, and soup-filling. According to the technology, the bases are prepared by steam-boiling of soybean slurry; a mixed spore suspension of hair mould and Rhizopus oryzae is utilized in grafting; table salt is used for hair-rubbing and curing of the bean-curd white bases, wherein the weight of the table salt is 10-14% that of the bean-curd white bases; and alcohol with the alcoholicity being 16-20% is used for soup-filling. The fermented bean curd is prepared under multi-aspect coordinated actions, so that the prepared final products are small in individual difference and batch difference. The prepared low-salt fermented bean curd is good in appearance and taste and is not prone to deterioration.

An automatic journalizing method and system enable even a novice in accounting to conduct automatic journalizing of transaction data by employing a reverse-journalizing technique. Further, the automatic journalizing method and system are capable of conducting exact journalizing by using preset binary transaction classification criteria. Further, by integrating multi-aspects of transaction classification including fundamental characteristics of transaction, original characteristics of journalizing and simplicity / complicacy characteristics of transaction, the automatic journalizing method and system allow even the novice to correctly perform automatic journalizing for both a simple and a complex transaction.