833results about How to "Reduce blindness" patented technology

The subject matter of this specification can be embodied in, among other things, a method that receives at a server a first request to rebroadcast a first sponsored content item that was displayed on the social network to the first user to a second user. A second request to display at least one sponsored content item to the second user when the second user accesses an electronic document associated with the social network is received at the server. The first sponsored content item is retrieved for rebroadcast from one or more sponsored content items indicated for rebroadcast to the second user. The first sponsored content item is output to the second user of the social network in response to the second request to display and without requiring the second user to select the first sponsored content item for display.

A hand-held digital camera for obtaining images of a portion of a patient's body and having a hand-held housing, a visible light source located within the housing for providing light along an illumination path from the housing aperture to the patient's body, an image sensor located within the housing that detects light returning from the patient's body along an imaging path that passes into the housing aperture, an optical system located within the housing with separate illumination and imaging paths, an external optical aperture common to the illumination and imaging systems, wherein the illumination and imaging sub-apertures are wholly contained within the common external aperture, are longitudinally coincident, and are laterally separated and non-overlapping, a digital memory device for storing captured images, an output display carried by the housing, and the ability to electronically transmit stored images. The camera can be used for retinal imaging and for otoscopy.

The invention discloses a cascade reservoir multi-objective optimization scheduling method based on an improved artificial bee colony algorithm. The method comprises the following steps that s11, the basic information data of a cascade reservoir system are acquired; s12, a multi-objective scheduling model including power generation, estuarine ecology and water supply is established according to the information of the reservoir system; and s13, the optimal scheduling scheme of the cascade reservoir system is solved by performing the improved artificial bee colony algorithm. Global optimization of the reservoir scheduling problem can be realized so that the calculation efficiency and accuracy can be enhanced, and a new approach can be provided for solving the multi-objective optimization scheduling problem of the cascade reservoir system.

The invention provides an industrial control protocol fuzzing test method based on protocol state, comprising the steps of extracting a protocol state machine, building a message sequence library, guiding the protocol state, sending and storing test cases, carrying out abnormality monitoring based on heart rate, and locating a test message causing abnormality. In view of the problem that industrial control protocol fuzzing test is of high blindness and low efficiency, test cases belonging to the protocol state of an industrial control component are sent to the industrial control component based on the protocol state, and therefore, the coverage of fuzzing test is extended effectively, and the test cases are more targeted. The abnormality monitoring based on heart rate is of extensive applicability. In addition, through the method for locating a test message causing abnormality, a single message or a message sequence causing abnormality of the industrial control protocol can be located efficiently and accurately, and excavation and analysis of security holes are facilitated.

The invention discloses a systematic control method for repair based on condition of electricity transmission equipment, which divides the repair based on condition of an electricity transmission system into two steps, i.e. the collection of the electricity transmission equipment information and the formulation of a strategy for systematic repair based on condition, wherein the collection of the electricity transmission equipment information comprises the collection of the equipment condition information and the collection of the operating information of the electricity transmission system; and the formulation of the strategy for systematic repair based on condition comprises the following steps: firstly, forming a basic database of the repair strategy, solving by adopting the control algorithm of a repair based on condition system, and checking and outputting to obtain an optimum repair arrangement strategy. The method provided by the invention can reduce the blindness in the repair course, avoids the insufficient repair, comprehensively balances the purposes of enhancing the service life of the equipment and improving the reliability of the system in the repair period, arranges the time interval and type of the repair of the electricity transmission equipment from the point of maximum integral benefit of the system, and enhances the economy and reliability of the repair arrangement of the system.

The invention discloses an establishing method of an uncertainty mid-term and long-term hydrological forecasting model, comprising the following steps: using a wavelet analysis (WA), an artificial neural network (ANN) and a hydrological frequency analysis (HFA) in combination to establish the uncertainty mid-term and long-term hydrological forecasting model; dividing the original sequence into two sections of a main sequence and a random sequence on the basis that WA is used to reveal multiple time dimension variation characteristics of the hydrological sequences, adopting ANN for analogue forecasting on the main sequence and hydrological frequency analysis on the random sequence and overlapping the results of the two sections to be a final forecasting value. The model is used for the mid-term and long-term hydrological forecasting in the Yellow River estuary area, and compared with the traditional method, the results show that the model can reveal the time and frequency structures and variation characteristics of the sequences, has high forecast value result precision and acceptance rate, can quantitatively analyze and describe the impact of hydrological uncertain factors on the forecasting result and can obtain the analogue forecasting value of different frequencies to corresponding hydrological sequences.

The invention discloses a method and a system for shortening time delay in a peer-to-peer network streaming media live broadcast system. The system is provided with a media source node and a cache routing server, wherein the media source node is used for the media resource management of the whole system; the cache routing server is used for media resource management, routing calculation and peer client end management in a local domain; the cache routing server is used for selecting a proper peer client end from other managed peer client ends and establishing streaming media data interaction with a request peer client end; when needed media streaming data does not exist in the peer client end managed by the cache routing server, the cache routing server is used for requesting needed streaming media data information from other cache routing servers and transmitting the needed streaming media data information to the request peer client end; and when the cache routing server is failed forobtaining the needed streaming media data from other cache routing servers, the cache routing server is used for obtaining the needed data from the media source node and transmitting the needed data to the request peer client end.

The invention provides mutant aureobasidium pullulans TKPM00006 for massively producing beta-poly(malic acid) and a method for producing poly(malic acid) by using the mutant through fermentation. The strain is the mutant for producing beta-poly(malic acid) with high yield, which is cultured by multiple groups of composite mutagenesis technology based on beta-poly(malic acid) producing TKPM10017 screened in the soil of Wang Taibao orchard, Yinchuan, Ningxia Hui Autonomous Region, China. Under the optimization condition, the yield of beta-poly(malic acid) reaches 18.4+/-1.3g/l.

The invention relates to a fertilization decision method based on crop growth remote sensing monitoring information. The fertilization decision method based on the crop growth remote sensing monitoring information is formed by integration of a traditional formulated fertilization technique based on soil fertility sub-areas (grades), a remote sensing technique and a geographic information system (GIS) technique, according to different land blocks and difference conditions of crop growth in the land blocks, superiority of the remote sensing technique is brought into full play, a real-time, rapid and accurate fertilization decision oriented toward farmland land blocks is achieved, accuracy of the fertilization decision is improved, blindness of the use of chemical fertilizer is reduced, and a foundation for wide-range popularization of a soil testing and formulated fertilization technique is laid.

The invention discloses an intelligent multidimensional big-data analyzing expert system for high-voltage circuit breakers of a power grid. The intelligent multidimensional big-data analyzing expert system is composed of a high-voltage circuit breaker cloud database or a high-voltage circuit breaker cluster (hereafter called circuit breaker) cloud database and an intelligent expert deciding terminal with a multidimensional analyzing function. The intelligent multidimensional big-data analyzing expert system has the advantages that on the basis of a big-data analysis technology, the intelligent multidimensional big-data analyzing expert system performs multidimensional analysis on huge amount of online and offline cloud data, so that unified real-time monitoring and management for the circuit breakers is achieved, functions of circuit breaker state security risk assessment, optimal equipment maintenance scheme ordering, online mobile terminal dynamic warning and the like are provided, security and economic levels in running maintenance of high-voltage circuit breaker equipment are promoted, and the high-voltage circuit breaker can be managed better in an equipment overall lifecycle.

The invention discloses an assessment method of operating dynamic risk of electric transmission and transformation equipment. In combination with a fault tree and event tree analysis method, causes and effects of a fault mode are analyzed, a bow-tie model taking the fault mode as a central node is formed, the bow-tie model can be used for analyzing causes, effects and risk of accidents in combination with a fault tree and an event tree, and corresponding risk control measures are determined. According to the operating risk of the electric transmission and transformation equipment, the operating risk can be assessed dynamically. Compared with a fault diagnosis mechanism in the prior art, a dynamic fault diagnosis mechanism has the advantages that judgment of evidence information requirements is added, blindness of a diagnosis process is reduced, the fault condition of the electric transmission and transformation equipment can be judged effectively, and therefore a result, obtained through assessment, of the service life of the electric transmission and transformation equipment is more accurate and conforms to actual conditions better, and the assessment method has better guiding significance in engineering application.

The invention relates to the field acquisition field of earth physical exploration, in particular to a multi-factor scanning method of a controllable vibroseis. The method comprises the following steps of: exciting an earthquake wave with a wide-frequency scanning signal to finish acquisition; selecting a receiving channel to make an amplitude spectrum and a frequency division scanning field; decomposing the signal to create a group of sub-scanning with different start frequency and end frequency for spectrum superposition and factor superposition and comparing the superposed spectrum with practical data to confirm a sub-scanning group; combining sub-scanning for field acquisition, carrying out the frequency division scanning of the amplitude spectrum, comparing amplitude spectrum data and frequency division records to confirm the best sub-scanning factor and mapping. The invention can reduce the correlated sidelobe of data, improve the signal-to-noise ratio of the data, effectively restrict harmonic interference, lessen the blindness of tests, improve the data quality and save exploration expenditure.

The invention discloses a method for improving storm surge disaster risk predication accuracy. The method comprises the following steps that a storm surge disaster scene is built based on a scene analysis method; a storm surge disaster three-dimensional numerical simulation method is provided; a multi-mode multiobjective flood refuge optimal path selection model is built; the provided storm surge disaster three-dimensional numerical simulation method specifically comprises the steps that (1) the three-dimensional network model of the regional terrain is built; (2) the SST k-omega flood routing three-dimensional turbulent model of a coupling VOF method is built; (3) a three-dimensional risk drawing is drawn based on the three-dimensional numerical simulation result. The factuality and the visualization effect of flood dynamic real-time flowing and disaster time distribution are increased; a multi-mode multiobjective emergency path decentralization model is used for further improving the completeness and reasonability of an emergency refuge system, a disaster contingency plan is effectively made, and a multi-module coupling, high-completeness and high-practicality storm surge disaster risk analysis system is provided.

The invention discloses a medium and long term hydrologic forecasting method based on empirical mode decomposition. The medium and long term hydrologic forecasting method based on empirical mode decomposition comprises the steps that firstly, a hydrologic forecasting model is built according to the following procedures of (101) empirical mode decomposition, wherein empirical mode decomposition is carried out on a hydrologic time sequence s(t) of a forecast drainage basin, (102) kernel principle component analysis, wherein kernel principle component analysis is carried out on n intrinsic mode function components Fj obtained through empirical mode decomposition and a trend item rn, and p main components F'k are extracted, (103) building of a training sample set, wherein the training sample set is built according to the extracted p main components F'k, (104) building of a support vector machine model, and (105) training of the support vector machine model; secondly, annual runoff data of the years needing forecasting are forecast through the built hydrologic forecasting model. The medium and long term hydrologic forecasting method based on empirical mode decomposition is simple in step, convenient to realize, easy and convenient to operate, good in use effect and capable of effectively resolving the problem of low forecasting accuracy of an existing hydrologic forecasting method.

This invention discloses a load balance mode of a WLAN, which broadcasts periodically to transmit load information to terminals by radio access points and terminals forecast the change trend of loads of the radio access points to decide their switch behavior. Advantage: 1, since load information of radio access points is correlative on time, the terminal can forecast the change trend of radio access points to decide if it switches to other access points or maintains the current connection, when there is not burst peak to the load of the radio access point, the terminal can maintain the current connection to avoid switch because of the intensity of signals, 2, the terminal can make switch action before the coming of laod peak so as to reduce risk brought with switch.

The invention discloses a method for determining an intermittent pumping system through oil-well pump dynamic fullness well testing. The method for determining the intermittent pumping system through oil-well pump dynamic fullness well testing comprises the steps of (1) determining a net stroke of a piston of an oil-well pump through synchronous measurement of a continuous polish rod load-and-time curve and a polish rod continuous displacement-and-time curve, and using a percentage between the net stroke and a gross stroke as a fullness measuring value; (2) building a complete oil-well pump dynamic fullness decreasing history curve according to continuous read and continuous analysis of the fullness, and obtaining an etamax and an etac according to the complete oil-well pump dynamic fullness decreasing history curve; (3) using the time spent by the process that the fullness of an oil well with the given characteristic decreases from the etamax to the etac as a fixed pumping time, and selecting different to-be-pumped times Tg to form an intermittent period; (4) using a percentage between the fixed pumping time and a well shutdown time as a pumping duty ratio, compiling a series of intermittent pumping systems according to different period systems, and determining an optimum intermittent pumping system according to the maximum daily output method and a minimum pumping duty ratio. The method for determining the intermittent pumping system through oil-well pump dynamic fullness well testing enables a sucker-rod pumping oil well to achieve maximum capacity, and reduces energy consumption and operating cost.

The invention provides a text recommendation method and device based on contents and user behaviors. The method comprises the steps of obtaining a to-be-analyzed document set and carrying out Chinese word segmentation on documents in the document set, thereby obtaining multiple word items; carrying out information gain calculation on the word items in the document set, sorting the word items according to the magnitude of information gain volume and screening multiple word items as reference vectors; converting texts in the document set into multidimensional spatial vector models according to the reference vectors; carrying out TF-IDF (Term Frequency-Inverse Document Frequency) calculation on the spatial vector models, thereby obtaining text vector matrixes; calculating similarities among different text vector matrixes, thereby forming a document relationship matrix; and analyzing user behavior data and forming a recommendation list for a user through combination of the document relationships matrix. The device comprises a word segmentation module, an IG calculation module, a dimension reduction module, a TF-IDF calculation module, a similarity calculation module and a recommendation module. According to the method and the device, the user text content recommendation effectiveness can be improved.

The embodiment of the invention discloses a method and device for cutting a character and an electronic device. The method comprises the step of obtaining a current recognition result and at least one historical recognition result of a target area, wherein the current recognition result is a recognition result of a current frame image of the target area, the historical recognition result is a recognition result of a historical image of the target area, and the current recognition result and the historical recognition result respectively comprise at least one character block; the step of obtaining the confidence coefficients of the character blocks in the current recognition result and the character blocks in the historical recognition result and the positions of the character blocks in the current recognition result and the character blocks in the historical recognition result in the image; the step of obtaining the error cutting area in the current recognition result according to the confidence coefficient and the position of each character block. According to the method, the error cutting area of the current frame image is determined by combining the recognition results of the historical image in an auxiliary mode, and when the error cutting area is cut again, the blindness of cutting the current frame image can be reduced, and the cutting accuracy and cutting efficiency can be improved.