114results about How to "Fine division" patented technology

The color of an LED-based lamp can be tuned to a desired color or color temperature. The lamp can include two or more independently addressable groups of LEDs associated with different colors or color temperatures and a total-internal-reflection (TIR) color-mixing lens to produce light of a uniform color by mixing the light from the different groups of LEDs. The color of the output light is tuned by controllably dividing an input current among the groups of LEDs. Tuning can be performed once, e.g., during manufacture, and the lamp does not require active feedback components for maintaining color temperature.

An apparatus is used to tune the color produced by an LED-based lamp to a desired color or color temperature. To support tuning, the lamp can include two or more independently addressable groups of LEDs. Color or color temperature is tuned by controllably dividing an input current among the groups of LEDs. The apparatus determines an optimal division of the input current based on a linear interpolation between measured values of color or color temperature produced by at least two different divisions of the input current.

The color of an LED-based lamp can be tuned to a desired color or color temperature. The lamp can include two or more independently addressable groups of LEDs associated with different colors or color temperatures and a total-internal-reflection (TIR) color-mixing lens to produce light of a uniform color by mixing the light from the different groups of LEDs. The color of the output light is tuned by controllably dividing an input current among the groups of LEDs. Tuning can be performed once, e.g., during manufacture, and the lamp does not require active feedback components for maintaining color temperature.

A method for access control to at least one memory area of a passive and / or backscatter-based transponder is provided. In the method for access control, depending on an identification selection criterion, a first or at least one second identification within the transponder is activated, the activated identification upon an appropriate request by reader unit is transmitted to said unit, the at least one memory area of the transponder is divided into memory blocks with a settable size, access control information is assigned to a respective memory block, and read and / or write access to a specific memory block is released or blocked depending on the associated access control information and the identification selection criterion.

The invention discloses a photovoltaic system fault arc detection method combining multiple detection signals. The method comprises the following steps: carrying out an equal time interval analysis of the multiple detection signals when the signal statuses are not changed; acquiring multiple characteristic values of a current time period based on a characteristic quantity obtained through the photovoltaic system fault arc detection method and the input multiple analysis time period detection signals; acquiring a typical value based on the selected detection signals; constructing correction factors for characteristic values of the next time period based on the typical values and the characteristic values of the detection signals for the current time period and the next time period; and carrying out linear weighting of each constructed correction factor and the corresponding characteristic value of the next time period to obtain a combined characteristic quantity, so as to complete the combined detection of photovoltaic system fault arcs. The method provided by the invention has the advantages that the photovoltaic system fault arc detection working conditions are expanded, the resistance of the photovoltaic system fault arc detection characteristic quantity against external interference is improved, the judgment of the combined characteristic quantity on the time of fault occurrence is more accurate, and a photovoltaic system can run more stably and safely.

The invention discloses a line customization method and a line customization system based on travel planning. The method comprises the following steps: grabbing POI data in a WEB server, and finding out the key words in the POI data; building a tag library according to a set dimension, and establishing the corresponding relationship between the keywords and user preferences; getting a travel library according to the travel of a user, and decomposing the travel library into travel fragments, scoring POI attribute tags contained in the travel fragments to get the score of the user preference, and getting the routes of the travel fragments according to the score of the user preference; and combining the routes in the travel fragments through a POI combination algorithm to get a customized line. According to the invention, the fragments are combined into a finished recommended line based on POI attributes and tags, and thus, a travel fitting the personalized travel preference of a user can be recommended to the user.

The invention provides a method and device for extracting a text from an image. The method comprises the following steps: carrying out grey level nonlinear dynamic compression on an original image to obtain an enhanced image; extracting textural characteristics and edge characteristics of the enhanced image; constructing the textural characteristics and the edge characteristics into homogeneous characteristics, and mapping the enhanced image to a homogeneous space according to the homogeneous characteristics to obtain a characteristic image; extracting a text area from the characteristic image by a text area detector; and extracting and identifying characters from the text area of the enhanced image. According to the invention, the accuracy and robustness in text detection can be effectively improved.

The present invention belongs to the field of urban intelligent public traffic information processing technology and specifically discloses a real-time bus arrival time prediction method based on the operation data of former buses in multiple lines. The method comprises the following five steps of dividing a to-be-predicted bus line into a plurality of driving road sections, establishing a corresponding relationship between the road sections and the bus line, calculating the travel time of a bus on different road sections, estimating the travel time of a to-be-predicted bus on different road sections, and predicting the time for the bus to arrive at a downstream bus station. According to the technical scheme of the invention, the time for a target bus to arrive at each downstream bus station can be predicted, and the to-be-predicted bus line is divided into a plurality of road sections with road intersections as division nodes. Meanwhile, the GPS data of all buses that pass through a corresponding road section within a previous period of time are fully utilized, so that the expected travel time of a to-be-predicted bus on different road sections can be predicted. Finally, a real-time bus arrival time prediction model is established, and the time for the to-be-predicted bus to arrive at each downstream bus station can be determined.

In a device (4) for receiving a piece of baggage (2) for transport, for example at an airport, the device comprises a receiving room (18A) with an infeed opening and a discharge opening. The receiving room is provided with a closing assembly, the closing assembly comprising a closing mechanism (22, 24). The device furthermore comprises a conveyor unit (16, 20) for discharging the piece of baggage from the receiving room through the discharge opening. The closing assembly is equipped at any time to keep at least one or other of the infeed opening and the discharge opening closed. In this way a device according to the invention is equipped to protect deposited baggage from third parties and to prevent persons from following the piece of baggage to the areas not accessible to the public. The present invention also provides a method for receiving a piece of baggage, which method is in accordance with the functioning of the above-mentioned device.

The invention discloses a borehole -based and ground combined seismic wave space exploration method, which comprises the following steps of: setting an excitation mode of a seismic source and a detector arrangement mode according to a topographic condition and the peripheral environment of a field to be exploited; forming an exploration hole by using an exploration drill and mounting a wall protecting wall in the exploration hole; simultaneously arranging a detector string in a ground surface and the exploration hole; arranging a unilateral detector string in the ground surface; arranging a three-component detector string in the exploration hole; connecting both the detector strings to a data acquisition instrument on the ground; connecting the data acquisition instrument to a computer; selecting proper exploration parameters and an excitation seismic source according to the geological condition; propagating the seismic wave from the seismic source to the ground surface and the exploration hole through the stratum; performing data acquisition by using the data acquisition instrument; and finally, performing data processing and imaging through the computer. According to the method, the defect that the exploration requirement of a complex topography cannot be met due to finite span and depth for application of the conventional seismic CT (Computed Tomography) technology and single arrangement and receiving mode of the detector is overcome.

The invention relates to a multi-core CPU load balancing method based on ring and a system thereof. The method comprises the following steps: detecting the load balancing conditions of all CPUs in the multi-core CPU in real time and judging whether the multi-core CPU is balanced; evaluating the loading conditions of all rings under the condition that of the multi-core CPU is not balanced; and adjusting binding relationship among the ring and the CPUs by using the ring as a unit. The method uses the ring as a least unit to adjust the CPU load degree, the division of the flow rate of a network card is finer, and further the multi-core CPU load is more balanced. The method and the system thereof of the invention can be widely applied in the multi-core CPU.

The invention discloses a spectrum sensing algorithm based on variational mode decomposition, and solves the problem that a signal at a receiving end is interfered by a noise background in the prior art. The method comprises the following steps of: 1, generating a simulation signal BPSK; 2, taking the mean value of the instantaneous frequencies of the components as a decomposition parameter, determining an optimal mode decomposition number K according to a change curve of the decomposition parameter, and setting an appropriate penalty factor alpha; 3, performing variational mode decompositionon the BPSK signal according to the obtained decomposition parameters; 4, respectively carrying out power spectrum estimation on the obtained L intrinsic modes; 5, taking the ratio of the sum of the spectral line intensities of the intrinsic modes to the sum of intensities of all the intrinsic modes as a test statistic; and 6, comparing the obtained test statistics with a judgment threshold, and making a final judgment. According to the method, the equivalent band-pass filtering characteristic and the Wiener filtering structure of variational mode decomposition are utilized, frequency bands are better divided, and denoising processing is better carried out; and compared with a traditional power spectrum segmented cancellation algorithm, the detection performance can be remarkably improved.

The invention discloses a text multi-granularity similarity comparison method based on semantic aggregation fingerprints. The method comprises the following steps: training word vector representation;extracting semantic features; performing multi-feature aggregation; constructing a hierarchical index; calculating similarity. According to the method, word vector representation modeling is carriedout in combination with multi-dimensional semantic correlation; semantic information among words is fully mined; characteristics are extracted by taking sentences as units, semantic features are represented by adopting multiple weights, text library statistics and distribution information are mined by utilizing a statistical learning method, finer division of a feature space is realized, a compacttext fingerprint with high identification degree is generated on the basis of multi-feature aggregation, and the description capability and the discrimination degree of the text fingerprint are effectively improved. According to the method, text similarity comparison is carried out by adopting a top-down thought and using semantic aggregation fingerprint and local semantic features, and global-to-local multi-granularity similarity comparison of texts can be quickly and efficiently realized by constructing hierarchical indexes; the method has good expandability.

The invention is a method for generating a three-dimensional model, said method comprising generating (S100), by means of a scanning device, a point set corresponding to a scene comprising at least one object shape, dividing (S120) the point set corresponding to the scene into a foreground point set corresponding to a foreground of the scene, and comprising a subset corresponding to the at least one object shape of the point set corresponding to the scene, and a background point set corresponding to a background of the scene, separating (S130) from the foreground point set, at least one object shape subset corresponding to each of the at least one object shape, respectively, generating (S140) a background three-dimensional model on the basis of the background point set, generating (S150) from optical recordings a three-dimensional model of at least one substituting object shape assignable to each of the at least one object shape, respectively, and generating (S160) a combined three-dimensional model on the basis of the background three-dimensional model and the three-dimensional model of at least one substituting object shape substituting each of the at least one object shape subset, respectively. Furthermore, the invention is a system for generating a three-dimensional model.

The invention discloses resource allocation method and device in cloud computing environment. The method includes: receiving a resource request from a user, and acquiring dimension information in the resource request; and allocating resources, in multi-dimensionally divided resources and matching with the dimension information, to users according to the dimension information in the resource request. The resources in the cloud computing environment are multi-dimensionally divided, so that the resources can be divided more finely, requirements of users are met, reasonable management and allocation of the resources are achieved and system automation capability is greatly improved.

The invention provides a method for identifying and analyzing a single-point failure mode of a launch vehicle. According to the method for identifying and analyzing the single-point failure mode of the launch vehicle, the severe degree is divided at system levels, the severe degree grade is fine divided in the identification and analysis process of a single-point failure, the division of the severe degree grade is more accurate, and necessary conditions are provided for accurate selection of an FTA top event. The single-point failure mode with the severe degree types being the type I and the type II and the occurrence possibility grades being the grade A, the grade B and the grade C is selected as the FTA top event, the causes of the launch vehicle single-point failure with a large influence on the consequence severe degree and high occurrence possibility are analyzed more deeply, the logical relationship and the interaction between all the causes are also fully analyzed, and effective input is provided for elimination and control of the single-point failure. According to the method for identifying and analyzing the single-point failure mode of the launch vehicle, the single-point failure is identified and controlled comprehensively through combination of the characteristics of FMEA and FTA, and the comprehensiveness and the effectiveness of the identification and the control of the single-point failure are guaranteed.

The invention provides a method and a system for dividing an urban functional area by integrating landscape and social characteristics. Firstly, an application programming interface (API) provided bya network electronic map is utilized to compile a Python network crawler to obtain city landscape data and social media data. Then, through the construction of landscape index, the landscape pattern of the urban functional areas is measured by using the urban landscape data; then, by using social media data and LDA theme model, the socio-economic indicators are established to extract the socio-economic characteristics of urban functional areas; finally, a stochastic forest algorithm is introduced to construct an automatic classification model of urban functional areas and realize urban functional classification. The method and system of the invention are low in cost, high in efficiency and capable of objectively constructing evaluation indexes, and can accurately depict the natural and social characteristics of different urban functions, thereby realizing more refined urban functional area division.

The invention discloses a fine classification method and system for power multi-element load users, and the method comprises the following steps: obtaining the historical power consumption data of thepower multi-element load users, and carrying out the preprocessing of the historical power consumption data; performing clustering analysis on the preprocessed data to obtain load characteristic curves of different types; according to the different types of load characteristic curves, using an SVM classifier to carry out training, and generating a classification prediction model; and inputting to-be-classified user historical power consumption data into the classification prediction model to obtain an output classification result. Through data preprocessing, the reliability and accuracy of the data can be improved; the clustering effect obtained by clustering analysis is more accurate; the generated classification prediction model can provide more scientific data reference for electric power decision making; and finally, the users to be classified can be classified accurately, quickly and finely.

The invention discloses a photovoltaic system fault electric arc detection method based on comprehensive multiple characteristic quantities. Equal time-interval analysis is implemented when a detection signal state is not changed; a detection signal typical value is chosen based on the detection signal of an analyzed time frame; multiple characteristic values of the time frame are obtained based on the multiple characteristic quantities formed by the photovoltaic system fault electric arc detection method and the input detection signal of the analyzed time frame; correction factors belonging to characteristic values of the next time frame are established based on the detection signal typical values and the characteristic values of the current time frame and the next time frame; and all established correction factors and the corresponding characteristic values of the next time frame are weighted to form comprehensive characteristic quantities for completing the comprehensive detection for the photovoltaic system fault electric arc. The photovoltaic system fault electric arc detection method is based on the comprehensive multiple effective characteristic quantities, so that the photovoltaic system fault electric arc detection working conditions are expanded; resistance to external interferences of the photovoltaic system fault electric arc detection characteristic quantities is improved; positioning on the fault time of occurrence by the comprehensive characteristic quantities is more accurate; and the stable and safe operation capability of the photovoltaic system is improved.

The invention relates to an area dividing method and a system based on policy service, a server and a storage medium. The method comprises steps: policy data are acquired, wherein a client address isincluded in the policy data; the name of an administrative area corresponding to the client address is recognized; according to the area name, a corresponding area boundary in an electronic map is retrieved; a polygon corresponding to the minimum dividing unit is acquired, and according to the polygon and the area boundary, the administrative area is divided in the electronic map; multiple polygons are joined to obtain multiple sub areas; the policy quantity corresponding to the multiple sub areas is acquired, and if a sub area with the policy quantity exceeding a first threshold or lower thana second threshold exists, an adjustment hint is generated; and the adjustment hint is sent to the terminal to enable the terminal to adjust the corresponding sub area to be a sub area in which a service person can be arranged suitable for policy service according to the adjustment hint. By adopting the method, the administrative area can be effectively divided, and the service person can serve the client in a concentrated area.

A base station for use in a 1xEV-DV wireless network comprising: 1) a radio frequency (RF) transceiver for transmitting to mobile stations in voice traffic channels and in at least one packet data channel and 2) a power allocation controller for adjusting the total transmit power allocated to the voice traffic channels and the at least one packet data channel in response to changing conditions in the 1xEV-DV wireless network. The power allocation controller monitors and detects trends in the traffic channel transmit power requirements of the voice-user mobile stations and adjusts the total transmit power according to the detected trend.

The invention relates to the technical field of oil gas geochemistry, in particular to a quantitative analysis method for judging petroleum degradation grade. The quantitative analysis method comprises the following steps: a sample preparation step of dehydrating a water-containing degraded oil sample and then weighing 50-100mg of the dehydrated water-containing degraded oil sample in a sample bottle; a sample degradation grade quantitative analysis step of analyzing the sample by using comprehensive two-dimensional gas chromatography-time of flight mass spectrometry; calculating the relativemass of n-isoparaffin, cyclane, arene and sterane, and terpane compound according to a peak area of a comprehensive two-dimensional gas chromatogram to be respectively denoted as A, B, C, D, and calculating an X value, wherein X=A / (A+B+C+D), the smaller the X value is, the larger the degradation grade is. The quantitative analysis method of the invention can finely divide the crude oil with the same source and the same degradation grade, thereby classifying the crude oil for geological research.

The invention provides an intelligent brake control device and an intelligent brake control method of the intelligent brake control device, belongs to the technical field of automobiles and solves the problems that the automobile automatic brake is not intelligent, and the control precision is low. The device comprises a fuzzy controller, an electric brake mechanism, a radar sensor, an acceleration sensor and a brake pedal sensor, wherein the electric brake mechanism, the radar sensor, the acceleration sensor and the brake pedal sensor are connected with the fuzzy controller, the fuzzy controller receives precise acceleration signals transmitted by the acceleration sensor and precise relative distance signals transmitted by a radar and carries out scattering and fuzzy processing when brake signals are not received, meanwhile, corresponding fuzzy brake braking force signals are output according to a meta-rule base set in the fuzzy controller, and in addition, the fuzzy brake braking force signals are converted into precise braking force signals for controling the electric brake mechanism to realize the brake. The control method comprises the following steps of: A, obtaining the input quantity; B, obtaining fuzzy input variables through fuzzy processing; C, carrying out clearing processing. The device and the method have the advantages that high intelligence of the automatic brake is realized, and the erroneous judgment probability is reduced.

In a magnetic resonance method and apparatus for imaging a particle that is located in an examination subject, a pulse sequence is emitted that includes an excitation pulse that generates a transverse magnetization of the examination subject from a magnetization appearing in a basic magnetic field, so the particle causes a magnetic interference field in the applied basic magnetic field in a magnetic resonance measurement. After the excitation pulse, at least one spectrally selective refocusing pulse is generated in a non-resonant frequency range at the generation of a spin echo.

The wavelength division multiplexer includes a single optical substrate or a plurality of optical substrates integrated together, on which the first optical filter and the second optical filter are placed. The center wavelengths of three wavelength bands, λ1, λ2, and λ3, satisfy: 0.92≦λ2 / λ1≦1.08, and 0.20≦λ3 / λ1≦0.92 or 1.08≦λ3 / λ1≦5.00. The first optical filter combines or separates light of λ3 and two-wavelength multiplexed light of λ1 and λ2. The second optical filter combines or separates light of λ1 and light of λ2.

The invention is a method for generating a three-dimensional model, said method comprising generating (S100), by means of a scanning device, a point set corresponding to a scene comprising at least one object shape, dividing (S120) the point set corresponding to the scene into a foreground point set corresponding to a foreground of the scene, and comprising a subset corresponding to the at least one object shape of the point set corresponding to the scene, and a background point set corresponding to a background of the scene, separating (S130) from the foreground point set, at least one object shape subset corresponding to each of the at least one object shape, respectively, generating (S140) a background three-dimensional model on the basis of the background point set, generating (S150) from optical recordings a three-dimensional model of at least one substituting object shape assignable to each of the at least one object shape, respectively, and generating (S160) a combined three-dimensional model on the basis of the background three-dimensional model and the three-dimensional model of at least one substituting object shape substituting each of the at least one object shape subset, respectively. Furthermore, the invention is a system for generating a three-dimensional model.

A method for access control to at least one memory area of a passive and / or backscatter-based transponder is provided. In the method for access control, depending on an identification selection criterion, a first or at least one second identification within the transponder is activated, the activated identification upon an appropriate request by reader unit is transmitted to said unit, the at least one memory area of the transponder is divided into memory blocks with a settable size, access control information is assigned to a respective memory block, and read and / or write access to a specific memory block is released or blocked depending on the associated access control information and the identification selection criterion.