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312 results about "Group type" patented technology

A Group Type is a collection of groups with a common purpose and similar settings. Unique groups are groups that don't fit into a group type. Group Types are not created based on geographical distinction or age groups; to differentiate those groups, use Tags. To access Group Types, go to the Groups tab, and click Manage Group Types.

An API gateway-based API interface access method

InactiveCN109726025AImplement service callsMeet the needs of horizontal application integrationInterprogram communicationDigital data authenticationAccess methodClient-side
The invention discloses an API gateway-based API interface access method, and relates to the network technology. The method comprises the following steps: an API (Application Program Interface) needing to be agented on a server-side gateway is registered; the address of the server side gateway is used as the address of the server side; starting a cross-gateway access service of the API interface;the API interface is registered to a client gateway; the client gateway judges whether the API interface corresponding to the access request received by the client gateway is the API interface registered in the gateway or not; if not, the user identifies the user; the identifier of the server gateway and the API interface identifier corresponding to the access request are sent to an authorizationservice center; The access token is applied to the authorization service center, service calling across gateways is achieved, a safety authentication mechanism is provided through the access token, authorization access is achieved, safe, convenient and efficient service calling support can be provided for deep service integration between group type or industrial chain enterprises, and the transverse application integration requirement between the enterprises is met.
Owner:北京神舟航天软件技术股份有限公司

Self-learning type energy-saving electric water boiler group system and control method thereof

InactiveCN103808013AApplications for different occasionsSave energyFluid heatersCommunication unitEngineering
The invention discloses a self-learning type energy-saving water boiler group system and a control method thereof. The system comprises at least two water boilers, information acquisition units, wireless communication units, self-learning type control units and display units. The method comprises the steps that the water boilers record water usage rules of users through the information acquisition units within a certain period of time and transmit the respective water usage rules to each other through the wireless communication units, peak periods, idle periods and non-water-usage periods of water usage are judged according to the rules, and then a reasonable inlet water heating and supply scheme is calculated according to a self-learning algorithm; and the display units of the water boilers display respective water supply states and the water supply states, which are received wirelessly, of other water boilers in real time and put forward a reasonable supply suggestion. According to the system and the control method, a group type drinking water heating and supply method with the self-learning algorithm is adopted, the regional integration is realized, and the system and the control method have the advantages of energy conservation, environment protection, drinking water health and humanization.
Owner:林宇 +1

Application meted for determining voltage phase and checking phase by using cosine law

The invention relates to an application meted for determining a voltage phase and checking a phase by using a cosine law. According to the method, when transformers are in parallel operation, phase check is required to be performed on the transformers or a voltage transformer is utilized to perform the phase check, and the cosine law is utilized to obtain two voltage included angle (phase), and therefore, the phase of voltage can be determined. The application meted is applicable to field phase determination and phase check. The application meted for determining the voltage phase and checking the phase by using the cosine law comprises the following steps that: a special value method in a matrix is utilized to perform real-time analysis on field actual measurement data, such that wiring group types of the transformers can be obtained quickly, and therefore, it is determined that primary wiring of the transformers is regulated; after a fuse at the primary side of a voltage transformer of an electric energy metering device is fused, the voltage between an opened phase and a non-opened phase of the secondary side of the voltage transformer can be inducted, and the voltage is abnormal, and a voltage phase between the opened phase and the non-opened phase changes; the cosine law is utilized to perform phase determination after the fuse of the voltage transformer of the electric energy metering device is fused, the phase of the voltage between the opened phase and the non-opened phase is obtained such that a new power calculation formula of an electric energy meter is determined; and a normal voltage transformer is utilized to perform phase check on the voltage transformer of which the phase is opened, such that the phase of the voltage between the opened phase and the non-opened phase can be determined, and the new power calculation formula of the electric energy meter can be obtained.
Owner:杨建堂 +1

Convolutional neural network-based music signal multi-instrument identification method

InactiveCN110111773APrecise positioningAvoid the disadvantage of uniform time-frequency resolutionSpeech recognitionHarmonicAttention network
The invention discloses a convolutional neural network-based music signal multi-instrument identification method. The method comprises the following steps of S1, extracting two features from an inputaudio, wherein the two features comprise a pitch feature matrix and a constant Q transformation matrix based on tone; S2, carrying out classification according to musical instrument groups, includingtubes, strings and percussion music, inputting the constant Q transformation matrix into a primary convolutional neural network to obtain a classification matrix, and inputting the classification matrix into a classifier to obtain a coarse classification result, namely the musical instrument group type; and S3, on the basis of the classification matrix, inputting the classification matrix into a secondary convolutional neural network with an attention network in combination with a pitch matrix to obtain a subdivision result, namely a specific musical instrument, wherein the attention network allocates weights to different harmonic waves. The method is suitable for musical instrument identification tasks in music information retrieval and can be used for the musical instrument identification method in music automatic transcription.
Owner:SOUTH CHINA UNIV OF TECH
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