Abstract: A deployment request is received for a plurality of clusters within a plurality cloud computing environments. The deployment request relates to one or more operational actions for computing devices associated with the plurality of clusters. The plurality of clusters is associated with a single application programming interface (API). A set of standards are received for the plurality of clusters from the API. The plurality of clusters is configured according to the set of standards to create a configured plurality of clusters. The configured plurality of clusters are deployed within the plurality of cloud computing environments.

Abstract: An on-site earthquake early warning method is disclosed. The method includes the following steps: receiving a first signal generated in response to a first vibration event and a second signal generated in response to a second vibration event; determining whether an earthquake event exists according to the first and the second signals; predicting a real-time seismic shear wave prediction characteristic value according to the first signal; and sending the real-time seismic shear wave prediction characteristic value when it is determined that the earthquake event exists.

Abstract: A method for predicting an on-site seismic feature value using artificial intelligence is disclosed. The method includes the steps of obtaining a plurality of seismic historical data for a local position, wherein each of the seismic historical data includes seismic longitudinal wave information and a corresponding seismic transverse wave feature value, the seismic longitudinal wave information includes a plurality of data related to a vertical direction of ground surface, and the plurality of data include at least an acceleration value, a displacement value, a period and a velocity value; and based on at least the plurality of seismic historical data, obtaining a seismic transverse wave prediction model for the local position via an artificial intelligence calculation module.

Abstract: In the present invention, an earthquake detection system based on the combination configuration of a free field and remote signal source is provided. The earthquake detection system includes: a host; a main sensor arranged in a free field and connected to the host; and a plurality of backup sensors, which are remotely arranged with respect to the main sensor, wherein each of the backup is connected to the host via the internet and transmits a remote signal to the host so as to avoid misjudging the occurrence of earthquakes because of unnatural factors, and prevent the vibration caused by human activities from interfering with the detector. The earthquake detection system achieves the effect of verification through a plurality of sensors installed in different positions.

Abstract: An earthquake detection method is disclosed. The method comprises the following steps: receiving a first signal and at least a second signal, wherein the first signal is triggered in response to a first vibration state of a main detection site, and the at least a second signal is triggered in response to at least a second vibration state of at least a backup detection site; determining whether a quantity of those being enabled among the at least a second signal satisfies a quantity ratio condition, and determining whether the first signal and the quantity of the at least a second signal are both enabled at a specific time point, wherein the first and the quantity of the at least a second signals respectively have a first and at least a second initial enabled time points; and determining there is a real earthquake event when an interval between the first and the at least a second signal satisfies a time relationship.

Abstract: An information platform for providing an earthquake early warning of a large area is disclosed. The large area includes a plurality of small districts, different sets of the plurality of small districts form different large districts according to geographical locations so as to make up the large area, and the information platform is both connected with a plurality of on-site earthquake early warning stations and the plurality of small districts through a cloud network. The plurality of on-site earthquake early warning stations are located in the large districts respectively, each of the plurality of on-site earthquake early warning stations is configured to obtain a real-time seismic longitudinal wave measurement data, obtain a real-time seismic transverse wave feature prediction value corresponding to the real-time seismic longitudinal wave measurement data, and transmit the real-time seismic transverse wave feature prediction value.

Abstract: An earthquake detection system is disclosed. The earthquake detection system includes a main sensor, a first backup sensor, a second backup sensor and a third backup sensor. The main sensor is disposed on a free field. The first backup sensor is disposed on a structure. The second backup sensor is disposed below a ground surface at a depth of at least 20 meters. The third backup sensor is disposed at a remote end relative to the main sensor, and outputs a remote signal through a network so as to avoid misjudging the occurrence of earthquakes because of unnatural factors, and prevent the vibration caused by human activities from interfering with the detector. The earthquake detection system achieves the effect of verification through a plurality of sensors installed in different positions. Only when all the sensors confirm that there is an earthquake, an earthquake warning will be issued to the protected place.

Abstract: A wrench with anti-penetration effect has a body, at least one wrench head, and at least one abutting unit. The at least one wrench head is formed on an end of the body and has at least one engaging portion disposed on an inner side of the at least one wrench head. Each one of the at least one engaging portion has two engaging faces connected to each other with an included angle and disposed between a top surface and a bottom surface of the at least one wrench head. The at least one abutting unit is transversally formed on the top surface of the at least one wrench head by punching and extended out of the inner side of the at least one wrench head.

Abstract: A deployment request is received for a plurality of clusters within a plurality cloud computing environments. The deployment request relates to one or more operational actions for computing devices associated with the plurality of clusters. The plurality of clusters is associated with a single application programming interface (API). A set of standards are received for the plurality of clusters from the API. The plurality of clusters is configured according to the set of standards to create a configured plurality of clusters. The configured plurality of clusters are deployed within the plurality of cloud computing environments.

Abstract: Disclosed are a method and a device for controlling a serial interface of a wireless earphone, a wireless earphone, and a computer readable storage medium. The method includes: disabling a serial interface function of the wireless earphone in a case that a first predetermined condition is met, where the first predetermined condition includes that the wireless earphone is outside a charging case, or the wireless earphone is in the charging case and a lid of the charging case is closed; and enabling the serial interface function of the wireless earphone in a case that a second predetermined condition is met, where the second predetermined condition includes that the wireless earphone is in the charging case and the lid of the charging case is open.

Abstract: A metal mask and an inspecting method thereof are provided for improving quality standard detection. The metal mask has a first and a second long side and plural pattern regions. The method includes the followings steps Based on the pattern regions adjacent to the first and second long sides, a first and a second reference straight line adjacent to the first and second long sides respectively are defined. Then, a first maximum offset length between the pattern regions and the first reference straight line is measured. A second maximum offset length between the pattern regions and the second reference straight line is measured. When a difference between the first and second maximum offset lengths is less than or equal to 20 ?m, the metal mask is determined to meet an inspecting standard.

Abstract: A request to configure a connect cluster including one or more connectors for a cloud computing system is received. The request include a desired connector state. A connector specification file is automatically generated based on the desired connector state for the connect cluster via a declarative application programming interface (API). Application resources associated with the connect cluster are automatically configured based on the specification file.

Abstract: A deployment request is received for a plurality of clusters within a plurality cloud computing environments. The deployment request relates to one or more operational actions for computing devices associated with the plurality of clusters. The plurality of clusters is associated with a single application programming interface (API). A set of standards are received for the plurality of clusters from the API. The plurality of clusters is configured according to the set of standards to create a configured plurality of clusters. The configured plurality of clusters are deployed within the plurality of cloud computing environments.

Abstract: A metal mask has a first surface, a second surface opposite to the first surface, first and second openings provided on the first and second surfaces respectively, and first and second through holes communicating with the first and second openings respectively. The juncture of the first and second through holes further has an annular protrusion. The mask satisfies the in equations: 1 ? ?m 2 < 1 2 × W × H < 15 ? ?m 2 ? and ? 30 ? ° < ? < 65 ? ° , wherein W is the horizontal distance between an edge of the first opening and an imaginary connecting line passing through an edge of the second opening and an end edge of the annular protrusion, H is the vertical distance between the end edge of the annular protrusion and the first surface, and ? is the included angle between the imaginary connecting line and an imaginary extending plane of the first surface. The metal mask is effective in reducing shadow effect, thereby improving evaporation quality.

Abstract: The present invention provides a transdermally deliverable microneedle patch, a manufacturing mold therefor, and a manufacturing method therefor. The transdermally deliverable microneedle patch includes: a basal layer for attaching to an epidermis, and a microneedle array and a bump array arranged on the basal layer. The microneedle array includes a plurality of microneedles that protrude and extend away from the basal layer. The microneedles are made of a predetermined medicament and a first dissolvable carrier component, and diameters of ends of the microneedles opposite to the basal layer are less than 50 ?m. The bump array includes a plurality of bumps that protrude and extend away from the basal layer. Diameters of ends of the bumps opposite to the basal layer are greater than 50 ?m. The bumps are arranged at intervals along a periphery of the microneedle array, and heights by which the bumps protrude from the basal layer are less than heights by which the microneedles protrude from the basal layer.

Abstract: A method is disclosed. The method includes receiving a training dataset including a set of training samples. The method then includes obtaining a first parameter value and a second parameter value. After the parameters are determined, the training dataset can be fed into a machine learning model to train the machine learning model using a neighborhood-specific loss function. The method can then include receiving a second dataset including a set of second samples. Each second sample can then be input into the trained machine learning model to determine a prediction score for each second sample, and the prediction scores can form a bimodal distribution centered around the first parameter and the second parameter.