Abstract:
An information push system, including a plurality of signal transmitters, a client side, and a server. The signal transmitters are configured to output a respective identification code. The client side is configured to determine a user setting, and receive the identification codes from the signal transmitters. The server is configured to receive the user setting and the identification codes from the client side, and output the push information of a received identification code according to the user setting and the received identification code. The server also includes a database, which is configured to store the user setting, and the identification code and the push information which are corresponding to each signal transmitter.
Abstract:
The present invention discloses a method for providing a message to a mobile communication device. The method includes the following steps: a dispatched message is received from a service-providing server through a message-dispatching server. The dispatched message includes identification information of at least one message receiver. Rule-operating and message-processing are performed to the dispatched message through the message-dispatching server after a fixed time period from a time at which the dispatched message is received. The rule-operated and message-processed dispatched message is displayed on a display unit of a mobile communication device through the message-dispatching server. The mobile communication device logs in with the identification information of the message receiver.
Abstract:
An apparatus and a method for generating a bill of materials for inspection are disclosed. The apparatus for generating a bill of materials for inspection comprises a risk operation module, a data filtering module, and a data outputting module. The risk operation module selects a material risk index, a manufacturer risk index, a laboratory risk index corresponding to a material from the risk database, and decides the risk level according to the material risk index, the manufacturer risk index, and the laboratory risk index. The data filtering module determines whether a material needs to be inspected according to the risk level. The data outputting module selects a material sample from the material, and adds the material sample to the bill of materials for inspection.
Abstract:
A content capturing system is suitable for capturing content in an image of a document. The content capturing system includes a processor and a storage device. The processor accesses the program stored in the storage device to implement a cutting module and a processing module. The cutting module receives a corrected image. The content in the corrected image includes a plurality of text areas, and the cutting module inputs the corrected image or a first text area into a convolutional neural network. The convolutional neural network outputs the coordinates of the first text area. The cutting module cuts the first text area according to the coordinates of the first text area. The cutting module inputs the cut first text area into a text recognition system and obtains a plurality of first characters in the first text area from the text recognition system.
Abstract:
A product substance inspection system includes an expansion module, an inspection module, and a preference-setting module. The expansion module expends regulatory information into a plurality of substance thresholds. The inspection module obtains material composition corresponding to a constituent from the aggregate material composition stored in a database, and compares each element in the material composition with the corresponding substance threshold. When the inspection module determines that the value of a specific element in the material composition exceeds the corresponding substance threshold, the preference-setting module replaces the constituent to which the specific element belongs according to the preference settings.
Abstract:
A consumption prediction method includes the following steps: calculating a personal preference correlation coefficient; inputting historical environment data, a historical consumption record and the personal preference correlation coefficient into a first neural network model; a training model is generated by the first neural network model; and determining whether the accuracy rate of the training model is higher than the training threshold. When the accuracy rate of the training model is higher than the training threshold, the training model is regarded as a prediction model.
Abstract:
A cloud service system includes a hardware resource, a storage device, and a controller. The hardware resource is installed with a system, and a software container is instantiated for cloud service execution on the hardware resource. The storage device stores a plurality of libraries, each of which is associated with a respective version of the system. The controller determines a first version of the system according to a deployment request, determines whether one of the libraries is associated with the first version, and selects one of the libraries for instantiating the software container according to a selection history of the libraries in response to none of the libraries being associated with the first version.
Abstract:
The data forwarding system includes a data storage device and a server. The data storage device is configured to store shared data uploaded by a first developer via a first terminal device. The server includes a processor which can load program codes to execute: a forwarding procedure for forwarding the shared data to a receiving device; a forwarding setting procedure for enabling the developer to apply forwarding settings to the shared data; a data processing procedure for executing the necessary data processing before forwarding the shared data; and a forwarding condition verification procedure for examining whether the shared data conforms to the forwarding settings.
Abstract:
A monitoring management system is provided to perform a monitoring operation including: detecting a system configuration of an application server; determining whether the system configuration is compliant with a monitoring rule corresponding to the application server; generating a monitoring configuration when the system configuration is compliant with the monitoring rule; and allocating at least one monitoring server to monitor the application server according to the monitoring configuration.
Abstract:
A file sharing system includes: a second, first user device and a cloud server. The first user device uploads a file and sharing information corresponding to the file, wherein the sharing information includes file recipient information of an application corresponding to the second user device. The cloud server receives the file and the sharing information, and transmits a first sharing message to the second user device according to the sharing information. The second user device transmits a request message to the cloud server for requesting the file according to the first sharing message. The cloud server authenticates the second user device according to the request message, and transmits a second sharing message to the application corresponding to the second user device according to the file recipient information when the authentication is successful. The second user device accesses the file according to the second sharing information of the application.