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: An integrated speech recognition system including a storage device and a controller is provided. The storage device stores a plurality of first scores corresponding to a plurality of users for each of a plurality of speech recognition services. The controller selects a first user group from a plurality of user groups according to user data, obtains a plurality of recognition results which are generated by the speech recognition services for the same speech data, and generates a recommendation list by sorting the recognition results according to the first scores corresponding to the users in the first user group.

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 management method of cloud resources is provided for use in a hybrid cloud system with first and second cloud systems, wherein the first cloud system includes first servers operating first virtual machines (VMs) and the second cloud system includes second servers operating second VMs, the method including the step of: collecting, by a resource monitor, performance monitoring data of the first VMs within the first servers; analyzing, by an analysis and determination device, the performance monitoring data collected to automatically send a trigger signal in response to determining that a predetermined trigger condition is met, wherein the trigger signal indicates a deployment target and a deployment type; and automatically performing, by a resource deployment device, an operation corresponding to the deployment type on the deployment target in the second cloud system in response to the trigger signal.

Abstract: A cloud server including a communication device, a plurality of hardware resources, and a controller is provided. The communication device provides a network connection to the Internet and an electronic computing device on the Internet. A respective virtual machine is instantiated for service execution on each of the hardware resources. The controller receives a hosting request for a service from the electronic computing device via the communication device, allocates one of the hardware resources to execute the service according to the hosting request and determine a link for accessing the service from outside of the cloud server in response to the hosting request, tests whether the service is functional by accessing the service from the Internet according to the link via the communication device, and transfers the service to be executed by another one of the hardware resources when the service is dysfunctional.

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 monitoring system is provided to perform a monitoring operation including: initiating a first process to serve as a first task agent for determining whether there is a monitoring item among the application servers, and if so, generating a monitoring task; initiating a second process to serve as a second task agent for obtaining monitoring data by monitoring the monitoring item according to the monitoring task; initiating a third process to serve as a third task agent for determining whether the monitoring data meets an abnormality definition associated with the monitoring task, and if so, generating an alert message; and initiating a fourth process to serve as a fourth task agent for determining, according to an alert rule, whether or not to send the alert message to a manager of the application server with which the monitoring item is associated.

Abstract: A management method of cloud resources is provided for use in a hybrid cloud system with first and second cloud systems, wherein the first cloud system includes first servers operating first virtual machines (VMs) and the second cloud system includes second servers operating second VMs, the method including the step of: collecting, by a resource monitor, performance monitoring data of the first VMs within the first servers; analyzing, by an analysis and determination device, the performance monitoring data collected to automatically send a trigger signal in response to determining that a predetermined trigger condition is met, wherein the trigger signal indicates a deployment target and a deployment type; and automatically performing, by a resource deployment device, an operation corresponding to the deployment type on the deployment target in the second cloud system in response to the trigger signal.

Abstract: A software risk evaluation system and method thereof are provided. The software risk evaluation system includes a computer system and a server. The computer system executes a software risk evaluation program to perform the steps of: scanning the computer system to obtain a software installation list of software installed on the computer system; obtaining a software risk management file from the server; setting a risk level for each software on the software installation list according to the software risk management file; adjusting the risk level of each software on the software installation list according to software asset management data and the software risk management file; and generating a software risk evaluation report according to the adjusted risk level of each software on the software installation list.

Abstract: A dynamic resource management method for remote management of resources of resources devices by a cloud server is provided. The method includes: detecting resource-using-statuses of the resource devices to generate using-load parameters for the resources devices according to the resource-using-statuses of the resources devices by control devices installed on the resources devices; timely collecting, by the cloud server, the using-load parameters for the resources devices outputted by the control devices via a network; and upon receiving a using request corresponding to the resources devices from at least one smart device, performing, by the cloud server, a comparison according to the using-load parameters for the resources devices and the using request and performing resource using distribution on the resources devices to obtain resource-use planning based on the comparison result, thereby controlling the operation of the resource devices and replying to the using request of the smart device.

Abstract: Cost-based license management methods for use in a license management system that manages licenses and respective costs of using license are provided. The method includes the steps of: setting a peak-hour period according to historical using record of licenses; determining whether the peak-hour period is reached and whether a usage rate for the licenses being used in the peak-hour period is higher than a upper limit; using first rate to calculate cost of using license for all of the licenses being used when the peak-hour period has not been reached or the usage rate for the licenses in the peak-hour period is lower than the upper limit; and using second rate higher than the first rate to calculate the cost of using license for part of the licenses being used when the usage rate for the licenses in the peak-hour period is higher than the upper limit.

Abstract: A cloud server including a communication device, a plurality of hardware resources, and a controller is provided. The communication device provides a network connection to the Internet and an electronic computing device on the Internet. A respective virtual machine is instantiated for service execution on each of the hardware resources. The controller receives a hosting request for a service from the electronic computing device via the communication device, allocates one of the hardware resources to execute the service according to the hosting request and determine a link for accessing the service from outside of the cloud server in response to the hosting request, tests whether the service is functional by accessing the service from the Internet according to the link via the communication device, and transfers the service to be executed by another one of the hardware resources when the service is dysfunctional.

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: A cloud service system and a cloud service method thereof are disclosed herein. The cloud service method includes the following steps. A target file is downloaded to a private cloud system. A resource allocation setting corresponding to the target file is obtained. A resource establishment is automatically deployed according to the resource allocation setting, and the target file is installed on the resource allocation setting. A data structure and a default data corresponding to the target file are configured automatically.

Abstract: A system for sharing information about product materials, including a database, a part-analyzing module, a part-searching module, and a disclosure-rate calculating module. The database includes a first sub-database corresponding to an enterprise and a second sub-database corresponding to a first supplier. The first sub-database stores information of a plurality of parts composing a product and information about the first supplier of the parts, and the second sub-database stores material information corresponding to the parts. The part-analyzing module obtains the information of the parts and the information about the first supplier from the first sub-database. The part-searching module obtains first disclosed material information and first undisclosed material information of the parts from the second sub-database. The disclosure-rate calculating module calculates the first disclosure rate of the product according to the first disclosed material information and the first undisclosed material information.

Abstract: An indoor positioning method for use in an indoor positioning system is provided. The indoor positioning system includes beacon devices, a mobile device, and a positioning server. The method includes the steps of: utilizing the mobile device to receive a positioning signal from each beacon device and determine distance information between the mobile device and each beacon device; determining a specific primary region in which the mobile device is located according to the distance information between the mobile device and the top beacon devices; determining a precise location in the specific primary region according to the distance information between the mobile device and the planar beacon devices corresponding to the specific primary region; and reporting the precise location to the mobile device, so that the precise location is illustrated on a plan view of the indoor space displayed on the mobile device.

Abstract: An indoor positioning method for use in an indoor positioning system is provided. The indoor positioning system includes beacon devices, a mobile device, and a positioning server. The method includes the steps of: utilizing the mobile device to receive a positioning signal from each beacon device and determine distance information between the mobile device and each beacon device; determining a specific primary region in which the mobile device is located according to the distance information between the mobile device and the top beacon devices; determining a precise location in the specific primary region according to the distance information between the mobile device and the planar beacon devices corresponding to the specific primary region; and reporting the precise location to the mobile device, so that the precise location is illustrated on a plan view of the indoor space displayed on the mobile device.

Abstract: A management method for management of resources of servers is provided, the method including the step of: collecting, by a resource status monitor, performance monitoring data of each resource within each of the servers and operation status data of a plurality of virtual machines within the servers; analyzing, by an abnormality analysis and determination device, the performance monitoring data and the operation status data collected to automatically send a trigger signal in response to determining that a virtual machine in performance abnormal status is exist among the virtual machines; and automatically performing, by a resource allocator, a processing on the virtual machine in performance abnormal status in response to the trigger signal, wherein the processing is at least one action of a limiting processing, a transfer processing and a resource allocation.

Abstract: A dynamic resource management method for remote management of resources of resources devices by a cloud server is provided. The method includes: detecting resource-using-statuses of the resource devices to generate using-load parameters for the resources devices according to the resource-using-statuses of the resources devices by control devices installed on the resources devices; timely collecting, by the cloud server, the using-load parameters for the resources devices outputted by the control devices via a network; and upon receiving a using request corresponding to the resources devices from at least one smart device, performing, by the cloud server, a comparison according to the using-load parameters for the resources devices and the using request and performing resource using distribution on the resources devices to obtain resource-use planning based on the comparison result, thereby controlling the operation of the resource devices and replying to the using request of the smart device.

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.