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 resource adjustment system and method for virtual machines (VMs) are provided. The method includes: obtaining, by a monitoring module, performance and status information of a first server and at least one VM of the first server; estimating, by an estimating module, the first server and each VM according to the performance and status information and an evaluation index and obtaining a server estimation score of the first server and a virtual machine estimation score of every VM; and finding, by a moving module, a second server according to the performance and status information and the evaluation index when a virtual machine estimation score of at least one first VM of the first server or the server estimation score exceeds a threshold, finding at least one VM suitable to be moved according to a moving order, and moving the at least one VM to the second server.
Abstract:
An automatic software audit system includes a client and a server. The client includes a network interface, a software installation record database, a software audit rule database, a software release database and a central processing unit (CPU). The network interface is coupled to the client. The software installation record databases stores a software installation record of the client. The software audit rule database stores a software audit rule. The software release database stores a software release record of the client. The CPU installs an agent program to the client to collect the software installation record, and generates a software audit result of the client according to the software installation record, the software audio rule and the software release record.
Abstract:
A process operating system includes a process control platform, a process operation platform and an endpoint task robot. The process control platform is configured to receive operation information, extract a task from the operation information using a semantic analysis method, and publish the task. The process operation platform is configured to receive the task and store the task in a task queue. After receiving the task, the process operating platform defines a processing flow based on the task, and sorts the order of the task in the task queue. The endpoint task robot is configured to automatically obtain the task from the process operation platform, executes the task according to the processing flow. It then writes the execution result into the log queue and transmits the execution result to the process control platform.
Abstract:
The present invention discloses a hacking detection method, including: deploying a plurality of trap IP addresses in a trap IP address list; collecting access logs from a plurality of network devices to create a connection record list, wherein the connection record list includes a plurality of connection records; and comparing the trap IP address list and the connection record list to obtain a suspicious source list. The suspicious source list includes a plurality of suspicious source IP addresses. The suspicious source IP addresses match a portion of the trap IP addresses in the trap IP address list.
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:
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:
An image-based object tracking system including a photographic device and a computing equipment is provided. The photographic device captures a first image of a scene at a first time and a second image of the scene at a second time subsequent to the first time. The computing equipment determines an area of the scene in the first and second images, which includes a midline of the scene in the first and second images, overlaps the first and second images for determining whether a distance between a first object in the first image and a second object in the second image is less than a predetermined threshold in response to the first object being in the area and the second object not being in the area, and updates an entry object count or an exit object count in response to the distance being less than the predetermined threshold.
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:
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.