Quanta Computer Incorporated

Chen-Chung Lee

Chia-Hung Lin

Chun-Hung Chen

Tien-Chin Fang

Ming-Jen Chen

Wen-Kuang Chen

Chien-Kuo Hung

Ping-Chi Lai

Hung-Yu Yang

Ching-Wen Lin

Meng-Yu Li

Chia-Chen Chiang

En-Chi Lee

Cheng-Yao Wang

Mei-Jung Wang

Ching-Shium Chen

Ching-Yu Tsai

Wei-Lun Tsai

Tu-Jung Li

Jen-Hung Chang

Tsai-Hsing Lu

Chih-Ling Liu

Jhen-Jhong Chen

Yao-Kun Lee

Mao-Tien Kung

His-Chieh Hsu

Wei-Chi Tai

Jui-Sen Tuan

Meng-Chia Chen

You-Dian Lin

Li-Pin Tseng

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.

Process operation system and process operation method for automatically creating, publishing and executing a task

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.

Method and computer program product for hacking detection

A character recognition method includes the stages as detailed in the following paragraph. An image is received, wherein the image is one in a plurality of consecutive images. A target object in the image is detected. Object information of the target object is defined according to the area ratio of the target object occupied in the image. Whether the target object in the image is the same as the target object in the previous image is determined according to the object information. Character recognition on the target object is performed to obtain a recognition result. The weighting score of the recognition result is calculated according to the object information and the recognition result. The weighting score of the recognition result of the target object in the consecutive images is accumulated until the weighting score is higher than a preset value, and the recognition result is output.

Character recognition method for dynamic images

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.

Consumption prediction system and consumption prediction method

A data processing method includes the following steps: generating a machine-learning parameter and obtaining a storage parameter code, wherein the storage parameter code corresponds to a storage space; receiving the machine-learning parameter and the storage parameter code, and storing the machine-learning parameter in the storage space according to the storage parameter code, and generating an event notification when the machine-learning parameter is modified; and generating a loading request according to the event notification, and the loading request is used to request the modified machine-learning parameter, wherein after the loading request is generated, the modified machine-learning parameter is downloaded from the storage space corresponding to the storage parameter code.

Data processing system and data processing method

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.

Content capturing system and content capturing method

A system including a network communication device, a storage device, and a controller is provided. The storage device stores first mappings between IP addresses and devices, and second mappings between software and devices. The controller obtains a connection log from the proxy server or the firewall device via the network communication device, uses the first mappings and the second mappings to analyze the connection log to determine one or more different connections between connections of devices on which first software is installed and connections of devices on which the first software is not installed, determines whether the first software functions normally on a first device blocking the different connections, and adds destination addresses of the different connections into a blocking list in response to the first software functioning normally on the first device, such that the proxy server or the firewall device blocks all connections towards the destination addresses.

Systems and methods for management of software connections

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.

Data forwarding system

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.

Systems and methods for cloud service provisioning using software containers

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.

Image-based object tracking systems and methods

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.

Software risk evaluation system and method thereof

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.

Monitoring management systems and methods

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.

Management systems of cloud resources and management methods thereof

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.

Cloud servers and methods for handling dysfunctional cloud services

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.

Growing community of inventors

Taoyuan, Taiwan

Chen-Chung Lee