Abstract: A device includes a pair of gate spacers on a substrate, and a gate structure on the substrate and between the gate spacers. The gate structure includes an interfacial layer, a metal oxide layer, a nitride-containing layer, a tungsten-containing layer, and a metal compound layer. The interfacial layer is over the substrate. The metal oxide layer is over the interfacial layer. The nitride-containing layer is over the metal oxide layer. The tungsten-containing layer is over the nitride-containing layer. The metal compound layer is over the tungsten-containing layer. The metal compound layer has a different material than a material of the tungsten-containing layer.

Abstract: A semiconductor device includes a substrate. The semiconductor device includes a fin that is formed over the substrate and extends along a first direction. The semiconductor device includes a gate structure that straddles the fin and extends along a second direction perpendicular to the first direction. The semiconductor device includes a first source/drain structure coupled to a first end of the fin along the first direction. The gate structure includes a first portion protruding toward the first source/drain structure along the first direction. A tip edge of the first protruded portion is vertically above a bottom surface of the gate structure.

Abstract: An optical system affixed to an electronic apparatus is provided, including a first optical module, a second optical module, and a third optical module. The first optical module is configured to adjust the moving direction of a first light from a first moving direction to a second moving direction, wherein the first moving direction is not parallel to the second moving direction. The second optical module is configured to receive the first light moving in the second moving direction. The first light reaches the third optical module via the first optical module and the second optical module in sequence. The third optical module includes a first photoelectric converter configured to transform the first light into a first image signal.

Abstract: A model adjustment method, comprises: by a processing device, performing: obtaining inferred data that is inferred using a model, performing a feedback mechanism on the inferred data to obtain a feedback command associated with correctness of the inferred data, adjusting the inferred data according to the feedback command to generate adjusted data, and using the adjusted data as one of a plurality of pieces of training data for retraining the model. The present disclosure further provides a model adjustment system and non-transitory computer readable medium.

Abstract: A defect-detecting device stores a plurality of audio image data and a target audio image data. The plurality of audio image data include image data of normal audio and image data of defective audio of a first audio device and image data of normal audio of a second audio device, and the target audio image data corresponds to the second audio device. The defect-detecting device generates a plurality of simulated audio image data according to the plurality of audio image data, and trains a defect detection model according to the simulated audio image data. The defect-detecting device also analyzes, through the defect detection model, the target audio image data, so as to determine whether the second audio device is defective.

Abstract: The detecting method includes: obtaining a testing signal, perform at least one action according to the testing signal, and transmit a request instruction comprising the testing signal; determining that whether the testing signal of the request instruction represents performing a testing mode by a processor; if the processor determines that the testing signal of the request instruction represents performing the testing mode, the processor requests a testing service device to provide at least one service corresponding to the request instruction; collecting a performing order when the processor performing the at least one action and a performing result of each one of the at least one action, and combine the performing order and the performing result as a to-be classified data; and calculating a detecting result according to the to-be classified data, wherein the detecting result represents that whether a snow ball effect will occur.

Abstract: A remote working system and a working method thereof are provided. The remote working system includes at least one processor and stores a description file of a workflow. The description file includes a first task description and a second task description. The remote working system receives a service request of executing the workflow. The at least one processor determines a first identification code and a first operation address according to the first task description and calls a first operation program by using the first identification code and the first operation address. A first operation processor executes the first operation program, determines a second identification code and a second operation address according to the second task description, and calls a second operation program by using the second identification code and the second operation address. A second operation processor executes the second operation program.

Abstract: The disclosure provides a data backup system. The data backup system comprises an electronic device and a server. The electronic device is configured to store original data. The server predicts a data size of predicted compressing data and a first predicted compressing time corresponding to the predicted compressing data, which are generated by compressing the original data with a plurality of compressing algorithm respectively. The server fetches a computing resource data of the electronic device and predicts respectively a plurality of second predicted compressing time for which the electronic device compresses the original data according to the computing resource data and the plurality of first predicted compressing time. The server computes a plurality of reference data and generates a recommending command according to a default compressing algorithm of the plurality of the compressing algorithm which corresponds to the minimal reference data.

Abstract: A server and a cloud computing resource optimization method thereof for big data cloud computing architecture are provided. The server runs a dynamic scaling system to perform the following operations: receiving a task message; executing a profiling procedure to generate a profile based on an to-be-executed task recorded in the task message; executing a classifying procedure to determine a task classification of the to-be-executed task; executing a prediction procedure to obtain a plurality of predicted execution times corresponding to a plurality of computing node numbers, a computing node type and a system parameter of the to-be-executed task; executing an optimization procedure to determine a practical computing node number of the to-be-executed task; and transmitting an optimization output message to a management server to make the management server allocate at least one data computing system to execute a program file of the to-be-executed task.

Abstract: A device recommendation system includes an environmental monitoring module, a device monitoring module, an abnormality monitoring module and a decision module. The environmental monitoring module receives environmental data obtained by environmental sensors and generates environmental history data accordingly. The device monitoring module retrieves enablement counts from electronic devices and generates enablement history data accordingly. The abnormality monitoring module determines whether the environmental data exceeds a threshold in a first time section and generates an abnormal signal accordingly. According to the abnormal signal, the decision module calculates the environmental history data based on an initial weight matrix to generate a recommendation data used to change the enablement status of the electronic devices.

Abstract: The detecting method includes: obtaining a testing signal, perform at least one action according to the testing signal, and transmit a request instruction comprising the testing signal; determining that whether the testing signal of the request instruction represents performing a testing mode by a processor; if the processor determines that the testing signal of the request instruction represents performing the testing mode, the processor requests a testing service device to provide at least one service corresponding to the request instruction; collecting a performing order when the processor performing the at least one action and a performing result of each one of the at least one action, and combine the performing order and the performing result as a to-be classified data; and calculating a detecting result according to the to-be classified data, wherein the detecting result represents that whether a snow ball effect will occur.

Abstract: A server and a cloud computing resource optimization method thereof for cloud big data computing architecture are provided. The server runs a dynamic scaling system to perform the following operations: receiving a task message; executing a profiling procedure to generate a profile based on an to-be-executed task recorded in the task message; executing a classifying procedure to determine a task classification of the to-be-executed task; executing a prediction procedure to obtain a plurality of predicted execution times corresponding to a plurality of computing node numbers, a computing node type and a system parameter of the to-be-executed task; executing an optimization procedure to determine a practical computing node number of the to-be-executed task; and transmitting an optimization output message to a management server to make the management server allocate at least one data computing system to execute a program file of the to-be-executed task.

Abstract: A physical machine management device and a physical machine management method are provided. The physical machine management device includes a monitoring unit and a deployment unit which is electrically connected with the monitoring unit. The monitoring unit is configured to monitor information of a hardware pool. The hardware pool includes a first group and a second group which are of different types. The first group includes a physical machine. The deployment unit is configured to move the physical machine from the first group to the second group according to a deployment blueprint and the information. The physical machine management method includes the steps corresponding to the operations of the physical machine management device.

Abstract: A data synchronization system includes a database, a management device, and a synchronization device. The database includes user folders, and the management device includes an authentication module and a data storage module. The authentication module authenticates the identification of the user who uses a client terminal device to log in the authentication module and output an authentication signal based on the result of the identification. The data storage module receives the authentication signal and output an index signal based on the authentication signal. The client terminal device is configured to connect to a corresponding user folder based on the index signal, and the corresponding user folder is used as a major user folder. The synchronization device logs in one of the accounts of a commercial database and synchronizes the data of the account to the major user folder. Furthermore, a method for synchronizing data is also disclosed herein.

Abstract: A data synchronization system includes a database, a management device, and a synchronization device. The database includes user folders, and the management device includes an authentication module and a data storage module. The authentication module authenticates the identification of the user who uses a client terminal device to log in the authentication module and output an authentication signal based on the result of the identification. The data storage module receives the authentication signal and output an index signal based on the authentication signal. The client terminal device is configured to connect to a corresponding user folder based on the index signal, and the corresponding user folder is used as a major user folder. The synchronization device logs in one of the accounts of a commercial database and synchronizes the data of the account to the major user folder. Furthermore, a method for synchronizing data is also disclosed herein.