Abstract: A system and a method for parameter optimization with adaptive search space and a user interface using the same are provided. The system includes a data acquisition unit, an adaptive adjustment unit and an optimization search unit. The data acquisition unit obtains a set of executed values of several operating parameters and a target parameter. The adaptive adjustment unit includes a parameter space transformer and a search range definer. The parameter space transformer performs a space transformation on a parameter space of the operating parameters according to the executed values. The search range definer defines a parameter search range in a transformed parameter space based on the sets of the executed values. The optimization search unit takes the parameter search range as a limiting condition and takes optimizing the target parameter as a target to search for a set of recommended values of the operating parameters.

Abstract: A dynamic prediction model establishment method, an electric device and a user interface are provided. The dynamic prediction model establishment method includes the following steps. An integration model is established by a processing device according to at least one auxiliary data set. The integration model is modified as a dynamic prediction model by the processing device according to a target data set. A sampling point recommendation information is provided by the processing device according to an error degree or an uncertainty degree between the at least one auxiliary data set and the target data set.

Abstract: A sensing device includes a flexible substrate, a reflective layer, a planarization layer, plural switching elements and plural sensing elements. The flexible substrate has plural recesses on a surface. The reflective layer is located on the flexible substrate and conforms to an inner surface of the plural recesses. The planarization layer is disposed on the reflective layer. The plural switching elements are disposed on the planarization layer. The plural sensing elements are disposed on the planarization layer and electrically connected to the plural switching elements respectively. A method for fabricating a sensing device is also provided.

Abstract: The disclosure provides a structure diagnosis system and a structure diagnosis method. The structure diagnosis system includes: a lidar scanner scanning a structure to generate a point cloud data; an input interface receiving the point cloud data; and a processor receiving the point cloud data and generating a point cloud data set. The processor executes a surface degradation and geometry abnormal coupling diagnosis module to: marking a first point cloud range of a surface degradation area according to color space value of the point cloud data set; marking a second point cloud range of a geometry abnormal area according to coordinate value of the point cloud data set; when an abnormal area includes the first point cloud range and the second point cloud range at least partially overlapping each other, determining surface degradation or geometry abnormal occurring at the abnormal area and mark the abnormal area with a predetermined mode.

Abstract: A communication device for handling a cell selection procedure comprises the at least one storage device storing instructions of receiving system information from a first cell of a network, wherein the system information indicates at least one core network (CN) type supported by the first cell; performing a radio resource control (RRC) connection establishment procedure with the first cell, after receiving the system information; indicating a CN type of the at least one CN type to the network during the RRC connection establishment procedure; selecting a second cell of the network in a cell selection procedure, after performing the RRC connection establishment procedure; performing a RRC connection reestablishment procedure with the second cell, if the second cell supports the CN type; and entering an idle mode or transmitting a RRC connection request message to the network, if the second cell does not support the CN type.

Abstract: The disclosure provides a structure diagnosis system and a structure diagnosis method. The structure diagnosis system includes: a lidar scanner scanning a structure to generate a point cloud data; an input interface receiving the point cloud data; and a processor receiving the point cloud data and generating a point cloud data set. The processor executes a surface degradation and geometry abnormal coupling diagnosis module to: marking a first point cloud range of a surface degradation area according to color space value of the point cloud data set; marking a second point cloud range of a geometry abnormal area according to coordinate value of the point cloud data set; when an abnormal area includes the first point cloud range and the second point cloud range at least partially overlapping each other, determining surface degradation or geometry abnormal occurring at the abnormal area and mark the abnormal area with a predetermined mode.

Abstract: A system and a method for parameter optimization with adaptive search space and a user interface using the same are provided. The system includes a data acquisition unit, an adaptive adjustment unit and an optimization search unit. The data acquisition unit obtains a set of executed values of several operating parameters and a target parameter. The adaptive adjustment unit includes a parameter space transformer and a search range definer. The parameter space transformer performs a space transformation on a parameter space of the operating parameters according to the executed values. The search range definer defines a parameter search range in a transformed parameter space based on the sets of the executed values. The optimization search unit takes the parameter search range as a limiting condition and takes optimizing the target parameter as a target to search for a set of recommended values of the operating parameters.

Abstract: A parameter optimization method includes: a parameter search is performed on an input parameter, an output response value and a target value through a plurality of optimization schemes to search for a plurality of candidate recommended parameters. Each optimization scheme is assigned to a weight value according to user historical decision information. At least one recommended parameter is selected from the candidate recommended parameters according to the weight values. An user interface is provided for a user to input a decision instruction. A new input parameter is selected from the at least one recommended parameter according to the decision instruction; the new input parameter is inputted into the target system; and a new output response value is evaluated whether meets a specification condition. The user historical decision information is updated based on the decision instruction to adjust the weight values.

Abstract: A communication device for handling a User Plane Evolved Packet System (EPS) Optimization procedure comprises a storage unit for storing instructions and a processing circuit coupled to the storage unit. The processing circuit is configured to execute the instructions stored in the storage unit. The instructions a RRC layer of the communication device receiving system information from a cell of a network; the RRC layer informing an EPS mobility management (EMM) layer of the communication device that a User Plane EPS Optimization functionality (e.g., a resume/suspend functionality) is allowed in the cell, when the system information indicates that the User Plane EPS Optimization functionality is allowed; and the RRC layer informing the EMM layer that the User Plane EPS Optimization functionality is not allowed in the cell, when the system information indicates that the User Plane EPS Optimization functionality is not allowed.

Abstract: A dynamic prediction model establishment method, an electric device and a user interface are provided. The dynamic prediction model establishment method includes the following steps. An integration model is established by a processing device according to at least one auxiliary data set. The integration model is modified as a dynamic prediction model by the processing device according to a target data set. A sampling point recommendation information is provided by the processing device according to an error degree or an uncertainty degree between the at least one auxiliary data set and the target data set.

Abstract: A prediction model building method for a processing machine is provided. While a workpiece is manufactured by the processing machine, a machine parameter set is generated. After the workpiece is manufactured, the workpiece is measured and a workpiece quality parameter set is generated. Then, a component status is determined according to the machine parameter set. Then, a workpiece quality prediction model in the component status is built according to the machine parameter set, the workpiece quality parameter set and the component status.

Abstract: A health assessment method and a health assessment device of a workpiece processing apparatus are disclosed. The health assessment method includes the following steps. Acquire a first sensing data related to the workpiece processing apparatus at an operation stage of the workpiece processing apparatus. Set the first sensing data as a substitution of a first transform model to acquire a virtual workpiece quality. Set the virtual workpiece quality as a substitution of a second transform model to acquire a first virtual apparatus health index.

Abstract: A communication device for handling a cell selection procedure or a cell reselection procedure comprises a storage device and a processing circuit, coupled to the storage device. The storage device stores, and the processing circuit is configured to execute instructions of: measuring a plurality of power values corresponding to a plurality of beams of a cell; determining a first cell quality value according to an average of the plurality of power values; determining an offset value according to a number of the plurality of beams corresponding to the plurality of power values; determining a second cell quality value according to the first cell quality value and the offset value; and performing the cell selection procedure or the cell reselection procedure according to the second cell quality value.

Abstract: A parameter optimization method includes: a parameter search is performed on an input parameter, an output response value and a target value through a plurality of optimization schemes to search for a plurality of candidate recommended parameters. Each optimization scheme is assigned to a weight value according to user historical decision information. At least one recommended parameter is selected from the candidate recommended parameters according to the weight values. An user interface is provided for a user to input a decision instruction. A new input parameter is selected from the at least one recommended parameter according to the decision instruction; the new input parameter is inputted into the target system; and a new output response value is evaluated whether meets a specification condition. The user historical decision information is updated based on the decision instruction to adjust the weight values.

Abstract: A communication device for handling a cell selection procedure comprises the at least one storage device storing instructions of receiving system information from a first cell of a network, wherein the system information indicates at least one core network (CN) type supported by the first cell; performing a radio resource control (RRC) connection establishment procedure with the first cell, after receiving the system information; indicating a CN type of the at least one CN type to the network during the RRC connection establishment procedure; selecting a second cell of the network in a cell selection procedure, after performing the RRC connection establishment procedure; performing a RRC connection reestablishment procedure with the second cell, if the second cell supports the CN type; and entering an idle mode or transmitting a RRC connection request message to the network, if the second cell does not support the CN type.

Abstract: A method of handling a RRC connection resume procedure between a first layer and a second layer of a communication device, the method comprises the first layer in a first idle mode with suspend indication transmit a first request message for resuming a RRC connection and at least one first identity parameter to the second layer, after receiving a suspend indication from the second layer; the second layer transmit the RRC connection resume request message to the network, after receiving the first request message from the first layer; the second layer receive a first RRC connection setup message from the network, after transmitting the RRC connection resume request message to the network; and the second layer transmit a first RRC connection setup complete message comprising the at least one first identify parameter to the network, after receiving the first RRC connection setup message from the network.

Abstract: A communication device for handling system information comprises a storage unit for storing instructions and a processing circuit coupled to the storage unit. The processing circuit is configured to execute the instructions stored in the storage unit. The instructions comprise receiving a radio resource control (RRC) connection release message from a network; and acquiring changed system information, after receiving the RRC connection release message and before initiating a RRC connection establishment procedure.

Abstract: A communication device for handling a user equipment (UE) access stratum (AS) context comprises a storage device for storing instructions and a processing circuit coupled to the storage device. The processing circuit is configured to execute the instructions stored in the storage device.

Abstract: A method of handling a RRC connection resume procedure between a NAS layer and a RRC layer of a communication device, comprising the RRC layer entering a RRC idle mode and camping on a first cell of a network; the NAS layer in a NAS idle mode with suspend indication transmitting a first request message to the RRC layer to resume a RRC connection; the RRC layer starting a timer and transmitting a first RRC connection resume request message to the network, after receiving the first request message from the NAS layer; the RRC layer reselecting a second cell of the network, when the timer is running; and the RRC layer informing the NAS layer a failure of resuming the RRC connection with a first suspend indication.

Abstract: A communication device for handling a RRC connection comprises a storage unit and a processing circuit. The processing circuit is configured to execute instructions stored in the storage unit. The instructions comprise transmitting a first resume request message with a first resume identity for requesting a resume of the RRC connection to a first cell of a network; receiving a resume reject message from the first cell of the network; determining the first resume identity and at least one radio resource corresponding to the first resume identity are valid and keeping the first resume identity and the at least one radio resource, if the resume reject message comprises an indicator; and determining the first resume identity and the least one radio resource are invalid and releasing the first resume identity and the at least one radio resource, if the resume reject message does not comprise the indicator.