Abstract: A user equipment (UE) and a base station (BS) are provided. The UE transmits a specific preamble on a random access channel and transmits an uplink data signal and a demodulation reference signal (DMRS) on an uplink transmission radio resource so that the BS receives the uplink data signal and the DMRS according to the specific preamble after receiving the specific preamble. The BS transmits a downlink data signal on a downlink transmission radio resource according to the specific preamble so the UE receives the downlink data signal on the downlink transmission radio resource according to the specific preamble.

Abstract: A determination apparatus and method for gaze angle are provided. The apparatus analyzes an image to generate a plurality of facial triaxial positioning values and a plurality of facial landmark points. The apparatus obtains a plurality of specific facial landmark points from the facial landmark points to generate a heatmap, and compares the heatmap with a standard heatmap to generate an image compensation value. The apparatus performs a facial correcting process based on the image and the image compensation value to generate a virtual corrected image. The apparatus analyzes the virtual corrected image to obtain a displacement of pupil. The apparatus determines a gaze angle of a user according to a determination model for gaze angle, the facial triaxial positioning values and the displacement of pupil.

Abstract: A malicious software recognition apparatus and method are provided. The malicious software recognition apparatus stores a training dataset, which includes a plurality of network flow datasets. Each network flow dataset corresponds to one of a plurality of software categories, and the software categories include a plurality of malicious software categories. The malicious software recognition apparatus tests a malicious software recognition model and learns that a plurality of recognition accuracies of a subset of the malicious software categories are low, determines that an overlap degree of the network flow datasets corresponding to the subset is high, updates the software categories by combining the malicious software categories corresponding to the subset, updates the training dataset by integrating the network flow datasets corresponding to the subset, trains the malicious software recognition model according to the updated training dataset.

Abstract: A data analyzing device, a data analyzing method, and a quality improvement system are provided. The data analyzing device includes a combination generating module, a ratio calculation module, and a weighting calculation module. The data analyzing device performs relevance analysis of to-be-analyzed data associated with a production operation procedure to generate relevance information. The ratio calculation module calculates a ratio parameter according to a total outlier product quantity corresponding to risky combinations in the relevance information and a total product quantity in the to-be-analyzed data. The weighting calculation module calculates a weighting parameter according to a number of the risky combinations in the relevance information and a total number of combinations of production control factors in the to-be-analyzed data. A production equipment selectively adjusts settings of the production operation procedure according to the ratio parameter and the weighting parameter.

Abstract: A virtuality-reality overlapping method is provided. A point cloud map related to a real scene is constructed. Respective outline border vertexes of a plurality of objects are located by using 3D object detection. According to the outline border vertexes of the objects, the point cloud coordinates of the final candidate outline border vertexes are located according to the screening result of a plurality of projected key frames. Then, the point cloud map is projected to the real scene for overlapping a virtual content with the real scene.

Abstract: A wireless transmission method for Narrow Band-Internet of Things (NB-IoT) includes: receiving, by a user equipment, a parameter of scheduling delay from a base station; calculating, by the user equipment, a target subframe, designated by the base station, in a sequence of Time-Division Duplex (TDD) subframes according to the parameter of scheduling delay and a reference subframe in the sequence of TDD subframes; and performing, by the user equipment, a wireless transmission with the base station in the target subframe; wherein the parameter of scheduling delay corresponds to the number of available subframes between the reference subframe and the target subframe in the sequence of TDD subframes, and categories of the available subframes are related to the direction of the wireless transmission.

Abstract: An electronic apparatus, system, and method for providing body posture health information are provided. The method includes the steps of: calculating a posture data cluster based on signals detected by an inertial sensor disposed on a human body; comparing the posture data cluster with a plurality of preset posture data clusters individually to determine whether the posture data cluster matches one of the preset posture data clusters; if it matches one of the preset posture data clusters, generating a feedback message; calculating a plurality of muscle status indexes based on signals detected by electromyography sensors disposed on the human body; comparing the muscle status indexes with corresponding preset muscle status indexes individually to determine whether one of the muscle status indexes is abnormal; providing suggestion information in response to at least one of the muscle status indexes being abnormal; and displaying a multimedia corresponding to the suggestion information.

Abstract: A semantic analysis method, semantic analysis and non-transitory computer-readable medium are provided in this disclosure.

Abstract: A user equipment (UE) and a base station (BS) for a mobile communication system are provided. The UE divides a plurality of uplink radio resources into at least one group and determines whether there exist pieces of uplink information corresponding to the uplink radio resources. When the corresponding pieces of the uplink information exist, the UE determines whether there exist overlapped periods in the time domain among the corresponding uplink radio resources. For any two of the corresponding uplink radio resources having the overlapped period, the UE decides how to transmit the corresponding pieces of uplink information based on whether the two of the corresponding uplink radio resources belonging to the same group or not, whether the corresponding pieces of uplink information can be jointly transmitted or not, and the priorities of the uplink information.

Abstract: A device for producing test data stores a plurality of simulated test data each of which substantially conforms to the data format accepted by a device under test (DUT). The data format includes different data blocks. The device for producing test data also mutates each of the simulated test data in one of a plurality of mutation forms to generate a plurality of first test data for testing the DUT. Each of the mutation forms refers to mutating one of the data blocks in one of a plurality of mutation ways.

Abstract: A virtual time control apparatus, method, and non-transitory computer readable storage medium thereof are provided. The virtual time control apparatus includes a system timer, a real time clock, and a processing unit, wherein the processing unit is electrically connected to the system timer and the real time clock. The system timer has an original timer period, while the real time clock has an original tick period. The processing unit executes a hypervisor. The hypervisor generates a virtual timer period according to an adjustment ratio and the original timer period. The hypervisor generates a virtual tick period according to the adjustment ratio and the original tick period.

Abstract: A method for early data transmission during a random access procedure including receiving a system information block from a base station; determining, by the user equipment, whether to carry early uplink data in an radio resource control (RRC) connection request message according to a maximum transport block size included in the system information block; and selecting a candidate transport block size from a plurality of optional transport block sizes according to the number of resource units indicated by a random access response message transmitted by the base station, and transmitting the RRC connection request message including the early uplink data to the base station with all or a part of the number of resource units according to the candidate transport block size, if the user equipment determines to carry the early uplink data in the RRC connection request message.

Abstract: An abnormal flow detection device and an abnormal flow detection method thereof are provided. The abnormal flow detection device analyses a plurality of packets captured during a time interval to obtain a plurality of flow features of each packet and selects at least one key flow feature from the flow features based on a dimensionality reduction algorithm. The abnormal flow detection device trains a bidirectional generative adversarial network (BiGAN) by taking the at least one key flow feature of each packet as an input of the BiGAN to build a flow recognition model for detecting abnormal flows.

Abstract: A breast image analysis method, breast image analysis system and non-transitory computer-readable medium are provided in this disclosure. The breast image analysis method includes the following operations: inputting a first breast image and a second breast image; extracting a plurality of first feature points of the first breast image and a plurality of second feature points of the second breast image; calibrating the first breast image and the second breast image according to the first feature points and the second feature points to generate a first calibration image and a second calibration image; calculating a first difference image and calculating a second difference image; utilizing an image analysis model to respectively determine whether the first difference image and the second difference image are symmetric; and generating an analysis report representing a symmetry result or an asymmetry result.

Abstract: A network system includes Internet of Things (IoT) devices, computation server, and gateways. At least one of the computation servers is configured to: tag, according to a signal quality of a signal of the IoT devices, the IoT devices as first devices and second devices; compute a device number of the first devices connecting with the gateways, and while the gateways are connected to the second devices, compute a gateway number the second devices capable of connecting to; compute a load index associated with the device number and the gateway number of the gateways; compute a transmission energy consumption index of a first link between the gateways and the computation servers; select, according to the load index and the transmission energy consumption index of the gateways; and obtain a communication network, wherein the communication network comprises the first devices, the second devices, and the gateways selected.

Abstract: A user equipment (UE) and a base station (BS) for a mobile communication system are provided. The UE transmits a preamble to the BS on a physical random access channel of an active uplink bandwidth part of a plurality of uplink bandwidth parts and receives a random access response message from the BS on an active downlink bandwidth part of a plurality of downlink bandwidth parts according to a linkage. The linkage defines that the active downlink bandwidth part corresponds to the active uplink bandwidth part.

Abstract: A method for early data transmission in a random access procedure includes: a base station broadcasting system information; the base station receiving a random access request message which is transmitted by a user equipment according to a random access channel resource for the early data transmission; the base station determining an uplink grant; the base station transmitting a random access response message carrying the uplink grant to the user equipment; and the base station receiving an RRC (Radio Resource Control) request message carrying an early uplink data of the user equipment.

Abstract: A space coordinate converting server and method thereof are provided. The space coordinate converting server receives a field video recorded with a 3D object from an image capturing device, and generates a point cloud model accordingly. The space coordinate converting server determines key frames of the field video, and maps the point cloud model to key images of the key frames based on rotation and translation information of the image capturing device for generating a characterized 3D coordinate set. The space coordinate converting server determines 2D coordinates of the 3D object in key images, and selects 3D coordinates from the characterized 3D coordinate set according to the 2D coordinates. The space coordinate converting server determines a space coordinate converting relation according to marked points of the 3D object and the 3D coordinates.

Abstract: An image processing method and an image processing device are provided. The image processing method includes the following steps. A light source is projected onto a 3D model via a plurality of projecting locations to generate a plurality of facial shadow pictures. The facial shadow pictures are superimposed to generate a composite shadow picture. An eye-eyebrow location, a nose location and a mouth location in a 2D facial map are obtained by way of analyzing according to the composite shadow picture. A plurality of characteristic points are calculated according to the eye-eyebrow location, the nose location and the mouth location in the 2D facial map.

Abstract: A data processing apparatus and a data processing method thereof for an Internet of Things (IoT) system are provided. The data processing apparatus generates a plurality of diagnosis rule data, diagnoses each of the device data received from at least one IoT apparatus to generate a plurality of diagnosis log data, packages the device data, the diagnosis log data and the diagnosis rule data respectively based on a preset data amount to generate a plurality of device files, a plurality of diagnosis log files and a plurality of diagnosis rule files individually, stores each device file, each diagnosis log file and each diagnosis rule file in an interplanetary file system individually, and stores hash values of each device file, each diagnosis log file and each diagnosis rule file in a blockchain system individually.