Abstract: A file vulnerability detection method includes: translating a binary file into an intermediate file; analyzing the intermediate file to obtain multiple functions to be tested; establishing function characteristic data of each of the functions to be tested; and comparing correlations between the function characteristic data of each of the functions to be tested and at least one pair of characteristic data with vulnerability of at least one vulnerability function and characteristic data without vulnerability of the at least one vulnerability function in a vulnerability database based on a characteristic model to determine whether each of the functions to be tested corresponding to each function characteristic data has a vulnerability, wherein the characteristic model has information representing multiple back-end binary files generated by multiple back-end platforms, wherein the characteristic data with vulnerability has the vulnerability, and the characteristic data without vulnerability does not have the vuln

Abstract: An attack path detection method, attack path detection system and non-transitory computer-readable medium are provided in this disclosure. The attack path detection method includes the following operations: establishing a connecting relationship among a plurality of hosts according to a host log set to generate a host association graph; labeling at least one host with an abnormal condition on the host association graph; calculating a risk value corresponding to each of the plurality of hosts; in a host without the abnormal condition, determining whether the risk value corresponding to the host without the abnormal condition is greater than a first threshold, and utilizing a host with the risk value greater than the first threshold as a high-risk host; and searching at least one host attach path from the high-risk host and the at least one host with the abnormal condition according to the connecting relationship of the host association graph.

Abstract: A base station is disclosed. The base station includes several radio devices and a core network device. The core network device is connected to the several radio devices and is configured to determine a first user location data corresponding to a user device according to a user uplink transmission data and several user location data, and to determine whether to allow the user device to perform a data uplink transmission operation or not according to the first user location data. The user uplink transmission data is uplink transmitted by the user device, and the several user location data are establish according to the several radio devices and several user locations. The several user location data include the first user location data.

Abstract: A base station transmits a paging message carrying a contention-free early-data transmission indication to a user equipment, and transmits a random access response message carrying early downlink data to the user equipment in response to a random access request message transmitted by the user equipment in a random access procedure. A base station transmits a paging message carrying a contention-based early-data transmission indication to the user equipment, and transmits an RRC response message carrying early downlink data to the user equipment in response to an RRC request message transmitted by the user equipment in a random access procedure. In a random access procedure, user equipment generates and transmits a scheduling request message to a base station after receiving early downlink data transmitted by the base station, and transmits uplink data corresponding to the early downlink data to the base station according to an uplink grant transmitted by the base station.

Abstract: An augmented reality processing device is provided, comprising an image capturing circuit and a processor. The processor is connected to the image capturing circuit, and execute operations of: generating an original point cloud image according to the first environment image and a physical object in the first environment image; generating an expanded point cloud image corresponding to the physical object from the second environment image according to the first environment image and the physical object point cloud set, and generating a superimposed point cloud image according to the expanded point cloud image and the original point cloud image; and generating a transformation matrix according to the original point cloud image and the expanded point cloud image, and superimposing a virtual object to the second environment image according to the superimposed point cloud image and the transformation matrix.

Abstract: A data processing method based on Trojan circuit detection includes controlling a processor, in a testing stage, to perform following steps: obtaining a plurality of characteristic values corresponding to a logic gate circuit; performing a distribution adjustment operation on the characteristic values to generate a plurality of adjusted characteristic values; and performing classification on the adjusted characteristic values to generate a logic identification result.

Abstract: A traffic control method, adapted to a server, includes detecting a packet sent by user equipment and transmitted through a base station to obtain packet information of the packet, wherein the packet information comprises an Internet protocol address, determining whether the packet information is abnormal, tagging identification information corresponding to the Internet protocol address when the packet information is abnormal, and blocking a connection between the user equipment and a network based on the identification information.

Abstract: The present disclosure is a method and a system for dynamically switching transmission modes to increase reliability in unlicensed controlled environments (UCEs). The system includes a user equipment (UE) to execute the method. When a next generation Node B (gNB) cannot successfully receive or decode data transmitted by the UE, the UE will receive a dynamic grant (DG) signal transmitted by the gNB. When the UE can receive the DG signal, the UE will start a configured grant (CG) timer and count a CG counter, and the UE will calculate a CG weight. The UE determines communication quality between the UE and the gNB according to the CG weight. When the CG weight is greater than a CG threshold, the UE determines communication quality is bad, and switches to a CG transmission mode to increase reliability for transmitting the data. Therefore, spectrum usage efficiency in the UCEs can be improved.

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: An assistance system for guiding exercise postures in a live broadcast has a cloud server, at least one first electronic device, and a second electronic device. The cloud server stores a teaching video and multiple templates corresponding to different time segments in the teaching video. Each one of the templates has multiple preset skeleton checking points and multiple movement threshold values respectively corresponding to the multiple preset skeleton checking points. The at least one first electronic device records an image of a first user to generate a skeleton streaming data. In a live broadcast, the at least one first electronic device determines whether the skeleton streaming data is abnormal according to the multiple templates. When abnormal, the at least one first electronic device outputs an abnormality notification. The second electronic device receives the abnormality notification in the live broadcast and displays the abnormality notification and a corresponding message.

Abstract: An energy dispatch system, apparatus, and method are disclosed. The energy dispatch system includes a server and multiple site controllers respectively corresponding to multiple users. Each user corresponds to an energy storage device, and each energy storage device has a stage of charge. The server determines a scheduled power consumption target of each scheduling period for each user according to a total support power, multiple power consumption references of the users, and the stages of charge. The server transmits each scheduled power consumption target corresponding to a first scheduling period of the scheduling periods to the corresponding site controller.

Abstract: A system and method for generating basic information for positioning and a self-positioning determination device are disclosed. The system includes an information supplying device and a computing device. The information supplying device recognizes an object position and an object category of each of a plurality of reference objects and accordingly generates a reference unique feature value for each reference object, and the computing device generates basic information for positioning according to the reference unique feature values. The self-positioning determination device recognizes an object position and an object category of a current object and accordingly generates a current unique feature value for the current object, and determines a position of itself according to the current unique feature value, the basic information for positioning, and a distance and an angle between the self-positioning determination device and the current object.

Abstract: An operating method for a Battery Energy Storage System (BESS) is provided. The BESS includes a processor and a plurality of energy storage units coupled in parallel, wherein each energy storage unit includes a Power Conservation System (PCS) and a battery module. The operating method includes performing following steps by the processor: obtaining a dedicated operation power of the BESS; calculating a remaining operation period of each energy storage unit according to a maximum operation power of each PCS and a remaining power quantity of each battery module; determining an operational order corresponding to the plurality of energy storage units according to the remaining operation period of the plurality of energy storage units and the dedicated operation power of the BESS; and controlling an operation of each energy storage unit according to the operational order.

Abstract: A machine reading comprehension method includes the following operations: performing a relation augment self attention (RASA) feature extraction process on at least one historical dialogue data and a current question data respectively to obtain at least one historical dialogue feature and a current question feature; and performing a machine reading comprehension (MRC) analysis according to the at least one historical dialogue feature and the current question feature to obtain a response output.

Abstract: A warning system and method are provided. The warning system includes a plurality of sensing apparatuses and a server. The sensing apparatuses are used for sensing a driving trajectory of each of a plurality of two-wheeled vehicles. The server compares the driving trajectories with an accident hotspot list to determine whether at least one first driving trajectory matches an accident hotspot location, wherein the accident hotspot list is generated by a plurality of driving behavior events corresponding to each of the two-wheeled vehicles. The server generates a warning message to remind a first driver of a first two-wheeled vehicle corresponding to the at least one first driving trajectory when determining that the at least one first driving trajectory matches the accident hotspot location.

Abstract: A 3D bounding box reconstruction method includes obtaining masks corresponding to a target object in images, obtaining a trajectory direction of the target object according to the masks, generating a target contour according to one of the masks, transforming the target contour into a transformed contour using a transformation matrix, obtaining a first bounding box according to the transformed contour and the trajectory direction, transforming the first bounding box into a second bounding box corresponding to the target contour using the transformation matrix, obtaining first reference points according to the target contour and the second bounding box, transforming the first reference points into second reference points using the transformation matrix, obtaining a third bounding box using the second reference points, transforming the third bounding box into a fourth bounding box using the transformation matrix, and obtaining a 3D bounding box using the second bounding box and the fourth bounding box.

Abstract: A user equipment (UE) and a base station (BS) for a mobile communication system are provided. The UE receives, from the BS, a first downlink control information (DCI) indicating a first uplink resource for transmitting a first uplink signal, and then receives, from the BS, a second DCI indicating a second uplink resource for transmitting a second uplink signal. The BS configures the second uplink resource to be advanced to the first uplink resource in the time domain based on the uplink out-of-order configuration. The UE decides the transmission of the first uplink signal according to the condition of resource configuration.

Abstract: An exercise assisting device and exercise assisting method are provided. The device performs the following operations: transmitting a first control signal, the first control signal is related to a motion demonstration video corresponding to an exercise course data; receiving a video stream of a user; analyzing the video stream to generate a motion recognition result corresponding to the exercise course data of the user, and determining whether a motion target value is achieved according to the motion recognition result and the exercise course data; and when the motion target value is not achieved, the motion recognition result and the motion target value are input into an expert suggestion model to generate a follow-up motion suggestion and to determine a follow-up motion demonstration video corresponding to the follow-up motion suggestion.

Abstract: An object detection method for a 3D mammogram is disclosed. The object detection method comprises steps of: controlling N filters to execute a filtering computation in the 3D mammogram respectively to generate N 3D filtering images; computing a difference variation among the plurality of voxels to obtain a blurriness value of the plurality of voxels; using the blurriness value of the plurality of voxels in a decision module to execute a plurality of first decision operators to generate a plurality of first decision results, and using one of the plurality of first decision results to execute the plurality of second decision operators to generate a plurality of second decision results; and executing a final decision operator by using the plurality of first decision results and the plurality of second decision results to generate a detection object of the 3D mammogram.

Abstract: An extended reality space generating apparatus and method are provided. The extended reality space generating apparatus generates a plurality of plane plates, a plate coordinate and a normal vector corresponding to each of the plane plates based on a plurality of point clouds, wherein the point clouds correspond to a real space. The extended reality space generating apparatus compares the plate coordinates and the normal vectors of the plane plates in a visual window to generate an effective plane plate set. The extended reality space generating apparatus generates an extended reality space corresponding to the real space based on the effective plane plate set.