Abstract: An abnormal behavior detection model building apparatus and an abnormal behavior detection model building method thereof are provided. The abnormal behavior detection model building apparatus analyzes the parts of speech of a plurality of program operation sequences in a plurality of program operation sequence data associated with abnormal behaviors to generate a plurality of word vectors and cluster the word vectors. Based on the result of the clustering, the abnormal behavior detection model building apparatus obtains a feature vector of each of the program operation sequence data, and perform a supervised learning for a classification algorithm by using the feature vectors so as to build an abnormal behavior detection model.

Abstract: A charge and discharge control apparatus and method are provided. The charge and discharge control apparatus decides multiple discharge time intervals and multiple discharge power values for an energy storage according to a predicted load curve and a peak shaving threshold and decides multiple charge time intervals and multiple charge power values for the energy storage according to the predicted load curve and a customer base line. The peak shaving threshold is between a contracted capacity and a peak value of the predicted load curve. A difference between the peak value and the peak shaving threshold is not greater than a maximum discharge power of the energy storage. The customer base line is between the contracted capacity and a valley value of the predicted load curve. A difference between the customer base line and the valley value is not greater than a maximum charge power of the energy storage.

Abstract: A user equipment (UE) and a base station (BS) are provided. The UE receives an uplink transmission configuration message indicating a pre-configured radio resource pool and an uplink control configuration message indicating an uplink control radio resource in the pre-configured radio resource pool from the BS. The UE transmits an uplink control message on the uplink control radio resource and transmits an uplink data signal on an uplink data radio resource in the pre-configured radio resource pool so that the BS receives the uplink data signal according to the uplink control message.

Abstract: A transmission apparatus and a transmission data protection method thereof are provided. The transmission apparatus stores a data table, a bloom filter, a first randomization array, a plurality of second randomization arrays and an identifier of each of the second randomization arrays. The bloom filter has a plurality of independent hash functions. The transmission apparatus generates a current original datum according to the data table; inputs the current original datum to the bloom filter as a current input datum of the bloom filter to output a current bloom datum; randomizes the current bloom datum according to the first randomization array to generate a current first randomized datum; randomizes the current first randomized datum according to one of the second randomization arrays to generate a current second randomized datum; and transmits a data signal carrying the current second randomized datum and an identification datum to another transmission apparatus.

Abstract: A user equipment (UE) and a base station (BS) are provided. The UE transmits a first uplink signal to the BS based on a current data repetition transmission parameter. After receiving a dynamic indication message from the BS, the UE generates an updated data repetition transmission parameter according to the dynamic indication message. The UE transmits a second uplink signal to the BS based on the updated data repetition transmission parameter.

Abstract: A base station, a user equipment (UE), a transmission control method for the base station and a data transmission method for the UE are provided. The base station generates an uplink (UL) resource association message that indicates the association between multiple downlink (DL) transmit (Tx) beams and multiple UL beam recovery resources. The base station transmits the UL resource association message to the UE. Upon detecting that a DL Tx beam failure event occurs on a beam pair link with the base station, the UE performs an UL transmission on a first UL beam recovery resource of the UL beam recovery resources. The base station transmits, in response to the UL transmission of the UE, a beam configuration message to the UE, so as to configure a first DL Tx beam associated with the first UL beam recovery resource into the beam pair links.

Abstract: A base station (BS) and a user equipment (UE) for a mobile communication system are provided. The BS transmits first downlink control information (DCI) indicating a first uplink radio resource to a UE and transmits second DCI indicating a second uplink radio resource to another UE. The second uplink radio resource has an overlapping part with the first uplink radio resource. The BS further transmits third DCI to the UE in response to the overlapping part. The third DCI indicates transmission adjustment information.

Abstract: A detection system and method thereof are provided. The detection method comprises the following steps: decompiling a first application package file to generate a plurality of first decompiled files, and the first decompiled files comprising a first decompiled code; comparing the first decompiled code with a second decompiled code of a second application package file to analyze a different code segment between the first decompiled code and the second decompiled code; classifying a changed code type corresponding to the different code segment according to a function call flow of the first decompiled code; loading a correspondence table and selecting at least one detection rule corresponding to the changed code type in the correspondence table; confirming a detection region of the first decompiled code according to the at least one detection rule; and detecting the detection region to generate a security detection result.

Abstract: A model building server and model building method thereof are provided. The model building server stores a model building program having a configuration combination. The model building server randomly generates a plurality of first configuration combination codes for feature categories, model algorithm categories and hyperparameters to set the configuration combination, and runs the model building program based on a first optimization algorithm to determine a first model. According to at least one determined feature category and at least one determined model algorithm category indicated by the configuration combination code corresponding to the first model, the model building server randomly generates a plurality of second configuration combination codes for features, model algorithms and hyperparameters to set the configuration combination, and runs the model building program based on a second optimization algorithm to determine an optimization model.

Abstract: An apparatus, method, and non-transitory computer readable storage medium for generating control instructions based on text are provided. The apparatus analyzes a text with at least one string to generate a text timestamp document, analyzes the at least one string to generate a plurality of pieces of emotion information, a plurality of pieces of action information, and a plurality of pieces of environment information, and decides a plurality of emotion tags and their corresponding timestamps, a plurality of action tags and their corresponding timestamps, and a plurality of environment tags and their corresponding timestamps according to a feature database. The apparatus further generates control instruction(s) and the corresponding timestamp(s) according to the emotion tags and their corresponding timestamps, the action tags and their corresponding timestamps, and the environment tags and their corresponding timestamps.

Abstract: A display system for an issue comprises an input unit, a display unit and an processing unit. The input unit receives an initial keyword corresponding to an issue. The display unit displays at least a derivative issue generated from the issue during a time period according to time-based characteristics. The processing unit coupled to the input unit and the display unit obtains tags of subject contents of web pages, and obtains a present keywords group according to co-occurrence correlation of the tags. The processing unit analyzes the correlation between the present keywords calculated based on social voice, analyzing overlap rate for the present keywords compared with the initial keywords, and compares correlation between the present keywords with correlation between the initial keywords calculated based on social voice, in order to determine whether at least one of the derivative issue is generated.

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 method for transmitting reference signals includes: determining, by a wireless transmitting device, a first vector set used for calculating a first vector subspace that includes a channel frequency response vector corresponding to a subcarrier; calculating, by the wireless transmitting device, a second vector set including several second vectors derived from performing dot product operations to each vector in the first vector set with a conjugate vector of each vector in the first vector set; calculating, by the wireless transmitting device, a null space of a second vector subspace spanned by the second vector set and determining, by the wireless transmitting device, a cover code from the null space; and transmitting a first reference signal and a second reference signal which is a dot product of the first reference signal and the cover code on the subcarrier from the wireless transmitting device to a wireless receiving device.

Abstract: An apparatus and a method thereof for determining a control condition set of a production line. The apparatus divides several historical control condition sets into several groups, wherein the historical control conditions corresponding to the same control factor are the same in each group. For each group, the apparatus calculates a measurement of central tendency according to the historical yield related values in the group. The apparatus decides a subset of the groups. For each group in the subset, the apparatus calculates a degree of variation and a number regarding the different control conditions between the control condition set and the group. The apparatus calculates weight scores. Based on the measurements of central tendency and the weight scores, the apparatus selects one of the groups as a selected group and assigns the historical control conditions of the selected group as the control conditions of the control condition set.

Abstract: An object tracking method and system in multiple non-linear distortion lenses are provided. A deep learning method is used for training an object identification model, an object comparison model, and a coordinate mapping model. The object identification model and the object comparison model are used for identifying and comparing objects with non-linear distortion respectively in order to find a plurality of groups of corresponding object information for the same objects in visions of multiple image capturing apparatuses. The coordinate mapping model is used for verifying the plurality of groups of corresponding object information, and finding all position mappings in visions of multiple image capturing apparatuses via the verified plurality of groups of corresponding object information.

Abstract: A virtual space positioning method and apparatus are provided. The virtual space positioning method is adapted for a human machine interface (HMI) and includes the steps of: receiving a plurality of first sensed data sets from an inertial measurement unit (IMU), determining that a data feature of the first sensed data sets conforms to a first predetermined data model, receiving a plurality of second sensed data sets from the IMU, determining that a data feature of the second sensed data sets conforms to a second predetermined data model, calculating a moving direction and a moving distance according to the first sensed data sets and the second sensed data sets, defining a first coordinate system of a real space according to the moving direction and the moving distance, and creating a relationship between the first coordinate system and the second coordinate system of a virtual space corresponding to the HMI.

Abstract: An alarm system is used for a vehicle including a fuel pump and an engine. The alarm system includes a measuring device, a computing device and a warning device. The measuring device is used to read a current rotation speed of the engine and respectively measures a plurality of running times of a plurality of rotation speed values of the current rotation speed. The computing device calculates a plurality of consuming times of the fuel pump corresponding to the rotation speed values according to the running times of the rotation speed values, respectively. When an accumulating consuming time accumulated by the consuming times reaches a default critical value, the warning device generates a warning message.

Abstract: An image annotation method includes the following. Image frames are acquired. One or more target objects are identified and tracked from the image frames. Candidate key image frames are selected from the frames according to a first selection condition. First similarity indexes of the candidate key image frames are determined. Second similarity indexes of a plurality of adjacent frames are determined. The candidate key image frames as well as the adjacent frames that meet a second selection condition are selected as key image frames. The key image frames are displayed on a graphical user interface. Annotation information about the one or more target objects is display through the graphical user interface.

Abstract: A base station and a user equipment are provided. The base station performs a multi-user non-orthogonal uplink multiplexing transmission configuration procedure to generate an uplink multiplexing transmission configuration message based on a radio resource utilization efficiency. The uplink multiplexing transmission configuration message carries a power domain uplink multiplexing transmission parameter and a non-orthogonal uplink multiplexing transmission parameter. The base station transmits the uplink multiplexing transmission configuration message to the user equipment to make the user equipment transmit an uplink data signal to the base station according to the uplink multiplexing transmission configuration message.

Abstract: An image object tracking method and apparatus are provided. The image object tracking method includes the steps of: determining a feature point of a target object in a first frame, determining a prediction point of the feature point in a second frame, calculating an estimated rotation angle of an image capturing device according to a distance between the coordinate of the prediction point and the coordinate of the feature point and a distance between the image capturing device and the target object, calculating a lens rotation angle of the image capturing device rotated from a time point that the first frame is captured to a time point that the second frame is captured according to a piece of inertial measurement information provided by an inertial measurement unit, and determining whether the prediction point corresponds to the feature point by comparing the estimated rotation angle and the lens rotation angle.