Abstract: A management system, a smart meter, a server, an operation method and a management method are provided. The management system includes a remote server and at least one smart meter. The smart meter is coupled to the remote server via a communication network. The smart meter measures electrical energy of at least one power line to obtain at least one batch of electricity data. The smart meter detects whether the loading event occurs. If the loading event occurs, the smart meter performs data compression on the electricity data obtained during an event period corresponding to the loading event to obtain compressed data, and uploads the compressed data to the remote server. The remote server performs data decompression on the compressed data to obtain decompressed data. The remote server performs load identification according to the decompressed data.

Abstract: A method for identifying an electric appliance and an apparatus and a system thereof are provided. The method includes the following steps: respectively collecting a first power event on a first phase power and a second power event on a second phase power; when the first power event and/or the second power event are collected, determining whether the first power event and the second power event substantially occur at the same time; if not, identifying an unknown electric appliance as a first type electric appliance; and if yes, determining whether the first power event and the second power event are substantially the same, wherein if yes, identifying the unknown electric appliance as a second type electric appliance, and if no, identifying the unknown electric appliance as the first type electric appliance.

Abstract: A method for identifying an electronic apparatus is provided. The method is adapted for a monitor apparatus in a power system, and includes the following steps of adaptively updating a power signature database related to at least one electronic apparatus; adaptively updating a line resistance database related to the monitor apparatus; detecting whether at least one power signature event occurs; calculating a system impedance of the at least one power signature event when the at least one power signature event occurs; and identifying at least one unknown electronic apparatus resulting the at least one power signature event according to the system impedance, the power signature database and the line resistance database.

Abstract: An indoor positioning system comprises at least one signal source disposed in an indoor environment having training points, and storage and positioning devices coupled with each other. The signal source has power levels, based on one of which it transmits a wireless signal. The storage device stores for each training point a first signal strength, and for at least one adaptation point among the training points a second signal strength. The first and second signal strengths are associated respectively with a first and a second power level among the power levels. The positioning device obtains a current signal strength observed at a current location and its associated current power level, calculates a third signal strength for each training point based on the first, second and current power levels and the first and second signal strengths, and compares the current and third signal strengths to estimate the current location.

Abstract: A method for identifying an electric appliance and an apparatus and a system thereof are provided. The method includes the following steps: respectively collecting a first power event on a first phase power and a second power event on a second phase power; when the first power event and/or the second power event are collected, determining whether the first power event and the second power event substantially occur at the same time; if not, identifying an unknown electric appliance as a first type electric appliance; and if yes, determining whether the first power event and the second power event are substantially the same, wherein if yes, identifying the unknown electric appliance as a second type electric appliance, and if no, identifying the unknown electric appliance as the first type electric appliance.

Abstract: A management system, a smart meter, a server, an operation method and a management method are provided. The management system includes a remote server and at least one smart meter. The smart meter is coupled to the remote server via a communication network. The smart meter measures electrical energy of at least one power line to obtain at least one batch of electricity data. The smart meter detects whether the loading event occurs. If the loading event occurs, the smart meter performs data compression on the electricity data obtained during an event period corresponding to the loading event to obtain compressed data, and uploads the compressed data to the remote server. The remote server performs data decompression on the compressed data to obtain decompressed data. The remote server performs load identification according to the decompressed data.

Abstract: A system for positioning based on magnetic field characteristics includes a system apparatus and a client device. The system apparatus includes a characteristic magnetic field generation device, a magnetic field characteristic database and a processing device. The characteristic magnetic field generation device is used for generating a plurality of characteristic magnetic fields in a predetermined space. The characteristic magnetic fields have at least two magnetic field characteristics. The magnetic field, characteristic database has a plurality of characteristic values and a plurality of positioning values. Each of the characteristic values corresponds to each of the magnetic field characteristics. The characteristic values correspond to the magnetic field characteristics. The client device includes a magnet detecting component and a processor. The magnet detecting component is used for detecting the magnetic field characteristics and for outputting a magnetic field signal.

Abstract: A multi-posture stride length calibration system for indoor positioning includes: at least an inertial measurement unit, configured to sense at least a signal; a signal preprocessing unit, connected to the inertial measurement unit to process sensed signal; a multi-posture determination unit, configured to determine at least a posture based on processed signal; a step-computing decision unit, configured to compute a number of steps and a step frequency based on processed signal; a map feature calibration unit, configured to receive the number of steps, step frequency and posture to determined a stride length and decide whether the stride length matching a criterion; a step-computing threshold adjustment unit, configured to adjust a step-computing threshold if stride length not matching the criterion; and a stride length regression unit, configured to update a stride length regression curve for posture based on step frequency and stride length if stride length matching the criterion.

Abstract: A method for identifying an electronic apparatus is provided. The method is adapted for a monitor apparatus in a power system, and includes the following steps of adaptively updating a power signature database related to at least one electronic apparatus; adaptively updating a line resistance database related to the monitor apparatus; detecting whether at least one power signature event occurs; calculating a system impedance of the at least one power signature event when the at least one power signature event occurs; and identifying at least one unknown electronic apparatus resulting the at least one power signature event according to the system impedance, the power signature database and the line resistance database.

Abstract: An exemplary embodiment provides a method for swing result deduction and posture correction. The method includes performing a coordinate transformation between a sensor frame and an earth frame, deducting the swing result according to at least one piece of sensor information and a swing result deduction analysis, and providing a posture correction advice according to at least one piece of sensor information and a posture correction analysis.

Abstract: A method and a system for monitoring electric devices coupled to a power circuit are provided. The method includes: obtaining a first power feature of the power circuit at a time; obtaining a second power feature of the power circuit at another time; determining whether a power feature variation occurs according to the first and second power features. If the power feature variation occurs, the method further includes: adjusting the first power feature to a first normalized power feature according to a reference voltage; adjusting the second power feature to a second normalized power feature according to the reference voltage; recognizing that a status of one of the electric devices is changed from a first status to a second status according to the first and second normalized power features. By applying the method, whether the electric devices are switched on or off may be accurately recognized.

Abstract: A method and an apparatus for detecting device anomaly are provided. The apparatus including a database configured to store a plurality of electric power features; a measurement module configured to measure electric power of a device to generate electric power information; a judgment module connected to the database and the measurement module, configured to judge whether the device is abnormal based on the plurality of electric power features and the electric power information; and a detection module connected to the judgment module, configured to detect operation states of a plurality of elements in the device to generate a plurality of state signals when the judgment module judges that the device is abnormal; wherein, the judgment module further judges whether each element of the plurality of elements is abnormal based on the plurality of state signals, the electric power information, and the plurality of electric power features.

Abstract: An exercise learning system including a sensing unit and a processing module is disclosed. The sensing unit includes at least one sensor used for being disposed on the body of a user. Each sensor further outputs a sensing data according to the exercise state of the user. The processing module generates at least one critical action data of the user according to the at least one sensing data. The processing module further synchronizes and compares the at least one critical action data with the corresponding at least one pre-produced action data.

Abstract: A dual-mode wireless sensor network system including a local wireless sensor, a local event processing device, and a remote event processing device is provided. The local wireless sensor detects and announces an abnormal event. The local event processing device and the remote event processing device receive the abnormal event announcement. When the local wireless sensor detects the abnormal event, the local wireless sensor encrypts an abnormal event message related to the abnormal event with a regular mode key and transmits the encrypted abnormal event message to the local event processing device. When the local wireless sensor does not receive a response message from the local event processing device, the local wireless sensor encrypts the abnormal event message with a special mode key and transmits the encrypted abnormal event message to the remote event processing device. Thereby, the abnormal event can be successfully announced even with highly protected privacy.

Abstract: An electronic device, a positioning method, a positioning system, a computer program product, and a computer-readable recording medium are provided. The electronic device includes at least one wireless transceiver, at least one measurement unit (MU), and a processor. The processor is coupled with the wireless transceiver and the MU. The processor obtains distances between a plurality of participant devices through the wireless transceiver, wherein the participant devices include the electronic device. The processor obtains a displacement of each of the participant devices through the wireless transceiver and the MU and determines the spatial location of each of the participant devices according to the distances and the displacements.

Abstract: A method for positioning a mobile device includes following steps. Based on a prior location point of the mobile device, many sample points are generated according to a prior probability distribution associated with the prior location point. A current moving track or a current moving status of the mobile device is obtained, and the sample points are updated according to at least one of the current moving track and the current moving status. A current estimated position is obtained based on a radio frequency signal received by the mobile device. A current probability distribution of the sample points corresponding to the radio frequency signal or the current estimated position is generated to obtain corresponding weights of the updated sample points. A current location point of the mobile device is obtained according to the weights and distribution of the sample points.

Abstract: A localization device assisted with augmented reality and a localization method thereof are provided. The localization device includes a subject object coordinate generating unit, a relative angle determining element and a processing unit. The subject object coordinate generating unit selects at least three subject objects outside the localization device and obtains at least three subject object coordinate values of the at least three subject objects. The relative angle determining element determines at least two viewing angle differences between any two of the at least three subject objects. The processing unit generates a location coordinate value of the localization device according to the at least two viewing angle differences and the at least three subject object coordinate values.

Abstract: A wireless sensing system and a method thereof are provided. The wireless sensing system includes: a data processing center; and a first sensor module for processing a first source data into a first dynamic counting sketch data structure. The first dynamic counting sketch data structure has a bit length determined based on the first source data. The data processing center estimates the first source data based on the first dynamic counting sketch data.

Abstract: A wireless sensor network and data sensing method thereof are provided. A prediction model is established according to sensed data. When statistical value of the sensed data is within a user allowable range, the average value of the sensed data is returned to a user based on the prediction model. Alternatively, when the statistical value of the sensed data is beyond the user allowable range, actually sensed data is returned to the user based on the prediction model. In addition, the prediction model may further be dynamically updated according to subsequently received sensed data.

Abstract: Disclosed relates to an access control system and method based on hierarchical keys. The system comprises an access control server (ACS), a home gateway, and a plurality of sensor devices disposed on a home network. The ACS sets up user's access limits of authority and authorization verifier, and saves the related data of user's password and the user's access limits of authority. The gateway records the authority limits' level and the authority limits' key which are constructed based on a hierarchical key structure. When a user logs in the ACS to request access, an one-time communication key between the user and the home gateway is established by exchanging the ticket and the token that are issued by the ACS. This allows the user to access the information of the sensor devices.