Abstract: An ultra-wideband assisted precise positioning system and an ultra-wideband assisted precise positioning method are provided. The method includes: arranging a plurality of device nodes in a target area; configuring a central control device node to communicatively connect to the device nodes; configuring the device nodes to perform a positioning process to obtain measured distances and positioning positions to be corrected; and configuring a central control processor to execute a positioning algorithm. The positioning algorithm includes: obtaining the measured distances and the positioning positions to be corrected; for each of the positioning positions to be corrected, performing a center-of-gravity weighting processing on neighboring points for obtaining initial guess positions; and obtaining the initial guess positions to input to an optimizer and optimize an objective function, and finding corrected positions with relatively smallest errors.

Abstract: A positioning system and a positioning method are provided. The positioning system includes a first positioning device, a second positioning device, a first processing device, and an output device. The first positioning device is used to position a mobile device, and the mobile device contains identification information. The first positioning device generates first positioning information based on the identification information. The second positioning device is used to position an object under test, and the object under test has a feature. The second positioning device generates second positioning information based on the feature. The first processing device generates third positioning information based selectively on the first positioning information and the second positioning information. The output device is used to output the third positioning information.

Abstract: A positioning system and a positioning method based on WI-FI® fingerprints are provided.

Abstract: A positioning system and a method based on neural network models are provided. The positioning method includes collecting WI-FI® fingerprint data; configuring a computing device to receive the WI-FI® fingerprint data, and the computing device includes a processor and a database storing positioning map data and a group of neural network models including a global positioning model, a coarse positioning model and a fine positioning model; configuring the processor to input the WI-FI® fingerprint data and perform the following steps: estimating a global coordinate through the global positioning model; obtaining the corresponding coarse positioning model from a corresponding primary sub-region to estimate an estimated coarse coordinate of a current position; estimating a plurality of estimated fine coordinates of the current position from the corresponding fine positioning model; and performing a merging process on the estimated fine coordinates to generate a final coordinate.

Abstract: A ranging-type positioning system and a ranging-type positioning method based on crowdsourced calibration are provided. In a crowdsourcing stage, pedestrian dead reckoning (PDR) is performed based on readings of inertial measurement units on a mobile device, a particle filter (PF) is executed to reconstruct a path of the mobile device with map information of the target field, and FTM data records are collected. Then, a ranging model based on a neural network can be used to calibrate and inversely infer approximate locations of unknown base stations. The optimized ranging model can estimate estimated distances and standard deviations based on the FTM data records obtained in the crowdsourcing stage. In a positioning stage, a position of a to-be-positioned mobile device can be positioned by having the ranging model operated in cooperation with the PDR and the PF.

Abstract: An ultra-wideband assisted precise positioning system and an ultra-wideband assisted precise positioning method are provided. The method includes: arranging a plurality of device nodes in a target area; configuring a central control device node to communicatively connect to the device nodes; configuring the device nodes to perform a positioning process to obtain measured distances and positioning positions to be corrected; and configuring a central control processor to execute a positioning algorithm. The positioning algorithm includes: obtaining the measured distances and the positioning positions to be corrected; for each of the positioning positions to be corrected, performing a center-of-gravity weighting processing on neighboring points for obtaining initial guess positions; and obtaining the initial guess positions to input to an optimizer and optimize an objective function, and finding corrected positions with relatively smallest errors.

Abstract: A system for establishing positioning map data and a method for the same are provided.

Abstract: A positioning system for integrating machine learning positioning models and a positioning method for the same are provided. The positioning system includes a DUT (device under test) and a scalable backend subsystem. The DUT obtains current WI-FI® fingerprint data. The scalable backend subsystem communicates with the DUT, and includes a database server, a processing unit, a plurality of machine learning positioning service modules, and a DUT service module. The database server stores a plurality of records of machine learning positioning model data, configuration data and setting data defining a positioning inference path.

Abstract: A positioning system and a positioning method based on WI-FI® fingerprints are provided.

Abstract: A positioning system and a method based on neural network models are provided. The positioning method includes collecting WI-FI® fingerprint data; configuring a computing device to receive the WI-FI® fingerprint data, and the computing device includes a processor and a database storing positioning map data and a group of neural network models including a global positioning model, a coarse positioning model and a fine positioning model; configuring the processor to input the WI-FI® fingerprint data and perform the following steps: estimating a global coordinate through the global positioning model; obtaining the corresponding coarse positioning model from a corresponding primary sub-region to estimate an estimated coarse coordinate of a current position; estimating a plurality of estimated fine coordinates of the current position from the corresponding fine positioning model; and performing a merging process on the estimated fine coordinates to generate a final coordinate.

Abstract: A system for establishing positioning map data and a method for the same are provided.

Abstract: A refuge guide system including a central server (10), a refuge guide device (100), a plurality of fire monitoring devices (30), and a wireless communication device (40). The plurality of fire monitoring devices (30) transmit a fire information to the central server (10). The wireless communication device (40) provides communication between the central server (10) and the refuge guide device (100), and provides a positioning information to the refuge guide device (100).

Abstract: A refuge guide system including a central server (10), a refuge guide device (100), a plurality of fire monitoring devices (30), and a wireless communication device (40). The plurality of fire monitoring devices (30) transmit a fire information to the central server (10). The wireless communication device (40) provides communication between the central server (10) and the refuge guide device (100), and provides a positioning information to the refuge guide device (100).

Abstract: A fire scene evacuation guiding device includes an indicator (100) and a thermoelectric converter (200). The thermoelectric converter (200) is electrically connected with the indicator (100), the thermoelectric converter (200) includes a first detecting end (210) and a second detecting end (220), and the first detecting end (210) and the second detecting end (220) are arranged away from each other. The thermoelectric converter (200) can provide evacuation instructions according to a real time situation at a fire scene.

Abstract: A fire scene evacuation guiding device includes an indicator (100) and a thermoelectric converter (200). The thermoelectric converter (200) is electrically connected with the indicator (100), the thermoelectric converter (200) includes a first detecting end (210) and a second detecting end (220), and the first detecting end (210) and the second detecting end (220) are arranged away from each other. The thermoelectric converter (200) can provide evacuation instructions according to a real time situation at a fire scene.

Abstract: A fire scene evacuation guiding device includes an indicator (100) and a thermoelectric converter (200). The thermoelectric converter (200) is electrically connected with the indicator (100), the thermoelectric converter (200) includes a first detecting end (210) and a second detecting end (220), and the first detecting end (210) and the second detecting end (220) are arranged away from each other. The thermoelectric converter (200) can provide evacuation instructions according to a real time situation at a fire scene.

Abstract: A method for processing load balancing of graphic streams is provided. The method is used in a system, wherein the system includes a server device and a client device, and the method includes the steps of: receiving, by a virtual machine, a graphic with a plurality of objects and graphic capability information; dispatching, by a dispatcher, the plurality of objects according to the graphic capability information; receiving, by a server GPU, a first group of objects dispatched by the dispatcher, and transforming the first group of objects into a first video stream; receiving, by a virtual desktop viewer, a second group of objects dispatched by the dispatcher; transforming, by a client GPU, the second group of objects into a second video stream; and rendering, by a virtual desktop viewer, the first video stream and the second video stream.

Abstract: A virtual file transmission system includes a server side and a user side. The server side includes a virtual desktop generator for providing a virtual desktop and a file type manager. The user side includes a virtual desktop display module and a file execution module. A virtual desktop display module is used for displaying the virtual desktop and allowing a user to request the server side to open a file through the virtual desktop. When the server side received the request of opening the file, the file type manager determines the type and properties of the file to transmit image/sound streaming of the file to the user side to allow the virtual desktop displaying module display the streaming, or transmit the file to the user side to allow the file execution module to open the file.

Abstract: An accessing method, for a server device which does not connect to a network, includes inputting an external command to a baseboard management control module of the server device for triggering the baseboard management control module to generate a first event; triggering a chip module of the server device to generate a second event according to the first event; and accessing, by a server module of the server device, a device component according to the second event.

Abstract: A computer system and a remote control method thereof are provided. The method is adapted for the computer system having a network and a processor. In the method, the network card is used to receive a management interface request sent by a remote device thorough a network and send a system management interrupt to the processor, so as to wake up the processor and control the processor to enter a system management mode. Then, the processor loads a management monitoring program into a memory so as to execute the management monitor program. Finally, the processor processes the management interface request by using the management monitoring program in the system management mode, and replies a processing result to the remote device through the network by using the network card.