Abstract: A system for notifying environmental pollution status includes wireless environment sensing devices and a portable wireless environmental pollution status notification device. The wireless environment sensing devices, respectively arranged in the different sensing locations of a physical environment, respectively store the sensing locations and respectively sense pollution related information corresponding to the different sensing locations to output the pollution related information and the sensing locations corresponding thereto. The portable wireless environmental pollution status notification device, wirelessly connected to the plurality of wireless environment sensing devices and located in the physical environment, receives the pollution related information and the sensing locations corresponding thereto and generates notification signals based on the pollution related information and the sensing locations corresponding thereto.

Abstract: A positioning pollutant-measuring system includes a cloud server, a wireless base station, an automatic moving vehicle, and a positioning pollutant-measuring device. The automatic moving vehicle carries the positioning pollutant-measuring device and passes through different locations. The positioning pollutant-measuring device receives location related parameters from the wireless base station and measures the air flow rates or the air humidity of the different locations to adjust a resolution for measuring pollutants corresponding to the different locations.

Abstract: An unmanned aerial vehicle (UAV) control system and a UAV control method are provided. The UAV control method includes: storing a reporting configuration by a UAV; communicatively connecting to the UAV and storing at least one historical status information corresponding to the UAV by a server; reporting to the server at least one current status information according to the reporting configuration by the UAV; calculating a variance between the at least one historical status information and the at least one current status information by the server; and updating the reporting configuration of the UAV according to the variance by the server.

Abstract: A management apparatus and a management method thereof for electronic equipment are provided. The management apparatus includes a detector, a display and a processor. The detector obtains a detected data related to the electronic equipment. The display presents information. The processor is coupled to the display and the detector. The processor is configured to perform the following steps. The electronic equipment is identified according to the detected data of the electronic equipment. The detected data includes an image of the electronic equipment. Electronic equipment information is obtained according to an identified result of the electronic equipment. The electronic equipment information may include specification information, asset information and/or operation configuration. The electronic equipment information may be displayed on the display. Accordingly, the operation for an on-site engineer would be improved.

Abstract: An unmanned aerial vehicle (UAV) control system and a UAV control method are provided. The UAV control method includes: storing a reporting configuration by a UAV; communicatively connecting to the UAV and storing at least one historical status information corresponding to the UAV by a server; reporting to the server at least one current status information according to the reporting configuration by the UAV; calculating a variance between the at least one historical status information and the at least one current status information by the server; and updating the reporting configuration of the UAV according to the variance by the server.

Abstract: A management apparatus and a management method thereof for electronic equipment are provided. The management apparatus includes a detector, a display and a processor. The detector obtains a detected data related to the electronic equipment. The display presents information. The processor is coupled to the display and the detector. The processor is configured to perform the following steps. The electronic equipment is identified according to the detected data of the electronic equipment. The detected data includes an image of the electronic equipment. Electronic equipment information is obtained according to an identified result of the electronic equipment. The electronic equipment information may include specification information, asset information and/or operation configuration. The electronic equipment information may be displayed on the display. Accordingly, the operation for an on-site engineer would be improved.

Abstract: A hybrid simulation model includes a real model, a bus interface and an acceleration model. The real model simulates a group of instructions. The acceleration model includes a trace generation unit, a trace replay unit, a selection unit, a snapshot generation and load unit and a virtual breakpoint control unit. The trace generation unit records at least one trace file of the real model in a first simulation. The trace replay unit reads and accordingly accesses the at least one trace file. The selection unit dynamically switches to perform a real simulation or a trace simulation. The snapshot generation and load unit generates at least one status snapshot file and loads the at least one status snapshot file to the real model in repeated simulations. The virtual breakpoint control unit controls the selection unit to switch between the trace simulation and the real simulation according to a virtual breakpoint.

Abstract: A system and a corresponding method for multi-core synchronous debugging of a multi-core platform including a plurality of cores are provided. The method includes the following steps. Transmit a core debugging instruction to one of the cores selected by a system debugging instruction or store a group setting included in the system debugging instruction according to the type of the system debugging instruction. Control every core in a group to start executing program instructions simultaneously according to another system debugging instruction. The group is a subset of the cores and the group setting indicates which ones of the cores are included in the group. Use a handshaking mechanism to control all cores of the group to enter a debug mode simultaneously when a debug event happens in any core of the group.

Abstract: A system and a corresponding method for multi-core synchronous debugging of a multi-core platform including a plurality of cores are provided. The method includes the following steps. Transmit a core debugging instruction to one of the cores selected by a system debugging instruction or store a group setting included in the system debugging instruction according to the type of the system debugging instruction. Control every core in a group to start executing program instructions simultaneously according to another system debugging instruction. The group is a subset of the cores and the group setting indicates which ones of the cores are included in the group. Use a handshaking mechanism to control all cores of the group to enter a debug mode simultaneously when a debug event happens in any core of the group.

Abstract: A hybrid simulation model includes a real model, a bus interface and an acceleration model. The real model simulates a group of instructions. The acceleration model includes a trace generation unit, a trace replay unit, a selection unit, a snapshot generation and load unit and a virtual breakpoint control unit. The trace generation unit records at least one trace file of the real model in a first simulation. The trace replay unit reads and accordingly accesses the at least one trace file. The selection unit dynamically switches to perform a real simulation or a trace simulation. The snapshot generation and load unit generates at least one status snapshot file and loads the at least one status snapshot file to the real model in repeated simulations. The virtual breakpoint control unit controls the selection unit to switch between the trace simulation and the real simulation according to a virtual breakpoint.