Abstract: The present application discloses a dispatching and control cloud data processing method, device and system. The method includes the following operations: pilot node device acquires a global scheduling task, decomposes the global scheduling task to obtain scheduling tasks, issues the scheduling tasks to collaborative node device, acquires data collection ranges and data processing rules of the collaborative node devices, and delivers them to the collaborative node devices; the collaborative node devices receive and execute the scheduling tasks issued by the pilot node device; receives the data collection ranges and the data processing rules issued by the pilot node device, acquires, based on the scheduling tasks, collected data in the data collection ranges, processes the acquired collected data according to the data processing rules to obtain the processed data, uploads the processed data to the pilot node device; the pilot node device receives the processed data uploaded by the collaborative node devices.

Abstract: A joint link-level and network-level intelligent system and method for dynamic spectrum anti-jamming are provided. The system includes a link-level anti-jamming subsystem and a network-level anti-jamming subsystem. The link-level anti-jamming subsystem sets a reward value as system transmission throughput in a single decision cycle, and a user makes an intelligent frequency usage decision based on the obtained reward value to skip a frequency band in which jamming exists. The network-level anti-jamming subsystem performs reasonable frequency band allocation and management for lower-level sub-users when link-level anti-jamming fails to further enhance a frequency domain anti-jamming capability of the entire system. The users make intelligent frequency usage decisions through a dynamic spectrum anti-jamming algorithm based on reinforcement learning to effectively avoid external malicious jamming, realize dynamic spectrum access, and enhance a frequency domain anti-jamming capability of the system.

Abstract: An unmanned aerial vehicle (UAV) task cooperation method based on an overlapping coalition formation (OCF) game includes: constructing a sequential OCF game model for a UAV multi-task cooperation problem; using a bilateral mutual benefit transfer (BMBT) order that is biased toward the utility of a whole coalition to evaluate a preference of a UAV for a coalitional structure; optimizing task resource allocation of the UAV under an overlapping coalitional structure by using a preference gravity-guided Tabu Search algorithm to form a stable coalitional structure; and optimizing a transmission strategy based on the current coalitional structure, an updated status of a task resource allocation scheme of the UAV, and a current fading environment, so as to maximize task execution utility of a UAV network. The method quantifies characteristics of resource properties of the UAV and a task, and optimizes the task resource allocation of the UAV under the overlapping coalitional structure.

Abstract: An unmanned aerial vehicle (UAV) task cooperation method based on an overlapping coalition formation (OCF) game includes: constructing a sequential OCF game model for a UAV multi-task cooperation problem; using a bilateral mutual benefit transfer (BMBT) order that is biased toward the utility of a whole coalition to evaluate a preference of a UAV for a coalitional structure; optimizing task resource allocation of the UAV under an overlapping coalitional structure by using a preference gravity-guided Tabu Search algorithm to form a stable coalitional structure; and optimizing a transmission strategy based on the current coalitional structure, an updated status of a task resource allocation scheme of the UAV, and a current fading environment, so as to maximize task execution utility of a UAV network. The method quantifies characteristics of resource properties of the UAV and a task, and optimizes the task resource allocation of the UAV under the overlapping coalitional structure.

Abstract: A joint link-level and network-level intelligent system and method for dynamic spectrum anti-jamming are provided. The system includes a link-level anti-jamming subsystem and a network-level anti-jamming subsystem. The link-level anti-jamming subsystem sets a reward value as system transmission throughput in a single decision cycle, and a user makes an intelligent frequency usage decision based on the obtained reward value to skip a frequency band in which jamming exists. The network-level anti-jamming subsystem performs reasonable frequency band allocation and management for lower-level sub-users when link-level anti-jamming fails to further enhance a frequency domain anti-jamming capability of the entire system. The users make intelligent frequency usage decisions through a dynamic spectrum anti-jamming algorithm based on reinforcement learning to effectively avoid external malicious jamming, realize dynamic spectrum access, and enhance a frequency domain anti-jamming capability of the system.

Abstract: The disclosure provides a method, a device and a system for fault detection. The fault detection method includes following steps: acquiring interactive data generated during a working process of a target Internet of Things system, and generating data to be detected based on the interactive data; detecting whether the data to be detected is fault data or not, and performing an emotion analysis on the data to be detected which is judged as the fault data to obtain a corresponding emotion label; and extracting a corresponding fault type from a preset fault emotion mapping table based on the emotion label and outputting the fault type. In this disclosure, the interactive data is analogized to human emotions, and the faults are accurately found through the emotional analysis on the data, thereby achieving the fault detection of the Internet of Things system in a convenient, flexible and accurate manner.

Abstract: Examples described herein relate to reducing a magnitude of a supply voltage for a circuit element of an optical transmitter device. In some such examples, the circuit element is a driving element that is to receive a first electrical data signal and to provide a second electrical data signal to an optical element that is to provide an optical data signal. A testing element is to compare the optical data signal to the first electrical data signal to determine whether the optical transmitter device meets a performance threshold. When the device meets the performance threshold, a regulating element is to reduce a magnitude of the supply voltage of the driving element.

Abstract: Examples described herein relate to reducing a magnitude of a supply voltage for a circuit element of an optical transmitter device. In some such examples, the circuit element is a driving element that is to receive a first electrical data signal and to provide a second electrical data signal to an optical element that is to provide an optical data signal. A testing element is to compare the optical data signal to the first electrical data signal to determine whether the optical transmitter device meets a performance threshold. When the device meets the performance threshold, a regulating element is to reduce a magnitude of the supply voltage of the driving element.

Abstract: One example of a system includes an optical modulator, a push-pull driver, and a compensation circuit. The optical modulator has a nonlinear capacitance. The push-pull driver is electrically coupled across the optical modulator. The push-pull driver charges the capacitance in response to a logic ‘1’ of a level-shifted differential signal and discharges the capacitance in response to a logic ‘0’ of the level-shifted differential signal. The compensation circuit increases the speed of the discharge of the capacitance in response to the level-shifted differential signal transitioning from a logic ‘1’ to a logic ‘0’.

Abstract: In example implementations, an apparatus includes a serializer, a re-timing buffer coupled to the serializer, and a plurality of segments coupled to the re-timing buffer. The plurality of segments may be used for controlling a timing of an electrical signal. Each one of the plurality of segments may include a segment serializer, a timing control coupled to the segment serializer and a driver coupled to the timing control. In addition, a phase clock may be coupled to the segment serializer and the timing control of each one of the plurality of segments.

Abstract: In example implementations, an apparatus includes a serializer, a re-timing buffer coupled to the serializer, and a plurality of segments coupled to the re-timing buffer. The plurality of segments may be used for controlling a timing of an electrical signal. Each one of the plurality of segments may include a segment serializer, a timing control coupled to the segment serializer and a driver coupled to the timing control. In addition, a phase clock may be coupled to the segment serializer and the timing control of each one of the plurality of segments.

Abstract: One example of a system includes an optical modulator, a push-pull driver, and a compensation circuit. The optical modulator has a nonlinear capacitance. The push-pull driver is electrically coupled across the optical modulator. The push-pull driver charges the capacitance in response to a logic ‘1’ of a level-shifted differential signal and discharges the capacitance in response to a logic ‘0’ of the level-shifted differential signal. The compensation circuit increases the speed of the discharge of the capacitance in response to the level-shifted differential signal transitioning from a logic ‘1’ to a logic ‘0’.

Abstract: A method for AWB (Automatic White Balance) compensation, performed by a processing unit, the method at least containing: acquiring a frame 0; dividing the frame 0 into blocks; obtaining block statistics information of each block of the frame 0; labeling each block of the frame 0 as one type according to its block statistics information; employing a first AWB compensation to the frame 0 with an input of first-type blocks of the frame 0, wherein the first-type blocks of the frame 0 are blocks labeled as a first type; employing a second AWB compensation to a frame 1 with an input of blocks of the frame 1 at the same locations as that of second-type blocks of the frame 0, wherein the second-type blocks of the frame 0 are blocks labeled as a second type; and fusing the compensated frame 0 with the compensated frame 1.

Abstract: A method for AWB (Automatic White Balance) compensation, performed by a processing unit, the method at least containing acquiring a frame 0; dividing the frame 0 into blocks; obtaining block statistics information of each block of the frame 0; labeling each block of the frame 0 as one type according to its block statistics information; employing a first AWB compensation to the frame 0 with an input of first-type blocks of the frame 0, wherein the first-type blocks of the frame 0 are blocks labeled as a first type; employing a second AWB compensation to a frame 1 with an input of blocks of the frame 1 at the same locations as that of second-type blocks of the frame 0, wherein the second-type blocks of the frame 0 are blocks labeled as a second type; and fusing the compensated frame 0 with the compensated frame 1.

Abstract: A method for generating HDR (High Dynamic Range) images, performed by a processing unit, the method at least containing: acquiring a frame 0; obtaining frame statistics information at least includes a first pixel count for a dark area and a second pixel count for a saturate area; calculating the ratio according to the first pixel count and the second pixel count; calculating a first expansion factor and a second expansion factor according to the ratio and the exposure setting of the frame 0; expanding the frame 0 to HDR space using the first expansion factor; expanding a frame 1 to the HDR space using the second expansion factor; and fusing the expanded frame 0 with the expanded frame 1.

Abstract: Systems and methods provide for providing a plurality of information to a caller associated with a call to a service provider. The method includes: receiving, from the caller, the voice call to the service provider; determining that the voice call cannot be answered; responsive to the determination that the voice call cannot be answered, retrieving a first information from a web service associated with the service provider; and transmitting the first information to the caller.

Abstract: Systems and methods provide for providing a plurality of information to a caller associated with a call to a service provider. The method includes: receiving, from the caller, the voice call to the service provider; determining that the voice call cannot be answered; responsive to the determination that the voice call cannot be answered, retrieving a first information from a web service associated with the service provider; and transmitting the first information to the caller.