Abstract: The present disclosure provides a method and an apparatus for detecting a state of a traffic light, a storage medium a device and a vehicle and belongs to the field of traffic technologies. The method includes: obtaining state detection results for the traffic light based on traffic light images; according to a plurality of state detection results within a first time window and a traffic light state corresponding to each preset road junction type, determining a target road junction type of a target road junction; in response to that a target detection result is present in the state detection results obtained after determining the target road junction type, determining the target detection result as a false detection result, where the target detection result includes a state other than the traffic light state corresponding to the target road junction type.

Abstract: An orthogonal frequency-division multiple access (OFDMA)-based backscatter system is provided, including an analog portion and a digital logic portion. The analog portion includes an antenna, radio frequency switches, an envelope detection circuit, and a transmission line. The digital logic portion includes an inverse discrete Fourier transform (IDFT)-based digital frequency synthesis module. Two outputs of the digital logic portion control all of the radio frequency switches, and the envelope detection circuit provides an input of the digital logic portion. OFDMA backscatter tags designed can operate on any given subchannel without hardware being re-powered and modified, and can operate at a specified symbol rate. The system provides a networking physical layer foundation for a large amount of OFDMA backscatter tags, and satisfies the growing Internet of Things capacity requirements.

Abstract: Systems and methods for mitigating cyberattacks are described herein. A computing system can detect illegitimate network traffic associated with a cyberattack in network traffic. The computing system can determine an amplification factor of the cyberattack based in part on a probability distribution of the illegitimate network traffic. The computing system can determine a filter to demotivate a generation of the illegitimate network traffic. The determined filter can reduce the amplification factor of the cyberattack. The computing system can implement the determined filter to block the illegitimate network traffic.

Abstract: An orthogonal frequency-division multiple access (OFDMA)-based backscatter system is provided, including an analog portion and a digital logic portion. The analog portion includes an antenna, radio frequency switches, an envelope detection circuit, and a transmission line. The digital logic portion includes an inverse discrete Fourier transform (IDFT)-based digital frequency synthesis module. Two outputs of the digital logic portion control all of the radio frequency switches, and the envelope detection circuit provides an input of the digital logic portion. OFDMA backscatter tags designed can operate on any given subchannel without hardware being re-powered and modified, and can operate at a specified symbol rate. The system provides a networking physical layer foundation for a large amount of OFDMA backscatter tags, and satisfies the growing Internet of Things capacity requirements.

Abstract: Systems and methods for mitigating cyberattacks are described herein. A computing system can detect illegitimate network traffic associated with a cyberattack in network traffic. The computing system can determine an amplification factor of the cyberattack based in part on a probability distribution of the illegitimate network traffic. The computing system can determine a filter to demotivate a generation of the illegitimate network traffic. The determined filter can reduce the amplification factor of the cyberattack. The computing system can implement the determined filter to block the illegitimate network traffic.

Abstract: A low-input RNase footprinting approach is described for the rapid quantification of ribosome-protected fragments with 1,000-100,000 cells. The assay uses a simplified procedure for capturing ribosome-RNA complexes based on optimized RNase digestion. It simultaneously maps cytosolic and mitochondrial translation with single-nucleotide resolution.