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Cross-Device Consumer Identification
2015 IEEE International Conference on Data Mining Workshop (ICDMW), 2015Nowadays, a typical household owns multiple digital devices that can be connected to the Internet. Advertising companies always want to seamlessly reach consumers behind devices instead of the device itself. However, the identity of consumers becomes fragmented as they switch from one device to another.
Girma Kejela, Chunming Rong
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An Algorithm for IoT Device Identification
2020 International Conference on Information Networking (ICOIN), 2020Years ago, hackers recognised the potential of IoT devices for attacks. In 2016, comprehensive DDoS attacks based on such devices made headlines. Their number has been growing rapidly for several years. It is expected that 50 billion IoT devices will be used by 2020 [1]. As a result, the damage potential continues to grow.
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The Journal of the Acoustical Society of America, 1984
A transducer receives notes from a musical instrument and converts them into electrical signals. The signals are passed to filter banks containing filters having passbands in different octave ranges. The filtered signals in each bank are added and translated in frequency to the frequency range of the highest octave of interest.
Stanley Rothschild, Samuel E. Ramsay
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A transducer receives notes from a musical instrument and converts them into electrical signals. The signals are passed to filter banks containing filters having passbands in different octave ranges. The filtered signals in each bank are added and translated in frequency to the frequency range of the highest octave of interest.
Stanley Rothschild, Samuel E. Ramsay
openaire +1 more source