Practical limitation of co-operative RFID jamming methods in environments without accurate signal synchronization

2016 ◽  
Vol 105 ◽  
pp. 224-236 ◽  
Author(s):  
Qiao Hu ◽  
Lavinia Mihaela Dinca ◽  
Anjia Yang ◽  
Gerhard Hancke
Author(s):  
Martin Worm ◽  
Tim Landgraf ◽  
Gerhard von der Emde

AbstractAfrican weakly electric fish communicate at night by constantly emitting and perceiving brief electrical signals (electric organ discharges, EOD) at variable inter-discharge intervals (IDI). While the waveform of single EODs contains information about the sender’s identity, the variable IDI patterns convey information about its current motivational and behavioural state. Pairs of fish can synchronize their EODs to each other via echo responses, and we have previously formulated a ‘social attention hypothesis’ stating that fish use echo responses to address specific individuals and establish brief dyadic communication frameworks within a group. Here, we employed a mobile fish robot to investigate the behaviour of small groups of up to four Mormyrus rume and characterized the social situations during which synchronizations occurred. An EOD-emitting robot reliably evoked social following behaviour, which was strongest in smaller groups and declined with increasing group size. We did not find significant differences in motor behaviour of M. rume with either an interactive playback (echo response) or a random control playback by the robot. Still, the robot reliably elicited mutual synchronizations with other fish. Synchronizations mostly occurred during relatively close social interactions, usually when the fish that initiated synchronization approached either the robot or another fish from a distance. The results support our social attention hypothesis and suggest that electric signal synchronization might facilitate the exchange of social information during a wide range of social behaviours from aggressive territorial displays to shoaling and even cooperative hunting in some mormyrids.


2014 ◽  
Vol 29 (9) ◽  
pp. 1607-1617 ◽  
Author(s):  
Alkiviadis Gourgiotis ◽  
Sylvain Bérail ◽  
Pascale Louvat ◽  
Hélène Isnard ◽  
Julien Moureau ◽  
...  

This work provides a simple method for isotope ratio drift correction in MC-ICPMS transient signals.


2017 ◽  
Vol 124 ◽  
pp. 01002
Author(s):  
Tzu-Jung Huang ◽  
Hsun-Jung Cho ◽  
Chien-Chia Liäm Huang

Author(s):  
Youngpo Lee ◽  
Youngyoon Lee ◽  
Taeung Yoon ◽  
Chonghan Song ◽  
Sanghun Kim ◽  
...  

2019 ◽  
Vol 286 (1912) ◽  
pp. 20191067 ◽  
Author(s):  
Henry D. Legett ◽  
Rachel A. Page ◽  
Ximena E. Bernal

Conspicuous mating signals attract mates but also expose signallers to predators and parasites. Signal evolution, therefore, is driven by conflicting selective pressures from multiple receivers, both target and non-target. Synchronization of mating signals, for example, is an evolutionary puzzle, given the assumed high cost of reduced female attraction when signals overlap. Synchronization may be beneficial, however, if overlapping signals reduce attraction of non-target receivers. We investigate how signal synchronization is shaped by the trade-off between natural and sexual selection in two anuran species: pug-nosed tree frogs ( Smilisca sila ), in which males produce mating calls in near-perfect synchrony, and túngara frogs ( Engystomops pustulosus ), in which males alternate their calls. To examine the trade-off imposed by signal synchronization, we conducted field and laboratory playback experiments on eavesdropping enemies (bats and midges) and target receivers (female frogs). Our results suggest that, while synchronization can be a general strategy for signallers to reduce their exposure to eavesdroppers, relaxed selection by females for unsynchronized calls is key to the evolution and maintenance of signal synchrony. This study highlights the role of relaxed selection in our understanding of the origin of mating signals and displays.


2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Chin-Tsung Hsieh ◽  
Jen Shiu

As the photovoltaic system consists of many equipment components, manual inspection will be very costly. This study proposes the photovoltaic system fault diagnosis based on chaotic signal synchronization. First, MATLAB was used to simulate the fault conditions of solar system, and the maximum power point tracking (MPPT) was used to ensure the system's stable power and capture and record the system fault feature signals. The dynamic errors of various fault signals were extracted by chaotic signal synchronization, and the dynamic error data of various fault signals were recorded completely. In the photovoltaic system, the captured output voltage signal was used as the characteristic values for fault recognition, and the extension theory was used to create the joint domain and classical domain of various fault conditions according to the collected feature data. The matter-element model of extension engineering was constructed. Finally, the whole fault diagnosis system is only needed to capture the voltage signal of the solar photovoltaic system, so as to know the exact fault condition effectively and rapidly. The proposed fault diagnostor can be implemented by embedded system and be combined with ZigBee wireless network module in the future, thus reducing labor cost and building a complete portable renewable energy system fault diagnostor.


2014 ◽  
Vol 989-994 ◽  
pp. 4023-4027
Author(s):  
Liang Yi ◽  
Gang Fu ◽  
Guang Zhi Wu

According to the characteristics of PCM / FM signals, we propose a new software-based STFT Demodulation algorithm. This paper discusses in detail the basic principles of this demodulation algorithm and implementation process, analyze the complexity of the algorithm, proposed a new method for the extraction and correction code synchronization. Simulation results show that the algorithm not only can effectively suppress the influence of various disturbances in the actual signal synchronization accuracy of the code, with better demodulation performance, and realization of the principle is simple, high efficiency, easy to implement software-oriented real-time treatment.


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