IoT framework for Fluctuation Enhanced Sensing

Mingesz, Róbert; Makan, Gergely; Balogh, Benjamin; Vadai, Gergely; Gingl, Zoltán

doi:10.1109/icnf.2017.7985992

Cited by 5 publications

(6 citation statements)

References 11 publications

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“…Today we live in the era of the Internet of Things (IoT), which provides opportunity to continuously monitor different aspects of our lives in a cost-effective way. Since FES is a promising method to increase the selectivity and sensitivity of the sensors, an attempt to realize a complete wireless sensor node system based on Wi-Fi communication has also been made [72] which is a significant step toward the possibility of using fluctuation-based sensing methods in everyday life.…”

Section: Fluctuation-enhanced Gas Sensing: a Brief Historical Overviewmentioning

confidence: 99%

Fluctuation-Enhanced Sensing (FES): A Promising Sensing Technique

2020

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Fluctuation-enhanced sensing (FES) is a very powerful odor and gas sensing technique and as such it can play a fundamental role in the control of environments and, therefore, in the protection of health. For this reason, we conduct a comprehensive survey on the state-of-the-art of the FES technique, highlighting potentials and limits. Particular attention is paid to the dedicated instrumentation necessary for the application of the FES technique and also in this case limits and possible future developments are highlighted. In particular, we address resolution, measurement speed, reproducibility, memory, noise, and other problems such as the influence of humidity. A number of techniques and guidelines are proposed to overcome these problems. Circuit solutions are also discussed.

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Section: Fluctuation-enhanced Gas Sensing: a Brief Historical Overviewmentioning

confidence: 99%

Fluctuation-Enhanced Sensing (FES): A Promising Sensing Technique

2020

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“…У роботі Роберта Мінгеза [7] досліджено вплив характеристик ГПВЧ на генератор цифрового шуму і підхід до вибору алгоритму, базуючись на вимозі достатнього періоду і високої швидкодії.…”

Section: =Bdeg/introductionunclassified

Comparative analysis of digital noise generated by additive Fibonacci generators

Isakov,

Voitusik

2023

UJIT

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Noise generators and pseudorandom number generators (PRNGs) are widely used in the field of information technology, including cybersecurity, for modeling, authorization key generation, and technical protection of information. It has been found that the characteristics of digital noise directly depend on the chosen PRNG algorithm. To determine the quality of the generated noise, special tests are performed, which are primarily applied to the sequence generated by the PRNG. The results of digital noise generated by an PRNG based on four different algorithms of additive Fibonacci generators (AFG) are investigated. The choice of generators of the same type allowed us to analyze the effect of different modifications on the final result of the generated sequences to determine their advantages and disadvantages. Digital signal processing techniques such as frequency, autocorrelation and visual analysis, signal-to-noise ratio, and statistical tests of the NIST package were used to test the noise and generated sequences. Functions for interpreting the obtained data were developed using the MATLAB (DSP System Toolbox) application package and the C programming language for automating NIST tests. It has been found that for effective testing, specific stages and their sequence should be determined: determination of the PRNG period, statistical tests of the NIST package, calculation of the autocorrelation function, and other methods of digital signal processing. It was found that modification of one AFG by using a carry bit (MAFG2) does not improve the results of the generated sequence, unlike the PIKE algorithm, which consists of three AFGs. The MAFG algorithm showed better results during the period testing and at the same time passed NIST tests, unlike the unmodified version. The dependence between the order of the generated sequences and the results of their autocorrelation function was revealed. It is proposed that, in addition to general statistical tests, applied tests should be carried out when choosing or developing a new generator, its effectiveness should be checked under the conditions required by existing standards and requirements. The compliance of the generated digital noise with the requirements for devices for technical protection of information, namely the protection of speech information, has been established.

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“…Doktori tanulmányaim során a Zaj és nemlinearitás kutatócsoport tagjaként lehetőségem adódott számos különböző, multidiszciplináris kutatásba bekapcsolódni [1][2][3][4][5][6][7][8][9][10][11][12][13]. Értekezésemben ezek közül a zajok információforrásként illetve konstruktív szerepben való felhasználásának egy-egy példájául szolgáló alkalmazási területen elért eredményeimet mutatom be.…”

Section: Bevezetésunclassified

“…A műszaki területeken is számos ilyen alkalmazási példa található: az atomreaktorokban neutronfluxus ingadozásai a rendszer helyes működéséről, az integrált áramkörök és áramköri komponensek esetén a zajspektrum azok megbízhatóságáról tájékoztathat [22]. Hasonlóan, ellenállás mérésén alapuló gázszenzorok esetén a jel fluktuációjának teljesítménysűrűség-spektruma az ellenállás átlagértékéhez képest többletinformációt hordozhat, így a technika (Fluctuation Enhanced Sensing) segíthet a szenzorok szelektivitásának és pontosságának növelésében [23,[10][11][12][13].…”

Section: Bevezetésunclassified

“…E két mennyiség szórásdiagramja (lásd 2.1.2. fejezet) LH és HL állapotban lehetőséget nyújt a két mennyiség közötti kapcsolat vizuális szemléltetésére. Egy bit átvitelét, azaz egy LH vagy HL állapotot az együttes eloszlások alakjának vizsgálatához a gyakorlati megvalósításhoz szükséges adatmennyiségnél jelentősen nagyobb, 2 13 hosszúságú véletlenszámsorozatokkal vizsgáltam [49].…”

Section: A Zajparaméterek Hatásának Numerikus Vizsgálataunclassified

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Véletlenszerű fluktuációk analízisén és hasznosításán alapuló mérési és titkosítási eljárások vizsgálata

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IoT framework for Fluctuation Enhanced Sensing

Cited by 5 publications

References 11 publications

Fluctuation-Enhanced Sensing (FES): A Promising Sensing Technique

Fluctuation-Enhanced Sensing (FES): A Promising Sensing Technique

Comparative analysis of digital noise generated by additive Fibonacci generators

Véletlenszerű fluktuációk analízisén és hasznosításán alapuló mérési és titkosítási eljárások vizsgálata

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