20 papers · ranked by Valyu relevance
Hyun‐Jong Chung, Tae Woo Uhm, Sung Won Kim, Young Gyu You + 4 more
'Sang Wook Lee' 'Sung Ho Jhang' 'E. E. B. Campbell' 'Yung Woo Park'] We have investigated random telegraph noise (RTN) observed in individual metallic carbon nanotubes (CNTs). Mean lifetimes in high- and low-current states, τhigh and τlow, have been studied as a function of bias-voltage and gate-voltage as well as…
Gilson Wirth, Pedro A. B. Alves, Roberto da Silva
— Generating streams of true random numbers is a critical component of many embedded systems. The design of fully integrated, area and power efficient True Random Number Generators is a challenge. We propose a fully integrated, lightweight implementation, that uses the random telegraph noise (RTN) of standard MOSFET as…
Georgia Samara, Nikolaos Vasileiadis, Alexandros Mavropoulis, Christoforos Theodorou + 2 more
'Christoforos Theodorou' 'Konstantinos Papagelis' 'Panagiotis Dimitrakis'] Abstract—Single-layer Graphene (SLG) is a promising material for sensing applications. High performance graphene sensors can be achieved when Interdigitated Electrodes (IDE) are used. In this research work, we fabricated SLG microribbon (GMR)…
Marcel Robitaille, HeeBong Yang, Lu Wang, Bowen Deng + 1 more
Time-fluctuating signals are ubiquitous and diverse in many physical, chemical, and biological systems, among which random telegraph signals (RTSs) refer to a series of instantaneous switching events between two discrete levels from single-particle movements. A reliable RTS analysis is a crucial prerequisite to…
Stefano Brivio, Jacopo Frascaroli, Erika Covi, Sabina Spiga
Random telegraph noise is a widely investigated phenomenon affecting the reliability of the reading operation of the class of memristive devices whose operation relies on formation and dissolution of conductive filaments. The trap and the release of electrons into and from defects surrounding the filament produce…
Calvin Yi-Ping Chao, Honyih Tu, Thomas Meng-Hsiu Wu, Kuo-Yu Chou + 3 more
'Shang-Fu Yeh' 'Chin Yin' 'Chih-Lin Lee'] A study of the random telegraph noise (RTN) of a 1.1 μm pitch, 8.3 Mpixel CMOS image sensor (CIS) fabricated in a 45 nm backside-illumination (BSI) technology is presented in this paper. A noise decomposition scheme is used to pinpoint the noise source. The long tail of the…
A. Ayachi, W. Ben Chouikha, S. Jaziri, R. Bennaceur
We analyze theoretically the decoherence of two interacting electrons in a double self-assembled quantum dot due to a random telegraph noise. For this purpose we have examined the pure dephasing rate by evaluating the decoherence factor. This latter has been shown to be different from that calculated within the…
Yoshiharu Suzuki, Naoki Asakawa, Arunas Ramanavicius
Stochastic Resonance (SR) is a phenomenon in which noise improves the performance of a system. With the addition of noise, a weak input signal to a nonlinear system, which may exceed its threshold, is transformed into an output signal. In the other words, noise-driven signal transfer is achieved. SR has been observed…
Calvin Yi-Ping Chao, Shang-Fu Yeh, Meng-Hsu Wu, Kuo-Yu Chou + 5 more
'Honyih Tu' 'Chih-Lin Lee' 'Chin Yin' 'Philippe Paillet' 'Vincent Goiffon'] In this paper we present a systematic approach to sort out different types of random telegraph noises (RTN) in CMOS image sensors (CIS) by examining their dependencies on the transfer gate off-voltage, the reset gate off-voltage, the photodiode…
Yang Liu, Pengyu Liu, Yingyi Wen, Zihan Liang + 10 more
Physical Entropy Noise in Structurally Metastable 1T′ Molybdenum Ditelluride for True Random Number Generation Authors: ['Yang Liu' 'Pengyu Liu' 'Yingyi Wen' 'Zihan Liang' 'Songwei Liu' 'Lekai Song' 'Jingfang Pei' 'Xiaoyue Fan' 'Teng Ma' 'Gang Wang' 'Shuo Gao' 'Kong-Pang Pun' 'Xiaolong Chen' 'Guohua Hu'] True random…
Daniel S. Kosov
We present a theoretical approach to solve Markovian master equation for quantum transport with stochastic telegraph noise. Considering probabilities as functionals of a random telegraph process we use the Novikov's functional method to convert stochastic master equation to a set of deterministic differential…
Xiaoming Fu, Heta P. Patel, Stefano Coppola, Libin Xu + 3 more
Transcriptional rates are often estimated by fitting the distribution of mature mRNA numbers measured using smFISH (single molecule fluorescence in situ hybridization) with the distribution predicted by the telegraph model of gene expression, which defines two promoter states of activity and inactivity. However…
Ramon Grima, Pierre-Marie Esmenjaud
The snapshot distribution of mRNA counts per cell can be measured using single molecule FISH or single-cell RNA sequencing. These distributions are often fit to the steady-state distribution of the two-state telegraph model to estimate the three transcriptional parameters for a gene of interest: mRNA synthesis rate…
Weronika Potok, Marc Bächinger, Onno van der Groen, Andreea Loredana Cretu + 1 more
Transcranial random noise stimulation (tRNS) over cortical areas has been shown to acutely improve performance in sensory detection tasks. One explanation for this behavioural effect is stochastic resonance, a mechanism that explains how signal processing in non-linear systems can benefit from added noise. While acute…
Carlos A. Sánchez-León, Álvaro Sánchez-López, María A. Gómez-Climent, Isabel Cordones + 2 more
Transcranial random noise stimulation (tRNS), a non-invasive neuromodulatory technique capable of altering cortical activity, has been proposed to improve the signal-to-noise ratio at the neuronal level and the sensitivity of the neurons following an inverted U-function. The aim of this study was to examine the effects…
Esther Heid, Charles J. McGill, Florence H. Vermeire, William H. Green
Characterizing uncertainty in machine learning models has recently gained interest in the context of machine learning reliability, robustness, safety, and active learning. Here, we separate the total uncertainty into contributions from noise in the data (aleatoric) and shortcomings of the model (epistemic), further…
Achim Schilling, Konstantin Tziridis, Holger Schulze, Patrick Krauss
Stochastic Resonance (SR) has been proposed to play a major role in auditory perception, and to maintain optimal information transmission from the cochlea to the auditory system. By this, the auditory system could adapt to changes of the auditory input at second or even sub-second timescales. In case of reduced…
Kanin Aungskunsiri, Ratthasart Amarit, Kruawan Wongpanya, Sakdinan Jantarachote + 5 more
Random numbers are important in many activities, including communication, encryption, science, gambling, finance, and decision-making. There is a strong demand for a hardware random number generator that could support cryptographic applications. In this work, we propose a quantum tunneling diode as a source of true…
Authors not listed
Electrochemical impedance spectroscopy (EIS) is one of the most widely deployed methods to characterise electrochemical systems such as batteries, fuel cells or electrolyzers. The distribution of relaxation times (DRT) represents a technique to simplify EIS data by deconvolution with a suitable kernel, while with…
Naveen Kumar, Rakshita Pritam Singh Dhar, César Pascual García, Vihar Georgiev
Protein sequencing is an important key to personalized medicines, but the process is complex enough to halt the ongoing progress in proteomics. In this paper, we have proposed a novel simulation methodology for the detection of oligopeptide fingerprints using a Field-Effect-Transistor. In our approach, the…