Article
Mathematics
Lazaros Moysis, Karthikeyan Rajagopal, Aleksandra Tutueva, Christos Volos, Beteley Teka, Denis N. Butusov
Summary: This work presents a one-dimensional chaotic map with a simple structure and three parameters, studying its dynamical behavior, pseudorandom bit generation, and chaotic path planning applications.Numerical simulations show that the coverage percentage converges exponentially to 100% as the number of iterations increases, with discrete motion adapted to smooth motion using B-Spline curves.
Article
Computer Science, Information Systems
Ioannis Kafetzis, Lazaros Moysis, Aleksandra Tutueva, Denis Butusov, Hector Nistazakis, Christos Volos
Summary: This paper proposes a new one-dimensional chaotic map and demonstrates its constant chaotic behavior through computation of bifurcation diagrams and Lyapunov exponent diagrams. Based on this map, a pseudo-random bit generator with a high keyspace is designed for a password generator application.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Jianeng Tang, Zezong Zhang, Peiyang Chen, Zhongming Huang, Tingting Huang
Summary: Chaos has been widely used in secure communication, signal processing, and chaotic synchronization due to its sensitivity, ergodicity, boundedness, and unpredictability. However, existing one-dimensional chaotic maps have simple chaotic behaviors and discrete chaotic intervals, which affect practical applications. To address these issues, this paper proposes a one-dimensional chaotic model called the cosine-coupled chaotic model (CCCM) based on the absolute value function and the cosine function. Experimental results show that the new chaotic maps generated using the CCCM have wider chaotic intervals and more complex chaotic behaviors than the original maps and other advanced maps.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2023)
Article
Instruments & Instrumentation
Zhenguo Lu, Shenshen Yang, Jianqiang Liu, Xuyang Wang, Yongmin Li
Summary: An efficient high-speed true random number generator based on multiple parallel self-timed rings is proposed and demonstrated in this study, which evaluates and improves randomness of the entropy source using min-entropy and a Toeplitz-hashing extractor. Optimization of data throughput and hardware resource consumption is systematically investigated to implement a 10-Gbps true random number generator that passes NIST and Dieharder test suites.
REVIEW OF SCIENTIFIC INSTRUMENTS
(2021)
Article
Engineering, Electrical & Electronic
Yuan Cao, Xiaojin Zhao, Wenhan Zheng, Yue Zheng, Chip-Hong Chang
Summary: This paper proposes a new lightweight TRNG design to minimize power wasted by superfluous oscillations. By extracting random bits from both phases of the slow ROs, the throughput is increased and the fast RO is only activated during a narrow transition time difference between two symmetrically designed slow ROs.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2022)
Article
Engineering, Electrical & Electronic
Xin Cheng, Yunfeng Zhang, Haowen Zhu, Yang Zhou
Summary: In this paper, a novel feedback architecture based on tetrahedral ring oscillator is proposed to improve the bit rate and randomness of random sequence. The random raw bits are fed back to produce control voltages, increasing the phase jitter of the oscillator. A post-processor is designed to enhance the randomness further. The circuit is implemented in TSMC 40-nm CMOS process, with low power consumption, high speed, and low energy efficiency.
INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS
(2023)
Article
Optics
Chun-Guang Ma, Jin-Long Xiao, Zhi-Xiong Xiao, Yue-De Yang, Yong-Zhen Huang
Summary: This study demonstrates the first self-chaotic microlaser based on internal mode interaction, achieving self-chaos and period oscillations by adjusting the mode frequency interval. It provides a novel mode engineering method for the nonlinear dynamics of lasers.
LIGHT-SCIENCE & APPLICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Turgay Kaya, Taner Tuncer, Erdinc Avaroglu
Summary: The study proposed a hybrid true random bit generator using Chua and memristor structures, converting continuous Chua and memristor outputs into bit sequences through modular arithmetic, and generating desired bit sequences using a summation generator. The NIST Test Suite and Scale Index tests were used to test randomness, while correlation, complexity, and key sensitivity analyses were conducted for the generated numbers' security.
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
(2021)
Article
Physics, Multidisciplinary
Michal Melosik, Mariusz Galan, Mariusz Naumowicz, Piotr Tylczynski, Scott Koziol
Summary: This paper presents a prototype wearable Cryptographically Secure PseudoRandom Bit Generator (CSPRBG). The prototype vest includes a ZYBO Zynq Z-7010 evaluation board and implements a seed generator and block cryptographic algorithms for the generation of pseudo-random values. Sound and acceleration recordings from a microphone and accelerometer were used as entropy sources. Hardware implementations of selected block cryptographic algorithms, such as AES, Twofish, and 3DES, were made. The randomness of the binary values generated by the wearable CSPRBG was evaluated using statistical tests and ENT tests conducted by the National Institute of Standards and Technology (NIST), depending on the configuration of the entropy sources. The possibility of developing the wearable CSPRBG as a System on Chip (SoC) solution is also presented.
Article
Computer Science, Hardware & Architecture
Eleftherios Petavratzis, Christos Volos, Ioannis Stouboulos
Summary: This work presents the design and implementation of an autonomous mobile robot for covering given workspaces. Motion commands are generated by combining two separate chaotic random bitstreams using an XOR function. The proposed method is implemented using a microcontroller (Arduino Uno) to control a robotic platform. An ultrasonic sensor is also incorporated into the platform to locate and avoid workspace boundaries. Experimental results demonstrate that this approach, with a suitable collision avoidance sensor, achieves fast and satisfactory scanning of the robot's workspace in an unpredictable manner.
INTEGRATION-THE VLSI JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Yian Luo, Junhang Zhang, Jiacheng Hao, Xiaojin Zhao
Summary: This paper presents an energy-efficient true random number generator based on the jitter noise of a single ring oscillator. By XORing two different oscillation stages of the ring oscillator and continuously quantizing the pulses' width, the proposed generator achieves excellent randomness and performance under different conditions.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Computer Science, Hardware & Architecture
S. Nithya Devi, S. Sasipriya
Summary: This research proposes a new hybrid nature random number generator that utilizes True random number generators to provide unpredictable randomness. By adding programmable delay lines, the processing time is reduced while maintaining the quality of randomization. Experimental results show that the proposed Hybrid TRNG offers high operating speed and low power consumption.
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Electrical & Electronic
Bismarck Costa Lima, Jean Pierre von der Weid
Summary: Physical random bits are generated at rates up to 40 Gbps by acquiring the optical intensity from an SOA-based random fiber laser using an 8-bit digital oscilloscope. The post-processing involves selecting 4 least significant bits and can be easily implemented in real time. The generated random bits pass all NIST tests.
IEEE PHOTONICS TECHNOLOGY LETTERS
(2023)
Article
Automation & Control Systems
Fang Yuan, Shaoyan Li, Yue Deng, Yuxia Li, Guanrong Chen
Summary: In this article, a Cu-doped TiO2-x nanoscale memristor is built and its accurate mathematical model is established. The reliable performance of the memristor and the correctness of its mathematical model are demonstrated through numerical simulations and hardware experiments, revealing its chaotic system dynamics.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Multidisciplinary Sciences
Zhonglin Wang, Shutang Liu
Summary: A simplified symmetry chaotic circuit was designed and implemented to reduce circuit cost and improve stability and flexibility. The change of symmetry chaotic dynamic behaviors can be achieved by adjusting the time constant. The circuit experiments were in good agreement with numerical simulation and theoretical analysis.
Article
Engineering, Electrical & Electronic
Adonis Bogris, Charis Mesaritakis, Stavros Deligiannidis, Pu Li
Summary: By utilizing optical injection and feedback, FP lasers show potential in neuromorphic computing by enhancing processing power at longitudinal mode granularity and performing real-time signal equalization in optical communication systems. Increasing the number of modes improves classification performance and allows for simultaneous processing of multiple data streams.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2021)
Article
Engineering, Electrical & Electronic
Irene Estebanez, Shi Li, Janek Schwind, Ingo Fischer, Stephan Pachnicke, Apostolos Argyris
Summary: Analog photonic computing has been proposed and tested as an alternative approach for data recovery in fiber transmission systems. This study demonstrates the effectiveness of internal fading memory in photonic reservoir computing, highlighting its dependence on signal properties. It also compares data recovery performances between reservoir computing and extreme learning machine fiber-based configurations, showing equivalent results and the advantage of simplified system and increased computation speed with the latter method.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Optics
Giovanni Donati, Claudio R. Mirasso, Mattia Mancinelli, Lorenzo Pavesi, Apostolos Argyris
Summary: This study presents a detailed numerical investigation of the operation of a silicon microring resonator (MRR) in the presence of external optical feedback in a time delay reservoir computing scheme. The results demonstrate the versatility of the MRR in solving computing tasks with diverse memory requirements, where its nonlinearity and the photodetection nonlinearity can contribute to efficient computation.
Review
Nanoscience & Nanotechnology
Apostolos Argyris
Summary: Machine learning and neuromorphic computing have played a crucial role in optical communications, especially in signal processing. The latest breakthroughs involve advanced digital signal processing techniques and hardware implementations in photonics. These approaches have the potential to improve data recovery and transmission reliability, expand the reach of optical networks, and offer new solutions in photonics.
Article
Materials Science, Multidisciplinary
M. Skontranis, G. S. Sarantoglou, A. Bogris, C. Mesaritakis
Summary: In this work, a numerical study on a time-delayed reservoir computing scheme is presented, utilizing a quantum-dot spin polarized vertical cavity surface-emitting laser (QD s-VCSEL) as the single nonlinear node. The scheme exploits the complex temporal dynamics of multiple energy states in quantum dot materials and utilizes dual emission to enhance computational efficiency.
OPTICAL MATERIALS EXPRESS
(2022)
Article
Materials Science, Multidisciplinary
Silvia Ortin, Miguel C. Soriano, Ingo Fischer, Claudio R. Mirasso, Apostolos Argyris
Summary: Multimode fibers are widely used in short-range communication and optical imaging, and have recently been considered for optical computing. This study mimics the dendritic structure of real neurons and utilizes the spatial modes and spatio-temporal transformation of multimode fibers for information processing. Through numerical simulations, we demonstrate the application of a few-mode, step-index fiber as a linear computing element in a high-speed spatio-temporal coincidence detector and evaluate its performance as a linear classifier in classification tasks.
OPTICAL MATERIALS EXPRESS
(2022)
Article
Engineering, Electrical & Electronic
Yang Hong, Stavros Deligiannidis, Natsupa Taengnoi, Kyle R. H. Bottrill, Naresh K. Thipparapu, Yu Wang, Jayanta K. Sahu, David J. Richardson, Charis Mesaritakis, Adonis Bogris, Periklis Petropoulos
Summary: We propose and demonstrate a bidirectional Vanilla-RNN based equalization scheme for O-band CWDM transmission. The Vanilla-RNN equalizer exhibits significantly better BER performance over the conventional DFE for both OOK and PAM4 formats, and is capable of compensating for linear and nonlinear impairments. Our results show that the Vanilla-RNN scheme is a viable solution for simple and effective equalization.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
George Sarantoglou, Adonis Bogris, Charis Mesaritakis, Sergios Theodoridis
Summary: This study proposes a Bayesian learning framework for silicon photonic accelerators, which can significantly reduce operational power consumption while slightly sacrificing classification accuracy. The full Bayesian scheme also provides information about the sensitivity of phase shifters, which can simplify the driving system.
IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS
(2022)
Article
Engineering, Electrical & Electronic
Kostas Sozos, Stavros Deligiannidis, Charis Mesaritakis, Adonis Bogris
Summary: This article proposes a neuromorphic receiver based on recurrent optical spectrum slicing for detection and equalization of coherent modulation formats. The receiver has low power consumption and high data transmission rates.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Dimitris Dermanis, Adonis Bogris, Panagiotis Rizomiliotis, Charis Mesaritakis
Summary: This work presents a physical unclonable function implemented using an integrated photonic neuromorphic device. The physical security feature relies on the complex relation between hardware implemented complex weights and digital trainable weights. The concept paves the way for photonic devices capable of efficient computation and security operations.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Optics
Irene Estebanez, Apostolos Argyris, Ingo Fischer
Summary: Time delay reservoir computing using semiconductor lasers is a promising photonic analog approach for information processing. By adjusting the level of optical injection, the response bandwidth of the lasers can be tuned. Experimental results show that the system can operate with a sampling time as small as 11.72 ps without sacrificing computational performance.
Article
Engineering, Electrical & Electronic
Kostas Sozos, Stavros Deligiannidis, George Sarantoglou, Charis Mesaritakis, Adonis Bogris
Summary: The transition to the edge-cloud era demands ultra-high data rate signals and power efficient optical modules. Addressing the challenges of non-linearities and power fading is crucial for high symbol rate systems. In this article, machine learning techniques and neuromorphic processing are proposed as promising solutions for mitigating transmission impairments. The article presents recent work on bidirectional recurrent neural networks and neuromorphic recurrent optical spectrum slicers for non-linearity compensation and power fading mitigation respectively. Evaluations are conducted to compare the performance of these techniques with the state-of-the-art methods in high-speed optical communication systems.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
