22 papers · ranked by Valyu relevance
Alejandro Cohen, Rafael G. L. D’Oliveira, Ken R. Duffy, Jongchan Woo + 1 more
'Muriel Médard'] Abstract—In this paper, we show that the Advanced Encryption Standard (AES) cryptosystem can be used as an errorcorrecting code to obtain reliability over noisy communication and data systems. Moreover, we characterize a family of computational cryptosystems that can potentially be used as well…
Simone Blanco Malerba, Mirko Pieropan, Yoram Burak, Rava Azeredo da Silveira
Classical models of efficient coding in neurons assume simple mean responses—‘tuning curves’—such as bellshaped or monotonic functions of a stimulus feature. Real neurons, however, can be more complex: grid cells, for example, exhibit periodic responses which impart the neural population code with high accuracy. But do…
Xu Yang, Xiaolong Shi, Langwen Lai, Congzhou Chen + 2 more
'Ming Deng'] DNA has become a popular choice for next-generation storage media due to its high storage density and stability. As the storage medium of life’s information, DNA has significant storage capacity and low-cost, low-power replication and transcription capabilities. However, utilizing long double-stranded DNA…
Michael Yarus
The Standard Genetic Code (SGC) can arise by fusion of partial codes evolved in different individuals, perhaps for differing prior tasks. Such code fragments can be unified into an SGC after late evolution of accurate third-position Crick wobble. Late wobble advent fills in the coding table, leaving only later…
M. Andrecut
We discuss a class of cellular automata (CA) able to produce long random strings, starting from short "seed" strings. The approach uses two principles borrowed from cryptography: diffusion and confusion. We show numerically that the strings are pseudo-random using three approaches based on: Fourier transform, entropy…
Vinod Patidar, Gurpreet Kaur
Recently, many image encryption algorithms based on hybrid DNA and chaos have been developed. Most of these algorithms utilize the chaotic systems with dissipative dynamics and exhibiting periodic windows and patterns in bifurcation diagrams along with co-existing attractors in the neighbourhoods of parameter space.…
Lina Bonilla, Jacques Gautrais, Simon Thorpe, Timothée Masquelier
Spiking neural networks (SNNs) using time-to-first-spike (TTFS) codes, in which neurons fire at most once, are appealing for rapid and low power processing. In this theoretical paper, we focus on information coding and decoding in those networks, and introduce a new unifying mathematical framework that allows the…
Jia Liu, Haiping Chang, Weiyu Ran, Erfu Wang + 1 more
In order to make the security and operating efficiency of an image encryption algorithm coexist, this study proposed a color image encryption algorithm with improved DNA coding and rapid diffusion. During the stage of improving DNA coding, the chaotic sequence was used to form a look-up table to complete the base…
Shengtao Geng, Jiahao Li, Xuncai Zhang, Yanfeng Wang + 1 more
As an effective method for image security protection, image encryption is widely used in data hiding and content protection. This paper proposes an image encryption algorithm based on an improved Hilbert curve with DNA coding. Firstly, the discrete wavelet transform (DWT) decomposes the plaintext image by three-level…
Ali Abdolrahimi Zarnagh, Ali Motazedifard
Generating reliable random and pseudo-random sequences is important in many electronic and signal processing systems, such as secure communications, radar, spread-spectrum methods, and autonomous platforms. Although true and quantum random number generators provide stronger unpredictability, classical pseudo-random…
Henning Otto Brinkhaus, Kohulan Rajan, Achim Zielesny, Christoph Steinbeck
The development of deep learning-based optical chemical structure recognition (OCSR) systems has led to a need for datasets of chemical structure depictions. The diversity of the features in the training data is an important factor for the generation of deep learning systems that generalise well and are not overfit to…
Artis Linars, Ivars Silamikelis, Dita Gudra, Ance Roga + 1 more
Over the decades the improvement of naturally occurring proteins and creation of novel ones has been the primary goal for many practical biotechnology researchers and it is widely recognized that randomization of protein sequences coupled to various effect screening methodologies is one of the most powerful techniques…
Seong‐Joon Park, Yongwoo Lee, Jong‐Seon No
In this paper, we propose a novel iterative encoding algorithm for DNA storage to satisfy both the GC balance and run-length constraints using a greedy algorithm. DNA strands with run-length more than three and the GC balance ratio far from 50% are known to be prone to errors. The proposed encoding algorithm stores…
Meric Yucel, Serdar Bagis, Ahmet Sertbas, Mehmet Sarikaya + 2 more
'Burak Berk Ustundag' 'Boris Ryabko'] Highlights What are the main findings?1. A cortical coding method is developed inspired by the network formation in the brain, where the information entropy is maximized while dissipated energy is minimized. 2. The execution time in the cortical coding model is far superior…
Arthur J Jallet, Antonin Demange, Fiona Leblay, Mathilde Decourcelle + 3 more
The frequency of synonymous codons in protein coding genes is non-random and varies both between species and between genes within species. Whether this codon usage bias (CUBias) reflects underlying neutral mutational processes or is instead shaped by selection remains an open debate, especially regarding the role of…
Michael Yarus
Standard Genetic Code (SGC) evolution is quantitatively modeled in computed ‘worlds’ containing up to 2000 independent coding ‘environments’. Environments can host multiple codes that may fuse or divide, with division yielding identical descendants. Code division may be selected - sophisticated gene products could be…
Authors not listed
This paper presents a simplified model of iterative compound optimization in drug/agrochemical discovery. Compounds are represented as binary strings, with project evolution simulated through random bit changes. The model reproduces key statistical features of real projects, including activity distributions and…
Da Qiu, Tingting Zhang, Jingyi Liu, Song Liu + 2 more
'Amelia Carolina Sparavigna'] This study proposes an innovative image encryption algorithm based on the DNAS_box and hyperchaos. The algorithm dynamically constructs a DNAS_box using 2-bit deoxyribonucleic acid (DNA) coding and 4-bit DNA-like coding, enabling seamless conversion between these two coding schemes. The…
Matthew Daly
Many people with severely limited muscle control can only communicate through augmentative and alternative communication (AAC) systems with a small number of buttons. In this paper, we present the design for Color-Code, which is an AAC system with two buttons that uses Bayesian inference to determine what the user…
Paridhi Latawa, Nuh Aydın
| 1 | Abstract | | 2 | | --- | --- | --- | --- | | 2 | | Introduction | 2 | | 3 | | Convolutional Codes | 3 | | | 3.1 | Encoding of Binary Convolutional Codes | 3 | | | 3.2 | Decoding Convolutional Codes | 11 | | | 3.3 | Truncated Viterbi Decoding | 13 | | 4 | | DNA Codes | 17 | | | 4.1 | Constraints for the…
Li Wang, Xinyi Wei, Yuan Zhang, Yuan Gao + 2 more
'Omar A. Alzubi'] The unique infinite self-renewal ability and multidirectional differentiation potential of stem cells provide a strong support for the clinical treatment. In light of the growing demands for stem cell storage, how to ensure personal privacy security and comply with strict ethical supervision…
Elena Zamaraeva, Christopher M. Collins, Dmytro Antypov, Vladimir V. Gusev + 6 more
Crystal Structure Prediction (CSP) is a fundamental computational problem in materials science. Basin-hopping is a prominent CSP method that combines global Monte Carlo sampling to search over candidate trial structures with local energy minimisation of these candidates. The sampling uses a stochastic policy to…