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检索条件"任意字段=15th International Conference on DNA Computing and Molecular Programming, DNA 15"

共 143 条记录，以下是1-10 订阅

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Survey on dna Encryption Techniques 15

Survey on DNA Encryption Techniques

引用

15th international conference on Advances in computing, Control, and Telecommunication Technologies, ACT 2024

作者： Sowmya, D. Manjula, G.R. Department of CS&E JNNCE Shivamogga India

ISBN: (纸本)9798331300579

the area of dna cryptography is an interdisciplinary field that has emerged recently, focusing on the possible applications of dna (deoxyribonucleic acid) molecules for secure encryption and data storage. It uses dna sequences to create methods for encoding, encrypting, and decoding data by fusing concepts from cryptography and molecular biology. this paper presents various works proposed in dna encoding. © Grenze Scientific Society, 2024.

关键词： Encoding (symbols)

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Multi-objective Grasshopper Optimisation Algorithm applied to Design dna Sequences 15

Multi-objective Grasshopper Optimisation Algorithm applied t...

引用

15th international conference on Advanced Computational Intelligence (ICACI)

作者： Guo, Huaiyu Feng, Zhiyu Wang, Xiao Zhejiang Normal Univ Sch Comp Sci & Math Jinhua 321000 Zhejiang Peoples R China Zhejiang Normal Univ Xingzhi Coll Jinhua 321004 Zhejiang Peoples R China

ISBN: (纸本)9798350321456

High stable and high reliable dna sequences are requisite in dna computing search field. dna sequences can be quantified in an array of thermodynamical and logical constraints which play an important role in process of hybridization. Since designing of dna sequences set regraded as a multi objective optimization problem due to these constraints, epsilon constraint introduced in this paper which is a thought of reduce object dimensions. these constraints can be classified in single squence constraints and multiple sequences constraints, two meta heuristic algorithms tunicate swarm algorithm and grasshopper optimisation algorithm used in different steps according to their features and applicable scenarios. Result of this progress shows that epsilon constraints collaborate with other algorithms may produce advanced dna sequences set compare to previous work.

关键词： dna sequence design dna computing tunicate swarm algorithm grasshopper optimisation algorithm epsilon constraint

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Optimal design of dna coding based on multi-strategy JAYA algorithm 15

Optimal design of DNA coding based on multi-strategy JAYA al...

引用

15th international conference on Advanced Computational Intelligence (ICACI)

作者： Wang, Siwei Zhu, Donglin Wang, Xiao Zhejiang Normal Univ Sch Math & Comp Sci Jinhua 321000 Zhejiang Peoples R China Zhejiang Normal Univ Xingzhi Coll Jinhua 321000 Peoples R China

ISBN: (纸本)9798350321456

dna computing as a future method of computing, has been widely concerned by many scholars because of its high density, high parallelism and other characteristics, which have led to a significant improvement in the storage capacity and computational speed of dna computing, and the optimization problem of dna computing has remained a popular research area until now. this paper proposes an optimisation design for dna coding based on the improved JAYA algorithm, which incorporates saltation learning, lensing learning and the equalisation of random and Halton sequences to initialise populations, improving the standard JAYA algorithm's shortcomings of strong randomness, uneven population distribution and insufficient inter-population communication, and cleverly balancing the convergence and population diversity of the algorithm, allowing the JAYA algorithm to be able to find better quality in the process of finding the best. the improved JAYA algorithm is proved to be highly practical through ablation study.

关键词： saltation learning lensing learning JAYA Halton sequences dna coding optimization ablation study

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15th EAI international conference on Bio-inspired Information and Communications Technologies, BICT 2024

15th EAI International Conference on Bio-inspired Informatio...

引用

15th EAI international conference on Bio-inspired Information and Communications Technologies, BICT 2024

ISBN: (纸本)9783031815980

the proceedings contain 16 papers. the special focus in this conference is on Bio-inspired Information and Communication Technologies. the topics include: Optimizing Drug Delivery Strategies by Pathway Analysis for Waveform Modulation-Based molecular Communication;Enhancing dna-Based IoBNT throughput and Reducing Congestion with Yin-Yang Coding;a molecular Communication Model Driven by Magnetic Field Force;CDM Based on Izhikevich Neuron Model;multi-user Diffusive molecular Communication Systems with A Passive Relay Node: Receiver Design and Performance Analysis;machine Learning-Based Detection Time Estimation for molecular Communication;taming Signal-Dependent Counting Noise with Machine Learning for molecular Communication;energy-Efficient Transmitter Creation in molecular Communication;a Method for Determining Relay Node Location in molecular Communication;glycemic Oscillation Decomposition-Based Personalized Blood Glucose Prediction with Continuous Glucose Monitoring;A Compact Bio-inspired Microstrip Antenna (Bi-MPA) for Medical Microwave Imaging Applications;Image Encryption and Decryption Algorithm Based on dna Sequence: Performance Analysis of Channel Fusion Processing;Optimizing the Classification of SSVEP Signals in Brain-Computer Interfaces: A Novel Sliding Window Data Segmentation Method Based on Weighted Voting Mechanism;spontaneous Motion of Nanorobots Inspired Computational Technology for Tumor Boundary Exploration.

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A Comparison of Frameworks for Heterogeneous computing Using High-Performance Pattern-Matching for dna Biometrics and Digital Forensics 17th

A Comparison of Frameworks for Heterogeneous Computing Usi...

引用

17th international conference on Computational Intelligence in Security for Information Systems, CISIS 2024 and the 15th international conference on EUropean Transnational Education, ICEUTE 2024

作者： Stratan, Lia Pungila, Ciprian Faculty of Mathematics and Informatics West University of Timisoara Timişoara Romania

ISBN: (纸本)9783031750151

In this paper we explore popular parallel computing frameworks, used in high-performance pattern-matching applications involving heterogenous architectures, specifically based on CPU/GPU infrastructures, and with particular emphasis on the Aho-Corasick multiple pattern-matching approach and its applications to dna sequence analysis and digital forensics. Our experiments showed that modern managed frameworks, such as SYCL, could serve as a viable replacement for dedicated frameworks such as CUDA and OpenCL, showcasing a comparable throughput, while being more flexible and developer-friendly. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Parallel architectures

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Enhancing dna-Based IoBNT throughput and Reducing Congestion with Yin-Yang Coding 15th

Enhancing DNA-Based IoBNT Throughput and Reducing Congestion...

引用

15th international conference on Bio Inspired Information and Communications Technologies

作者： Cheng, Wanli Sun, Yue Wang, Qingwen Chen, Yifan Yang, Kun Chengdu Univ Technol Sch Mech & Elect Engn Chengdu 610059 Peoples R China Univ Elect Sci & Technol China Sch Life Sci & Technol Chengdu 610000 Peoples R China Univ Essex Colchester CO4 3SQ Essex England

ISBN: (纸本)9783031815980;9783031815997

this paper presents a focused analysis of enhancing the Internet of Bio-Nano things (IoBNT) network performance by addressing congestion and improving throughput. We introduce a propagation model for a high-throughput dna-based track-hopper channel to study congestion using molecular hopper dynamics and Markov state transitions alongside a novel approach for throughput measurement. Our research aims at reducing congestion by increasing information density, allowing for more efficient data transmission with fewer packets. Initially, attempts to amplify density encountered challenges related to bio-compatibility and increased decoding errors. Moreover, congestion precipitated the formation of problematic dna structures such as hairpins during sequencing. We adopted the yin-yang coding (YYC) to overcome these hurdles, encoding two binary bits into one nucleotide for sequences compatible with synthesis and sequencing technologies. Simulation results validate the YYC coding mechanism's effectiveness and propagation models' robustness, significantly advancing IoBNT network performance optimization.

关键词： IoBNT molecular Hopper Markov State Transition Network Congestion Network throughput

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17th international conference on Computational Intelligence in Security for Information Systems, CISIS 2024 and the 15th international conference on EUropean Transnational Education, ICEUTE 2024

17th International Conference on Computational Intelligence ...

引用

17th international conference on Computational Intelligence in Security for Information Systems, CISIS 2024 and the 15th international conference on EUropean Transnational Education, ICEUTE 2024

ISBN: (纸本)9783031750151

the proceedings contain 33 papers. the special focus in this conference is on Computational Intelligence in Security for Information Systems. the topics include: An Approach Based on LLMs for Forensic threat Detection in Autonomous Systems;smart Water Meter Network Anomaly and Failure Detection System;Design and Implementation of a Fast, Platform-Adaptive, AIS-20/31 Compliant PLL-Based True Random Number Generator on a Zynq 7020 SoC FPGA;A Comparison of Frameworks for Heterogeneous computing Using High-Performance Pattern-Matching for dna Biometrics and Digital Forensics;Fuzzing Robotic Software Using HPC and LLM;performance Impact of Strengthening the Accountability and Explainability System in Autonomous Robots;Generation of Industrial Protocol-Traffic via Enhanced Wasserstein GAN;cyber Security in Hospitals: A Network-Oriented Model for Behavioural Learning of Employees During Phishing Simulations;Augmenting API Security Testing with Automated LLM-Driven Test Generation;Exploring the Use of LLMs to Understand Network Traces;securing V2X Communication: A Hybrid Deep Learning Approach for Misbehavior Detection;Use of GAN Models and CNN Heatmaps in Malware;Evaluating Sniffers, IDS, and IPS: A Systematic Literature Mapping;Performance Analysis of NTT Algorithms;exploring the Landscape of Honeypots in the Fight Against Cyber threats: A Systematic Mapping of Literature;phishing and Spam Prevention Powered by Jetson Nano;decentralized Edge-Based Detection of Label Flipping Attacks in Federated Learning;analysis of Post-Quantum Cryptographic Algorithms: A Systematic Literature Review;A Comparison of AI-Enabled Techniques for the Detection of Attacks in IoT Devices;understanding Malware Dynamics in IoT Networks: Dataset Construction Using Mathematical Epidemiology and Complex Networks;Quality of Service Enhancement for IoT-Based Smart Office System Using Ad Hoc On-Demand Distance Vector-Smart Control Ration Control Algorithm (AODV-SRCA);cyberattack Detector for Real-Time

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Modelling and Optimisation of a dna Stack Nano-Device Using Probabilistic Model Checking 28

Modelling and Optimisation of a DNA Stack Nano-Device Using ...

引用

28th international conference on dna computing and molecular programming, dna 2022

作者： Li, Bowen Mackenzie, Neil Shirt-Ediss, Ben Krasnogor, Natalio Zuliani, Paolo Research Group School of Computing Newcastle University Newcastle upon Tyne United Kingdom

ISBN: (纸本)9783959772532

A dna stack nano-device is a bio-computing system that can read and write molecular signals based on dna-dna hybridisation and strand displacement. In vitro implementation of the dna stack faces a number of challenges affecting the performance of the system. In this work, we apply probabilistic model checking to analyse and optimise the dna stack system. We develop a model framework based on continuous-time Markov chains to quantitatively describe the system behaviour. We use the PRISM probabilistic model checker to answer two important questions: 1) What is the minimum required incubation time to store a signal? And 2) How can we maximise the yield of the system? the results suggest that the incubation time can be reduced from 30 minutes to 5-15 minutes depending on the stack operation stage. In addition, the optimised model shows a 40% increase in the target stack yield. © Bowen Li, Neil Mackenzie, Ben Shirt-Ediss, Natalio Krasnogor, and Paolo Zuliani.

关键词： dna

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the Generalization of the Solution Process in a Mathematical Problem-Solving Activity with an Advanced computing Environment 15

The Generalization of the Solution Process in a Mathematical...

引用

15th international conference on Computer Supported Education, CSEDU 2023

作者： Fissore, Cecilia Fradiante, Valeria Marchisio, Marina Department of Foreign Languages Literatures and Modern Culture Via Giuseppe Verdi 10 Turin10124 Italy Department of Molecular Biotechnology and Health Sciences University of Turin Via Nizza 52 Turin10126 Italy

ISBN: (纸本)9789897586415

In a problem-solving activity, generalizing is an important process by which the specifics of a solution are examined. Technologies support this process, making it possible to create interactive explorations that allow to see how the result changes as the initial data vary. In this article we focus on the generalization of the solution process during a mathematical problem-solving activity using an Advanced computing Environment (ACE). Our research questions are: how can we analyze the skills students develop while generalizing a problem? What are the most frequent difficulties? We analyzed the solution of a problem-solving activity with an ACE submitted by 75 students using a model specially developed by us for studying generalization using interactive components. the model considers three phases: design and choice of interactive components, programming of the system and control stages of generalization of a problem. For each stage we established a set of indicators to understand the competences achieved by each student. the results show that the students generalized the problem using different strategies, with some difficulty in the programming and control phase. the model developed allows to reflect on the skills achieved by students in the various phases of the generalization process. Copyright © 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

关键词： Students

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Optimal design of dna coding based on multi-strategy JAYA algorithm

Optimal design of DNA coding based on multi-strategy JAYA al...

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international Workshop on Advanced Computational Intelligence (IWACI)

作者： Siwei Wang Donglin Zhu Xiao Wang School of Mathematics and Computer Science Zhejiang Normal University Jinhua China Xingzhi College Zhejiang Normal University Jinhua China

dna computing as a future method of computing, has been widely concerned by many scholars because of its high density, high parallelism and other characteristics, which have led to a significant improvement in the storage capacity and computational speed of dna computing, and the optimization problem of dna computing has remained a popular research area until now. this paper proposes an optimisation design for dna coding based on the improved JAYA algorithm, which incorporates saltation learning, lensing learning and the equalisation of random and Halton sequences to initialise populations, improving the standard JAYA algorithm’s shortcomings of strong randomness, uneven population distribution and insufficient inter-population communication, and cleverly balancing the convergence and population diversity of the algorithm, allowing the JAYA algorithm to be able to find better quality in the process of finding the best. the improved JAYA algorithm is proved to be highly practical through ablation study.

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