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检索条件"任意字段=17th International Conference on DNA Computing and Molecular Programming, DNA 17"

共 109 条记录，以下是21-30 订阅

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Transmembrane signal transducing dna nanosensors for intact membrane enclosed biomarker detections 17

Transmembrane signal transducing DNA nanosensors for intact ...

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17th Annual conference on Foundations of Nanoscience: Self-Assembled Architectures and Devices, FNANO 2020

作者： Dey, Swarup Alonzo Beatty, V. Zhang, Fei Hariadi, Rizal F. Liu, Yan Yan, Hao Biodesign Center for Molecular Design and Biomimetics Arizona State University TempeAZ85287 United States School of Molecular Science Arizona State University TempeAZ85287 United States School of Life Sciences Arizona State University TempeAZ85287 United States Department of Chemistry Rutgers University RutgersNJ07102 United States Department of Physics Arizona State University TempeAZ85287 United States

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Continuation Semantics for Interaction and Concurrency

Continuation Semantics for Interaction and Concurrency

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IEEE international conference on Intelligent Computer Communication and Processing (ICCP)

作者： Eneia Nicolae Todoran Technical University of Cluj-Napoca Cluj-Napoca Romania

ISBN: (纸本)9781665409773

We present an operational semantics designed in continuation-passing style for an abstract concurrent language providing a general mechanism of multiparty interactions. Using the classic notion of strong bisimulation, we show that the basic laws of concurrent systems are satisfied in this semantics. By customizing the behavior of continuations, we obtain semantic models for formalisms based on Milner’s CCS extended with constructions for multiparty interactions.

关键词： Concurrent computing conferences Computational modeling Semantics Extraterrestrial measurements dna computing

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the Biotechnological Method for Constructing Acoustic and Vibration Sequences Based on Genetic dna Sequences

The Biotechnological Method for Constructing Acoustic and Vi...

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4th international conference of Artificial Intelligence, Medical Engineering, Education, AIMEE 2020 held at the Mechanical Engineering Institute of the Russian Academy of Sciences, 2020

作者： Oleynikov, Roman V. Petoukhov, Sergey V. Soshinsky, Ivan S. Mechanical Engineering Research Institute Russian Academy of Sciences M. Kharitonievsky pereulok 4 Moscow Russia Moscow State Tchaikovsky Conservatory Bolshaya Nikitskaya 13/6 Moscow Russia

ISBN: (纸本)9783030671327

the paper is devoted to the usage of binary-oppositional molecular features of dna nucleotides for presentation of dna sequences as interrelated parallel sets of binary-numeric sequences, which can be converted into corresponding sequences of polyphonic incentives of different physical nature: acoustical, vibrational, electrical, magnetic, and optical. Such interrelated sets of binary-numeric sequences reproduce in some degree a complex informational content of genetic sequences and are interesting for their applications in different biotechnologies concerning cell cultures, regenerative medicine and also musical therapy. the binary-numeric representations of eukaryotic and prokaryotic genomes are described, which have universal algebra-harmonic properties, connected with the harmonic progression known long ago in musicology and other scientific fields. these genomic properties were discovered due to a presented method of oligomer sums. © 2021, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： dna sequences

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Using Deep Learning to Predict Transcription Factor Binding Sites Combining Raw dna Sequence, Evolutionary Information and Epigenomic Data 17th

Using Deep Learning to Predict Transcription Factor Binding ...

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17th international conference on Intelligent computing, ICIC 2021

作者： Xu, Youhong Zhang, Qinghu Chen, Zhanheng Yuan, Changan Qin, Xiao Wu, Hongjie Guangxi Academy of Science Nanning530007 China School of Computer and Information Engineering Nanning Normal University Nanning530299 China School of Electronic and Information Engineering Suzhou University of Science and Technology Suzhou215009 China

ISBN: (纸本)9783030845315

dna-binding proteins (DBPs) have an important role in various regulatory tasks. In recent years, with developing of deep learning, many fields like natural language processing, computer vision and so on have achieve great success. Some great model, for example DeepBind, brought deep learning to motif discovery and also achieve great success in predicting dna-transcription factor binding, aka motif discovery. But these methods required integrating multiple features with raw dna sequences such as secondary structure and their performances could be further improved. In this paper, we propose an efficient and simple neural network-based architecture, DBPCNN, integrating conservation scores and epigenomic data to raw dna sequences for predicting in-vitro dna protein binding sequence. We show that conservation scores and epigenomic data for raw dna sequences can significantly improve the overall performance of the proposed model. Moreover, the automatic extraction of the DBA-binding proteins can enhance our understanding of the binding specificities of DBPs. We verify the effectiveness of our model on 20 motif datasets from in-vitro protein binding microarray data. More specifically, the average area under the receiver operator curve (AUC) was improved by 0.58% for conservation scores, 1.29% for MeDIP-seq, 1.20% for histone modifications respectively, and 2.19% for conservation scores, MeDIP-seq and histone modifications together. And the mean average precision (AP) was increased by 0.62% for conservation scores, 1.46% for MeDIP-seq, 1.27% for histone modifications respectively, and 2.29% for conservation scores, MeDIP-seq and histone modifications together. © 2021, Springer Nature Switzerland AG.

关键词： Transcription factors

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Autonomous Design of Biomimetic 3D dna Origami Capsules 17

Autonomous Design of Biomimetic 3D DNA Origami Capsules

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17th Annual conference on Foundations of Nanoscience: Self-Assembled Architectures and Devices, FNANO 2020

作者： Narayanan, Raghu Pradeep Fu, Daniel Zhang, Fei Williams, Dewight Schreck, John Reif, John Yan, Hao School of Molecular Sciences and Biodesign Institute Arizona State University TempeAZ85287 United States Department of Computer Science DurhamNC27708 United States Department of Chemistry Rutgers University NewarkNJ07102 United States Erying Materials Center Arizona State University Office of Knowledge Enterprise Development TempeAZ85287 United States Department of Chemical Engineering Colombia University New YorkNY10027 United States

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Renewable implementation of rational biomolecular systems design 59

Renewable implementation of rational biomolecular systems de...

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59th Annual conference of the Society-of-Instrument-and-Control-Engineers-of-Japan (SICE)

作者： Tamba, Masaaki Nakakuki, Takashi Kyushu Inst Technol Major Syst Design & Informat Iizuka Fukuoka 8208502 Japan Kyushu Inst Technol Dept Intelligent & Control Syst Iizuka Fukuoka 8208502 Japan

ISBN: (纸本)9781728110899

Recently, a rationally designed method enabling the development of large-scale biomolecular circuits by combining three basic elements (catalysis, degradation, and annihilation mechanisms) like a Lego block was established. Although this method is instrumental in forming a functional biomolecular circuit, the circuit can operate normally only for a limited amount of time, which is a serious limitation in the field of dna computing. In this study, we developed a conventional method of biomolecular implementation to make linear input-to-output systems renewable.

关键词： Biomolecular systems molecular programming Nucleic acid circuits dna strand displacement Renewable

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Parallel dna computing Model of Point-Doubling in Conic Curves Cryptosystem over Finite Field GF(2n) 21

Parallel DNA Computing Model of Point-Doubling in Conic Curv...

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21st IEEE international conference on High Performance computing and Communications, 17th IEEE international conference on Smart City and 5th IEEE international conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Li, Yongnan Xiao, Limin School of Criminal Investigation and Counter Terrorism People's Public Security University of China Beijing100038 China School of Computer Science and Engineering Beihang University Beijing100191 China

ISBN: (纸本)9781728120584

dna cryptography becomes a burgeoning new area of study along with the fast-developing of dna computing and modern cryptography. Point-doubling, point-addition and point-multiplication are three fundamental point-operations to construct encryption protocols in some cryptosystem over mathematical curves such as elliptic curves and conic curves. this paper proposes a dna computing model to calculate point-doubling in conic curves cryptosystem over finite field GF(2n). By decomposing and rearranging the computing steps of point-doubling, the assembly process could be fulfilled by using 8 different types of computation tiles performing different functions with 1097 encoding ways. this model could also figure out point-multiplication if its coefficient is 2k. the assembly time complexity is (2k+1)n-k-1, and the space complexity is (kn)2+k(n2)-(k2)n. © 2019 IEEE.

关键词： Cryptography

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17th international conference on Web Information Systems and Applications, WISA 2020

17th International Conference on Web Information Systems and...

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17th international conference on Web Information Systems and Applications, WISA 2020

ISBN: (纸本)9783030600280

the proceedings contain 58 papers. the special focus in this conference is on Web Information Systems and Applications. the topics include: Extraction and portrait of knowledge points for open learning resources;a method for resisting adversarial attack on time series classification model in iot system;variable-length indistinguishable binary tree for keyword searching over encrypted data;wltdroid: Repackaging detection approach for android applications;evolutionary-based image encryption with dna coding and chaotic systems;cross-lingual public opinion tracing based on blockchain technology;proof of activity consensus algorithm based on credit reward mechanism;blockchain and distributed system;efficient patient-friendly medical blockchain system based on attribute-based encryption;serving at the edge: A redactable blockchain with fixed storage;deep hybrid knowledge graph embedding for top-n recommendation;PS-LDA: A course item model for tutorial personalized recommendation;an explainable recommendation method based on multi-timeslice graph embedding;effective knowledge-aware recommendation via graph convolutional networks;preface;influence of periodic role switching intervals on pair programming effectiveness;geographical information enhanced poi hierarchical classification;gne: Generic heterogeneous information network embedding;slpso-based x-architecture steiner minimum tree construction;micro-nano depth information recovery method based on tv regularization;An approach for progressive set similarity join with GPU accelerating;prediction method of code review time based on hidden markov model;Evaluation and prediction of COVID-19 based on time-varying sir model;quality control method for peer assessment system based on multi-dimensional information;fast dynamic density outlier detection algorithm for power quality disturbance data;word embedding-based reformulation for long queries in information search.

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2D henon-chebyshev chaotic map for image encryption 21

2D henon-chebyshev chaotic map for image encryption

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作者： Qi, Fei Huang, Sijiang Li, Tong Yang, Haotian Kang, Xuejing School of Information and Communication Engineering Beijing University of Posts and Telecommunications China School of Computer Science Beijing University of Posts and Telecommunications China

ISBN: (纸本)9781728120584

Chaotic systems is widely employed in image encryption on account of its momentous properties including nonperiodicity, ergodicity, randomness and initial state sensitivity. However, some chaos-based cryptosystems still exhibit security problems due to the weak performance of their applied chaotic maps. To address those problems, a new two-dimensional HenonChebyshev map (2D-HCM) is first proposed in this paper. It is generated by connecting Henon map and Chebyshev map where the output of one map is used to adapt the input of the others. It results in a better chaotic performance in 2D-HCM, including better chaotic behaviors, higher chaotic index, wider chaotic range and finer ergodicity than other extant chaotic maps. Using the 2D-HCM, we further design an image encryption algorithm. the proposed algorithm disorganize the pixel positions of the input plain image with random sequence generated by 2D-HCM, and then convert it into dna-planes using dna operation rules. Finally, the cipher image is acquired by employing the newly defined dna-level 2D cellular automata (dna-CA) to update the dna-planes in each iteration where 2D-HCM produces the rule number sequences applied in the update. Our scheme has proven to be highly efficient and secure by the experimental results and security analysis. © 2019 IEEE.

关键词： dna

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An IGS algorithm applied to dna sequence design 17

An IGS algorithm applied to DNA sequence design

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17th IEEE international conference on Dependable, Autonomic and Secure computing, IEEE 17th international conference on Pervasive Intelligence and computing, IEEE 5th international conference on Cloud and Big Data computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019

作者： Liu, Kaiqiang Wang, Bin Liu, Yuan Wu, Ranfeng Zhang, Xun Liu, Xin Zhang, Qiang Yin, Zhixiang Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China School of Mathematics and Big Data Anhui University of Science and Technology Dalian China

ISBN: (纸本)9781728130255;9781728130248

American scientist Adelman first used dna molecules to solve the NP-complete problem, thus creating a new research field. As an advanced interdisciplinary subject, it has attracted many scholars because of its high parallelism, great storage density and low energy consumption. dna sequence design is critical in the field of dna computing. the success of dna computing depends on the quality of dna sequence. In this paper, we proposed an improved gravitational search algorithm for dna sequence design. We improved the gravitational coefficient and introduced chaotic system and Gaussian mutation to the position update of the particles. We compared the result from our improved algorithm with the result obtained by other algorithms. the result shows that our proposed algorithm can generate high quality dna sequence for dna computing. © 2019 IEEE.

关键词： dna computing dna sequence design Gravitational search algorithm NP-complete problem

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