Catálogo de publicaciones - libros

Compartir en
redes sociales


Título de Acceso Abierto

Variant Construction from Theoretical Foundation to Applications

Jeffrey Zheng (eds.)

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

No disponibles.

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No requiere 2019 SpringerLink acceso abierto

Información

Tipo de recurso:

libros

ISBN impreso

978-981-13-2281-5

ISBN electrónico

978-981-13-2282-2

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© The Editor(s) (if applicable) and The Author(s) 2019

Tabla de contenidos

Using Information Entropy to Measure Stationary Randomness of Quantum Random Sequences

Weizhong Yang; Yamin Luo; Zhefei Li; Jeffrey Zheng

Different statistical measurements can be used to determine stationary randomness for random sequences. This chapter proposes a testing scheme for random sequences using information entropy as measurements. Datasets are collected from University of Science & Technology of China (USTC), three quantum random sequences are selected for testing. Multiple results are created on three maps, entropy curves, and quantitative measurements of stationary randomness are compared. Three differences of Max-Min entropy variation ratios are bounded in region. The whole structure has measurable stationary properties.

Part VII - Applications—Binary Sequences | Pp. 321-331

Visual Maps of Variant Combinations on Random Sequences

Jeffrey Zheng; Jie Wan

Random sequences play the key role in network security applications. Randomness testing schemes are very important to ensure the randomness qualities for relevant sequences. This chapter proposes a visual scheme based on variant construction to measure sequences to intuitively show some combinatorial properties of key stream generated by stream ciphers. Basic models are described. This scheme provides a flexible framework for the variant measure method on the key stream of stream ciphers to describe randomness in various combinatorial maps.

Part VII - Applications—Binary Sequences | Pp. 333-350

Variant Map System to Simulate Complex Properties of DNA Interactions Using Binary Sequences

Jeffrey Zheng; Weiqiong Zhang; Jin Luo; Wei Zhou; Ruoyu Shen

Stream cipher, DNA cryptography and DNA analysis are the most important R&D fields in both Cryptography and Bioinformatics. HC-256 is an emerged scheme as the new generation of stream ciphers for advanced network security. From a random sequencing viewpoint, both sequences of HC-256 and real DNA data may have intrinsic pseudo-random properties respectively. In a recent decade, many DNA sequencing projects are developed on cells, plants and animals over the world into huge DNA databases. Researchers notice that mammalian genomes encode thousands of large noncoding RNAs (lncRNAs), interact with chromatin regulatory complexes, and are thought to play a role in localizing these complexes to target loci across the genome. It is a challenge target using higher dimensional visualization tools to organize various complex interactive properties as visual maps. The Variant Map System VMS as an emerging scheme is systematically proposed in this chapter to apply multiple maps that uses four Meta symbols as same as DNA or RNA representations. System architecture of key components and core mechanism on the VMS are described. Key modules, equations and their I/O parameters are discussed. Applying the VM System, two sets of real DNA sequences from both sample human (noncoding DNA) and corn (coding DNA) genomes are collected in comparison with pseudo DNA sequences generated by HC-256 to show their intrinsic properties in higher levels of similar relationships among relevant DNA sequences on 2D maps. Sample 2D maps are listed and their characteristics are illustrated under controllable environment. Visual results are briefly analyzed to explore their intrinsic properties on selected genome sequences.

Part VIII - Applications—DNA Sequences | Pp. 353-377

Whole DNA Sequences of on Variant Maps

Yuyuan Mao; Jeffrey Zheng; Wenjia Liu

DNA sequences as a big data stream have been researched for years. However, researches on whole DNA sequences have various limitations to use existing research methods. A new scheme is proposed to map whole DNA sequences as 2D maps in this chapter, the whole DNA sequence of Capuchin monkey () in apes was used as an example to demonstrate the mapping results.

Part VIII - Applications—DNA Sequences | Pp. 379-388

Successful Creation of Regular Patterns in Variant Maps from Bat Echolocation Calls

D. M. Heim; O. Heim; P. A. Zeng; Jeffrey Zheng

We created variant maps based on bat echolocation call recordings and outline here the transformation process and describe the resulting visual features. The maps show regular patterns while characteristic features change when bat call recording properties change. By focusing on specific visual features, we found a set of projection parameters which allowed us to classify the variant maps into two distinct groups. These results are promising indicators that variant maps can be used as basis for new echolocation call classification algorithms.

Part IX - Applications—Multiple Valued Sequences | Pp. 391-400

Visual Analysis of ECG Sequences on Variant Maps

Zhihui Hou; Jeffery Zheng

This chapter presents the variant measurement based on the variant logic, which uses the ECG sequence as the signal source, and outputs the variant maps of ECG sequences. It provides a supplementary study for ECG detection. Samples of ECG signal are collected from the First People’s Hospital of Yunnan Province. Under variant maps, main parameters of various interval values are checked and corresponding maps are illustrated.

Part IX - Applications—Multiple Valued Sequences | Pp. 401-409