Accession number:       
20161302144977
        Title:        Gene backup number selection method for embryonics cell
        Authors:        Zhu, Sai1 Email author szhumail@163.com; Cai, Jinyan1 Email author radarc@126.com; Meng, Yafeng1 Email author radarm@126.com; Pan, Gang1
        Author affiliation:        1 Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang, China
        Corresponding author:        Meng, Yafeng (radarm@126.com)
        Source title:        Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
        Abbreviated source title:        Beijing Hangkong Hangtian Daxue Xuebao
        Volume:        42
        Issue:        2
        Issue date:        February 1, 2016
        Publication year:        2016
        Pages:        328-336
        Language:        Chinese
        ISSN:        10015965
        CODEN:        BHHDE8
        Document type:        Journal article (JA)
        Publisher:        Beijing University of Aeronautics and Astronautics (BUAA)
        Abstract:        The existing structures of embryonics cell's genome memory were analyzed, and a reliability model was developed considering the effect of the gene backup number on self-repair process. The hardware overhead model was built depending on the implementations of genome memories. Based on the reliability model and hardware overhead model, the relationship among reliability, hardware overhead and gene backup number was analyzed, and a gene backup number selection method was proposed. The genome memory structure, gene backup number and the size of embryonics array, taking into account the system reliability and hardware overhead, can be selected with the proposed method, according to the design requirement of reliability and hardware overhead of target circuit. So the proposed method can be introduced to the engineering application. At last, the method is verified through a circuit's gene backup number selection. © 2016, Beijing University of Aeronautics and Astronautics (BUAA). All right reserved.
        Number of references:        17
        Main heading:        Genes
        Controlled terms:        Hardware - Reconfigurable hardware - Reliability - Repair
        Uncontrolled terms:        Embryonics - Engineering applications - Existing structure - Hardware overheads - Reliability model - Selection methods - Self repair - System reliability
        Classification code:        461.2 Biological Materials and Tissue Engineering - 605 Small Tools and Hardware - 721.3 Computer Circuits - 913.5 Maintenance
        DOI:        10.13700/j.bh.1001-5965.2015.0122
        Database:        Compendex
                Compilation and indexing terms, © 2016 Elsevier Inc.

Accession number:       
20153201157655
        Title:        Partial-DNA cyclic memory for bio-inspired electronic cell
        Authors:        Zhu, Sai1 Email author szhumail@163.com; Cai, Jin-yan1 Email author radarc@126.com; Meng, Ya-feng1 Email author radarm@126.com
        Author affiliation:        1 Department of Electronic and Optical Engineering, Mechanical Engineering College, Shijiazhuang, China
        Corresponding author:        Zhu, Sai (szhumail@163.com)
        Source title:        Genetic Programming and Evolvable Machines
        Abbreviated source title:        Genet. Program. Evolvable Mach.
        Volume:        17
        Issue:        2
        Issue date:        June 1, 2016
        Publication year:        2016
        Pages:        83-117
        Language:        English
        ISSN:        13892576
        Document type:        Journal article (JA)
        Publisher:        Springer New York LLC
        Abstract:        Genome memory is an important aspect of electronic cells. Here, a novel genome memory structure called partial-DNA cyclic memory is proposed, in which cells only store a portion of the system’s entire DNA. The stored gene number is independent of the scale of embryonic array and of the target circuit, and can be set according to actual demand in the design process. Genes can be transferred in the cell and the embryonics array through intracellular and intercellular gene cyclic and non-cyclic shifts, and based on this process the embryonic array’s functional differentiation and self-repair can be achieved. In particular, lost genes caused by faulty cells can be recovered through gene updating based on the remaining normal neighbor cells during the self-repair process. A reliability model of the proposed memory structure is built considering the gene updating method, and depending on the implementations of the memory, the hardware overhead is modeled. Based on the reliability model and hardware overhead model, we can find that the memory can achieve high reliability with relatively few gene backups and with low hardware overhead. Theoretical analysis and a simulation experiment show that the new genome memory structure not only achieves functional differentiation and self-repair of the embryonics array, but also ensures system reliability while reducing hardware overhead. This has significant value in engineering applications, allowing the proposed genome memory structure to be used to design larger scale self-repair chips. © 2015, Springer Science+Business Media New York.
        Number of references:        27
        Main heading:        Genes
        Controlled terms:        DNA - Hardware - Reliability - Reliability analysis - Repair - Structural design
        Uncontrolled terms:        Embryonics - Engineering applications - Hardware overheads - Memory structure - Reliability model - Self repair - System reliability - Updating methods
        DOI:        10.1007/s10710-015-9248-2
        Database:        Compendex
                Compilation and indexing terms, © 2016 Elsevier Inc，

Partial-DNA cyclic memory for bio-inspired electronic cell
作者:Zhu, S (Zhu, Sai)[ 1 ] ; Cai, JY (Cai, Jin-yan)[ 1 ] ; Meng, YF (Meng, Ya-feng)[ 1 ]
GENETIC PROGRAMMING AND EVOLVABLE MACHINES
卷: 17  期: 2  页: 83-117
DOI: 10.1007/s10710-015-9248-2
出版年: JUN 2016
查看期刊信息
摘要
Genome memory is an important aspect of electronic cells. Here, a novel genome memory structure called partial-DNA cyclic memory is proposed, in which cells only store a portion of the system's entire DNA. The stored gene number is independent of the scale of embryonic array and of the target circuit, and can be set according to actual demand in the design process. Genes can be transferred in the cell and the embryonics array through intracellular and intercellular gene cyclic and non-cyclic shifts, and based on this process the embryonic array's functional differentiation and self-repair can be achieved. In particular, lost genes caused by faulty cells can be recovered through gene updating based on the remaining normal neighbor cells during the self-repair process. A reliability model of the proposed memory structure is built considering the gene updating method, and depending on the implementations of the memory, the hardware overhead is modeled. Based on the reliability model and hardware overhead model, we can find that the memory can achieve high reliability with relatively few gene backups and with low hardware overhead. Theoretical analysis and a simulation experiment show that the new genome memory structure not only achieves functional differentiation and self-repair of the embryonics array, but also ensures system reliability while reducing hardware overhead. This has significant value in engineering applications, allowing the proposed genome memory structure to be used to design larger scale self-repair chips.
关键词
作者关键词:Embryonics; Genome memory; Gene shift; Reliability; Self-repair
KeyWords PlusOETIC TISSUE; SYSTEMS; RECONFIGURATION; ARCHITECTURE; RECOVERY
作者信息
通讯作者地址: Zhu, S (通讯作者)
              Mech Engn Coll, Dept Elect & Opt Engn, Shijiazhuang, Peoples R China.
地址:
              [ 1 ] Mech Engn Coll, Dept Elect & Opt Engn, Shijiazhuang, Peoples R China
电子邮件地址:szhumail@163.com; radarc@126.com; radarm@126.com
基金资助致谢
基金资助机构        授权号
National Natural Science Foundation of China        
61271153
61372039
查看基金资助信息   
出版商
SPRINGER, 233 SPRING ST, NEW YORK, NY 10013 USA
类别 / 分类
研究方向:Computer Science
Web of Science 类别:Computer Science, Artificial Intelligence; Computer Science, Theory & Methods
文献信息
文献类型:Article
语种:English
入藏号: WOS:000376876700001
ISSN: 1389-2576
eISSN: 1573-7632
其他信息
IDS 号: DN2EK
Web of Science 核心合集中的 "引用的参考文献": 27
Web of Science 核心合集中的 "被引频次": 0

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