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Article
Publication date: 24 August 2010

Kumar S. Ray and Piyali Chatterjee

The purpose of this paper is to propose an alternative approach to approximate reasoning by DNA computing, thereby adding a new dimension to the existing approximate…

Abstract

Purpose

The purpose of this paper is to propose an alternative approach to approximate reasoning by DNA computing, thereby adding a new dimension to the existing approximate reasoning method by bringing it down to nanoscale computing. The logical aspect of approximate reasoning is replaced by DNA chemistry.

Design/methodology/approach

To achieve this goal, first the synthetic DNA sequence fuzzified by quantum dot, which is a recent advancement of nanotechnology. Thus with the help of fuzzy DNA, which holds the vague concept of human reasoning, the basic method of approximate reasoning on a DNA chip is realized. This approach avoids the tedious choice of a suitable implication operator (for a particular application) necessary for existing approximate reasoning based on fuzzy logic. The inferred consequences obtained from DNA computing‐based approximate reasoning is ultimately hybridized with appropriate complementary sequence probed on a DNA‐chip to confirm the result of inference.

Findings

The present approach is suitable for reasoning under vague and uncertain environment and does not require any subject choice of any individual expert, which is essential for existing approximate reasoning method.

Originality/value

This new tool for approximate reasoning based on DNA computing is applicable to several problems of science and engineering; namely pattern classification, control theory, weather forecasting, atmospheric science, etc.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 3 no. 3
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 1 June 2012

Kumar S. Ray and Mandrita Mondal

The purpose of this study is to develop a Turing machine or a finite automaton, which scans the input data tape in the form of DNA sequences and inspires the basic design…

Abstract

Purpose

The purpose of this study is to develop a Turing machine or a finite automaton, which scans the input data tape in the form of DNA sequences and inspires the basic design of a DNA computer.

Design/methodology/approach

This model based on a splicing system can solve fuzzy reasoning autonomously by using DNA sequences and human assisted protocols. Its hardware consists of class IIS restriction enzyme and T4 DNA ligase while the software consists of double stranded DNA sequences and transition molecules which are capable of encoding fuzzy rules. Upon mixing solutions containing these components, the automaton undergoes a cascade of cleaving and splicing cycles to produce the computational result in form of double stranded DNA sequence representing automaton's final state.

Findings

In this work, the authors have fused the idea of a splicing system with the automata theory to develop fuzzy molecular automaton in which 1,018 processors can work in parallel, requiring a trillion times less space for information storage, is 105 times faster than the existing super computer and 1,019 power operations can be performed using one Joule of energy.

Originality/value

This paper presents a generalized model for biologically inspired computation in nano scale.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 5 no. 2
Type: Research Article
ISSN: 1756-378X

Keywords

Content available
Article
Publication date: 27 March 2009

Abstract

Details

International Journal of Intelligent Computing and Cybernetics, vol. 2 no. 1
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 12 October 2012

Zhixiang Yin, Jianzhong Cui, Yan Yang, Yin Ma, Wei Wang, Jin Yang and Xia Sun

The bottleneck of current DNA computing paradigms based on brute‐force search strategy is that initial solution space grows exponentially with problem size, thus only…

Abstract

Purpose

The bottleneck of current DNA computing paradigms based on brute‐force search strategy is that initial solution space grows exponentially with problem size, thus only trivial instances of NP‐complete problem can be solved. The purpose of this paper is to present a novel molecular program based on sticker models for solving dominating set problems.

Design/methodology/approach

The authors do not synthesize the initial solution pool containing every possible candidate solution as previously reported algorithm. Instead, solutions DNA molecules to the problem of interest are constructed during the course of computation.

Findings

It is shown that “exponential explosions” inherent in current DNA computing paradigms may be overcome in this way.

Originality/value

The paper proposes an error‐resistant DNA algorithm based on sticker model for solving minimum dominating problems.

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Article
Publication date: 1 April 1978

M.R. WALLACE

Recent developments in genetic engineering have dramatic implications for cybernetics. The possibility of rearranging the instructions on a DNA molecule to any given…

Abstract

Recent developments in genetic engineering have dramatic implications for cybernetics. The possibility of rearranging the instructions on a DNA molecule to any given specification is now accepted as inevitable by biologists. In this paper, we demonstrate that this opens up the possibility of using DNA and the genetic code for storing information of any kind whatsoever including computer programs. The self‐replicating nature of the double helix, its remarkable stability and its infinitessimal size offer considerable scope for the use of this molecule as a generalized means of storing information over and above its biological function in evolution.

Details

Kybernetes, vol. 7 no. 4
Type: Research Article
ISSN: 0368-492X

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Book part
Publication date: 26 October 2017

Feng Yang, Yasen Nuermaiti and Zhimin Huang

The problem of missing children draws much attention of both governmental and nongovernmental organizations in China due to huge numbers of the missing children. According…

Abstract

The problem of missing children draws much attention of both governmental and nongovernmental organizations in China due to huge numbers of the missing children. According to the records of Baby Back Home network (BBHNet), a professional website to search missing children in China, 1,666 missing children have been found via releasing information on BBHNet; however, there are still 30,561 families searching for their children and 24,603 missing children are searching for biological parents through this website and have not succeeded yet. What is the difference between successful and unsuccessful cases in the aspect of released information? Motivated by this question, our research proposes to determine the crucial information in the process of searching missing children. A logistic regression model was developed on the data summarized from 500 succeed cases and 500 cases which have not succeed yet from BBHNet for forecasting success rate of searching missing children. The model identifies that the differences in terms of released information, number of children, address, and natural geographical features are the three most crucial factors that cause differences in the result of searching. This research can be used as a guide for improving the success rate of searching missing children and provide reference for developing a missing children information-sharing platform.

Details

Advances in Business and Management Forecasting
Type: Book
ISBN: 978-1-78743-069-3

Keywords

Content available
Article
Publication date: 1 December 2003

B.H. Rudall

Abstract

Details

Kybernetes, vol. 32 no. 9/10
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 1 September 2004

D.M. Hutton

Abstract

Details

Kybernetes, vol. 33 no. 8
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 1 January 2006

K.T. Anuradha and H.S. Usha

The purpose of this study is to investigate the use and usability of e‐books from the perspectives of users in an academic and research environment.

Abstract

Purpose

The purpose of this study is to investigate the use and usability of e‐books from the perspectives of users in an academic and research environment.

Design/methodology/approach

This study involved an e‐mail questionnaire to survey researchers in the academic and research environment of the Indian Institute of Science regarding their use of e‐books.

Findings

The responses indicated that the students tend to use this new technology more often than faculty members and staff. Those who did use e‐books mostly used reference and technical material. The highest response was from the Centre for Ecological Science, followed by the Supercomputer Education and Research Centre, and then the Department of Molecular Reproduction and Development and Genetics. The majority of the respondents have used computers for over five years for a variety of purposes including e‐mail communication, internet browsing and text processing as well as for other advanced uses such as numerical computing and DNA sequence analysis. However, the use of e‐books appears to be very low, indicating a requirement for creating awareness and user education about both software and hardware related to e‐books. Only 37 of the 104 respondents had used the free trial offer from Kluwer and Edutech eBooks during July 2004.

Originality/value

There has been no previous study reported which has investigated users' perspectives of e‐books in an academic and research environment in India using a questionnaire method.

Details

Program, vol. 40 no. 1
Type: Research Article
ISSN: 0033-0337

Keywords

Content available
Article
Publication date: 28 March 2008

Hai-Bin Duan

Abstract

Details

International Journal of Intelligent Computing and Cybernetics, vol. 1 no. 1
Type: Research Article
ISSN: 1756-378X

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