Object identification using DNA computing algorithm

Rahman, Mohammad Osiur; Hussain, Aini; Scavino, Edgar; Hannan, M. A.; Basri, Hassan

doi:10.1109/cec.2012.6256526

Cited by 6 publications

(6 citation statements)

References 38 publications

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“…DNA computing algorithm/template matching (Rahman et al 2009c(Rahman et al , 2012a: The average maximum classification success rate of the template matching system is 94.67 %, with a cell size of 5 9 5 pixels. In real-time implementation, the template matching technique is ineffective and inconvenient because of high computational time and lighting sensitivity.…”

Section: Overall Performance Analysis and Discussionmentioning

confidence: 99%

“…First, the seven methods are examined using 100 paper samples. The co-occurrence features (Rahman et al 2009b) and DNA computing algorithm methods (Rahman et al 2009c(Rahman et al , 2012a offer good results in terms of identification, but both methods are discarded because of high computational loads and the need to maintain lighting consistency during the enrollment and identification phases, which results in low robustness. Moreover, user customization for new subcategories is very difficult, resulting in low flexibility.…”

Section: Overall Performance Analysis and Discussionmentioning

confidence: 99%

“…Second, the template matching/DNA computing algorithm was considered for waste paper sorting (Rahman et al 2009c(Rahman et al , 2012a. The technology for DNA computer is under development (Watada and Rohani 2008), but the role of DNA computing technology in applications has increased significantly over the last few years (Yeh and Chu 2008).…”

Section: Review Of Related Issues In Paper Recycling Industrymentioning

confidence: 99%

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A critical review on waste paper sorting techniques

Rahman

Hussain

Basri

2013

Int. J. Environ. Sci. Technol.

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Efficient waste paper recycling has a significant role in the sustainable environment. Recyclable waste paper as a fundamental ingredient of municipal solid wastes (MSWs) is indeed an ''urban ore''. Waste papers are considered as the solid recovered fuel which is recovered from MSW. Recyclable waste papers are segregated into various grades to produce high-quality products. Moreover, sorted paper streams save energy, chemicals, and water, as well as reduce sludge and rejects. Information technology is widely integrated with the waste management industry into its operations such as recycling, reuse, segregating based on categories and so on. This review article focuses on the life cycle of waste paper and existing waste paper sorting techniques. In the paper industry, many types of sensors are used in different mechanical and optical waste paper sorting systems. Such sensors include lignin, gloss, stiffness, mid-infrared, infrared, and color sensors. In this review, also described the effectiveness of different waste paper sorting systems, and finally, recommended appropriate waste paper sorting techniques based on effectiveness and low-cost implementation.

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Section: Overall Performance Analysis and Discussionmentioning

confidence: 99%

Section: Overall Performance Analysis and Discussionmentioning

confidence: 99%

Section: Review Of Related Issues In Paper Recycling Industrymentioning

confidence: 99%

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A critical review on waste paper sorting techniques

Rahman

Hussain

Basri

2013

Int. J. Environ. Sci. Technol.

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“…Furthermore solution should be prepared and solution tubes should be used. Systems named gel electrophoresis are needed for acquiring and analyzing the results [22, 23]. And another algorithm used for DNA computing is the numerical DNA computing algorithm.…”

Section: Dna Computing Algorithmmentioning

confidence: 99%

QPSO‐Based Adaptive DNA Computing Algorithm

Karaköse

Çiğdem

2013

The Scientific World Journal

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DNA (deoxyribonucleic acid) computing that is a new computation model based on DNA molecules for information storage has been increasingly used for optimization and data analysis in recent years. However, DNA computing algorithm has some limitations in terms of convergence speed, adaptability, and effectiveness. In this paper, a new approach for improvement of DNA computing is proposed. This new approach aims to perform DNA computing algorithm with adaptive parameters towards the desired goal using quantum-behaved particle swarm optimization (QPSO). Some contributions provided by the proposed QPSO based on adaptive DNA computing algorithm are as follows: (1) parameters of population size, crossover rate, maximum number of operations, enzyme and virus mutation rate, and fitness function of DNA computing algorithm are simultaneously tuned for adaptive process, (2) adaptive algorithm is performed using QPSO algorithm for goal-driven progress, faster operation, and flexibility in data, and (3) numerical realization of DNA computing algorithm with proposed approach is implemented in system identification. Two experiments with different systems were carried out to evaluate the performance of the proposed approach with comparative results. Experimental results obtained with Matlab and FPGA demonstrate ability to provide effective optimization, considerable convergence speed, and high accuracy according to DNA computing algorithm.

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“…Although their mechanical properties are interior to than the ones of CNFs, this type of fibers could be used to make successful green industrial products. According to the statistics, recycling one ton of paper saves roughly 17 trees, 3.3 cubic yards of landfill space, 360 gallons of water, 100 gallons of gasoline, 60 pounds of air pollutants, 10401 kilowatts of electricity 11 . Therefore, aerogels based on recycled cellulose fibers (RCF) could be a new application for these residues.…”

Section: Introductionmentioning

confidence: 99%

Green bio-based aerogels prepared from recycled cellulose fiber suspensions

Wang

Sánchez‐Soto

2015

RSC Adv.

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Recycled cellulose fibers (RCF) from waste paper were utilized to prepare bio-based aerogels through an environmentally friendly freeze-drying method. Food thickening agent sodium carboxymethyl cellulose (CMC) served as matrix in the bio-aerogels. The microstructures and mechanical properties of the aerogels have been studied as a function of RCF/CMC content. Sodium montmorrilonite (Na + -MMT) and ammonium polyphosphate (APP) were added to enhance the thermal stability and flame retardancy, which were investigated by thermogravimetric analysis (TGA) and cone calorimeter respectively. It was found that the Na + -MMT significantly improved the fire retardancy of the aerogels and APP played a synergistic effect with it. The initial decomposition temperature increased by 15 o C and the peak of heat release rate decreased from 90 to 49.5 kw/m 2 in the presence of 33% clay. Addition of APP further increased the residue amount and reduced the fire growth rate. Fourier transform infrared spectroscopy (FTIR) was used to analyse the char formed after cone calorimeter tests.

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Object identification using DNA computing algorithm

Cited by 6 publications

References 38 publications

A critical review on waste paper sorting techniques

A critical review on waste paper sorting techniques

QPSO‐Based Adaptive DNA Computing Algorithm

Green bio-based aerogels prepared from recycled cellulose fiber suspensions

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