Systematic Approach to Arowana Gender Identification Problem using Algorithm of Inventive Problem Solving (ARIZ)

Benjaboonyazit, Trizit

doi:10.4186/ej.2014.18.2.13

Cited by 9 publications

(5 citation statements)

References 5 publications

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“…On the other hand, the widely used standard methods based on DNA sequencing, i.e., polymerase chain reaction (PCR) and gel electrophoresis are labour-, time-, and resource-demanding. An alternative algorithm of inventive problem solving (ARIZ) method was previously employed for the detection of arowana gender detection [ 18 ]. ARIZ is an alternative tool for gender detection, containing nine different parts and a total of 40 complex steps.…”

Section: Introductionmentioning

confidence: 99%

A Highly Sensitive Electrochemical DNA Biosensor from Acrylic-Gold Nano-composite for the Determination of Arowana Fish Gender

Heng

Futra²,

Chiang

et al. 2017

Nanoscale Res Lett

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The present research describes a simple method for the identification of the gender of arowana fish (Scleropages formosus). The DNA biosensor was able to detect specific DNA sequence at extremely low level down to atto M regimes. An electrochemical DNA biosensor based on acrylic microsphere-gold nanoparticle (AcMP-AuNP) hybrid composite was fabricated. Hydrophobic poly(n-butylacrylate-N-acryloxysuccinimide) microspheres were synthesised with a facile and well-established one-step photopolymerization procedure and physically adsorbed on the AuNPs at the surface of a carbon screen printed electrode (SPE). The DNA biosensor was constructed simply by grafting an aminated DNA probe on the succinimide functionalised AcMPs via a strong covalent attachment. DNA hybridisation response was determined by differential pulse voltammetry (DPV) technique using anthraquinone monosulphonic acid redox probe as an electroactive oligonucleotide label (Table 1). A low detection limit at 1.0 × 10−18 M with a wide linear calibration range of 1.0 × 10−18 to 1.0 × 10−8 M (R 2 = 0.99) can be achieved by the proposed DNA biosensor under optimal conditions. Electrochemical detection of arowana DNA can be completed within 1 hour. Due to its small size and light weight, the developed DNA biosensor holds high promise for the development of functional kit for fish culture usage.

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Section: Introductionmentioning

confidence: 99%

A Highly Sensitive Electrochemical DNA Biosensor from Acrylic-Gold Nano-composite for the Determination of Arowana Fish Gender

Heng

Futra²,

Chiang

et al. 2017

Nanoscale Res Lett

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“…When the system is classified into subsystems, it will be easier to be managed. [13,14]. It clearly shows the inside relation among the actors, the constraints, and the data.…”

Section: Systems Thinking Framework Designmentioning

confidence: 91%

An Application of Systems Thinking for Solving Inventory Management Problems

Kositphon

Chaovalitwongse

2016

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Abstract. This study is motivated by the fact that inventory management problem is focused throughout the industrial firms nowadays as well as inventory management problems are not easy to be appropriately solved. According to the concept of systems approach can better give more effective result especially when applied to complex problems. In this paper, we propose a systems thinking framework for solving real-world inventory management problems. The systems thinking framework comes with three case studies to enhance better understanding of how to apply the framework with problems. This study aims to bring about the ideas for solving inventory management problems in more practical fashion. In addition to benefit the development of the proposed framework, the instructors and the industrial firms will gain the high-performing students or workers, who can get to the point of problem and can propose the reasonable solution to effectively dealing with problems. Moreover, this study can be used as a guideline for engineering educators to develop other meaningful methods in advances. We expect that if the case studies are collected much enough, the knowledge-based system for solving inventory management problems can be built for easy investigation to whom have the interest in solving inventory management problems.

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“…The study proposed an ARIZ-based DSS to integrate multiple dimensions of parameters into a single decision support tool. More ARIZbased integration studies can be found in on an eco-innovation biomimetic design tool and [5] on arowana gender identification among others.…”

Section: Analyzing the Solutionmentioning

confidence: 99%

Supporting Decision Making With an Ariz-Based Model for Smart Manufacturing

Koay

Tan

Teh

et al. 2023

MJCS

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Smart manufacturing has transformed the way decisions are made. By accelerating the delivery of data to the various decision points, more rapid decision-making processes can be realized. A generic Decision Support System (DSS) utilizes an efficient technique, which integrates the algorithm for inventive problem solving (ARIZ) and supervised machine learning into a model for supporting various automated decision making processes. The proposed model is to examine the theoretical framework of ARIZ by devising an ARIZ-based DSS model. It incorporates supervised ML algorithms to assist decision making processes. Three case studies from the manufacturing sector are evaluated. The results indicate the capability of the proposed DSS in achieving a high accuracy rate and, at the same time reducing the time and resources required for decision making. Our study has simplified the data processing and extraction processes through an automated ARIZ-based DSS model; therefore enabling a non-technical user the opportunity to harvest the vast knowledge from the collected data for efficient decision making.

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Systematic Approach to Arowana Gender Identification Problem using Algorithm of Inventive Problem Solving (ARIZ)

Cited by 9 publications

References 5 publications

A Highly Sensitive Electrochemical DNA Biosensor from Acrylic-Gold Nano-composite for the Determination of Arowana Fish Gender

A Highly Sensitive Electrochemical DNA Biosensor from Acrylic-Gold Nano-composite for the Determination of Arowana Fish Gender

An Application of Systems Thinking for Solving Inventory Management Problems

Supporting Decision Making With an Ariz-Based Model for Smart Manufacturing

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