IoT Architecture based on Information Flow Diagram for Vermiculture Smart Farming Kit

Rukhiran, Meennapa; Netinant, Paniti

doi:10.18421/tem94-03

Cited by 13 publications

(11 citation statements)

References 24 publications

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“…The error rate indicator score should ideally be nearly zero, meaning that FAR and FAR are equal to zero. FAR can be expressed as (3).…”

Section: Biometric Quality Metric Of Effectiveness Evaluation Criteriamentioning

confidence: 99%

“…In recent years, there have been considerable advances in IoT research. Incorporating IoT technology into biometric recognition systems enables real-time monitoring and remote system access [3], increasing system accessibility and flexibility. Moreover, IoT technology can improve the accuracy and efficiency [4] of biometric recognition systems by enabling the integration of several biometric modalities, such as facial recognition and fingerprint identification [5].…”

Section: Introductionmentioning

confidence: 99%

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IoT-Based Biometric Recognition Systems in Education for Identity Verification Services: Quality Assessment Approach

2023

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Traditional identity verification of students based on the human proctoring approach can cause a scam identity verification and ineffective processing time, particularly among vast groups of students. Most student identification cards are outdated personal information. Several biometric recognition approaches have been proposed and can be adopted to strengthen students' identity verification. Most educational adoption technology struggles with evaluation and validation techniques to ensure that biometric recognition systems are unquestionably suitable for utilization and implementation to fulfill student identity verification. This study presents the internet of things to develop flexible biometric recognition systems and an approach to assess the quality of biometric systems for educational use by investigating the effectiveness of identity verification of various biometric recognition technologies compared to the traditional verification method. The unimodal, multimodal, and semi-multimodal biometric technologies were tested using the developed internet of things-base biometric recognition systems examined by applying the proposed quality metrics of scoring factors based on accuracy, error rate, processing time, and cost. Hundreds of undergraduate exam takers were a sample group. Key findings indicate that the designed and presented systems suitably attain identity verification of exam students using a unimodal biometric. A unimodal face biometric system promises excellent support. A unimodal fingerprint biometric system assures the second excellent aid for student identity verification. However, multimodal and semi-multimodal biometric systems provide better accuracy with few handling times and higher costs. This study contributes significantly to the knowledge of utilizing biometric recognition for identity verification in smart educational use.

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“…The error rate indicator score should ideally be nearly zero, meaning that FAR and FAR are equal to zero. FAR can be expressed as (3).…”

Section: Biometric Quality Metric Of Effectiveness Evaluation Criteriamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

IoT-Based Biometric Recognition Systems in Education for Identity Verification Services: Quality Assessment Approach

2023

Self Cite

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“…As depicted in Figure 7, the information flow diagram (IFD) of the explicit criteria graduate recommender system is designed to provide a seamless and user-friendly experience for identifying suitable graduate programs. The principles of IFD novelty deliver a unified visual representation of system architecture, data and information flow, processes, database systems, user interfaces, and user interaction with the system [89][90][91][92] that can be used to describe the entire related design and development in this study. The system design can perform up to any number of criteria selections.…”

Section: Information Flow Diagram Of Explicit Criteria Graduate Recom...mentioning

confidence: 99%

Dynamic Multi-Criteria Decision Making of Graduate Admission Recommender System: AHP and Fuzzy AHP Approaches

2023

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The optimal management of personal resources impacts everyone’s quality of life. An investment in graduate education is a sustainable opportunity for improved outcomes in human life, including cognition, behavior, life opportunities, salary, and career. Advanced technology dramatically reduces the risk of personal resources in graduate program admission recommendations that depend on multiple individual needs and preferences. In the digital age, a dynamic recommender system enhances the suitably effective solution for students’ university selections. This study focused on designing, developing, and testing a recommender system for graduate admission using a dynamic multi-criteria AHP and fuzzy AHP approach. The explicit multi-criteria recommender system was a platform as a service (PaaS) web application created to aid in graduate admissions management and decision-making. The design proposed that the bit representation store a dynamic explicit multi-criteria data structure. The recommendations adopting dynamic multi-criteria were validated by comparing them to the programs to which the students were actually admitted and enrolled. They individually ranked the evaluation outcomes of dynamic explicit multi-criteria and alternative preferences to provide graduate admission recommendations. Eighty graduate students in information technology evaluated the recommender system. Using top-1, top-2, and F1-score accuracy, the effective system accuracy performance on the dynamic multi-criteria recommender system was evaluated using AHP and fuzzy AHP approaches. The fuzzy AHP demonstrated marginally greater practical accuracy than the AHP method.

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“…Similarly, technological development today is one of the greatest sources of wealth for nations, as long as it is applied to the service of solutions to social, economic, and environmental problems [14][15][16]. In addition, the Internet of Things (IoT) represents a potential system to collect information in agriculture situations in real time [17][18][19][20][21]. In this sense, the IoT system continuously monitors and maintains the necessary parameters at optimal levels, reducing the need for human involvement in the process of vermicomposting [22].…”

Section: Introductionmentioning

confidence: 99%

A Data Analytic Monitoring with IoT System of the Reproductive Conditions of the Red Worm as a Product Diversification Strategy

Sánchez-Mojica,

Pérez-Domínguez,

Gutiérrez Londoño

et al. 2023

Applied Sciences

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The Internet of Things (IoT) is becoming increasingly important due to the ability to collect data in real time and monitor the performance of systems. In this sense, the objective of the project is to create an IoT system to monitor and enhance red boll worm farming conditions in California as part of a strategy to diversify annelid-based goods. Therefore, the goal is to expand this animal’s productivity so that additional items can be made from California red worms. Furthermore, the method used implies a research design that uses an experimental approach to obtain data based on the variable conditions identified in the literature review. The analysis of the data will allow determination of the factors that result in optimization of production, and at the same time creation of a production estimation in the network platform. Finally, this project proposes to facilitate the monitoring and control of the variables that interfere in the earthworm reproduction process to increase the production of annelids in pursuit of product diversification. In addition, we put it into practice in real life to demonstrate its applicability and efficacy. In this mode, the results indicate potential findings about IoT application in agriculture situations.

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IoT Architecture based on Information Flow Diagram for Vermiculture Smart Farming Kit

Cited by 13 publications

References 24 publications

IoT-Based Biometric Recognition Systems in Education for Identity Verification Services: Quality Assessment Approach

IoT-Based Biometric Recognition Systems in Education for Identity Verification Services: Quality Assessment Approach

Dynamic Multi-Criteria Decision Making of Graduate Admission Recommender System: AHP and Fuzzy AHP Approaches

A Data Analytic Monitoring with IoT System of the Reproductive Conditions of the Red Worm as a Product Diversification Strategy

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