Significance of big data analytics and the internet of things (IoT) aspects in industrial development, governance and sustainability

Andersen, Daniel Lee; Ashbrook, Christine Sarah Anne; Karlborg, Neil Bang

doi:10.1016/j.ijin.2020.12.003

Cited by 14 publications

(5 citation statements)

References 22 publications

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“…In other words, IoT helps manage big data so that users can make the right decisions based on the collected data [31]- [33].…”

Section: Resultsmentioning

confidence: 99%

The Impact of IoT on The Storing Process of Leather Raw Material

Antonius,

Saepudin

2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

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A critical step in processing leather raw material is the storing that keeps them in good condition and not easily damaged through the right temperature and humidity level, as otherwise the quality of leather raw material would not be consistent and its economic value would be low. This particular study, therefore, is to conduct an experiment that uses the Internet of Things (IoT) which allows proactive monitoring in keeping a specific temperature and humidity level in their storing process. Hence the subsequent leather processing can be done at the optimal level. The experimentation showed positive results as the use of IoT made storing process of leather raw materials became more proactive and run three times more effective, from just 8 hours to 24 hours, and also brought about a positive effect on the economic efficiency and effectiveness as it enable users to produce more consistent quality of leather raw material whilst the total operating costs remained and even lower. Besides its economic impact, IoT has increased the workers' and their relatives' welfare and social life driven by better income and less time consuming. It also brings about some positive environmental effects as it reduced carbon emissions by keeping energy waste at a lower level.

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“…In other words, IoT helps manage big data so that users can make the right decisions based on the collected data [31]- [33].…”

Section: Resultsmentioning

confidence: 99%

The Impact of IoT on The Storing Process of Leather Raw Material

Antonius,

Saepudin

2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

View full text Add to dashboard Cite

show abstract

“…Each block has a timestamp, a cryptographic digest of the block before it, and transaction data [ 51 ]. Big Data Analytics Big Data analytics reveals significant insights, including hidden relationships, market trends, and consumer preferences [ 64 ]. Robotics Robotics is the synthesis of engineering, science, and technology that results in devices, referred to as robots, that mimic or take the place of human beings in performing tasks [ 65 ].…”

Section: Background Literaturementioning

confidence: 99%

Exploring the application of ICTs in decarbonizing the agriculture supply chain: A literature review and research agenda

El jaouhari,

Arif,

Samadhiya

et al. 2024

Heliyon

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“…Figure 1 presents the ITU prediction outputs. As digital transformation and its volume expand with the benefits of widespread coverage and lightning-fast connections, it also faces significant challenges in managing the growth in data, devices, and services [4,5]. To address these evolving challenges, a shift towards network automation is essential to breaking down barriers within end-to-end (E2E) solutions, which spans three domains: radio access networks (RAN), transport networks, and core networks.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches

Tam,

Ros,

Song

et al. 2024

Electronics

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This paper provides a comprehensive survey of the integration of graph neural networks (GNN) and deep reinforcement learning (DRL) in end-to-end (E2E) networking solutions. We delve into the fundamentals of GNN, its variants, and the state-of-the-art applications in communication networking, which reveal the potential to revolutionize access, transport, and core network management policies. This paper further explores DRL capabilities, its variants, and the trending applications in E2E networking, particularly in enhancing dynamic network (re)configurations and resource management. By fusing GNN with DRL, we spotlight novel approaches, ranging from radio access networks to core management and orchestration, across E2E network layers. Deployment scenarios in smart transportation, smart factory, and smart grids demonstrate the practical implications of our survey topic. Lastly, we point out potential challenges and future research directions, including the critical aspects for modelling explainability, the reduction in overhead consumption, interoperability with existing schemes, and the importance of reproducibility. Our survey aims to serve as a roadmap for future developments in E2E networking, guiding through the current landscape, challenges, and prospective breakthroughs in the algorithm modelling toward network automation using GNN and DRL.

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Significance of big data analytics and the internet of things (IoT) aspects in industrial development, governance and sustainability

Cited by 14 publications

References 22 publications

The Impact of IoT on The Storing Process of Leather Raw Material

The Impact of IoT on The Storing Process of Leather Raw Material

Exploring the application of ICTs in decarbonizing the agriculture supply chain: A literature review and research agenda

A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches

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