Review on industrial mathematics and materials at Industry 1.0 to Industry 4.0

Vinitha, K.; Prabhu, R. Ambrose; Bhaskar, R.; Hariharan, R.

doi:10.1016/j.matpr.2020.06.331

Cited by 34 publications

(29 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The growth of the industry has increased by 18th century. Due to the lack of technologies owned by the industry, it faces various challenges like production, distribution, supply chain management etc [279]. By the year 2050, technology will have progressed to the level of autonomy [80].…”

Section: Smart Industrymentioning

confidence: 99%

“…With growing technology, artificial intelligence uses in industries also improved. The capability of humans, interaction with computers, and robot workers gives efficient and effective results [279]. This industry proposed the 3D techniques (like 3D printing or additive manufacturing is used for creating 3D objects) with the use of IoT [80].…”

Section: Industry Evolutionmentioning

confidence: 99%

See 1 more Smart Citation

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Kumar

Singh

2022

AIS

View full text Add to dashboard Cite

With the commencement of new technologies like IoT and the Cloud, the sources of data generation have increased exponentially. The use and processing of this generated data have motivated and given birth to many other domains. The concept of a smart city has also evolved from making use of this data in decision-making in the various aspects of daily life and also improvement in the traditional systems. In smart cities, various technologies work collaboratively; they include devices used for data collection, processing, storing, retrieval, analysis, and decision making. Big data storage, retrieval, and analysis play a vital role in smart city applications. Traditional data processing approaches face many challenges when dealing with such voluminous and high-speed generated data, such as semi-structured or unstructured data, data privacy, security, real-time responses, and so on. Probabilistic Data Structures (PDS) has been evolved as a potential solution for many applications in smart cities to complete this tedious task of handling big data with real-time response. PDS has been used in many smart city domains, including healthcare, transportation, the environment, energy, and industry. The goal of this paper is to provide a comprehensive review of PDS and its applications in the domains of smart cities. The prominent domain of the smart city has been explored in detail; origin, current research status, challenges, and existing application of PDS along with research gaps and future directions. The foremost aim of this paper is to provide a detailed survey of PDS in smart cities; for readers and researchers who want to explore this field; along with the research opportunities in the domains.

show abstract

Section: Smart Industrymentioning

confidence: 99%

Section: Industry Evolutionmentioning

confidence: 99%

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Kumar

Singh

2022

AIS

View full text Add to dashboard Cite

show abstract

“…Industry 1.0 is the period that used steam power and mechanisation from 1760 to sometime between 1820-1840; Industry 2.0 is the period that used mass production and development of machine tools from the late 19 th century into the early 20 th century; Industry 3.0 is the period that uses automation and computers, starting from the 1970s and Industry 4.0 started in the 21 st century and uses the Internet of things (IoT), cloud computing, big data, simulation, augmented reality and artificial intelligence (Vinitha et al, 2020). The history of the industrial revolution is based on energy, mechanisation, production and computer technologies, and all of these developments need energy.…”

Section: Co2 Emission and Renewable Energy In Visegrad Countriesmentioning

confidence: 99%

Impacts of Renewable Energy on CO₂ Emission: Evidence from the Visegrad Group Countries

Uğurlu¹

2022

Politics in Central Europe

View full text Add to dashboard Cite

EU policies aim to develop renewable energy share in both production and consumption of total energy and increase the efforts to mitigate climate change. As relatively new EU members, the Visegrad countries aimed to adopt these targets. Therefore, climate change mitigation and CO2 emissions reduction are important issues in Visegrad countries. In this paper, we examine the renewable energy consumption and CO2 emissions relationship in the Visegrad countries. We use the Fully Modified Ordinary Least Square (FMOLS) model to estimate the long-run relationship between the variables using annual data from the period of 2000–2018. The variables used are CO2 emissions, GDP per capita, renewable energy consumption and urban population. The results show that there is cointegration among the variables. The estimated FMOLS model shows that GDP and population increase CO2 consumption, and renewable energy consumption decreases CO2 emissions. Results show that renewable energy consumption has a decreasing effect on CO2 emissions.

show abstract

“…During Industry 3.0, automation solutions were focused on transforming the production processes to be automated and controlled with sensors and actuators, allowing the human operator to monitor the production and make improvements to the working environment [25]. However.…”

Section: Smart Manufacturingmentioning

confidence: 99%

An Overview of Human-Robot Collaboration in Smart Manufacturing

Othman

Yang

2022

2022 27th International Conference on Automation and Computing (ICAC)

View full text Add to dashboard Cite

Industry 4.0, also termed smart manufacturing, has revolutionized the industrial world with cutting-edge technologies such as collaborative robots and artificial intelligence etc. Productivity and efficiency are two key factors that determine the success level of manufacturing. Therefore, many manufacturers have become so eager to adopt adaptive, intuitive, collaborative and smart techniques to improve the production lines, including key manufacturing machines and equipment. Therefore, robotic systems are playing an increasingly vital role in many industrial sectors, as they decrease the need for human labour and increase automation level. In addition, material waste can be also reduced since robots provide stability and accuracy during work. In turn, production times are reduced as well. Consequently, smart manufacturing areas need more advanced, flexible, and smart robotic systems to respond to market size changes and customization processes. As a result, currently, great research efforts are made to enrich the interactions between humans and robots in the work environment. This paper presents an overview of Human-Robot Collaboration (HRC) systems being employed in smart manufacturing to exploit the benefits of human experience and the capabilities of robotic systems. The research gaps, challenges and future work directions on HRC are highlighted and analyzed towards smart manufacturing.

show abstract

Review on industrial mathematics and materials at Industry 1.0 to Industry 4.0

Cited by 34 publications

References 12 publications

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Impacts of Renewable Energy on CO₂ Emission: Evidence from the Visegrad Group Countries

An Overview of Human-Robot Collaboration in Smart Manufacturing

Contact Info

Product

Resources

About

Review on industrial mathematics and materials at Industry 1.0 to Industry 4.0

Cited by 34 publications

References 12 publications

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Impacts of Renewable Energy on CO2 Emission: Evidence from the Visegrad Group Countries

An Overview of Human-Robot Collaboration in Smart Manufacturing

Contact Info

Product

Resources

About

Impacts of Renewable Energy on CO₂ Emission: Evidence from the Visegrad Group Countries