Industry 4.0 data security: A cybersecurity frameworks review

Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: 39, P. 100604 - 100604

Published: March 22, 2024

As manufacturers are adopting data-driven decisions and processes, manufacturing is becoming more vulnerable to digital threats, making data security a major challenge for Industry 4.0. More specifically, manipulation considered serious threat organizations with significant damaging consequences. Adopting cybersecurity framework essential protect against these cyber threats. These frameworks often generic, unopinionated, only provide high-level guidance mitigating risk. Our objective find that offers solid foundation we can customize support our needs addressing This paper aims review identify the most customizable, yet opinionated, option.

Language: Английский

---

Quantum interferometers: Principles and applications

Progress in Quantum Electronics, Journal Year: 2024, Volume and Issue: 96, P. 100519 - 100519

Published: June 15, 2024

Language: Английский

---

Information-integration-based optimal coverage path planning of agricultural unmanned systems formations: From theory to practice

Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: 40, P. 100617 - 100617

Published: April 21, 2024

Language: Английский

---

Industry 4.0

Advances in logistics, operations, and management science book series, Journal Year: 2024, Volume and Issue: unknown, P. 342 - 405

Published: Jan. 19, 2024

The advent of Industry 4.0, characterized by the integration digital technologies into industrial processes, has ushered in a transformative era for manufacturing and beyond. This chapter delves future trends research directions that will shape landscape 4.0 coming years. One prominent trend is continued proliferation internet things (IoT) its convergence with artificial intelligence (AI). As IoT devices become more interconnected intelligent, they enable real-time data analysis, predictive maintenance, adaptive manufacturing, fostering increased efficiency cost-effectiveness across industries. Moreover, rise edge computing set to redefine processing analytics. deployment powerful resources closer source promises reduced latency enhanced decision-making capabilities, particularly critical applications like autonomous remote robotics.

Language: Английский

---

The Sustainability of Corporate ESG Performance: An Empirical Study

Sustainability, Journal Year: 2024, Volume and Issue: 16(6), P. 2377 - 2377

Published: March 13, 2024

A company’s ESG (environmental, social, and government) performance is an indicator of its sustainable development. In practice, enterprises should focus on improving their governance structure level to achieve development long-term value. Based a sample China’s A-share-listed companies from 2014 2022, this paper obtains data the WIND CSMAR databases finally selects 14,757 observed values. With as explained variable Pledge explanatory variable, relationship between major shareholders’ equity pledges explored using regression analysis. The results show that correlation coefficient, β1, corporate pledge ratio shareholders −0.0167, which significantly negative at 1% level, indicating will have impact performance, shows pressure controlling mainly reduces in areas social responsibility (S) (G) does not significant environmental construction (E). Further research under same conditions, compared with state-owned enterprises, behavior private has more performance. This study good attempt examining sustainability

Language: Английский

---

Overview of Startups Developing Artificial Intelligence for the Energy Sector

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(18), P. 8294 - 8294

Published: Sept. 14, 2024

The energy industry is experiencing a major change due to fast progress in artificial intelligence (AI). Startup companies this revolution use AI technologies like Machine Learning (ML), predictive analytics, and optimization algorithms improve efficiency, optimize grid management, incorporate renewable sources. AI-powered solutions allow for more accurate prediction of demand, immediate monitoring, automated decision-making processes, significantly enhancing operational efficiency sustainability. Through promoting effective system, these advancements play vital role the worldwide battle against climate carbon dioxide emissions. Adding AI, quantum computing (QC) shows great potential despite being nascent area. collaboration QC poised transform by offering unmatched computational capabilities. This blend can tackle intricate obstacles power grids battery storage, which traditional computers cannot currently handle. Combining with speeds up innovation, providing advanced that resilience networks. paper discusses latest advancements, possible effects, upcoming paths new leading innovations within industry. Their joint responsibility highlighted advancing sustainable intelligent future, as well tackling crucial environmental issues lessening impact change.

Language: Английский

---

Accelerated boundary integral analysis of energy eigenvalues for confined electron states in quantum semiconductor heterostructures

Engineering Analysis with Boundary Elements, Journal Year: 2024, Volume and Issue: 169, P. 106012 - 106012

Published: Nov. 4, 2024

Language: Английский

---

Quantum Machine Learning: Classifications, Challenges, and Solutions

Journal of Industrial Information Integration, Journal Year: 2024, Volume and Issue: 42, P. 100736 - 100736

Published: Nov. 1, 2024

Language: Английский

---

Visualization of spin-polarized electronic states by imaging-type spin-resolved photoemission microscopy

Science and Technology of Advanced Materials Methods, Journal Year: 2024, Volume and Issue: 4(1)

Published: April 2, 2024

Harnessing electron spin is crucial in developing energy-saving and high-speed devices for the next generation. In this scheme, visualizing spin-polarized electronic states aids designing new materials devices. Spin-resolved photoemission spectroscopy provides information on states. To investigate microscopic devices, spin-resolved requires spatial resolution a sub-micrometer scale. Here we show imaging-type microscopy (iSPEM) with an ultraviolet laser developed at National Institutes Materials Science (NIMS). Our iSPEM achieves of 420 nm, drastically improving by more than order magnitude compared to conventional instruments. Besides, multichannel detector significantly reduces data acquisition time four orders The machine elucidates scale materials, polycrystals, device structure samples, so on, which have yet be target spectroscopy.

Language: Английский

---

Strategic Choices for Energy Enterprise Survival and Development: An Analysis of Market Power, Innovation Strategy, and Sustainable Development of Major Multinational Oil Companies

Published: Jan. 22, 2024

With the economic recession and deterioration of ecological environment becoming more prominent in world, sustainable operation enterprises is facing most difficult choice history. For each responsible enterprise, it crucial to choose market power expansive strategy that can improve realistic viability or technological innovation future development potential. This great significance reduce negative external effects corporate social ensure their development. In this paper, we select data 18 large listed petrochemical companies from 2003 2018 as samples construct a linear regression model for empirical analysis. Meanwhile, put forward practical business management strategies developing countries further research.

Language: Английский

---