Enhancing Security in CPS Industry 5.0 Using Lightweight MobileNetV3 with Adaptive Optimization Technique DOI Creative Commons
Mohammed A. Aleisa

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 5, 2024

Abstract The Industrial Revolution of technologies such as the Internet Things (IIoT), cloud and Artificial Intelligence (AI) is breaking new frontiers in industrial process automation. Under Industry 5.0 revolution, AI based manufacturing units are more sophisticated Cyber-Physical Systems (CPS) that allow interaction people, objects machines at any given supply chain level. One key advantages this transformation it enables implementing individual-focused adaptable systems. However, interconnection poses various threats, especially phenomenon referred to attacks nature sometimes known distributed denial service (Ddos) attacks. In quest prevent cyber security challenges CPS 5.0, paper proposes a simple effective System on Deep Learning architecture. very first stage concerns data acquisition which entails careful monitoring collection raw from inbuilt sensors for real time performance. case, also processed further order clean data, handle missing values within set fix errors present set, improving it. next step involves Normalization feature extraction takes shape reducing into shapes acceptable by features; flow-based, time-based statistical features well deep using ResNet-101. To models, MobileNetV3 light weight models learning, predicted be utilized edge devices low resources through quantization pruning methods. This going reduce model or data. efficient local search method CTPOA applied adjustment parameters, optimization performance improvement model. Finally, safeguarded use AES encryption Discretionary Access Control policies.

Язык: Английский

Equitable and sustainable well‐being indicators: A study of Italian regional disparities towards sustainable development DOI Creative Commons
Idiano D’Adamo,

Cristina Di Carlo,

Massimo Gastaldi

и другие.

Sustainable Development, Год журнала: 2024, Номер 32(5), С. 5538 - 5549

Опубликована: Апрель 1, 2024

Abstract Sustainable development serves as a guiding principle for societies aiming to progress beyond purely economic measures of well‐being. This paper constructs composite indicator based on the framework equitable and sustainable Well‐being (BES), integrating 105 indicators Italian regions over period 2018–2022. The results show that provinces Bolzano Trento led ranking. Regionally, those in north scored highest 2022 (0.603), followed by central region (0.556) south (0.404). Disaggregated data 12 BES dimensions highlighted specific areas policy intervention. advocate pragmatic, non‐ideological approach sustainability, asserting Italy's competitive advantage (i.e., “Made Italy” program) is not contingent territorial differences, but provinces' relative ability leverage integrate their unique attributes global scale.

Язык: Английский

Процитировано

17
From Global to Glocal: Digital Transformation for Reshoring More Agile, Resilient, and Sustainable Supply Chains DOI Open Access
Andrés Fernández-Miguel, Maria Pia Riccardi, Fernando Enrique García Muiña

и другие.

Sustainability, Год журнала: 2024, Номер 16(3), С. 1196 - 1196

Опубликована: Янв. 31, 2024

The world is currently undergoing an unprecedented period of global disruption, marked by the COVID-19 pandemic, ongoing war in Ukraine, and escalating geopolitical tensions [...]

Язык: Английский

Процитировано

10
Boosting business agility with additive digital molding: An Industry 5.0 approach to sustainable supply chains DOI
Andrés Fernández-Miguel, Fernando Enrique García Muiña,

Mariano Jiménez-Calzado

и другие.

Computers & Industrial Engineering, Год журнала: 2024, Номер 192, С. 110222 - 110222

Опубликована: Май 11, 2024

Язык: Английский

Процитировано

10
Exploring Systemic Sustainability in Manufacturing: Geoanthropology’s Strategic Lens Shaping Industry 6.0 DOI Creative Commons
Andrés Fernández-Miguel, Fernando Enrique García Muiña, Davide Settembre-Blundo

и другие.

Global Journal of Flexible Systems Management, Год журнала: 2024, Номер 25(3), С. 579 - 600

Опубликована: Июнь 20, 2024

Abstract This seminal study explores systemic sustainability within the Industry 5.0 paradigm, using strategic lens of geoanthropology to shape emerging concept 6.0. A transdisciplinary approach is adopted, integrating geoanthropological insights into analysis Italian ceramic district. Seven key factors are considered: resource consumption, production dynamics, innovation, environmental impact, social market and economic impact. Historical events such as changes in industrial policy, slowdowns, COVID-19 pandemic identified significant for sector. contingent tailored unique characteristics district provides an in-depth understanding its challenges opportunities. The incorporation a perspective that allows examination complex interactions between people their environment setting. highlights central role digitalization, government policies driving positive efficiency, Nevertheless, remain, including delicate balance well effective management impacts digitization. To address these challenges, index derived from proposed pragmatic tool measure guide development initiatives results this not only pave way new horizons assessment but also provide valuable managers formulate strategies foster organizational flexibility resilience.

Язык: Английский

Процитировано

9
Sustainability and competitiveness: Economic analysis of a photovoltaic plant with storage in an Italian textile company DOI

Giulia Ciambellini,

Idiano D’Adamo, Massimo Gastaldi

и другие.

Innovation and Green Development, Год журнала: 2025, Номер 4(2), С. 100209 - 100209

Опубликована: Янв. 24, 2025

Язык: Английский

Процитировано

1
Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review DOI Creative Commons
Paolo Visconti,

Giuseppe Rausa,

Carolina Del-Valle-Soto

и другие.

Future Internet, Год журнала: 2024, Номер 16(11), С. 394 - 394

Опубликована: Окт. 26, 2024

The Internet of Things (IoT) has radically changed the industrial world, enabling integration numerous systems and devices into ecosystem. There are many areas manufacturing industry in which IoT contributed, including plants’ remote monitoring control, energy efficiency, more efficient resources management, cost reduction, paving way for smart framework Industry 4.0. This review article provides an up-to-date overview machine learning (ML) algorithms applied to (SM), analyzing four main application fields: security, predictive maintenance, process additive manufacturing. In addition, paper presents a descriptive comparative ML mainly used Furthermore, each discussed topic, deep analysis recent solutions reported scientific literature is introduced, dwelling on architectural aspects, sensing solutions, implemented data strategies, communication tools, performance, other characteristic parameters. comparison highlights strengths weaknesses solution. Finally, presented work outlines features functionalities future IoT-based applications.

Язык: Английский

Процитировано

5
Unscrambling the Future of Smart Manufacturing and Broadcasting Mechanical Fault Diagnosis and Prognosis via IoT in Industry 5.0 DOI
Bhupinder Singh

Advances in logistics, operations, and management science book series, Год журнала: 2025, Номер unknown, С. 303 - 322

Опубликована: Янв. 2, 2025

Industry 5.0 has brought in a more stable and networked industrial environment with the use of Internet Things (IoT). creates work where human-machine interaction is optimized for better performance by combining human cooperation robots intelligent equipment. Industrial things (IIoT) includes range services large settings, such as digital domains that are available company management, real-time production monitoring, machinery condition tracking. aims to achieve best possible balance between productivity efficiency variety industries, including heavy manufacturing, oil gas, warehouse management all which heavily rely on gear. This chapter comprehensively explores various dimensions IoT industry using smart manufacturing fault screening mechanical Diagnosis Prognosis.

Язык: Английский

Процитировано

0
Future of Smart Manufacturing as an Engine of Prosperity DOI
Bhupinder Singh, Christian Kaunert, Kittisak Jermsittiparsert

и другие.

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 303 - 320

Опубликована: Фев. 28, 2025

Expanding Industry 5.0 introduces a more secure and connected landscape using the Internet of Things (IoT). In simple terms, is human-centric stage intelligent systems where workers are supplemented with machines that come in overtake roles like monotonous tasks etc. which improves productivity drastically due to humans doing what they do best: think critically amongst other functions. The Industrial (IIoT) provides numerous types services large-scale environments, including digital business management spaces real-time production monitoring or machinery condition tracking. This chapter an extensive discussion various portions connection IoT deep dive into smart manufacturing for fault detection mechanical diagnosis prognosis.

Язык: Английский

Процитировано

0
Public Administration 5.0 in Super Smart Society DOI
Bhupinder Singh, Anjali Raghav, Kittisak Jermsittiparsert

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 187 - 200

Опубликована: Фев. 28, 2025

Public Administration 5.0 represents a paradigm shift in governance where cutting-edge technologies like artificial intelligence (AI), Internet of Things (IoT), and blockchain are harnessed to develop efficient, citizen-centric, sustainable systems. Informed by Society principles, this new vision stands out for its emphasis on balancing technology with human-centric principles produce inclusivity, equity, well-being. These involve digital transformation, ethical AI deployment, participatory decision-making, equitable access technology. It also emphasizes the need viability building, public-private partnerships, international cooperation overcome challenges infrastructure gaps, divides, dilemmas. This chapter transformational capacity tackling wicked problems realizing Sustainable Development Goals (SDGs) providing clear implementation pathway. The Chapter ends insights directions research leading toward vision.

Язык: Английский

Процитировано

0
Leadership and Management in the Public Sector via E-Government and E-Governance in Public Administration Reform DOI
Bhupinder Singh,

Santosh Kumar,

Kittisak Jermsittiparsert

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 253 - 268

Опубликована: Фев. 28, 2025

The integration of e-government and is recognized as a transformative tool public administration reform in the digital era. These methods utilize technology such artificial intelligence, blockchain, big data to increase transparency, accountability, inclusivity governance process. role leadership managerial approaches needed for successful implementation e-governance have been focus this chapter changed dynamics. Data also elaborates on these by pointing out that administrative simplification, citizen participation, sustainability are some main objectives. ecosystem transformations bring challenges like technological gaps, cybersecurity risks, change resistance, divide. identifies innovative strategies policy recommendations remove barriers. Also, highlights importance adaptive collaborative turning vision government into reality.

Язык: Английский

Процитировано

0