ADVANCEMENTS AND CHALLENGES IN AI INTEGRATION FOR TECHNICAL LITERACY: A SYSTEMATIC REVIEW

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(4), С. 1415 - 1430

Опубликована: Апрель 17, 2024

This systematic review explores the advancements and challenges associated with integration of artificial intelligence (AI) in promoting technical literacy. Technical literacy is increasingly important today's digital age, where understanding utilizing technology are essential skills. AI has potential to enhance by providing personalized learning experiences, facilitating hands-on learning, offering innovative tools resources. However, education also presents challenges, such as ensuring equitable access, addressing ethical considerations, overcoming barriers. The examines a range studies literature related for literacy, focusing on key themes tools. It highlights transform tailored experiences that cater individual needs preferences. AI-driven tools, simulations, virtual laboratories, intelligent tutoring systems, have been shown student engagement concepts. Despite benefits, identifies integration, including need teacher training, concerns about data privacy, risk reinforcing existing inequalities. Addressing these requires careful planning, collaboration between educators developers, commitment access educational Overall, this provides insights into current state opportunities approach. By leveraging AI, can prepare students success technology-driven world. Keywords: Advancement, Challenges, Integration, Literacy.

Язык: Английский

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FOSTERING CROSS-DISCIPLINARY COLLABORATION IN OFFSHORE PROJECTS: STRATEGIES AND BEST PRACTICES

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(4), С. 1176 - 1189

Опубликована: Апрель 10, 2024

In the realm of offshore engineering projects, integration diverse professional expertise is essential for successful planning and execution. This paper explores strategies best practices fostering cross-disciplinary collaboration in aiming to enhance project outcomes mitigate risks. The abstract begins by highlighting significance addressing complex challenges inherent endeavors. It delineates various proposed effective collaboration, including establishing clear objectives, creating a collaborative culture, implementing robust communication channels, promoting mutual understanding, encouraging interdisciplinary training. Furthermore, it outlines such as forming cross-functional teams, utilizing integrated management tools, holding regular meetings, embracing diversity. Through analysis case studies examples, this illustrates application these real-world emphasizing key lessons learned. concludes importance projects suggests avenues future research further methods critical field. Keywords: Cross-Disciplinary Collaboration, Offshore Projects, Integrating Diverse Professional Expertise, Planning, Execution, Engineering Projects.

Язык: Английский

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Conceptualizing sustainable offshore operations: integration of renewable energy systems

International Journal of Frontiers in Science and Technology Research, Год журнала: 2024, Номер 6(2), С. 031 - 043

Опубликована: Апрель 13, 2024

This paper conceptualizes sustainable offshore operations through the integration of renewable energy systems, focusing on adoption solar-powered systems for remote applications. Drawing Osayi's experience in this field, proposes frameworks operations, highlighting key considerations and strategies successful implementation. The is essential reducing environmental impact, increasing efficiency, ensuring long-term sustainability. with applications provides valuable insights into challenges opportunities associated integration. proposed encompass several elements. Firstly, a thorough assessment needs resources to determine feasibility potential benefits integrating systems. Secondly, careful planning design are crucial ensure that integrated seamlessly existing taking account factors such as location, demand, system compatibility. Furthermore, highlights importance stakeholder engagement collaboration Effective communication between industry stakeholders, regulators, local communities overcoming barriers implementation projects operations. Overall, drawing By companies can reduce their carbon footprint, improve contribute more future industry.

Язык: Английский

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Emerging underwater survey technologies: A review and future outlook

Open Access Research Journal of Science and Technology, Год журнала: 2024, Номер 10(2), С. 071 - 084

Опубликована: Апрель 12, 2024

Emerging underwater survey technologies are revolutionizing the way we explore and understand world. This review examines latest advancements in equipment, highlighting their operational benefits potential areas for future development. Recent developments have led to significant improvements accuracy, efficiency, data quality. Advanced sonar systems, such as multibeam sidescan sonars, provide high-resolution images of seafloor, allowing detailed mapping features. Autonomous vehicles (AUVs) equipped with sophisticated sensors cameras enable precise collection challenging environments, deep-sea or complex structures. The these vast. They allow faster surveying, reduced costs, improved safety personnel. Additionally, high-quality obtained from surveys can lead better decision-making various industries, including offshore energy, marine research, archaeology. Looking ahead, is promising. There a growing interest developing integrated systems that combine multiple processing capabilities more comprehensive view environments. Artificial intelligence machine learning algorithms also being increasingly utilized analyze large datasets extract valuable insights. However, several challenges remain, need communication battery life autonomous vehicles, enhanced capabilities. Addressing will be crucial continued advancement technologies. In conclusion, offer exciting opportunities enhancing our understanding By leveraging addressing key challenges, unlock new possibilities exploration research.

Язык: Английский

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A comparative review of subsea navigation technologies in offshore engineering projects

International Journal of Frontiers in Engineering and Technology Research, Год журнала: 2024, Номер 6(2), С. 019 - 034

Опубликована: Апрель 13, 2024

Subsea navigation technologies play a critical role in enhancing precision and efficiency offshore engineering projects. This comparative review examines the evolution application of subsea systems, with focus on improving construction surveying. The study evaluates various technologies, including acoustic positioning inertial optical imaging highlighting their capabilities limitations. begins by discussing historical development tracing from early systems to modern integrated solutions. It then explores key components operation principles each technology, providing insights into functionalities suitability for different applications. also challenges advancements navigation, issues related signal interference, accuracy, real-time data processing. discusses how these have been addressed through technological innovations, such as improved sensor advanced fusion algorithms. Furthermore, assesses practical projects, pipeline installation, infrastructure maintenance, underwater analyzes case studies industry practices illustrate effectiveness precision, reducing costs, mitigating risks operations. Overall, this provides comprehensive overview highlights evolution, capabilities, applications emphasizing concludes recommendations future research further improve performance reliability

Язык: Английский

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Artificial intelligence (AI) in renewable energy: A review of predictive maintenance and energy optimization

World Journal of Advanced Research and Reviews, Год журнала: 2024, Номер 21(1), С. 2487 - 2799

Опубликована: Янв. 29, 2024

The integration of Artificial Intelligence (AI) in the renewable energy sector has emerged as a transformative force, enhancing efficiency and sustainability systems. This paper provides comprehensive review application AI two critical aspects relation to predictive maintenance optimization. Predictive maintenance, enabled by AI, revolutionized landscape predicting preventing equipment failures before they occur. Utilizing machine learning algorithms, analyzes vast amounts data from sensors historical performance identify patterns indicative potential faults. proactive approach not only minimizes downtime but also extends lifespan infrastructure, resulting substantial cost savings improved reliability. Furthermore, plays pivotal role optimizing output sources. Through advanced analytics real-time monitoring, algorithms can adapt changing environmental conditions, production resource allocation. ensures maximum yield sources, making them more competitive with traditional delves into specific techniques such deep learning, neural networks, employed for optimization various systems like solar, wind, hydropower. Challenges opportunities associated implementing are discussed, including security, interoperability, need standardized frameworks. synthesis technologies addresses operational challenges contributes global transition towards sustainable clean solutions. serves valuable researchers, practitioners, policymakers seeking insights evolving applications sector. As technology continues advance, synergies between poised shape future paradigm.

Язык: Английский

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Transforming equipment management in oil and gas with AI-Driven predictive maintenance

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(5), С. 1090 - 1112

Опубликована: Май 5, 2024

The oil and gas industry faces significant challenges in managing equipment maintenance due to the complexity criticality of its assets. Traditional approaches are often reactive inefficient, leading costly downtime safety risks. However, emergence artificial intelligence (AI) predictive technologies offers a transformative solution these challenges. This paper explores role AI-driven revolutionizing management sector. leverages machine learning algorithms analyze data predict when is required before breakdown occurs. By monitoring performance real-time, AI can identify potential issues early, allowing operators take proactive actions. approach helps minimize downtime, reduce costs, improve overall reliability safety. implementation requires comprehensive strategy that includes collection, analysis, integration with existing practices. Successful adoption lead benefits for companies, including increased uptime, extended asset lifespan, enhanced operational efficiency. reviews current landscape industry, highlighting limitations traditional practices need more approach. It then examines principles maintenance, showcasing real-world examples successful implementation. Finally, discusses considerations implementing provides recommendations companies looking transform their Keywords: Transforming Equipment; Management; Oil Gas; AI-Driven; Predictive Maintenance.

Язык: Английский

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INTELLIGENT MONITORING SYSTEMS IN MANUFACTURING: CURRENT STATE AND FUTURE PERSPECTIVES

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(3), С. 750 - 759

Опубликована: Март 10, 2024

Intelligent Monitoring Systems (IMS) have emerged as indispensable tools in modern manufacturing, offering real-time insights into production processes, equipment performance, and quality control. This review provides an overview of the current state future prospects IMS manufacturing environments. The involves integration advanced technologies such Internet Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Big Data analytics. These systems collect vast amounts data from sensors, machines, lines, enabling monitoring analysis various parameters. By employing AI ML algorithms, can identify patterns, predict anomalies, optimize leading to increased efficiency, reduced downtime, improved product quality. play a crucial role predictive maintenance, where they anticipate failures before occur, thereby minimizing unplanned downtime maintenance costs. Moreover, facilitate condition-based monitoring, allowing manufacturers monitor health performance machinery schedule activities accordingly, optimizing resource allocation prolonging lifespan. Furthermore, contribute control by continuously processes detecting deviations desired specifications. leveraging AI-driven automatically adjust process parameters maintain standards minimize defects, enhancing overall reliability customer satisfaction. Looking ahead, perspectives are promising, with advancements areas edge computing, robotics, augmented reality poised revolutionize operations further. Edge computing enables processing occur closer source, reducing latency decision-making capabilities. Robotics facilitates autonomous while provide intuitive interfaces for operators interact real-time. represent transformative technology unprecedented levels visibility, control, optimization. As continues evolve, increasingly vital shaping driving productivity, innovation.. Keywords: Monitoring, System, Intelligent, Manufacturing, Review, Perspectives.

Язык: Английский

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Assessing the economic and environmental impacts of renewable energy adoption across different global regions

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(5), С. 1767 - 1793

Опубликована: Май 21, 2024

This study systematically reviews the economic and environmental impacts of renewable energy adoption across different global regions, aiming to elucidate role in achieving sustainable development goals. Employing a methodology based on systematic literature review content analysis, research draws peer-reviewed articles published between 2018 2024, sourced from databases such as Web Science, Scopus, Google Scholar. The inclusion criteria targeted studies focusing benefits, impacts, influence government policies technological innovations adoption. Exclusion were applied ensure relevance academic rigor reviewed. Key findings reveal that significantly contributes job creation, price stabilization, market dynamics, while also offering pathway substantial reductions greenhouse gas emissions pollution. analysis underscores critical international agreements facilitating transition energy, alongside importance overcoming current barriers concludes is pivotal for development, suggesting strategic recommendations enhancing These include implementing supportive policies, fostering innovation, cooperation. Identifying gaps research, highlights need further investigation into long-term socioeconomic effectiveness policy instruments. discourse energy's potential meet demands sustainably equitably. Keywords: Renewable Energy Adoption, Economic Impact, Environmental Government Policies.

Язык: Английский

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The future of Cybersecurity in renewable energy systems: A review, identifying challenges and proposing strategic solutions

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(6), С. 1265 - 1299

Опубликована: Июнь 7, 2024

This study provides a comprehensive examination of cybersecurity within renewable energy systems, highlighting the critical role measures in ensuring sustainability and reliability these systems. With increasing reliance on sources, need for robust frameworks to protect against evolving cyber threats has never been more pressing. Through systematic literature review content analysis, this research identifies prevalent vulnerabilities specific infrastructures, evaluates effectiveness current measures, explores cutting-edge technologies practices field. The methodology encompasses detailed analysis peer-reviewed academic journals, conference proceedings, industry reports, white papers published from 2010 2024. approach facilitates identification gaps proposal strategic solutions address challenges. Key insights reveal significance adopting advanced technologies, such as artificial intelligence machine learning algorithms, enhance threat detection mitigation efforts. concludes with recommendations practitioners policymakers, emphasizing importance proactive posture, collaboration information sharing, investment training, development standards regulations sector. Future directions are suggested further explore innovative assess their implications underscores necessity integrating safeguard future sustainable energy. Keywords: Cybersecurity, Renewable Energy, Cyber Threats, Vulnerabilities, Advanced Cybersecurity Technologies.

Язык: Английский

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