Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 112 - 125
Published: Jan. 1, 2024
Language: Английский
Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 112 - 125
Published: Jan. 1, 2024
Language: Английский
Sensors, Journal Year: 2023, Volume and Issue: 23(8), P. 4105 - 4105
Published: April 19, 2023
The development of Industry 4.0 (I4.0) and the digitization automation manufacturing processes have created a demand for designing smart warehouses to support processes. Warehousing is one fundamental in supply chain, responsible handling inventory. Efficient execution warehouse operations often determines effectiveness realized goods flows. Therefore, its use exchanging information between partners, especially real-time inventory levels, critical. For this reason, digital solutions quickly found application internal logistics enabled design warehouses, also known as Warehouse 4.0. purpose article present results conducted review publications on operation using concepts A total 249 documents from last 5 years were accepted analysis. Publications searched Web Science database PRISMA method. presents detail research methodology biometric Based results, two-level classification framework was proposed, which includes 10 primary categories 24 subcategories. Each distinguished characterized based analyzed publications. It should be noted that most these studies, authors’ attention primarily focused implementation (1) technological solutions, such IoT, augmented reality, RFID, visual technology, other emerging technologies; (2) autonomous automated vehicles Critical analysis literature allowed us identify current gaps, will subject further by authors.
Language: Английский
Citations
32Social Sciences & Humanities Open, Journal Year: 2024, Volume and Issue: 9, P. 100902 - 100902
Published: Jan. 1, 2024
Education 4.0 uses digital technologies, innovative methodologies, and learning spaces to improve the quality of education. It reflects changes brought about by fourth industrial revolution aims develop skills relevant current future technology scenarios. The transformation education presents challenges opportunities, requires collaborative participation industry, governments, universities, society. This work synthesize concepts 4.0, identify key competencies, approaches, trend topics, how it is being applied in engineering A scoping review was conducted following PRISMA statement. Scopus Web Science databases were used review. Bibliometric tools R Studio VOSviewer software employed summarize bibliometric data analyze results. analysis 528 selected documents revealed a significant growth publications from 2017 September 2023. Nearly half literature originated conference proceedings, 42.6% papers have not yet been cited. Moreover, five research clusters identified select related studying higher education, specifically education: concept, competency-based learning, specific technologies system, learning. use Industry technology, such as Artificial Intelligence, Internet Things, Virtual Labs, combined with active teaching gamification blended has points convergence trending topics within 4.0.
Language: Английский
Citations
14The European Physical Journal Special Topics, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 7, 2025
Language: Английский
Citations
0Sensors, Journal Year: 2023, Volume and Issue: 23(6), P. 3128 - 3128
Published: March 15, 2023
Localization is a crucial skill in mobile robotics because the robot needs to make reasonable navigation decisions complete its mission. Many approaches exist implement localization, but artificial intelligence can be an interesting alternative traditional localization techniques based on model calculations. This work proposes machine learning approach solve problem RobotAtFactory 4.0 competition. The idea obtain relative pose of onboard camera with respect fiducial markers (ArUcos) and then estimate learning. were validated simulation. Several algorithms tested, best results obtained by using Random Forest Regressor, error millimeter scale. proposed solution presents as high analytical for solving scenario, advantage not requiring explicit knowledge exact positions markers, approach.
Language: Английский
Citations
10Journal of Organizations Technology and Entrepreneurship, Journal Year: 2023, Volume and Issue: 1(1), P. 12 - 34
Published: Sept. 30, 2023
In the burgeoning nexus between Industry 4.0 and entrepreneurial ecosystems, a transformative disruptive dynamic has been observed. Defined by integration of digital technologies into traditional sectors, found to alter way in which entrepreneurs conceptualize, function, collaborate. This review elucidates salient outcomes implications such intersections. Paramount among findings are proliferation companies operating within paradigm, emergence hubs centred on collaborative innovation, rising prominence industry-specific ecosystems. Startups have identified as pivotal effecting supply chain transformations, embedding sustainability, fostering talent. For practitioners navigating this terrain, it is imperative champion metamorphosis, forge strategic partnerships, underscore primacy sustainable practices, nurture expertise. Corporate alliances, ecosystem synergies, opportunities global marketplace underscored potent avenues for expansion ingenuity. Furthermore, marked influence resilience adaptability ecosystems discerned. The confluence posited offering an unprecedented juncture both nascent established businesses spur economic progress, tackle pressing challenges, cultivate robust culture innovation entrepreneurship.
Language: Английский
Citations
10Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 114 - 125
Published: Jan. 1, 2024
Language: Английский
Citations
2Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 181 - 194
Published: Jan. 1, 2024
Abstract Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning solution employing Convolutional Neural Networks (CNN) tackle the problem, specifically context of RobotAtFactory 4.0 competition. The proposed approach leverages transfer from pre-trained VGG16 model capitalize on its existing knowledge. To validate effectiveness approach, simulated scenario was employed. experimental results demonstrated an error millimeter scale rapid response times milliseconds. Notably, presented offers several advantages, including consistent size regardless number training images utilized elimination need know absolute positions markers.
Language: Английский
Citations
1Sensors, Journal Year: 2024, Volume and Issue: 24(5), P. 1389 - 1389
Published: Feb. 21, 2024
One of the important issues being explored in Industry 4.0 is collaborative mobile robots. This collaboration requires precise navigation systems, especially indoor systems where GNSS (Global Navigation Satellite System) cannot be used. To enable localization robots, different variations are developed, mainly based on trilateration and triangulation methods. Triangulation distinguished by fact that they allow for determination an object's orientation, which An feature positioning frequency position updates measurements. For most it 10-20 Hz. In our work, we propose a high-speed 50 Hz system method with infrared transmitters receivers. addition, completely static, i.e., has no moving/rotating measurement sensors, makes more resistant to disturbances (caused vibrations, wear tear components, etc.). this paper, describe principle as well its design. Finally, present tests built system, show beacon bearing accuracy Δφ = 0.51°, corresponds ΔR 6.55 cm, update fupdate
Language: Английский
Citations
1Published: Aug. 28, 2024
Embracing Fourth Industrial Revolution(4IR) techniques is a need for long-term sustainability and to do automation in the processes of education sector. Rapid advancement information technology other engineering technologies demand more proactive steps institutes. In post pandemic world, there an increasing changes teaching learning methodologies with support modern digital technologies. So, all institutes have significant step change areas teaching. The impact 4 IR on sectors compared previous generation’s industrial revolution. Keeping track key can be quite challenge as they keep evolving at very fast pace. revolution current technological which major focus cyber physical biological systems such Artificial Intelligence, Robotics, Internet Things, Virtual Reality etc., educators institutions should establish pedagogies aid Industry 4.0 evolve 4.0. it important understand challenges competencies required about implementation 4IR by faculty members students who are currently studying Higher Education Institutes (HEIs). This paper aim systematic review industry its application relate online teaching, pedagogies, enhancement data management HEIs, virtual laboratories etc.
Language: Английский
Citations
1Published: April 26, 2023
The use of machine learning in embedded systems is an interesting topic, especially with the growth popularity Internet Things (IoT). capacity a system, such as robot, to self-localize, fundamental skill for its navigation and decision-making processes. This work focuses on feasibility using Raspberry Pi 4 Model B, solving localization problem images fiducial markers (ArUco markers) context RobotAtFactory 4.0 competition. approaches were validated realistically simulated scenario. Three algorithms tested, all shown be good solution limited amount data. Results also show that when data grows, only Multi-Layer Perception (MLP) feasible application due required training time resulting size model.
Language: Английский
Citations
2