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Journal articles on the topic 'Industrial automation techniques'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Mursa, Bogdan-Eduard-Mădălin, Mátyás Kuti-Kreszács, Cristiana Moroz-Dubenco, and Florentin Bota. "Facilitating Model Training With Automated Techniques." Studia Universitatis Babeș-Bolyai Informatica 68, no. 2 (2023): 53–68. http://dx.doi.org/10.24193/subbi.2023.2.04.

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Automating artificial intelligence (AI) model training has emerged as a significant challenge in the field of automation. The complete pipeline from raw data to model deployment poses the need to define robust processes that ensure the efficiency of the services that expose the models. This paper introduces a generic architecture for automating data preparation, training of models, selection of models, and deployment of models as web services for third-party consumption using Microsoft Azure Machine Learning’s (AzureML) CI/CD tools. We conducted a practical experiment utilizing AzureML pipelin

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Ayadi, Rami, Rasha M. Abd El-Aziz, Ahmed I. Taloba, Hanan Aljuaid, Nadir O. Hamed, and Moaiad A. Khder. "Deep Learning–Based Soft Sensors for Improving the Flexibility for Automation of Industry." Wireless Communications and Mobile Computing 2022 (April 11, 2022): 1–10. http://dx.doi.org/10.1155/2022/5450473.

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Automation in industries offers the benefits of enhancing quality and productivity while minimizing waste and errors, raising safety and adds stability to the production process. Industrial automation offers high profitability, reliability, and safety. It is beneficial to employ machine learning in the field of industrial automation as it helps in monitoring and performing maintenance on industrial machinery. Rational industrial development is closely associated with efforts for automating industrial techniques in all existing ways. Latest improvements in the automation of industrial systems r

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Ciucias, Michał, Waldemar Nowakowski, and Daniel Pietruszczak. "Safety of industrial automation systems." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 24, no. 6 (2019): 50–55. http://dx.doi.org/10.24136/atest.2019.124.

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In order to minimize the risks associated with the automation of industrial processes, it is necessary to unify standards of safety assessment. The aim of this article is the comparative analysis of safe-ty assessment methods of industrial automation systems. Authors presented two techniques of ensuring safety based on risk analysis, i.e. Performance Level (PL) and Safety Integrity Level (SIL) in relation to the applicable standards and regulations.

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Ceng, Saeful Ramdan. "Optimalisasi SDM Melalui Penerapan Pendidikan Otomasi Industri dan Robotika di SMK." Madani: Jurnal Ilmiah Multidisiplin 1, no. 4 (2023): 158–70. https://doi.org/10.5281/zenodo.7951427.

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<em>Industrial</em> <em>Automation engineering education at SMK aims to improve the quality of human resources in the field of technology. This study aims to analyze the process of optimizing human resources through industrial automation and robotics training at SMK. The method used is a survey by distributing questionnaires to students at SMKN 4 Bandung. The results of this study indicate that industrial automation and robotics training in secondary vocational schools plays an important role in the development of quality human resources. Apart from equipping students with high technical skill

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Violeta-Elena Ștefănescu and Gabriel-Marius Dumitru. "Techniques for reconditioning an industrial part." Technium: Romanian Journal of Applied Sciences and Technology 2, no. 3 (2020): 87–92. http://dx.doi.org/10.47577/technium.v2i3.572.

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The paper wants to show that by means of new techniques any piece can be reconditioned, the costs being much reduced. Among the advantages can be recalled: allows the reconditioning of parts that have a lot of workmanship; material economy; low cost; repairs are performed that cannot be done by other procedures; the equipment used for welding is simple, cheap, with great possibility of diversification; welding is easily suitable for machining and automation. 

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Williamson, Sheldon, and K. Vijayakumar. "Artificial intelligence techniques for industrial automation and smart systems." Concurrent Engineering 29, no. 3 (2021): 291–92. http://dx.doi.org/10.1177/1063293x211026275.

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Kotti, Jayasri. "Industrial Automation with Safety Aspects using Machine Learning Techniques." Safety in Extreme Environments 2, no. 2 (2020): 183–88. http://dx.doi.org/10.1007/s42797-020-00020-y.

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Dharne, Deepak Mohan. "Multi Class Multi Output Auto ML Model for Two Axis Precision Gantry." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50075.

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Abstract - The accurate prediction of design parameters in a 2-axis gantry system is crucial for optimizing performance, efficiency, and reliability. A 2-axis pick-and-place gantry is widely used in industrial automation for precise material handling, assembly, and packaging applications. It consists of linear actuators that enable movement along the X and Y axes, ensuring fast and accurate positioning. This study leverages AutoGluon Tabular AutoML, an advanced automated machine learning framework, to enhance predictive modeling for gantry design data. By integrating multiple machine learning

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Devi, Jyothsna. "Advances and Applications in Electrical Industrial Automation: A Comprehensive Review." International Journal of Automation, Artificial Intelligence and Machine Learning 5, no. 1 (2025): 29–36. https://doi.org/10.61797/ijaaiml.v5i1.423.

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Electrical industrial automation has emerged as one of the key driving forces behind the transformation of modern manufacturing processes. Over the past few decades, automation technologies have significantly enhanced productivity, efficiency, and safety in various industries. This paper provides a comprehensive review of the advancements in electrical industrial automation, including the latest technologies, techniques, and systems used in the automation of industrial processes. We explore the role of smart sensors, Programmable Logic Controllers (PLCs), robotics, and communication protocols

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Harding, David, David Bradford, and Gavin Brown. "Transferring Industrial Automation Technology to the Laboratory." JALA: Journal of the Association for Laboratory Automation 7, no. 2 (2002): 84–88. http://dx.doi.org/10.1016/s1535-5535-04-00189-3.

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Over the past few years, there has been much discussion about transferring industrial technology to laboratories. While it is easy to look at the superficial similarities, it is more important to examine the different requirements of different industries. In this way, it is possible to identify the technologies and techniques that can be successfully transferred to the laboratory to improve performance. This paper takes three very different industries — the bakery, High Throughput Screening (HTS) and mobile phone assembly and examines their different requirements. These industries have been se

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Xu, Zheng, and Qingyuan Zhou. "Special Section Industrial Informatics-based Applications and Techniques in Intelligent Automation." Intelligent Automation & Soft Computing 26, no. 5 (2020): 1005–6. http://dx.doi.org/10.32604/iasc.2020.010132.

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Kero, Nikolaus, Andreas Puhm, Thomas Kernen, and Anton Mroczkowski. "Performance and Reliability Aspects of Clock Synchronization Techniques for Industrial Automation." Proceedings of the IEEE 107, no. 6 (2019): 1011–26. http://dx.doi.org/10.1109/jproc.2019.2915972.

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Khattab, Khattab, and Khattab M. Ali Alheeti. "Enhancing DNP3 Security Using CNN Deep Learning Techniques." Journal of Cybersecurity and Information Management 15, no. 2 (2025): 225–32. https://doi.org/10.54216/jcim.150217.

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Industrial Automation and Control Systems (IACS) are necessary for enabling secure information exchange between smart devices; ensuring security in Industrial Control Systems (ICS) is of importance due to the presence of these devices at distant locations and their control over vital plant activities. Intelligent devices and hosts use protocols such as Modbus, DNP3, IEC 60870, IEC 61850, and others. This paper focuses on the analysis and development of techniques for detecting of network traffic within the industrial environment, more specifically anomalies in the application ZZZAlayer in the

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Fanari, Lorenzo, Eneko Iradier, Iñigo Bilbao, Rufino Cabrera, Jon Montalban, and Pablo Angueira. "Comparison between Different Channel Coding Techniques for IEEE 802.11be within Factory Automation Scenarios." Sensors 21, no. 21 (2021): 7209. http://dx.doi.org/10.3390/s21217209.

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This paper presents improvements in the physical layer reliability of the IEEE 802.11be standard. Most wireless system proposals do not fulfill the stringent requirements of Factory Automation use cases. The harsh propagation features of industrial environments usually require time retransmission techniques to guarantee link reliability. At the same time, retransmissions compromise latency. IEEE 802.11be, the upcoming WLAN standard, is being considered for Factory Automation (FA) communications. 802.11be addresses specifically latency and reliability difficulties, typical in the previous 802.1

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A., Krishnamanjaripawar B. Lakshmiprasanna T. Samhitha MD. Asif M. Lavanya. "AUTOMATED ANALYTICAL TECHNIQUES." INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES 05, no. 05 (2018): 4011–16. https://doi.org/10.5281/zenodo.1250451.

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Automation is the performance of operation without human intervention. Automation may involve operations likePreparation of samples, Measurements of responses, Calculation of results. There are different automatic methods we are adopting now a days like chromatographic systems ( GC, HPLC), automatic methods are also used for injecting samples accurately at nanogram and picogram level by using robotic technology. Main objective of automatic methods of analysis is to process large number of samples, determination of several components in the same sample, reduction of human participation, to avoi

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Solvang, Torfinn, Emil Scott Bale, Ole Jacob Broch, Aleksander Handå, and Morten Omholt Alver. "Automation Concepts for Industrial-Scale Production of Seaweed." Frontiers in Marine Science 8 (April 26, 2021): 1–11. https://doi.org/10.3389/fmars.2021.613093.

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In order to industrialize macroalgal cultivation in Norway, new automated methods and solutions for seeding, deployment and harvesting need to be developed. Today's solutions are time and resource demanding, still yielding volumes nationally in the range of 100–200 tons per year in total (not including wild harvest), while the potential is in the megaton range. Standardization of equipment and automation can be one way to upscale production. Here we present results from a design study of a module-based solution for industrial cultivation, with specific solutions for spinning of thin

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Wu, Shan Ze, and Hong Jun Li. "Assembly Production Status and Development Trend of Industrial Electric Detonator." Applied Mechanics and Materials 644-650 (September 2014): 4714–17. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.4714.

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China is a country with a large production of industrial electric detonator, whose annual production capacity has reached 3.7 billion, but its level of production technology is still low especially in industrial electric detonator assembly production and most of processes are by manual operation, leading to its low techniques and poor production conditions. Through in-depth analysis of the current status of the production process of electric detonators£¬this article summed up the bottleneck problem of industrial electric detonator assembly automation, compared the degree of automation of indus

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Francis, Sandra, Pritesh Shah, Abhaya Pal Singh, and Ravi Sekhar. "Recent Advances in Energy-Efficient Fractional-Order PID Control for Industrial PLC-Based Automation: A Review." International Journal of Robotics and Control Systems 5, no. 2 (2025): 1211–37. https://doi.org/10.31763/ijrcs.v5i2.1825.

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Through intelligent control and data-driven decision-making, Industry 4.0 transforms industrial automation by combining the digital, physical, and virtual worlds. The use of advanced control techniques, especially Fractional-Order PID (FOPID) controllers, has drawn a lot of attention due to the rising need for accurate and energy-efficient industrial automation. By examining recent developments in the application of energy-efficient FOPID controllers for Programmable Logic Controller (PLC) based automation systems, this review tries to bridge a gap in the body of literature. The study thorough

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Jyothsna, Devi Dontha. "Cybersecurity Best Practices For Industrial Automation in Smart Data Centers." International Journal on Science and Technology 12, no. 4 (2021): 1–10. https://doi.org/10.5281/zenodo.14752361.

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This paper explores the best practices for cybersecurity in industrial automation systems within smart data centers, focusing on the protection of critical infrastructure and the prevention of cyber threats. As industries increasingly adopt automation technologies, securing industrial control systems and data centers from cyberattacks has become a top priority. This paper identifies common vulnerabilities, assesses the potential impact of security breaches, and proposes practical cybersecurity strategies. It further discusses the role of IoT, AI, and machine learning in enhancing security fram

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Kumar, Lokku Guru, Gangireddy Harinatha Reddy, Payasam Venkata Sai, Sk Irfan, and K. Pushpa Pujitha. "Real Time Remote Monitoring, Control and Reporting Dashboard System to Avoid Industrial Disasters Using Industrial IOT." Advances in Science and Technology 106 (May 2021): 143–49. http://dx.doi.org/10.4028/www.scientific.net/ast.106.143.

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In today’s global scenario, with the evolution of new technologies and robust ideas, the world gets more involved and embed the advancements of wireless communication with information technology. An ongoing Gartner report assesses that, by 2021, there will be 25.1 billion web associated gadgets, developing at a pace of 32% every year. Bounties of automation are minimizing the human assistance, intervention and reduced risk factor in industry. Here Industrial Automation is used to control systems or things such as computers or robots or machines or sensors with the help of Internet protocol and

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Misra, Tripti, Shahina Anwarul, Divya Srivastava, and Xiaochun Cheng. "Automation Techniques for Smart and Sustainable Agriculture and its Challenges." Applied and Computational Engineering 2, no. 1 (2023): 750–59. http://dx.doi.org/10.54254/2755-2721/2/20220673.

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In the contemporary scenario, the world is primarily focused on trends and technology that leads to intelligent and accurate results in every field. Automation of everything has come up as a necessary demand due to this reason. Things are automated wherever possible. Agriculture is also one such field where automation has acquired much popularity. With the advent of the Fourth Industrial Revolution, integration of various tools and technologies like IoT, Deep Learning, cloud, etc., has led to the development of several automated agriculture systems, generally termed as "Smart and Sustainable A

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Salam, Ahmed O. Abdul. "A Generalized Architecture for Academic and Industrial Automation and Control via Internet." International Journal of Automation Technology 8, no. 4 (2014): 598–610. http://dx.doi.org/10.20965/ijat.2014.p0598.

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Automation via the internet has recently received considerable attention. The prime objective of internetbased process automation underlies, amongmany others, the feasibility of remote monitoring and control of a wide range of distributed and collaborative experimental and manufacturing tools and machineries. Such emphasis would adopt the recent software and hardware development technologies. This paper investigates the minimal hardware and software requirements to design and implement a fully functional academic and industrial automation system that can be readily attached to the available in

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Tomal Das. "Productivity optimization techniques using industrial engineering tools: A review." International Journal of Science and Research Archive 12, no. 1 (2024): 375–85. http://dx.doi.org/10.30574/ijsra.2024.12.1.0820.

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This review explores productivity optimization techniques through the lens of industrial engineering tools. Industrial engineering serves as a critical discipline in enhancing efficiency and effectiveness across various industries. The abstract delves into methodologies, such as time and motion studies, Six Sigma, Lean principles, and operations research, which are instrumental in streamlining processes and improving productivity. These tools aid in identifying inefficiencies, eliminating waste, and enhancing overall performance. Through a comprehensive analysis of existing literature and case

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Pankaj, Kumar. "Performance optimization of 5G NR technology for industrial automation." i-manager’s Journal on Wireless Communication Networks 12, no. 1 (2023): 13. http://dx.doi.org/10.26634/jwcn.12.1.19966.

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Communication over the wireless has significantly evolved to the level where it is capable of supporting the essential controlling mechanisms of the high-definition automated industrial process. The Fifth-Generation (5G) mobile networking air-based interface, named New Radio (5GNR), is presently capable of adopting scalable control and subband data transmission for small data packets, which has made it efficiently compatible for the critical controlling application of industrial automation processes. The minimum cycle time is used as a reliable parameter for an indication of the healthy techni

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Rubart, Jessica, Valentin Grimm, and Jonas Potthast. "Augmenting Industrial Control Rooms with Multimodal Collaborative Interaction Techniques." Future Internet 14, no. 8 (2022): 224. http://dx.doi.org/10.3390/fi14080224.

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The German manufacturing industry has been carrying out new developments towards the next industrial revolution, focusing on smart manufacturing environments. Our work emphasizes human-centered control rooms in the context of production plants. Increased automation does not have to come with less human control. Therefore, we report on multimodal collaborative interaction techniques to augment industrial control rooms. In particular, we include mobile workers who use the control room while being in the production hall using tablets or specifically mixed reality glasses. Collaborative annotation

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Hashem, Nicholas, Mitchell Pryor, Derek Haas, and James Hunter. "Design of a Computed Tomography Automation Architecture." Applied Sciences 11, no. 6 (2021): 2858. http://dx.doi.org/10.3390/app11062858.

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This paper presents a literature review on techniques related to the computed tomography procedure that incorporate automation elements in their research investigations or industrial applications. Computed tomography (CT) is a non-destructive testing (NDT) technique in that the imaging and inspection are performed without damaging the sample, allowing for additional or repeated analysis if necessary. The reviewed literature is organized based on the steps associated with a general NDT task in order to define an end-to-end computed tomography automation architecture. The process steps include a

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K, Sumanth, Kakade Prajwal, K. Abhishek, Ashok M. Hulagabali Dr, Kulkarni Abhishek, and Rajendra M. Galagali Dr. "Bar FeedingMechanism Using Automation." International Journal of Innovative Science and Research Technology 7, no. 6 (2022): 313–16. https://doi.org/10.5281/zenodo.6789367.

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In the past few decades. We have seen various automation techniques being introduced in manufacturing field so that the overall productivity of the industry increases. To achieve this we must have to develop or modify the existing system. In today's world of modernization, machines play a vital role in various industries and replaced labor needs. With the increased development in technology, industries are decreasing the manual work dependency. India is very well recognized for manufacturing of leading material handling equipments and industrial machinery. Therefore modernization of new te

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Feldman, Max, Gustavo P. Cainelli, Gustavo Künzel, Ivan Müller, and Carlos E. Pereira. "Open research issues on management of industrial wireless sensor systems applied to process automation." at - Automatisierungstechnik 69, no. 11 (2021): 921–30. http://dx.doi.org/10.1515/auto-2021-0094.

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Abstract Industrial wireless networks are a key technology for the implementation of the Industry 4.0 concepts. Due to its advantages in relation to wired networks, such as flexibility and low cost of installation, these networks are gaining momentum in the recent years. Wireless networks are becoming even more attractive for industrial applications and consequently an increase is expected in the number of wireless devices connected to industrial applications. As a result, efficient network management becomes even more relevant, and consequently new techniques are necessary to cope with new de

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Fanari, Lorenzo, Gil Eneko Iradier, Iñigo Bilbao, et al. "A survey on FEC techniques for industrial wireless communications." IEEE Open Journal of the Industrial Electronics Society 3 (November 4, 2022): 674–99. https://doi.org/10.1109/OJIES.2022.3219607.

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Industry 4.0 aims to digitize industrial processes entirely, and wireless technologies represent one of the enablers for scalable and flexible communications. However, the current standards and proprietary solutions do not meet the industry's tight requirements in fundamental use cases such as factory automation (FA). One of the key research challenges toward replacing wired fieldbuses with wireless links is the design of techniques that enable real-time and deterministic behavior when transmitting short packets. Forward error correction (FEC) techniques are critical to this objective, and cod

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Chugh, Mayank, Jitesh Jassi, Mohd Zaid, and Dr A. K. Madan. "Applications of Flexible Manufacturing Systems in Industry: A Review." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 2890–96. http://dx.doi.org/10.22214/ijraset.2022.41925.

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Abstract: FMS and its adoption is a nuanced cradle technology in India and sees a limited implementation of its innovative technology and concepts. Our world today is a technologically sophisticated world, only characterized as fictional a few years ago. A lot today has transformed smart and technologists are striving to bring home new and innovative devices, homes, factories, and even cities. Scientifically proven is that these advanced technologies and concepts can boost an organization’s overall performance. Many corporations, researchers, and institutions agree that automation and robotic

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Masani, Kausha I., Parita Oza, and Smita Agrawal. "Predictive Maintenance and Monitoring of Industrial Machine using Machine Learning." Scalable Computing: Practice and Experience 20, no. 4 (2019): 663–68. http://dx.doi.org/10.12694/scpe.v20i4.1585.

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Machine learning is one of the break-through technologies of the modern digital world. It's applications are found in various research domain such as medicine, image processing, production and manufacturing, aviation and autonomics and many more. To efﬁciently run a machine, it's maintenance and its monitoring automation system play a key role. The major problem we are targetting is to overcome the lack of an automation system which can give an accuracy rate of the production machine at a given instance of time. Also, the important energy meter parameters required to make power report in an au

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Tari Yvonne Elete, Emmanuella Onyinye Nwulu, Ovie Vincent Erhueh, Oluwaseyi Ayotunde Akano, and Adeoye Taofik Aderamo. "Exploring advanced techniques in process automation and control: A generic framework for oil and gas industry applications." Engineering Science & Technology Journal 5, no. 11 (2024): 3127–59. http://dx.doi.org/10.51594/estj.v5i11.1704.

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This paper explores advanced techniques in process automation and control, offering a generic framework tailored for applications within the oil and gas industry. The framework addresses the growing need for operational efficiency, safety, and sustainability in an industry characterized by complex, high-risk processes. The adoption of cutting-edge technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Industrial Internet of Things (IIoT) has revolutionized process control systems, enabling real-time monitoring, predictive maintenance, and optimization of production asset

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Nirmala N Kamble and Nirmala N Kamble. "Design and Development of IIOT Based Prototype Model by Using Machine Learning Techniques for Workflow Management in Industry 4.0." Journal of Electrical Systems 20, no. 6s (2024): 516–23. http://dx.doi.org/10.52783/jes.2684.

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Manufacturing is undergoing a revolutionary shift known as Industry 4.0 (I4.0), which unifies production and business operations through data-driven End-to-End digital integration. I4.0 goes beyond the digital ecosystem of the Third Industrial Revolution to include autonomous tech-human convergence and real-time data interchange. The Industrial Internet of Things (IIoT) and machine learning are driving breakthroughs in cyber-physical systems, which form the basis of this. In order to advance I4.0, technology and human talents must be balanced. It is essential to upskill the workforce and engag

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van der Laan, T., F. van Dalen, and B. Vermeulen. "Design support for metallic machined ribs using knowledge based engineering techniques." Aeronautical Journal 114, no. 1161 (2010): 681–88. http://dx.doi.org/10.1017/s0001924000004164.

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Abstract In recent years increasingly pressure has been applied on aircraft component suppliers to reduce design lead-time and design cost of aircraft components. To achieve this reduction in lead-time and cost, advanced automation tools that automate part of the engineering process can be used. Knowledge based engineering (KBE) tools are one such automation tool type and automate part of the engineering process based on existing knowledge within a company. In this paper the development process and use of a KBE application to design machined ribs in an industrial setting is discussed. The deve

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Velesaca, Henry O., and Juan A. Holgado-Terriza. "OPC-UA in artificial intelligence: a systematic review of the integration of data mining and NLP in industrial processes." Manufacturing Review 12 (2025): 9. https://doi.org/10.1051/mfreview/2025003.

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This systematic literature review explores the integration of OPC-UA with Data Mining and Natural Language Processing (NLP) techniques within industrial environments. As industrial automation evolves, this integration faces challenges related to intelligence, autonomy, security, privacy, and interoperability—similar. The review evaluates current methodologies and applications aimed at addressing these challenges, particularly in areas like predictive maintenance, anomaly detection, process optimization, and others. Reviewing several primary studies, selected from high-impact scientific databas

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Yamashita, Atsushi, Akio Nakamura, and Makoto Kurumisawa. "Special Issue on Advanced Image Processing Techniques for Robotics and Automation (Part 2)." International Journal of Automation Technology 19, no. 4 (2025): 553. https://doi.org/10.20965/ijat.2025.p0553.

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The demand for sensing in robotics and automation has increased due to the decrease in the labor force. Recent advances in computational performance have advanced the widespread use of image processing technology in various applications. This special issue aims to provide researchers with an opportunity to access the latest research and case studies on advanced image processing, computer vision, and sensing techniques for robotics and automation. The topics of interest in this special issue are as follows: 1) Theory and algorithms: Image processing, computer vision, pattern recognition, object

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Sharma, Rohit. "Enhancing Industrial Automation and Safety Through Real-Time Monitoring and Control Systems." International Journal on Smart & Sustainable Intelligent Computing 1, no. 2 (2024): 1–20. https://doi.org/10.63503/j.ijssic.2024.30.

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Industrial automation has revolutionized the efficiency and safety of manufacturing and processing industries. This paper explores the development of a real-time monitoring and control system aimed at enhancing industrial automation andsafety by integrating advanced sensor networks, data analytics, and automated response protocols. The proposed system utilizes robust sensor fusion techniques to monitor operational parameters continuously, enabling predictive maintenance and immediate response to potential hazards. This paper discusses the system architecture, mathematical modeling of sensor da

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Ronak, Italia. "A Study of MEMS Sensors in Consumer and Industrial Electronics." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 11, no. 5 (2023): 1–12. https://doi.org/10.5281/zenodo.14535713.

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Micro-Electro-Mechanical Systems (MEMS) sensors have revolutionized the consumer and industrial electronics landscape with their compact size, efficiency, and cost-effectiveness. These sensors play a pivotal role in applications ranging from motion detection in smartphones to predictive maintenance in industrial systems. This study explores the principles, fabrication techniques, and diverse applications of MEMS sensors, focusing on their integration challenges and technological advancements. Insights from existing literature highlight the transformative impact of MEMS sensors on healthcare, c

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Yamashita, Atsushi, Akio Nakamura, and Makoto Kurumisawa. "Special Issue on Advanced Image Processing Techniques for Robotics and Automation (Part 1)." International Journal of Automation Technology 19, no. 3 (2025): 177. https://doi.org/10.20965/ijat.2025.p0177.

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The demand for sensing in robotics and automation has increased because of a decrease in the labor force. Recent advances in computational performance have bolstered the widespread use of image processing technology across various applications. This special issue aims to provide researchers with the opportunity to access the latest research and practical case studies on advanced image processing, computer vision, and sensing techniques for robotics and automation. The topics of interest in this special issue are as follows: 1) Theory and algorithms: Image Processing, Computer Vision, Pattern R

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El-Shamouty, Mohamed, Kilian Kleeberger, Arik Lämmle, and Marco Huber. "Simulation-driven machine learning for robotics and automation." tm - Technisches Messen 86, no. 11 (2019): 673–84. http://dx.doi.org/10.1515/teme-2019-0072.

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AbstractMass personalization—a megatrend in industrial manufacturing and production—requires fast adaptations of robotics and automation solutions to continually decreasing lot sizes. In this paper, the challenges of applying robot-based automation in a highly individualized production are highlighted. To face these challenges, a framework is proposed that combines latest machine learning (ML) techniques, like deep learning, with high-end physics simulation environments. ML is used for programming and parameterizing machines for a given production task with minimal human intervention. If the s

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Raposo, Duarte, André Rodrigues, Soraya Sinche, Jorge Sá Silva, and Fernando Boavida. "Industrial IoT Monitoring: Technologies and Architecture Proposal." Sensors 18, no. 10 (2018): 3568. http://dx.doi.org/10.3390/s18103568.

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Dependability and standardization are essential to the adoption of Wireless Sensor Networks (WSN) in industrial applications. Standards such as ZigBee, WirelessHART, ISA100.11a and WIA-PA are, nowadays, at the basis of the main process-automation technologies. However, despite the success of these standards, management of WSNs is still an open topic, which clearly is an obstacle to dependability. Existing diagnostic tools are mostly application- or problem-specific, and do not support standard-based multi-network monitoring. This paper proposes a WSN monitoring architecture for process-automat

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Gunawan, Ali. "Robotic Processes Automation to Improve Business Process Automation: A Systematic Literature Reviews." E3S Web of Conferences 426 (2023): 01009. http://dx.doi.org/10.1051/e3sconf/202342601009.

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Technological developments have been very fast since 2000 until now, and there are many information system applications in all corners of the world. Now, many services to customers or the public are provided by companies, from small to enterprise software, and many institutions already use the platform— digital services to serve customers and society. Industry 4.0 is the fourth industrial revolution since 2010, where technology and accelerated processes have used automation and are accelerating. This technology is Robotic Process Automation (R.P.A) which could automate many organizational busi

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Abbas Khudhair Al-Salmawi, Maytham. "The Impact of Strategic Cost Management Techniques on Reducing Costs and Achieving Competitive Advantage." International Journal of Transformations in Business Management 14, no. 2 (2024): 33–44. http://dx.doi.org/10.37648/ijtbm.v14i02.004.

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The study aimed to demonstrate the importance of using strategic cost management tools in developing and improving production processes in order to achieve competitive advantages for industrial companies, especially given the changes brought about by the new economic environment. Among the most important findings of the study: Strategic cost management in its various Pathways play an important role in providing industrial companies with the information necessary to implement strategic competitive measures, applying strategic cost management techniques, and the spread of the automation phenomen

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Bhutiani, Akshat. "Augmented Reality Enhanced Image Processing Systems for Interactive Worker Training in Industrial Automation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–6. https://doi.org/10.55041/ijsrem18645.

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This paper explores the integration of augmented reality (AR) with image processing systems to enhance interactive worker training in industrial automation environments. The proposed system leverages AR technology to overlay real-time visual information, such as instructional graphics and step-by-step guidance, onto physical workspaces, improving the learning experience for workers. By incorporating advanced image processing techniques, the system ensures precise recognition of industrial tools, components and machinery, facilitating context aware training that adapts to the real-time actions

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Dimas Pastrana, Diego Armando, Nayive Nieves Pimiento, and Carlos Augusto Toledo Bueno. "Economic impact of automation in maintenance processes for the manufacturing industry in Colombia:." Ingeniería Solidaria 18, no. 2 (2022): 1–36. http://dx.doi.org/10.16925/2357-6014.2022.02.05.

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Introduction: Nowadays, diverse manufacturing companies are faced towards the dilemma of whether investing in automation technologies or not, due to the uncertainty when it comes to remuneration in the profitability of the company, on another hand the level of maintenance management at manufacturing companies is insufficient inside the Latin American region.  Methods: For the build-up of this article, literature review was taken into account.  Results: In this bibliographic review the different tools, techniques and processes of automation in processes regarding industr

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Idouglid, Lahcen, Said Tkatek, Khalid Elfayq, and Azidine Guezzaz. "A novel anomaly detection model for the industrial Internet of Things using machine learning techniques." Radioelectronic and Computer Systems 2024, no. 1 (2024): 143–51. http://dx.doi.org/10.32620/reks.2024.1.12.

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In recent decades, the pervasive integration of the Internet of Things (IoT) technologies has revolutionized various sectors, including industry 4.0, telecommunications, cloud computing, and healthcare systems. Industry 4.0 applications, characterized by real-time data exchange, increased reliance on automation, and limited computational resources at the edge, have reshaped global business dynamics, aiming to innovate business models through enhanced automation technologies. However, ensuring security in these environments remains a critical challenge, with real-time data streams introducing v

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Patricia Rose Wilson, Susan Margaret Clark, and Charles Patrick Scott. "Energy Efficiency Optimization In Mechanical Systems: Innovative Approaches In Industrial Applications." International Journal of Industrial Innovation and Mechanical Engineering 1, no. 2 (2024): 28–32. http://dx.doi.org/10.61132/ijiime.v1i2.61.

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Energy efficiency has become a cornerstone in industrial optimization, reducing operational costs and contributing to sustainability. This paper reviews key innovative approaches in mechanical systems used to enhance energy efficiency within industrial applications. It covers advances in system design, smart technologies, automation, and predictive maintenance. By understanding these techniques, industries can make strides toward greener production processes, lower energy costs, and reduced environmental impact.

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Susan Margaret Clark, Patricia Rose Wilson, and Charles Patrick Scott. "Energy Efficiency Optimization in Mechanical Systems: Innovative Approaches in Industrial Applications." International Journal of Mechanical, Electrical and Civil Engineering 1, no. 2 (2024): 42–46. http://dx.doi.org/10.61132/ijmecie.v1i2.76.

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Energy efficiency has become a cornerstone in industrial optimization, reducing operational costs and contributing to sustainability. This paper reviews key innovative approaches in mechanical systems used to enhance energy efficiency within industrial applications. It covers advances in system design, smart technologies, automation, and predictive maintenance. By understanding these techniques, industries can make strides toward greener production processes, lower energy costs, and reduced environmental impact.

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Han, Liang, and Jun Jing Wang. "A Study on Vibration Measuring Technique for Vibratory Feeding System." Advanced Materials Research 765-767 (September 2013): 2185–88. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2185.

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The development of industrial automation has urged the vibratory feeding system to become an efficient automation equipment. With vibration as the operating mode of the vibratory transmission system, the moving mass has a crucial impact on transmission rate and efficiency of the material. Therefore, it is necessary to carry out real-time vibration measurement of the vibratory feeding system and get feedback to the control system, so that the vibratory feeding system works more efficiently. The paper provides two vibration measuring techniques which separately uses the displacement sensor and t

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Al-Mohamad, Jouma Ali. "Anomaly Detection Techniques for Securing Future Cyber-Physical Systems." Multidisciplinary Journal of Engineering Sciences 5-6, no. 2024 (2024): 24–29. https://doi.org/10.5281/zenodo.14582008.

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Cyber-Physical Systems (CPS) are becoming increasingly integrated into various critical sectors, including healthcare, transportation, and industrial automation. As these systems evolve, the need for robust security mechanisms becomes ever more pressing. Anomaly detection has emerged as a crucial technique for identifying malicious activities and potential failures in these systems. This paper explores the key anomaly detection techniques used to secure CPS, emphasizing statistical, machine learning, and deep learning approaches. The review highlights their applications, strengths, challenges,

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