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Journal articles on the topic 'Automated Processes'

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1

Klos, T., K. Somefun, and H. La Poutre. "Automated Interactive Sales Processes." IEEE Intelligent Systems 26, no. 4 (2011): 54–61. http://dx.doi.org/10.1109/mis.2010.34.

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2

Chase, H. A. "Automated affinity separation processes." Journal of Chemical Technology & Biotechnology 36, no. 8 (2007): 351–56. http://dx.doi.org/10.1002/jctb.280360803.

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3

Abajian, Hakob, Venkat Vuppula, Johnson Kwong, et al. "27 Automated IRB compliance and secure data delivery in i2b2." Journal of Clinical and Translational Science 9, s1 (2025): 10. https://doi.org/10.1017/cts.2024.718.

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Objectives/Goals: To address the manual, time-consuming processes of validating IRB compliance and ensuring the secure delivery of i2b2 data, this project automates compliance checks, streamlines Protected Health Information (PHI) access, and provides timely, secure data availability while reducing administrative burdens and non-compliance risks. Methods/Study Population: This project enhances the i2b2 application to automate compliance processes and facilitate secure data delivery through integration with REDCap. By linking i2b2 with the IRB system, the application performs automatic compliance checks for project requests, verifying GCP and HIPAA certifications, only allowing the release of IRB-approved PHI variables, safeguarding against unauthorized data access. Manual signatures confirm non-automated compliance processes. Once verified, the application automatically creates a REDCap project, assigns user access, and securely delivers data, ensuring compliance with HIPAA regulations. Results/Anticipated Results: The automated system successfully streamlined IRB compliance checks and data delivery for i2b2 requests. Validation of certifications like GCP and HIPAA, now occurs automatically, significantly reducing the risk of non-compliance. Personnel access to data is limited to IRB-approved PHI, ensuring data security and adherence to institutional standards. The integration with REDCap has reduced manual processes, cutting data request processing time to approximately 30 minutes. Researchers and administrative staff experienced a notable decrease in administrative burden, with faster, more efficient access to approved data while maintaining full compliance with IRB and HIPAA regulations. Discussion/Significance of Impact: The lessons learned can be adapted by institutions to improve compliance efficiency and reduce administrative overhead. Implementing similar automation of certification checks and data delivery, sites can enhance data security, minimize errors, and ensure faster, compliant access to research data.
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4

Konyukhov, A. G. "Metrological support to automated processes." Measurement Techniques 31, no. 2 (1988): 110–12. http://dx.doi.org/10.1007/bf00864240.

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5

Karhula, Henri, and Mike Nicolai. "Towards Automated Synthesis of Automatic Automated Transmission Designs." International Journal of Automotive Engineering 9, no. 4 (2018): 244–51. http://dx.doi.org/10.20485/jsaeijae.9.4_244.

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6

Morozov, A. O. "Decision-making. Terms and definitions." Mathematical machines and systems 2 (2022): 64–67. http://dx.doi.org/10.34121/1028-9763-2022-2-64-67.

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Decision-making is directly connected with purposeful human activity. All people are engaged in this process on a daily basis both personally and using automatic or automated systems. The paper considers the issues of decision-making technology in automatic and automated systems, identifies the main stages of decision making: data – information – knowledge – decision making – decision implementation. There are defined terms «data», «information», «knowledge», «decision», «implementation» which are used at the stages of decision making and decision implementation in automated and automatic control systems. In the paper, there are provided definitions of automatic and automated systems, robots as a separate class of automatic systems, as well as the next stage of development of robots – self-organizing automatic machines which are independently configured to perform various target functions based on the rules of acquiring knowledge. Some features of large systems such as industry or state are noted. For such systems, it is impossible to get all the necessary data about the processes that take place in them. Therefore, the information obtained as a result of their processing will not provide enough knowledge for decision-making on system management. Missing knowledge can be obtained thanks to the unformalized knowledge of people. The definition of unformalized knowledge is provided as well. The paper forms the principles of building automated and automatic systems using artificial intelligence and describes the sequence of control processes in any automatic or automated control system
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7

Fernández, Susana, Tomás de la Rosa, Fernando Fernández, et al. "Using automated planning for improving data mining processes." Knowledge Engineering Review 28, no. 2 (2013): 157–73. http://dx.doi.org/10.1017/s0269888912000409.

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AbstractThis paper presents a distributed architecture for automating data mining (DM) processes using standard languages. DM is a difficult task that relies on an exploratory and analytic process of processing large quantities of data in order to discover meaningful patterns. The increasing heterogeneity and complexity of available data requires some expert knowledge on how to combine the multiple and alternative DM tasks to process the data. Here, we describe DM tasks in terms of Automated Planning, which allows us to automate the DM knowledge flow construction. The work is based on the use of standards that have been defined in both DM and automated-planning communities. Thus, we use PMML (Predictive Model Markup Language) to describe DM tasks. From the PMML, a problem description in PDDL (Planning Domain Definition Language) can be generated, so any current planning system can be used to generate a plan. This plan is, again, translated to a DM workflow description, Knowledge Flow for Machine Learning format (Knowledge Flow file for the WEKA (Waikato Environment for Knowledge Analysis) tool), so the plan or DM workflow can be executed in WEKA.
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8

Kaiser, Bryan E., Juan A. Saenz, Maike Sonnewald, and Daniel Livescu. "Automated identification of dominant physical processes." Engineering Applications of Artificial Intelligence 116 (November 2022): 105496. http://dx.doi.org/10.1016/j.engappai.2022.105496.

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9

Clerx, Bart. "Fully automated, cost-effective painting processes." IST International Surface Technology 10, no. 3 (2017): 12–13. http://dx.doi.org/10.1007/s35724-017-0058-3.

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10

Żółkoś, Marcin, Marek Krok, Janusz Porzycki, Janusz Świder, and Marek Grabowy. "Grinding processes automated diagnostic test stand." Mechanik 91, no. 8-9 (2018): 747–50. http://dx.doi.org/10.17814/mechanik.2018.8-9.122.

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Presented is the automated measuring test stand based on the modified Haas VF-2YT machining center. That allows conducting experimental research of conventional and assisted with workpiece ultrasonic oscillations grinding processes (UAG). Respective measurement paths and automated measurement data acquisition process during the experimental research was discussed. Particular notice was given to grinding force components measurement system.
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11

Dangoumau, N., A. K. A. Toguyeni, M. Dupas, and E. Craye. "Reconfiguration Processes for Automated Production Systems." IFAC Proceedings Volumes 33, no. 17 (2000): 843–48. http://dx.doi.org/10.1016/s1474-6670(17)39513-7.

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12

van Beest, N. R. T. P., E. Kaldeli, P. Bulanov, J. C. Wortmann, and A. Lazovik. "Automated runtime repair of business processes." Information Systems 39 (January 2014): 45–79. http://dx.doi.org/10.1016/j.is.2013.07.003.

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13

Valiev, R. A., A. Kh Khairullin, and V. G. Shibakov. "Automated design systems for manufacturing processes." Russian Engineering Research 35, no. 9 (2015): 662–65. http://dx.doi.org/10.3103/s1068798x15090221.

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14

Grant, Carroll. "Automated processes for composite aircraft structure." Industrial Robot: An International Journal 33, no. 2 (2006): 117–21. http://dx.doi.org/10.1108/01439910610651428.

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15

Royer, James M. "Controlled and Automated Processes in Reading." Contemporary Psychology: A Journal of Reviews 34, no. 10 (1989): 934–35. http://dx.doi.org/10.1037/030670.

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16

Mayer, Marcel Ph, Barbara Odenthal, Marco Faber, Carsten Winkelholz, and Christopher M. Schlick. "Cognitive Engineering of Automated Assembly Processes." Human Factors and Ergonomics in Manufacturing & Service Industries 24, no. 3 (2012): 348–68. http://dx.doi.org/10.1002/hfm.20390.

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17

Wan, Jie, Suleyman Kocak, and Mark S. Shephard. "Automated adaptive 3D forming simulation processes." Engineering with Computers 21, no. 1 (2005): 47–75. http://dx.doi.org/10.1007/s00366-005-0001-y.

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18

Musazada, O.R. "AUTOMATED CONTROL SYSTEM FOR PRODUCTION PROCESSES." Annali d'Italia 36 (October 24, 2022): 61–63. https://doi.org/10.5281/zenodo.7244323.

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From the past to the present, a lot of research has been done in a society that is constantly in need of innovation. Thus, automated process control systems are the highest stage of complex automation and are designed to provide a significant increase in labor productivity, improve the quality of products, as well as protect the environment. Currently, process automation is widely used in many industries and activities, from manufacturing processes to shopping in stores. Regardless of the size and scope of the organization, almost every company has automated processes. Process automation systems, which can replace human power in any business sector, use important control systems such as robots, computers, and information technology. This ensures increased quality and flexibility in all production processes. This approach can allow full management of operations, data, information and resources through the use of computers and software that reduce the degree of human participation in the process, or completely eliminate it.
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19

Smyk, Denys D., and Nazarii E. Burak. "The role of technology in modern industrial processes: a comparative analysis of automated, automatic and mechanical systems." Informatics. Culture. Technology 1, no. 1 (2024): 69–75. http://dx.doi.org/10.15276/ict.01.2024.09.

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In the modern technological sphere, systems are categorized into various types based on their level of complexity and functional capabilities. The primary types are mechanical, automatic, and automated systems. Each of these types has its unique characteristics and areas of application. Mechanical systems are the simplest of all. They consist primarily of physical components such as gears, levers, and springs, which interact to perform specific tasks. These systems typically lack built-in control or regulation mechanisms, and their operation is based on basic mechanical principles. Examples of mechanical systems include simple clock mechanisms or traditional measuring devices. Automatic systems represent an evolutionary step beyond mechanical systems, as they include elements for automatic control. These may be electrical or electronic components that enable the system to perform certain operations without direct human intervention. For example, automatic doors or thermostats that regulate room temperature are examples of such systems. They can respond to changing conditions and perform tasks based on predefined parameters. Automated systems, in turn, are the most complex and integrated. They combine automatic control with software and advanced management systems, allowing them to adapt to changing environmental conditions and make decisions independently. Automated systems may include elements of artificial intelligence and machine learning, enabling them to perform complex tasks such as data processing or optimizing production processes. Examples include industrial robotic lines or management systems in distribution networks. Thus, the main differences between these systems lie in their level of complexity and functional capabilities: mechanical systems are based on simple physical principles, automatic systems contain elements of automatic control, and automated systems provide a high level of integration and autonomy.
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20

Connelly, Edward M. "Automated Data Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 16 (1994): 1038–42. http://dx.doi.org/10.1177/154193129403801610.

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Automated Data Analysis (ADA) is a powerful, flexible analysis tool for systematically building performance determinants. ADA is designed to assist analysts in assessing the linkage from system processes to outcomes. It allows for or accounts for the varying conditions during performances and permits formation of complex analyses which extract relevant information from multiple variables while ignoring irrelevant data from the data base. In particular, ADA permits: 1. Focus on selected portions of the performance space, 2. Characterization of the system processes and examination of the relationship between system processes and outcomes, 3. Building analysis variables which can be made simple or as complex as necessary as knowledge of the importance of system processes to outcomes is obtained, and 4. Use of powerful prestructured analysis tools.
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21

Sherrill, John T., and Michael J. Salvo. "Automated infrastructures." Communication Design Quarterly 10, no. 2 (2022): 22–31. http://dx.doi.org/10.1145/3507857.3507860.

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As artificial intelligence (AI) automates technical and dialogic processes, technical communicators produce value through articulating complex problems, facilitating new forms of participation, and managing user-generated content via experience architecture. Automated and intelligent agents are least able to grasp the context of experiences, requiring human input/feedback for maximum performance. The examples we trace both prepare communities to embrace AI as part of the available information infrastructure and create an automated infrastructure of intelligent augmented action. Following Star's anthropological investigation of infrastructure, we analyze organizational examples where rhetoric entangles AI, automation, generative design, additive manufacturing, gift labor, and assembly lines.
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22

Matlakhov, Vitaliy, Viktor Khandozhko, and Aleksey Ageenko. "Automating the stand of the level and temperature control system of the tank farms." Automation and modeling in design and management 2023, no. 1 (2023): 4–11. http://dx.doi.org/10.30987/2658-6436-2023-1-4-11.

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The aim of the work is to automate the stand that simulates the technological equipment of oil tank farms, including the hydraulic part and automation tools for controlling and monitoring, using the necessary hardware and software, to study the operation of protection and blocking algorithms, alarms and automatic control in accordance with industry regulations and requirements for microprocessor equipment control systems at hazardous production facilities. The objective is to create a modern level and temperature control system. The research uses the method of system analysis, the theory of automatic control, structural solutions of human-machine systems designed to automate production and intelligent support of control processes and the necessary data processing in organizational, technological and distributed control systems. As a result of the study a block diagram of the stand is developed based on the well-known three-level model of a typical automated process control system for monitoring the level and temperature of the tank farm. The novelty of the work lies in building a model of an automated control system for a tank farm with a distributed structure to study its operation. The findings of the research state that the proposed automated control system of the level and temperature monitoring system stand is a model of a real tank farm and implements all the basic functions associated with automating technological and control operations, which allows studying its work in the laboratory. It fully fits into the terms of designing modern automated process control systems, which makes it a good subject for studying as part of advanced training courses for students of educational institutions in the direction of “Automated control systems for oil pipeline transport”.
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23

Lapshov, Yuriy A., Denis G. Lyamkin, Viktor N. Negoda, and Andrey A. Pertsev. "THE ONTOLOGICAL MODELING IN PLANNING THE STAFFING SUPPORT PERFORMING A CODE REVIEW FOR AUTOMATED SYSTEMS." Автоматизация процессов управления 2, no. 68 (2022): 108–17. http://dx.doi.org/10.35752/1991-2927-2022-2-68-108-117.

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The paper deals with the issues of automating the processes of ontological modeling in order to automate the processes of forming a team of performers of work on code review of automated systems. It is proposed to define the roles and responsibilities of team members based on the integrated automated information and analytical processes that are based on ontological modeling, value engineering, active accumulation and use of design experience, a role-based approach to personnel management in combination with an aspect-oriented approach to design the automated systems. Ontological modeling is considered as an incremental process of sequential expansion of the basic ontological model of end-to-end design of automated systems in the context of three target aspects: staffing support of the project, automated code review, and the value engineering. The use of the first two aspects arise from the very content of this process, the use of the latter one is due to the dependence of all works on the budget and the widespread practice of saving on code review. The incremental process used in these aspects is ensured by the inclusion by the aggregation facilities concepts and relations in the basic ontological model.
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24

Adrita, Mumtahina Mahajabin, Alexander Brem, Dominic O’Sullivan, Eoin Allen, and Ken Bruton. "Methodology for Data-Informed Process Improvement to Enable Automated Manufacturing in Current Manual Processes." Applied Sciences 11, no. 9 (2021): 3889. http://dx.doi.org/10.3390/app11093889.

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Manufacturing industries are constantly identifying ways to automate machinery and processes to reduce waste and increase profits. Machines that were previously handled manually in non-standardized manners can now be automated. Converting non-digital records to digital formats is called digitization. Data that are analyzed or entered manually are subject to human error. Digitization can remove human error, when dealing with data, via automatic extraction and data conversion. This paper presents methodology to identify automation opportunities and eliminate manual processes via digitized data analyses. The method uses a hybrid combination of Lean Six Sigma (LSS), CRISP-DM framework, and “pre-automation” sequence, which address the gaps in each individual methodology and enable the identification and analysis of processes for optimization, in terms of automation. The results from the use case validates the novel methodology, reducing the implant manufacturing process cycle time by 3.76%, with a 4.48% increase in product output per day, as a result of identification and removal of manual steps based on capability studies. This work can guide manufacturing industries in automating manual production processes using data digitization.
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Akhmetova, Zhanar, Peter Popov, Ayan Asaubaev, and Almas Baisultan. "ORGANIZATION AND AUTOMATION OF INCIDENT INVESTIGATION AND RESPONSE PROCESSES USING SIEM." Вестник Алматинского университета энергетики и связи 4, no. 63 (2023): 46–66. http://dx.doi.org/10.51775/2790-0886_2023_63_4_46.

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This article discussed how to organize and automate incident investigation and response processes using SIEM systems. These days, security operations centers (SOCs) face numerous challenges and problems that can negatively impact their ability to detect, investigate, and respond to security incidents. Some of the major challenges include the increasing volume and complexity of security alerts, the shortage of qualified cybersecurity professionals, the use of disparate security tools and systems, and the need to comply with various regulatory frameworks. In this research, the authors developed detection rules that address the needs for accuracy and specificity to avoid false positives that can lead to unnecessary alerts and undermine the effectiveness of automated response systems. The proposed detection rules have been thoroughly tested on real security incidents to ensure their reliability and effectiveness. The authors of this study, in their work, proposed playbook development methods and SIEM correlation rules, and developed detection rules that enable automatic incident response, thereby facilitating the work of SOC analysts.
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26

Sobolevsky, V. A., and K. A. Laishev. "Automatic animal monitoring systems based on AutoML technologies." Legal regulation in veterinary medicine, no. 3 (October 19, 2024): 114–16. http://dx.doi.org/10.52419/issn2782-6252.2024.3.114.

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In contemporary agricultural contexts, the sector is experiencing active processes of automation, underscoring the need for effective tools to develop such automated systems. The utilization of automation tools enhances the efficiency of numerous processes, including those in the domain of animal monitoring. This article examines the application of the AutoML approach as a means for automating the process of generating deep learning models employed in automatic monitoring systems. The VGG19 architecture has been chosen as a testbed for demonstrating the capabilities of the developed technologies. This well-established architecture for deep learning models is designed for object recognition in images.The present study implements a technology for automated structural-parametric synthesis of VGG19 models and the optimization of their hyperparameters. Such an approach allows for the automated creation of models tailored to specific applied problems, even for users lacking specialized knowledge in deep learning.The system delineated in this work is developed on the AutoGenNet software platform, which embodies the No-Code development concept. This concept conceals complex aspects of model creation and training processes from users, significantly lowering the entry barrier for newcomers. Additionally, the AutoGenNet platform incorporates a mechanism for the automatic generation of software wrappers, facilitating efficient interaction with trained models.All aforementioned aspects have contributed to the effective implementation of the AutoML approach for automating the generation and training processes of the VGG19 model. Consequently, the processes associated with solving automatic monitoring tasks reliant on deep learning models have been significantly simplified and expedited.The developed system has been tested on the task of recognizing individual cows. Test results indicated that the system possesses a high degree of scalability and can be adapted for the automated generation of other object recognition models, thereby opening avenues for addressing a diverse array of applied challenges related to the monitoring of various animal species.
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27

Kutsa, Diana. "Building a fully automated serverless deployment pipeline with Aws lambda, terraform, and github actions." American Journal of Engineering and Technology 7, no. 2 (2025): 30–36. https://doi.org/10.37547/tajet/volume07issue02-06.

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The paper discusses the process of building a fully automated pipeline for serverless deployment using AWS Lambda, Terraform and GitHub Actions. These technologies allow developers to create infrastructure without server management, manage it as code, and automate CI/CD processes. The article discusses the basic principles of using AWS Lambda to perform functions in a serverless architecture, Terraform for declarative infrastructure management, and GitHub Actions for automating the deployment process. The configuration steps are described, including creating and configuring IAM roles, connecting via API Gateway, and monitoring using AWS CloudWatch. The main focus is on the automatic scalability and flexibility of such solutions, as well as problems related to debugging and testing. The work highlights the benefits of integrating these tools to improve DevOps processes and accelerate application development.
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28

Daalmans, Jacco. "Constraint Simplification for Data Editing of Numerical Variables." Journal of Official Statistics 34, no. 1 (2018): 27–39. http://dx.doi.org/10.1515/jos-2018-0002.

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Abstract Data editing is the process of checking and correcting data. In practise, these processes are often automated. A large number of constraints needs to be handled in many applications. This article shows that data editing can benefit from automated constraint simplification techniques. Performance can be improved, which broadens the scope of applicability of automatic data editing. Flaws in edit rule formulation may be detected, which improves the quality of automatic edited data.
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29

Monahan, George E., and Timothy L. Smunt. "Optimal Acquisition of Automated Flexible Manufacturing Processes." Operations Research 37, no. 2 (1989): 288–300. http://dx.doi.org/10.1287/opre.37.2.288.

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30

Collins, J., C. Bilot, M. Gini, and B. Mobasher. "Decision processes in agent-based automated contracting." IEEE Internet Computing 5, no. 2 (2001): 61–72. http://dx.doi.org/10.1109/4236.914649.

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31

Gladkov, E. A., A. V. Maloletkov, and R. A. Perkovsky. "Automated system for investigating laser welding processes." Welding International 17, no. 6 (2003): 476–81. http://dx.doi.org/10.1533/wint.2003.3153.

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32

Fritzsch, Ralph B., and Walter J. Berend. "Overhead Allocations In Highly Automated Production Processes." Journal of Applied Business Research (JABR) 6, no. 2 (2011): 41. http://dx.doi.org/10.19030/jabr.v6i2.6303.

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The capital intensive nature of automated production processes has increased the proportion of total production costs which are classified as overhead. The increasing importance of overhead costs makes their treatment a central issue in the determination of product cost. This article examines current methods of changing overhead costs to product and suggests possible improvements in the current process.
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Week, M., and G. Ye. "Smooth Motion Control of Automated Industrial Processes." IFAC Proceedings Volumes 20, no. 5 (1987): 175–80. http://dx.doi.org/10.1016/s1474-6670(17)55314-8.

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34

Kuhn, Howard A., Juan Trasorras, and B. Lynn Ferguson. "Automated Design of Net-Shape Forming Processes." JOM 40, no. 4 (1988): 16–19. http://dx.doi.org/10.1007/bf03259013.

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35

Shaker, Hamid Reza. "Frequency-interval control reconfigurability for automated processes." Natural Hazards 72, no. 2 (2014): 1021–27. http://dx.doi.org/10.1007/s11069-014-1050-6.

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36

Shin, Jinnie, and Mark J. Gierl. "Generating reading comprehension items using automated processes." International Journal of Testing 22, no. 3-4 (2022): 289–311. http://dx.doi.org/10.1080/15305058.2022.2070755.

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37

Khalatova, L. V. "Accuracy estimation for automated computer-measurement processes." Measurement Techniques 28, no. 3 (1985): 209–11. http://dx.doi.org/10.1007/bf00861981.

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38

Schneider, Daniel, Patrick Jordan, Jonathan Dietz, Michael F. Zaeh, and Gunther Reinhart. "Concept for Automated LCA of Manufacturing Processes." Procedia CIRP 116 (2023): 59–64. http://dx.doi.org/10.1016/j.procir.2023.02.011.

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39

Liberman, Y., S. Lukinskikh, and D. Musina. "AIR-COOLED TURNING TOOL FOR AUTOMATED PROCESSES." Scientific heritage, no. 92 (July 7, 2022): 76–82. https://doi.org/10.5281/zenodo.6807019.

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The article deals with the problems of insufficiently automated processes within the framework of the integrated automation of machine-building production, specifically the operations of removal and disposal of waste, in particular metal chips generated during turning. A line of cutters with internal cooling by compressed air has been developed. Such cutters make it possible to significantly simplify automation of chip removal and disposal operations by eliminating the use of cutting fluids.
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40

Ammann, Lolita, Jorge Martinez-Gil, Michael Mayr, and Georgios C. Chasparis. "Automated Knowledge Graph Learning in Industrial Processes." Procedia Computer Science 253 (2025): 2428–37. https://doi.org/10.1016/j.procs.2025.01.303.

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41

Akhmetova, A. M., A. S. Shayakhmetova, and A. B. Zakirova. "Improvement of the automated control system of the oil pumping station." BULLETIN of L.N. Gumilyov Eurasian National University. Technical Science and Technology Series 138, no. 1 (2022): 15–22. http://dx.doi.org/10.32523/2616-7263-2022-138-1-15-22.

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Automation of technological processes is one of the main factors in increasing productivity and improving working conditions. All existing and under construction industrial facilities are equipped with automation tools to one degree or another. Creating an effective automated process control system is quite a difficult task. The main ways to increase the efficiency of enterprises are optimization and modernization of production, reduction of production and technological losses of energy carriers, increasing the reliability and speed of obtaining information necessary for making managerial decisions. The automated system of the oil pumping station is designed to automate the operation of subsystems in real time at various operating modes, including control of technological processes of oil pumping and start and stop. The work provides for the improvement of the automated control system of the oil pumping station.
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42

Díaz-Choque, Martín, Vidalina Chaccara-Contreras, Giorgio Aquije-Cárdenas, et al. "Supervision, control, and data acquisition system of a heat exchanger." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 1 (2022): 155. http://dx.doi.org/10.11591/ijeecs.v28.i1.pp155-164.

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<span>Today, when industry 4.0 is already being talked about, and its advantages at the organizational level, there are still industrial processes that show a lack of automatic regulation mechanisms, which means that an optimal operating process is not guaranteed, nor that monitoring and supervision capacity. In this sense, the purpose of the article is to demonstrate the feasibility of the integration between the programmable logic controller and the Arduino nanocontrollers, this as an alternative to automate a concentric tube heat exchanger, for monitoring and data acquisition through a supervision, control and data acquisition system. The integration is shown through the design and implementation of a temperature transducer made up of a MAX6675 converter module and an Arduino Nano controller, which is amplified through its pulse width modulation (PWM) interface and the integrated TL081CP and coupled to the analog inputs of the automaton. As a result of the experimental tests, it was possible to determine that the flow rate of the automated system is directly proportional to the drop or difference in temperature in the hot fluid and inversely proportional to the increase in temperature in the cold fluid, verifying the effectiveness of the automated heat exchanger.</span>
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MIKHALEVSKYI, V., G. MIKHALEVSKA, and О. SHOKHANOV. "FEATURES OF THE SYSTEM OF AUTOMATION OF PROCESSES OF CONSTRUCTION OF HYBRID INFRASTRUCTURE WITH TRANSFER OF ALL CONFIGURATION DATA." Computer Systems and Information Technologies 1, no. 1 (2020): 68–74. http://dx.doi.org/10.31891/csit-2020-1-9.

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The main features of the automated system development for synchronizing user data and various aspects of the Exchange Server infrastructure are discussed in the article. The system must make an inventory of the existing environment, make reports, accept data of the enterprise wishes and independently configure the components involved in user migration. The system must also restore all user settings that existed before the migration. It is the description of the automation of the building a hybrid infrastructure processes with the transfer of all configuration data and subsequent automatic configuration of the data migration path in a large enterprise with a distributed infrastructure of data centers. The automation of step-by-step migration is considered, namely: automation of building a hybrid infrastructure based on Microsoft Exchange Server and Office 365. In terms of the method of transfer from the local system to the cloud, "export / import" is used to migrate data policies and configurations that do not change often. User data that is migrated by another system is used but not developed. An automated system designed to automate the transfer of data from the local infrastructure in the Exchange Server environment. The software product has a functionality that automates almost all the work on the analysis of local infrastructure and further configuration of the cloud part, which minimizes the impact of the human factor on the success of projects. There is also a module that defines the wishes of the business on the conditions of migration, which allows you to dynamically detect the path of data migration. All data, collected during infrastructure analysis, as well as system user data, is exported by Microsoft Exchange to external media files as CSV files to be used by other modules and as TXT (HTML if required) for a tabular report that analyzed by staff. This kind of development allows many large companies to avoid the problems connected with the complex process of migrating global local infrastructure parameters to the cloud environment and improves the process of enterprise data analysis with subsequent automatic management of data migration in IT environments with complex network infrastructure. Time for pre-migration work is significantly reduced, as well as the probability of mistakes, made by staff, is reduced.
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Rieck, Steffi, Joachim Heidelbach, and Tobias Stahl. "End-to-End- Prozessautomatisierung/End-to-end process automation." wt Werkstattstechnik online 113, no. 01-02 (2023): 42–47. http://dx.doi.org/10.37544/1436-4980-2023-01-02-46.

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Durchgängige, automatisierte Prozesse können Prozesskosten um 30 bis 40 Prozent senken und Durchlaufzeiten signifikant verkürzen. Der vorliegende Beitrag zeigt anhand eines siebenstufigen Vorgehens, wie automatisierte Prozesse umgesetzt werden. Dazu werden die Stufen (wie Aufnahme, Optimierung, Automatisierung und Monitoring) inklusive möglicher Methoden und Technologien dargestellt. Neben Robotic Process Automation (RPA) kommen hierbei Process Mining und Methoden der künstlichen Intelligenz (KI) zum Einsatz. Continuous, automated processes allow for reducing process costs by 30 to 40 percent and for significantly shortening lead times. A seven-stage approach shows how to put automated processes into practice. This paper presents the individual stages (such as recording, optimization, automation, and monitoring), including possible methods and technologies. To automate processes, Robotic Process Automation (RPA), process mining, and artificial intelligence (AI) technologies are used.
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Ijabika Sardarova, Turkan Masmaliyeva, Ijabika Sardarova, Turkan Masmaliyeva. "DEVELOPMENT OF AN AUTOMATED MANAGEMENT SYSTEM FOR TECHNOLOGICAL PROCESSES." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 49, no. 02 (2025): 335–44. https://doi.org/10.36962/pahtei49022025-335.

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This article analyzes the use of automated control systems for technological processes. The development and implementation of an automated control system for technological processes is one of the main factors increasing the efficiency of modern production areas. The use of this system minimizes human intervention, increases the accuracy and speed of operations, and also contributes to the efficient use of resources. In the process of developing automated control systems, the technological tools and parameter indicators used were considered. These systems are mainly aimed at collecting and analyzing operational data that allows you to control various technological processes, and as a result, make optimal management decisions. In particular, modern automated control systems increase the flexibility and efficiency of technological processes. The structure and mathematical models of the control system were created, the input parameters and their optimal values were determined. It was noted that the application of these systems makes it possible to use resources more efficiently, reduce costs and increase overall productivity. At the same time, the application of such systems in technological processes also ensures the continuity and stability of the process. The development of an automated control system for technological processes is an important step towards ensuring optimized and efficient production in various areas of modern industry. The development of these systems is not only related to the development of technology, but also aims to increase economic efficiency, use resources economically and ensure the sustainability of production. Automated control systems help optimize resources, increase production speed and improve quality. As a result, the article covers important work carried out in the field of the development and application of automated control systems for technological processes. The correct construction and application of these systems, in addition to increasing production efficiency, makes a great contribution to the development of the industry as a whole. Advantages such as optimizing production, increasing quality, reducing operating costs and minimizing human intervention further increase the importance of automated control systems. Keywords: automated control system, technological process, optimization, control model, automation, efficiency, sensors and measuring devices
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Goloskokov, K. P., N. B. Glebov, and A. A. Astapkovich. "Modeling of transportation and technological processes in automated systems." Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova 16, no. 1 (2024): 154–62. http://dx.doi.org/10.21821/2309-5180-2024-16-1-154-162.

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The purpose of the study is to create a problem-oriented model of transport and technological processes in automated systems. To achieve this goal, it is necessary to develop methodological aspects of creating an automated modeling system. The content of the basic principles of problem-oriented modeling in the study of an integrated automated system for managing stocks and transport and technological processes is revealed in the paper. At the same time, methodological aspects of creating automated modeling systems, namely, a conceptual mathematical model for the analysis and standardization of technical and economic indicators are considered. The functioning of logistics systems, namely, system modeling (supply — transport) is also considered. The problems of interaction and relationships, optimization of resource flows, and increasing the efficiency of management decisions making have been solved. It is shown that modeling resource flows involves adjustments through iterative redistribution of interregional and intraregional supplies among suppliers and consumers. Combining product items into one delivery leads to savings in stocks formation costs by reducing the number of orders. To create effective automated control systems, it is necessary to study in detail the primary object — the logistics and technical support system itself. The creation of applied mathematical and software is a promising direction for solving this problem and developing it as an automated modeling system. In this regard, when creating such automated control systems, it is most advisable to use a model-oriented approach, which is based on the principles of system analysis, standardization, classification and modularity. Thus, it is shown that the use of the problem-oriented approach to creating an automated modeling system makes it possible to reduce the labor intensity of its development and implementation, to provide the opportunity to unify algorithms for solving a problem, but also to apply standard methods for processing experimental results.
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Nevlyudov, Igor, Sergiy Novoselov, and Oksana Sychova. "Method of decentralized control of technological processes in intelligent manufacturing." INNOVATIVE TECHNOLOGIES AND SCIENTIFIC SOLUTIONS FOR INDUSTRIES, no. 1(31) (March 31, 2025): 166–79. https://doi.org/10.30837/2522-9818.2025.1.166.

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The technology of digital twins involves the creation of a virtual model of a physical object, process, or system that can be used for modeling, monitoring, testing, and predicting possible future developments based on information from a distributed network of sensors of technological equipment. The implementation of digital twins in the system of automated control of technological processes will allow increasing the efficiency of production processes in intelligent manufacturing. The subject of the research is the architecture of an automated process control system of technology process (ACS TP) in an intelligent factory with the integration of the Industrial Internet of Things technology and a digital twin of the production process. The aim of the research is to improve decentralized control methods for technological processes to enhance the efficiency of production processes in intelligent manufacturing by integrating digital twins into automated control systems. Task: to develop the architecture of a distributed ACS TP in an intelligent factory with the integration of the Industrial Internet of Things technology and a digital twin of the production process. To review the concept of "Digital Twin" in the context of combining this technology with the processes of sustainable development and transformation of the manufacturing industry. To conduct research on the proposed method of integrating a digital twin into the TP management task. In the research, the following methods were used: computer modeling, methods of automatic control theory, methods of analysis, and synthesis of decentralized production systems. The following results were obtained: an architecture of an automated system was developed using a digital twin as a reference model, which describes the ideal development of the control process of the automation object using a digital PID controller. The simulation results showed that the physical model quite accurately reproduces the behavior of the mathematical model of the PID controller with the given parameters. Conclusions: the results of the experimental research showed that the integration of digital twins into automated control systems improves decentralized control methods for technological processes and enhances the efficiency of production processes in intelligent manufacturing. The successful implementation of digital twin technology in intelligent manufacturing, in combination with cloud computing and machine learning, is aimed at achieving sustainable development goals, specifically addressing task 9.5.
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Zinchenko, Serhii, Oleh Tovstokoryi, Oleksandr Sapronov, Kostiantyn Tymofeiev, Andrii Petrovskyi, and Artem Ivanov. "Collision avoidance by constructing and using a passing area in on-board controller." Technology audit and production reserves 1, no. 2(69) (2023): 25–29. http://dx.doi.org/10.15587/2706-5448.2023.274296.

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The object of research is the processes of automatic optimal passing of one's own ship with many dangerous targets, including maneuvering ones, by the method of constructing the area of permissible passing parameters in the on-board computer. According to the European Maritime Safety Agency (EMSA), the largest number of ship accidents in 2014–2019 occurred due to collision (32 %). On modern ships, for observation and passing with targets, ARPA (automatic radar plotting aid) is used, which allows to automate manual operations, and the built-in function «Playing the maneuver» provides the navigator with a convenient graphic interface for solving passing problems. At the same time, ARPA is an automated system that assumes the presence of an operator in the control circuit. The presence of a person in the control circuit is related to the «human factor», which is a prerequisite for the occurrence of various types of accidents, including ship collisions. The most effective means of reducing the influence of the «human factor» on control processes is the introduction of automatic control modules in automated systems. The paper develops a method for the passing module, which allows automatic and optimal passing with many targets, including maneuvering ones. The number of targets for passing is not limited by the method, but is limited only by the capabilities of the ARPA to track the targets. The obtained results are explained by the fact that at each step of the on-board computer, a region of permissible passing parameters is constructed for all purposes, passing parameters that optimize a given optimality criterion are selected from the constructed region, the selected parameters are used as software in the control law. The developed method can be used on ships, subject to integration into the existing automated system of an on-board computer with an open architecture, to increase the capabilities of automatic traffic control, in this case, the possibility of automatic optimal passing with many objectives, including maneuvering.
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Mangeol, Pierre, Bram Prevo, and Erwin J. G. Peterman. "KymographClear and KymographDirect: two tools for the automated quantitative analysis of molecular and cellular dynamics using kymographs." Molecular Biology of the Cell 27, no. 12 (2016): 1948–57. http://dx.doi.org/10.1091/mbc.e15-06-0404.

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Dynamic processes are ubiquitous and essential in living cells. To properly understand these processes, it is imperative to measure them in a time-dependent way and analyze the resulting data quantitatively, preferably with automated tools. Kymographs are single images that represent the motion of dynamic processes and are widely used in live-cell imaging. Although they contain the full range of dynamics, it is not straightforward to extract this quantitative information in a reliable way. Here we present two complementary, publicly available software tools, KymographClear and KymographDirect, that have the power to reveal detailed insight in dynamic processes. KymographClear is a macro toolset for ImageJ to generate kymographs that provides automatic color coding of the different directions of movement. KymographDirect is a stand-alone tool to extract quantitative information from kymographs obtained from a wide range of dynamic processes in an automated way, with high accuracy and reliability. We discuss the concepts behind these software tools, validate them using simulated data, and test them on experimental data. We show that these tools can be used to extract motility parameters from a diverse set of cell-biological experiments in an automated and user-friendly way.
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Oleh, Strelko, Kyrychenko Hanna, Berdnychenko Yulia, and Hurinchuk Svitlana. "Automation of Work Processes at Ukrainian Sorting Stations." International Journal of Engineering & Technology 7, no. 2.23 (2018): 516. http://dx.doi.org/10.14419/ijet.v7i2.23.15346.

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The article analyses the existing options for improving sorting stations operation by implementing informational support and automated systems as well as the development of new ideas to solve this issue. The study of this theme makes it possible to improve all basic indicators of station operation, the directorate and the railway as a whole. This study is a scientific problem to be reasonably considered with a systematic approach. The problem of sorting stations description as a complex facility of automation in the design systems of unified automated control systems has been considered. The analysis of up-to-date information systems and technologies being utilized at sorting stations of Ukraine has been carried out. Functional capabilities to be achieved while integration of the “Automated control system” into the ASFTO UZ – (e) have been achieved. Directions for further development of automated subsystem “Dynamic work of the railway junction” requiring scientific researches in solving complex tasks for providing communication between the station wagon and the departure (transport document) have been determined. It has been determined that the further development of automated subsystem “Dynamic work of the railway junction” was impossible without interaction with the feeder lines model, because all sorting stations perform a large amount of work with the participation of feeder lines.
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