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Journal articles on the topic 'Industry automation'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 April 2022

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1

Farrell, Bradley. "The role of the human in an age of automation." APPEA Journal 58, no. 2 (2018): 545. http://dx.doi.org/10.1071/aj17188.

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The liquefied natural gas (LNG) industry in Australia has a very large installed asset base that is highly automated. This paper explores established, emerging and experimental automations that could materially impact human work in existing LNG facilities. The focus is on automations that assist with physical interventions on the built asset. Riley’s method for assessing the level of automation is used on current and emerging automations in the industry. Use cases demonstrate that as automation increases, the primary focus of the human becomes one of system design, monitoring and intervention. The changing role of the human in this age of automaton has important implications for the development of human work skills for the future: with increasing automation, the nature of work will change. In the future (1) field workers need to supervise and maintain robots, (2) functional specialists need to define and debug robot instruction sets, and (3) system designers need to master the opportunities and challenges in an exciting new field: the robot-human-interface.

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2

Bühler, Ch, A. El Mhamedi, J. J. Rowland, A. J. Wells, and P. Albertos. "Industry Automation." IFAC Proceedings Volumes 23, no. 3 (September 1990): 5–8. http://dx.doi.org/10.1016/s1474-6670(17)52526-4.

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3

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 resulted in decrease in cost of energy consumption and hardware. The proposed system is dealt with deep learning–based soft sensors for automation of industrial processes. The eminent benefits of soft sensors are versatility, flexibility, and low cost. With deep learning, many number of features could be processed. Thus, deep learning–based soft sensor encapsulates the above benefits. Soft sensors offer another way for the measurement of process variables, which are measured offline. Deep learning techniques are famous in the design of soft sensors for tough nonlinear systems due to the robustness and accuracy. The work depicted here designs a soft sensor based on deep learning algorithm for automation of industry. In the proposed system, a soft sensor contemplated on deep learning such as the deep neural network (DNN) is presented. The application of deep learning–based soft sensors in the automation of some industrial processes is also discussed here. The proposed system is tested on automatic control on solar power plants and in the measurement of reactive energy in industries. It was found that the proposed system yielded better results with its application in the automated industrial processes.

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4

Bement, James. "Automation Will Drive Industry Revolution." Journal of Petroleum Technology 63, no. 11 (November 1, 2011): 18–20. http://dx.doi.org/10.2118/1111-0018-jpt.

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5

Tomovic, Aleksandar. "Industry Automation: Processing Dimensional Stone." IFAC Proceedings Volumes 30, no. 6 (May 1997): 1233–38. http://dx.doi.org/10.1016/s1474-6670(17)43530-0.

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6

Bansal, Pradeep. "Automation in the building industry." Science and Technology for the Built Environment 24, no. 1 (October 31, 2017): 1–2. http://dx.doi.org/10.1080/23744731.2017.1399651.

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7

Manser, Peter. "Automation in the plastics industry." Industrial Robot: An International Journal 28, no. 2 (April 2001): 119–25. http://dx.doi.org/10.1108/01439910110694813.

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8

KIRK, L. A. "Automation in the Paper Industry." Journal of the Society of Dyers and Colourists 84, no. 2 (October 22, 2008): 82–87. http://dx.doi.org/10.1111/j.1478-4408.1968.tb02800.x.

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9

Wittenberg, Gunter. "Automation in the Footwear Industry." Assembly Automation 13, no. 3 (March 1993): 14–17. http://dx.doi.org/10.1108/eb004395.

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10

Reinschmidt, Kenneth F. "Automation in the construction industry." Engineering with Computers 3, no. 1 (March 1987): 1–12. http://dx.doi.org/10.1007/bf01198144.

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11

M, Dumitrescu. "Marine Industry Automation Systems Simulation." Scientific Bulletin of Naval Academy XXII, no. 2 (December 15, 2019): 8–13. http://dx.doi.org/10.21279/1454-864x-19-i2-001.

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In a competitive economy, regarding competition between companies that have the same field of activity, the growth of productivity, the fast solving of malfunctions, the quality of services, all of these are very important factors. To stand up in front of these challenges, many companies appeal to high technology, although expensive, which can lead to a spectacular growth of work efficiency, in the same time improving quality of services. This paper describes the interaction between PLC, SCADA and the software PICS Pro for the dredging system of a ship and the realization of a graphic interface which simulates the behavior of the real system.

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12

Yang, Lin Lin, Xiu Ying Tang, Jie Shi, Wang Yun Ning, and Qiong Wang. "Status and Development Trends of Pu'Er Tea Industrial Mechanization and Automation." Advanced Materials Research 756-759 (September 2013): 4681–84. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.4681.

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The general trend of tea technology development is tea industrial whole process automation. Pu'er tea with unique processing technology, its equipment with other tea varieties are very different. This paper summarizes the Pu'er tea industry mechanization and automation status, analysis of the tea industry automation process problems, proposed solutions and pointed out the development trend of tea industry automation.

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13

Handa, Priyanka, and Bhupinder Singh. "Electronic sensors and biosensor used for automation in the food industry." INTERNATIONAL JOURNAL OF AGRICULTURAL ENGINEERING 13, no. 2 (October 15, 2020): 276–82. http://dx.doi.org/10.15740/has/ijae/13.2/276-282.

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The current health pandemic and crisis has added a mountain of challenges across the food and beverage industry, as consumer buying patterns are changing and both production of goods and other business operations have been disrupted. Human touch should be minimized to reduce such kind of infections. So automation of food industry should be increased. The food industry has traditionally lagged behind other industries in adopting new technology, and plant automation is no exception. However, rapid advances in computer technology and heightened expectations of consumers and regulatory agencies for improved food quality and safety have forced the food industry to consider automation of most manufacturing processes. Though the food industry presents many unique challenges to complete automation, the industry has been successful in putting many automatic processes into place. Sensors and controllers are electronic devices and are the main backbone for the automation of food industry. In this paper some important electronic sensors and biosensors used for food automation are described.

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14

Mikhailov, V. G. "APPLICATION OF MICROPROCESSOR SYSTEMS IN AUTOMOTIVE INDUSTRY." «System analysis and applied information science», no. 4 (February 8, 2018): 27–37. http://dx.doi.org/10.21122/2309-4923-2017-4-27-37.

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Questions of application of microprocessor systems for their automation are considered an automation condition on existing designs of truck. It is noticed that now the majority of truck exhausted in the CIS are automated only partially. By automation are captured: control, preliminary treatment of a condition of systems and the information on them; control of start, partially control by power-plant work; control of sprinkling fuel; control of power supply; control of brakes, antiblocking systems, airbags; climate control maintenance; illumination.Scopes of microprocessor systems in cars and microcontrollers used for this purpose taking into account that now it is required to expand areas of automation of systems of cars considerably are considered. The analysis of systems and the functions which are subject to automation for truck and special cars is carried, questions of application of microprocessor systems for reception of experimental data on roads (microprofile and longitudinal cross-section) and their use at car modelling, and also maintenance of road safety: distance maintenance between cars, control of blind zones; an exception засыпанияthe driver during movement, reduction of harmful influence from noise and vibrations.It is offered complexing realised functions and systems of their control. The short description and a substantiation of expediency of application of means of automation on the basis of the cheap microprocessor modules Arduino is given, allowing considerably to reduce quantity of used microcontrollers. Block diagrammes of realisation of problems of traction dynamics in package MatLab/Simulink, transformations and horizonting of truck and special cars by means of MC Arduino are resulted. Recommendations to introduction of systems of automation for truck and special cars are made.

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15

Kovacs, Oliver. "Inclusive Industry 4.0 in Europe—Japanese Lessons on Socially Responsible Industry 4.0." Social Sciences 11, no. 1 (January 17, 2022): 29. http://dx.doi.org/10.3390/socsci11010029.

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This contribution addresses the puzzle of whether the anti-inclusive character of Industry 4.0 development can be tailored toward a socially more responsible path (smart automation). In doing so, the paper first underlines the crucial importance of a governance being capable of fostering inclusive growth by deciphering the nexus between flaring populism and non-inclusive growth. It then turns to the case of Japanese digitalization and Industry 4.0 development to show that adding a social innovation-dimension (smart automation) to Industry 4.0 is not impossible in supporting inclusive growth in Europe.

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16

Richards, G. "A toast to automation [concept of automation in wine industry]." Engineering & Technology 5, no. 8 (June 5, 2010): 42–43. http://dx.doi.org/10.1049/et.2010.0809.

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17

Paula, Greg. "Flexible Automation on the Line." Mechanical Engineering 120, no. 04 (April 1, 1998): 70–72. http://dx.doi.org/10.1115/1.1998-apr-5.

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This article discusses developments in flexible automation in the automobile industry. As industry demands growing emphasis on agility, the need for systems with flexibility at scales is becoming critical. Flexible automation is an operational response to this need. Traditional automation systems were extremely limited in scope. Each would do a single task very well over and over again but had little or no ability to adapt to any other task. Although developments in hardware have made automation more flexible, software tends to be the more critical aspect of the system. Much of the flexibility of today’s system comes from the reprogrammability of devices such as tools and material-handling equipment. The area in which flexible automation is most pervasive is the automotive industry. This industry not only has a great need for automation systems but also has the budget to afford such expensive and elaborate systems.

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18

Jamodkar, Mayur Ganesh, and Dipak Prakash Patil. "An Overview: Automation & Robotics Used In a Construction Industry." Journal of Advances and Scholarly Researches in Allied Education 15, no. 2 (April 1, 2018): 495–98. http://dx.doi.org/10.29070/15/56876.

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19

Gandotra, Esha, Suvidha Kohli, Shavaya Gupta, and Rohan Slathia. "IoT based Industry Automation using Arm7." IJARCCE 6, no. 5 (May 30, 2017): 353–56. http://dx.doi.org/10.17148/ijarcce.2017.6566.

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20

Carlsson, Bo, and Staffan Jacobsson. "What Makes The Automation Industry Strategic?∗." Economics of Innovation and New Technology 1, no. 4 (January 1991): 257–69. http://dx.doi.org/10.1080/10438599100000006.

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21

Cheng, Fan-Tien, Hao Tieng, Haw-Ching Yang, Min-Hsiung Hung, Yu-Chuan Lin, Chun-Fan Wei, and Zih-Yan Shieh. "Industry 4.1 for Wheel Machining Automation." IEEE Robotics and Automation Letters 1, no. 1 (January 2016): 332–39. http://dx.doi.org/10.1109/lra.2016.2517208.

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22

Szulewski, Piotr. "Concepts of industrial automation products for Industry 4.0." Mechanik, no. 7 (July 2016): 574–78. http://dx.doi.org/10.17814/mechanik.2016.7.221.

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23

Stefan (Iorga), Ioana, Adrian Constantin Popescu, Cicerone Laurentiu Popa, Tiberiu Gabriel Dobrescu, and Costel Emil Cotet. "Research regarding assembly flow optimization of wiring harness in automotive industry." MATEC Web of Conferences 343 (2021): 02003. http://dx.doi.org/10.1051/matecconf/202134302003.

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Considering the strong need for improvement of security and multimedia systems in the automotive industry, wiring harness production is becoming more and more important. Adapting to the integration of new technologies on the vehicle is a challenge for wiring harnesses manufacturers. Now the production of wiring harnesses is still quite dependent on human resources, the way of distributing the workload on the workstations having a large share in increasing productivity. Components such as terminals, connectors and seals are getting smaller and smaller, making the manual handling more difficult. A solution to this problem could be increasing the automation degree in wiring harness production. The objective of the research topic approached in this article is to identify solutions for optimizing the wiring assembly flow by partially automating the production flow. The concern for the application of automated processes in the production of car wiring is not new, but so far, the wiring manufacturers have been more focused on automating the prefabrication of the elements that compose the harness and not the wiring harness assembly line. From an economic point of view, the automation of the assembly flow would increase productivity by reducing fabrication time and the uncertainty given by the human resource dependence.

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24

Hu, Lian Jun, Xiao Hui Zeng, Hong Song, and Wei Li. "Research on Mechanical Industry through Control Systems of Intelligent Robots Based on ARM." Advanced Materials Research 675 (March 2013): 77–81. http://dx.doi.org/10.4028/www.scientific.net/amr.675.77.

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Mechanical industry has made a great advance in automation with increasing developments in performances of processing devices. A control system of intelligent robot is designed in the paper, which based on microprocessor S3C2410 with the kernel ARM 920T and the real-time embedded μC/OS-II operating system. The design proposed extends functions of intelligent robots and improve its ability to adapt environments. Otherwise, it will do great help in automations of mechanical systems.

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25

Li, Long Gen. "The Research on NC Evolution and Prospects of Textile Machinery in Dong-Guan." Applied Mechanics and Materials 416-417 (September 2013): 743–47. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.743.

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With technical means of continuous improvement and the widespread use of information technology,automatic control technology are constantly generated and development in textile machinery. The larger of the textile machinery manufacturing industry and the wider the range of products produced, the higher the internal automation technology and information technology and more automation products. This paper analyzes the means of automation technology, Dong-guan textile industry machinery used in the automation and control technology and automation control technology trends preliminary summary, and the paper also discusses the technical updates on our inspiration..

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26

Kempf, Stefan, Ronald Veldema, and Michael Philippsen. "Is There Hope for Automatic Parallelization of Legacy Industry Automation Applications?" PARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware 28, no. 1 (October 2011): 80–89. http://dx.doi.org/10.1007/bf03341987.

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27

Ding, Song, Duan Feng Han, and Bo Shi Zhang. "Impact of Automation to Maritime Technology." Advanced Materials Research 756-759 (September 2013): 4394–400. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.4394.

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Due to incredibly advancing technology and reduced manning levels in the maritime industry there is now a cultural shift in the maritime industry toward increased levels of automation in tasks, particularly with regard to navigation systems. But there are two sides to the automation advances. Increasing automation causes the loss of situation awareness, which can significantly affect performance in abnormal, time-critical circumstances. This paper presents an overview of the application of automation in marine system and its impact to the systems performance.

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28

Sharma, Pooja, Vaibhav Jha, Vasudha Arora, and Prateek Jain. "Towards the Prevention of Car Hacking: A Threat to Automation Industry." Indian Journal of Science and Technology 12, no. 41 (November 20, 2019): 1–6. http://dx.doi.org/10.17485/ijst/2019/v12i41/145568.

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29

Szulewski, Piotr. "Industrial automation products in the conception of Industry 4.0." Mechanik, no. 8-9 (September 2016): 926–33. http://dx.doi.org/10.17814/mechanik.2016.8-9.329.

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30

Shinkevich, A. I., N. V. Barsegyan, M. V. Shinkevich, S. S. Ostanina, F. F. Galimulina, and M. E. Nadezhdina. "Reserves for improving the efficiency of petrochemical production on the basis of “Industry 4.0”." E3S Web of Conferences 124 (2019): 04006. http://dx.doi.org/10.1051/e3sconf/201912404006.

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One of the current problems in the industrial complex is the issue of resource saving and energy efficiency, which is confirmed by the relevant government programs, strategies, regulatory documents. The solution of the problem of increasing the efficiency of the organization of production systems requires the definition and development of the necessary mechanisms, in particular, by automating production processes. The article analyses the key trends in the development of the concept of “industry 4.0” in the petrochemical industry. The factors influencing efficiency of the organization of production systems are revealed. The main directions promoting development and improvement of the organization of production are defined. It considers the basic tools of process improvements, process automation, petrochemical plants: work on the system of just-in-time, 5S system of rationalization of the workplace, different information systems, particularly ERP systems, CALS-technologies. Advantages of automation of production processes at the enterprises of petrochemical complex are defined.

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31

Herbert, Meike, Andreas Selmaier, Florian Hefner, and Jörg Franke. "Potenziale zur Produktionsautomatisierung/Systematic approach for identifying automation projects - Potential for production automation." wt Werkstattstechnik online 110, no. 09 (2020): 597–601. http://dx.doi.org/10.37544/1436-4980-2020-09-27.

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Unternehmen der produzierenden Industrie, insbesondere der deutsche Mittelstand, sind bei der digitalen Transformation mit vielen Herausforderungen konfrontiert, beginnend mit der Analyse und Identifikation geeigneter Automatisierungsprojekte. In dem Beitrag wird eine ganzheitliche Vorgehensweise vorgestellt, um Potenziale für eine Automatisierung in Produktion und Logistik zu erkennen und konkrete Projekte zu definieren.   Companies in the manufacturing industry, especially German small and medium-sized businesses, face many challenges in the digital transformation process that begins with analysis and identification of appropriate automation projects. This paper presents an integrated approach to identifying potential for automation in production and logistics and defining concrete projects.

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32

Menon, Sarath, and Satya Shah. "An Overview of Digitalisation in Conventional Supply Chain Management." MATEC Web of Conferences 292 (2019): 01013. http://dx.doi.org/10.1051/matecconf/201929201013.

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Rapidly growing technology and a digitally focused world have opened the door for a new wave of automation to enter the work force in the industry. Industry 4.0 plays a vital role in Supply chain management (SCM) which requires constant research and improvements due to high demand to meet their global competitive markets. As part of achieving this high demands, SCM has been incorporating the latest evolving technologies by digitalizing and automating themselves to increase their financial profits and competitiveness in the market. This paper aims to have a review on Supply Chain Management (SCM) and latest technologies in Industry 4.0 revolution.

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33

Sinay, Juraj, and Zuzana Kotianová. "Automotive Industry in the Context of Industry 4.0 Strategy." TRANSACTIONS of the VŠB – Technical University of Ostrava, Safety Engineering Series 13, no. 2 (September 1, 2018): 61–65. http://dx.doi.org/10.2478/tvsbses-2018-0014.

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Abstract The emergence of cyber-physical systems encourages constant adaptation to the complex requirements of new systems, creating new requirements for businesses that must adapt their activity to change. The automotive industry is the decisive industry and the driving force behind the development of the Slovak economy. Changes that have occurred in the automotive industry are reflected in the high automation of processes, which is reflected in the need to change management, in particular the need for on-line automotive tracking.

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34

Papoutsidakis, Michail, Dimitrios Piromalis, and Georgios Priniotakis. "ADVANCED AUTOMATION IN TEXTILE INDUSTRY PRODUCTION LINES." International Journal of Engineering Applied Sciences and Technology 04, no. 05 (October 1, 2019): 504–7. http://dx.doi.org/10.33564/ijeast.2019.v04i05.073.

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35

Sander, D. "New Automation Trends in the Furniture Industry." IFAC Proceedings Volumes 19, no. 12 (November 1986): 13–17. http://dx.doi.org/10.1016/s1474-6670(17)59580-4.

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36

Koshuniaev, B. I. "Automation of Sorting Processes in Sawmill Industry." IFAC Proceedings Volumes 19, no. 12 (November 1986): 241–44. http://dx.doi.org/10.1016/s1474-6670(17)59623-8.

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37

Damdinsuren, Erdenechimeg. "Automation of Producing Explosives for Mining Industry." Applied Mechanics and Materials 513-517 (February 2014): 4378–81. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.4378.

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Mining industry is growing rapidly during the last few years. It shows that the use of explosives is a crucial part mining industry explosion and drilling costs take about 40% of all mining related expenditure. Cost effective explosion procurement and services will help mining industry to save time and money. This process demands the automation of the production of explosives with the goal to save time and manufacture safe and reliable products. This article provides an overview of creating an automated system design for emulsification by using technology of proportionally mixed liquid.

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38

Rizzo, David. "Turnkey automation comes to the water industry." Journal - American Water Works Association 95, no. 7 (July 2003): 136–39. http://dx.doi.org/10.1002/j.1551-8833.2003.tb10397.x.

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39

Rohrer, R. A. "Evolution of the electronic design automation industry." IEEE Design & Test of Computers 5, no. 6 (December 1988): 8–13. http://dx.doi.org/10.1109/54.9267.

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40

Ghosh, Rajesh, Dieter Kempf, Angela Pufko, Luisa Fernanda Barrios Martinez, Chris M. Davis, and Sundeep Sethi. "Automation Opportunities in Pharmacovigilance: An Industry Survey." Pharmaceutical Medicine 34, no. 1 (February 2020): 7–18. http://dx.doi.org/10.1007/s40290-019-00320-0.

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41

Kolberg, Dennis, and Detlef Zühlke. "Lean Automation enabled by Industry 4.0 Technologies." IFAC-PapersOnLine 48, no. 3 (2015): 1870–75. http://dx.doi.org/10.1016/j.ifacol.2015.06.359.

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Silva Cruz, Marcus Vinícius, Thaise Poerschke Damo, and Leandro Buss Becker. "Round-Trip Engineering for Petrochemical Industry Automation." IFAC-PapersOnLine 53, no. 2 (2020): 11824–29. http://dx.doi.org/10.1016/j.ifacol.2020.12.693.

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43

Silva, Hector I., Tristan Grigoleit, Mary Ann Burress, and Daniel Fitzpatrick. "Measuring the Impact of Console Operator Experience in a Simulated Petrochemical Refining Emergency Event." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 527–31. http://dx.doi.org/10.1177/1541931213601616.

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Critical process industries such as petrochemical refining have actively sought to make their operations safer and more efficient. In doing this, the industry has found success in automating systems. However, increasing levels of automation is known to have some negative effects on the human operator (Kaber & Endsley, 1997). Consequently, operators have had less opportunity to be exposed to and engage in managing emergency events due to reliable automation. The current investigation explores the role that console operator experience has in the management of emergency events and in the maintenance of situation awareness within the petrochemical industry. Incumbent Console Operators completed several trials of a simulated emergency event where prior exposure to the live event, performance, workload, and situation awareness metrics were collected. The results suggest that experience with managing the live event had little effect on the collected metrics. The potential implications of these results are discussed.

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Marzano, Gilberto, and Luis Ochoa Siguencia. "INDUSTRY 4.0:SOCIAL CHALLENGES AND RISKS." ENVIRONMENT. TECHNOLOGIES. RESOURCES. Proceedings of the International Scientific and Practical Conference 2 (June 17, 2021): 100–105. http://dx.doi.org/10.17770/etr2021vol2.6546.

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Industry 4.0 is a term first introduced by the German government during the Hannover Messe fair in 2011 when it launched an initiative to support German industry in tackling future challenges. It refers to the 4th industrial revolution in which disruptive digital technologies, such as the Internet of Things (IoT), Internet of Everything (IoE), robotics, virtual reality (VR), and artificial intelligence (AI), are impacting industrial production.The new industrial paradigms of Industry 4.0 demand a socio-technical evolution of the human role in production systems, in which all working activities of the value chain will be performed with smart approaches.However, the automation of processes can have unpredictable effects.Nowadays, in a smart factory, the role of human operators is often only to control and supervise the automated processes. This new condition of workers brought forth a paradox: malfunctions or irregularities in the automated production process are rare but challenging.This article discusses the challenges and risks that the 4th industrial revolution is bringing to society.It introduces the concept of the Irony of Automation. This propounds that the more reliable an automated system, the less human operators have to do and, consequently, the less attention they pay to the system while it is operating.The authors go on to discuss the human-centered approach to automation, whose purpose is not necessarily to automate previously manual functions but, rather, to enhance user effectiveness and reduce errors.

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45

Baranson, Jack. "Prospects for introducing computer-integrated manufacturing in the USSR – a viewpoint." Robotica 6, no. 1 (January 1988): 71–79. http://dx.doi.org/10.1017/s0263574700003623.

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SUMMARYIntensified automation related to computer integrated manufacturing (CIM) is viewed by Soviet planning authorities as a major means for increased productivity in Soviet industry. But efforts to increase automation are conditioned by the political–economic environment in which industrial production Systems are engineered and managed. The forces driving Soviet automation efforts are examined, and some tentative judgments are made on the proposed prospects for implementing changes aimed at enhancing the potential contribution of CIM to increased productivity in Soviet industry. The article is based on author's chapters in a forthcoming book, Soviet Automation: Perspectives and Prospects, edited by Jack Baranson (Mt. Airy, Md.: Lomond Publications, 1987).

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Kavitha, S., and J. Manikandan. "OverFeat Network Algorithm for Fabric Defect Detection in Textile Industry." Journal of Innovative Image Processing 3, no. 4 (December 18, 2021): 311–21. http://dx.doi.org/10.36548/jiip.2021.4.003.

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Automation of systems emerged since the beginning of 20th century. In the early days, the automation systems were developed with a fixed algorithm to perform some specific task in a repeated manner. Such fixed automation systems are revolutionized in recent days with an artificial intelligence program to take decisions on their own. The motive of the proposed work is to train a textile industry system to automatically detect the defects presence in the generated fabrics. The work utilizes an OverFeat network algorithm for such training process and compares its performances with its earlier version called AlexNet and VGG. The experimental work is conducted with a fabric defect dataset consisting of three class images categorised as horizontal, vertical and hole defects.

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Yi, Lee Yan, Hazirah Ab Latib, Jegatheswaran Ratnasingam, Manohar Mariapan, Lim Choon Liat, Kamaruzaman Othman, Mohd Afthar Amir, and Natkuncaran Jegatheswaran. "Readiness for and adoption of Industry 4.0 among small and medium sized enterprises in the Malaysian furniture industry." BioResources 16, no. 4 (October 27, 2021): 8289–308. http://dx.doi.org/10.15376/biores.16.4.8289-8308.

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The furniture industry is the fastest growing sub-sector in the Malaysian wood-based industry. Although it has grown tremendously over the years, it is characterized by stagnating value-addition. To improve industrial competitiveness, automation and technology application has emerged as a possible solution. A study was conducted to evaluate the influence of company size towards their readiness and adoptability of automation and Industry 4.0. A questionnaire-based survey involving large-, medium-, small-, and micro-sized furniture manufacturers throughout Malaysia was conducted with 160 respondents. The analysis of the results from the survey showed that there was a significant relationship between company size and their readiness for Industry 4.0. The results showed that small- and medium-sized enterprises (SMEs) are more hesitant in adopting technology due to the high cost required and the lack of skilled workers to cope with the new technology, compared to the large sized companies. The factor analysis revealed that the three main groups of the factor affecting decisions towards adopting industry 4.0 are government policy, difficulty in implementation, and expected benefit. This study suggests that providing incentives for the application of automation and technology will be required when the goal is greater uptake of technology among furniture manufacturers.

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Yang, Qi. "Internet of Things and Automation Research." Applied Mechanics and Materials 198-199 (September 2012): 1599–602. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1599.

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The Internet of Things technology has brought the worldwide wave of the information industry, has increasingly become the focus of attention in all areas of the world. In this paper, the concept of Internet of Things, the basic structure, its key technology, simply talking about the linkages between the Internet of Things and Automation as well as the automation industry, and cited a number of related applications of the Internet of Things technology.

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Yang, Li-Ren. "Impacts of automation technology on quality of project deliverables in the Taiwanese construction industry." Canadian Journal of Civil Engineering 36, no. 3 (March 2009): 402–14. http://dx.doi.org/10.1139/l08-072.

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The purpose of this study was to investigate the impacts of automation technology on project deliverables from the perspectives of various stakeholders. To address the primary aim, a survey was conducted to determine correlations between quality of project deliverables and automation adoption at the phase and task levels. This study also explored the links between automation utilization and project deliverables in detail. A second survey was used to identify common characteristics associated with the project deliverable-leveraging tasks. The analyses suggest that the quality of project deliverables is significantly associated with automation usage in the front-end, design, procurement, and construction phases. In addition, degrees of automation used in executing the project deliverable-leveraging tasks may have a significant impact on the correctness and completeness of project deliverables. The results also indicate that information and data intensive, management-related, and work-procedure-related characteristics can positively influence the quality of project deliverables.

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Saravanan, K., and E. Poorna Chandra Prasad. "Open Source Software Test Automation Tools: A Competitive Necessity." Scholedge International Journal of Management & Development ISSN 2394-3378 3, no. 6 (August 15, 2016): 103. http://dx.doi.org/10.19085/journal.sijmd030601.

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<em>Software Testing is one of the critical activities in developing quality software. To enhance test efficiency and to improve repeatability of tests , several testing tools were developed and rolled out by proprietary commercial vendors like HP, IBM, etc., In the past decade, Proprietary software test automation tools dominated the automation market and were extensively adopted. But in recent past, Open Source test automation tools are acknowledged as reliable and are being adopted rapidly by IT companies. When companies started adopting Open source test automation tools, these tools were perceived as Competitive advantage to keep them abreast of technology developments, reduce cost, train testers, test in-house developed applications and so on. But today, we are witnessing Open Source test automation tools evolving as industry standard and have become a competitive necessity in IT Industry. This paper explores on how Open Source Test Automation tools have become a Competitive Necessity.</em>

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