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Journal articles on the topic 'Automation system'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 May 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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Yu, Wen Wei, and Xue Tao Wang. "Plate Production Line Automation Control System Based on Automatic Gauge Control." Applied Mechanics and Materials 214 (November 2012): 674–78. http://dx.doi.org/10.4028/www.scientific.net/amm.214.674.

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The automation control system to plate production line is developed independently. It has been applied for several plants in China and has a good effect. The whole automaton control system is designed as several levels: basic automation system, process automation system and HMI system. The control functions are realized with these levels. With AGC function in plate mill area basic automation system, the plate thickness accuracy can be guaranteed.

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Muttha, Rupesh I., Sanket N. Deshpande, Megha A. Chaudhari, and Prof Nivedita P. Wagh. "PLC Based Poultry Automation System." International Journal of Scientific Research 3, no. 6 (June 1, 2012): 149–52. http://dx.doi.org/10.15373/22778179/june2014/52.

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4

Rajendrakumar, Shiny, V. K. Parvati, and Anandhalakshmy Ram. "Automation of Production Management System." Bonfring International Journal of Software Engineering and Soft Computing 6, special issue (October 31, 2016): 234–38. http://dx.doi.org/10.9756/bijsesc.8285.

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5

Popov, Andrei, Myroslav Momot, and Alina Yelizieva. "CHOOSING THE TEST AUTOMATION SYSTEM ACCORDING TO CUSTOMER REQUIREMENTS." Innovative Technologies and Scientific Solutions for Industries, no. 1 (19) (April 26, 2022): 40–46. http://dx.doi.org/10.30837/itssi.2022.19.040.

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The subject of the research are methods and technologies for automating the process of software product testing. The aim of the work is to optimize the time and costs for performing automated testing of software products. The following tasks were solved: analysis of existing software testing automation systems; formation of system of selection criteria for testing automation systems; development of formalized model of selection process; development of automation system selection algorithm considering customer's requirements; development of UML diagrams for presentation of functional capabilities of developed application; development of application for informational support of selection process. To solve these tasks, we used methods of system analysis, theory of sets and technologies of cross-platform applications development. The following results were obtained: The most popular systems of test automation have been analyzed, their scope and main capabilities have been singled out. Selection criteria are singled out, divided into qualitative and quantitative. Formalized model for choosing test automation systems taking into account their characteristics and customer requirements is proposed. Developed UML diagram shows the functionality of the developed subsystem. The proposed algorithm for determining the re-recommended system of test automation allows us to take into account the vectors of criteria for testing systems. On the basis of the formalized model and algorithm we developed a subsystem that allows us to determine the optimal variant of test automation system on the basis of the introduced selection criteria. Conclusions: informational support for choosing a test automation system for software products based on the developed algorithm takes into account the customer's requirements and the characteristics of the existing systems, which allows us to select the most preferable option out of the possible systems. The main result of the developed subsystem is a recommendation for a user to use an automated testing system, taking into account customer requirements.

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6

KANNO, T. "Laboratory Automation System : Historical Overviews (Laboratory Automation System )." JAPANES JOURNAL OF MEDICAL INSTRUMENTATION 67, no. 12 (December 1, 1997): 571–74. http://dx.doi.org/10.4286/ikakikaigaku.67.12_571.

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7

Costanzo, Don. "AUTOMATED ICS: A FRAMEWORK FOR SUCCESS." International Oil Spill Conference Proceedings 2001, no. 2 (March 1, 2001): 1033–34. http://dx.doi.org/10.7901/2169-3358-2001-2-1033.

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ABSTRACT Over the years, many organizations have attempted to automate the Incident Command System (ICS). These attempts have ranged from computerizing T-cards to a nationwide spill operations system. Over time, these systems have had varying degrees of success. While certain inherent reasons exist for not automating ICS, they are outweighed by the tremendous potential of successful automation. The need to produce documentation, the integration of ICS sections, and the rapid change of information all lend themselves to automation. Successful ICS automation does not start with computerizing ICS forms. The hey to automating ICS is to automate both ICS and response processes. In a response effort, many separate and distinct processes occur daily. The requisitioning of resources, the planning and application of the response organization, cost accounting, and the development of an Incident Action Plan (IAP) occur many times during an incident. This paper describes a framework for automating and integrating these processes. This framework offers organizations a road map for successful ICS automation. The poster presentation includes a software demonstration that illustrates the benefits of integrated automation.

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8

Naing, Ma, and Ni Ni San Hlaing. "Arduino Based Smart Home Automation System." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 276–80. http://dx.doi.org/10.31142/ijtsrd23719.

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9

Khulape, Miss Snehal Arun, Miss Sakshi Rajendra Malage, and Mr Sagar V. Chavan. "Home Automation Android Based GSM System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (October 31, 2018): 774–77. http://dx.doi.org/10.31142/ijtsrd18740.

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10

Denney, Dennis. "Drilling Automation: An Automatic Trajectory-Control System." Journal of Petroleum Technology 63, no. 12 (December 1, 2011): 84–87. http://dx.doi.org/10.2118/1211-0084-jpt.

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11

Shontya, A. I. "Kontar automation system in comparison with Kontur automation system»." Youth Journal of Novorossiysk Branch of Belgorod V. G. Shukhov State Technology University 1, no. 2 (2021): 5–8. http://dx.doi.org/10.51639/2713-0576_2021_1_2_5.

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12

Dahl, Martin, Endre Erős, Kristofer Bengtsson, Martin Fabian, and Petter Falkman. "Sequence Planner: A Framework for Control of Intelligent Automation Systems." Applied Sciences 12, no. 11 (May 27, 2022): 5433. http://dx.doi.org/10.3390/app12115433.

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This paper presents a framework that tackles the challenges met in the development of automation systems featuring collaborative robotics and other machines that have some degree of autonomy. These machines rely on online algorithms for both sensing and acting in order to achieve a very high level of flexibility. To take advantage of these new machines and algorithms, control systems must also be increasingly flexible. In this paper, we present a framework for control of this new class of intelligent automation systems called Sequence Planner (SP), which helps with control of both traditional automation equipment and machines with autonomy. To aid the complex task of developing automation control solutions, SP relies on supporting algorithms for control logic synthesis and online planning. SP has been implemented with plug-in support for the Robot Operating System (ROS) and applied to an industrial demonstrator. We present our findings on how SP performed as a control system for this demonstrator, where we show that it is an adequate approach to implement automation for a highly flexible single station system. As a standardized way of automating such systems is missing, we hope that our contribution will provide a foundation for how to develop intelligent automation systems.

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Luster, Maya S., and Brandon J. Pitts. "Trust in Automation: The Effects of System Certainty on Decision-Making." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (September 2021): 32–36. http://dx.doi.org/10.1177/1071181321651079.

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In the field of Human Factors, the concept of trust in automation can help to explain how and why users interact with particular systems. One way to examine trust is through task performance and/or behavioral observations. Previous work has identified several system-related moderators of trust in automation, such as reliability and complexity. However, the effects of system certainty, i.e., the knowledge that a machine has regarding its own decision-making abilities, on trust remains unclear. The goal of this study was to examine the extent to which system certainty affects perceived trust. Participants performed a partially simulated flight task and decided what action to take in response to targets in the environment detected by the aircraft’s automation. The automation’s certainty levels in recognizing targets were 30%, 50%, and 80%. Overall, participants accepted the system’s recommendation regardless of the certainty level and trust in the system increased as the system’s certainty level increased. Results may help to inform the development of future autonomous systems.

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R, Prof Madhu B., Vaishnavi K. R, and Dushyanth N. Gowda. "IoT Based Home Automation System over Cloud." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 966–68. http://dx.doi.org/10.31142/ijtsrd24005.

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15

Gharehbaghi, Koorosh. "Process Automation in Intelligent Transportation System (ITS)." International Journal of Machine Learning and Computing 8, no. 3 (June 2018): 294–97. http://dx.doi.org/10.18178/ijmlc.2018.8.3.702.

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K, Jothimani, Thangamani S, Kiruthika D, and Arun K. "Residence Automation System Using Internet of Things." Webology 18, no. 05 (October 29, 2021): 1204–11. http://dx.doi.org/10.14704/web/v18si05/web18301.

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Home automation using Internet of Things is full of automation and the human being’s life is getting easier as almost everything is systematic by replacing the conventional/manual systems. Recent days, the internet is the mixed part of every human life to gather the knowledge of technology. Internet of things provides a source the devices to connect, sensed by sensors and controlled by remote across a grid infrastructure. Various kind of sensors are designed to meet the need of Home automation such as flame sensor, gas sensor, touch sensor, soil moisture sensor, Infrared sensor where it is connected with Arduino board and it automatically controls the environment. Infrared Sensor is used to find the movement of objects and is used in home automation for example we can use infrared sensor in car shed to monitor the car activities. Based on the car motion we can use infrared sensor. Infrared sensor is used to sense the car movement based on the movement light is automatically changed into on condition and if there is no movement the light turns into off condition. The Arduino board have microcontroller to control all the process occurred in home and it can be sensed by the various sensor and it can be alert to the owner by mail or any other process. The results are obtained with the help of Arduino Software and Arduino UNO for all the sensors.

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17

Singh, Rajwinder. "Home Automation System." International Journal for Research in Applied Science and Engineering Technology 8, no. 11 (November 30, 2020): 846–48. http://dx.doi.org/10.22214/ijraset.2020.32314.

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18

Choudhary, Rakesh, M. Rajarathnam, M. Alekya, K. Prithiv Hari, and S. Selva Kumar. "Agriculture automation system." Journal of Physics: Conference Series 1706 (December 2020): 012089. http://dx.doi.org/10.1088/1742-6596/1706/1/012089.

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Meher, Amey. "Canteen Automation System." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (May 31, 2021): 1235–42. http://dx.doi.org/10.22214/ijraset.2021.34506.

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20

Zhou, Zhen Zhen, Xiang Yu Chen, and Meng Sun. "Research on System Integration Technology for Operation & Maintenance Automation System of CSG EHV Power Transmission Company." Applied Mechanics and Materials 644-650 (September 2014): 3605–9. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.3605.

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The development of Operation &Maintenance Automation System of CSG EHV Power Transmission Company needs to integrate some automation systems being in use, in order to build effective connections among different data and business process. This paper introduced several system integration technologies, and analyzed the applicability of these technologies referring to the automation systems used in power Grid Company, and proposed system integration solutions for typical automation systems in details.

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21

Mr. Bhandarkavthe S. S and Mr. Desai P. B. "Smart Home Automation System." International Journal on Integrated Education 2, no. 5 (October 29, 2020): 222–29. http://dx.doi.org/10.31149/ijie.v2i5.777.

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This paper proposes the design of Inter of Things (IoT) based home automation system using Raspberry pi. Currently in day today’s life we can hardly find a house without a home automation system. This project is intended to construct a home automation system that uses any mobile device to control the home appliances. This home automation system is based on IoT. Home automation is very exciting field when it uses new technologies like Internet of Things (IoT). Raspberry pi is credit card size computer. Raspberry pi supports large number of peripherals. Raspberry pi is having different communication media like Ethernet port, HDMI port, USB port, Display Serial Interface, Camera Serial Interface, Bluetooth, Bluetooth low energy. It allows controlling number of home appliances simultaneously. Here local server is created on Raspberry pi. User required to use different mobile devices like smart phones, Laptops, Tablets to operate the home appliances with the help of UI created on web page.

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22

Khusenov, Murod, Otabek Umurov, and Qo`Ldosh Juraev. "Development Of An Electronic System For Online Assessment Of The Work Of The Teaching Staff On A 110-Point System." American Journal of Interdisciplinary Innovations and Research 03, no. 05 (May 7, 2021): 65–71. http://dx.doi.org/10.37547/tajiir/volume03issue05-11.

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The main topic of the article is considered to be the automation of the rating approach. The model of the information system adaptable to automation and the system architecture are proposed in this article. The features of the system implementation are also discussed. The model and functions provide effective maintenance of the automation information system. The results of using the system are also given.

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23

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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Magnus Fernandes Guimarães, Alexandre, Thiago Queiroz de Medeiros, Jader Fernandes de Sousa, Jurandir de Oliveira Neto, Antonio Higor Freire de Morais, Andrés Ortiz Salazar, and André Laurindo Maitelli. "Automation System Applied To A Plasma Inertization Plant." Eletrônica de Potência 12, no. 1 (March 1, 2007): 19–25. http://dx.doi.org/10.18618/rep.2007.1.019025.

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Ghosh, Shreya, Subhasree Konar, Soumen Ghosh, Tanumay Ghosh, and Suvojit Gope. "Dual Tone Multiple Frequency Based Home Automation System." International Journal of Engineering Research 4, no. 10 (October 1, 2015): 542–44. http://dx.doi.org/10.17950/ijer/v4s10/1006.

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VASHISHTHA, PUSHPENDRA KUMAR, ROHIT GOEL, PRIYANKA SAHNI, and ASHWINI KUMAR. "A Survey on Automation of University Examination System." Global Journal For Research Analysis 3, no. 5 (June 15, 2012): 99–100. http://dx.doi.org/10.15373/22778160/may2014/36.

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Li, Peng, Fang Yi Che, Yi Min Qian, and Hai Bo Zhang. "System Design and Implementation of Distribution Automation Evaluation and Analysis System." Applied Mechanics and Materials 738-739 (March 2015): 1053–60. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.1053.

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In this paper, based on the requirements of standards system of distribution automation, standardized testing method and testing process of performance index of distribution automation system (DAS) is proposed according to the characteristics of implementation, and the technology of automatic test is studied. The paper also brings forward a set of feasible evaluation method and system of DAS to ensure the safe and stable running of distribution automation (DA), combining with a common information model (CIM) import and export function test based on feedback principle and a function test of feeder automation based on predefined fault model.

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MAEHIGASHI, AKIHIRO. "Evaluation of automation systemsfor human-automation system cooperation." Joho Chishiki Gakkaishi 26, no. 4 (2017): 312–17. http://dx.doi.org/10.2964/jsik_2017_002.

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Rahman, Muhamad Arfauz A., and John Mo. "Transformation of System Action for Reconfigurable Automation Work System." Advanced Materials Research 422 (December 2011): 359–62. http://dx.doi.org/10.4028/www.scientific.net/amr.422.359.

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The main idea of this paper is recent about the transformation of system actions extracted from the user requirement. The system actions are required before the implementation of reconfigurable automation work system. System actions are selected base on suitability of a process. Later, each system actions are matched with suitable system components to create a set of system specification. This specification is used to implement the automation system for each process. The developments of the automation work systems are limited by some constraints such as number of component used as well as the availability of component in the repository system.

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Ma, You Jie, De Xiang Wang, and Xue Song Zhou. "The Current Research on Distribution Automation System." Applied Mechanics and Materials 727-728 (January 2015): 835–38. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.835.

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A distribution system consists of all sorts of power distribution equipment, communication system and control equipment. It works according to certain rules to meet the demand of users by the high quality of electric energy. Distribution Automation(DA) can realize the automation of system operation and management to provide customers with stable, reliable electricity and obtain maximum benefits .This paper generally introduces the concept, function, developing future of Distribution Automation System. Distribution Automation includes feeder automation, automatic distribution management and user automation, and this paper introduces the basic situation and problems of them. Finally, it is concluded that Distribution Automation is the inevitable trend of Distribution System，and will be gradually developing in the direction of smart distribution grid.

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Unver, H. Ozgur. "System Architectures Enabling Reconfigurable Laboratory-Automation Systems." IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 41, no. 6 (November 2011): 909–22. http://dx.doi.org/10.1109/tsmcc.2011.2107552.

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Navin, Ranjan. "IOT Home Automation." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (December 31, 2021): 1820–23. http://dx.doi.org/10.22214/ijraset.2021.39630.

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Abstract: The Internet of Things (IoT) is the most recent technology platform. We may regulate our daily routine work, such as home applications, control, and simple communication systems, using IOT, and improve our digital services. The Internet of Things (IoT) is a system that intelligently adds everyday content information to the internet in order to facilitate communication between objects and humans, as well as among themselves. In this study, we demonstrate how IoT can improve home automation. The relay, Node MCU, which is a network access component, is used in our suggested system. We can control that equipment using an IoT-based system technique. Mobile phones, computers, and tablets are used as user interfaces in home automation systems. They can connect to the home automation network through a wireless internet connection. The user will interact with the system directly via the control interface, while home appliances will be controlled remotely via a mobile app. An additional aspect of the home automation system is that it may be protected remotely. This redesigned design concept provided a home automation system that could be controlled efficiently. Keywords: IOT, home automation, smart home, relay, response time, Node MCU (ESP8266)

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Hu, Yurui. "Development and Realization of Electrical Automation Control System." Journal of Physics: Conference Series 2143, no. 1 (December 1, 2021): 012047. http://dx.doi.org/10.1088/1742-6596/2143/1/012047.

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Abstract With the development of computer intelligence technology, it has brought new opportunities and challenges to the development of electrical automation control systems. This article mainly analyzes the automatic detection technology and the design of the electrical automation control system. It also studies the electrical automation control system.

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Shelar, Prajakta Sanjay. "Exam Cell Automation System." International Journal for Research in Applied Science and Engineering Technology 6, no. 5 (May 31, 2018): 1186–88. http://dx.doi.org/10.22214/ijraset.2018.5193.

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Nayal, Arpita, Mahima Gaur, Tanisha Kashyap, and Vartika Shukla. "PETROL PUMP AUTOMATION SYSTEM." International Journal of Engineering Applied Sciences and Technology 5, no. 1 (May 31, 2020): 341–45. http://dx.doi.org/10.33564/ijeast.2020.v05i01.054.

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B. A., Prof Jadhawar, and Ms Deshmukh D.K. "Online Establishment Automation System." IARJSET 4, no. 4 (January 27, 2017): 42–45. http://dx.doi.org/10.17148/iarjset/nciarcse.2017.12.

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Jamal, Haris, Indrasish Banerjee, and Subhankar Bhattacharjee. "Wireless Home Automation System." IJIREEICE 7, no. 4 (April 30, 2019): 103–4. http://dx.doi.org/10.17148/ijireeice.2019.7417.

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Noriyas, Fukatsu. "Factory automation network system." Computer Integrated Manufacturing Systems 10, no. 2 (May 1997): 171. http://dx.doi.org/10.1016/s0951-5240(97)84319-4.

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Bernhardt, Rolf, Alexander Sabov, and Cornelius Willnow. "Virtual Automation System Standards." IFAC Proceedings Volumes 37, no. 5 (June 2004): 43–48. http://dx.doi.org/10.1016/s1474-6670(17)32341-8.

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M.D, Boomija, Sahaya Michel Rosetta K, Priya Dharshini P, and Sree Swarna Laximi S. "Book Bank Automation System." IOSR Journal of Mobile Computing & Application 04, no. 02 (April 2017): 20–25. http://dx.doi.org/10.9790/0050-04022025.

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Inoue, Masahiro, Kazuho Uemura, Yoshiji Minagawa, Mitsunobu Esaki, and Yoshiyuki Honda. "A Home Automation System." IEEE Transactions on Consumer Electronics CE-31, no. 3 (August 1985): 516–27. http://dx.doi.org/10.1109/tce.1985.289966.

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Chao, Shih-Liang, and Ya-Lan Lin. "Gate automation system evaluation." Maritime Business Review 2, no. 1 (March 15, 2017): 21–35. http://dx.doi.org/10.1108/mabr-09-2016-0022.

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Purpose This study has two purposes. The first is to identify the determinants influencing the selection of a container number recognition system via a quantitative method to thereby establish an evaluation structure. The second purpose is to conduct an empirical study to determine the weights of the criteria and alternatives. Design/methodology/approach The exploratory factor analysis (EFA) and fuzzy analytic hierarchy process (AHP) were applied to determine the evaluation structure and weights of the criteria and alternatives, respectively. Findings An empirical study based on a dedicated terminal at Keelung Port is conducted. The result demonstrates that the radio-frequency identification (RFID) system is a suitable system for the terminal under consideration in this study. Originality/value The value of this study is twofold. First, EFA was applied to extract common factors from a wide questionnaire survey, thereby establishing a hierarchical analysis structure. This method and comprehensive evaluation structure are useful references for both practitioners and researchers to deal with problems of gate automation. Second, fuzzy AHP was used to decide the weights of the hierarchical structure. The weights obtained by this method are more objective and rational as the imprecision expressions in returned samples have been considered and dealt with.

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Lee, Dong-Eun, and Jonathan J. Shi. "Construction Business Automation System." Journal of Construction Engineering and Management 132, no. 1 (January 2006): 88–96. http://dx.doi.org/10.1061/(asce)0733-9364(2006)132:1(88).

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Hamsagayatri, P., S. Subash, S. Susheel, and K. M. Venkatesh. "Wireless Home Automation System." IOP Conference Series: Materials Science and Engineering 1084, no. 1 (March 1, 2021): 012075. http://dx.doi.org/10.1088/1757-899x/1084/1/012075.

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Sharma, Priyanka, Vishakha Agarwal, Tanmay Nayyar, and Tarun Awasthi. "Bluetooth Home Automation System." International Journal of Engineering, Business and Management 5, no. 5 (2021): 8–12. http://dx.doi.org/10.22161/ijebm.5.5.3.

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Rawal, Shannay, M. Ramachandran, Vishal Fegade, and U. Ragavendran. "Simplification of Home Automation System Using Various Sensors, Actuators and Control System." International Journal of Engineering & Technology 7, no. 3.1 (August 4, 2018): 174. http://dx.doi.org/10.14419/ijet.v7i3.1.17081.

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Usually, home automation talks about the domestic atmosphere that increases the class of the occupant’s life by eliminating as much human interface as in theory possible in numerous domestic practices and exchange them with automated mechatronics systems. Home automation comprises selected form of intelligence, home network and or centralized or logic distributed network or specific control unit. The modest system works on an approach in which the functionality is hardwired and incorporated into the system and cannot be altered automatically without the interference of technical or a knowledgeable person. Advanced sensor technology with Wireless advancement expands our sensing competencies by linking communication networks and physical world which enables wide-ranging applications in respect of home automation. In this article, we are discussing various sensors, actuators and control systems utilized for the home automation systems.

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Chen, Liang, Xiao Jun Zuo, and Yu Fei Wang. "Research on Information Security Test Bed and Evaluation Framework for Distribution Automation System." Applied Mechanics and Materials 737 (March 2015): 210–13. http://dx.doi.org/10.4028/www.scientific.net/amm.737.210.

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Analyzing the characters and abstracting the system model of the distribution automation system, information security test-bed of distribution automation is designed. Meanwhile, information security test and evaluation framework is proposed based on the lifecycle of distribution automation system. The evaluation activities and the testing methods are analyzed and key problems and solutions of information security evaluation and reinforcement requirements for distribution automation system are introduced. The work in this paper can effectively support the information security protection of distribution automation system, and can provide reference for other power industrial control systems.

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Mitchell, Christine M., David A. Thurman, and David M. Brann. "The Human Factor in ‘Lights-Out’ Automation: Using Field Study Data to Identify Critical Human Factors Design Issues." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 3 (October 1998): 364–68. http://dx.doi.org/10.1177/154193129804200339.

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Operations automation is a computer-based system that attempts to encode operator expertise, typically the expertise of personnel in charge of complex dynamic systems. The use of automation to replace operators is becoming a serious option in many systems, some of which are safety critical. One application of operations automation is ‘lights-out’ automation, that is, systems in which there are no operators to ‘tend’ the system. If an error occurs, the system remotely pages an operator who evaluates the problem. This paper is predicated on the assumption that even the best-designed automation requires human interaction, since, for the foreseeable future, all automation will inevitably fail at some point in time. Automated systems that attempt to emulate human expertise are likely to fail even more often, as building robust systems of this type remains a challenging research issue. Thus, identifying and addressing design issues for operations automation are critical components to ensure safe and productive systems. Design issues include the ability to elicit and encode robust expert knowledge, as well as supporting human-automation interaction with operations personnel when the system reaches its inevitable limits, and with engineers and software designers who must ensure that the system does not fail the same way more than once. This paper describes two field studies of operations automation fielded at NASA for satellite control. The purpose is to understand how and why such automation fails and design issues that facilitate or degrade human-automation interaction.

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末永, 良彦, and 俊幸池田. "Feature of Current Hitachi Laboratory Automation System and Future (Laboratory Automation System )." JAPANES JOURNAL OF MEDICAL INSTRUMENTATION 67, no. 12 (December 1, 1997): 585–90. http://dx.doi.org/10.4286/ikakikaigaku.67.12_585.

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Hartono, Rodi, Fajar Petrus Apris Samosir, Okta Rusdiansyah, and Rizky Naufal M. "Braking System Automation on Cars using a Distance Sensor." Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan 7, no. 1 (April 29, 2019): 54–65. http://dx.doi.org/10.34010/telekontran.v7i1.1637.

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The factor of driver error in driving (human error) is one of the causes of the high number of traffic accidents in the present. To anticipate this, the discipline and concentration of the driver when driving is needed. However, when drivers have discipline and sufficient concentration of accidents can still occur. Therefore, the quality of the vehicle security system also greatly affects safety when driving. With the development of science and technology today it is very possible for humans to make security systems in vehicles. Accidents are often caused by the driver being unable to react quickly when there is a sudden blocking of objects. Especially when the driver is driving at high speed. This can be overcome by automating the braking system, so that the vehicle's speed will slow down even though the driver does not step on the brake lever. So that the possibility of an accident can be avoided. And automation is expected to be implemented in vehicles widely. In this study, designed a brake automation system using fuzzy logic by making a prototype. This prototype serves as a visual aid to evaluate the workings of the membership functions that will be used. From this evaluation it is known the value of each membership function. These values are used as the main parameters in determining the Rules that will affect the output value of the brake force. With these Rules, automation of the brake system can work optimally. And it is known that the distance of the prototype car can run between other obstacle with a width of 50cm and the braking of the prototype car stops completely when the prototype is ± 5-10 cm with the obstacle in front of it. Keywords: Automation of Brake Systems, Fuzzy Logic, Distance, Speed.

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