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1

Pattanaik, Balachandra, und Dr S. Chandrasekaran Dr S. Chandrasekaran. „Fault tolerant Automotive CAN Control Embedded System“. Global Journal For Research Analysis 2, Nr. 1 (15.06.2012): 57–59. http://dx.doi.org/10.15373/22778160/january2013/65.

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2

KOPČÍK, Michal, und Ján JADLOVSKÝ. „EMBEDDED CONTROL SYSTEM FOR MOBILE ROBOTS WITH DIFFERENTIAL DRIVE“. Acta Electrotechnica et Informatica 17, Nr. 3 (September 2017): 42–47. http://dx.doi.org/10.15546/aeei-2017-0025.

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3

Fisher, Francis (Pete). „Embedded ASR: Lessons Learned Integrating Speech Control into Embedded Systems“. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, Nr. 22 (Juli 2000): 758–61. http://dx.doi.org/10.1177/154193120004402268.

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For the most basic embedded systems, an integrator must assume that the system has no keyboard support, no mouse, and no monitor. A programmable keypad and a limited alphanumeric display are the usual interface devices. Our research looks at the new generation of powerful embedded platforms and operating systems to investigate the potential integration of automatic speech recognition (ASR) to control high-end diagnostic systems. Our goal is to present a working design model and identify critical issues to aid future designers and system engineers in the process of incorporating speech control into embedded systems. Critical issues discussed include hardware platforms, use of off-the-shelf ASR software, real-time versus near-real-time operating systems, and user system navigation and location awareness.
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4

Essien, Joe. „Enhancing Role - Based Access Control with Embedded Facial Recognition RBAC - EFR System“. International Journal of Science and Research (IJSR) 12, Nr. 6 (05.06.2023): 2767–74. http://dx.doi.org/10.21275/sr23625003927.

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5

Dostálek, Petr, Jan Dolinay und Vladimír Vašek. „Modular control system for embedded applications“. MATEC Web of Conferences 76 (2016): 02033. http://dx.doi.org/10.1051/matecconf/20167602033.

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6

Šín, Karel, Jiří Kotzian und Vilém Srovnal. „Embedded Control System for Temperature Controlling“. IFAC Proceedings Volumes 36, Nr. 1 (Februar 2003): 369–72. http://dx.doi.org/10.1016/s1474-6670(17)33776-x.

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7

Dietrich, Dietmar, und Heinrich Garn. „Embedded Vision System“. EURASIP Journal on Embedded Systems 2007 (2007): 1–2. http://dx.doi.org/10.1155/2007/34323.

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8

Dong, Shaofeng, Yahai Wang, Wei Hu, Guangshan Zhang und Jinsong Zhan. „Constant temperature control system of building energy system“. Thermal Science 25, Nr. 4 Part B (2021): 2853–60. http://dx.doi.org/10.2298/tsci2104853d.

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Due to the poor effect of traditional systems on constant temperature control, the paper proposes to design an embedded continuous temperature control system in a dynamic, intelligent building. In the smart building, the thesis takes the building as the research object and uses the embedded technology to design the overall structure diagram of the system. The thesis aims at the output control module of the thermostat. It uses the Peltier effect to develop the thermocouple closed-loop and drives the semiconductor refrigeration device select. In the software part, the paper establishes a cross-compilation environment, transplants embedded kernels, and sets fuzzy rules for constant temperature control. The validity of the system design is verified through experiments. It can be seen from the experimental results that the system has a better thermostat control effect.
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Kelemen, Michal, Ľubica Miková, Darina Hroncová, Filip Filakovský und Peter Ján Sinčák. „EMBEDDED SYSTEMS – CONTROL OF POWER SUBSYSTEMS“. Acta Mechatronica 5, Nr. 2 (30.06.2020): 23–28. http://dx.doi.org/10.22306/am.v5i2.64.

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The main role of embedded system is to control the product behaviour or control of outside world. Microcontroller as embedded system obtains information through the sensors and makes adequate impact to outside world after sensor data processing. The microcontroller impact is realized through the actuators which convert the electrical energy (or different type of energy) to mechanical work. These processes are executed because of fulfil customer requirements. Microcontrollers as signal controllers work only with low power signals. This paper discusses the possibilities and application of controlling the power subsystems via using the embedded systems.
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Zou, Cun Ming. „Embedded Digital Control System of the Automatic Test System“. Applied Mechanics and Materials 340 (Juli 2013): 461–65. http://dx.doi.org/10.4028/www.scientific.net/amm.340.461.

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This text has introduced a set of automatic test systems that designs for and a kind of embedded digital control system ' and demand to design a kind of indicative test to system testing It describe rules by language (this system from computer as controlling core ,interactive user interfaces good ,realized in protecting the real-time test of high speed under the mode.
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11

Yin, Jin Guang, und Zhi Qiang Zhang. „The Research of Embedded System in Industrial Control“. Advanced Materials Research 1030-1032 (September 2014): 1570–73. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1570.

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The degree of automation of industrial control has been improved by the development of embedded systems.This paper conducts analysis and comparison of the VxWorks operating system RTLinux, and gives a preview of the development trend of industrial embedded systems finally, through the analysis of the characteristics of industrial control system and its special requirements for embedded software and hardware,which focus on the arm series processor,and.
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Slavov, Tsonyo, Alexander Mitov und Jordan Kralev. „Advanced Embedded Control of Electrohydraulic Power Steering System“. Cybernetics and Information Technologies 20, Nr. 2 (01.06.2020): 105–21. http://dx.doi.org/10.2478/cait-2020-0020.

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AbstractThe article presents a developed embedded system for control of electrohydraulic power steering based on multivariable uncertain plant model and advanced control techniques. The plant model is obtained by identification procedure via “black box” system identification and takes into account the deviations of the parameters that characterize the way that the control signal acts on the state of the model. Three types of controller are designed: Linear-Quadratic Gaussian (LQG) controller, H∞ controller and μ-controller. The main result is a performed comparative analysis of time and frequency domain properties of control systems. The results show the better performance of systems based on µ-controllers. Also the robust stability and robust performance are investigated. All three systems achieved robust stability which guarantees their workability, but only the system with µ-controller has robust performance against prescribed uncertainties. The control algorithms are implemented in specialized 32-bit microcontroller. A number of real world experiments have been executed, which confirm the quality of the electrohydraulic power steering control system.
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Oyen, R. A., M. A. Keyes und M. P. Lukas. „An Expert System Shell Embedded in the Control System“. IFAC Proceedings Volumes 21, Nr. 13 (September 1988): 61–66. http://dx.doi.org/10.1016/s1474-6670(17)53700-3.

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14

J.Hake, A., und A. J. Patil. „Condensation Control in Polyhouse using Embedded System“. International Journal of Computer Applications 108, Nr. 18 (18.12.2014): 1–4. http://dx.doi.org/10.5120/19008-0494.

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15

Shah, Saloni, Siddhi Patel und Harish Narula. „Intelligent Vehicle Theft Control using Embedded System“. International Journal of Computer Applications 107, Nr. 19 (18.12.2014): 34–37. http://dx.doi.org/10.5120/18863-0564.

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16

Malek, Bola S., Zachary Pagel, Xuejian Wu und Holger Müller. „Embedded control system for mobile atom interferometers“. Review of Scientific Instruments 90, Nr. 7 (Juli 2019): 073103. http://dx.doi.org/10.1063/1.5083981.

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17

Harrison, P. R., und P. A. Harrison. „Validating an embedded intelligent sensor control system“. IEEE Expert 9, Nr. 3 (Juni 1994): 49–53. http://dx.doi.org/10.1109/64.311279.

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18

Haber, R. E., J. R. Alique, A. Alique, J. Hernández und R. Uribe-Etxebarria. „Embedded fuzzy-control system for machining processes“. Computers in Industry 50, Nr. 3 (April 2003): 353–66. http://dx.doi.org/10.1016/s0166-3615(03)00022-8.

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19

Gupta, Chanchal, V. K. Tewari, A. Ashok Kumar und Prateek Shrivastava. „Automatic tractor slip-draft embedded control system“. Computers and Electronics in Agriculture 165 (Oktober 2019): 104947. http://dx.doi.org/10.1016/j.compag.2019.104947.

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20

Sziebig, Gábor, Béla Takarics und Péter Korondi. „Control of an Embedded System via Internet“. IEEE Transactions on Industrial Electronics 57, Nr. 10 (Oktober 2010): 3324–33. http://dx.doi.org/10.1109/tie.2010.2041132.

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21

Wang, Xu Hui. „The Research on Embedded Real-Time System Security Issues in Mechanical Control“. Advanced Materials Research 681 (April 2013): 65–71. http://dx.doi.org/10.4028/www.scientific.net/amr.681.65.

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Embedded real-time systems are facing more and more security problems. Malicious attacks on the system from suspicious or malicious code and the change of system hardware state could lead to system exception, resulting in system reliability and security deteriorated. This paper summarizes the characteristics of embedded real-time system and its special requirements for security, analyses security problems faced by embedded real-time system and defects of programming languages. And then put forward methods to improve the safety of embedded real-time system, providing a new security the idea for solving the embedded real-time system security.
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22

Hao, Hong Qi, und Hong Tao Guo. „The Development of RFID Data Management System Based on Embedded System“. Advanced Materials Research 718-720 (Juli 2013): 2080–85. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2080.

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Embedded system in general is formed by the embedded computer system and implementing device. Embedded system is a control program stored in ROM embedded processor control board. The basic function of Radio Frequency Identification (RFID) is to realize the precise data acquisition. RFID reader via the antenna and the RFID tag for wireless communication can be achieved on the label identification code and a memory data read or write operation. The paper presents the development of RFID data management system based on embedded system. Experimental results show that the proposed algorithm has high efficiency.
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23

Lu, Yixuan. „The application of embedded system on electric devices“. Journal of Physics: Conference Series 2649, Nr. 1 (01.11.2023): 012030. http://dx.doi.org/10.1088/1742-6596/2649/1/012030.

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Abstract Embedded system control technology is widely used in airborne electronic equipment. Embedded system control technology is at the core of the development process of airborne electronic devices, but currently the overall design of system control for airborne electronic devices is not planned from the top level of the system, which may cause the system control of the device to not fully meet the user’s needs in terms of use functions, and the system control software often needs to be modified, wasting a large amount of human, material, and financial resources. Aiming at this, this paper discusses the embedded system control technology and design methods applied in airborne electronic equipment. This article will analyze the current research status of the application of embedded systems in electrical equipment from multiple aspects, and provide prospects for its future development. Through analysis, the entire development process and shortcomings of embedded systems can be clarified, providing reference for their better application in industrial environments in the future.
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24

Wu, Yu En, Kuo Chan Huang und Chih Lung Shen. „Application of Embedded System in Energy Management System“. Advanced Materials Research 875-877 (Februar 2014): 1949–53. http://dx.doi.org/10.4028/www.scientific.net/amr.875-877.1949.

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In this paper, a custom-made energy management system based on embedded system with a touch panel/LCD/FPGA and microprocessor is implemented, it not only solve the problem of energy waste, control scattered energy supply and saving, but also generate a user-friendly control platform. The life of the proposed system is also longer than an EMS with personal computer. In the proposed embedded EMS, a simulation of FPGA is firstly designed and processed with the control circuit of touch panel, RENESASs micro-processor, and communication panels of ZIGBEE and CAN BUS to constitute the system hardware. Analysis and allocation of energy is then done to complete the software design. Finally, experimental results are used to verify the feasibility and reliability of the proposed EMS.
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25

Du, Li, Yun Ke und Song Su. „The Embedded Quality Control System of Product Manufacturing Process“. Advanced Materials Research 459 (Januar 2012): 510–13. http://dx.doi.org/10.4028/www.scientific.net/amr.459.510.

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In this paper, the embedded quality control system of product manufacturing process is established to provide sophisticated aids between the modern production and SPC quality management methods. Using a variety of data interface of embedded system, the system adopts automatic or semi-automatic way to collect data to ensure the data accuracy, a recognition algorithm of control chart is contrived by using neural network to achieve the early warning of quality problems and to hint the cause of failure, so that the embedded SPC systems can provide timely and accurate decision-making information for the on-site management personnel
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26

Perera, et al., T. A. S. Achala. „Novel Embedded System Based Species Recognition System for Pest Control“. International Journal of Computing and Digital Systems 5, Nr. 5 (01.09.2016): 387–93. http://dx.doi.org/10.12785/ijcds/050503.

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27

Shoshmina, I. V. „Distributed embedded control system design with verification support“. Automatic Control and Computer Sciences 45, Nr. 7 (Dezember 2011): 437–43. http://dx.doi.org/10.3103/s0146411611070145.

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28

Zhang, Peng Ju, Gai Zhi Guo und Zong Zuo Yu. „Design of Embedded Romote Smart Home Control System“. Applied Mechanics and Materials 475-476 (Dezember 2013): 807–10. http://dx.doi.org/10.4028/www.scientific.net/amm.475-476.807.

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Along with the wide application of single chip computer and ARM technique as well as the development of communication technology, GPRS general grouping wireless service is attached with more importance by people in the current romote smart home system. The romote smart home system design based on TC35i Module and S3C2410X was elaborated, GPRS technology was used to realize remote control [1,2] , RS485 bus technique was used to net the home system, and embedded system was used to establish the developing platform of Home Intelligent controller which can realize intelligent management and control of home applications. Partial hardware electric diagram and software flowchart were provided. Field using indicates that this system is economical and flexible.
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Francis, Angelica Pearl. „Embedded System Application on Shipping Surveillance and Control“. International Journal for Research in Applied Science and Engineering Technology 9, Nr. 4 (30.04.2021): 1002–8. http://dx.doi.org/10.22214/ijraset.2021.33787.

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30

Chang Yan, 常艳, 周志强 Zhou Zhiqiang, 吕阳 Lü Yang, 袁学文 Yuan Xuewen und 谢川林 Xie Chuanlin. „Design of embedded wavefront process and control system“. High Power Laser and Particle Beams 25, s (2013): 67–70. http://dx.doi.org/10.3788/hplpb2013250s.0067.

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31

Halil, Tyurker, Ovid Farhi und Yordan Chervenkov. „EMBEDDED FUZZY CONTROLLER FOR ADAPTIVE HEATING SYSTEM CONTROL“. IFAC Proceedings Volumes 39, Nr. 19 (2006): 75–80. http://dx.doi.org/10.3182/20061002-4-bg-4905.00013.

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32

Gonzalez, A., A. Crespo, J. Simó, I. Ripoll und M. Masmano. „A NETWORKED EMBEDDED SYSTEM FOR MONITORING AND CONTROL“. IFAC Proceedings Volumes 40, Nr. 1 (2007): 204–10. http://dx.doi.org/10.3182/20070213-3-cu-2913.00035.

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33

MA Jian-she, 马建设, 李合银 LI He-yin, 程雪岷 CHENG Xue-min, 林家用 LIN Jia-yong und 张志清 ZHANG Zhi-qing. „Control system for embedded auto-focusing camera module“. Optics and Precision Engineering 20, Nr. 10 (2012): 2222–28. http://dx.doi.org/10.3788/ope.20122010.2222.

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34

ZHOU, Zude. „Embedded-based network numerical control technology and system“. Chinese Journal of Mechanical Engineering 43, Nr. 05 (2007): 1. http://dx.doi.org/10.3901/jme.2007.05.001.

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35

Bosnak, Matevz, und Igor Skrjanc. „Embedded Control System for Smart Walking Assistance Device“. IEEE Transactions on Neural Systems and Rehabilitation Engineering 25, Nr. 3 (März 2017): 205–14. http://dx.doi.org/10.1109/tnsre.2016.2553369.

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36

Huang, Shiuh-Jer, Chiao-Kuen Yu und Janq-Yann Lin. „Intelligent robotic impedance control using embedded system structure“. Transactions of the Institute of Measurement and Control 35, Nr. 5 (17.09.2012): 561–73. http://dx.doi.org/10.1177/0142331212460718.

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37

Cechticky, V., A. Pasetti und W. Schaufelberger. „THE ADAPTABILITY CHALLENGE FOR EMBEDDED CONTROL SYSTEM SOFTWARE“. IFAC Proceedings Volumes 38, Nr. 1 (2005): 155–60. http://dx.doi.org/10.3182/20050703-6-cz-1902.01067.

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38

Patel, P., und M. Moallem. „Reconfigurable system for real-time embedded control applications“. IET Control Theory & Applications 4, Nr. 11 (01.11.2010): 2506–15. http://dx.doi.org/10.1049/iet-cta.2009.0471.

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39

Diallo, Alpha Daye, Suresh Gobee und Vickneswari Durairajah. „Autonomous Tour Guide Robot using Embedded System Control“. Procedia Computer Science 76 (2015): 126–33. http://dx.doi.org/10.1016/j.procs.2015.12.302.

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40

Otesteanu, Marius. „C08: Embedded system for air-cushion transporter control“. IFAC Proceedings Volumes 37, Nr. 20 (November 2004): 304–9. http://dx.doi.org/10.1016/s1474-6670(17)30616-x.

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41

Hájovský, Radovan, Bohumil Horák, Jiří Kotzián, Jiří Koziorek und Vilém Srovnal. „Embedded Remote Measurement and Control System Apply GSM“. IFAC Proceedings Volumes 36, Nr. 1 (Februar 2003): 55–60. http://dx.doi.org/10.1016/s1474-6670(17)33715-1.

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42

Marti, Pau, Manel Velasco, Josep M. Fuertes, Antonio Camacho und Giorgio Buttazzo. „Design of an Embedded Control System Laboratory Experiment“. IEEE Transactions on Industrial Electronics 57, Nr. 10 (Oktober 2010): 3297–307. http://dx.doi.org/10.1109/tie.2010.2040559.

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43

Sampaio, Marcos, Andre Luiz Guerreiro Modesto, Elionai Gomes de Almeida Sobrinho, Jose Felipe Almeida und Otavio Andre Chase. „SELVABOT-1: Embedded Control System Using Bluetooth Technology“. IEEE Latin America Transactions 12, Nr. 8 (Dezember 2014): 1404–9. http://dx.doi.org/10.1109/tla.2014.7014507.

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44

Salazar-Cruz, S., J. Escareño, D. Lara und R. Lozano. „Embedded control system for a four-rotor UAV“. International Journal of Adaptive Control and Signal Processing 21, Nr. 2-3 (2007): 189–204. http://dx.doi.org/10.1002/acs.940.

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45

Munteanu, Eugeniu. „Embedded Foucault’s Pendulum Amplitude Measurement and Control System“. Intellectus, Nr. 2 (Dezember 2022): 109–13. http://dx.doi.org/10.56329/1810-7087.22.2.11.

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This article deals with the problem of measuring the amplitude of the Foucault’s pendulum. In this context, the applied methods and procedures are first described, after which the structure of the embedded system for measuring and controlling the amplitude of the Foucault’s pendulum is presented. It is mentioned that in order to provide planetary astronomical measurements, the architecture of the measurement and control system must fit into the edge-to-cloud continuous computing paradigm. For this purpose, the pendulum must be kept in oscillation mode, without interfering with natural phenomena affecting the pendulum.
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Li, Yao Qiu, und Rui Wang. „Valve Control System of Oil Depot Based on AnyCAN5000“. Applied Mechanics and Materials 130-134 (Oktober 2011): 260–64. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.260.

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With application of the embedded microcontroller technology into the valve control, the valve control system of oil depot is designed on the basis of embedded microcontroller AnyCAN5000. The system constitutes of host computer and slave computer, giving designs of hardware and software systems, which is characterized by low cost and high reliability, and with application of the technology in practice the valve control system can bring good effect and meet needs of control.
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Zou, Wei, Junzhi Yu und De Xu. „Development of the Embedded Vision System: A Survey“. Measurement and Control 42, Nr. 7 (September 2009): 216–21. http://dx.doi.org/10.1177/002029400904200705.

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Recently embedded technology has been widely applied to machine vision and embedded vision systems are more and more popular. This paper reviews the advances on embedded vision systems, and then compares and analyzes their frameworks in processing ability, cost and performance. A discussion is provided for some unsolved problems for embedded vision systems. Finally, the future of embedded vision system is outlined.
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Wang, Jiandi. „Research Status and Prospect of Embedded System“. Highlights in Science, Engineering and Technology 46 (25.04.2023): 49–55. http://dx.doi.org/10.54097/hset.v46i.7663.

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Embedded system is one of the key research topics nowadays. The engineers found that embedded system can be applied in many electronic engineering fields, such as daily household appliances, industrial control, etc. A complete embedded system includes all of the necessary components, such as an embedded processor, hardware structure, software system, and operating system. The central characteristics of embedded systems are the heterogeneity of their implementation technologies (digital hardware, software), the tightness of their nonfunctional requirements, and their complexity. Despite the fact that embedded systems have been widely used in modern society, there is still a lack of unified understanding of the classification of embedded processors. Through the understanding of the overall structure of embedded systems and the research of the application status of embedded systems, researchers or engineers can make wiser choices when designing embedded systems.
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Patra, Prabal, Chitresh Kundu und Ashish Agrawal. „Combustion control system for coke ovens embedded with auto positioning systems“. Ironmaking & Steelmaking 46, Nr. 4 (12.11.2017): 320–34. http://dx.doi.org/10.1080/03019233.2017.1386457.

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50

Guo, ZiChen, YiFan Liu und Fang Lu. „Embedded remote monitoring system based on NBIOT“. Journal of Physics: Conference Series 2384, Nr. 1 (01.12.2022): 012038. http://dx.doi.org/10.1088/1742-6596/2384/1/012038.

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Abstract With the rapid development of information technology, the remote control has become an important means to improve production efficiency and intelligence level. In this paper, an embedded remote control system based on NBIoT technology is designed and produced. Based on STM32F427 as the control core, the system can collect the current and voltage of each branch and perform data analysis, data processing, and branch on-off control. It connects multiple smoke sensors to realize the fire warning function. Data transmission is realized through NBIoT technology and the OneNet platform, and users can realize remote control through APP. Multiple built-in communication interfaces can be extended for different scenarios. It has a good effect on the test and can meet the requirements of remote control. It has high application value in industrial control, smart city, and other fields.
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