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Journal articles on the topic 'Embedded Systems'

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Published: 4 June 2021
Last updated: 20 July 2024

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1

Miková, Ľubica, Ivan Virgala, and Michal Kelemen. "EMBEDDED SYSTEMS." Acta Mechatronica 3, no. 2 (June 30, 2018): 1–5. http://dx.doi.org/10.22306/am.v3i2.32.

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2

Milojicic, D. "Embedded systems." IEEE Concurrency 8, no. 4 (October 2000): 80–90. http://dx.doi.org/10.1109/mcc.2000.895110.

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3

Reddy, Parineeth M. "Embedded systems." Resonance 7, no. 12 (December 2002): 20–30. http://dx.doi.org/10.1007/bf02834526.

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4

Lee, B. H. "Embedded Internet Systems: Poised for Takeoff [Embedded Systems]." IEEE Internet Computing 2, no. 3 (May 1998): 24–29. http://dx.doi.org/10.1109/mic.1998.683796.

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5

Hickey, Patrick C., Lee Pike, Trevor Elliott, James Bielman, and John Launchbury. "Building embedded systems with embedded DSLs." ACM SIGPLAN Notices 49, no. 9 (November 26, 2014): 3–9. http://dx.doi.org/10.1145/2692915.2628146.

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6

Santo, S. "Embedded battle royal [embedded operating systems]." IEEE Spectrum 38, no. 12 (December 2001): 36–41. http://dx.doi.org/10.1109/6.969358.

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7

Sadiku, Matthew N. O., Yonghui Wang, Suxia Cui, and Sarhan M. Musa. "Embedded Computing Systems." International Journal of Scientific Engineering and Technology 6, no. 12 (2017): 361. http://dx.doi.org/10.5958/2277-1581.2017.00059.6.

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8

Bergamaschi, Reinaldo A. "Embedded Systems Week." IEEE Design & Test of Computers 24, no. 1 (January 2007): 102–3. http://dx.doi.org/10.1109/mdt.2007.13.

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9

Sami, Mariagiovanna, Miroslaw Malek, Umberto Bondi, and Francesco Regazzoni. "Embedded systems education." ACM SIGBED Review 14, no. 1 (January 5, 2017): 22–28. http://dx.doi.org/10.1145/3036686.3036689.

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10

Jackson, David Jeff, and Paul Caspi. "Embedded systems education." ACM SIGBED Review 2, no. 4 (October 2005): 1–4. http://dx.doi.org/10.1145/1121812.1121814.

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11

Karsai, Gabor, Fabio Massacci, Leon Osterweil, and Ina Schieferdecker. "Evolving Embedded Systems." Computer 43, no. 5 (May 2010): 34–40. http://dx.doi.org/10.1109/mc.2010.135.

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12

Eckert, Claudia. "Embedded systems security." Datenschutz und Datensicherheit - DuD 36, no. 12 (November 24, 2012): 861. http://dx.doi.org/10.1007/s11623-012-0289-x.

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13

Hwang, D. D., P. Schaumont, K. Tiri, and I. Verbauwhede. "Securing embedded systems." IEEE Security & Privacy Magazine 4, no. 2 (March 2006): 40–49. http://dx.doi.org/10.1109/msp.2006.51.

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14

Watzenig, Daniel, and Eric Armengaud. "Automotive Embedded Systems." e & i Elektrotechnik und Informationstechnik 128, no. 6 (June 2011): 189. http://dx.doi.org/10.1007/s00502-011-0011-1.

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15

Mojarad, Roghayeh, and Hamid R. Zarandi. "Markov-Based Anomaly Correction in Embedded Systems." International Journal of Computer Theory and Engineering 8, no. 4 (August 2016): 272–79. http://dx.doi.org/10.7763/ijcte.2016.v8.1057.

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16

Krainyk, Yaroslav. "Embedded Systems Multimedia Framework for Microcontroller Devices." Advances in Cyber-Physical Systems 8, no. 1 (May 10, 2023): 43–49. http://dx.doi.org/10.23939/acps2023.01.043.

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The presented paper attempts to establish a generalized approach to the development of embedded systems multimedia applications. It is formalized in the form of a framework that defines rules and recommenda- tions for a developer on how to implement specific pieces of software that work with multimedia data. The basis for the development process is the division of the system’s func- tionality into stages with the following development of each stage. The framework also defines how touch sensor events may be elaborated. The proposed framework has been tested in a test scenario in an application with multiple stages. The results proved that the solution is feasible for multimedia applications (specifically, with graphics proc- essing) and can be regarded as a generalized approach to the development of embedded systems with multimedia functionality.
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17

G.V. Chalapathi Rao, R. Devender, M. Sai Kumar, and V. Balaji. "INDUSTRIAL SAFETY SYSTEMS USING EMBEDDED SYSTEMS." international journal of engineering technology and management sciences 7, no. 3 (2023): 241–46. http://dx.doi.org/10.46647/ijetms.2023.v07i03.031.

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Fire alarm systems are essential in alerting people before fire engulfs their homes. However, fire alarm systems, today, require a lot of wiring and labour to be installed. This discourages users from installing them in their homes. The proposed system is an ad-hoc network that is distributed over the house. This system consists of a microcontroller (ESP32) connected to an infrared flame sensor that continuously senses the surrounding environment to detect the presence of fire. And also MQ2 and MQ135 gas sensors are used for the detection of smoke and other toxic gases and alert them as per the condition. The microcontrollers create their own Wi-Fi network. Once fire is detected by a sensor, it sends a signal to a microcontroller that is triggered to send an notification to the user and alert the house by producing a local alarm. The user can also get information about the status of his home.
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18

PRABHU, Dr S. R. BOSELIN, N. BALAKUMAR, and A. JOHNSON ANTONY. "Human Assistance Mechanism Using Real World Embedded Systems." International Journal of Innovative Research in Computer Science & Technology 5, no. 1 (January 31, 2017): 188–93. http://dx.doi.org/10.21276/ijircst.2017.5.1.3.

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19

Mulchandani, D. "Java for embedded systems." IEEE Internet Computing 2, no. 3 (1998): 30–39. http://dx.doi.org/10.1109/4236.683797.

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20

Madisetti, V. K., Y. K. Jung, M. H. Khan, J. Kim, and T. Finnessy. "Reengineering legacy embedded systems." IEEE Design & Test of Computers 16, no. 2 (1999): 38–47. http://dx.doi.org/10.1109/54.765202.

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21

Behere, Sagar, and Martin Törngren. "Educating embedded systems hackers." ACM SIGBED Review 14, no. 1 (January 5, 2017): 8–15. http://dx.doi.org/10.1145/3036686.3036687.

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22

Tao, Yong, Jindong Tan, Zili Shao, and Hongxing Wei. "Mechatronics and Embedded Systems." Advances in Mechanical Engineering 6 (January 1, 2014): 239452. http://dx.doi.org/10.1155/2014/239452.

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23

Katz, Daniel S., and Jeremy Kepner. "Embedded/Real-Time Systems." International Journal of High Performance Computing Applications 15, no. 2 (May 2001): 186–90. http://dx.doi.org/10.1177/109434200101500212.

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24

Kippenberger, T. "Wrestling with embedded systems." Antidote 4, no. 2 (May 1999): 20–23. http://dx.doi.org/10.1108/eum0000000006645.

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25

De Venuto, Daniela, and Thilo Sauter. "Foreword Embedded Sensor Systems." IEEE Transactions on Components, Packaging and Manufacturing Technology 8, no. 7 (July 2018): 1133–34. http://dx.doi.org/10.1109/tcpmt.2018.2850700.

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26

White, Randall L. "Reconfigurable embedded control systems." ACM SIGSOFT Software Engineering Notes 36, no. 5 (September 30, 2011): 53. http://dx.doi.org/10.1145/2020976.2021007.

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27

Vladimirova, Tanya, and Andrew Barth. "Microprocessor-Controlled Embedded Systems." IFAC Proceedings Volumes 31, no. 15 (June 1998): 313–18. http://dx.doi.org/10.1016/s1474-6670(17)40572-6.

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28

Dutt, Nikil, Axel Jantsch, and Santanu Sarma. "Toward Smart Embedded Systems." ACM Transactions on Embedded Computing Systems 15, no. 2 (June 7, 2016): 1–27. http://dx.doi.org/10.1145/2872936.

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29

Sun, H. "Programming for Embedded Systems." Computer Communications 27, no. 1 (January 2004): 143. http://dx.doi.org/10.1016/s0140-3664(03)00217-2.

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30

Crnkovic, Ivica, and Judith Stafford. "Embedded Systems Software Architecture." Journal of Systems Architecture 59, no. 10 (November 2013): 1013–14. http://dx.doi.org/10.1016/j.sysarc.2013.11.005.

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31

Müllerburg, M. "Software intensive embedded systems." Information and Software Technology 41, no. 14 (November 1999): 979–84. http://dx.doi.org/10.1016/s0950-5849(99)00072-5.

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32

Runciman, B. "The Embedded Systems Paradox." ITNOW 55, no. 2 (May 28, 2013): 51. http://dx.doi.org/10.1093/itnow/bwt024.

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33

Avresky, D. R., K. E. Grosspietsch, B. W. Johnson, and F. Lombardi. "Embedded Fault-Tolerant Systems." IEEE Micro 18, no. 5 (September 1998): 8–11. http://dx.doi.org/10.1109/mm.1998.735939.

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34

Avresky, D. R., F. Lombardi, K. E. Grosspietsch, and B. W. Johnson. "Fault-tolerant embedded systems." IEEE Micro 21, no. 5 (September 2001): 12–15. http://dx.doi.org/10.1109/mm.2001.958695.

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35

Moors, Ellen H. M., and Gerard P. J. Dijkema. "Embedded industrial production systems." Technological Forecasting and Social Change 73, no. 3 (March 2006): 250–65. http://dx.doi.org/10.1016/j.techfore.2004.03.006.

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36

Ravi, Srivaths, Anand Raghunathan, Paul Kocher, and Sunil Hattangady. "Security in embedded systems." ACM Transactions on Embedded Computing Systems 3, no. 3 (August 2004): 461–91. http://dx.doi.org/10.1145/1015047.1015049.

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37

Sullivan, Gaynor. "Embedded real-time systems." Microprocessors and Microsystems 17, no. 8 (October 1993): 499. http://dx.doi.org/10.1016/0141-9331(93)90037-8.

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38

Fleischmann, J., and K. Buchenrieder. "Prototyping networked embedded systems." Computer 32, no. 2 (1999): 116–19. http://dx.doi.org/10.1109/2.745726.

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39

Samid, Amnon. "Automated Embedded Payment Systems." International Journal of Embedded Systems and Applications 12, no. 1/2/3/4 (December 30, 2022): 01–13. http://dx.doi.org/10.5121/ijesa.2022.12401.

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Payment industry is largely aligned in their desire to create embedded payment systems ready for the modern digital age. The trend to embed payments into a software platform is often regarded as first step towards a broader trend of embedded finance based on digital representation of fiat currencies. Since it became clear to our research team that there are no technologies and protocols that are protected against attacks of quantum computing, and that enable automatic embedded payments, online or offline with no fear of counterfeit, P2P or device-to-device to be made in real time without intermediaries, in any denomination, even continuous payments per time or service, while preserving the privacy of all parties, without enabling illicit activities, we decided to utilize the Generic Innovation Engine [1] that is based on the Artificial Intelligence Assistance Innovation acceleration methodologies and tools in order to boost the progress of innovation of the necessary solutions. These methodologies accelerate innovation across the board. It proposes a framework for natural and artificial intelligence collaboration in pursuit of an innovative (R&D) objective The outcome of deploying these Artificial Innovation Assistant (AIA) methodologies was tens of patents that yield solutions, that a few of them are described in this paper. We argue that a promising avenue for automated embedded payment systems to fulfil people’s desire for privacy when conducting payments, and national security agencies demand for quantum-safe security, could be based on DeFi and digital currencies platforms that does not suffer from flaws of DLT-based solutions, while introducing real advantages, in all aspects, including being quantum-resilient, enabling users to decide with whom, if at all, to share information, identity, transactions details, etc., all without trade-offs, complying with AML measures, and accommodating the potential for high transaction volumes. It is not legacy bank accounts, and it is not peer-dependent, nor a self-organizing network.
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40

Pike, Lee, Nis Wegmann, Sebastian Niller, and Alwyn Goodloe. "Copilot: monitoring embedded systems." Innovations in Systems and Software Engineering 9, no. 4 (August 24, 2013): 235–55. http://dx.doi.org/10.1007/s11334-013-0223-x.

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41

Vlacic, Ljubisa B., Brendon Lilly, and Mathew Wiltshare. "Embedded Control Systems Laboratory." IFAC Proceedings Volumes 27, no. 9 (August 1994): 237–40. http://dx.doi.org/10.1016/s1474-6670(17)45939-8.

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42

Fummi, Franco, Mirko Loghi, Giovanni Perbellini, and Massimo Poncino. "SystemC co-simulation for core-based embedded systems." Design Automation for Embedded Systems 11, no. 2-3 (September 2007): 141–66. http://dx.doi.org/10.1007/s10617-007-9006-7.

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43

Boyer, Adrian. "What is Systems Engineering for Embedded Systems?" INCOSE International Symposium 18, no. 1 (June 2008): 2071–87. http://dx.doi.org/10.1002/j.2334-5837.2008.tb00919.x.

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44

Chakraborty, Pratic. "Embedded Machine Learning and Embedded Systems in the Industry." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (November 30, 2021): 1872–75. http://dx.doi.org/10.22214/ijraset.2021.39067.

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Abstract: Machine learning is the buzz word right now. With the machine learning algorithms one can make a computer differentiate between a human and a cow. Can detect objects, can predict different parameters and can process our native languages. But all these algorithms require a fair amount of processing power in order to be trained and fitted as a model. Thankfully, with the current improvement in technology, processing power of computers have significantly increased. But there is a limitation in power consumption and deployability of a server computer. This is where “tinyML” helps the industry out. Machine Learning has never been so easy to access before!
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45

Talawar, Arun K., Sunita S. Malaj, and Raju Hiremath. "An Analysis of : Embedded Systems in Embedded Processors Knack." Gyan Management Journal 17, no. 1 (March 6, 2023): 78–84. http://dx.doi.org/10.48165/gmj.2022.17.1.9.

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The mechanisms via way of means of which software program interacts with the bodily international are converting rapidly. Today’s fashion is “smart” sensors and drives with microprocessors, community interfaces and software program that permit far flung get entry to to sensor records and far flung unit activation. There is likewise the Internet of Things (IoT), Industry 4.0, Industrial Internet, Machine to Machine, Internet of Everything, Smart Planet, TSensors (trillions of sensors) or Fog (similar, however towards the cloud). Earth is an expression of era that deeply connects our bodily and informational worlds. In the IoT international, the interfaces among those worlds are stimulated and derived from statistics era, specially net era. Our recognition is on interacting with the bodily surroundings wherein software program and hardware operate. This calls for a unique modeling of the time dynamics of the software program and networks and a clean specification of the parallel nature of the application. The truth that implementation era has now no longer but reached this factor need to now no longer educate a incorrect technonical approach. All need to learn design and modeling and enrich them with a critical reflection on what it is. Today’s embedded systems technology should be presented in a neutral way, not as a collection of facts and tricks, as in many of the recent trends in, but as a cornerstone to a better design experience.
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46

K, Jyothi. "Cloud Connectivity for Embedded Systems." International Journal of Advanced Trends in Computer Science and Engineering 8, no. 3 (June 25, 2019): 731–33. http://dx.doi.org/10.30534/ijatcse/2019/61832019.

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47

Kelemen, Michal, Erik Prada, Tatiana Kelemenova, Lubica Miková, Ivan Virgala, and Tomáš Lipták. "Embedded Systems via Using Microcontroller." Applied Mechanics and Materials 816 (November 2015): 248–54. http://dx.doi.org/10.4028/www.scientific.net/amm.816.248.

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Paper deals with microcontrollers which are embedded inside the mechatronic products. Main purpose is to obtain intelligent behavior of products and adding of new functions to products. Paper shows steps to data capturing into microcontroller for data processing and using as feedback control of processes around the products.
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48

Axer, Philip, Rolf Ernst, Heiko Falk, Alain Girault, Daniel Grund, Nan Guan, Bengt Jonsson, et al. "Building timing predictable embedded systems." ACM Transactions on Embedded Computing Systems 13, no. 4 (December 5, 2014): 1–37. http://dx.doi.org/10.1145/2560033.

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49

Takala, Jarmo, Shuvra S. Bhattacharyya, and Gang Qu. "Embedded Digital Signal Processing Systems." EURASIP Journal on Embedded Systems 2007 (2007): 1. http://dx.doi.org/10.1155/2007/27517.

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50

Bouaziz, Samir, Paolo Lombardi, Roger Reynaud, and Gunasekaran S. Seetharaman. "Embedded Systems for Intelligent Vehicles." EURASIP Journal on Embedded Systems 2007 (2007): 1–4. http://dx.doi.org/10.1155/2007/29239.

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