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of 50
pro vyhledávání: '"Kianoosh G. Boroojeni"'
Publikováno v:
International Journal of Critical Infrastructure Protection. 24:111-125
Supervisory Control and Data Acquisition (SCADA) systems are used in major industries to achieve greater levels of efficiency, safety and quality. Due to massive security attacks, securing such systems is a critical issue. In order to secure the comm
Publikováno v:
Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm ISBN: 9783030331313
Over the past two decades machine learning has become one of the mainstays of information technology and with that, a rather central, albeit usually hidden, part of our life. With the ever increasing amounts of data becoming available there is good r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a791fceed7c781610579fb187c91834
https://doi.org/10.1007/978-3-030-33132-0_8
https://doi.org/10.1007/978-3-030-33132-0_8
Publikováno v:
Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm ISBN: 9783030331313
The evolution of sensory devices and the advancements in wireless communication and digital electronics, brought about a revolution in the way sensor nodes are designed and utilized. The communication mechanism has also seen a complete makeover. Mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c39e403c6e73c9b87e17ca13a1008cba
https://doi.org/10.1007/978-3-030-33132-0_1
https://doi.org/10.1007/978-3-030-33132-0_1
Publikováno v:
Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm ISBN: 9783030331313
Sensors have limited precision and accuracy. They extract data from the physical environment, which contains noise. The goal of sensor fusion is to make the final decision robust, minimizing the influence of noise and system errors. One problem that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::508293aa719238665e3d5787a221a055
https://doi.org/10.1007/978-3-030-33132-0_4
https://doi.org/10.1007/978-3-030-33132-0_4
Publikováno v:
Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm ISBN: 9783030331313
In a moving train, the acceleration and deceleration adversely affects the sensor systems, which may induce errors into the system. Today’s technology does not guarantee success and safety in all situations. There are two important situations that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16b93ae244834b44d53bbdcebbf13ac8
https://doi.org/10.1007/978-3-030-33132-0_6
https://doi.org/10.1007/978-3-030-33132-0_6
Publikováno v:
Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm ISBN: 9783030331313
Fault tolerant computer systems are systems designed around the concepts of fault tolerance. In essence, they must be able to continue working to a level of satisfaction in the presence of faults. Fault tolerance is not just a property of individual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::211323e892ac725d072a99c54622db79
https://doi.org/10.1007/978-3-030-33132-0_3
https://doi.org/10.1007/978-3-030-33132-0_3
Publikováno v:
Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm ISBN: 9783030331313
The real-time distributed systems predominantly rely on the time at which the correctness of results is obtained. More specifically, the core consideration is the time limitation with the running tasks, process, and threads of the system. Furthermore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03c27b7e6c8202c66d157c985b2bc492
https://doi.org/10.1007/978-3-030-33132-0_10
https://doi.org/10.1007/978-3-030-33132-0_10
Publikováno v:
Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm ISBN: 9783030331313
The Brooks–Iyengar hybrid algorithm for distributed control in the presence of noisy data combines Byzantine agreement with sensor fusion. It bridges the gap between sensor fusion and Byzantine fault tolerance. This seminal algorithm unified these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9302b0bf59e7bd91694a153b3d949db
https://doi.org/10.1007/978-3-030-33132-0_5
https://doi.org/10.1007/978-3-030-33132-0_5
Publikováno v:
Fundamentals of Brooks–Iyengar Distributed Sensing Algorithm ISBN: 9783030331313
In this chapter, we discuss the implementation details of a deep-learning neural network (DNN) with nodes having the Brooks–Iyengar algorithms running on a chip (or a single chip computer) that can provide efficient and scalable fault tolerant syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2d432e1485ff016d5dc4385e0f4d585
https://doi.org/10.1007/978-3-030-33132-0_9
https://doi.org/10.1007/978-3-030-33132-0_9