The Experts below are selected from a list of 4752 Experts worldwide ranked by ideXlab platform
João Gabriel Silva - One of the best experts on this subject based on the ideXlab platform.
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rifle a general purpose pin level Fault injector
European Dependable Computing Conference, 1994Co-Authors: Henrique Madeira, Francisco Moreira, Mário Zenha Rela, João Gabriel SilvaAbstract:This paper discusses the problems of pin-level Fault injection for dependability validation and presents the architecture of a pin-level Fault injector called RIFLE. This system can be adapted to a wide range of target systems and the Faults are mainly Injected in the processor pins. The injection of the Faults is deterministic and can be reproduced if needed. Faults of different nature can be Injected and the Fault injector is able to detect whether the Injected Fault has produced an error or not without the requirement of feedback circuits. RIFLE can also detect specific circumstances in which the Injected Faults do not affect the target system. Sets of Faults with specific impact on the target system can be generated. The paper also presents Fault injection results showing the coverage and latency achieved with a set of simple behavior based error detection mechanisms. It is shown that up to 72,5% of the errors can be detected with fairly simple mechanisms. Furthermore, for over 90% of the Faults the target system has behaved according to the fail-silent model, which suggests that a traditional computer equipped with simple error detection mechanisms is relatively close to a fail-silent computer.
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EDCC - RIFLE: A General Purpose Pin-level Fault Injector
Dependable Computing — EDCC-1, 1994Co-Authors: Henrique Madeira, Francisco Moreira, Mário Zenha Rela, João Gabriel SilvaAbstract:This paper discusses the problems of pin-level Fault injection for dependability validation and presents the architecture of a pin-level Fault injector called RIFLE. This system can be adapted to a wide range of target systems and the Faults are mainly Injected in the processor pins. The injection of the Faults is deterministic and can be reproduced if needed. Faults of different nature can be Injected and the Fault injector is able to detect whether the Injected Fault has produced an error or not without the requirement of feedback circuits. RIFLE can also detect specific circumstances in which the Injected Faults do not affect the target system. Sets of Faults with specific impact on the target system can be generated. The paper also presents Fault injection results showing the coverage and latency achieved with a set of simple behavior based error detection mechanisms. It is shown that up to 72,5% of the errors can be detected with fairly simple mechanisms. Furthermore, for over 90% of the Faults the target system has behaved according to the fail-silent model, which suggests that a traditional computer equipped with simple error detection mechanisms is relatively close to a fail-silent computer.
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EDCC - RIFLE: A General Purpose Pin-level Fault Injector
Dependable Computing — EDCC-1, 1994Co-Authors: Henrique Madeira, Francisco Moreira, Mário Zenha Rela, João Gabriel SilvaAbstract:This paper discusses the problems of pin-level Fault injection for dependability validation and presents the architecture of a pin-level Fault injector called RIFLE. This system can be adapted to a wide range of target systems and the Faults are mainly Injected in the processor pins. The injection of the Faults is deterministic and can be reproduced if needed. Faults of different nature can be Injected and the Fault injector is able to detect whether the Injected Fault has produced an error or not without the requirement of feedback circuits. RIFLE can also detect specific circumstances in which the Injected Faults do not affect the target system. Sets of Faults with specific impact on the target system can be generated. The paper also presents Fault injection results showing the coverage and latency achieved with a set of simple behavior based error detection mechanisms. It is shown that up to 72,5% of the errors can be detected with fairly simple mechanisms. Furthermore, for over 90% of the Faults the target system has behaved according to the fail-silent model, which suggests that a traditional computer equipped with simple error detection mechanisms is relatively close to a fail-silent computer.
Henrique Madeira - One of the best experts on this subject based on the ideXlab platform.
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rifle a general purpose pin level Fault injector
European Dependable Computing Conference, 1994Co-Authors: Henrique Madeira, Francisco Moreira, Mário Zenha Rela, João Gabriel SilvaAbstract:This paper discusses the problems of pin-level Fault injection for dependability validation and presents the architecture of a pin-level Fault injector called RIFLE. This system can be adapted to a wide range of target systems and the Faults are mainly Injected in the processor pins. The injection of the Faults is deterministic and can be reproduced if needed. Faults of different nature can be Injected and the Fault injector is able to detect whether the Injected Fault has produced an error or not without the requirement of feedback circuits. RIFLE can also detect specific circumstances in which the Injected Faults do not affect the target system. Sets of Faults with specific impact on the target system can be generated. The paper also presents Fault injection results showing the coverage and latency achieved with a set of simple behavior based error detection mechanisms. It is shown that up to 72,5% of the errors can be detected with fairly simple mechanisms. Furthermore, for over 90% of the Faults the target system has behaved according to the fail-silent model, which suggests that a traditional computer equipped with simple error detection mechanisms is relatively close to a fail-silent computer.
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EDCC - RIFLE: A General Purpose Pin-level Fault Injector
Dependable Computing — EDCC-1, 1994Co-Authors: Henrique Madeira, Francisco Moreira, Mário Zenha Rela, João Gabriel SilvaAbstract:This paper discusses the problems of pin-level Fault injection for dependability validation and presents the architecture of a pin-level Fault injector called RIFLE. This system can be adapted to a wide range of target systems and the Faults are mainly Injected in the processor pins. The injection of the Faults is deterministic and can be reproduced if needed. Faults of different nature can be Injected and the Fault injector is able to detect whether the Injected Fault has produced an error or not without the requirement of feedback circuits. RIFLE can also detect specific circumstances in which the Injected Faults do not affect the target system. Sets of Faults with specific impact on the target system can be generated. The paper also presents Fault injection results showing the coverage and latency achieved with a set of simple behavior based error detection mechanisms. It is shown that up to 72,5% of the errors can be detected with fairly simple mechanisms. Furthermore, for over 90% of the Faults the target system has behaved according to the fail-silent model, which suggests that a traditional computer equipped with simple error detection mechanisms is relatively close to a fail-silent computer.
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EDCC - RIFLE: A General Purpose Pin-level Fault Injector
Dependable Computing — EDCC-1, 1994Co-Authors: Henrique Madeira, Francisco Moreira, Mário Zenha Rela, João Gabriel SilvaAbstract:This paper discusses the problems of pin-level Fault injection for dependability validation and presents the architecture of a pin-level Fault injector called RIFLE. This system can be adapted to a wide range of target systems and the Faults are mainly Injected in the processor pins. The injection of the Faults is deterministic and can be reproduced if needed. Faults of different nature can be Injected and the Fault injector is able to detect whether the Injected Fault has produced an error or not without the requirement of feedback circuits. RIFLE can also detect specific circumstances in which the Injected Faults do not affect the target system. Sets of Faults with specific impact on the target system can be generated. The paper also presents Fault injection results showing the coverage and latency achieved with a set of simple behavior based error detection mechanisms. It is shown that up to 72,5% of the errors can be detected with fairly simple mechanisms. Furthermore, for over 90% of the Faults the target system has behaved according to the fail-silent model, which suggests that a traditional computer equipped with simple error detection mechanisms is relatively close to a fail-silent computer.
Francisco Moreira - One of the best experts on this subject based on the ideXlab platform.
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rifle a general purpose pin level Fault injector
European Dependable Computing Conference, 1994Co-Authors: Henrique Madeira, Francisco Moreira, Mário Zenha Rela, João Gabriel SilvaAbstract:This paper discusses the problems of pin-level Fault injection for dependability validation and presents the architecture of a pin-level Fault injector called RIFLE. This system can be adapted to a wide range of target systems and the Faults are mainly Injected in the processor pins. The injection of the Faults is deterministic and can be reproduced if needed. Faults of different nature can be Injected and the Fault injector is able to detect whether the Injected Fault has produced an error or not without the requirement of feedback circuits. RIFLE can also detect specific circumstances in which the Injected Faults do not affect the target system. Sets of Faults with specific impact on the target system can be generated. The paper also presents Fault injection results showing the coverage and latency achieved with a set of simple behavior based error detection mechanisms. It is shown that up to 72,5% of the errors can be detected with fairly simple mechanisms. Furthermore, for over 90% of the Faults the target system has behaved according to the fail-silent model, which suggests that a traditional computer equipped with simple error detection mechanisms is relatively close to a fail-silent computer.
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EDCC - RIFLE: A General Purpose Pin-level Fault Injector
Dependable Computing — EDCC-1, 1994Co-Authors: Henrique Madeira, Francisco Moreira, Mário Zenha Rela, João Gabriel SilvaAbstract:This paper discusses the problems of pin-level Fault injection for dependability validation and presents the architecture of a pin-level Fault injector called RIFLE. This system can be adapted to a wide range of target systems and the Faults are mainly Injected in the processor pins. The injection of the Faults is deterministic and can be reproduced if needed. Faults of different nature can be Injected and the Fault injector is able to detect whether the Injected Fault has produced an error or not without the requirement of feedback circuits. RIFLE can also detect specific circumstances in which the Injected Faults do not affect the target system. Sets of Faults with specific impact on the target system can be generated. The paper also presents Fault injection results showing the coverage and latency achieved with a set of simple behavior based error detection mechanisms. It is shown that up to 72,5% of the errors can be detected with fairly simple mechanisms. Furthermore, for over 90% of the Faults the target system has behaved according to the fail-silent model, which suggests that a traditional computer equipped with simple error detection mechanisms is relatively close to a fail-silent computer.
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EDCC - RIFLE: A General Purpose Pin-level Fault Injector
Dependable Computing — EDCC-1, 1994Co-Authors: Henrique Madeira, Francisco Moreira, Mário Zenha Rela, João Gabriel SilvaAbstract:This paper discusses the problems of pin-level Fault injection for dependability validation and presents the architecture of a pin-level Fault injector called RIFLE. This system can be adapted to a wide range of target systems and the Faults are mainly Injected in the processor pins. The injection of the Faults is deterministic and can be reproduced if needed. Faults of different nature can be Injected and the Fault injector is able to detect whether the Injected Fault has produced an error or not without the requirement of feedback circuits. RIFLE can also detect specific circumstances in which the Injected Faults do not affect the target system. Sets of Faults with specific impact on the target system can be generated. The paper also presents Fault injection results showing the coverage and latency achieved with a set of simple behavior based error detection mechanisms. It is shown that up to 72,5% of the errors can be detected with fairly simple mechanisms. Furthermore, for over 90% of the Faults the target system has behaved according to the fail-silent model, which suggests that a traditional computer equipped with simple error detection mechanisms is relatively close to a fail-silent computer.
Mário Zenha Rela - One of the best experts on this subject based on the ideXlab platform.
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rifle a general purpose pin level Fault injector
European Dependable Computing Conference, 1994Co-Authors: Henrique Madeira, Francisco Moreira, Mário Zenha Rela, João Gabriel SilvaAbstract:This paper discusses the problems of pin-level Fault injection for dependability validation and presents the architecture of a pin-level Fault injector called RIFLE. This system can be adapted to a wide range of target systems and the Faults are mainly Injected in the processor pins. The injection of the Faults is deterministic and can be reproduced if needed. Faults of different nature can be Injected and the Fault injector is able to detect whether the Injected Fault has produced an error or not without the requirement of feedback circuits. RIFLE can also detect specific circumstances in which the Injected Faults do not affect the target system. Sets of Faults with specific impact on the target system can be generated. The paper also presents Fault injection results showing the coverage and latency achieved with a set of simple behavior based error detection mechanisms. It is shown that up to 72,5% of the errors can be detected with fairly simple mechanisms. Furthermore, for over 90% of the Faults the target system has behaved according to the fail-silent model, which suggests that a traditional computer equipped with simple error detection mechanisms is relatively close to a fail-silent computer.
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EDCC - RIFLE: A General Purpose Pin-level Fault Injector
Dependable Computing — EDCC-1, 1994Co-Authors: Henrique Madeira, Francisco Moreira, Mário Zenha Rela, João Gabriel SilvaAbstract:This paper discusses the problems of pin-level Fault injection for dependability validation and presents the architecture of a pin-level Fault injector called RIFLE. This system can be adapted to a wide range of target systems and the Faults are mainly Injected in the processor pins. The injection of the Faults is deterministic and can be reproduced if needed. Faults of different nature can be Injected and the Fault injector is able to detect whether the Injected Fault has produced an error or not without the requirement of feedback circuits. RIFLE can also detect specific circumstances in which the Injected Faults do not affect the target system. Sets of Faults with specific impact on the target system can be generated. The paper also presents Fault injection results showing the coverage and latency achieved with a set of simple behavior based error detection mechanisms. It is shown that up to 72,5% of the errors can be detected with fairly simple mechanisms. Furthermore, for over 90% of the Faults the target system has behaved according to the fail-silent model, which suggests that a traditional computer equipped with simple error detection mechanisms is relatively close to a fail-silent computer.
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EDCC - RIFLE: A General Purpose Pin-level Fault Injector
Dependable Computing — EDCC-1, 1994Co-Authors: Henrique Madeira, Francisco Moreira, Mário Zenha Rela, João Gabriel SilvaAbstract:This paper discusses the problems of pin-level Fault injection for dependability validation and presents the architecture of a pin-level Fault injector called RIFLE. This system can be adapted to a wide range of target systems and the Faults are mainly Injected in the processor pins. The injection of the Faults is deterministic and can be reproduced if needed. Faults of different nature can be Injected and the Fault injector is able to detect whether the Injected Fault has produced an error or not without the requirement of feedback circuits. RIFLE can also detect specific circumstances in which the Injected Faults do not affect the target system. Sets of Faults with specific impact on the target system can be generated. The paper also presents Fault injection results showing the coverage and latency achieved with a set of simple behavior based error detection mechanisms. It is shown that up to 72,5% of the errors can be detected with fairly simple mechanisms. Furthermore, for over 90% of the Faults the target system has behaved according to the fail-silent model, which suggests that a traditional computer equipped with simple error detection mechanisms is relatively close to a fail-silent computer.
Samuel T.n. - One of the best experts on this subject based on the ideXlab platform.
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Hybrid signal processing and machine learning algorithm for adaptive Fault classification of wind farm integrated transmission line protection
'Penerbit UTHM', 2019Co-Authors: Emmanue O., Othman M.l., Hizam H., Othman M.m., Aker E., Okeke Chidiebere A., Samuel T.n.Abstract:The technological advancement in integration of Renewable Green Energy Sources (RGES) like Wind Farm Generators (WFG), and Photovoltaic (PV) system into conventional power system as a future solution to meet the increase in global energy demands in order to reduce the cost of power generation, and improve on the climate change impact. This innovation also introduces challenges in the power system protection by it being compromised due to Injected Fault current infeeds on existing facilities. These infeed lead to the undesired trip of a healthy section of the line, and protection system failure. This paper presents a soft computational approach to adaptive Fault classification model on High Voltage Transmission Line (HVTL) with and without RGES-WFG integration topologies, using extracted one-cycle Fault signature of voltage and current signals with wavelet statistical approach in Matlab. The results are unique signatures across all Fault types and Fault distances with distinct entropy energy values on proposed network architecture. The supervised machine learning algorithm from Bayesian network classified 99.15 Faults correctly with the operation time of 0.01 s to produced best-generalized model with an RMS error value of 0.05 for single line-to-ground (SLG) Fault identification and classification. Best suitable for adaptive unit protection scheme integration. © Universiti Tun Hussein Onn Malaysia Publisher's Office