Pub Date : 2018-11-01DOI: 10.1109/ICSRS.2018.8688724
Ahmed A. Abdelrahman, H. Dahshan, Goda Ismaeel Salama
The Advanced Encryption Standard (AES) is strongly used in different security levels of data communication as it has higher efficiency and stronger security compared with other encryption algorithms. Graphics Processing Unit (GPU) is one of the most important platforms used for enhancing AES algorithm Performance. Unfortunately, the AES actual throughput Over GPU can hardly improve Due to the CPU-GPU data transfer overhead. In this paper, the AES-ECB algorithm is implemented on NVIDIA GTX 1080 (Pascal architecture). We used Two different techniques to overcome data transfer overhead including the streaming technique and unified memory technique. Our results show that the actual throughput of the AES using the streaming technique equals 80Gbps which is about 2 times greater than using the unified memory technique. Furthermore, we achieved 280 Gbps Kernel throughput using 32bytes/thread granularity and shared memory key storage.
{"title":"Enhancing the Actual Throughput of the AES Algorithm on the Pascal GPU Architecture","authors":"Ahmed A. Abdelrahman, H. Dahshan, Goda Ismaeel Salama","doi":"10.1109/ICSRS.2018.8688724","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688724","url":null,"abstract":"The Advanced Encryption Standard (AES) is strongly used in different security levels of data communication as it has higher efficiency and stronger security compared with other encryption algorithms. Graphics Processing Unit (GPU) is one of the most important platforms used for enhancing AES algorithm Performance. Unfortunately, the AES actual throughput Over GPU can hardly improve Due to the CPU-GPU data transfer overhead. In this paper, the AES-ECB algorithm is implemented on NVIDIA GTX 1080 (Pascal architecture). We used Two different techniques to overcome data transfer overhead including the streaming technique and unified memory technique. Our results show that the actual throughput of the AES using the streaming technique equals 80Gbps which is about 2 times greater than using the unified memory technique. Furthermore, we achieved 280 Gbps Kernel throughput using 32bytes/thread granularity and shared memory key storage.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125492513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICSRS.2018.8688716
Hoang-Phuong Nguyen, W. Fauriat, E. Zio, Jie Liu
The reliability of steam generators in nuclear power plants has always been a challenging issue. Various diagnostic models have been proposed in the literature. However, no work has been reported on the development of a robust prediction model for forecasting the future health state of steam generators. In this paper, we propose an ARIMA-based prognostic approach for tracking the degradation evolution in a steam generator and further predicting its Remaining Useful Life (RUL) before breakdown. A case study concerning real degradation datasets from different steam generators is extensively investigated to validate the performance of the proposed model.
{"title":"A Data-Driven Approach for Predicting the Remaining Useful Life of Steam Generators","authors":"Hoang-Phuong Nguyen, W. Fauriat, E. Zio, Jie Liu","doi":"10.1109/ICSRS.2018.8688716","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688716","url":null,"abstract":"The reliability of steam generators in nuclear power plants has always been a challenging issue. Various diagnostic models have been proposed in the literature. However, no work has been reported on the development of a robust prediction model for forecasting the future health state of steam generators. In this paper, we propose an ARIMA-based prognostic approach for tracking the degradation evolution in a steam generator and further predicting its Remaining Useful Life (RUL) before breakdown. A case study concerning real degradation datasets from different steam generators is extensively investigated to validate the performance of the proposed model.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131688124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICSRS.2018.8688825
Z. Haider, B. Gallina, Enrique Zornoza Moreno
Dependability-critical systems (e.g., space systems) need to be engineered according to dependability standards (e.g. ECSS standards), which require the application of various dependability analyses, including Fault Tree Analysis (FTA). Due to the complex nature of such systems, conducting FTA may turn out to be time-consuming and error prone. Thus, automation is highly desirable. In this paper, we build on top of our previous work and we propose FLA2FT, a tool-supported Fault Tree (FT) generation from ConcertoFLA results. More specifically, we integrate FTA in a well-established existing system modeling and analysis methodology to generate FT automatically using model transformations. To illustrate the usage of FLA2FT, we apply it to the space domain and automate the generation of ECSS-compliant FTs for an Attitude Control System (ACS). Finally, we draw our conclusions and sketch future work.
{"title":"FLA2FT: Automatic Generation of Fault Tree from ConcertoFLA Results","authors":"Z. Haider, B. Gallina, Enrique Zornoza Moreno","doi":"10.1109/ICSRS.2018.8688825","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688825","url":null,"abstract":"Dependability-critical systems (e.g., space systems) need to be engineered according to dependability standards (e.g. ECSS standards), which require the application of various dependability analyses, including Fault Tree Analysis (FTA). Due to the complex nature of such systems, conducting FTA may turn out to be time-consuming and error prone. Thus, automation is highly desirable. In this paper, we build on top of our previous work and we propose FLA2FT, a tool-supported Fault Tree (FT) generation from ConcertoFLA results. More specifically, we integrate FTA in a well-established existing system modeling and analysis methodology to generate FT automatically using model transformations. To illustrate the usage of FLA2FT, we apply it to the space domain and automate the generation of ECSS-compliant FTs for an Attitude Control System (ACS). Finally, we draw our conclusions and sketch future work.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133492098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICSRS.2018.8688718
Hongping Wang, Yiping Fang, E. Zio
With the increasing penetration of electric vehicles in the transportation system, more and more interactions appear between the transportation and power systems. This requires considering the impact of disturbances in the electrified transportation system onto the stability of the power system. This paper addresses this issue by proposing a method based on a cell transmission model (CTM) of the electrified transportation system and an alternative current (AC) model of the power system. Specifically, CTM is used to simulate the dynamic realtime traffic under congestion disturbances and evaluate the charging demands in the areas of the electrified transportation system. The charging demands are input to the AC model of the power system to calculate the fluctuations in power flow distributions. The proposed method can simulate the dynamic interactions between the electrified transportation system and the power system, and quantitatively measure the impacts of traffic disturbances on the stability of the power system. A numerical example is used to illustrate the proposed method.
{"title":"Risk Assessment of Electrical Power Systems Considering Traffic Congestion","authors":"Hongping Wang, Yiping Fang, E. Zio","doi":"10.1109/ICSRS.2018.8688718","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688718","url":null,"abstract":"With the increasing penetration of electric vehicles in the transportation system, more and more interactions appear between the transportation and power systems. This requires considering the impact of disturbances in the electrified transportation system onto the stability of the power system. This paper addresses this issue by proposing a method based on a cell transmission model (CTM) of the electrified transportation system and an alternative current (AC) model of the power system. Specifically, CTM is used to simulate the dynamic realtime traffic under congestion disturbances and evaluate the charging demands in the areas of the electrified transportation system. The charging demands are input to the AC model of the power system to calculate the fluctuations in power flow distributions. The proposed method can simulate the dynamic interactions between the electrified transportation system and the power system, and quantitatively measure the impacts of traffic disturbances on the stability of the power system. A numerical example is used to illustrate the proposed method.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121739449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICSRS.2018.8688877
W. Fauriat, E. Zio
Importance measures have been used extensively to support risk-informed decision making. The purpose of such metrics is to help achieve safe and efficient design, maintenance and operation of assets in industrial sectors. In parallel, Value of Information (VoI), a concept at the junction of the fields of decision theory and Bayesian theory, has been used to define cost-efficient inspection policies, in particular in Structural Health Monitoring (SHM). This paper discusses the use of importance measures in a decision context that includes cost, maintenance and inspection, with the objective of defining infrastructure management policies. More specifically, it focuses on the use of VoI for the identification of components or groups of components that may be particularly ‘information-relevant’ in a given decision context.
{"title":"An Importance Measure to Assess the Value of a Component Inspection Policy","authors":"W. Fauriat, E. Zio","doi":"10.1109/ICSRS.2018.8688877","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688877","url":null,"abstract":"Importance measures have been used extensively to support risk-informed decision making. The purpose of such metrics is to help achieve safe and efficient design, maintenance and operation of assets in industrial sectors. In parallel, Value of Information (VoI), a concept at the junction of the fields of decision theory and Bayesian theory, has been used to define cost-efficient inspection policies, in particular in Structural Health Monitoring (SHM). This paper discusses the use of importance measures in a decision context that includes cost, maintenance and inspection, with the objective of defining infrastructure management policies. More specifically, it focuses on the use of VoI for the identification of components or groups of components that may be particularly ‘information-relevant’ in a given decision context.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121764860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/icsrs.2018.8688885
{"title":"2018 3rd International Conference on System Reliability and Safety (ICSRS) ICSRS 2018","authors":"","doi":"10.1109/icsrs.2018.8688885","DOIUrl":"https://doi.org/10.1109/icsrs.2018.8688885","url":null,"abstract":"","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121889161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICSRS.2018.8688835
M. Woch, M. Zieja, J. Tomaszewska
This contribution intends to present procedures for Single Flight Probability of Failure calculations. Described mathematical models were the basis for creation of the original software Aircraft Structural Reliability Assessment (AStRAss), that allows comprehensive reliability calculations of the point of aircraft structure under real operating conditions. The theme of the paper is to present the sensitivity of failure rate to the input data, such as initial crack size distribution, stress intensity factor, stress, crack size and crack growth curve.
{"title":"The Impact of Input Parameters on the Reliability of Aircraft","authors":"M. Woch, M. Zieja, J. Tomaszewska","doi":"10.1109/ICSRS.2018.8688835","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688835","url":null,"abstract":"This contribution intends to present procedures for Single Flight Probability of Failure calculations. Described mathematical models were the basis for creation of the original software Aircraft Structural Reliability Assessment (AStRAss), that allows comprehensive reliability calculations of the point of aircraft structure under real operating conditions. The theme of the paper is to present the sensitivity of failure rate to the input data, such as initial crack size distribution, stress intensity factor, stress, crack size and crack growth curve.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"374 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127584594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICSRS.2018.8688839
Lucas Kirschbaum, F. Dinmohammadi, D. Flynn, V. Robu, M. Pecht
In this paper, failure analysis of an electromagnetic relay is studied to inform embedded health monitoring for the prediction of Remaining Useful Life (RUL) of electromagnetic relays. A statistical design of experiment with online monitoring of voltage, current, temperature, resistance, duty cycle, and frequency is used to identify relay failure precursors. Examples of detected precursors include abnormal spikes in resistance and extension of the average closing time of the relay within the final 1.5 million actuations prior to failure. A detailed post-failure analysis utilising white light interferometry and energy dispersive X-ray (EDX) analysis reveals the relay failure modes associated with erosion, pit and crater formation, and material transfer. The results demonstrate that low resolution data can detect signatures of impending failure modes such as stuck open and closed failures as well as unacceptable long opening times. The findings within this paper demonstrate remote monitoring of the near real-time health of electromagnetic relays with low resolution data analysis.
{"title":"Failure Analysis Informing Embedded Health Monitoring of Electromagnetic Relays","authors":"Lucas Kirschbaum, F. Dinmohammadi, D. Flynn, V. Robu, M. Pecht","doi":"10.1109/ICSRS.2018.8688839","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688839","url":null,"abstract":"In this paper, failure analysis of an electromagnetic relay is studied to inform embedded health monitoring for the prediction of Remaining Useful Life (RUL) of electromagnetic relays. A statistical design of experiment with online monitoring of voltage, current, temperature, resistance, duty cycle, and frequency is used to identify relay failure precursors. Examples of detected precursors include abnormal spikes in resistance and extension of the average closing time of the relay within the final 1.5 million actuations prior to failure. A detailed post-failure analysis utilising white light interferometry and energy dispersive X-ray (EDX) analysis reveals the relay failure modes associated with erosion, pit and crater formation, and material transfer. The results demonstrate that low resolution data can detect signatures of impending failure modes such as stuck open and closed failures as well as unacceptable long opening times. The findings within this paper demonstrate remote monitoring of the near real-time health of electromagnetic relays with low resolution data analysis.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121526721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/icsrs.2018.8688863
{"title":"Message from the Chairs ICSRS 2018","authors":"","doi":"10.1109/icsrs.2018.8688863","DOIUrl":"https://doi.org/10.1109/icsrs.2018.8688863","url":null,"abstract":"","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130997968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/ICSRS.2018.8688864
R. Macasaet
Axiom Practice Management (AXPM) is a Software as a Service (SaaS) company that caters to the United States healthcare industry. The software is developed with the Scrum Framework, a popular Agile practice used nowadays. The authors of the Scrum Framework state that if you attempt to modify or change it, you will end up with “Scrumbut” and will not be able to take full advantage of what the framework has to offer. Even if AXPM has been successful with Scrum since we started using it, we risked modifying the framework to see what would happen in the hopes of continuously improving our performance. In this paper, we propose Just-in-Time Demos in the Scrum Framework and then present an Action Research report, narrating what happened after its application in an industrial context.
Axiom Practice Management (AXPM)是一家面向美国医疗保健行业的软件即服务(SaaS)公司。该软件是在Scrum框架下开发的，Scrum框架是当今流行的敏捷实践。Scrum框架的作者指出，如果你试图修改或改变它，你将以“Scrum”结束，并且将无法充分利用框架所提供的功能。即使自从我们开始使用Scrum以来，AXPM已经成功地使用了它，我们也冒着修改框架的风险，看看会发生什么，希望不断提高我们的性能。在本文中，我们提出了Scrum框架中的即时演示，然后提出了一份行动研究报告，叙述了在工业环境中应用后发生的事情。
{"title":"Just in Time Demos in the Scrum Framework","authors":"R. Macasaet","doi":"10.1109/ICSRS.2018.8688864","DOIUrl":"https://doi.org/10.1109/ICSRS.2018.8688864","url":null,"abstract":"Axiom Practice Management (AXPM) is a Software as a Service (SaaS) company that caters to the United States healthcare industry. The software is developed with the Scrum Framework, a popular Agile practice used nowadays. The authors of the Scrum Framework state that if you attempt to modify or change it, you will end up with “Scrumbut” and will not be able to take full advantage of what the framework has to offer. Even if AXPM has been successful with Scrum since we started using it, we risked modifying the framework to see what would happen in the hopes of continuously improving our performance. In this paper, we propose Just-in-Time Demos in the Scrum Framework and then present an Action Research report, narrating what happened after its application in an industrial context.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125278675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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