Relevant bibliographies by topics / Robustness and reliability

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
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Academic literature on the topic 'Robustness and reliability'

Author: Grafiati
Published: 7 June 2025
Last updated: 17 July 2025

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Journal articles on the topic "Robustness and reliability"

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Bialystok, Ellen. "ON THE RELIABILITY OF ROBUSTNESS." Studies in Second Language Acquisition 24, no. 3 (2002): 481–88. http://dx.doi.org/10.1017/s0272263102003054.

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DeKeyser (2000) reports a study in which he examines three hypotheses concerning the existence of a critical period for second language acquisition. He concludes that his data support all three predictions and that the notion of a critical period is the best account of the data. However, there are problems in both his interpretation of the data and the issues raised in his discussion that undermine that conclusion. The present paper examines the evidence for the three hypotheses proposed by DeKeyser and argues that the data do not provide the necessary support for the interpretation that a critical period has influenced the results.
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Johannesson, Pär, Bo Bergman, Thomas Svensson, et al. "A Robustness Approach to Reliability." Quality and Reliability Engineering International 29, no. 1 (2012): 17–32. http://dx.doi.org/10.1002/qre.1294.

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Sudjianto, Agus, Lokesh Juneja, Hari Agrawal, and Mahesh Vora. "Computer Aided Reliability and Robustness Assessment." International Journal of Reliability, Quality and Safety Engineering 05, no. 02 (1998): 181–93. http://dx.doi.org/10.1142/s0218539398000182.

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The competitive pressure to shorten product development time has necessitated the automotive industry to rely more on Computer Aided Engineering (CAE) for analyzing and proving product reliability and robustness. The challenge of this approach is the incorporation of product variability, due to manufacturing and customer usage variations in the analysis, requires a massive computation process which may be prohibitive even with today's advanced computers. In this paper, we demonstrate the use of an efficient computational procedure based on optimal Latin Hypercube Sampling (LHS) and a "cheap-to-compute" nonlinear surrogate model using Multivariate Adaptive Regression Splines (MARS) to emulate a computationally intensive complex CAE model. The result of the analysis is the identification of sensitivity of design parameters, in addition to a computationally affordable reliability assessment. Fatigue life durability of automotive shock tower is presented as an example to demonstrate the methodology.
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Jackson, G. "Reliability and robustness of engineering software." Computer-Aided Design 20, no. 5 (1988): 298. http://dx.doi.org/10.1016/0010-4485(88)90095-4.

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Edgar, John F., and Tonybendell. "The robustness of markov reliability models." Quality and Reliability Engineering International 2, no. 2 (1986): 117–26. http://dx.doi.org/10.1002/qre.4680020207.

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Lin, W. C., S. W. Ke, and C. F. Tsai. "Robustness and reliability evaluations of image annotation." Imaging Science Journal 64, no. 2 (2016): 94–99. http://dx.doi.org/10.1080/13682199.2016.1139290.

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Spencer, B. F., M. K. Sain, C. H. Won, D. C. Kaspari, and P. M. Sain. "Reliability-based measures of structural control robustness." Structural Safety 15, no. 1-2 (1994): 111–29. http://dx.doi.org/10.1016/0167-4730(94)90055-8.

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Kulakov, K. "Reliability in positioning of a vessel." Bulletin of Science and Practice, no. 4 (April 15, 2017): 103–6. https://doi.org/10.5281/zenodo.546278.

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The article describes the question of relative and precise positioning. The analysis of various systems of positioning from a robustness point of view is given. It is noted in the work that in the coastal areas of navigation the determination of the location of the vessel by a visual method or using a radar based on objects on the map or distinct landmarks of the coastline gives a fairly reliable absolute position of the vessel. The image of the radar echoes overlaid on the ECDIS map makes this clear and detailed. Finally, he comes to the conclusion that there is a need to improve existing systems as well as the creation of new and reliable positioning systems.
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Jin, Qi-Wen, Zheng Liu, and Shuan-Hai He. "Investigation on the Mathematical Relation Model of Structural Reliability and Structural Robustness." Mathematical and Computational Applications 26, no. 2 (2021): 26. http://dx.doi.org/10.3390/mca26020026.

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Structural reliability and structural robustness, from different research fields, are usually employed for the evaluative analysis of building and civil engineering structures. Structural reliability has been widely used for structural analysis and optimization design, while structural robustness is still in rapid development. Several dimensionless evaluation indexes have been defined for structural robustness so far, such as the structural reliability-based redundancy index. However, these different evaluation indexes are usually based on subjective definitions, and they are also difficult to put into engineering practice. The mathematical relational model between structural reliability and structural robustness has not been established yet. This paper is a quantitative study, focusing on the mathematical relation between structural reliability and structural robustness so as to further develop the theory of structural robustness. A strain energy evaluation index for structural robustness is introduced firstly by considering the energy principle. The mathematical relation model of structural reliability and structural robustness is then derived followed by a further comparative study on sensitivity, structural damage, and random variation factor. A cantilever beam and a truss beam are also presented as two case studies. In this study, a parabolic curve mathematical model between structural reliability and structural robustness is established. A significant variation trend for their sensitivities is also observed. The complex interaction mechanism of the joint effect of structural damage and random variation factor is also reflected. With consideration of the variation trend of the structural reliability index that is affected by different degrees of structural damage (mild impairment, moderate impairment, and severe impairment), a three-stage framework for structural life-cycle maintenance management is also proposed. This study can help us gain a better understanding of structural robustness and structural reliability. Some practical references are also provided for the better decision-making of maintenance and management departments.
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HANZAWA, Akimitsu. "111 Robustness and reliability based optimization considering practicality." Proceedings of OPTIS 2008.8 (2008): 53–58. http://dx.doi.org/10.1299/jsmeoptis.2008.8.53.

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Dissertations / Theses on the topic "Robustness and reliability"

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He, Qinxian Ph D. Massachusetts Institute of Technology. "Uncertainty and sensitivity analysis methods for improving design robustness and reliability." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90601.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2014.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 161-172).<br>Engineering systems of the modern day are increasingly complex, often involving numerous components, countless mathematical models, and large, globally-distributed design teams. These features all contribute uncertainty to the system design process that, if not properly managed, can escalate into risks that seriously jeopardize the design program. In fact, recent history is replete with examples of major design setbacks due to failure to recognize and reduce risks associated with performance, cost, and schedule as they emerge during the design process. The objective of this thesis is to develop methods that help quantify, understand, and mitigate the effects of uncertainty in the design of engineering systems. The design process is viewed as a stochastic estimation problem in which the level of uncertainty in the design parameters and quantities of interest is characterized probabilistically, and updated through successive iterations as new information becomes available. Proposed quantitative measures of complexity and risk can be used in the design context to rigorously estimate uncertainty, and have direct implications for system robustness and reliability. New local sensitivity analysis techniques facilitate the approximation of complexity and risk in the quantities of interest resulting from modifications in the mean or variance of the design parameters. A novel complexity-based sensitivity analysis method enables the apportionment of output uncertainty into contributions not only due to the variance of input factors and their interactions, but also due to properties of the underlying probability distributions such as intrinsic extent and non-Gaussianity. Furthermore, uncertainty and sensitivity information are combined to identify specfic strategies for uncertainty mitigation and visualize tradeoffs between available options. These approaches are integrated with design budgets to guide decisions regarding the allocation of resources toward improving system robustness and reliability. The methods developed in this work are applicable to a wide variety of engineering systems. In this thesis, they are demonstrated on a real-world aviation case study to assess the net cost-benet of a set of aircraft noise stringency options. This study reveals that uncertainties in the scientific inputs of the noise monetization model are overshadowed by those in the scenario inputs, and identifies policy implementation cost as the largest driver of uncertainty in the system.<br>by Qinxian He.<br>Ph. D.
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Yodo, Nita. "Design of thin film solar cell material structure for reliability and performance robustness." Thesis, Wichita State University, 2013. http://hdl.handle.net/10057/7050.

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Although a continued exponential growth of solar power generation over the world paves a path to a future in sustainable energy, development of photovoltaic (PV) technologies with low-cost and high-stability materials remains a challenge and has attracted tremendous attention to solar energy research. The prevalence of thin film solar cells substantially reduces the material costs. However, even in the presence of their band gap properties, a major issue faced by most thin film solar cells is the low output efficiency due to manufacturing variability and uncertain operating conditions. Thus, to ensure the reliability and performance robustness of thin film PV technologies, the design of the solar cell is studied. To represent the thin film PV technologies, a copper gallium (di)selenide (CIGS) solar cell model is developed and optimized with the Reliability-based Robust Design Optimization (RBRDO) method. The main contribution of this research is the development of a probabilistic thin film solar cell model that considers the presence of the uncertainties in the PV system. This model takes into account the variability of the structure and the material properties of the CIGS solar cells, and assumes operation in ideal-weather conditions. A general reliability-based methodology to optimize the design of the CIGS PV technologies is presented in this research and this approach also could be used to facilitate the development and assessment of new PV technologies with more robust performance in efficiency and stability.<br>Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineering.
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Tewari, Anurag. "Upstream supply chain vulnerability, robustness and resilience : a systematic review of literature." Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/12490.

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Purpose: In the last decade, supply chains of many global firms have been exposed to severe and costly supply chain disruptions. Triggered by either a manmade or a natural disaster, these disruptions are often a result of the increased network complexity and interdependency. One of the many contributing factors to this increased network complexity is the conscious effort by organizations to over optimise their efficiency and performance. The field of supply chain resilience, robustness and vulnerability studies, a new and growing area of knowledge, is contributing towards discovering the causes leading to supply chain disasters and measures to tackle them. Criticized to be highly fragmented and fraught with conceptual ambiguity, the filed has been evolving by incorporating vulnerability and resilience research from other interdisciplinary domains. This present research aims at mapping the intellectual territory of the resilience, robustness and vulnerability domain by conducting a literature review. The review also aims to establish a conceptual clarity in the definition of terms and constructs relevant to the field and to discover conceptual and methodological gaps in the existing body of literature. Design/methodology/approach: This literature review is conducted using a systematic review approach which benefits from a clearly defined audit and decision trail. After filtering through 2077 titles, the review is taken up for 43 articles. Findings: The review demonstrates that the drivers of vulnerability and strategies to tackle it can be grouped into three themes, Structural, Operational and Strategic. The review also demonstrates that the field is still plagued with conceptual ambiguity. By the analysis of the findings, a number of research directions were identified. Research limitations/implications: Major limitations to this study were the associated personal bias in quality assessment of included and excluded articles. Also, due to blurred definitions of terms and constructs in the literature, the thematic classification of findings could be challenged. Lastly, it cannot be stated with conviction that the chosen 43 articles are sufficient. Practical implications: This research highlights the future conceptual and methodological prospects in the field of resilience, robustness and vulnerability. The direction of structural research proposed in the thesis has a very high potential to secure future supply chains. Originality/value: This review is first to address the issue of SCV, SCRel and SCRob. The review provides an extensive overview of the present extant of the vulnerability, robustness research and it proposes a thematic framework to further extend the knowledge in this filed.
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Kozak, Joseph Peter. "Hard Switched Robustness of Wide Bandgap Power Semiconductor Devices." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/104874.

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As power conversion technology is being integrated further into high-reliability environments such as aerospace and electric vehicle applications, a full analysis and understanding of the system's robustness under operating conditions inside and outside the safe-operating-area is necessary. The robustness of power semiconductor devices, a primary component of power converters, has been traditionally evaluated through qualification tests that were developed for legacy silicon (Si) technologies. However, new devices have been commercialized using wide bandgap (WBG) semiconductors including silicon carbide (SiC) and gallium nitride (GaN). These new devices promise enhanced capabilities (e.g., higher switching speed, smaller die size, lower junction capacitances, and higher thermal conductance) over legacy Si devices, thus making the traditional qualification experiments ineffective. This work begins by introducing a new methodology for evaluating the switching robustness of SiC metal-oxide-semiconductor field-effect transistors (MOSFETs). Recent static acceleration tests have revealed that SiC MOSFETs can safely operate for thousands of hours at a blocking voltage higher than the rated voltage and near the avalanche boundary. This work evaluates the robustness of SiC MOSFETs under continuous, hard-switched, turn-off stresses with a dc-bias higher than the device rated voltage. Under these conditions, SiC MOSFETs show degradation in merely tens of hours at 25si{textdegree}C and tens of minutes at 100si{textdegree}C. Two independent degradation and failure mechanisms are unveiled, one present in the gate-oxide and the other in the bulk-semiconductor regions, detected by the increase in gate leakage current and drain leakage current, respectively. The second degradation mechanism has not been previously reported in the literature; it is found to be related to the electron hopping along the defects in semiconductors generated in the switching tests. The comparison with the static acceleration tests reveals that both degradation mechanisms correlate to the high-bias switching transients rather than the high-bias blocking states. The GaN high-electron-mobility transistor (HEMT) is a newer WBG device that is being increasingly adopted at an unprecedented rate. Different from SiC MOSFETs, GaN HEMTs have no avalanche capability and withstand the surge energy through capacitive charging, which often causes significant voltage overshoot up to their catastrophic limit. As a result, the dynamic breakdown voltage (BV) and transient overvoltage margin of GaN devices must be studied to fully evaluate the switching ruggedness of devices. This work characterizes the transient overvoltage capability and failure mechanisms of GaN HEMTs under hard-switched turn-off conditions at increasing temperatures, by using a clamped inductive switching circuit with a variable parasitic inductance. This test method allows flexible control over both the magnitude and the dV/dt of the transient overvoltage. The overvoltage robustness of two commercial enhancement-mode (E-mode) p-gate HEMTs was extensively studied: a hybrid drain gate injection transistor (HD-GIT) with an Ohmic-type gate and a Schottky p-Gate HEMT (SP-HEMT). The overvoltage failure of the two devices was found to be determined by the overvoltage magnitude rather than the dV/dt. The HD-GIT and the SP-HEMT were found to fail at a voltage overshoot magnitude that is higher than the breakdown voltage in the static current-voltage measurement. These single event failure tests were repeated at increasing temperatures (100si{textdegree}C and 150si{textdegree}C), and the failures of both devices were consistent with room temperature results. The two types of devices show different failure behaviors, and the underlying mechanisms (electron trapping) have been revealed by physics-based device simulations. Once this single-event overvoltage failure was established, the device's robustness under repetitive overvoltage and surge-energy events remained unclear; therefore, the switching robustness was evaluated for both the HD-GIT and SP-HEMT in a clamped, inductive switching circuit with a 400 V dc bias. A parasitic inductance was used to generate the overvoltage stress events with different overvoltage magnitude up to 95% of the device's destructive limit, different switching periods from 10 ms to 0.33 ms, different temperatures up to 150si{textdegree}C, and different negative gate biases. The electrical parameters of these devices were measured before and after 1 million stress cycles under varying conditions. The HD-GITs showed no failure or permanent degradation after 1-million overvoltage events at different switching periods, or elevated temperatures. The SP-HEMTs showed more pronounced parametric shifts after the 1 million cycles in the threshold voltage, on-resistance, and saturation drain current. Different shifts were also observed from stresses under different overvoltage magnitudes and are attributable to the trapping of the holes produced in impact ionization. All shifts were found to be recoverable after a relaxation period. Overall, the results from these switching-oriented robustness tests have shown that SiC MOSFETs show a tremendous lifetime under static dc-bias experiments, but when excited by hard-switching turn-off events, the failure mechanisms are accelerated. These results suggest the insufficient robustness of SiC MOSFETs under high bias, hard switching conditions, and the significance of using switching-based tests to evaluate the device robustness. These inspired the GaN-based hard-switching turn-off robustness experiments, which further demonstrated the dynamic breakdown voltage phenomena. Ultimately these results suggest that the breakdown voltage and overvoltage margin of GaN HEMTs in practical power switching can be significantly underestimated using the static breakdown voltage. Both sets of experiments provide further evidence for the need for switching-oriented robustness experiments to be implemented by both device vendors and users, to fully qualify and evaluate new power semiconductor transistors.<br>Doctor of Philosophy<br>Power conversion technology is being integrated into industrial and commercial applications with the increased use of laptops, server centers, electric vehicles, and solar and wind energy generation. Each of these converters requires the power semiconductor devices to convert energy reliably and safely. textcolor{black}{Silicon has been the primary material for these devices; however,} new devices have been commercialized from both silicon carbide (SiC) and gallium nitride (GaN) materials. Although these devices are required to undergo qualification testing, the standards were developed for silicon technology. The performance of these new devices offers many additional benefits such as physically smaller dimensions, greater power conversion efficiency, and higher thermal operating capabilities. To facilitate the increased integration of these devices into industrial applications, greater robustness and reliability analyses are required to supplement the traditional tests. The work presented here provides two new experimental methodologies to test the robustness of both SiC and GaN power transistors. These methodologies are oriented around hard-switching environments where both high voltage biases and high conduction current exist and stress the intrinsic semiconductor properties. Experimental evaluations were conducted of both material technologies where the electrical properties were monitored over time to identify any degradation effects. Additional analyses were conducted to determine the physics-oriented failure mechanisms. This work provides insight into the limitations of these semiconductor devices for both device designers and manufacturers as well as power electronic system designers.
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Chen, Ming-Te Mark. "Flow path design of a class of material handling systems for robustness and reliability." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/25381.

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Wang, Mingzhong. "ARTS : agent-oriented robust transactional system /." Connect to thesis, 2009. http://repository.unimelb.edu.au/10187/6778.

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Internet computing enables the construction of large-scale and complex applications by aggregating and sharing computational, data and other resources across institutional boundaries. The agent model can address the ever-increasing challenges of scalability and complexity, driven by the prevalence of Internet computing, by its intrinsic properties of autonomy and reactivity, which support the flexible management of application execution in distributed, open, and dynamic environments. However, the non-deterministic behaviour of autonomous agents leads to a lack of control, which complicates exception management in the system, thus threatening the robustness and reliability of the system, because improperly handled exceptions may cause unexpected system failure and crashes.<br>In this dissertation, we investigate and develop mechanisms to integrate intrinsic support for concurrency control, exception handling, recoverability, and robustness into multi-agent systems. The research covers agent specification, planning and scheduling, execution, and overall coordination, in order to reduce the impact of environmental uncertainty. Simulation results confirm that our model can improve the robustness and performance of the system, while relieving developers from dealing with the low level complexity of exception handling.<br>A survey, along with a taxonomy, of existing proposals and approaches for building robust multi-agent systems is provided first. In addition, the merits and limitations of each category are highlighted.<br>Next, we introduce the ARTS (Agent-Oriented Robust Transactional System) platform which allows agent developers to compose recursively-defined, atomically-handled tasks to specify scoped and hierarchically-organized exception-handling plans for a given goal. ARTS then supports automatic selection, execution, and monitoring of appropriate plans in a systematic way, for both normal and recovery executions. Moreover, we propose multiple-step backtracking, which extends the existing step-by-step plan reversal, to serve as the default exception handling and recovery mechanism in ARTS. This mechanism utilizes previous planning results in determining the response to a failure, and allows a substitutable path to start, prior to, or in parallel with, the compensation process, thus allowing an agent to achieve its goals more directly and efficiently. ARTS helps developers to focus on high-level business logic and relaxes them from considering low-level complexity of exception management.<br>One of the reasons for the occurrence of exceptions in a multi-agent system is that agents are unable to adhere to their commitments. We propose two scheduling algorithms for minimising such exceptions when commitments are unreliable. The first scheduling algorithm is trust-based scheduling, which incorporates the concept of trust, that is, the probability that an agent will comply with its commitments, along with the constraints of system budget and deadline, to improve the predictability and stability of the schedule. Trust-based scheduling supports the runtime adaptation and evolvement of the schedule by interleaving the processes of evaluation, scheduling, execution, and monitoring in the life cycle of a plan. The second scheduling algorithm is commitment-based scheduling, which focuses on the interaction and coordination protocol among agents, and augments agents with the ability to reason about and manipulate their commitments. Commitment-based scheduling supports the refactoring and parallel execution of commitments to maximize the system's overall robustness and performance. While the first scheduling algorithm needs to be performed by a central coordinator, the second algorithm is designed to be distributed and embedded into the individual agent.<br>Finally, we discuss the integration of our approaches into Internet-based applications, to build flexible but robust systems. Specifically, we discuss the designs of an adaptive business process management system and of robust scientific workflow scheduling.
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Pérez, Garcia Julio César. "Contribution to security and privacy in the Blockchain-based Internet of Things : Robustness, Reliability, and Scalability." Electronic Thesis or Diss., Avignon, 2023. http://www.theses.fr/2023AVIG0120.

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L’Internet des Objets (IoT, Internet of Things) est un réseau diversifié d’objets interconnectés, généralement via l’internet. En raison de la sensibilité des informations échangées dans les applications de IoT, il est essentiel de garantir la sécurité et le respect de la vie privée. Ce problème est aggravé par la nature ouverte des communications sans fil et par les contraintes de puissance et de ressources computationnelles de la plupart des appareils IoT. Parallèlement, les solutions de sécurité IoT existantes sont basées sur des architectures centralisées, ce qui pose des problèmes d’évolutivité et de point de défaillance unique, les rendant sensibles aux attaques par déni de service et aux défaillances techniques. La Blockchain est considérée comme une solution attractive aux problèmes de sécurité et de centralisation de IoT. Les Blockchains reproduisent un enregistrement permanent, en annexe seulement, de toutes les transactions effectuées sur un réseau entre plusieurs appareils, en les maintenant synchronisées par un protocole de consensus. L’utilisation de la Blockchain peut impliquer des coûts de calcul et d’énergie élevés pour les appareils. Par conséquent, des solutions basées sur Fog/Edge Computing ont été envisagées dans le cadre de l’intégration avec l’IoT. Cette approche transfère la charge de calcul et la consommation d’énergie plus élevées vers les dispositifs ayant une plus grande disponibilité de ressources, les dispositifs Fog/Edge. Toutefois, le coût de l’utilisation de la Blockchain doit être optimisé, en particulier dans le protocole de consensus, qui influe considérablement sur les performances globales du système. Les Blockchains avec permission correspondent mieux aux exigences des applications IoT que les Blockchains sans permission, en raison de leur taux élevé de traitement des transactions et de leur scalabilité. En effet, les nœuds de consensus, les validateurs, sont connus et prédéterminés. Dans les protocoles de consensus existants utilisés dans les Blockchains avec permission, les validateurs sont généralement un ensemble de nœuds prédéfinis ou sélectionnés de manière aléatoire, ce qui affecte à la fois les performances du système et l’équité (Fairness) entre les utilisateurs. L’objectif de ce travail est de proposer des solutions pour améliorer la sécurité et la vie privée dans IoT en intégrant la technologie Blockchain, ainsi que pour maximiser les niveaux de fairness pendant le consensus. L’étude est organisée en deux parties distinctes : l’une traite des aspects critiques de la sécurité de IoT et propose des solutions basées sur la Blockchain, tandis que l’autre se concentre sur l’optimisation de la Fairness entre les utilisateurs lors de l’exécution de l’algorithme de consensus sur la Blockchain. Nous présentons un mécanisme d’authentification inspiré du protocole d’authentification µTesla, qui utilise des clés symétriques formant une chaîne de hachage et obtient des propriétés asymétriques en dévoilant la clé utilisée un peu plus tard. Grâce à ce mécanisme et à l’utilisation de la Blockchain pour stocker les clés et faciliter l’authentification, notre proposition garantit une authentification robuste et efficace des appareils, sans qu’il soit nécessaire de recourir à un tiers de confiance. En outre, nous présentons un système de gestion des clés basé sur la Blockchain pour les communications de groupe, adapté aux contextes de IoT. L’utilisation de la cryptographie à courbe elliptique garantit un faible coût de calcul tout en permettant une distribution sécurisée des clés de groupe. Dans les deux solutions de sécurité, nous fournissons des preuves formelles et informelles de la sécurité dans le modèle d’attaque défini. Une analyse de l’impact sur la performance et une comparaison avec les solutions existantes sont également menées pour les solutions proposées, montrant que les solutions proposées sont sûres et efficaces et peuvent être utilisées dans de multiples applications IoT<br>The Internet of Things (IoT) is a diverse network of objects typically interconnected via the Internet. Given the sensitivity of the information exchanged in IoT applications, it is essential to guarantee security and privacy. This problem is aggravated by the open nature of wireless communications, and the power and computing resource limitations of most IoT devices. Existing IoT security solutions are based on centralized architectures, which raises scalability issues and the single point of failure problem, making them susceptible to denial-of-service attacks and technical failures. Blockchain has emerged as an attractive solution to IoT security and centralization issues. Blockchains replicate a permanent, append-only record of all transactions occurring on a network across multiple devices, keeping them synchronized through a consensus protocol. Blockchain implementation may involve high computational and energy costs for devices. Consequently, solutions based on Fog/Edge computing have been considered in the integration with IoT. However, the cost of Blockchain utilization must be optimized, especially in the consensus protocol, which significantly influences the overall system performance. Permissioned Blockchains align better with the requirements of IoT applications than Permissionless Blockchains, due to their high transaction processing rate and scalability. This is because the consensus nodes, i.e., Validators, are known and predetermined. In existing consensus protocols used in Permissioned Blockchains, the Validators are usually a predefined or randomly selected set of nodes, which affects both system performance and fairness among users. The objective of this work is to propose solutions to improve security and privacy within IoT by integrating Blockchain technology, as well as to maximize fairness levels during consensus. The study is organized into two distinct parts: one addresses critical aspects of IoT security and proposes Blockchain-based solutions, while the other part focuses on optimizing fairness among users during the execution of the consensus algorithm on the Blockchain. We present an authentication mechanism inspired by the µTesla authentication protocol, which uses symmetric keys that form a hashchain and achieves asymmetric properties by unveiling the key used a while later. With this mechanism and the use of the Blockchain to store the keys and facilitate authentication, our proposal ensures robust and efficient authentication of devices, without the need for a trusted third party. In addition, we introduce a Blockchain-based key management system for group communications adapted to IoT contexts. The use of Elliptic Curve Cryptography ensures a low computational cost while enabling secure distribution of group keys. In both security solutions, we provide formal and informal proofs of security under the defined attack model. A performance impact analysis and a comparison with existing solutions are also conducted, showing that the proposed solutions are secure and efficient and can be used in multiple IoT applications. The second part of the work proposes an algorithm to select Validator nodes in Permissioned Blockchains maximizing Social Welfare, using α-Fairness as the objective function. A mathematical model of the problem is developed, and a method for finding the solution in a distributed manner is proposed, employing metaheuristic Evolutionary algorithms and a Searchspace partitioning strategy. The security of the proposed algorithm and the quality of the solutions obtained are analyzed. As a result of this work, two security protocols for IoT based on Blockchain are introduced, along with a distributed algorithm for maximizing Social Welfare among users in a Permissioned Blockchain network
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Al-Ameri, Shehab Ahmed. "A framework for assessing robustness of water networks and computational evaluation of resilience." Thesis, Cranfield University, 2016. http://dspace.lib.cranfield.ac.uk/handle/1826/12334.

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Arid regions tend to take careful measures to ensure water supplies are secured to consumers, to help provide the basis for further development. The distribution network is the most expensive part of the water supply infrastructure and it must maintain performance during unexpected incidents. Many aspects of performance have previously been discussed separately, including reliability, vulnerability, flexibility and resilience. This study aimed to develop a framework to bring together these aspects as found in the literature and industry practice, and bridge the gap between them. Semi-structured interviews with water industry experts were used to examine the presence and understanding of robustness factors. Thematic analysis was applied to investigate these and inform a conceptual framework including the component and topological levels. Robustness was described by incorporating network reliability and resiliency. The research focused on resiliency as a network-level concept derived from flexibility and vulnerability. To utilise this new framework, the study explored graph theory to formulate metrics for flexibility and vulnerability that combine network topology and hydraulics. The flexibility metric combines hydraulic edge betweenness centrality, representing hydraulic connectivity, and hydraulic edge load, measuring utilised capacity. Vulnerability captures the impact of failures on the ability of the network to supply consumers, and their sensitivity to disruptions, by utilising node characteristics, such as demand, population and alternative supplies. These measures together cover both edge (pipe) centric and node (demand) centric perspectives. The resiliency assessment was applied to several literature benchmark networks prior to using a real case network. The results show the benefits of combining hydraulics with topology in robustness analysis. The assessment helps to identify components or sections of importance for future expansion plans or maintenance purposes. The study provides a novel viewpoint overarching the gap between literature and practice, incorporating different critical factors for robust performance.
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Yu, Hang. "Reliability-based design optimization of structures : methodologies and applications to vibration control." Phd thesis, Ecole Centrale de Lyon, 2011. http://tel.archives-ouvertes.fr/tel-00769937.

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Deterministic design optimization is widely used to design products or systems. However, due to the inherent uncertainties involved in different model parameters or operation processes, deterministic design optimization without considering uncertainties may result in unreliable designs. In this case, it is necessary to develop and implement optimization under uncertainties. One way to deal with this problem is reliability-based robust design optimization (RBRDO), in which additional uncertainty analysis (UA, including both of reliability analysis and moment evaluations) is required. For most practical applications however, UA is realized by Monte Carlo Simulation (MCS) combined with structural analyses that renders RBRDO computationally prohibitive. Therefore, this work focuses on development of efficient and robust methodologies for RBRDO in the context of MCS. We presented a polynomial chaos expansion (PCE) based MCS method for UA, in which the random response is approximated with the PCE. The efficiency is mainly improved by avoiding repeated structural analyses. Unfortunately, this method is not well suited for high dimensional problems, such as dynamic problems. To tackle this issue, we applied the convolution form to compute the dynamic response, in which the PCE is used to approximate the modal properties (i.e. to solve random eigenvalue problem) so that the dimension of uncertainties is reduced since only structural random parameters are considered in the PCE model. Moreover, to avoid the modal intermixing problem when using MCS to solve the random eigenvalue problem, we adopted the MAC factor to quantify the intermixing, and developed a univariable method to check which variable results in such a problem and thereafter to remove or reduce this issue. We proposed a sequential RBRDO to improve efficiency and to overcome the nonconvergence problem encountered in the framework of nested MCS based RBRDO. In this sequential RBRDO, we extended the conventional sequential strategy, which mainly aims to decouple the reliability analysis from the optimization procedure, to make the moment evaluations independent from the optimization procedure. Locally "first-torder" exponential approximation around the current design was utilized to construct the equivalently deterministic objective functions and probabilistic constraints. In order to efficiently calculate the coefficients, we developed the auxiliary distribution based reliability sensitivity analysis and the PCE based moment sensitivity analysis. We investigated and demonstrated the effectiveness of the proposed methods for UA as well as RBRDO by several numerical examples. At last, RBRDO was applied to design the tuned mass damper (TMD) in the context of passive vibration control, for both deterministic and uncertain structures. The associated optimal designs obtained by RBRDO cannot only reduce the variability of the response, but also control the amplitude by the prescribed threshold.
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Kagho, Gouadjio Nadia Christiana. "Étude de la vulnérabilité et de la robustesse des ouvrages." Thesis, Paris Est, 2013. http://www.theses.fr/2013PEST1003/document.

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Le terme de robustesse structurale donne lieu à diverses définitions et domaines d'application. Dans le domaine de l'ingénierie structurale, le cadre réglementaire des Eurocodes définit la robustesse structurale comme « l'aptitude d'une structure à résister à des événements tels que les incendies, les explosions, les chocs ou les conséquences d'une erreur humaine, sans présenter de dégâts disproportionnés par rapport à la cause d'origine ». Cette définition fait clairement ressortir les notions de dommage initial (défaillance locale) et de dommage disproportionné (défaillance globale). Cette thèse propose une approche de la quantification de la robustesse structurale en contexte probabiliste pour mesurer l'impact d'une défaillance localisée sur la défaillance globale de la structure. L'objectif majeur de la thèse est de quantifier l'écart entre une défaillance locale et une défaillance globale, en introduisant différents indices de robustesse selon que la structure soit intègre ou initialement endommagée. Pour cela, dans le but de caractériser et quantifier les liens existant entre la performance des différents éléments d'une structure et la performance globale de la structure, il est nécessaire d'introduire une étude en système qui intègre de manière concomitante des notions de défaillance locale (modes de défaillance) et des notions de défaillance globale. Une recherche « par l'intérieur » des chemins de défaillance dominants est présentée. Le terme « par l'intérieur » est utilisé car c'est le cheminement interne de la défaillance dans la structure qui est recherché. Des méthodes de parcours d'arbre d'évènements sont introduites telles que la méthode des « branches et bornes », du β-unzipping, ou encore du β-unzipping avec bornage. Ces méthodes permettent d'identifier les chemins de défaillance dominants avec des temps de calcul raisonnables. En particulier, il est possible de déterminer le chemin de défaillance associé à la plus grande probabilité de défaillance, appelé encore chemin de référence. Une approche « par l'extérieur » est également proposée, qui consiste à identifier la défaillance globale sans parcourir un arbre d'évènement (et donc sans s'intéresser à l'ordre avec lequel la défaillance survient). Le terme « par l'extérieur » correspond donc à regarder la défaillance de manière globale sans chercher à déterminer la chronologie de la défaillance. Dans les deux cas, l'enjeu est au final de développer une démarche globale permettant d'apprécier et de quantifier la robustesse des structures neuves ou existantes au travers de méthodes et d'indices pouvant s'appliquer à une large variété de problèmes<br>Structural robustness is associated with several definitions depending on context. In the field of structural engineering, the Eurocodes define structural robustness as “the ability of a structure to withstand events like fire, explosions, impact or the consequences of human error, without being damaged to an extent disproportionate to the original cause”. Such a definition clearly involves concepts of local and global failures. This PhD work proposes a methodology to quantify structural robustness in a probabilistic way and to assess the impact of local failures on global failures. The main objective of this PhD is to quantify the gap between local and global failures by introducing several robustness indices proposed for undamaged and damaged structures. To qualify and quantify the relationships between the performance of the different structural components and the overall structural performance, it is necessary to introduce a system-level analysis which simultaneously considers concepts of local failure modes and global failure events. An inner approach is introduced to determine significant failure sequences and to characterize stochastically dominant failure paths identified by using branch-and-bound, β-unzipping, and mixed β-unzipping with bounding methods. These methods enable to determine significant failure paths with reasonable computational times. In particular, the path with the largest probability of occurrence is considered as the reference failure path. An outer approach is also proposed which identifies global failure without using an event-tree search (and, consequently, without analyzing the order in the failure sequence). This concept characterizes an overall and simultaneous failure of different components without determining the chronology in the failure event. In both cases, the goal is to provide a general and widely applicable framework for qualifying and quantifying the robustness level of new and existing structures through the introduction of methodologies and indices
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Books on the topic "Robustness and reliability"

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Mahon, J. Reliability and robustness in industrial computer vision. Trinity College, Department of Computer Science, 1992.

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Brebbia, C. A., and A. J. Ferrante, eds. Reliability and Robustness of Engineering Software II. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3026-4.

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Wu, Xi, Kaishun Wu, and Cong Wang, eds. Quality, Reliability, Security and Robustness in Heterogeneous Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77569-8.

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Yuan, Xingliang, Wei Bao, Xun Yi, and Nguyen Hoang Tran, eds. Quality, Reliability, Security and Robustness in Heterogeneous Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91424-0.

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Singh, Karan, and Amit K. Awasthi, eds. Quality, Reliability, Security and Robustness in Heterogeneous Networks. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37949-9.

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Lee, Jong-Hyouk, and Sangheon Pack, eds. Quality, Reliability, Security and Robustness in Heterogeneous Networks. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60717-7.

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Zhang, Xi, and Daji Qiao, eds. Quality, Reliability, Security and Robustness in Heterogeneous Networks. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29222-4.

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Duong, Trung Q., Nguyen-Son Vo, and Van Ca Phan, eds. Quality, Reliability, Security and Robustness in Heterogeneous Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14413-5.

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Wang, Lei, Tie Qiu, and Wenbing Zhao, eds. Quality, Reliability, Security and Robustness in Heterogeneous Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78078-8.

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Chu, Xiaowen, Hongbo Jiang, Bo Li, Dan Wang, and Wei Wang, eds. Quality, Reliability, Security and Robustness in Heterogeneous Systems. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38819-5.

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Book chapters on the topic "Robustness and reliability"

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Manure, Avinash, Shaleen Bengani, and Saravanan S. "Robustness and Reliability." In Introduction to Responsible AI. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9982-1_5.

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Jones, Peter F. "Robustness, reliability and support." In CAD/CAM: Features, Applications and Management. Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-22141-7_23.

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Slama, Dirk. "Reliability & Resilience." In The Digital Playbook. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-88221-1_26.

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AbstractEnsuring a high level of robustness for AIoT-based systems is usually a key requirement. Robustness is a result of two key concepts: reliability and resilience (“R&amp;R”). Reliability concerns designing, running and maintaining systems to provide consistent and stable services. Resilience refers to a system’s ability to resist adverse events and conditions (Fig. 29.1).
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Wimsatt, William C. "Robustness, Reliability, and Overdetermination (1981)." In Characterizing the Robustness of Science. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2759-5_2.

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Spagnuolo, R. "Intelligent Interfaces for Software Reliability." In Reliability and Robustness of Engineering Software II. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3026-4_13.

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Nederbragt, Hubertus. "Multiple Derivability and the Reliability and Stabilization of Theories." In Characterizing the Robustness of Science. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-2759-5_5.

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Sagrilo, L. V. S., E. P. de Lima, A. J. Ferrante, and S. G. Rodriguez Hormazabal. "Reliability Computer Analysis of Offshore Platforms." In Reliability and Robustness of Engineering Software II. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3026-4_25.

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Glynn, Peter W., Gerardo Rubino, and Bruno Tuffin. "Robustness Properties and Confidence Interval Reliability Issues." In Rare Event Simulation using Monte Carlo Methods. John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470745403.ch4.

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Spencer, B. F., M. K. Sain, C. H. Won, and L. M. Barroso. "Analysis of Structural Control Robustness: Reliability Methods." In Probabilistic Structural Mechanics: Advances in Structural Reliability Methods. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-85092-9_33.

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Novak, B. "Reliability and Applicability of Nonlinear Optimization Software." In Reliability and Robustness of Engineering Software II. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3026-4_16.

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Conference papers on the topic "Robustness and reliability"

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Janardhanan, Shakthivelu, Cristian Bermudez Serna, Elif Dogan, and Carmen Mas-Machuca. "Robustness Analysis for Cost-efficient Future Railway Communications." In 2024 8th International Conference on System Reliability and Safety (ICSRS). IEEE, 2024. https://doi.org/10.1109/icsrs63046.2024.10927519.

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Iannacone, Leandro, Ivar Björnsson, Sebastian Thöns, and Dániel Honfi. "Multi-index method for visualizing robustness of structures." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0421.

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&lt;p&gt;Robustness is the ability of systems to survive unforeseen or unusual circumstances, allowing them to withstand local damage and redistribute stresses to reduce disruptions from component failures. It may be measured by calculating the probability of system failure when specific components fail, compared to the overall system reliability. However, treating robustness and reliability as opposites can be misleading. To clarify, recent methods suggest plotting reliability and robustness separately on a Reliability-vs-Redundancy plot, allowing for a simultaneous quantification of both aspects. This paper applies Reliability-vs-Redundancy plots to several exemplificatory case studies, to (1) illustrate patterns for simple structures, (2) show effects of various initiating events (like vehicle impacts) associated with different probabilities of occurrence, and (3) incorporate risk aspects by accounting for costs/consequences of failure, which may include disruptions to the wider network.&lt;/p&gt;
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Yamauchi, Kenshin, Naoko Misawa, Satoshi Awamura, Masahiro Morimoto, Chihiro Matsui, and Ken Takeuchi. "Conductance Variation-Assisted Adversarial Attack Robustness on 40nm TaOx-based ReRAM CiM." In 2025 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2025. https://doi.org/10.1109/irps48204.2025.10982818.

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Mahaut, Matéo, Laura Aina, Paula Czarnowska, Momchil Hardalov, Thomas Müller, and Lluis Marquez. "Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators." In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.acl-long.250.

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Stoebner, Andrew, and Sankaran Mahadevan. "Robustness in reliability-based design." In 41st Structures, Structural Dynamics, and Materials Conference and Exhibit. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-1508.

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Lainé, R., B. Chemoul, and L. Laurent. "ARIANE 5 evolution, robustness and reliability." In 56th International Astronautical Congress of the International Astronautical Federation, the International Academy of Astronautics, and the International Institute of Space Law. American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.iac-05-d2.1.05.

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Mahadevan, Sankaran. "Design Optimization for Reliability and Robustness." In SAE 2004 World Congress & Exhibition. SAE International, 2004. http://dx.doi.org/10.4271/2004-01-0237.

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Han, Jie. "Session details: Reliability, Resiliency, Robustness I." In GLSVLSI '15: Great Lakes Symposium on VLSI 2015. ACM, 2015. http://dx.doi.org/10.1145/3254006.

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Cotofana, Sorin. "Session details: Reliability, Resiliency, Robustness II." In GLSVLSI '15: Great Lakes Symposium on VLSI 2015. ACM, 2015. http://dx.doi.org/10.1145/3254010.

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Margala, Martin. "Session details: Reliability, resiliency, robustness I." In GLSVLSI '14: Great Lakes Symposium on VLSI 2014. ACM, 2014. http://dx.doi.org/10.1145/3246695.

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Reports on the topic "Robustness and reliability"

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Grandhi, Ramana. Multidisciplinary Design Optimization for High Reliability and Robustness. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada442871.

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Hoffman, Wyatt. "Making AI Work for Cyber Defense: The Accuracy-Robustness Tradeoff ". Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/2021ca007.

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Artificial intelligence will play an increasingly important role in cyber defense, but vulnerabilities in AI systems call into question their reliability in the face of evolving offensive campaigns. Because securing AI systems can require trade-offs based on the types of threats, defenders are often caught in a constant balancing act. This report explores the challenges in AI security and their implications for deploying AI-enabled cyber defenses at scale.
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Rademaker, Corné J., Bockline Omedo Bebe, Jan van der Lee, Catherine Kilelu, and Charles Tonui. Sustainable growth of the Kenyan dairy sector : a quick scan of robustness, reliability and resilience. Wageningen University & Research, Wageningen Livestock Research, 2016. http://dx.doi.org/10.18174/391018.

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Bebe, B. O., C. J. Rademaker, J. van der Lee, C. W. Kilelu, and Charles Tonui. Sustainable growth of the Kenyan dairy sector : a quick scan of robustness, reliability and resilience : executive summary. Wageningen Livestock Research, 2017. http://dx.doi.org/10.18174/413390.

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Zhou, Xiao-Dong, Emir Dogdibegovic, Yudong Wang, and Nengneng Xu. Developing Accelerated Test Protocols and Tuning Microstructures of the Common Materials to Improve Robustness, Reliability, and Endurance of SOFC Cells. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1832757.

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Водолєєва, І. С., А. О. Лазаренко та В. М. Соловйов. Дослідження стійкості мультиплексних мереж під час кризових явищ. Видавець Вовчок О.Ю., 2017. http://dx.doi.org/10.31812/0564/1259.

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Demonstrated features of modeling random and directed attacks on the network as the basis for timely monitoring adverse events and to ensure the stability and reliability of the system. A testing system developed indicators robustness for example the actual functioning of complex systems, including a series of attacks on the social, technical and terror networks modeled changing dynamics of the occurrence of such attacks. Analysis of the results gives rise to recommendations for practical application range of indicators developed as a system of sustainable development of complex socio-economic systems.
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Obwanga, B., M. R. Lewo, B. C. Bolman, and P. G. M. van der Heijden. From aid to responsible trade: driving competitive aquaculture sector development in Kenya : Quick scan of robustness, reliability and resilience of the aquaculture sector. Wageningen University & Research, 2017. http://dx.doi.org/10.18174/421667.

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Beshouri, Greg. PR-309-14212-WEB Field Demonstration of Fully Integrated NSCR System. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011623.

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Wednesday, October 9, 2019 3:30 pm. ET PRESENTER: Bob Goffin, Advanced Engine Technologies HOST: Chris Nowak, Kinder Morgan MODERATOR: Gary Choquette, PRCI CLICK THE DOWNLOAD/BUY BUTTON TO ACCESS THE WEBINAR REGISTRATION LINK While superficially a "simple and proven" technology, non-selective catalytic reduction (NSCR) control is in fact extremely complex, far more complex than the control of lean burn engines. Using a systems approach, PRCI research partners defined the most common failure modes for each of the components of the NSCR system. Both regulators and operators often make simplistic assumptions regarding the reliability and robustness of NSCR control. Real world experience has shown those assumptions to be unfounded. Legacy NSCR systems can go "out of compliance" resulting in gross emissions deviations while remaining "in control." This webinar will review the reasons for those deviations and then postulates a system design capable of remaining both "in control" and "in compliance." This system was then designed, developed, installed and tested. The results confirmed the theoretical analysis resulting in satisfactory system performance. The result offers regulators and operators guidelines on procuring and/or developing NSCR systems that will satisfy regulatory expectations. Learning outcomes/Benefits of attending include: - Explains for legacy rich burn engines can be upgraded with NSCR and advanced controls - Explores the instrumentation required - Looks at control algorithms involved Who should attend: - Pipeline operators - Reliability engineers and technicians - Emissions compliance specialists Recommended pre-reading: PR-309-14212-R01 Field Demonstration of Fully Integrated NSCR System Not able to attend? Register anyway to automatically receive a link to the webinar recording to view on-demand at your convenience. Attendance is limited to the first 500 registrants to join the webinar. All remaining registrants will receive a link to view the webinar recording. After registering, you will receive a confirmation email containing information about joining the webinar.
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Yoel, David, Tina Sicilia, Matthew Bogaart, and Jeremy Fernandes. PR-417-203902-R01 Remote Sensing and Leak Detection Platform That Can Deploy Multiple Sensor Types. Pipeline Research Council International, Inc. (PRCI), 2024. http://dx.doi.org/10.55274/r0000052.

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The PRCI Project #417-203902 - ROW 3-1-A Final Report is attached for Member review and comment. The report includes a summary of all work completed in all Tasks which include: - Catalog, taxonomy, and sample data set for the threats detected. - Benchmarks of the sensitivity, accuracy, reliability, and robustness of an automated multi sensor, multi-threat detection and near real-time reporting comparing performance on conventional aircraft and UAS. - Technical synopsis for operators on integrating automated near real-time aerial threat reports into pipeline performance and safety improvement programs. - Report on status of integrating UAS into the National Airspace System in an application that contributes to improving the safety and integrity of the Nation's critical pipeline infrastructure. The project is complete. Full testing on the multi-spectral sensor is complete and Flight 4 of Phase 1 Flight Tests, scheduled for Oct/Nov 2021 was completed with approval of a no-cost extension in 2022. These delayed tasks are excusable due to delays caused in 2020 and 2021 by Novel Coronavirus (2019-nCoV), inclement weather and wildfires impacting several western states, and aviation delays (i.e., licenses from government authorities, misrepresentation of the specification and performance of the Sentera camera), which caused impacts to the contractor's capability to maintain a schedule under ROW 3-1-A and were completed under extension under ROW-3-1. The scope for this research project is to integrate PRCI Project ROW-3-1 multi-threat sensors, algorithms and communications systems onto the unmanned aircraft system (UAS); select Test Range(s) and complete Threat Staging Planning, while developing an Aviation Safety Case to the FAA for use of long endurance UAS on pipeline patrol. In addition, the project includes conducting UAS Test Program flights with automated multi-threat detection system on long endurance UAS flying hundreds of miles of pipeline corridor and perform analysis of data, benchmark automated threat detection system and UAS performance, report on advances in the integration of the remote sensing platform outputs with existing pipeline operator performance and safety programs. Lastly, it provided data of value to the FAA with respect to the integration of long-range Unmanned Aircraft Systems (UASs) into the National Airspace System. The program objectives stated in the contract include: - Produce a data set that enables benchmarking the sensitivity, accuracy, reliability and robustness of an automated multi-sensor, multi-threat detection and near real-time reporting system operating on a long-range Unmanned Aircraft System (UAS) for damage prevention and other pipeline integrity applications. - Generate data to compare and benchmark the detection and reporting system operating on conventional aircraft and UAS and with standard patrol methods for evaluating the value of integrating generated threat reports into performance and safety improvement programs. - Provide data to the United States Department of Transportation (US DOT) Federal Aviation Administration (FAA), PHMSA, and the PRCI research team to assist with information for safe integration of UAS into the National Airspace System for pipeline infrastructure.
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Ukkusuri, Satish, Lu Ling, Tho V. Le, and Wenbo Zhang. Performance of Right-Turn Lane Designs at Intersections. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317277.

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Right-turn lane (RTL) crashes are among the most key contributors to intersection crashes in the US. Different right turn lanes based on their design, traffic volume, and location have varying levels of crash risk. Therefore, engineers and researchers have been looking for alternative ways to improve the safety and operations for right-turn traffic. This study investigates the traffic safety performance of the RTL in Indiana state based on multi-sources, including official crash reports, official database, and field study. To understand the RTL crashes' influencing factors, we introduce a random effect negative binomial model and log-linear model to estimate the impact of influencing factors on the crash frequency and severity and adopt the robustness test to verify the reliability of estimations. In addition to the environmental factors, spatial and temporal factors, intersection, and RTL geometric factors, we propose build environment factors such as the RTL geometrics and intersection characteristics to address the endogeneity issues, which is rarely addressed in the accident-related research literature. Last, we develop a case study with the help of the Indiana Department of Transportation (INDOT). The empirical analyses indicate that RTL crash frequency and severity is mainly influenced by turn radius, traffic control, and other intersection related factors such as right-turn type and speed limit, channelized type, and AADT, acceleration lane and AADT. In particular, the effects of these factors are different among counties and right turn lane roadway types.
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