Littérature scientifique sur le sujet « Network safety assessments »
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Articles de revues sur le sujet "Network safety assessments"
Budzyński, Marcin, Jacek Szmagliński, Kazimierz Jamroz, Krystian Birr, Sławomir Grulkowski et Joanna Wachnicka. « Assessing Tram Infrastructure Safety Using the Example of the City of Gdańsk ». Journal of KONBiN 49, no 3 (1 octobre 2019) : 293–322. http://dx.doi.org/10.2478/jok-2019-0060.
Texte intégralMäkelä, Marjukka, Minna Kaila et Ken Stein. « Mind sharpeners for scientists : The EQUATOR Network ». International Journal of Technology Assessment in Health Care 27, no 2 (24 mars 2011) : 99–100. http://dx.doi.org/10.1017/s0266462311000158.
Texte intégralMundy, Linda, Tracy L. Merlin, Adriana Parrella, Wendy J. Babidge, Dianne E. Roberts et Janet E. Hiller. « The Australia and New Zealand Horizon Scanning Network ». Australian Health Review 29, no 4 (2005) : 395. http://dx.doi.org/10.1071/ah050395.
Texte intégralBudzyński, Marcin, Kazimierz Jamroz et Wojciech Kustra. « Road safety inspection as a tool for road safety management – the polish experience ». Journal of KONBiN 42, no 1 (1 juin 2017) : 43–62. http://dx.doi.org/10.1515/jok-2017-0017.
Texte intégralHeijer, C. (Kees) Den, Dirk T. J. A. Knipping, Nathaniel G. Plant, Jaap S. M. Van Thiel de Vries, Fedor Baart et Pieter H. A. J. M. Van Gelder. « IMPACT ASSESSMENT OF EXTREME STORM EVENTS USING A BAYESIAN NETWORK ». Coastal Engineering Proceedings 1, no 33 (25 octobre 2012) : 4. http://dx.doi.org/10.9753/icce.v33.management.4.
Texte intégralZhu, Baikang, Xu Yang, Jun Wang, Chuanhui Shao, Fei Li, Bingyuan Hong, Debin Song et Jian Guo. « Third-Party Damage Model of a Natural Gas Pipeline Based on a Bayesian Network ». Energies 15, no 16 (21 août 2022) : 6067. http://dx.doi.org/10.3390/en15166067.
Texte intégralLi, Mengchu, et Jingchun Wang. « Intelligent Recognition of Safety Risk in Metro Engineering Construction Based on BP Neural Network ». Mathematical Problems in Engineering 2021 (30 avril 2021) : 1–10. http://dx.doi.org/10.1155/2021/5587027.
Texte intégralHu, Jun, Xuecai Xie, Xueming Shu, Shifei Shen, Xiaoyong Ni et Lei Zhang. « Fire Risk Assessments of Informal Settlements Based on Fire Risk Index and Bayesian Network ». International Journal of Environmental Research and Public Health 19, no 23 (25 novembre 2022) : 15689. http://dx.doi.org/10.3390/ijerph192315689.
Texte intégralChen, Haoran. « A Contrastive Analysis of Classroom-Based Language Assessments ». English Language Teaching 13, no 5 (27 avril 2020) : 110. http://dx.doi.org/10.5539/elt.v13n5p110.
Texte intégralPakoksung, Kwanchai, Anawat Suppasri, Panon Latcharote, Abdul Muhari et Fumihiko Imamura. « Global Tsunami Risk Assessment : Collaboration Between Industry and Academia in the Willis Research Network (WRN) ». Journal of Disaster Research 13, no 7 (1 décembre 2018) : 1272–87. http://dx.doi.org/10.20965/jdr.2018.p1272.
Texte intégralThèses sur le sujet "Network safety assessments"
BONERA, MICHELA. « Risk-based network-wide road safety assessment. A new methodological approach ». Doctoral thesis, Università degli studi di Brescia, 2022. http://hdl.handle.net/11379/555156.
Texte intégralAlthough EU roads are among the safest in the world, the burden of road crashes is still too high, so that the road safety targets set for 2020 were far from being achieved. Road Infrastructure Safety Management (RISM) procedures aim at evaluating, monitoring, and improving the safety performance of the road network, over its whole life cycle. Specifically, Road Network Screening (RNS) is the first step of the procedure, and it is applied to a wide scale to identify those most critical segments that require further investigation. Recently, the European Commission has updated the former RISM Directive (2008/96/EC) and expanded its scope beyond the TEN-T Network, by specifically upgrading the RNS procedure (Art. 5). More precisely, according to a proac-tive approach, a risk-based network-wide safety assessment and a risk mapping have been introduced. However, no technical nor methodological specification has been provided on how to perform such tasks, which are mandated to the Member States by 2024. RNS represents the starting point for developing the new risk-based assessment procedure. However, despite the valuable insights provided by previous research on such topic at the theoretical and practical level, looking thoroughly at the past literature some gaps persist. For instance, available road network segmentation methods strongly depend on the availability of accurate spatial crash locations to work properly. A structured and common formulation of road crash risk (i.e., the combination of crash occurrence, severity, and exposure) was not clearly found. Indeed, just a handful of studies tried to formalise a risk-based analysis, which however was just partially explained. Finally, most used ranking methods rely on a fixed threshold, instead of a multi-level ranking scale. The present research aims at providing practitioners and road safety authorities with a flexible and easy-to-apply scheme that supports their work and responds to the new EU requirements. More precisely, it proposes a new methodological approach for the implementation of a risk-based network-wide road safety assessment. Building on the basic procedure of the RNS and applying the widely shared definition of risk (i.e., the combination of crash occurrence, severity, and exposure), an operational and flexible framework is devised, which integrates different raw data sources (i.e., road infrastructure, operational, environmental and context characteristics) and returns an evaluation of an entire road network. Specifically, the evaluation is performed through a road crash risk prediction model, in which all the risk components are estimated separately: road crash occurrence probability and road crash severity by mean of a binomial logit model, and crash exposure factor (i.e., traffic volumes) by mean of a multiple linear regression model. The identification of the most critical segment of the network is the main expected output, which is obtained by developing risk maps based on a five-levels ranking scale. Moreover, it is devised in compliance with the ISO 39001:2012 Standards, to facilitate the whole process and enables for qualification. To assess its applicability and effectiveness, the proposed methodology is tested over the main road network of the Province of Brescia (Lombardy Region - Italy), which represent an emblematic case study. Furthermore, it is compared to the alternative risk formulations retrieved from previous studies. Results highlighted the potential of the proposed methodology, its wide adaptability and easy interpretability. Furthermore, it allows the identification of critical segments of the net-work that the other assessment procedures are not able to detect.
Björkman, Peter. « Probabilistic Safety Assessment using Quantitative Analysis Techniques : Application in the Heavy Automotive Industry ». Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-163262.
Texte intégralEgilmez, Gokhan. « Road Safety Assessment of U.S. States : A Joint Frontier and Neural Network ModelingApproach ». Ohio University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1374854708.
Texte intégralSong, Weilian. « Image-Based Roadway Assessment Using Convolutional Neural Networks ». UKnowledge, 2019. https://uknowledge.uky.edu/cs_etds/78.
Texte intégralMaturana, Marcos Coelho. « Aplicação de Redes Bayesianas na análise da contribuição do erro humano em acidentes de colisão ». Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/3/3135/tde-11082010-165909/.
Texte intégralRecently, in the naval industry, the normalization of classification societies and IMO (International Maritime Organization) has presented a gradual change, going from prescriptive procedures to a regulatory structure based on risk. That perspective offers some advantages to operators and constructors: 1) greater capacity to incorporate innovations in design, technically superiors, at acceptable cost; 2) greater confidence as to security; 3) better understanding of hazardous events, the risks faced by new projects and measures of mitigation. Specifically in the oil sector, the analyze, evaluation, and management of risk are vital, in face of the accidents severity potential in respect to human life, environment and property. Given that the greater part of the accidents on this sector is caused by human factors, the purpose of this dissertation is present a methodology and efficient techniques to HRA (Human Reliability Analysis) that can be applied in this industry. During the last decades many techniques were developed to a quantitative study of the human reliability. In the eighties were developed some techniques based in the modeling by means of binaries trees. These techniques do not consider the representation of the context in which the human actions occur. Thus, the representation of individuals, their inter-relationships and dynamics of the system cannot be better worked by the application of these techniques. These issues became the improvement of the used methods for HRA a latent need. With the aim of extinguish, or attenuate at least, these weaknesses some authors proposed the modeling of the human system by means of Bayesians Network. It is expected that with the application of this tool can be suppressed great part of the deficiencies of the human action modeling by means of binaries trees. This work presents a brief description about the application of Bayesians Network in HRA. Additionally, is presented the application of this technique in the study of an oil tanker operation, focusing in the human factor quantification in scenarios of collision. Besides, are presented some considerations about the factors that can influence the human performance and the collision risk.
Subramani, Palanisamy Harisubramanyabalaji. « Risk Assessment based Data Augmentation for Robust Image Classification : using Convolutional Neural Network ». Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-153049.
Texte intégralGran, Bjørn Axel. « The use of Bayesian Belief Networks for combining disparate sources of information in the safety assessment of software based systems ». Doctoral thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2002. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-1679.
Texte intégralThe objective of the research has been to investigate the possibility to transfer the requirements of a software safety standard into Bayesian belief networks (BBNs). The BBN methodology has mainly been developed and applied in the AI society, but more recently it has been proposed to apply it to the assessment of programmable systems. The relation to AI application is relevant in the sense that the method reflects the way of an assessor's thinking during the assessment process. Conceptually, software reliability is almost impossible to compute, since many of the aspects of the software which influence the reliability are of qualitative nature and not directly measurable, but have to be estimated e.g. by expert judgement.
The conclusion from the research presented in this thesis is that the use of Bayesian Belief Networks for combining disparate sources of information in the safety assessment of software based systems, combined with questionnaires, offers a systematic way to combine quantitative and qualitative evidences of relevance for the safety assessment of programmable systems, e.g. in a licensing process or in a PSA analysis.
The BBN is constructed in two levels. The higher level is based on the four qualities: quality of the producer, quality of the production, quality of the product, and quality of the analysis. The higher-level BBN is general, and independent of the standard, and is based on the research discussed in chapter 2. The lower-level BBNs reflect the recommendations of RTCA/DO-178B. Each top node of the lower-level BBNs is linked to intermediate nodes representing the 10 lifecycle stages identified in DO-178B. Each of these nodes are again linked to other intermediate nodes, representing the objectives of each lifecycle. The further proposed step is to identify a list of questions to each objective. In the described research these questions are based on the understanding of the text in the main part of DO-178B, and formulated so that the answer could be given by a "yes" or a "no".
For both the higher and lower level networks there is a need for further validation. This is demonstrated through the experimental investigation with the BBNs. However, a hypothesis is that a reallocation of objectives or questions only will give local (or partial) effects, and not changes in the overall assessment. A reason for this could be that there are a few "soft evidences" and dependencies connecting these evidences that are more sensitive than the other. So fare, there has, however, not been possible to find such evidences.
Although the BBNs and results are based upon a real application, this approach has not been applied to a real development or assessment. A first try could be to apply the approach for decision support in the approval of safety critical programmable systems. Another try could be to apply the approach as decision support early in the development of a system, in order to point on where to set in the effort and thus being able to reach specific objectives of the final product.
The establishment of the BBNs and prior probability distributions can be rather time consuming. However, the process of building up the network, e.g. by making questionnaires, and doing the elicitation of the prior distributions related to a standard (RTCA/DO-178B), and not to the actual system, implies that the network and questions are of a general nature, and can be reused in many applications. They can also be gradually improved based on experience. The experiences with modelling the requirements of the avionics standard RTCA/DO-178B as BBNs, point in the direction that this approach can be transferred to the modelling of other software standards built on the same basic framework, and which follow the same principles. This holds even though they may differ in the aspect they put special emphasis on.
Conceptually, estimation of the dependability of programmable systems is nearly impossible to compute, since many of the characteristics to be considered are of qualitative nature and not directly measurable, but have to be estimated. The most difficult activity in the experiment described was to perform the expert judgment, in particular in the assignment of values to the conditional probability distributions. Even if some of the project members can be considered as experts within their fields, it is highly recommendable to make use of some expert judgment tools or expert judgment expertise. Note also that knowledge within BBN and probabilistic theory is of great advantage in the construction of the networks and the assessment of the probability distributions, and also an advantage in the evaluation of the results from the computations.
Vyčítal, Václav. « Pravděpodobnostní přístup pro hodnocení zemnících soustav ». Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-414160.
Texte intégralMaturana, Marcos Coelho. « Consideração da confiabilidade humana na concepção de sistemas complexos : desenvolvimento e aplicação da TECHR ». Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3135/tde-29062017-082417/.
Texte intégralPSA (Probabilistic Safety Assessment) is an industrial plant issue that has evolved with the complexity of systems. Initially, tools and techniques have been developed with the main purpose of analyzing operational plants, enabling the identification of phenomena and fault mechanisms hitherto not highlighted. With the evolution of accidents studies, some techniques applicable to pre-operational phases were developed in order to reduce the risks in operation. Therefore, a number of techniques adequate to analyze ready or near completion designs can be found. The same is not observed for the early design phase. Despite this, more and more experts in the risk assessment field suggest that safety considerations are most effective when assessed over the whole life of critical systems. Probabilistic safety analyses performed worldwide in various industries help us understand the consensus on the potential contribution of these analyses for developing new systems. To exploit this potential, it is essential to develop processes and prospective models that are simple, quantitative, realistic, able to feed analyses at the design stage and to bring results that can be interpreted by the professionals involved in the decision making process. These considerations are extended to HRA (Human Reliability Analysis), i.e., there are few tools that consider operational aspects, especially human performance, during the design phase. The recognized contribution of the human factor in accidents involving complex systems - sometimes attributed to the lack of suitable tools for its consideration in the design phase - further highlights this gap. In this context, this thesis presents a methodology and a technique developed for the early consideration of human reliability in complex systems design, and: 1) the development of this methodology has prioritized the easy understanding of its steps and results, i.e., its intelligibility for people involved in the system design has been sought, with expertise in HRA or not, and; 2) the technique for early consideration of human reliability (TECHR) was designed for developing a prospective human performance model that can be exploited in the system design phase, and is based on the use of expert opinion in relation to systems that operate or have operated in recent years to obtain estimates of the probabilities of the various types of human error that may occur during the performance of a specific action. The proposed methodology and technique result in a simple procedure capable of producing useful models for the design phase, representing an original contribution to the state of the art of systems conception under uncertainty.
MINNUCCI, LUCIA. « An improved procedure for the seismic fragility analysis of existing bridges and implementation within a comprehensive probabilistic framework for the risk assessment ». Doctoral thesis, Università Politecnica delle Marche, 2021. http://hdl.handle.net/11566/289535.
Texte intégralThe safety of infrastructural systems is of paramount importance since high socio-economic impacts on the society would be expected in case of disruptions or people life could be seriously endangered in case of severe damages or collapses. The analysis of the vulnerability of bridges is classically carried out through the adoption of fragility curves, which express the probability of exceedance of a certain performance level conditional to a certain level of hazard intensity. However, it is common practice to use fragility curves to only provide a global overview of the bridge vulnerability, with scarce attention to the damage extension or the evolution of different failure mechanisms that may potentially verify within the structure. Indeed, it is worth noting that bridges may show different damage mechanisms, occurring in one or multiple structural components, that differently contribute to the overall fragility of the system and potentially lead to different post-disaster scenarios. In light of this drawback and considering also that an optimal, comprehensive and robust probabilistic framework for the risk assessment is not yet available, the present Thesis aims to provide some insights and original contributions for a state-of-the-art enrichment in the field of the safety of infrastructural systems. Advancements are indeed made on the following main subjects: fragility curves, with an innovative approach for a proper estimation of the bridge vulnerability, based on both a quantitative and qualitative assessment of failure mechanisms that may occur during a seismic event; analysis of Soil-Structure Interaction (SSI) effects through simple formulas estimating the behaviour of pile foundations (a common choice in case of bridge structures) and easy to be implemented for a reliable fragility and risk analysis; proposal of a holistic framework for the risk assessment and the quantification of consequences of a hazardous event in monetary terms, taking into account aspects such as SSI, degradation and maintenance; analysis of the effects of uncertainties affecting the combined pile-soil system for the probabilistic characterization of impedance functions and kinematic response factors of deep foundations in homogeneous soils. The Italian transport system is chosen as scenario for the applications of the present Thesis, since it is particularly emblematic due to the high vulnerability and the important critical issues presented by the existing road networks. Two different bridge typologies are considered: Reinforced Concrete Link Slab bridges and Steel-Concrete Composite bridges. Being very widespread, such typologies result representative of most of the bridges and viaducts present over the Italian territory, and examples can also be found in the international panorama. The choice of significative case studies allows to prove the potentialities of the proposed fragility estimation methodology and the relevance of the SSI problem in the bridge vulnerability assessment as well as to characterise the vulnerability of the Italian infrastructures with a higher level of detail, including degradation and SSI phenomena. Moreover, the choice of structural configurations is suitable for the characterization of a regional scenario, such as the one of Marche region. Then, fragility results are applied at road network level for the quantification of the impact of post-earthquake scenarios in economic terms throughout the proposed probabilistic framework. Finally, as part of the framework, a novel probabilistic characterization of the response of deep foundations in homogeneous soil is provided to evaluate effects of uncertainties in the embedded system. Although presented for the seismic problem and within the Italian context, the proposed methodologies are flexible enough to be easily extended to further applications involving other road network scenarios (and bridge typologies) and different natural hazards.
Livres sur le sujet "Network safety assessments"
A Practical Guide to Security Assessments. London : Taylor and Francis, 2004.
Trouver le texte intégralTransport, European Commission Directorate-General, dir. ACRUDA : Assessment and certification rules for digital architectures. Luxembourg : Office for Official Publications of the European Communities, 1999.
Trouver le texte intégral1963-, LaTourrette Tom, et National Institute for Occupational Safety and Health, dir. Protecting emergency responders, volume 2 : Community views of safety and health risks and personal protection needs. Santa Monica, CA : Rand, 2003.
Trouver le texte intégralRecombinant DNA safety considerations : Safety considerations for industrial, agricultural, and environmental applications of organisms derived by recombinant DNA techniques. Paris : Organisation for Economic Co-operation and Development, 1986.
Trouver le texte intégralDonna, Farley, Rand Corporation et United States. Agency for Healthcare Research and Quality., dir. Assessment of the AHRQ patient safety initiative : Moving from research to practice evaluation report II (2003-2004). Santa Monica, CA : RAND Corp., 2007.
Trouver le texte intégralDonna, Farley, dir. Assessment of the AHRQ patient safety initiative : Focus on implementation and dissemination evaluation report III (2004-2005). Santa Monica, CA : RAND Corp., 2007.
Trouver le texte intégralOrganisation for Economic Co-operation and Development. et OECD Futures Project on Risk Management Policies., dir. Sweden : The safety of older people. Paris, France : Organisation for Economic Co-operation and Development, 2006.
Trouver le texte intégralUnderstanding Aviation Safety Data : Using the Internet and Other Sources to Analyze Air Travel Risk. SAE International, 2000.
Trouver le texte intégralA Practical Guide to Security Assessments. AUERBACH, 2004.
Trouver le texte intégralUnnikrishnan, G. Oil and Gas Processing Equipment : Risk Assessment with Bayesian Networks. Taylor & Francis Group, 2020.
Trouver le texte intégralChapitres de livres sur le sujet "Network safety assessments"
Hinrichs, Torge, et Bettina Buth. « Potential Use of Safety Analysis for Risk Assessments in Smart City Sensor Network Applications ». Dans Lecture Notes in Computer Science, 117–26. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26250-1_9.
Texte intégralMuller, Alexandre, Marie-Christine Suhner et Benoît Iung. « Bayesian Network-based Proactive Maintenance ». Dans Probabilistic Safety Assessment and Management, 2066–71. London : Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_332.
Texte intégralPaul, Pangkaj Chandra, John Loane, Fergal McCaffery et Gilbert Regan. « A Serverless Architecture for Wireless Body Area Network Applications ». Dans Model-Based Safety and Assessment, 239–54. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32872-6_16.
Texte intégralRzepka, Bettina, Michael Wacker et Bernd Bertsche. « Design of a Reliability Information System by a Semantic Network ». Dans Probabilistic Safety Assessment and Management, 3491–96. London : Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_558.
Texte intégralBasagiannis, Stylianos, et Panagiotis Katsaros. « Formal Verification of Network Interlocking Control by Distributed Signal Boxes ». Dans Model-Based Safety and Assessment, 204–21. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32872-6_14.
Texte intégralGran, Bjørn Axel, et Atte Helminen. « A Bayesian Belief Network for Reliability Assessment ». Dans Computer Safety, Reliability and Security, 35–45. Berlin, Heidelberg : Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45416-0_4.
Texte intégralFedele, Lorenzo, et Massimo Tronci. « Neural Networks for Aeronautical Components Maintenance and Management ». Dans Probabilistic Safety Assessment and Management, 1283–88. London : Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_207.
Texte intégralLee, Chang-Ju, et Kun-Jai Lee. « Application of Bayesian Network Considering the Special Dependency to Stochastic Events ». Dans Probabilistic Safety Assessment and Management, 2866–71. London : Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_459.
Texte intégralCelso, Angelo, Diego D’Urso, Natalia Trapani et Sebastiano Spampinato. « Early Detection of Gas Dispersion Accident through a Neural Network Based Expert System ». Dans Probabilistic Safety Assessment and Management, 3697–702. London : Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-410-4_591.
Texte intégralTang, Xiangyan, Meizhu Chen, Jieren Cheng, Jinying Xu et Hui Li. « A Security Situation Assessment Method Based on Neural Network ». Dans Cyberspace Safety and Security, 579–87. Cham : Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-37352-8_52.
Texte intégralActes de conférences sur le sujet "Network safety assessments"
de Boon, Johan, Marco A. Roosen, Dick G. Schaafsma et Max A. N. Hendriks. « Nonlinear finite element analysis for structural assessment of existing bridges : network manager experiences ». Dans IABSE Congress, Ghent 2021 : Structural Engineering for Future Societal Needs. Zurich, Switzerland : International Association for Bridge and Structural Engineering (IABSE), 2021. http://dx.doi.org/10.2749/ghent.2021.0933.
Texte intégralde Boon, Johan, Marco A. Roosen, Dick G. Schaafsma et Max A. N. Hendriks. « Nonlinear finite element analysis for structural assessment of existing bridges : network manager experiences ». Dans IABSE Congress, Ghent 2021 : Structural Engineering for Future Societal Needs. Zurich, Switzerland : International Association for Bridge and Structural Engineering (IABSE), 2021. http://dx.doi.org/10.2749/ghent.2021.0933.
Texte intégralRamanayake, Shirantha, et Niranga Amarasingha. « Investigating a method for rating Sri Lankan roads through identifying the factors affecting road safety ». Dans The SLIIT International Conference on Engineering and Technology 2022. Faculty of Engineering, SLIIT, 2022. http://dx.doi.org/10.54389/wdmg5266.
Texte intégralSousa, F., J. Matos et A. Camões. « Assessment and Forecast of the Culvert’s Performance Within a Road Infrastructure Management System. Literature Review ». Dans IABSE Symposium, Wroclaw 2020 : Synergy of Culture and Civil Engineering – History and Challenges. Zurich, Switzerland : International Association for Bridge and Structural Engineering (IABSE), 2020. http://dx.doi.org/10.2749/wroclaw.2020.1157.
Texte intégralGrove, Brenden, Jacob McGregor, Rory DeHart, Ron Dusterhoft, Neil Stegent et Avrami Grader. « Frac Charge Performance at Downhole Conditions : Assessments and Implications ». Dans SPE Hydraulic Fracturing Technology Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/204204-ms.
Texte intégralSmith, Michael C. « Code Based Failure Avoidance Assessments of the NESC-1 Large Scale Pressurised Thermal Shock Experiment ». Dans ASME 2002 Pressure Vessels and Piping Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/pvp2002-1183.
Texte intégralBearfield, G. « Taking Safe Decisions and the CSM on Risk Evaluation and Assessment ». Dans Railway Safety Assurance : Management and Method in a Safe Network. Institution of Engineering and Technology, 2014. http://dx.doi.org/10.1049/ic.2014.0034.
Texte intégralBlanquart, Jean-Paul, Philippe Baufreton, Jean-Louis Boulanger, Jean-Louis Camus, Cyrille Comar, Herve Delseny, Jean Gassino, Emmanuel Ledinot, Philippe Quere et Bertrand Ricque. « Software Safety Assessment and Probabilities ». Dans 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W). IEEE, 2016. http://dx.doi.org/10.1109/dsn-w.2016.19.
Texte intégralLiwång, Hans, et Jonas W. Ringsberg. « Ship Security Analysis : The Effect of Ship Speed and Effective Lookout ». Dans ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10166.
Texte intégralLuxhøj, James T., et Trefor P. Williams. « A Bayesian Belief Network for Aircraft Tire Condition Assessment ». Dans Advances In Aviation Safety Conference & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States : SAE International, 1998. http://dx.doi.org/10.4271/981213.
Texte intégralRapports d'organisations sur le sujet "Network safety assessments"
Klobucar, Michael, et Jon Fricker. Feasibility Study for Bicycle Safety : Data Assessment and Network Evaluation. West Lafayette, IN : Purdue University, 2006. http://dx.doi.org/10.5703/1288284313372.
Texte intégralYang, Kai, Jun Zeng, Wenjing Dai, Meifeng Chen et Fan Yang. A Bayesian Network Meta-analysis for Comparative Safety Assessment of Favipiravir Interventions in Hospitalized Covid-19 Patients. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, octobre 2021. http://dx.doi.org/10.37766/inplasy2021.10.0099.
Texte intégralLi, Qu, Xue-Ping Ma, Alimujiang Simayi, Xiao-Li Wang et Gui-Ping Xu. Comparative efficacy of various pharmacologic treatments of alcohol withdrawal syndrome : A systematic review and network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, décembre 2021. http://dx.doi.org/10.37766/inplasy2021.12.0010.
Texte intégralIrudayaraj, Joseph, Ze'ev Schmilovitch, Amos Mizrach, Giora Kritzman et Chitrita DebRoy. Rapid detection of food borne pathogens and non-pathogens in fresh produce using FT-IRS and raman spectroscopy. United States Department of Agriculture, octobre 2004. http://dx.doi.org/10.32747/2004.7587221.bard.
Texte intégralKnibb, Rebecca, Lily Hawkins et Dan Rigby. Food Sensitive Study : Wave Two Survey. Food Standards Agency, septembre 2022. http://dx.doi.org/10.46756/sci.fsa.nyx192.
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