Literatura académica sobre el tema "Fuzzy RPN"
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Artículos de revistas sobre el tema "Fuzzy RPN"
OLUWOLE, AYODELE OLUWASEGUN, BABATUNDE OMONIYI ODEDAIRO y VICTOR OLUWASINA OLADOKUN. "MANAGING SUPPLY CHAIN RISKS: A FUZZY-FAILURE MODE AND EVALUATION APPROACH FOR RANKING THREATS". Journal of Engineering Studies and Research 27, n.º 4 (15 de diciembre de 2021): 60–69. http://dx.doi.org/10.29081/jesr.v27i4.300.
Texto completoWu, Xiaojun y Jing Wu. "The Risk Priority Number Evaluation of FMEA Analysis Based on Random Uncertainty and Fuzzy Uncertainty". Complexity 2021 (26 de febrero de 2021): 1–15. http://dx.doi.org/10.1155/2021/8817667.
Texto completoOfanson U, Tamunodukobipi D.T y Nitonye S. "Failure mode effects and criticality analysis (FMECA) using fuzzy logic for ship dynamic positioning (DP) systems". Global Journal of Engineering and Technology Advances 13, n.º 1 (30 de octubre de 2022): 038–52. http://dx.doi.org/10.30574/gjeta.2022.13.1.0170.
Texto completoJee, Tze Ling, Kai Meng Tay y Chee Khoon Ng. "Enhancing a Fuzzy Failure Mode and Effect Analysis Methodology with an Analogical Reasoning Technique". Journal of Advanced Computational Intelligence and Intelligent Informatics 15, n.º 9 (20 de noviembre de 2011): 1203–10. http://dx.doi.org/10.20965/jaciii.2011.p1203.
Texto completoWidianti, Tri y Himma Firdaus. "PENGUJIAN SUHU LEMARI ES DENGAN METODE TERINTEGRASI FUZZYFAILURE MODE AND EFFECT ANALYSIS (FUZZY-FMEA)". Jurnal Standardisasi 18, n.º 1 (9 de mayo de 2018): 9. http://dx.doi.org/10.31153/js.v18i1.693.
Texto completoRachieru, Nicoleta, Nadia Belu y Daniel Constantin Anghel. "Evaluating the Risk of Failure on Injection Pump Using Fuzzy FMEA Method". Applied Mechanics and Materials 657 (octubre de 2014): 976–80. http://dx.doi.org/10.4028/www.scientific.net/amm.657.976.
Texto completoGodina, Radu, Beatriz Gomes Rolis Silva y Pedro Espadinha-Cruz. "A DMAIC Integrated Fuzzy FMEA Model: A Case Study in the Automotive Industry". Applied Sciences 11, n.º 8 (20 de abril de 2021): 3726. http://dx.doi.org/10.3390/app11083726.
Texto completoBonato, Jasminka, Martina Badurina y Julijan Dobrinić. "Parameters Assessment of the FMEA Method by Means of Fuzzy Logic". Journal of Maritime & Transportation Science 2, Special edition 2 (abril de 2018): 123–32. http://dx.doi.org/10.18048/2018-00.123.
Texto completoDomán, László. "Fuzzy FMEA risk assessment approach for IFF system in military helicopters using Matlab R2022A". Katonai Logisztika 30, n.º 1-2 (2022): 101–29. http://dx.doi.org/10.30583/2022-1-2-101.
Texto completoKaramoozian, Amirhossein y Desheng Wu. "A hybrid risk prioritization approach in construction projects using failure mode and effective analysis". Engineering, Construction and Architectural Management 27, n.º 9 (9 de mayo de 2020): 2661–86. http://dx.doi.org/10.1108/ecam-10-2019-0535.
Texto completoTesis sobre el tema "Fuzzy RPN"
Umofia, Anietie Nnana. "Risk-based Reliability Assessment of Subsea Control module for Offshore Oil and Gas production". Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9256.
Texto completoMendes, Amanda dos Santos. "Gráficos de controle fuzzy para o monitoramento da média e amplitude de processos univariados /". Guaratinguetá, 2019. http://hdl.handle.net/11449/180937.
Texto completoResumo: O controle de qualidade, principalmente por meio do uso de gráficos de controle, torna-se essencial na indústria para garantir um processo livre de causas especiais de variabilidade. Como os dados amostrais podem incluir incertezas advindas da subjetividade humana e dos sistemas de medição, a teoria dos conjuntos fuzzy pode ser aplicada aos gráficos de controle quando dados precisos não estiverem disponíveis. Para tal feito, os valores da característica de qualidade são fuzzificados a partir da inserção de incertezas e transformados em valores representativos para uma melhor comparação com o gráfico de controle tradicional. Este trabalho propõe o uso da lógica fuzzy aos gráficos de controle para monitorar a média e a amplitude de processos univariados, assim como dois gráficos de controle fuzzy baseados nas regras especiais de decisão: Synthetic e Side Sensitive Synthetic. O desempenho do gráfico de controle é medido pelo número médio de amostras até sinal (NMA). Verificou-se neste trabalho que os gráficos de controle fuzzy possuem maior eficiência que os gráficos de controle tradicionais para menores valores de α-cut, ou seja, maior incerteza inserida no processo e para cenários onde se tem uma maior diferença entre os limitantes de incerteza dos números fuzzy.
Abstract: Quality control, mainly through the use of control charts, becomes essential in the industry to ensure a process free from special causes of variability. As sample data may include uncertainties arising from human subjectivity and measurement systems, fuzzy set theory can be applied to control charts when accurate data is not available. For this purpose, the quality characteristic values are fuzzified from the insertion of uncertainties and transformed into representative values for a better comparison with the traditional control chart. This work proposes the use of fuzzy logic to control charts to monitor the mean and range of univariate processes, as well as two fuzzy control charts based on the special run rules: Synthetic and Side Sensitive Syntehtic. The performance of the control chart is measured by the average run length (ARL). It was verified in this work that the fuzzy control charts have higher efficiency than the traditional control charts for lower values of α-cut, that is, greater uncertainty inserted in the process and for scenarios where there is a greater difference between the limiting uncertainties of fuzzy numbers.
Mestre
Kamgueu, Patrick Olivier. "Configuration dynamique et routage pour l'internet des objets". Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0241/document.
Texto completoIn recent years, the growing interest of scientific and industrial community has led to the standardization of new protocols that consider the unique requirements of Wireless Sensor Networks (WSN) nodes. At network layer, RPL (IPv6 Routing Protocol for Low-power and Lossy Network) has been proposed by IETF as the routing standard for network that uses LLN nodes, namely, those where both nodes and their interconnects are constrained. They operate on low-power embedded batteries and use lossy links, making communications unreliable and lead to a significant data loss rates. This thesis aims to optimize the routing in WSNs (especially those using TCP/IP protocol stack), as well as their efficient and cost-effective connection to the Internet. First, we have proposed two new RPL objective functions. The first uses as unique routing criterion, the node remaining energy with the goal of maximizing the network lifetime. An energy model that allows the nodes to dynamically estimate their remaining energy at runtime has been implemented and integrate to the protocol. The second objective function uses fuzzy logic reasoning to combine several criteria to take Quality of Service into account. Indeed, this scheme provides a good trade-off on several inputs and requires a low memory footprint. In the last part of this thesis, we designed and implemented an architecture that enable an efficient integration of several RPL based WSNs to the Internet to achieve the Internet of Things vision
RUPENDER. "DEVELOPMENT OF A INTEGRATED FTA AND FMEA APPROACH FOR FAILURE ANALYSIS OF SOLAR PHOTOVOLTAIC SYSTEMS". Thesis, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19749.
Texto completoSHIH, YU-CHU y 施語筑. "QoS routing mechanism based on RPL with fuzzy logic in wireless sensor network". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/x2teqb.
Texto completoSigwele, Tshiamo, Prashant Pillai y Yim Fun Hu. "Elastic call admission control using fuzzy logic in virtualized cloud radio base stations". 2015. http://hdl.handle.net/10454/11129.
Texto completoConventional Call Admission Control (CAC) schemes are based on stand-alone Radio Access Networks (RAN) Base Station (BS) architectures which have their independent and fixed spectral and computing resources, which are not shared with other BSs to address their varied traffic needs, causing poor resource utilization, and high call blocking and dropping probabilities. It is envisaged that in future communication systems like 5G, Cloud RAN (C-RAN) will be adopted in order to share this spectrum and computing resources between BSs in order to further improve the Quality of Service (QoS) and network utilization. In this paper, an intelligent Elastic CAC scheme using Fuzzy Logic in C-RAN is proposed. In the proposed scheme, the BS resources are consolidated to the cloud using virtualization technology and dynamically provisioned using the elasticity concept of cloud computing in accordance to traffic demands. Simulations shows that the proposed CAC algorithm has high call acceptance rate compared to conventional CAC.
Sigwele, Tshiamo, Prashant Pillai, Atm S. Alam y Yim Fun Hu. "Fuzzy-Logic Based Call Admission Control in 5G Cloud Radio Access Networks with Pre-emption". 2017. http://hdl.handle.net/10454/13203.
Texto completoFifth generation (5G) cellular networks will be comprised of millions of connected devices like wearable devices, Androids, iPhones, tablets and the Internet of Things (IoT) with a plethora of applications generating requests to the network. The 5G cellular networks need to cope with such sky-rocketing tra c requests from these devices to avoid network congestion. As such, cloud radio access networks (C-RAN) has been considered as a paradigm shift for 5G in which requests from mobile devices are processed in the cloud with shared baseband processing. Despite call admission control (CAC) being one of radio resource management techniques to avoid the network congestion, it has recently been overlooked by the community. The CAC technique in 5G C-RAN has a direct impact on the quality of service (QoS) for individual connections and overall system e ciency. In this paper, a novel Fuzzy-Logic based CAC scheme with pre-emption in C-RAN is proposed. In this scheme, cloud bursting technique is proposed to be used during congestion, where some delay tolerant low-priority connections are pre-empted and outsourced to a public cloud with a penalty charge. Simulation results show that the proposed scheme has low blocking probability below 5%, high throughput, low energy consumption and up to 95% of return on revenue.
Sobral, José Victor Vasconcelos. "Performance Assessment of Routing Protocols for IoT/6LoWPAN Networks". Doctoral thesis, 2020. http://hdl.handle.net/10400.6/11158.
Texto completoA Internet das Coisas, do inglês Internet of Things (IoT), propõe um paradigma de comunicação disruptivo para possibilitar que dispositivos, que podem ser dotados de comportamentos autónomos ou inteligentes, troquem dados entre eles buscando alcançar um objetivo comum. Os cenários de aplicação do IoT são muito variados e podem abranger desde um simples sistema de iluminação para casa até o controle total de uma linha de produção industrial. Na maioria das instalações IoT, as “coisas” são equipadas com um pequeno dispositivo, responsável por realizar as tarefas de comunicação e processamento de dados, que pode sofrer com severas restrições de hardware e energia. Assim, devido às suas características, a rede de comunicação criada por esses dispositivos é geralmente categorizada como uma Low Power and Lossy Network (LLN). A grande variedade de cenários IoT representam uma questão crucial para as LLNs, que devem oferecer suporte aos diferentes requisitos das aplicações, além de manter níveis de qualidade de serviço, do inglês Quality of Service (QoS), adequados. Baseado neste desafio, os protocolos de encaminhamento constituem um aspecto chave na implementação de cenários IoT. Os protocolos de encaminhamento são responsáveis por criar os caminhos entre os dispositivos e permitir suas interações. Assim, o desempenho e as características da rede são altamente dependentes do comportamento destes protocolos. Adicionalmente, com base no protocolo adotado, o suporte a alguns requisitos específicos das aplicações de IoT podem ou não ser fornecidos. Portanto, estes protocolos devem ser projetados para atender as necessidades das aplicações assim como considerando as limitações do hardware no qual serão executados. Procurando atender às necessidades dos protocolos de encaminhamento em LLNs e, consequentemente, das redes IoT, a Internet Engineering Task Force (IETF) desenvolveu e padronizou o IPv6 Routing Protocol for Low Power and Lossy Networks (RPL). O protocolo, embora seja robusto e ofereça recursos para atender às necessidades de diferentes aplicações, apresenta algumas falhas e fraquezas (principalmente relacionadas com a sua alta complexidade e necessidade de memória) que limitam sua adoção em cenários IoT. Em alternativa ao RPL, o Lightweight On-demand Ad hoc Distance-vector Routing Protocol – Next Generation (LOADng) emergiu como uma solução de encaminhamento menos complexa para as LLNs. Contudo, o preço da simplicidade é pago com a falta de suporte adequado para um conjunto de recursos essenciais necessários em muitos ambientes IoT. Assim, inspirado pelas desafiadoras questões ainda em aberto relacionadas com o encaminhamento em redes IoT, esta tese tem como objetivo estudar e propor contribuições para melhor atender os requisitos de rede em cenários IoT. Uma profunda e abrangente revisão do estado da arte sobre os protocolos de encaminhamento adotados em IoT identificou os pontos fortes e limitações das soluções atuais. Com base nas debilidades encontradas, um conjunto de soluções de melhoria é proposto para superar carências existentes e melhorar o desempenho das redes IoT. As novas soluções são propostas para incluir um suporte confiável e eficiente capaz atender às necessidades das aplicações IoT relacionadas com suporte à mobilidade, heterogeneidade dos dispositivos e diferentes padrões de tráfego. Além disso, são introduzidos mecanismos para melhorar o desempenho da rede em cenários IoT que integram dispositivos com diferentes tecnologias de comunicação. Os vários estudos realizados para mensurar o desempenho das soluções propostas mostraram o grande potencial do conjunto de melhorias introduzidas. Quando comparadas com outras abordagens existentes na literatura, as soluções propostas nesta tese demonstraram um aumento do desempenho consistente para métricas relacionadas a qualidade de serviço, uso de memória, eficiência energética e de rede, além de adicionar novas funcionalidades aos protocolos base. Portanto, acredita-se que as melhorias propostas contribuiem para o avanço do estado da arte em soluções de encaminhamento para redes IoT e aumentar a adoção e utilização dos protocolos estudados.
Libros sobre el tema "Fuzzy RPN"
Yamamoto, Kōji. Faji kanri kaikei shisutemu-ron. Sakai-shi: Ōsaka Furitsu Daigaku Keizai Gakubu, 1992.
Buscar texto completoHan yu ci lei de ren zhi yan jiu he mo hu hua fen: A cognitive investigation and fuzzy classification of word-class in mandarin Chinese. Shanghai: Shanghai jiao yu chu ban she, 2010.
Buscar texto completoCapítulos de libros sobre el tema "Fuzzy RPN"
Yan, Chun, Meixuan Li y Wei Liu. "Power Transformer Fault Diagnosis Based on Improved Bat Algorithms to Optimize RNN". En Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery, 531–38. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32456-8_58.
Texto completoKiraz, Murat Ugur y Atinc Yilmaz. "Comparison of ML Algorithms to Detect Vulnerabilities of RPL-Based IoT Devices in Intelligent and Fuzzy Systems". En Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation, 254–62. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85577-2_30.
Texto completowunder, june, Arthur Azevedo de Amorim, Patrick Baillot y Marco Gaboardi. "Bunched Fuzz: Sensitivity for Vector Metrics". En Programming Languages and Systems, 451–78. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-30044-8_17.
Texto completoKabadayi, Nihan. "Fuzzy Hybrid FMEA for Risk Assessment in Service Industry". En Advances in Systems Analysis, Software Engineering, and High Performance Computing, 43–75. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7564-2.ch003.
Texto completoPanchal, Dilbagh, Prasenjit Chatterjee, Morteza Yazdani y Shankar Chakraborty. "A Hybrid MCDM Approach-Based Framework for Operational Sustainability of Process Industry". En Advances in Environmental Engineering and Green Technologies, 1–13. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8579-4.ch001.
Texto completoBalluff, Stefan, Jörg Bendfeld y Stefan Krauter. "Meteorological Data Forecast using RNN". En Deep Learning and Neural Networks, 905–20. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0414-7.ch050.
Texto completoXing, Hao, Zhike Han y Yichen Shen. "ClothNet: A Neural Network Based Recommender System". En Fuzzy Systems and Data Mining VI. IOS Press, 2020. http://dx.doi.org/10.3233/faia200706.
Texto completoMhetre, Nalini A., Arvind V. Deshpande y Parikshit Narendra Mahalle. "Trust Management Model based on Fuzzy Approach for Ubiquitous Computing". En Securing the Internet of Things, 398–412. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9866-4.ch022.
Texto completoBorgeest, Kai y Peter Josef Schneider. "Comparison of Control Strategies by the Example of the Cooling Fan Control of a Mobile Machine". En Advances in Computational Intelligence and Robotics, 500–526. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7387-8.ch017.
Texto completoToapanta Toapanta, Segundo Moisés, Yaritza Julieth Terán Terranova, Bertha Alice Naranjo Sánchez y Luis Enrique Mafla Gallegos. "Security and Privacy in Information Management in a Distributed Environment for Public Organizations". En Fuzzy Systems and Data Mining VI. IOS Press, 2020. http://dx.doi.org/10.3233/faia200716.
Texto completoActas de conferencias sobre el tema "Fuzzy RPN"
Sankar, Nune Ravi y Bantwal S. Prabhu. "A Revised Matrix FMEA Technique Based on Fuzzy Logic". En ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/rsafp-14472.
Texto completoLudwig, Simone A. "Comparison of Time Series Approaches applied to Greenhouse Gas Analysis: ANFIS, RNN, and LSTM". En 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2019. http://dx.doi.org/10.1109/fuzz-ieee.2019.8859013.
Texto completoLewallen, Colby. "Wavelet-Based Time-Frequency Control of a Flywheel Energy Storage System". En ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-67682.
Texto completoZernov, M. M. y V. V. Mladov. "Associative methods of fuzzy operations implementation". En 2017 Second Russia and Pacific Conference on Computer Technology and Applications (RPC). IEEE, 2017. http://dx.doi.org/10.1109/rpc.2017.8168098.
Texto completoLi, Xiaojun, Alan Palazzolo y Zhiyang Wang. "Rotating Machinery Monitoring and Fault Diagnosis With Neural Network Enhanced Fuzzy Logic Expert System". En ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-58102.
Texto completoPopova, Daria. "Neuro-Fuzzy Modeling of Compressor Unit Performance". En 2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC). IEEE, 2018. http://dx.doi.org/10.1109/rpc.2018.8482214.
Texto completoFedulov, Yaroslav Alexandrovich, Vadim Vladimirovich Borisov y Alexander Sergeevich Fedulov. "Fuzzy Model and Method of Rating University Evaluation". En 2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC). IEEE, 2018. http://dx.doi.org/10.1109/rpc.2018.8482176.
Texto completoKorshunova, Kseniya P. "A Convolutional Fuzzy Neural Network for Image Classification". En 2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC). IEEE, 2018. http://dx.doi.org/10.1109/rpc.2018.8482211.
Texto completoLv Chong, Pang Yong-Jie y Li Ye. "Fuzzy neural network controller for AUV based on RAN". En 2009 Chinese Control and Decision Conference (CCDC). IEEE, 2009. http://dx.doi.org/10.1109/ccdc.2009.5195220.
Texto completoJenckel, Martin, Sourabh Sarvotham Parkala, Syed Saqib Bukhari y Andreas Dengel. "Impact of Training LSTM-RNN with Fuzzy Ground Truth". En 7th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006592703880393.
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