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Статті в журналах з теми "Robust Hybrid Method (RHM)":
Yaich, A., G. Kharmanda, A. El Hami, L. Walha, and M. Haddar. "Reliability Based Design Optimization for Multiaxial Fatigue Damage Analysis Using Robust Hybrid Method." Journal of Mechanics 34, no. 5 (July 6, 2017): 551–66. http://dx.doi.org/10.1017/jmech.2017.44.
Ha, La Phan Phuong, Tran Hong Huy, Pham Huu Huan, Nguyen Thi Minh Thu, Cao Minh Thi, and Pham Van Viet. "Peroxymonosulfate Activation on a Hybrid Material of Conjugated PVC and TiO2 Nanotubes for Enhancing Degradation of Rhodamine B under Visible Light." Advances in Polymer Technology 2020 (November 25, 2020): 1–9. http://dx.doi.org/10.1155/2020/8888767.
Aziguli, Wulamu, Yuanyu Zhang, Yonghong Xie, Dezheng Zhang, Xiong Luo, Chunmiao Li, and Yao Zhang. "A Robust Text Classifier Based on Denoising Deep Neural Network in the Analysis of Big Data." Scientific Programming 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/3610378.
Del Razo Gonzalez, Abraham, and Vsevolod Yutsis. "Robust 3D Joint Inversion of Gravity and Magnetic Data: A High-Performance Computing Approach." Applied Sciences 13, no. 20 (October 14, 2023): 11292. http://dx.doi.org/10.3390/app132011292.
Zhao, Siqi, Deliang Chen, Yawu Gao, Tao Li, Shasha Yi, Haipeng Ji, Xiaochao Zuo, et al. "One-Pot Synthesis of Fe–N–C Species-Modified Carbon Nanotubes for ORR Electrocatalyst with Overall Enhanced Performance Superior to Pt/C." Nano 16, no. 03 (February 16, 2021): 2150028. http://dx.doi.org/10.1142/s1793292021500284.
Nassereddine, Yassine, Manal Benyoussef, Nitul S. Rajput, Sébastien Saitzek, Mimoun El Marssi, and Mustapha Jouiad. "Strong Intermixing Effects of LFO1−x/STOx toward the Development of Efficient Photoanodes for Photoelectrocatalytic Applications." Nanomaterials 13, no. 21 (October 29, 2023): 2863. http://dx.doi.org/10.3390/nano13212863.
Vanjari, Prof Ms S. P., Vaishnavi Bhangale, Deepti Singh, Nitin Andhale, and Amruta Dalavi. "A Survey: Cryptography Techniques for Communication System." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (November 30, 2023): 1951–57. http://dx.doi.org/10.22214/ijraset.2023.56920.
Ma, Xiaoping, Lili Deng, Manting Lu, Yi He, Shuai Zou, and Yu Xin. "Heterostructure of core–shell IrCo@IrCoO x as efficient and stable catalysts for oxygen evolution reaction." Nanotechnology 33, no. 12 (December 24, 2021): 125702. http://dx.doi.org/10.1088/1361-6528/ac4068.
Townsend, Jamie F., László Könözsy, and Karl W. Jenkins. "On the development of a rotated-hybrid HLL/HLLC approximate Riemann solver for relativistic hydrodynamics." Monthly Notices of the Royal Astronomical Society 496, no. 2 (June 13, 2020): 2493–505. http://dx.doi.org/10.1093/mnras/staa1648.
Zhu, Qiang, Hui-Qiang Wang, Guang-Sheng Feng, Hong-Wu Lv, Zhen-Dong Wang, Xiu-Xiu Wen, and Wei Jiang. "A Hybrid Reliable Heuristic Mapping Method Based on Survivable Virtual Networks for Network Virtualization." Discrete Dynamics in Nature and Society 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/316801.
Дисертації з теми "Robust Hybrid Method (RHM)":
Bouguila, Maissa. "Μοdélisatiοn numérique et οptimisatiοn des matériaux à changement de phase : applicatiοns aux systèmes cοmplexes". Electronic Thesis or Diss., Normandie, 2024. http://www.theses.fr/2024NORMIR05.
Phase-change materials exhibit considerable potential in the field of thermal management.These materials offer a significant thermal storage capacity. Excessive heat dissipated by miniature electronic components could lead to serious failures. A cooling system based on phase-change materials is among the most recommended solutions to guarantee the reliable performance of these microelectronic components. However, the low conductivity of these materials is considered a major limitation to their use in thermal management applications. The primary objective of this thesis is to address the challenge of improving the thermal conductivity of these materials. Numerical modeling is conducted, in the first chapters, to determine the optimal configuration of a heat sink, based on the study of several parameters such as fin insertion, nanoparticle dispersion, and the use of multiple phase-change materials. The innovation in this parametric study lies in the modeling of heat transfer from phase-change materials with relatively high nanoparticle concentration compared to the low concentration found in recent literature (experimental researchs). Significant conclusions are deducted from this parametric study, enabling us to propose a new model based on multiple phase-change materials improved with nanoparticles (NANOMCP). Reliable optimization studies are then conducted. Initially, a mono-objective reliability optimization study is carried out to propose a reliable and optimal model based on multiple NANOMCPs. The Robust Hybrid Method (RHM)proposes a reliable and optimal model, compared with the Deterministic Design Optimization method (DDO) and various Reliability Design Optimization methods (RBDO). Furthermore,the integration of a developed RBDO method (RHM) for the thermal management applicationis considered an innovation in recent literature. Additionally, a reliable multi-objective optimization study is proposed, considering two objectives: the total volume of the heat sink and the discharge time to reach ambient temperature. The RHM optimization method and the non-dominated sorting genetics algorithm (C-NSGA-II) were adopted to search for the optimal and reliable model that offers the best trade-off between the two objectives. Besides, An advanced metamodel is developed to reduce simulation time, considering the large number of iterations involved in finding the optimal model
Muhibullah. "Computation experimental DIC hybrid strategy for robust 3D ductile plastic law identification." Phd thesis, INSA de Lyon, 2012. http://tel.archives-ouvertes.fr/tel-00838763.
Yaich, Ahmed. "Analyse de l’endommagement par fatigue et optimisation fiabiliste des structures soumises à des vibrations aléatoires." Thesis, Normandie, 2018. http://www.theses.fr/2018NORMIR05.
This thesis deals with the fatigue damage analysis and reliability-based design optimization (RBDO) of structures under random vibrations. The purpose of an RBDO method is to find the best compromise between cost and safety. Several methods, such as Hybrid method and OSF method have been developed. These methods have been applied in static cases and some specific dynamic cases. In fact, structures are subject to random vibrations which can cause a fatigue damage. In this thesis we present the strategy of calculation of the fatigue damage based on the Sines criterion in the frequency domain developed in our laboratory. Then, an extension of the RBDO methods in the case of structures subjected to random vibrations is proposed. Also, an RHM method is developed. Finally, we present an industrial application where we propose a model of the mechanical part of the HALT chamber
Pouzet, Mathieu. "Détection et segmentation robustes de cibles mobiles par analyse du mouvement résiduel, à l'aide d'une unique caméra, dans un contexte industriel. Une application à la vidéo-surveillance automatique par drone." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLV002.
We propose a robust method about moving target detection from a moving UAV-mounted or helicopter-mounted camera. The industrial solution has to be robust to large motion of the camera, focus and motion blur in the images, and need to be accurate in terms of the moving target detection and segmentation. It does not have to need a long computation time. The proposed solution to detect the moving targets consists in the global camera motion compensation, and the residual motion analysis, that exists between the successive images. This research domain has been widely explored in the literature, implying lots of different proposed methods. The study of these methods show us that they all have a different and limited application scope, incompatible with our industrial constraints. To deal with this problem, we propose a methodology consisting in the analysis of the state-of-the-art method results, to extract their strengths and weaknesses. Then we propose to hybrid them. Therefore, we propose three successive steps : the inter-frame motion compensation, thecreation of a background in order to correctly detect the moving targets in the image and then the filtering of these detections by a comparison between the estimated global motion of the first step and the residual motion estimated by a local algorithm. The first step consists in the estimation of the global motion between two successive images thanks to a hybrid method composed of a minimization algorithm (ESM) and a feature-based method (Harris matching). The pyramidal implementation allows to optimize the computation time and the robust estimators (M-Estimator for the ESM algorithm and RANSAC for the Harris matching) allow to deal with the industrial constraints. The second step createsa background image using a method coupling the results of an inter-frame difference (after the global motion compensation) and a region segmentation. This method merges the static and dynamic information existing in the images. This background is then compared with the current image to detect the moving targets. Finally, the last step compares the results of the global motion estimation with the residual motion estimated by a Lucas-Kanade optical flow in order to validate the obtained detections of the second step. This solution has been validated after an evaluation on a large number of simulated and real sequences of images. Additionally, we propose some possible applications of theproposed method
VU, THANH-NAM, and 武成南. "Development of Robust Method for Deformation Measurement Using Hybrid Hexagonal Pattern." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/sdhmex.
國立中正大學
機械工程系研究所
106
In this thesis, a new robust grid-based method using the hybrid hexagonal pattern to measure the in-plane displacement and strain is proposed. Although digital image correlation (DIC), a non-contact strain measurement method, is a well-developed approach for this particular application, the measurement accuracy strongly depended on the size of random speckle and distribution of grey levels on the sample surface. Typically, inconsistent illumination and large deformation between two deformation states will cause large correlation errors. In contrast, the proposed grid-based method using the hexagonal pattern is relatively robust to the non-uniform illumination and suitable for the case under large deformation. The grid points of the pattern between each state are registered based on corner features. In this study, various types of distortion were applied to both the proposed pattern and DIC pattern with illumination and noise inference. The measurement errors of them are measured and compared. The experimental results show that when the specimen suffers severe deformations, the proposed method performances better than DIC. Keywords: displacement measurement, grid-based, hexagonal pattern, M-array
LIANG, You-Yi, and 梁祐倚. "Optimal Design of Projector Lens with Free Form Surface by Hybrid Taguchi-Robust Multiple Criterion Optimization Method." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/76280973559700223265.
高苑科技大學
電子工程研究所
101
With the trend of volume minimization, some of methods to improve the traditional zoom lens gradually raised, such as Liquid Lens and free-form surfaces. In the optical design,when the light passes through the optical system, the system path is zigzag and complex, so we can find some aberration from imaging surface. These aberrations include 1. Spherical aberration 2. Coma aberration 3. Distortion aberrations. We need free-form surface prism design by means of revise aberration.In this paper a U-type 2X zoom of free-form surfaces projector lens design with twoprisms will have less overall length than a general optical design , and use the Taguchi method were analyzed lens parameter optimization of Spherical Aberration and Coma Aberration by analysis of the optimal control parameters, and optimum level , the design of the type of the prism free-form surfaces polynomial order, finally hybrid Taguchi-RMCO(Robust Multiple Criterion Optimization) the best lens configuration combinations.The purpose of this study using hybrid Taguchi method - robust multi-objective optimization ways to improve its spherical aberration, coma aberration.To improve the efficiency, the ninth group is the best of this experimental group, spherical aberration improved 0.15%, while the coma is improved 0.33%.
Cheng, Chao-Hsi, and 鄭兆希. "DEVELOPMENT OF A ROBUST HYBRID METHOD FOR IDENTIFICATION OF A ROTOR SYSTEM WITH HYDRODYNAMIC BEARING UNDER HIGH MEASUREMENT NOISE." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/50758986768798961993.
國立中正大學
機械工程所
95
This thesis proposes a specific methodology for hybrid system identification. This system can be used with multi-input, multi-output (MIMO), noise-polluted rotor-bearing systems, so as to increase identification accuracy. This hybrid method, which integrates a Kalman filter with an eigensystem realization algorithm (ERA), was developed to determine state space models. To further increase the accuracy of identifying high-frequency modes of systems, another identification methodology was developed to enhance the eigensystem realization algorithm (ERA), which entails doping an optimum signal, thereby providing all the methodology necessary for dealing with such systems. The doping signal is obtained by integrating an optimization technique with the singular value decomposition (SVD) technique. Through theoretical derivation, we can interpret the effectiveness of the optimum signal and the sufficient conditions for removing the noise by SVD. To demonstrate the capability of proposed methods, a rotor-bearing system has been adopted to explain and show the high noise-immunity, the capability of using a steady state response and obtaining a MIMO state space model, no matter the system is coupled or with high frequency mode. Simulation results show that the proposed ERA with a novel optimum signal can significantly improve system identification accuracy in comparison with the SVD technique alone or with the SVD technique combined with a traditional Butterworth filter in system identification of high frequency modes. Finally, the noise effect can be attenuated even under a low signal/noise ratio (S/N).
Wang, Fang-Fang, and 王芳芳. "The evaluation of robust supply chain information-sharing strategies using a hybrid Taguchi and multiple criteria decision-making method." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/38703404810470752184.
國立成功大學
製造工程研究所碩博士班
95
The advance of internet and information technology has prompted the development of supply chain and related management techniques. Many information sharing strategies have been created, such as electronic point of sales, vendor manage inventory, e-shopping, emergency transportation and so on. The variation of environment will produce uncertainty and the levels of different performance criteria which are affected by different environments are distinct. As a result, it will increase decision difficulties when enterprises choose supply chain information sharing strategies. An effective and efficient supply chain strategy should not only have the ability to reduce cost, raise customer service level, but also maintain the robustness characteristic under uncertain environments to make sure the business operation efficiency and competitivity. Our research constructs uncertain scenarios by compounding noise factors which was proposed by Taguchi. And we observe the performance of different supply chain strategies under different uncertain environments by simulation of the Beer Game. Then we calculate Signal-to-Noise ratio of each criteria as the robustness performance index and make an overall evaluation among each criteria by multiple criteria decision making methods. To improve decision quality, reduce supply chain costs, and decision risks, we provide a systematic and efficient evaluation process of robust supply chain information strategies for decision makers. And the result of this research shows that combines electronic point of sales with emergency transportation and reduced supply chain strategy to be an integrated strategy will have better robustness characteristic under uncertain environments.
Книги з теми "Robust Hybrid Method (RHM)":
Robust hybrid finite element methods for antennas and microwave circuits. Ann Arbor, Mich: University of Michigan, Radiation Laboratory, Dept. of Electrical Engineering and Computer Science, 1996.
Частини книг з теми "Robust Hybrid Method (RHM)":
Zhang, Zhenya, Deyun Lyu, Paolo Arcaini, Lei Ma, Ichiro Hasuo, and Jianjun Zhao. "Effective Hybrid System Falsification Using Monte Carlo Tree Search Guided by QB-Robustness." In Computer Aided Verification, 595–618. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81685-8_29.
El Hazzat, Soulaiman, and Mostafa Merras. "Robust Method for Estimating the Fundamental Matrix by a Hybrid Optimization Algorithm." In Lecture Notes on Data Engineering and Communications Technologies, 399–406. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15191-0_38.
Kawaye, Floney P., and Michael F. Hutchinson. "Maize, Cassava, and Sweet Potato Yield on Monthly Climate in Malawi." In African Handbook of Climate Change Adaptation, 617–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_120.
Ratschek, Helmut, and Jon Rokne. "The SCCI-Hybrid Method for 2D-Curve Tracing." In Geometric Computations with Interval and New Robust Methods, 185–218. Elsevier, 2003. http://dx.doi.org/10.1533/9780857099518.185.
Kalia, R. "Recent Advances and Trends in ZnO Hybrid Nanostructures." In ZnO and Their Hybrid Nano-Structures, 86–131. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902394-4.
Gupta, Shital, and Megha Kamble. "A Robust Algorithm of Digital Video Watermarking using ELM." In New Frontiers in Communication and Intelligent Systems, 649–59. Soft Computing Research Society, 2021. http://dx.doi.org/10.52458/978-81-95502-00-4-66.
Gilbert, Hugo, Mohamed Ouaguenouni, Meltem Öztürk, and Olivier Spanjaard. "A Hybrid Approach to Preference Learning with Interaction Terms." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230351.
Vacio, Rubén Jaramillo, Carlos Alberto Ochoa Ortiz Zezzatti, and Armando Rios. "Data Mining Applications in the Electrical Industry." In Logistics Management and Optimization through Hybrid Artificial Intelligence Systems, 380–402. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0297-7.ch015.
Moreno, Ramón, Manuel Graña, and Kurosh Madani. "A Robust Color Watershed Transformation and Image Segmentation Defined on RGB Spherical Coordinates." In Robotic Vision, 112–28. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2672-0.ch007.
Chandran, Bhuvaneswari, P. Aruna, and D. Loganathan. "Lung Disease Classification by Novel Shape-Based Feature Extraction and New Hybrid Genetic Approach." In Medical Imaging, 1885–910. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0571-6.ch077.
Тези доповідей конференцій з теми "Robust Hybrid Method (RHM)":
Samuel, Olusegun D., Venkateshwar R. Pathapalli, and Christopher C. Enweremadu. "Optimizing and Modelling Performance Parameters of IC Engine Fueled With Palm-Castor Biodiesel and Diesel Blends Combination Using RSM, ANN, MOORA and WASPAS Technique." In ASME 2022 16th International Conference on Energy Sustainability collocated with the ASME 2022 Heat Transfer Summer Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/es2022-81146.
Sheth, Prasham, Indranil Roychoudhury, Crispin Chatar, and José Celaya. "A Hybrid Physics-Based and Machine-Learning Approach for Stick/Slip Prediction." In IADC/SPE International Drilling Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/208760-ms.
Aslam, Billal, Bicheng Yan, Knut-Andreas Lie, Stein Krogstad, Olav Moyner, and Xupeng He. "DiagNet-A Hybrid Physics-Data Driven Model for Fractured Reservoir Simulation." In GOTECH. SPE, 2024. http://dx.doi.org/10.2118/219110-ms.
Chen, Aron. "A Hybrid Control Method for Robust Vehicle Platooning." In 2021 3rd International Symposium on Robotics & Intelligent Manufacturing Technology (ISRIMT). IEEE, 2021. http://dx.doi.org/10.1109/isrimt53730.2021.9596716.
Fazli, Saeid, Hamed Moradi Pour, and Hamed Bouzari. "A robust hybrid movement detection method in dynamic background." In 2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2009. http://dx.doi.org/10.1109/ecticon.2009.5137244.
Gencturk, Beste, Vasif Nabiyev, Guzin Ulutas, and Mustafa Ulutas. "A hybrid image authentication method robust to JPEG attacks." In 2014 22nd Signal Processing and Communications Applications Conference (SIU). IEEE, 2014. http://dx.doi.org/10.1109/siu.2014.6830549.
Wang, Mengfan, Ling Wang, Jian Xie, Tao Zhang, Chuang Han, and Yanyun Gong. "A Hybrid Interference Suppression Method Based On Robust Beamforming." In 2021 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2021. http://dx.doi.org/10.1109/iwcmc51323.2021.9498890.
Abdolrasol, Maher G. M., and Saad Mekhilef. "Robust hybrid anti-islanding method for inverter-based distributed generation." In 2010 IEEE Region 10 Conference (TENCON 2010). IEEE, 2010. http://dx.doi.org/10.1109/tencon.2010.5685901.
Fujio, Shunsuke, Chikara Kojima, Toshihiro Shimura, Kenichi Nishikawa, Kazuyuki Ozaki, Zhengyi Li, Atsushi Honda, et al. "Robust beamforming method for SDMA with interleaved subarray hybrid beamforming." In 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2016. http://dx.doi.org/10.1109/pimrc.2016.7794677.
Cho, Youngchae, Takayuki Ishizaki, and Jun-Ichi Imura. "Hybrid Method of Two-Stage Stochastic and Robust Unit Commitment." In 2019 18th European Control Conference (ECC). IEEE, 2019. http://dx.doi.org/10.23919/ecc.2019.8796153.
Звіти організацій з теми "Robust Hybrid Method (RHM)":
Seginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, February 2001. http://dx.doi.org/10.32747/2001.7575271.bard.
Apiyo, Eric, Zita Ekeocha, Stephen Robert Byrn, and Kari L. Clase. Improving Pharmacovigilliance Quality Management System in the Pharmacy and Poisions Board of Kenya. Purdue University, December 2021. http://dx.doi.org/10.5703/1288284317444.