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Статті в журналах з теми "Electrically large analysis"
Yong-Lun Luo, Kwai-Man Luk, K. K. Mei, and E. K. N. Yung. "Finite difference analysis of electrically large parabolic reflector antennas." IEEE Transactions on Antennas and Propagation 50, no. 3 (March 2002): 266–76. http://dx.doi.org/10.1109/8.999616.
Повний текст джерелаYuan, Jun, Yang Qiu, Jing-Li Guo, Yanlin Zou, and Qi-Zhong Liu. "FAST ANALYSIS OF ANTENNA CHARACTERISTICS ON ELECTRICALLY LARGE COMPOSITE OBJECTS." Progress In Electromagnetics Research 80 (2008): 29–44. http://dx.doi.org/10.2528/pier07111205.
Повний текст джерелаYuan, Jun, Qi-zhong Liu, Jing-li Guo, and Yong-jun Xie. "RCS Fast Analysis of Electrically Large Coated Scatters via Parallel Method." Journal of Electronics & Information Technology 30, no. 10 (April 8, 2011): 2360–63. http://dx.doi.org/10.3724/sp.j.1146.2007.00419.
Повний текст джерелаZhijun Liu and L. Carin. "MLFMA-based quasi-direct analysis of scattering from electrically large targets." IEEE Transactions on Antennas and Propagation 51, no. 8 (August 2003): 1877–82. http://dx.doi.org/10.1109/tap.2003.814749.
Повний текст джерелаWang, Hao, Da-Gang Fang, Bin Chen, Xiaokun Tang, Y. Leonard Chow, and Yanping Xi. "An Effective Analysis Method for Electrically Large Finite Microstrip Antenna Arrays." IEEE Transactions on Antennas and Propagation 57, no. 1 (January 2009): 94–101. http://dx.doi.org/10.1109/tap.2008.2009669.
Повний текст джерелаHadi, Mohammed F., and Samir F. Mahmoud. "A High-Order Compact-FDTD Algorithm for Electrically Large Waveguide Analysis." IEEE Transactions on Antennas and Propagation 56, no. 8 (August 2008): 2589–98. http://dx.doi.org/10.1109/tap.2008.927545.
Повний текст джерелаZhang, Yong, and Hai Lin. "MLFMA-PO Hybrid Technique for Efficient Analysis of Electrically Large Structures." IEEE Antennas and Wireless Propagation Letters 13 (2014): 1676–79. http://dx.doi.org/10.1109/lawp.2014.2351422.
Повний текст джерелаHughey, Stephen, H. M. Aktulga, Melapudi Vikram, Mingyu Lu, Balasubramaniam Shanker, and Eric Michielssen. "Parallel Wideband MLFMA for Analysis of Electrically Large, Nonuniform, Multiscale Structures." IEEE Transactions on Antennas and Propagation 67, no. 2 (February 2019): 1094–107. http://dx.doi.org/10.1109/tap.2018.2882621.
Повний текст джерелаLiu, Jiao, and Lixin Guo. "Analysis of terahertz scattering from electrically large scatterer with NURBS modeling." Journal of Electromagnetic Waves and Applications 31, no. 10 (May 5, 2017): 981–96. http://dx.doi.org/10.1080/09205071.2017.1317037.
Повний текст джерелаRius, J. M., C. P. Carpintero, A. Cardama, and K. A. Michalski. "Analysis of electrically large concave scatterers with the integral equation MEI." Microwave and Optical Technology Letters 14, no. 5 (April 5, 1997): 287–89. http://dx.doi.org/10.1002/(sici)1098-2760(19970405)14:5<287::aid-mop10>3.0.co;2-4.
Повний текст джерелаДисертації з теми "Electrically large analysis"
Keghie, Jules Alliance Fernand [Verfasser]. "Simplified Analysis of Electrically Large Multi-room Systems / Jules Alliance Fernand Keghie." Aachen : Shaker, 2014. http://d-nb.info/1050342194/34.
Повний текст джерелаZhao, Kezhong. "A domain decomposition method for solving electrically large electromagnetic problems." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1189694496.
Повний текст джерелаTseng, Huan-Wan. "Hybrid analysis of em radiation and scattering by composite slot-blade cavity backed antennas on the surface of electrically large smooth convex cylinders /." The Ohio State University, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487949508371203.
Повний текст джерелаZhang, Richard Yi. "Robust stability analysis for large-scale power systems." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/108846.
Повний текст джерелаThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 145-154).
Innovations in electric power systems, such as renewable energy, demand-side participation, and electric vehicles, are all expected to increase variability and uncertainty, making stability verification more challenging. This thesis extends the technique of robust stability analysis to large-scale electric power systems under uncertainty. In the first part of this thesis, we examine the use of the technique to solve real problems faced by grid operators. We present two case studies: small-signal stability for distributed renewables on the IEEE 118-bus test system, and large-signal stability for a microgrid system. In each case study, we show that robust stability analysis can be used to compute stability margins for entire collections of uncertain scenarios. In the second part of this thesis, we develop scalable algorithms to solve robust stability analysis problems on large-scale power systems. We use preconditioned iterative methods to solve the Newton direction computation in the interior-point method, in order to avoid the O(n6) time complexity associated with a dense-matrix approach. The per-iteration costs of the iterative methods are reduced to O(n3) through a hierarchical block-diagonal-plus-low-rank structure in the data matrices. We provide evidence that the methods converge to an [epsilon]-accurate solution in O(1=[square root of ] [epsilon]) iterations, and characterize two broad classes of problems for which the enhanced convergence is guaranteed.
by Richard Yi Zhang.
Ph. D.
Hu, Xin 1979. "Full-wave analysis of large conductor systems over substrate." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/35597.
Повний текст джерелаIncludes bibliographical references (leaves 137-145).
Designers of high-performance integrated circuits are paying ever-increasing attention to minimizing problems associated with interconnects such as noise, signal delay, crosstalk, etc., many of which are caused by the presence of a conductive substrate. The severity of these problems increases as integrated circuit clock frequencies rise into the multiple gigahertz range. In this thesis, a simulation tool is presented for the extraction of full-wave interconnect impedances in the presence of a conducting substrate. The substrate effects are accounted for through the use of full-wave layered Green's functions in a mixed-potential integral equation (MPIE) formulation. Particularly, the choice of implementation for the layered Green's function kernels motivates the development of accelerated techniques for both their 3D volume and 2D surface integrations, where each integration type can be reduced to a sum of D line integrals. In addition, a set of high-order, frequency-independent basis functions is developed with the ability to parameterize the frequency-dependent nature of the solution space, hence reducing the number of unknowns required to capture the interconnects' frequency-variant behavior.
(cont.) Moreover, a pre-corrected FFT acceleration technique, conventional for the treatment of scalar Green's function kernels, is extended in the solver to accommodate the dyadic Green's function kernels encountered in the substrate modeling problem. Overall, the integral-equation solver, combined with its numerous acceleration techniques, serves as a viable solution to full-wave substrate impedance extractions of large and complex interconnect structures.
by Xin Hu.
Ph.D.
Palmer, Nathan Patrick. "Data mining techniques for large-scale gene expression analysis." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/68493.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (p. 238-256).
Modern computational biology is awash in large-scale data mining problems. Several high-throughput technologies have been developed that enable us, with relative ease and little expense, to evaluate the coordinated expression levels of tens of thousands of genes, evaluate hundreds of thousands of single-nucleotide polymorphisms, and sequence individual genomes. The data produced by these assays has provided the research and commercial communities with the opportunity to derive improved clinical prognostic indicators, as well as develop an understanding, at the molecular level, of the systemic underpinnings of a variety of diseases. Aside from the statistical methods used to evaluate these assays, another, more subtle challenge is emerging. Despite the explosive growth in the amount of data being generated and submitted to the various publicly available data repositories, very little attention has been paid to managing the phenotypic characterization of their samples (i.e., managing class labels in a controlled fashion). If sense is to be made of the underlying assay data, the samples' descriptive metadata must first be standardized in a machine-readable format. In this thesis, we explore these issues, specifically within the context of curating and analyzing a large DNA microarray database. We address three main challenges. First, we acquire a large subset of a publicly available microarray repository and develop a principled method for extracting phenotype information from freetext sample labels, then use that information to generate an index of the sample's medically-relevant annotation. The indexing method we develop, Concordia, incorporates pre-existing expert knowledge relating to the hierarchical relationships between medical terms, allowing queries of arbitrary specificity to be efficiently answered. Second, we describe a highly flexible approach to answering the question: "Given a previously unseen gene expression sample, how can we compute its similarity to all of the labeled samples in our database, and how can we utilize those similarity scores to predict the phenotype of the new sample?" Third, we describe a method for identifying phenotype-specific transcriptional profiles within the context of this database, and explore a method for measuring the relative strength of those signatures across the rest of the database, allowing us to identify molecular signatures that are shared across various tissues ad diseases. These shared fingerprints may form a quantitative basis for optimal therapy selection and drug repositioning for a variety of diseases.
by Nathan Patrick Palmer.
Ph.D.
Ford, Logan H. "Large-scale acoustic scene analysis with deep residual networks." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123026.
Повний текст джерелаThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 63-66).
Many of the recent advances in audio event detection, particularly on the AudioSet dataset, have focused on improving performance using the released embeddings produced by a pre-trained model. In this work, we instead study the task of training a multi-label event classifier directly from the audio recordings of AudioSet. Using the audio recordings, not only are we able to reproduce results from prior work, we have also confirmed improvements of other proposed additions, such as an attention module. Moreover, by training the embedding network jointly with the additions, we achieve a mean Average Precision (mAP) of 0.392 and an area under ROC curve (AUC) of 0.971, surpassing the state-of-the-art without transfer learning from a large dataset. We also analyze the output activations of the network and find that the models are able to localize audio events when a finer time resolution is needed. In addition, we use this model in exploring multimodal learning, transfer learning, and realtime sound event detection tasks.
by Logan H. Ford.
M. Eng.
M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Sridharan, Ramesh. "Visualization and analysis of large medical image collections using pipelines." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99849.
Повний текст джерелаTitle as it appears in MIT Commencement Exercises program, June 5, 2015: Visualization and analysis of computational pipelines for large medical image collections. Cataloged from PDF version of thesis.
Includes bibliographical references (pages 80-100).
Medical image analysis often requires developing elaborate algorithms that are implemented as computational pipelines. A growing number of large medical imaging studies necessitate development of robust and flexible pipelines. In this thesis, we present contributions of two kinds: (1) an open source framework for building pipelines to analyze large scale medical imaging data that addresses these challenges, and (2) two case studies of large scale analyses of medical image collections using our tool. Our medical image analysis pipeline construction tool, PipeBuilder, is designed for constructing pipelines to analyze complex data where iterative refinement and development are necessary. We provide a lightweight scripting framework that enables the use of existing and novel algorithms in pipelines. We also provide a set of tools to visualize the pipeline's structure, data processing status, and intermediate and final outputs. These visualizations enable interactive analysis and quality control, facilitating computation on large collections of heterogeneous images. We employ PipeBuilder first to analyze white matter hyperintensity in stroke patients. Our study of this cerebrovascular pathology consists of three main components: accurate registration to enable data fusion and population analysis, segmentation to automatically delineate pathology from the images, and statistical analysis to extract clinical insight using the images and the derived measures. Our analysis explores the relationship between the spatial distribution, quantity, and growth of white matter hyperintensity. Our next application of PipeBuilder is to a neuroimaging study of Alzheimer's patients, where we explicitly characterize changes over time using longitudinal data. As with the previous application, we introduce a workflow that involves registration, segmentation, and statistical analysis. Our registration pipeline aligns the large, heterogeneous group of populations while still accurately characterizing small changes in each patient over time. The statistical analysis exploits this alignment to explore the change in white matter hyperintensity over time.
by Ramesh Sridharan.
Ph. D.
Lucas, Christopher G. "Patent semantics : analysis, search and visualization of large text corpora." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/33146.
Повний текст джерелаIncludes bibliographical references (leaves 47-48).
Patent Semantics is system for processing text documents by extracting features capturing their semantic content, and searching, clustering, and relating them by those same features. It is set apart from existing methodologies by combining a visualization scheme that integrates retrieval and clustering, providing a variety of ways to find and relate documents depending on their goals. In addition, the system provides an explanatory mechanism that makes the retrieval an understandable process rather than a black box. The domain in which the system currently works is biochemistry and molecular biology patents but it is not intrinsically constrained to any document set.
by Christopher G. Lucas.
M.Eng.and S.B.
Gorham, LeRoy A. "Large Scene SAR Image Formation." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1452031174.
Повний текст джерелаКниги з теми "Electrically large analysis"
Soman, S. A. Computational methods for large sparse power systems analysis: An object oriented approach. Boston: Kluwer Academic Publishers, 2002.
Знайти повний текст джерелаSolution of large networks by matrix methods. 2nd ed. New York: Wiley, 1985.
Знайти повний текст джерелаKuhn, Michael. CLEAN: CO2 Large-Scale Enhanced Gas Recovery in the Altmark Natural Gas Field - GEOTECHNOLOGIEN Science Report No. 19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Знайти повний текст джерелаZeljko, Zilic, ed. Verification by error modeling: Using testing techniques in hardware verification. Boston: Kluwer Academic Publishers, 2003.
Знайти повний текст джерелаThornton, Mitchell Aaron. Spectral techniques in VLSI CAD. Boston: Kluwer Academic Publishers, 2001.
Знайти повний текст джерелаAshar, Pranav. Sequential logic synthesis. Boston: Kluwer Academic Publishers, 1992.
Знайти повний текст джерелаRolf, Drechsler, and Miller D. Michael, eds. Spectral techniques in VLSI CAD. Boston: Kluwer Academic Publishers, 2001.
Знайти повний текст джерелаBening, Lionel. Principles of verifiable RTL design: A functional coding style supporting verification processes in Verilog. 2nd ed. Boston: Kluwer Academic Publishers, 2001.
Знайти повний текст джерела1956-, Foster Harry, ed. Principles of verifiable RTL design: A functional coding style supporting verification processes in Verilog. Norwell, Mass: Kluwer Academic Publishers, 2000.
Знайти повний текст джерелаBening, Lionel. Principles of verifiable RTL design: A functional coding style supporting verification processes in Verilog. 2nd ed. Boston: Kluwer Academic Publishers, 2001.
Знайти повний текст джерелаЧастини книг з теми "Electrically large analysis"
Youngchul, Park, and Song Xueguan. "Numerical Analysis of Large Diameter Butterfly Valve." In Lecture Notes in Electrical Engineering, 349–63. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-8919-0_24.
Повний текст джерелаSong, Yunfeng, Xiaochao Fan, Yong Yang, Ge Ren, and Weiming Pan. "Large Pretrained Models on Multimodal Sentiment Analysis." In Lecture Notes in Electrical Engineering, 506–13. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9423-3_63.
Повний текст джерелаYang, Dixiong, and Guohai Chen. "Stochastic Dynamic Analysis of Large-Scale Nonlinear Structures." In Lecture Notes in Electrical Engineering, 845–59. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5912-6_63.
Повний текст джерелаGao, Xiaofan, Shu Tian, Mengtian Zhang, and Yunlong Li. "A Novel Stability Analysis Method for Large-Scale Photovoltaic System." In Lecture Notes in Electrical Engineering, 324–33. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9686-2_38.
Повний текст джерелаTang, Da, Guoting Zhang, Tang Li, and Wanhong Hao. "Analysis of Characteristics and Requirements of Large LEO Constellations Management." In Lecture Notes in Electrical Engineering, 857–65. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3387-5_102.
Повний текст джерелаSei, Yuichi, and Akihiko Ohsuga. "Anonymized Questionnaire Analysis with Differential Privacy for Large-Scale Crowdsourcing." In Lecture Notes in Electrical Engineering, 11–18. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2177-3_2.
Повний текст джерелаBekers, Dave J., Stef J. L. van Eijndhoven, Alphons A. F. van de Ven, Peter-Paul Borsboom, and Evert W. Kolk. "Finitely Large Phased Arrays of Microstrip Antennas — Analysis and Design." In Scientific Computing in Electrical Engineering, 120–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-55872-6_11.
Повний текст джерелаHong, Seungtae, Youngsung Shin, Dong Hoon Choi, Heeseung Jo, and Jae-woo Chang. "A Semi-clustering Scheme for Large-Scale Graph Analysis on Hadoop." In Lecture Notes in Electrical Engineering, 301–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-40675-1_46.
Повний текст джерелаYixuan, Li, Li Kaixiang, and Liu Jijun. "The Vibration Transfer Path Analysis Based on One Large Passenger Aircraft." In Lecture Notes in Electrical Engineering, 869–77. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2689-1_66.
Повний текст джерелаChao, An, Zhang Duoyao, and Xie Changchuan. "Flutter Analysis of Large Flexible Aircraft Based on Reduced Order Model." In Lecture Notes in Electrical Engineering, 214–23. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7652-0_20.
Повний текст джерелаТези доповідей конференцій з теми "Electrically large analysis"
Meng, Hongfu, and Wenbin Dou. "Rapid analysis of electrically large radome." In 2010 International Conference on Microwave and Millimeter Wave Technology (ICMMT). IEEE, 2010. http://dx.doi.org/10.1109/icmmt.2010.5525279.
Повний текст джерелаHansen, P. M., and A. Rodriguez. "Performance analysis of large electrically small transmit antennas." In 2011 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting. IEEE, 2011. http://dx.doi.org/10.1109/aps.2011.5996389.
Повний текст джерелаZhao, X. W., C. H. Liang, and L. Liang. "Analysis of Impulse Response of Electrically Large Targets." In 2008 International Conference On Microwave and Millimeter Wave Technology. IEEE, 2008. http://dx.doi.org/10.1109/icmmt.2008.4540568.
Повний текст джерелаHe-lin, Yang, Tang Yan-mei, and Lu shu. "Analysis of EM Scattering by Electrically Large Coated Object." In 2006 4th Asia-Pacific Conference on Environmental Electromagnetics. IEEE, 2006. http://dx.doi.org/10.1109/ceem.2006.258090.
Повний текст джерелаJorgensen, Erik, Oscar Borries, Peter Meincke, Min Zhou, and Niels Vesterdal. "New analysis capabilities for electrically large antennas and platforms." In 2016 10th European Conference on Antennas and Propagation (EuCAP). IEEE, 2016. http://dx.doi.org/10.1109/eucap.2016.7481482.
Повний текст джерелаZhao, Wei-Jiang. "Efficient analysis of antennas on an electrically large platform." In 2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2015. http://dx.doi.org/10.1109/aps.2015.7304668.
Повний текст джерелаMrdakovic, Branko, and Branko Kolundzija. "Efficient full wave analysis of electrically large multilayered radomes." In 2011 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS). IEEE, 2011. http://dx.doi.org/10.1109/comcas.2011.6105938.
Повний текст джерелаHo, T. Q., L. N. Hunt, C. A. Hewett, R. Mittra, Wenhua Yu, T. G. Ready, D. A. Zolnick, and M. Kragalott. "Analysis of electrically large patch phased arrays via CFDTD." In 2006 IEEE Antennas and Propagation Society International Symposium. IEEE, 2006. http://dx.doi.org/10.1109/aps.2006.1710856.
Повний текст джерелаKoksoy, Sinan, and Alper K. Ozturk. "Coupling analysis of electrically large antennas using the equivalence principle." In 2014 8th European Conference on Antennas and Propagation (EuCAP). IEEE, 2014. http://dx.doi.org/10.1109/eucap.2014.6902203.
Повний текст джерелаKolundzija, Branko, Miodrag Tasic, Dragan Olcan, Dusan Zoric, and Srdjan Stevanetic. "Full-wave analysis of electrically large structures on desktop PCs." In 2011 Computational Electromagnetics International Workshop (CEM). IEEE, 2011. http://dx.doi.org/10.1109/cem.2011.6047344.
Повний текст джерела