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Littérature scientifique sur le sujet « Modal normalization »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Modal normalization"

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Valliappan, Nachiappan, Fabian Ruch, and Carlos Tomé Cortiñas. "Normalization for fitch-style modal calculi." Proceedings of the ACM on Programming Languages 6, ICFP (2022): 772–98. http://dx.doi.org/10.1145/3547649.

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Fitch-style modal lambda calculi enable programming with necessity modalities in a typed lambda calculus by extending the typing context with a delimiting operator that is denoted by a lock. The addition of locks simplifies the formulation of typing rules for calculi that incorporate different modal axioms, but each variant demands different, tedious and seemingly ad hoc syntactic lemmas to prove normalization. In this work, we take a semantic approach to normalization, called normalization by evaluation (NbE), by leveraging the possible-world semantics of Fitch-style calculi to yield a more m

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Zhang, Heng, Yuanyuan Pu, Rencan Nie, Dan Xu, Zhengpeng Zhao, and Wenhua Qian. "Multi-modal image synthesis combining content-style adaptive normalization and attentive normalization." Computers & Graphics 98 (August 2021): 48–57. http://dx.doi.org/10.1016/j.cag.2021.04.030.

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ZHU, Shaojie, Lei ZHANG, Bailong LIU, Shumin CUI, Changxing SHAO, and Yun LI. "Mode Normalization Enhanced Recurrent Model for Multi-Modal Semantic Trajectory Prediction." IEICE Transactions on Information and Systems E103.D, no. 1 (2020): 174–76. http://dx.doi.org/10.1587/transinf.2019edl8130.

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Pereira, Sérgio, Edwin Reynders, Filipe Magalhães, Álvaro Cunha, and Jorge P. Gomes. "The role of modal parameters uncertainty estimation in automated modal identification, modal tracking and data normalization." Engineering Structures 224 (December 2020): 111208. http://dx.doi.org/10.1016/j.engstruct.2020.111208.

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Yang, Q. W. "A Flexibility-Based Method for Structural Damage Identification Using Ambient Modal Data." International Journal of Space Structures 24, no. 3 (2009): 153–59. http://dx.doi.org/10.1260/026635109789867616.

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Structural damage identification using ambient vibration modes has become a very important research area in recent years. The main issue surrounding the use of ambient vibration modes is the mass normalization of the measured mode shapes. This paper presents a promising approach that extends the flexibility sensitivity technique to tackle the ambient vibration case. By introducing the mass normalization factors, manipulating the flexibility sensitivity equation, the unknown damage parameters and mass normalization factors can be computed simultaneously by the least-square technique. The effect

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Martins, Ana Teresa, and Lília Ramalho Martins. "Natural Deduction for Full S5 Modal Logic with Weak Normalization." Electronic Notes in Theoretical Computer Science 143 (January 2006): 129–40. http://dx.doi.org/10.1016/j.entcs.2005.05.027.

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Ye, Xi Jun, Tian Feng Zhu, Quan Sheng Yan, and Wei Feng Wang. "Experimental Verification of Decentralized Approach for Modal Identification Based on Wireless Smart Sensor Network." Advanced Materials Research 291-294 (July 2011): 3–11. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.3.

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This paper provides an experimental verification of decentralized approach for modal test and analysis of a 30 meters long railway overpass bridge. 11 Imote2 smart sensor nodes were implemented on the WSSN. In order to compare the identification precision of different topologies, acceleration responses were obtained under centralized and 3 different decentralized topologies. Local modal parameters were estimated by NExT/ERA within each local group; true modes were then distinguished from spurious modes by EMAC and finite-element analysis. In order to estimate global mode shape, a least square

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Medeiros, Maria Da Paz N. "A new S4 classical modal logic in natural deduction." Journal of Symbolic Logic 71, no. 3 (2006): 799–809. http://dx.doi.org/10.2178/jsl/1154698578.

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AbstractWe show, first, that the normalization procedure for S4 modal logic presented by Dag Prawitz in [5] does not work. We then develop a new natural deduction system for S4 classical modal logic that is logically equivalent to that of Prawitz, and we show that every derivation in this new system can be transformed into a normal derivation.

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Jahani, K., and A. S. Nobari. "Assessment of the Performance of Modal Based Decoupling Method in Identifying Structural Joints Characteristics." Applied Mechanics and Materials 50-51 (February 2011): 125–29. http://dx.doi.org/10.4028/www.scientific.net/amm.50-51.125.

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In this paper, the performance of modal based decoupling method in structural joint identification is investigated. This method does not need any iteration and is independent from updating techniques. Because of these advantages, in present work it is tried to assess the effect of experimental and numerical issues of using modal data in this method. Issues such as effect of number of digits of precision of modal pairs, effects of lower hand higher eliminated modes, effect of any normalization of modal vectors and effect of possible noisy experimentally extracted modal parameters on identified

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Gratzer, Daniel. "A Modal Deconstruction of Löb Induction." Proceedings of the ACM on Programming Languages 9, POPL (2025): 864–92. https://doi.org/10.1145/3704866.

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We present a novel analysis of the fundamental Löb induction principle from guarded recursion. Taking advantage of recent work in modal type theory and univalent foundations, we derive Löb induction from a simpler and more conceptual set of primitives. We then capitalize on these insights to present Gatsby, the first guarded type theory capturing the rich modal structure of the topos of trees alongside Löb induction without immediately precluding canonicity or normalization. We show that Gatsby can recover many prior approaches to guarded recursion and use its additional power to improve on pr

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Thèses sur le sujet "Modal normalization"

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Hiremaglur, Rajeev. "Real-Normalization of Experimental Complex Modal Vectors with Modal Vector Contamination." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1415283945.

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Merati, A. "Multi-modal biometric authentication with cohort-based normalization." Thesis, University of Surrey, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543928.

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SINHA, SIDDHARTH. "TECHNIQUES FOR REAL NORMALIZATION OF COMPLEX MODAL PARAMETERS FOR UPDATING AND CORRELATION WITH FEM MODELS." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1123513814.

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Junqueira, Manoel Moraes. "Uma contribuição ao método de síntese modal experimetal." Universidade Federal de Uberlândia, 2006. https://repositorio.ufu.br/handle/123456789/14782.

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The determination of the dynamic parameters of great or complex structures can be made using modal synthesis methods subdividing the complete structure in substructures. The employment of this method may be done by using analytical or experimental procedures. Generally speaking, poor eigenvalues and eigenvectors may be identified using experimental modal synthesis methods due to a normalization deficient process of the modal bases and to the low orthogonality condition of the identified bases. The contribution of this current work is about the improvement of the great or complex structures dy

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Jakel, Roland. "Linear Dynamic System Analyses with Creo Simulate – Theory & Application Examples, Capabilities, Limitations –." Universitätsbibliothek Chemnitz, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-225992.

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1. Einführung in die Theorie dynamischer Analysen mit Creo Simulate 2. Modalanalysen (Standard und mit Vorspannung) 3. Dynamische Analysen einschließlich Klassifizierung der Analysen; einige einfache Beispiele für eigene Studien (eine Welle unter Unwuchtanregung und ein Ein-Massen-Schwinger) sowie etliche Beispiele größerer dynamischer Systemmodelle aus unterschiedlichsten Anwendungsbereichen 4. Feedback an den Softwareentwickler PTC (Verbesserungsvorschläge und Softwarefehler) 5. Referenzen<br>1. Introduction to dynamic analysis theory in Creo Simulate 2. Modal analysis (standard and with pre

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Nezami, Ranjbar Mohammad Rasoul. "Novel Preprocessing and Normalization Methods for Analysis of GC/LC-MS Data." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/73499.

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We introduce new methods for preprocessing and normalization of data acquired by gas/liquid chromatography coupled with mass spectrometry (GC/LC-MS). Normalization is desired prior to subsequent statistical analysis to adjust variabilities in ion intensities that are not caused by biological differences. There are different sources of experimental bias including variabilities in sample collection, sample storage, poor experimental design, noise, etc. Also, instrument variability in experiments involving a large number of runs leads to a significant drift in intensity measurements. We propose n

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Vitela, Antonia David. "General Auditory Model of Adaptive Perception of Speech." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/265343.

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One of the fundamental challenges for communication by speech is the variability in speech production/acoustics. Talkers vary in the size and shape of their vocal tract, in dialect, and in speaking mannerisms. These differences all impact the acoustic output. Despite this lack of invariance in the acoustic signal, listeners can correctly perceive the speech of many different talkers. This ability to adapt one's perception to the particular acoustic structure of a talker has been investigated for over fifty years. The prevailing explanation for this phenomenon is that listeners construct t

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Brauer, Ethan. "Truthmakers and Model Theory." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586176557329917.

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Jurcevic, Sanja. "MicroRNA expression profiling in endometrial adenocarcinoma." Doctoral thesis, Örebro universitet, Institutionen för hälsovetenskap och medicin, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-41640.

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Shen, Shu. "Developing An Alternative Way to Analyze NanoString Data." UKnowledge, 2016. http://uknowledge.uky.edu/statistics_etds/20.

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Nanostring technology provides a new method to measure gene expressions. It's more sensitive than microarrays and able to do more gene measurements than RT-PCR with similar sensitivity. This system produces counts for each target gene and tabulates them. Counts can be normalized by using an Excel macro or nSolver before analysis. Both methods rely on data normalization prior to statistical analysis to identify differentially expressed genes. Alternatively, we propose to model gene expressions as a function of positive controls and reference gene measurements. Simulations and examples are used

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Livres sur le sujet "Modal normalization"

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Robinson, A. A new normalization procedure for a document oriented logical model. The Polytechnic, Wolverhampton, School of Computing and Information Technology, 1986.

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Rubin, Daniel Brett. A Novel Circuit Model of Contextual Modulation and Normalization in Primary Visual Cortex. [publisher not identified], 2012.

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Mallat, Chibli. The Normalization of Saudi Law. Oxford University PressNew York, 2022. http://dx.doi.org/10.1093/oso/9780190092757.001.0001.

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Abstract Saudi Arabia has never commanded more attention and yet it remains one of the world’s least understood countries. The book draws on a systematic study of Saudi law over nearly a decade; the author’s involvement as a legal expert in landmark decisions around the world; and his experience as a law professor in leading universities in the Middle East, Europe, and America. The book also reflects his work with law students and practicing colleagues, particularly in commercial cases but also in those involving government and human rights. The Normalization of Saudi Law goes to the heart of

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Gu, Xun. Statistical Analysis of Molecular and Genomic Evolution. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780198816515.001.0001.

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Abstract This book introduces up-to-date methods in statistics and bioinformatics for the study of molecular and genome evolution. It first provides a concise overview of molecular evolutionary analysis and phylogenetic inference. The following chapters cover four research themes: evolution of protein functionality and functional divergence (Chapters 3 and 4); effective gene pleiotropy estimation under the genotype-phenotype mapping model of protein evolution (Chapter 5); evolution of genetic robustness after gene duplication (Chapter 6), and the statistical models of transcriptome evolution (

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Jamieson, Kathleen Hall, Dan M. Kahan, and Dietram A. Scheufele, eds. The Oxford Handbook of the Science of Science Communication. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190497620.001.0001.

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The cross-disciplinary Oxford Handbook on the Science of Science Communication contains 47 essays by 57 leading scholars organized into six sections: The first section establishes the need for a science of science communication, provides an overview of the area, examines sources of science knowledge and the ways in which changing media structures affect it, reveals what the public thinks about science, and situates current scientific controversies in their historical contexts. The book’s second part examines challenges to science including difficulties in peer review, rising numbers of retract

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Chapitres de livres sur le sujet "Modal normalization"

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Kumar, Neeraj, Ankur Narang, Brejesh lall, and Srishti Goel. "Multi Modal Normalization." In Neural Information Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92185-9_4.

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Hu, Jason Z. S., and Brigitte Pientka. "Layered Modal Type Theory." In Programming Languages and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57262-3_3.

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AbstractWe introduce layering to modal type theory to combine type theory with intensional analysis. In particular, we demonstrate this idea by developing a 2-layered modal type theory. At the core of this type theory (layer 0) is a simply typed $$\lambda $$ λ -calculus with no modality. Layer 1 is obtained by extending the core language with one layer of contextual $$\square $$ □ types to support pattern matching on potentially open code from layer 0 while retaining normalization. Although both layers fundamentally share the same language and the same typing judgment, we only allow computatio

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Pathak, Rashmi, Puja S. Prasad, Vinit Kumar Gunjan, and Vijender Kumar Solanki. "Normalization Techniques in Multi Modal Biometric." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8715-9_51.

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Volín, Jan. "Normalization of the Vocalic Space." In Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03320-9_19.

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Phillips, A. W., and R. J. Allemang. "Normalization of Experimental Modal Vectors to Remove Modal Vector Contamination." In Topics in Modal Analysis II, Volume 8. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04774-4_4.

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Ibrahim, S. R. "Existence and Normalization of Complex Modes for Post Experimental Use in Modal Analysis." In Modal Analysis and Testing. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4503-9_21.

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Priou, Johann, Alexander Mendler, Matthieu Perrault, Laurent Guerineau, and Michael Döhler. "Normalization of Environmental Effects in Modal Parameter Tracking." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61425-5_10.

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Hartrumpf, Sven, and Johannes Leveling. "Interpretation and Normalization of Temporal Expressions for Question Answering." In Evaluation of Multilingual and Multi-modal Information Retrieval. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74999-8_51.

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Niranjan, A. C., R. J. Allemang, and A. W. Phillips. "Normalization of Complex Mode Shapes by Truncation of Alpha-Polynomial." In Topics in Modal Analysis & Testing, Volume 10. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30249-2_6.

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Zhang, Xudong, and Wenfeng Zhao. "Deep Normalization Cross-Modal Retrieval for Trajectory and Image Matching." In Database Systems for Advanced Applications. DASFAA 2023 International Workshops. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35415-1_13.

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Actes de conférences sur le sujet "Modal normalization"

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Yang, Yi, and Jacob Eisenstein. "A Log-Linear Model for Unsupervised Text Normalization." In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2013. http://dx.doi.org/10.18653/v1/d13-1007.

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Corley, Isaac, Caleb Robinson, Rahul Dodhia, Juan M. Lavista Ferres, and Peyman Najafirad. "Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2024. http://dx.doi.org/10.1109/cvprw63382.2024.00322.

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Lee, Changgwun, Sumin Song, and Hyoungjun Jeon. "On-Device Generative AI Model Robustness Enhancement via Quantization-Aware Normalization." In 2025 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2025. https://doi.org/10.1109/icce63647.2025.10930021.

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Manohar, Kavya, and Leena G. Pillai. "What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-main.607.

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Yang, Yuming, and Dongsheng Zou. "AdaStyleSpeech: A Fast Stylized Speech Synthesis Model Based on Adaptive Instance Normalization." In 2024 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2024. http://dx.doi.org/10.1109/icme57554.2024.10687845.

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Miaoli, Wen. "Modified F score normalization method of multi-modal biometric recognition." In 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2015. http://dx.doi.org/10.1109/iaeac.2015.7428509.

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Liu, Yiping, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama, and Yuyan Han. "On the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization." In 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2020. http://dx.doi.org/10.1109/cec48606.2020.9185899.

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Gómez, S., A. Occhiuzzi, and C. Rainieri. "Comparative assessment of data normalization methods for modal-based SHM." In Latin American Workshop on Structural Health Monitoring. CIMNE, 2023. http://dx.doi.org/10.23967/latam.2023.009.

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Gómez, S., A. Occhiuzzi, and C. Rainieri. "Comparative assessment of data normalization methods for modal-based SHM." In Latin American Workshop on Structural Health Monitoring. CIMNE, 2024. http://dx.doi.org/10.23967/latam.2024.009.

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Sun, Yiming, Bing Cao, Pengfei Zhu, and Qinghua Hu. "Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/146.

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Infrared and visible image fusion aim to integrate modality strengths for visually enhanced, informative images. Visible imaging in real-world scenarios is susceptible to dynamic environmental brightness fluctuations, leading to texture degradation. Existing fusion methods lack robustness against such brightness perturbations, significantly compromising the visual fidelity of the fused imagery. To address this challenge, we propose the Brightness Adaptive multimodal dynamic fusion framework (BA-Fusion), which achieves robust image fusion despite dynamic brightness fluctuations. Specifically, w

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Rapports d'organisations sur le sujet "Modal normalization"

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Smalley. L51984 Engine-Compressor Performance Data Normalization. Pipeline Research Council International, Inc. (PRCI), 2003. http://dx.doi.org/10.55274/r0011172.

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This report defines methods for normalizing parameters which relate to performance and integrity of compression equipment. As a basis for normalization, the project compares each parameter as recorded or derived during operation to a corresponding expected value. The report presents a method to characterize operational behavior by mapping, and by linear regression to develop a model which predicts the expected value as a function of certain independent variables. The report discusses active and passive options for mapping. The project has focused considerable attention on the choice of both de

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Tayeb, Shahab. Taming the Data in the Internet of Vehicles. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2014.

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As an emerging field, the Internet of Vehicles (IoV) has a myriad of security vulnerabilities that must be addressed to protect system integrity. To stay ahead of novel attacks, cybersecurity professionals are developing new software and systems using machine learning techniques. Neural network architectures improve such systems, including Intrusion Detection System (IDSs), by implementing anomaly detection, which differentiates benign data packets from malicious ones. For an IDS to best predict anomalies, the model is trained on data that is typically pre-processed through normalization and f

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Kim, Kang Seog, Kevin T. Clarno, Yuxuan Liu, Xinyan Wang, William R. Martin, and Benjamin S. Collins. Neutron Capture Energies for Flux Normalization and Approximate Model for Gamma-Smeared Power. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1437916.

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Agostinelli, Francesco, and Matthew Wiswall. Identification of Dynamic Latent Factor Models: The Implications of Re-Normalization in a Model of Child Development. National Bureau of Economic Research, 2016. http://dx.doi.org/10.3386/w22441.

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Tollar, Eric S. On the Limit Behavior of a Multi-Compartment Storage Model with an Underlying Markov Chain. I. Without Normalization. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada161293.

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Tollar, Eric S. On the Limit Behavior of a Multi-Compartment Storage Model with an Underlying Markov Chain. II. With Normalization. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada161661.

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Patwa, B., P. L. St-Charles, G. Bellefleur, and B. Rousseau. Predictive models for first arrivals on seismic reflection data, Manitoba, New Brunswick, and Ontario. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329758.

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First arrivals are the primary waves picked and analyzed by seismologists to infer properties of the subsurface. Here we try to solve a problem in a small subsection of the seismic processing workflow: first break picking of seismic reflection data. We formulate this problem as an image segmentation task. Data is preprocessed, cleaned from outliers and extrapolated to make the training of deep learning models feasible. We use Fully Convolutional Networks (specifically UNets) to train initial models and explore their performance with losses, layer depths, and the number of classes. We propose t

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