Relevant bibliographies by topics / Multi close domain

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Academic literature on the topic 'Multi close domain'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Multi close domain"

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Iping, Supriana Ayu Purwarianti Wiwin Suwarningsih*. "ESTIMATION QUESTION TYPE ANALYZER FOR MULTI CLOSE DOMAIN INDONESIAN QAS." INTERNATIONAL JOURNAL OF RESEARCH SCIENCE & MANAGEMENT 4, no. 6 (2017): 59–66. https://doi.org/10.5281/zenodo.583975.

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We propose an automated estimation scheme to analyze question classification in Indonesian multi closed domain question answering systems. The goal is to provide a good questioning classification system even if using only available language sources. Our strategy here is to build a pattern and rule to extract some important words and utilize the results as a feature for classification estimation of automated learning-based questions. Scenarios designed in automated learning estimates: (i) Analyzing questions, to represent the key information needed to answer user questions using target focus an
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Yang, Dan, Tianyu Ma, and Zhipeng Li. "A multi-source domain adaption intelligent fault diagnosis method based on asymmetric adversarial training." Measurement Science and Technology 36, no. 3 (2025): 036123. https://doi.org/10.1088/1361-6501/adb2b1.

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Abstract To enhance the cross-domain diagnostic ability of the model, domain adaptation method is adopted. When using traditional domain adaption methods to extract domain invariant characteristics of axial flow fan faults, the characteristics of the source and target domains will be close to each other, thereby the distribution of trained source domain characteristics will be changed. When the fault characteristics of the source domain gather at the classification boundary, the trained model will incorrectly classify some target samples. In addition, single source domain adaptation can lead t
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Zhao, S., S. Saha, and X. X. Zhu. "GRAPH NEURAL NETWORK BASED OPEN-SET DOMAIN ADAPTATION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 31, 2022): 1407–13. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-1407-2022.

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Abstract. Owing to the presence of many sensors and geographic/seasonal variations, domain adaptation is an important topic in remote sensing. However, most domain adaptation methods focus on close-set adaptation, i.e., they assume that the source and target domains share the same label space. This assumption often does not hold in practice, as there can be previously unseen classes in the target domain. To circumnavigate this issue, we propose a method for open set domain adaptation, where the target domain contains additional unknown classes that are not present in the source domain. To impr
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Syed, Muhammad Adnan, Yongsheng Ou, Tao Li, and Guolai Jiang. "Lightweight Multimodal Domain Generic Person Reidentification Metric for Person-Following Robots." Sensors 23, no. 2 (2023): 813. http://dx.doi.org/10.3390/s23020813.

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Recently, person-following robots have been increasingly used in many real-world applications, and they require robust and accurate person identification for tracking. Recent works proposed to use re-identification metrics for identification of the target person; however, these metrics suffer due to poor generalization, and due to impostors in nonlinear multi-modal world. This work learns a domain generic person re-identification to resolve real-world challenges and to identify the target person undergoing appearance changes when moving across different indoor and outdoor environments or domai
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Gysi, Tobias, Christoph Müller, Oleksandr Zinenko, et al. "Domain-Specific Multi-Level IR Rewriting for GPU." ACM Transactions on Architecture and Code Optimization 18, no. 4 (2021): 1–23. http://dx.doi.org/10.1145/3469030.

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Most compilers have a single core intermediate representation (IR) (e.g., LLVM) sometimes complemented with vaguely defined IR-like data structures. This IR is commonly low-level and close to machine instructions. As a result, optimizations relying on domain-specific information are either not possible or require complex analysis to recover the missing information. In contrast, multi-level rewriting instantiates a hierarchy of dialects (IRs), lowers programs level-by-level, and performs code transformations at the most suitable level. We demonstrate the effectiveness of this approach for the w
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Xiao, Haitao, Limeng Dong, Wenjie Wang, and Harutoshi Ogai. "Adversarial Auxiliary Weighted Subdomain Adaptation for Open-Set Deep Transfer Bridge Damage Diagnosis." Sensors 23, no. 4 (2023): 2200. http://dx.doi.org/10.3390/s23042200.

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Deep learning models have been widely used in data-driven bridge structural damage diagnosis methods in recent years. However, these methods require training and test datasets to satisfy the same distribution, which is difficult to satisfy in practice. Domain adaptation transfer learning is an efficient method to solve this problem. Most of the current domain adaptation methods focus on close-set scenarios with the same classes in the source and target domains. However, in practical applications, new damage caused by long-term degradation often makes the target and source domains dissimilar in
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Zhang, Yangyang, Ning Xu, Ning Li, and Zhengwei Guo. "A Multi-Domain Joint Novel Method for ISAR Imaging of Multi-Ship Targets." Remote Sensing 15, no. 19 (2023): 4878. http://dx.doi.org/10.3390/rs15194878.

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As a key object on the ocean, regulating civilian and military ship targets more effectively is a very important part of maintaining maritime security. One of the ways to obtain high-resolution images of ship targets is the inverse synthetic aperture radar (ISAR) imaging technique. However, in the actual ISAR imaging process, ship targets in a formation often lead to complicated motion conditions. Due to the close distance between the ship targets, the rough imaging results of the targets cannot be completely separated in the image domain, and the small differences in motion parameters lead to
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SANG NOUR POUR, N., M. NEMATI, M. GOALIPOUR, M. REZAEI, R. KHERADMAND, and G. YU KRYUCHKYAN. "MULTI-FREQUENCY SECOND HARMONIC GENERATION IN IRREGULAR TWO DIMENSIONAL APERIODIC OPTICAL SUPERLATTICES." International Journal of Modern Physics: Conference Series 15 (January 2012): 197–203. http://dx.doi.org/10.1142/s2010194512007155.

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We investigate two dimensional nonlinear aperiodic structures leading to multi quasi-phase-matching conditions and multi-frequency second-harmonic generation (SHG) in one chip. For arranging devices close to an experimental situation the intensities of SHG in dependence from frequencies and direction of radiation are studied for irregular structures with random fluctuations of the sizes of each poling domain. Comparing the regular and irregular two dimensional nonlinear aperiodic structures we study the role of imperfection effects of random fluctuations in multi-frequency SHG.
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Djuhana, Dede, Dita C. C. Oktri, and D. H. Kim. "Micromagnetic Simulation on Ground State Domain Structures of Barium Hexaferrite (BaFe12O19)." Advanced Materials Research 896 (February 2014): 414–17. http://dx.doi.org/10.4028/www.scientific.net/amr.896.414.

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We have systematically investigated the domain structures of Barium Hexaferrite (BaFe12O19) by means of a micromagnetic simulation under zero external magnetic field. A hexagonal-shaped and cylindrical-shaped models are used in this simulation with respect to the diameter variation from 50 nm to 600 nm. A transition domain structure is found from a single-domain (SD) to multi-domain (MD) at a certain diameter. The hexagonal-shaped occurs in diameter 430 nm and cylindrical-shaped in diameter 410 nm. Interestingly, the domain wall of MD structure exhibits a Bloch-wall type. The domain wall width
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Murshid, Syed, Adam Linoby, and Raja Nurul Jannat Raja Hussain. "Effect of single bout exercise modalities on multi-domain cognitive function in recreationally active older adults." Retos 66 (April 14, 2025): 313–22. https://doi.org/10.47197/retos.v66.110457.

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Introduction: The cognitive benefits of a single session of physical activity in older adults are still being studied. Objective: This study explored the effects of single bout exercise of open-skill and closed-skill on cognitive functions, in physically active older adults. Methodology: Ninety-nine health elderly were recruited and assigned to three groups: badminton (n=33), close skill (n=33), and control (n=33). Cognitive assessments, such as the N-back, Stroop, and Trail Making Tests, were administered before and after the exercise sessions. Results: ANOVA showed a primary effect of group
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Books on the topic "Multi close domain"

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Kraska, James, and Raul Pedrozo. Disruptive Technology and the Law of Naval Warfare. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780197630181.001.0001.

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Disruptive technologies have transformed conflict at sea, creating a dynamic and distributed operational environment that extends from the oceans to encompass warfare on land, in the air, outer space, and cyberspace. Naval warfare throughout this integrated multi-domain, networked seascape raises choice of law decisions that include the law of naval warfare and the law of armed conflict; neutrality law; and the peacetime regimes that apply to the oceans, airspace, outer space, and cyberspace. The international law in networked naval warfare must contend with autonomous vessels and aircraft, ar
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Book chapters on the topic "Multi close domain"

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Pham, Thi-Ngan, Quang-Thuy Ha, Minh-Chau Nguyen, and Tri-Thanh Nguyen. "A Probability-Based Close Domain Metric in Lifelong Learning for Multi-label Classification." In Advanced Computational Methods for Knowledge Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-38364-0_13.

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Bouma, Gosse, Ismail Fahmi, and Jori Mur. "Relation Extraction for Open and Closed Domain Question Answering." In Interactive Multi-modal Question-Answering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17525-1_8.

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Curzel, Serena. "Modern High-Level Synthesis: Improving Productivity with a Multi-level Approach." In Special Topics in Information Technology. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51500-2_2.

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AbstractHigh-Level Synthesis (HLS) tools simplify the design of hardware accelerators by automatically generating Verilog/VHDL code starting from a general-purpose software programming language. Because of the mismatch between the requirements of hardware descriptions and the characteristics of input languages, HLS tools still require hardware design knowledge and non-trivial design space exploration, which might be an obstacle for domain scientists seeking to accelerate applications written, for example, in Python-based programming frameworks. This research proposes a modern approach based on
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Soesanto, Stefan, and Max Smeets. "Cyber Deterrence: The Past, Present, and Future." In NL ARMS. T.M.C. Asser Press, 2020. http://dx.doi.org/10.1007/978-94-6265-419-8_20.

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AbstractThe question on whether and how deterring an adversary in or through cyberspace is feasible has provoked the minds of scholars and practitioners for decades. Today, cyber deterrence remains a quintessential anchoring concept for the political debates on cyber policy. However, does the concept of deterrence in cyberspace have a future when for almost three decades little to no seemingly feasible practical solutions nor an academic consensus have emerged? The purpose of this chapter is to situate the current debate on cyber deterrence within the historical evolution of deterrence thinkin
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Mishra, Sushruta, Brojo Kishore Mishra, Hrudaya Kumar Tripathy, Monalisa Mishra, and Bijayalaxmi Panda. "Use of Social Network Analysis in Telecommunication Domain." In Modern Technologies for Big Data Classification and Clustering. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2805-0.ch006.

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Social network analysis (SNA) is the analysis of social communication through network and graph theory. In our chapter the application of SNA has been explored in telecommunication domain. Telecom data consist of Customer data and Call Detail Data (CDR). The proposed work, considers the attributes of call detail data and customer data as different relationship types to model our Multi-relational Telecommunication social network. Typical work on social network analysis includes the discovery of group of customers who shares similar properties. A new challenge is the mining of hidden communities
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Vogel, Stefan, Jendrik Richter, Stefanie Wache, et al. "Evaluation of a Clinical Decision Support System in the Domain of Chronic Wound Management." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210228.

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The PosiThera project focuses on the management of chronic wounds, which is multi-professional and multi-disciplinary. For this context, a software prototype was developed in the project, which is intended to support medical and nursing staff with the assistance of artificial intelligence. In accordance with the user-centred design, national workshops were held at the beginning of the project with the involvement of domain experts in wound care in order to identify requirements and use cases of IT systems in wound care, with a focus on AI. In this study, the focus was on involving nursing and
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Lai, Yanyi, Lele Fu, Tianchi Liao, Chuan Chen, and Zibin Zheng. "FedSeProto: Learning Semantic Prototype in Federated Learning." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia240731.

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Federated learning enables multiple clients to collaboratively train a global model without revealing their local data. However, conventional federated learning often overlooks the fact that data stored on different clients may originate from diverse domains, and the resulting domain shift problem can significantly impair the performance of the global model. In this paper, we introduce Federated Semantic Prototype Learning (FedSeProto), a semantic prototype-based approach designed to address the domain shift issue in federated learning. The proposed method comprises two components: feature dec
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Veeger, Tom. "The Multi Project as the First Encounter With the World of Integrated Design." In Advances in Educational Technologies and Instructional Design. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2329-8.ch019.

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The Multi is a project in the third year of the bachelor of the department of Built Environment (Eindhoven University of Technology) and the first encounter with the world of integrated design. Today's building demands have become increasingly complex which necessitates the preparation of students for a practice in which they are ready to cooperate in design teams in close interaction with all disciplines. The multidisciplinary assignment is a practical assignment designed to train students in solving problems with a high level of complexity. An additional goal is teaching students how to coop
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Pattnaik, Omkar, Sasmita Pani, and Binod Kumar Pattanayak. "VANET: A Machine Learning Approach." In Vehicular Networks - Principles, Enabling Technologies and Modern Applications. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.109349.

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Emerging automotive networks should make the automotive work more secure, greener, and more efficient, and clear the way for autonomous driving to the arrival of the 5G cell. Various new irritants arise due to high sequence factors in vehicle conditions and that is why reconsideration of remote design approaches is also considered. The smart vehicle of the future, which are the backbone of high-performance multi-purpose networks, are gradually being given more advanced sensors and continue to produce information volumes. Machine learning (ML), as an integral part of artificial intelligence (AI
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Gao, Tianyu. "A Joint Extraction Method of Entity Relationship in Tourism Domain Based on Multi-Dimensional Features and Mixed Time Series." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230894.

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Aiming at the problems of entity nesting and relationship overlap in the process of tourism domain information extraction, a joint entity relationship extraction method based on multi-dimensional features and mixed time series was proposed. The relationship extraction model based on multi-dimensional features and mixed time series is constructed by coding layer, entity extraction layer and relationship extraction layer. In the coding layer, BiLSTM can better capture the bidirectional semantic dependence, and use the bidirectional long and short memory network to encode sentences in combination
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Conference papers on the topic "Multi close domain"

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Rudolph, Nate. "Revolutionizing OV-1 creation: human-machine teaming tools for closed environments." In Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VII, edited by Peter J. Schwartz and Myron E. Hohil. SPIE, 2025. https://doi.org/10.1117/12.3053467.

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Saetti, Umberto, Marco Rinaldi, Giorgio Guglieri, Tom Berger, and Linghai Lu. "Identification of Control-Equivalent Turbulence Input (CETI) Models from Rotorcraft Simulations." In Vertical Flight Society 81st Annual Forum and Technology Display. The Vertical Flight Society, 2025. https://doi.org/10.4050/f-0081-2025-81.

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This study introduces a structured methodology for identifying Control-Equivalent Turbulence Input (CETI) models using rotorcraft flight dynamics simulations. A new Moving Spatial Turbulence Field (MSTF) model was developed to generate input datasets, enabling CETI model identification for four distinct aircraft configurations: a generic utility helicopter resembling the H-60, and three small-scale multi-rotor UAS types—a quadcopter, hexacopter, and octocopter. The CETI models were validated in hover using frequency-domain analysis, with flight-derived CETI models serving as the benchmark. To
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Veneziani, N., and V. Giacovazzo. "A Multi-chromatic Approach to SAR Interferometry:Differential Analysis of Interferograms at Close Frequencies in the Spatial Domain and Frequency Domain." In 2006 IEEE International Symposium on Geoscience and Remote Sensing. IEEE, 2006. http://dx.doi.org/10.1109/igarss.2006.954.

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Yu, Xiaochuan, Jeffrey M. Falzarano, and Zhiyong Su. "Time-Domain Simulation of a Multi-Body Floating System in Waves." In ASME 2010 29th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/omae2010-20906.

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It is important to study multi-body dynamics when analyzing the transfer of cargo between ships and platforms at sea. The hydrodynamic interactions should be considered in an accurate way to predict the relative motions between them. In this paper, the response amplitude operators (RAOs) of a single vessel will be compared with those of a multi-body system, considering different spacing between them. Further, the coupled hydrodynamic interactions among multiple vessels in close proximity are studied. Various levels of approximation, including the constant coefficient method (CCM) and the impul
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Gada, Vinesh H., and Atul Sharma. "Simulation of Multi-Mode Film Boiling Using Level Set Method." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-11161.

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2D transient multi-mode film boiling simulation of water near critical pressure (p = 0.99pc = 21.9 MPa) on a heated horizontal surface is carried out using an in-house Level Set (LS) method based semi-explicit finite volume method code. The influence of initial vapor film thickness (yo) on the dominant instability mode is evaluated by carrying out simulations on domain having width greater than most dangerous Taylor wavelength i.e. LX = 4λd with y0 = 0.0425λd and 0.125λd at low wall superheat (ΔT = 2K). For lower initial film thickness, the viscous force dominated Rayleigh-Taylor instability i
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Gonella, Stefano, and Massimo Ruzzene. "Multi-Cell Homogenization of Elastic Periodic Domains." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15956.

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Recently, much attention has been devoted to the application of homogenization methods for the prediction of the dynamic behavior of periodic domains. One of the most popular techniques consists in the application of the Fourier Transform in space which allows the application of Taylor series approximations for low frequencies/long wavelengths. This method provides continuum equations which approximate the dynamic behavior of the considered periodic domain over a range of frequencies which is defined by the order of the considered Taylor series expansion. This technique is very effective, but
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Ji, Chunqun, and John Halkyard. "Assessment of the Operations of Floaters in Close Proximity." In ASME 2005 24th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2005. http://dx.doi.org/10.1115/omae2005-67413.

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Field development in deep water often require floaters to be moored in close proximity, e.g. tender or offset drilling from spars, Dry Tree Units operating in conjunction with FPSOs. Mooring line interference is a key issue which needs to be considered in the design of the systems. This paper provides a study of this for a cell spar and semi-submersible operating in close proximity. Several nominal separation distances between the vessels were considered in the study. This paper presents an example for an initial separation distance of 530 ft (10% of the water depth). A time domain analysis of
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Shakir, Huzefa, and Won-Jong Kim. "Discrete-Time Closed-Loop Model Identification of Fixed-Structure Unstable Multivariable Systems." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41834.

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This paper presents improved empirical representations of a general class of open-loop unstable systems using closed-loop system identification. A multi-axis magnetic-levitation (maglev) nanopositioning system with an extended translational travel range is used as a test bed to verify the closed-loop system-identification method proposed in this paper. A closed-loop identification technique employing the Box-Jenkins (BJ) method and a known controller structure is developed for model identification and validation. Direct and coupling transfer functions (TFs) are then derived from the experiment
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Park, Jae-Yeol, Manjin Kim, and Minkyu Han. "Piping Vibration of Multi-Treater System in OCU Process Plant." In ASME 2019 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/pvp2019-93394.

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Abstract Acoustic-Mechanical coupling effect on piping dynamics is examined on site with measurement and analytical development. In this article, a multi-treater piping system in OCU (Olefin Conversion Unit) plant is subjected to investigation since significant piping vibration prevents the normal operation when some specific combinations of two treaters are operated. There is severe piping and structure vibration problem especially with increased capacity. Measurement in frequency domain shows two peaks so close each other to result in high amplitude in the piping system vibration by beating
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Guo, Yanming, and Yong Shuai. "Predicting Multi-Order Magnetic Polaritons Resonance in SiC Slit Arrays by Improved LC Circuit Model." In ASME 2019 6th International Conference on Micro/Nanoscale Heat and Mass Transfer. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/mnhmt2019-4147.

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Abstract Magnetic polariton (MP) that couples electromagnetic waves with magnetic excitation can be predicted by equivalent inductor-capacitor (LC) circuit model. However, when the resonance frequencies of MP and surface phonon polariton (SPhP) is close, the absorption peak predicted by the previous LC circuit model are far different from solving electromagnetic field calculation results. Absorption enhancement with a SiC slit array is theoretically demonstrated within the SiC phonon absorption band with Finite-difference time-domain (FDTD) method. The electromagnetic field distributions confi
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Reports on the topic "Multi close domain"

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Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are ob
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