Relevant bibliographies by topics / FD4 algorithm

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'FD4 algorithm'

Author: Grafiati
Published: 7 June 2025
Last updated: 17 July 2025

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Journal articles on the topic "FD4 algorithm"

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Bassa, C. G., J. W. Romein, B. Veenboer, S. van der Vlugt, and S. J. Wijnholds. "Fourier-domain dedispersion." Astronomy & Astrophysics 657 (January 2022): A46. http://dx.doi.org/10.1051/0004-6361/202142099.

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We present and implement the concept of the Fourier-domain dedispersion (FDD) algorithm, a brute-force incoherent dedispersion algorithm. This algorithm corrects the frequency-dependent dispersion delays in the arrival time of radio emission from sources such as radio pulsars and fast radio bursts. Where traditional time-domain dedispersion algorithms correct time delays using time shifts, the FDD algorithm performs these shifts by applying phase rotations to the Fourier-transformed time-series data. Incoherent dedispersion to many trial dispersion measures (DMs) is compute-, memory-bandwidth-
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Liu, Qinghua, Kai Ding, Bingsen Wu, and Quanmin Xie. "Frequency Diverse Array Target Localization Based on IPSO-BP." International Journal of Antennas and Propagation 2020 (August 27, 2020): 1–8. http://dx.doi.org/10.1155/2020/2501731.

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For the traditional target localization algorithms of frequency diverse array (FDA), there are some problems such as angle and distance coupling in single-frequency receiving FDA mode, large amount of calculation, and weak adaptability. This paper introduces a good learning and predictive method of target localization by using BP neural network on FDA, and FDA-IPSO-BP neural network algorithm is formed. The improved particle swarm optimization (IPSO) algorithm with nonlinear weights is developed to optimize the neural network weights and biases to prevent BP neural network from easily falling
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Narasimhadhan, A. V., and Kasi Rajgopal. "FDK-Type Algorithms with No Backprojection Weight for Circular and Helical Scan CT." International Journal of Biomedical Imaging 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/969432.

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We develop two Feldkamp-type reconstruction algorithms with no backprojection weight for circular and helical trajectory with planar detector geometry. Advances in solid-state electronic detector technologies lend importance to CT systems with the equispaced linear array, the planar (flat panel) detectors, and the corresponding algorithms. We derive two exact Hilbert filtered backprojection (FBP) reconstruction algorithms with no backprojection weight for 2D fan-beam equispace linear array detector geometry (complement of the equi-angular curved array detector). Based on these algorithms, the
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Wu, Lei Lei, Nai Ping Cheng, and Xu Guang Liu. "Joint Synchronization of Timing and Frequency Algorithm Based on Training Symbol in SC-FDE Systems." Applied Mechanics and Materials 329 (June 2013): 461–66. http://dx.doi.org/10.4028/www.scientific.net/amm.329.461.

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Common joint synchronization of timing and frequency algorithms based on training symbols are analyzed. Training symbols are discussed and then a new algorithm based on training symbol with special structure is proposed and applied in SC-FDE (Single Carrier Frequency Domain Equalization) systems. The proposed algorithm absorbs the advantages of the common algorithms and comparison between different algorithms shows that the proposed algorithm achieves better performance.
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Altun, Bekir Emre, Enes Kaymaz, Mustafa Dursun, and Ugur Guvenc. "Hyper-FDB-INFO Algorithm for Optimal Placement and Sizing of FACTS Devices in Wind Power-Integrated Optimal Power Flow Problem." Energies 17, no. 23 (2024): 6087. https://doi.org/10.3390/en17236087.

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In this study, firstly, the balance between the exploration and exploitation capabilities of the weighted mean of vectors (INFO) algorithm was developed using the fitness–distance balance (FDB) method. Then, the FDB-INFO algorithm was developed with a hyper-heuristic method to create the beginning optimal population by using Linear Population Reduction Success History-based Adaptive Differential Evolution (LSHADE) and a novel Hyper-FDB-INFO algorithm was presented. Finally, the developed Hyper-FDB-INFO algorithm was applied to solve the optimal placement and sizing of FACTS devices for the opt
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Mühlenbein, Heinz, and Thilo Mahnig. "FDA -A Scalable Evolutionary Algorithm for the Optimization of Additively Decomposed Functions." Evolutionary Computation 7, no. 4 (1999): 353–76. http://dx.doi.org/10.1162/evco.1999.7.4.353.

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The Factorized Distribution Algorithm (FDA) is an evolutionary algorithm which combines mutation and recombination by using a distribution. The distribution is estimated from a set of selected points. In general, a discrete distribution defined for n binary variables has 2n parameters. Therefore it is too expensive to compute. For additively decomposed discrete functions (ADFs) there exist algorithms which factor the distribution into conditional and marginal distributions. This factorization is used by FDA. The scaling of FDA is investigated theoretically and numerically. The scaling depends
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Castillo, Oscar, Fevrier Valdez, José Soria, Leticia Amador-Angulo, Patricia Ochoa, and Cinthia Peraza. "Comparative Study in Fuzzy Controller Optimization Using Bee Colony, Differential Evolution, and Harmony Search Algorithms." Algorithms 12, no. 1 (2018): 9. http://dx.doi.org/10.3390/a12010009.

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This paper presents a comparison among the bee colony optimization (BCO), differential evolution (DE), and harmony search (HS) algorithms. In addition, for each algorithm, a type-1 fuzzy logic system (T1FLS) for the dynamic modification of the main parameters is presented. The dynamic adjustment in the main parameters for each algorithm with the implementation of fuzzy systems aims at enhancing the performance of the corresponding algorithms. Each algorithm (modified and original versions) is analyzed and compared based on the optimal design of fuzzy systems for benchmark control problems, esp
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Fan, Yuqi, Sheng Zhang, Yaping Wang, Di Xu, and Qisong Zhang. "An Improved Flow Direction Algorithm for Engineering Optimization Problems." Mathematics 11, no. 9 (2023): 2217. http://dx.doi.org/10.3390/math11092217.

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Flow Direction Algorithm (FDA) has better searching performance than some traditional optimization algorithms. To give the basic Flow Direction Algorithm more effective searching ability and avoid multiple local minima under the searching space, and enable it to obtain better search results, an improved FDA based on the Lévy flight strategy and the self-renewable method (LSRFDA) was proposed in this paper. The Lévy flight strategy and the self-renewable approach were added to the basic Flow Direction Algorithm. Random parameters generated by the Lévy flight strategy can increase the algorithm’
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Ivanovа, V. R., I. Y. Ivanov, and V. V. Novokreshchenov. "Structural and parametric synthesis of anti-average control algorithms for realizing adaptive frequency operating automaticselectrotechnical systems." Power engineering: research, equipment, technology 21, no. 4 (2019): 66–76. http://dx.doi.org/10.30724/1998-9903-2019-21-4-66-76.

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In the event of accidents in power systems associated with a reduction in frequency in order to prevent the complete repayment of the energy district and accelerate the elimination of the accident, frequency division automatics (FDA) are used. Existing technical solutions for the implementation of the FDA do not always provide a balance of the generated and consumed power under the action of the FDA, since the current circuit-mode situation is not taken into account. The aim of this work is to develop effective algorithms for the functioning of adaptive FDA, which allocates power units of a po
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Rakers, Margot M., Marieke M. van Buchem, Sergej Kucenko, et al. "Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care." JAMA Network Open 7, no. 9 (2024): e2432990. http://dx.doi.org/10.1001/jamanetworkopen.2024.32990.

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ImportanceThe aging and multimorbid population and health personnel shortages pose a substantial burden on primary health care. While predictive machine learning (ML) algorithms have the potential to address these challenges, concerns include transparency and insufficient reporting of model validation and effectiveness of the implementation in the clinical workflow.ObjectivesTo systematically identify predictive ML algorithms implemented in primary care from peer-reviewed literature and US Food and Drug Administration (FDA) and Conformité Européene (CE) registration databases and to ascertain
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Dissertations / Theses on the topic "FD4 algorithm"

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Araujo, Ericky Caldas de Almeida. "Estudo e aplicação do algoritmo FDK para a reconstrução de imagens tomográficas multi-cortes." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/43/43134/tde-10032009-132445/.

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O presente projeto consistiu no estudo e aplicação do algoritmo FDK (Feldkamp-Davis-Kress) para a reconstrução de imagens tomográficas utilizando a geometria de feixe cônico, resultando na implementação de um sistema adaptado de tomografia computadorizada multicortes (TCMC). Para a aquisição das projeções, utilizou-se uma plataforma giratória com goniômetro acoplado, um equipamento de raios X e um detector digital, tipo CCD. Para processar a reconstrução das imagens, foi utilizado um PC, no qual foi implementado o algoritmo FDK. Inicialmente foi aplicado o algoritmo FDK original, no qual se as
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Pereira, Daniel Rodrigues. "Equivalência entre dois algoritmos de pontos interiores FDIPA e FDA-NCP." Universidade Federal de Juiz de Fora (UFJF), 2017. https://repositorio.ufjf.br/jspui/handle/ufjf/4075.

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Submitted by Renata Lopes (renatasil82@gmail.com) on 2017-04-17T20:10:32Z No. of bitstreams: 1 danielrodriguespereira.pdf: 736772 bytes, checksum: d15b2f08bb14ed58ae985f6123258ed5 (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2017-04-18T13:51:41Z (GMT) No. of bitstreams: 1 danielrodriguespereira.pdf: 736772 bytes, checksum: d15b2f08bb14ed58ae985f6123258ed5 (MD5)<br>Made available in DSpace on 2017-04-18T13:51:41Z (GMT). No. of bitstreams: 1 danielrodriguespereira.pdf: 736772 bytes, checksum: d15b2f08bb14ed58ae985f6123258ed5 (MD5) Previous
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Röös, Katja, and Jenny Hansdotter. "Scheduling modern elevators : A comparison of the two algorithms FSO and FS4." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166717.

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Two of the most common elevator algorithms, FS4 and FSO, are discussed in this thesis. Their pros and cons regarding passenger waiting time and energy consumption are compared to find which of the algorithms perform best and what factors affect this. These topics are of interest for owners of modern building.By developing a simulation program the behavior of elevators controlled by these algorithms were simulated. Passenger pattern in the simulation was meant to emulate the pattern that occurs in office buildings at lunch hour.The conclusion is that due to differences in sector usage and speci
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Neumann, Geoffrey K. "TEDA : a Targeted Estimation of Distribution Algorithm." Thesis, University of Stirling, 2014. http://hdl.handle.net/1893/20248.

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This thesis discusses the development and performance of a novel evolutionary algorithm, the Targeted Estimation of Distribution Algorithm (TEDA). TEDA takes the concept of targeting, an idea that has previously been shown to be effective as part of a Genetic Algorithm (GA) called Fitness Directed Crossover (FDC), and introduces it into a novel hybrid algorithm that transitions from a GA to an Estimation of Distribution Algorithm (EDA). Targeting is a process for solving optimisation problems where there is a concept of control points, genes that can be said to be active, and where the total n
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Cabarcas, Daniel. "An Implementation of Faugère's F4 Algorithm for Computing Gröbner Bases." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1277120935.

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Domínguez, Joel Sánchez. "Paralelização do algoritmo FDK para reconstrução 3D de imagens tomográficas usando unidades gráficas de processamento e CUDA-C." Universidade do Estado do Rio de Janeiro, 2012. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=3811.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>A obtenção de imagens usando tomografia computadorizada revolucionou o diagnóstico de doenças na medicina e é usada amplamente em diferentes áreas da pesquisa científica. Como parte do processo de obtenção das imagens tomográficas tridimensionais um conjunto de radiografias são processadas por um algoritmo computacional, o mais usado atualmente é o algoritmo de Feldkamp, David e Kress (FDK). Os usos do processamento paralelo para acelerar os cálculos em algoritmos computacionais usando as diferentes tecnologias disponíveis no mer
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Kozel, Martin. "Algoritmy monitorování a diagnostiky elektrických pohonů založené na modelu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220904.

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The aim of this thesis is to investigate PMSM models with internal faults. Two fault models are introduced. One of them is suitable for simulation of stator winding inter-turn short fault in case of one pole-pair motor and other one for simulation of inter-turn fault in case of multiple pole-pair motor. There are described some methods for model based fault detection of internal faults and sensor faults.
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Doktorová, Alice. "Gröbnerovy báze, Čuang-c’ův algoritmus a ataky multivariačních kryptosystémů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2013. http://www.nusl.cz/ntk/nusl-230856.

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This diploma thesis is devoted to the multivariate cryptosystems. It includes an overview of commutative algebra with emphasis on Gröbner bases. Of all algorithms, especially the ones using Gröbner bases are studied, i.e. Buchberger's algorithm, which is already implemented in Wolfram Mathematica, and F4 algorithm, for which a program package has been created in the Wolfram Mathematica environment. Also Zhuang-Zi algorithm is described. To simplify its steps a program to compute the Lagrange interpolation polynomial has been created in Python.
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Biswas, Debashis. "An Algorithm for Mining Adverse-Event Datasets for Detection of Post Safety Concern of a Drug." Scholarly Repository, 2010. http://scholarlyrepository.miami.edu/oa_theses/17.

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Signal detection from Adverse Event Reports (AERs) is important for identifying and analysing drug safety concern after a drug has been released into the market. A safety signal is defined as a possible causal relation between an adverse event and a drug. There are a number of safety signal detection algorithms available for detecting drug safety concern. They compare the ratio of observed count to expected count to find instances of disproportionate reportings of an event for a drug or combination of events for a drug. In this thesis, we present an algorithm to mine the AERs to identify drugs
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Henriksson, Mikael. "Implementation of a Hardware Coordinate Wise Descend Algorithm with Maximum Likelihood Estimator for Use in mMTC Activity Detection." Thesis, Linköpings universitet, Datorteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171071.

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In this work, a coordinate wise descent algorithm is implemented which serves the purpose of estimating active users in a base station/client wireless communication setup. The implemented algorithm utilizes the sporadic nature of users, which is believed to be the norm with 5G Massive MIMO and Internet of Things, meaning that only a subset of all users are active simultaneously at any given time. This work attempts to estimate the viability of a direct algorithm implementation to test if the performance requirements can be satisfied or if a more sophisticated implementation, such as a parallel
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Books on the topic "FD4 algorithm"

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Boĭko, V. N. Algoritm perevoda koordinat zvezd, zadannykh v sisteme FK4, k sisteme astronomicheskikh postoi͡a︡nnykh MAS (1976 g.), ėpokhe i ravnodenstvii͡u︡ J2000.0 i privedenii͡a︡ na vidimoe mesto. In-t teoret. astronomii Akademii nauk SSSR, 1986.

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Goodman, Wayne K., and Mark S. George. Neuromodulation and Psychiatric Disorders. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0010.

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An increasing number of approaches permit psychiatrists to directly stimulate the brain. Such therapies are sometimes referred to as neuromodulation, as psychiatrists can either excite or inhibit neuronal firing in the brain. This chapter reviews two such technologies—transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS). Both techniques have FDA approval and are moving into mainstream therapeutic use. Daily prefrontal TMS for 4–6 weeks is FDA approved for treating depression, with minimal side effects. It is now accepted in most treatment algorithms as an approach for patie
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Book chapters on the topic "FD4 algorithm"

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Petraki, E. N., E. J. Yannakoudakis, and C. A. Kapetis. "Conceptual Search Algorithms for FDB Databases." In Strategic Innovative Marketing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56288-9_62.

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Ito, Takuma, Naoyuki Shinohara, and Shigenori Uchiyama. "An Efficient $$F_4$$ -style Based Algorithm to Solve MQ Problems." In Advances in Information and Computer Security. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26834-3_3.

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Urunkar, Rushikesh P., and Sachin Mastud. "Development of Part Build Orientation Algorithm for FDM 3D Printing." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7787-8_23.

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Liu, Yinshan, Xiaofeng Zhong, Jing Wang, Yang Lan, and Atsushi Harada. "Performance Evaluation with Control Channel on the Coexistence Scenario of TD-LTE and LTE-FDD." In Wireless Algorithms, Systems, and Applications. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39701-1_2.

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Yodo, Nita, and Arup Dey. "Multi-Objective Optimization for FDM Process Parameters with Evolutionary Algorithms." In Materials Forming, Machining and Tribology. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68024-4_22.

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Lowe, Gavin. "Breaking and fixing the Needham-Schroeder Public-Key Protocol using FDR." In Tools and Algorithms for the Construction and Analysis of Systems. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61042-1_43.

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Aratani, T. "A Smart Algorithm of CFD on the Stabilized FDM by Self-Diffusion." In Computational Mechanics ’95. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79654-8_145.

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Yu, Ke, Zhisheng Zhang, Zhiting Zhou, and Min Dai. "A Modified Bresenham Algorithm for Control System of FDM Three-Dimensional Printer." In Mechatronics and Machine Vision in Practice 4. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43703-9_11.

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Maletzky, Alexander, and Fabian Immler. "Gröbner Bases of Modules and Faugère’s $$F_4$$F4 Algorithm in Isabelle/HOL." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96812-4_16.

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Tamilarasan, A., D. Rajamani, P. Pranay, P. Manohar, A. Venkata Akhil, and B. Thirupathi Reddy. "Moth-Flame Optimization Algorithm for Improving the Surface Roughness on FDM Processed Parts." In Springer Proceedings in Materials. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6267-9_43.

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Conference papers on the topic "FD4 algorithm"

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Shan, Yinghao, Muhammad Afzal, Xiaowu Lin, and Xiaowei Wang. "Research on Microgrid Frequency Defense Against FDI Attacks Based on Artificial Neural Networks." In 2025 8th International Conference on Advanced Algorithms and Control Engineering (ICAACE). IEEE, 2025. https://doi.org/10.1109/icaace65325.2025.11020523.

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Tan, Hang, and Xiaoming Gou. "Fast Convergent FDA Transmit Beamforming Based on Interior Point Algorithm." In 2024 14th International Symposium on Antennas, Propagation and EM Theory (ISAPE). IEEE, 2024. https://doi.org/10.1109/isape62431.2024.10840639.

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Anand Kumar, A., M. Kathirvelu, C. Bharathiraja, G. Guruprasath, P. Karthickprasad, and D. Navinya. "Design of Wearable Textile Antenna for Medical and Wireless Application." In International Conference on Design, Materials and Metaheuristic Algorithms for Engineering. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-oakl4q.

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Wearable antenna design is becoming a growing subject of study because of its numerous applications. Patch antennas are the major focus of the Wireless Body Area Network (WBAN) application since they are affordable, lightweight, and have a straightforward design. With wearable uses in mind, we will be using a microstrip patch antenna. The planned antenna has measurements of 60 X 60 X 1.6 mm and a fr4 dielectric constant substrate with value of 1.6. Resonance frequency of the antenna is 2.45 GHz. It is possible to use this proposed antenna in military jackets, and it has a gain of 2.96 dBi. Due
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Yao, Xin, Zhixuan Zhao, and Jinrong He. "The research on perilla identification algorithm based on FDA and SVM." In 4th International Conference on Electronic Information Engineering and Data Processing (EIEDP 2025), edited by Azlan Bin Mohd Zain and Lei Chen. SPIE, 2025. https://doi.org/10.1117/12.3067104.

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Wang, Yu, and Yuanyuan Xu. "A Phase Noise Immune Equalization Algorithm For Millimeter Wave SC-FDE System." In 2024 IEEE 12th International Conference on Computer Science and Network Technology (ICCSNT). IEEE, 2024. https://doi.org/10.1109/iccsnt62291.2024.10776664.

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Narendra, Pat. "VLSI Architectures for Real-Time Image Processing." In Machine Vision. Optica Publishing Group, 1985. http://dx.doi.org/10.1364/mv.1985.fd4.

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Real-time image processing has come of age in numerous industrial and military applications. Now is the opportune moment to define architectures which can yield low cost generic VLSI building blocks spanning the various algorithm and system requirements. In this paper, we summarize typical sensor formats and algorithms to identify common data flow and computational structures required for their real-time VLSI implementation. A set of criteria for evaluating architectures for VLSI is developed and used to examine several representative architectures. Recommendations for common VLSI building blo
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Gong, Dayue, Xiaoning Zhang, Hongfang Yu, Ximo Ling, Dan Liao, and Hongbin Luo. "A Novel Survivable Traffic Grooming Algorithm with Inter-Layer Sharing in IP/MPLS-over-WDM Mesh Networks." In Asia Communications and Photonics Conference and Exhibition. OSA, 2009. http://dx.doi.org/10.1364/acp.2009.fd4.

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Bin, Y., A. Reama, A. Cela, R. Natowicz, H. Abderrahmane, and Y. Li. "On Fast Dynamic Programming for Power Splitting Control of Plug-In Hybrid Electric Vehicles." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2716.

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A Fast Dynamic Programming (FDP) algorithm is proposed to optimize the fuel consumption of the Plug-in Hybrid Electronic Vehicles (PHEV) over a prescribed driving cycle. Firstly, an innovative DP mathematical model for PHEV with reduced dimension is created. It composes of a linear state transfer equation and a quadratic cost function with 1×1 dimension. Based on this model, two algorithms expressed as the simple analytic forms are derived. One is the control algorithm for the optimal power splitting ratio (PSR) between the internal combustion engine (ICE) power and demand power. Another is th
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Xie, Jinyu, and Qian Wang. "Meal Detection and Meal Size Estimation for Type 1 Diabetes Treatment: A Variable State Dimension Approach." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9905.

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To compensate the glucose variability caused by meals is essential in developing Artificial Pancreas for type 1 diabetes. Most existing algorithms rely on meal announcements and determine the insulin doses based on an Insulin-to-Carbohydrate ratio (I:C ratio). However, patients, especially young patients, often forget to provide meal information under natural living conditions. A Variable State Dimension (VSD) based algorithm is developed to detect meals which are unknown to the controller (unannounced meals). The algorithm is evaluated using an FDA-approved UVa/Padova simulator and has demons
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Cox, Hollace L., and Timothy G. Merse. "Finite-difference method for planar slab waveguide eigenvalue and field distribution evaluation." In OSA Annual Meeting. Optica Publishing Group, 1991. http://dx.doi.org/10.1364/oam.1991.tuii7.

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A finite-difference method (FDM) algorithm has been developed to solve for the eigenvalues, the system effective indices, along with field distributions directly from the scalar Helmholtz equation for both graded-index and step-index waveguides. The algorithm for the FDM is presented along with a summary of the results from the standard programs using the transverse resonance condition to evaluate the optical parameters for step-index waveguides and the WKB method for graded-index waveguides. FDM results are also compared with those obtained from the zero-element method and the propagating bea
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Reports on the topic "FD4 algorithm"

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Vorobiev, O. Simple Common Plane contact algorithm for explicit FE/FD methods. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/899442.

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Gramann, Richard A. ABF Algorithms Implemented at ARL:UT, Technical Report Under Contract N00039-91-C-0082, TD No. 01A1002, FDS System Engineering and Acoustics. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada252368.

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