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Academic literature on the topic 'BFOA'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "BFOA"

1

Lenin, K. "ACTUAL POWER LOSS REDUCTION BY AUGMENTED PARTICLE SWARM OPTIMIZATION ALGORITHM." International Journal of Research -GRANTHAALAYAH 6, no. 9 (September 30, 2018): 212–19. http://dx.doi.org/10.29121/granthaalayah.v6.i9.2018.1222.

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This paper presents an advanced particle swarm optimization Algorithm for solving the reactive power problem in power system. Bacterial Foraging Optimization Algorithm (BFOA) has recently emerged as a very powerful technique for real parameter optimization. In order to overcome the delay in optimization and to further enhance the performance of BFO, this paper proposed a new hybrid algorithm combining the features of BFOA and Particle Swarm Optimization (PSO) called advanced bacterial foraging-oriented particle swarm optimization (ABFPSO) algorithm for solving reactive power problem. The simulation results demonstrate good performance of the ABFPSO in solving an optimal reactive power problem. In order to evaluate the proposed algorithm, it has been tested on IEEE 57 bus system and compared to other algorithms.

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Wang, Xingzhong, Xinghua Kou, Jinfeng Huang, and Xianchun Tan. "A Collision Avoidance Method for Intelligent Ship Based on the Improved Bacterial Foraging Optimization Algorithm." Journal of Robotics 2021 (February 9, 2021): 1–10. http://dx.doi.org/10.1155/2021/6661986.

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The bacterial foraging optimization algorithm (BFOA) is an intelligent population optimization algorithm widely used in collision avoidance problems; however, the BFOA is inappropriate for the intelligent ship collision avoidance planning with high safety requirements because BFOA converges slowly, optimizes inaccurately, and has low stability. To fix the above shortcomings of BFOA, an autonomous collision avoidance algorithm based on the improved bacterial foraging optimization algorithm (IBFOA) is demonstrated in this paper. An adaptive diminishing fractal dimension chemotactic step length is designed to replace the fixed step length to achieve the adaptive step length adjustment, an optimal swimming search method is proposed to solve the invalid searching and repeated searching problems of the traditional BFOA, and the adaptive migration probability is developed to take the place of the fixed migration probability to prevent elite individuals from being lost in BOFA. The simulation of benchmark tests shows that the IBFOA has a better convergence speed, optimized accuracy, and higher stability; according to a collision avoidance simulation of intelligent ships which applies the IBFOA, it can realize the autonomous collision avoidance of intelligent ships in dynamic obstacles environment is quick and safe. This research can also be used for intelligent collision avoidance of automatic driving ships.

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Zambrano Zambrano, Dannyll Michellc, Darío Vélez, Yohanna Daza, and José Manuel Palomares. "Parametric Analysis of BFOA for Minimization Problems Using a Benchmark Function." Enfoque UTE 10, no. 3 (September 30, 2019): 67–80. http://dx.doi.org/10.29019/enfoque.v10n3.490.

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This paper presents the social foraging behavior of Escherichia coli (E. Coli) bacteria based on Bacteria Foraging Optimization algorithms (BFOA) to find optimization and distributed control values. The search strategy for E. coli is very complex to express and the dynamics of the simulated chemotaxis stage in BFOA is analyzed with the help of a simple mathematical model. The methodology starts from a detailed analysis of the parameters of bacterial swimming and tumbling (C) and the probability of elimination and dispersion (Ped), then an adaptive variant of BFOA is proposed, in which the size of the chemotherapeutic step is adjusted according to the current suitability of a virtual bacterium. To evaluate the performance of the algorithm in obtaining optimal values, the resolution was applied to one of the benchmark functions, in this case the Ackley minimization function, a comparative analysis of the BFOA is then performed. The simulation results have shown the validity of the optimal values (minimum or maximum) obtained on a specific function for real world problems, with a function belonging to the benchmark group of optimization functions.

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Hernández-Ocaña, Betania, José Hernández-Torruco, Oscar Chávez-Bosquez, Maria Calva-Yáñez, and Edgar Portilla-Flores. "Bacterial Foraging-Based Algorithm for Optimizing the Power Generation of an Isolated Microgrid." Applied Sciences 9, no. 6 (March 26, 2019): 1261. http://dx.doi.org/10.3390/app9061261.

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An Isolated Microgrid (IMG) is an electrical distribution network combined with modern information technologies aiming at reducing costs and pollution to the environment. In this article, we implement the Bacterial Foraging Optimization Algorithm (BFOA) to optimize an IMG model, which includes renewable energy sources, such as wind and solar, as well as a conventional generation unit based on diesel fuel. Two novel versions of the BFOA were implemented and tested: Two-Swim Modified BFOA (TS-MBFOA), and Normalized TS-MBFOA (NTS-MBFOA). In a first experiment, the TS-MBFOA parameters were calibrated through a set of 87 independent runs. In a second experiment, 30 independent runs of both TS-MBFOA and NTS-MBFOA were conducted to compare their performance on minimizing the IMG using the best parameter tuning. Results showed that TS-MBFOA obtained better numerical solutions compared to NTS-MBFOA and LSHADE-CV, an Evolutionary Algorithm, found in the literature. However, the best solution found by NTS-MBFOA is better from a mechatronic point of view because it favors the lifetime of the IMG, resulting in economic savings in the long term.

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Teja, Venigalla Sai, Chilakapati Srinivas, and P. Radhika. "Plant Disease Detection and Classification Using Bacteria Foraging Optimization Algorithm Through Convolution Neural Network." Journal of Computational and Theoretical Nanoscience 17, no. 8 (August 1, 2020): 3567–76. http://dx.doi.org/10.1166/jctn.2020.9233.

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Humans can recognize the plants infected by diseases but separated from our visual perception it is hard to recognize plant diseases. In croplands without taking the right care and prompt action, the entire field may become a region afflicted by diseases. So we identify the plant diseases ahead of time with the assistance of present-day computer technologies. An advanced model was introduced to accurately recognize and classification plant diseases. Here we proposed an approach that can use the Convolutional Neural Network (CNN) based on BFOA for distinguishing diseases in plants. The input picture for the extraction of features is divided into 3 clusters by the Euclidean distance measurement metric of the k-mean algorithm and from the ROI, parameters of the GLCM matrix are calculated in the same cluster prior to BFOA. Assigning matrix parameters as BFOA input improves the network’s accuracy and efficiency in determining. In classification, we proposed a Convolutional Neural Network (CNN) using ResNet50 as a pre-trained network in deep learning toolbox which classifies from a given dataset. The approach is more reliable as the detection and classification of plant diseases are more precise.

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Sodsri, Parichart, Bongkoj Sookananta, and Mongkol Pusayatanont. "Optimal Placement of Distributed Generation Using Bacterial Foraging Optimization Algorithm." Applied Mechanics and Materials 781 (August 2015): 329–32. http://dx.doi.org/10.4028/www.scientific.net/amm.781.329.

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This paper presents the determination of the optimal distributed generation (DG) placement using bacterial foraging optimization algorithm (BFOA). The BFO mimics the seeking-nutrient behavior of the E. coli bacteria. It is utilized here to find the location and size of the DG installation in radial distribution system in order to obtain minimum system losses. The operation constraints include bus voltage limits, distribution line thermal limits, system power balance and generation power limits. The algorithm is tested on the IEEE 33 bus system. The result shows that the algorithm could be used as an alternative to the other techniques and improvement of the algorithm is required for acceleration and better accuracy of the calculation.

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Abdul Razak, Intan Azmira Wan, Izham Zainal Abidin, Yap Keem Siah, Aidil Azwin Zainul Abidin, Titik Khawa Abdul Rahman, Nurliyana Baharin, and Mohd Hafiz Bin Jali. "An Hour Ahead Electricity Price Forecasting with Least Square Support Vector Machine and Bacterial Foraging Optimization Algorithm." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 2 (May 1, 2018): 748. http://dx.doi.org/10.11591/ijeecs.v10.i2.pp748-755.

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<span lang="EN-US">Predicting electricity price has now become an important task in power system operation and planning. An hour-ahead forecast provides market participants with the pre-dispatch prices for the next hour. It is beneficial for an active bidding strategy where amount of bids can be reviewed or modified before delivery hours. However, only a few studies have been conducted in the field of hour-ahead forecasting. This is due to most power markets apply two-settlement market structure (day-ahead and real time) or standard market design rather than single-settlement system (real time). Therefore, a hybrid multi-optimization of Least Square Support Vector Machine (LSSVM) and Bacterial Foraging Optimization Algorithm (BFOA) was designed in this study to produce accurate electricity price forecasts with optimized LSSVM parameters and input features. So far, no works has been established on multistage feature and parameter optimization using LSSVM-BFOA for hour-ahead price forecast. The model was examined on the Ontario power market. A huge number of features were selected by five stages of optimization to avoid from missing any important features. The developed LSSVM-BFOA shows higher forecast accuracy with lower complexity than most of the existing models.</span>

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Zheng, S., A. N. Jiang, X. R. Yang, and G. C. Luo. "A New Reliability Rock Mass Classification Method Based on Least Squares Support Vector Machine Optimized by Bacterial Foraging Optimization Algorithm." Advances in Civil Engineering 2020 (August 17, 2020): 1–13. http://dx.doi.org/10.1155/2020/3897215.

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Classification of the surrounding rock is the basis of tunnel design and construction. However, conventional classification methods do not allow dynamic tunnel construction adjustments because they are time-consuming and do not consider the randomness of rock mass. This paper presents a new reliability rock mass classification method based on a least squares support vector machine (LSSVM) optimized by a bacterial foraging optimization algorithm (BFOA). The LSSVM is adopted to express the implicit relationship between classification indicators and rock mass grades, which is a response surface function for reliability evaluation. LSSVM parameters were optimized by the BFOA to form a hybrid BFOA-LSSVM algorithm. Using geological prediction and rock strength resilience results as classification indicators, samples were developed to train the LSSVM model using the hybrid algorithm. The Monte Carlo sampling method of reliability classification was implemented and applied to the Suqiao tunnel at the Puyan highway in the Fujian province of China; the influence of parameters on the performance of the algorithm is discussed. The results indicate that the new method is feasible for tunnel engineering; it can improve the classification accuracy of surrounding rock exhibiting randomness, to provide an effective means of classifying surrounding rock in the dynamic design of tunnel construction.

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Elsisi, M., M. Soliman, M. A. S. Aboelela, and W. Mansour. "ABC Based Design of PID Controller for Two Area Load Frequency Control with Nonlinearities." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 1 (October 1, 2015): 58. http://dx.doi.org/10.11591/tijee.v16i1.1588.

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This paper presents an application of the Artificial Bee Colony (ABC) to optimize the parameters of Proportional-Integral-Derivative controller (PID) of nonlinear Load Frequency Controller (LFC) for a power system. A two area non reheat thermal system is equipped with PID controller. ABC is employed to search for optimal controller parameters to minimize the time domain objective function. The performance of the proposed technique has been evaluated with the performance of the conventional Ziegler Nichols (ZN) , Genetic Algorithm (GA) and Bacterial Foraging Optimization Algorithm (BFOA) in order to demonstrate the superior efficiency of the proposed ABC in tuning PID controller. By comparison with the conventional technique, GA and BFOA, the effectiveness of the proposed ABC is validated over different operating conditions, and system parameters variations.

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Zhu, Yuanyuan, Shijie Su, Yuchen Qian, Yun Chen, and Wenxian Tang. "Parameter Optimization for Ship Antiroll Gyros." Applied Sciences 10, no. 2 (January 16, 2020): 661. http://dx.doi.org/10.3390/app10020661.

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Ship antiroll gyros are a type of equipment used to reduce ships’ roll angle, and their parameters are related to the parameters of a ship and wave, which affect gyro performance. As an alternative framework, we designed a calculation method for roll reduction rate and considered random waves to establish a gyro parameter optimization model, and we then solved it through the bacteria foraging optimization algorithm (BFOA) and pattern search optimization algorithm (PSOA) to obtain optimal parameter values. Results revealed that the two methods could effectively reduce the overall mass and floor space of the antiroll gyro and improved its antirolling effect. In addition, the convergence speed and antirolling effect of the BFOA were better than that of the PSOA.

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Dissertations / Theses on the topic "BFOA"

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Wade, A. A. "Optimising BFWA networks." Thesis, Cardiff University, 2005. http://orca.cf.ac.uk/55997/.

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2

Molony, Mary Carolyn. "Confessions: A BFA Exhibition." Digital Commons @ East Tennessee State University, 2011. https://dc.etsu.edu/honors/154.

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The artist discusses her Bachelor of Fine Arts Exhibition, Confessions, held at the Tipton Gallery, from November 14th to November 25th. The exhibit portrays how the artist responds to issues such as organized religion, war, and politics. Being drawn to art from the Renaissance to Baroque era, the work encorporates an "old world" aesthetic, also with an emphasis on Gothic architecture.

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Frazier, Jane. "Exploring the BA and BFA Curriculum." VCU Scholars Compass, 2008. http://scholarscompass.vcu.edu/etd/1554.

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This thesis is a picture of my journey as an educator. I taught at the University level from Fall 2001 – Summer 2006 before I became a graduate student at Virginia Commonwealth University in Theatre Pedagogy where I continued to teach until 2008. My education and real life experiences over the last seven plus years have contributed to my teaching methodology which is ever evolving. There were several trials and tribulations as I progressed as an educator and this is an exploration of my experience teaching in the BA and BFA curriculums.

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Mourão, Daniela Bastos. "Perfil de citocinas produzidas por macrófagos na presença de intimina e bundlina (BfpA) de Escherichia coli enteropatogênica." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/9/9136/tde-23082013-103356/.

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Escherichia coli enteropatogênica (EPEC) é um dos principais agentes etiológicos da diarreia infantil tanto em países desenvolvidos como em países em desenvolvimento. Esta bactéria possui dois fatores de virulência comprovadamente envolvidos na patogênese, intimina e bundle-forming pilus (BFP). Este patotipo está dividido em EPEC típica e EPEC atípica, ambos apresentam uma ilha de patogenicidade cromossomal denominada locus of enterocyte effacement (região LEE) onde está localizado o gene eae (E. coli attachment effacement), que codifica a intimina, uma proteína de membrana externa que medeia a adesão íntima da bactéria ao enterócito. Diferente da EPEC típica, as cepas de EPEC atípica não possuem o plasmídeo EAF (EPEC adherence factor) no qual encontra-se o operon bfp (bundle forming pilus) constituído por 14 genes incluindo bfpA o qual codifica a bundlina (BfpA), principal subunidade da fímbria Bfp, que possibilita a agregação bacteriana. Na infecção por EPEC ocorre grave disfunção da barreira epitelial, e uma das conseqüências é a inflamação. Na literatura, é bem descrito a interação entre as proteínas efetoras de EPEC com as células epiteliais e os processos iniciais da interação bactéria à célula hospedeira. Entretanto, poucos são os estudos que analisam a produção de citocinas em infecções por EPEC ou suas moléculas efetoras com relação a ativação de macrófagos, fundamentais para o controle do processo inflamatório e geração da resposta imune durante esta infecção. A análise das citocinas produzidas constitui uma parte importante da resposta imune e representa a tentativa do hospedeiro em lidar com um determinado microrganismo. Em função disto analisou-se o papel da intimina e do BfpA na capacidade de ativar a resposta inata mediada por macrófagos in vitro, onde avaliou-se a produção de citocinas pró-inflamatórias (TNF-α, IL-1, IL-6 e IL-12), citocina antiinflamatória (IL-10) e quimiocina (MCP-1). Os resultados demonstraram que as proteínas recombinantes intimina e BfpA são potentes ativadores de macrófagos, de forma dose dependente, produzindo TNF-α, IL-12 e IL-6, IL-10 e MCP-1, mas não IL-1β. Neste estudo não foi observado efeito sinérgico na produção de citocinas pró-inflamatórias ao associar intimina e BfpA, entretanto em dose mais elevada potenciou a produção de IL-10, um mediador antiinflamatório. O efeito imune obtido foi atribuído majoritariamente a estas proteínas uma vez que o tratamento destas com polimixina B não alterou a produção de TNF-α. Conclui-se que intimina e BfpA são potentes ativadores de macrófagos durante a resposta inata podendo colaborar para o controle do processo inflamatório durante a infecção por EPEC.
Enteropathogenic Escherichia coli (EPEC) is a common cause of childhood diarrhea in developed countries as well as developing countries. This bacterium has two proven virulence factors involved in pathogenesis, intimin and bundle-forming pilus (BFP). This pathotype EPEC is divided into typical and atypical EPEC, both having a chromosomal pathogenicity island called locus of enterocyte effacernent (LEE region) which contains the gene eae (E. coli attachment effacement). eae encodes intimin, an outer membrane protein that mediates the intimate adherence of bacteria to the enterocyte. Unlike typical EPEC, atypical EPEC strains do not possess the plasmid EAF (EPEC adherence factor) which is in the operon bfp (bundle forming pilus) consisting of 14 genes including bfpA, which encodes bundlin (BfpA), the main subunit of BFP allowing bacterial aggregation. EPEC infection occurs in severe dysfunction of the epithelial barrier, and one consequence is inflammation. In the literature, the interaction between effector proteins of EPEC and epithelial cells and the initial processes of bacterial interaction with the host cell are well described. However, there are few studies that have examined cytokine production in EPEC infections or their effector molecules with respect to macrophage activation, essential for controlling inflammation and immune response during this infection. The production of cytokines is an important part of the immune response and represents the host\'s attempt to deal with a particular microorganism. Therefore, we examined in vitro the role of intimin and BfpA in the ability to activate the innate response mediated by macrophages, where we analyzed the production of the proinflammatory cytokines TNF-α, IL-1, IL-6 and IL-12, and the antiinflammatory cytokine IL-10 and chemokine MCP-1. The results show that recombinant intimin and BfpA are potent activators of macrophages in a dose-dependent manner, where the stimulated cells produce TNF-α, IL-12 and IL-6, IL-10 and MCP-1, but not IL-1β. In this study, no synergistic effect was observed in the production of proinflammatory cytokines by combining BfpA and intimin, although production of IL-10, an antiinflammatory mediator, was potentiated at a higher dose. The effect obtained was largely attributed to these proteins, as the treatment of proteins with polymyxin B did not alter the production of TNF-α. We conclude that intimin and BfpA are potent activators of macrophages during the innate response and may contribute to the control of inflammation during infection with EPEC.

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von, Walden Karl-Fredrik. "BFA Essay : The human and the machine." Thesis, Konstfack, Institutionen för Konst (K), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:konstfack:diva-6073.

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Ingram, Jacob. "No Place Like It - A BFA Exhibition." Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/honors/42.

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Bachelor of Fine Arts Exhibition, No Place Like It, held at Tipton Street Gallery, 126 Spring Street, Downtown Johnson City, TN, from April 2nd to April 6th. The show exhibit consists largely of drawings mostly done in graphite or charcoal, an installation piece, a quilt and found objects completed between the summer of 2010 and spring of 2012. The work uses family photos and Jackalopes to show the relationship to the artist as well as ideas about family, isolation, and identity.

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7

Legrand, Frédéric. "Synthèses totales de deux analogues de la Bréfeldine A : la 15-nor-Me-BFA et la 4-epi-15-nor-Me-BFA." Nantes, 2008. http://www.theses.fr/2008NANT2041.

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La bréfeldine A (BFA) est une lactone macrocyclique isolée en 1958 d’un champignon phytopathogène Penicillium decumbens . Elle possède de nombreuses propriétés biologiques. Elle inhibe en particulier le transport des protéines du réticulum endoplasmique vers l’appareil de Golgi selon un mécanisme d’action original (inhibition interfaciale par reconnaissance d’une protéine G et de son effecteur) qui pourrait ouvrir une nouvelle voie de recherche pour la conception de médicaments. La synthèse de nouveaux analogues structuraux de la BFA qui conserveraient la même activité que la molécule naturelle, en étant moins toxiques, a dès lors été envisagée. Ce mémoire décrit les synthèses totales de la 15-nor-Me-BFA et de son épimère en C4, la 4-épi-15-nor-Me-BFA, selon une stratégie développée précédemment au laboratoire pour la synthèse de la BFC (bioprécurseur de la BFA). Ces deux analogues ont été préparés chacun en 24 étapes avec un rendement global de 2,9 %. Les résultats des tests biochimiques réalisés sur la BFA et les deux analogues nous ont permis de mieux comprendre le mécanisme d’inhibition interfaciale caractéristique de ces macrolactones bicycliques
Brefeldin A (BFA) is a macrocyclic lactone first isolated from Penicillium decumbens in 1958. Early studies showed that BFA exhibits a wide range of biological activities including the inhibition of proteins transport from the endoplasmic reticulum to the Golgi apparatus. BFA acts in a specific and unusual manner following an interfacial inhibition process (BFA recognizes both a small G protein and its protein effector) that could inspired new conceptions for drug design. The utility of BFA is hampered however by its toxicity so that the synthesis of active, but less toxic, analogues, is highly desirable. We report herein on the total synthesis of 15-nor-Me-BFA along with its C4 epimer (4-epi-15-nor-Me-BFA) following a strategy that was previously developed in our laboratory for the synthesis of BFC, the non-hydroxylated analogue of BFA at carbon C7. These two analogues have been prepared in 24 steps in a 2. 9 % overall yield. The results of biochemical tests, realized on both BFA and its synthetic analogues, have allowed us to better understand the mode of action of these bicyclic macrolactones

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Chemburkar, Kirti. "Performance of BFSA Based Anti-Collision Protocols for RFID Networks Supporting Identical Tags." UNF Digital Commons, 2011. http://digitalcommons.unf.edu/etd/124.

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Radio Frequency Identification (RFID) is a powerful emerging technology widely used for asset tracking, supply chain management, animal identification, military applications, payment systems, and access control. Over the years, RFID has emerged as a popular technology in various industries because of its ability to track moving objects. As RFID is becoming less expensive and more robust, many companies and vendors are developing tags to track objects. Multiple vendors manufacture RFID tags worldwide. Therefore, it is quite possible that they manufacture tags with the same identification code (ID) as vendor ID code data sets may not be synchronized or may be subject to tag id errors. Due to this drawback, there is the possibility that non-unique tags exist along with unique tags in the same RFID system. As existing implementations optimize the performance of RFID systems performance based on the assumption of unique tags, it is important to study the effect of non-unique tags on RFID systems. This thesis focuses on a formal analysis of the Basic Frame Slotted ALOHA (BFSA) Muting RFID system with non-unique tags. An RFID network was modeled with OPNET Modeler 14.5. An evaluation model was built to measure the total census delay, optimal frame size, and network throughput for an RFID network based on a BFSA protocol for non-unique tags and support for muting. The evaluation results are in agreement with results obtained from the evaluation of a similar model for unique tags [Kang08]. Comparing total census delay for unique and non-unique tags for variable frame sizes showed an increase in total census delay with an increase in the number of tags. Comparing minimum network throughput, mean network throughput, and maximum network throughput for unique and non-unique tags for variable frame sizes showed a decrease in network throughput with an increase in the number of tags.

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Mazzucato, Nicolo' <1992&gt. "PSO and BFO: two alternative metaheuristics for portfolio optimization problem." Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/14538.

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As part of Modern Portfolio Theory, Portfolio management is a subject introduced by Markowitz back in 1950s. In Chapter 1 of this paper, we describe the Mean- Variance portfolio selection model proposed by Markowitz. Since its introduction, this model has been considered as the standard model. Although it has many advantages, with the years passing and the increased complexity of the markets, the model showed all its limits. The main drawbacks arises from the unrealistic assumptions at the base of the model. In other words, the assumptions are not able to present the real world and the risk measure used. Therefore, there was the need of a new class of risk measures, coherent risk measure, suitable for financial portfolios. The coherent measure of risk that belongs to this class chosen for this paper is the two-sided risk measure introduced by Chen and Wang in 2008. Chapter 2 describes the metaheuristics and in particular focuses on those chosen for this paper. Metaheuristic can be describe as trial and error optimization techniques able to find high level solutions to complex problems. Those high-level solutions, although high quality solutions, are not the optimal ones. However, metaheuristics find good solutions in a reasonable amount of time. In this paper we decided to choose bio-inspired metaheuristics, in particular Particle Swarm Optimization and Bacterial Foraging Optimization. In Chapter 3 we presented an alternative model to the one introduced by Markowitz, that is the realistic portfolio proposed by Corazza, Fasano and Gusso. This strategy allows to make the analysis more realistic by overcoming the limits of the model described in Chapter 2. However, in order to effectively solve the NP-hard problem that arises from the use of the two-sided risk measure combined with the realistic portfolio chosen, we applied an exact penalty method, which allows to transform the constrained problem into an unconstrained one. Finally, in Chapter 4, we applied PSO and BFO to solve the portfolio selection problem presented in the previous chapter. For this application, the data used are the daily closing prices of DAX 30 index from March 2014 to November 2018. The periods considered are eight, and each one consists of 8 in-sample months and 3 out-of-sample. In addition, we also analyzed the respect of the monotonicity property of the risk measure. Lastly, we carried out a comparison between the given respectively between PSO and BFO.

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Bhogal, Varun. "Analysis of BFSA Based Anti-Collision Protocol in LF, HF, and UHF RFID Environments." UNF Digital Commons, 2014. http://digitalcommons.unf.edu/etd/511.

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Over the years, RFID (radio frequency identification) technology has gained popularity in a number of applications. The decreased cost of hardware components along with the recognition and implementation of international RFID standards have led to the rise of this technology. One of the major factors associated with the implementation of RFID infrastructure is the cost of tags. Low frequency (LF) RFID tags are widely used because they are the least expensive. The drawbacks of LF RFID tags include low data rate and low range. Most studies that have been carried out focus on one frequency band only. This thesis presents an analysis of RFID tags across low frequency (LF), high frequency (HF), and ultra-high frequency (UHF) environments. Analysis was carried out using a simulation model created using OPNET Modeler 17. The simulation model is based on the Basic Frame Slotted ALOHA (BFSA) protocol for non-unique tags. As this is a theoretical study, environmental disturbances have been assumed to be null. The total census delay and the network throughput have been measure for tags ranging from 0 to 1500 for each environment. A statistical analysis has been conducted in order to compare the results obtained for the three different sets.

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Books on the topic "BFOA"

1

France) BFCA '05 (2005 Rouen. BFCA '05: Boolean functions : cryptography and applications. [Mont-Saint-Aignan]: Publications des universités de Rouen et du Havre, 2005.

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2

Phoenix/BFA Films & Video., ed. Phoenix films & video. New York, N.Y. (468 Park Ave., S., New York 10016): Phoenix Films, 1987.

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Adam, Antonis. Trade-liberalization strategies: What could Southeastern Europe learn from the CEFTA and BFTA? Washington, D.C: International Monetary Fund, European Department, 2003.

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Fa lü yu Zhongguo: Bfa xue li lun qian yan lun ta. Beijing: Zhongguo zheng fa da xue chu ban she, 2005.

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Group, First Nations Working, and Northern Institute of the Arts Planning Corporation., eds. Research and analysis: First Nations BFA program & related support services : final report. [s.l: s.n.]., 1996.

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Kokuritsu Kokkai Toshokan shozō Meijiki kankō tosho maikuro-ban shūsei: Heiji : Heiji, Kokubō, BFA. Tōkyō: Maruzen, 1991.

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7

Rehabilitations-Forum, der BfA (1993 Berlin Germany). Rehabilitation 1993: Vorträge zum Rehabilitations-Forum der BfA vom 29. bis 30. April 1993 in Berlin. Berlin: Die Bundesversicherungsanstalt, Dezernat für Presse- und Öffentlichkeitsarbeit, 1994.

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8

Rehabilitations-Forum der BfA (1992 Berlin, Germany). Rehabilitation 1992: Vorträge zum Rehabilitations-Forum der BfA vom 30. bis 31. März 1992 in Berlin. Berlin: Bundesversicherungsanstalt für Angestellte, Dezernat für Presse- und Öffentlichkeitsarbeit, 1992.

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9

Omoera, Osakue S. Theatre, media, and cultural re-engineering in Nigeria: An ovation of excellence to Barclays Foubiri Ayakoroma (BFA). Ibadan: Kraft Books Limited, 2017.

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10

Hausmann, Günter. Schwerbehindertenrecht: ("Anhaltspunkte" für die ärztliche Gutachtertätigkeit, 2. Auflage) : Erwerbsminderungsrenten in der gesetzlichen Rentenversicherung, Berufgruppenkatalog der BFA : Pflegestufen in der gesertzlichen Pflegeversicherung, Richtlinien der Spitzenverbände der Pflegekassen : Kommentar. Mönchengladbach: Sozialmedizinischer Verlag, 2002.

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Book chapters on the topic "BFOA"

1

Jagadeesh Kumar, M., S. S. Dash, C. Subramani, M. Arun Bhaskar, and R. G. Akila. "Transient Stability Enhancement of a Multi-Machine System Using BFOA." In Advances in Intelligent Systems and Computing, 31–44. New Delhi: Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1768-8_3.

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Mohapatra, Sangram Keshori, M. Madhumita Pal, and Duriya Murali. "Coordinated Design of STATCOM Based Power System Stabilizer Using BFOA." In Sixth International Conference on Intelligent Computing and Applications, 281–91. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1335-7_25.

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Sood, Anoop Kumar, R. K. Ohdar, and S. S. Mahapatra. "A Hybrid ANN-BFOA Approach for Optimization of FDM Process Parameters." In Swarm, Evolutionary, and Memetic Computing, 396–403. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17563-3_48.

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Zahra, Asma, Zain Ul Abideen, Anwaar Ur Rehmaan, Sidra Razzaq, Ayesha Anjum, and Nadeem Javaid. "Home Energy Management Using HSA, FA, BFOA Algorithms in Smart Grids." In Advances in Network-Based Information Systems, 257–69. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-65521-5_22.

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Anu, S., H. Nair, and P. Aruna. "Genetic Algorithm and BFOA-Based Iris and Palmprint Multimodal Biometric Digital Watermarking Models." In Bio-Inspired Computing for Image and Video Processing, 3–30. Boca Raton : CRC Press, [2017]: Chapman and Hall/CRC, 2018. http://dx.doi.org/10.1201/9781315153797-1.

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Naseem, Mudassar, Samia Abid, Rabia Khalid, Ghulam Hafeez, Sardar Mahboob Hussain, and Nadeem Javaid. "Towards Heuristic Algorithms: GA, WDO, BPSO, and BFOA for Home Energy Management in Smart Grid." In Advances on Broad-Band Wireless Computing, Communication and Applications, 267–78. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49106-6_25.

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Kumar, Rajeev, Rajveer Singh, and Haroon Ashfaq. "A Nature-Inspired Metaheuristic Swarm Based Optimization Technique BFOA Based Optimal Controller for Damping of SSR." In Intelligent Computing Techniques for Smart Energy Systems, 631–39. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0214-9_66.

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Bhavani, M., K. Selvi, and L. Sindhumathi. "Neuro Fuzzy Load Frequency Control in a Competitive Electricity Market Using BFOA Tuned SMES and TCPS." In Swarm, Evolutionary, and Memetic Computing, 373–85. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20294-5_33.

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Suri Babu, Y., and K. Chandra Sekhar. "Battery Assisted, PSO-BFOA based Single Stage PV Inverter fed Five Phase Induction Motor Drive for Green Boat Applications." In Intelligent Systems, Technologies and Applications, 227–40. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6095-4_17.

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Engels, Marc. "The Need for BFWA." In Broadband Fixed Wireless Access, 1–16. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/978-0-387-34593-2_1.

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Conference papers on the topic "BFOA"

1

Rad, H. Kiani, and Z. Moravej. "Substation expansion planning based on BFOA." In 2015 30th International Power System Conference (PSC). IEEE, 2015. http://dx.doi.org/10.1109/ipsc.2015.7827758.

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Gupta, Sapna, and Rajeev Gupta. "Controller parameter optimization using hybrid BFOA-PSO algorithm." In 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES). IEEE, 2016. http://dx.doi.org/10.1109/icpeices.2016.7853331.

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3

Ali, E. S., and S. M. Abd-Elazim. "Hybrid BFOA-PSO approach for SSSC damping controller design." In 2013 International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2013. http://dx.doi.org/10.1109/codit.2013.6689589.

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Sanyal, Nandita, Amitava Chatterjee, and Sugata Munshi. "BFOA with varying population based feature selection and optimization in palm print authentication — A comparative study." In 2017 IEEE Calcutta Conference (CALCON). IEEE, 2017. http://dx.doi.org/10.1109/calcon.2017.8280731.

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Sanyal, Nandita, Amitava Chatterjee, and Sugata Munshi. "A novel palmprint authetication system by XWT based feature extraction and BFOA based feature selection and optimization." In 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS). IEEE, 2015. http://dx.doi.org/10.1109/retis.2015.7232922.

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Jiang, Mingjun, Mingyuan Ren, Yunbing Li, Sixing Chen, Xiao Su, Cong Tang, and Jing Peng. "Research on Location and Capacity Determination Method of DG in Rural Distribution Network Based on BFOA Algorithm." In 2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC). IEEE, 2023. http://dx.doi.org/10.1109/itnec56291.2023.10082168.

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7

Dupre, Ross. "Impact of BFJA Training on Bolted Flange Joint Assembly Reliability." In ASME 2019 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/pvp2019-93679.

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Abstract A bolted flange joint assembly is a complex mechanical device, according to ASME PCC-1. A complex mechanical device’s reliability depends on many activities being performed prior and during the assembly of the bolted flange joint assembly (BFJA) being assembled. Some of these activities being; required torque calculations; gasket material selection, fastener selection, type of flange, fastener condition, lubrication, and maybe the most important activity being the assembly of the bolted flange joint. How does one ensure the correct methods and best practices being used during the assembly of the bolted flange joint? Education. Educating not only the assemblers but also the engineers, supervisors, foreman, etc. By educating more than just the assemblers we can create a proper culture to ensure BFJA reliability. We can quantify increased BFJA reliability spurred from education by using surveys completed by the assemblers who have gone through the training.

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Eshghinejad, Ahmadreza, Wen-I. Liang, Qian Nataly Chen, Feiyue Ma, Ying-Hao Chu, and Jiangyu Li. "Probing Multiferroic Heterostructures of BiFeO3-LiMn2O4 Using Magnetic, Piezoelectric and Piezomagnetic Force Microscopies." In ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/smasis2014-7513.

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In this study magnetic force microscopy (MFM), piezoresponse force microscopy (PFM), and the newly developed piezomagnetic force microscopy (PmFM) techniques are used to probe the ferroelectric and ferromagnetic properties of BiFeO3-LiMn2O4 (BFO-LMO) heterostructures at nano-scale. The PmFM technique is also used to probe the ferromagnetic properties of CoFe2O4 (CFO) as a case study. The PFM and PmFM mappings of the BFO-LMO heterostructures clearly distinguish the BFO matrix and LMO nanopillars while the MFM mapping is ambiguous. The relatively high piezomagnetic response of BFO matrix is believed to be due to the Mn doping while the piezoelectric-like response of LMO nanopillars is due to the ionic activities and the vertical geometry of its heterostructure. Lastly, limitations of the PmFM technique are discussed.

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9

Heder, B., G. Szladek, and J. Bito. "Route diversity examination in BFWA systems." In 47th International Symposium ELMAR, 2005. IEEE, 2005. http://dx.doi.org/10.1109/elmar.2005.193712.

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10

Darling, M. Naomi, and Ray Mann. "Integrating Cultural Research into the Design Studio." In 2017 ACSA Annual Conference. ACSA Press, 2017. http://dx.doi.org/10.35483/acsa.amp.105.2.

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