Relevant bibliographies by topics / Complex drives

Academic literature on the topic 'Complex drives'

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Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Complex drives"

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Smith, Harvey W., Pierfrancesco Marra, and Christopher J. Marshall. "uPAR promotes formation of the p130Cas–Crk complex to activate Rac through DOCK180." Journal of Cell Biology 182, no. 4 (August 25, 2008): 777–90. http://dx.doi.org/10.1083/jcb.200712050.

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The urokinase-type plasminogen activator receptor (uPAR) drives tumor cell membrane protrusion and motility through activation of Rac; however, the pathway leading from uPAR to Rac activation has not been described. In this study we identify DOCK180 as the guanine nucleotide exchange factor acting downstream of uPAR. We show that uPAR cooperates with integrin complexes containing β3 integrin to drive formation of the p130Cas–CrkII signaling complex and activation of Rac, resulting in a Rac-driven elongated-mesenchymal morphology, cell motility, and invasion. Our findings identify a signaling pathway underlying the morphological changes and increased cell motility associated with uPAR expression.
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Singleton, A. B., and B. J. Traynor. "For complex disease genetics, collaboration drives progress." Science 347, no. 6229 (March 26, 2015): 1422–23. http://dx.doi.org/10.1126/science.aaa9838.

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Dey, Pranab Kumar. "Mine Winder Drives in Integrated Copper Complex." Journal of The Institution of Engineers (India): Series D 99, no. 1 (November 3, 2017): 147–55. http://dx.doi.org/10.1007/s40033-017-0150-3.

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McGraw, Marie C., and Elizabeth A. Barnes. "New Insights on Subseasonal Arctic–Midlatitude Causal Connections from a Regularized Regression Model." Journal of Climate 33, no. 1 (December 9, 2019): 213–28. http://dx.doi.org/10.1175/jcli-d-19-0142.1.

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ABSTRACT Arctic–midlatitude teleconnections are complex and multifaceted. By design, targeted modeling studies typically focus only on one direction of influence—usually, the midlatitude atmospheric response to a changing Arctic. The two-way, coupled feedbacks between the Arctic and the midlatitude circulation on submonthly time scales are explored using a regularized regression model formulated around Granger causality. The regularized regression model indicates that there are regions in which Arctic temperature drives a midlatitude circulation response, and regions in which the midlatitude circulation drives a response in the Arctic; however, these regions rarely overlap. In many regions, on submonthly time scales, the midlatitude circulation drives Arctic temperature variability, highlighting the important role the midlatitude circulation can play in impacting the Arctic. In particular, the regularized regression model results support recent work that indicates that the observed high pressure anomalies over Eurasia drive a significant response in the Arctic on submonthly time scales, rather than being driven by the Arctic.
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Suzdaltsev, V. E., and I. V. Fateev. "An Algorithm for Calculating of Complex Systems on the Bulk Hydraulic Transient Mode." Izvestiya MGTU MAMI 2, no. 1 (January 10, 2008): 106–14. http://dx.doi.org/10.17816/2074-0530-69611.

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The article is dedicated to the description of calculation algorithm for hydraulic drives of any configuration. The solution is received in the form of transient process of key parameters of drive: pressure, consumption, velocities, loads, etc. There are mentioned some differential equations for primary elements of hydrostatic drive system, the fundamentals for building of a computer program, which enable to modify it.
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Avlasko, P. V., and D. A. Antonenko. "Automated complex for research of electric drives control." Journal of Physics: Conference Series 1015 (May 2018): 032163. http://dx.doi.org/10.1088/1742-6596/1015/3/032163.

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Unverricht, James, Yusuke Yamani, and William J. Horrey. "Calibration in Older and Middle-aged Drivers: Relationship between Subjective and Objective Glance Performance at Complex Intersections." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1913–17. http://dx.doi.org/10.1177/1541931218621434.

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Older drivers are an at-risk population for automobile crashes, especially at intersections. Intersection maneuvers demand a series of motor and visual responses executed at specific proximities and timings during a turn. Previous research indicates that older drivers are more likely than middle-aged drivers to neglect anticipatory glances to areas where latent hazards could materialize at intersections. Calibration, which reflects the degree of agreement (or discordance) between a driver’s self-perception of their driving ability and their actual ability, might be a factor that drives the age-related differences in visual scanning at intersections. This study examined relationships between eye movement patterns while driving through intersection scenarios in a medium-fidelity simulator and their subjective performance scores for middle-aged and older drivers. The data indicated no difference in calibration scores between older and middle-aged drivers. However, data showed that older drivers with higher subjective performance executed fewer secondary glances: this pattern was not present for middle aged drivers. Further research is necessary to identify psychological mechanisms involving driver calibration that control the age-related declines in anticipatory glance behavior at intersections.
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Brossard, Dominique, Pam Belluck, Fred Gould, and Christopher D. Wirz. "Promises and perils of gene drives: Navigating the communication of complex, post-normal science." Proceedings of the National Academy of Sciences 116, no. 16 (January 14, 2019): 7692–97. http://dx.doi.org/10.1073/pnas.1805874115.

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In November of 2017, an interdisciplinary panel discussed the complexities of gene drive applications as part of the third Sackler Colloquium on “The Science of Science Communication.” The panel brought together a social scientist, life scientist, and journalist to discuss the issue from each of their unique perspectives. This paper builds on the ideas and conversations from the session to provide a more nuanced discussion about the context surrounding responsible communication and decision-making for cases of post-normal science. Deciding to use gene drives to control and suppress pests will involve more than a technical assessment of the risks involved, and responsible decision-making regarding their use will require concerted efforts from multiple actors. We provide a review of gene drives and their potential applications, as well as the role of journalists in communicating the extent of uncertainties around specific projects. We also discuss the roles of public opinion and online environments in public engagement with scientific processes. We conclude with specific recommendations about how to address current challenges and foster more effective communication and decision-making for complex, post-normal issues, such as gene drives.
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Mikhov, Mikho, and Marin Zhilevski. "Study and Performance Improvement of the Drive Systems for a Class of Machine Tools." MATEC Web of Conferences 299 (2019): 05003. http://dx.doi.org/10.1051/matecconf/201929905003.

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This paper deals with some problems in the modernization of a type of machine tools with multi–coordinate drive systems. The basic requirements to the drives of each coordinate axis and the spindle are presented. Using the analysis carried out, a practical approach to appropriate selection of the respective drives is applied. The methodology offered is illustrated with some examples for choice of drives with direct current and alternating current motors. Some experimental research of cases with different feed and spindle drives are described and discussed. Better capabilities of the modernized machines for processing more complex workpieces are achieved, at a relatively low price. This research and the obtained results can be used in the design and tuning of electric drives for the considered type of machines with numerical program control.
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Pavlenko, A. V., V. P. Grinchenkov, A. A. Gummel, I. A. Pavlenko, and E. Kallenbakh. "Complex design of electromagnetic drives with prescribed dynamic performances." Russian Electrical Engineering 78, no. 4 (April 2007): 190–97. http://dx.doi.org/10.3103/s1068371207040050.

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Dissertations / Theses on the topic "Complex drives"

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Fernandez, Fournier Philippe. "Complex spider webs as habitat patches : environmental filtering drives species composition." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/58947.

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Metacommunity theory has advanced understanding of mechanisms shaping community structure. Four main models (neutral, patch-dynamics, species-sorting, and mass-effects) have been recognized to explain these mechanisms, differing in their assumptions about the effects of environmental filtering and species traits on community composition. Here, I focus on complex, three-dimensional spider webs of two social and two solitary species as habitat patches for associated arthropods in a tropical rainforest in Ecuador. I used variance partitioning and various analyses of metacommunity structure to study the role of environmental filtering and dispersal in this system. I found that local patch characteristics, such as patch size and host species, predominantly affected local community composition. Webs of social spider species had higher richness, more variable communities, and proportionally more aggressive (i.e. predatory) web associates. Behavioral characteristics of the host spiders, such as sociality and aggressiveness, seemed to play an important role, as well, in shaping community composition on these patches. In a colonization experiment, there was indication of high dispersal rates at a short temporal scale and some evidence of species dominance at a longer temporal scale. I conclude that environmental filtering is responsible for the patterns of species distribution and that, given the conjunctive high dispersal and species specialization, the metacommunity patterns in this system seem to best be explained by a combination of the species sorting and mass effects models.
Science, Faculty of
Zoology, Department of
Graduate
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Unicomb, Samuel Lee. "Threshold driven contagion on complex networks." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEN003.

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Les interactions entre les composants des systèmes complexes font émerger différents types de réseaux. Ces réseaux peuvent jouer le rôle d’un substrat pour des processus dynamiques tels que la diffusion d’informations ou de maladies dans des populations. Les structures de ces réseaux déterminent l’évolution d’un processus dynamique, en particulier son régime transitoire, mais aussi les caractéristiques du régime permanent. Les systèmes complexes réels manifestent des interactions hétérogènes en type et en intensité. Ces systèmes sont représentés comme des réseaux pondérés à plusieurs couches. Dans cette thèse, nous développons une équation maîtresse afin d’intégrer ces hétérogénéités et d’étudier leurs effets sur les processus de diffusion. À l’aide de simulations mettant en jeu des réseaux réels et générés, nous montrons que les dynamiques de diffusion sont liées de manière non triviale à l’hétérogénéité de ces réseaux, en particulier la vitesse de propagation d’une contagion basée sur un effet de seuil. De plus, nous montrons que certaines classes de réseaux sont soumises à des transitions de phase réentrantes fonctions de la taille des “global cascades”. La tendance des réseaux réels à évoluer dans le temps rend difficile la modélisation des processus de diffusion. Nous montrons enfin que la durée de diffusion d’un processus de contagion basé sur un effet de seuil change de manière non-monotone du fait de la présence de “rafales” dans les motifs d’interactions. L’ensemble de ces résultats mettent en lumière les effets de l’hétérogénéité des réseaux vis-à-vis des processus dynamiques y évoluant
Networks arise frequently in the study of complex systems, since interactions among the components of such systems are critical. Net- works can act as a substrate for dynamical process, such as the diffusion of information or disease throughout populations. Network structure can determine the temporal evolution of a dynamical process, including the characteristics of the steady state. The simplest representation of a complex system is an undirected, unweighted, single layer graph. In contrast, real systems exhibit heterogeneity of interaction strength and type. Such systems are frequently represented as weighted multiplex networks, and in this work we in- corporate these heterogeneities into a master equation formalism in order to study their effects on spreading processes. We also carry out simulations on synthetic and empirical networks, and show that spread- ing dynamics, in particular the speed at which contagion spreads via threshold mechanisms, depend non-trivially on these heterogeneities. Further, we show that an important family of networks undergo reentrant phase transitions in the size and frequency of global cascades as a result of these interactions. A challenging feature of real systems is their tendency to evolve over time, since the changing structure of the underlying network is critical to the behaviour of overlying dynamical processes. We show that one aspect of temporality, the observed “burstiness” in interaction patterns, leads to non-monotic changes in the spreading time of threshold driven contagion processes. The above results shed light on the effects of various network heterogeneities, with respect to dynamical processes that evolve on these networks
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Wu, Xiaolei. "COORDINATION-DRIVEN SELF-ASSEMBLY OF TERPYRIDINE-BASED SUPRAMOLECULES." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1490372164176458.

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Lee, Donald Kwun Kuen. "Data-driven models for complex medical systems /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Sage, Aled. "Observation-driven configuration of complex software systems." Thesis, University of St Andrews, 2004. http://hdl.handle.net/10023/6479.

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The ever-increasing complexity of software systems makes them hard to comprehend, predict and tune due to emergent properties and non-deterministic behaviour. Complexity arises from the size of software systems and the wide variety of possible operating environments: the increasing choice of platforms and communication policies leads to ever more complex performance characteristics. In addition, software systems exhibit different behaviour under different workloads. Many software systems are designed to be configurable so that policies (e.g. communication, concurrency and recovery strategies) can be chosen to meet the needs of various stakeholders. For complex software systems it can be difficult to accurately predict the effects of a change and to know which configuration is most appropriate. This thesis demonstrates that it is useful to run automated experiments that measure a selection of system configurations. Experiments can find configurations that meet the stakeholders' needs, find interesting behavioural characteristics, and help produce predictive models of the system's behaviour. The design and use of ACT (Automated Configuration Tool) for running such experiments is described, in combination a number of search strategies for deciding on the configurations to measure. Design Of Experiments (DOE) is discussed, with emphasis on Taguchi Methods. These statistical methods have been used extensively in manufacturing, but have not previously been used for configuring software systems. The novel contribution here is an industrial case study, applying the combination of ACT and Taguchi Methods to DC-Directory, a product from Data Connection Ltd (DCL). The case study investigated the applicability of Taguchi Methods for configuring complex software systems. Taguchi Methods were found to be useful for modelling and configuring DC-Directory, making them a valuable addition to the techniques available to system administrators and developers.
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Schoner, Bernd 1969. "Probabilistic characterization and synthesis of complex driven systems." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/62352.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2000.
Includes bibliographical references (leaves 194-204).
Real-world systems that have characteristic input-output patterns but don't provide access to their internal states are as numerous as they are difficult to model. This dissertation introduces a modeling language for estimating and emulating the behavior of such systems given time series data. As a benchmark test, a digital violin is designed from observing the performance of an instrument. Cluster-weighted modeling (CWM), a mixture density estimator around local models, is presented as a framework for function approximation and for the prediction and characterization of nonlinear time series. The general model architecture and estimation algorithm are presented and extended to system characterization tools such as estimator uncertainty, predictor uncertainty and the correlation dimension of the data set. Furthermore a real-time implementation, a Hidden-Markov architecture, and function approximation under constraints are derived within the framework. CWM is then applied in the context of different problems and data sets, leading to architectures such as cluster-weighted classification, cluster-weighted estimation, and cluster-weighted sampling. Each application relies on a specific data representation, specific pre and post-processing algorithms, and a specific hybrid of CWM. The third part of this thesis introduces data-driven modeling of acoustic instruments, a novel technique for audio synthesis. CWM is applied along with new sensor technology and various audio representations to estimate models of violin-family instruments. The approach is demonstrated by synthesizing highly accurate violin sounds given off-line input data as well as cello sounds given real-time input data from a cello player.
by Bernd Schoner.
Ph.D.
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Klus, Stefan [Verfasser]. "Data-driven analysis of complex dynamical systems / Stefan Klus." Berlin : Freie Universität Berlin, 2020. http://d-nb.info/1221599895/34.

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Abou, Jaoude Dany. "Computationally Driven Algorithms for Distributed Control of Complex Systems." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/85965.

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This dissertation studies the model reduction and distributed control problems for interconnected systems, i.e., systems that consist of multiple interacting agents/subsystems. The study of the analysis and synthesis problems for interconnected systems is motivated by the multiple applications that can benefit from the design and implementation of distributed controllers. These applications include automated highway systems and formation flight of unmanned aircraft systems. The systems of interest are modeled using arbitrary directed graphs, where the subsystems correspond to the nodes, and the interconnections between the subsystems are described using the directed edges. In addition to the states of the subsystems, the adopted frameworks also model the interconnections between the subsystems as spatial states. Each agent/subsystem is assumed to have its own actuating and sensing capabilities. These capabilities are leveraged in order to design a controller subsystem for each plant subsystem. In the distributed control paradigm, the controller subsystems interact over the same interconnection structure as the plant subsystems. The models assumed for the subsystems are linear time-varying or linear parameter-varying. Linear time-varying models are useful for describing nonlinear equations that are linearized about prespecified trajectories, and linear parameter-varying models allow for capturing the nonlinearities of the agents, while still being amenable to control using linear techniques. It is clear from the above description that the size of the model for an interconnected system increases with the number of subsystems and the complexity of the interconnection structure. This motivates the development of model reduction techniques to rigorously reduce the size of the given model. In particular, this dissertation presents structure-preserving techniques for model reduction, i.e., techniques that guarantee that the interpretation of each state is retained in the reduced order system. Namely, the sought reduced order system is an interconnected system formed by reduced order subsystems that are interconnected over the same interconnection structure as that of the full order system. Model reduction is important for reducing the computational complexity of the system analysis and control synthesis problems. In this dissertation, interior point methods are extensively used for solving the semidefinite programming problems that arise in analysis and synthesis.
Ph. D.
The work in this dissertation is motivated by the numerous applications in which multiple agents interact and cooperate to perform a coordinated task. Examples of such applications include automated highway systems and formation flight of unmanned aircraft systems. For instance, one can think of the hazardous conditions created by a fire in a building and the benefits of using multiple interacting multirotors to deal with this emergency situation and reduce the risks on humans. This dissertation develops mathematical tools for studying and dealing with these complex systems. Namely, it is shown how controllers can be designed to ensure that such systems perform in the desired way, and how the models that describe the systems of interest can be systematically simplified to facilitate performing the tasks of mathematical analysis and control design.
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Hong, Seong-Kwan. "Performance driven analog layout compiler." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/15037.

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Fu, Chao-ying. "Compiler-Driven Value Speculation Scheduling." NCSU, 2001. http://www.lib.ncsu.edu/theses/available/etd-20010508-151111.

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Modern microprocessors utilize several techniques for extracting instruction-level parallelism (ILP) to improve the performance. Current techniques employed in the microprocessor include register renaming to eliminate register anti- and output (false) dependences, branch prediction to overcome control dependences, and data disambiguation to resolve memory dependences. Techniques for value prediction and value speculation have been proposed to break register flow (true) dependences among operations, so that dependent operations can be speculatively executed without waiting for producer operations to finish. This thesis presents a new combined hardware and compiler synergy, value speculation scheduling (VSS), to exploit the predictability of operations to improve the performance of microprocessors. The VSS scheme can be applied to dynamically-scheduled machines and statically-scheduled machines. To improve the techniques for value speculation, a value speculation model is proposed as solving an optimal edge selection problem in a data dependence graph. Based on three properties observed from the optimal edge selection problem, an efficient algorithm is designed and serves as a new compilation phase of benefit analysis to know which dependences should be broken to obtain maximal benefits from value speculation. A pure software technique is also proposed, so that existing microprocessors can employ software-only value speculation scheduling (SVSS) without adding new value prediction hardware and modifying processor pipelines. Hardware-based value profiling is investigated to collect highly predictable operations at run-time for reducing the overhead of program profiling and eliminating the need of profile training inputs.

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Books on the topic "Complex drives"

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A, Lipo T., ed. Vector control and dynamics of AC drives. Oxford: Clarendon Press, 1996.

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Man of all passions: The conflicting drives and complex desires of a man of God. Colorado Springs, Colo: NavPress, 1995.

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Michael, Meyer. The Alexander complex: The dreams that drive the great businessmen. New York, N.Y: Times Books, 1989.

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Kicenski, Karyl. Cashing in on crime: The drive to privatize California state prisons. Boulder, Colorado: FirstForumPress, Inc., 2014.

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Khan, Ameer Hamza, Xinwei Cao, and Shuai Li. Management and Intelligent Decision-Making in Complex Systems: An Optimization-Driven Approach. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9392-5.

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Shang, Chao. Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6677-1.

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Kantin, Robert F. Quality selling through quality proposals: A no-nonsense guide to complex, customer-driven sales. Dallas, Tex: Minehan Quality Press, 1991.

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Parlakbilek, Ahmet N. Multiple strength and multiple delay techniques for compiled code event driven logic simulation. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1993.

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Society, Philippine Futuristics. The Philippines 2000/MTPDP: Implementing the newly industrializing country vision, strategy, and management : conference report , 08-09 July 1993, CRC Dizon Hall, CRC Building, Pearl Drive, Ortigas Complex, Pasig M.M. Pasig]: Philippine Futuristics Society, 1993.

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Aaron R. Kipnis Ph.D. The Midas Complex: How Money Drives Us Crazy and What We Can Do About It. Indigo Phoenix Books, 2013.

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Book chapters on the topic "Complex drives"

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Grouni, S., A. Aibeche, and H. Akroum. "Dynamic Flux Observation on Variable Parameters in Field Oriented Control for Induction Machine Drives." In Chaos and Complex Systems, 141–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33914-1_18.

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Lallouette, Jules, and Hugues Berry. "Topology Drives Calcium Wave Propagation in 3D Astrocyte Networks." In Proceedings of the European Conference on Complex Systems 2012, 453–63. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00395-5_56.

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Jaffe, Klaus. "Synergy Drives the Evolutionary Dynamics in Biology and Economics." In First Complex Systems Digital Campus World E-Conference 2015, 311–31. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-45901-1_34.

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Braslavsky, I. Ya, Z. Sh Ishmatov, I. A. Averbakh, and E. I. Barats. "Complex Automation of Pump Stations Based on Energy Saving Drives." In Energy Efficiency in Motor Driven Systems, 547–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55475-9_79.

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Khessib, Badriddine M., Kushagra Vaid, Sriram Sankar, and Chengliang Zhang. "Using Solid State Drives as a Mid-Tier Cache in Enterprise Database OLTP Applications." In Performance Evaluation, Measurement and Characterization of Complex Systems, 153–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18206-8_12.

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Samuels, Robert. "Drugging Discontent: Psychoanalysis, Drives, and the Governmental University Medical Pharmaceutical Complex (GUMP)." In Psychoanalyzing the Politics of the New Brain Sciences, 115–36. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71891-0_6.

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Taniuchi, Hiroshi, and Alice Fisher. "The expansion of core group interaction that drives protein folding: A hypothesis based on the cytochrome c fragment complex." In Peptides, 199–203. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-010-9066-7_58.

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Anderson, Edward G., and Nitin R. Joglekar. "Agility and Maneuver-Driven Competition." In Understanding Complex Systems, 73–86. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3131-2_5.

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Andreyev, Sergey. "Complex Objects." In User-Driven Applications for Research and Science, 147–86. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6488-1_3.

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Bond, Bruce. "Ego: Structure, Complex, Drive." In Plurality and the Poetics of Self, 43–53. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18718-7_4.

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Conference papers on the topic "Complex drives"

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Erdogan, Nuh, Humberto Henao, and Richard Grisel. "A proposed Technique for Simulating the Complete Electric Drive Systems with a Complex Kinematics Chain." In 2007 IEEE International Electric Machines & Drives Conference. IEEE, 2007. http://dx.doi.org/10.1109/iemdc.2007.383607.

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Yaguchi, H., and N. Sato. "A novel globular magnetic actuator for movement inside complex pipe." In Electric Drives Joint Symposium (ELECTROMOTION). IEEE, 2009. http://dx.doi.org/10.1109/electromotion.2009.5259099.

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Lovlin, Sergei, Madina Tsvetkova, Artur Abdullin, Michail Abramchuk, and Dmitry Lukichev. "Numerical Method of Optimization in Robust Control of Robotic and Mechatronic Complex Systems." In 2021 28th International Workshop on Electric Drives: Improving Reliability of Electric Drives (IWED). IEEE, 2021. http://dx.doi.org/10.1109/iwed52055.2021.9376338.

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Mamatov, Aleksandr, and Valentin Drozdov. "Cross-coupled synchronous control of telescopes complex." In 2016 IX International Conference on Power Drives Systems (ICPDS). IEEE, 2016. http://dx.doi.org/10.1109/icpds.2016.7756678.

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GROZDANOV, Dragomir, and Nikolay HINOV. "Numerical Design of Complex Chape Coils." In 2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA). IEEE, 2019. http://dx.doi.org/10.1109/elma.2019.8771642.

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Kandoussi, Zineb, Zakaria Boulghasoul, Abdelhadi Elbacha, and Abdelouahed Tajer. "Fuzzy sliding mode observer based sensorless Indirect FOC for IM drives." In 2015 Third World Conference on Complex Systems (WCCS). IEEE, 2015. http://dx.doi.org/10.1109/icocs.2015.7483246.

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Krutikov, V. S., O. V. Limantseva, and K. A. Likhoded. "Numerical Modelling of Hydraulic Drives as Complex Dynamic Systems." In 2019 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon). IEEE, 2019. http://dx.doi.org/10.1109/fareastcon.2019.8934806.

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Horga, Vasile, Marcel Ratoi, Mihai Albu, and Dorin Lucache. "Unified Complex Vector Current Controller for AC Machine Drives." In 2018 International Conference and Exposition on Electrical And Power Engineering (EPE). IEEE, 2018. http://dx.doi.org/10.1109/icepe.2018.8559643.

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Drankova, Alla, and Mykola Mukha. "Laboratory Complex for the Shipboard Variable Frequency Drives Researches." In 2020 IEEE Problems of Automated Electrodrive. Theory and Practice (PAEP). IEEE, 2020. http://dx.doi.org/10.1109/paep49887.2020.9240904.

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Chen, Feiyu, Zihang Chen, Zhaokai Li, Xiaoyan Huang, and Jian Zhang. "An Improved Complex Vector Decoupling Control for high-speed PMSM." In 2021 IEEE International Electric Machines & Drives Conference (IEMDC). IEEE, 2021. http://dx.doi.org/10.1109/iemdc47953.2021.9449489.

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Reports on the topic "Complex drives"

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Walthall, Rhonda. Unsettled Topics Concerning Adopting Blockchain Technology in Aerospace. SAE International, October 2020. http://dx.doi.org/10.4271/epr2020021.

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In the aerospace industry, competition is high and the need to ensure safety and security while managing costs is paramount. Furthermore, stakeholders—who gain the most by working together—do not necessarily trust each other. Now, mix that with changing enterprise technologies, management of historical records, and customized legacy systems. This issue touches all aspects of the aerospace industry, from frequent flyer miles to aircraft maintenance and drives tremendous inefficiency and cost. Technology that augments, rather than replaces, is needed to transform these complex systems into efficient, digital processes. Blockchain technology offers collaborative opportunities for solving some of the data problems that have long challenged the industry. This SAE EDGE™ Research Report by Rhonda D. Walthall examines how blockchain technology could impact the aerospace industry and addresses some of the unsettled concerns surrounding its implementation.
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Tran, Phouc X., D. W. Brenner, and C. T. White. Complex Route to Chaos in Velocity Driven Atoms. Fort Belvoir, VA: Defense Technical Information Center, November 1990. http://dx.doi.org/10.21236/ada230051.

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Hicks, Jacqueline. Drivers of Compliance with International Human Rights Treaties. Institute of Development Studies (IDS), August 2021. http://dx.doi.org/10.19088/k4d.2021.130.

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Are international human rights treaties associated with better rights performance? The appetite for a conclusive answer has driven a number of large scale quantitative studies that have broadly shown little or no effect, and sometimes even a backsliding. However, the headline conclusions belie much more complicated findings, and the research methods used are controversial. These issues undermine confidence in the findings. Comparative and individual case studies allow for more detailed information about how domestic human rights activists use international human rights laws in practice. They tend to be more positive about the effect of treaties, but they are not as systematic as the quantitative work. Some indirect measures of treaty effect show that the norms contained within them filter down into domestic constitutions, and that the process of human rights reporting at the UN may be useful if dialogue can be considered an a priori good. It is likely that states are driven to comply with human rights obligations through a combination of dynamic influences. Drivers of compliance with international law is a major, unresolved question in the research that is heavily influenced by the worldview of researchers. The two strongest findings are: Domestic context drives compliance. In particular: (1) The strength of domestic non-governmental organisations (NGOs), and links with international NGOs (INGOs), and (2) in partial and transitioning democracies where locals have a reason to use the treaties as tools to press their claims. External enforcement may help drive compliance when: (1) other states link human rights obligations in the treaties to preferential trade agreements, and (2) INGOs ‘name and shame’ human rights violations, possibly reducing inward investment flows from companies worried about their reputation. Scholars also identify intermediate effects of continued dialogue and norm socialisation from the UN’s human rights reporting processes. Interviews with diplomats involved in UN reporting say that the process is more effective when NGOs and individual governments are involved.
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Horwat, Waldemar. A Concurrent Smalltalk Compiler for the Message-Driven Processor. Fort Belvoir, VA: Defense Technical Information Center, May 1988. http://dx.doi.org/10.21236/ada202182.

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Boteva, Nikoleta, Nils-Kåre Birkeland, and Margarita Kambourova. Complete Nitrogen Cycle Driven by the Thermophilic Microbial Community of Rupi II Hot Spring. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, January 2021. http://dx.doi.org/10.7546/crabs.2021.01.08.

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Barg, Rivka, Erich Grotewold, and Yechiam Salts. Regulation of Tomato Fruit Development by Interacting MYB Proteins. United States Department of Agriculture, January 2012. http://dx.doi.org/10.32747/2012.7592647.bard.

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Background to the topic: Early tomato fruit development is executed via extensive cell divisions followed by cell expansion concomitantly with endoreduplication. The signals involved in activating the different modes of growth during fruit development are still inadequately understood. Addressing this developmental process, we identified SlFSM1 as a gene expressed specifically during the cell-division dependent stages of fruit development. SlFSM1 is the founder of a class of small plant specific proteins containing a divergent SANT/MYB domain (Barg et al 2005). Before initiating this project, we found that low ectopic over-expression (OEX) of SlFSM1 leads to a significant decrease in the final size of the cells in mature leaves and fruits, and the outer pericarp is substantially narrower, suggesting a role in determining cell size and shape. We also found the interacting partners of the Arabidopsis homologs of FSM1 (two, belonging to the same family), and cloned their tomato single homolog, which we named SlFSB1 (Fruit SANT/MYB–Binding1). SlFSB1 is a novel plant specific single MYB-like protein, which function was unknown. The present project aimed at elucidating the function and mode of action of these two single MYB proteins in regulating tomato fruit development. The specific objectives were: 1. Functional analysis of SlFSM1 and its interacting protein SlFSB1 in relation to fruit development. 2. Identification of the SlFSM1 and/or SlFSB1 cellular targets. The plan of work included: 1) Detailed phenotypic, histological and cellular analyses of plants ectopically expressing FSM1, and plants either ectopically over-expressing or silenced for FSB1. 2) Extensive SELEX analysis, which did not reveal any specific DNA target of SlFSM1 binding, hence the originally offered ChIP analysis was omitted. 3) Genome-wide transcriptional impact of gain- and loss- of SlFSM1 and SlFSB1 function by Affymetrix microarray analyses. This part is still in progress and therefore results are not reported, 4) Search for additional candidate partners of SlFSB1 revealed SlMYBI to be an alternative partner of FSB1, and 5) Study of the physical basis of the interaction between SlFSM1 and SlFSB1 and between FSB1 and MYBI. Major conclusions, solutions, achievements: We established that FSM1 negatively affects cell expansion, particularly of those cells with the highest potential to expand, such as the ones residing inner to the vascular bundles in the fruit pericarp. On the other hand, FSB1 which is expressed throughout fruit development acts as a positive regulator of cell expansion. It was also established that besides interacting with FSM1, FSB1 interacts also with the transcription factor MYBI, and that the formation of the FSB1-MYBI complex is competed by FSM1, which recognizes in FSB1 the same region as MYBI does. Based on these findings a model was developed explaining the role of this novel network of the three different MYB containing proteins FSM1/FSB1/MYBI in the control of tomato cell expansion, particularly during fruit development. In short, during early stages of fruit development (Phase II), the formation of the FSM1-FSB1 complex serves to restrict the expansion of the cells with the greatest expansion potential, those non-dividing cells residing in the inner mesocarp layers of the pericarp. Alternatively, during growth phase III, after transcription of FSM1 sharply declines, FSB1, possibly through complexing with the transcription factor MYBI serves as a positive regulator of the differential cell expansion which drives fruit enlargement during this phase. Additionally, a novel mechanism was revealed by which competing MYB-MYB interactions could participate in the control of gene expression. Implications, both scientific and agricultural: The demonstrated role of the FSM1/FSB1/MYBI complex in controlling differential cell growth in the developing tomato fruit highlights potential exploitations of these genes for improving fruit quality characteristics. Modulation of expression of these genes or their paralogs in other organs could serve to modify leaf and canopy architecture in various crops.
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Quak, Evert-jan. The Drivers of Acute Food Insecurity and the Risk of Famine. Institute of Development Studies (IDS), November 2021. http://dx.doi.org/10.19088/k4d.2021.132.

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This rapid review synthesises the literature from academic, policy, and knowledge institution sources on the drivers of acute food insecurity and famines with a focus on key FCDO-partner countries. This review builds further on evidence already collected in other K4D helpdesk reports. The main conclusion of this rapid review is that the drivers of acute food insecurity are complex, often involving multiple and interrelated factors. The drivers for chronical food insecurity and acute food insecurity cannot be separated entirely from each other, as the evidence shows that slow-onset determinants of food insecurity could play a critical role during an event (or multiple events) that could trigger a food emergency. The literature shows that the political economy (e.g. food system governance or preparedness of institutions to disasters) and socioeconomic dynamics (e.g. shaping demand and supply of food) have become more relevant factors in any analysis on the drivers of acute food insecurity, acute malnutrition, and famine. This coincides with a shift in the literature away from global drivers of food insecurity and malnutrition toward localised dynamics on the national and sub-national level. The analytical framework of Howe (2018) that captures this complexity distinguishes pressure, hold, and self-reinforcing dynamics as key dimensions that explain potential pathways for famine. These could be political-induced, natural-induced, economical-induced, or socially induced, but most often a combination. Based on this framework and supported by the evidence from the literature, this rapid review assesses conflicts and protracted crises; climate change and pressure on natural resources; social inequalities; and economic shocks and food prices, as the key drivers of acute food insecurity and famine. Importantly, from the literature it seems clear that acute food insecurity is the result of changing vulnerabilities that link with different coping mechanisms of households and communities.
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Pettit, Chris, and D. Wilson. A physics-informed neural network for sound propagation in the atmospheric boundary layer. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41034.

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We describe what we believe is the first effort to develop a physics-informed neural network (PINN) to predict sound propagation through the atmospheric boundary layer. PINN is a recent innovation in the application of deep learning to simulate physics. The motivation is to combine the strengths of data-driven models and physics models, thereby producing a regularized surrogate model using less data than a purely data-driven model. In a PINN, the data-driven loss function is augmented with penalty terms for deviations from the underlying physics, e.g., a governing equation or a boundary condition. Training data are obtained from Crank-Nicholson solutions of the parabolic equation with homogeneous ground impedance and Monin-Obukhov similarity theory for the effective sound speed in the moving atmosphere. Training data are random samples from an ensemble of solutions for combinations of parameters governing the impedance and the effective sound speed. PINN output is processed to produce realizations of transmission loss that look much like the Crank-Nicholson solutions. We describe the framework for implementing PINN for outdoor sound, and we outline practical matters related to network architecture, the size of the training set, the physics-informed loss function, and challenge of managing the spatial complexity of the complex pressure.
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Smalley, Rebecca, Emmanuel Sulle, Ngala Chome, Ana Duarte, and Euclides Gonçalves. Agricultural Investment Corridors in Africa: Does Smallholder and Women's Participation Count? Institute of Development Studies (IDS), August 2021. http://dx.doi.org/10.19088/apra.2021.021.

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Agricultural development corridors and clusters are highly complex projects that have been driven in Africa by agribusiness and mining corporations, host governments, international donors and development finance institutions. There is interest in whether these projects can support inclusive agribusiness. Evidence shows that involvement of small-scale economic actors in such initiatives is often impeded by a failure to grant them participation or a voice. We therefore investigated if and how recent corridors and clusters in Africa have been able to achieve the meaningful engagement of small-scale economic actors, with a focus on smallholders, including pastoralists, and the women among them.
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Samji, Salimah, and Mansi Kapoor. Funda Wande through the Lens of PDIA: Showcasing a Flexible and Iterative Learning Approach to Improving Educational Outcomes. Research on Improving Systems of Education (RISE), January 2022. http://dx.doi.org/10.35489/bsg-rise-ri_2022/036.

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Funda Wande has adopted a ‘learning by doing’ strategy that is similar to the Problem Driven Iterative Adaptation (PDIA) approach to solving complex problems. PDIA is a high-impact process of innovation that helps organisations develop the capability to solve complex problems while they are solving such problems. It is a step-by-step framework that helps break down problems into their root causes, identify entry points, search for possible solutions, take action, reflect upon what is learned, adapt, and then act again. Its dynamic process and tight feedback loops enable teams to find and fit solutions to the local context. This case provides a narrative of the Funda Wande story with boxes illustrating how PDIA principles and tools like problem construction, deconstruction, entry point analysis, iteration, and building authorisation would have been applied in practice. The sources of this case include a literature review of education in South Africa, related research documents, and conversations with staff at Funda Wande.
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