Relevant bibliographies by topics / Transition-State model

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

Academic literature on the topic 'Transition-State model'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Transition-State model"

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Chandra, Shalini, and Raees Ahmad Khan. "Availability state transition model." ACM SIGSOFT Software Engineering Notes 36, no. 3 (May 5, 2011): 1–3. http://dx.doi.org/10.1145/1968587.1968603.

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Moulopoulos, K. "Bound-state transition: an analytical model." Journal of Physics: Condensed Matter 12, no. 7 (February 3, 2000): 1285–96. http://dx.doi.org/10.1088/0953-8984/12/7/312.

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Sherrod, Michael J., and F. M. Menger. ""Transition-state modeling" does not always model transition states." Journal of the American Chemical Society 111, no. 7 (March 1989): 2611–13. http://dx.doi.org/10.1021/ja00189a040.

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Xiang, Hua, Peilin Jiang, Shuang Xiao, Fuji Ren, and Shingo Kuroiwa. "A Model of Mental State Transition Network." IEEJ Transactions on Electronics, Information and Systems 127, no. 3 (2007): 434–42. http://dx.doi.org/10.1541/ieejeiss.127.434.

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Shurki, Avital, and Sason Shaik. "The perfectly resonating state: a chemical model for the transition state." Journal of Molecular Structure: THEOCHEM 424, no. 1-2 (February 1998): 37–45. http://dx.doi.org/10.1016/s0166-1280(97)00223-6.

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Sinha, Abhijit, Svetlana Stolpner, Abir Mukherjee, and Simon Monckton. "A Precise State Transition Model for Aircraft Navigation." GEOMATICA 68, no. 4 (December 2014): 283–97. http://dx.doi.org/10.5623/cig2014-403.

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This article considers the problem of accurately modeling the kinematic state transition of an Unmanned Aerial Vehicle (UAV). The full 3D range of motion is accurately captured using compact equations for position update derived in this work. This derivation makes use of the independence of the rotation and translation components of a 3D rigid motion. The proposed motion model is transparent to the sensors used in the system; it is particularly useful in GPS-denied environments and can contribute to different aspects of robust navigation, such as accurate state estimation, sensor fault tolerance and sensor bias estimation. Experimental results comparing the performance of the proposed kinematic model with those typically used demonstrate its superiority.
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Chung, In-Sang. "Fault Tree Analysis based on State-Transition Model." Journal of the Korea Contents Association 11, no. 10 (October 28, 2011): 49–58. http://dx.doi.org/10.5392/jkca.2011.11.10.049.

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Tian, Z., and K. A. Hoo. "Transition control using a state-shared model approach." Computers & Chemical Engineering 27, no. 11 (November 2003): 1641–56. http://dx.doi.org/10.1016/s0098-1354(03)00131-5.

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Ramachandran, M. P. "Approximate State Transition Matrix and Secular Orbit Model." International Journal of Aerospace Engineering 2015 (2015): 1–6. http://dx.doi.org/10.1155/2015/475742.

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The state transition matrix (STM) is a part of the onboard orbit determination system. It is used to control the satellite’s orbital motion to a predefined reference orbit. Firstly in this paper a simple orbit model that captures the secular behavior of the orbital motion in the presence of all perturbation forces is derived. Next, an approximate STM to match the secular effects in the orbit due to oblate earth effect and later in the presence of all perturbation forces is derived. Numerical experiments are provided for illustration.
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Tanaka, T. "The state transition model of the substorm onset." Journal of Geophysical Research: Space Physics 105, A9 (September 1, 2000): 21081–96. http://dx.doi.org/10.1029/2000ja900061.

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Dissertations / Theses on the topic "Transition-State model"

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Klein, Jim, Dan Kulp, and Bob Rashkin. "State Modeling and Pass Automation in Spacecraft Control." International Foundation for Telemetering, 1996. http://hdl.handle.net/10150/611435.

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International Telemetering Conference Proceedings / October 28-31, 1996 / Town and Country Hotel and Convention Center, San Diego, California
The Integrated Monitoring and Control COTS System (IMACCS) was developed as a proof-of-concept to show that commercial off-the-shelf (COTS) products could be integrated to provide spacecraft ground support faster and cheaper than current practices. A key component of IMACCS is the Altair Mission Control System (AMCS), one of several commercial packages available for satellite command and control. It is distinguished from otherwise similar tools by its implementation of Finite State Modeling as part of its expert system capability. Using the Finite State Modeling and State Transition capabilities of the ALTAIR Mission Control System (AMCS), IMACCS was enhanced to provide automated monitoring, routine pass support, anomaly resolution, and emergency "lights on again" response. Orbit determination and production of typical flight dynamics products, such as acquisition times and vectors, have also been automated.
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Hassanzadeh, Mohammadtaghi. "A New State Transition Model for Forecasting-Aided State Estimation for the Grid of the Future." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/64407.

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The grid of the future will be more decentralized due to the significant increase in distributed generation, and microgrids. In addition, due to the proliferation of large-scale intermittent wind power, the randomness in power system state will increase to unprecedented levels. This dissertation proposes a new state transition model for power system forecasting-aided state estimation, which aims at capturing the increasing stochastic nature in the states of the grid of the future. The proposed state forecasting model is based on time-series modeling of filtered system states and it takes spatial correlation among the states into account. Once the states with high spatial correlation are identified, the time-series models are developed to capture the dependency of voltages and angles in time and among each other. The temporal correlation in power system states (i.e. voltage angles and magnitudes) is modeled by using autoregression, while the spatial correlation among the system states (i.e. voltage angles) is modeled using vector autoregression. Simulation results show significant improvement in power system state forecasting accuracy especially in presence of distributed generation and microgrids.
Ph. D.
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Johanson, Jamin K. "An Evaluation of State-and-Transition Model Development fo Ecological Sites in Northern Utah." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/920.

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Ecological sites and state-transition models (STMs) have become the preferred means of summarizing plant community dynamics on distinctive types of rangeland. Ecological sites classify rangeland types based on soil-geomorphic and climatic conditions capable of producing a known plant community, while a STM depicts the vegetation dynamics of an ecological site. STMs are usually based on expert opinion rather than site-specific data; however, if they are to gain credibility, STMs must accurately describe the processes that drive plant community dynamics. This study examined three ways of developing process-based STMs using three levels of commonly collected field data. We began by taking field inventories of three ecological sites already mapped in northwestern Utah: Loamy Bottom, Mountain Gravelly Loam, and Upland Loam. The Loamy Bottom site was ideal for developing a data-rich, process-based STM because 1) the site concepts were well-defined, 2) the site was easy to recognize, 3) potential states and transitions had already been hypothesized, and 4) the site was easily accessible. The Loamy Bottom study was designed to link plant community structural indicators to measurable indicators of ecological process. Principal components analysis and cluster analysis were used to classify 14 study plots into four distinct states. Simple linear regression showed relationships between perennial grass cover, perennial canopy gaps, and soil organic carbon. Analysis of variance (ANOVA) linked four general vegetation classes to soil stability measurements. The resulting STM describes the structure and function of four alternative states. The other two STMs, developed for the Mountain Gravelly Loam and Upland Loam ecological sites, used less-intensive data collection methods. Rangeland health assessments, used for the Upland Loam STM, are useful for refining initial ecological site and STM concepts, documenting states, hypothesizing transitions, and locating study locations for future research. Quantitative production and cover estimates, used for the Mountain Gravelly Loam STM, are useful for describing the structure of states, but structural indicators must be coupled with process measurements, as with the Loamy Bottom STM to understand the drivers of state change. A coordinated data collection effort is needed to produce STMs that accurately depict the plant community dynamics of ecological sites.
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Kim, Jung Eun. "Analysis of Sleep-Wake Transition Dynamics by Stochastic Mean Field Model and Metastable State." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406206931.

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Takahashi, Daisuke. "Theoretical investigation of the eco-evolutionary dynamics of food webs." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/189654.

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Göransson, (Asker) Christian. "First-Principles calculations of Core-Level shifts in random metallic alloys: The Transition State Approach." Thesis, Linköping University, Department of Physics, Chemistry and Biology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2581.

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The overall aim of this thesis is to compare different methods for calculation of Core-Level shifts in metallic alloys. The methods compared are the Initial State model, the Complete screening and the Transition state model. Core-level shifts can give information of chemical bonding and about the electronic structure in solids.

The basic theory used is the so-called Density-Functional-Theory, in conjunction with the Local-Density Approximation and the Coherent-Potential- Approximation. The metallic alloys used are Silver-Palladium, Copper-Palladium, Copper-Gold and Copper-Platinum, all inface-centered-cubic configuration.

The complete screening- and the transition-state model are found to be in better agreement with experimental results than those calculated with the initial state model. This is mainly due to the fact that the two former models includes final-state effects, whereas the last one do not. The screening parameters within the Coherent-Potential approximation are also investigated. It is found that the Screened-Impurity Model can extend the validity of the Coherent-Potential-Approximation and increase it's accuracy.

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Krometis, Justin. "Lane Preference in a Simple Traffic Model." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/42365.

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We examine the effect of lane preference on a quasi one-dimensional three-state driven lattice gas, consisting of holes and positive and negative particles, and periodic boundary conditions in the longitudinal direction. Particles move via particle-hole and, with a lesser rate, particle-particle exchanges; the species are driven in opposite directions along the lattice, each preferring one of the lanes with a given probability, p. The model can be interpreted as traffic flow on a two-lane beltway, with fast cars preferring the left lane and slow cars preferring the right, viewed in a comoving frame. In steady-sate, the system typically exhibits a macroscopic cluster containing a majority of the particles. At very high values of p, a first order transition takes the system to a spatially disordered state. Using Monte Carlo simulations to analyze the system, we find that the size of the cluster increases with lane preference. We also observe a region of negative response, where increasing the lane preference decreases the number of particles in their favored lane, against all expectations. In addition, simulations show an intriguing sequence of density profiles for the two species. We apply mean-field theory, continuity equations, and symmetries to derive relationships between observables to make a number of predictions verified by the Monte Carlo data.
Master of Science
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Xu, Liou. "A MARKOV TRANSITION MODEL TO DEMENTIA WITH DEATH AS A COMPETING EVENT." UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_diss/42.

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The research on multi-state Markov transition model is motivated by the nature of the longitudinal data from the Nun Study (Snowdon, 1997), and similar information on the BRAiNS cohort (Salazar, 2004). Our goal is to develop a flexible methodology for handling the categorical longitudinal responses and competing risks time-to-event that characterizes the features of the data for research on dementia. To do so, we treat the survival from death as a continuous variable rather than defining death as a competing absorbing state to dementia. We assume that within each subject the survival component and the Markov process are linked by a shared latent random effect, and moreover, these two pieces are conditionally independent given the random effect and their corresponding predictor variables. The problem of the dependence among observations made on the same subject (repeated measurements) is addressed by assuming a first order Markovian dependence structure. A closed-form expression for the individual and thus overall conditional marginal likelihood function is derived, which we can evaluate numerically to produce the maximum likelihood estimates for the unknown parameters. This method can be implemented using standard statistical software such as SAS Proc Nlmixed©. We present the results of simulation studies designed to show how the model’s ability to accurately estimate the parameters can be affected by the distributional form of the survival term. Then we focus on addressing the problem by accommodating the residual life time of the subject’s confounding in the nonhomogeneous chain. The convergence status of the chain is examined and the formulation of the absorption statistics is derived. We propose using the Delta method to estimate the variance terms for construction of confidence intervals. The results are illustrated with applications to the Nun Study data in details.
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Orguner, Umut. "Improved State Estimation For Jump Markov Linear Systems." Phd thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607895/index.pdf.

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This thesis presents a comprehensive example framework on how current multiple model state estimation algorithms for jump Markov linear systems can be improved. The possible improvements are categorized as: -Design of multiple model state estimation algorithms using new criteria. -Improvements obtained using existing multiple model state estimation algorithms. In the first category, risk-sensitive estimation is proposed for jump Markov linear systems. Two types of cost functions namely, the instantaneous and cumulative cost functions related with risk-sensitive estimation are examined and for each one, the corresponding multiple model estate estimation algorithm is derived. For the cumulative cost function, the derivation involves the reference probability method where one defines and uses a new probability measure under which the involved processes has independence properties. The performance of the proposed risk-sensitive filters are illustrated and compared with conventional algorithms using simulations. The thesis addresses the second category of improvements by proposing -Two new online transition probability estimation schemes for jump Markov linear systems. -A mixed multiple model state estimation scheme which combines desirable properties of two different multiple model state estimation methods. The two online transition probability estimators proposed use the recursive Kullback-Leibler (RKL) procedure and the maximum likelihood (ML) criteria to derive the corresponding identification schemes. When used in state estimation, these methods result in an average error decrease in the root mean square (RMS) state estimation errors, which is proved using simulation studies. The mixed multiple model estimation procedure which utilizes the analysis of the single Gaussian approximation of Gaussian mixtures in Bayesian filtering, combines IMM (Interacting Multiple Model) filter and GPB2 (2nd Order Generalized Pseudo Bayesian) filter efficiently. The resulting algorithm reaches the performance of GPB2 with less Kalman filters.
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Van, Dyke Christopher. "Changing States: Using State-and-Transition Models to Evaluate Channel Evolution Following Dam Removal Along the Clark Fork River, Montana." UKnowledge, 2015. http://uknowledge.uky.edu/geography_etds/31.

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Located just east of Missoula, Montana, Milltown Dam stood from 1908 to 2008 immediately downstream of the Clark Fork River’s confluence with the Blackfoot River. After the discovery of arsenic-contaminated groundwater in the nearby community of Milltown, as well as extensive deposits of contaminated sediment in the dam’s upstream reservoir, in 1981, the area was designated a Superfund site – along with much of the Upper Clark Fork Watershed. This motivated the eventual decision to remove the dam, perform environmental remediation, and reconstruct approximately five kilometers of the Clark Fork River and its floodplain. This study is part conceptual and part empirical. It describes a state-and-transition framework equipped to investigate channel evolution as well as the adjustment trajectories of other socio-biophysical landscapes. This framework is then applied to understand the post-restoration channel evolution of the Clark Fork River’s mainstem, secondary channels, and floodplain. Adopting a state-and-transition framework to conceptualize landscape evolution lets environmental managers more effectively anticipate river response under multiple disturbence scenarios and therefore use more improvisational and adaptive management techniques that do not attempt to guide the landscape toward a single and permanent end state. State-and-transition models can also be used to highlight the spatially explicit patterns of complex biophysical response. The state-and-transition models developed for the Clark Fork River demonstrate the possibility of multiple evolutionary trajectories. Neither the secondary channels nor the main channel have responded in a linear, monotonic fashion, and future responses will be contingent upon hydrogeomorphic and climatic variability and chance disturbances. The biogeomorphic adjustments observed so far suggest divergent evolutionary trajectories and that in some instances the long-term fates of the mainstem, floodplain, and secondary channels are inescapably enmeshed with one another.
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Books on the topic "Transition-State model"

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Packevich, Alla. Model of the settlement system of the future. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/997136.

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The textbook is devoted to the issues of understanding the laws in the evolution of human consciousness and the formation of a pyramid of human values. For this purpose, the study analyzes the periodization of spatial structures and attempts to reproduce the logic of the process of consciousness development. The place of man in the system of cosmic evolution, the understanding of the process of transition from passive and unconscious human participation in evolution to active and conscious are comprehended. Brief information about the principles of the formation of the structure of space and the organization of systems of populated places is presented. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is intended for students of all forms of education of educational institutions of secondary vocational and higher education in the field of training "Architecture" , as well as for all those interested in the problems of territorial development.
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1943-, Freeman Richard B., Topel Robert H, and Swedenborg Birgitta 1941-, eds. The welfare state in transition: Reforming the Swedish model. Chicago: University of Chicago Press, 1997.

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The Welfare State in Transition: Reforming the Swedish Model (National Bureau of Economic Research Conference Report). University Of Chicago Press, 1997.

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Tammen, Ronald L., Jacek Kugler, and Douglas Lemke. Foundations of Power Transition Theory. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228637.013.296.

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Power Transition theory is a dynamic and structural model for analyzing fundamental shifts in global power. The theory itself, while maintaining its core concepts, has metamorphosed over time by adding new dimensions and addressing new topics. It is both data based and qualitatively intuitive.As a probabilistic theory, it has proven useful in predicting the conditions that forecast both conflict and cooperation at the global, national, and subnational levels of analysis. As a foreign policy tool, it creates historical signposts pointing toward tectonic shifts in nation state and alliance power profiles.
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Henriksen, Niels Engholm, and Flemming Yssing Hansen. Bimolecular Reactions, Transition-State Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805014.003.0006.

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This chapter discusses an approximate approach—transition-state theory—to the calculation of rate constants for bimolecular reactions. A reaction coordinate is identified from a normal-mode coordinate analysis of the activated complex, that is, the supermolecule on the saddle-point of the potential energy surface. Motion along this coordinate is treated by classical mechanics and recrossings of the saddle point from the product to the reactant side are neglected, leading to the result of conventional transition-state theory expressed in terms of relevant partition functions. Various alternative derivations are presented. Corrections that incorporate quantum mechanical tunnelling along the reaction coordinate are described. Tunnelling through an Eckart barrier is discussed and the approximate Wigner tunnelling correction factor is derived in the limit of a small degree of tunnelling. It concludes with applications of transition-state theory to, for example, the F + H2 reaction, and comparisons with results based on quasi-classical mechanics as well as exact quantum mechanics.
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Niang, Amy. Postcolonial African State in Transition: Stateness and Modes of Sovereignty. Rowman & Littlefield Publishers, Incorporated, 2018.

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Niang, Amy. Postcolonial African State in Transition: Stateness and Modes of Sovereignty. Rowman & Littlefield Publishers, Incorporated, 2018.

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Miller-Davenport, Sarah. Gateway State. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691181233.001.0001.

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This book explores the development of Hawaiʻi as a model for liberal multiculturalism and a tool of American global power in the era of decolonization. The establishment of Hawaiʻi statehood in 1959 was a watershed moment, not only in the ways Americans defined their nation's role on the international stage but also in the ways they understood the problems of social difference at home. Hawaiʻi's remarkable transition from territory to state heralded the emergence of postwar multiculturalism, which was a response both to independence movements abroad and to the limits of civil rights in the United States. Once a racially problematic overseas colony, by the 1960s, Hawaiʻi had come to symbolize John F. Kennedy's New Frontier. This was a more inclusive idea of who counted as American at home and what areas of the world were considered to be within the U.S. sphere of influence. Statehood advocates argued that Hawaiʻi and its majority Asian population could serve as a bridge to Cold War Asia—and as a global showcase of American democracy and racial harmony. In the aftermath of statehood, business leaders and policymakers worked to institutionalize and sell this ideal by capitalizing on Hawaiʻi's diversity. Asian Americans in Hawaiʻi never lost a perceived connection to Asia. Instead, their ethnic difference became a marketable resource to help other Americans navigate a decolonizing world. As excitement over statehood dimmed, the utopian vision of Hawaiʻi fell apart, revealing how racial inequality and U.S. imperialism continued to shape the fiftieth state—and igniting a backlash against the islands' white-dominated institutions.
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M, Cave William, Himmelstrup Per, and Danske kulturinstitut, eds. The welfare society in transition: Problems and prospects of the welfare model. Copenhagen K: Danish Cultural Institute, 1994.

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Borsboom, Denny. Mental disorders, network models, and dynamical systems. Edited by Kenneth S. Kendler and Josef Parnas. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198796022.003.0011.

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Network approaches have been proposed as an alternative way of thinking about relations between symptoms of mental disorders. Unlike traditional psychometric approaches, network models view these associations as the result of direct interactions between symptoms. Disorders are defined as alternative stable states of a network due to increased connectivity between symptoms. This increased connectivity creates a pattern of reinforcement, so the system can get stuck in a state of prolonged activation. Mental health is defined as the stable state of a weakly connected network. Although symptomatology may be temporarily increased in a healthy network (e.g., due to adverse life events), as the influence of a shock wanes the network will spontaneously return to its healthy state. Strongly connected networks, however, may transition into disordered states upon similar external shocks, and may not naturally recover. Thus, the proposed definitions yield plausible conceptualizations of resilience and vulnerability.
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Book chapters on the topic "Transition-State model"

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Tanaka, T. "Two State Transition Model of the Magnetosphere." In Nonequilibrium Phenomena in Plasmas, 91–115. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3109-2_5.

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Estivill-Castro, Vladimir, and David A. Rosenblueth. "Model Checking of Transition-Labeled Finite-State Machines." In Communications in Computer and Information Science, 61–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27207-3_8.

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Heh, Jia-Sheng, Shein-Yun Cheng, and Nan-Chao Ma. "Nested State-Transition Graph Model of User Behaviors." In Intelligent Data Engineering and Automated Learning, 778–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45080-1_105.

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Årzen, Karl-Eric, Anders Wallén, and Thomas F. Petti. "Model-Based Diagnosis: State Transition Events and Constraint Equations." In Artificial Intelligence in Industrial Decision Making, Control and Automation, 507–23. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0305-3_16.

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Chandra, Shalini, and Raees Ahmad Khan. "Implementing Availability State Transition Model to Quantify Risk Factor." In Advances in Intelligent Systems and Computing, 937–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30111-7_91.

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Teng, Shaohua, Wei Zhang, Xiufen Fu, and Naiqi Wu. "Cooperative Intrusion Detection Model Based on State Transition Analysis." In Lecture Notes in Computer Science, 419–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92719-8_38.

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Miyagi, Kazune, Kotaro Oishi, Kosuke Uchiyama, Hirotake Ishii, and Hiroshi Shimoda. "Proposal of Intellectual Productivity Model Based on Work State Transition." In Engineering Psychology and Cognitive Ergonomics. Understanding Human Cognition, 335–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39360-0_37.

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Inui, Nobuo, and Yuuji Shinano. "Minimizing State Transition Model for Multiclassification by Mixed-Integer Programming." In Lecture Notes in Computer Science, 473–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11579427_48.

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Su, Kaile, Congxin Zhao, Guanfeng Lv, Han Lin, and Qingliang Chen. "Formal Analysis and Improvement of the State Transition Model for Intrusion Tolerant System." In Lecture Notes in Computer Science, 391–404. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11600930_39.

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Kilingaru, Kavyaganga, Zorica Nedic, Jeffrey Tweedale, and Steve Thatcher. "Smart Evaluation of Instrument Scan Pattern Using State Transition Model During Flight Simulator Training." In Smart Education and e-Learning 2017, 292–301. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59451-4_29.

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Conference papers on the topic "Transition-State model"

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Huang, Feihua, Yan Gao, Chunyun Fu, Amirali K. Gostar, Reza Hoseinnezhad, and Minghui Hu. "Vehicle State Estimation Based on Adaptive State Transition Model." In 2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI). IEEE, 2020. http://dx.doi.org/10.1109/cvci51460.2020.9338645.

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Lennartson, Bengt, Sajed Miremadi, Zhennan Fei, Mona Noori Hosseini, Martin Fabian, and Knut Akesson. "State-vector transition model applied to supervisory control." In 2012 IEEE 17th Conference on Emerging Technologies & Factory Automation (ETFA 2012). IEEE, 2012. http://dx.doi.org/10.1109/etfa.2012.6489680.

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Wu, Xian, and Wenbin Dai. "Data-Driven Behaviour Model Recovery Method for Finite-State Transition Model." In IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2020. http://dx.doi.org/10.1109/iecon43393.2020.9254371.

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Ribeiro Furtado de Mendonca, Matheus, Artur Ziviani, and Andre da Motta Salles Barreto. "Abstract State Transition Graphs for Model-Based Reinforcement Learning." In 2018 7th Brazilian Conference on Intelligent Systems (BRACIS). IEEE, 2018. http://dx.doi.org/10.1109/bracis.2018.00028.

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Yann Hietter, Jean-Marc Roussel, and Jean-Jacques Lesage. "Algebraic synthesis of transition conditions of a state model." In 2008 9th International Workshop on Discrete Event Systems. IEEE, 2008. http://dx.doi.org/10.1109/wodes.2008.4605943.

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Rusmerryani, M., M. T. Pakpahan, M. Nishimura, M. Takasu, K. Kawaguchi, H. Saito, and H. Nagao. "Transition state analysis of azurin via Go-like model." In 4TH INTERNATIONAL SYMPOSIUM ON SLOW DYNAMICS IN COMPLEX SYSTEMS: Keep Going Tohoku. American Institute of Physics, 2013. http://dx.doi.org/10.1063/1.4794651.

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Lee, C. Y., J. S. Wang, and R. C. T. Lee. "On the state transition graph of Hopfield net model." In 1990 IJCNN International Joint Conference on Neural Networks. IEEE, 1990. http://dx.doi.org/10.1109/ijcnn.1990.137671.

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Hassanzadeh, Mohammad, and Cansin Yaman Evrenosoglu. "A regression analysis based state transition model for power system dynamic state estimation." In 2011 North American Power Symposium (NAPS 2011). IEEE, 2011. http://dx.doi.org/10.1109/naps.2011.6024897.

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Xu, Yunwen, Yugeng Xi, and Dewei Li. "Stochastic traffic control based on regional state transition probability model." In 2016 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI). IEEE, 2016. http://dx.doi.org/10.1109/soli.2016.7551667.

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Cirakman, Ozgun, and Bilge Gunsel. "Online speaker emotion tracking with a dynamic state transition model." In 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, 2016. http://dx.doi.org/10.1109/icpr.2016.7899651.

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Reports on the topic "Transition-State model"

1

Wyndham, Amber, Emile Elias, Joel Brown, Michael Wilson, and Albert Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands of Southeastern Colorado’s Major Land Resource Area 69. USDA Southwest Climate Hub, July 2018. http://dx.doi.org/10.32747/2018.6947062.ch.

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Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability, resulting in decreased plant productivity and altering species composition, which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to social and ecological stability in the region. Reduced stocking rates, change in livestock breeds and/or grazing practices are general recommendations that could be implemented to cope with increased climatic stress. Ecological Sites and their associated state–and-transition models (STMs) are tools to help land managers implement and evaluate responses to disturbances. The projected change in climate will vary depending upon geographic location. Vulnerability assessments and adaptation strategies are needed at the local level to inform local management decisions and help ameliorate the effects of climate change on rangelands. The United States Department of Agriculture (USDA) Southwest Climate Hub and Natural Resources Conservation Service (NRCS) worked together to produce this drought vulnerability assessment at the Major Land Resource Area (MLRA) level, based on ecological sites and state-and-transition models that will help landowners and government agencies to identify and develop adaptation options for drought on rangelands. The assessment illustrates how site-specific information can be used to help minimize the effects of drought on rangelands and support informed decision-making for the selection of management adaptations within MLRA 69.
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2

Olsen, Laurie, Kathryn Lindholm-Leary, Magaly Lavadenz, Elvira Armas, and Franca Dell'Olio. Pursuing Regional Opportunities for Mentoring, Innovation, and Success for English Learners (PROMISE) Initiative: A Three-Year Pilot Study Research Monograph. PROMISE INITIATIVE, February 2010. http://dx.doi.org/10.15365/ceel.seal2010.

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The Pursuing Regional Opportunities for Mentoring, Innovation, and Success for English Learners (PROMISE) Initiative Research Monograph is comprised of four sub-studies that took place between 2006 and 2009 to examine the effectiveness of the PROMISE Initiative across six implementing counties. Beginning in 2002, the superintendents of the six Southern California County Offices of Education collaborated to examine the pattern of the alarmingly low academic performance of English learners (EL) across Los Angeles, Orange, San Bernardino, San Diego, Riverside, and Ventura. Together, these six counties serve over one million EL students, more than 66% of the total EL population in the state of California, and close to 20% of the EL population in the nation. Data were compiled for the six counties, research on effective programs for ELs was shared, and a common vision for the success of ELs began to emerge. Out of this effort, the PROMISE Initiative was created to uphold a critical vision that ensured that ELs achieved and sustained high levels of proficiency, high levels of academic achievement, sociocultural and multicultural competency, preparation for successful transition to higher education, successful preparation as a 21st century global citizen, and high levels of motivation, confidence, and self-assurance. This report is organized into six chapters: an introductory chapter, four chapters of related studies, and a summary chapter. The four studies were framed around four areas of inquiry: 1) What is the PROMISE model? 2) What does classroom implementation of the PROMISE model look like? 3) What leadership skills do principals at PROMISE schools need to lead transformative education for ELs? 4) What impact did PROMISE have on student learning and participation? Key findings indicate that the PROMISE Initiative: • resulted in positive change for ELs at all levels including achievement gains and narrowing of the gap between ELs and non-ELs • increased use of research-based classroom practices • refined and strengthened plans for ELs at the district-level, and • demonstrated potential to enable infrastructure, partnerships, and communities of practice within and across the six school districts involved. The final chapter of the report provides implications for school reform for improving EL outcomes including bolstering EL expertise in school reform efforts, implementing sustained and in-depth professional development, monitoring and supporting long-term reform efforts, and establishing partnerships and networks to develop, research and disseminate efforts.
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3

Olsen, Laurie, Kathryn Lindholm-Leary, Magaly Lavadenz, Elvira Armas, and Franca Dell'Olio. Pursuing Regional Opportunities for Mentoring, Innovation, and Success for English Learners (PROMISE) Initiative: A Three-Year Pilot Study Research Monograph. PROMISE INITIATIVE, February 2010. http://dx.doi.org/10.15365/ceel.promise2010.

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Abstract:
The Pursuing Regional Opportunities for Mentoring, Innovation, and Success for English Learners (PROMISE) Initiative Research Monograph is comprised of four sub-studies that took place between 2006 and 2009 to examine the effectiveness of the PROMISE Initiative across six implementing counties. Beginning in 2002, the superintendents of the six Southern California County Offices of Education collaborated to examine the pattern of the alarmingly low academic performance of English learners (EL) across Los Angeles, Orange, San Bernardino, San Diego, Riverside, and Ventura. Together, these six counties serve over one million EL students, more than 66% of the total EL population in the state of California, and close to 20% of the EL population in the nation. Data were compiled for the six counties, research on effective programs for ELs was shared, and a common vision for the success of ELs began to emerge. Out of this effort, the PROMISE Initiative was created to uphold a critical vision that ensured that ELs achieved and sustained high levels of proficiency, high levels of academic achievement, sociocultural and multicultural competency, preparation for successful transition to higher education, successful preparation as a 21st century global citizen, and high levels of motivation, confidence, and self-assurance. This report is organized into six chapters: an introductory chapter, four chapters of related studies, and a summary chapter. The four studies were framed around four areas of inquiry: 1) What is the PROMISE model? 2) What does classroom implementation of the PROMISE model look like? 3) What leadership skills do principals at PROMISE schools need to lead transformative education for ELs? 4) What impact did PROMISE have on student learning and participation? Key findings indicate that the PROMISE Initiative: • resulted in positive change for ELs at all levels including achievement gains and narrowing of the gap between ELs and non-ELs • increased use of research-based classroom practices • refined and strengthened plans for ELs at the district-level, and • demonstrated potential to enable infrastructure, partnerships, and communities of practice within and across the six school districts involved. The final chapter of the report provides implications for school reform for improving EL outcomes including bolstering EL expertise in school reform efforts, implementing sustained and in-depth professional development, monitoring and supporting long-term reform efforts, and establishing partnerships and networks to develop, research and disseminate efforts.
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4

Wyndham, Amber, Emile Elias, Joel R. Brown, Michael A. Wilson, and Albert Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands in Southeast Arizona and Southwest New Mexico’s Major Land Resource Area 41. United States. Department of Agriculture. Southwest Climate Hub, August 2018. http://dx.doi.org/10.32747/2018.6818230.ch.

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Abstract:
Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability, resulting in decreased plant productivity and altered species composition, which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to social and ecological stability in the region. Reduced stocking rates and/or a change in livestock breeds and/or grazing practices are general recommendations that could be implemented to cope with increased climatic stress. Ecological Sites (ESs) and their associated state-and-transition models (STMs) are tools to help land managers implement and evaluate responses to disturbances. The projected change in climate will vary depending upon geographic location. Vulnerability assessments and adaptation strategies are necessary at the local level to inform local management decisions and help to ameliorate the effects of climate change on rangelands. The USDA Southwest Climate Hub and the Natural Resources Conservation Service (NRCS) worked together to produce this drought vulnerability assessment at the Major Land Resource Area (MLRA) level: it is based on ESs/STMs that will help landowners and government agencies to identify and develop adaptation options for drought on rangelands. The assessment illustrates how site-specific information can be used to help minimize the effects of drought on rangelands and to support informed decision-making for selecting management adaptations within MLRA 41.
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5

Wyndham, Amber, Emile Elias, Joel R. Brown, Michael A. Wilson, and Albert Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands of Southeastern Colorado’s Major Land Resource Area 69. United States. Department of Agriculture. Southwest Climate Hub, January 2018. http://dx.doi.org/10.32747/2018.6876399.ch.

Full text
Abstract:
Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability resulting in decreased plant productivity and altering species composition which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to social and ecological stability in the region. Reduced stocking rates, change in livestock breeds and/or grazing practices are general recommendations that could be implemented to cope with increased climatic stress. Ecological Sites (ESs) and their associated state and transition models (STMs) are tools to help land managers implement and evaluate responses to disturbances. The projected change in climate will vary depending on geographic location. Vulnerability assessments and adaptation strategies are needed at the local level to inform local management decisions and help ameliorate the effects of climate change on rangelands. The USDA Southwest Climate Hub and Natural Resources Conservation Service (NRCS) worked together to produce this drought vulnerability assessment at the Major Land Resource Area (MLRA) level based on ESs/STMs that will help landowners and government agencies identify and develop adaptation options for drought on rangelands. The assessment illustrates how site-specific information can be used to help minimize the effects of drought on rangelands and support informed decision-making for selecting management adaptations within MLRA 69.
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6

Wyndham, Amber, Emile Elias, Joel Brown, Michael Wilson, and Albert Rango Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands in Southeast Arizona and Southwest New Mexico’s Major Land Resource Area 41. USDA Southwest Climate Hub, August 2018. http://dx.doi.org/10.32747/2018.6947060.ch.

Full text
Abstract:
Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability, resulting in decreased plant productivity and altered species composition, which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to social and ecological stability in the region. Reduced stocking rates and/or a change in livestock breeds and/or grazing practices are general recommendations that could be implemented to cope with increased climatic stress. Ecological Sites (ESs) and their associated state-and-transition models (STMs) are tools to help land managers implement and evaluate responses to disturbances. The projected change in climate will vary depending upon geographic location. Vulnerability assessments and adaptation strategies are necessary at the local level to inform local management decisions and help to ameliorate the effects of climate change on rangelands. The USDA Southwest Climate Hub and the Natural Resources Conservation Service (NRCS) worked together to produce this drought vulnerability assessment at the Major Land Resource Area (MLRA) level: it is based on ESs/STMs that will help landowners and government agencies to identify and develop adaptation options for drought on rangelands. The assessment illustrates how site-specific information can be used to help minimize the effects of drought on rangelands and to support informed decision-making for selecting management adaptations within MLRA 41.
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7

Wyndham, Amber, Emile Elias, Joel Brown, Michael Wilson, and Albert Rango. Drought Vulnerability Assessment to Inform Grazing Practices on Rangelands of Southeastern Colorado’s Major Land Resource Area 69. USDA Southwest Climate Hub, March 2018. http://dx.doi.org/10.32747/2018.6965584.ch.

Full text
Abstract:
Increased climate variability, including more frequent and intense drought, is projected for the southwestern region of the United States. Increased temperatures and reduced precipitation lower soil water availability resulting in decreased plant productivity and altering species composition which may affect forage quality and quantity. Reduced forage quality and increased heat stress attributable to warmer temperatures could lead to decreased livestock performance in this system, which is extensively used for livestock grazing. Mitigating the effects of increasing drought is critical to social and ecological stability in the region. Reduced stocking rates, change in livestock breeds and/or grazing practices are general recommendations that could be implemented to cope with increased climatic stress. Ecological Sites (ESs) and their associated state and transition models (STMs) are tools to help land managers implement and evaluate responses to disturbances. The projected change in climate will vary depending on geographic location. Vulnerability assessments and adaptation strategies are needed at the local level to inform local management decisions and help ameliorate the effects of climate change on rangelands. The USDA Southwest Climate Hub and Natural Resources Conservation Service (NRCS) worked together to produce this drought vulnerability assessment at the Major Land Resource Area (MLRA) level based on ESs/STMs that will help landowners and government agencies identify and develop adaptation options for drought on rangelands. The assessment illustrates how site-specific information can be used to help minimize the effects of drought on rangelands and support informed decision-making for selecting management adaptations within MLRA 69.
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