Relevant bibliographies by topics / Hierarchical patch dynamics

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  1. Journal articles
  2. Dissertations / Theses
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  4. Conference papers

Academic literature on the topic 'Hierarchical patch dynamics'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Hierarchical patch dynamics"

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Fauchald, Per, and Torkild Tveraa. "Hierarchical patch dynamics and animal movement pattern." Oecologia 149, no. 3 (June 23, 2006): 383–95. http://dx.doi.org/10.1007/s00442-006-0463-7.

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Merot and Belhouchette. "Hierarchical Patch Dynamics Perspective in Farming System Design." Agronomy 9, no. 10 (October 2, 2019): 604. http://dx.doi.org/10.3390/agronomy9100604.

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Farming systems are complex and include a variety of interacting biophysical and technical components. This complexity must be taken into account when designing farming systems to improve sustainability, but more methods are needed to be able to do so. This article seeks to apply the Hierarchical Patch Dynamics theory (HPD) to farming systems to understand farming system complexity and be better able to support farming system re-design. A six-step framework is proposed to adapt the HPD theory to farming system analysis by taking into account (i) spatial and temporal interactions and (ii) field
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Gillson, Lindsey. "Evidence of Hierarchical Patch Dynamics in an East African Savanna?" Landscape Ecology 19, no. 8 (November 2004): 883–94. http://dx.doi.org/10.1007/s10980-004-0248-5.

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Gillson, Lindsey. "Evidence of Hierarchical Patch Dynamics in an East African savanna?" Landscape Ecology 19, no. 8 (January 2005): 883–94. http://dx.doi.org/10.1007/s10980-005-0248-0.

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Afshari, Soheil, Richard Mandle, and Shu-Guang Li. "Hierarchical Patch Dynamics Modeling of Near-Well Dynamics in Complex Regional Groundwater Systems." Journal of Hydrologic Engineering 13, no. 9 (September 2008): 894–904. http://dx.doi.org/10.1061/(asce)1084-0699(2008)13:9(894).

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Peng, Shaolin, Ting Zhou, Liyin Liang, and Wentao Ren. "Landscape Pattern Dynamics and Mechanisms during Vegetation Restoration: A Multiscale, Hierarchical Patch Dynamics Approach." Restoration Ecology 20, no. 1 (October 26, 2010): 95–102. http://dx.doi.org/10.1111/j.1526-100x.2010.00741.x.

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Nagatani, Takashi, and Genki Ichinose. "Diffusively-Coupled Rock-Paper-Scissors Game with Mutation in Scale-Free Hierarchical Networks." Complexity 2020 (October 9, 2020): 1–8. http://dx.doi.org/10.1155/2020/6976328.

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We present a metapopulation dynamic model for the diffusively-coupled rock-paper-scissors (RPS) game with mutation in scale-free hierarchical networks. We investigate how the RPS game changes by mutation in scale-free networks. Only the mutation from rock to scissors (R-to-S) occurs with rate μ. In the network, a node represents a patch where the RPS game is performed. RPS individuals migrate among nodes by diffusion. The dynamics are represented by the reaction-diffusion equations with the recursion formula. We study where and how species coexist or go extinct in the scale-free network. We nu
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Wu, Jianguo, and Orie L. Loucks. "From Balance of Nature to Hierarchical Patch Dynamics: A Paradigm Shift in Ecology." Quarterly Review of Biology 70, no. 4 (December 1995): 439–66. http://dx.doi.org/10.1086/419172.

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Kumar, Satwant, and Rufin Vogels. "Body Patches in Inferior Temporal Cortex Encode Categories with Different Temporal Dynamics." Journal of Cognitive Neuroscience 31, no. 11 (November 2019): 1699–709. http://dx.doi.org/10.1162/jocn_a_01444.

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An unresolved question in cognitive neuroscience is how representations of object categories at different levels (basic and superordinate) develop during the course of the neural response within an area. To address this, we decoded categories of different levels from the spiking responses of populations of neurons recorded in two fMRI-defined body patches in the macaque STS. Recordings of the two patches were made in the same animals with the same stimuli. Support vector machine classifiers were trained at brief response epochs and tested at the same or different epochs, thus assessing whether
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Li, Shu-Guang, Qun Liu, and Soheil Afshari. "An object-oriented hierarchical patch dynamics paradigm (HPDP) for modeling complex groundwater systems across multiple-scales." Environmental Modelling & Software 21, no. 5 (May 2006): 744–49. http://dx.doi.org/10.1016/j.envsoft.2005.11.001.

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Dissertations / Theses on the topic "Hierarchical patch dynamics"

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Southwell, Mark, and n/a. "Floodplains as dynamic mosaics : sediment and nutrient patches in a large lowland riverine landscape." University of Canberra. n/a, 2008. http://erl.canberra.edu.au./public/adt-AUC20081217.144116.

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Rivers around the world are under increasing pressure from a variety of human activities. Effective management of riverine landscapes requires an ecosystem approach and one that recognises the complex interactions between their physical, chemical and biological components. Perceptions of pattern and process are central to our understanding of riverine landscapes. Pattern and process operate over multiple scales to produce heterogeneous mosaics of landscape patches that change over time. Hierarchical patch dynamics provides a useful approach to unravel pattern and process at multiple scales in
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Cowlagi, Raghvendra V. "Hierarchical motion planning for autonomous aerial and terrestrial vehicles." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41066.

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Autonomous mobile robots - both aerial and terrestrial vehicles - have gained immense importance due to the broad spectrum of their potential military and civilian applications. One of the indispensable requirements for the autonomy of a mobile vehicle is the vehicle's capability of planning and executing its motion, that is, finding appropriate control inputs for the vehicle such that the resulting vehicle motion satisfies the requirements of the vehicular task. The motion planning and control problem is inherently complex because it involves two disparate sub-problems: (1) satisfaction of th
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SATO, Ken-ichi, Hiroshi HASEGAWA, and Takahiro OGAWA. "Optical Fast Circuit Switching Networks Employing Dynamic Waveband Tunnel." 電子情報通信学会, 2012. https://search.ieice.org/.

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Stueve, Kirk M. "Post-fire Tree Establishment Patterns at the Subalpine Forest-Alpine Tundra Ecotone: A Case Study in Mount Rainier National Park." 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7099.

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Climatic changes have induced striking altitudinal and latitudinal vegetation shifts throughout history. These shifts will almost certainly recur in the future; threatening other flora and fauna, and influencing climate feedback loops. Changes in the spatial distribution of vegetation are most conspicuous at physiognomically distinct ecotones, particularly between the subalpine forest and alpine tundra. Traditionally, ecological research has linked abiotic variables with the position of this ecotone (e.g., cold temperatures inhibit tree survival at high elevations). Thus, the prevailing assump
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Chen, Shih-Sta, and 陳世大. "Hierarchical and Leaping Path Planning in Dynamic Environments." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/31914461696433338698.

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YANG, CHANG-JIA, and 楊長珈. "Path Tracking of an Automatic Ground Vehicle with Different Payloads and Ground Conditions by Hierarchical Improved Fuzzy Dynamic Sliding-Mode Control." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/x52r4y.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>104<br>Due to the hierarchical architecture of the derived model of the automatic guided vehicle (AGV), i.e., kinematics, mechanical motion subsystem, and electrical dc motor dynamics, the virtual desired input (VDI) (i.e., the desired motor current) is at the outset designed by the 1st Lyapunov function, which is a quadratic function of the first sliding surface, set as the linear dynamic pose error of the AGV. In sequence, the hierarchical path tracking control (HPTC) is designed by the 2nd Lyapunov function, which is made up by the quadratic function of the second
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Book chapters on the topic "Hierarchical patch dynamics"

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Wu, Jianguo, G. Darrel Jenerette, and John L. David. "Linking Land-use Change with Ecosystem Processes: A Hierarchical Patch Dynamic Model." In Integrated Land Use and Environmental Models, 99–119. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05109-2_5.

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Ma, Yongjie, Ye Tian, and Wenjing Hou. "Dynamic Path Optimization of Emergency Transport Based on Hierarchical Genetic Algorithm." In Lecture Notes in Computer Science, 445–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13495-1_55.

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Bellanca, Nicolò, and Luca Pardi. "Per una teoria del declino delle società complesse." In Studi e saggi, 129–45. Florence: Firenze University Press, 2020. http://dx.doi.org/10.36253/978-88-5518-195-2.13.

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To explain social decline, a first mechanism notes that elites, understood as small and relatively homogeneous groups, have a superiority to act in concert, compared to the masses. When the capitalist dynamics offers great opportunities to take advantage, and when such opportunities distribute costs over large groups, while concentrating the benefits in a few hands, then the elites have an incentive to intervene. To maintain privileged access to opportunities, elites seek alliances and resort to all forms of social power. Society decays when this path transforms it into a network of particularistic groups, committed to dividing given resources, instead of innovating and improving. A second mechanism is based on the responses of complex societies to challenges. The answers try to bridge the gap between the complexity of the control system and the increased complexity of the controlled system. They may consist either in constructing hierarchical modules, so that many subjects obey a few, or in multiplying the connections through reticular structures. The more the answer stratifies the hierarchy, the more the management costs of the apparatus increase. On the other hand, the more it insists on links, the more coordination costs increase between the many players in the network. The society tends to swing from one to the other, depending on which becomes more onerous. But both modes lead in the long run to decreasing energy returns, pushing the system on a path of decline. Even without the claim of composing an exhaustive investigation, the two mechanisms arise from some of the most relevant and recurrent characteristics of complex human societies: respectively, the difficulties of cooperation and the difficulties of responding to the arising of new systemic problems. In this sense, the two mechanisms may be able to help us understand what happens and what could happen.
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Thorp, James H., Martin C. Thoms, and Michael D. Delong. "Hierarchical Patch Dynamics in Riverine Landscapes." In The Riverine Ecosystem Synthesis, 21–40. Elsevier, 2008. http://dx.doi.org/10.1016/b978-0-12-370612-6.00003-6.

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Tiwari, Ritu, Anupam Shukla, and Rahul Kala. "Hybrid Evolutionary Methods." In Rapid Automation, 295–336. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8060-7.ch014.

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The limitations of single algorithm approaches lead to an attempt to hybridize or fuse multiple algorithms in the hope of removing the underlying limitations. In this chapter, the authors study the evolutionary algorithms for problem solving and try to use them in a unique manner so as to get a better performance. In the first approach, they use an evolutionary algorithm for solving the problem of motion planning in a static environment. An additional factor called momentum is introduced that controls the granularity with which a robotic path is traversed to compute its fitness. By varying the momentum, the map may be treated finer or coarser. The path evolves along the generations, with each generation adding to the maximum possible complexity of the path. Along with complexity (number of turns), the authors optimize the total path length as well as the minimum distance from the obstacle in the robotic path. The requirement of evolutionary parameter individuals as well as the maximum complexity is less at the start and more at the later stages of the algorithm. Momentum is made to decrease as the algorithm proceeds. This makes the exploration vague at the start and detailed at the later stages. As an extension to the same work, in the second approach of the chapter, the authors show the manner in which a hybrid algorithm may be used in place of simple genetic algorithm for solving the problem with momentum. A Hybrid Genetic Algorithm Particle Swarm Optimization (HGAPSO) algorithm, which is a hybrid of a genetic algorithm and particle swarm optimization, is used in the same modeling scenario. In the third and last approach, the authors present a hierarchical evolutionary algorithm that operates in two hierarchies. The coarser hierarchy finds the path in a static environment consisting of the entire robotic map. The resolution of the map is reduced for computational speed. The finer hierarchy takes a section of the map and computes the path for both static and dynamic environments. Both these hierarchies carry optimization as the robot travels in the map. The static environment path gets more and more optimized along with generations. Hence, an extra setup cost is not required like other evolutionary approaches. The finer hierarchy makes the robot easily escape from the moving obstacle, almost following the path shown by the coarser hierarchy. This hierarchy extrapolates the movements of the various objects by assuming them to be moving with same speed and direction.
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Lee, Maria R. Y., and Ching Lee. "Amalgamating Ontological Modeling with Bluetooth Service Discovery." In Innovations of Knowledge Management, 200–214. IGI Global, 2004. http://dx.doi.org/10.4018/978-1-59140-281-7.ch010.

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This chapter introduces ontology conceptual modeling for discovering Bluetooth Services in m-commerce. Discovery services in a dynamic environment, such as Bluetooth, can be a challenge because Bluetooth is unlike any wired network, as there is no need to physically attach cables to the devices you are communicating with. Regular Bluetooth service discovery protocol may be inadequate to match different service naming attributes. To support the matching mechanism and allow more organized service discovery, service relation ontology is proposed to extend and enhance the hierarchical structure introduced in the Bluetooth specification. Frame-based and XML-based approaches are used to codify the service relation ontology, which represents the relations of service concepts. A semantic matching process is introduced to facilitate inexact matching, which leads to a situation in which a simple positive or negative response can be meaningful. The Bluetooth ontology modeling represents a broad range of service descriptions and information. The semantic matching process improves the quality of service discovery. We believe that Bluetooth wireless networks’ amalgamation with the ontology conceptual modeling paradigm is a necessary component of creating a new path in the field of m-commerce infrastructures.
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Popescu, George V. "Distributed Indexing Networks for Efficient Large-Scale Group Communication." In Handbook of Research on P2P and Grid Systems for Service-Oriented Computing, 360–81. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-686-5.ch015.

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Recently a new category of communication network paradigms has emerged: overlay networks for content distribution and group communication, application level multicast and distributed hash tables for efficient indexing and look-up of network resources, etc. As these ideas mature, new Internet architectures emerge. The authors describe here an autonomic, self-optimizing, network virtualization middleware architecture designed for large scale distributed applications. The proposed architecture uses end-hosts and proxies at the edge of the network as the forwarding nodes for distributing content to multiple receivers using simple point-to-point communication. Routing nodes have the capability to process the content prior to forwarding to meet the heterogeneous requirements of receivers. The proposed architecture builds upon a new network abstraction. Distributed indexing networks (DIN) is a new paradigm of communication networks design that relies on assigning indices to communication entities, communication infrastructure nodes and distributed infrastructure resources to control and disseminate information. DINs are in essence overlay networks whose topology is defined by a set of connectivity rules on indices assigned to network nodes. DINs route data packets using network indices (identifiers) and descriptors contained in the application level routing header; messages are routed hop by hop by querying at each node an application level routing indexing structure. As an application of DINs, the authors present an index-based routing multicast protocol together with its distribution tree optimization algorithm. To support applications involving large dynamic multicast groups, the application level multicast scheme uses hierarchical group membership aggregation and stateless forwarding within clusters of network nodes. The authors define the information space (IS) as the multidimensional space that indexes all information available in the network. The information includes infrastructure information (network nodes addresses, storage nodes location), network measurements data, distributed content descriptors, communication group identifiers, real-time published streams and other application dependent communication semantics, etc. The entity communication interest (ECI) is the vector describing the time-dependent information preferences of a network entity (multicast group client, user, etc.). Communication control architecture partitions the IS into interest cells mapped to multicast communication groups. The proposed control algorithm uses proximity-based clustering of network nodes and hierarchical communication interest aggregation to achieve scalability. The authors show that large-scale group communication in the proposed distributed indexing networks requires low computation overhead with a controlled degradation of the end-to-end data path performance.
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Conference papers on the topic "Hierarchical patch dynamics"

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Yamashita, Hiroki, Guanchu Chen, Yeefeng Ruan, Paramsothy Jayakumar, and Hiroyuki Sugiyama. "Vehicle-Terrain Interaction Simulation With Parallelized Multiscale Moving Soil Patch Model." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97920.

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Abstract Although many physics-based off-road mobility simulation models are proposed and utilized for vehicle performance evaluation as well as for understanding of tire-soil interaction problems, full vehicle simulation on deformable terrain requires addressing the computational complexity associated with the large dimensional physics-based terrain dynamics models for practical use. This paper, therefore, presents a hierarchical multiscale tire-soil interaction model that is fully integrated into parallelized off-road mobility simulation framework. In particular, a co-simulation procedure is
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Akiba, Takuya, Yosuke Yano, and Naoto Mizuno. "Hierarchical and Dynamic k -Path Covers." In CIKM'16: ACM Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2983323.2983712.

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Bakker, B., Z. Zivkovic, and B. Krose. "Hierarchical dynamic programming for robot path planning." In 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2005. http://dx.doi.org/10.1109/iros.2005.1545548.

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Wang, Fengchen, Peidong Xu, Ao Li, and Yan Chen. "Energy Optimization of Lateral Motions for Autonomous Ground Vehicles With Four-Wheel Steering Control." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9003.

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Abstract In this paper, a hierarchical optimal four-wheel steering (4WS) controller is proposed to enhance the energy saving for vehicle lateral motions. By the integration of the four-wheel vehicle dynamics, wheel dynamics, and tire model, the vehicle propulsion power consumption is derived with respect to the front and rear wheel steering angles as control inputs. In the high level of the proposed controller, an autonomous path following control is developed to provide virtual control inputs including the lateral forces and yaw moment via the dynamic sliding mode control design. In the low l
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Boyd, Christina, and Craig E. Beal. "Vehicle Stabilization During Critical Cornering Scenarios Using Sliding Surface Control." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5216.

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Crash statistics demonstrate that speeding is often associated with loss of control vehicle crashes. This paper presents an approach which integrates steering and braking actuation to provide driver support in corner over-speed scenarios. The proposed hierarchical controller defines a path-following function for the desired cornering radius and then determines appropriate braking and steering inputs, using sliding surface control, to drive the vehicle to the desired path. Simulations demonstrate that the sliding surface controller design can outperform a human driver model in keeping the vehic
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Petermann, Arne, and Alexander Simon. "Path Dependence In Hierarchical Organizations: The Influence Of Environmental Dynamics." In 30th Conference on Modelling and Simulation. ECMS, 2016. http://dx.doi.org/10.7148/2016-0040.

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Petermann, Arne, and Alexander Simon. "Path Dependence In Hierarchical Organizations: The Influence Of Environmental Dynamics." In 30th Conference on Modelling and Simulation. ECMS, 2016. http://dx.doi.org/10.7148/2016-0041.

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Wang, Qian, Thomas Weiskircher, and Beshah Ayalew. "Hierarchical Hybrid Predictive Control of an Autonomous Road Vehicle." In ASME 2015 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/dscc2015-9773.

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This paper presents a hierarchical hybrid predictive control framework for an autonomously controlled road vehicle. At the top, an assigner module is designed as a finite state machine for decision-making. Based on the current information of the controlled vehicle and its environment (obstacles, and lane markings, etc), the assigner selects discrete maneuver states through pre-defined switching rules. The several maneuver states are related to different setups for the underlying model predictive trajectory guidance module. The guidance module uses a reduced-order curvilinear particle motion de
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Zhou, Ye, Erik-Jan Van Kampen, and Q. Ping Chu. "Hierarchical Path Planning Using Q-Learning and Incremental Approximate Dynamic Programming." In AIAA Infotech @ Aerospace. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-0251.

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Gao, Yang, and Yi-Chang Chiu. "Hierarchical time-dependent shortest path algorithm for dynamic traffic assignment systems." In 2011 14th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2011). IEEE, 2011. http://dx.doi.org/10.1109/itsc.2011.6083070.

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