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Academic literature on the topic 'Hierarchical patch dynamics'

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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 and management diversity. This framework was applied to a vineyard case study. The result was a hierarchical formalization of the farming system. The HPD framework improved understanding and enabled the formalization of (i) the hierarchical structure of the farming system, (ii) the interactions between structure and processes and (iii) scaling up and down from field to farm scale. HPD theory proved to be successful in analyzing farming system complexity at the farm scale. The framework can help with specific aspects of farming system design, such as how to change the scale of study or determining which scale should be used when choosing indicators for crop management and integrating multi-scale constraints and processes.
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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 numerically obtained the solutions for the metapopulation dynamics and derived the transition points. The results show that, with increasing mutation rate μ, the extinction of P species occurs and then the extinction of R species occurs, and finally only S species survives. Thus, the first and second dynamical phase transitions occur in the scale-free hierarchical network. We also show that the scaling law holds for the population dynamics which suggests that the transition points approach zero in the limit of infinite size.
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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 category representations change during the course of the response. In agreement with hierarchical processing within the body patch network, the posterior body patch mid STS body (MSB) showed an earlier onset of categorization compared with the anterior body patch anterior STS body (ASB), irrespective of the categorization level. Decoding of the superordinate body versus nonbody categories was less dynamic in MSB than in ASB, with ASB showing a biphasic temporal pattern. Decoding of the ordinate-level category human versus monkey bodies showed similar temporal patterns in both patches. The decoding onset of superordinate categorizations involving bodies was as early as for basic-level categorization, suggesting that previously reported differences between the onset of basic and superordinate categorizations may depend on the area. The qualitative difference between areas in their dynamics of category representation may hinder the interpretation of decoding dynamics based on EEG or MEG, methods that may mix signals of different areas.
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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 riverine landscapes. This thesis adopts a hierarchical patch dynamics approach to investigate floodplain sediment and nutrient dynamics within the Barwon-Darling River in South Eastern Australia. The flow regime of the Barwon-Darling River is highly variable. As a result, it has a complex channel cross section featuring inset-floodplain surfaces that occur at multiple elevations within the channel trough. These surfaces formed the focus of this study. The texture of inset- floodplain surface sediments displays a patchy spatial distribution and one that did not reflect lateral or longitudinal gradients within this floodplain landscape. Rather a sediment textural patch mosaic was identified. Nutrient concentrations associated with the surface sediments of the inset-floodplains were also shown to vary significantly resulting in a nutrient patch mosaic. This spatial nutrient mosaic was enhanced by factors including the surface elevation of the floodplain surface. Sediment and nutrient exchange between the river channel and inset-floodplain surfaces was measured during several flows in 2001, 2002 and 2005. Pin and sediment trap data showed that significant quantities of sediment were exchanged between the river channel and floodplain surfaces during inundation with both cut and fill processes occurring. Patterns in sediment exchange appear to be related to local sediment supply and seasonal sediment exhaustion, rather than the top down geomorphic constraints considered. These material exchanges resulted in a change to the spatial configuration of the sediment textural patch mosaic. Distinct new sediment textural patches were created following inundation, while other patches were lost post inundation and other patches changed sediment textural character to move into pre-existing patches. Thus a truly dynamic sediment textural mosaic exists within this floodplain landscape. Nutrient concentrations associated with floodplain sediments also changed over time. While nutrient concentrations increased after the December 2001 flow event, they generally decreased after the March 2002 event, highlighting their dynamic nature over time. The spatial distribution of nutrient concentrations also varied over time, with a 40 percent change to the nutrient mosaic as a result of the March 2002 flow event. In addition to the influence of the changing physical template (sediment texture mosaic), nutrient concentrations were shown to be influenced by rainfall processes on non flooded surfaces, and also a number of top-down constraints and bottom-up influences operating over multiple spatial scales. Overall, the inset-floodplains studied in this thesis acted primarily as sediment and nutrient sinks, and were a source for dissolved nutrients. Nutrient exchange was associated with the exchange of sediments in this riverine landscape, over both inter-flow and decadal timescales. It was demonstrated that water resource development within the catchment reduced the number, magnitude and duration of flow events down the Barwon-Darling River and as a result reductions in the exchange of sediment, associated and dissolved nutrients between inset-floodplains and the main river channel were calculated. The greatest reductions were with the release of dissolved nutrients (42-25 percent) and the exchange of sediment and associated nutrients from high level surfaces (43 percent). Effective conservation and management of riverine ecosystems must occur at the correct scale. This study identified potential nutrient hotspots at several scales in the Barwon-Darling floodplain landscape that could be targeted by management. The low predictability of the location of nutrient hotspots at the inset-floodplain scale over time means that environmental flows should be targeted at high level surfaces (<25 000 MLD-1) that provide long term sources of carbon to the river channel. Conserving flows of this magnitude will also reinstate flow variability, an important facet of the Barwon-Darling River?s hydrology that has been changed by water resource development. The research presented in this thesis highlights the importance of not only considering pattern and process at multiple scales, but also the way in which these processes influence landscape patterns over time, leading to the identification of the appropriate scales that can best be targeted for the conservation of these systems.
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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 the vehicular task requirements, which requires tools from combinatorics and/or formal methods, and (2) design of the vehicle control laws, which requires tools from dynamical systems and control theory. Accordingly, this problem is usually decomposed and solved over two levels of hierarchy. The higher level, called the geometric path planning level, finds a geometric path that satisfies the vehicular task requirements, e.g., obstacle avoidance. The lower level, called the trajectory planning level, involves sufficient smoothening of this geometric path followed by a suitable time parametrization to obtain a reference trajectory for the vehicle. Although simple and efficient, such hierarchical separation suffers a serious drawback: the geometric path planner has no information of the kinematic and dynamic constraints of the vehicle. Consequently, the geometric planner may produce paths that the trajectory planner cannot transform into a feasible reference trajectory. Two main ideas appear in the literature to remedy this problem: (a) randomized sampling-based planning, which eliminates altogether the geometric planner by planning in the vehicle state space, and (b) geometric planning supported by feedback control laws. The former class of methods suffer from a lack of optimality of the resultant trajectory, while the latter class of methods makes a restrictive assumption concerning the vehicle kinematic model. In this thesis, we propose a hierarchical motion planning framework based on a novel mode of interaction between these two levels of planning. This interaction rests on the solution of a special shortest-path problem on graphs, namely, one using costs defined on multiple edge transitions in the path instead of the usual single edge transition costs. These costs are provided by a local trajectory generation algorithm, which we implement using model predictive control and the concept of effective target sets for simplifying the non-convex constraints involved in the problem. The proposed motion planner ensures "consistency" between the two levels of planning, i.e., a guarantee that the higher level geometric path is always associated with a kinematically and dynamically feasible trajectory. We show that the proposed motion planning approach offers distinct advantages in comparison with the competing approaches of discretization of the state space, of randomized sampling-based motion planning, and of local feedback-based, decoupled hierarchical motion planning. Finally, we propose a multi-resolution implementation of the proposed motion planner, which requires accurate descriptions of the environment and the vehicle only for short-term, local motion planning in the immediate vicinity of the vehicle.
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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 assumption states that this ecotone is in equilibrium or quasi-equilibrium with the surrounding physical environment and that any dynamic shifts express direct linkages with the physical environment. This dissertation employs a landscape ecology approach to examine the abiotic and biotic ecological mechanisms most important in controlling tree establishment at this ecotone. The study site is on the western slopes of Mount Rainier, which was severely burned by a slash fire in 1930. Therefore, a crucial underlying assumption is that the ecological mechanisms controlling tree establishment are similar at disturbed and undisturbed sites. I exploited the use of 1970 CORONA satellite imagery and 2003 aerial photography to map 33 years of changes in arboreal vegetation. I created detailed maps of abiotic variables from a LIDAR-based DEM and biotic variables from classified remotely sensed data. I linked tree establishment patterns with abiotic and biotic variables in a GIS, and analyzed the correlations with standard logistic regression and logistic regression in the hierarchical partitioning framework at multiple spatial resolutions. A biotic factor (proximity to previously existing trees) was found to exert a strong influence on tree establishment patterns; equaling and in most cases exceeding the significance of the abiotic factors. The abiotic setting was more important at restricted spatial extents near the extreme upper limits of the ecotone and when analyzing coarse resolution data, but even in these cases proximity to existing trees remained significant. The strong overall influence of proximity to existing trees on patterns of tree establishment is unequivocal. If the underlying assumption of this dissertation is true, it challenges the long-held ecological assumption that vegetation in mountainous terrain is in equilibrium with and most strongly influenced by the surrounding physical environment.
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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
國立臺灣科技大學
電機工程系
104
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 sliding surface, i.e., the linear dynamic tracking error of the VDI. Thus, the direct output (i.e., the motor current) either asymptotically or boundedly tracks the VDI. In this situation, the asymptotic or bounded tracking of the indirect outputs (i.e., the pose of AGV) is achieved. Both VDI and HPTC contain equivalent control and improved fuzzy dynamic sliding-mode control (IFDSMC). The nominal dynamic system is tackled by equivalent control; on the other hand, IFDSMC deals with the system uncertainties (e.g., friction force or torque caused by different ground conditions, different payloads). The integration of VDI and HPTC is the proposed hierarchical improved fuzzy dynamic sliding-mode control (HIFDSMC). The stability of the closed-loop system is also verified by Lyapunov stability theory using hierarchical concept. Finally, the application to the assembly line of the AGV with payload for tracking circular path and piecewise straight-line path by the proposed HIFDSMC are compared with the hierarchical fuzzy decentralized path tracking control (HFDPTC).
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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 developed for full vehicle simulation with multiscale terrain dynamics models by exploiting the moving soil patch technique. To this end, a detailed off-road vehicle simulation model is divided into five subsystems: a multibody vehicle subsystem and four tire-soil subsystems composed of nonlinear FE tires and multiscale moving soil patches. The tire-soil subsystems are interfaced with the vehicle subsystem by MPI through force-displacement coupling. It is demonstrated that the proposed framework allows for alleviating computational intensity of a full vehicle simulation that involves complex hierarchical multiscale terrain dynamics models by effectively distributing computational loads with co-simulation techniques.
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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 level, the high-level virtual control inputs are distributed to the front and rear steering angles, in which the energy optimization problem is solved. The objective function of the optimization problem aims to minimize the vehicle propulsion power consumption and virtual control tracking error. Furthermore, the requirements of the vehicle stability and the path following accuracy are considered in the constraints. Verified by CarSim® and MATLAB/Simulink® co-simulation, the proposed 4WS hierarchical energy optimization controller can successfully reduce the power loss for vehicle lateral motions.
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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 vehicle on the roadway, employing a complex sequence of braking and steering inputs only feasible with the addition of a modern vehicle control system.
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6

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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7

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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8

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 description of the controlled vehicle and obstacle objects as well as a corresponding description of the reference path, lane and traffic limits. The output of the guidance module interfaces with the lower level controller of the continuous vehicle dynamics. The performance of the proposed framework is demonstrated via simulations of highway-driving scenarios.
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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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