Relevant bibliographies by topics / Dynamic adaptive pathways planning

Academic literature on the topic 'Dynamic adaptive pathways planning'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Dynamic adaptive pathways planning"

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Carstens, Christoffer, Karin Mossberg Sonnek, Riitta Räty, Per Wikman-Svahn, Annika Carlsson-Kanyama, and Jonathan Metzger. "Insights from Testing a Modified Dynamic Adaptive Policy Pathways Approach for Spatial Planning at the Municipal Level." Sustainability 11, no. 2 (January 15, 2019): 433. http://dx.doi.org/10.3390/su11020433.

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The Dynamic Adaptive Policy Pathways (DAPP) approach has successfully been used to manage uncertainties in large infrastructure projects. However, the viability of the DAPP approach for spatial planning in smaller municipal settings is not clear. This paper examines opportunities and constraints of using adaptive pathways approaches to help small municipalities plan for future sea-level rise. The methodology was based on developing a simplified DAPP-approach, which was tested in a multiple experimental case study of spatial planning projects in three municipalities in Sweden. The results show that the approach promoted vulnerability-based thinking among the end-users and generated new ideas on how to manage the uncertain long-term impacts of future sea-level rise. However, the increased understanding of uncertainties was used to justify static, rather than adaptive, solutions. This somewhat surprising outcome can be explained by perceived legal constraints, lack of experience of adaptive pathways, and unwillingness to prescribe actions that could prove difficult to enforce in the future. More research is needed to further understand at what planning phases dynamic policy pathway approaches work best and how current barriers in legislation, practices, mind-set, organization, and resources can be overcome.
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Hermans, L. M., M. Haasnoot, and J. H. Kwakkel. "Next stop, implementation: collaborative monitoring to inform adaptive policy-making and implementation." Proceedings of the International Association of Hydrological Sciences 364 (September 16, 2014): 374–79. http://dx.doi.org/10.5194/piahs-364-374-2014.

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Abstract. Dynamic Adaptive Policy Pathways has been developed as an approach to deal with deep uncertainties and support robust decision-making for long-term planning. Given the unpredictable and uncertain futures, implementation of the resulting adaptive policies needs to be informed by regular monitoring. However, monitoring implementation in practice is complicated by the need to coordinate activities and share information among multiple actors. Here we present a first outline for an approach to organise collaborative monitoring to support adaptive implementation of long-term water policies. The analytical basis rests on an extension of Dynamic Adaptive Policy Pathways with actor analysis principles. Monitoring is to be organised around adaptation tipping points, for which a set of questions needs to be addressed that put societal actors central. Examples from two water management cases in the Netherlands suggest the usefulness of this approach.
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Lawrence, Judy, and Marjolijn Haasnoot. "What it took to catalyse uptake of dynamic adaptive pathways planning to address climate change uncertainty." Environmental Science & Policy 68 (February 2017): 47–57. http://dx.doi.org/10.1016/j.envsci.2016.12.003.

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Lawrence, Judy, Robert Bell, and Adolf Stroombergen. "A Hybrid Process to Address Uncertainty and Changing Climate Risk in Coastal Areas Using Dynamic Adaptive Pathways Planning, Multi-Criteria Decision Analysis & Real Options Analysis: A New Zealand Application." Sustainability 11, no. 2 (January 15, 2019): 406. http://dx.doi.org/10.3390/su11020406.

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Decision makers face challenges in coastal areas about how to address the effects of ongoing and uncertain sea-level rise. Dynamic adaptive pathways planning (DAPP) and Real Options Analysis (ROA) can support decision makers to address irreducible uncertainties in coastal areas. This paper sets out what we learned by complementing multi-criteria decision analysis with DAPP and ROA when developing a 100-year coastal adaptation strategy in Hawke’s Bay, New Zealand. Lessons include the value of collaborative community and decision maker processes for increasing understanding about the changing risk over time, and the need to take early actions that enable a shift in pathway before those actions become ineffective. Modifications to the methods highlighted the importance of using several plausible scenarios for stress-testing options; considering costs and consent-ability early, to avoid the perception that hard protection will last; which criteria are appropriate for communities to assess; and making many pathways visible for future decision makers. We learned about the difficulties shifting thinking from short-term protection actions to longer-term anticipatory strategies. We found that a pathways system will require ongoing political leadership and governance with monitoring systems that can manage the adaptive process over long timeframes, by governments and their constituent communities.
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Toimil, A., I. J. Losada, J. Hinkel, and R. J. Nicholls. "Using quantitative dynamic adaptive policy pathways to manage climate change-induced coastal erosion." Climate Risk Management 33 (2021): 100342. http://dx.doi.org/10.1016/j.crm.2021.100342.

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Jacobs, Brent, Louise Boronyak, and Polly Mitchell. "Application of Risk-Based, Adaptive Pathways to Climate Adaptation Planning for Public Conservation Areas in NSW, Australia." Climate 7, no. 4 (April 19, 2019): 58. http://dx.doi.org/10.3390/cli7040058.

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Globally, areas of high-quality wildlife habitat of significant environmental value are at risk of permanent damage from climate change. These areas represent social-ecological systems that will require increasing management intervention to maintain their biological and socio-cultural values. Managers of protected areas have begun to recognize the inevitability of ecosystem change and the need to embrace dynamic approaches to intervention. However, significant uncertainty remains about the onset and severity of some impacts, which makes planning difficult. For Indigenous communities, there are intrinsic links between cultural heritage and the conservation of place and biodiversity that need to be better integrated in protected area planning and management. In New South Wales, Australia, management of public conservation reserves and national parks is the responsibility of a State government agency, the National Parks and Wildlife Service (NPWS). This paper describes the outcomes of a participatory planning process with NPWS staff to, firstly, identify the options available, the available ‘tool kit’, to manage biodiversity and cultural heritage in protected areas; secondly, explore how the selection of management actions from the ‘tool kit’ is associated with the level of climate risk to biodiversity or cultural heritage assets; and thirdly, to understand how the form of individual management actions might adapt to changes in climate risk. Combining these three elements into a series of risk-based, adaptive pathways for conservation of biodiversity and cultural heritage is a novel approach that is currently supporting place-based planning for public conservation areas. Incorporation of the trade-offs and synergies in seeking to effectively manage these discrete but related types of values and the implications for conservation practice are discussed.
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Mendizabal, Maddalen, Nieves Peña, Hans Hooyberghs, Griet Lambrechts, Joel Sepúlveda, and Saioa Zorita. "Lessons Learned from Applying Adaptation Pathways in Heatwave Risk Management in Antwerp and Key Challenges for Further Development." Sustainability 13, no. 20 (October 18, 2021): 11481. http://dx.doi.org/10.3390/su132011481.

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Heat exposure is a well-known health hazard, which causes several problems ranging from thermal discomfort or productivity reduction to the aggravation of existing illnesses and death. Climate projections foresee an increase in the frequency and intensity of heat-related impacts on human health. To reduce these climate risks, governments need a better understanding of not only the scale and the factors affecting those risks, but also how to prepare and protect the city and citizens against these risks and prevent them through effective policy making. Therefore, climate adaptation decisions need to be made in complex systems with manifold uncertainties. In response to these deep uncertainties, different planning approaches have been developed to assist policymakers in decision making. This paper is focused on one of the dynamic adaptive policy planning approaches: the adaptation pathway. This approach allows designing alternative feasible plans that are flexible and can respond when new information appears or when conditions in the environment change. This paper presents a structured methodology for designing adaptation pathways. The work describes a high-level adaptation pathway covering heatwave impacts on productivity and health at city level in Antwerp to ensure the city adapts to future conditions. Lastly, a summary is provided of the lessons learned and the challenges of this approach are discussed.
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Haasnoot, Marjolijn, Jan H. Kwakkel, Warren E. Walker, and Judith ter Maat. "Dynamic adaptive policy pathways: A method for crafting robust decisions for a deeply uncertain world." Global Environmental Change 23, no. 2 (April 2013): 485–98. http://dx.doi.org/10.1016/j.gloenvcha.2012.12.006.

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Ngarava, Saul, Leocadia Zhou, and Nomakhaya Monde. "Gendered Water Insecurity: A Structural Equation Approach for Female Headed Households in South Africa." Water 11, no. 12 (November 26, 2019): 2491. http://dx.doi.org/10.3390/w11122491.

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Intricacies between women and water are central to achieving the 2030 Sustainable Development Goals (SDGs). Gender equality and women empowerment is a key driver in ending hunger and poverty as well as improve water security the study sought to identify and provide pathways through which female-headed households were water insecure in South Africa. Secondary data collected during the 2016 General Household Survey (GHS) was utilised, with a sample of 5928 female-headed households. Principal Component Analysis and Structural Equation Modelling were used to analyse the data. The results show dynamic relationships between water characteristics and water treatment. There were also associations between water access and wealth status of the female-headed households. Association was also found between water access and water treatment as well as between wealth status and water treatment. The study concludes that there are dynamic relationships in water insecurity (exposure, sensitivity and adaptive capacity) for female-headed households in South Africa. The study recommends that a multi-prong approach is required in tackling exposures, sensitivities and adaptive capacities to water insecurity. This should include capacity–building and empowering women for wealth generation, improve access to water treatment equipment as well as prioritising improvement of infrastructure that brings piped and safe water to female-headed households.
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Bradley, Sean, Israa H. Mahmoud, and Alessandro Arlati. "Integrated Collaborative Governance Approaches towards Urban Transformation: Experiences from the CLEVER Cities Project." Sustainability 14, no. 23 (November 23, 2022): 15566. http://dx.doi.org/10.3390/su142315566.

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Within the framework of CLEVER Cities Horizon 2020, London, Milan, and Hamburg are putting in place nine Urban Living Labs in order to implement Nature-based Solutions that address urban challenges in socially disadvantaged neighborhoods. In this article, the means by which co-creation processes and pathways may lead to innovation in governance structures are considered. Through a comparative case study analysis, this research aims to identify integrated, collaborative governance frameworks that are complex and adaptive, as well as reflect the actual changes in governance in cities. Herein, ULLs are intended not just as a vehicle for place-based urban regeneration but also as a starting point for collaborative governance. In this article, it is considered how co-creation pathways may lead to innovation in current local governance structures and achieve transformational change. This paper analyzes the collaborative governance dynamic models at three points in time in the three cities. It is also considered how co-creation pathways may lead to innovation in current local governance structures and achieve transformational change.
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Dissertations / Theses on the topic "Dynamic adaptive pathways planning"

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Albagul, Abdulgani. "Dynamic modelling and control of a wheeled mobile robot." Thesis, University of Newcastle Upon Tyne, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327239.

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Petereit, Janko [Verfasser]. "Adaptive State × Time Lattices: A Contribution to Mobile Robot Motion Planning in Unstructured Dynamic Environments / Janko Petereit." Karlsruhe : KIT Scientific Publishing, 2017. http://www.ksp.kit.edu.

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Bonnet, Jonathan. "Multi-criteria and multi-objective dynamic planning by self-adaptive multi-agent system, application to earth observation satellite constellations." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30058/document.

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Etablir le meilleur plan pour l'usinage d'un produit, le meilleur ordonnancement des activités de construction d'un bâtiment ou la meilleure tournée de véhicules pour la livraison des commandes, en prenant en compte diverses contraintes économiques, temporelles, humaines, ou même météorologiques : dans cette diversité d'applications, optimiser la planification est une tâche complexe par le grand nombre d'entités hétérogènes en interaction, la forte dynamique, les objectifs contradictoires à atteindre, etc. La planification de missions pour des constellations de satellites en est un exemple majeur : beaucoup de paramètres et de contraintes, souvent antagonistes, doivent être pris en compte, entraînant une importante combinatoire. Actuellement, en Europe, les plans de missions sont élaborés au sol, juste avant que le satellite ne soit visible par la station d'émission. Les requêtes arrivant durant la planification ne peuvent être traitées, et sont mises en attente. De plus, la complexité de ce problème croit drastiquement : le nombre de constellations et les satellites les composant augmentent, ainsi que le nombre de requêtes journalières. Les approches actuelles montrent leurs limites. Pour pallier à ces inconvénients, de nouveaux systèmes basés sur la décentralisation et la distribution inhérentes à ce genre de problèmes, sont nécessaires. La théorie des systèmes multi-agents adaptatifs (AMAS) et notamment le modèle AMAS4Opt (AMAS for Optimisation) ont montré leur adéquation pour la résolution de problèmes d'optimisation complexes sous contraintes. Le comportement local et coopératif des agents AMAS permet au système de s'auto-adapter à la forte dynamique et de fournir des solutions adéquates rapidement. Dans cette thèse, nous adressons la résolution de la planification des missions de satellites par AMAS. Pour cela, nous avons complété et enrichi les modèles d'agents proposés par AMAS4Opt. Nous avons ainsi développé le système de planification dynamique de missions ATLAS. Pour valider ATLAS sur divers critères, nous avons utilisé un grand nombre de données hétérogènes. Enfin, ce travail a été comparé à un système " opérationnel' " standard sur des scénarios réels, mettant en valeur les apports de notre système
Building the best plan in product treatment, the best schedule to a building construction or the best route for a salesman in order to visit a maximum of cities in the time allowed while taking into account different constraints (economic, temporal, humans or meteorological ): in all of those variety of applications, optimizing the planning is a complex task including a huge number of heterogeneous entities in interaction, the strong dynamics, multiple contradictory objectives, etc. Mission planning for constellations of satellites is a major example: a lot of parameters and constraints, often antagonists must be integrated, leading to an important combinatorial search space. Currently, in Europe, plans are built on ground, just before the satellite is visible by the ground stations. Any request coming during the planning process must wait for the next period. Moreover, the complexity of this problem grows drastically: the number of constellations and satellites increases, as the number of daily requests. Current approaches have shown their limits. To overcome those drawbacks, new systems based on decentralization and distribution inherent to this problem, are needed. The adaptive multi-agent systems (AMAS) theory and especially the AMAS4Opt (AMAS For Optimization) model have shown their adequacy in complex optimization problems solving. The local and cooperative behavior of agents allows the system to self-adapt to highly dynamic environments and to quickly deliver adequate solutions. In this thesis, we focus on solving mission planning for satellite constellations using AMAS. Thus, we propose several enhancement for the agent models proposed by AMAS4Opt. Then, we design the ATLAS dynamic mission planning system. To validate ATLAS on several criteria, we rely on huge sets of heterogeneous data. Finally, this work is compared to an operational and standard system on real scenarios, highlighting the value of our system
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Celik, Nurcin. "INTEGRATED DECISION MAKING FOR PLANNING AND CONTROL OF DISTRIBUTED MANUFACTURING ENTERPRISES USING DYNAMIC-DATA-DRIVEN ADAPTIVE MULTI-SCALE SIMULATIONS (DDDAMS)." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/195427.

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Discrete-event simulation has become one of the most widely used analysis tools for large-scale, complex and dynamic systems such as supply chains as it can take randomness into account and address very detailed models. However, there are major challenges that are faced in simulating such systems, especially when they are used to support short-term decisions (e.g., operational decisions or maintenance and scheduling decisions considered in this research). First, a detailed simulation requires significant amounts of computation time. Second, given the enormous amount of dynamically-changing data that exists in the system, information needs to be updated wisely in the model in order to prevent unnecessary usage of computing and networking resources. Third, there is a lack of methods allowing dynamic data updates during the simulation execution. Overall, in a simulation-based planning and control framework, timely monitoring, analysis, and control is important not to disrupt a dynamically changing system. To meet this temporal requirement and address the above mentioned challenges, a Dynamic-Data-Driven Adaptive Multi-Scale Simulation (DDDAMS) paradigm is proposed to adaptively adjust the fidelity of a simulation model against available computational resources by incorporating dynamic data into the executing model, which then steers the measurement process for selective data update. To the best of our knowledge, the proposed DDDAMS methodology is one of the first efforts to present a coherent integrated decision making framework for timely planning and control of distributed manufacturing enterprises.To this end, comprehensive system architecture and methodologies are first proposed, where the components include 1) real time DDDAM-Simulation, 2) grid computing modules, 3) Web Service communication server, 4) database, 5) various sensors, and 6) real system. Four algorithms are then developed and embedded into a real-time simulator for enabling its DDDAMS capabilities such as abnormality detection, fidelity selection, fidelity assignment, and prediction and task generation. As part of the developed algorithms, improvements are made to the resampling techniques for sequential Bayesian inferencing, and their performance is benchmarked in terms of their resampling qualities and computational efficiencies. Grid computing and Web Services are used for computational resources management and inter-operable communications among distributed software components, respectively. A prototype of proposed DDDAM-Simulation was successfully implemented for preventive maintenance scheduling and part routing scheduling in a semiconductor manufacturing supply chain, where the results look quite promising.
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Maguire, Gregory M. "Concept of a dynamic organizational schema for a network-centric organization." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FMaguire.pdf.

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Thesis (M.S. in Systems Technology)--Naval Postgraduate School, June 2003.
Thesis advisor(s): Carl R. Jones, William G. Kemple. Includes bibliographical references (p. 95-97). Also available online.
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Clay, Larry Clinton Jr. "Integrative Ecosystem Management: Designing Cities and Co-creating the Flourishing Ecosystem." Case Western Reserve University School of Graduate Studies / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case162584034740029.

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Yu, Yi. "Radio Resource Planning in Low Power Wide Area IoT Networks." Electronic Thesis or Diss., Paris, CNAM, 2021. http://www.theses.fr/2021CNAM1287.

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Cette thèse étudie le problème de planification des ressources pour les réseaux IoT longues portées basés sur les technologies NB-IoT et LoRa. Dans les deux cas, on suppose que les capteurs et les collecteurs sont distribués suivant des processus de points de Poisson spatial indépendants marqués par le caractère aléatoire du canal. Pour le NB-IoT, nous élaborons un modèle de dimensionnement statistique qui estime le nombre de ressources radio nécessaires en fonction du délai d’accès toléré, de la densité des nœuds actifs, des collecteurs et de la configuration de l’antenne. Pour le réseau LoRa, nous proposons une technique d’allocation de plusieurs sous-bandes pour atténuer le niveau élevé d’interférence induit par les nœuds qui transmettent avec le même facteur d’étalement. Pour allouer dynamiquement le facteur d’étalement et la puissance, nous présentons une approche d’apprentissage automatique avec multi-agents qui permet d’améliorer l’efficacité énergétique
In this thesis, we focus on radio resource planning issues for low power wide area networks based on NB-IoT and LoRa technologies. In both cases, the average behavior of the network is considered by assuming the sensors and the collectors are distributed according to independent random Poisson Point Process marked by the channel randomness. For the NB-IoT, we elaborate a statistical dimensioning model that estimates the number of radio resources in the network depending on the tolerated delay access, the density of active nodes, the collectors, and the antenna configuration with single and multi-user transmission. For the LoRa network, we propose a multi-sub band allocation technique to mitigate the high level of interference induced by nodes that transmit with the same spreading factor. To dynamically allocate the spreading factor and the power, we present a Q-learning multi-agent approach to improve the energy efficiency
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Paula, Sofia Valente Varandas da Rocha. "Adaptive Planning for coastal climate adaptation in port-cities: integrating Adaptation Pathways into planning instruments." Doctoral thesis, 2021. https://hdl.handle.net/10216/136770.

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Pham, Trung Tat. "Adaptive robot path planning with obstacle avoidance in a dynamic environment." Thesis, 1991. http://hdl.handle.net/1911/16475.

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The problem of path planning for a robotic system is considered, under the conditions in which both the target to be reached and the obstacles with which collision must be avoided are moving in a way not known in advance. To address this situation, an adaptive path planning scheme is proposed: A path is designed for a short time interval I between consecutive data points based on the data gathered at the beginning of I. In addition to this adaptive path planning scheme, a key contribution of this research has been the introduction, in the obstacle avoidance problem, of a new artificial potential energy function. This function, induced by an obstacle, depends not only on the robot's position but also on its velocity. Its use permits avoidance of false alarm and trapping caused by obstacles. Both the cases of a mobile robot system and a manipulator system are considered in detail. For a mobile robot, the system is modeled as a linear time-invariant system. The path planning problem is formulated in the form of two optimization problems: (i) Find the path as if there are no obstacles by minimizing the error between the state of the robot and that of the destination, and (ii) Find the path with obstacle avoidance by minimizing the sum of the deviation from the path computed in (i) and the artificial potential energy function resulting from the obstacles. For a manipulator, the problem is formulated and solved in a similar way. Solutions, analytical examples, and computer simulations are presented for both the mobile robot and manipulator cases.
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Shiou, Chyng-Hua. "Dynamic trajectory planning and self-tuning adaptive control design for industrial robots." 1985. http://catalog.hathitrust.org/api/volumes/oclc/13133094.html.

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Thesis (Ph. D.)--University of Wisconsin--Madison, 1985.
Typescript. Vita. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 312-354).
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Books on the topic "Dynamic adaptive pathways planning"

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United States. National Aeronautics and Space Administration., ed. On motion planning and control of multi-link lightweight robotic manipulators: Dissertion presented to the Faulty of DIvision of Graduate Studies. [Atlanta, Ga.]: Georgia Institute of Technology, 1987.

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Albert, Tyler J., and Erik R. Swenson. The blood cells and blood count. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0265.

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Blood is a dynamic fluid consisting of cellular and plasma components undergoing constant regeneration and recycling. Like most physiological systems, the concentrations of these components are tightly regulated within narrow limits under normal conditions. In the critically-ill population, however, haematological abnormalities frequently occur and are largely due to non-haematological single- or multiple-organ pathology. Haematopoiesis originates from the pluripotent stem cell, which undergoes replication, proliferation, and differentiation, giving rise to cells of the erythroid, myeloid, and lymphoid series, as well as megakaryocytes, the precursors to platelets. The haemostatic system is responsible for maintaining blood fluidity and, at the same time, prevents blood loss by initiating rapid, localized, and appropriate blood clotting at sites of vascular damage. This system is complex, comprising both cellular and plasma elements, i.e. platelets, coagulation and fibrinolytic cascades, the natural intrinsic and extrinsic pathways of anticoagulation, and the vascular endothelium. A rapid, reliable, and inexpensive method of examining haematological disorders is the peripheral blood smear, which allows practitioners to assess the functional status of the bone marrow during cytopenic states. Red blood cells, which are primarily concerned with oxygen and carbon dioxide transport, have a normal lifespan of only 120 days and require constant erythropoiesis. White blood cells represent a summation of several circulating cell types, each deriving from the hematopoietic stem cell, together forming the critical components of both the innate and adaptive immune systems. Platelets are integral to haemostasis, and also aid our inflammatory and immune responses, help maintain vascular integrity, and contribute to wound healing.
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Book chapters on the topic "Dynamic adaptive pathways planning"

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Haasnoot, Marjolijn, Andrew Warren, and Jan H. Kwakkel. "Dynamic Adaptive Policy Pathways (DAPP)." In Decision Making under Deep Uncertainty, 71–92. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05252-2_4.

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Walker, Warren E., Vincent A. W. J. Marchau, and Jan H. Kwakkel. "Dynamic Adaptive Planning (DAP)." In Decision Making under Deep Uncertainty, 53–69. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05252-2_3.

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Yeravdekar, Vidya, and Nidhi Piplani Kapur. "Coping with Covid-19: Forging Creative Pathways to Support Educational Continuity Amidst the Pandemic." In Knowledge Studies in Higher Education, 111–22. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82159-3_7.

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AbstractThe pandemic has forced all educational institutions to grapple with challenges. Throughout this time Symbiosis International University (SIU) in India has been proactive in leading change not only at the university but also in K-12 schools. While the university transitioned to virtual teaching and learning, a methodical approach was laid out in assisting its eight elementary and senior secondary schools in both urban and rural areas, through the Symbiosis Schools Central Directorate (SSCD), to adapt to the needs of a public health crisis. While connectivity challenges continue to haunt schools, especially in rural areas, training and capacity building of K-12 teachers and administrators by university professors and experts has been a saving grace in navigating the pandemic.The focus of this case is understanding the parallels and the partnership between SIU and its K-12 schools. It reflects a bottom-up approach in dealing with the pandemic where Symbiosis Society, the non-profit organization that has established the schools as well as the University, invested in teacher capacity building at its elementary and secondary schools through its Symbiosis Schools Central Directorate (SSCD) in both rural and urban areas to ensure continuity of teaching and learning while adapting to this new normal. The investment in teacher capacity building has enabled the leadership to address the emerging circumstances, stimulate momentum to create or demand needed change at their institutions, inspire peer learning, and foster innovation in strategy and practice for the greater benefit of its stakeholders including students and parents.This case study reflects on SIU experiences in dealing with the dynamic circumstances such as training and capacity building with respect to supporting teachers in developing skills to adapt their content to virtual mode, blended learning, and integrating Collaborative Online International Learning (COIL) into the curriculum. In addition, SIU had to counsel students and parents to adapt to this new way of learning. SIU’s experience encompasses a coordinated approach of working with internal and external stakeholders to develop a response to the crisis, short-to-medium-term strategic planning in the face of uncertainty, exploring technology solutions, partnership management, and effective communication processes with its stakeholders. Special emphasis has been put on ensuring the mental and physical wellbeing of the learner, constant communication and guidance to parents, and virtual activities to promote community engagement to mitigate the loss of physical social interactions at this crucial time.
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MohaimenianPour, SeyedMehdi, Mohammed Behbooei, and Saeed Shiry Ghidary. "Adaptive Multiagent Path Planning with Dynamic Heuristic." In Intelligent Autonomous Systems 13, 591–603. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-08338-4_44.

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Singh, Vijay P., Satya Prakash Maurya, Ramesh Singh, and Akhilesh Kumar Yadav. "An Interdisciplinary Modeling Approach for Dynamic Adaptive Policy Pathways." In Modeling and Simulation of Environmental Systems, 343–53. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003203445-22.

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Lawrence, Judy, Marjolijn Haasnoot, Laura McKim, Dayasiri Atapattu, Graeme Campbell, and Adolf Stroombergen. "Dynamic Adaptive Policy Pathways (DAPP): From Theory to Practice." In Decision Making under Deep Uncertainty, 187–99. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05252-2_9.

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Mukheibir, Pierre, Louise Boronyak-Vasco, and Pelenise Alofa. "Dynamic Adaptive Management Pathways for Drinking Water Security in Kiribati." In Climate Change Adaptation in Pacific Countries, 287–301. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50094-2_17.

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Lawrence, Judy, Marjolijn Haasnoot, Laura McKim, Dayasiri Atapattu, Graeme Campbell, and Adolf Stroombergen. "Correction to: Dynamic Adaptive Policy Pathways (DAPP): From Theory to Practice." In Decision Making under Deep Uncertainty, C1. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05252-2_18.

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Kurihara, Satoshi, Shigemi Aoyagi, and Rikio Onai. "Adaptive selection of reactive/deliberate planning for the dynamic environment." In Lecture Notes in Computer Science, 112–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63077-5_29.

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Pavlich-Mariscal, Jaime, Mery Yolima Uribe-Rios, Luisa Fernanda Barrera-León, Nadia Alejandra Mejia-Molina, Angela Carrillo-Ramos, Alexandra Pomares, Juan Camilo González-Vargas, et al. "Dynamic Adaptive Activity Planning in Education: Implementation and Case Study." In Communications in Computer and Information Science, 112–31. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29585-5_7.

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Conference papers on the topic "Dynamic adaptive pathways planning"

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Schlieter, Hannes, Martin Benedict, Kai Gand, and Martin Burwitz. "Towards Adaptive Pathways: Reference Architecture for Personalized Dynamic Pathways." In 2017 IEEE 19th Conference on Business Informatics (CBI). IEEE, 2017. http://dx.doi.org/10.1109/cbi.2017.55.

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Tiwari, Pankaj Kumar, Prasanna Chidambaram, Ahmad Ismail Azahree, Debasis Priyadarshan Das, Parimal Arjun Patil, Zoann Low, Prasanna Kumar Chandran, Raj Deo Tewari, M. Khaidhir Abdul Hamid, and M. Azriyuddin Yaakub. "Safeguarding CO2 Storage in a Depleted Offshore Gas Field with Adaptive Approach of Monitoring, Measurement and Verification MMV." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204590-ms.

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Abstract CO2 sequestration is a process for eternity with a possibility of zero-degree failure. One of the key components of the CO2 Sequestration Project is to have a site-specific, risk-based and adaptive Monitoring, Measurement and Verification (MMV) plan. The storage site has been studied thoroughly and is understood to be inherently safe for CO2 sequestration. However, it is incumbent on operator to manage and minimize storage risks. MMV planning is critical along with geological site selection, transportation and storage process. Geological evaluation study of the storage site suggests the containment capacity of identified large depleted gas reservoirs as well as long term conformance due to thick interval. The fault-seal analysis and reservoir integrity study contemplate long-term security of the CO2 storage. An integrated 3D reservoir dynamic simulation model coupled with geomechanical and geochemical models were performed. This helps in understanding storage capacity, trapping mechanisms, reservoir integrity, plume migration path, and injectivity. To demonstrate that CO2 plume migration can be mapped from the seismic, a 4D Seismic feasibility study was carried out using well and fluid data. Gassmann fluid substitution was performed in carbonate reservoir at well, and seismic response of several combination of fluid saturation scenarios on synthetic gathers were analyzed. The CO2 dispersion study, which incorporate integration of subsurface, geomatic and metocean & environment data along with leakage character information, was carried out to understand the potential leakage pathway along existing wells and faults which enable to design a monitoring plan accordingly. The monitoring of wells & reservoir integrity, overburden integrity will be carried out by Fiber Optic System to be installed in injection wells. Significant difference in seismic amplitude observed at the reservoir top during 4D seismic feasibility study for varying CO2 saturation suggests that monitoring of CO2 plume migration from seismic is possible. CO2 plume front with as low as 25% saturation can be discriminated provided seismic data has high signal noise ratio (SNR). 3D DAS-VSP acquisition modeling results show that a subsurface coverage of approximately 3 km2 per well is achievable. Laboratory injectivity studies and three-way coupled modelling simulations established that three injection wells will be required to achieve the target injection rate. As planned injection wells are field centric and storage site area is large, DAS-VSP find limited coverage to monitor the CO2 plume front. Hence, surface seismic acquisition will be an integral component of full field monitoring and time-lapsed evaluations for integrated MMV planning to monitor CO2 plume migration. The integrated MMV planning is designed to ensure that injected CO2 in the reservoir is intact and safely stored for hundreds of years after injection. Field specific MMV technologies for CO2 plume migration with proactive approach were identified after exercising pre-defined screening criteria.
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Brož, Petr, Ivana Kolingerová, Přemysl Zítka, Russel Ahmed Apu, and Marina Gavrilova. "Path planning in dynamic environment using an adaptive mesh." In the 23rd Spring Conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/2614348.2614381.

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Sakakibara, Kazutoshi. "Adaptive optimization by dynamic programming heuristics for logistics planning in dynamic environments." In 2013 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2013. http://dx.doi.org/10.1109/sii.2013.6776719.

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Busoniu, Lucian, Remi Munos, Bart De Schutter, and Robert Babuska. "Optimistic planning for sparsely stochastic systems." In 2011 Ieee Symposium On Adaptive Dynamic Programming And Reinforcement Learning. IEEE, 2011. http://dx.doi.org/10.1109/adprl.2011.5967375.

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Pavlich-Mariscal, Jaime, Yolima Uribe, Luisa Fernanda Barrera-León, Nadia Alejandra Mejia-Molina, Angela Carrillo-Ramos, Alexandra Pomares Quimbaya, Rosa Maria Vicari, Ramon Fabregat, and Silvia Baldiris. "An Architecture for Dynamic and Adaptive User Activity Planning Systems." In 11th International Conference on Web Information Systems and Technologies. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005430302280235.

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Wenyuan, Zhang, Guo Jifeng, and Bai Chengchao. "Adaptive Path Planning for Unmanned Planetary Rover with Dynamic Obstacle." In 2019 IEEE International Conference on Unmanned Systems (ICUS). IEEE, 2019. http://dx.doi.org/10.1109/icus48101.2019.8996050.

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Xiaowei Fu and Xiaoguang Gao. "Genetic algorithm with adaptive immigrants for dynamic flight path planning." In 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658510.

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Virani, Nurali, and Minghui Zhu. "Robust adaptive motion planning in the presence of dynamic obstacles." In 2016 American Control Conference (ACC). IEEE, 2016. http://dx.doi.org/10.1109/acc.2016.7525229.

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Cai, Kuanqi, Chaoqun Wang, Chenming Li, Shuang Song, and Max Q. H. Meng. "Adaptive Sampling for Human-aware Path Planning in Dynamic Environments." In 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2019. http://dx.doi.org/10.1109/robio49542.2019.8961811.

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Reports on the topic "Dynamic adaptive pathways planning"

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Lempert, Robert J., Michelle Miro, and Diogo Prosdocimi. A DMDU Guidebook for Transportation Planning Under a Changing Climate. Edited by Benoit Lefevre and Ernesto Monter Flores. Inter-American Development Bank, February 2021. http://dx.doi.org/10.18235/0003042.

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The effects of climate-related natural hazards pose a significant threat to sustainable development in Latin America and the Caribbean (LAC) region and in particular its transportation sector. Risk Management provides an appropriate framework for assessing and mitigating the impacts of climate change and other climate-related natural hazards on transportation systems and choosing actions to enhance their resilience. However, analysts and policymakers involved in transportation planning, policy, and investment face significant challenges in managing the risks triggered by the effects of climate change. Climate change impacts the lifespan of roads, airports, and railroads as they have time horizons that surpass 40 years, thus making it harder (if not impossible) to forecast with confidence all relevant future events that will affect such infrastructure. In addition, the climate has already changed, so the return frequency of storms, for example, and other extreme events may now be different than suggested by the historical record in ways that are not always currently well understood. Implementing Risk Management under conditions of such uncertainty can prove difficult. Decision Making Under Deep Uncertainty (DMDU) enables Risk Management under conditions of Deep Uncertainty, that is when risks cannot confidently be quantified. This guidebook is aligned with the Disaster and Climate Change Risk Assessment Methodology for IDB projects (IDB 2018) and introduces and provides guidance on applying methods for Decision Making Under Deep Uncertainty (DMDU) to transportation planning. It presents the methodological steps that are necessary for the implementation of DMDU methodologies and reviews several such methods, including scenario planning, Adaptive Pathways, and robust decision making (RDM). This review is geared towards supporting the incorporation of DMDU methods into IDBs transportation sector funding and planning processes.
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