From stand-alone programs towards grid-aware services and components: a case study in agricultural modelling with interpolated climate data

Mineter, Michael J.; Jarvis, C.; Dowers, Steve

doi:10.1016/s1364-8152(02)00073-7

Cited by 37 publications

(15 citation statements)

References 47 publications

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“…Several works have addressed the construction of domain-specific applications by assembling and reusing geospatial tools and data as services [30,22,6], and many researchers followed the Open Geospatial Consortium's (OGC) Web Service standards [1] in order to increase discoverability and compatibility (e.g. [10,33,12]).…”

Section: Related Workmentioning

confidence: 99%

Constraints-Driven Automatic Geospatial Service Composition: Workflows for the Analysis of Sea-Level Rise Impacts

Al-Areqi

Lamprecht

Margaria

2016

Computational Science and Its Applications -- ICCSA 2016

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Abstract. Building applications based on the reuse of existing components or services has noticeably increased in the geospatial application domain, but researchers still face a variety of technical challenges designing workflows for their specific objectives and preferences. Hence, means for automatic service composition that provide semantics-based assistance in the workflow design process have become a frequent demand especially of end users who are not IT experts. This paper presents a method for automatic composition of workflows for analyzing the impacts of sea-level rise based on semantic domain modeling. The domain modeling comprises the design of adequate services, the definition of ontologies to provide domain-specific vocabulary for referring to types and services, and the input/output annotation of the services using the terms defined in the ontologies. We use the PROPHETS plugin of the jABC workflow framework to show how users can benefit from such a domain model when they apply its constraintsdriven synthesis methods to obtain the workflows that match their intentions.

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Section: Related Workmentioning

confidence: 99%

Constraints-Driven Automatic Geospatial Service Composition: Workflows for the Analysis of Sea-Level Rise Impacts

Al-Areqi

Lamprecht

Margaria

2016

Computational Science and Its Applications -- ICCSA 2016

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“…Additionally, wireless sensor networks can facilitate transparent and efficient transfer of sensor resources, hence reducing turnaround time between data collection and analysis, and visualization of the results. The ability of sensors, particularly those deployed under the "breed" of wireless sensor networks (WSN) [6], to dynamically capture spatio-temporal characteristics of the systems at hand and to transfer the information in real-time also raises the question on the suitability of traditional methods in model specification [7] and geospatial analysis. One suggestion to efficient utilization of sensor resources has been to shift from centralized, desktop-based applications towards a distributed web-based geospatial services [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…The ability of sensors, particularly those deployed under the "breed" of wireless sensor networks (WSN) [6], to dynamically capture spatio-temporal characteristics of the systems at hand and to transfer the information in real-time also raises the question on the suitability of traditional methods in model specification [7] and geospatial analysis. One suggestion to efficient utilization of sensor resources has been to shift from centralized, desktop-based applications towards a distributed web-based geospatial services [5,6]. This has led to extensive interest and research with an aim of developing open standards to facilitate a standardized means of implementation, documentation, discovery, and access of sensor oriented services [7,8].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Agent-Based Model of Homing Pigeons: A Genetic Algorithm Approach

Oloo

Wallentin

2017

IJGI

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Conventionally, agent-based modelling approaches start from a conceptual model capturing the theoretical understanding of the systems of interest. Simulation outcomes are then used "at the end" to validate the conceptual understanding. In today's data rich era, there are suggestions that models should be data-driven. Data-driven workflows are common in mathematical models. However, their application to agent-based models is still in its infancy. Integration of real-time sensor data into modelling workflows opens up the possibility of comparing simulations against real data during the model run. Calibration and validation procedures thus become automated processes that are iteratively executed during the simulation. We hypothesize that incorporation of real-time sensor data into agent-based models improves the predictive ability of such models. In particular, that such integration results in increasingly well calibrated model parameters and rule sets. In this contribution, we explore this question by implementing a flocking model that evolves in real-time. Specifically, we use genetic algorithms approach to simulate representative parameters to describe flight routes of homing pigeons. The navigation parameters of pigeons are simulated and dynamically evaluated against emulated GPS sensor data streams and optimised based on the fitness of candidate parameters. As a result, the model was able to accurately simulate the relative-turn angles and step-distance of homing pigeons. Further, the optimised parameters could replicate loops, which are common patterns in flight tracks of homing pigeons. Finally, the use of genetic algorithms in this study allowed for a simultaneous data-driven optimization and sensitivity analysis.

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“…These applications are supported by storage units, processing units, connected together in a network [37,38,39]. Examples include human genome mapping [28], high energy particle physics and astronomy [1,19], and climate change modeling [23]. In such applications, a very large amount of data sets are generated and accessed by scientists worldwide.…”

Section: Introductionmentioning

confidence: 99%

Data Replication in Data Intensive Scientific Applications with Performance Guarantee

Nukarapu

Tang

Wang

et al. 2011

IEEE Trans. Parallel Distrib. Syst.

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From stand-alone programs towards grid-aware services and components: a case study in agricultural modelling with interpolated climate data

Cited by 37 publications

References 47 publications

Constraints-Driven Automatic Geospatial Service Composition: Workflows for the Analysis of Sea-Level Rise Impacts

Constraints-Driven Automatic Geospatial Service Composition: Workflows for the Analysis of Sea-Level Rise Impacts

An Adaptive Agent-Based Model of Homing Pigeons: A Genetic Algorithm Approach

Data Replication in Data Intensive Scientific Applications with Performance Guarantee

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