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Computers, Volume 4, Issue 1 (March 2015) – 4 articles , Pages 1-60

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Open AccessArticle
FoamVis, A Visualization System for Foam Research: Design and Implementation
Computers 2015, 4(1), 39-60; https://doi.org/10.3390/computers4010039 - 20 Mar 2015
Viewed by 4995
Abstract
Liquid foams are used in areas such as mineral separation, oil recovery, food and beverage production, sanitation and fire fighting. To improve the quality of products and the efficiency of processes in these areas, foam scientists wish to understand and control foam behaviour. [...] Read more.
Liquid foams are used in areas such as mineral separation, oil recovery, food and beverage production, sanitation and fire fighting. To improve the quality of products and the efficiency of processes in these areas, foam scientists wish to understand and control foam behaviour. To this end, foam scientists have used foam simulations to model foam behaviour; however, analysing these simulations presents difficult challenges. We describe the main foam research challenges and present the design of FoamVis, the only existing visualization, exploration and analysis application created to address them. We describe FoamVis’ main features, together with relevant design and implementation notes. Our goal is to provide a global overview and individual feature implementation details that would allow a visualization scientist to extend the FoamVis system with new algorithms and adapt it to new requirements. The result is a detailed presentation of the software that is not provided in previous visualization research papers. Full article
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Open AccessArticle
Design of a Flow Visualisation Framework
Computers 2015, 4(1), 24-38; https://doi.org/10.3390/computers4010024 - 13 Mar 2015
Cited by 2 | Viewed by 4445
Abstract
Research software often consists of individual, isolated prototype applications. Small proof of concept applications are usually enough for demonstrating new algorithms. However, the unification of new research algorithms into a cohesive software framework has advantages. Adding new features to an existing pipeline reduces [...] Read more.
Research software often consists of individual, isolated prototype applications. Small proof of concept applications are usually enough for demonstrating new algorithms. However, the unification of new research algorithms into a cohesive software framework has advantages. Adding new features to an existing pipeline reduces implementation overhead. The researcher is more able to compare and contrast existing or previous work with new research. Utilizing previously implemented techniques, researchers are able to combine visualization options in new ways that typical research prototypes cannot. The software application can be made available to the domain expert for evaluation and future use. These goals are in part realized by utilizing recent advancements in game design technology and by leveraging features available with recent graphics hardware. Described is the design of a feature-rich flow visualization software framework in more detail than a typical research paper. In contrast to most research prototypes, the system we present handles real-world simulation datasets by interfacing directly with the commercial package called tecplot. We present a description of our system in detail, whereas previously published work focuses on the research contribution. The effectiveness and scalability of the approach is also discussed. Full article
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Open AccessArticle
A Hybrid Autonomic Computing-Based Approach to Distributed Constraint Satisfaction Problems
Computers 2015, 4(1), 2-23; https://doi.org/10.3390/computers4010002 - 13 Mar 2015
Cited by 1 | Viewed by 7128
Abstract
Distributed constraint satisfaction problems (DisCSPs) are among the widely endeavored problems using agent-based simulation. Fernandez et al. formulated sensor and mobile tracking problem as a DisCSP, known as SensorDCSP In this paper, we adopt a customized ERE (environment, reactive rules and entities) algorithm [...] Read more.
Distributed constraint satisfaction problems (DisCSPs) are among the widely endeavored problems using agent-based simulation. Fernandez et al. formulated sensor and mobile tracking problem as a DisCSP, known as SensorDCSP In this paper, we adopt a customized ERE (environment, reactive rules and entities) algorithm for the SensorDCSP, which is otherwise proven as a computationally intractable problem. An amalgamation of the autonomy-oriented computing (AOC)-based algorithm (ERE) and genetic algorithm (GA) provides an early solution of the modeled DisCSP. Incorporation of GA into ERE facilitates auto-tuning of the simulation parameters, thereby leading to an early solution of constraint satisfaction. This study further contributes towards a model, built up in the NetLogo simulation environment, to infer the efficacy of the proposed approach. Full article
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Open AccessEditorial
Acknowledgement to Reviewers of Computers in 2014
Computers 2015, 4(1), 1; https://doi.org/10.3390/computers4010001 - 09 Jan 2015
Cited by 1 | Viewed by 3371
Abstract
The editors of Computers would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2014:[...] Full article
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