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Abstrakt
This paper proposes a new design pattern, named Scoreboard , dedicated for applications solving complex, multi-stage, non-deterministic problems. The pattern provides a computational framework for the design and implementation of systems that integrate a large number of diverse specialized modules that may vary in accuracy, solution level, and modality. The Scoreboard is an extension of Blackboard design pattern and comes under behavioral type. The pattern allows for an integration of multimodal results, employing early, and/or late fusion paradigms. Additionally, it provides a framework for the evaluation of the modules, dealing with inconsistency and low accuracy. In this paper, the Scoreboard design pattern is described with the standard meta-data model, followed by a sample implementation. This paper also provides the evaluation results based on experiments and a case study. The evaluation results confirmed the robustness, modularization, ease of integration, efficiency, and adaptability of the solutions with the Scoreboard pattern in comparison with the Blackboard pattern and ‘‘no pattern’’ condition. This paper provides also a case study of Scoreboard application in an integration of emotion recognition results. There are certain complex problems in modern software engineering which require multi-stage, multi-party, multi-modal solutions, and non-deterministic control strategies. Among those are natural language processing, image processing, and emotion recognition, to name just a few. The proposed Scoreboard pattern might be used in the software addressing the problems, especially in research systems that explore large solution spaces and require runtime decisions on execution order.
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Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuł w czasopiśmie wyróżnionym w JCR
- Opublikowano w:
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IEEE Access
nr 7,
strony 7228 - 7249,
ISSN: 2169-3536 - Język:
- angielski
- Rok wydania:
- 2019
- Opis bibliograficzny:
- Landowska A., Brodny G.: Scoreboard Architectural Pattern and Integration of Emotion Recognition Results// IEEE Access. -Vol. 7, (2019), s.7228-7249
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1109/access.2018.2889557
- Źródła finansowania:
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- Projekt Metody i narzędzia przetwarzania stanów emocjonalnych dla inteligentnych systemów edukacyjnych (Methods and tools for affect-aware Intelligent Tutoring Systems)
- Działalność statutowa/subwencja
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 183 razy