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  • 1
    In: Engineering Optimization, Informa UK Limited, Vol. 49, No. 4 ( 2017-04-03), p. 565-582
    Type of Medium: Online Resource
    ISSN: 0305-215X , 1029-0273
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2029191-7
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  • 2
    In: JOM, Springer Science and Business Media LLC, Vol. 67, No. 1 ( 2015-1), p. 94-107
    Type of Medium: Online Resource
    ISSN: 1047-4838 , 1543-1851
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2015
    detail.hit.zdb_id: 2002726-6
    SSG: 19,1
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  • 3
    In: Journal of Mechanical Design, ASME International
    Abstract: In this paper, we adapt computational design approaches, widely used by the engineering design community, to address the unique challenges associated with mission design using RTS games. Specifically, we present a modeling approach that combines experimental design techniques, meta-modeling using convolutional neural networks (CNNs), uncertainty quantification, and explainable AI (XAI). We illustrate the approach using an open-source real-time strategy (RTS) game called microRTS. The modeling approach consists of microRTS player agents (bots), design of experiments that arranges games between identical agents with asymmetric initial conditions, and an AI infused layer comprising CNNs, XAI, and uncertainty analysis through Monte Carlo Dropout Network analysis that allows analysis of game balance. A sample balanced game and corresponding predictions and SHapley Additive exPlanations (SHAP) are presented in this study. Three additional perturbations were introduced to this balanced gameplay and the observations about important features of the game using SHAP are presented. Our results show that this analysis can successfully predict probability of win for self-play microRTS games, as well as capture uncertainty in predictions that can be used to guide additional data collection to improve the model, or refine the game balance measure.
    Type of Medium: Online Resource
    ISSN: 1050-0472 , 1528-9001
    Language: English
    Publisher: ASME International
    Publication Date: 2021
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  • 4
    Online Resource
    Online Resource
    ASME International ; 2018
    In:  Journal of Computing and Information Science in Engineering Vol. 18, No. 3 ( 2018-09-01)
    In: Journal of Computing and Information Science in Engineering, ASME International, Vol. 18, No. 3 ( 2018-09-01)
    Type of Medium: Online Resource
    ISSN: 1530-9827 , 1944-7078
    Language: English
    Publisher: ASME International
    Publication Date: 2018
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  • 5
    Online Resource
    Online Resource
    ASME International ; 2018
    In:  Journal of Computing and Information Science in Engineering Vol. 18, No. 1 ( 2018-03-01)
    In: Journal of Computing and Information Science in Engineering, ASME International, Vol. 18, No. 1 ( 2018-03-01)
    Abstract: The design of complex engineering systems requires that the problem is decomposed into subproblems of manageable size. From the perspective of decision-based design (DBD), typically this results in a set of hierarchical decisions. It is critically important for computational frameworks for engineering system design to be able to capture and document this hierarchical decision-making knowledge for reuse. Ontology is a formal knowledge modeling scheme that provides a means to structure engineering knowledge in a retrievable, computer-interpretable, and reusable manner. In our earlier work, we have created ontologies to represent individual design decisions (selection and compromise). Here, we extend the selection and compromise decision ontologies to an ontology for hierarchical decisions. This can be used to represent workflows with multiple decisions coupling together. The core of the proposed ontology includes the coupled decision support problem (DSP) construct, and two key classes, namely, Process that represents the basic hierarchy building blocks wherein the DSPs are embedded, and Interface to represent the DSP information flows that link different Processes to a hierarchy. The efficacy of the ontology is demonstrated using a portal frame design example. Advantages of this ontology are that it is decomposable and flexible enough to accommodate the dynamic evolution of a process along the design timeline.
    Type of Medium: Online Resource
    ISSN: 1530-9827 , 1944-7078
    Language: English
    Publisher: ASME International
    Publication Date: 2018
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  • 6
    Online Resource
    Online Resource
    ASME International ; 2019
    In:  Journal of Computing and Information Science in Engineering Vol. 19, No. 3 ( 2019-09-01)
    In: Journal of Computing and Information Science in Engineering, ASME International, Vol. 19, No. 3 ( 2019-09-01)
    Type of Medium: Online Resource
    ISSN: 1530-9827 , 1944-7078
    Language: English
    Publisher: ASME International
    Publication Date: 2019
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  • 7
    Online Resource
    Online Resource
    ASME International ; 2020
    In:  Journal of Computing and Information Science in Engineering Vol. 20, No. 5 ( 2020-10-01)
    In: Journal of Computing and Information Science in Engineering, ASME International, Vol. 20, No. 5 ( 2020-10-01)
    Abstract: We propose a method for ensuring traceability of metal goods in an efficient and secure manner that leverages data obtained from micrographs of a part’s surface that is instance specific (i.e., different for another instance of that same part). All stakeholders in modern supply chains face a growing need to ensure quality and trust in the goods they produce. Complex supply chains open many opportunities for counterfeiters, saboteurs, or other attackers to infiltrate supply networks, and existing methods for preventing such attacks can be costly, invasive, and ineffective. The proposed method extracts discriminatory-yet-robust intrinsic strings using features extracted from the two-point autocorrelation data of surface microstructures, as well as from local volume fraction data. By using a synthetic dataset of three-phase micrographs similar to those obtained from metal alloy systems using low-cost optical microscopy techniques, we discuss tailoring the method with respect to cost and security and discuss the performance of the method in the context of anticounterfeiting and how similar methods may be evaluated for performance. Cryptographic extensions of this methodology are also discussed.
    Type of Medium: Online Resource
    ISSN: 1530-9827 , 1944-7078
    Language: English
    Publisher: ASME International
    Publication Date: 2020
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  • 8
    Online Resource
    Online Resource
    ASME International ; 2023
    In:  Journal of Computing and Information Science in Engineering Vol. 23, No. 6 ( 2023-12-01)
    In: Journal of Computing and Information Science in Engineering, ASME International, Vol. 23, No. 6 ( 2023-12-01)
    Abstract: The digitization of manufacturing has transformed the product realization process across many industries, from aerospace and automotive to medicine and healthcare. While this progress has accelerated product development cycles and enabled designers to create products with previously unachievable complexity and precision, it has also opened the door to a broad array of unique security concerns, from theft of intellectual property to supply chain attacks and counterfeiting. To address these concerns, information embedding (e.g., watermarks and fingerprints) has emerged as a promising solution that enhances product security and traceability. Information embedding techniques involve storing unique and secure information within parts, making these parts easier to track and to verify for authenticity. However, a successful information embedding scheme requires information to be transmitted in physical parts both securely and in a way that is accessible to end sers. Ensuring these qualities introduces unique computational and engineering challenges. For instance, these qualities require the designer of the embedding scheme to have an accurate model of the cyber-physical processes needed to embed information during manufacturing and read it later in the product life cycle, as well as models of the phenomena that may degrade that information through natural wear-and-tear, or through adversarial attacks. This article discusses challenges and research opportunities for the engineering design and manufacturing community in developing methods for efficient information embedding in manufactured products.
    Type of Medium: Online Resource
    ISSN: 1530-9827 , 1944-7078
    Language: English
    Publisher: ASME International
    Publication Date: 2023
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  • 9
    Online Resource
    Online Resource
    ASME International ; 2009
    In:  Journal of Computing and Information Science in Engineering Vol. 9, No. 2 ( 2009-06-01)
    In: Journal of Computing and Information Science in Engineering, ASME International, Vol. 9, No. 2 ( 2009-06-01)
    Abstract: Design-processes for multiscale, multifunctional systems are inherently complex due to the interactions between scales, functional requirements, and the resulting design decisions. While complex design-processes that consider all interactions lead to better designs, simpler design-processes where some interactions are ignored are faster and resource efficient. In order to determine the right level of simplification of design-processes, designers are faced with the following questions: (a) How should complex design-processes be simplified without affecting the resulting product performance? (b) How can designers quantify and evaluate the appropriateness of different design-process alternatives? In this paper, the first question is addressed by introducing a method for determining the appropriate level of simplification of design-processes—specifically through decoupling of scales and decisions in a multiscale problem. The method is based on three constructs: interaction patterns to model design-processes, intervals to model uncertainty resulting from decoupling of scales and decisions, and value-of-information based metrics to measure the impact of simplification on the final design outcome. The second question is addressed by introducing a value-of-information based metric called the improvement potential for quantifying the appropriateness of design-process alternatives from the standpoint of product design requirements. The metric embodies quantitatively the potential for improvement in the achievement of product requirements by adding more information for design decision-making. The method is illustrated via a datacenter cooling system design example.
    Type of Medium: Online Resource
    ISSN: 1530-9827 , 1944-7078
    Language: English
    Publisher: ASME International
    Publication Date: 2009
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  • 10
    Online Resource
    Online Resource
    ASME International ; 2016
    In:  Journal of Computing and Information Science in Engineering Vol. 16, No. 1 ( 2016-03-01)
    In: Journal of Computing and Information Science in Engineering, ASME International, Vol. 16, No. 1 ( 2016-03-01)
    Abstract: Social media have recently been introduced into the arena of collaborative design as a new means for seamlessly gathering, processing, and sharing product design-related information. As engineering design processes are becoming increasingly distributed and collaborative, it is crucial to understand the communication and collaboration mechanism of engineers participating in such dispersed engineering processes. In particular, mapping initially disconnected design individuals and teams into an explicit social network is challenging. The objective of this paper is to propose a generic framework for investigating communication and collaboration mechanisms in social media-supported engineering design environments. Specifically, we propose an approach for measuring tie strengths in the context of distributed and collaborative design. We transform an implicit design network into an explicit and formal social network based on specific indices of tie strengths. We visualize the process of transforming customer needs to functional requirements, to design parameters, and to process variables using social network analysis (SNA). Specifically, by utilizing a specific index for tie strengths, we can quantitatively measure tie strengths in a design network. Based on the tie strengths, we can map an implicit design network into an explicit social network. Further, using the typical measures (e.g., centrality and cluster coefficient) in SNA, we can analyze the social network at both actor and systems levels and detect design communities with common design interests. We demonstrate the applicability of the framework by means of two examples. The contribution in this paper is a systematic and formal approach that helps gain new insights into communication and collaboration mechanisms in distributed and collaborative design.
    Type of Medium: Online Resource
    ISSN: 1530-9827 , 1944-7078
    Language: English
    Publisher: ASME International
    Publication Date: 2016
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