A modeling framework for product development process considering its characteristics

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Code generation is an effective way to drive the complex system development in model-based systems engineering. Currently, different code generators are developed for different modeling languages to deal with the development of systems with multi-domain. T ...

During the design phase of an aircraft manufacturing system, different industrial scenarios need to be evaluated according to key performance indicators to achieve the optimal system performance. It is a highly complex process involving multidisciplinary s ...

As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, health monitoring, decision and policy making, and more, by comprehensively mo ...

We propose a new modelling approach for daily activity scheduling which integrates the different daily scheduling choice dimensions (activity participation, location, schedule, duration and transportation mode) into a single optimisation problem. The funda ...

We present a frequency-domain modeling technique for second-order nonlinear metasurfaces. The technique is derived from the generalized sheet transition conditions (GSTCs), which have been so far mostly used for modeling linear metasurfaces. In this work, ...

In the Digital Age, the analysis and exploration of unstructured document collections is of central importance to members of investigative professions, whether they might be scholars, journalists, paralegals, or analysts. In many of their domains, entities ...

Urban sustainability is today commonly considered to be a crucial determinant of global sustainable development, and indicator-based assessments represent a popular means of operationalizing this complex concept. An important aspect of these assessments co ...

Virtual metrology (VM) involves estimating a product's quality directly from production process data without physically measuring it. This enables the product quality of each unit of production to be monitored in real time, while preserving the process eff ...

Modeling in neuroscience occurs at the intersection of different points of view and approaches. Typically, hypothesis-driven modeling brings a question into focus so that a model is constructed to investigate a specific hypothesis about how the system work ...

Unstructured neural network pruning algorithms have achieved impressive compression ratios. However, the resulting-typically irregular-sparse matrices hamper efficient hardware implementations, leading to additional memory usage and complex control logic t ...

In this thesis, we present a theory of value for the design and analysis of service ecosystems. The theory is based on general systems thinking. The concept of a system is used for relating knowledge from different disciplines (such as software engineering ...

For many environmental processes, recent studies have shown that the dependence strength is decreasing when quantile levels increase. This implies that the popular max-stable models are inadequate to capture the rate of joint tail decay, and to estimate jo ...

A modeling framework for product development process considering its characteristics

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Code Generation Approach Supporting Complex System Modeling based on Graph Pattern Matching

A semantic-driven tradespace framework to accelerate aircraft manufacturing system design

A comprehensive review of digital twin - part 1: modeling and twinning enabling technologies

Capturing trade-offs between daily scheduling choices

Modeling of second-order nonlinear metasurfaces

ECCE: Entity-centric Corpus Exploration Using Contextual Implicit Networks

Conceptual frameworks in indicator‐based assessments of urban sustainability—An analysis based on 67 initiatives

Virtual metrology as an approach for product quality estimation in Industry 4.0: a systematic review and integrative conceptual framework

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities

A Theory of Value for Service Ecosystems

Max-infinitely divisible models and inference for spatial extremes