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Searching Feasible Design Space by Solving Quantified Constraint Satisfaction Problems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In complex systems design, multidisciplinary constraints are imposed by stakeholders. Engineers need to search feasible design space for a given problem before searching for the optimum design solution. Searching feasible ...
Deriving Design Feature Vectors for Patent Images Using Convolutional Neural Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The patent database is often used by designers to search for inspirational stimuli for innovative design opportunities because of the large size, extensive variety, and the massive quantity of design information contained ...
Toward Understanding Sources and Influences of Design Fixation: A Focus on Example Stimuli and Background of Novice Designers
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Using examples to inspire designers to generate more innovative design solutions is a widely adopted methodology for design support, while inappropriate use of examples may simultaneously lead to design fixation. Once a ...
Mapping Novice Designer Behavior to Design Fixation in the Early-Stage Design Process
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In the engineering design process, design fixation significantly constrains the diversity of design solutions. Numerous studies have aimed to mitigate design fixation, yet determining its occurrence in real-time remains a ...
Sensitivity Analysis in Quantified Interval Constraint Satisfaction Problems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Interval is an alternative to probability distribution in quantifying uncertainty for sensitivity analysis (SA) when there is a lack of data to fit a distribution with good confidence. It only requires the information of ...
An Extended Kalman Filtering Mechanism Based on Generalized Interval Probability
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Kalman filter has been widely applied for state identification in controllable systems. As a special case of the hidden Markov model, it is based on the assumption of linear dependency relationships and Gaussian noise. The ...
Patent Data for Engineering Design: A Critical Review and Future Directions
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Patent data have long been used for engineering design research because of its large and expanding size and widely varying massive amount of design information contained in patents. Recent advances in artificial intelligence ...