Search
CSV
RISQuantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Some of the challenges that designers face in getting broad external input from customers during and after product launch include geographic limitations and the need for physical interaction with the design artifact(s). ...
Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Lead users play a vital role in next generation product development, as they help designers discover relevant product feature preferences months or even years before they are desired by the general customer base. Existing ...
A Bayesian Sampling Method for Product Feature Extraction From Large Scale Textual Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The authors of this work propose an algorithm that determines optimal search keyword combinations for querying online product data sources in order to minimize identification errors during the product feature extraction ...
Modeling the Semantic Structure of Textually Derived Learning Content and its Impact on Recipients' Response States
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In the United States, the greatest decline in the number of students in the STEM education pipeline occurs at the university level, where students, who were initially interested in STEM fields, dropout or move on to other ...
Dynamic Rendering of Remote Indoor Environments Using Real-Time Point Cloud Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Modern color and depth (RGB-D) sensing systems are capable of reconstructing convincing virtual representations of real world environments. These virtual reconstructions can be used as the foundation for virtual reality ...
Automated Discovery of Product Feature Inferences Within Large-Scale Implicit Social Media Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Recently, social media has emerged as an alternative, viable source to extract large-scale, heterogeneous product features in a time and cost-efficient manner. One of the challenges of utilizing social media data to inform ...
Deep Reinforcement Learning for Procedural Content Generation of 3D Virtual Environments
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This work presents a deep reinforcement learning (DRL) approach for procedural content generation (PCG) to automatically generate three-dimensional (3D) virtual environments that users can interact with. The primary objective ...
Product Resynthesis: Knowledge Discovery of the Value of End of Life Assemblies and Subassemblies
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The trends of increasing waste and comparatively low growth of waste treatment methodologies have created the need for better utilization of the products we deem unfit for use. The options available for utilizing endoflife ...
An Unsupervised Machine Learning Approach to Assessing Designer Performance During Physical Prototyping
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: An important part of the engineering design process is prototyping, where designers build and test their designs. This process is typically iterative, time consuming, and manual in nature. For a given task, there are ...
Evaluating the Impact of Idea Dissemination Methods on Information Loss
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Information is transferred through a process consisting of an information source, a transmitter, a channel, a receiver, and its destination. Unfortunately, during the engineering design process, there is a risk of a design ...