Recommendation functionality for smart data analytics toolbox to support choosing task-relevant data analytics tools

Though many enhancements are still possible and needed, data analytics software packages invaded all segments of industrial businesses. Since product designers are not specialized data analysts, an op- portunity of enhancement is to provide advice by smart data analytics toolboxes (SDATBs). For in- stance, SDATBs can provide guidance at...

Using data analytics to extract knowledge from middle-of-life product data

Data analytics needs dedicated tools, which are getting complex. In this paper we summarize the results of our literature research done with special attention to existing and potential future tools. The attention is paid mainly to processing big data, rather than to effective semantic processing of middle-of-life data (MoLD). The issue of...

Recommendation function for smart data analytics toolbox to support semantic merging of middle-of-life data streams

Continuous enhancements of connected products make them able to generate and communicate a huge amounts of middle-of-life data streams to their producers. This affordance also creates a challenge for current data analytics tools unable to keep up with the heterogeneous nature and characteristics of these type of data. Accordingly, a function...

A Review of the Principles of Designing Smart Cyber-Physical Systems for Run-Time Adaptation: Learned Lessons and Open Issues

Smart cyber-physical systems (S-CPSs) are complex engineered systems empowered by cyber-physical computing and equipped with the capability of reasoning, learning, adapting, and evolving. As an outcome of data-driven dynamic computing, reasoning capabilities, and the run-time obtained own knowledge, nonlinear and emergent behavior of S-CPSs...

What Does Data Analytics Offer for Extracting Knowledge from Middle-of-Life Product Data?

Companies are getting increasingly interested in learning how different customers use their products. Collecting data about the use of products provides useful insights and facilitates design enhancements. Effective data analytics needs dedicated tools. In this paper, we summarize the results of our literature research done with special...

Current State of Applying Smart Materials in Consumer Durables: A Literature Survey

Smart materials have drawn substantial attention and interest in a broad range of applications, due to their unique and superior characteristics. However there is a blurry image over the potential applications of smart materials in consumer durables. This has stalled further research and decision making in initiating the development of consumer...

Application of shape changing smart materials in household appliances: A fragmented and inconsistent uptake

Shape changing smart materials (SCSM) have a wide range of applications, supporting product functions through material features. Surprisingly, their application in consumer durables such as household appliances is not as expected. This phenomenon could be related to a possible SCSM knowledge gap among designers, or unidentified design...

Cyber-physical augmentation: An exploration

Ubiquitous technologies provide many product innovation opportunities for industrial design engineers, such as creating user centered cyber-physical systems with adaptive capabilities to individual users and environments. The exploration discussed in this paper aims to uncover needs to know for designers to successfully augment physical products...

Evaluation of a ubiquitous learning system in a design engineering environment

Ubiquitous computing is computing power that is integrated in devices and environments in such a way that they offer optimal support to human daily life activities. For industrial design engineering students, applying ubiquitous technologies offer a great opportunity and challenge for innovating everyday products. To teach the students about...