Shuang Cang

TL;DR: This paper proposes an activity recognition and classification method for detection of Activities of Daily Livings of an elderly person using small, low-cost, non-intrusive non-stigmatize wrist worn sensors and demonstrates that the proposed method can achieve a high classification rate.

TL;DR: In this paper, the authors assess the link between dimensions of agile supply chain, competitive objectives and business performance in the UK North Sea upstream oil and gas industry and identify the most important dimensions and attributes of supply chain agility.

TL;DR: This paper aims at offering a viewpoint on best suitable management practices which can promote the climate of innovation and learning in the organization, and hence facilitate the business to match the pace of industry 4.0.

TL;DR: This survey aims to provide a more comprehensive introduction to Sensor-based human activity recognition (HAR) in terms of sensors, activities, data pre-processing, feature learning and classification, including both conventional approaches and deep learning methods.

TL;DR: In this article, the authors proposed a framework of management practices which can promote the environment of innovation and learning in an organization, and facilitate business to match the pace of Industry 4.0 by facilitating technology acceptance e.g., digital enhancements and implementation of cyber physical systems (CPS).