Web of Digital Twins

Emergence of Digital Twins

momentum because it may offer real-time transparency. Rapid diffusion of digital duplicates faces hurdles due to lack of semantic interoperability between architectures, standards and ontologies. The technologies necessary for automated discovery are in short supply. Progression of the field depends on convergence of information technology, operational technology and protocol-agnostic telecommu...

Sociological Impact of Using Digital (Web-based) Analyses on Performance Measurement and Optimization of Digital Marketing among Young Managers (Case study: Digital-based Companies in Tehran)

This research aims to study the effect of using digital (web-based) analyses in performance measurement and optimization of digital marketing in digital-based companies in Tehran. The data collection tool was a researcher-made questionnaire. A panel of experts and supervisor were asked to measure the validity of the questionnaire. For reliability analysis of this tool, Cronbach’s alpha test was...

A Comprehensive Approach to Implementing IoT Digital Twins

Extending Industrial Digital Twins with Optical Object Tracking

In the last year, the concept of Industry 4.0 and smart factories has increasingly gained more importance. One of the central aspects of this innovation is the coupling of physical systems with a corresponding virtual representation, known as the Digital Twin. This technology enables new powerful applications, such as real-time production optimization or advanced cloud services. To ensure the r...

Fraternal Twins: Unifying Attacks on Machine Learning and Digital Watermarking

Machine learning is increasingly used in security-critical applications, such as autonomous driving, face recognition and malware detection. Most learning methods, however, have not been designed with security in mind and thus are vulnerable to different types of attacks. This problem has motivated the research field of adversarial machine learning that is concerned with attacking and defending...