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Abstract: “Hey AI, show me the money!” Sure, the impact of AI on industries and society is huge. However, we are still waiting for that steady stream of lucrative success stories in industrial artificial intelligence (AI)....
Abstract: Deep Neural Networks (DNNs) are now widely adopted to solve various problems ranging from speech recognition to image classification. Since DNNs demand a large amount of processing power, their implementation on hardware, i.e., FPGA or ASIC, has received much attention. High-level synthesis is widely used since it significantly boosts productivity and flexibility and requires minimal hardware know...
Abstract: With the advent of smart industry, Industrial Control Systems (ICS) are increasingly using Cloud, IoT, and other services to meet Industry 4.0 targets. The connectivity inherent in these services exposes such systems to increased cybersecurity risks. To protect ICSs against cyberattacks, intrusion detection systems and intrusion prevention systems empowered by machine learning are used to detect a...
Abstract: Software is the main driver of added-value in many of the systems that surround us. While its complexity is increasing, so is the diversity of systems driven by software. To meet the challenges emerging from this combination, it is necessary to mobilize increasingly large and heterogeneous multidisciplinary teams, comprising software experts, as well as experts from various domains related to the ...
Abstract: Open-source software has numerous advantages over proprietary commercial-off-the-shelf (COTS) software. However, there are modeling languages, tool chains, and tool frameworks that are developed and maintained in an open-source manner but still incorporate COTS tools. Such an incorporation of COTS tools into an overall open-source approach completely annihilates the actual open-source advantages a...
Abstract: This work addresses the impact of best-effort traffic on network-dependent real-time functions in distributed control systems. Motivated by the increased Ethernet use in real-time dependent domains, such as the automation industry, a growth driven by Industry 4.0, interconnectivity desires, and data thirst. Ethernet allows different network-based functions to converge on one physical network infra...
Abstract: When developing products or performing experimental research studies, the simulation of physical or logical systems is of great importance for evaluation and verification purposes. For research-, and development-related distributed control systems, there is a need to simulate common physical environments with separate interconnected modules independently controlled, and orchestrated using standard...
Abstract: Cyber-Physical Systems (CPS) are becoming ubiquitous in many different domains, for example, in the form of Unmanned Aerial Vehicles (UAVs), (semi-)autonomous systems, or robotic applications. Given that CPS frequently operate in a safety-critical context, and interact and collaborate with humans, ensuring that these systems behave as intended and adhere to their specified security and safety requ...
Abstract: Data gathering using mobile sink (MS) based on rendezvous points (RPs) is a need in several Internet of Things (IoT) applications. However, devising energy-efficient and reliable tour planning strategies for MS is a challenging issue, considering that sensors have finite buffer space and disparate sensing rates. This is even more challenging in delay-tolerant networks, where it is more desirable t...
Abstract: Univariate analysis used to calculate OR. Data collected a (Explorys, factors and which are components of metabolic syndrome lead to worse outcomes in COVID-19 Patients. associatedfattyliverdisease(MAFLD)isahepaticmanifestationofmetabolicsyndrome.Non-alcoholicfattyliverdisease(NAFLD)andMAFLDlikeObesity,theseliverdiseasesareontheriseandarecurrently estimated to a ff ect around 25% of the US populati...
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