Madden, Kaci E Djurdjanovic, Dragan Deshpande, Ashish D
Published in
Sensors (Basel, Switzerland)
Current methods for evaluating fatigue separately assess intramuscular changes in individual muscles from corresponding alterations in movement output. The purpose of this study is to investigate if a system-based monitoring paradigm, which quantifies how the dynamic relationship between the activity from multiple muscles and force changes over tim...
Pavlovčič, Urban Arko, Peter Jezeršek, Matija
Published in
Sensors (Basel, Switzerland)
A method for simultaneous laser profilometer and hand-eye calibration in relation to an industrial robot as well as its implementation is presented. In contrast to other methods, the new calibration procedure requires the measurement of only one reference geometry to calculate all the transformation parameters. The reference geometry is measured wi...
Arferiandi, Yondha Dwika Caesarendra, Wahyu Nugraha, Herry
Published in
Sensors (Basel, Switzerland)
Heat rate of a combined cycle power plant (CCPP) is a parameter that is typically used to assess how efficient a power plant is. In this paper, the CCPP heat rate was predicted using an artificial neural network (ANN) method to support maintenance people in monitoring the efficiency of the CCPP. The ANN method used fuel gas heat input (P1), CO2 per...
Zhan, Jiawang Zhang, Fei Siahkouhi, Mohammad
Published in
Sensors (Basel, Switzerland)
This paper aims to present a method for quantitative damage identification of a simply supported beam, which integrates the frequency response function (FRF) and model updating. The objective function is established using the cross-signature assurance criterion (CSAC) indices of the FRFs between the measurement points and the natural frequency. The...
Elsisi, Mahmoud Tran, Minh-Quang Mahmoud, Karar Lehtonen, Matti Darwish, Mohamed M F
Published in
Sensors (Basel, Switzerland)
Worldwide, energy consumption and saving represent the main challenges for all sectors, most importantly in industrial and domestic sectors. The internet of things (IoT) is a new technology that establishes the core of Industry 4.0. The IoT enables the sharing of signals between devices and machines via the internet. Besides, the IoT system enables...
Meyer, Hugo Wei, Peter Jiang, Xiaofan
Published in
Sensors (Basel, Switzerland)
In this paper, we present HOMER, a cloud-based system for video highlight generation which enables the automated, relevant, and flexible segmentation of videos. Our system outperforms state-of-the-art solutions by fusing internal video content-based features with the user's emotion data. While current research mainly focuses on creating video summa...
Nurlan, Zhanserik Zhukabayeva, Tamara Othman, Mohamed
Published in
Sensors (Basel, Switzerland)
Wireless sensor networks (WSN) are networks of thousands of nodes installed in a defined physical environment to sense and monitor its state condition. The viability of such a network is directly dependent and limited by the power of batteries supplying the nodes of these networks, which represents a disadvantage of such a network. To improve and e...
Said, Abdel Mlak Yahyaoui, Aymen Abdellatif, Takoua
Published in
Sensors (Basel, Switzerland)
In critical Internet of Things (IoT) application domains, such as the Defense Industry and Healthcare, false alerts have many negative effects, such as fear, disruption of emergency services, and waste of resources. Therefore, an alert must only be sent if triggered by a correct event. Nevertheless, IoT networks are exposed to intrusions, which aff...
Alsharif, Maram Rawat, Danda B
Published in
Sensors (Basel, Switzerland)
Machine learning (ML) has been emerging as a viable solution for intrusion detection systems (IDS) to secure IoT devices against different types of attacks. ML based IDS (ML-IDS) normally detect network traffic anomalies caused by known attacks as well as newly introduced attacks. Recent research focuses on the functionality metrics of ML technique...
Huch, Sebastian Ongel, Aybike Betz, Johannes Lienkamp, Markus
Published in
Sensors (Basel, Switzerland)
Connected and autonomous vehicles (CAVs) could reduce emissions, increase road safety, and enhance ride comfort. Multiple CAVs can form a CAV platoon with a close inter-vehicle distance, which can further improve energy efficiency, save space, and reduce travel time. To date, there have been few detailed studies of self-driving algorithms for CAV p...