Blar i Publikasjoner fra CRIStin - NTNU på tidsskrift "Sensors"
Viser treff 1-20 av 137
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A Novel Friendly Jamming Scheme in Industrial Crowdsensing Networks against Eavesdropping Attack
(Journal article; Peer reviewed, 2018)Eavesdropping attack is one of the most serious threats in industrial crowdsensing networks. In this paper, we propose a novel anti-eavesdropping scheme by introducing friendly jammers to an industrial crowdsensing network. ... -
A physical activity reference data-set recorded from older adults using body-worn inertial sensors and video technology?The ADAPT study data-set
(Journal article; Peer reviewed, 2017)Physical activity monitoring algorithms are often developed using conditions that do not represent real-life activities, not developed using the target population, or not labelled to a high enough resolution to capture the ... -
A Survey of Design Considerations of Optical Imaging Stabilization Systems for Small Unmanned Aerial Systems
(Journal article; Peer reviewed, 2019)Optical imaging systems are one of the most common sensors used for collecting data with small Unmanned Aerial Systems (sUAS). Plenty of research exists which present custom-made optical imaging systems for specific missions. ... -
Acoustic-and Radio-Frequency-Based Human Activity Recognition
(Peer reviewed; Journal article, 2022)In this work, a hybrid radio frequency (RF)- and acoustic-based activity recognition system was developed to demonstrate the advantage of combining two non-invasive sensors in Human Activity Recognition (HAR) systems and ... -
An Adaptive Game-Based Learning Strategy for Children Road Safety Education and Practice in Virtual Space
(Peer reviewed; Journal article, 2021)Virtual reality (VR) has been widely used as a tool to assist people by letting them learn and simulate situations that are too dangerous and risky to practice in real life, and one of these is road safety training for ... -
An Adaptive Real-Time Malicious Node Detection Framework Using Machine Learning in Vehicular Ad-Hoc Networks (VANETs)
(Peer reviewed; Journal article, 2023)Modern vehicle communication development is a continuous process in which cutting-edge security systems are required. Security is a main problem in the Vehicular Ad Hoc Network (VANET). Malicious node detection is one of ... -
Addressing Challenges in Fabricating Reflection-2 Based Fiber Optic Interferometers
(Journal article; Peer reviewed, 2019)abrication of multimode fiber optic interferometers requires accurate control of certain parameters to obtain reproducible results. This paper evaluates the consequences of practical challenges in fabricating reflection-based, ... -
Adversarial Samples on Android Malware Detection Systems for IoT Systems
(Journal article; Peer reviewed, 2019)any IoT (Internet of Things) systems run Android systems or Android-like systems. With the continuous development of machine learning algorithms, the learning-based Android malware detection system for IoT devices has ... -
An Evaluation Framework for Spectral Filter Array Cameras to Optimize Skin Diagnosis
(Journal article; Peer reviewed, 2019)Comparing and selecting an adequate spectral filter array (SFA) camera is application-specific and usually requires extensive prior measurements. An evaluation framework for SFA cameras is proposed and three cameras are ... -
Analysis of 5G and LTE Signals for Opportunistic Navigation and Time Holdover
(Peer reviewed; Journal article, 2023)The purpose of this study was to evaluate the stability and therefore suitability of available fifth generation (5G) and long-term evolution (LTE) signals for positioning navigation and timing (PNT) purposes with particular ... -
Application-Oriented Retinal Image Models for Computer Vision
(Peer reviewed; Journal article, 2020)Energy and storage restrictions are relevant variables that software applications should be concerned about when running in low-power environments. In particular, computer vision (CV) applications exemplify well that ... -
ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems
(Peer reviewed; Journal article, 2022)Internet of Things (IoT) systems are complex systems that can manage mission-critical, costly operations or the collection, storage, and processing of sensitive data. Therefore, security represents a primary concern that ... -
Assessing Cyber Risks of an INS Using the MITRE ATT&CK Framework
(Journal article; Peer reviewed, 2022)Shipping performed by contemporary vessels is the backbone of global trade. Modern vessels are equipped with many computerized systems to enhance safety and operational efficiency. One such system developed is the integrated ... -
Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data
(Journal article; Peer reviewed, 2018)The automatic classification of sub-techniques in classical cross-country skiing provides unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is currently possible due to the miniaturization ... -
Automatic Verification and Execution of Cyber Attack on IoT Devices
(Journal article; Peer reviewed, 2023) -
Autonomous unmanned aerial vehicles in search and rescue missions using real-time cooperative model predictive control
(Journal article; Peer reviewed, 2019)Unmanned Aerial Vehicles (UAVs) have recently been used in a wide variety of applications due to their versatility, reduced cost, rapid deployment, among other advantages. Search and Rescue (SAR) is one of the most prominent ... -
Autonomous Unmanned Aerial Vehicles in Search and Rescue Missions Using Real-Time Cooperative Model Predictive Control
(Journal article; Peer reviewed, 2019)Unmanned Aerial Vehicles (UAVs) have recently been used in a wide variety of applications due to their versatility, reduced cost, rapid deployment, among other advantages. Search and Rescue (SAR) is one of the most prominent ... -
Big data workflows: Locality-aware orchestration using software containers
(Journal article; Peer reviewed, 2021)The emergence of the Edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. Therefore, data processing solutions must consider ... -
Blind Quality Assessment of Iris Images Acquired in Visible Light for Biometric Recognition
(Journal article; Peer reviewed, 2020)Image quality is a key issue affecting the performance of biometric systems. Ensuring the quality of iris images acquired in unconstrained imaging conditions in visible light poses many challenges to iris recognition ... -
Bridge Displacement Estimation Using a Co-Located Acceleration and Strain
(Journal article; Peer reviewed, 2020)Structural displacement is an important metric for assessing structural conditions because it has a direct relationship with the structural stiffness. Many bridge displacement measurement techniques have been developed, ...