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Sensors, Volume 22, Issue 15

2022 August-1 - 465 articles

Cover Story: In this work, an interpretable, passive, multi-modal, sensor fusion system PRF-PIR is proposed to provide reliable human identification and activity recognition (HIAR). The proposed PRF-PIR system is validated for a potential human monitoring system through the data collection of eleven activities from twelve human subjects in an academic office environment. The results of the system are supported with explainable artificial intelligence (XAI) methodologies to serve as a validation for sensor fusion over the deployment of single sensor solutions, achieving an accuracy of 0.9866 for human identification and 0.9623 for activity recognition. PRF-PIR provides a passive, non-intrusive, and highly accurate system that allows for robustness in uncertain, highly similar, and complex at-home activities performed by a variety of human subjects. View this paper
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Articles (465)

  • Article
  • Open Access
9 Citations
5,513 Views
14 Pages

8 August 2022

Apache Spark is a popular open-source distributed data processing framework that can efficiently process massive amounts of data. It provides more than 180 configuration parameters for users to manually select the appropriate parameter values accordi...

  • Communication
  • Open Access
1 Citations
2,426 Views
9 Pages

8 August 2022

Non-specific binding (NSB) is one of the important issues in biosensing performance. Herein, we designed a strategy for removing non-specific binding including anti-mouse IgG antibody and bovine serum albumin (BSA) by utilizing anisotropic cadmium se...

  • Article
  • Open Access
15 Citations
4,945 Views
10 Pages

8 August 2022

Hydrogen sulfide (H2S) is known to participate in bacteria-induced inflammatory response in periodontal diseases. Therefore, it is necessary to quantify H2S produced by oral bacteria for diagnosis and treatment of oral diseases including halitosis an...

  • Review
  • Open Access
11 Citations
4,566 Views
14 Pages

Perturbations during Gait: A Systematic Review of Methodologies and Outcomes

  • Zoe Taylor,
  • Gregory S. Walsh,
  • Hannah Hawkins,
  • Mario Inacio and
  • Patrick Esser

8 August 2022

Background: Despite extensive literature regarding laboratory-based balance perturbations, there is no up-to-date systematic review of methods. This systematic review aimed to assess current perturbation methods and outcome variables used to report p...

  • Article
  • Open Access
19 Citations
3,996 Views
21 Pages

Data Collection from Buried Sensor Nodes by Means of an Unmanned Aerial Vehicle

  • Christophe Cariou,
  • Laure Moiroux-Arvis,
  • François Pinet and
  • Jean-Pierre Chanet

8 August 2022

The development of Wireless Underground Sensor Networks (WUSNs) is a recent research axis based on sensor nodes buried a few dozen centimeters deep. The communication ranges are, however, highly reduced due to the high attenuation of electromagnetic...

  • Article
  • Open Access
14 Citations
4,835 Views
17 Pages

8 August 2022

In this paper, we proposed an accurate and robust method for absolute pose estimation with UAV (unmanned aerial vehicle) using RANSAC (random sample consensus). Because the artificial 3D control points with high accuracy are time-consuming and the sm...

  • Article
  • Open Access
9 Citations
3,130 Views
14 Pages

8 August 2022

Mobile communication has achieved enormous technology innovations over many generations of progression. New cellular technology, including 5G cellular systems, is being deployed and making use of higher frequencies, including the Millimetre Wave (MMW...

  • Article
  • Open Access
12 Citations
3,500 Views
25 Pages

8 August 2022

This paper introduces a Hexa parallel robot and obstacle collision detection method based on dynamic modeling and a computer vision system. The processes to deal with the collision issues refer to collision detection, collision isolation, and collisi...

  • Article
  • Open Access
12 Citations
4,295 Views
14 Pages

Alpine Skiing Activity Recognition Using Smartphone’s IMUs

  • Behrooz Azadi,
  • Michael Haslgrübler,
  • Bernhard Anzengruber-Tanase,
  • Stefan Grünberger and
  • Alois Ferscha

8 August 2022

Many studies on alpine skiing are limited to a few gates or collected data in controlled conditions. In contrast, it is more functional to have a sensor setup and a fast algorithm that can work in any situation, collect data, and distinguish alpine s...

  • Article
  • Open Access
69 Citations
7,670 Views
16 Pages

A Novel Decentralized Blockchain Architecture for the Preservation of Privacy and Data Security against Cyberattacks in Healthcare

  • Ajitesh Kumar,
  • Akhilesh Kumar Singh,
  • Ijaz Ahmad,
  • Pradeep Kumar Singh,
  • Anushree,
  • Pawan Kumar Verma,
  • Khalid A. Alissa,
  • Mohit Bajaj,
  • Ateeq Ur Rehman and
  • Elsayed Tag-Eldin

8 August 2022

Nowadays, in a world full of uncertainties and the threat of digital and cyber-attacks, blockchain technology is one of the major critical developments playing a vital role in the creative professional world. Along with energy, finance, governance, e...

  • Article
  • Open Access
145 Citations
17,933 Views
35 Pages

8 August 2022

Digital twins (DTs) play a vital role in revolutionising the healthcare industry, leading to more personalised, intelligent, and proactive healthcare. With the evolution of personalised healthcare, there is a significant need to represent a virtual r...

  • Article
  • Open Access
33 Citations
6,113 Views
14 Pages

Classification of Building Damage Using a Novel Convolutional Neural Network Based on Post-Disaster Aerial Images

  • Zhonghua Hong,
  • Hongzheng Zhong,
  • Haiyan Pan,
  • Jun Liu,
  • Ruyan Zhou,
  • Yun Zhang,
  • Yanling Han,
  • Jing Wang,
  • Shuhu Yang and
  • Changyue Zhong

8 August 2022

The accurate and timely identification of the degree of building damage is critical for disaster emergency response and loss assessment. Although many methods have been proposed, most of them divide damaged buildings into two categories—intact...

  • Article
  • Open Access
9 Citations
3,968 Views
15 Pages

Determination of Bio-Based Fertilizer Composition Using Combined NIR and MIR Spectroscopy: A Model Averaging Approach

  • Khan Wali,
  • Haris Ahmad Khan,
  • Mark Farrell,
  • Eldert J. Van Henten and
  • Erik Meers

8 August 2022

Application of bio-based fertilizers is considered a practical solution to enhance soil fertility and maintain soil quality. However, the composition of bio-based fertilizers needs to be quantified before their application to the soil. Non-destructiv...

  • Article
  • Open Access
1 Citations
3,176 Views
14 Pages

8 August 2022

In the Long Term Evolution (LTE) system, the Signal Propagation Model (SPM) and the location information of the base stations are required for positioning a smartphone. To this end, this paper proposes a technique for estimating the SPM and the locat...

  • Communication
  • Open Access
1 Citations
2,657 Views
10 Pages

A Salinity–Temperature Sensor Based on Microwave Resonance Reflection

  • Darek J. Bogucki,
  • Tom Snowdon,
  • Jennifer C. Doerr and
  • Joseph E. Serafy

8 August 2022

We developed and tested a microwave in situ salinity sensor (MiSSo) to simultaneously measure salinity and temperature within the same water sample over broad ranges of salinity (S) (3–50 psu) and temperature (T) (3–30 °C). Modern aqu...

  • Article
  • Open Access
2 Citations
3,144 Views
19 Pages

8 August 2022

A multiscale modelling approach has been applied to the simulation of the electrical properties of oral tissue, for the purpose of informing an electrical impedance-based method of oral potential malignant disorder (OPMD) diagnosis. Finite element mo...

  • Article
  • Open Access
16 Citations
3,617 Views
19 Pages

8 August 2022

Vehicle seats have a significant impact on the comfort of passengers. The development of seats is a field in which scholars are widely concerned. In this study, we add an electromagnetic levitation structure and design a new active seat suspension ba...

  • Article
  • Open Access
1 Citations
2,421 Views
13 Pages

8 August 2022

Fragment kinetic energy is an important parameter to characterize the damage power of fragments. In this study, an acoustic emission technology-based method to evaluate fragment kinetic energy is proposed. The dynamic response of the fragment impacti...

  • Communication
  • Open Access
7 Citations
3,251 Views
8 Pages

A High-Sensitivity Gravimetric Biosensor Based on S1 Mode Lamb Wave Resonator

  • Tiancheng Luo,
  • Wenjuan Liu,
  • Zhiwei Wen,
  • Ying Xie,
  • Xin Tong,
  • Yao Cai,
  • Yan Liu and
  • Chengliang Sun

8 August 2022

The development of MEMS acoustic resonators meets the increasing demand for in situ detection with a higher performance and smaller size. In this paper, a lithium niobate film-based S1 mode Lamb wave resonator (HF-LWR) for high-sensitivity gravimetri...

  • Article
  • Open Access
23 Citations
6,210 Views
14 Pages

Piezoelectric Energy Harvesting from Low-Frequency Vibrations Based on Magnetic Plucking and Indirect Impacts

  • Michele Rosso,
  • Alessandro Nastro,
  • Marco Baù,
  • Marco Ferrari,
  • Vittorio Ferrari,
  • Alberto Corigliano and
  • Raffaele Ardito

8 August 2022

This work proposes a mono-axial piezoelectric energy harvester based on the innovative combination of magnetic plucking and indirect impacts, e.g., impacts happening on the package of the harvester. The harvester exploits a permanent magnet placed on...

  • Article
  • Open Access
16 Citations
4,256 Views
21 Pages

CLSQL: Improved Q-Learning Algorithm Based on Continuous Local Search Policy for Mobile Robot Path Planning

  • Tian Ma,
  • Jiahao Lyu,
  • Jiayi Yang,
  • Runtao Xi,
  • Yuancheng Li,
  • Jinpeng An and
  • Chao Li

8 August 2022

How to generate the path planning of mobile robots quickly is a problem in the field of robotics. The Q-learning(QL) algorithm has recently become increasingly used in the field of mobile robot path planning. However, its selection policy is blind in...

  • Article
  • Open Access
3 Citations
3,179 Views
25 Pages

A Chaotic Compressive Sensing Based Data Transmission Method for Sensors within BBNs

  • Wei Wu,
  • Haipeng Peng,
  • Fenghua Tong,
  • Lixiang Li and
  • Binzhu Xie

7 August 2022

Body to body networks (BBNs) are a kind of large-scaled sensor network that are composed of several wireless body area networks (WBANs) in the distributed structure, and in recent decades, BBNs have played a key role in medical, aerospace, and milita...

  • Article
  • Open Access
13 Citations
4,307 Views
21 Pages

Two-Stage Channel Estimation for Semi-Passive RIS-Assisted Millimeter Wave Systems

  • Chengzuo Peng,
  • Honggui Deng,
  • Haoqi Xiao,
  • Yuyan Qian,
  • Wenjuan Zhang and
  • Yinhao Zhang

7 August 2022

In a reconfigurable intelligent surface (RIS) assisted millimeter Wave (mmWave) communication system, the channel coefficient increases exponentially with the number of RIS elements which results in expensive pilot overhead. Most previous works have...

  • Article
  • Open Access
3 Citations
3,139 Views
16 Pages

7 August 2022

The development of synthetic biology has enabled massive progress in biotechnology and in approaching research questions from a brand-new perspective. In particular, the design and study of gene regulatory networks in vitro, in vivo, and in silico ha...

  • Article
  • Open Access
1 Citations
2,604 Views
15 Pages

Spatial–Spectral Constrained Adaptive Graph for Hyperspectral Image Clustering

  • Xing-Hui Zhu,
  • Yi Zhou,
  • Meng-Long Yang and
  • Yang-Jun Deng

7 August 2022

Hyperspectral image (HSI) clustering is a challenging task, whose purpose is to assign each pixel to a corresponding cluster. The high-dimensionality and noise corruption are two main problems that limit the performance of HSI clustering. To address...

  • Article
  • Open Access
16 Citations
4,170 Views
21 Pages

7 August 2022

The essential factors of information-aware systems are heterogeneous multi-sensory devices. Because of the ambiguity and contradicting nature of multi-sensor data, a data-fusion method based on the cloud model and improved evidence theory is proposed...

  • Article
  • Open Access
10 Citations
4,984 Views
15 Pages

7 August 2022

In this research, a microfluid-based extended gate field-effect transistor (EGFET) biosensor with an on-chip sensing window (OCSW) was fabricated. The detection window was composed of six metal layers, and a ruthenium dioxide (RuO2) film was spattere...

  • Article
  • Open Access
50 Citations
8,046 Views
25 Pages

YOLOv5-AC: Attention Mechanism-Based Lightweight YOLOv5 for Track Pedestrian Detection

  • Haohui Lv,
  • Hanbing Yan,
  • Keyang Liu,
  • Zhenwu Zhou and
  • Junjie Jing

7 August 2022

In response to the dangerous behavior of pedestrians roaming freely on unsupervised train tracks, the real-time detection of pedestrians is urgently required to ensure the safety of trains and people. Aiming to improve the low accuracy of railway ped...

  • Article
  • Open Access
24 Citations
5,711 Views
15 Pages

7 August 2022

The Industrial Internet of Things (IIoT) connects industrial assets to ubiquitous smart sensors and actuators to enhance manufacturing and industrial processes. Data-driven condition monitoring is an essential technology for intelligent manufacturing...

  • Article
  • Open Access
12 Citations
3,829 Views
12 Pages

Towards Real-Time Monitoring of Thermal Peaks in Systems-on-Chip (SoC)

  • Aziz Oukaira,
  • Ahmad Hassan,
  • Mohamed Ali,
  • Yvon Savaria and
  • Ahmed Lakhssassi

7 August 2022

This paper presents a method to monitor the thermal peaks that are major concerns when designing Integrated Circuits (ICs) in various advanced technologies. The method aims at detecting the thermal peak in Systems on Chip (SoC) using arrays of oscill...

  • Article
  • Open Access
1 Citations
2,503 Views
13 Pages

7 August 2022

A mask is one of the most basic protections to prevent the transmission of COVID-19. Surgical mask tension release bands (SMTRBs) are commonly used to ease the pain caused by prolonged mask use. However, the structural strength of SMTRBs and the effe...

  • Article
  • Open Access
6 Citations
3,573 Views
17 Pages

7 August 2022

With the development of 5G and network technology, the usage of IoT devices has become popular. Because most of these IoT devices can be controlled by an adversary away from the administrator, several security issues such as firmware dumping can aris...

  • Article
  • Open Access
2 Citations
2,973 Views
13 Pages

7 August 2022

A high-precision cross-correlation cavity length demodulation method for fiber-optic Fabry–Perot (F–P) sensors based on two different wavelength superluminescent diodes (SLDs) was proposed. This method can solve the problem of low demodul...

  • Communication
  • Open Access
3 Citations
2,498 Views
9 Pages

7 August 2022

The time resolution of the transient process is usually limited by the minimum exposure time of the high-speed camera. In this work, we proposed a method that can achieve nanosecond temporal resolution with an ordinary CCD camera by driving the LED u...

  • Article
  • Open Access
8 Citations
2,889 Views
14 Pages

Towards an Accurate Faults Detection Approach in Internet of Medical Things Using Advanced Machine Learning Techniques

  • Mohamed Bahache,
  • Abdou El Karim Tahari,
  • Jorge Herrera-Tapia,
  • Nasreddine Lagraa,
  • Carlos Tavares Calafate and
  • Chaker Abdelaziz Kerrache

7 August 2022

Remotely monitoring people’s healthcare is still among the most important research topics for researchers from both industry and academia. In addition, with the Wireless Body Networks (WBANs) emergence, it becomes possible to supervise patients...

  • Article
  • Open Access
2,696 Views
22 Pages

7 August 2022

The development of deep learning technology has resulted in great contributions in many artificial intelligence services, but adversarial attack techniques on deep learning models are also becoming more diverse and sophisticated. IoT edge devices tak...

  • Article
  • Open Access
4 Citations
2,227 Views
13 Pages

Sparse Space Shift Keying Modulation with Enhanced Constellation Mapping

  • Tiebin Wang,
  • Kaiyuan Huang,
  • Min Liu and
  • Ranran He

7 August 2022

For reducing the switching frequency between the radio frequency (RF) chain and transmit antennas, a class of new sparse space shift keying modulation (SSSK) schemes are presented. This new class is proposed to simplify hardware implementation, throu...

  • Article
  • Open Access
13 Citations
3,193 Views
20 Pages

Distributed Agent-Based Orchestrator Model for Fog Computing

  • Agnius Liutkevičius,
  • Nerijus Morkevičius,
  • Algimantas Venčkauskas and
  • Jevgenijus Toldinas

7 August 2022

Fog computing is an extension of cloud computing that provides computing services closer to user end-devices at the network edge. One of the challenging topics in fog networks is the placement of tasks on fog nodes to obtain the best performance and...

  • Article
  • Open Access
4 Citations
3,967 Views
20 Pages

7 August 2022

In this work, we investigate the potential of employing a direct conversion integration mode X-ray detector with micron-scale pixels in two different X-ray phase-contrast imaging (XPCi) configurations, propagation-based (PB) and edge illumination (EI...

  • Article
  • Open Access
9 Citations
4,248 Views
22 Pages

7 August 2022

Deep neural networks have demonstrated the capability of solving classification problems using hierarchical models, and fuzzy image preprocessing has proven to be efficient in handling uncertainty found in images. This paper presents the combination...

  • Article
  • Open Access
11 Citations
2,685 Views
17 Pages

Calibration-Free 3D Indoor Positioning Algorithms Based on DNN and DIFF

  • Jingmin Yang,
  • Shanghui Deng,
  • Li Xu and
  • Wenjie Zhang

7 August 2022

The heterogeneity of wireless receiving devices, co-channel interference, and multi-path effect make the received signal strength indication (RSSI) of Wi-Fi fluctuate greatly, which seriously degrades the RSSI-based positioning accuracy. Signal stren...

  • Article
  • Open Access
23 Citations
5,664 Views
15 Pages

Global Container Port Network Linkages and Topology in 2021

  • Lu Kang,
  • Wenzhou Wu,
  • Hao Yu and
  • Fenzhen Su

7 August 2022

The maritime transport of containers between ports accounts for the bulk of global trade by weight and value. Transport impedance among ports through transit times and port infrastructures can, however, impact accessibility, trade performance, and th...

  • Article
  • Open Access
10 Citations
4,105 Views
15 Pages

Monitoring Fish Freshness in Real Time under Realistic Conditions through a Single Metal Oxide Gas Sensor

  • Giulia Zambotti,
  • Rosamaria Capuano,
  • Valentina Pasqualetti,
  • Matteo Soprani,
  • Emanuela Gobbi,
  • Corrado Di Natale and
  • Andrea Ponzoni

6 August 2022

The realization of an unobtrusive and effective technology able to track fish freshness in real time and inform on its edibility is highly demanded, but still unachieved. In the present paper, we address this issue through a single metal oxide gas se...

  • Article
  • Open Access
18 Citations
3,497 Views
16 Pages

6 August 2022

A blockchain has been applied in many areas, such as cryptocurrency, smart cities and digital finance. The consensus protocol is the core part of the blockchain network, which addresses the problem of transaction consistency among the involved partic...

  • Review
  • Open Access
32 Citations
6,712 Views
19 Pages

6 August 2022

Today, there are many attempts to introduce the Internet of Things (IoT) in high-voltage systems, where partial discharges are a focus of concern since they degrade the insulation. The idea is to detect such discharges at a very early stage so that c...

  • Article
  • Open Access
2 Citations
2,303 Views
14 Pages

6 August 2022

Crew fatigue from standing posture motion, caused by ship motion, can lead to marine accidents. Therefore, the mechanism of fatigue in crew members ought to be elucidated. The standing posture of humans is maintained by postural state detection throu...

  • Article
  • Open Access
5 Citations
4,543 Views
15 Pages

6 August 2022

Given the huge demand for wire in today’s society, the quality of the wire is especially required. To control the quality of the produced wire, the industry has a great desire for automated optical inspection technology. This technology is a hi...

  • Article
  • Open Access
39 Citations
5,718 Views
25 Pages

Cyber-Threat Detection System Using a Hybrid Approach of Transfer Learning and Multi-Model Image Representation

  • Farhan Ullah,
  • Shamsher Ullah,
  • Muhammad Rashid Naeem,
  • Leonardo Mostarda,
  • Seungmin Rho and
  • Xiaochun Cheng

6 August 2022

Currently, Android apps are easily targeted by malicious network traffic because of their constant network access. These threats have the potential to steal vital information and disrupt the commerce, social system, and banking markets. In this paper...

  • Review
  • Open Access
35 Citations
7,928 Views
26 Pages

A Review of Vision-Laser-Based Civil Infrastructure Inspection and Monitoring

  • Huixing Zhou,
  • Chongwen Xu,
  • Xiuying Tang,
  • Shun Wang and
  • Zhongyue Zhang

6 August 2022

Structural health and construction security are important problems in civil engineering. Regular infrastructure inspection and monitoring methods are mostly performed manually. Early automatic structural health monitoring techniques were mostly based...

  • Review
  • Open Access
61 Citations
10,459 Views
36 Pages

6 August 2022

In modern urban energy communities, diverse natured loads (homes, schools, hospitals, malls, etc.) are situated in the same locality and have self-electricity generation/management facilities. The power systems of these individual buildings are calle...

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Sensors - ISSN 1424-8220