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Source: Sensors

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Total 1395 results found since Jan 2013.

Sensors, Vol. 23, Pages 1323: Smartphones and Threshold-Based Monitoring Methods Effectively Detect Falls Remotely: A Systematic Review
el J. Maniaci In the US, at least one fall occurs in at least 28.7% of community-dwelling seniors 65 and older each year. Falls had medical costs of USD 51 billion in 2015 and are projected to reach USD 100 billion by 2030. This review aims to discuss the extent of smartphone (SP) usage in fall detection and prevention across a range of care settings. A computerized search was conducted on six electronic databases to investigate the use of remote sensing technology, wireless technology, and other related MeSH terms for detecting and preventing falls. After applying inclusion and exclusion criteria, 44 studies were incl...
Source: Sensors - January 24, 2023 Category: Biotechnology Authors: Ricardo A. Torres-Guzman Margaret R. Paulson Francisco R. Avila Karla Maita John P. Garcia Antonio J. Forte Michael J. Maniaci Tags: Systematic Review Source Type: research

Sensors, Vol. 23, Pages 1239: Optimizing Resources and Increasing the Coverage of Internet-of-Things (IoT) Networks: An Approach Based on LoRaWAN
Lima Silva A resource optimization methodology is proposed for application in long range wide area networks (LoRaWANs). Using variable neighborhood search (VNS) and a minimum-cost spanning tree algorithm, it reduces the implementation and the maintenance costs of such low power networks. Performance evaluations were conducted in LoRaWANs with LoRa repeaters to increase coverage, in scenario where the number and the location of the repeaters are determined by the VNS metaheuristic. Parameters such as spread factor (SF), bandwidth and transmission power were adjusted to minimize the network’s total energy p...
Source: Sensors - January 21, 2023 Category: Biotechnology Authors: Matheus Araujo Gava Helder Roberto Oliveira Rocha Menno Jan Faber Marcelo Eduardo Vieira Segatto Heinrich W örtche Jair Adriano Lima Silva Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1230: Intelligent Feature Selection for ECG-Based Personal Authentication Using Deep Reinforcement Learning
In this study, the optimal features of electrocardiogram (ECG) signals were investigated for the implementation of a personal authentication system using a reinforcement learning (RL) algorithm. ECG signals were recorded from 11 subjects for 6 days. Consecutive 5-day datasets (from the 1st to the 5th day) were trained, and the 6th dataset was tested. To search for the optimal features of ECG for the authentication problem, RL was utilized as an optimizer, and its internal model was designed based on deep learning structures. In addition, the deep learning architecture in RL was automatically constructed based on an optimiz...
Source: Sensors - January 20, 2023 Category: Biotechnology Authors: Suwhan Baek Juhyeong Kim Hyunsoo Yu Geunbo Yang Illsoo Sohn Youngho Cho Cheolsoo Park Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1160: Long-Term Indoor-Outdoor PM2.5 Measurements Using PurpleAir Sensors: An Improved Method of Calculating Indoor-Generated and Outdoor-Infiltrated Contributions to Potential Indoor Exposure
Ott Low-cost monitors make it possible now for the first time to collect long-term (months to years) measurements of potential indoor exposure to fine particles. Indoor exposure is due to two sources: particles infiltrating from outdoors and those generated by indoor activities. Calculating the relative contribution of each source requires identifying an infiltration factor. We develop a method of identifying periods when the infiltration factor is not constant and searching for periods when it is relatively constant. From an initial regression of indoor on outdoor particle concentrations, a Forbidden Zone can be defin...
Source: Sensors - January 19, 2023 Category: Biotechnology Authors: Lance Wallace Wayne Ott Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1140: Odor Source Localization in Obstacle Regions Using Switching Planning Algorithms with a Switching Framework
In this study, we addressed both the aforementioned problems by simplifying the environment with an obstacle region into multiple sub-environments with different resolutions. Subsequently, a framework was introduced to switch between the Infotaxis and Dijkstra algorithms to navigate the agent and enable it to reach the source swiftly. One algorithm was used to guide the agent in searching for clues about the source location, whereas the other facilitated the active movement of the agent between sub-environments. The proposed algorithm exhibited improvements in terms of success rate and search time. Furthermore, the impleme...
Source: Sensors - January 19, 2023 Category: Biotechnology Authors: Duc-Nhat Luong Daisuke Kurabayashi Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1097: Quantitative Identification Method for Glass Panel Defects Using Microwave Detection Based on the CSAPSO-BP Neural Network
un Song To address the problem of the quantitative identification of glass panel surface defects, a new method combining the chaotic simulated annealing particle swarm algorithm (CSAPSO) and the BP neural network is proposed for the quantitative evaluation of microwave detection signals of glass panel defects. First, the parameters of the particle swarm optimization (PSO) algorithm are dynamically assigned using chaos theory to improve the global search capability of the PSO. Then, the CSAPSO-BP neural network model is constructed, and the return loss and phase of the microwave detection echo signal of glass panel defe...
Source: Sensors - January 18, 2023 Category: Biotechnology Authors: Jun Fang Zhiyang Deng Jun Tu Xiaochun Song Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1041: Improved Bidirectional RRT* Algorithm for Robot Path Planning
Xiqing Ma In order to address the shortcomings of the traditional bidirectional RRT* algorithm, such as its high degree of randomness, low search efficiency, and the many inflection points in the planned path, we institute improvements in the following directions. Firstly, to address the problem of the high degree of randomness in the process of random tree expansion, the expansion direction of the random tree growing at the starting point is constrained by the improved artificial potential field method; thus, the random tree grows towards the target point. Secondly, the random tree sampling point grown at the target...
Source: Sensors - January 16, 2023 Category: Biotechnology Authors: Peng Xin Xiaomin Wang Xiaoli Liu Yanhui Wang Zhibo Zhai Xiqing Ma Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1034: User-Driven Relay Beamforming for mmWave Massive Analog-Relay MIMO
guchi Sixth-generation mobile communication (6G) aims to further improve capacity and reliability by controlling the radio propagation environment. Millimeter wave (mmWave) high-frequency band communication offers large bandwidth at the cost of high attenuation, even for smaller distances. Due to this, fewer multiple input multiple outputs (MIMO) multiplexing is possible at the base station (BS). Distributed analog relay nodes with beamforming capability improve the received power and MIMO multiplexing of mmWave communication. Due to limited signal processing, the analog relay node cannot perform beam search and tracki...
Source: Sensors - January 16, 2023 Category: Biotechnology Authors: Masashi Iwabuchi Yoghitha Ramamoorthi Kei Sakaguchi Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1007: The Digital Twin Paradigm Applied to Soil Quality Assessment: A Systematic Literature Review
This study was carried out through an exhaustive search of scientific literature on five different databases. A total of 158 articles were extracted as a result of this search. After a first screening process, only 11 articles were considered to be aligned with the current topic. Subsequently, these articles were categorised to extract all relevant information, using the preferred reporting items for systematic reviews and meta-analyses methods. Based on the obtained results, there are two main conclusions to draw: First, when compared with industrial processes, there is only a very slight rising trend regarding the use of...
Source: Sensors - January 15, 2023 Category: Biotechnology Authors: Let ícia Silva Francisco Rodr íguez-Sedano Paula Baptista Jo ão Paulo Coelho Tags: Review Source Type: research

Sensors, Vol. 23, Pages 1000: Comparison of Artificial Neural Network and Polynomial Approximation Models for Reflectance Spectra Reconstruction
This study compared two modelling approaches based on a training set of RGB-reflectance pairs, one implementing artificial neural networks (ANN) and the other one using multivariate polynomial approximation (PA). The effect of various parameters was investigated: the ANN learning algorithm—standard backpropagation (BP) or Levenberg-Marquardt (LM), the number of hidden layers (HLs) and neurons, the degree of multivariate polynomials in PA, the number of inputs, and the training set size on both models. In the two-layer ANN with significantly fewer inputs than outputs, a better MSE performance was found where t...
Source: Sensors - January 15, 2023 Category: Biotechnology Authors: Mihael Lazar Ale š Hladnik Tags: Article Source Type: research

Sensors, Vol. 23, Pages 995: Review of Sensor Technology to Support Automated Air-to-Air Refueling of a Probe Configured Uncrewed Aircraft
ard As technologies advance and applications for uncrewed aircraft increase, the capability to conduct automated air-to-air refueling becomes increasingly important. This paper provides a review of required sensors to enable automated air-to-air refueling for an uncrewed aircraft, as well as a review of published research on the topic. Automated air-to-air refueling of uncrewed aircraft eliminates the need for ground infrastructure for intermediate refueling, as well as the need for on-site personnel. Automated air-to-air refueling potentially supports civilian applications such as weather monitoring, surveillance for ...
Source: Sensors - January 15, 2023 Category: Biotechnology Authors: Jonathon Parry Sarah Hubbard Tags: Review Source Type: research

Sensors, Vol. 23, Pages 974: Specular Reflections Detection and Removal for Endoscopic Images Based on Brightness Classification
Yunxue Hu Specular Reflections often exist in the endoscopic image, which not only hurts many computer vision algorithms but also seriously interferes with the observation and judgment of the surgeon. The information behind the recovery specular reflection areas is a necessary pre-processing step in medical image analysis and application. The existing highlight detection method is usually only suitable for medium-brightness images. The existing highlight removal method is only applicable to images without large specular regions, when dealing with high-resolution medical images with complex texture information, not only...
Source: Sensors - January 14, 2023 Category: Biotechnology Authors: Chao Nie Chao Xu Zhengping Li Lingling Chu Yunxue Hu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 897: Real-Time Human Motion Tracking by Tello EDU Drone
ard Human movement tracking is useful in a variety of areas, such as search-and-rescue activities. CCTV and IP cameras are popular as front-end sensors for tracking human motion; however, they are stationary and have limited applicability in hard-to-reach places, such as those where disasters have occurred. Using a drone to discover a person is challenging and requires an innovative approach. In this paper, we aim to present the design and implementation of a human motion tracking method using a Tello EDU drone. The design methodology is carried out in four steps: (1) control panel design; (2) human motion tracking alg...
Source: Sensors - January 12, 2023 Category: Biotechnology Authors: Anuparp Boonsongsrikul Jirapon Eamsaard Tags: Article Source Type: research

Sensors, Vol. 23, Pages 829: Vision-Based Autonomous Following of a Moving Platform and Landing for an Unmanned Aerial Vehicle
m Basiri Interest in Unmanned Aerial Vehicles (UAVs) has increased due to their versatility and variety of applications, however their battery life limits their applications. Heterogeneous multi-robot systems can offer a solution to this limitation, by allowing an Unmanned Ground Vehicle (UGV) to serve as a recharging station for the aerial one. Moreover, cooperation between aerial and terrestrial robots allows them to overcome other individual limitations, such as communication link coverage or accessibility, and to solve highly complex tasks, e.g., environment exploration, infrastructure inspection or search and resc...
Source: Sensors - January 11, 2023 Category: Biotechnology Authors: Jes ús Morales Isabel Castelo Rodrigo Serra Pedro U. Lima Meysam Basiri Tags: Article Source Type: research

Sensors, Vol. 23, Pages 828: Smart Wearables for the Detection of Cardiovascular Diseases: A Systematic Literature Review
Conclusions: The results clearly show that interest in this topic has increased. Although the results show that smart wearables are quite accurate in detecting, predicting, and even treating cardiovascular disease, further research is needed to improve their use.
Source: Sensors - January 11, 2023 Category: Biotechnology Authors: Mohammad Moshawrab Mehdi Adda Abdenour Bouzouane Hussein Ibrahim Ali Raad Tags: Systematic Review Source Type: research