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Total 1395 results found since Jan 2013.

Sensors, Vol. 23, Pages 591: Model-Based Damage Localization Using the Particle Swarm Optimization Algorithm and Dynamic Time Wrapping for Pattern Recreation
ulos Vibration-based damage detection methods are a subcategory of Structural Health Monitoring (SHM) methods that rely on the fact that structural damage will affect the dynamic characteristic of a structure. The presented methodology uses Finite Element Models coupled with a metaheuristic optimization algorithm in order to locate the damage in a structure. The search domains of the optimization algorithm are the variables that control a parametric area, which is inserted into the FE model. During the optimization procedure, this area changes location, stiffness, and mass to simulate the effect of the physical damage....
Source: Sensors - January 4, 2023 Category: Biotechnology Authors: Zacharakis Giagopoulos Tags: Article Source Type: research

Sensors, Vol. 23, Pages 588: Performance of Oral Cavity Sensors: A Systematic Review
gmann Technological advancements are enabling new applications within biomedical engineering. As a connection point between the outer environment and the human system, the oral cavity offers unique opportunities for sensing technologies. This paper systematically reviews the performance of measurement systems tested in the human oral cavity. Performance was defined by metrics related to accuracy and agreement estimation. A comprehensive search identifying human studies that reported on the accuracy or agreement of intraoral sensors found 85 research papers. Most of the literature (62%) was in dentistry, followed by neu...
Source: Sensors - January 4, 2023 Category: Biotechnology Authors: Leonardo de Almeida e Bueno Man Ting Kwong Jeroen H. M. Bergmann Tags: Review Source Type: research

Sensors, Vol. 23, Pages 548: Speeding Task Allocation Search for Reconfigurations in Adaptive Distributed Embedded Systems Using Deep Reinforcement Learning
nza A Critical Adaptive Distributed Embedded System (CADES) is a group of interconnected nodes that must carry out a set of tasks to achieve a common goal, while fulfilling several requirements associated with their critical (e.g., hard real-time requirements) and adaptive nature. In these systems, a key challenge is to solve, in a timely manner, the combinatorial optimization problem involved in finding the best way to allocate the tasks to the available nodes (i.e., the task allocation) taking into account aspects such as the computational costs of the tasks and the computational capacity of the nodes. This problem i...
Source: Sensors - January 3, 2023 Category: Biotechnology Authors: Ram ón Rotaeche Alberto Ballesteros Juli án Proenza Tags: Article Source Type: research

Sensors, Vol. 23, Pages 536: A Clinical Perspective on Bespoke Sensing Mechanisms for Remote Monitoring and Rehabilitation of Neurological Diseases: Scoping Review
This study aims to review current trends in the application of sensing mechanisms in remote monitoring and rehabilitation in neurological diseases, and to provide clinical insights to develop bespoke sensing mechanisms. A systematic search was performed using the PubMED database to identify 16 papers published for the period between 2018 to 2022. Teleceptive sensors (56%) were utilized more often than wearable proximate sensors (50%). The most commonly used modality was infrared (38%) and acceleration force (38%), followed by RGB color, EMG, light and temperature, and radio signal. The strategy adopted to improve the sensi...
Source: Sensors - January 3, 2023 Category: Biotechnology Authors: Jia Min Yen Jeong Hoon Lim Tags: Review Source Type: research

Sensors, Vol. 23, Pages 525: An Intelligent Platform for Software Component Mining and Retrieval
De la Sen The development of robotic applications necessitates the availability of useful, adaptable, and accessible programming frameworks. Robotic, IoT, and sensor-based systems open up new possibilities for the development of innovative applications, taking advantage of existing and new technologies. Despite much progress, the development of these applications remains a complex, time-consuming, and demanding activity. Development of these applications requires wide utilization of software components. In this paper, we propose a platform that efficiently searches and recommends code components for reuse. To locate a...
Source: Sensors - January 3, 2023 Category: Biotechnology Authors: Nazia Bibi Tauseef Rana Ayesha Maqbool Farkhanda Afzal Ali Akg ül Manuel De la Sen Tags: Article Source Type: research

Sensors, Vol. 23, Pages 513: VERD: Emergence of Product-Based Video E-Commerce Retrieval Dataset from User & rsquo;s Perspective
Sensors, Vol. 23, Pages 513: VERD: Emergence of Product-Based Video E-Commerce Retrieval Dataset from User’s Perspective Sensors doi: 10.3390/s23010513 Authors: Gwangjin Lee Won Jo Yukyung Choi Customer demands for product search are growing as a result of the recent growth of the e-commerce market. According to this trend, studies on object-centric retrieval using product images have emerged, but it is difficult to respond to complex user-environment scenarios and a search requires a vast amount of data. In this paper, we propose the Video E-commerce Retrieval Dataset (VERD), which utilizes user-pers...
Source: Sensors - January 3, 2023 Category: Biotechnology Authors: Gwangjin Lee Won Jo Yukyung Choi Tags: Article Source Type: research

Sensors, Vol. 23, Pages 447: A Method of Merging Maps for MUAVs Based on an Improved Genetic Algorithm
iang Chen The merging of environmental maps constructed by individual UAVs alone and the sharing of information are key to improving the efficiency of distributed multi-UAVexploration. This paper investigates the raster map-merging problem in the absence of a common reference coordinate system and the relative position information of UAVs, and proposes a raster map-merging method with a directed crossover multidimensional perturbation variational genetic algorithm (DCPGA). The algorithm uses an optimization function reflecting the degree of dissimilarity between the overlapping regions of two raster maps as the fitness...
Source: Sensors - January 1, 2023 Category: Biotechnology Authors: Quansheng Sun Tianjun Liao Haibo Du Yinfeng Zhao Chih-Chiang Chen Tags: Article Source Type: research

Sensors, Vol. 23, Pages 423: Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals
Gabralla Visual analysis of an electroencephalogram (EEG) by medical professionals is highly time-consuming and the information is difficult to process. To overcome these limitations, several automated seizure detection strategies have been introduced by combining signal processing and machine learning. This paper proposes a hybrid optimization-controlled ensemble classifier comprising the AdaBoost classifier, random forest (RF) classifier, and the decision tree (DT) classifier for the automatic analysis of an EEG signal dataset to predict an epileptic seizure. The EEG signal is pre-processed initially to make it suit...
Source: Sensors - December 30, 2022 Category: Biotechnology Authors: Bhaskar Kapoor Bharti Nagpal Praphula Kumar Jain Ajith Abraham Lubna Abdelkareim Gabralla Tags: Article Source Type: research

Sensors, Vol. 23, Pages 375: Collaborative 3D Scene Reconstruction in Large Outdoor Environments Using a Fleet of Mobile Ground Robots
asiri Teams of mobile robots can be employed in many outdoor applications, such as precision agriculture, search and rescue, and industrial inspection, allowing an efficient and robust exploration of large areas and enhancing the operators’ situational awareness. In this context, this paper describes an active and decentralized framework for the collaborative 3D mapping of large outdoor areas using a team of mobile ground robots under limited communication range and bandwidth. A real-time method is proposed that allows the sharing and registration of individual local maps, obtained from 3D LiDAR measureme...
Source: Sensors - December 29, 2022 Category: Biotechnology Authors: John Lewis Pedro U. Lima Meysam Basiri Tags: Article Source Type: research

Sensors, Vol. 23, Pages 366: Study on an Assembly Prediction Method of RV Reducer Based on IGWO Algorithm and SVR Model
iang Wang This paper proposes a new method for predicting rotation error based on improved grey wolf–optimized support vector regression (IGWO-SVR), because the existing rotation error research methods cannot meet the production beat and product quality requirements of enterprises, because of the disadvantages of its being time-consuming and having poor calculation accuracy. First, the grey wolf algorithm is improved based on the optimal Latin hypercube sampling initialization, nonlinear convergence factor, and dynamic weights to improve its accuracy in optimizing the parameters of the support vector regr...
Source: Sensors - December 29, 2022 Category: Biotechnology Authors: Shousong Jin Mengyi Cao Qiancheng Qian Guo Zhang Yaliang Wang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 267: Improving Fingerprint-Based Positioning by Using IEEE 802.11mc FTM/RTT Observables
ola Received signal strength (RSS) has been one of the most used observables for location purposes due to its availability at almost every wireless device. However, the volatile nature of RSS tends to yield to non-reliable location solutions. IEEE 802.11mc enabled the use of the round trip time (RTT) for positioning, which is expected to be a more consistent observable for location purposes. This approach has been gaining support from several companies such as Google, which introduced that feature in the Android O.S. As a result, RTT estimation is now available in several recent off-the-shelf devices, opening a wide ra...
Source: Sensors - December 27, 2022 Category: Biotechnology Authors: Israel Martin-Escalona Enrica Zola Tags: Article Source Type: research

Sensors, Vol. 23, Pages 223: An Enhanced Tree Routing Based on Reinforcement Learning in Wireless Sensor Networks
Ki-Il Kim In wireless sensor networks, tree-based routing can achieve a low control overhead and high responsiveness by eliminating the path search and avoiding the use of extensive broadcast messages. However, existing approaches face difficulty in finding an optimal parent node, owing to conflicting performance metrics such as reliability, latency, and energy efficiency. To strike a balance between these multiple objectives, in this paper, we revisit a classic problem of finding an optimal parent node in a tree topology. Our key idea is to find the best parent node by utilizing empirical data about the network obta...
Source: Sensors - December 26, 2022 Category: Biotechnology Authors: Beom-Su Kim Beomkyu Suh In Jin Seo Han Byul Lee Ji Seon Gong Ki-Il Kim Tags: Article Source Type: research

Sensors, Vol. 23, Pages 205: Systematic Review on the Applicability of Principal Component Analysis for the Study of Movement in the Older Adult Population
P. Sousa Principal component analysis (PCA) is a dimensionality reduction method that has identified significant differences in older adults’ motion analysis previously not detected by the discrete exploration of biomechanical variables. This systematic review aims to synthesize the current evidence regarding PCA use in the study of movement in older adults (kinematics and kinetics), summarizing the tasks and biomechanical variables studied. From the search results, 1685 studies were retrieved, and 19 studies were included for review. Most of the included studies evaluated gait or quiet standing. The mai...
Source: Sensors - December 25, 2022 Category: Biotechnology Authors: Juliana Moreira Bruno Silva Hugo Faria Rubim Santos Andreia S. P. Sousa Tags: Systematic Review Source Type: research

Sensors, Vol. 23, Pages 169: The Development of Symbolic Expressions for Fire Detection with Symbolic Classifier Using Sensor Fusion Data
an Car Fire is usually detected with fire detection systems that are used to sense one or more products resulting from the fire such as smoke, heat, infrared, ultraviolet light radiation, or gas. Smoke detectors are mostly used in residential areas while fire alarm systems (heat, smoke, flame, and fire gas detectors) are used in commercial, industrial and municipal areas. However, in addition to smoke, heat, infrared, ultraviolet light radiation, or gas, other parameters could indicate a fire, such as air temperature, air pressure, and humidity, among others. Collecting these parameters requires the development of a se...
Source: Sensors - December 24, 2022 Category: Biotechnology Authors: Nikola An đelić Sandi Baressi Baressi Šegota Ivan Lorencin Zlatan Car Tags: Article Source Type: research

Sensors, Vol. 23, Pages 90: An Improved African Vulture Optimization Algorithm for Dual-Resource Constrained Multi-Objective Flexible Job Shop Scheduling Problems
Luan According to the characteristics of flexible job shop scheduling problems, a dual-resource constrained flexible job shop scheduling problem (DRCFJSP) model with machine and worker constraints is constructed such that the makespan and total delay are minimized. An improved African vulture optimization algorithm (IAVOA) is developed to solve the presented problem. A three-segment representation is proposed to code the problem, including the operation sequence, machine allocation, and worker selection. In addition, the African vulture optimization algorithm (AVOA) is improved in three aspects: First, in order to enh...
Source: Sensors - December 22, 2022 Category: Biotechnology Authors: Zhou He Biao Tang Fei Luan Tags: Article Source Type: research