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Total 1395 results found since Jan 2013.

Sensors, Vol. 23, Pages 103: An Embedded Framework for Fully Autonomous Object Manipulation in Robotic-Empowered Assisted Living
uto Most of the humanoid social robots currently diffused are designed only for verbal and animated interactions with users, and despite being equipped with two upper arms for interactive animation, they lack object manipulation capabilities. In this paper, we propose the MONOCULAR (eMbeddable autONomous ObjeCt manipULAtion Routines) framework, which implements a set of routines to add manipulation functionalities to social robots by exploiting the functional data fusion of two RGB cameras and a 3D depth sensor placed in the head frame. The framework is designed to: (i) localize specific objects to be manipulated via R...
Source: Sensors - December 22, 2022 Category: Biotechnology Authors: Giovanni Mezzina Daniela De Venuto Tags: Article Source Type: research

Sensors, Vol. 23, Pages 79: Mutual-Aided INS/Vision Navigation System Analysis and Optimization Using Sequential Filtering with State Recalculation
vskiy This paper presents the implementation of a mutual-aided navigation system for an aerial vehicle. Employing all available sensors in navigation is effective at maintaining continuous and optimal results. The images offer a lot of information about the surrounding environment, but image processing is time-consuming and causes timing problems. While traditional fusion algorithms tend to reduce the delay errors or ignore them, this research depends on state estimation recalculation during the delay time and on sequential filtering. To reduce the image matching time, the map is processed offline, then key point clust...
Source: Sensors - December 22, 2022 Category: Biotechnology Authors: Ayham Shahoud Dmitriy Shashev Stanislav Shidlovskiy Tags: Article Source Type: research

Sensors, Vol. 23, Pages 49: Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human & ndash;Robot Architecture for Search and Rescue
Sensors, Vol. 23, Pages 49: Enabling Remote Responder Bio-Signal Monitoring in a Cooperative Human–Robot Architecture for Search and Rescue Sensors doi: 10.3390/s23010049 Authors: Pablo Vera-Ortega Ricardo Vázquez-Martín J. J. Fernandez-Lozano Alfonso García-Cerezo Anthony Mandow The roles of emergency responders are challenging and often physically demanding, so it is essential that their duties are performed safely and effectively. In this article, we address real-time bio-signal sensor monitoring for responders in disaster scenarios. In particular, we propose the integration of a set of heal...
Source: Sensors - December 21, 2022 Category: Biotechnology Authors: Pablo Vera-Ortega Ricardo V ázquez-Martín J. J. Fernandez-Lozano Alfonso Garc ía-Cerezo Anthony Mandow Tags: Article Source Type: research

Sensors, Vol. 23, Pages 19: Multi-Layered QCA Content-Addressable Memory Cell Using Low-Power Electronic Interaction for AI-Based Data Learning and Retrieval in Quantum Computing Environment
In this study, we propose a quantum structure of an associative memory cell for effective data learning based on artificial intelligence. For effective learning of related data, content-based retrieval and storage rather than memory address is essential. A content-addressable memory (CAM), which is an efficient memory cell structure for this purpose, in a quantum computing environment, is designed based on quantum-dot cellular automata (QCA). A CAM cell is composed of a memory unit that stores information, a match unit that performs a search, and a structure, using an XOR gate or an XNOR gate in the match unit, that shows ...
Source: Sensors - December 20, 2022 Category: Biotechnology Authors: Jun-Cheol Jeon Amjad Almatrood Hyun-Il Kim Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9948: TRUST: A Novel Framework for Vehicle Trajectory Recovery from Urban-Scale Videos
hen We study a new type of path inference query against urban-scale video databases. Given a vehicle image query, our goal is to recover its historical trajectory from the footprints captured by surveillance cameras deployed across the road network. The problem is challenging because visual matching inherently suffers from object occlusion, low camera resolution, varying illumination conditions, and viewing angles. Furthermore, with limited computation resources, only a fraction of video frames can be ingested and indexed, causing severe data sparsity issues for visual matching. To support efficient and accurate trajec...
Source: Sensors - December 16, 2022 Category: Biotechnology Authors: Wentao Ji Xing Chen Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9919: Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity
Roy Shivaram P. Arunachalam The search for non-invasive, fast, and low-cost diagnostic tools has gained significant traction among many researchers worldwide. Dielectric properties calculated from microwave signals offer unique insights into biological tissue. Material properties, such as relative permittivity (εr) and conductivity (σ), can vary significantly between healthy and unhealthy tissue types at a given frequency. Understanding this difference in properties is key for identifying the disease state. The frequency-dependent nature of the dielectric measurements results in large da...
Source: Sensors - December 16, 2022 Category: Biotechnology Authors: Poulami Samaddar Anup Kumar Mishra Sunil Gaddam Mansunderbir Singh Vaishnavi K. Modi Keerthy Gopalakrishnan Rachel L. Bayer Ivone Cristina Igreja Sa Shalil Khanal Petra Hirsova Enis Kostallari Shuvashis Dey Dipankar Mitra Sayan Roy Shivaram P. Arunachalam Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9921: Optimal Cluster Head Selection in WSN with Convolutional Neural Network-Based Energy Level Prediction
ozniak Currently, analysts in a variety of nations have developed various WSN clustering protocols. The major characteristic is the Low Energy Adaptive Clustering Hierarchy (LEACH), which attained the objective of energy balance by sporadically varying the Cluster Heads (CHs) in the region. Nevertheless, because it implements an arbitrary number system, the appropriateness of CH is complete with suspicions. In this paper, an optimal cluster head selection (CHS) model is developed regarding secure and energy-aware routing in the Wireless Sensor Network (WSN). Here, optimal CH is preferred based on distance, energy, secu...
Source: Sensors - December 16, 2022 Category: Biotechnology Authors: Sasikumar Gurumoorthy Parimella Subhash Rocio P érez de Prado Marcin Wozniak Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9910: Efficacy of Robot-Assisted Gait Therapy Compared to Conventional Therapy or Treadmill Training in Children with Cerebral Palsy: A Systematic Review with Meta-Analysis
Conclusions: This study shows that the effect of RAGT is superior to CT on gait speed, walking distance and walking, running and jumping ability in post-intervention, although no differences were found between RAGT and TT or CT for the remaining variables.
Source: Sensors - December 16, 2022 Category: Biotechnology Authors: Irene Cort és-Pérez Noelia Gonz ález-González Ana Bel én Peinado-Rubia Francisco Antonio Nieto-Escamez Esteban Obrero-Gait án H éctor García-López Tags: Systematic Review Source Type: research

Sensors, Vol. 22, Pages 9822: Comfort Prediction of Office Chair Surface Material Based on the ISSA-LSSVM
This study serves the purpose of assisting users in selecting a comfortable seat surface material for office chairs and enhancing users’ comfort while using office chairs. To address the issue that the selection of traditional seat surface material is too subjective and that the prediction effect is poor, an improved sparrow search algorithm (ISSA) optimized least squares support vector machine (LSSVM) method for office chair seat surface material comfort prediction has been proposed. Sparrow Search Algorithm (SSA) was optimized with Sobol sequences, nonlinear inertial weights, and a crisscross optimization a...
Source: Sensors - December 14, 2022 Category: Biotechnology Authors: Xuyinglong Zhang Zilian Cheng Mengyang Zhang Xiaodong Zhu Xianquan Zhang Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9802: Optimal Geometries for AOA Localization in the Bayesian Sense
y This paper considers the optimal sensor placement problem for angle-of-arrival (AOA) target localization in the 2D plane with a Gaussian prior. Optimal sensor locations are analytically determined for a single AOA sensor using the D- and A-optimality criteria and an approximation of the Bayesian Fisher information matrix (BFIM). Optimal sensor placement is shown to align with the minor axis of the prior covariance error ellipse for both optimality criteria. The approximate BFIM is argued to be valid for a sufficiently small prior covariance compared with the target range. Optimal sensor placement results obtained for...
Source: Sensors - December 14, 2022 Category: Biotechnology Authors: Kutluyil Dogancay Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9757: Immunosensors & mdash;The Future of Pathogen Real-Time Detection
Sensors, Vol. 22, Pages 9757: Immunosensors—The Future of Pathogen Real-Time Detection Sensors doi: 10.3390/s22249757 Authors: Edyta Janik-Karpinska Michal Ceremuga Marcin Niemcewicz Marcin Podogrocki Maksymilian Stela Natalia Cichon Michal Bijak Pathogens and their toxins can cause various diseases of different severity. Some of them may be fatal, and therefore early diagnosis and suitable treatment is essential. There are numerous available methods used for their rapid screening. Conventional laboratory-based techniques such as culturing, enzyme-linked immunosorbent assay (ELISA) and polymer...
Source: Sensors - December 13, 2022 Category: Biotechnology Authors: Edyta Janik-Karpinska Michal Ceremuga Marcin Niemcewicz Marcin Podogrocki Maksymilian Stela Natalia Cichon Michal Bijak Tags: Review Source Type: research

Sensors, Vol. 22, Pages 9783: Automated Machine Learning System for Defect Detection on Cylindrical Metal Surfaces
g Lin Metal workpieces are indispensable in the manufacturing industry. Surface defects affect the appearance and efficiency of a workpiece and reduce the safety of manufactured products. Therefore, products must be inspected for surface defects, such as scratches, dirt, and chips. The traditional manual inspection method is time-consuming and labor-intensive, and human error is unavoidable when thousands of products require inspection. Therefore, an automated optical inspection method is often adopted. Traditional automated optical inspection algorithms are insufficient in the detection of defects on metal surfaces, b...
Source: Sensors - December 13, 2022 Category: Biotechnology Authors: Yi-Cheng Huang Kuo-Chun Hung Jun-Chang Lin Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9786: Multi-UAV Path Planning Algorithm Based on BINN-HHO
iting Zhang Multi-UAV (multiple unmanned aerial vehicles) flying in three-dimensional (3D) mountain environments suffer from low stability, long-planned path, and low dynamic obstacle avoidance efficiency. Spurred by these constraints, this paper proposes a multi-UAV path planning algorithm that consists of a bioinspired neural network and improved Harris hawks optimization with a periodic energy decline regulation mechanism (BINN-HHO) to solve the multi-UAV path planning problem in a 3D space. Specifically, in the procession of global path planning, an energy cycle decline mechanism is introduced into HHO and embed it...
Source: Sensors - December 13, 2022 Category: Biotechnology Authors: Sen Li Ran Zhang Yuanming Ding Xutong Qin Yajun Han Huiting Zhang Tags: Article Source Type: research

Sensors, Vol. 22, Pages 9713: A Systematic Review of Online Speech Therapy Systems for Intervention in Childhood Speech Communication Disorders
dogan Currently, not all children that need speech therapy have access to a therapist. With the current international shortage of speech–language pathologists (SLPs), there is a demand for online tools to support SLPs with their daily tasks. Several online speech therapy (OST) systems have been designed and proposed in the literature; however, the implementation of these systems is lacking. The technical knowledge that is needed to use these programs is a challenge for SLPs. There has been limited effort to systematically identify, analyze and report the findings of prior studies. We provide the results o...
Source: Sensors - December 11, 2022 Category: Biotechnology Authors: Geertruida Aline Attwell Kwabena Ebo Bennin Bedir Tekinerdogan Tags: Review Source Type: research

Sensors, Vol. 22, Pages 9689: An Enhanced Hyper-Parameter Optimization of a Convolutional Neural Network Model for Leukemia Cancer Diagnosis in a Smart Healthcare System
dra Nath Sur Healthcare systems in recent times have witnessed timely diagnoses with a high level of accuracy. Internet of Medical Things (IoMT)-enabled deep learning (DL) models have been used to support medical diagnostics in real time, thus resolving the issue of late-stage diagnosis of various diseases and increasing performance accuracy. The current approach for the diagnosis of leukemia uses traditional procedures, and in most cases, fails in the initial period. Hence, several patients suffering from cancer have died prematurely due to the late discovery of cancerous cells in blood tissue. Therefore, this study p...
Source: Sensors - December 10, 2022 Category: Biotechnology Authors: Joseph Bamidele Awotunde Agbotiname Lucky Imoize Oluwafisayo Babatope Ayoade Moses Kazeem Abiodun Dinh-Thuan Do Ad ão Silva Samarendra Nath Sur Tags: Article Source Type: research