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Total 1395 results found since Jan 2013.

Sensors, Vol. 23, Pages 2559: HAAN: Learning a Hierarchical Adaptive Alignment Network for Image-Text Retrieval
nhao Xu Image-text retrieval aims to search related results of one modality by querying another modality. As a fundamental and key problem in cross-modal retrieval, image-text retrieval is still a challenging problem owing to the complementary and imbalanced relationship between different modalities (i.e., Image and Text) and different granularities (i.e., Global-level and Local-level). However, existing works have not fully considered how to effectively mine and fuse the complementarities between images and texts at different granularities. Therefore, in this paper, we propose a hierarchical adaptive alignment network...
Source: Sensors - February 25, 2023 Category: Biotechnology Authors: Shuhuai Wang Zheng Liu Xinlei Pei Junhao Xu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2560: Exact and Heuristic Multi-Robot Dubins Coverage Path Planning for Known Environments
Hengzhu Liu Coverage path planning (CPP) of multiple Dubins robots has been extensively applied in aerial monitoring, marine exploration, and search and rescue. Existing multi-robot coverage path planning (MCPP) research use exact or heuristic algorithms to address coverage applications. However, several exact algorithms always provide precise area division rather than coverage paths, and heuristic methods face the challenge of balancing accuracy and complexity. This paper focuses on the Dubins MCPP problem of known environments. Firstly, we present an exact Dubins multi-robot coverage path planning yellow(EDM) algor...
Source: Sensors - February 25, 2023 Category: Biotechnology Authors: Lin Li Dianxi Shi Songchang Jin Shaowu Yang Chenlei Zhou Yaoning Lian Hengzhu Liu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2545: A Survey of the Performance-Limiting Factors of a 2-Dimensional RSS Fingerprinting-Based Indoor Wireless Localization System
razak A receive signal strength (RSS) fingerprinting-based indoor wireless localization system (I-WLS) uses a localization machine learning (ML) algorithm to estimate the location of an indoor user using RSS measurements as the position-dependent signal parameter (PDSP). There are two stages in the system’s localization process: the offline phase and the online phase. The offline phase starts with the collection and generation of RSS measurement vectors from radio frequency (RF) signals received at fixed reference locations, followed by the construction of an RSS radio map. In the online phase, the instan...
Source: Sensors - February 24, 2023 Category: Biotechnology Authors: Abdulmalik Shehu Yaro Filip Maly Pavel Prazak Tags: Review Source Type: research

Sensors, Vol. 23, Pages 2523: Estimation of Ground Contact Time with Inertial Sensors from the Upper Arm and the Upper Back
varez Ground contact time (GCT) is one of the most relevant factors when assessing running performance in sports practice. In recent years, inertial measurement units (IMUs) have been widely used to automatically evaluate GCT, since they can be used in field conditions and are friendly and easy to wear devices. In this paper we describe the results of a systematic search, using the Web of Science, to assess what reliable options are available to GCT estimation using inertial sensors. Our analysis reveals that estimation of GCT from the upper body (upper back and upper arm) has rarely been addressed. Proper estimation o...
Source: Sensors - February 24, 2023 Category: Biotechnology Authors: Leticia Gonz ález Antonio M. L ópez Diego Álvarez Juan C. Álvarez Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2506: Acceptability, Feasibility, and Effectiveness of Immersive Virtual Technologies to Promote Exercise in Older Adults: A Systematic Review and Meta-Analysis
Conclusions: Virtual reality seems to be well accepted by older people and its use with this population is feasible. However, more studies are needed to conclude its effectiveness in promoting exercise in older people.
Source: Sensors - February 24, 2023 Category: Biotechnology Authors: Benjamin Dor é Alex Gaudreault Gauthier Everard Johannes C. Ayena Ahmad Abboud Nicolas Robitaille Charles Sebiyo Batcho Tags: Review Source Type: research

Sensors, Vol. 23, Pages 2453: Improved BDS-2/3 Satellite Ultra-Fast Clock Bias Prediction Based With the SSA-ELM Model
This study uses ultra-fast SCB data from the international GNSS monitoring assessment system (iGMAS) to perform experiments. First, the second difference method is used to evaluate the accuracy and stability of the used data, demonstrating that the accuracy between observed data (ISUO) and predicted data (ISUP) of the ultra-fast clock (ISU) products is optimal. Moreover, the accuracy and stability of the new rubidium (Rb-II) clock and hydrogen (PHM) clock onboard BDS-3 are superior to those of BDS-2, and the choice of different reference clocks affects the accuracy of SCB. Then, SSA-ELM, quadratic polynomial (QP), and a gr...
Source: Sensors - February 22, 2023 Category: Biotechnology Authors: Ya Zhao Liu Chen Liu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2326: Diagnosis of the Pneumatic Wheel Condition Based on Vibration Analysis of the Sprung Mass in the Vehicle Self-Diagnostics System
eniek This paper presents a method for the multi-criteria classification of data in terms of identifying pneumatic wheel imbalance on the basis of vehicle body vibrations in normal operation conditions. The paper uses an expert system based on search graphs that apply source features of objects and distances from points in the space of classified objects (the metric used). Rules generated for data obtained from tests performed under stationary and road conditions using a chassis dynamometer were used to develop the expert system. The recorded linear acceleration signals of the vehicle body were analyzed in the frequenc...
Source: Sensors - February 20, 2023 Category: Biotechnology Authors: Krzysztof Pra żnowski Jaros ław Mamala Adam Deptu ła Anna M. Deptu ła Andrzej Bieniek Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2347: Protocols Targeting Afferent Pathways via Neuromuscular Electrical Stimulation for the Plantar Flexors: A Systematic Review
ios A. Patikas This systematic review documents the protocol characteristics of studies that used neuromuscular electrical stimulation protocols (NMES) on the plantar flexors [through triceps surae (TS) or tibial nerve (TN) stimulation] to stimulate afferent pathways. The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement, was registered to PROSPERO (ID: CRD42022345194) and was funded by the Greek General Secretariat for Research and Technology (ERA-NET NEURON JTC 2020). Included were original research articles on healthy adults, with NMES interve...
Source: Sensors - February 20, 2023 Category: Biotechnology Authors: Anastasia Papavasileiou Anthi Xenofondos St éphane Baudry Thomas Lapole Ioannis G. Amiridis Dimitrios Metaxiotis Themistoklis Tsatalas Dimitrios A. Patikas Tags: Review Source Type: research

Sensors, Vol. 23, Pages 2225: An LEO Constellation Early Warning System Decision-Making Method Based on Hierarchical Reinforcement Learning
Yang Zhao The cooperative positioning problem of hypersonic vehicles regarding LEO constellations is the focus of this research study on space-based early warning systems. A hypersonic vehicle is highly maneuverable, and its trajectory is uncertain. New challenges are posed for the cooperative positioning capability of the constellation. In recent years, breakthroughs in artificial intelligence technology have provided new avenues for collaborative multi-satellite intelligent autonomous decision-making technology. This paper addresses the problem of multi-satellite cooperative geometric positioning for hypersonic glide...
Source: Sensors - February 16, 2023 Category: Biotechnology Authors: Yu Cheng Cheng Wei Shengxin Sun Bindi You Yang Zhao Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2218: A Novel Technique to Mitigate the Data Redundancy and to Improvise Network Lifetime Using Fuzzy Criminal Search Ebola Optimization for WMSN
dar Wireless Multimedia Sensor Network (WMSN) is a powerful technology that is widely used to gather data and monitor the actual environment for analysis. Furthermore, multimedia applications’ needs and the features, such as constrained latency and high bandwidth consumption, complicate the design of WMSN routing protocols. Despite several methods, the trouble of designing WMSNs routing protocol remains a hurdle. The miniaturization and enhancement of hardware facilitate an extensive range of applications in the military and public sectors. On the contrary, the streaming of multimedia content is captured ...
Source: Sensors - February 16, 2023 Category: Biotechnology Authors: M. A. Matheen S. Sundar Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2191: A Reinforcement Learning Handover Parameter Adaptation Method Based on LSTM-Aided Digital Twin for UDN
Xin Zhang Adaptation of handover parameters in ultra-dense networks has always been one of the key issues in optimizing network performance. Aiming at the optimization goal of effective handover ratio, this paper proposes a deep Q-learning (DQN) method that dynamically selects handover parameters according to wireless signal fading conditions. This approach seeks good backward compatibility. In order to enhance the efficiency and performance of the DQN method, Long Short Term Memory (LSTM) is used to build a digital twin and assist the DQN algorithm to achieve a more efficient search. Simulation experiments prove that ...
Source: Sensors - February 15, 2023 Category: Biotechnology Authors: Jiao He Tianqi Xiang Yixin Wang Huiyuan Ruan Xin Zhang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2156: Multi-Robot Exploration of Unknown Space Using Combined Meta-Heuristic Salp Swarm Algorithm and Deterministic Coordinated Multi-Robot Exploration
ili Multi-robot exploration means constructing a finite map using a group of robots in an obstacle chaotic space. Uncertainties are reduced by distributing search tasks to robots and computing the best action in real time. Many previous methods are based on deterministic or meta-heuristic algorithms, but limited work has combined both techniques to consolidate both classes’ benefits and alleviate their drawbacks. This paper proposes a new hybrid method based on deterministic coordinated multi-robot exploration (CME) and the meta-heuristic salp swarm algorithm (SSA) to perform the search of a space. The pr...
Source: Sensors - February 14, 2023 Category: Biotechnology Authors: Ali El Romeh Seyedali Mirjalili Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2129: Unsupervised Hyperspectral Band Selection via Multimodal Evolutionary Algorithm and Subspace Decomposition
obo Mao Unsupervised band selection is an essential task to search for representative bands in hyperspectral dimension reduction. Most of existing studies utilize the inherent attribute of hyperspectral image (HSI) and acquire single optimal band subset while ignoring the diversity of subsets. Moreover, the ordered property in HSI is expected to be focused in order to avoid choosing redundant bands. In this paper, we proposed an unsupervised band selection method based on the multimodal evolutionary algorithm and subspace decomposition to alleviate the problems. To explore the diversity of band subsets, the multimodal ...
Source: Sensors - February 14, 2023 Category: Biotechnology Authors: Yunpeng Wei Huiqiang Hu Huaxing Xu Xiaobo Mao Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2092: Assessment of Accuracy in Unmanned Aerial Vehicle (UAV) Pose Estimation with the REAL-Time Kinematic (RTK) Method on the Example of DJI Matrice 300 RTK
This study was undertaken on the assumption that modern navigation receivers equipped with real-time kinematic positioning software and integrated with UAVs can considerably improve the accuracy of photogrammetric measurements. The research hypothesis was verified during field measurements with the use of a popular Enterprise series drone. The problems associated with accurate UAV pose estimation were identified. The main aim of the study was to perform a qualitative assessment of the pose estimation accuracy of a UAV equipped with a GNSS RTK receiver. A test procedure comprising three field experiments was designed to ach...
Source: Sensors - February 13, 2023 Category: Biotechnology Authors: Szymon Czy ża Karol Szuniewicz Kamil Kowalczyk Andrzej Dumalski Micha ł Ogrodniczak Łukasz Zieleniewicz Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2124: Data Dissemination in VANETs Using Particle Swarm Optimization
rohit A vehicular Ad-Hoc Network (VANET) is a type of Mobile Ad-Hoc Networks (MANETs) that uses wireless routers inside each vehicle to act as a node. The need for effective solutions to urban traffic congestion issues has increased recently due to the growing number of automobile connections in the car communications system. To ensure a high level of service and avoid unsafe situations brought on by congestion or a broadcast storm, data dissemination in a VANET network requires an effective approach. Effective multi-objective optimization methods are required to tackle this because of the implied competing nature of m...
Source: Sensors - February 13, 2023 Category: Biotechnology Authors: Dhwani Desai Hosam El-Ocla Surbhi Purohit Tags: Article Source Type: research