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Total 1395 results found since Jan 2013.

Sensors, Vol. 19, Pages 1545: Profit-Driven Adaptive Moving Targets Search with UAV Swarms
Hui Li This paper presents a novel distributed algorithm for a moving targets search with a team of cooperative unmanned aerial vehicles (UAVs). UAVs sense targets using on-board sensors and the information can be shared with teammates within a communication range. Based on local and shared information, the UAV swarm tries to maximize its average observation rate on targets. Unlike traditional approaches that treat the impact from different sources separately, our framework characterizes the impact of moving targets and collaborating UAVs on the moving decision for each UAV with a unified metric called observation pro...
Source: Sensors - March 29, 2019 Category: Biotechnology Authors: Xianfeng Li Jie Chen Fan Deng Hui Li Tags: Article Source Type: research

Sensors, Vol. 19, Pages 4067: Autonomous Unmanned Aerial Vehicles in Search and Rescue Missions Using Real-Time Cooperative Model Predictive Control
Barreto Haddad Unmanned Aerial Vehicles (UAVs) have recently been used in a wide variety of applications due to their versatility, reduced cost, rapid deployment, among other advantages. Search and Rescue (SAR) is one of the most prominent areas for the employment of UAVs in place of a manned mission, especially because of its limitations on the costs, human resources, and mental and perception of the human operators. In this work, a real-time path-planning solution using multiple cooperative UAVs for SAR missions is proposed. The technique of Particle Swarm Optimization is used to solve a Model Predictive Control (MP...
Source: Sensors - September 19, 2019 Category: Biotechnology Authors: Fabio A. A. Andrade Anthony Hovenburg Luciano Netto de de Lima Christopher Dahlin Rodin Tor Arne Johansen Rune Storvold Carlos A. M. Correia Diego Barreto Haddad Tags: Article Source Type: research

Sensors, Vol. 19, Pages 4535: Robust Estimators in Geodetic Networks Based on a New Metaheuristic: Independent Vortices Search
to Veronez Geodetic networks provide accurate three-dimensional control points for mapping activities, geoinformation, and infrastructure works. Accurate computation and adjustment are necessary, as all data collection is vulnerable to outliers. Applying a Least Squares (LS) process can lead to inaccuracy over many points in such conditions. Robust Estimator (RE) methods are less sensitive to outliers and provide an alternative to conventional LS. To solve the RE functions, we propose a new metaheuristic (MH), based on the Vortex Search (IVS) algorithm, along with a novel search space definition scheme. Numerous scenar...
Source: Sensors - October 17, 2019 Category: Biotechnology Authors: Ismael Érique Koch Ivandro Klein Luiz Gonzaga Marcelo Tomio Matsuoka Vinicius Francisco Rofatto Maur ício Roberto Veronez Tags: Article Source Type: research

Sensors, Vol. 20, Pages 947: In-Field Calibration of Triaxial Accelerometer Based on Beetle Swarm Antenna Search Algorithm
Sensors, Vol. 20, Pages 947: In-Field Calibration of Triaxial Accelerometer Based on Beetle Swarm Antenna Search Algorithm Sensors doi: 10.3390/s20030947 Authors: Wang Gao Wu Zhang Li Traditional calibration method is usually performed with expensive equipments suchas three-axis turntable in a laboratory environment. However in practice, in order to ensure theaccuracy and stability of the inertial navigation system (INS), it is usually necessary to recalibratethe inertial measurement unit (IMU) without external equipment in the field. In this paper, anew in-field recalibration method for triaxial acce...
Source: Sensors - February 9, 2020 Category: Biotechnology Authors: Wang Gao Wu Zhang Li Tags: Article Source Type: research

Sensors, Vol. 20, Pages 947: In-Field Calibration of Triaxial Accelerometer Based on Beetle Swarm Antenna Search Algorithm
ngchun Li Traditional calibration method is usually performed with expensive equipments such as three-axis turntable in a laboratory environment. However in practice, in order to ensure the accuracy and stability of the inertial navigation system (INS), it is usually necessary to recalibrate the inertial measurement unit (IMU) without external equipment in the field. In this paper, a new in-field recalibration method for triaxial accelerometer based on beetle swarm antenna search (BSAS) algorithm is proposed. Firstly, as a new intelligent optimization algorithm, BSAS algorithm and its improvements based on basic beetle...
Source: Sensors - February 9, 2020 Category: Biotechnology Authors: Pengfei Wang Yanbin Gao Menghao Wu Fan Zhang Guangchun Li Tags: Article Source Type: research

Sensors, Vol. 20, Pages 6140: Intelligent UAV Deployment for a Disaster-Resilient Wireless Network
This article studies the problem of optimal placement of the UAVs as ABSs to enable network connectivity for the users in such a scenario. The main contributions of this work include a less complex approach to optimally position the UAVs and to assign user equipment (UE) to each ABS, such that the total spectral efficiency (TSE) of the network is maximized, while maintaining a minimum QoS requirement for the UEs. The main advantage of the proposed approach is that it only requires the knowledge of UE and ABS locations and statistical channel state information. The optimal 2-dimensional (2D) positions of the ABSs and the UE...
Source: Sensors - October 28, 2020 Category: Biotechnology Authors: Hassaan Hydher Dushantha Nalin K. Jayakody Kasun T. Hemachandra Tharaka Samarasinghe Tags: Article Source Type: research

Sensors, Vol. 20, Pages 6270: Graph Search-Based Exploration Method Using a Frontier-Graph Structure for Mobile Robots
u This paper describes a graph search-based exploration method. Segmented frontier nodes and their relative transformations constitute a frontier-graph structure. Frontier detection and segmentation are performed using local grid maps of adjacent nodes. The proposed frontier-graph structure can systematically manage local information according to the exploration state and overcome the problem caused by updating a single global grid map. The robot selects the next target using breadth-first search (BFS) exploration of the frontier-graph. The BFS exploration is improved to generate an efficient loop-closing sequence betw...
Source: Sensors - November 3, 2020 Category: Biotechnology Authors: Hyejeong Ryu Tags: Article Source Type: research

Sensors, Vol. 21, Pages 1012: Joint Multimodal Embedding and Backtracking Search in Vision-and-Language Navigation
This study proposes a novel deep neural network model (JMEBS), with joint multimodal embedding and backtracking search for VLN tasks. The proposed JMEBS model uses a transformer-based joint multimodal embedding module. JMEBS uses both multimodal context and temporal context. It also employs backtracking-enabled greedy local search (BGLS), a novel algorithm with a backtracking feature designed to improve the task success rate and optimize the navigation path, based on the local and global scores related to candidate actions. A novel global scoring method is also used for performance improvement by comparing the partial traj...
Source: Sensors - February 2, 2021 Category: Biotechnology Authors: Hwang Kim Tags: Article Source Type: research

Sensors, Vol. 21, Pages 1224: A Modified Sparrow Search Algorithm with Application in 3d Route Planning for UAV
g Cheng The unmanned aerial vehicle (UAV) route planning problem mainly centralizes on the process of calculating the best route between the departure point and target point as well as avoiding obstructions on route to avoid collisions within a given flight area. A highly efficient route planning approach is required for this complex high dimensional optimization problem. However, many algorithms are infeasible or have low efficiency, particularly in the complex three-dimensional (3d) flight environment. In this paper, a modified sparrow search algorithm named CASSA has been presented to deal with this problem. Firs...
Source: Sensors - February 9, 2021 Category: Biotechnology Authors: Liu Shu Liang Peng Cheng Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5297: Coordinated Approach Fusing RCMDE and Sparrow Search Algorithm-Based SVM for Fault Diagnosis of Rolling Bearings
n Zhang We propose a novel fault-diagnosis approach for rolling bearings by integrating variational mode decomposition (VMD), refined composite multiscale dispersion entropy (RCMDE), and support vector machine (SVM) optimized by a sparrow search algorithm (SSA). Firstly, VMD was selected from various signal decomposition methods to decompose the original signal. Then, the signal features were extracted by RCMDE as the input of the diagnosis model. Compared with multiscale sample entropy (MSE) and multiscale dispersion entropy (MDE), RCMDE proved to be superior. Afterwards, SSA was used to search the optimal parameters ...
Source: Sensors - August 5, 2021 Category: Biotechnology Authors: Jie Lv Wenlei Sun Hongwei Wang Fan Zhang Tags: Article Source Type: research

Sensors, Vol. 22, Pages 993: Deep Learning Empowered Wearable-Based Behavior Recognition for Search and Rescue Dogs
Z. Patrikakis Search and Rescue (SaR) dogs are important assets in the hands of first responders, as they have the ability to locate the victim even in cases where the vision and or the sound is limited, due to their inherent talents in olfactory and auditory senses. In this work, we propose a deep-learning-assisted implementation incorporating a wearable device, a base station, a mobile application, and a cloud-based infrastructure that can first monitor in real-time the activity, the audio signals, and the location of a SaR dog, and second, recognize and alert the rescuing team whenever the SaR dog spots a victim. F...
Source: Sensors - January 27, 2022 Category: Biotechnology Authors: Panagiotis Kasnesis Vasileios Doulgerakis Dimitris Uzunidis Dimitris G. Kogias Susana I. Funcia Marta B. Gonz ález Christos Giannousis Charalampos Z. Patrikakis Tags: Article Source Type: research

Sensors, Vol. 22, Pages 1275: Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification
In this study, the structural damage identification scheme is formulated as an optimization problem, and a new meta-heuristic optimization algorithm, called visible particle series search (VPSS), is proposed to tackle that. The proposed VPSS algorithm is inspired by the visibility graph technique, which is a technique used basically to convert a time series into a graph network. In the proposed VPSS algorithm, the population of candidate solutions is regarded as a particle series and is further mapped into a visibility graph network to obtain visible particles. The information captured from the visible particles is then ut...
Source: Sensors - February 8, 2022 Category: Biotechnology Authors: Pooya Mohebian Seyed Bahram Beheshti Aval Mohammad Noori Naiwei Lu Wael A. Altabey Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6737: Cooperative Search Method for Multiple UAVs Based on Deep Reinforcement Learning
ang In this paper, a cooperative search method for multiple UAVs is proposed to solve the problem of low efficiency of multi-UAV task execution by using a cooperative game with incomplete information. To improve search efficiency, CBBA (Consensus-Based Bundle Algorithm) is applied to designate the tasks area for each UAV. Then, Independent Deep Reinforcement Learning (IDRL) is used to solve Nash equilibrium to improve UAVs’ collaborations. The proposed reward function is smartly developed to guide UAVs to fly along the path with higher reward value while avoiding the collisions between UAVs during flights...
Source: Sensors - September 6, 2022 Category: Biotechnology Authors: Mingsheng Gao Xiaoxuan Zhang Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7025: An Efficient CS-Based Spectral Peak Search Method
Sun Spectral peak search is an essential part of the frequency domain parametric method. In this paper, a spectral peak search algorithm employing the principle of compressed sensing (CS) is proposed to rapidly estimate the spectral peaks. The algorithm adopts fast Fourier transform (FFT) with a few points to obtain the coarsely estimated spectral peak positions, and then only three small-scale inner products are iteratively calculated by increasing the input sequence length to rapidly refine the estimated positions. Compared with the conventional methods, this algorithm can directly capture the exact locations of spec...
Source: Sensors - September 16, 2022 Category: Biotechnology Authors: Bingbing Chen Yufa Sun Tags: Article Source Type: research

Sensors, Vol. 23, Pages 704: Sine-SSA-BP Ship Trajectory Prediction Based on Chaotic Mapping Improved Sparrow Search Algorithm
Conclusions: The test results show that the Sine-SSA-BP neural network has higher prediction accuracy and better stability than conventional LSTM and SVM, especially in the prediction of corners, which is in good agreement with the real ship navigation trajectory.
Source: Sensors - January 8, 2023 Category: Biotechnology Authors: Yuanzhou Zheng Lei Li Long Qian Bosheng Cheng Wenbo Hou Yuan Zhuang Tags: Article Source Type: research