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Total 1395 results found since Jan 2013.

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

Sensors, Vol. 23, Pages 1713: Neural Architecture Search Survey: A Computer Vision Perspective
g-Hoon Park In recent years, deep learning (DL) has been widely studied using various methods across the globe, especially with respect to training methods and network structures, proving highly effective in a wide range of tasks and applications, including image, speech, and text recognition. One important aspect of this advancement is involved in the effort of designing and upgrading neural architectures, which has been consistently attempted thus far. However, designing such architectures requires the combined knowledge and know-how of experts from each relevant discipline and a series of trial-and-error steps. In t...
Source: Sensors - February 3, 2023 Category: Biotechnology Authors: Jeon-Seong Kang JinKyu Kang Jung-Jun Kim Kwang-Woo Jeon Hyun-Joon Chung Byung-Hoon Park Tags: Review Source Type: research

Sensors, Vol. 23, Pages 1984: Inception Convolution and Feature Fusion for Person Search
Leng With the rapid advancement of deep learning theory and hardware device computing capacity, computer vision tasks, such as object detection and instance segmentation, have entered a revolutionary phase in recent years. As a result, extremely challenging integrated tasks, such as person search, might develop quickly. The majority of efficient network frameworks, such as Seq-Net, are based on Faster R-CNN. However, because of the parallel structure of Faster R-CNN, the performance of re-ID can be significantly impacted by the single-layer, low resolution, and occasionally overlooked check feature diagrams retrieved ...
Source: Sensors - February 10, 2023 Category: Biotechnology Authors: Huan Ouyang Jiexian Zeng Lu Leng Tags: Article Source Type: research

Sensors, Vol. 23, Pages 2731: Joint Texture Search and Histogram Redistribution for Hyperspectral Image Quality Improvement
eng Zhang Due to optical noise, electrical noise, and compression error, data hyperspectral remote sensing equipment is inevitably contaminated by various noises, which seriously affect the applications of hyperspectral data. Therefore, it is of great significance to enhance hyperspectral imaging data quality. To guarantee the spectral accuracy during data processing, band-wise algorithms are not suitable for hyperspectral data. This paper proposes a quality enhancement algorithm based on texture search and histogram redistribution combined with denoising and contrast enhancement. Firstly, a texture-based search algori...
Source: Sensors - March 2, 2023 Category: Biotechnology Authors: Bingliang Hu Junyu Chen Yihao Wang Haiwei Li Geng Zhang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5465: Li2100deplMoO4 Scintillating Bolometers for Rare-Event Search Experiments
We report on the development of scintillating bolometers based on lithium molybdate crystals that contain molybdenum that has depleted into the double-β active isotope 100Mo (Li2100deplMoO4). We used two Li2100deplMoO4 cubic samples, each of which consisted of 45-millimeter sides and had a mass of 0.28 kg; these samples were produced following the purification and crystallization protocols developed for double-β search experiments with 100Mo-enriched Li2MoO4 crystals. Bolometric Ge detectors were utilized to register the scintillation photons that were emitted by the Li2100deplMoO4 crystal scintil...
Source: Sensors - June 9, 2023 Category: Biotechnology Authors: Iulian C. Bandac Alexander S. Barabash Laurent Berg é Yury A. Borovlev Jos é Maria Calvo-Mozota Paolo Carniti Maurice Chapellier Ioan Dafinei Fedor A. Danevich Louis Dumoulin Federico Ferri Andrea Giuliani Claudio Gotti Philippe Gras Veronika D. Grigori Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7831: TIVC: An Efficient Local Search Algorithm for Minimum Vertex Cover in Large Graphs
ang Zhu The minimum vertex cover (MVC) problem is a canonical NP-hard combinatorial optimization problem aiming to find the smallest set of vertices such that every edge has at least one endpoint in the set. This problem has extensive applications in cybersecurity, scheduling, and monitoring link failures in wireless sensor networks (WSNs). Numerous local search algorithms have been proposed to obtain “good” vertex coverage. However, due to the NP-hard nature, it is challenging to efficiently solve the MVC problem, especially on large graphs. In this paper, we propose an efficient local sear...
Source: Sensors - September 12, 2023 Category: Biotechnology Authors: Yu Zhang Shengzhi Wang Chanjuan Liu Enqiang Zhu Tags: Article Source Type: research

Sensors, Vol. 16, Pages 1390: An Effective Cuckoo Search Algorithm for Node Localization in Wireless Sensor Network
Localization is an essential requirement in the increasing prevalence of wireless sensor network (WSN) applications. Reducing the computational complexity, communication overhead in WSN localization is of paramount importance in order to prolong the lifetime of the energy-limited sensor nodes and improve localization performance. This paper proposes an effective Cuckoo Search (CS) algorithm for node localization. Based on the modification of step size, this approach enables the population to approach global optimal solution rapidly, and the fitness of each solution is employed to build mutation probability for avoiding loc...
Source: Sensors - August 30, 2016 Category: Biotechnology Authors: Jing Cheng Linyuan Xia Tags: Article Source Type: research