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Total 1395 results found since Jan 2013.

Sensors, Vol. 17, Pages 515: A Fast Algorithm for 2D DOA Estimation Using an Omnidirectional Sensor Array
The traditional 2D MUSIC algorithm fixes the azimuth or the elevation, and searches for the other without considering the directions of sources. A spectrum peak diffusion effect phenomenon is observed and may be utilized to detect the approximate directions of sources. Accordingly, a fast 2D MUSIC algorithm, which performs azimuth and elevation simultaneous searches (henceforth referred to as AESS) based on only three rounds of search is proposed. Firstly, AESS searches along a circle to detect the approximate source directions. Then, a subsequent search is launched along several straight lines based on these approximate d...
Source: Sensors - March 3, 2017 Category: Biotechnology Authors: Weike Nie Kaijie Xu Dazheng Feng Chase Wu Aiqin Hou Xiaoyan Yin Tags: Article Source Type: research

Sensors, Vol. 23, Pages 755: Adaptive Aquila Optimizer Combining Niche Thought with Dispersed Chaotic Swarm
Xiaoyan Li The Aquila Optimizer (AO) is a new bio-inspired meta-heuristic algorithm inspired by Aquila’s hunting behavior. Adaptive Aquila Optimizer Combining Niche Thought with Dispersed Chaotic Swarm (NCAAO) is proposed to address the problem that although the Aquila Optimizer (AO) has a strong global exploration capability, it has an insufficient local exploitation capability and a slow convergence rate. First, to improve the diversity of populations in the algorithm and the uniformity of distribution in the search space, DLCS chaotic mapping is used to generate the initial populations so that the alg...
Source: Sensors - January 9, 2023 Category: Biotechnology Authors: Yue Zhang Xiping Xu Ning Zhang Kailin Zhang Weida Dong Xiaoyan Li Tags: Article Source Type: research

Sensors, Vol. 17, Pages 1876: Path Planning for Non-Circular, Non-Holonomic Robots in Highly Cluttered Environments
zquez This paper presents an algorithm for finding a solution to the problem of planning a feasible path for a slender autonomous mobile robot in a large and cluttered environment. The presented approach is based on performing a graph search on a kinodynamic-feasible lattice state space of high resolution; however, the technique is applicable to many search algorithms. With the purpose of allowing the algorithm to consider paths that take the robot through narrow passes and close to obstacles, high resolutions are used for the lattice space and the control set. This introduces new challenges because one of the most com...
Source: Sensors - August 15, 2017 Category: Biotechnology Authors: Ricardo Samaniego Joaquin Lopez Fernando Vazquez Tags: Article Source Type: research

Sensors, Vol. 18, Pages 1977: A New Method of High-Precision Positioning for an Indoor Pseudolite without Using the Known Point Initialization
Xinzhe Wang Due to the great influence of multipath effect, noise, clock and error on pseudorange, the carrier phase double difference equation is widely used in high-precision indoor pseudolite positioning. The initial position is determined mostly by the known point initialization (KPI) method, and then the ambiguities can be fixed with the LAMBDA method. In this paper, a new method without using the KPI to achieve high-precision indoor pseudolite positioning is proposed. The initial coordinates can be quickly obtained to meet the accuracy requirement of the indoor LAMBDA method. The detailed processes of the metho...
Source: Sensors - June 20, 2018 Category: Biotechnology Authors: Yinzhi Zhao Peng Zhang Jiming Guo Xin Li Jinling Wang Fei Yang Xinzhe Wang Tags: Article Source Type: research

Sensors, Vol. 20, Pages 6403: Deep Learning Correction Algorithm for The Active Optics System
In this study, a new algorithm called deep learning correction algorithm (DLCA) is proposed to compensate for wavefront aberrations and improve the correction capability. The DLCA consists of an actor network and a strategy unit. The actor network is utilized to establish the mapping of active optics systems with disturbances and provide a search basis for the strategy unit, which can increase the search speed; The strategy unit is used to optimize the correction force, which can improve the accuracy of the DLCA. Notably, a heuristic search algorithm is applied to reduce the search time in the strategy unit. The simulation...
Source: Sensors - November 9, 2020 Category: Biotechnology Authors: Wenxiang Li Chao Kang Hengrui Guan Shen Huang Jinbiao Zhao Xiaojun Zhou Jinpeng Li Tags: Article Source Type: research

Sensors, Vol. 20, Pages 6821: Efficient Path Planing for Articulated Vehicles in Cluttered Environments
pez Motion planning and control for articulated logistic vehicles such as tugger trains is a challenging problem in service robotics. The case of tugger trains presents particular difficulties due to the kinematic complexity of these multiarticulated vehicles. Sampling-based motion planners offer a motion planning solution that can take into account the kinematics and dynamics of the vehicle. However, their planning times scale poorly for high dimensional systems, such as these articulated vehicles moving in a big map. To improve the efficiency of the sampling-based motion planners, some approaches combine these metho...
Source: Sensors - November 29, 2020 Category: Biotechnology Authors: Ricardo Samaniego Rodrigo Rodr íguez Fernando V ázquez Joaqu ín López Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5324: Application of NSGA-II to Obtain the Charging Current-Time Tradeoff Curve in Battery Based Underwater Wireless Sensor Nodes
Sosa In this paper, a novel application of the Nondominated Sorting Genetic Algorithm II (NSGA II) is presented for obtaining the charging current–time tradeoff curve in battery based underwater wireless sensor nodes. The selection of the optimal charging current and times is a common optimization problem. A high charging current ensures a fast charging time. However, it increases the maximum power consumption and also the cost and complexity of the power supply sources. This research studies the tradeoff curve between charging currents and times in detail. The design exploration methodology is based on a two nested...
Source: Sensors - August 6, 2021 Category: Biotechnology Authors: Daniel Rodr íguez Rodríguez García Juan-A. Montiel-Nelson Tom ás Bautista Javier Sosa Tags: Article Source Type: research

Sensors, Vol. 21, Pages 7936: Evolving Deep Architecture Generation with Residual Connections for Image Classification Using Particle Swarm Optimization
eng Lim Automated deep neural architecture generation has gained increasing attention. However, exiting studies either optimize important design choices, without taking advantage of modern strategies such as residual/dense connections, or they optimize residual/dense networks but reduce search space by eliminating fine-grained network setting choices. To address the aforementioned weaknesses, we propose a novel particle swarm optimization (PSO)-based deep architecture generation algorithm, to devise deep networks with residual connections, whilst performing a thorough search which optimizes important design choices. A ...
Source: Sensors - November 28, 2021 Category: Biotechnology Authors: Tom Lawrence Li Zhang Kay Rogage Chee Peng Lim Tags: Article Source Type: research

Sensors, Vol. 22, Pages 3383: Research on Coverage Optimization in a WSN Based on an Improved COOT Bird Algorithm
o Jing Yang To address the problems of uneven distribution and low coverage of wireless sensor network (WSN) nodes in random deployment, a node coverage optimization strategy with an improved COOT bird algorithm (COOTCLCO) is proposed. Firstly, the chaotic tent map is used to initialize the population, increase the diversity of the population, and lay the foundation for the global search for the optimal solutions. Secondly, the Lévy flight strategy is used to perturb the individual positions to improve the search range of the population. Thirdly, Cauchy mutation and an opposition-based learning strateg...
Source: Sensors - April 28, 2022 Category: Biotechnology Authors: Yihui Huang Jing Zhang Wei Wei Tao Qin Yuancheng Fan Xuemei Luo Jing Yang Tags: Article Source Type: research

Sensors, Vol. 22, Pages 4050: Metaheuristic Parameter Identification of Motors Using Dynamic Response Relations
This article presents the use of the equations of the dynamic response to a step input in metaheuristic algorithm for the parametric estimation of a motor model. The model equations are analyzed, and the relations in steady-state and transient-state are used as delimiters in the search. These relations reduce the number of random parameters in algorithm search and reduce the iterations to find an acceptable result. The tests were implemented in two motors of known parameters to estimate the performance of the modifications in the algorithms. Tests were carried out with three algorithms (Gray Wolf Optimizer, Jaya Algorithm,...
Source: Sensors - May 27, 2022 Category: Biotechnology Authors: Omar Rodr íguez-Abreo Juvenal Rodr íguez-Reséndiz Jos é Manuel Álvarez-Alvarado Alfonso Garc ía-Cerezo Tags: Article Source Type: research

Sensors, Vol. 22, Pages 5115: An Investigation on the Influence of Operation Experience on Virtual Hazard Perception Using Wearable Eye Tracking Technology
Xin Wang Poor electrical hazard recognition is a widespread issue in the production industry. Hazard perception has impacts workers’ hazard recognition, causing them to experience unanticipated hazard exposure and suffer catastrophic injuries. To improve the factors of affecting hazard perception, the current study examined hazard recognition as an everyday visual search task. A comparative test was carried out combining the advantages and disadvantages of the two test methods. It was confirmed that the virtual image test data can replace the real image test data and demonstrate superior flexible setting...
Source: Sensors - July 7, 2022 Category: Biotechnology Authors: Siyu Li Yongqing Jiang Chao Sun Kangkang Guo Xin Wang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 606: A Flower Pollination Optimization Algorithm Based on Cosine Cross-Generation Differential Evolution
Yanfei Wu The flower pollination algorithm (FPA) is a novel heuristic optimization algorithm inspired by the pollination behavior of flowers in nature. However, the global and local search processes of the FPA are sensitive to the search direction and parameters. To solve this issue, an improved flower pollination algorithm based on cosine cross-generation differential evolution (FPA-CCDE) is proposed. The algorithm uses cross-generation differential evolution to guide the local search process, so that the optimal solution is achieved and sets cosine inertia weights to increase the search convergence speed. At the same...
Source: Sensors - January 5, 2023 Category: Biotechnology Authors: Yunjian Jia Shankun Wang Liang Liang Yaxing Wei Yanfei Wu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 1475: Robust Moth-Inspired Algorithm for Odor Source Localization Using Multimodal Information
Hosoda Odor-source localization, by which one finds the source of an odor by detecting the odor itself, is an important ability to possess in order to search for leaking gases, explosives, and disaster survivors. Although many animals possess this ability, research on implementing olfaction in robotics is still developing. We developed a novel algorithm that enables a robot to localize an odor source indoors and outdoors by taking inspiration from the adult male silk moth, which we used as the target organism. We measured the female-localization behavior of the silk moth by using a virtual reality (VR) system to obtai...
Source: Sensors - January 28, 2023 Category: Biotechnology Authors: Shunsuke Shigaki Mayu Yamada Daisuke Kurabayashi Koh Hosoda 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 3626: Optimized Design of Distributed Quasi-Cyclic LDPC Coded Spatial Modulation
ongjun Xu We propose a distributed quasi-cyclic low-density parity-check (QC-LDPC) coded spatial modulation (D-QC-LDPCC-SM) scheme with source, relay and destination nodes. At the source and relay, two distinct QC-LDPC codes are used. The relay chooses partial source information bits for further encoding, and a distributed code corresponding to each selection is generated at the destination. To construct the best code, the optimal information bit selection algorithm by exhaustive search in the relay is proposed. However, the exhaustive-based search algorithm has large complexity for QC-LDPC codes with long block length...
Source: Sensors - March 30, 2023 Category: Biotechnology Authors: Chunli Zhao Fengfan Yang Daniel Kariuki Waweru Chen Chen Hongjun Xu Tags: Article Source Type: research