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Total 1395 results found since Jan 2013.

Sensors, Vol. 21, Pages 444: Efficient Resource-Aware Convolutional Neural Architecture Search for Edge Computing with Pareto-Bayesian Optimization
Meng Zhang With the development of deep learning technologies and edge computing, the combination of them can make artificial intelligence ubiquitous. Due to the constrained computation resources of the edge device, the research in the field of on-device deep learning not only focuses on the model accuracy but also on the model efficiency, for example, inference latency. There are many attempts to optimize the existing deep learning models for the purpose of deploying them on the edge devices that meet specific application requirements while maintaining high accuracy. Such work not only requires professional knowled...
Source: Sensors - January 10, 2021 Category: Biotechnology Authors: Zhao Yang Shengbing Zhang Ruxu Li Chuxi Li Miao Wang Danghui Wang Meng Zhang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7398: Multi-UAV Collaborative Search and Attack Mission Decision-Making in Unknown Environments
ng Fu To address the challenge of coordinated combat involving multiple UAVs in reconnaissance and search attacks, we propose the Multi-UAV Distributed Self-Organizing Cooperative Intelligence Surveillance and Combat (CISCS) strategy. This strategy employs distributed control to overcome issues associated with centralized control and communication difficulties. Additionally, it introduces a time-constrained formation controller to address the problem of unstable multi-UAV formations and lengthy formation times. Furthermore, a multi-task allocation algorithm is designed to tackle the issue of allocating multiple tasks t...
Source: Sensors - August 24, 2023 Category: Biotechnology Authors: Zibin Liang Qing Li Guodong Fu Tags: Article Source Type: research

Sensors, Vol. 19, Pages 1758: Intelligent Beetle Antennae Search for UAV Sensing and Avoidance of Obstacles
Dechao Chen Based on a bio-heuristic algorithm, this paper proposes a novel path planner called obstacle avoidance beetle antennae search (OABAS) algorithm, which is applied to the global path planning of unmanned aerial vehicles (UAVs). Compared with the previous bio-heuristic algorithms, the algorithm proposed in this paper has advantages of a wide search range and breakneck search speed, which resolves the contradictory requirements of the high computational complexity of the bio-heuristic algorithm and real-time path planning of UAVs. Besides, the constraints used by the proposed algorithm satisfy various charact...
Source: Sensors - April 11, 2019 Category: Biotechnology Authors: Qing Wu Xudong Shen Yuanzhe Jin Zeyu Chen Shuai Li Ameer Hamza Khan Dechao Chen Tags: Article Source Type: research

Sensors, Vol. 20, Pages 3962: The Impact of the Improved Search Object Detection on the SAR Action Success Probability in Maritime Transport
Januszko This paper presents the investigations on the improvement of search object detection during search and rescue (SAR) action at sea using thermal imaging and radar sensors. The introduction of new materials in the construction of lifesaving appliances increasing their detectability has been studied for the selected example of a pneumatic life raft. The research was based on laboratory tests and open sea trials. The presented experimental investigations on the new materials that can be used for pneumatic life raft construction showed the enhancement of its thermal and radar signatures, which directly affect life...
Source: Sensors - July 15, 2020 Category: Biotechnology Authors: Zbigniew Burciu Teresa Abramowicz-Gerigk Wojciech Przybyl Ireneusz Plebankiewicz Adam Januszko Tags: Article Source Type: research

Sensors, Vol. 19, Pages 5338: Beam Search Algorithm for Ship Anti-Collision Trajectory Planning
tr Wolejsza The biggest challenges in the maritime environment are accidents and excessive fuel consumption. In order to improve the safety of navigation at sea and to reduce fuel consumption, the strategy of anti-collision, shortest trajectory planning is proposed. The strategy described in this paper is based on the beam search method. The beam search algorithm (BSA) takes into account many safe trajectories for the present ship and chooses the best in terms of length and other criteria. The risk of collision of present ship with any target ships is detected when the closest point of approach (CPA) of the present shi...
Source: Sensors - December 3, 2019 Category: Biotechnology Authors: Joanna Karbowska-Chilinska Jolanta Koszelew Krzysztof Ostrowski Piotr Kuczynski Eric Kulbiej Piotr Wolejsza Tags: Article Source Type: research

Sensors, Vol. 16, Pages 1452: RSS-Based Method for Sensor Localization with Unknown Transmit Power and Uncertainty in Path Loss Exponent
The localization of a sensor in wireless sensor networks (WSNs) has now gained considerable attention. Since the transmit power and path loss exponent (PLE) are two critical parameters in the received signal strength (RSS) localization technique, many RSS-based location methods, considering the case that both the transmit power and PLE are unknown, have been proposed in the literature. However, these methods require a search process, and cannot give a closed-form solution to sensor localization. In this paper, a novel RSS localization method with a closed-form solution based on a two-step weighted least squares estimator i...
Source: Sensors - September 7, 2016 Category: Biotechnology Authors: Jiyan Huang Peng Liu Wei Lin Guan Gui Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5685: An RSS Transform —Based WKNN for Indoor Positioning
Sensors, Vol. 21, Pages 5685: An RSS Transform—Based WKNN for Indoor Positioning Sensors doi: 10.3390/s21175685 Authors: Rong Zhou Yexi Yang Puchun Chen An RSS transform–based weighted k-nearest neighbor (WKNN) indoor positioning algorithm, Q-WKNN, is proposed to improve the positioning accuracy and real-time performance of Wi-Fi fingerprint–based indoor positioning. To smooth the RSS fluctuation difference caused by acquisition equipment, time, and environment changes, base Q is introduced in Q-WKNN to transform RSS to Q-based RSS, based on the relationship between the received signal strength (RSS) and ...
Source: Sensors - August 24, 2021 Category: Biotechnology Authors: Rong Zhou Yexi Yang Puchun Chen Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8562: A Multi-AUV Maritime Target Search Method for Moving and Invisible Objects Based on Multi-Agent Deep Reinforcement Learning
This study focuses on target search by multiple autonomous underwater vehicles (AUV) and investigates a multi-agent target search method (MATSMI) for moving and invisible objects. In the MATSMI algorithm, based on the multi-agent deep deterministic policy gradient (MADDPG) method, we add spatial and temporal information to the reinforcement learning state and set up specialized rewards in conjunction with a maritime target search scenario. Additionally, we construct a simulation environment to simulate a multi-AUV search for the floating object. The simulation results show that the MATSMI method has about 20% higher search...
Source: Sensors - November 7, 2022 Category: Biotechnology Authors: Guangcheng Wang Fenglin Wei Yu Jiang Minghao Zhao Kai Wang Hong Qi Tags: Article Source Type: research

Sensors, Vol. 17, Pages 2468: Trail-Based Search for Efficient Event Report to Mobile Actors in Wireless Sensor and Actor Networks
ilong Lin In wireless sensor and actor networks, when an event is detected, the sensor node needs to transmit an event report to inform the actor. Since the actor moves in the network to execute missions, its location is always unavailable to the sensor nodes. A popular solution is the search strategy that can forward the data to a node without its location information. However, most existing works have not considered the mobility of the node, and thus generate significant energy consumption or transmission delay. In this paper, we propose the trail-based search (TS) strategy that takes advantage of actor’s mobility ...
Source: Sensors - October 27, 2017 Category: Biotechnology Authors: Zhezhuang Xu Guanglun Liu Haotian Yan Bin Cheng Feilong Lin Tags: Article Source Type: research

Sensors, Vol. 18, Pages 1472: A Cooperative Search and Coverage Algorithm with Controllable Revisit and Connectivity Maintenance for Multiple Unmanned Aerial Vehicles
ei Fu In this paper, we mainly study a cooperative search and coverage algorithm for a given bounded rectangle region, which contains several unknown stationary targets, by a team of unmanned aerial vehicles (UAVs) with non-ideal sensors and limited communication ranges. Our goal is to minimize the search time, while gathering more information about the environment and finding more targets. For this purpose, a novel cooperative search and coverage algorithm with controllable revisit mechanism is presented. Firstly, as the representation of the environment, the cognitive maps that included the target probability map (TP...
Source: Sensors - May 8, 2018 Category: Biotechnology Authors: Zhong Liu Xiaoguang Gao Xiaowei Fu Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2158: Hidden Policy Attribute-Based Data Sharing with Direct Revocation and Keyword Search in Cloud Computing
ei Yang Attribute-based encryption can be used to realize fine-grained data sharing in open networks. However, in practical applications, we have to address further challenging issues, such as attribute revocation and data search. How do data users search for the data they need in massive amounts of data? When users leave the system, they lose the right to decrypt the shared data. In this case, how do we ensure that revoked users cannot decrypt shared data? In this paper, we successfully address these issues by proposing a hidden policy attribute-based data sharing scheme with direct revocation and keyword search. In t...
Source: Sensors - July 4, 2018 Category: Biotechnology Authors: Axin Wu Dong Zheng Yinghui Zhang Menglei Yang Tags: Article Source Type: research

Sensors, Vol. 18, Pages 2535: A Probabilistic Target Search Algorithm Based on Hierarchical Collaboration for Improving Rapidity of Drones
a Finding a target quickly is one of the most important tasks in drone operations. In particular, rapid target detection is a critical issue for tasks such as finding rescue victims during the golden period, environmental monitoring, locating military facilities, and monitoring natural disasters. Therefore, in this study, an improved hierarchical probabilistic target search algorithm based on the collaboration of drones at different altitudes is proposed. This is a method for reducing the search time and search distance by improving the information transfer methods between high-altitude and low-altitude drones. Specifi...
Source: Sensors - August 2, 2018 Category: Biotechnology Authors: Il-Kyu Ha Tags: Article Source Type: research

Sensors, Vol. 18, Pages 3853: An Adaptive Prediction Target Search Algorithm for Multi-AUVs in an Unknown 3D Environment
n Zhang For a target search of autonomous underwater vehicles (AUVs) in a completely unknown three-dimensional (3D) underwater environment, a multi-AUV collaborative target search algorithm based on adaptive prediction is proposed in this paper. The environmental information sensed by the forward-looking sonar is used to judge the current state of view, and the AUV system uses this environmental information to perform the target search task. If there is no target in the field of view, the AUV system will judge whether all sub-regions of the current layer have been searched or not. The next sub-region for searching is d...
Source: Sensors - November 9, 2018 Category: Biotechnology Authors: Juan Li Jianxin Zhang Gengshi Zhang Bingjian Zhang Tags: Article Source Type: research

Sensors, Vol. 20, Pages 3461: Autonomous Search of Radioactive Sources through Mobile Robots
Yufeng Xiao The research of robotic autonomous radioactivity detection or radioactive source search plays an important role in the monitoring and disposal of nuclear safety and biological safety. In this paper, a method for autonomously searching for radioactive sources through mobile robots was proposed. In the method, by using a partially observable Markov decision process (POMDP), the search of autonomous unknown radioactive sources was realized according to a series of radiation information measured by mobile robot. First, the factors affecting the accuracy of radiation measurement during the robot’s ...
Source: Sensors - June 18, 2020 Category: Biotechnology Authors: Jianwen Huo Manlu Liu Konstantin A. Neusypin Haojie Liu Mingming Guo Yufeng Xiao Tags: Article Source Type: research

Sensors, Vol. 21, Pages 3576: ECS-NL: An Enhanced Cuckoo Search Algorithm for Node Localisation in Wireless Sensor Networks
g-Chi Lee Node localisation plays a critical role in setting up Wireless Sensor Networks (WSNs). A sensor in WSNs senses, processes and transmits the sensed information simultaneously. Along with the sensed information, it is crucial to have the positional information associated with the information source. A promising method to localise these randomly deployed sensors is to use bio-inspired meta-heuristic algorithms. In this way, a node localisation problem is converted to an optimisation problem. Afterwards, the optimisation problem is solved for an optimal solution by minimising the errors. Various bio-inspired algo...
Source: Sensors - May 21, 2021 Category: Biotechnology Authors: Vaibhav Kotiyal Abhilash Singh Sandeep Sharma Jaiprakash Nagar Cheng-Chi Lee Tags: Article Source Type: research