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Total 1395 results found since Jan 2013.

Sensors, Vol. 20, Pages 4115: Beam Search Algorithm for Anti-Collision Trajectory Planning for Many-to-Many Encounter Situations with Autonomous Surface Vehicles
Wołejsza A single anti-collision trajectory generation problem for an “own” vessel only is significantly different from the challenge of generating a whole set of safe trajectories for multi-surface vehicle encounter situations in the open sea. Effective solutions for such problems are needed these days, as we are entering the era of autonomous ships. The article specifies the problem of anti-collision trajectory planning in many-to-many encounter situations. The proposed original multi-surface vehicle beam search algorithm (MBSA), based on the beam search strategy, solves the problem. The ...
Source: Sensors - July 23, 2020 Category: Biotechnology Authors: Jolanta Koszelew Joanna Karbowska-Chilinska Krzysztof Ostrowski Piotr Kuczy ński Eric Kulbiej Piotr Wo łejsza Tags: Article Source Type: research

Sensors, Vol. 20, Pages 5292: NAS-HRIS: Automatic Design and Architecture Search of Neural Network for Semantic Segmentation in Remote Sensing Images
aševičius The segmentation of high-resolution (HR) remote sensing images is very important in modern society, especially in the fields of industry, agriculture and urban modelling. Through the neural network, the machine can effectively and accurately extract the surface feature information. However, using the traditional deep learning methods requires plentiful efforts in order to find a robust architecture. In this paper, we introduce a neural network architecture search (NAS) method, called NAS-HRIS, which can automatically search neural network architecture on the dataset. The proposed method embeds a directed ac...
Source: Sensors - September 15, 2020 Category: Biotechnology Authors: Mingwei Zhang Weipeng Jing Jingbo Lin Nengzhen Fang Wei Wei Marcin Wo źniak Robertas Dama ševičius Tags: Article Source Type: research

Sensors, Vol. 20, Pages 6547: Time Difference of Arrival Passive Localization Sensor Selection Method Based on Tabu Search
Yang This paper proposes a time difference of arrival (TDOA) passive positioning sensor selection method based on tabu search to balance the relationship between the positioning accuracy of the sensor network and system consumption. First, the passive time difference positioning model, taking into account the sensor position errors, is considered. Then, an approximate closed-form constrained total least-squares (CTLS) solution and a covariance matrix of the positioning error are provided. By introducing a Boolean selection vector, the sensor selection problem is transformed into an optimization problem that minimizes ...
Source: Sensors - November 16, 2020 Category: Biotechnology Authors: Qian Li Baixiao Chen Minglei Yang Tags: Article Source Type: research

Sensors, Vol. 20, Pages 6962: A Multi-User Public Key Encryption with Multi-Keyword Search out of Bilinear Pairings
gping Jin Internet of Things (IoT) and cloud computing are adopted widely in daily life and industrial production. Sensors of IoT equipment gather personal, sensitive and important data, which is stored in a cloud server. The cloud helps users to save cost and collaborate. However, the privacy of data is also at risk. Public-key encryption with keyword search (PEKS) is convenient for users to use the data without leaking privacy. In this article, we give a scheme of PEKS for a multi-user to realize the multi-keyword search at once and extend it to show a rank based on keywords match. The receiver can finish the search ...
Source: Sensors - December 5, 2020 Category: Biotechnology Authors: Shuo Zhang Qiaoyan Wen Wenmin Li Hua Zhang Zhengping Jin Tags: Article Source Type: research

Sensors, Vol. 21, Pages 7867: Collaborative Allocation and Optimization of Path Planning for Static and Mobile Sensors in Hybrid Sensor Networks for Environment Monitoring and Anomaly Search
In this study, a novel collaborative method is developed to optimize hybrid sensor networks (HSN) for environmental monitoring and anomaly search tasks. A weighted Gaussian coverage method hs been designed for static sensor allocation, and the Active Monitoring and Anomaly Search System method is adapted to mobile sensor path planning. To validate the network performance, a simulation environment has been developed for fire search and detection with dynamic temperature field and non-uniform fire probability distribution. The performance metrics adopted are the detection time lag, source localization uncertainty, and state ...
Source: Sensors - November 26, 2021 Category: Biotechnology Authors: Guo Xu Saleh Tags: Article Source Type: research

Sensors, Vol. 21, Pages 7990: Neural Architecture Search for 1D CNNs. Different Approaches Tests and Measurements
ião In the field of sensors, in areas such as industrial, clinical, or environment, it is common to find one dimensional (1D) formatted data (e.g., electrocardiogram, temperature, power consumption). A very promising technique for modelling this information is the use of One Dimensional Convolutional Neural Networks (1D CNN), which introduces a new challenge, namely how to define the best architecture for a 1D CNN. This manuscript addresses the concept of One Dimensional Neural Architecture Search (1D NAS), an approach that automates the search for the best combination of Neuronal Networks hyperparameters (model archi...
Source: Sensors - November 30, 2021 Category: Biotechnology Authors: Jo ão Rala Cordeiro Ant ónio Raimundo Octavian Postolache Pedro Sebasti ão Tags: Article Source Type: research

Sensors, Vol. 21, Pages 7990: Neural Architecture Search for 1D CNNs & mdash;Different Approaches Tests and Measurements
Sensors, Vol. 21, Pages 7990: Neural Architecture Search for 1D CNNs—Different Approaches Tests and Measurements Sensors doi: 10.3390/s21237990 Authors: João Rala Cordeiro António Raimundo Octavian Postolache Pedro Sebastião In the field of sensors, in areas such as industrial, clinical, or environment, it is common to find one dimensional (1D) formatted data (e.g., electrocardiogram, temperature, power consumption). A very promising technique for modelling this information is the use of One Dimensional Convolutional Neural Networks (1D CNN), which introduces a new challenge, namely how to define...
Source: Sensors - November 30, 2021 Category: Biotechnology Authors: Jo ão Rala Cordeiro Ant ónio Raimundo Octavian Postolache Pedro Sebasti ão Tags: Article Source Type: research

Sensors, Vol. 22, Pages 1674: A Cloud Computing-Based Modified Symbiotic Organisms Search Algorithm (AI) for Optimal Task Scheduling
ssain Al-Aqrabi The search algorithm based on symbiotic organisms’ interactions is a relatively recent bio-inspired algorithm of the swarm intelligence field for solving numerical optimization problems. It is meant to optimize applications based on the simulation of the symbiotic relationship among the distinct species in the ecosystem. The task scheduling problem is NP complete, which makes it hard to obtain a correct solution, especially for large-scale tasks. This paper proposes a modified symbiotic organisms search-based scheduling algorithm for the efficient mapping of heterogeneous tasks to access c...
Source: Sensors - February 21, 2022 Category: Biotechnology Authors: Ajoze Abdulraheem Zubair Shukor Abd Razak Md. Asri Ngadi Arafat Al-Dhaqm Wael M. S. Yafooz Abdel-Hamid M. Emara Aldosary Saad Hussain Al-Aqrabi Tags: Article Source Type: research

Sensors, Vol. 22, Pages 2867: Chaotic Search-and-Rescue-Optimization-Based Multi-Hop Data Transmission Protocol for Underwater Wireless Sensor Networks
a Rajagopal Underwater wireless sensor networks (UWSNs) have applications in several fields, such as disaster management, underwater navigation, and environment monitoring. Since the nodes in UWSNs are restricted to inbuilt batteries, the effective utilization of available energy becomes essential. Clustering and routing approaches can be employed as energy-efficient solutions for UWSNs. However, the cluster-based routing techniques developed for conventional wireless networks cannot be employed for a UWSN because of the low bandwidth, spread stay, underwater current, and error probability. To resolve these issues, thi...
Source: Sensors - April 8, 2022 Category: Biotechnology Authors: Durairaj Anuradha Neelakandan Subramani Osamah Ibrahim Khalaf Youseef Alotaibi Saleh Alghamdi Manjula Rajagopal Tags: Article Source Type: research

Sensors, Vol. 22, Pages 3702: A Coordinated Vehicle & ndash;Drone Arc Routing Approach Based on Improved Adaptive Large Neighborhood Search
Sensors, Vol. 22, Pages 3702: A Coordinated Vehicle–Drone Arc Routing Approach Based on Improved Adaptive Large Neighborhood Search Sensors doi: 10.3390/s22103702 Authors: Guohua Wu Kexin Zhao Jiaqi Cheng Manhao Ma Through urban traffic patrols, problems such as traffic congestion and accidents can be found and dealt with in time to maintain the stability of the urban traffic system. The most common way to patrol is using ground vehicles, which may be inflexible and inefficient. The vehicle–drone coordination maximizes utilizing the flexibility of drones and addresses their limited bat...
Source: Sensors - May 12, 2022 Category: Biotechnology Authors: Guohua Wu Kexin Zhao Jiaqi Cheng Manhao Ma Tags: Article Source Type: research

Sensors, Vol. 22, Pages 5910: CLSQL: Improved Q-Learning Algorithm Based on Continuous Local Search Policy for Mobile Robot Path Planning
An Chao Li How to generate the path planning of mobile robots quickly is a problem in the field of robotics. The Q-learning(QL) algorithm has recently become increasingly used in the field of mobile robot path planning. However, its selection policy is blind in most cases in the early search process, which slows down the convergence of optimal solutions, especially in a complex environment. Therefore, in this paper, we propose a continuous local search Q-Learning (CLSQL) algorithm to solve these problems and ensure the quality of the planned path. First, the global environment is gradually divided into independent l...
Source: Sensors - August 8, 2022 Category: Biotechnology Authors: Tian Ma Jiahao Lyu Jiayi Yang Runtao Xi Yuancheng Li Jinpeng An Chao Li Tags: Article Source Type: research

Sensors, Vol. 22, Pages 6176: Nature-Inspired Search Method and Custom Waste Object Detection and Classification Model for Smart Waste Bin
l Freeman Waste management is one of the challenges facing countries globally, leading to the need for innovative ways to design and operationalize smart waste bins for effective waste collection and management. The inability of extant waste bins to facilitate sorting of solid waste at the point of collection and the attendant impact on waste management process is the motivation for this study. The South African University of Technology (SAUoT) is used as a case study because solid waste management is an aspect where SAUoT is exerting an impact by leveraging emerging technologies. In this article, a convolutional neura...
Source: Sensors - August 18, 2022 Category: Biotechnology Authors: Israel Edem Agbehadji Abdultaofeek Abayomi Khac-Hoai Nam Bui Richard C. Millham Emmanuel Freeman Tags: Article Source Type: research

Sensors, Vol. 22, Pages 7656: Constrained Planar Array Thinning Based on Discrete Particle Swarm Optimization with Hybrid Search Strategies
This article presents a novel optimization algorithm for large array thinning. The algorithm is based on Discrete Particle Swarm Optimization (DPSO) integrated with some different search strategies. It utilizes a global learning strategy to improve the diversity of populations at the early stage of optimization. A dispersive solution set and the gravitational search algorithm are used during particle velocity updating. Then, a local search strategy is enabled in the later stage of optimization. The particle position is adaptively adjusted by the mutation probability, and its motion state is monitored by two observation par...
Source: Sensors - October 9, 2022 Category: Biotechnology Authors: Cai Ji Guo Mei Zeng Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8545: SCA: Search-Based Computing Hardware Architecture with Precision Scalable and Computation Reconfigurable Scheme
Zhou Deep neural networks have been deployed in various hardware accelerators, such as graph process units (GPUs), field-program gate arrays (FPGAs), and application specific integrated circuit (ASIC) chips. Normally, a huge amount of computation is required in the inference process, creating significant logic resource overheads. In addition, frequent data accessions between off-chip memory and hardware accelerators create bottlenecks, leading to decline in hardware efficiency. Many solutions have been proposed to reduce hardware overhead and data movements. For example, specific lookup-table (LUT)-based hardware arch...
Source: Sensors - November 6, 2022 Category: Biotechnology Authors: Liang Chang Xin Zhao Jun Zhou Tags: Article Source Type: research

Sensors, Vol. 22, Pages 8787: An Adaptive Sinusoidal-Disturbance-Strategy Sparrow Search Algorithm and Its Application
Liu In light of the problems of slow convergence speed, insufficient optimization accuracy and easy falling into local optima in the sparrow search algorithm, this paper proposes an adaptive sinusoidal-disturbance-strategy sparrow search algorithm (ASDSSA) and its mathematical equation. Firstly, the initial population quality of the algorithm is improved by fusing cubic chaos mapping and perturbation compensation factors; secondly, the sinusoidal-disturbance-strategy is introduced to update the mathematical equation of the discoverer’s position to improve the information exchange ability of the population...
Source: Sensors - November 14, 2022 Category: Biotechnology Authors: Feng Zheng Gang Liu Tags: Article Source Type: research