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Total 1395 results found since Jan 2013.

Sensors, Vol. 23, Pages 7929: A Fusion Positioning Method for Indoor Geomagnetic/Light Intensity/Pedestrian Dead Reckoning Based on Dual-Layer Tent & ndash;Atom Search Optimization & ndash;Back Propagation
Sensors, Vol. 23, Pages 7929: A Fusion Positioning Method for Indoor Geomagnetic/Light Intensity/Pedestrian Dead Reckoning Based on Dual-Layer Tent–Atom Search Optimization–Back Propagation Sensors doi: 10.3390/s23187929 Authors: Yuchen Han Xuexiang Yu Ping Zhu Xingxing Xiao Min Wei Shicheng Xie Indoor positioning using smartphones has garnered significant research attention. Geomagnetic and sensor data offer convenient methods for achieving this goal. However, conventional geomagnetic indoor positioning encounters several limitations, including low spatial resolution, poor accuracy, a...
Source: Sensors - September 16, 2023 Category: Biotechnology Authors: Yuchen Han Xuexiang Yu Ping Zhu Xingxing Xiao Min Wei Shicheng Xie Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7923: Fast CU Partition Algorithm for Intra Frame Coding Based on Joint Texture Classification and CNN
uliang Wang High-efficiency video coding (HEVC/H.265) is one of the most widely used video coding standards. HEVC introduces a quad-tree coding unit (CU) partition structure to improve video compression efficiency. The determination of the optimal CU partition is achieved through the brute-force search rate-distortion optimization method, which may result in high encoding complexity and hardware implementation challenges. To address this problem, this paper proposes a method that combines convolutional neural networks (CNN) with joint texture recognition to reduce encoding complexity. First, a classification decision m...
Source: Sensors - September 15, 2023 Category: Biotechnology Authors: Ting Wang Geng Wei Huayu Li ThiOanh Bui Qian Zeng Ruliang Wang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7911: MoTI: A Multi-Stage Algorithm for Moving Object Identification in SLAM
Liguo Tan Simultaneous localization and mapping (SLAM) algorithms are widely applied in fields such as autonomous driving and target tracking. However, the effect of moving objects on localization and mapping remains a challenge in natural dynamic scenarios. To overcome this challenge, this paper proposes an algorithm for dynamic point cloud detection that fuses laser and visual identification data, the multi-stage moving object identification algorithm (MoTI). The MoTI algorithm consists of two stages: rough processing and precise processing. In the rough processing stage, a statistical method is employed to prelimina...
Source: Sensors - September 15, 2023 Category: Biotechnology Authors: Changqing Hu Manlu Liu Su Zhang Yu Xie Liguo Tan Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7846: Risk-Sensitive Markov Decision Processes of USV Trajectory Planning with Time-Limited Budget
Zhu Trajectory planning plays a crucial role in ensuring the safe navigation of ships, as it involves complex decision making influenced by various factors. This paper presents a heuristic algorithm, named the Markov decision process Heuristic Algorithm (MHA), for time-optimized avoidance of Unmanned Surface Vehicles (USVs) based on a Risk-Sensitive Markov decision process model. The proposed method utilizes the Risk-Sensitive Markov decision process model to generate a set of states within the USV collision avoidance search space. These states are determined based on the reachable locations and directions considering ...
Source: Sensors - September 13, 2023 Category: Biotechnology Authors: Yi Ding Hongyang Zhu 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. 23, Pages 7792: Spectrum Sensing, Clustering Algorithms, and Energy-Harvesting Technology for Cognitive-Radio-Based Internet-of-Things Networks
iu The aim of this systematic review was to identify the correlations between spectrum sensing, clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet of things (IoT) networks in terms of deep-learning-based, nonorthogonal, multiple-access techniques. The search results and screening procedures were configured with the use of a web-based Shiny app in the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) flow design. AMSTAR, DistillerSR, Eppi-Reviewer, PICO Portal, Rayyan, and ROBIS were the review software systems harnessed for screening and quality assessme...
Source: Sensors - September 11, 2023 Category: Biotechnology Authors: Xavier Fernando George L ăzăroiu Tags: Review Source Type: research

Sensors, Vol. 23, Pages 7766: Anthropogenic Object Localization: Evaluation of Broad-Area High-Resolution Imagery Scans Using Deep Learning in Overhead Imagery
We present algorithms for localizing object detection results, as well as a methodology for the evaluation of the results of broad-area scans. Our research explores the challenges of transitioning these models out of the training–validation laboratory setting and into the real-world application domain. We show a scalable approach to leverage state-of-the-art deep convolutional neural networks for the search, detection, and annotation of objects within large swaths of imagery, with the ultimate goal of providing a methodology for evaluating object detection machine learning models in real-world scenarios.
Source: Sensors - September 8, 2023 Category: Biotechnology Authors: J. Alex Hurt Ilinca Popescu Curt H. Davis Grant J. Scott Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7623: Utilizing Motion Capture Systems for Instrumenting the OCRA Index: A Study on Risk Classification for Upper Limb Work-Related Activities
a-Bastidas In the search to enhance ergonomic risk assessments for upper limb work-related activities, this study introduced and validated the efficiency of an inertial motion capture system, paired with a specialized platform that digitalized the OCRA index. Conducted in a semi-controlled environment, the proposed methodology was compared to traditional risk classification techniques using both inertial and optical motion capture systems. The inertial method encompassed 18 units in a Bluetooth Low Energy tree topology network for activity recording, subsequently analyzed for risk using the platform. Principal outcomes...
Source: Sensors - September 2, 2023 Category: Biotechnology Authors: Pablo Aqueveque Guisella Pe ña Manuel Guti érrez Britam G ómez Enrique Germany Gustavo Retamal Paulina Ortega-Bastidas Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7575: Satellite Interference Source Direction of Arrival (DOA) Estimation Based on Frequency Domain Covariance Matrix Reconstruction
Jing Miao Direction of arrival (DOA) estimation is an effective method for detecting various active interference signals during the satellite navigation process. It can be utilized for both interference detection and anti-interference applications. This paper proposes a DOA estimation algorithm for satellite interference sources based on frequency domain covariance matrix reconstruction (FDCMR) to address various types of active interference that may occur in the satellite navigation positioning process. This algorithm can estimate the DOA of coherent signals from multiple frequency points under low signal-to-noise r...
Source: Sensors - August 31, 2023 Category: Biotechnology Authors: Jinjie Yao Changchun Zhao Jiansheng Bai Yang Ren Yangyang Wang Jing Miao Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7572: Cluster Head Selection Method for Edge Computing WSN Based on Improved Sparrow Search Algorithm
Fen Chen Sensor nodes are widely distributed in the Internet of Things and communicate with each other to form a wireless sensor network (WSN), which plays a vital role in people’s productivity and life. However, the energy of WSN nodes is limited, so this paper proposes a two-layer WSN system based on edge computing to solve the problems of high energy consumption and short life cycle of WSN data transmission and establishes wireless energy consumption and distance optimization models for sensor networks. Specifically, we propose the optimization objective of balancing load and distance factors. We ad...
Source: Sensors - August 31, 2023 Category: Biotechnology Authors: Shaoming Qiu Jiancheng Zhao Xuecui Zhang Ao Li Yahui Wang Fen Chen Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7547: A Novel AGV Path Planning Approach for Narrow Channels Based on the Bi-RRT Algorithm with a Failure Rate Threshold
Yi Yi Lu The efficiency of the rapidly exploring random tree (RRT) falls short when efficiently guiding targets through constricted-passage environments, presenting issues such as sluggish convergence speed and elevated path costs. To overcome these algorithmic limitations, we propose a narrow-channel path-finding algorithm (named NCB-RRT) based on Bi-RRT with the addition of our proposed research failure rate threshold (RFRT) concept. Firstly, a three-stage search strategy is employed to generate sampling points guided by real-time sampling failure rates. By means of the balance strategy, two randomly growing trees...
Source: Sensors - August 30, 2023 Category: Biotechnology Authors: Bin Wu Wei Zhang Xiaonan Chi Di Jiang Yang Yi Yi Lu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7513: Driving Force Analysis of Natural Wetland in Northeast Plain Based on SSA-XGBoost Model
This study provides a new method of quantitative analysis based on machine learning theory for determining the causes of natural wetland changes; it can be applied to large spatial scale areas, which is essential for a rapid monitoring of natural wetlands’ resources and an accurate decision-making on the ecological environment’s security.
Source: Sensors - August 29, 2023 Category: Biotechnology Authors: Hanlin Liu Nan Lin Honghong Zhang Yongji Liu Chenzhao Bai Duo Sun Jiali Feng Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7505: Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review
Stocker Driver behaviour monitoring is a broad area of research, with a variety of methods and approaches. Distraction from the use of electronic devices, such as smartphones for texting or talking on the phone, is one of the leading causes of vehicle accidents. With the increasing number of sensors available in vehicles, there is an abundance of data available to monitor driver behaviour, but it has only been available to vehicle manufacturers and, to a limited extent, through proprietary solutions. Recently, research and practice have shifted the paradigm to the use of smartphones for driver monitoring and have fuell...
Source: Sensors - August 29, 2023 Category: Biotechnology Authors: Efi Papatheocharous Christian Kaiser Johanna Moser Alexander Stocker Tags: Systematic Review Source Type: research

Sensors, Vol. 23, Pages 7474: Interoperable IoMT Approach for Remote Diagnosis with Privacy-Preservation Perspective in Edge Systems
‚awiak The emergence of the Internet of Medical Things (IoMT) has brought together developers from the Industrial Internet of Things (IIoT) and healthcare providers to enable remote patient diagnosis and treatment using mobile-device-collected data. However, the utilization of traditional AI systems raises concerns about patient privacy. To address this issue, we present a privacy-enhanced approach for illness diagnosis within the IoMT framework. Our proposed interoperable IoMT implementation focuses on optimizing IoT network performance, including throughput, energy consumption, latency, packet delivery ratio, and net...
Source: Sensors - August 28, 2023 Category: Biotechnology Authors: Erana Veerappa Dinesh Subramaniam Kathiravan Srinivasan Saeed Mian Qaisar Pawe Å‚ PÅ‚awiak Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7461: Performance Optimization in Frequency Estimation of Noisy Signals: Ds-IpDTFT Estimator
Juncai Xu This research presents a comprehensive study of the dichotomous search iterative parabolic discrete time Fourier transform (Ds-IpDTFT) estimator, a novel approach for fine frequency estimation in noisy exponential signals. The proposed estimator leverages a dichotomous search process before iterative interpolation estimation, which significantly reduces computational complexity while maintaining high estimation accuracy. An in-depth exploration of the relationship between the optimal parameter p and the unknown parameter δ forms the backbone of the methodology. Through extensive simulations an...
Source: Sensors - August 28, 2023 Category: Biotechnology Authors: Miaomiao Wei Yongsheng Zhu Jun Sun Xiangyang Lu Xiaomin Mu Juncai Xu Tags: Article Source Type: research