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Total 1395 results found since Jan 2013.

Sensors, Vol. 23, Pages 4814: Implementation of a Real-Time Object Pick-and-Place System Based on a Changing Strategy for Rapidly-Exploring Random Tree
ng Feng An object pick-and-place system with a camera, a six-degree-of-freedom (DOF) robot manipulator, and a two-finger gripper is implemented based on the robot operating system (ROS) in this paper. A collision-free path planning method is one of the most fundamental problems that has to be solved before the robot manipulator can autonomously pick-and-place objects in complex environments. In the implementation of the real-time pick-and-place system, the success rate and computing time of path planning by a six-DOF robot manipulator are two essential key factors. Therefore, an improved rapidly-exploring random tree (...
Source: Sensors - May 16, 2023 Category: Biotechnology Authors: Ching-Chang Wong Chong-Jia Chen Kai-Yi Wong Hsuan-Ming Feng Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4736: Robust Scan Registration for Navigation in Forest Environment Using Low-Resolution LiDAR Sensors
This study proposes a new method for robust SLAM and tree mapping using low-resolution LiDAR sensors in forestry conditions. Our method relies on tree detection to perform scan registration and pose correction using only low-resolution LiDAR sensors (16Ch, 32Ch) or narrow field of view Solid State LiDARs without additional sensory modalities like GPS or IMU. We evaluate our approach on three datasets, including two private and one public dataset, and demonstrate improved navigation accuracy, scan registration, tree localization, and tree diameter estimation compared to current approaches in forestry machine automation. Our...
Source: Sensors - May 14, 2023 Category: Biotechnology Authors: Himanshu Gupta Henrik Andreasson Achim J. Lilienthal Polina Kurtser Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4659: Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy
Huachun Tan In advanced transportation-management systems, variable speed limits are a crucial application. Deep reinforcement learning methods have been shown to have superior performance in many applications, as they are an effective approach to learning environment dynamics for decision-making and control. However, they face two significant difficulties in traffic-control applications: reward engineering with delayed reward and brittle convergence properties with gradient descent. To address these challenges, evolutionary strategies are well suited as a class of black-box optimization techniques inspired by natural ...
Source: Sensors - May 11, 2023 Category: Biotechnology Authors: Jianshuai Feng Tianyu Shi Yuankai Wu Xiang Xie Hongwen He Huachun Tan Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4536: 1-D and 2-D Direction of Arrival Estimation in a Conical Conformal Array: Design and Implementation
ofeng Gao Direction of arrival (DOA) estimation for conformal arrays is challenging due to non-omnidirectional element patterns and shadow effects. Conical conformal array (CCA) can avoid the shadow effect at small elevation angles. So CCA is suitable for DOA estimation on both azimuth and elevation angles at small elevation angles. However, the element pattern in CCA cannot be obtained by conventional directional element coordinate transformation. Its local element pattern also has connection with the cone angle. The paper establishes the CCA radiation pattern in local coordinate system using 2-D coordinate transforma...
Source: Sensors - May 6, 2023 Category: Biotechnology Authors: Hongyun Zhang Ping Li Guangwei Zhang Guolin Li Xiaofeng Gao Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4480: Dam Safety Evaluation Method after Extreme Load Condition Based on Health Monitoring and Deep Learning
This study proposes a novel data-driven fusion model for a dam safety evaluation after extreme load based on monitoring data derived by sensors. First, the relationship between dam environmental quantity and effect quantity is deeply excavated based on bidirectional long short-term memory (BiLSTM) network, which is a deeply improved LSTM model. Aiming at the parameter optimization problem of BiLSTM model, sparrow search algorithm (SSA), which is an advanced optimization algorithm, is integrated. Second, conducting the constructed SSA-BiLSTM model to estimate the change law of dam effect quantity after the extreme load. Fin...
Source: Sensors - May 4, 2023 Category: Biotechnology Authors: Jintao Song Yunhe Liu Jie Yang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4440: Detection, Location, and Classification of Multiple Dipole-like Magnetic Sources Based on L2 Norm of the Vertical Magnetic Gradient Tensor Data
en Wang In recent years, there has been a growing interest in the detection, location, and classification (DLC) of multiple dipole-like magnetic sources based on magnetic gradient tensor (MGT) data. In these applications, the tilt angle is usually used to detect the number of sources. We found that the tilt angle is only suitable for the scenario where the positive and negative signs of the magnetic sources’ inclination are the same. Therefore, we map the L2 norm of the vertical magnetic gradient tensor on the arctan function, denoted as the VMGT2 angle, to detect the number of sources. Then we use the no...
Source: Sensors - May 1, 2023 Category: Biotechnology Authors: Lin Ge Qi Han Xiaojun Tong Yizhen Wang Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4430: Enhancing Intrusion Detection Systems for IoT and Cloud Environments Using a Growth Optimizer Algorithm and Conventional Neural Networks
eh Alresheedi Intrusion detection systems (IDS) play a crucial role in securing networks and identifying malicious activity. This is a critical problem in cyber security. In recent years, metaheuristic optimization algorithms and deep learning techniques have been applied to IDS to improve their accuracy and efficiency. Generally, optimization algorithms can be used to boost the performance of IDS models. Deep learning methods, such as convolutional neural networks, have also been used to improve the ability of IDS to detect and classify intrusions. In this paper, we propose a new IDS model based on the combination of ...
Source: Sensors - April 30, 2023 Category: Biotechnology Authors: Abdulaziz Fatani Abdelghani Dahou Mohamed Abd Elaziz Mohammed A. A. Al-qaness Songfeng Lu Saad Ali Alfadhli Shayem Saleh Alresheedi Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4402: extendGAN: Transferable Data Augmentation Framework Using WGAN-GP for Data-Driven Indoor Localisation Model+
Lye Oh For indoor localisation, a challenge in data-driven localisation is to ensure sufficient data to train the prediction model to produce a good accuracy. However, for WiFi-based data collection, human effort is still required to capture a large amount of data as the representation Received Signal Strength (RSS) could easily be affected by obstacles and other factors. In this paper, we propose an extendGAN+ pipeline that leverages up-sampling with the Dirichlet distribution to improve location prediction accuracy with small sample sizes, applies transferred WGAN-GP for synthetic data generation, and ensures data q...
Source: Sensors - April 30, 2023 Category: Biotechnology Authors: Seanglidet Yean Wayne Goh Bu-Sung Lee Hong Lye Oh Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4402: extendGAN+: Transferable Data Augmentation Framework Using WGAN-GP for Data-Driven Indoor Localisation Model
Lye Oh For indoor localisation, a challenge in data-driven localisation is to ensure sufficient data to train the prediction model to produce a good accuracy. However, for WiFi-based data collection, human effort is still required to capture a large amount of data as the representation Received Signal Strength (RSS) could easily be affected by obstacles and other factors. In this paper, we propose an extendGAN+ pipeline that leverages up-sampling with the Dirichlet distribution to improve location prediction accuracy with small sample sizes, applies transferred WGAN-GP for synthetic data generation, and ensures data qu...
Source: Sensors - April 30, 2023 Category: Biotechnology Authors: Seanglidet Yean   Wayne Goh Bu-Sung Lee Hong Lye Oh Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4383: Cluster-Locating Algorithm Based on Deep Learning for Silicon Pixel Sensors
In this study, we constructed and compared the performance of one-stage detection algorithms with the representative YOLO (You Only Look Once) framework and two-stage detection algorithms with an RCNN (region-based convolutional neural network). In addition, we also compared transformer-based backbones and CNN-based backbones. The dataset was obtained from a heavy-ion test on a Topmetal-M silicon pixel sensor at HIRFL. Heavy-ion tests were performed on the Topmetal-M silicon pixel sensor to establish the dataset for training and validation. In general, we achieved state-of-the-art results: 68.0% AP (average precision) at a...
Source: Sensors - April 28, 2023 Category: Biotechnology Authors: Fatai Mai Haibo Yang Dong Wang Gang Chen Ruxin Gao Xurong Chen Chengxin Zhao Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4313: Vehicle Logo Recognition Using Spatial Structure Correlation and YOLO-T
aoyu Zhao The vehicle logo contains the vehicle’s identity information, so vehicle logo detection (VLD) technology has extremely important significance. Although the VLD field has been studied for many years, the detection task is still difficult due to the small size of the vehicle logo and the background interference problem. To solve these problems, this paper proposes a method of VLD based on the YOLO-T model and the correlation of the vehicle space structure. Aiming at the small size of the vehicle logo, we propose a vehicle logo detection network called YOLO-T. It integrates multiple receptive field...
Source: Sensors - April 27, 2023 Category: Biotechnology Authors: Li Song Weidong Min Linghua Zhou Qi Wang Haoyu Zhao Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4303: ML Approach to Improve the Costs and Reliability of a Wireless Sensor Network
sal Temperature-controlled closed-loop systems are vital to the transportation of produce. By maintaining specific transportation temperatures and adjusting to environmental factors, these systems delay decomposition. Wireless sensor networks (WSN) can be used to monitor the temperature levels at different locations within these transportation containers and provide feedback to these systems. However, there are a range of unique challenges in WSN implementations, such as the cost of the hardware, implementation difficulties, and the general ruggedness of the environment. This paper presents the novel results of a real-...
Source: Sensors - April 26, 2023 Category: Biotechnology Authors: Mehmet Bugrahan Ayanoglu Ismail Uysal Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4259: Wearable Motion Capture Devices for the Prevention of Work-Related Musculoskeletal Disorders in Ergonomics & mdash;An Overview of Current Applications, Challenges, and Future Opportunities
Sensors, Vol. 23, Pages 4259: Wearable Motion Capture Devices for the Prevention of Work-Related Musculoskeletal Disorders in Ergonomics—An Overview of Current Applications, Challenges, and Future Opportunities Sensors doi: 10.3390/s23094259 Authors: Carl Mikael Lind Farhad Abtahi Mikael Forsman Work-related musculoskeletal disorders (WMSDs) are a major contributor to disability worldwide and substantial societal costs. The use of wearable motion capture instruments has a role in preventing WMSDs by contributing to improvements in exposure and risk assessment and potentially improved effectiveness in ...
Source: Sensors - April 25, 2023 Category: Biotechnology Authors: Carl Mikael Lind Farhad Abtahi Mikael Forsman Tags: Review Source Type: research

Sensors, Vol. 23, Pages 4206: Progressively Hybrid Transformer for Multi-Modal Vehicle Re-Identification
nqing Zhu Multi-modal (i.e., visible, near-infrared, and thermal-infrared) vehicle re-identification has good potential to search vehicles of interest in low illumination. However, due to the fact that different modalities have varying imaging characteristics, a proper multi-modal complementary information fusion is crucial to multi-modal vehicle re-identification. For that, this paper proposes a progressively hybrid transformer (PHT). The PHT method consists of two aspects: random hybrid augmentation (RHA) and a feature hybrid mechanism (FHM). Regarding RHA, an image random cropper and a local region hybrider are desi...
Source: Sensors - April 23, 2023 Category: Biotechnology Authors: Wenjie Pan Linhan Huang Jianbao Liang Lan Hong Jianqing Zhu Tags: Article Source Type: research

Sensors, Vol. 23, Pages 4186: A Practice-Distributed Thunder-Localization System with Crowd-Sourced Smart IoT Devices
ei Wang Lightning localization is of great significance to weather forecasting, forest fire prevention, aviation, military, and other aspects. Traditional lightning localization requires the deployment of base stations and expensive measurement equipment. With the development of IoT technology and the continuous expansion of application scenarios, IoT devices can be interconnected through sensors and other technical means to ultimately achieve the goal of automatic intelligent computing. Therefore, this paper proposes a low-cost distributed thunder-localization system based on IoT smart devices, namely ThunderLoc. The ...
Source: Sensors - April 22, 2023 Category: Biotechnology Authors: Bingxian Lu Ruochen Wang Zhenquan Qin Lei Wang Tags: Article Source Type: research