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Total 1478 results found since Jan 2013.

Sensors, Vol. 20, Pages 4449: Diffusion Parameters Analysis in a Content-Based Image Retrieval Task for Mobile Vision
a Prati Most recent computer vision tasks take into account the distribution of image features to obtain more powerful models and better performance. One of the most commonly used techniques to this purpose is the diffusion algorithm, which fuses manifold data and k-Nearest Neighbors (kNN) graphs. In this paper, we describe how we optimized diffusion in an image retrieval task aimed at mobile vision applications, in order to obtain a good trade-off between computation load and performance. From a computational efficiency viewpoint, the high complexity of the exhaustive creation of a full kNN graph for a large database ...
Source: Sensors - August 8, 2020 Category: Biotechnology Authors: Federico Magliani Laura Sani Stefano Cagnoni Andrea Prati Tags: Article Source Type: research

Sensors, Vol. 20, Pages 5062: Rate Dependent Krasnoselskii-Pokrovskii Modeling and Inverse Compensation Control of Piezoceramic Actuated Stages
ei Zhou The piezoceramic actuated stages have rate-dependent hysteresis nonlinearity, which is not simply related to the current and historical input, but also related to the frequency of the input signal, seriously affects its positioning accuracy. Consider the influence of frequency on hysteresis modeling, a rate-dependent hysteresis nonlinearity model that is based on Krasnoselskii–Pokrovskii (KP) operator is proposed in this paper. A hybrid optimization algorithm of improved particle swarm optimization and cuckoo search is employed in order to identify the density function of rate-dependent KP model, ...
Source: Sensors - September 5, 2020 Category: Biotechnology Authors: Wenjun Li Linlin Nie Ying Liu Miaolei Zhou Tags: Article Source Type: research

Sensors, Vol. 20, Pages 5730: Instantaneous Ambiguity Reinitialization and Fast Ambiguity Initialization for L1-L2 GPS Measurements
a This paper presents a PREcise and Fast Method of Ambiguity Reinitialization/Resolution (PREFMAR) for L1 and L2 in GPS measurements. The method determines NL1 and NL2 ambiguities based on the ambiguity functions: Ψ(NL1)NL1NL2 and Ψ(NL2)NL2NL1. These ambiguity functions have been described in detail in this work. The developed method of ambiguity initialization and reinitialization in relative positioning can use Global Positioning System (GPS) measurements from only two satellites and one measurement epoch. To resolve NL1 and NL2 ambiguities, a variance-covariance (VC) matrix of the float solut...
Source: Sensors - October 9, 2020 Category: Biotechnology Authors: Baku ła Tags: Article Source Type: research

Sensors, Vol. 21, Pages 203: Shortest Path Algorithm in Dynamic Restricted Area Based on Unidirectional Road Network Model
ui He Accurate and fast path calculation is essential for applications such as vehicle navigation systems and transportation network routing. Although many shortest path algorithms for restricted search areas have been developed in the past ten years to speed up the efficiency of path query, the performance including the practicability still needs to be improved. To settle this problem, this paper proposes a new method of calculating statistical parameters based on a unidirectional road network model that is more in line with the real world and a path planning algorithm for dynamically restricted search areas that cons...
Source: Sensors - December 30, 2020 Category: Biotechnology Authors: Haitao Wei Shusheng Zhang Xiaohui He Tags: Article Source Type: research

Sensors, Vol. 21, Pages 424: Photoacoustic Imaging of Human Vasculature Using LED versus Laser Illumination: A Comparison Study on Tissue Phantoms and In Vivo Humans
Kothapalli Vascular diseases are becoming an epidemic with an increasing aging population and increases in obesity and type II diabetes. Point-of-care (POC) diagnosis and monitoring of vascular diseases is an unmet medical need. Photoacoustic imaging (PAI) provides label-free multiparametric information of deep vasculature based on strong absorption of light photons by hemoglobin molecules. However, conventional PAI systems use bulky nanosecond lasers which hinders POC applications. Recently, light-emitting diodes (LEDs) have emerged as cost-effective and portable optical sources for the PAI of living subjects. Howev...
Source: Sensors - January 9, 2021 Category: Biotechnology Authors: Agrawal Kuniyil Ajith Singh Johnstonbaugh Han Pameijer Kothapalli Tags: Article Source Type: research

Sensors, Vol. 21, Pages 1076: Searching and Tracking an Unknown Number of Targets: A Learning-Based Method Enhanced with Maps Merging
o Bai Unmanned aerial vehicles (UAVs) have been widely used in search and rescue (SAR) missions due to their high flexibility. A key problem in SAR missions is to search and track moving targets in an area of interest. In this paper, we focus on the problem of Cooperative Multi-UAV Observation of Multiple Moving Targets (CMUOMMT). In contrast to the existing literature, we not only optimize the average observation rate of the discovered targets, but we also emphasize the fairness of the observation of the discovered targets and the continuous exploration of the undiscovered targets, under the assumption that the total ...
Source: Sensors - February 4, 2021 Category: Biotechnology Authors: Peng Yan Tao Jia Chengchao Bai Tags: Article Source Type: research

Sensors, Vol. 21, Pages 1816: Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models
Han Liu In this research, we propose two Particle Swarm Optimisation (PSO) variants to undertake feature selection tasks. The aim is to overcome two major shortcomings of the original PSO model, i.e., premature convergence and weak exploitation around the near optimal solutions. The first proposed PSO variant incorporates four key operations, including a modified PSO operation with rectified personal and global best signals, spiral search based local exploitation, Gaussian distribution-based swarm leader enhancement, and mirroring and mutation operations for worst solution improvement. The second proposed PSO model e...
Source: Sensors - March 5, 2021 Category: Biotechnology Authors: Hailun Xie Li Zhang Chee Peng Lim Yonghong Yu Han Liu Tags: Article Source Type: research

Sensors, Vol. 21, Pages 2868: Virtual Angle Boundary-Aware Particle Swarm Optimization to Maximize the Coverage of Directional Sensor Networks
Wei With the transition of the mobile communication networks, the network goal of the Internet of everything further promotes the development of the Internet of Things (IoT) and Wireless Sensor Networks (WSNs). Since the directional sensor has the performance advantage of long-term regional monitoring, how to realize coverage optimization of Directional Sensor Networks (DSNs) becomes more important. The coverage optimization of DSNs is usually solved for one of the variables such as sensor azimuth, sensing radius, and time schedule. To reduce the computational complexity, we propose an optimization coverage scheme with...
Source: Sensors - April 19, 2021 Category: Biotechnology Authors: Gong Cheng Huangfu Wei Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5246: A New Hybrid Algorithm for Multi-Objective Reactive Power Planning via FACTS Devices and Renewable Wind Resources
in Davarpanah The power system planning problem considering system loss function, voltage profile function, the cost function of FACTS (flexible alternating current transmission system) devices, and stability function are investigated in this paper. With the growth of electronic technologies, FACTS devices have improved stability and more reliable planning in reactive power (RP) planning. In addition, in modern power systems, renewable resources have an inevitable effect on power system planning. Therefore, wind resources make a complicated problem of planning due to conflicting functions and non-linear constraints. Th...
Source: Sensors - August 3, 2021 Category: Biotechnology Authors: Rahmad Syah Peyman Khorshidian Khorshidian Mianaei Marischa Elveny Naeim Ahmadian Dadan Ramdan Reza Habibifar Afshin Davarpanah Tags: Article Source Type: research

Sensors, Vol. 21, Pages 6135: Assessment of the Effect of Cleanliness on the Visual Inspection of Aircraft Engine Blades: An Eye Tracking Study
Conclusions—Cleaning prior to inspection leads to better results. Eye tracking revealed that inspectors used an underlying search strategy characterised by edge detection and differentiation between surface deposits and other types of damage, which contributed to better performance.
Source: Sensors - September 13, 2021 Category: Biotechnology Authors: Jonas Aust Antonija Mitrovic Dirk Pons Tags: Article Source Type: research

Sensors, Vol. 21, Pages 7790: Learning Geometry Information of Target for Visual Object Tracking with Siamese Networks
i Yan Recently, Siamese architecture has been widely used in the field of visual tracking, and has achieved great success. Most Siamese network based trackers aggregate the target information of two branches by cross-correlation. However, since the location of the sampling points in the search feature area is pre-fixed in cross-correlation operation, these trackers suffer from either background noise influence or missing foreground information. Moreover, the cross-correlation between the template and the search area neglects the geometry information of the target. In this paper, we propose a Siamese deformable cross-co...
Source: Sensors - November 23, 2021 Category: Biotechnology Authors: Hang Chen Weiguo Zhang Danghui Yan Tags: Article Source Type: research

Sensors, Vol. 21, Pages 7948: Cross-Cycled Uplink Resource Allocation over NB-IoT
Shih Before each user equipment (UE) can send data using the narrowband physical uplink shared channel (NPUSCH), each UE should periodically monitor a search space in the narrowband physical downlink control channel (NPDCCH) to decode a downlink control indicator (DCI) over narrowband Internet of Things (NB-IoT). This monitoring period, called the NPDCCH period in NB-IoT, can be flexibly adjusted for UEs with different channel qualities. However, because low-cost NB-IoT UEs operate in the half-duplex mode, they cannot monitor search spaces in NPDCCHs and transmit data in the NPUSCH simultaneously. Thus, as we observed...
Source: Sensors - November 28, 2021 Category: Biotechnology Authors: Ya-Ju Yu Yu-Hsiang Huang Yuan-Yao Shih Tags: Article Source Type: research

Sensors, Vol. 22, Pages 855: Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications
ni Optimization is an important and fundamental challenge to solve optimization problems in different scientific disciplines. In this paper, a new stochastic nature-inspired optimization algorithm called Pelican Optimization Algorithm (POA) is introduced. The main idea in designing the proposed POA is simulation of the natural behavior of pelicans during hunting. In POA, search agents are pelicans that search for food sources. The mathematical model of the POA is presented for use in solving optimization issues. The performance of POA is evaluated on twenty-three objective functions of different unimodal and multimodal...
Source: Sensors - January 23, 2022 Category: Biotechnology Authors: Pavel Trojovsk ý Mohammad Dehghani Tags: Article Source Type: research

Sensors, Vol. 22, Pages 1480: Gait Impairment in Traumatic Brain Injury: A Systematic Review
Conclusion: Gait was found to be impaired in TBI within the reviewed studies regardless of severity level (mTBI, modTBI, sevTBI), but methodological limitations of studies (transparency and reproducibility) limit clinical application. Further research is required to establish a standardised gait assessment procedure to fully determine gait impairment across the spectrum of TBI with comprehensive outcomes and consistent protocols.
Source: Sensors - February 14, 2022 Category: Biotechnology Authors: Dever Powell Graham Mason Das Marshall Vitorio Godfrey Stuart Tags: Review Source Type: research

Sensors, Vol. 22, Pages 1786: Modifying Hata-Davidson Propagation Model for Remote Sensing in Complex Environments Using a Multifactional Drone
ene The coupling of drones and IoT is a major topics in academia and industry since it significantly contributes towards making human life safer and smarter. Using drones is seen as a robust approach for mobile remote sensing operations, such as search-and-rescue missions, due to their speed and efficiency, which could seriously affect victims’ chances of survival. This paper aims to modify the Hata-Davidson empirical propagation model based on RF drone measurement to conduct searches for missing persons in complex environments with rugged areas after manmade or natural disasters. A drone was coupled with...
Source: Sensors - February 24, 2022 Category: Biotechnology Authors: Faris A. Almalki Ben Othman Soufiene Tags: Article Source Type: research