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Improvement of sensing precision for surface plasmon resonance sensor based on optimization of centroid algorithm

OPTICAL AND QUANTUM ELECTRONICS 2024年第7期56卷 1279-1279页

作者： Yu, Xiao-Yu Anhui Vocat & Tech Coll Dept Intelligent Mfg Hefei Peoples R China

Surface plasmon resonance (SPR) sensor is a fast, label-free and real-time optical sensing technology. In this paper, an improved data-processing method of centroid algorithm was employed and the Fast Fourier Transform algorithm (FFT) was also adopted to improve the standard deviation (SD) of resonance angle, a representative of sensing precision. The significant parameters in this study are the height ratio and selected spectrum width of centroid algorithm and the FFT cut-off frequency. To generate a RI change of sensing medium, pure water and 3 g/L NaCl solution were prepared for experiments. The SD was optimized in case of pure water, and then the RI sensitivity was also calculated for comparison. As results, two optimized regions were obtained, those are upper and under regions. The upper region is related with the selected spectrum width, and a low FFT cut-off frequency was suitable. The under region has a little change with the spectrum width and the FFT cut-off frequency. In experiments, the resolution of 2.11 x 10- 6 RIU was obtained with samples of ultrapure water and 3 g/L NaCl solution. Furthermore, the limit of detection for BSA molecule as low as 8.36 pM was achieved without any other noise reduction method. This study aims to provide a new design idea and theoretical support for the optimal design of SPR sensor, and has an important research significance and application prospect in the fields of environmental monitoring and biochemical sensing.

关键词： Surface plasmon resonance centroid algorithm Sensing precision Fast Fourier transform Sensor

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A 3-D Near-Field Source Localization Approach Based on the Combination of a Phase Interferometer, the centroid algorithm and the Perpendicular Foot algorithm

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SENSORS 2024年第19期24卷 6364页

作者： Qin, Zhijun Xie, Tengfei Xie, Chen Ma, Ziwei He, Di Chen, Xin Yu, Wenxian Jiangxi Gen Inst Testing & Certificat Inst Special Equipment Inspect & Res Nanchang 330029 Peoples R China Shanghai Jiao Tong Univ Shanghai Key Lab Nav & Locat Based Serv 800 Dongchuan Rd Shanghai 200240 Peoples R China

In this study, several 3-dimensional (3-D) parameter estimation and localization algorithms for wireless near-field (NF) sources are proposed employing the uniform circular array (UCA) structure. In the single-base-station case, the algebraic relation is demonstrated between the azimuth angle under the far-field (FF) assumption and the actual NF source firstly. Secondly, two groups of antenna pairs are selected with distances less than half the wavelength, which are called short baselines in the interferometer method. The foregoing short-baseline method is qualified to localize an NF source. In addition, a long-baseline method is also proposed with further research. Two groups of antenna pairs with distances greater than half the wavelength are selected as two long baselines. In the multiple-base-stations case, another two novel algorithms are also proposed. The first one is the centroid algorithm, which is based on the centroid calculation of three estimated source locations. And the second one is the perpendicular foot algorithm, which takes the perpendicular foot within three estimated source locations as the final positioning location. Simulation results illustrate that the proposed algorithms can achieve higher localization accuracy than the conventional 3-D Root MUSIC method. Moreover, the long-baseline method performs better than the short-baseline method. And it is also shown that the proposed perpendicular foot algorithm shows better performance than the proposed centroid algorithm.

关键词： near-field (NF) source Root MUSIC phase interferometer centroid algorithm perpendicular foot algorithm 3-dimensional (3-D) localization

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Improved centroid algorithm for Beam Stability Control System

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IEEE ACCESS 2022年 10卷 40852-40859页

作者： Liu, Huan Wang, Chunyan Sun, Hao He, Xiaodong Changchun Univ Sci & Technol Coll Optoelect Engn Changchun 130022 Peoples R China

In order to eliminate the beam jitter caused by the air disturbance and the vibrating devices, the error of light spotted jitter must be detected firstly. The beam jitter error can be corrected by a compensator to realize the beam stability control system. In this paper, an Improved centroid algorithm (ICA) combining with the Gaussian Fitting algorithm (GFA), the Bilinear Interpolation and the Weighted Center of Mass (WCOM) was proposed. A Gaussian template is used to roughly locate the spot image in order to improve the efficiency and stability of the algorithm. The light spot image is interpolated by the Bilinear Interpolation to improve the accuracy of centroid identification. The identification accuracy and efficiency of the algorithm were verified by 100 sets of light spot experiments. The experimental results showed that the identification accuracy and efficiency of the Improved centroid algorithm were higher than those of the other algorithms. Our algorithm was of great significance for improving the performance of the beam stability control system.

关键词： Interpolation Manganese Jitter Optical distortion Stability criteria Optical filters Adaptive optics Adaptive optics bilinear interpolation centroid algorithm Gaussian fitting

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Resolution enhancement of angular plasmonic biochemical sensors via optimizing centroid algorithm

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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2022年 223卷 104531-104531页

作者： Wang, Guiqiang Shi, Junjie Zhang, Qi Wang, Ruilong Huang, Liang Hefei Univ Technol Sch Instrument Sci & Optoelect Engn Hefei 230009 Anhui Peoples R China Hefei Univ Technol Anhui Prov Key Lab Measuring Theory & Precis Inst Hefei 230009 Anhui Peoples R China

In this paper, a simple removable post-processing method was employed to improve the pixel-angle resolutions for different surface plasmon resonance (SPR) biochemical sensors. Compared with conventional centroid algorithm, dip span and height proportion of our enhanced algorithm were optimized simultaneously. To improve sensing stability when resonance angle shifting, the calculation region varies with the resonance angle. Besides, FFT algorithm and adjacent-averaging smoothing algorithm were also introduced into our proposed algorithm. It was found that FFT algorithm could reduce standard deviation of resonance angle for dynamic baseline algorithm. Adjacent-averaging smoothing algorithm with an average number of 10 points could also reduce standard deviation of resonance angle. The refractive index (RI) resolution could reach 1.55 x 10(-6) RIU, 5.52 x 10(-7) RIU and 8.47 x 10(-7) RIU for conventional Au-based SPR sensor, MSF and PAA-based plasmonic waveguide resonance (PWR) sensors, respectively. In biochemical sensing experiments, the limit of detection (LOD) of Zn2+ ion for MSF-based PWR chemical sensor could obtain 14.86 nM. The LOD of BSA protein could obtain 5.68 pM for PAA-based PWR biosensor. Further, Ag-based SPR biosensor modified with rabbit IgG was used to detect goat antirabbit IgG and a LOD of 9.93 pM was achieved.

关键词： Surface plasmon resonance centroid algorithm Adjacent-averaging smoothing method Fast Fourier transform Biochemical sensor

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Optimisation method with node selection and centroid algorithm in underwater received signal strength localisation

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IET RADAR SONAR AND NAVIGATION 2020年第11期14卷 1681-1689页

作者： Zhao, Chen Zhu, Wenxiang Qiao, Gang Zhou, Feng Harbin Engn Univ Acoust Sci & Technol Lab Harbin 150001 Peoples R China Harbin Engn Univ Minist Ind & Informat Technol Key Lab Marine Informat Acquisit & Secur Harbin 150001 Peoples R China Harbin Engn Univ Coll Underwater Acoust Engn Harbin 150001 Peoples R China Harbin Engn Univ Coll Informat & Commun Engn Harbin 150001 Peoples R China

Target localisation is one of the key technologies and a performance metric in underwater acoustic sensor networks. A number of range-free and range-based localisation algorithms are proposed. Among them a range-based localisation algorithm: weighted centroid localisation (WCL) is widely used due to the relatively simple implementation and better localisation. The accuracy of WCL, however, is reduced when the sensor nodes are farther from the centre or inappropriate nodes are selected to perform the localisation. This study proposes a novel and an efficient node optimisation algorithm based on received signal strength and weighted centroid. The proposed algorithm consists of three stages: (a) to estimate a rough region of the target node using bearing line and azimuth;(b) to calculate the optimal localisation region by the optimal localisation region function, and then (c) compare the overlap area of the rough region of the target node and the optimal localisation region to select the optimal localisation node. Simulation experiments show that the proposed optimal localisation region function can accurately represent the optimal localisation region of the geometrical figure, composed of different nodes. The study compares the performance of our proposed algorithm with the typical WCL algorithm, and clearly shows significant improvement in the localisation accuracy.

关键词： optimisation wireless sensor networks sensor placement underwater acoustic communication node selection centroid algorithm underwater received signal strength localisation target localisation underwater acoustic sensor networks range-based localisation algorithm weighted centroid localisation sensor nodes efficient node optimisation algorithm rough region target node optimal localisation region function optimal localisation node typical WCL algorithm localisation accuracy

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Control of Wheeled Mobile Robot Using centroid algorithm

Control of Wheeled Mobile Robot Using Centroid Algorithm

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IEEE International Conference on Innovations in Power and Advanced Computing Technologies

作者： Ghildiyal, Sushil Bhimani, Kishankumar Mani, Geetha Subashini, Monica Stotckaia, Anastasiia VIT Univ Sch Elect Engn Vellore Tamil Nadu India St Petersburg Electrotech Univ Automat Control Syst St Petersburg Russia

ISBN: (纸本)9781538681909

In today's developing technology, industries are playing important role for the betterment of life and society. But in industries many functions are running under hazardous conditions, so demand of human free interaction arises, which can be fulfilled by robotics. In Chemical, Oil & Gas, Petrochemicals and many manufacturing industries today we need human safety on head, and it can be done by robots. This paper implies such type of mobile robot which can be used in complex industries. The work is based on Image processing and centroid algorithm. The physical quantities like (temperature, pressure, humidity, stress, PH) and leakage of gases and liquids, fire, spark and many human safety related things which can be encountered by this mobile robot. By using this robot, the main achievement is human safety and simultaneously cost effective, precision and all far away data can be easily available through IoT (Cloud) ([1]). Also, it works without any disincentive at particular of desired time in day or night, where particular place requires physical quantities measurement. In this project the main components are Controller (Raspberry Pi), Four DC Motor for each wheel, Pi Camera for image detection and processing, motor driver logic and physical quantities sensor ([2]).

关键词： centroid algorithm Robot Pi Camera Raspberry Pi Image Processing

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Quadrant-Based Weighted centroid algorithm for Localization in Underground Mines 13th

Quadrant-Based Weighted Centroid Algorithm for Localization ...

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13th International Conference on Wireless algorithms, Systems, and Applications (WASA)

作者： Tahir, Nazish Karim, Md Monjurul Sharif, Kashif Li, Fan Ahmed, Nadeem Natl Univ Sci & Technol Sch Elect Engn & Comp Sci Islamabad Pakistan Beijing Inst Technol Sch Comp Sci & Technol Beijing Peoples R China

ISBN: (纸本)9783319942681;9783319942674

Location sensing in wireless sensor networks (WSNs) is a critical problem when it comes to rescue operation in underground mines. Most of the existing research on node localization uses traditional centroid algorithm-based approach. However, such approaches have higher localization error, which leads to inaccurate node precision. This paper proposes a novel quadrant-based solution on weighted centroid algorithm that uses received signal strength indicator for range calculation and distance improvement by incorporating alternating path loss factor according to the mine environment. It also makes use of four beacon nodes instead of traditional three with weights applied to reflect the impact of each node for the centroid position. The weight factor applied is the inverse of the distance estimated. Simulation results show higher localization accuracy and precision as compared to traditional weighted centroid algorithms.

关键词： Localization centroid algorithm RSSI Sensor networks

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A k- weighted centroid algorithm based on proximity beacon node optimization 13

A k- weighted centroid algorithm based on proximity beacon n...

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13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

作者： Ji, Xiu Wang, Lei Sun, Wo-ye Wang, Hui Changchun Inst Technol Distribut Automat Engn Res Ctr Changchun Jilin Peoples R China Jilin Profit Sci & Technol Ltd Engn Tech Dept Changchun Jilin Peoples R China State Grid Jilin Prov Power Co Siping Power Co Yitong Jilin Peoples R China

ISBN: (纸本)9781538621653

Weighted centroid algorithm is a kind of location algorithm which is more accurate than the traditional centroid algorithm. Differential weighted centroid algorithm for RSSI problem in weighted centroid algorithm is easy to be disturbed by environmental factors, Differential correction with beacon nodes has been put forward, but blindly using the nearest beacon node for differential correction will have a negative impact on accuracy. To solve this problem, this paper proposes a k- weighted centroid algorithm based on the optimization of adjacent beacon nodes. Experimental simulation results show that the k-weighted centroid algorithm has a better effect than the weighted centroid algorithm and the weighted centroid algorithm.

关键词： centroid algorithm differential correction RSSI distance k- weighted centroid algorithm

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3D Weighted centroid Localization algorithm for Wireless Sensor Network Using Teaching Learning Based Optimization 2nd

3D Weighted Centroid Localization Algorithm for Wireless Sen...

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2nd International Conference on Information, Communication and Computing Technology (ICICCT)

作者： Sharma, Gaurav Kumar, Ashok CVR Coll Engn Dept Elect & Commun Engn Hyderabad 501510 Telangana India Natl Inst Technol Dept Elect & Commun Engn Hamirpur 177005 Himachal Prades India

ISBN: (纸本)9789811065446;9789811065439

The purpose of this paper is to improve the localization accuracy of range-free algorithm in three-dimensional (3D) space for wireless sensor networks (WSNs). In this paper, weighted centroid localization algorithm using teaching learning based optimization (WCL-TLBO) is proposed to improve the positioning accuracy in 3D space of WSN. In range-free algorithms, only received signal strength (RSS) information between nodes is sufficient to determine the position of target nodes. RSS value gives the clue to find out the distance between sensor nodes but shows non-linearity between RSS and distance. To overcome this non-linearity, fuzzy logic system (FLS) is used. Edge weights of WCL are modelled using FLS. Further to reduce the errors, TLBO is applied to optimize these edge weights. Simulation results establish the superiority of the proposed algorithm in terms of localization accuracy to other existing range-free algorithms in similar scenario.

关键词： centroid algorithm FLS Range-free localization TLBO WSN

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A Weighted centroid Localization algorithm for Wireless Sensor Networks Based on Weight Correction 9

A Weighted Centroid Localization Algorithm for Wireless Sens...

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9th International Conference on Advanced Infocomm Technology (ICAIT)

作者： Ru, Lulu Zhang, Linghua NJUPT Coll Telecommun & Informat Engn Nanjing Jiangsu Peoples R China Jiangsu Prov Engn Res Ctr Telecommun & Network Te Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781538636282

In wireless sensor networks, one of the core problems is the realization of positioning. In order to solve the issue of traditional centroid localization algorithm's localization accuracy, a weighted centroid of mass algorithm based on weight correction is proposed in this paper. Firstly, this improved algorithm converts the RSSI data received by unknown nodes into distance, then calculate the negative square of distance ratio as a mend weight. Finally, use the modified weight to further improving the positioning precision. The simulation results indicate that the proposed weighted centroid algorithm can greatly improve the accuracy of positioning and reduce the error of positioning.

关键词： Wireless Sensor Network(WSN) node location centroid algorithm weight

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