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Resolution enhancement of angular plasmonic biochemical sensors via optimizing centroid algorithm

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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Charge-coupled devices combined with centroid algorithm for laser beam deviation measurements compared to a position-sensitive device

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OPTICAL ENGINEERING 2011年第3期50卷 033603-033603页

作者： Hou, Bo Wu, Zong Yan de la Tocnaye, Jean-Louis de Bougrenet Grosso, Philippe Telecom Bretagne Dept Opt F-29238 Brest France

A position sensitive device (PSD) is frequently used in laser beam deviation measurement. However, it lacks the capability to retrieve the power distribution information of a laser beam. A charge-coupled device (CCD) gives much more information of a laser beam than a PSD. The requirement of a multifunctional sensor makes the replacement of a PSD with a CCD in measuring laser beam deviation to be a reasonable topic. In this paper a performance comparison between a PSD and a CCD combined with a centroid algorithm are discussed with special attention paid to the CCD-based system. According to the operating principle of the CCD-based system, several experiments were carried out to evaluate five factors of the CCD-based system: image window size, number of processed images, threshold, binning, and saturation. By applying the optimized parameters, several experiments were made to compare the CCD-based system with the state-of-the-art PSD-based system in terms of two performance indicators, namely resolution and speed. It is shown that, by applying the optimized parameters, the performance of a CCD-based system is comparable to that of a PSD-based system in measuring laser beam deviation. (C) 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.3554379]

关键词： charge-coupled device position sensitive device centroid algorithm beam deviation measurement

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Squared Gray Weighted centroid algorithm Based on Bi-cubic Interpolation

Squared Gray Weighted Centroid Algorithm Based on Bi-cubic I...

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5th International Symposium on Instrumentation Science and Technology

作者： Liu Changying Gao Yinhan Zhang Yong Jilin Univ Coll Instrumentat & Elect Engn Changchun 130061 Peoples R China Jilin Univ Ctr Measurement Sci Expt Changchun 130025 Peoples R China

ISBN: (纸本)9780819473677

A squared gray weighted centroid algorithm based on bi-cubic interpolation is proposed to solve the question of the optical feature precision location in the vision measurement. The location method makes full use of the gray information of feature image and uses the squared gray as weight to increase the function of pixels with higher gray value. At the same time, the bi-cubic interpolation algorithm is used to increase the available pixels to improve the location accuracy. Experimental results show that the location repeatability was less than 0.011 pixels and the location errors were less than 0.01 pixels. The centroid location method has better location accuracy and could be used for the precision location of optical feature for the vision measurement.

关键词： vision measurement bi-cubic interpolation centroid algorithm optical feature

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Improved Iteration centroid algorithm Based on Linear CCD Light-spot Location

Improved Iteration Centroid Algorithm Based on Linear CCD Li...

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2009 9th International Conference on Electronic Measurement & Instruments（ICEMI’2009）

作者： Shengjin Tang Zhaofa Zhou Xiaosong Guo Yongchao Xiao Xi’an Research Inst. of Hi-tec Hongqing Town, Xi’an 710025 China

In order to increase the linear CCD light-spot location accuracy and strengthen the ant-noise ability of centroid algorithm, an improved algorithm is presented. According to the symmetry distribution and high gray value of the object region, squared weight method and linear interpolation are used to enhance the effect of object region. Meanwhile, linear interpolation and iteration algorithm are utilized to improve the resolution and accuracy on signal segmentation. The simulation result shows that it is more accurate and stable than other sub-pixel algorithm, and the satisfying result is obtained.

关键词： light-spot location centroid algorithm squared weighting linear interpolation iteration algorithm

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An Efficient Subpixel centroid algorithm for Microsatellite Star Tracker

An Efficient Subpixel Centroid Algorithm for Microsatellite ...

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2011 International Conference on Computers, Communications, Control and Automation

作者： Hailong Zhu Bin Liang Tao Zhang Jun Yang Xuedong Chen Department of Automation Tsinghua University School of Mechanical Science and Engineering Huazhong University of Science and Technology

An efficient star centroid algorithm for microsatellite star tracker is proposed. An analytical study of star model is presented. In actual star images, stars are slightly defocused and can be considered as two-dimension Gaussian distribution,various noises are contained due to environment. The operation flow to obtain subpixel centroid of the star, including star image filtering, thresholding, connectivity analysis, and centroid algorithm, is discussed. Two kinds of centroid algorithm,weight subpixel technique and Gaussian curve fitting, are illustrated. Finally, the computational time and accuracy with each centroid algorithm are performed on simulated star images with random noises. As a result, the weight subpixel technique with PSF width 5 × 5 pixels is chosen because its less computational time and sufficient accuracy for microsatellite star tracker.

关键词： Star Model Defocus centroid algorithm Computational time Star Tracker

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Improved Iteration centroid algorithm Based on Linear CCD Light-spot Location

Improved Iteration Centroid Algorithm Based on Linear CCD Li...

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2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI'2009)

作者： Shengjin Tang Zhaofa Zhou Xiaosong Guo Yongchao Xiao Xi'an Research Inst.of Hi-tec Hongqing Town Xi'an 710025 China

ISBN: (纸本)9781424438631;9781424438624

关键词： light-spot location centroid algorithm squared weighting linear interpolation iteration 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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centroid-Based algorithm for Extracting Feature Points of Digital Cameras' Position

Centroid-Based Algorithm for Extracting Feature Points of Di...

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International Conference on Information Computing and Applications

作者： Xu, Guangli Wang, Zhijiang Zhou, Guanchen Hebei Polytech Univ Coll Sci Tangshan 063009 Hebei Peoples R China Hebei Polytech Univ Coll Light Industry Tangshan 063009 Hebei Peoples R China

ISBN: (纸本)9783642163388

Digital cameras have been widely used in the areas of road transportation, railway transportation as well as security system. To address the position of digital camera in these fields this paper proposed a geometry calibration method based on feature point extraction of arbitrary target. Under the meaning of the questions, this paper first defines four kinds of coordinate system, which is the world coordinate system. The camera's optical center of the coordinate system is the camera coordinate system, using the same point in different coordinate system of the coordinate transformation to determine the relationship between world coordinate system and camera coordinate.

关键词： Transition matrix centroid algorithm least-squares method binocular calibration

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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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Weight Optimized centroid Localization algorithm on Radioactive Pollution Monitoring by WSN for Uranium Tailings

Weight Optimized Centroid Localization Algorithm on Radioact...

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IEEE 6th International Conference on Electronics Information and Emergency Communication (ICEIEC)

作者： Yu Xiuwu Zhou Lixing Zhang Feng Fan Feisheng Univ South China Environm Protect & Safety Engn Inst Hengyang 421001 Hunan Peoples R China

ISBN: (纸本)9781509019977

Aiming at the problem of high cost of cable layout and poor maintenance in traditional radioactive pollution monitoring for uranium tailings, considering banded dam and little node connectivity, a weight optimized centroid localization algorithm is proposed. Under different index, by comparing the positioning accuracy and the influence of the external disturbance, new algorithm changes the index of weight and measured distance -1 to -1.5, resulting in an accuracy improvement in long distance. Simulation demonstrated that compared with centroid localization algorithm and maximum likelihood estimation, average positioning error of the new algorithm was reduced by 37.5% and 30.7%, and the maximum positioning error was reduced by 1/5 and by 2/5. With high reliability and stability, the new algorithm can meet the requirements of position in radioactive pollution monitoring for uranium tailings.

关键词： WSN centroid algorithm Weighe optimized uranium tailings monitoring localization

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