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A Self-Calibrated Localization System using Chirp Spread Spectrum in a Wireless Sensor Network

2013 KSII Transactions on Internet and Information Systems  
The proposed localization system is composed of accurate ranging values that are analyzed by simple linear regression that utilizes a Big-O(n 2 ) of only a few data points and an algorithm with a self-calibration  ...  To operate multiple mobile nodes concurrently, we propose a localization system with both low complexity and high accuracy and that is based on a chirp spread spectrum (CSS) radio.  ...  Experimental evaluation The BSN, ANs and MNs were deployed in order to evaluate the performance of our proposed location estimation method.  ... 
doi:10.3837/tiis.2013.02.005 fatcat:dqyommexrrbi3e7h6gel5hxv6y

Methods of revaluation of former geodetic measurement networks

Marek Ślusarski, University of Agriculture in Krakow
2022 Geomatics, Landmanagement and Landscape  
The effectiveness of the revaluation methods of former networks was assessed on the basis of experimental studies using data from test objects.  ...  The following paper presents and evaluates three methods of improving the accuracy parameters of former registry and measurement networks.  ...  The estimated accuracy of the position of the points of the tested networks was determined on the basis of displacement vectors of the test sample points (searched out network points) in relation to their  ... 
doi:10.15576/gll/2022.1.61 fatcat:lmhxzawztze4hjyv2i3r6lva4u

Low-Power LoRa Signal-Based Outdoor Positioning Using Fingerprint Algorithm

Wongeun Choi, Yoon-Seop Chang, Yeonuk Jung, Junkeun Song
2018 ISPRS International Journal of Geo-Information  
We propose a LoRa signal-based positioning method that uses a fingerprint algorithm instead of a received signal strength indicator (RSSI) proximity or TDoA method.  ...  The main objective of this study was to evaluate the accuracy and usability of the fingerprint algorithm for large areas in the real world.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi7110440 fatcat:us7coyb7zzgxdb7omzacouxulu

An Experimental Evaluation of Position Estimation Methods for Person Localization in Wireless Sensor Networks [chapter]

Johannes Schmid, Frederik Beutler, Benjamin Noack, Uwe D. Hanebeck, Klaus D. Müller-Glaser
2011 Lecture Notes in Computer Science  
The described estimators are then evaluated off-line on the experimentally collected data.  ...  The goal of this paper is to present a comprehensive real-world evaluation of methods for person localization in a WSN based on received signal strength (RSS) range measurements.  ...  Acknowledgment This work was supported by the German Research Foundation (DFG) within the Research Training Group GRK 1194 "Self-organizing Sensor-Actuator Networks".  ... 
doi:10.1007/978-3-642-19186-2_10 fatcat:7lfuq4l2kfgc7pjdqi2sotdadm

Prediction of protein stability changes for single-site mutations using support vector machines

Jianlin Cheng, Arlo Randall, Pierre Baldi
2005 Proteins: Structure, Function, and Bioinformatics  
We evaluate our approach using cross-validation methods on a large dataset of single amino acid mutations.  ...  Moreover, the experimental results show that the prediction accuracy obtained using sequence alone is close to the accuracy obtained using tertiary structure information.  ...  ACKNOWLEDGMENTS Work supported by an NIH Biomedical Informatics Training grant (LM-07443-01), an NSF MRI grant (EIA-0321390), a grant from the University of California Systemwide Biotechnology Research  ... 
doi:10.1002/prot.20810 pmid:16372356 fatcat:ej4nvnmkanbnbi3nxkydnenmki

Unsupervised Learning for Solving RSS Hardware Variance Problem in WiFi Localization

Arvin Wen Tsui, Yu-Hsiang Chuang, Hao-Hua Chu
2009 Journal on spesial topics in mobile networks and applications  
This method was designed and implemented in a working WiFi positioning system and evaluated using different WiFi devices with diverse RSS signal patterns.  ...  Experimental results demonstrate that the proposed learning method improves positional accuracy within 100 s of learning time.  ...  Effect of linear signal-pattern shift on the accuracy of a WiFi positioning system Before describing how this linear shift in RSS signal patterns affects the positional accuracy of a WiFi position- fingerprint  ... 
doi:10.1007/s11036-008-0139-0 fatcat:k7fsdthqdvdefpxb23a7bfmspi

A Study of Athlete Pose Estimation Techniques in Sports Game Videos Combining Multiresidual Module Convolutional Neural Networks

Rui Liu, Gaurav Singal
2021 Computational Intelligence and Neuroscience  
In this paper, we propose a multiresidual module convolutional neural network-based method for athlete pose estimation in sports game videos.  ...  The neural network model proposed in this paper achieves high accuracy of 89.5% and 88.2% on the upper arm and lower arm, respectively, so the method in this paper reduces the influence of occlusion on  ...  pose estimation algorithm views human pose detection as a key point regression problem and is trained with a large amount of data with joint point class and position annotations to finally obtain a model  ... 
doi:10.1155/2021/4367875 pmid:34992645 pmcid:PMC8727100 fatcat:vxqj2wz345c2bfjl36wuzvvepa

LNEMLC: Label Network Embeddings for Multi-Label Classification [article]

Piotr Szymański, Tomasz Kajdanowicz, Nitesh Chawla
2019 arXiv   pre-print
in learning and inference of any base multi-label classifier.  ...  To address these issues we propose a new multi-label classification scheme, LNEMLC - Label Network Embedding for Multi-Label Classification, that embeds the label network and uses it to extend input space  ...  For each data set, we take data points from our parameter estimation experimental scenario and treat each group of parameter values as a separate observation.  ... 
arXiv:1812.02956v2 fatcat:d2zlvcm7k5b2pbp5ikkj64bkpi

D-VPnet: A Network for Real-time Dominant Vanishing Point Detection in Natural Scenes [article]

Yin-Bo Liu, Ming Zeng, Qing-Hao Meng
2020 arXiv   pre-print
The proposed method was tested using a public dataset and a Parallel Line based Vanishing Point (PLVP) dataset.  ...  As an important part of linear perspective, vanishing points (VPs) provide useful clues for mapping objects from 2D photos to 3D space.  ...  Introduction The vanishing point (VP) is the intersection of two parallel lines on an image from the viewpoint of linear perspective.  ... 
arXiv:2006.05407v1 fatcat:5de4andykneghb6fnnzwstnbla

Optimal Vehicle Pose Estimation Network Based on Time Series and Spatial Tightness with 3D LiDARs

Hanqi Wang, Zhiling Wang, Linglong Lin, Fengyu Xu, Jie Yu, Huawei Liang
2021 Remote Sensing  
However, due to the different density distributions of the point cloud, it is challenging to achieve sensitive direction extraction based on 3D LiDAR by using the existing pose estimation methods.  ...  Since the network was indirectly trained through the evaluation index, it could be directly used on untrained LiDAR and showed a good pose estimation performance.  ...  They first used the weighted least squares algorithm to remove outliers and proposed an obstacle pose estimation method using two linear features of straight-line fitting and right-angle fitting.  ... 
doi:10.3390/rs13204123 fatcat:opy7t4brknhnxbtzqrhxaw76hy

Metabolic connectivity-based single subject classification by multi-regional linear approximation in the rat

Maximilian Grosch, Leonie Beyer, Magdalena Lindner, Lena Kaiser, Seyed-Ahmad Ahmadi, Anna Stockbauer, Peter Bartenstein, Marianne Dieterich, Matthias Brendel, Andreas Zwergal, Sibylle Ziegler
2021 NeuroImage  
The optimal classification thresholds of the correlation coefficient and distance-to-fit were found be to |r| > 0.65 and d = 4 when using Siegel's slope estimator for fitting.  ...  Metabolic connectivity patterns on the basis of [18F]-FDG positron emission tomography (PET) are used to depict complex cerebral network alterations in different neurological disorders and therefore may  ...  Acknowledgements The authors would like to thank the preclinical imaging team of the Nuclear Medicine Department of the LMU for their consistent commitment to the imaging tasks and their excellent documentation  ... 
doi:10.1016/j.neuroimage.2021.118007 pmid:33831550 fatcat:nh7idwkmrzdi7bfm62lyfac7dq

Localization Using Radial Basis Function Networks and Signal Strength Fingerprints in WLAN

C. Laoudias, P. Kemppi, C. G. Panayiotou
2009 GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference  
Experimental results indicate that the RBF based method is an efficient approach to the location determination problem that outperforms existing techniques in terms of the positioning error.  ...  Fingerprinting localization techniques provide reliable location estimates and enable the development of location aware applications especially for indoor environments, where satellite based positioning  ...  In Section IV we present the WLAN experimental setup used for our performance evaluation, followed by the results regarding the positioning accuracy.  ... 
doi:10.1109/glocom.2009.5425278 dblp:conf/globecom/LaoudiasKP09 fatcat:wim5emejujcftoqlzbs7y2buui

A Variance Model in NRTK-Based Geodetic Positioning as a Function of Baseline Length

Ömer Gökdaş, M. Tevfik Özlüdemir
2020 Geosciences  
Measurements were evaluated and tested using the variance model created as a function of the baseline length, in line with the aims of the study, and the results were found to be consistent.  ...  This study examines the effect of baseline length on accuracy and precision in Network Real-Time Kinematic (NRTK) positioning and develops an experimental mathematical model to express this effect.  ...  Secondly, the authors would like to thank the Istanbul Water and Sewerage Administration for providing full access to ISKI CORS network data and Topnet-V software.  ... 
doi:10.3390/geosciences10070262 fatcat:27zmwoyrrfhurkwkhopncfq2bu

MR-CapsNet: A Deep Learning Algorithm for Image-Based Head Pose Estimation on CapsNet

Hao Fang, Jun-Qing Liu, Kai Xie, Peng Wu, Xin-Yu Zhang, Chang Wen, Jian-Biao He
2021 IEEE Access  
Head pose estimation based on a single image is a challenging endeavor because of the complex background conditions and characteristics of the human face.  ...  We tested our method on the AFLW2000 and BIWI datasets obtaining mean absolute errors of 4.26% and 3.95%, respectively.  ...  Flow of proposed algorithm A. FEATURE EXTRACTION Our network is based on the network proposed by Song et al. [38] , which is a compact model for age estimation from a single image.  ... 
doi:10.1109/access.2021.3119615 fatcat:p6cuxdwdnzhvvgfpsjuithksna

RSS-based Indoor Positioning Using Convolutional Neural Network

Safae El Abkari, Abdelilah Jilbab, Jamal El Mhamdi
2020 International Journal of Online and Biomedical Engineering (iJOE)  
This approach aims to improve accuracy by reducing the noise and the randomness of collected RSS values from a wireless sensor network.  ...  Our proposed approach provides a room and grid prediction accuracies of 100% and a mean error of location estimation of 0.98 m.</span></p>  ...  CNN models showed an accuracy of 100% for both room and grid predictions and a positioning mean error of 0.98m. Our positioning method introduced a positioning improvement.  ... 
doi:10.3991/ijoe.v16i12.16751 fatcat:mqrpcgclnffxrk2ne77rwq6iqi
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