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Towards area classification for large-scale fingerprint-based system

Suining He, Jiajie Tan, S.-H. Gary Chan
2016 Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '16  
We first study leveraging the one-class classification to conduct inside/outside-region detection given only the inside fingerprints.  ...  To address above issues, beyond the algorithms finding the exact location point, we study accurate and efficient indoor area classification for large-scale fingerprint-based system.  ...  ACKNOWLEDGMENT We thank the paper shepherd and the anonymous reviewers for their constructive comments.  ... 
doi:10.1145/2971648.2971689 dblp:conf/huc/HeTC16 fatcat:eu7yeevchfcovofki6dtgq67ae

Empirical Study of a Room-Level Localization System Based on Bluetooth Low Energy Beacons

Pedro J. García-Paterna, Alejandro S. Martínez-Sala, Juan Carlos Sánchez-Aarnoutse
2021 Sensors  
The room estimation engine is based on a kNN (k-nearest neighbors) classifier.  ...  In this study, we adapt the fingerprint technique using Bluetooth Low Energy to locate the exact room of a person, seeking a simple and low-cost solution.  ...  Conflicts of Interest: The authors declare no conflict of interest. Sensors 2021, 21, 3665  ... 
doi:10.3390/s21113665 pmid:34070302 fatcat:a5k7w2wnrvarzfbhiemhthklbi

Predicting Aromatic Amine Mutagenicity with Confidence: A Case Study Using Conformal Prediction

Ulf Norinder, Glenn Myatt, Ernst Ahlberg
2018 Biomolecules  
The study also indicates that the use of different sets of fingerprints results in models, for which the ability to discriminate varies with respect to the set level of acceptable errors.  ...  (both classes assigned to a compound) and empty (no class assigned to a compound), provides the user with additional information on how to use, further develop, and possibly improve future models.  ...  Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/biom8030085 pmid:30158463 fatcat:76cdwzpgz5a2ldawura4vlozse

Indoor positioning with maximum likelihood classification of Wi-Fi signals

Noah Pritt
2013 2013 IEEE SENSORS  
In the calibration stage, the system creates a Wi-Fi fingerprint for each room of a building, where the received signal power of multiple signals are collected over time and space and stored as multivariate  ...  The solution presented in this paper makes use of commonly available Wi-Fi networks. Implemented as an Android app on an ordinary smart phone, it comprises a calibration stage and a navigation stage.  ...  Future research will include studying the effects of shorter calibration times on the success rate of the system.  ... 
doi:10.1109/icsens.2013.6688619 fatcat:ir6amef4tzhixemdefnyegofcy


Nikolai-Iraj Sanamrad
In this paper, browser fingerprinting is being improved with the usage of informationacquired from an eye tracker  ...  This data is usually unique enough even for identical devices, since it heavily relies on device usage by the user.  ...  The initial part of the calibration is the arrangement of the small round calibration elements in a pattern on the user screen.  ... 
doi:10.6084/m9.figshare.13553648.v1 fatcat:locbalj2uzco7jmyevxh7w7iga

Improving BrowserWatermarking with Eye Tracking

Nikolai-Iraj Sanamrad
In this paper, browser fingerprinting is being improved with the usage of informationacquired from an eye tracker  ...  This data is usually unique enough even for identical devices, since it heavily relies on device usage by the user.  ...  The initial part of the calibration is the arrangement of the small round calibration elements in a pattern on the user screen.  ... 
doi:10.6084/m9.figshare.13553648.v3 fatcat:hwhi4ajptnchlfs7t6uzzhks7m

WiFi Positioning Based on User Orientation Estimation and Smartphone Carrying Position Recognition

Zhi-An Deng, Zhiyu Qu, Changbo Hou, Weijian Si, Chunjie Zhang
2018 Wireless Communications and Mobile Computing  
For carrying position recognition, we propose a robust Random Forest classifier based on the developed orientation invariant features.  ...  Previous studies have proposed WiFi fingerprinting positioning based on user orientation using compasses built in smartphones.  ...  Acknowledgments This research is supported by the National Natural Science Foundation of China (Grant nos. 61671168, 61301132, 61300188, and 61301131) and the Fundamental Research Funds for the Central  ... 
doi:10.1155/2018/5243893 fatcat:wdlm7rsxhjd7ragarcmn37ztii

Tea and Chicory Extract Characterization, Classification and Authentication by Non-Targeted HPLC-UV-FLD Fingerprinting and Chemometrics

Josep Pons, Àlex Bedmar, Nerea Núñez, Javier Saurina, Oscar Núñez
2021 Foods  
One hundred percent classification rates for the PLS-DA calibration models were achieved, except for green and oolong tea when HPLC-FLD fingerprints were employed, which showed classification rates of  ...  In the present study, untargeted HPLC-UV and HPLC-FLD fingerprinting methods were employed to characterize, classify, and authenticate tea extracts belonging to different varieties (red, green, black,  ...  In contrast, perfect discrimination among the different studied tea extracts was not accomplished, although a different behavior can be observed depending on the type of fingerprints.  ... 
doi:10.3390/foods10122935 pmid:34945486 pmcid:PMC8700607 fatcat:uofdgomitjffnec57m3uxbezla

Nitrogen status assessment for multiple cultivars of strawberries using portable FT-NIR spectrometers combined with cultivar recognition and multivariate analysis

Gangshan Wu, Qiyou Jiang, Yuhao Bai, Chongfeng Tian, Wei Pan, Xinxin Jin, Baohua Zhang
2020 IEEE Access  
However, numerous studies concluded that the best performing model for any cultivar was ultimately calibrated on that cultivar, and the application of the calibrated model to other cultivars consistently  ...  In this study, we selected random forest (RF) classifiers for cultivar recognition of strawberry leaf samples, with characteristic fingerprint spectrum as inputs.  ... 
doi:10.1109/access.2020.3007862 fatcat:wjh6jiyai5gcvhq6f5hspouium

Exploring Ways To Mitigate Sensor-Based Smartphone Fingerprinting [article]

Anupam Das, Nikita Borisov, Matthew Caesar
2015 arXiv   pre-print
We then collect measurements from a large collection of smartphones and evaluate the impact of calibration and obfuscation techniques on the classifier accuracy.  ...  We analyze techniques to mitigate such device fingerprinting either by calibrating the sensors to eliminate the signal anomalies, or by adding noise that obfuscates the anomalies.  ...  We then generate fingerprints on the corrected data and train the classifiers on the new fingerprints.  ... 
arXiv:1503.01874v1 fatcat:qgrvmurkc5gtlm6ave5hxdzd3i

Authentication of the Origin, Variety and Roasting Degree of Coffee Samples by Non-Targeted HPLC-UV Fingerprinting and Chemometrics. Application to the Detection and Quantitation of Adulterated Coffee Samples

Nerea Núñez, Xavi Collado, Clara Martínez, Javier Saurina, Oscar Núñez
2020 Foods  
Besides, the coffee adulteration studies carried out by partial least squares regression (PLSR), and based on coffees adulterated with other production regions or variety, demonstrated the good capability  ...  Calibration, cross-validation, and prediction errors below 2.9%, 6.5%, and 8.9%, respectively, were obtained for most of the evaluated cases.  ...  The third set of samples included a total of 66 samples obtained from Vietnam and Cambodia supermarkets, and were classified into 5 groups depending on the coffee variety and the region of origin.  ... 
doi:10.3390/foods9030378 pmid:32213986 fatcat:makhoopv2necrma6uqav5jf5qe

Investigation of the Optimal Method for Generating and Verifying the Smartphone's Fingerprint: A Review

Shikah J. Alsunaidi, Abdullah M. Almuhaideb
2020 Journal of King Saud University: Computer and Information Sciences  
Also, it classifies the methods into four categories based on the used technique, namely PUF, machine learning, comparison approach, and sensor calibration.  ...  Smartphones are one of the best options for everyone because of their small size and ease of transport, in addition to their high capabilities equivalent to a personal computer.  ...  We would further like to thank Imam Abdulrahman Bin Faisal University for facilitating access to the resources used in this study.  ... 
doi:10.1016/j.jksuci.2020.06.007 fatcat:d5pp4qcfpzhy7mkpcqvv7tzkky

E-exam Cheating Detection System

Razan Bawarith, Dr. Abdullah, Dr. Anas, Prof. Dr.
2017 International Journal of Advanced Computer Science and Applications  
As a result of being able to easily cheat during e-exams, E-learning universities depend on an examination process in which students take a face-to-face examination in a physical place allocated at the  ...  Through these two parameters: the total time on out screen and the number of times on out screen were computed.  ...  of true items on the classified negative samples.  FN: Number of false items on the classified negative samples  ... 
doi:10.14569/ijacsa.2017.080425 fatcat:7jvqwe3kyzcsxpv3cujkkt5iqm

An Improved Indoor Localization of WiFiBased on Support Vector Machines

Feng Yu, Minghua Jiang, Jing Liang, Xiao Qin, Ming Hu, Tao Peng, Xinrong Hu
2014 International Journal of Future Generation Communication and Networking  
We propose an indoor localization of WiFi based on support vector machines(ILW-SVM), and use the bilinear median interpolation method(BMIM) to reduce the calibration effort on creating fingerprint map  ...  In this paper, focusing on the development of a user localization uses existing WiFi environment for its low cost and ease of deployment.  ...  Recently the most studied indoor localization algorithms based on RSS are trilateral localization and fingerprint map algorithm.  ... 
doi:10.14257/ijfgcn.2014.7.5.16 fatcat:qppiou2fgjcrxokab5umfeyv5m

Using source-specific models to test the impact of sediment source classification on sediment fingerprinting

Kim Vercruysse, Robert C. Grabowski
2018 Hydrological Processes  
This study assessed the impact of source classification on sediment fingerprinting based on diffuse reflectance infrared Fourier transform spectrometry (DRIFTS), using individual, source-specific partial  ...  Despite being fundamental to the interpretation of sediment fingerprinting results, the classification of sediment sources and its impact on the accuracy of source apportionment remain underinvestigated  ...  represents the reference model set in this study where all classified sources are included in the model calibration.  ... 
doi:10.1002/hyp.13269 fatcat:p3hsapbvp5fkvppwsfsqrzrr3y
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