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Journal articles on the topic 'Fingerprinting method'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Setiabudi, Christian Alvin, and Gede Putra Kusuma. "Performance Evaluation of Multilateration and Fingerprinting Method in Indoor Positioning System." International Journal of Emerging Technology and Advanced Engineering 11, no. 10 (2021): 143–52. http://dx.doi.org/10.46338/ijetae1021_18.

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Indoor Positioning System has been one of the most attractive research after Bluetooth Low Energy (BLE) was introduced. This technology mainly used because of the reduction of material and energy cost over time that has huge impact compared to other technologies, which are more costly. Most recent research resolve around improving the accuracy of calculated position of the user by implementing different method to enable an indoor positioning system, and to remove any noises in the dataset. This paper objective is to compare some of the available methods that are used to enable Indoor Positioni

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Zhao, Zheng, Fenlin Liu, and Daofu Gong. "An SDN-Based Fingerprint Hopping Method to Prevent Fingerprinting Attacks." Security and Communication Networks 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/1560594.

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Fingerprinting attacks are one of the most severe threats to the security of networks. Fingerprinting attack aims to obtain the operating system information of target hosts to make preparations for future attacks. In this paper, a fingerprint hopping method (FPH) is proposed based on software-defined networks to defend against fingerprinting attacks. FPH introduces the idea of moving target defense to show a hopping fingerprint toward the fingerprinting attackers. The interaction of the fingerprinting attack and its defense is modeled as a signal game, and the equilibriums of the game are anal

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Thipparthi Upendra Chari and B Srinivasa S P Kumar. "RBP: a website fingerprinting obfuscation method against intelligent fingerprintingattacks." international journal of engineering technology and management sciences 6, no. 6 (2022): 398–403. http://dx.doi.org/10.46647/ijetms.2022.v06i06.071.

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A significant danger to website privacy and web security is posed by website fingerprinting (WF), a passive traffic analysis attack. It gathers the network packets created when a user accesses a website and then employs a number of approaches to identify patterns in the network packets that can be used to determine the kind of website the user is accessing. Numerous anonymous networks, like Tor, can satisfy the need to conceal identify from users while participating in network activities, but they are also vulnerable to WF assaults. In this research, we present Random Bidirectional Padding, a

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Davies, Michael, and Xing Wang. "New Method for “Fingerprinting” Biosimilars." Genetic Engineering & Biotechnology News 32, no. 18 (2012): 34–35. http://dx.doi.org/10.1089/gen.32.18.14.

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Guo, Maohua, Jinlong Fei, and Yitong Meng. "Deep Nearest Neighbor Website Fingerprinting Attack Technology." Security and Communication Networks 2021 (July 14, 2021): 1–14. http://dx.doi.org/10.1155/2021/5399816.

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By website fingerprinting (WF) technologies, local listeners are enabled to track the specific website visited by users through an investigation of the encrypted traffic between the users and the Tor network entry node. The current triplet fingerprinting (TF) technique proved the possibility of small sample WF attacks. Previous research methods only concentrate on extracting the overall features of website traffic while ignoring the importance of website local fingerprinting characteristics for small sample WF attacks. Thus, in the present paper, a deep nearest neighbor website fingerprinting

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Morge-Rollet, Louis, Frédéric Le Roy, Denis Le Jeune, Charles Canaff, and Roland Gautier. "RF eigenfingerprints, an Efficient RF Fingerprinting Method in IoT Context." Sensors 22, no. 11 (2022): 4291. http://dx.doi.org/10.3390/s22114291.

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In IoT networks, authentication of nodes is primordial and RF fingerprinting is one of the candidates as a non-cryptographic method. RF fingerprinting is a physical-layer security method consisting of authenticated wireless devices using their components’ impairments. In this paper, we propose the RF eigenfingerprints method, inspired by face recognition works called eigenfaces. Our method automatically learns important features using singular value decomposition (SVD), selects important ones using Ljung–Box test, and performs authentication based on a statistical model. We also propose simula

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Soll, David R. "The Ins and Outs of DNA Fingerprinting the Infectious Fungi." Clinical Microbiology Reviews 13, no. 2 (2000): 332–70. http://dx.doi.org/10.1128/cmr.13.2.332.

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SUMMARY DNA fingerprinting methods have evolved as major tools in fungal epidemiology. However, no single method has emerged as the method of choice, and some methods perform better than others at different levels of resolution. In this review, requirements for an effective DNA fingerprinting method are proposed and procedures are described for testing the efficacy of a method. In light of the proposed requirements, the most common methods now being used to DNA fingerprint the infectious fungi are described and assessed. These methods include restriction fragment length polymorphisms (RFLP), R

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Hong, Young-Ran, and Dong-Soo Kim. "Fraud Click Identification Using Fingerprinting Method." Journal of Society for e-Business Studies 16, no. 3 (2011): 159–68. http://dx.doi.org/10.7838/jsebs.2011.16.3.159.

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Yoo, Jaehyun, and Jongho Park. "Indoor Localization Based on Wi-Fi Received Signal Strength Indicators: Feature Extraction, Mobile Fingerprinting, and Trajectory Learning." Applied Sciences 9, no. 18 (2019): 3930. http://dx.doi.org/10.3390/app9183930.

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This paper studies the indoor localization based on Wi-Fi received signal strength indicator (RSSI). In addition to position estimation, this study examines the expansion of applications using Wi-Fi RSSI data sets in three areas: (i) feature extraction, (ii) mobile fingerprinting, and (iii) mapless localization. First, the features of Wi-Fi RSSI observations are extracted with respect to different floor levels and designated landmarks. Second, the mobile fingerprinting method is proposed to allow a trainer to collect training data efficiently, which is faster and more efficient than the conven

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Yang, Fan, Jian Xiong, Jingbin Liu, et al. "A Pairwise SSD Fingerprinting Method of Smartphone Indoor Localization for Enhanced Usability." Remote Sensing 11, no. 5 (2019): 566. http://dx.doi.org/10.3390/rs11050566.

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Smartphone indoor localization has attracted considerable attention over the past decade because of the considerable business potential in terms of indoor navigation and location-based services. In particular, Wi-Fi RSS (received signal strength) fingerprinting for indoor localization has received significant attention in the industry, for its advantage of freely using off-the-shelf APs (access points). However, RSS measured by heterogeneous mobile devices is generally biased due to the variety of embedded hardware, leading to a systematical mismatch between online measures and the pre-establi

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Queiroz, Jordan S., and Eduardo L. Feitosa. "A Web Browser Fingerprinting Method Based on the Web Audio API." Computer Journal 62, no. 8 (2019): 1106–20. http://dx.doi.org/10.1093/comjnl/bxy146.

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Abstract Web Browser Fingerprinting is a process in which the users are, with high likelihood, uniquely identified by the extracted features from their devices, generating an identifier key (fingerprint). Although it can be used for malicious purposes, especially regarding privacy invasion, Web Browser Fingerprinting can also be used to enhance security (e.g. as a factor in two-factor authentication). This paper investigates the use of Web Audio API as a Web Browser Fingerprinting method capable of identifying the devices. The idea is to prove or not if audio can provide features capable to id

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Czaplewski, Bartosz, and Krzysztof Czaplewski. "Protection of Visual Data Transmission for Vessel Traffic Systems Using Joint Fingerprinting and Decryption Method Based on Modified Hill Cipher." Annual of Navigation 19, no. 2 (2012): 5–17. http://dx.doi.org/10.2478/v10367-012-0014-8.

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Abstract Vessel traffic systems provide a high level of safety on coastal waters due to coastal radar stations and industrial cameras transmitting information to traffic supervision centers, as well. To improve a vessel traffic services is very important to ensure the speed and secrecy for the transmission of video images. The paper presents the basic issues of the multimedia data protection by digital watermarking and fingerprinting methods. Main applications for such digital marking were described in the paper as well as its requirements. Furthermore, the importance of multicast transmission

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Li, You, Zhouzheng Gao, Zhe He, et al. "Wireless Fingerprinting Uncertainty Prediction Based on Machine Learning." Sensors 19, no. 2 (2019): 324. http://dx.doi.org/10.3390/s19020324.

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Although wireless fingerprinting has been well researched and widely used for indoor localization, its performance is difficult to quantify. Therefore, when wireless fingerprinting solutions are used as location updates in multi-sensor integration, it is challenging to set their weight accurately. To alleviate this issue, this paper focuses on predicting wireless fingerprinting location uncertainty by given received signal strength (RSS) measurements through the use of machine learning (ML). Two ML methods are used, including an artificial neural network (ANN)-based approach and a Gaussian dis

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Saeed, Zana Rafiq, and Shilan Salam Mohammed. "Using DNA Fingerprinting as a Medical Method in Criminal Proof." Journal of Legal and Political Studies 11, no. 2 (2023): 215–52. https://doi.org/10.17656/jlps.10247.

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DNA fingerprinting is one of the medical methods that have great importance in the field of criminal evidence، as it has become important through its use in proving many crimes، which has become one of the indispensable means for the judiciary in issuing judicial rulings. In this research، we dealt with clarifying what DNA fingerprinting is، its characteristics، controls، conditions، and legal nature، as well as defining the legal framework for the evidence derived from DNA fingerprinting and the definitive extent of its significance in criminal evidence، the position of Iraqi and comparative

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Zhang, Zhen, Yibing Li, Chao Wang, Meiyu Wang, Ya Tu, and Jin Wang. "An Ensemble Learning Method for Wireless Multimedia Device Identification." Security and Communication Networks 2018 (October 15, 2018): 1–9. http://dx.doi.org/10.1155/2018/5264526.

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In the last decade, wireless multimedia device is widely used in many fields, which leads to efficiency improvement, reliability, security, and economic benefits in our daily life. However, with the rapid development of new technologies, the wireless multimedia data transmission security is confronted with a series of new threats and challenges. In physical layer, Radio Frequency Fingerprinting (RFF) is a unique characteristic of IoT devices themselves, which can difficultly be tampered. The wireless multimedia device identification via Radio Frequency Fingerprinting (RFF) extracted from radio

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Sharp, Jacqueline, and Ian R. Poxton. "An immunochemical method for fingerprinting Clostridium difficile." Journal of Immunological Methods 83, no. 2 (1985): 241–48. http://dx.doi.org/10.1016/0022-1759(85)90246-7.

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Mehta, Sachin, Rajarathnam Nallusamy, and Balakrishnan Prabhakaran. "Scene-based fingerprinting method for traitor tracing." Multimedia Systems 22, no. 2 (2014): 197–211. http://dx.doi.org/10.1007/s00530-014-0442-5.

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Hannart, Alexis. "Integrated Optimal Fingerprinting: Method Description and Illustration." Journal of Climate 29, no. 6 (2016): 1977–98. http://dx.doi.org/10.1175/jcli-d-14-00124.1.

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Abstract The present paper introduces and illustrates methodological developments intended for so-called optimal fingerprinting methods, which are of frequent use in detection and attribution studies. These methods used to involve three independent steps: preliminary reduction of the dimension of the data, estimation of the covariance associated to internal climate variability, and, finally, linear regression inference with associated uncertainty assessment. It is argued that such a compartmentalized treatment presents several issues; an integrated method is thus introduced to address them. Th

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Amer, Saad, and Yi xian Yang. "A robust method for fingerprinting digital images." Journal of Electronics (China) 18, no. 3 (2001): 193–203. http://dx.doi.org/10.1007/s11767-001-0028-1.

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Wojciechowska-Koszko, Iwona, Magdalena Mnichowska-Polanowska, Paulina Roszkowska, et al. "Improved RAPD Method for Candida parapsilosis Fingerprinting." Genes 14, no. 4 (2023): 868. http://dx.doi.org/10.3390/genes14040868.

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Recently, methods based on the analysis of arbitrarily amplified target sites of genome microorganisms have been extensively applied in microbiological studies, and especially in epidemiological studies. The range of their application is limited by problems with discrimination and reproducibility resulting from a lack of standardized and reliable methods of optimization. The aim of this study was to obtain optimal parameters of the Random Amplified Polymorphic DNA (RAPD) reaction by using an orthogonal array as per the Taguchi and Wu protocol, modified by Cobb and Clark for Candida parapsilosi

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Rezgui, Yasmine, Ling Pei, Xin Chen, Fei Wen, and Chen Han. "An Efficient Normalized Rank Based SVM for Room Level Indoor WiFi Localization with Diverse Devices." Mobile Information Systems 2017 (2017): 1–19. http://dx.doi.org/10.1155/2017/6268797.

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This paper proposes an efficient and effective WiFi fingerprinting-based indoor localization algorithm, which uses the Received Signal Strength Indicator (RSSI) of WiFi signals. In practical harsh indoor environments, RSSI variation and hardware variance can significantly degrade the performance of fingerprinting-based localization methods. To address the problem of hardware variance and signal fluctuation in WiFi fingerprinting-based localization, we propose a novel normalized rank based Support Vector Machine classifier (NR-SVM). Moving from RSSI value based analysis to the normalized rank t

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Zuo, Zheng, Liang Liu, Lei Zhang, and Yong Fang. "Indoor Positioning Based on Bluetooth Low-Energy Beacons Adopting Graph Optimization." Sensors 18, no. 11 (2018): 3736. http://dx.doi.org/10.3390/s18113736.

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Bluetooth Low-Energy (BLE) beacons-based indoor positioning is a promising method for indoor positioning, especially in applications of position-based services (PbS). It has low deployment cost and it is suitable for a wide range of mobile devices. Existing BLE beacon-based positioning methods can be categorized as range-based methods and fingerprinting-based methods. For range-based methods, the positions of the beacons should be known before positioning. For fingerprinting-based methods, a pre-requisite is the reference fingerprinting map (RFM). Many existing methods focus on how to perform

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Beaumont, Katy, and Fotini Betsou. "Immunological Fingerprinting Method for Differentiation of Serum Samples in Research-Oriented Biobanks." Clinical and Vaccine Immunology 17, no. 5 (2010): 735–40. http://dx.doi.org/10.1128/cvi.00499-09.

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ABSTRACT An immunoenzymatic serum fingerprinting method was developed to establish a serum sample fingerprint based on IgG titers obtained with three different antigens. Three widely expressed antigens were selected for their capacity to induce long-lasting humoral immune responses. This fingerprinting method may be used to differentiate between two serum samples and to determine whether they come from the same primary blood specimen. The method showed a specificity of 99.5%. This method is suitable as a quality control method for biobanked serum samples.

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Taşcıoğlu, Selçuk, Memduh Köse, and Gökhan Soysal. "Sequential Transient Detection for RF Fingerprinting." Electronics 11, no. 20 (2022): 3333. http://dx.doi.org/10.3390/electronics11203333.

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In this paper, a sequential transient detection method for radio frequency (RF) fingerprinting used in the identification of wireless devices is proposed. To the best knowledge of the authors, sequential detection of transient signals for RF fingerprinting has not been considered in the literature. The proposed method is based on an approximate implementation of the generalized likelihood ratio algorithm. The method can be implemented online in a recursive manner with low computational and memory requirements. The transients of wireless transmitters are detected by using the likelihood ratio o

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Belmonte-Fernández, Óscar, Emilio Sansano-Sansano, Antonio Caballer-Miedes, Raúl Montoliu, Rubén García-Vidal, and Arturo Gascó-Compte. "A Generative Method for Indoor Localization Using Wi-Fi Fingerprinting." Sensors 21, no. 7 (2021): 2392. http://dx.doi.org/10.3390/s21072392.

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Indoor localization is an enabling technology for pervasive and mobile computing applications. Although different technologies have been proposed for indoor localization, Wi-Fi fingerprinting is one of the most used techniques due to the pervasiveness of Wi-Fi technology. Most Wi-Fi fingerprinting localization methods presented in the literature are discriminative methods. We present a generative method for indoor localization based on Wi-Fi fingerprinting. The Received Signal Strength Indicator received from a Wireless Access Point is modeled by a hidden Markov model. Unlike other algorithms,

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Saleem, Fasiha, and Shurjeel Wyne. "Wlan–Based Indoor Localization Using Neural Networks." Journal of Electrical Engineering 67, no. 4 (2016): 299–306. http://dx.doi.org/10.1515/jee-2016-0044.

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Abstract Wireless indoor localization has generated recent research interest due to its numerous applications. This work investigates Wi-Fi based indoor localization using two variants of the fingerprinting approach. Specifically, we study the application of an artificial neural network (ANN) for implementing the fingerprinting approach and compare its localization performance with a probabilistic fingerprinting method that is based on maximum likelihood estimation (MLE) of the user location. We incorporate spatial correlation of fading into our investigations, which is often neglected in simu

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Jiao, Jiajia, Hong Yang, and Ran Wen. "LLM-WFIN: A Fine-Grained Large Language Model (LLM)-Oriented Website Fingerprinting Attack via Fusing Interrupt Trace and Network Traffic." Electronics 14, no. 7 (2025): 1263. https://doi.org/10.3390/electronics14071263.

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Popular Large Language Models (LLMs) access uses website browsing and also faces website fingerprinting attacks. Website fingerprinting attacks have increasingly threatened website users to the leakage of browsing privacy. In addition to the often-used network traffic analysis, interrupt tracing exploits the microarchitectural side channels to be a new compromising method and assists website fingerprinting attacks on non-LLM websites with up to 96.6% classification accuracy. More importantly, our observations show that LLM website access performs inherent defense and decreases the attack class

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Feng, Bo, Wei Tang, Guofa Guo, and Xiaohong Jia. "An Improved Pedestrian Ttracking Method Based on Wi-Fi Fingerprinting and Pedestrian Dead Reckoning." Sensors 20, no. 3 (2020): 853. http://dx.doi.org/10.3390/s20030853.

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Wi-Fi based positioning has great potential for use in indoor environments because Wi-Fi signals are near-ubiquitous in many indoor environments. With a Reference Fingerprint Map (RFM), fingerprint matching can be adopted for positioning. Much assisting information can be adopted for increasing the accuracy of Wi-Fi based positioning. One of the most adopted pieces of assisting information is the Pedestrian Dead Reckoning (PDR) information derived from inertial measurements. This is widely adopted because the inertial measurements can be acquired through a Commercial Off The Shelf (COTS) smart

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Ahmad, A., P. Claudio, A. Alizadeh Naeini, and G. Sohn. "WI-FI RSS FINGERPRINTING FOR INDOOR LOCALIZATION USING AUGMENTED REALITY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 (August 3, 2020): 57–64. http://dx.doi.org/10.5194/isprs-annals-v-4-2020-57-2020.

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Abstract. Indoor localization has attracted the attention of researchers for wide applications in areas like construction, facility management, industries, logistics, and health. The Received Signal Strength (RSS) based fingerprinting method is widely adopted because it has a lower cost over other methods. RSS is a measurement of the power present in the received radio signal. While this fingerprinting method is very popular, there is a significant amount of effort required for collecting fingerprints for indoor space. In this paper, we propose an RSS fingerprinting method using Augmented Real

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Duong-Bao, Ninh, Jing He, Luong Nguyen Thi, Khanh Nguyen-Huu, and Seon-Woo Lee. "A Novel Valued Tolerance Rough Set and Decision Rules Method for Indoor Positioning Using WiFi Fingerprinting." Sensors 22, no. 15 (2022): 5709. http://dx.doi.org/10.3390/s22155709.

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In recent years, due to the ubiquitous presence of WiFi access points in buildings, the WiFi fingerprinting method has become one of the most promising approaches for indoor positioning applications. However, the performance of this method is vulnerable to changes in indoor environments. To tackle this challenge, in this paper, we propose a novel WiFi fingerprinting method that uses the valued tolerance rough set theory–based classification method. In the offline phase, the conventional received signal strength (RSS) fingerprinting database is converted into a decision table. Then a new finger

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Febriansyah, Luke Michael, and Shinta Estri Wahyuningrum. "ANALYSIS WINNOWING ALGORITHM FOR TEXT PLAGIARISM DETECTION USING THREE METHOD SIMILARITY." Proxies : Jurnal Informatika 2, no. 2 (2021): 42. http://dx.doi.org/10.24167/proxies.v2i2.3208.

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Cases of plagiarism in recent years has been an issues. Based on that issues, this research will create a system to detect similarity in a text. There is an aspect as reference of the research that is analyze the plagiarism algorithm. This research will analyze the accuracy one of plagiarism check algorithm, winnowing algorithm. Winnowing algorithm is a plagiarism detection algorithm based on document fingerprinting. To calculate percentage similarity of document fingerprinting in text, there are 3 methods to measure similarity that will be used in this research, which is jaccard similarity co

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Zanetti, Stefania, Antonella Deriu, Ilaria Duprè, Maurizio Sanguinetti, Giovanni Fadda, and Leonardo A. Sechi. "Differentiation of Vibrio alginolyticus Strains Isolated from Sardinian Waters by Ribotyping and a New Rapid PCR Fingerprinting Method." Applied and Environmental Microbiology 65, no. 5 (1999): 1871–75. http://dx.doi.org/10.1128/aem.65.5.1871-1875.1999.

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ABSTRACT We investigated the usefulness of a novel PCR fingerprinting technique, based on the specific amplification of genomic regions, to differentiate 30 Vibrio alginolyticus strains isolated in Sardinian waters. The different profiles obtained were scanned and analyzed by a computer program in order to determine genetic relationships. The results were then compared with the patterns obtained by ribotyping with HindIII, KpnI, andXbaI restriction enzymes. PCR fingerprinting could differentiate the strains analyzed into 12 different patterns, whereas ribotyping with XbaI, which produced the h

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Guo, Maohua, and Jinlong Fei. "Website Fingerprinting Attacks Based on Homology Analysis." Security and Communication Networks 2021 (October 4, 2021): 1–14. http://dx.doi.org/10.1155/2021/6070451.

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Website fingerprinting attacks allow attackers to determine the websites that users are linked to, by examining the encrypted traffic between the users and the anonymous network portals. Recent research demonstrated the feasibility of website fingerprinting attacks on Tor anonymous networks with only a few samples. Thus, this paper proposes a novel small-sample website fingerprinting attack method for SSH and Shadowsocks single-agent anonymity network systems, which focuses on analyzing homology relationships between website fingerprinting. Based on the latter, we design a Convolutional Neural

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Guo, Maohua, and Jinlong Fei. "Website Fingerprinting Attacks Based on Homology Analysis." Security and Communication Networks 2021 (October 4, 2021): 1–14. http://dx.doi.org/10.1155/2021/6070451.

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Website fingerprinting attacks allow attackers to determine the websites that users are linked to, by examining the encrypted traffic between the users and the anonymous network portals. Recent research demonstrated the feasibility of website fingerprinting attacks on Tor anonymous networks with only a few samples. Thus, this paper proposes a novel small-sample website fingerprinting attack method for SSH and Shadowsocks single-agent anonymity network systems, which focuses on analyzing homology relationships between website fingerprinting. Based on the latter, we design a Convolutional Neural

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Subedi, Santosh, and Jae-Young Pyun. "Lightweight Workload Fingerprinting Localization Using Affinity Propagation Clustering and Gaussian Process Regression." Sensors 18, no. 12 (2018): 4267. http://dx.doi.org/10.3390/s18124267.

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Fingerprinting localization approach is widely used in indoor positioning applications owing to its high reliability. However, the learning procedure of radio signals in fingerprinting is time-consuming and labor-intensive. In this paper, an affinity propagation clustering (APC)-based fingerprinting localization system with Gaussian process regression (GPR) is presented for a practical positioning system with the reduced offline workload and low online computation cost. The proposed system collects sparse received signal strength (RSS) data from the deployed Bluetooth low energy beacons and tr

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R, Balabhaskar, and Vijayalakshmi K. "HIGH-PERFORMANCE THIN-LAYER CHROMATOGRAPHY FINGERPRINT PROFILE OF BAUHINIA TOMENTOSA LINN. LEAVES." Asian Journal of Pharmaceutical and Clinical Research 11, no. 2 (2018): 344. http://dx.doi.org/10.22159/ajpcr.2018.v11i2.23294.

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Objective: Chromatographic fingerprint is an effective method for doing the fingerprinting of a plant species. In this study, high-performance thin-layer chromatography (HPTLC) analysis of Bauhinia tomentosa was done in n-hexane, chloroform, and ethanol extracts.Methods: The extract of leaves was developed using toluene:ethyl acetate:formic acid:glacial acetic acid (7:3:0.1:0.1) for n-hexane, toluene:ethyl acetate:formic acid (6:2:0.5) for chloroform, and chloroform:methanol:formic acid (8:1.5:0.2) for ethanol extract as mobile phase using standard procedures and scanned under ultraviolet at 2

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Han, Zehua, Jing Xiao, Qirui Zhao, et al. "Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 1 (2025): 264–72. https://doi.org/10.1609/aaai.v39i1.32003.

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In complex electromagnetic environments, the identification and differentiation of diverse radio frequency (RF) emitters become particularly crucial. Existing RF fingerprinting methods demonstrate limitations when dealing with numerous unknown emitters, making it challenging for accurate classification and recognition. These limitations hinder the effective handling of specific unknown emitters.To address this issue, we introduce a novel RF fingerprinting method suitable for open-world conditions for the first time. We develop a novel RF fingerprinting model, Roinformer, to extract signal feat

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Strelkovskaya, Irina, Irina Solovskaya, and Juliya Strelkovska. "Fingerprinting/indoor positioning using complex planar splines." Journal of Electrical Engineering 72, no. 6 (2021): 401–6. http://dx.doi.org/10.2478/jee-2021-0057.

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Abstract The rapid development of various LBS-based applications and services that operate on the basis of the user’s current location, both global GPS and local LBS, today require the development of new and improved methods. This concerns, first of all, methods for determining the local location of LPS users in premises, if there is a high concentration of users and the presence of difficulties in the propagation of radio signals. the use of local methods of location determination based on the fingerprinting method is considered. It is shown that to improve the user positioning accuracy, it i

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Ding, Xuxing, Bingbing Wang, and Zaijian Wang. "Dynamic threshold location algorithm based on fingerprinting method." ETRI Journal 40, no. 4 (2018): 531–36. http://dx.doi.org/10.4218/etrij.2017-0155.

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Budaházi, Árpád, and Zsanett Fantoly. "Brain Fingerprinting as a Criminalistics Technique and Method." Magyar Rendészet 19, no. 1 (2019): 35–49. http://dx.doi.org/10.32577/mr.2019.1.2.

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Nie, Tingyuan, Jie Sun, Aiguo Ji, and Zhe-Ming Lu. "Circuit partitioning based fingerprinting method for IP protection." IEICE Electronics Express 10, no. 7 (2013): 20130138. http://dx.doi.org/10.1587/elex.10.20130138.

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Xu, Fan, Xuke Hu, Shuaiwei Luo, and Jianga Shang. "An Efficient Indoor Wi-Fi Positioning Method Using Virtual Location of AP." ISPRS International Journal of Geo-Information 9, no. 4 (2020): 261. http://dx.doi.org/10.3390/ijgi9040261.

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Wi-Fi fingerprinting has been widely used for indoor localization because of its good cost-effectiveness. However, it suffers from relatively low localization accuracy and robustness owing to the signal fluctuations. Virtual Access Points (VAP) can effectively reduce the impact of signal fluctuation problem in Wi-Fi fingerprinting. Current techniques normally use the Log-Normal Shadowing Model to estimate the virtual location of the access point. This would lead to inaccurate location estimation due to the signal attenuation factor in the model, which is difficult to be determined. To overcome

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Bi, Jingxue, Lu Huang, Hongji Cao, et al. "Improved Indoor Fingerprinting Localization Method Using Clustering Algorithm and Dynamic Compensation." ISPRS International Journal of Geo-Information 10, no. 9 (2021): 613. http://dx.doi.org/10.3390/ijgi10090613.

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Many indoor fingerprinting localization methods are based on signal-domain distances with large localization error and low stability. An improved fingerprinting localization method using a clustering algorithm and dynamic compensation was proposed. In the offline stage, the fingerprint database was built and clustered based on offline hybrid distance and an affinity propagation clustering algorithm. Furthermore, clusters were adjusted using transition regions and a given radius, as well as updating the corresponding position and fingerprint of the cluster centroid. In the online stage, the los

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Song, Boming, Shen Zhang, Jia Long, and Qingsong Hu. "Fingerprinting Localization Method Based on TOA and Particle Filtering for Mines." Mathematical Problems in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/3215978.

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Accurate target localization technology plays a very important role in ensuring mine safety production and higher production efficiency. The localization accuracy of a mine localization system is influenced by many factors. The most significant factor is the non-line of sight (NLOS) propagation error of the localization signal between the access point (AP) and the target node (Tag). In order to improve positioning accuracy, the NLOS error must be suppressed by an optimization algorithm. However, the traditional optimization algorithms are complex and exhibit poor optimization performance. To s

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Yoo, Jaehyun. "Multiple Fingerprinting Localization by an Artificial Neural Network." Sensors 22, no. 19 (2022): 7505. http://dx.doi.org/10.3390/s22197505.

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Fingerprinting localization is a promising indoor positioning methods thanks to its advantage of using preinstalled infrastructure. For example, WiFi signal strength can be measured by pre-existing WiFi routers. In the offline phase, the fingerprinting localization method first stores of position and RSSI measurement pairs in a dataset. Second, it predicts a target’s location by comparing the stored fingerprint database to the current measurement. The database size is normally huge, and data patterns are complicated; thus, an artificial neural network is used to model the relationship of finge

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SOŁTYSIK, DAGNA A., ILONA A. BEDNAREK, TOMASZ M. LOCH, et al. "Repetitive Extragenic Palindromic PCR (REP-PCR) as an Alternative Method for Detection of Bulking in Activated Sludge." Polish Journal of Microbiology 59, no. 1 (2010): 11–20. http://dx.doi.org/10.33073/pjm-2010-002.

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Bulking of activated sludge is a world-wide problem which negatively affects wastewater treatment efficiency. The most common reasons of bulking are bacterial community changes, especially excessive growth of filamentous bacteria (filamentous bulking) or excess of biopolymers on the surface of non-filamentous microbes (non-filamentous or Zoogleal bulking). Because of the complex nature of the bulking phenomenon finding a successful bulking control strategy remains a very important issue that awaits new options and advices. The REP-PCR fingerprinting method has been applied to distinguish a bac

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Yuan, Meng, Xiaoyan Liu, Yue Sun, et al. "Chromatographic Fingerprinting Based on Column Switching Technology for Quality Evaluation of Tianmeng Oral Liquid." International Journal of Analytical Chemistry 2021 (September 29, 2021): 1–8. http://dx.doi.org/10.1155/2021/2514762.

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Separation power was limited when the conventional high-performance liquid chromatography (HPLC) fingerprinting method based on a single column was used to analyze very complex traditional Chinese medicine (TCM) preparations. In this research, a novel HPLC fingerprinting method based on column switching technology by using a single pump was established for evaluating the quality of Tianmeng oral liquid (TMOL). Twelve batches of TMOL samples were used for constructing HPLC fingerprints. Compared with the 16 common peaks in fingerprinting with a single column, 25 common peaks were achieved with

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Dai, Peng, Yuan Yang, Manyi Wang, and Ruqiang Yan. "Combination of DNN and Improved KNN for Indoor Location Fingerprinting." Wireless Communications and Mobile Computing 2019 (March 6, 2019): 1–9. http://dx.doi.org/10.1155/2019/4283857.

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Fingerprinting based on Wi-Fi Received Signal Strength Indicator (RSSI) has been widely studied in recent years for indoor localization. While current algorithms related to RSSI Fingerprinting show a much lower accuracy than multilateration based on time of arrival or the angle of arrival techniques, they highly depend on the number of access points (APs) and fingerprinting training phase. In this paper, we present an integrated method by combining the deep neural network (DNN) with improved K-Nearest Neighbor (KNN) algorithm for indoor location fingerprinting. The improved KNN is realized by

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Kim, Donghyun, Kyuho Son, and Dongsoo Han. "An Adaptive User Tracking Algorithm Using Irregular Data Frames for Passive Fingerprint Positioning." Sensors 22, no. 19 (2022): 7124. http://dx.doi.org/10.3390/s22197124.

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Wi-Fi fingerprinting is the most popular indoor positioning method today, representing received signal strength (RSS) values as vector-type fingerprints. Passive fingerprinting, unlike the active fingerprinting method, has the advantage of being able to track location without user participation by utilizing the signals that are naturally emitted from the user’s smartphone. However, since signals are generated depending on the user’s network usage patterns, there is a problem in that data are irregularly collected according to the patterns. Therefore, this paper proposes an adaptive algorithm t

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Dong, Kai, Zhen Ling, Xiangyu Xia, Haibo Ye, Wenjia Wu, and Ming Yang. "Dealing with Insufficient Location Fingerprints in Wi-Fi Based Indoor Location Fingerprinting." Wireless Communications and Mobile Computing 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/1268515.

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The development of the Internet of Things has accelerated research in the indoor location fingerprinting technique, which provides value-added localization services for existing WLAN infrastructures without the need for any specialized hardware. The deployment of a fingerprinting based localization system requires an extremely large amount of measurements on received signal strength information to generate a location fingerprint database. Nonetheless, this requirement can rarely be satisfied in most indoor environments. In this paper, we target one but common situation when the collected measu

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