Results 11 to 20 of about 77,349 (338)
Sensors, 2023 A receive signal strength (RSS) fingerprinting-based indoor wireless localization system (I-WLS) uses a localization machine learning (ML) algorithm to estimate the location of an indoor user using RSS measurements as the position-dependent signal ...
Pavel Prazak +2 more
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An RSS Transform—Based WKNN for Indoor Positioning
Sensors, 2021 An RSS transform–based weighted k-nearest neighbor (WKNN) indoor positioning algorithm, Q-WKNN, is proposed to improve the positioning accuracy and real-time performance of Wi-Fi fingerprint–based indoor positioning.
Rong Zhou
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An Efficient Indoor Positioning Method Based on Wi-Fi RSS Fingerprint and Classification Algorithm
Sensors, 2021 Wi-Fi received signal strength (RSS) fingerprint-based indoor positioning has been widely used because of its low cost and universality advantages. However, the Wi-Fi RSS is greatly affected by multipath interference in indoor environments, which can ...
Moonbae Song, Kwangjin Park
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RSS-Ratio for enhancing performance of RSS-based applications [PDF]
2013 Proceedings IEEE INFOCOM, 2013 RSS (Received Signal Strength) has been widely utilized in wireless applications. It is, however, susceptible to environmental unknowns from both temporal and spatial domains. As a result, the fluctuation of RSS may degrade performance of RSS based applications.
Wei Cheng 0001 +4 more
openaire +3 more sources
Multidimensional characterization of red sour soup with different substrates: integrating sensory, physicochemical, bioactive, and safety attributes [PDF]
Food Chemistry: XRed sour soup (RSS) is a characteristic Chinese fermented food. This study analyzed tomato-based RSS (T-RSS), tomato-chili-based RSS (M-RSS), and tomato-chili-rice-acid based RSS (R-RSS) for sensory, physicochemical, bioactive, and safety properties ...
Liu Tang +6 more
doaj +2 more sources
An Indoor Localization and Tracking System Using Successive Weighted RSS Projection
IEEE Antennas and Wireless Propagation Letters, 2020 This letter proposes a novel successive weighted received signal strength (RSS) indoor localization and tracking system that projects previous time instance estimated mobile device (MD) position to provide projected RSS values.
Soon Yim Tan, Chee Kiat Seow, Kai Wen
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Conference on Emerging Network Experiment and Technology, 2019 While the current literature typically focuses on load-balancing among multiple servers, in this paper, we demonstrate the importance of load-balancing within a single machine (potentially with hundreds of CPU cores).
Barbette, Tom +3 more
openaire +2 more sources
On Target Localization Using Combined RSS and AoA Measurements
Sensors, 2018 This work revises existing solutions for a problem of target localization in wireless sensor networks (WSNs), utilizing integrated measurements, namely received signal strength (RSS) and angle of arrival (AoA).
Slavisa Tomić +2 more
exaly +2 more sources
SEMANTIC SEGMENTATION OF BURNED AREAS IN SATELLITE IMAGES USING A U-NET-BASED CONVOLUTIONAL NEURAL NETWORK [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 The use of remote sensing data for burned area mapping hast led to unprecedented advances within the field in recent years. Although threshold and traditional machine learning based methods have successfully been applied to the task, they implicate ...
A. K. Brand, A. Manandhar
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A Novel 2-D BWA-MEM FPGA Accelerator for Short-Read Mapping of the Whole Human Genome [PDF]
Journal of Applied Research in Electrical Engineering, 2022 The mapping of DNA subsequences to a known reference genome, referred to as “short-read mapping”, is essential for next-generation sequencing. Hundreds of millions of short reads need to be aligned to a tremendously long reference sequence, making short ...
Mahdi Taheri, Ali Mahani
doaj +1 more source