Results 151 to 160 of about 13,505 (203)

Advancements in antiviral approaches against foot-and-mouth disease virus: a comprehensive review. [PDF]

Front Vet Sci
Mohamadin M, Manzoor R, Elolimy A, Abdelmegeid M, Mosad S, Abd El Rahman S.   +5 more
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Virotrap Reveals Salmonella SopB as A Ubiquitinated Cargo for Host ESCRT-0

De Meyer M, Verhee A, Grzesik H, De Sutter D, Huyghe J, Delhaye L, Van de Steene T, Fijalkowski I, Jonckheere V, Meuris L, Bertrand MJ, Van Damme P, Stévenin V, Eyckerman S.   +13 more
europepmc   +1 more source

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Using Data Pre-Processing and Convolutional Neural Network (CNN) to Mitigate Light Deficient Regions in Visible Light Positioning (VLP) Systems

Journal of Lightwave Technology, 2022
New systems and technologies, such as Internet-of-Things (IOT) may require high reliability and high accuracy indoor positioning and tracking of persons and devices in indoor areas. Among different visible-light-positioning (VLP) schemes, received-signal-
Li-Sheng Hsu, Deng-Cheng Tsai, Chi-Wai Chow, Yang Liu, Yun-Han Chang, Yuan-Zeng Lin, Chien-Hung Yeh, Yi-Chang Wang, Yi-Yuan Chen   +8 more
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Using Machine Learning and Light Spatial Sequence Arrangement for Copying Positioning Unit Cell to Reduce Training Burden in Visible Light Positioning (VLP)

2021 30th Wireless and Optical Communications Conference (WOCC), 2021
Machine learning (ML) can improve the positioning accuracy in visible-light-positioning (VLP) system. To reduce the training time and complexity, the first step is to divide the whole positioning area into many positioning unit cells. The second step is to train one positioning unit cell; and then copy the “trained” unit cell model to other un-trained “
Li-Sheng Hsu, Dong-Chang Lin, Chi-Wai Chow, Tun-Yao Hung, Yun-Han Chang, Ching-Wei Peng, Yang Liu, Chien-Hung Yeh, Kun-Hsien Lin   +8 more
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Using Received-Signal-Strength (RSS) Pre-Processing and Convolutional Neural Network (CNN) to Enhance Position Accuracy in Visible Light Positioning (VLP)

Optical Fiber Communication Conference (OFC) 2022, 2022
We propose and demonstrate a received-signal-strength (RSS) pre-processing scheme to mitigate light-deficient-region occurred in visible-light-positioning (VLP) and convolutional-neural-network (CNN) to enhance VLP performance. The RSS pre-processing and CNN model are discussed.
Li-Sheng Hsu, Deng-Cheng Tsai, Hei Man Chen, Yun-Han Chang, Yang Liu, Chi-Wai Chow, Shao-Hua Song, Chien-Hung Yeh   +7 more
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Using DIALux and Regression-based Machine Learning Algorithm for Designing Indoor Visible Light Positioning (VLP) and Reducing Training Data Collection

Optical Fiber Communication Conference (OFC) 2021, 2021
We propose and demonstrate using DIALux software with regression-machine-learning for designing visible-light-positioning (VLP) systems. Besides, the proposed scheme can also reduce the burden of training data collection in VLP systems.
Shao-Hua Song, Dong-Chang Lin, Yun-Han Chang, Yun-Shen Lin, Chi-Wai Chow, Yang Liu, Chien-Hung Yeh, Kun-Hsien Lin, Yi-Chang Wang, Yi-Yuan Chen   +9 more
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3-D Indoor Visible Light Positioning (VLP) System based on Linear Regression or Kernel Ridge Regression Algorithms

2020 IEEE Globecom Workshops (GC Wkshps, 2020
We proposed and demonstrated a 3-D indoor visible light positioning (VLP) system based on received signal strength (RSS) technique. To enhance the positioning accuracy, linear regression (LR) and kernel ridge regression (KRR) were employed. Here, we experimentally compared both schemes, and reported that the KRR scheme outperformed the LR scheme.
Dong-Chang Lin, Yu-Chun Wu, Chong-You Hong, Shao-Hua Song, Yun-Shen Lin, Yang Liu, Chien-Hung Yeh, Chi-Wai Chow   +7 more
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VLP-BERT: BERT-Enhanced IMU and Visible Light Tightly Coupled Integration Positioning System

IEEE Internet of Things Journal
Visible light positioning (VLP) has emerged as a promising indoor localization technology due to its high accuracy, low cost. However, it still faces challenges, such as environmental interference, signal noise, and occlusion. To address the above issues,
Xuan Wang, Xiaoxiang Cao, Tengfei Yu, Zhenqi Zheng, Zhenghua Zhang, Yue Yu   +5 more
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Utilizing single light-emitting-diode (LED) lamp and silicon solar-cells visible light positioning (VLP) based on angle-of-arrival (AOA) and long-short-term-memory-neural-network (LSTMNN)

Optics Communications, 2022
Li-Sheng Hsu, Chi-Wai Chow, Yang Liu, Yun-Han Chang, Tsun-Ting Tsai, Tun-Yao Hung, Yuan-Zeng Lin, Yin-He Jian, Chien-Hung Yeh   +8 more
openaire   +2 more sources