المؤلفون: Xu, Shihao, Chen, Ruizhi, Guo, Guangyi, Huang, Lixiong, Li, Zheng, Qian, Long, Ye, Feng, Chen, Liang

المساهمون: National Natural Science Foundation of China, National Key Research and Development Program of China, Postdoctoral Research Foundation of China, Fundamental Research Funds for the Central Universities

المصدر: IEEE Sensors Journal ; volume 24, issue 12, page 20154-20166 ; ISSN 1530-437X 1558-1748 2379-9153

الإتاحة: https://doi.org/10.1109/jsen.2024.3394047Test
http://xplorestaging.ieee.org/ielx7/7361/10558706/10517891.pdf?arnumber=10517891Test

المؤلفون: Li, Zheng, Chen, Ruizhi, Guo, Guangyi, Ye, Feng, Qian, Long, Xu, Shihao, Huang, Lixiong, Chen, Liang

المساهمون: NSFC, Technology Innovation Program of Hubei Province, Postdoctoral Research Foundation of China, Fundamental Research Funds for the Central Universities, LIESMARS Special Research Funding

المصدر: IEEE Internet of Things Journal ; volume 11, issue 4, page 6494-6507 ; ISSN 2327-4662 2372-2541

مصطلحات موضوعية: Computer Networks and Communications, Computer Science Applications, Hardware and Architecture, Information Systems, Signal Processing

الإتاحة: https://doi.org/10.1109/jiot.2023.3312853Test
http://xplorestaging.ieee.org/ielx7/6488907/10419857/10242383.pdf?arnumber=10242383Test

المؤلفون: Xu, Shihao, Chen, Ruizhi, Guo, Guangyi, Li, Zheng, Qian, Long, Ye, Feng, Huang, Lixiong, Liu, Zuoya

المساهمون: NSFC, Technology Innovation Program of Hubei Province, Postdoctoral Research Foundation of China, Fundamental Research Funds for the Central Universities, LIESMARS Special Research Funding

المصدر: IEEE Internet of Things Journal ; volume 11, issue 4, page 6171-6184 ; ISSN 2327-4662 2372-2541

مصطلحات موضوعية: Computer Networks and Communications, Computer Science Applications, Hardware and Architecture, Information Systems, Signal Processing

الإتاحة: https://doi.org/10.1109/jiot.2023.3309976Test
http://xplorestaging.ieee.org/ielx7/6488907/10419857/10234703.pdf?arnumber=10234703Test

المؤلفون: Lin, Xinchuang, Chen, Ruizhi, Huang, Lixiong, Liu, Zuoya, Niu, Xiaoguang, Guo, Guangyi, Li, Zheng, Qian, Long

المساهمون: NSFC, Technology Innovation Program of Hubei Province, Postdoctoral Research Foundation of China, Fundamental Research Funds for the Central Universities, LIESMARS Special Research Funding

المصدر: IEEE Internet of Things Journal ; volume 11, issue 1, page 848-862 ; ISSN 2327-4662 2372-2541

الإتاحة: https://doi.org/10.1109/jiot.2023.3287593Test
http://xplorestaging.ieee.org/ielx7/6488907/10375273/10158339.pdf?arnumber=10158339Test

المؤلفون: Potort, Francesco, Torres-Sospedra, Joaquín, Quezada Gaibor, Darwin, Jiménez, Antonio Ramón, Seco, Fernando, Perez-Navarro, Antoni, Ortiz, Miguel, Zhu, Ni, Renaudin, Valerie, Ichikari, Ryosuke, Shimomura, Ryo, Kaichi, Tomoya, Zhou, Baoding, Liu, Xu, Gu, Zhining, Yang, Chengjing, Wu, Zhiqian, Xie, Doudou, Huang, Can, Zheng, Lingxiang, Peng, Ao, Jin, Ge, Wang, Qu, Luo, Haiyong, Xiong, Hao, Bao, Linfeng, Zhang, Pushuo, Zhao, Fang, Yu, Chia-An, Hung, Chung-Hao, Antsfeld, Leonid, Chidlovskii, Boris, Jiang, Haitao, Xia, Ming, Yan, Dayu, Li, Yuhang, Dong, Yitong, Silva, Ivo, Pendão, Cristiano, Meneses, Filipe, Nicolau, Maria João, Costa, António, Moreira, Adriano, De Cock, Cedric, Plets, David, Opiela, Miroslav, Dzama, Jakub, Zhang, Liqiang, Li, Hu, Chen, Boxuan, Liu, Yu, Yean, Seanglidet, Lim, Bo Zhi, Teo, Wei Jie, Lee, Bu Sung, OH, HL, ohta, nozomu, Nagae, Satsuki, Kurata, Takeshi, dongyan, wei, Ji, Xinchun, Zhang, Wenchao, Kram, Sebastian, Stahlke, Maximilian, Mutschler, Christopher, Crivello, Antonino, Barsocchi, Paolo, GIROLAMI, MICHELE, Palumbo, Filippo, Chen, Ruizhi, Wu, Yuan, Li, Wei, Yu, Yue, Xu, Shihao, Huang, Lixiong, Liu, Tao, Kuang, Jian, Niu, Xiaoji, Yoshida, Takuto, Nagata, Yoshiteru, Fukushima, Yuto, Fukatani, Nobuya, Hayashida, Nozomi, Asai, Yusuke, Urano, Kenta, Ge, Wenfei, Lee, Nien-Ting, Fang, Shih-Hau, Jie, You-Cheng, Young, Shawn-Rong, Chien, Ying-Ren, Yu, Chih-Chieh, Ma, Chengqi, Wu, Bang, Zhang, Wei, Wang, Yankun, Fan, Yonglei, Poslad, Stefan, Selviah, David, Wang, Weixi, Yuan, Hong, Yonamoto, Yoshitomo, Yamaguchi, Masahiro

المساهمون: Universitat Oberta de Catalunya (UOC)

مصطلحات موضوعية: indoor positioning and navigation, evaluation, smartphone-based positioning, foot-mounted IMU, positioning in industrial scenarios and factories, vehicle-positioning, navegación y posicionamiento en interiores, evaluación, posiciónamiento basado en teléfonos inteligentes, IMU con patas, posicionamiento en escenarios industriales y fábricas, posicionamiento del vehículo, navegació i posicionament en interiors, evaluació, posicionament basat en teléfons inteligents, IMU amb cames, posicionament en escenaris industrials i fabriques, posicionament del vehicle, electronics in navigation, electrònica en la navegació, electrónica en la nevagación

الوصف: Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoorpositioning andnavigationpurposes.Throughfaircomparison of the performance achieved by each system, the competition was able to identify the most promising approaches and to pinpoint the most critical working conditions. In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning. The results in terms of participation and accuracy of the proposed systems have been encouraging. The best performing competitors obtained a third quartile of error of 1m for the Smartphone Track and 0.5m for the Footmounted IMU Track. While not running on physical systems, but only as algorithms, these results represent impressive achievements

وصف الملف: application/pdf

العلاقة: IEEE Sensors Journal, 2022, 22(6); https://www.doi.org/10.1109/JSEN.2021.3083149Test; http://hdl.handle.net/10609/147005Test

الإتاحة: https://doi.org/10.1109/JSEN.2021.3083149Test
http://hdl.handle.net/10609/147005Test

المؤلفون: Potorti, Francesco, Torres-Sospedra, Joaquín, Quezada-Gaibor, Darwin, Jimenez, Antonio Ramon, Seco, Fernando, Perez-Navarro, Antoni, Ortiz, Miguel, Zhu, Ni, Renaudin, Valerie, Ichikari, Ryosuke, Shimomura, Ryo, Ohta, Nozomu, Nagae, Satsuki, Kurata, Takeshi, Wei, Dongyan, Ji, Xinchun, Zhang, Wenchao, Kram, Sebastian, Stahlke, Maximilian, Mutschler, Christopher, Crivello, Antonino, Barsocchi, Paolo, Girolami, Michele, Palumbo, Filippo, Chen, Ruizhi, Wu, Yuan, Li, Wei, Yu, Yue, Xu, Shihao, Huang, Lixiong, Liu, Tao, Kuang, Jian, Niu, Xiaoji, Yoshida, Takuto, Nagata, Yoshiteru, Fukushima, Yuto, Fukatani, Nobuya, Hayashida, Nozomi, Asai, Yusuke, Urano, Kenta, Ge, Wenfei, Lee, Nien-Ting, Fang, Shih-Hau, Jie, You-Cheng, Young, Shawn-Rong, Chien, Ying-Ren, Yu, Chih-Chieh, Ma, Chengqi, Wu, Bang, Zhang, Wei, Wang, Yankun, Fan, Yonglei, Poslad, Stefan, Selviah, David R., Wang, Weixi, Yuan, Hong, Yonamoto, Yoshitomo, Yamaguchi, Masahiro, Kaichi, Tomoya, Zhou, Baoding, Liu, Xu, Gu, Zhining, Yang, Chengjing, Wu, Zhiqian, Xie, Doudou, Huang, Can, Zheng, Lingxiang, Peng, Ao, Jin, Ge, Wang, Qu, Luo, Haiyong, Xiong, Hao, Bao, Linfeng, Zhang, Pushuo, Zhao, Fang, Yu, Chia-An, Hung, Chun-Hao, Antsfeld, Leonid, Silva, Ivo Miguel Menezes, Pendão, Cristiano Gonçalves, Meneses, Filipe, Nicolau, Maria João, Costa, António, Moreira, Adriano, Cock, Cedric De, Plets, David, Opiela, Miroslav, Jakub Džama, Zhang, Liqiang, Li, Hu, Chen, Boxuan, Liu, Yu, Yean, Seanglidet, Lim, Bo Zhi, Teo, Wei Jie, Lee, Bu Sung, Oh, Hong Lye

مصطلحات موضوعية: Sensor phenomena and characterization, Indoor navigation, Testing, Standards, Satellite broadcasting, Recurrent neural networks, Received signal strength indicator, Indoor positioning and navigation, evaluation, smartphone-based positioning, foot-mounted IMU, positioning in industrial scenarios and factories, vehicle-positioning, Ciências Naturais::Ciências da Computação e da Informação, Science & Technology

الوصف: Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition provided a unique overview of the state-of-the-art of systems, technologies, and methods for indoor positioning and navigation purposes. Through fair comparison of the performance achieved by each system, the competition was able to identify the most promising approaches and to pinpoint the most critical working conditions. In 2020, the competition included 5 diverse off-site off-site Tracks, each resembling real use cases and challenges for indoor positioning. The results in terms of participation and accuracy of the proposed systems have been encouraging. The best performing competitors obtained a third quartile of error of 1 m for the Smartphone Track and 0.5 m for the Foot-mounted IMU Track. While not running on physical systems, but only as algorithms, these results represent impressive achievements. ; Track 3 organizers were supported by the European Union’s Horizon 2020 Research and Innovation programme under the Marie Skłodowska Curie Grant 813278 (A-WEAR: A network for dynamic WEarable Applications with pRivacy constraints), MICROCEBUS (MICINN, ref. RTI2018-095168-B-C55, MCIU/AEI/FEDER UE), INSIGNIA (MICINN ref. PTQ2018-009981), and REPNIN+ (MICINN, ref. TEC2017-90808-REDT). We would like to thanks the UJI’s Library managers and employees for their support while collecting the required datasets for Track 3. Track 5 organizers were supported by JST-OPERA Program, Japan, under Grant JPMJOP1612. Track 7 organizers were supported by the Bavarian Ministry for Economic Affairs, Infrastructure, Transport and Technology through the Center for Analytics-Data-Applications (ADA-Center) within the framework of “BAYERN DIGITAL II. ” Team UMinho (Track 3) was supported by FCT—Fundação para a Ciência e Tecnologia within the R&D Units Project Scope under Grant UIDB/00319/2020, and the Ph.D. ...

وصف الملف: application/pdf

العلاقة: info:eu-repo/grantAgreement/EC/H2020/813278/EU; info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT; info:eu-repo/grantAgreement/FCT/POR_NORTE/PD%2FBD%2F137401%2F2018/PT; https://ieeexplore.ieee.org/document/9439493Test; F. Potortì et al., "Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition," in IEEE Sensors Journal, vol. 22, no. 6, pp. 5011-5054, 15 March15, 2022, doi:10.1109/JSEN.2021.3083149.; https://hdl.handle.net/1822/82092Test

الإتاحة: https://doi.org/10.1109/JSEN.2021.3083149Test
https://hdl.handle.net/1822/82092Test

المؤلفون: Chen, Ying, Chen, Liang, Huang, Lixiong, Liu, Xiaoyan, Ma, Zhen, Pan, Yinghua

المصدر: Journal of Physics: Conference Series ; volume 2203, issue 1, page 012054 ; ISSN 1742-6588 1742-6596

الوصف: Currently, indoor location-based services (ILBSs) have increasing requirements in people’s daily life. In the meanwhile, the wearable devices are becoming more popular. In this paper, we studied a wearable system for indoor localization mainly based on INS/UWB. In order to achieve high-precision, stable, and continuous positioning, a sensor fusion method with anomaly detection is proposed. In the method, the sensor fusion method is derived from Bayesian estimation and a particle filter is developed to solve the nonlinearity problem and non-Gaussian errors for indoor positioning. In addition, the anomaly detection eliminates effects of NLoS and multipath effects significantly with the Mahalanobis distance. Two field experiments are conducted, and the results demonstrate that the 90% error of the proposed adaptive particle filter is 0.53 m, which is a 40% decrease compared with the PDR-only and UWB-only and classic PF, indicating better robustness and stability.

الإتاحة: https://doi.org/10.1088/1742-6596/2203/1/012054Test

المؤلفون: Huang, Lixiong, Wang, Han, Wu, Peixuan, Huang, Weimin, Gao, Wei, Fang, Feiyu, Cai, Nian, Chen, Rouxi, Zhu, Ziming

المساهمون: School of Mechanical and Aerospace Engineering

مصطلحات موضوعية: Engineering::Mechanical engineering, Flexible Strain Sensor, Laser-induced Graphene

الوصف: Laser-induced graphene (LIG) has the advantages of one-step fabrication, prominent mechanical performance, as well as high conductivity; it acts as the ideal material to fabricate flexible strain sensors. In this study, a wearable flexible strain sensor consisting of three-dimensional (3D) wavy LIG and silicone rubber was reported. With a laser to scan on a polyimide film, 3D wavy LIG could be synthesized on the wavy surface of a mold. The wavy-LIG strain sensor was developed by transferring LIG to silicone rubber substrate and then packaging. For stress concentration, the ultimate strain primarily took place in the troughs of wavy LIG, resulting in higher sensitivity and less damage to LIG during stretching. As a result, the wavy-LIG strain sensor achieved high sensitivity (gauge factor was 37.8 in a range from 0% to 31.8%, better than the planar-LIG sensor), low hysteresis (1.39%) and wide working range (from 0% to 47.7%). The wavy-LIG strain sensor had a stable and rapid dynamic response; its reversibility and repeatability were demonstrated. After 5000 cycles, the signal peak varied by only 2.32%, demonstrating the long-term durability. Besides, its applications in detecting facial skin expansion, muscle movement, and joint movement, were discussed. It is considered a simple, efficient, and low-cost method to fabricate a flexible strain sensor with high sensitivity and structural robustness. Furthermore, the wavy-LIG strain senor can be developed into wearable sensing devices for virtual/augmented reality or electronic skin. ; Published version

وصف الملف: application/pdf

العلاقة: Sensors; Huang, L., Wang, H., Wu, P., Huang, W., Gao, W., Fang, F., . . . Zhu, Z. (2020). Wearable flexible strain sensor based on three-dimensional wavy laser-induced graphene and silicone rubber. Sensors, 20(15), 4266-. doi:10.3390/s20154266; https://hdl.handle.net/10356/146055Test; 2-s2.0-85088901003; 15; 20

الإتاحة: https://doi.org/10.3390/s20154266Test
https://hdl.handle.net/10356/146055Test

المؤلفون: Zhang, Rongguang, Wang, Han, Zhu, Ziming, Chen, Rouxi, Chen, Xindu, Zeng, Jun, Xu, Guojie, Wei, Chunhua, Zhang, Qing, Bai, Jianfu, Huang, Lixiong

المساهمون: University Innovation and Entrepreneurship Education Major Project of Guangzhou City, Guangdong University Students Science and Technology Innovation Cultivation Special Fund, Key Laboratory Construction Projects in Guangdong, China Postdoctoral Science Foundation

المصدر: AIP Advances ; volume 10, issue 10 ; ISSN 2158-3226

الوصف: Electrospinning technology is considered to be one of the efficient, convenient, and low-cost technologies for preparing nanofibers, which can be applied in various industries, including filtration, catalysis, and energy. Here, aiming at the performance requirements of the nanometer fiber filter membrane for filtering PM2.5, the preparation of the nanofiber filter membrane was realized based on multi-needle electrospinning equipment. Meanwhile, by adding silver nitrate to the spinning solution, a polyvinylidene fluoride antibacterial nanofiber filter layer with high filtration efficiency and low resistance was successfully prepared on the traditional air conditioning filter meshes. We found that four key factors affecting the filtration performance include ambient humidity, substrate meshes, voltage, and production rate. Among them, voltage and production rate are the key factors affecting the filtration performance. According to the development trend of multifunctional nanofiber membranes, the preparation of air conditioning filters with nanofibers as the main filter material was realized, producing air conditioning filter membranes with antibacterial and deodorizing functions. This article provides a reliable experimental basis and empirical reference for the preparation of nanofiber membranes based on multi-needle electrospinning technology.

الإتاحة: https://doi.org/10.1063/5.0009170Test

المؤلفون: Liu, Zuoya, Chen, Ruizhi, Ye, Feng, Huang, Lixiong, Guo, Guangyi, Xu, Shihao, Chen, Danni, Chen, Liang

المساهمون: National Natural Science Foundation of China

المصدر: IEEE Transactions on Vehicular Technology ; volume 72, issue 1, page 1159-1168 ; ISSN 0018-9545 1939-9359

الإتاحة: https://doi.org/10.1109/tvt.2022.3205960Test
http://xplorestaging.ieee.org/ielx7/25/10017140/09888063.pdf?arnumber=9888063Test