• Advanced Institute of Engineering and Technology (AVITECH)

  • Seminars

    June 10, 2020: Dr. Dinh Thi Thai Mai (AVITECH), Smartphone-Based Indoor Positioning Using BLE iBeacon and Reliable Lightweight Fingerprint Map

    The introduction of Bluetooth Low Energy (BLE) technology provides new opportunities that the Global Positioning System (GPS) could not provide for indoor localization. In this paper, we introduce a real-time indoor tracking and positioning system using BLE beacon and smartphone sensors. Up to now, most of the system is using Pedestrian Dead Reckoning (PDR). The initial position is considered to have a high impact on the accuracy of PDR, so, based on the analysis of received signal strength (RSS), we present a method to estimate the approximate distance, then, estimate the initial position through Trilateration technique. Next, we propose a lightweight and reliable fingerprint method. This method addresses two problems: (1) to correct errors due to the initial position error and orbital drift of PDR, (2) to reduce the amount of data, number of reference points and collecting data time. The proposed system is implemented on the smartphone as an application. To verify the accuracy of the system, we performed some experiments. The results show that the system not only achieves high accuracy but also the high performance with average complexity and low cost.

    Speaker: Dr. Dinh Thi Thai Mai, AVITECH

    Time: 15:30, Wednesday, June 10, 2020

    Venue: G2-315, 144 Xuan Thuy, Cau Giay, Hanoi


    Dr. Dinh Thi Thai Mai graduated from the Post and Telecommunication Institute of Technology, Vietnam, in 2006. She received the master’s degree from Paris Sud 11, France, in 2008, and the Ph.D. degree from the VNU University of Engineering and Technology, Hanoi, Vietnam, in 2016. She is an Assistant Professor with the Faculty of Electronics and Telecommunications, VNU University of Engineering and Technology, Hanoi, Vietnam. Her research interests focus on 5G mobile networks, wireless communications, and indoor positioning systems in IoT. Attachments ar


    February 2, 2024: Dr. Khoa D. Doan (Vin Univeristy) Toward Reliable and Practical Machine Learning Applications

    While Machine Learning (ML) has rapidly transformed several domains and applications with incredible successes, there are also important areas where the progress is significantly slower. Specifically, there exists a widened complexity gap between the methods currently investigated in research and those used in practice in these areas. One reason is that many algorithms, despite achieving […]

    February 2, 2024: Prof. Heng Ji (University of Illinois at Urbana-Champaign), Combating with Misinformation and Cancer: A Unified Multimodal AI Approach to Healthy and Happy Life

    A research overview of ongoing research projects, especially focusing on two that are most related to the VinUni-UIUC Smart Health Center: (1) Misinformation Detection and Trustworthy Large Language Models; (2) Joint Natural Language and Molecule Learning for Drug Discovery. Unsurprisingly these two seemingly different research problems can be tackled with a unified approach based on […]

    January 11, 2024: Dr. Le Duc Trong (FIT-UET) Resilient Multimodal Learning for Multimodal Emotion Recognition in the Presence of Incomplete Modalities

    Multimodal Emotion Recognition in Conversation (Multimodal ERC) is a critical area of research for interpreting human communication in diverse applications. Nevertheless, the persistent issue of uncertain missing modalities poses a major hurdle, hampering the development of robust Multimodal ERC models. Existing approaches face limitations in effectively leveraging a fusion of diverse data modalities encompassing audio, […]