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    Wyświetlanie 1-2 z 2
    Tytuł:
    Research and Solution Proposals to Optimize Distribution Power Grids in Smart Grid Condition
    Autorzy:
    Pham, Trung Son
    Nguyen, Dinh Tien
    Nguyen, Quang Thuan
    Dang, Quang Khoa
    Powiązania:
    https://bibliotekanauki.pl/articles/2020237.pdf
    Data publikacji:
    2021
    Wydawca:
    Polskie Towarzystwo Przeróbki Kopalin
    Tematy:
    smart grid
    power loss
    energy loss
    optimization
    distribution power grids
    strata energii
    optymizacja
    dystrybucja
    Opis:
    Smart Grid is a concept for transforming the electric power grid by using advanced automatic control and communications techniques and other forms of information technology. It integrates innovative tools and technologies from: generation, transmission and distribution. This also includes consumer appliances and equipment. This concept integrates energy infrastructure, processes, devices, information and markets into a coordinated and collaborative process. All allowing energy to be generated, distributed and consumed flexibly and efficiently. However, the Smart Grid with the integration of distributed generation itself also creates a several disadvantages. There can be problems with: stability and reliability, relay protection, isolation and operational isolation in which the problem is to create a burden on the distribution grid when transmitting electrical energy sources. Optimizing power flow and bringing high operating efficiency on Smart Grid conditions is an urgent issue. This paper focuses on researching and proposing solutions for optimal calculation of power flow on Smart Grid. The paper has researched, and analyzed calculation solutions to optimize power flow and proposed to use the Lagrange multiplier method. The study performed calculations for a typical Smart Grid model with three distributed generations. Calculation results have shown that the role of the method is to fully perform the optimal calculation of the power flow on the grid. This is in order to reduce power loss and energy loss as well as increasing operational efficiency while improving power quality in Smart Grid conditions.
    Źródło:
    Inżynieria Mineralna; 2021, 2; 479--486
    1640-4920
    Pojawia się w:
    Inżynieria Mineralna
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Hybrid end-to-end approach integrating online learning with face-identification system
    Autorzy:
    Nguyene, Dat Van
    Nguyen, Son Trung
    Pham, Thi Hong Anh
    Pham, Van Toan
    Hoang, Thao Thu
    Thanh, Ta Minh
    Powiązania:
    https://bibliotekanauki.pl/articles/27312886.pdf
    Data publikacji:
    2023
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    facial recognition
    visual search engine
    end-to-end applications
    online learning
    ElasticSearch (ES)
    ES
    Opis:
    Facial recognition has been one of the most intriguing and exciting research topics over the last few years. It involves multiple face-based algorithms such asfacial detection, facial alignment, facial representation, and facial recognition. However, all of these algorithms are derived from large deep-learning architectures, leading to limitations in development, scalability, accuracy, and deployment for public use with mere CPU servers. Also, large data sets that contain hundreds of thousands of records are often required for training purposes. In this paper, we propose a complete pipeline for an effective face-recognition application that requires only a small data set of Vietnamese celebrities and a CPU for training, solving the problem of data leakage, and the need for GPU devices. The pipeline is based on the combination of a conversion algorithm from face vectors to string tokens and the indexing & retrieval process by Elasticsearch, thereby tackling the problem of online learning in facial recognition. Compared with other popular algorithms on the same data set, our proposed pipeline not only outperforms the counterpart in terms of accuracy but also delivers faster inference, which is essential to real-time applications.
    Źródło:
    Computer Science; 2023, 24 (1); 141--161
    1508-2806
    2300-7036
    Pojawia się w:
    Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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