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    Wyświetlanie 1-6 z 6
    Tytuł:
    A low-cost system for supporting drivers in traffic jams
    Autorzy:
    Hołubowski, Waldemar
    Frankiewicz, Ryszard
    Kusiński, Sławomir
    Sikora, Andrzej
    Zielonka, Adam
    Powiązania:
    https://bibliotekanauki.pl/articles/27314059.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    IoT
    distance sensor
    low cost system
    czujnik odległości
    system niskokosztowy
    Opis:
    Cases of heavy traffic congestion (commonly referred to as traffic jams) have negative influences on the economy, public health, and social life. This makes it important to assist drivers in these situations with Internet of Things (IoT) systems. The aim of this article is to present a low-cost device that supports driving in traffic jams. The system, which is based on data from a laser sensor with a range of up to 40 m, controls the distances to vehicles in front of and behind a moving car. Through audio and video signals, it warns the driver whether the vehicle in front of or behind the equipped vehicle is too close. This allows the driver to control the distance and avoid minor collisions.
    Źródło:
    Transport Problems; 2023, 18, 1; 103--115
    1896-0596
    2300-861X
    Pojawia się w:
    Transport Problems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Implementation of the IOT and cloud technologies in education system
    Autorzy:
    Singh, Ajit
    Powiązania:
    https://bibliotekanauki.pl/articles/1375500.pdf
    Data publikacji:
    2019
    Wydawca:
    Międzynarodowy Instytut Innowacji Nauka – Edukacja – Rozwój w Warszawie
    Tematy:
    The IoT and Cloud Technologies
    Education System
    Implementation
    Opis:
    The Internet has evolved from connecting people and later videos, photos, and text to more recently physical objects. Using sensors, physical objects can “talk” (transmit data) to each other and even command each other to perform a physical act. As things and people become more connected, such objects will also become part of social net-works, much in the same way that people tag photos on Facebook. In this way, the value of such objects will increase for both research and learning. The IOT and Cloud computing technologies can provide solutions for the above-mentioned problems in the education system. Cloud computing enables users to control and access data via the Internet. The main users of a typical higher education cloud include students, faculty, administrative staff, Examination Branch and Admission Branch. All the main users of the institution are connected to the cloud. Separate login is provided for all the users for their respective work[12]. Teachers can upload their class Tutorials, assignments, and tests on the cloud server which students will be able to access all the teaching material provided by the teachers via the Internet using computers and other electronic devices both at home and college and 24X7. This paper focuses on the integration of Cloud and IOT for the education system. Connected de-vices can help make life easier for students with special needs. Many of the daydreams for IOT in education involve students taking advantage of new technologies to complete cool new projects.
    Źródło:
    International Journal of New Economics and Social Sciences; 2019, 9(1); 353-362
    2450-2146
    2451-1064
    Pojawia się w:
    International Journal of New Economics and Social Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Exterior monitoring of targeted objects: UAV platform for real-time identification and authentication of livestock
    Autorzy:
    Pavlásek, Pavel
    Powiązania:
    https://bibliotekanauki.pl/articles/34655778.pdf
    Data publikacji:
    2021
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    monitoring system
    UAV
    identification
    machine learning
    IoT
    beacon
    authentication
    Opis:
    Digitization and automation are transforming traditional systems for monitoring and managing objects in exteriors. Innovative farms are gradually moving in livestock management systems from paper reporting to integrated, shared and autonomous services throughout the livestock live-cycle. Although autonomous monitoring is a reality today, the benefits of autonomous monitoring by unmanned aerial systems (UAVs) for animal identification and authentication do not lie in the herd itself, but in what aerial systems can offer when operated and managed in an integrated ecosystem. At present, UAVs are little used in the agro sector as a concept “mobility-as-a-service” (MaaS), because farmers themselves in the real environment are not able to respond flexibly to technological innovations and adapt to the demand for monitoring and providing authentic data in real-time to the subsidy payment system. The focus of the paper is the presentation of a procedure targeted on design of an objects monitoring system in exterior according to defined parameters with selected main and specific data; taking in the account predefined parameters at the same time, the requirements for technological means and software with the support of machine learning for livestock identification as well as composition of selected technical equipment using the IoT concept with unique beacons for subsequent data processing in the reliable authentication methodology of every monitored objects are defined.
    Źródło:
    Poznan University of Technology Academic Journals. Electrical Engineering; 2021, 106; 5-16
    1897-0737
    Pojawia się w:
    Poznan University of Technology Academic Journals. Electrical Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Resource optimisation in cloud computing: comparative study of algorithms applied to recommendations in a big data analysis architecture
    Autorzy:
    Ndayikengurukiye, Aristide
    Ez-Zahout, Abderrahmane
    Aboubakr, Akou
    Charkaoui, Youssef
    Fouzia, Omary
    Powiązania:
    https://bibliotekanauki.pl/articles/2141815.pdf
    Data publikacji:
    2021
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    cloud computing
    Big Data
    IoT
    recommender system
    KNN algorithm
    Opis:
    Recommender systems (RS) have emerged as a means of providing relevant content to users, whether in social networking, health, education, or elections. Furthermore, with the rapid development of cloud computing, Big Data, and the Internet of Things (IoT), the component of all this is that elections are controlled by open and accountable, neutral, and autonomous election management bodies. The use of technology in voting procedures can make them faster, more efficient, and less susceptible to security breaches. Technology can ensure the security of every vote, better and faster automatic counting and tallying, and much greater accuracy. The election data were combined by different websites and applications. In addition, it was interpreted using many recommendation algorithms such as Machine Learning Algorithms, Vector Representation Algorithms, Latent Factor Model Algorithms, and Neighbourhood Methods and shared with the election management bodies to provide appropriate recommendations. In this paper, we conduct a comparative study of the algorithms applied in the recommendations of Big Data architectures. The results show us that the K-NN model works best with an accuracy of 96%. In addition, we provided the best recommendation system is the hybrid recommendation combined by content-based filtering and collaborative filtering uses similarities between users and items.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2021, 15, 4; 65-75
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Solar-Powered Fertigation System Based on Low-Cost Wireless Sensor Network Remotely Controlled by Farmer for Irrigation Cycles and Crops Growth Optimization
    Autorzy:
    Visconti, P.
    de Fazio, R.
    Primiceri, P.
    Cafagna, D.
    Strazzella, S.
    Giannoccaro, N. I.
    Powiązania:
    https://bibliotekanauki.pl/articles/226649.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    precise farming
    fertigation system
    sensors
    solar-powered WSN
    data processing electronic boards
    IoT device
    Opis:
    Nowadays, the technological innovations affect all human activities; also the agriculture field heavily benefits of technologies as informatics, electronic, telecommunication, allowing huge improvements of productivity and resources exploitation. This manuscript presents an innovative low cost fertigation system for assisting the cultures by using dataprocessing electronic boards and wireless sensors network (WSN) connected to a remote software platform. The proposed system receives information related to air and soil parameters, by a custom solar-powered WSN. A control unit elaborates the acquired data by using dynamic agronomic models implemented on a cloud platform, for optimizing the amount and typology of fertilizers as well as the irrigations frequency, as function also of weather forecasts got by on-line weather service.
    Źródło:
    International Journal of Electronics and Telecommunications; 2020, 66, 1; 59-68
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fuzzy logic in decision support system as a simple Human/Internet of Things interface for shunt active power filter
    Autorzy:
    Jasiński, M.
    Majtczak, P.
    Malinowski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/201645.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    fuzzy logic
    decision support system
    shunt active power filter
    power quality
    smart grids
    smart industry
    harmonics compensation
    internet of things (IoT)
    internet of everything
    logika rozmyta
    system wspomagania decyzji
    filtr aktywny
    jakość energii
    inteligentne sieci
    smart przemysł
    kompensacja harmonicznych
    Internet Przedmiotów
    Internet Wszystkiego
    Opis:
    This paper introduces a fuzzy logic (FL) based decision support system (DSS) for a three-phase bidirectional AC-DC grid converter, working in a modern grid-like smart grid or smart industry. It is assumed that the appliances connected to that grid interact as in the Internet of Things (IoT) or like in the Internet of Everything (IoE) i.e. with a human being located in the chain of data flow. A power electronics AC-DC converter, operating as a shunt active power filter (SAPF) is selected for the case study. A harmonics reduction algorithm is presented as an implementation sample of the DSS. The operation of the SAPF is described and analysed. Experimental results showing the tuning process and operation of the laboratory model are also presented and discussed. Finally, it is shown that the DSS is an elegant and intuitive interface, which can simplify a human’s or machine’s decision-making process. Thanks to the DSS, the meaning of transferred data is translated into linguistic variables that can be understood by non-experts. Hence, it is expected that the amount of transferred data in the smart grid and in the IoE would be reduced. But in the same time, the high quality of the controlled process is retained, as shown by the example of a conventional SAPF.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2016, 64, 4; 877-886
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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