Wyniki wyszukiwania dla: SURVEILLANCE SYSTEMS - MOST Wiedzy

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Wyniki wyszukiwania dla: SURVEILLANCE SYSTEMS

Wyniki wyszukiwania dla: SURVEILLANCE SYSTEMS

  • Analysis of Video Transmission Capabilities in a Simulated OFDM-Based Supplementary BPL-PLC System

    Publikacja

    - ENERGIES - Rok 2022

    The design and maintenance of a reliable communication system, especially in harsh working conditions for the oil and mining industry, brings many challenges. With the use of a video transmission system, one can monitor the crew and their working environment. Broadband over power line–power line communication (BPL-PLC) seems an ideal medium for such a service, since it enables the use of the existing wired infrastructure for supplementary...

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  • The Application of a Mobile Unmanned Device for Monitoring Water and Sediment Pollution in the Port of Gdynia

    Publikacja

    - Water - Rok 2024

    Pollution in the Port of Gdynia can encompass various types of substances and contaminants that affect the quality of water and sediment in this region. Ships entering and leaving the port can release pollutants such as oil, fuel, waste, and chemicals into the water. Controlling and monitoring these pollutants is a crucial part of environmental stewardship. In recent years, uncrewed units have been increasingly in use for in situ...

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  • Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm

    Publikacja
    • K. Thiagarajan
    • M. Manapakkam Anandan
    • A. Stateczny
    • P. Bidare Divakarachari
    • H. Kivudujogappa Lingappa

    - Remote Sensing - Rok 2021

    Satellite image classification is widely used in various real-time applications, such as the military, geospatial surveys, surveillance and environmental monitoring. Therefore, the effective classification of satellite images is required to improve classification accuracy. In this paper, the combination of Hierarchical Framework and Ensemble Learning (HFEL) and optimal feature selection is proposed for the precise identification...

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  • Buzz-based honeybee colony fingerprint

    Non-intrusive remote monitoring has its applications in a variety of areas. For industrial surveillance case, devices are capable of detecting anomalies that may threaten machine operation. Similarly, agricultural monitoring devices are used to supervise livestock or provide higher yields. Modern IoT devices are often coupled with Machine Learning models, which provide valuable insights into device operation. However, the data...

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  • Exploring the Role of Social Media Use Motives, Psychological Well-Being, Self-Esteem, and Affect in Problematic Social Media Use

    Publikacja

    - Frontiers in Psychology - Rok 2020

    Given recent advances in technology, connectivity, and the popularity of social media platforms, recent literature has devoted great attention to problematic Facebook use. However, exploring the potential predictors of problematic social media use beyond Facebook use has become paramount given the increasing popularity of multiple alternative platforms. In this study, a sample of 584 social media users (Mage = 32.28 years; 67.81%...

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  • Quality Analysis of Audio-Video Transmission in an OFDM-Based Communication System

    Publikacja

    - Rok 2022

    Application of a reliable audio-video communication system, brings many advantages. With the spoken word we can exchange ideas, provide descriptive information, as well as aid to another person. With the availability of visual information one can monitor the surrounding, working environment, etc. As the amount of available bandwidth continues to shrink, researchers focus on novel types of transmission. Currently, orthogonal frequency...

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  • Genetic programming extension to APF-based monocular human body pose estimation

    New method of the human body pose estimation based on a single camera 2D observation is presented, aimed at smart surveillance related video analysis and action recognition. It employs 3D model of the human body, and genetic algorithm combined with annealed particle filter for searching the global optimum of model state, best matching the object's 2D observation. Additionally, new motion cost metric is employed, considering current...

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  • Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis

    Publikacja

    Renal cell carcinoma is one of the most common cancers in Europe, with a total incidence rate of 18.4 cases per 100 000 population. There is currently significant overdiagnosis (11% to 30.9%) at times of planned surgery based on radiological studies. The purpose of this study was to create an artificial neural network (ANN) solution based on computed tomography (CT) images as an additional tool to improve the differentiation of...

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  • Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function

    Publikacja
    • S. N. Shivappriya
    • M. J. P. Priyadarsini
    • A. Stateczny
    • C. Puttamadappa
    • B. D. Parameshachari

    - Remote Sensing - Rok 2021

    Object detection is an important process in surveillance system to locate objects and it is considered as major application in computer vision. The Convolution Neural Network (CNN) based models have been developed by many researchers for object detection to achieve higher performance. However, existing models have some limitations such as overfitting problem and lower efficiency in small object detection. Object detection in remote...

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  • Dietary behaviour and physical activity policies in Europe: learnings from the Policy Evaluation Network (PEN)

    Publikacja
    • W. Ahrens
    • H. Brenner
    • M. Flechtner-Mors
    • J. M. Harrington
    • A. Hebestreit
    • C. B. Kamphuis
    • L. Kelly
    • M. Laxy
    • A. Luszczynska
    • M. Mazzocchi... i 10 innych

    - EUROPEAN JOURNAL OF PUBLIC HEALTH - Rok 2022

    The European Policy Evaluation Network (PEN), initiated in autumn 2018, aimed at advancing the evidence base for public policies impacting dietary behaviour, physical activity and sedentary behaviours in Europe. This is needed because non-communicable diseases—the leading cause of global mortality—are substantially caused by physical inactivity and unhealthy dietary behaviours, which in turn are driven by upstream factors that...

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  • Genotyping Techniques for Determining the Diversity of Microorganisms

    Publikacja

    - Rok 2012

    Typing of microbial pathogens, or identifying bacteria at the strain level, is particularly important for diagnosis, treatment, and epidemiological surveillance of bacterial infections. This is especially the case for bacteria exhibiting high levels of antibiotic resistance or virulence, and those involved in nosocomial or pandemic infections. Strain typing also has applications in studying bacterial population dynamics. The part...

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  • The evidence for the impact of policy on physical activity outcomes within the school setting: A systematic review

    Publikacja
    • C. Woods
    • K. Volf
    • L. Kelly
    • B. Casey
    • P. Gelius
    • S. Messing
    • S. Forberger
    • J. Lakerveld
    • J. Żukowska
    • E. G. Bengoechea

    - Journal of Sport and Health Science - Rok 2021

    Purpose Despite the well-established health benefits of physical activity (PA) for young people (aged 4–19 years), most do not meet PA guidelines. Policies that support PA in schools may be promising, but their impact on PA behavior is poorly understood. The aim of this systematic review is to ascertain the level and type of evidence reported in the international scientific literature for policies within the school setting that...

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  • Advancing the evidence base for public policies impacting on dietary behaviour, physical activity and sedentary behaviour in Europe: The Policy Evaluation Network promoting a multidisciplinary approach

    Publikacja
    • J. Lakerveld
    • C. Woods
    • A. Hebestreit
    • H. Brenner
    • M. Flechtner-Mors
    • J. M. Harrington
    • C. B. Kamphuis
    • M. Laxy
    • A. Luszczynska
    • M. Mazzocchi... i 10 innych

    - FOOD POLICY - Rok 2020

    Non-communicable diseases (NCDs) are the leading cause of global mortality. As the social and economic costs of NCDs have escalated, action is needed to tackle important causes of many NCD’s: low physical activity levels and unhealthy dietary behaviours. As these behaviours are driven by upstream factors, successful policy interventions are required that encourage healthy dietary behaviours, improve physical activity levels and...

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  • Andrzej Czyżewski prof. dr hab. inż.

    Prof. zw. dr hab. inż. Andrzej Czyżewski jest absolwentem Wydziału Elektroniki PG (studia magisterskie ukończył w 1982 r.). Pracę doktorską na temat związany z dźwiękiem cyfrowym obronił z wyróżnieniem na Wydziale Elektroniki PG w roku 1987. W 1992 r. przedstawił rozprawę habilitacyjną pt.: „Cyfrowe operacje na sygnałach fonicznych”. Jego kolokwium habilitacyjne zostało przyjęte jednomyślnie w czerwcu 1992 r. w Akademii Górniczo-Hutniczej...

  • Krzysztof Jan Kaliński prof. dr hab. inż.

    Ukończył studia magisterskie na Wydziale Mechanicznym Technologicznym (MT) PG (1980, dyplom z wyróżnieniem). Stopień doktora otrzymał na Wydziale Budowy Maszyn PG (1988, praca wyróżniona), stopień doktora habilitowanego na Wydziale Mechanicznym (WM) PG (2002, praca wyróżniona), a tytuł profesora nauk technicznych – w 2013 r. Od 2015 r. jest profesorem zwyczajnym, a od 2019 r. - profesorem. Obszar jego badań naukowych obejmuje:...

  • Józef Kotus dr hab. inż.