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    Wyświetlanie 1-9 z 9
    Tytuł:
    Zjawiska stresu i wypalenia zawodowego w opiece paliatywnej
    The phenomenon of job stress and burnout syndrome in palliative care
    Autorzy:
    Stelcer, Bogusław
    Bilski, Bartosz
    Powiązania:
    https://bibliotekanauki.pl/articles/2085424.pdf
    Data publikacji:
    2020-01-20
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    wypalenie zawodowe
    psychologia pracy
    personel medyczny
    opieka paliatywna
    cierpienie
    stres w pracy
    burnout syndrome
    occupational psychology
    medical staff
    palliative care
    suffering
    job stress
    Opis:
    W pracy przeanalizowano zjawisko wypalenia zawodowego, zwracając uwagę na perspektywy chorego, jego rodziny i pomagającego. Wskazano również praktyczne zasady efektywnej opieki nad umierającymi i ich rodzinami, prowadzonej tak, aby zespół terapeutyczny był wolny od zjawiska wypalenia zawodowego.
    This paper is focused on the analysis of the phenomenon of occupational burnout from the perspectives of the sick person, his/her family and the helper. Practical principles of effective care for dying people and their families were also indicated in order to make the therapeutic team free from the symptoms of occupational burnout.
    Źródło:
    Medycyna Pracy; 2020, 71, 1; 69-78
    0465-5893
    2353-1339
    Pojawia się w:
    Medycyna Pracy
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Energy Saving Chaotic Sequence Based Encryption, Authentication and Hashing for M2M Communication of IoT Devices
    Autorzy:
    Kościug, Bartosz
    Bilski, Piotr
    Powiązania:
    https://bibliotekanauki.pl/articles/27311876.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    Power optimization
    Security protocols
    machine to machine communications
    Application layer protocols
    IoT
    Opis:
    In this paper, the secure low-power Internet of Things (IoT) transmission methods for encryption and digital signature are presented. The main goal was to develop energyefficient method to provide IoT devices with data confidentiality, integrity, and authenticity. The cryptograph energy efficient and security algorithms modifications for IoT domain were made. The novelty in our solution is the usage of encryption method popular in the image processing in the domain of the Internet of Things. Proposed modification improves immunity for the brute-force and plain-text attacks. Furthermore, we propose the modifications for hash calculation method to transform it into digital signature calculation method that is very sensitive to input parameters. The results indicate low energy consumption of both methods, however it varies significantly depending on the architecture of the devices.
    Źródło:
    International Journal of Electronics and Telecommunications; 2023, 69, 2; 253--259
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Choroba symulatorowa i Simulator Sickness Questionnaire w polskiej praktyce. Badania kierowców zawodowych podlegających obowiązkowym kursom kwalifikacji wstępnej i okresowej
    Simulator sickness and the Simulator Sickness Questionnaire in Polish practice. A study involving professional drivers subject to compulsory initial and periodic qualification courses
    Autorzy:
    Cybulski, Marcin
    Rzeźniczek, Piotr
    Bilski, Bartosz
    Powiązania:
    https://bibliotekanauki.pl/articles/2085437.pdf
    Data publikacji:
    2020-01-20
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    symulator
    kierowcy
    choroba symulatorowa
    Kwestionariusz choroby symulatorowej
    SSQ
    szkolenie kierowców
    simulator
    drivers
    simulator sickness
    Simulator Sickness Questionnaire
    driver’s training
    Opis:
    WstępZjawisko choroby symulatorowej jest mierzalne pod względem objawów fizjologicznych. Artykuł prezentuje praktyczne wykorzystanie Kwestionariusza choroby symulatorowej (Simulator Sickness Questionnaire – SSQ) w badaniach poekspozycyjnych wraz z oceną samego narzędzia przez osoby badane.Materiał i metodyBadania przeprowadzono na symulatorze szkoleniowym pojazdów ciężarowych i autobusów AutoSim AS 1600. Przebadano 130 kierowców uczestniczących w kursach kwalifikacji wstępnej i okresowej dla kierowców w transporcie drogowym. Do badań wykorzystano kwestionariusz SSQ autorstwa Kennedy’ego i wsp. w polskim tłumaczeniu Biernackiego i wsp. (symptomy: mdłości, dezorientacji, zaburzeń okulomotorycznych i wynik ogólny) oraz ankietę oceniającą kwestionariusz SSQ (zrozumiałość i czasochłonność na skali 1–6).WynikiW grupie badanej (N = 130) stwierdzono istotne statystycznie różnice w wynikach SSQ. Wśród kierowców młodszych (<29,5 roku) zarejestrowano zwiększone nasilenie symptomów choroby symulatorowej po symulacji (objawy mdłości oraz wynik ogólny), u kierowców starszych (>29,5 roku) − objawów dezorientacji po symulacji. Długość snu i ocena jakości wykonania zadania były istotnie wyższe w grupach bezobjawowych. Wyniki wskazują również na pozytywny odbiór narzędzia przez osoby badane (N = 113) – oceniono czasochłonność jako niską (M = 2,44 na skali 1–6), a zrozumiałość jako wysoką (M = 5,62 na skali 1–6).WnioskiUzyskane wyniki wskazują na występowanie objawów choroby symulatorowej nawet w symulatorach wiernie odzwierciedlających ruch kabiny pojazdu. Oceny narzędzia przez osoby badane i poziom zaangażowania w pracę z kwestionariuszem wskazują na jego pozytywny odbiór.
    BackgroundA phenomenon of simulator sickness is measurable in terms of physiological symptoms. The article presents the practical use of the Simulator Sickness Questionnaire (SSQ) in post-exposure research, together with feedback given by the examined drivers.Material and MethodsThe study was conducted on the AutoSim AS 1600 simulator, and involved 130 drivers attending preliminary and periodic qualification courses in road transportation. The following tools were used throughout the research: the SSQ by Kennedy et al., translated into Polish by Biernacki et al. (with symptoms including nausea, oculomotor disturbances & disorientation symptoms, and the SSQ total), and a tool evaluating the SSQ (comprehensibility and time consumption on a 1–6 scale).ResultsIn the study group (N = 130), some statistically significant differences in the SSQ results were observed. Among younger drivers (<29.5 years old) an increased intensity of the simulator sickness symptoms after simulation was recorded (nausea and the SSQ total), and among older drivers (>29.5 years old) – the disorientation symptoms after simulation. The length of sleep and the quality assessment of the conducted task were higher in the asymptomatic groups. Also, the results indicate a positive reception of the tool by the examined individuals (N = 113), with time consumption marked as low (M = 2.44 on a 1–6 scale) and comprehensibility as high (M = 5.62 on a 1–6 scale).ConclusionsThe research indicates the occurrence of simulator sickness symptoms even in simulators, which accurately reflect vehicle movements. The feedback given by the examined individuals, together with the level of involvement in the SSQ use, indicates a positive reception of the tool.
    Źródło:
    Medycyna Pracy; 2020, 71, 1; 47-58
    0465-5893
    2353-1339
    Pojawia się w:
    Medycyna Pracy
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A novel fast feedforward neural networks training algorithm
    Autorzy:
    Bilski, Jarosław
    Kowalczyk, Bartosz
    Marjański, Andrzej
    Gandor, Michał
    Zurada, Jacek
    Powiązania:
    https://bibliotekanauki.pl/articles/2031099.pdf
    Data publikacji:
    2021
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    neural network training algorithm
    QR decomposition
    Givens rotations
    approximation
    classification
    Opis:
    In this paper1 a new neural networks training algorithm is presented. The algorithm originates from the Recursive Least Squares (RLS) method commonly used in adaptive filtering. It uses the QR decomposition in conjunction with the Givens rotations for solving a normal equation - resulting from minimization of the loss function. An important parameter in neural networks is training time. Many commonly used algorithms require a big number of iterations in order to achieve a satisfactory outcome while other algorithms are effective only for small neural networks. The proposed solution is characterized by a very short convergence time compared to the well-known backpropagation method and its variants. The paper contains a complete mathematical derivation of the proposed algorithm. There are presented extensive simulation results using various benchmarks including function approximation, classification, encoder, and parity problems. Obtained results show the advantages of the featured algorithm which outperforms commonly used recent state-of-the-art neural networks training algorithms, including the Adam optimizer and the Nesterov’s accelerated gradient.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 4; 287-306
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fast computational approach to the Levenberg-Marquardt algorithm for training feedforward neural networks
    Autorzy:
    Bilski, Jarosław
    Smoląg, Jacek
    Kowalczyk, Bartosz
    Grzanek, Konrad
    Izonin, Ivan
    Powiązania:
    https://bibliotekanauki.pl/articles/2201329.pdf
    Data publikacji:
    2023
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    feed-forward neural network
    neural network learning algorithm
    Levenberg-Marquardt algorithm
    QR decomposition
    Givens rotation
    Opis:
    This paper presents a parallel approach to the Levenberg-Marquardt algorithm (LM). The use of the Levenberg-Marquardt algorithm to train neural networks is associated with significant computational complexity, and thus computation time. As a result, when the neural network has a big number of weights, the algorithm becomes practically ineffective. This article presents a new parallel approach to the computations in Levenberg-Marquardt neural network learning algorithm. The proposed solution is based on vector instructions to effectively reduce the high computational time of this algorithm. The new approach was tested on several examples involving the problems of classification and function approximation, and next it was compared with a classical computational method. The article presents in detail the idea of parallel neural network computations and shows the obtained acceleration for different problems.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2023, 13, 2; 45--61
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Local Levenberg-Marquardt algorithm for learning feedforwad neural networks
    Autorzy:
    Bilski, Jarosław
    Kowalczyk, Bartosz
    Marchlewska, Alina
    Zurada, Jacek M.
    Powiązania:
    https://bibliotekanauki.pl/articles/1837415.pdf
    Data publikacji:
    2020
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    feed-forward neural network
    neural network learning algorithm
    optimization problem
    Levenberg-Marquardt algorithm
    QR decomposition
    Givens rotation
    Opis:
    This paper presents a local modification of the Levenberg-Marquardt algorithm (LM). First, the mathematical basics of the classic LM method are shown. The classic LM algorithm is very efficient for learning small neural networks. For bigger neural networks, whose computational complexity grows significantly, it makes this method practically inefficient. In order to overcome this limitation, local modification of the LM is introduced in this paper. The main goal of this paper is to develop a more complexity efficient modification of the LM method by using a local computation. The introduced modification has been tested on the following benchmarks: the function approximation and classification problems. The obtained results have been compared to the classic LM method performance. The paper shows that the local modification of the LM method significantly improves the algorithm’s performance for bigger networks. Several possible proposals for future works are suggested.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2020, 10, 4; 299-316
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Towards a very fast feedforward multilayer neural networks training algorithm
    Autorzy:
    Bilski, Jarosław
    Kowalczyk, Bartosz
    Kisiel-Dorohinicki, Marek
    Siwocha, Agnieszka
    Żurada, Jacek
    Powiązania:
    https://bibliotekanauki.pl/articles/2147135.pdf
    Data publikacji:
    2022
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    neural network training algorithm
    QR decomposition
    scaled Givens rotation
    approximation
    classification
    Opis:
    This paper presents a novel fast algorithm for feedforward neural networks training. It is based on the Recursive Least Squares (RLS) method commonly used for designing adaptive filters. Besides, it utilizes two techniques of linear algebra, namely the orthogonal transformation method, called the Givens Rotations (GR), and the QR decomposition, creating the GQR (symbolically we write GR + QR = GQR) procedure for solving the normal equations in the weight update process. In this paper, a novel approach to the GQR algorithm is presented. The main idea revolves around reducing the computational cost of a single rotation by eliminating the square root calculation and reducing the number of multiplications. The proposed modification is based on the scaled version of the Givens rotations, denoted as SGQR. This modification is expected to bring a significant training time reduction comparing to the classic GQR algorithm. The paper begins with the introduction and the classic Givens rotation description. Then, the scaled rotation and its usage in the QR decomposition is discussed. The main section of the article presents the neural network training algorithm which utilizes scaled Givens rotations and QR decomposition in the weight update process. Next, the experiment results of the proposed algorithm are presented and discussed. The experiment utilizes several benchmarks combined with neural networks of various topologies. It is shown that the proposed algorithm outperforms several other commonly used methods, including well known Adam optimizer.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2022, 12, 3; 181--195
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Audible and infrasonic noise levels in the cabins of modern agricultural tractors — Does the risk of adverse, exposure-dependent effects still exist?
    Autorzy:
    Bilski, Bartosz
    Powiązania:
    https://bibliotekanauki.pl/articles/2179154.pdf
    Data publikacji:
    2013-06-01
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    tractors
    operators
    noise
    infrasound
    Opis:
    Introduction: The agricultural tractor is one of the most commonly used vehicles on farms and one of the most prominent sources of noise. This article presents an exemplary assessment of the audible and infrasonic noise levels in the cabins of selected modern wheeled agricultural tractors. Materials and Methods: Operator-perceived audible and infrasonic noise levels in the cabins were examined for 20 types of modern tractors during typical conditions of work. The tractors had been in use for no longer than 3 years, with rated power between 96 kW and 227 kW, designed and produced by world-renowned companies. Noise level measurements were performed in accordance with PN-EN ISO 9612:2011 (ISO 9612:2009). Results: Audible noise levels (A-weighted) ranged from 62.1 to 87.4 dB-A (average: 68.2 to 83.8 dB-A) for different work tasks. The factors influencing noise levels include performed tasks, soil, weather conditions and the skills of individual drivers. In spectrum analysis, the highest noise levels occurred at frequencies 250 Hz, 1 and 2 kHz. Infrasound noise levels (G-weighted) ranged from 87.3 to 111.3 dB-G. The driver-experienced exposure to infrasound was found to increase significantly when the vehicle was in motion. Conclusions: Average audible noise levels have no potential to adversely affect the hearing organ during tasks performed inside the closed cabins of the analysed modern agricultural tractors. Due to the relatively low audible noise levels inside the cabins of modern agricultural tractors, non-auditory effects are the only adverse symptoms that can develop. Modern agricultural tractors emit considerable infrasonic noise levels. All tractors introduced into the market should be subjected to tests with regard to infrasonic noise levels.
    Źródło:
    International Journal of Occupational Medicine and Environmental Health; 2013, 26, 3; 488-493
    1232-1087
    1896-494X
    Pojawia się w:
    International Journal of Occupational Medicine and Environmental Health
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Exposure to infrasonic noise in agriculture
    Autorzy:
    Bilski, Bartosz
    Powiązania:
    https://bibliotekanauki.pl/articles/988973.pdf
    Data publikacji:
    2017
    Wydawca:
    Instytut Medycyny Wsi
    Tematy:
    infrasound
    infrasonic noise
    tractors
    combined-harvesters
    work hygiene
    occupational exposure
    agriculture
    Opis:
    Introduction and objectives. Although exposure to audible noise has been examined in many publications, the sources of infrasound in agriculture have not been fully examined and presented. The study presents the assessment of exposure to infrasound from many sources at workplaces in agriculture with examples of possible ergonomic and health consequences caused by such exposure. Materials and method. Workers’-perceived infrasonic noise levels were examined for 118 examples of moving and stationary agricultural machines (modern and old cab-type tractors, old tractors without cabins, small tractors, grinders, chargers, forage mixers, grain cleaners, conveyors, bark sorters and combine-harvesters). Measurements of infrasound were taken with the use of class 1 instruments (digital sound analyzer DSA-50 digital and acoustic calibrator). Noise level measurement swere performed in accordance with PN-Z-01338:2010, PN-EN ISO 9612:2011 and ISO 9612:2009. Results and conclusions. The most intense sources of infrasound in the study were modern and old large size types agricultural machinery (tractors, chargers and combined-harvesters, and stationary forage mixers with ventilation). The G-weighted infrasound levels were significant and at many analyzed workplaces stayed within or exceeded the occupational exposure limit (LG eq, 8h = 102 dB) when the duration of exposure is longer than 22 min./8-hours working day (most noisy – modern cab-type tractors), 46 min./8 hours working day (most noisy – old type cab-tractors), 73 min./8 hours working day (most noisy – old tractors without cabins), 86 min./8-hours working day (most noisy – combine-harvesters) and 156 min./8 hours working day (most noisy – stationary forage mixers with ventilation). All measured machines generated infrasonic noise exceeded the value LG eq, Te = 86 dB (occupational exposure limit for workplaces requiring maintained mental concentration). A very important harmful factor is infrasound exposure for pregnant women and adolescents at workplaces in agriculture. Very valuable work can be technical limiting exposure to infrasound from new and used agricultural machinery. The technical limitation of infrasound caused by both old and new agricultural machinery can be invaluable from the work point of view.
    Źródło:
    Annals of Agricultural and Environmental Medicine; 2017, 24, 1
    1232-1966
    Pojawia się w:
    Annals of Agricultural and Environmental Medicine
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-9 z 9

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