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    Wyświetlanie 1-9 z 9
    Tytuł:
    Virtual reality environments for soundscape research
    Autorzy:
    Heimes, Anne
    Yang, Ming
    Vorländer, Michael
    Powiązania:
    https://bibliotekanauki.pl/articles/2146664.pdf
    Data publikacji:
    2022
    Wydawca:
    Politechnika Poznańska. Instytut Mechaniki Stosowanej
    Tematy:
    virtual reality
    soundscape
    soundscape recording
    auralization
    rzeczywistość wirtualna
    krajobraz dźwiękowy
    nagrywanie krajobrazu dźwiękowego
    auralizacja
    Opis:
    Soundscape research demands a holistic approach for the analysis of environments, yet any research method, e.g. soundwalk or lab-based listening test, has its advantages and limitations. The virtual reality (VR) and augmented reality (AR) technology provides an alternative method for soundscape research, which may retain as much context as possible while enabling control conditions. The current phase of this research project focuses on the ecological validity of virtual reality environment for soundscape, by creating virtual environments for comparison of human experiences and responses in a real soundscape and three-dimensional virtual ones. The workflow of scene rendering on different levels of detail is described. The results are made publicly available.
    Źródło:
    Vibrations in Physical Systems; 2022, 33, 1; art. no. 2022112
    0860-6897
    Pojawia się w:
    Vibrations in Physical Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Dynamic tilt testing of MEMS inclinometers based on conical motions
    Autorzy:
    Yang, Qihang
    Cai, Chenguang
    Yang, Ming
    Kong, Ming
    Liu, Zhihua
    Liang, Feng
    Powiązania:
    https://bibliotekanauki.pl/articles/2203364.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    MEMS inclinometer
    sensitivity
    dynamic testing
    conical motion
    angle drift
    Opis:
    The MEMS inclinometer integrates a tri-axis accelerometer and a tri-axis gyroscope to solve the perceived dynamic inclinations through a complex data fusion algorithm, which has been widely used in the fields of industrial, aerospace, and monitoring. In order to ensure the validity of the measurement results of MEMS inclinometers, it is necessary to determine their dynamic performance parameters. This study proposes a conical motion-based MEMS inclinometer dynamic testing method, and the motion includes the classical conical motion, the attitude conical motion, and the dual-frequency conical motion. Both the frequency response and drift angle of MEMS inclinometers can be determined. Experimental results show that the conical motions can accelerate the angle drift of MEMS inclinometers, which makes them suitable for dynamic testing of MEMS inclinometers. Additionally, the tilt sensitivity deviation of the MEMS inclinometer by the proposed method and the turntable-based method is less than 0.26 dB. We further provide the research for angle drift and provide discussion.
    Źródło:
    Metrology and Measurement Systems; 2023, 30, 1; 31--47
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction of Kaplan turbine coordination tests based on least squares support vector machine with an improved grey wolf optimization algorithm
    Autorzy:
    Kong, Fannie
    Xia, Jiahui
    Yang, Daliang
    Luo, Ming
    Powiązania:
    https://bibliotekanauki.pl/articles/2173627.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Kaplan turbine
    coordination tests
    least squares support vector machine
    improved grey wolf optimization
    turbina Kaplana
    test koordynacyjny
    metoda najmniejszych kwadratów
    ulepszona optymalizacja szarego wilka
    Opis:
    The optimum combination of blade angle of the runner and guide vane opening with Kaplan turbine can improve the hydroelectric generating the set operation efficiency and the suppression capability of oscillations. Due to time and cost limitations and the complex operation mechanism of the Kaplan turbine, the coordination test data is insufficient, making it challenging to obtain the whole curves at each head under the optimum coordination operation by field tests. The field test data is employed to propose a least-squares support vector machine (LSSVM)-based prediction model for Kaplan turbine coordination tests. Considering the small sample characteristics of the test data of Kaplan turbine coordination, the LSSVM parameters are optimized by an improved grey wolf optimization (IGWO) algorithm with mixed non-linear factors and static weights. The grey wolf optimization (GWO) algorithm has some deficiencies, such as the linear convergence factor, which inaccurately simulates the actual situation, and updating the position indeterminately reflects the absolute leadership of the leader wolf. The IGWO algorithm is employed to overcome the aforementioned problems. The prediction model is simulated to verify the effectiveness of the proposed IGWO-LSSVM. The results show high accuracy with small samples, a 2.59% relative error in coordination tests, and less than 1.85% relative error in non-coordination tests under different heads.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; art. no. e137124
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction of Kaplan turbine coordination tests based on least squares support vector machine with an improved grey wolf optimization algorithm
    Autorzy:
    Kong, Fannie
    Xia, Jiahui
    Yang, Daliang
    Luo, Ming
    Powiązania:
    https://bibliotekanauki.pl/articles/2128160.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Kaplan turbine
    coordination tests
    least squares support vector machine
    improved grey wolf optimization
    turbina Kaplana
    test koordynacyjny
    metoda najmniejszych kwadratów
    ulepszona optymalizacja szarego wilka
    Opis:
    The optimum combination of blade angle of the runner and guide vane opening with Kaplan turbine can improve the hydroelectric generating the set operation efficiency and the suppression capability of oscillations. Due to time and cost limitations and the complex operation mechanism of the Kaplan turbine, the coordination test data is insufficient, making it challenging to obtain the whole curves at each head under the optimum coordination operation by field tests. The field test data is employed to propose a least-squares support vector machine (LSSVM)-based prediction model for Kaplan turbine coordination tests. Considering the small sample characteristics of the test data of Kaplan turbine coordination, the LSSVM parameters are optimized by an improved grey wolf optimization (IGWO) algorithm with mixed non-linear factors and static weights. The grey wolf optimization (GWO) algorithm has some deficiencies, such as the linear convergence factor, which inaccurately simulates the actual situation, and updating the position indeterminately reflects the absolute leadership of the leader wolf. The IGWO algorithm is employed to overcome the aforementioned problems. The prediction model is simulated to verify the effectiveness of the proposed IGWO-LSSVM. The results show high accuracy with small samples, a 2.59% relative error in coordination tests, and less than 1.85% relative error in non-coordination tests under different heads.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 3; e137124, 1--9
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Validation of School Core Competence Scale for Undergraduates: Empirical Findings of Taiwan Case
    Autorzy:
    Wu, Shwu Ming
    Yang, Cheng Hong
    Hsu, Wan Chen
    Powiązania:
    https://bibliotekanauki.pl/articles/2031728.pdf
    Data publikacji:
    2014-09-30
    Wydawca:
    Wydawnictwo Adam Marszałek
    Tematy:
    School Core Competence Scale
    validation studies
    Taiwanese undergraduates
    Opis:
    This study aimed to validate the 25-item School Core Competence Scale (SCCS) of the National Kaohsiung University of Applied Sciences. Item analysis and exploratory factor analysis were utilized with 368 undergraduates and confirmatory factor analysis with another 384 undergraduates. The SCSS had eight subscales, including Communication and Expression, International Perspective, Humanity, Civics and Morals, Professional Knowledge and Skills, Integrative Learning, Passion and Anti-stress, and Self-discipline. Results indicated that the SCCS is a valid and reliable instrument among undergraduates. Particularly, women scored higher on Communication and Expression, Civics and Morals, Self-discipline as well as the total scale.
    Źródło:
    The New Educational Review; 2014, 37; 95-105
    1732-6729
    Pojawia się w:
    The New Educational Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluation of occupation hot exposure in industrial workplaces in a subtropical country
    Autorzy:
    Yang, Yu-Chiao
    Wei, Ming-Chi
    Hong, Show-Jen
    Powiązania:
    https://bibliotekanauki.pl/articles/2161875.pdf
    Data publikacji:
    2017-05-08
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    skin temperature
    heart rate
    heat stress
    wet bulb globe temperature
    maximum allowable exposure time
    metabolic rate
    Opis:
    Objectives The objective of this study has been to evaluate the occupational heat exposure of 12 workers at 5 plants in a subtropical country. Material and Methods The heat stresses and strain on workers in 5 plants were assessed by the International Organization for Standardization (ISO) 7243 index (wet bulb globe temperature – WBGT) and the ISO 7933 index (maximum allowable exposure time – $ \text{D}_\text{lim} $). Results Results indicated that 42% of the subjects (5 workers) surpassed the WBGT limits. According to the $ \text{D}_\text{lim} $, 42% of the subjects could not continue working in the hot environments. The relationships between the various heat stress indices and the WBGT index were also correlated. However, further studies from different heat environments and more subjects should be performed. Conclusions The sensitive dependence of skin temperature on meteorological and physiological indices for each subject was clearly observed. Obviously, the heart rate response to metabolic rate was much greater than that caused by environmental heat alone. The exponential relationship between workers’ duration-limited exposure time, predicted by various estimated criteria, and WBGT were also found. Int J Occup Med Environ Health 2017;30(3):379–395
    Źródło:
    International Journal of Occupational Medicine and Environmental Health; 2017, 30, 3; 379-395
    1232-1087
    1896-494X
    Pojawia się w:
    International Journal of Occupational Medicine and Environmental Health
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Prediction of PM2.5 hourly concentrations in Beijing based on machine learning algorithm and ground-based LiDAR
    Autorzy:
    Fang, Zhiyuan
    Yang, Hao
    Li, Cheng
    Cheng, Liangliang
    Zhao, Ming
    Xie, Chenbo
    Powiązania:
    https://bibliotekanauki.pl/articles/2073773.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    PM2.5
    LiDAR
    machine learning
    air pollution monitoring
    Opis:
    The prediction of PM2.5 is important for environmental forecasting and air pollution control. In this study, four machine learning methods, ground-based LiDAR data and meteorological data were used to predict the ground-level PM2.5 concentrations in Beijing. Among the four methods, the random forest (RF) method was the most effective in predicting ground-level PM2.5 concentrations. Compared with BP neural network, support vector machine (SVM), and various linear fitting methods, the accuracy of the RF method was superior by 10%. The method can describe the spatial and temporal variation in PM2.5 concentrations under different meteorological conditions, with low root mean square error (RMSE) and mean square deviation (MD), and the consistency index (IA) reached 99.69%. Under different weather conditions, the hourly variation in PM2.5 concentrations has a good descriptive ability. In this paper, we analyzed the weights of input variables in the RF method, constructed a pollution case to correspond to the relationship between input variables and PM2.5, and analyzed the sources of pollutants via HYSPLIT backward trajectory. This method can study the interaction between PM2.5 and air pollution variables, and provide new ideas for preventing and forecasting air pollution.
    Źródło:
    Archives of Environmental Protection; 2021, 47, 3; 98--107
    2083-4772
    2083-4810
    Pojawia się w:
    Archives of Environmental Protection
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Understanding the difficult selective separation characteristics of high-ash fine coal
    Autorzy:
    Yang, Zili
    Liu, Min
    Chang, Guohui
    Xia, Yangchao
    Li, Ming
    Xing, Yaowen
    Gui, Xiahui
    Powiązania:
    https://bibliotekanauki.pl/articles/1845210.pdf
    Data publikacji:
    2020
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    high-ash fine coal
    flotation
    rod grinding
    floatability
    slime coating
    Opis:
    As the supply of high-quality coals decreases and mechanical coal mining becomes more widespread, the high selective recovery of high-ash fine coal has become a prominent problem in the flotation process. Herein, we discuss the main reasons why the selective separation of high-ash fine coal is difficult. The analysis of high-ash fine coal properties shows that coarse particles (0.25-0.5 mm) account for 22.53% of the total size fraction and that 57.90% of the coal is moderate- or high-density (+1.4 g/cm3) intergrowth. Grinding experiments show that the traditional rod mill has little impact on the liberation of the intergrowth. Instead, its main function is to adjust the particle size composition to ensure that the particle sizes of high-ash fine coal are within the particle size range suitable for flotation. The flotation results show that a clean coal yield of 30.42%, with a 12.46% ash content, is obtained with the optimal flotation parameters through the roughing and cleaning flotation process. However, the flotation results also show that in the separation of high-ash fine coal, it is difficult to obtain clean coal with a high yield and low ash content at the same time. This is mainly due to the similar floatability of moderate-density and low-density coal particles, which allows a large number of moderate-density coal particles to be recovered, and a significant slime coating of clay on the coal’s surface that is generated during the flotation process. The results of this work provide valuable guidance for high-ash fine coal industrial flotation applications.
    Źródło:
    Physicochemical Problems of Mineral Processing; 2020, 56, 5; 874-883
    1643-1049
    2084-4735
    Pojawia się w:
    Physicochemical Problems of Mineral Processing
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Experimental Insight into the Catalytic Mechanism of MFe2O4 (M = Ni, Zn and Co) on the Thermal Decomposition of TKX-50
    Autorzy:
    Hou, Xiaoting
    Zhang, Ming
    Zhao, Fengqi
    Yang, Yanjing
    An, Ting
    Li, Hui
    Pan, Qing
    Wang, Xiaohong
    Zhang, Kun
    Powiązania:
    https://bibliotekanauki.pl/articles/27788010.pdf
    Data publikacji:
    2021
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Przemysłu Organicznego
    Tematy:
    bimetallic iron oxide
    thermal decomposition
    TKX-50
    catalysis
    mechanism
    Opis:
    Synthesized dihydroxylammonium 5,5’-bistetrazole-1,1’-diolate (TKX-50) owes its outstanding application prospects in the field of insensitive solid propellants not only to its high energetic performance but also to its low mechanical sensitivity. Based on the excellent catalytic activity of bimetallic iron oxides for the thermal decomposition of TKX-50, the catalytic mechanism of bimetallic iron oxides (NiFe2O4, ZnFe2O4 and CoFe2O4) for TKX-50 pyrolysis has been explored. For this study, the decomposition process of TKX-50, before and after mixing with the bimetallic iron oxides NiFe2O4, ZnFe2O4 and CoFe2O4 was monitored by in-situ FTIR and gas-phase MS-FTIR instruments. Of the different catalysts, ZnFe2O4 gave the best result for reducing the initial decomposition temperature of TKX-50. Additionally, the activation energy of functional group cleavage of TKX-50, before and after mixing with ZnFe2O4, was also calculated for mechanism analysis from the results of the in-situ FTIR measurements. The results showed that the condensate and the gas-phase decomposition products of TKX-50 remained unchanged after mixing with different catalysts, while the activation energy of tetrazole ring cleavage was significantly reduced. The results of this study will be helpful for the rational design of insensitive solid propellant formulations containing TKX-50, and for understanding the pyrolysis mechanisms of TKX-50 before and after mixing with the efficient catalyst ZnFe2O4.
    Źródło:
    Central European Journal of Energetic Materials; 2021, 18, 2; 223--244
    1733-7178
    Pojawia się w:
    Central European Journal of Energetic Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-9 z 9

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