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    Wyświetlanie 1-4 z 4
    Tytuł:
    Radiological Dose and Risk Assessment for Selected Residential Regions in Baghdad City, Iraq
    Autorzy:
    Sabri, Areej Adnan
    Al-Tameemi, Nabeel Hashim Ameen
    Abdulwahid, Safaa Talib
    Mohammad, Abbas Neamah
    Powiązania:
    https://bibliotekanauki.pl/articles/1071454.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    137Cs
    232Th
    238U
    40K
    Baghdad
    Natural radioactivity
    RESRAD code
    radiological hazards
    radionuclides
    Opis:
    Fifty-one surface soil samples were collected from two selected residential areas in Baghdad city (Al-Adhamiya and Al-Sha’ab areas) and analyzed using gamma-ray spectroscopy system. The activity concentrations of 238U, 232Th, 40K and 137Cs for soil samples collected from Al-Adhamiya area ranged from 9.19 to 22.7 Bq/kg, 5.91 to 17.8 Bq/kg, 236.36 to 507.56 Bq/kg and below minimum detectable activity to 3.07 Bq/kg, respectively. For soil samples collected from Al-Sha’ab area, the activity concentrations of 238U, 232Th, 40K and 137Cs ranged from 9.21 to 24.51 Bq/kg, 6.41 to 16.81 Bq/kg, 246.32 to 402.78 Bq/kg and below minimum detectable activity to 4.8 Bq/kg, respectively. The RESRAD-Onsite code version 7.2 has been used to evaluate radiation dose and risk for the occupants of the areas of the study. The maximum total dose rates of 0.204 and 0.245 mSv/y were estimated for Al-Adhamiya and Al-Sha’ab areas, respectively. The total peak dose rates are about 5 times lower than the public radiation dose limit of 1 mSv/y. Based on the findings of the current study, it can be concluded that occupants in the investigated areas would not get any unacceptable radiological hazards due to radionuclides in soil.
    Źródło:
    World Scientific News; 2019, 122; 71-82
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Advanced helical gear reducer design optimization through nature inspired algorithms
    Autorzy:
    Ebenezer, N. Godwin Raja
    Saravanan, R.
    Ramabalan, S.
    Navaneethasanthakumar, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/1178368.pdf
    Data publikacji:
    2017
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    CS
    DIN Standards
    FA
    GA
    Helical gear reducer design
    MATLAB solvers fmincon
    Nature inspired Algorithms SA
    metaheuristics
    optimization
    Opis:
    In this paper a high power helical gear pair design optimization problem is solved. It is a multi variable, complex non linear problem with derived objective function and constraints. The objective is to minimize the volume of the gear. The design parameters considered are module, face width, number of teeth on drive and driven and helix angle. The various factors for sizing and strength of gear geometry parameters are based on German Institute for Standardization (DIN) Standards. Nature inspired algorithms, namely, Simulated Annealing (SA), Fire fly (FA) and Cuckoo Search (CS) and MATLAB solvers fmincon, GA are used. Simulation results are analysed and compared with literature.
    Źródło:
    World Scientific News; 2017, 77, 2; 267-280
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Worm Gear Drive optimization Considering Industry Constraints Based on Nature Inspired Algorithms
    Autorzy:
    Ebenezer, N. Godwin Raja
    Saravanan, R.
    Ramabalan, S.
    Navaneethasanthakumar, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/1179011.pdf
    Data publikacji:
    2017
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    CS
    FA
    Gear optimization
    Industry relevant constraints
    MATLAB solvers GA
    Nature inspired algorithms SA
    Worm gear drive
    fmincon
    Opis:
    This paper presents a novel method to obtain optimum design for a worm gear drive used in sugar industries taking into account certain constraints of industrial relevance. The objective of this research is to minimize volume of worm gear drive. Gear ratio, face width and pitch circle diameters of worm and worm wheel are considered as design variables. Industry relevant constraints viz. gear strength capacity, wear capacity, thermal capacity, dynamic load, self locking, and face width are considered. Besides this other constraints such as maximum power transmission capacity, centre distances, deflection of worm and beam strength of worm are also considered. Nature inspired optimization algorithms, namely, Simulated Annealing (SA), Firefly (FA), Cuckoo Search (CS) and MATLAB solvers fmincon and GA are used for solving this problem in MATLAB environment. Results of simulation are analysed and presented.
    Źródło:
    World Scientific News; 2017, 87; 205-221
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Comparative Study between CS-LBP/SVM and CS-LBP/PCA in Facial Expression Recognition
    Autorzy:
    Gaur, Sheena
    Powiązania:
    https://bibliotekanauki.pl/articles/1075570.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Center symmetric local binary patterns (CS-LBP)
    Facial Expression Analysis
    Principal Component Analysis 9PCA)
    Support Vector Machine (SVM)
    Opis:
    Face plays significant role in social communication. This is a 'window' to human personality, emotions and thoughts. Due to this, face is a subject of study in many areas of science such as psychology, behavioral science, medicine and computer science etc. In this paper, a comparative study is suggested between CS-LBP/SVM and CS-LBP/PCA. These algorithms are used in emotive facial expression recognition. Finally, a comparison is shown between PCA & SVM in terms of Dimension Reduction. The proposed system uses grayscale frontal face images of a Japanese female to classify six basic emotions namely happiness, sadness, disgust, fear, surprise and anger.
    Źródło:
    World Scientific News; 2019, 121; 83-89
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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