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  Subjects -> HUMANITIES (Total: 880 journals)
    - ASIAN STUDIES (157 journals)
    - CLASSICAL STUDIES (110 journals)
    - DEMOGRAPHY AND POPULATION STUDIES (144 journals)
    - ETHNIC INTERESTS (155 journals)
    - GENEALOGY AND HERALDRY (7 journals)
    - HUMANITIES (279 journals)
    - NATIVE AMERICAN STUDIES (28 journals)

HUMANITIES (279 journals)                  1 2     

Showing 1 - 71 of 71 Journals sorted alphabetically
Aboriginal and Islander Health Worker Journal     Full-text available via subscription   (Followers: 14)
Aboriginal Child at School     Full-text available via subscription   (Followers: 5)
About Performance     Full-text available via subscription   (Followers: 12)
Access     Full-text available via subscription   (Followers: 26)
ACCESS: Critical Perspectives on Communication, Cultural & Policy Studies     Full-text available via subscription   (Followers: 10)
Acta Academica     Full-text available via subscription   (Followers: 5)
Acta Universitaria     Open Access   (Followers: 4)
Adeptus     Open Access   (Followers: 1)
Advocate: Newsletter of the National Tertiary Education Union     Full-text available via subscription   (Followers: 1)
African and Black Diaspora: An International Journal     Hybrid Journal   (Followers: 11)
African Historical Review     Hybrid Journal   (Followers: 17)
AFRREV IJAH : An International Journal of Arts and Humanities     Open Access   (Followers: 2)
Agriculture and Human Values     Hybrid Journal   (Followers: 13)
Akademika : Journal of Southeast Asia Social Sciences and Humanities     Open Access   (Followers: 5)
Aldébaran     Open Access   (Followers: 3)
Alterstice : Revue internationale de la recherche interculturelle     Open Access  
Altre Modernità     Open Access   (Followers: 3)
Amaltea. Revista de mitocrítica     Open Access   (Followers: 1)
American Imago     Full-text available via subscription   (Followers: 3)
American Journal of Humanities and Social Sciences     Open Access   (Followers: 10)
American Review of Canadian Studies     Hybrid Journal   (Followers: 7)
Anabases     Open Access  
Analyse & Kritik. Zeitschrift f     Full-text available via subscription   (Followers: 1)
Angelaki: Journal of Theoretical Humanities     Hybrid Journal   (Followers: 17)
Antik Tanulmányok     Full-text available via subscription  
Antipode     Hybrid Journal   (Followers: 49)
Anuario Americanista Europeo     Open Access  
Arbutus Review     Open Access  
Argumentation et analyse du discours     Open Access   (Followers: 6)
Ars & Humanitas     Open Access   (Followers: 9)
Arts and Humanities in Higher Education     Hybrid Journal   (Followers: 34)
Asia Europe Journal     Hybrid Journal   (Followers: 5)
Australasian Journal of Popular Culture, The     Hybrid Journal   (Followers: 2)
Behaviour & Information Technology     Hybrid Journal   (Followers: 52)
Behemoth     Open Access   (Followers: 3)
Bereavement Care     Hybrid Journal   (Followers: 11)
Cahiers de praxématique     Open Access   (Followers: 1)
Carl Beck Papers in Russian and East European Studies     Full-text available via subscription   (Followers: 5)
Child Care     Full-text available via subscription   (Followers: 8)
Choreographic Practices     Hybrid Journal   (Followers: 1)
Chronicle of Philanthropy     Full-text available via subscription   (Followers: 2)
Ciencias Sociales y Humanidades     Open Access   (Followers: 1)
Claroscuro     Open Access   (Followers: 1)
Co-herencia     Open Access  
Coaching: An International Journal of Theory, Research and Practice     Hybrid Journal   (Followers: 9)
Cogent Arts & Humanities     Open Access   (Followers: 3)
Colloquia Humanistica     Open Access  
Communication and Critical/Cultural Studies     Hybrid Journal   (Followers: 26)
Comprehensive Therapy     Hybrid Journal   (Followers: 3)
Congenital Anomalies     Hybrid Journal   (Followers: 1)
Conjunctions. Transdisciplinary Journal of Cultural Participation     Open Access   (Followers: 3)
Conservation Science in Cultural Heritage     Open Access   (Followers: 10)
Cornish Studies     Hybrid Journal   (Followers: 2)
Creative Industries Journal     Hybrid Journal   (Followers: 10)
Critical Arts : South-North Cultural and Media Studies     Hybrid Journal   (Followers: 11)
Crossing the Border : International Journal of Interdisciplinary Studies     Open Access   (Followers: 4)
Cuadernos de historia de España     Open Access   (Followers: 4)
Cultural History     Hybrid Journal   (Followers: 24)
Cultural Studies     Hybrid Journal   (Followers: 50)
Culturas     Open Access   (Followers: 1)
Culture, Theory and Critique     Hybrid Journal   (Followers: 26)
Daedalus     Hybrid Journal   (Followers: 22)
Dandelion : Postgraduate Arts Journal & Research Network     Open Access   (Followers: 2)
Death Studies     Hybrid Journal   (Followers: 18)
Debatte: Journal of Contemporary Central and Eastern Europe     Hybrid Journal   (Followers: 5)
Digital Humanities Quarterly     Open Access   (Followers: 57)
Diogenes     Hybrid Journal   (Followers: 8)
Doct-Us Journal     Open Access  
Dorsal Revista de Estudios Foucaultianos     Open Access  
e-Hum : Revista das Áreas de Humanidade do Centro Universitário de Belo Horizonte     Open Access   (Followers: 1)
Early Modern Culture Online     Open Access   (Followers: 39)
Égypte - Monde arabe     Open Access   (Followers: 4)
Eighteenth-Century Fiction     Full-text available via subscription   (Followers: 20)
Éire-Ireland     Full-text available via subscription   (Followers: 8)
En-Claves del pensamiento     Open Access   (Followers: 1)
Ethiopian Journal of the Social Sciences and Humanities     Full-text available via subscription   (Followers: 8)
Études arméniennes contemporaines     Open Access   (Followers: 1)
Études canadiennes / Canadian Studies     Open Access   (Followers: 1)
Études de lettres     Open Access   (Followers: 2)
European Journal of Cultural Studies     Hybrid Journal   (Followers: 26)
European Journal of Social Theory     Hybrid Journal   (Followers: 16)
Expositions     Full-text available via subscription  
Fronteras : Revista de Ciencias Sociales y Humanidades     Open Access   (Followers: 2)
Frontiers in Digital Humanities     Open Access   (Followers: 1)
Fudan Journal of the Humanities and Social Sciences     Hybrid Journal  
GAIA - Ecological Perspectives for Science and Society     Full-text available via subscription   (Followers: 4)
German Research     Hybrid Journal   (Followers: 1)
German Studies Review     Full-text available via subscription   (Followers: 27)
Germanic Review, The     Hybrid Journal   (Followers: 5)
Globalizations     Hybrid Journal   (Followers: 8)
Gothic Studies     Full-text available via subscription   (Followers: 15)
Gruppendynamik und Organisationsberatung     Hybrid Journal   (Followers: 1)
Habitat International     Hybrid Journal   (Followers: 5)
Hacettepe Üniversitesi Edebiyat Fakültesi Dergisi     Open Access   (Followers: 1)
Harvard Journal of Asiatic Studies     Full-text available via subscription   (Followers: 13)
Heritage & Society     Hybrid Journal   (Followers: 17)
History of Humanities     Full-text available via subscription   (Followers: 5)
Hopscotch: A Cultural Review     Full-text available via subscription  
Human Affairs     Open Access   (Followers: 1)
Human and Ecological Risk Assessment: An International Journal     Hybrid Journal   (Followers: 4)
Human Nature     Hybrid Journal   (Followers: 18)
Human Performance     Hybrid Journal   (Followers: 5)
Human Remains and Violence : An Interdisciplinary Journal     Full-text available via subscription  
Human Studies     Hybrid Journal   (Followers: 11)
humanidades     Open Access  
Humanitaire     Open Access   (Followers: 2)
Humanities     Open Access   (Followers: 11)
Hungarian Cultural Studies     Open Access  
Hungarian Studies     Full-text available via subscription  
Ibadan Journal of Humanistic Studies     Full-text available via subscription  
Inkanyiso : Journal of Humanities and Social Sciences     Open Access   (Followers: 1)
Inter Faculty     Open Access  
Interim : Interdisciplinary Journal     Open Access   (Followers: 3)
International Journal for History, Culture and Modernity     Open Access   (Followers: 7)
International Journal of Arab Culture, Management and Sustainable Development     Hybrid Journal   (Followers: 8)
International Journal of Cultural Studies     Hybrid Journal   (Followers: 25)
International Journal of Heritage Studies     Hybrid Journal   (Followers: 18)
International Journal of Humanities and Arts Computing     Hybrid Journal   (Followers: 13)
International Journal of Humanities and Cultural Studies     Open Access   (Followers: 6)
International Journal of Humanities of the Islamic Republic of Iran     Open Access   (Followers: 11)
International Journal of Listening     Hybrid Journal   (Followers: 4)
International Journal of the Classical Tradition     Hybrid Journal   (Followers: 12)
Interventions : International Journal of Postcolonial Studies     Hybrid Journal   (Followers: 16)
ÍSTMICA. Revista de la Facultad de Filosofía y Letras     Open Access   (Followers: 1)
Jangwa Pana     Open Access  
Jewish Culture and History     Hybrid Journal   (Followers: 18)
Journal de la Société des Américanistes     Open Access  
Journal des africanistes     Open Access   (Followers: 1)
Journal for Cultural Research     Hybrid Journal   (Followers: 11)
Journal for General Philosophy of Science     Hybrid Journal   (Followers: 6)
Journal for Learning Through the Arts     Open Access   (Followers: 7)
Journal for New Generation Sciences     Open Access   (Followers: 2)
Journal for Research into Freemasonry and Fraternalism     Hybrid Journal  
Journal for Semitics     Full-text available via subscription   (Followers: 5)
Journal Of Advances In Humanities     Open Access   (Followers: 2)
Journal of Aesthetics & Culture     Open Access   (Followers: 21)
Journal of African American Studies     Hybrid Journal   (Followers: 8)
Journal of African Cultural Studies     Hybrid Journal   (Followers: 5)
Journal of African Elections     Full-text available via subscription  
Journal of Arts & Communities     Hybrid Journal   (Followers: 5)
Journal of Arts and Humanities     Open Access   (Followers: 20)
Journal of Bioethical Inquiry     Hybrid Journal   (Followers: 3)
Journal of Cultural Economy     Hybrid Journal   (Followers: 9)
Journal of Cultural Geography     Hybrid Journal   (Followers: 22)
Journal of Data Mining and Digital Humanities     Open Access   (Followers: 29)
Journal of Developing Societies     Hybrid Journal   (Followers: 2)
Journal of Family Theory & Review     Hybrid Journal   (Followers: 3)
Journal of Franco-Irish Studies     Open Access   (Followers: 1)
Journal of Happiness Studies     Hybrid Journal   (Followers: 26)
Journal of Interactive Humanities     Open Access   (Followers: 3)
Journal of Intercultural Communication Research     Hybrid Journal   (Followers: 15)
Journal of Intercultural Studies     Hybrid Journal   (Followers: 12)
Journal of Interdisciplinary History     Hybrid Journal   (Followers: 24)
Journal of Labor Research     Hybrid Journal   (Followers: 19)
Journal of Medical Humanities     Hybrid Journal   (Followers: 22)
Journal of Medieval and Early Modern Studies     Full-text available via subscription   (Followers: 33)
Journal of Modern Greek Studies     Full-text available via subscription   (Followers: 4)
Journal of Modern Jewish Studies     Hybrid Journal   (Followers: 11)
Journal of Open Humanities Data     Open Access   (Followers: 1)
Journal of Semantics     Hybrid Journal   (Followers: 11)
Journal of the Musical Arts in Africa     Hybrid Journal   (Followers: 1)
Journal of Visual Culture     Hybrid Journal   (Followers: 31)
Journal Sampurasun : Interdisciplinary Studies for Cultural Heritage     Open Access  
Jurisprudence     Hybrid Journal   (Followers: 18)
Jurnal Sosial Humaniora     Open Access   (Followers: 1)
L'Orientation scolaire et professionnelle     Open Access   (Followers: 1)
La lettre du Collège de France     Open Access   (Followers: 1)
La Revue pour l’histoire du CNRS     Open Access   (Followers: 2)
Lagos Notes and Records     Full-text available via subscription  
Language and Intercultural Communication     Hybrid Journal   (Followers: 21)
Language Resources and Evaluation     Hybrid Journal   (Followers: 7)
Law and Humanities     Hybrid Journal   (Followers: 7)
Law, Culture and the Humanities     Hybrid Journal   (Followers: 12)
Le Portique     Open Access   (Followers: 1)
Leadership     Hybrid Journal   (Followers: 33)
Legal Ethics     Hybrid Journal   (Followers: 13)
Legon Journal of the Humanities     Full-text available via subscription  
Letras : Órgano de la Facultad de Letras y Ciencias Huamans     Open Access  
Literary and Linguistic Computing     Hybrid Journal   (Followers: 5)
Litnet Akademies : 'n Joernaal vir die Geesteswetenskappe, Natuurwetenskappe, Regte en Godsdienswetenskappe     Open Access  
Lwati : A Journal of Contemporary Research     Full-text available via subscription  
Measurement     Hybrid Journal   (Followers: 2)
Medical Humanities     Full-text available via subscription   (Followers: 23)
Medieval Encounters     Hybrid Journal   (Followers: 9)
Médiévales     Open Access   (Followers: 5)
Mélanges de la Casa de Velázquez     Partially Free   (Followers: 1)
Memory Studies     Hybrid Journal   (Followers: 35)
Mens : revue d'histoire intellectuelle et culturelle     Full-text available via subscription  
Messages, Sages and Ages     Open Access  
Mind and Matter     Full-text available via subscription   (Followers: 3)
Mneme - Revista de Humanidades     Open Access  
Modern Italy     Hybrid Journal   (Followers: 8)
Motivation Science     Full-text available via subscription   (Followers: 2)
Mouseion     Open Access   (Followers: 1)
Mouseion: Journal of the Classical Association of Canada     Full-text available via subscription   (Followers: 14)
Museum International Edition Francaise     Hybrid Journal   (Followers: 4)
National Academy Science Letters     Hybrid Journal   (Followers: 5)
Nationalities Papers     Hybrid Journal   (Followers: 7)
Natures Sciences Sociétés     Full-text available via subscription  
Neophilologus     Hybrid Journal   (Followers: 8)

        1 2     

Journal Cover Measurement
  [SJR: 0.721]   [H-I: 47]   [2 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0263-2241
   Published by Elsevier Homepage  [3089 journals]
  • Feasibility study on measurement of a physiological index value with an
           electrocardiogram tester to evaluate the pavement evenness and driving
           comfort
    • Authors: Jinxi Zhang; Meixia Wang; Dawei Wang; Xinghai Li; Bo Song; Pengfei Liu
      Pages: 1 - 7
      Abstract: Publication date: March 2018
      Source:Measurement, Volume 117
      Author(s): Jinxi Zhang, Meixia Wang, Dawei Wang, Xinghai Li, Bo Song, Pengfei Liu
      The driving comfort, which is mainly determined by the pavement evenness, is one of the most important indexes for evaluating the pavement service condition. Current evaluation indexes for the pavement evenness, such as the international roughness index (IRI), are mainly determined by the vibration acceleration method. However, the driver is at the core in the human-vehicle–road-environment system. Few studies have focused on the physiological state as a response to accelerations induced by pavement unevenness and evaluate the driving comfort on this basis. In this study, the Root Mean Square of the Successive Differences (RMSSD) derived from the driver's heart rate variability (HRV) in the time domain and was selected as an index value for the driver's physiological state. Using an advanced indoor testing platform, the RMSSD values of five drivers were recorded by a KF2 electrocardiogram tester. The relationship between the RMSSD, the driving speed and the IRI underwent detailed analyses. The results of the tests show that the vertical vibration is identical when the drivers are driving on the simulated pavement with the same IRI value; however, the RMSSD values of different drivers were different, i.e., the perception of the same pavement evenness is subjective. Therefore, when evaluating the driving comfort based on the pavement evenness, it is necessary to consider the physiological index. The results obtained in this study have proven the feasibility of measurement of RMSSD value to evaluate the pavement evenness and driving comfort. They are therefore a powerful augmentation of existing evaluation methods and also provide a new reference for further optimization of the pavement surface performance.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.060
      Issue No: Vol. 117 (2017)
       
  • Micro frequency-shift based spectral refinement algorithm and its
           application in spectrum analysis during milling process
    • Authors: Zhiqiang Gao; Lingsong He; Jianhao Du
      Pages: 8 - 20
      Abstract: Publication date: March 2018
      Source:Measurement, Volume 117
      Author(s): Zhiqiang Gao, Lingsong He, Jianhao Du
      The purpose of spectral refinement is to obtain a finer spectrum structure so as to realize a more accurate spectral measurement. In this paper, a micro frequency-shift based spectral refinement algorithm (MFS-FFT) is introduced. This algorithm can efficiently perform any multiple spectral refinement and achieve the refinement over the entire frequency axis without band selection. Two kinds of micro frequency shifters suitable for this algorithm are discussed. The influence of window functions on this algorithm is also analyzed. Compared with the Chirp Z-transform (CZT), the proposed algorithm can achieve the same accuracy as CZT. Our complexity analysis has shown that when the refinement multiple is less than six, the computational cost is always smaller than that of CZT. A spindle speed ramp-up milling experiment has been performed in order to verify the proposed algorithm. Experimental results show that the MFS-FFT algorithm can effectively improve the accuracy of spectral estimation.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.048
      Issue No: Vol. 117 (2017)
       
  • Deep learning framework for recognition of cattle using muzzle point image
           pattern
    • Authors: Santosh Kumar; Amit Pandey; K. Sai Ram Satwik; Sunil Kumar; Sanjay Kumar Singh; Amit Kumar Singh; Anand Mohan
      Pages: 1 - 17
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Santosh Kumar, Amit Pandey, K. Sai Ram Satwik, Sunil Kumar, Sanjay Kumar Singh, Amit Kumar Singh, Anand Mohan
      Animal biometrics is a frontier area of computer vision, pattern recognition and cognitive science to plays the vital role for the registration, unique identification, and verification of livestock (cattle). The existing handcrafted texture feature extraction and appearance based feature representation techniques are unable to perform the animal recognition in the unconstrained environment. Recently deep learning approaches have achieved more attention for recognition of species or individual animal using visual features. In this research, we propose the deep learning based approach for identification of individual cattle based on their primary muzzle point (nose pattern) image pattern characteristics to addressing the problem of missed or swapped animals and false insurance claims. The major contributions of the work as follows: (1) preparation of muzzle point image database, which are not publically available, (2) extraction of the salient set of texture features and representation of muzzle point image of cattle using the deep learning based convolution neural network, deep belief neural network proposed approaches. The stacked denoising auto-encoder technique is applied to encode the extracted feature of muzzle point images and (3) experimental results and analysis of proposed approach. Extensive experimental results illustrate that the proposed deep learning approach outperforms state-of-the-art methods for recognition of cattle on muzzle point image database. The efficacy of the proposed deep learning approach is computed under different identification settings. With multiple test galleries, rank-1 identification accuracy of 98.99% is achieved.

      PubDate: 2017-11-10T09:59:31Z
      DOI: 10.1016/j.measurement.2017.10.064
      Issue No: Vol. 116 (2017)
       
  • A metrological comparison of Raman-distributed temperature sensors
    • Authors: G. Failleau; O. Beaumont; R. Razouk; S. Delepine-Lesoille; M. Landolt; B. Courthial; J.M. Hénault; F. Martinot; J. Bertrand; B. Hay
      Pages: 18 - 24
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): G. Failleau, O. Beaumont, R. Razouk, S. Delepine-Lesoille, M. Landolt, B. Courthial, J.M. Hénault, F. Martinot, J. Bertrand, B. Hay
      Raman distributed temperature sensing techniques (Raman-DTS) are currently meeting a growing interest from the industry as they are a promising and cheap alternative to classical temperature measurements which require the deployment of many sensors. The reliability of the DTS measurements, as well as the traceability to the temperature standards, must be ensured throughout the entire period of use (typically over a few tens of years for nuclear waste repositories and hydraulic structures). LNE, in association with Andra and EDF has developed facilities dedicated to the metrological characterization of Raman DTS devices. A first benchmark performed on five devices from different manufacturers has been performed following experimental procedures which enable a relevant comparison of these instruments. This paper defines the proposed metrological features to be evaluated for each Raman DTS system, and presents a ranking method enabling to provide useful pieces of information to the final users for the selection of the most appropriate device to the requirements of their applications.

      PubDate: 2017-11-10T09:59:31Z
      DOI: 10.1016/j.measurement.2017.10.041
      Issue No: Vol. 116 (2017)
       
  • Force and temperature modelling of bone milling using artificial neural
           networks
    • Authors: Kais I. Abdul-lateef Al-Abdullah; Hamid Abdi; Chee Peng Lim; Wisam Yassin
      Pages: 25 - 37
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Kais I. Abdul-lateef Al-Abdullah, Hamid Abdi, Chee Peng Lim, Wisam Yassin
      The force and temperature of bone milling depends on a large number of parameters pertaining to the bone tissue and cutting tools. In the current literature, there is a lack of information on bone milling for cancellous tissues. In this paper, we use the artificial neural network (ANN) methodology to develop appropriate force and temperature models based on real experimental measurement data of bone milling on artificial tissues with cancellous properties. The models estimate the milling force and temperature as a function of feed rate and spindle speed. Two temperature models are considered, the bur temperature and the fresh-milled bone surface temperature. A full factorial design of experiment (DOE) is used to collect the necessary data for developing and validating the models. A very good agreement between the estimated and the experimental milling forces and temperature is found. The established models are useful for real-time bone milling optimization and control.

      PubDate: 2017-11-10T09:59:31Z
      DOI: 10.1016/j.measurement.2017.10.051
      Issue No: Vol. 116 (2017)
       
  • Conditioning Electrical Impedance Mammography System
    • Authors: Ali Zarafshani; Thomas Bach; Chris R. Chatwin; Shanshan Tang; Liangzhong Xiang; Bin Zheng
      Pages: 38 - 48
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Ali Zarafshani, Thomas Bach, Chris R. Chatwin, Shanshan Tang, Liangzhong Xiang, Bin Zheng
      A multi-frequency Electrical Impedance Mammography (EIM) system has been developed to evaluate the conductivity and permittivity spectrums of breast tissues, which aims to improve early detection of breast cancer as a non-invasive, relatively low cost and label-free screening (or pre-screening) method. Multi-frequency EIM systems typically employ current excitations and measure differential potentials from the subject under test. Both the output impedance and system performance (SNR and accuracy) depend on the total output resistance, stray and output capacitances, capacitance at the electrode level, crosstalk at the chip and PCB levels. This makes the system design highly complex due to the impact of the unwanted capacitive effects, which substantially reduce the output impedance of stable current sources and bandwidth of the data that can be acquired. To overcome these difficulties, we present new methods to design a high performance, wide bandwidth EIM system using novel second generation current conveyor operational amplifiers based on a gyrator (OCCII-GIC) combination with different current excitation systems to cancel unwanted capacitive effects from the whole system. We reconstructed tomography images using a planar E-phantom consisting of an RSC circuit model with different set of values, which represents the resistance of extra-cellular (R), intra-cellular (S) and membrane capacitance (C) of the breast tissues to validate the performance of the system. The experimental results demonstrated that an EIM system with the new design achieved a high output impedance of 10 MΩ at 1 MHz to at least 3 MΩ at 3 MHz frequency, with an average SNR and modelling accuracy of over 80 dB and 99%, respectively.

      PubDate: 2017-11-10T09:59:31Z
      DOI: 10.1016/j.measurement.2017.10.052
      Issue No: Vol. 116 (2017)
       
  • The machining process and multi-sensor measurements of the friction
           components of total hip joint prosthesis
    • Authors: Magdalena Niemczewska-Wójcik; Artur Wójcik
      Pages: 56 - 67
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Magdalena Niemczewska-Wójcik, Artur Wójcik
      The paper presents issues concerning the manufacturing process and investigation of surface topography of polymeric sockets and ceramic balls incorporated into total hip joint prosthesis. In the manufacturing process of friction pairs, a crucial role is played by the type and mechanical properties of a material as well as the stages of machining process. The produced surface topography is then checked and evaluated against the requirements of the standard ASTM F2033-12 which refers to the methods for measuring the permissible limits of dimensional tolerances, departure from roundness, and surface finish (defects and roughness parameters) of the examined components. The measurements of surface topography were performed with the following measuring devices: coordinate measuring machine, white light interference microscopy, and scanning electron microscopy. The produced results provided the basis for conclusions and indicated directions for further research. All studied components meet the requirements of ASTM F2033-12. Identified manufacturing errors, which fall within the error limits, result from many factors that can be eliminated by improving the machining process. The next step in research is to review the accuracy of the machined friction parts using a hip joint simulator.
      Graphical abstract image

      PubDate: 2017-11-10T09:59:31Z
      DOI: 10.1016/j.measurement.2017.10.045
      Issue No: Vol. 116 (2017)
       
  • Features based on analytic IMF for classifying motor imagery EEG signals
           in BCI applications
    • Authors: Sachin Taran; Varun Bajaj; Dheeraj Sharma; Siuly Siuly; A. Sengur
      Pages: 68 - 76
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Sachin Taran, Varun Bajaj, Dheeraj Sharma, Siuly Siuly, A. Sengur
      Brain-computer interface (BCI) system works as a reliable support system for disabled people to communicate with real world. The augmentation in reliability of BCI systems is possible by successful classification of different motor imagery (MI) tasks. In this work, the analytic intrinsic mode functions (AIMFs) based features are proposed for classification of electroencephalogram (EEG) signals of different MI tasks. The AIMFs are obtained by applying empirical mode decomposition (EMD) and Hilbert transform on EEG signal. The features namely: raw moment of first derivative of instantaneous frequency, area, spectral moment of power spectral density, and peak value of PSD are computed from AIMFs. The features are normalized to reduce the biased nature of the classifier. The normalized features are applied as inputs to least squares support vector machine (LS-SVM) classifier and performance parameters are computed using different kernel functions of LS-SVM classifier. The radial basis kernel function for IMF1 provides better MI task classification accuracy 97.56 % , sensitivity 96.45%, specificity 98.96 % , positive predicted value 99.2 % , negative predictive value 95.2%, and minimum error rate detection 4.28 % . The propose method shows better performance as compared to state-of-the-art methods.

      PubDate: 2017-11-10T09:59:31Z
      DOI: 10.1016/j.measurement.2017.10.067
      Issue No: Vol. 116 (2017)
       
  • Relative measurement theory
    • Authors: Ken Krechmer
      Pages: 77 - 82
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Ken Krechmer
      The discontinuous, non-causal and instantaneous changes due to a measurement that appear in quantum mechanics (QM) theory are not consistent with a classical understanding of physical reality, but are completely confirmed by experiments. Relative measurement theory explains why. This paper presents the first formal development of an experimental measurement which includes the uncertainty due to calibration and resolution. The uncertainty due to calibration and resolution, previously considered experimental artifacts, is shown to be equal to the uncertainty that appears in QM theory and experiment. When the calibration to a reference and resolution effects are considered, all the QM measurement discontinuities are consistent with classical explanations.

      PubDate: 2017-11-10T09:59:31Z
      DOI: 10.1016/j.measurement.2017.10.053
      Issue No: Vol. 116 (2017)
       
  • On the measurement uncertainties of THz imaging systems based on
           compressive sampling
    • Authors: Leopoldo Angrisani; Francesco Bonavolontà; Giovanni Cavallo; Annalisa Liccardo; Rosario Schiano Lo Moriello
      Pages: 83 - 95
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Leopoldo Angrisani, Francesco Bonavolontà, Giovanni Cavallo, Annalisa Liccardo, Rosario Schiano Lo Moriello
      The paper deals with the experimental performance assessment of Compressive Sampling (CS) based Terahertz (THz) Imaging systems, an emerging approach for carrying out non-destructive tests of materials with the aim of detecting defects and flaws. Differently from traditional methods based on raster scan, CS approach allows to reconstruct the image of interest through a reduced number of measurements, with a notable reduction of the time of investigation. Although both simulated and experimental results concerning the performance assessment of THz Imaging technique are available in literature, the additional uncertainty due to the application of CS approach has never been in-depth taken into account, since the step of CS processing has been considered as ideal. Due to the success of CS-based Imaging THz technique and the promising performance of its exploitation also in industrial applications, the considered assumption is no more acceptable. Therefore, the authors focused their attention on the uncertainty sources associated with the experimental application of CS to THz Imaging systems and on their impact on the overall quality of the reconstructed image. Several numerical tests, conducted by means of an optimized design of experiments, allow to (i) assess the sensitivity to relevant uncertainty sources of the reconstructed image quality and (ii) define a suitable performance factor capable of driving experimenters towards a proper configuration of the measurement station. In particular, misalignment of the CS masks turns out to be the most impacting uncertainty source, as confirmed by experimental tests carried out through an actual THz Imaging system. Nevertheless, the performance factor estimated on the reconstructed image of a reference target is capable of highlighting the presence of an incorrect configured Imaging system, thus making it possible to remedy and provide accurate and reliable THz images.

      PubDate: 2017-11-10T09:59:31Z
      DOI: 10.1016/j.measurement.2017.10.030
      Issue No: Vol. 116 (2017)
       
  • Synchronized measurement based an adaptive distance relaying scheme for
           STATCOM compensated transmission line
    • Authors: Arvind R. Singh; Nita R. Patne; Vijay S. Kale
      Pages: 96 - 105
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Arvind R. Singh, Nita R. Patne, Vijay S. Kale
      Protection of bulk power delivering transmission line (TL) is very important for power system stability and reliability. The environmental and right of way restrictions delayed the construction of new transmission line to meet the deregulated power demands. Shunt FACTS devices connected in the transmission system enhances the power transfer capability up to its thermal limit. Shunt FACTS devices have the ability to control series impedance, shunt impedance, current, voltage and load angle. STATCOM is one of such shunt FACTS devices which severely affect the protection system installed for TL. This research work is focused on the addressing the issues with distance relaying of STATCOM compensated TL and to overcome these adverse effects, new adaptive relaying algorithm is presented based on synchronized measurement. The proposed algorithm is implemented in PSCAD EMTDC simulation to validate its performance in terms of accuracy and reliability subjected to various faults on TL. Error in the fault location estimation with proposed algorithm is 0.6% for 300 km TL. To claim the superiority and its accuracy, the algorithm is tested in hardware environment with faults in offline mode.

      PubDate: 2017-11-10T09:59:31Z
      DOI: 10.1016/j.measurement.2017.11.005
      Issue No: Vol. 116 (2017)
       
  • Realization of 2.4 mm coaxial microcalorimeter system as national
           standard of microwave power from 1 MHz to 50 GHz
    • Authors: Saood Ahmad; Michael Charles; Djamel Allal; P.S. Negi; V.N Ojha
      Pages: 106 - 113
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Saood Ahmad, Michael Charles, Djamel Allal, P.S. Negi, V.N Ojha
      A 2.4 mm coaxial microcalorimeter system based on thermoelectric principle has been realized as a national standard of microwave power at National Physical Laboratory India (NPLI). The design is based on two symmetrical and thermally isolated transmission lines, one connected to power standard and the other connected to an identical power standard used as a thermal reference. The main function of the system is to determine the temperature variation between the two power standards, which is of the order of few milli-Kelvin, using a specially designed thermopile. The coaxial microcalorimeter along with the thermocouple power sensor will provide traceable measurements from 1 MHz to 50 GHz. An interlaboratory measurement comparison of microwave power for the validation of the 2.4 mm coaxial microcalorimeter system has been carried out between NPLI and Laboratoire National de Métrologie et d'Essais (LNE) France. The difference between the effective efficiency evaluated by the two laboratories was less than 0.5% at all frequency points. The normalized error value of NPLI for effective efficiency varies between −0.23 and +0.09 with respect to LNE. The result shows good agreement in assigning the effective efficiency to power sensor among the two labs within their claimed expanded uncertainty. It proves the degree of equivalence in measurements between two national metrology institutes (NMIs).

      PubDate: 2017-11-10T09:59:31Z
      DOI: 10.1016/j.measurement.2017.10.063
      Issue No: Vol. 116 (2017)
       
  • Evaluation of welding skill using probability density distributions and
           neural network analysis
    • Authors: Vikas Kumar; S.K. Albert; N. Chandrasekhar; J. Jayapandian
      Pages: 114 - 121
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Vikas Kumar, S.K. Albert, N. Chandrasekhar, J. Jayapandian
      Manual Metal Arc Welding (MMAW) is learned best by practice and the current procedure of assessing this learning is by inspection and/or testing of the weld. This is an indirect, expensive and time consuming method as the assessment can be made only after completion of weld and its subsequent inspection or testing. A possible alternative to this is the acquisition of electrical signals at a very high speed while welding is in progress and their subsequent analysis. Skill of the welder largely depends on ability of the welder in maintaining constant arc gap which, in turn results in steady state arc voltage. Hence, if voltage during welding can be acquired at a sufficiently high rate of acquisition, then this data can be analysed to assess welders' skill. Accordingly, data was acquired from trainee welders and from an experienced welder at a sampling rate of 100,000 samples/s and subsequently subjected to statistical and neural network analyses. Comparison of probability Density Distributions (PDDs) generated from these data and the neural network analysis revealed improvement in the learning of the welders with progress of training. These procedures were also employed independently to assess the skill of a large number of trainee welders at the end of their training. Ranking based on this procedure matched fairly well with that produced independently from visual examination of the weld.

      PubDate: 2017-11-10T09:59:31Z
      DOI: 10.1016/j.measurement.2017.11.009
      Issue No: Vol. 116 (2017)
       
  • Investigation of pore size distributions of coals with different
           structures by nuclear magnetic resonance (NMR) and mercury intrusion
           porosimetry (MIP)
    • Authors: Xiangchen Li; Yili Kang; Manouchehr Haghighi
      Pages: 122 - 128
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Xiangchen Li, Yili Kang, Manouchehr Haghighi
      Pore size distribution of the coal is an important parameter for reliable prediction of coalbed methane production which controls both diffusion (desorption time) and seepage (relative permeability). In this study, nuclear magnetic resonance (NMR) and mercury intrusion porosimetry (MIP) have been applied to determine the pore size distribution of coal bed methane reservoirs and the effects of testing pressure. Two sets of NMR measurement were designed in which the results show that NMR transvers relaxation (T2 ) distribution relates to both coal pore structure and pore pressure. Our results show that the increasing pore pressure changes the pore size distribution of the coal sample with developed and poor connected macro pores (>0.1 μm). However, pore pressure hardly affects the pore size distribution in tight coals dominated by micro pores (<0.1 μm). Also, it was found that high pressure in MIP measurements may either deform or destroy the original pore structure and induce the invalid result of pore size distribution. The combined method of thin slice, field emission scanning electron microscopy (FESEM), μ-CT, isothermal adsorption and density measurement was implemented to validate the accuracy of NMR and MIP results. Based on the comparative analysis of the measurement results, NMR is an efficiently non-destructive method for quantifying pore size distributions of the coal and helpful to apply MIP by optimal testing pressure.

      PubDate: 2017-11-10T09:59:31Z
      DOI: 10.1016/j.measurement.2017.10.059
      Issue No: Vol. 116 (2017)
       
  • Evaluation of optimized surface properties and residual stress in
           ultrasonic assisted ball burnishing of AA6061-T6
    • Authors: Reza Teimouri; Saeid Amini; Alireza Bagheri Bami
      Pages: 129 - 139
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Reza Teimouri, Saeid Amini, Alireza Bagheri Bami
      Ultrasonic assisted ball burnishing process is a newly developed alternative of conventional ball burnishing process that enhances the surface properties of engineering materials through imposing both the static and dynamic loadings. The process needs careful selection of design parameters to improve the performance measures such as surface roughness and hardness. In the present study an experimental investigation was carried out to analyze effect of ultrasonic vibration amplitude, feed rate and static force on surface roughness and hardness of aluminum 6061-T6 alloy. Here, number of 20 experiments was carried out through face centered central composite design and values of surface roughness and hardness after each experiment were measured. Hereafter, response surface methodology (RSM) was utilized to correlate empirical relationship between process parameters and responses. Further, numerical simulation of process using ABAQUS software has been carried out to study states of residual stress and plastic equivalent strain under different processing condition. Results indicated that in order to achieve maximum hardness and minimum surface roughness simultaneously, ultrasonic vibration amplitude of 8 µm, feed rate of 1000 mm/min and static force of 38 N, should be selected. The obtained optimal results were then experimentally verified and the prediction errors for both the responses were lower than 10%, implying rigidity of proposed methodology in finding the optimum results. The results obtained by FE simulation showed that the maximum value and effective depth of compressive residual stress in ultrasonic assisted process is significantly higher than that of conventional burnishing.

      PubDate: 2017-11-10T09:59:31Z
      DOI: 10.1016/j.measurement.2017.11.001
      Issue No: Vol. 116 (2017)
       
  • An “ad-hoc” modified likelihood function applied to optimization of
           data analysis in atomic spectroscopy
    • Authors: Leonardo Bennun
      Pages: 140 - 145
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Leonardo Bennun
      In this paper we propose an “ad-hoc” construction of the Likelihood Function, in order to develop a data analysis procedure, to be applied in atomic and nuclear spectral analysis. The classical Likelihood Function was modified taking into account the underlying statistics of the phenomena studied, by the inspection of the residues of the fitting, which should behave with specific statistical properties. This new formulation was analytically developed, but the sought parameter should be evaluated numerically, since it cannot be obtained as a function of each one of the independent variables. For this simple numerical evaluation, along with the acquired data, we also should process many sets of external data, with specific properties — This new random data should be uncorrelated with the acquired signal. The statistical method developed was evaluated over computer simulated spectra and over an experimental example. The numerical evaluations of the calculated parameter applying this method, indicate an improvement in one order of magnitude over accuracy compared with those produced by least squares approaches. In the experimental application of this method, over the quantification of Mn in a spectrum of a IAEA’s sample (Proficiency Ring Test, PTXRFIAEA12), we found an improvement over the precision of the results. We still have to evaluate the improvement produced by this method over Detection and Quantitation Limits, in TXRF spectral analysis.

      PubDate: 2017-11-17T10:32:40Z
      DOI: 10.1016/j.measurement.2017.10.061
      Issue No: Vol. 116 (2017)
       
  • Studying the rate of corrosion of the bottom of a jet loop reactor using
           digital close-range photogrammetric techniques
    • Authors: Mostafa A.B. Ebrahim; M.H. Abdel-Aziz
      Pages: 153 - 161
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Mostafa A.B. Ebrahim, M.H. Abdel-Aziz
      The current task intends to research the impact of various operating and geometrical parameters on the corrosion rate of a jet loop reactor bottom. Photogrammetry is a recent surveying method that has been used to picture and measure the corrosion rate. Henceforth, the three dimensional model of the affected regions of the reactor which are under investigation have been formed by one of the photogrammetric methods. The physical properties of the solution (viscosity and density), the nozzle height, the nozzle diameter and the flow rate of circulation are the variable that are being studied. A dimensionless equation was developed from the experimental data, which will be a useful tool for prediction of the corrosion rate at the jet loop reactor bottom within the present range of operating conditions.
      Graphical abstract image

      PubDate: 2017-11-17T10:32:40Z
      DOI: 10.1016/j.measurement.2017.11.013
      Issue No: Vol. 116 (2017)
       
  • A comparative study on machinability of cryo-treated and peak aged
           15Cr-5Ni precipitation hardened stainless steel
    • Authors: D. Palanisamy; P. Senthil
      Pages: 162 - 169
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): D. Palanisamy, P. Senthil
      Cryogenic treatment is a competent approach to improve the mechanical properties and microstructure of 15-5 PH stainless steel by considering the economic and other beneficial effects. This study brings out the correlation between the microstructure, mechanical properties and experimental examination on the machinability of 15-5 PH stainless steel. Cryogenic treatment with aging and conventional heat treatment process was done on the as received samples before machining. Mechanical properties and microstructure were evaluated at different treated conditions. This present investigation is to explore the effect of machining variables on performance measures namely tangential cutting force, tool wear, chip form analysis and surface roughness. The hardness and strength of cryogenically treated with aged samples were high while comparing with conventional heat treated samples. From the experimental investigation, it was observed that the cutting force and surface roughness are minimum at lower rate of feed and higher cutting speed for all the machined samples. The surface finish was found to be better for the cryo-treated with aged samples.

      PubDate: 2017-11-17T10:32:40Z
      DOI: 10.1016/j.measurement.2017.11.008
      Issue No: Vol. 116 (2017)
       
  • Investigation of some structural and optical properties of lithium sodium
           fluoroborate glasses containing cuprous oxide
    • Authors: Ahmed H. Hammad; H.M. Elsaghier; W. Abbas; Nehad A. Zidan; Samir Y. Marzouk
      Pages: 170 - 177
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Ahmed H. Hammad, H.M. Elsaghier, W. Abbas, Nehad A. Zidan, Samir Y. Marzouk
      Lithium sodium fluoroborate glasses containing Cu2O were investigated in terms of structural and optical modification. The measured density values are observed to increase as Cu2O increase related to the replacement of some alkali cations by the higher density copper ions. Infrared absorption spectra for the investigated glasses show the characteristic structural bands or peaks for triangular and tetragonal borate units and the presence of fluorine ions may cause a replacement of some BO3/BO4 units by BO2F/BO3F units, respectively. Optical band gap values are observed to decrease from 3.402 to 1.7 eV as the copper content increase. The refractive index values are varied from 2.296 to 2.880 as the copper content changed. The studied glasses tend to metallicity when copper ions embedded to borate network. Oxide/fluoride ions polarizability and optical basicity are correlated to the linear refractive index. The optical basicity based on refractive index behaves linearity associated with refractive index.
      Graphical abstract image

      PubDate: 2017-11-17T10:32:40Z
      DOI: 10.1016/j.measurement.2017.11.012
      Issue No: Vol. 116 (2017)
       
  • Minimization of cutting force, temperature and surface roughness through
           GRA, TOPSIS and Taguchi techniques in end milling of Mg hybrid MMC
    • Authors: P.M. Gopal; K. Soorya Prakash
      Pages: 178 - 192
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): P.M. Gopal, K. Soorya Prakash
      Present study investigates the effect of material and machining parameters on cutting force, surface roughness and temperature in end milling of Magnesium (Mg) Metal Matrix Composite (MMC) using carbide tool. Mg hybrid composite was fabricated by reinforcing Cathode Ray Tube (CRT) panel glass, an intensifying E-waste and Boron Nitride (BN) particles through powder metallurgy method. The milling experiments were conducted based on L27 orthogonal array designed by considering CRT glass particle size and weight percentage, tool diameter, speed, feed and depth of cut as input process parameters. Multi objective optimization was done through Grey Relational Analysis (GRA) and Techniques for Order Preferences by Similarity to Ideal Solution (TOPSIS). Both of the techniques provided a similar optimum parameter condition i.e. 10 µm particle size, 5% reinforcement, 8 mm diameter tool, 710 rpm speed, 20 mm/min feed and 0.5 mm depth of cut that outcomes in 139.48 N in-feed force, 63.92 N cross-feed force, 42.6 N thrust force, 68.96 °C temperature and 0.198 µm surface roughness. ANOVA is performed to identify significance and also the effect of each process variables on response parameters. Though all the parameters were found to be significant, reinforcement weight% and particle size affects the response parameters as that of machining parameters whereas speed turned to be the least significant factor.
      Graphical abstract image

      PubDate: 2017-11-17T10:32:40Z
      DOI: 10.1016/j.measurement.2017.11.011
      Issue No: Vol. 116 (2017)
       
  • Single loop detector data validation and imputation of missing data
    • Authors: Mohammad Maghrour Zefreh; Adam Torok
      Pages: 193 - 198
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Mohammad Maghrour Zefreh, Adam Torok
      The data derived from loop detectors are of great importance in terms of traffic monitoring and analysis. These data may contain many holes or incorrect values due to equipment malfunctions and communication faults that may produce unreliable results. These holes (missing samples) or incorrect values (bad samples) might be problematic for any algorithm that uses the data for analysis. In this paper, a method is described that detects bad data samples gathered by the loop detectors and imputes the best available samples in order to fill the holes caused by the bad declared samples. The diagnostics algorithm proposed in this paper is based on the statistical analysis. Unlike the previous approaches, this algorithm considers the time series of many samples, rather than basing decisions on single samples. The imputation algorithm proposed in this paper uses the “good” declared samples from the historical data of the investigated loop detector to fill the holes caused by the bad declared samples. This detection and imputation process allows the algorithms that use loop data to perform analysis without requiring them to compensate for missing or incorrect data samples.

      PubDate: 2017-11-17T10:32:40Z
      DOI: 10.1016/j.measurement.2017.10.066
      Issue No: Vol. 116 (2017)
       
  • Gyroscopic drift compensation by using low cost sensors for improved
           attitude determination
    • Authors: S.M. Dildar Ali; U. Iqbal Bhatti; K. Munawwar; U. Al-Saggaf; Shoaib Mansoor; Jamshaid Ali
      Pages: 199 - 206
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): S.M. Dildar Ali, U. Iqbal Bhatti, K. Munawwar, U. Al-Saggaf, Shoaib Mansoor, Jamshaid Ali
      Desire of inexpensive Electro-Optic and Micro-Electro-Mechanical System (MEMS) inertial sensors has drastically been increased in the recent times for both military and commercial applications. Beside the traditional applications, reduced cost of such sensors has opened new domains in personal navigation. This paper provides a framework for attitude estimation using miniaturized and cost-effective Inertial Measurement Units (IMU). Sensor fusion of gyroscope, accelerometer and True Air Speed (TAS) sensor helps in minimizing the characteristic time growing error present in gyroscopic integrated data. A novel approach of TAS model development is implemented to generate true air speed data in the absence of TAS sensor. The presence of linear acceleration is estimated and eliminated by means of gyroscope and TAS model. Due to the slight difference in two direction vectors, an error function is estimated and constantly compensated by using a Proportional-Integral (PI) block. Coarse tuning of PI gains is applied and simulated results are produced to assess the filter performance by using real vehicle data. It has been presented that the proposed filter can be used to compute a reasonably accurate attitude solution by using low cost inertial sensors when external aiding is unavailable or not useful.

      PubDate: 2017-11-17T10:32:40Z
      DOI: 10.1016/j.measurement.2017.11.003
      Issue No: Vol. 116 (2017)
       
  • Non-uniform flank rolling measurement for shaped noncircular gears
    • Authors: Fangyan Zheng; Xiaodong Guo; Mingde Zhang
      Pages: 207 - 215
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Fangyan Zheng, Xiaodong Guo, Mingde Zhang
      Noncircular gears can be applied to realize non-uniform transmission ratio for various mechanical systems. However, due to the complex geometry, the manufacture and measurement constitute great hindrance to the application. Recently, a practical shaping method has been applied to the manufacture of noncircular gear. Yet along with this, still no investigation has been conducted into the measurement method or device for noncircular gears. In this regard, the paper aims for a quick measurement of shaped noncircular gears. The manufacture of noncircular gears is discussed first, a mathematical model for non-uniform flank rolling measurement is established then, and finally, the measurement processing is introduced, including the developed measurement device, the computerized measurement system and a measurement experiment.

      PubDate: 2017-11-17T10:32:40Z
      DOI: 10.1016/j.measurement.2017.07.048
      Issue No: Vol. 116 (2017)
       
  • Non-invasive and wearable early fever detection system for young children
    • Authors: M.D.P. Garcia-Souto; P. Dabnichki
      Pages: 216 - 229
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): M.D.P. Garcia-Souto, P. Dabnichki
      Fever in young children is taken seriously by healthcare professionals as it indicates an underlying infection which can be life-threatening. Core body temperature can be accurately measured using traditional techniques, but these are not suitable for non-invasive monitoring during normal life. This study investigates the possibility of fever monitoring in children under 2years of age in a non-clinical setting based on various local skin temperatures. Various system designs are presented, i.e. single vs multi-sensor systems, and a set of sensors either localized or distributed across the body. The probability of positive fever identification on feverish children ranges from ∼40% to 77% using 1 and 5 sensors respectively, while the detected false positives are a 10%. We conclude that a continuous and non-invasive fever monitoring in children under 2years is possible by the propose method, providing a suitable solution for early fever detection and alert.

      PubDate: 2017-11-17T10:32:40Z
      DOI: 10.1016/j.measurement.2017.08.025
      Issue No: Vol. 116 (2017)
       
  • Evaluation of magnetoelectric sensor systems for cardiological
           applications
    • Authors: Jens Reermann; Phillip Durdaut; Sebastian Salzer; Thomas Demming; André Piorra; Eckhard Quandt; Norbert Frey; Michael Höft; Gerhard Schmidt
      Pages: 230 - 238
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Jens Reermann, Phillip Durdaut, Sebastian Salzer, Thomas Demming, André Piorra, Eckhard Quandt, Norbert Frey, Michael Höft, Gerhard Schmidt
      Thin-film magnetoelectric sensors are able to measure very low magnetic fields. As a consequence the hypothesis that magnetoelectric sensors could be used for biomagnetic measurements was often mentioned but never proven. In this contribution the first proof of this hypothesis will be given by the measurement of the (well-known) R-wave of the human heart. This will be achieved by closing the gap between the sensor sensitivity and the signal level by averaging. In order to guarantee a fast convergence of the averaging process even in very noisy (realistic) measurement environments, different adaptive averaging techniques in the time- and frequency-domain are pointed out. The evaluation by synthetic measurements shows an improvement of the averaging process by up to 20dB in terms of signal-to-noise ratio for an instationary measurement scenario in comparison to the conventional averaging after 750 average periods. Finally, measurements of the R-wave of a human heart are performed.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.09.047
      Issue No: Vol. 116 (2017)
       
  • System for manufacturing magnetic labels
    • Authors: Carlos Morón; Tomás Gil; Amparo Verdú; Alberto Morón
      Pages: 239 - 245
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Carlos Morón, Tomás Gil, Amparo Verdú, Alberto Morón
      As a result of this study, a device has been developed for the pulsed current annealing of amorphous magnetic materials covered with non-conductive dissipative material, such as silicone oil. This system makes it possible to obtain magnetic labels using a single material, thereby reducing production costs and preventing the material from rusting during the treatment process. Furthermore, maintaining the sample in tension throughout the process prevents it from becoming deformed or breaking during the heat treatment. Lastly, it has been demonstrated that the labels obtained can be detected by measuring the spectral response.

      PubDate: 2017-11-17T10:32:40Z
      DOI: 10.1016/j.measurement.2017.11.021
      Issue No: Vol. 116 (2017)
       
  • Novel insight into swept frequency eddy-current non-destructive evaluation
           of material defects
    • Authors: Ladislav Janousek; Andrea Stubendekova; Milan Smetana
      Pages: 246 - 250
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Ladislav Janousek, Andrea Stubendekova, Milan Smetana
      Swept frequency eddy-current non-destructive evaluation of defects is concerned in this paper. Possibility of evaluation of detected crack dimensions from response signals is experimentally studied. Two plate specimens having electro-discharge machined slits of various dimensions are inspected using an eddy-current probe. The probe is fixed at a certain position above a specimen during entire inspection of one slit. Frequency of the exciting signal is changed in a wide range in order to acquire frequency response characteristics. The frequency range is adjusted in such a way that the electrical resonance is clearly visible from the acquired characteristics. The characteristics are further processed for exploring their variations in respect to size of inspected slits. Presented results clearly show that the resonance frequency depends on dimensions of a slit. These unique results thus bring new insight into possible utilization of fixed eddy-current sensors driven with swept frequency signal for non-destructive evaluation of cracks.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.039
      Issue No: Vol. 116 (2017)
       
  • Effect of body movement on the thermophysiological responses of an
           adaptive manikin and human subjects
    • Authors: Faming Wang
      Pages: 251 - 256
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Faming Wang
      Adaptive (or thermoregulatory model controlled) manikins are useful in quantifying thermal exchanges of the human-clothing-environment system and in simulating human thermophysiological behaviours. Current existing adaptive manikins didn’t take account into the body movement/posture during simulations and this may greatly affect the precision of simulation results. Hence, in this study, the impact of body movement on human physiological responses was investigated using a ‘Newton’ type adaptive thermal manikin and human subjects in a warm environment (i.e., Ta  = 30.0 ± 0.5 °C, RH = 60 ± 5%, va  = 0.17 ± 0.05 m/s). Results demonstrated that the body movement significantly affected the thermal exchange between the clothed manikin and its surrounding environment. Significantly greater mean skin and core temperatures were noted on the standing manikin than those on the walking manikin. In contrast, simulation results obtained from the walking manikin were much closer to human trial data than those obtained from the standing adaptive manikin. Particularly, no significant difference was found in the mean core temperature between the walking adaptive manikin and human subjects. Therefore, the standing adaptive manikin significantly overestimated thermal stress for the two studied conditions. It was thus suggested the body movement should be considered when mimicking human activities on adaptive manikins.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.026
      Issue No: Vol. 116 (2017)
       
  • Risk assessment of particulate matters in a dentistry school using fuzzy
           inference systems
    • Authors: Hamid Reza Jamshidi; Ali Karimi; Mahin Haghshenas
      Pages: 257 - 263
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Hamid Reza Jamshidi, Ali Karimi, Mahin Haghshenas
      The fuzzy logic approach used to estimate the health risk of suspended dust in different parts of a dentistry school. Three input variables, including PM2.5, PM10 and TSP, and health risk level as the output variable were fuzzed using a fuzzy inference system. Trapezoidal and Triangular membership function were used to graphically defined the outputs (very low, low, moderate, high and very high) in fuzzy sets. The greatest concentrations of particle matters in general orthodontics with 15.9 mg/m3 of TSP and 7.6 mg/m3 of PM10 and after which special orthodoxies TSP (13.5 mg/m3) and PM10 (7.1 mg/m3) in all the parts. Also, surface graphs illustrated the relationship between PM2.5, PM10 and TSP. Fuzzy inference system as a novel approach was used for prediction of health risk levels of particulate pollution in dentistry school. Also, this method can be used effectively in other workplace like hospital and health care facilities.
      Graphical abstract image

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.010
      Issue No: Vol. 116 (2017)
       
  • An evaluation of the anticorrosion effect of ethylene glycol for AA7075-T6
           alloy in 3.5% NaCl solution
    • Authors: Hüsnü Gerengi; Moses M. Solomon; Ertuğrul Kaya; Fatma E. Bagci; Ekaette J. Abai
      Pages: 264 - 272
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Hüsnü Gerengi, Moses M. Solomon, Ertuğrul Kaya, Fatma E. Bagci, Ekaette J. Abai
      The corrosion behaviour of AA7075-T6 aluminum alloy in 3.5% NaCl devoid of and containing various amounts of ethylene glycol (EG) has been examined by DEIS (dynamic electrochemical spectroscopy), PDP (Potentiodynamic polarization), SEM (scanning electron microscope), EDAX (energy dispersive X-ray spectroscopy), and AFM (atomic force microscope). AA7075-T6 alloy specimen corroded significantly in 3.5% NaCl solution. In 3.5% NaCl containing EG, the alloy is protected but the extent of protection is a function of immersion duration and concentration of EG. EG affects both the anodic and cathodic corrosion reactions according to PDP results. The adsorption of EG molecules onto AA7075-T6 surface follow Langmuir adsorption isotherm model. The Δ G ads 0 value calculated for the adsorption process reveals that physisorption is the prevailing mechanism. SEM and AFM pictures support the experimental results and EDAX results confirm the presence of EG molecules on AA7075-T6 surface.
      Graphical abstract image

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.030
      Issue No: Vol. 116 (2017)
       
  • Fault detection of broken rotor bar in LS-PMSM using random forests
    • Authors: Juan C. Quiroz; Norman Mariun; Mohammad Rezazadeh Mehrjou; Mahdi Izadi; Norhisam Misron; Mohd Amran Mohd Radzi
      Pages: 273 - 280
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Juan C. Quiroz, Norman Mariun, Mohammad Rezazadeh Mehrjou, Mahdi Izadi, Norhisam Misron, Mohd Amran Mohd Radzi
      This paper proposes a new approach to diagnose broken rotor bar failure in a line start-permanent magnet synchronous motor (LS-PMSM) using random forests. The transient current signal during the motor startup was acquired from a healthy motor and a faulty motor with a broken rotor bar fault. We extracted 13 statistical time domain features from the startup transient current signal, and used these features to train and test a random forest to determine whether the motor was operating under normal or faulty conditions. For feature selection, we used the feature importances from the random forest to reduce the number of features to two features. The results showed that the random forest classifies the motor condition as healthy or faulty with an accuracy of 98.8% using all features and with an accuracy of 98.4% by using only the mean-index and impulsion features. The performance of the random forest was compared with a decision tree, Naïve Bayes classifier, logistic regression, linear ridge, and a support vector machine, with the random forest consistently having a higher accuracy than the other algorithms. The proposed approach can be used in industry for online monitoring and fault diagnostic of LS-PMSM motors and the results can be helpful for the establishment of preventive maintenance plans in factories.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.004
      Issue No: Vol. 116 (2017)
       
  • Influence of vision measurement system spatial configuration on
           measurement uncertainty, based on the example of electric traction
           application
    • Authors: Jacek Dominik Skibicki; Slawomir Judek
      Pages: 281 - 298
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Jacek Dominik Skibicki, Slawomir Judek
      Technical diagnostics plays a significant role in ensuring operational reliability of electrified rail transport. The most critical point in the transmission of electric energy to vehicles is the sliding contact of the current collector with the traction network. For this reason, work is currently being carried on new measuring methods, whose appliance allows for more complete diagnostics of the contact line and current collectors, as well as for monitoring the co-operation of these elements. Each measurement method must be analysed for level of uncertainty, so that the obtained measurement results are reliable. This paper presents a theoretical analysis of the influence of the visual measuring method spatial configuration on the obtained level of measurement uncertainty. This method is designed for measurement contact wire displacements. The results of theoretical analysis were verified by a measurement experiment performed with the use of the Last Square Fitting Algorithm. Finally, the results of sample measurement results obtained at the laboratory tests stand, which proved the practical usefulness of the discussed measurement method, were presented.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.022
      Issue No: Vol. 116 (2017)
       
  • Smartphone-based video for 3D modelling: Application to infant’s
           cranial deformation analysis
    • Authors: José Luis Lerma; Inés Barbero-García; Ángel Marqués-Mateu; Pablo Miranda
      Pages: 299 - 306
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): José Luis Lerma, Inés Barbero-García, Ángel Marqués-Mateu, Pablo Miranda
      The use of smartphones cameras for photogrammetric purposes is increasing. However, the suitability of smartphones for 3D modelling for medical purposes in general, and for cranial deformation in particular, is still to be analysed. This paper investigates the suitability of smartphone video cameras to create 3D models for cranial deformation analysis compared to the digital single-lens reflex (SLR) cameras traditionally used in close-range photogrammetry. Two models are obtained, the first one from a slow-motion video recorded with a smartphone, and the second one from SLR camera imagery. The models are compared to evaluate the differences not only between themselves but also through the best fitting ellipsoid that allow the determination of the cranial deformations. The average distance between models is 0.5 mm, and below 1 mm for 86% of the model points. The maximum difference between the two fitted ellipsoid semiaxes is 1 mm. It can be stated that smartphones are a low-cost solution that can provide 3D models with a similar accuracy to that of SLR cameras for non-static objects in close range scenarios. More interestingly, slow-motion videos provide comparable results in real clinical conditions with infants in movement.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.019
      Issue No: Vol. 116 (2017)
       
  • Discrimination of selected fungi species based on their odour profile
           using prototypes of electronic nose instruments
    • Authors: Jacek Gębicki; Bartosz Szulczyński
      Pages: 307 - 313
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Jacek Gębicki, Bartosz Szulczyński
      The paper presents practical application of an electronic nose technique to fast and efficient discrimination of the samples of different fungi species such as: Penicillium chrysogenum, Cladosporium herbarum, Rhizopus oryzae, Alternaria alternata. Two prototypes of electronic nose instrument were utilized for investigation of discrimination capability with respect to odour profile of these fungi: the first prototype was based on MOS-type chemical sensors, the second one was based on gas chromatography technique. The fungi samples were prepared as the aqueous suspensions, the headspace of which was subjected to analysis. The data were analysed using the multidimensional methods: PCA, LDA and k-NN. The obtained results confirmed legitimacy of application of the electronic nose technique to identification and discrimination of fungi species. In case of the gas chromatography-based electronic nose prototype correct classification of the fungi species was at the level of 80–100% depending on the classification method employed, in case of the electronic nose prototype utilizing the MOS-type sensors correct classification was at the level of 55–100%.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.029
      Issue No: Vol. 116 (2017)
       
  • Effect of Bi2O3 addition on the ultrasonic properties of pentaternary
           borate glasses
    • Authors: R. El-Mallawany; H.A. Afifi; M. El-Gazery; A.A. Ali
      Pages: 314 - 317
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): R. El-Mallawany, H.A. Afifi, M. El-Gazery, A.A. Ali
      The effects of addition of Bi2O3 to borate glasses in a series of (75-x) B2O3-xBi2O3-10Na2O-10CaO-5Al2O3 have been studied through the ultrasonic properties of the glasses. The ultrasonic wave velocities (longitudinal, VL and shear, VS) were measured at 4 MHz using ultrasonic pulse echo method. Longitudinal L, shear G, bulk K, Yong's E moduli, Poisson's ratio σ, Microhardness (H), softening temperature (Ts) and Debye temperature (θD) were measured. Quantitative analysis of the experimental data has been carried based on the bond compression and Makishima-Mackenzie models.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.028
      Issue No: Vol. 116 (2017)
       
  • Transient responses and stability in the differential electrostatic sensor
           of inertial and gravitational moments with asymmetry
    • Authors: I. Gilavdary; S. Mekid; N. Riznookaya; A. Abdul Sater
      Pages: 318 - 325
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): I. Gilavdary, S. Mekid, N. Riznookaya, A. Abdul Sater
      High sensitivity of Gravity Inertial Sensors (GIS) can be achieved with low natural frequency Ω of the proof mass (PM) that must have low level noises in the read-out system and a minimized torsion stiffness. In this article, a differential electrostatic system (DES) is proposed where both previous two conditions are met. We also consider the effect of the asymmetry γ of the DES in the GIS that is limited by the manufacturing technology of the sensor and hence making it difficult to reduce further. We propose an alternative compensation of this asymmetry by introducing additional sources of electric field. It is shown that any inaccuracy in this compensation will lead to inaccuracy of the sensor and can violates it stability. Based on open public literature, this is the first time where it is possible to ascertain the torsion stiffness reduction limits for such a sensor.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.024
      Issue No: Vol. 116 (2017)
       
  • Estimation of mechanical property degradation of poly(lactic acid) and
           flax fibre reinforced poly(lactic acid) bio-composites during thermal
           processing
    • Authors: Hossein Mohammad Khanlou; Peter Woodfield; John Summerscales; Gaston Francucci; Benjamin King; Sepehr Talebian; Javad Foroughi; Wayne Hall
      Pages: 367 - 372
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Hossein Mohammad Khanlou, Peter Woodfield, John Summerscales, Gaston Francucci, Benjamin King, Sepehr Talebian, Javad Foroughi, Wayne Hall
      Thermal degradation and chemical degradation are among the key issues affecting mechanical properties and ultimately utilization of natural fibre reinforced polymer (NFRP) bio-composites. In our previous work, mathematical models were used to identify thermal processing boundaries and to recognize an optimized window for NFRP bio-composites. In this study, a correlation relating the tensile strength of flax/PLA bio-composite to the processing temperature history is proposed. For the first time, an existing linear model, which corresponds to the tensile strength of natural polymers and their degree of polymerization, has been combined with reaction kinetics to predict the tensile strength of NFRP bio-composites as a function of processing temperature history. In addition, a non-linear model has been proposed which shows a significant improvement for longer periods of time, compared with the linear model. The model is based on the underlying thermo-chemical degradation processes occurring during manufacture of NFRP bio-composites. The model is capable of predicting the tensile strength of the bio-composite within 10% error.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.031
      Issue No: Vol. 116 (2017)
       
  • A new method in measuring the velocity profile surrounding a fence
           structure considering snow effects
    • Authors: Keqin Yan; Tao Cheng; Yi Zhang
      Pages: 373 - 381
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Keqin Yan, Tao Cheng, Yi Zhang
      In this paper, a new method is proposed to measure the air velocity profile around a fence structure with consideration of snow effects. This includes the consideration of snow particle size and its distribution. In this method, a simple wind tunnel powered by a fan was utilized to generate the wind for outdoor test. Considering drifting snow particles might cause damage to the equipment, different materials with different surface roughness height are introduced to simulate the influence of drifting snow particles on boundary layer of velocity profile. According to the test and analysis, the materials with 0.1 –3 cm surface roughness height can adequately characterize the effect of drifting snow particles on boundary layer of velocity profile. The snow depth distribution measured in this study agrees well with the reference value reported in the previous research. The measurement method proposed in this paper can be employed for further snow drifting tests while the wind tunnel is not needed in the experiment.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.032
      Issue No: Vol. 116 (2017)
       
  • Design and simulation of a lithium-ion battery at large C-rates and
           varying boundary conditions through heat flux distributions
    • Authors: S. Panchal; I. Dincer; M. Agelin-Chaab; R. Fraser; M. Fowler
      Pages: 382 - 390
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): S. Panchal, I. Dincer, M. Agelin-Chaab, R. Fraser, M. Fowler
      In this paper, the heat flux distributions on a prismatic lithium-ion battery at 1C, 2C, 3C and 4C discharge rates under various operating temperatures and boundary conditions (BCs) of 22 °C for air cooling and 5 °C, 15 °C, and 25 °C for water cooling are presented. The goal is to provide significant quantitative data on the thermal behaviour of lithium-ion batteries. In this regard, a battery thermal management system with water cooling is designed and developed for a 20 Ah capacity pouch type lithium-ion battery using dual cold plates. Three heat flux sensors are placed at different locations on the principle surface of the battery: the first near the anode, the second near the cathode, and the third at the mid surface of the body. From these the average and peak heat flux values are obtained and presented in this study. In addition to this, the heat flux and voltage distributions are simulated using the neural network approach with the above mentioned discharge rates and BCs. The present results show that increased discharge rates and decreased operating temperature result in increased heat fluxes at the three locations as experimentally measured. Furthermore, the sensors nearest the electrodes (anode and cathode) measured the heat fluxes (and hence temperatures) higher than the sensors located at the center of the battery surface.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.038
      Issue No: Vol. 116 (2017)
       
  • A novel fault diagnosis method for lithium-Ion battery packs of electric
           vehicles
    • Authors: Xiaoyu Li; Zhenpo Wang
      Pages: 402 - 411
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Xiaoyu Li, Zhenpo Wang
      This paper focuses on fault detection based on interclass correlation coefficient (ICC) method for guaranteeing safe and reliable of electric vehicles (EVs). The proposed method calculates ICC values by capturing the off-trend voltage drop and the voltages are extracted from Service and Management Center of electric vehicles. The ICC value is employed to analyze battery fault by ICC principle. The ICC value not only has advanced fault resolution by amplifying the voltage difference, but also can prolong the fault memory by setting moving windows. Moreover, a loop joints the first and last voltages is designed to locate faults in battery pack. In addition, simulation and experiment are employed to validate and analyze the voltage faults. Based on the simulation verification, the appropriate size of moving windows is set to ensuring sensitivity of fault detection method. The experiment results indicate the method can appropriately detect fault signals for EVs.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.034
      Issue No: Vol. 116 (2017)
       
  • Comparisons of novel modeling techniques to analyze thermal performance of
           unglazed transpired solar collectors
    • Authors: Saliha Erenturk; Koksal Erenturk
      Pages: 412 - 421
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Saliha Erenturk, Koksal Erenturk
      In order to evaluate different modeling techniques for Unglazed Transpired Collectors (UTC), not only mathematical modeling method for UTC based on heat transfer expressions to estimate the various heat transfer coefficients for the UTC components and empirical relationship, but also grey modeling (GM) approach, Artificial Neural Networks (ANN) and Adaptive Network based Fuzzy Inference System (ANFIS) methods have been designed and introduced, in this study. Thermal performance experiments of UTC have been carried out on an optimized experimental setup. Firstly, obtained experimental results have been compared with the mathematical model. To constitute a common point, output temperature of the UTC has been selected as the output variable. Secondly, the GM(1,1) approach has been used to forecast the output temperature with higher accuracy with the aid of simple mathematical equations. Then, an ANN has been designed to estimate the output temperature using measured inputs variables. Next, ANFIS has been designed and used to predict the output temperature. Finally, obtained results have been compared and comparison results have been illustrated in both graphical and tabular form. GM(1,1) is the simplest method to forecast the output temperature with high accuracy, while ANFIS technique will be the best solution to predict the output temperature.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.033
      Issue No: Vol. 116 (2017)
       
  • Wind tunnel measurement of small values of rolling moment using
           six-component strain gauge balance
    • Authors: Abdelwahid Boutemedjet; Marija Samardžić; Dušan Ćurčić; Zoran Rajić; Goran Ocokoljić
      Pages: 438 - 450
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Abdelwahid Boutemedjet, Marija Samardžić, Dušan Ćurčić, Zoran Rajić, Goran Ocokoljić
      An experimental investigation was conducted to determine the accuracy of the rolling moment measurement in wind tunnel tests. The test was done in a high Reynolds number blowdown wind tunnel in subsonic, transonic and supersonic speed regimes. The rolling moment was measured on a missile model using an internal six-component monoblock strain gauge balance. The balance rolling moment element was designed as a five-bar cage measuring element. The expected rolling moment values in the test were significantly less than the balance rolling moment measuring element full scale. To check the accuracy of the balance measurement, a sensitive one-component transducer was designed and manufactured. In the first phase of the wind tunnel test, rolling moment was simultaneously measured using the balance and the sensitive transducer. Experimental data obtained using the balance was compared with those obtained by the transducer. It is shown that the balance data agree very well with the sensitive one-component transducer data.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.043
      Issue No: Vol. 116 (2017)
       
  • Operational modal analysis and fatigue life estimation of a chisel plow
           arm under soil-induced random excitations
    • Authors: Reza Ebrahimi; Hamid Reza Mirdamadi; Saeed Ziaei-Rad
      Pages: 451 - 457
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Reza Ebrahimi, Hamid Reza Mirdamadi, Saeed Ziaei-Rad
      Chisel plow is an important implement for primary tillage when the soil is dry and firm. In this research, fatigue life of a prototype of chisel plow arm under soil induced random excitation is analyzed. For this purpose, first, the field test is carried out on the chisel plow arm under soil-induced random excitations and operational modal analysis of the chisel plow arm is performed using stochastic subspace identification approach. In addition, a finite element model is constructed and successfully validated by stochastic subspace identification results. Then, the validated finite element model and power spectral density results of the measured random responses are used to achieve a process of the Mises stress in the arm needed for fatigue analysis. Finally, the fatigue life estimation of chisel plow arm is carried out in frequency domain using Wirsching-Light and Dirlik methods for different values of geometrical variables. The results of operational modal analysis demonstrate the possibility of identifying modal model of chisel plow arm in its operating condition on a basis of output-only data and the results of fatigue life estimation show that Wirsching-Light method provides a marginally safer prediction for chisel plow.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.020
      Issue No: Vol. 116 (2017)
       
  • Monitoring acid-base, precipitation, complexation and redox titrations by
           a capacitively coupled contactless conductivity detector
    • Authors: Xuzhi Zhang; Mengshi Huang; Jun Zhao; Jingquan Liu; Wenrong Yang; Keming Qu
      Pages: 458 - 463
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Xuzhi Zhang, Mengshi Huang, Jun Zhao, Jingquan Liu, Wenrong Yang, Keming Qu
      Herein, an approach for versatile titration by monitoring the chemical reaction process with a developed capacitively coupled contactless conductivity detector (C4D) was developed. A disposable glass reaction cell, in which sub-milliliter titrand was loaded, was inserted into the working head stage of the C4D. Upon addition of titrant, the ionic strength and/or mobility of components in the solution changed, causing consequently change of conductivity. The C4D monitored the change in real time. A V-shaped titration curve was gained, allowing an easy identification of the endpoint. Between the elapsed time and the initial concentration of titrand, linear relationships were found for classical acid-base, precipitation, complexation and redox reaction over certain ranges, enabling the establishment of quantitative determinations. The new approach had a few charming advantages (e.g. simplicity and cost effectiveness) over contact electrochemical methods because that the solution was isolated from the working electrodes. Therefore, a development of versatile and multifunctional platform for micro-titrations is promising.
      Graphical abstract image

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.025
      Issue No: Vol. 116 (2017)
       
  • GPS/BDS relative positioning assessment by zero baseline observation
    • Authors: Xu Tang; Gethin Wyn Roberts; Craig Matthew Hancock; Jianjun Yu
      Pages: 464 - 472
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Xu Tang, Gethin Wyn Roberts, Craig Matthew Hancock, Jianjun Yu
      A lot of researches proved integration of GPS and BDS could improve the position precision, since the Chinese BDS was opened to the Asia-Pacific users. Does this improvement come from better geometry by combining GPS/BDS or more precise measurement applied' The studies which have been focused on could be summarized in: how the integration system improved the reality ambiguity resolution; the advantage of integration by enhance the number of tracked satellites during high cut-off elevation, etc. In this paper, zero baseline observation was employed to assess the GPS/BDS standalone and integration system positioning precision without the effection of multipath, ionospheric and tropospheric delays, etc. DOP was used a lot to assess the geometry of GNSS satellites from previous research. GNSS positioning precision is not only determined by the precision of measurement, but also satellites geometry. This study presents the position error amplify indicator and variance amplify indicator to assess the geometry and carrier phase measurement contributions for the position precision improvement in GPS/BDS standalone and integration system applications. Additionally, difference level of random noise were simulated based on the real carrier phase measurements. North, east and up component of GPS/BDS standalone and integration systems’ position precision reduced by the increased noise of simulated measurement, but have different characteristic.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.10.022
      Issue No: Vol. 116 (2017)
       
  • Development of more accurate discharge coefficient prediction equations
           for rectangular side weirs using adaptive neuro-fuzzy inference system and
           generalized group method of data handling
    • Authors: Isa Ebtehaj; Hossein Bonakdari; Bahram Gharabaghi
      Pages: 473 - 482
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Isa Ebtehaj, Hossein Bonakdari, Bahram Gharabaghi
      A rectangular side weir is a hydraulic structure commonly utilized all around the world in urban stormwater and wastewater sewer networks and in irrigation drainage systems to deviate excessive flow passing through the main channel. In this study, a genetic algorithm (GA) is employed to identify the best selection of adaptive neuro-fuzzy inference system (ANFIS) membership functions and the evolutionary design of a generalized group method of data handling (GMDH) structure for prediction of the side weir discharge coefficient. Moreover, the Singular Value Decomposition (SVD) method is applied to calculate the linear parameters of the ANFIS results and linear coefficient vectors in GMDH (ANFIS-GA/SVD and GMDH-GA/SVD). The side weir dimensionless length, Froude number, the ratio of weir height to upstream flow depth, and the ratio of weir length to upstream flow depth serve as inputs to the ANFIS-GA/SVD and GMDH-GA/SVD models to forecast the discharge coefficient. We compared the results of these multi-objective methods with the single-objective methods and found that the multi-objective methods are superior regarding accuracy. Sensitivity analysis is also carried out to determine the impact of each parameter on discharge coefficient estimation. ANFIS-GA/SVD outperformed ANFIS-GA, GMDH-GA/SVD, GMDH-GA and existing regression-based and machine learning-based equations. The uncertainty analysis is also carried out to assess the quantitative performance of all models. The results indicate that the uncertainty width for the best model (ANFIS-GA/SVD) is ±0.0067.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.023
      Issue No: Vol. 116 (2017)
       
  • Broadband acoustic local positioning system for mobile devices with
           multiple access interference cancellation
    • Authors: Teodoro Aguilera; Fernando Seco; Fernando J. Álvarez; Antonio Jiménez
      Pages: 483 - 494
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Teodoro Aguilera, Fernando Seco, Fernando J. Álvarez, Antonio Jiménez
      This paper presents an Acoustic Local Positioning System (ALPS) suitable for indoor localization of mobile devices, based on the transmission of high frequency Code Division Multiple Access (CDMA) audio signals from a fixed beacon network to a tablet computer. The system permits positioning of the device (and the user carrying it) within a few centimeters, which is accurate enough for most location-based applications. It also implements a CDMA scheme for localization, including compensation for the limited transmission frequency band of the sensors which causes Intersymbol Interference (ISI), as well as Multiple Access Interference (MAI) between the different beacons. Signal reception, processing and estimation of position all take place within the tablet, operating at real time and with an update rate of 2 Hz. Experimental results show that the MAI/ISI compensation algorithm increase both the system’s robustness (availability ⩾ 90%) and accuracy (errors ⩽ 10 cm) under adverse circumstances such as near-far effect or noisy conditions.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.046
      Issue No: Vol. 116 (2017)
       
  • Experimental and numerical modelling of mechanical properties of 3D
           printed honeycomb structures
    • Authors: Biranchi Panda; Marco Leite; Bibhuti Bhusan Biswal; Xiaodong Niu; Akhil Garg
      Pages: 495 - 506
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Biranchi Panda, Marco Leite, Bibhuti Bhusan Biswal, Xiaodong Niu, Akhil Garg
      In recent years, 3-D printing experts have laid emphasis on designing and printing the cellular structures, since the key advantages (high strength to weight ratio, thermal and acoustical insulation properties) offered by these structures makes them highly versatile to be used in aerospace and automotive industries. In the present work, an experimental study is firstly conducted to study the effects of the design parameters (wall thickness and cell size) on the mechanical properties i.e yield strength and modulus of elasticity (stiffness) of honeycomb cellular structures printed by fused deposition modelling (FDM) process. Further, three promising numerical modelling methods based on computational intelligence (CI) such as genetic programming (GP), automated neural network search (ANS) and response surface regression (RSR) were applied and their performances were compared while formulating models for the two mechanical properties. Statistical analysis concluded that the ANS model performed the best followed by GP and RSR models. The experimental findings were validated by performing the 2-D, 3-D surface analysis on formulated models based on ANS.

      PubDate: 2017-12-11T13:17:18Z
      DOI: 10.1016/j.measurement.2017.11.037
      Issue No: Vol. 116 (2017)
       
  • The device to measuring of the load angle for salient-pole synchronous
           machine in education laboratory
    • Authors: Peter
      Abstract: Publication date: February 2018
      Source:Measurement, Volume 116
      Author(s): Ján Kaňuch, Peter Girovský
      This paper presents information about a new device for measuring the synchronous machine load angle in laboratory conditions using the optical encoder. The prototype device is used in education for practical measuring exercises in the study course of electrical machines. Described in the article is block diagram of the measuring device. The operation principle of the device and the measurement principle of load angle of the synchronous machine presents a subject of the article, too. Moreover, the device evaluates operating mode (motor or generator) of the synchronous machine.
      Graphical abstract image

      PubDate: 2017-11-10T09:59:31Z
       
 
 
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