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Journal Cover Measurement and Control
  [SJR: 0.194]   [H-I: 17]   [36 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0020-2940
   Published by Sage Publications Homepage  [852 journals]
  • Commercial News
    • Pages: 168 - 168
      PubDate: 2016-07-26T02:42:49-07:00
      DOI: 10.1177/0020294016659430
      Issue No: Vol. 49, No. 6 (2016)
  • Message from the new Chief Executive
    • Pages: 169 - 169
      PubDate: 2016-07-26T02:42:49-07:00
      DOI: 10.1177/0020294016659605
      Issue No: Vol. 49, No. 6 (2016)
  • Vantage Technology
    • Pages: 170 - 170
      PubDate: 2016-07-26T02:42:49-07:00
      DOI: 10.1177/0020294016659434
      Issue No: Vol. 49, No. 6 (2016)
  • London Section 49th Annual Dinner
    • Pages: 171 - 171
      PubDate: 2016-07-26T02:42:49-07:00
      DOI: 10.1177/0020294016659433
      Issue No: Vol. 49, No. 6 (2016)
  • Manchester and North-West News
    • Pages: 173 - 173
      PubDate: 2016-07-26T02:42:49-07:00
      DOI: 10.1177/0020294016659432
      Issue No: Vol. 49, No. 6 (2016)
  • 2016 Exhibition Advert
    • Pages: 174 - 174
      PubDate: 2016-07-26T02:42:49-07:00
      DOI: 10.1177/0020294016659435
      Issue No: Vol. 49, No. 6 (2016)
  • Elections and Transfers
    • Pages: 175 - 175
      PubDate: 2016-07-26T02:42:49-07:00
      DOI: 10.1177/0020294016659436
      Issue No: Vol. 49, No. 6 (2016)
  • Interface News
    • Pages: 176 - 182
      PubDate: 2016-07-26T02:42:49-07:00
      DOI: 10.1177/0020294016659437
      Issue No: Vol. 49, No. 6 (2016)
  • Short-Term Wind Speed Prediction Based on Artificial Neural Network Models
    • Authors: Kirbas, I; Kerem, A.
      Pages: 183 - 190
      Abstract: Wind energy has an important place in renewable energy sources. Biggest challenges in wind energy production are the variability of the wind and difficulty of estimation of true wind speed. In this study, 25,777 records have been taken from wind measurements carried out at Mehmet Akif Ersoy University campus. Records include meteorological data such as wind speed at different heights/altitudes, wind direction, temperature, pressure and humidity. In order to estimate the wind speed that may occur at 61 m altitude, multilayer perceptron and radial basis function methods have been used. During the application phase, 100 artificial neural networks were trained and performance evaluations of these networks were done. The obtained results show that the wind speed at 61 m can be estimated with 99% accuracy using artificial neural network when other meteorological data are taken as input.
      PubDate: 2016-07-26T02:42:49-07:00
      DOI: 10.1177/0020294016656891
      Issue No: Vol. 49, No. 6 (2016)
  • A Circuit Design by Using an Infrared Sensor Transmitter and Pic16f628 to
           Measure the Pulse Rate of the Driver
    • Authors: Buldu, A; Yildiz, K.
      Pages: 191 - 196
      Abstract: This study involves a circuit which is made in order to prevent traffic accidents caused by tiredness of the driver and sleepiness. Infrared light emitting diode and infrared phototransistor are used to track driver’s body values during vehicle driving. The pulse value, which can increase or decrease directly proportional to the heart rate, can be controlled with the help of this infrared light emitting diode and infrared phototransistor. Peripheral interface controller is used in the construction of the system. The blood pressure was transformed to an electronic signal with infrared receiver and infrared transmitter by checking the heartbeats. This electronic signal was processed with peripheral interface controller and the system was constructed. In application, the pulse rate of the driver is continuously measured, and these values are shown on a small display permanently. It is installed on a portable steering wheel which can be used in the automotive industry. The process of waking the driver up can be made by raising the voice of music and with the vibration of the seat.
      PubDate: 2016-07-26T02:42:49-07:00
      DOI: 10.1177/0020294016646804
      Issue No: Vol. 49, No. 6 (2016)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
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