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2021 ITU Kaleidoscope Academic Conference




           rate of 0.5, a 16–filter 2D convolution layer, a dropout layer       REFERENCES
           with a rate of 0.7, and a flatten layer at the end. Each layer is
           significant in its own way.                          [1] Medicines  for  Malaria   Venture:
                                                                  https://www.mmv.org/newsroom/image-
           The model’s output layer provides three options: Anopheles,  slideshows/world-mosquito-day-2020
           Aedes, or Culex. This output is based on how the model
                                                               [2] Vector-borne  diseases:   https://www.who.int/
           has processed the input audio signal. Model compares the
                                                                  news-room/fact-sheets/detail/vector-borne-diseases
           features of the input audio to those of the data used in training.
           If the input signal fits into one of these three categories, the  [3] Caraballo   H,   King   K.   Emergency   department
           model has an accuracy of 88.3 percent in predicting the type  management  of  mosquito-borne  illness:   malaria,
           of mosquito. The Arduino is programmed to display a picture  dengue,  and  West  Nile  virus.  Emerg  Med  Pract.  2014
           of the detected/predicted mosquito along with its name on the  May;16(5):1-23;  quiz  23-4.  PMID:  25207355.
           OLED screen.                                           https: //pubmed.ncbi.nlm.nih.gov/25207355/
           The following is an image of the developed prototype, which
           displays the binary image of the mosquito upon detection.  [4] Regional Committee for Europe, 68th session. (2018).
                                                                  Sixty-eighth  Regional  Committee  for  Europe:  Rome,
                                                                  17–20  September  2018:   implementation  of  the
                                                                  Regional  Framework  for  Surveillance  and  Control
                                                                  of  Invasive  Mosquito  Vectors  and  Re-emerging
                                                                  Vector-borne  Diseases  2014–2020:  lessons  learned
                                                                  and  the  way  forward.  World  Health  Organization.
                                                                  Regional  Office  for  Europe.  https://apps.who.int/iris/
                                                                  handle/10665/338986
                                                               [5] Larsen  JR,  Ashley  RF.  Demonstration  of  Venezuelan
                                                                  equine  encephalomyelitis  virus  in  tissues  of  Aedes
                                                                  Aegypti. Am J Trop Med Hyg. 1971 Sep;20(5):754-60.
                                                                  doi:  10.4269/ajtmh.1971.20.754. PMID: 5106526.
                                                               [6] Malaria:  https://www.who.int/news-room/fact-sheets/
                                                                  detail/malaria
           Figure  13  –  Prototype  displaying  the  binary  image  of   [7] Steven  Lehrer,  Anopheles  mosquito  transmission  of
                                mosquito                          brain  tumor,  Medical  Hypotheses,  Volume  74,  Issue
                                                                  1,  2010,  Pages  167-168,  ISSN  0306-9877,
                                                                  https://doi. org/10.1016/j.mehy.2009.07.005
                           4. LIMITATIONS
                                                               [8] Mosquito-Borne  Diseases:   https://www.bcm.edu/
           The limitations of the proposed solution are:  (1) The sound
           of  a  mosquito  or  its  wing  beat  is  very  low  in  amplitude   departments/molecular-virology-and-microbiology/
                                                                  emerging-infections-and-biodefense/mosquitoes
           and  cannot  be  identified  b y  t he  d evice  u ntil  i t  i s  c lose  to
           the  Arduino  Nano  33  BLE  board’s  microphone.   (2)  To   [9] Mukundarajan  H,  Hol  FJH,  Castillo  EA,  Newby  C,
           adequately  listen  to  mosquito  wing  beats,  the  surrounding   Prakash  M.  Using  mobile  phones  as  acoustic  sensors
           environment must be quite quiet.                       for high-throughput mosquito surveillance. Elife. 2017
           One  of  these  drawbacks  can  be  addressed  by  designing   Oct  31;6:e27854.  doi:  10.7554/eLife.27854.  PMID:
           an  application–specific  microphone  that  responds  solely  to   29087296; PMCID: PMC5663474.
           mosquito wing beats and ignores other frequencies.
                                                              [10] Marcelo  Schreiber  Fernandes,  Weverton  Cordeiro,
                                                                  Mariana   Recamonde-Mendoza,   Detecting   Aedes
                           5. CONCLUSION
                                                                  aegypti  mosquitoes  through  audio  classification
           The goal of this study and experiment was to determine the   with  convolutional  neural  networks,   Computers
           type of mosquito in our surroundings just by listening to their   in  Biology  and  Medicine,  Volume  129,  2021,
           wing beats.  The type of mosquito may be recognized from   104152,  ISSN  0010-4825,  https://doi.org/10.1016/j.
           its wing beats using machine learning and Edge Impulse on   compbiomed.2020.104152
           a tiny embedded system made up of Arduino Nano 33 BLE
           Sense, based on the technique and approach described.  This   [11] Edge  Impulse  Documentation:
           discovery might be beneficial in identifying additional sorts of   https://docs.edgeimpulse.com/docs
           tiny yet hazardous insects and animals in our environment in
           the future.  It might be beneficial in identifying and protecting   [12] Douglas M. Hawkins Journal of Chemical Information
                                                                  and  Computer  Sciences  2004  44  (1),  1-12
           unknown or endangered and/or rare animal or bird species.
                                                                  https://doi. org/10.1021/ci0342472




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