This study was conducted in Mayaguez – Puerto Rico, and an area of around 18 Km2 was covered, which were determined using the following classification of places:

·         Main Avenues: Wide public ways that has hospitals, vegetation, buildings, on either side

·         Open Places: Mall parking lots and public plazas

·         Streets & Roads: Dense residential and commercial areas on both sides

     Vendor             Equipment                  Description      

KEYSIGHT®      N9343C                    Handheld Spectrum Analyzer

  • IoT
  • Last Updated On: 
    Sun, 10/27/2019 - 21:54

    7200 .csv files, each containing a 10 kHz recording of a 1 ms lasting 100 hz sound, recorded centimeterwise in a 20 cm x 60 cm locating range on a table. 3600 files (3 at each of the 1200 different positions) are without an obstacle between the loudspeaker and the microphone, 3600 RIR recordings are affected by the changes of the object (a book). The OOLA is initially trained offline in batch mode by the first instance of the RIR recordings without the book. Then it learns online in an incremental mode how the RIR changes by the book.

  • Artificial Intelligence
  • Last Updated On: 
    Mon, 11/04/2019 - 07:37

    Real sampled data of a moving vehicle is provided.

  • Sensors
  • Last Updated On: 
    Sat, 02/22/2020 - 10:27

    Multi-modal Exercises Dataset is a multi- sensor, multi-modal dataset, implemented to benchmark Human Activity Recognition(HAR) and Multi-modal Fusion algorithms. Collection of this dataset was inspired by the need for recognising and evaluating quality of exercise performance to support patients with Musculoskeletal Disorders(MSD).The MEx Dataset contains data from 25 people recorded with four sensors, 2 accelerometers, a pressure mat and a depth camera.

  • Computer Vision
  • Last Updated On: 
    Tue, 10/01/2019 - 10:57

    WiFi measurements dataset for WiFi fingerprint indoor localization compiled on the first and ground floors of the Escuela Técnica Superior de Ingeniería Informática, in Seville, Spain. The facility has 24.000 m² approximately, although only accessible areas were compiled.

  • Communications
  • Last Updated On: 
    Tue, 09/10/2019 - 08:49

    Herein we present a multi-threshold-based constant micro-increment control strategy to detect and suppress the slip for the prosthetic hand, and to minimize the loading force increment after the stabilization. The proposed strategy primarily encompasses slipping process model, multi-threshold detection method, constant micro-increment controller and a preset filter. First and foremost, a slipping process model is proposed that involves the nonlinear and noise characteristics of the system.

  • Sensors
  • Last Updated On: 
    Tue, 09/10/2019 - 04:30

    The videos demonstrate 2D thermal gradient mappings based on two pairs of 50 µm x- an y- thin film thermocouple (TFTC) sensors. We investigate thin film thermocouples (TFTC) asthermal gradient sensors at the micro-scale and demonstrate two-dimensional dynamic thermal gradient mapping for features as small as 20 μm. Pairs of x-direction and y-direction thermocouples sense the thermal gradient while another calibrates the Seebeck coefficient as S = 20.33±0.01μV/K. The smallest detectable temperature difference is 10 mK, and the sensitivity is 0.5 mK/μm.

  • Sensors
  • Last Updated On: 
    Thu, 09/05/2019 - 17:32

    Abstractــــ Wireless Sensor Networks (WSNs) typically have been consumed high energy in monitoring and radio communication trends. Furthermore, data diffusion modes in WSN typically generate errors such as noisy values, incorrect measurements or missing information, which minimize the standard of performance in such dynamic systems.

  • Energy
  • Last Updated On: 
    Sun, 09/01/2019 - 06:38

    Indoor positioning systems based on radio frequency systems such as UWB inherently present multipath related phenomena. This causes ranging systems such as UWB}to lose accuracy by detecting secondary propagation paths between two devices. If a positioning algorithm uses ranging measurements without considering these phenomena, it will make important errors in estimating the position. This work analyzes the performance obtained in a localization system when combining location algorithms with machine learning techniques for a previous classification and mitigation of the propagation effects.

  • Sensors
  • Last Updated On: 
    Sun, 02/02/2020 - 16:40


  • Sensors
  • Last Updated On: 
    Wed, 08/07/2019 - 10:30