TXT

This dataset includes  the Channels Switch Sequences of 300 IPTV viewers in Guangzhou, P.R. China, in Augest, 2014.

There are 4 columns in the file, which represent viewer ID, the current channel number, th next channel number, the date of the month, respectively.

The first column, the ID code of a viewter, ranks with the times the viewer watched tv channels. The more times a viewer watches tv channels, the bigger

the ID is. In a day, the rows are time series and generated step by step as the real watching tv behavior. 

 

 

 

 

69 views
  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    This table summarizes the results of our search of topics/categories on ACM DL and IEEE Xplore and lists the earliest relevant publication found in each topic/category along with the title, authors, direct links, and venue and/or remarks as appropriate.

    155 views
  • Other
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    The system obtained interference information from the measurement signal, solved the problem of phase wrapping, and got the accurate coordinates of target. The tags and tag-free items including shrimp chips, cola and instant noodles were taken as target respectively in experiment.

    215 views
  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    RSSI-Dataset

    The RSSI-Dataset provides a comprehensive set of Received Signal Strength Indication (RSSI) readings from within two indoor office buildings. Four wireless technologies were used:

    • Zigbee (IEEE 802.15.4),
    • WiFi (IEEE 802. 11),
    • Bluetooth Low Energy (BLE) and
    • Long Range Area-Wide Network (LoRaWAN).

    For experimentation Arduinos Raspberry Pi, XBees, Gimbal beacons Series 10 and Dragino LoRa Shield were also used.  

    503 views
  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

     

    This repository aims to publish a sEMG database for hand gesture recongnition, which is suitable for intra-session, inter-session, inter-day and inter-subject tests. Six subjects were involved in data collection on ten days, and two sessions a day with the interval of half an hour. In each session, one trial (10 secondes) for each geature was conducted. The electrode sleeve did not reweared between two sessions in a day. The utilised sEMG device was customised by the Intelligent System and Biomedical Robotics Group, which was discussed in [1]. 

     

    180 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    # ISRMyo-I: A Database for sEMG-based Hand Gesture Recognition

     

    ## Introduction

    102 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    Machine learning is becoming increasingly important for companies and the scientific community. It allows us to generate solutions for several problems faced by society. In this study, we perform a science mapping analysis on the machine learning research, in order to provide an overview of the scientific work during the last decade in this area and to show trends that could be the basis for future developments in the field of computer science. This study was carried out using the CiteSpace and SciMAT tools based on results from Scopus and Clarivate Web of Science.

    1013 views
  • Computational Intelligence
  • Last Updated On: 
    Tue, 11/12/2019 - 10:38

    The dataset is an extensive collection of labeled high-frequency Wi-Fi Radio Signal Strength (RSS) measurements corresponding to multiple hand gestures made near a smartphone under different spatial and data traffic scenarios. We open source the software code and an Android app (Winiff) to create this dataset, which is available at Github (https://github.com/mohaseeb/wisture). The dataset is created using an artificial traffic induction (between the phone and the access point) approach to enable useful and meaningful RSS value

    460 views
  • Communications
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    This dataset contains citation dynamics of individual papers published in several journals including ACM, Cell, IEEE, Nature, Science, NEJM, PNAS, Physical Review (PR), PRL. Each txt file contains citation dynamics (up to 2014) of papers published in a particular journal in a particular year. For example, ieee1985.txt contains citation dynamics of papers published in IEEE in 1985. Note that the citation counts of year 2014 are incomplete as this dataset was collected in summer 2014.

    210 views
  • Other
  • Last Updated On: 
    Tue, 03/10/2020 - 11:29

    The dataset stores a random sampling distribution with cardinality of support of 4,294,967,296 (i.e., two raised to the power of thirty-two). Specifically, the source generator is fixed as a symmetric-key cryptographic function with 64-bit input and 32-bit output. A total of 17,179,869,184 (i.e., two raised to the power of thirty-four) randomly chosen inputs are used to produce the sampling distribution as the dataset. The integer-valued sampling distribution is formatted as 4,294,967,296 (i.e., two raised to the power of thirty-two) entries, and each entry occupies one byte in storage.

    415 views
  • Digital signal processing
  • Last Updated On: 
    Sat, 06/16/2018 - 23:18

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