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2021 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
Computing, Electronics & Mobile Communication Conference (UEMCON) | 978-1-6654-0690-1/21/$31.00 ©2021 IEEE | DOI: 10.1109/UEMCON53757.2021.9666620  ...  IEEE UEMCON 2021 2021 IEEE 12th Annual Ubiquitous  ... 
doi:10.1109/uemcon53757.2021.9666620 fatcat:kf4age44ubbnflwwp3ldepum3e

[Front cover]

2020 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
1 2 8 th -31st O ctober 202(1) I V NEW YORKjprSA ' j ■ VIRTUAL CONFERENCE . SPONSORS '  ... 
doi:10.1109/uemcon51285.2020.9298032 fatcat:gt43ilq24zf75jsfxfdbwughme

Table of contents

2018 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
Identity Application in a Ubiquitous Computing Environment 222-228 Multi-Robot Systems Operations 1570492363 Non-fragile Synchronization of Markovian Jumping 315-321 1570491863 An Electronic Instrument  ...  Switch Control Using Auditory and Haptic 1032-1037 842-846 1570489478 Biomedical Data Reduction with Sub Nyquist 929-933 Track 31 Wireless Communication and Mobile Computing Networks 836-841 1570492911  ... 
doi:10.1109/uemcon.2018.8796751 fatcat:rp2ptti5pzckfirdmwm6yao7wu

Table of contents

2020 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
24: MOBILE AND WIRELESS COMPUTING AND OTHERS 24.1 1570675623 Radio-Factor Authentication: Identity Management over the 900MHz Band 0713 24.2 1570681122 Prediction of Dengue Infected Areas  ...  Interaction 0554 SESSION 19 : ELECTRONIC INSTRUMENTATIONS 19.1 1570676428 EMG-Based Hand Gesture Recognition by Deep Time-Frequency Learning for Assisted Living & Rehabilitation 0558 19.2 1570669064  ... 
doi:10.1109/uemcon51285.2020.9298057 fatcat:p4v3pn2m2zaaxdgobcaw5db76m

Probabilistic sensor design for healthcare technology

Joseph Russell, Jeroen Bergmann
2019 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
In healthcare technology, failure to accurately detect a medical event, such as electromyographic (EMG) activity or the onset of a heart attack, could have serious consequences for the user. The application of sensor networks to optimize event detection is therefore a key area of biomedical engineering research. The optimum number of sensors for event detection can be difficult and time-consuming to determine experimentally. A novel probabilistic model could be used to estimate the appropriate
more » ... umber of sensors required and is described in this paper. A simple statistically independent model (naïve approach) is introduced, which may be useful but relies on a set of assumptions that do not reflect most real-world applications. From there, a more practical, revised model that can be more easily applied to real-life systems was developed. Both models were subsequently tested against experimental data from a real EMG system. While the naïve approach was practically unachievable, the model was found to be mathematically sound. Predictions from the models were compared and the revised model was found to be more accurate than the naïve model. The revised model was verified against a majority voting system and it successfully predicted sensor network performance with only a small margin of error. This work presents a probabilistic sensor network approach to virtually exploring possible networks and informing optimum design of sensor networks used in healthcare and industry. I.
doi:10.1109/uemcon47517.2019.8993086 dblp:conf/uemcom/RussellB19 fatcat:blvq52ulkvefbfdcoktdtn4eka

PAARS: Privacy Aware Access Regulation System

Md. Monowar Anjum, Noman Mohammed
2020 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
Moreover, we assume that all communications between the user U and the server S are securely authenticated (i.e. TLS).  ...  Thirdly, the system design should not allow any malicious adversary to gain access to the communication between entities within the system.  ... 
doi:10.1109/uemcon51285.2020.9298048 fatcat:xiemlxpw55f53ocd44wkv2rnka

Latent Walking Techniques for Conditioning GAN-Generated Music

Logan Eisenbeiser
2020 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
A perfect example would be CDs or electronic music files like mp3.  ...  Whatever the motivation, there is substantial interest in the field of AI music generation, both inside and outside the research community.  ... 
doi:10.1109/uemcon51285.2020.9298149 fatcat:bm3jvwdvebaetgkwnafvgxuuqe

PATH: Person authentication using trace histories

Upal Mahbub, Rama Chellappa
2016 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
Specifically, the task is to perform user verification on mobile devices using historical location traces of the user as a function of time.  ...  INTRODUCTION Recognizing human behavior and understanding user mobility from sensor data is an interesting and challenging problem in ubiquitous computing [28] , [33] .  ...  However, this dataset is not available for the research community due to privacy issues.  ... 
doi:10.1109/uemcon.2016.7777911 dblp:conf/uemcom/MahbubC16 fatcat:xskfgfbo2vc73dixx5fgbujysy

Epilepsy seizure detection using EEG signals

Zakareya Lasefr, Sai Shiva V N R Ayyalasomayajula, Khaled Elleithy
2017 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)  
EEG signal processing involves multiple algorithms in which epileptic data is received in the MATLAB environment and needs to be processed in order to obtain a perfectly filtered waveform and process it in both the time and frequency domain. In our work we have shown the EEG signal in the frequency domain using Fast Fourier Transform and its absolute value. Using Wavelet decomposition technique we divide the EEG signal into different sub-level bands then the lowest frequency sub-band was
more » ... d to perform feature extraction. Discrete Wavelet Transform (DWT) was applied and Vector Analysis was used for feature extraction and then we have used Inverse Discrete Fourier Transform to transform from frequency to time domain so that frequency analysis of the feature extracted EEG signal could fetch the best results. We have used the lowest frequency band possible between 1 and 3.45 Hz which could be the smallest possible in order to either classify a signal or to apply threshold and compare the results. In order to verify our work, we are comparing our results with some of the mostly used classifiers results even though classifiers do not show frequency analysis.
doi:10.1109/uemcon.2017.8249018 dblp:conf/uemcom/LasefrAE17a fatcat:r5p7bkbxgbcetakvcbvcfi2a6a

Using LZMA Compression for Spectrum Sensing with SDR Samples

Andre R. Rosete, Kenneth R. Baker, Yao Ma
2018 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
The algorithm is tested with computer-generated as well as SDR-captured samples of LTE signals.  ...  LZMA is a lossless, general-purpose data compression algorithm that is widely available on many computing platforms.  ...  Computer-Generated Signal Set Digital chain samples were generated in MATLAB™ , forming a fully computer-generated (CG) set, free of potential hardware artifacts.  ... 
doi:10.1109/uemcon.2018.8796574 dblp:conf/uemcom/RoseteBM18 fatcat:3pnqkrwyordjbdo4a3you3ne4m

A survey on the industrial readiness for Internet of Things

Xianping Wang, Hao Qiu, Fei Xie
2017 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)  
From people communication to objects communication, IoT takes the Internet to an evolution stage, a leap that will allow us to become more proactive and less reactive.  ...  The extending of the Internet and communication technology by linking it with smart sensors devices and physical objects is a growing trend known as the Internet of Things (IoT).  ...  In the next few years, the number of Internet users, which is increasing, is likely to be very small compared to the multitude of inanimate objects that can communicate with each other electronically.  ... 
doi:10.1109/uemcon.2017.8249015 dblp:conf/uemcom/WangQX17 fatcat:tjwo77wbp5fkldybmxgf5eyjym

Comparative evaluation of cyclostationary detection based cognitive spectrum sensing

Ikram Ilyas, Shuva Paul, Akhlaqur Rahman, Ripan Kumar Kundu
2016 2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
Paper (Work-in-Progress) -6 pages maximum (2 additional pages allowed but at an extra charge) Poster -5 pages maximum Regular papers should present novel perspectives within the general scope of the conference  ...  Paper (Work-in-Progress) -6 pages maximum (2 additional pages allowed but at an extra charge) Poster -5 pages maximum Regular papers should present novel perspectives within the general scope of the conference  ...  Special Section Name: Low Power Wireless Sensor Networks and Mobile Ad-hoc NetworksChaired and Organized by Nan Wang Ph.D., Associate Professor Lyles College of Engineering California State University,  ... 
doi:10.1109/uemcon.2016.7777887 dblp:conf/uemcom/IlyasPRK16 fatcat:frrnqn23vbcrbmrrylq6z64wuy

Office Multi-Occupancy Detection using BLE Beacons and Power Meters

Azkario Rizky Pratama, Alexander Lazovik, Marco Aiello
2019 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
We choose generic power meters and mobile phones. First, we classify beacon signals received by mobile phones into a room location.  ...  RELATED WORK Power meters and mobile phones are among ubiquitous devices available for monitoring modern energy buildings and supporting employees in a dynamic working environment.  ...  , (ii) present without computer work, (iii) remote computer work without being present, and (iv) absent, no computer work.  ... 
doi:10.1109/uemcon47517.2019.8993008 dblp:conf/uemcom/PratamaL019 fatcat:nfc7pttfpnf6vhk76y3jhuw44q

Interpretable Saab Subspace Network for COVID-19 Lung Ultrasound Screening

Dennis Hou, Raymond Hou, Janpu Hou
2020 2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
Since both training and inference can be done on-device, make it a potential solution to deliver personalized healthcare to underserved senior communities without any internet connection.  ...  There is a more urgent need for a simple and low cost portable ultrasound device for each elderly resident at risk in retirement communities and independent living facilities to monitor their lung conditions  ...  [1] Many community efforts were put in to understand the impact, risks and mitigation of such pandemics.  ... 
doi:10.1109/uemcon51285.2020.9298069 fatcat:gdeym7ah2femngnzkq2j2h537u

Enhancing sink node anonymity in tactical sensor networks using a reactive routing protocol

Thomas Haakensen, Preetha Thulasiraman
2017 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)  
Power-friendly communication protocols such as IEEE 802.15.4 are prime candidates for maintaining connectivity in WSNs.  ...  The IEEE 802.15.4 standard is a data link and physical layer protocol that provides communications between low-power devices [3] .  ... 
doi:10.1109/uemcon.2017.8249005 dblp:conf/uemcom/HaakensenT17 fatcat:jphysd7px5dczdyrl4aghrhkvu
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