2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)最新文献_第3页

Moving Recursion Out of the RDBMS for Transactional Graph Workloads 将递归移出事务性图工作负载的RDBMS

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298122

Christine F. Reilly, M. Clark

引用次数: 0

Eldercare Robotics - Alexa 老年护理机器人- Alexa

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298147

Eunseo Lee, Gregg Vesonder, Elijah Wendel

引用次数: 4

Reusable Spiking Neural Network Architecture 可重用脉冲神经网络架构

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298094

Sai Pavan, B. Kailath

{"title":"Reusable Spiking Neural Network Architecture","authors":"Sai Pavan, B. Kailath","doi":"10.1109/UEMCON51285.2020.9298094","DOIUrl":"https://doi.org/10.1109/UEMCON51285.2020.9298094","url":null,"abstract":"The paper describes a full-fledged digital hardware implementation of Spiking Neural Network (SNN) architecture on a Field Programmable Gate Array (FPGA) and is focused on proposing a solution to reuse the same SNN for various applications for optimal hardware. This brain-inspired Neuromorphic computing approach to solve various problems has got a lot of potential and benefits. The accurate implementation of spiking neuron models occupies lot of hardware. Designing multiple SNNs for solving various applications is not seen as an ideal approach for implementation which is the key issue addressed in this work. Reusable architecture is proposed as a solution to this issue. The goal of this work is to demonstrate this reusability aspect to reduce the hardware usage by applying the same SNN to two different applications of gesture controlled robotic arm and pattern recognition. The entire hardware designing is done in Very High-Speed Integrated Circuit Hardware Description Language and simulated in ModelSim RTL simulator. The tool used for performing synthesis is Intel Quartus Prime. It has been demonstrated that the number of neurons and the hardware resource utilization required in the proposed dual application SNN framework is much less than the same for the reported works intended for single application.","PeriodicalId":433609,"journal":{"name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"251 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133527219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LTEOC: Long Term Energy Optimization Clustering For Dynamic IoT Networks LTEOC:动态物联网网络的长期能量优化聚类

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298030

Mohamed Sofiane Batta, Z. Aliouat, H. Mabed, S. Harous

{"title":"LTEOC: Long Term Energy Optimization Clustering For Dynamic IoT Networks","authors":"Mohamed Sofiane Batta, Z. Aliouat, H. Mabed, S. Harous","doi":"10.1109/UEMCON51285.2020.9298030","DOIUrl":"https://doi.org/10.1109/UEMCON51285.2020.9298030","url":null,"abstract":"Mobile traffic is expected to grow by 30% by 2024, saving energy is a crucial necessity even for battery-powered devices such as smartphones for the sake of green computing. Clustering techniques were introduced to conserve the energy of network devices. However, proposed energy optimization techniques do not yield optimal battery life, they mostly consider devices with non-rechargeable batteries and deal with limited energy without considering battery aging (short-term vision). To this end, we focus on the long-term energy optimization and we introduce a dynamic clustering technique that take into consideration the state of health of devices batteries and their degradation level. The proposed scheme efficiently manages the energy resource to enhance the battery behavior which extends the network lifespan in the long term.Simulations results show that the proposed approach out-performs similar works available in the current literature. The batteries life cycle and the network lifetime are improved by 38% and 47% respectively. The average number of generated clusters is reduced by 39%.","PeriodicalId":433609,"journal":{"name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133157449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Crowdsensing Strategies Inspired by Choir Management Analyzed via Game Theory 从博弈论分析合唱团管理的众筹策略

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298052

L. Badia, Nunzio Borra

引用次数: 0

Modified PHY Layer for High Performance V2X Communication using 5G NR 基于5G NR的高性能V2X通信改进物理层

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298144

U. K. Dey, R. Akl, Robin Chataut, Mohammadreza Robaei

{"title":"Modified PHY Layer for High Performance V2X Communication using 5G NR","authors":"U. K. Dey, R. Akl, Robin Chataut, Mohammadreza Robaei","doi":"10.1109/UEMCON51285.2020.9298144","DOIUrl":"https://doi.org/10.1109/UEMCON51285.2020.9298144","url":null,"abstract":"People are increasingly relying on vehicular communities for a more safe and comfortable day-to-day car journey. So, expectation from vehicular technology is increasing more from time to time. As a result, vehicular technology is expected to support infotainment services to the traveler. Hence, the requirements for entertainment services need extra capacity along with safety services. One of the important pieces in the channel capacity is throughput. The existing IEEE 802.11p standard with the support of Dedicated Short Range Communication (DSRC) might not fulfill the required capacity in the coming days. To achieve that required throughput DSRC protocol needs to evolve. However, Multiple Input Multiple Output (MIMO) and 5G NR has the potential to improve throughput while maintaining the existing PHY layer specifications defined in the Wireless Access for Vehicular Environments (WAVE) standard. We propose a modified PHY layer of the DSRC protocol to integrate MIMO and 5G NR to enhance the existing data rate. Our experimental results show that the combination of MIMO and 5G NR can boost the throughput to 6.5 times better compared to MIMO enabled existing framework while keeping the BER (Bit Error Rate) as the same or in some cases below the combination of MIMO and DSRC.","PeriodicalId":433609,"journal":{"name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124559297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Non-Orthogonal Multiple Access for Terahertz Communication Networks 太赫兹通信网络的非正交多址

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298080

Oguz Ülgen, Serhat Erküçük, T. Baykaş

{"title":"Non-Orthogonal Multiple Access for Terahertz Communication Networks","authors":"Oguz Ülgen, Serhat Erküçük, T. Baykaş","doi":"10.1109/UEMCON51285.2020.9298080","DOIUrl":"https://doi.org/10.1109/UEMCON51285.2020.9298080","url":null,"abstract":"Terahertz communications is one of the promising technologies for the future mobile communication networks. Due to the ever increasing need for high-speed data transfer, higher bandwidths are required. As a solution, higher frequencies in the spectrum may be considered for future networks. In this paper, Terahertz band is selected since the latest technological advances make it possible to deploy mobile networks in this high-frequency band. To support higher bandwidth with an advanced multiple access method, non-orthogonal multiple access (NOMA) is implemented in this paper. Different from orthogonal multiple access (OMA), NOMA makes it possible for users to share the same frequency and time resources simultaneously, therefore increases the spectral efficiency. To measure the efficiency of the implemented methods, computer simulations are used and results are obtained for different scenarios. In the simulation results, it is shown that NOMA provides higher average data rates for these scenarios where users are located on variety of distances far from the Terahertz access point. As a result, this work shows NOMA for Terahertz communication networks is a promising method for future communication networks.","PeriodicalId":433609,"journal":{"name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114877192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Analyzing Gun Violence in the United States 分析美国的枪支暴力

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298154

Justina Celentano, Eman Abdelfattah

引用次数: 0

A Feasible Chinese Text Data Preprocessing Strategy 一种可行的中文文本数据预处理策略

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298131

Jingang Liu, Chunhe Xia, Haihua Yan, Jie Sun

引用次数: 1

Smart Real-Time Autonomous Navigation System using integration of MEMS-based Low-Cost IMU/GPS 基于mems的低成本IMU/GPS集成智能实时自主导航系统

2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2020-10-28 DOI: 10.1109/UEMCON51285.2020.9298049

Nader Nagui, Omneya Attallah, M. Zaghloul, I. Morsi

{"title":"Smart Real-Time Autonomous Navigation System using integration of MEMS-based Low-Cost IMU/GPS","authors":"Nader Nagui, Omneya Attallah, M. Zaghloul, I. Morsi","doi":"10.1109/UEMCON51285.2020.9298049","DOIUrl":"https://doi.org/10.1109/UEMCON51285.2020.9298049","url":null,"abstract":"This paper aims to design a real time autonomous navigation system (ANS) using low cost electronics devices with significant navigation accuracy levels. This system could be practically implemented inside any vehicle to enable autonomous movement. The proposed ANS is implemented through an open loop decentralized loosely integration approach of an Inertial Measurement Unit (IMU) and a Global Positioning System (GPS). Due its modularity, the 6 degree of freedom (DOF) MPU6050 breakout board is used to be the IMU in the system. The GPS receiver is selected to be the Skylab SKM53 module. Appropriate real time navigation accuracy levels are obtained through the correction of Position and Velocity (PV) readings coming out from the GPS. Two Extended Kalman Filters (EKFs) are used to provide the corrected PV readings. The filters are implemented through two state machines that are running simultaneously in a concurrent form on an Atmel ATmega16 microcontroller which is the main controller of the proposed ANS. The system also includes 3DRobotics 915 MHz wireless telemetry module to grant the real time processing of the navigation data. The system accuracy is validated on a real vehicular trajectory. The Root Mean Square Error (RMSE) values for the implemented ANS in ENU directions, have reached 0.254, 0.337 and 0.462 meters respectively, which is notably competitive with other recent related work.","PeriodicalId":433609,"journal":{"name":"2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128347735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0