2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)最新文献_第3页

Comparative Analysis of Underwater Positioning and Navigation Systems 水下定位与导航系统的比较分析

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/uemcon53757.2021.9666718

Hosam Alamleh, A. A. AlQahtani, Baker Al Smadi

引用次数: 1

Interactive Attention Network for Chinese Address Element Recognition 中文地址元识别的交互式注意网络

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/UEMCON53757.2021.9666557

Yusheng Bi, Lihua Tian, Chen Li

引用次数: 1

Firefly Algorithm Based Optimized PID Controller for Stability Analysis of DC-DC SEPIC Converter 基于萤火虫算法的优化PID控制器用于DC-DC SEPIC变换器稳定性分析

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/uemcon53757.2021.9666555

Md. Rafid Kaysar Shagor, Al Jaber Mahmud, M. M. Nishat, Fahim Faisal, Mehedi Hasan Mithun, Md. Ashik Khan

{"title":"Firefly Algorithm Based Optimized PID Controller for Stability Analysis of DC-DC SEPIC Converter","authors":"Md. Rafid Kaysar Shagor, Al Jaber Mahmud, M. M. Nishat, Fahim Faisal, Mehedi Hasan Mithun, Md. Ashik Khan","doi":"10.1109/uemcon53757.2021.9666555","DOIUrl":"https://doi.org/10.1109/uemcon53757.2021.9666555","url":null,"abstract":"Firefly Algorithm (FA) refers to a swarm intelligence-based technique which appears to be one of the most influential optimization algorithms in designing optimized controllers for power converters in recent years. Hence, an optimized PID controller is designed based on this algorithm, and stability analysis and performance enhancement of the closed-loop Single-Ended Primary Inductor Converter (SEPIC) are demonstrated comprehensively. Using the state space average technique, the SEPIC converter is mathematically modeled, and the transfer function for the closed-loop system is obtained. The performance parameters noted in the analysis of the system's stability are the percentage of overshoot (%OS), rise time (Tr), settling time (Ts), and peak amplitude (PA). However, fitness functions like integral absolute error (IAE), integral squared error (ISE), integral time squared error (ITSE), integral time absolute error (ITAE) are considered in this optimization process. Step responses based on the gain parameters are attained, and a comparative study with performance evaluation is shown between the optimized and conventional PID controller. MATLAB and Simulink are utilized for simulation.","PeriodicalId":127072,"journal":{"name":"2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128889903","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: 9

Brain Wave and Head Motion Controlled Music System 脑电波和头部运动控制音乐系统

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/UEMCON53757.2021.9666738

Md. Abu Obaidah, Mahmudunnabi, Mohammad Monirujjaman Khan

引用次数: 0

Applying Deep Learning to Track Food Consumption and Human Activity for Non-intrusive Blood Glucose Monitoring 应用深度学习跟踪食物消耗和人类活动，用于非侵入式血糖监测

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/uemcon53757.2021.9666662

M. Samir, Zeinab Y. A. Mohamed, M. A. A. Hussein, Ayman Atia

{"title":"Applying Deep Learning to Track Food Consumption and Human Activity for Non-intrusive Blood Glucose Monitoring","authors":"M. Samir, Zeinab Y. A. Mohamed, M. A. A. Hussein, Ayman Atia","doi":"10.1109/uemcon53757.2021.9666662","DOIUrl":"https://doi.org/10.1109/uemcon53757.2021.9666662","url":null,"abstract":"Blood glucose monitoring is a wide area of research as it plays a huge part in controlling diabetes and many of its symptoms. A common human disease ‘Diabetes Mellitus’ (DM), which is characterized by hyperglycemia, has a number of harmful complications. In addition, the low glucose level in blood caused by hypoglycemia is correlated to fatal brain failure and death. In this paper, we explore a variety of related research to have a grasp on some of the systems and concepts that can assist in forming an autonomous system for glucose monitoring, including deep learning techniques. The proposed system in this paper utilizes non-intrusive Continuous Glucose Monitoring (CGM) devices for tracking glucose levels, combined with food classification and Human Activity Recognition (HAR) using deep learning. We relate the preprandial and peak postprandial glucose levels extracted from CGM with the Glycimc Load (GL) present in food, which makes it possible to form an estimation of blood sugar increase as well as predict hyperglycemia. The system also relates human activity with decrease in blood glucose to warn against possible signs of hypoglycemia before it occurs. We have conducted 3 different experiments; two of which are comparison between deep learning models for food classification and HAR with good results achieved, as well as an experimental result that we obtained by testing hyperglycemia prediction on real data of diabetic patients. The system was able to predict hyperglycemia with an accuracy percentage of 93.2%.","PeriodicalId":127072,"journal":{"name":"2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117011108","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: 1

Deep RMCSA for Resource Allocation in Spectrally-Spatially Flexible Optical Networks 基于深度RMCSA的频谱空间柔性光网络资源分配

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/UEMCON53757.2021.9666523

Josh Wong, Natalie Doan, Michal Aibin

引用次数: 0

Privacy-Preserving ID3 Algorithms: A Comparison 隐私保护ID3算法的比较

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/uemcon53757.2021.9666559

N. Madathil, F. Dankar

引用次数: 0

Optimal Small/Macro-Cell Densities in 5G Heterogeneous Networks: Maximizing Small-Cell Throughput Under SIR Constraints 5G异构网络中最优小/宏蜂窝密度:SIR约束下最大化小蜂窝吞吐量

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/uemcon53757.2021.9666714

Mobasshir Mahbub, B. Barua, R. Shubair

引用次数: 0

Network Planning Analysis of 5G Millimeter-Wave Deployment in Indonesia’s Dense Urban Area 印度尼西亚密集城区 5G 毫米波部署的网络规划分析

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/uemcon53757.2021.9666724

M. I. Nashiruddin, Putri Rahmawati, M. Nugraha

{"title":"Network Planning Analysis of 5G Millimeter-Wave Deployment in Indonesia’s Dense Urban Area","authors":"M. I. Nashiruddin, Putri Rahmawati, M. Nugraha","doi":"10.1109/uemcon53757.2021.9666724","DOIUrl":"https://doi.org/10.1109/uemcon53757.2021.9666724","url":null,"abstract":"An essential resource for the deployment of 5G technology is the frequency spectrum. A high spectrum provides high data rates and a large bandwidth to support many new devices, applications, and services that meet the needs across multiple domains. However, a high spectrum has a smaller range (10–100 m2) with a sub-6 GHz spectrum. So, it takes careful design for 5G implementation using high frequencies (mmWave). As a result, this research will plan a 5G New Radio (NR) network implementation employing a 28 GHz mmWave frequency. The dense urban scenario research design was carried out by selecting Central Jakarta as the research object. Central Jakarta was chosen as a pilot project because it is feasible in market potential and infrastructure support to pre-pare 5G implementation in Indonesia. The capacity approach considers the data rate and users, while the coverage approach considers Maximum Allowable Path Loss (MAPL) parameters and path loss propagation. A propagation model based on 3GPP TS 38.901 UMi Street. The results of this study indicate that Central Jakarta requires a traffic demand of 4.72 Gbps/km2. In addition, the deployment of a 5G NR network with mmWave frequency based on the capacity planning approach requires 33 uplink and 12 downlink gNobeB. As a result, the coverage area necessitates 738 uplink gNodeB with a coverage area of 69 m2 and 130 downlink gNodeB with a coverage area of 370 m2. Based on these results, the gNodeB needed for Central Jakarta was selected based on downlink coverage with 738 gNodeB.","PeriodicalId":127072,"journal":{"name":"2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128415621","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: 3

Smart Campus for Better Study Spaces 智能校园创造更好的学习空间

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI: 10.1109/UEMCON53757.2021.9666667

Sean Hicks, Christian Huang, Eunseo Lee, Kushal Patel, Gregg Vesonder

引用次数: 1