2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)最新文献

Analysis and Predictive Modeling of Traffic Incidents in Karachi using Machine Learning 基于机器学习的卡拉奇交通事故分析与预测模型

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615390

S. Batool, M. A. Ismail, Shabbar Ali

引用次数: 0

eBiometrics: Data acquisition and Physiological Sensing 电子生物计量学:数据采集和生理传感

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615465

R. Splinter

引用次数: 0

The Performance of Deep and Conventional Machine Learning Techniques for Skin Lesion Classification 深度与传统机器学习技术在皮肤病变分类中的应用

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615400

Farzad Shahabi, A. Rouhi, Reza Rastegari

引用次数: 5

Cardiac Coronary Intervention Simulator 心脏冠状动脉介入模拟器

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615446

T. Javid, M. Faris, Muhammad Danish Mujib, Tayyab Ahmed Ansari, H. Iftikhar, Tayyaba Khalid, Wardah Saadat

{"title":"Cardiac Coronary Intervention Simulator","authors":"T. Javid, M. Faris, Muhammad Danish Mujib, Tayyab Ahmed Ansari, H. Iftikhar, Tayyaba Khalid, Wardah Saadat","doi":"10.1109/HONET53078.2021.9615446","DOIUrl":"https://doi.org/10.1109/HONET53078.2021.9615446","url":null,"abstract":"Simulators are used in numerous disciplines to accomplish various tasks. These simulators provide excellent and unique insights into complex environments to successfully plan improvements in typical setups. Training simulators support learning with a lower cost and focus on achieving better results. This paper presents designing and developing a cardiac coronary interventions simulator with vital functions of computing and animation. This simulator is integrated hardware that implements the compute model and a software system that deploys the animate model. The developed simulator is designed for novice cardiac surgeons that learn complex coronary intervention procedures. A plastic tube is used to mimic a catheter wire. The catheter wire movements are converted to single digits through the compute model. These values are transferred to the animate model that maps each value to a line segment for visualization. A comparison based on twenty features with recent state-of-the-art works found in literature shows the proposed simulator provides a feature-rich medical device. Additionally, the simulator with few modifications is a potential artificial intelligence internet of things device.","PeriodicalId":177268,"journal":{"name":"2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129494172","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

Implementing Multilevel Inverters and Multiport DC-DC Converters for Microgrids 微电网多电平逆变器和多端口DC-DC变换器的实现

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615472

Miguel Herrera, Afshin Balal

引用次数: 0

Intelligent Traffic Handling System Using Point Tracker Algorithm 基于点跟踪算法的智能交通处理系统

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615479

Wania Tahir, R. A. Wagan, Bushra Naeem

{"title":"Intelligent Traffic Handling System Using Point Tracker Algorithm","authors":"Wania Tahir, R. A. Wagan, Bushra Naeem","doi":"10.1109/HONET53078.2021.9615479","DOIUrl":"https://doi.org/10.1109/HONET53078.2021.9615479","url":null,"abstract":"Now a days road traffic is major issue of developing and under developing countries. With the rampant increase of traffic, the society faces major traffic threats including life threats and environmental threat, thus traffic management is gruesome problem to address. The consequences of poor traffic management include road accidents, jamming of traffic, pollution and many more that can be life threatening. Keeping in view the deadlock and congestion in traffic, this work provides solution by indigently detecting and prioritizing the vehicles and non-vehicles. The research involves implementation of Point Tracker Algorithm. Further, the algorithms are enhanced by improving traffic management in terms of identifying category of transport, prioritizing the traffic which contains vehicle and non-vehicles on basis of size of vehicle, type of vehicle, emergency situation and provide the priority to resolve the deadlock. Further, the proposed enhanced Point Tracker Algorithm includes the emergency detection in case of accident and provide an alternative route to neighboring vehicles and non-vehicles.","PeriodicalId":177268,"journal":{"name":"2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116865167","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

Machine Learning Approach For Classification of DHCP DoS Attacks in NIDS 基于机器学习的ddos攻击分类方法

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615392

Shameel Syed, Faheem Khuhawar, Shahnawaz Talpur

引用次数: 0

Implement an efficient multi-loop control scheme using rapid estimating filters to compensate for a variety of voltage drops 实现一个有效的多环控制方案，使用快速估计滤波器来补偿各种电压降

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615448

Hossein Mirzanejad, Shahaboddin Sadeghi, Ehsan Salajegheh

{"title":"Implement an efficient multi-loop control scheme using rapid estimating filters to compensate for a variety of voltage drops","authors":"Hossein Mirzanejad, Shahaboddin Sadeghi, Ehsan Salajegheh","doi":"10.1109/HONET53078.2021.9615448","DOIUrl":"https://doi.org/10.1109/HONET53078.2021.9615448","url":null,"abstract":"In this paper, we have discussed a new control design for dynamic voltage recovery (DVR) to obtain a fast response and efficient compensation ability of voltage drop. In this design, the amplitude and phase angle of injected voltage for each phase is controlled separately. Then, phasor parameters of load and supply voltage measured by least square error (LES) filter are estimated in a short time (5 ms). These filters reduce the effect of noise, harmonics, and disorders on estimated parameters. The considered control system does not need a phase-locked loop (PLL), since the angle of measured signals is estimated by LES filters. Besides, separately controlling injected voltage for each phase, help DVR to adjust negative and zero sequence components, as well as positive sequence component. Results of simulation studies in the software environment of PSCAD/EMTDC show that considered control design, first compensate voltage drop for symmetric or unsymmetric errors in a very short time interval without phase jump. Second, perform compensation desirably under conditions of linear and nonlinear load.","PeriodicalId":177268,"journal":{"name":"2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130465509","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

Internet of things Enabling Smart School: An Overview 物联网助力智慧学校:概述

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615391

Khaula Zeeshan, P. Neittaanmäki

引用次数: 1

Road Condition Monitoring Using Axle-Based Acceleration Method and K-Means Clustering Algorithm 基于轴向加速度法和K-Means聚类算法的路况监测

2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET) Pub Date : 2021-10-11 DOI: 10.1109/HONET53078.2021.9615460

G. F. Mirza, A. Shah, B. S. Chowdhry, T. Hussain, Yahya Sameen Junejo

{"title":"Road Condition Monitoring Using Axle-Based Acceleration Method and K-Means Clustering Algorithm","authors":"G. F. Mirza, A. Shah, B. S. Chowdhry, T. Hussain, Yahya Sameen Junejo","doi":"10.1109/HONET53078.2021.9615460","DOIUrl":"https://doi.org/10.1109/HONET53078.2021.9615460","url":null,"abstract":"Road deterioration remains a major setback if it is not considered significant especially in Pakistan which causes human casualties and massive financial losses. Hence, road condition monitoring is helpful to ensure comfort and safety to drivers on road. The aim of this project is to design an effective low cost Axle-Based Acceleration (ABA) system for road condition monitoring to restrain road accidents and vehicle damages on roads. The prototype consists of NodeMCU (with built-in WIFI) and ADXL335 accelerometer is deployed on the wheel axle of vehicle to follow ABA method. However, the android application mapped with Google Map is designed to collect the location coordinates of the vehicle. This data using Hashmap is then continuously sent to the Firebase database using WIFI module for analysis. ABA methodology easily detects short irregularities efficiently as compared to the sensors mounted on other positions which are unable to capture low frequency vibrations. Firstly, the ABA method is validated in this paper which shows that it is 12.849 % more efficient than the Non-ABA methodology. Thereafter, the collected data (Acceleration, Speed and GPS coordinates of vehicle) on Firebase is analyzed using K-Means clustering algorithm for prediction of faulty location coordinates. Those faulty coordinates are then entered into the database so that the road authorities can fix them before the road condition becomes worst.","PeriodicalId":177268,"journal":{"name":"2021 IEEE 18th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121544282","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