2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)最新文献

A Circuit-embedded Reservoir Computer for Smart Noise Reduction of MCG Signals 一种用于MCG信号智能降噪的嵌入式水库计算机

2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) Pub Date : 2021-11-23 DOI: 10.1109/IoTaIS53735.2021.9628824

Biraj Shakya, M. Fouda, Steve C. Chiu, Z. Fadlullah

{"title":"A Circuit-embedded Reservoir Computer for Smart Noise Reduction of MCG Signals","authors":"Biraj Shakya, M. Fouda, Steve C. Chiu, Z. Fadlullah","doi":"10.1109/IoTaIS53735.2021.9628824","DOIUrl":"https://doi.org/10.1109/IoTaIS53735.2021.9628824","url":null,"abstract":"With the COVID-19 pandemic, it has become necessary to monitor cardiac activities, not only for heart patients but for everyone. However, the traditional way to use heavy machines which are non-portable, intrusive, to check the electrocardiography (ECG) is not possible for everyone. As an alternative, there are sensors that can collect magnetocardiography (MCG) signals by measuring the magnetic field produced by the electrical currents in the heart and can be converted into ECG signals. The sensor for MCG is very sensitive, consume low power, portable, and can be a good alternative to check cardiac activities. But the challenging part of these sensors would be the noise at the low frequencies because the heart also oscillates at the low frequencies. As the relevant signal and noise share the same spectral properties, standard linear filtering techniques are not efficient. In this paper, we propose a physical reservoir computing technique using a circuit that can act as a reservoir and a lightweight machine learning model. The output is modeled to reduce the noise and extract the ECG signals out of the MCG ones.","PeriodicalId":183547,"journal":{"name":"2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114296859","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 Domestic Water Management System 智能生活用水管理系统

2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) Pub Date : 2021-11-23 DOI: 10.1109/IoTaIS53735.2021.9628854

Ashraf A. Zaher, AbdulMohsen Al-Refaei, Ahmad Al-Enezi, Talal Al-Azemi

{"title":"Smart Domestic Water Management System","authors":"Ashraf A. Zaher, AbdulMohsen Al-Refaei, Ahmad Al-Enezi, Talal Al-Azemi","doi":"10.1109/IoTaIS53735.2021.9628854","DOIUrl":"https://doi.org/10.1109/IoTaIS53735.2021.9628854","url":null,"abstract":"Kuwait has a subtropical desert climate. It is very hot in summer where the temperature is around $45/ 46 mathrm{C}^{circ}$ and it can reach up to $52/ 53 mathrm{C}^{circ}$ from June to August. Because of this high temperature the water stored in tanks on the roofs of the buildings becomes very hot. Cooling this water to a usable temperature is a big challenge. This project is about designing and implementing a system that can solve this problem. It will be a smart system that will be connected to the IoT (Internet of Things) so the user can control and monitor the system using a mobile phone from anywhere. The system consists of two units, the lower unit and the upper unit and a mobile application. Both units have a microcontroller that works as the brain of the system and each controller is connected to a Wi-Fi module to make a connection with the IoT. The mobile application will tell the user about the water level and temperature of the water in the tank on the roof and will give him the ability to assign a certain value for both. The lower unit will be connected to the lower tank that usually pumps the water to the upper tank when the user turns on the pump manually. It will have a low-level sensor that will measure the level of the water in the tank where the microcontroller will turn the pump on and off automatically according to the reading from this sensor and the reading from an ultrasonic sensor connected to the upper unit. The upper unit will be connected to the tank on the roof. It reads from the ultrasonic sensor and a temperature sensor to determine the water level/temperature. The microcontroller in the upper unit will control a cooler according to the reading from the temperature sensor. This system will give the user the option to cool a specific amount of water that he chooses which will save a lot of power and time and will make the process of cooling much easier, more flexible, and more efficient.","PeriodicalId":183547,"journal":{"name":"2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124216410","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: 2

Improving an IoT-Based Motor Health Predictive Maintenance System Through Edge-Cloud Computing 利用边缘云计算改进基于物联网的电机健康预测维护系统

2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) Pub Date : 2021-11-23 DOI: 10.1109/IoTaIS53735.2021.9628648

Kristine-Clair Lee, Christian Villamera, Carlos Adrian Daroya, Paolo Samontanez, Wilson M. Tan

{"title":"Improving an IoT-Based Motor Health Predictive Maintenance System Through Edge-Cloud Computing","authors":"Kristine-Clair Lee, Christian Villamera, Carlos Adrian Daroya, Paolo Samontanez, Wilson M. Tan","doi":"10.1109/IoTaIS53735.2021.9628648","DOIUrl":"https://doi.org/10.1109/IoTaIS53735.2021.9628648","url":null,"abstract":"One of the most prominent use case of Industry 4.0 in manufacturing is predictive maintenance (PdM), which can be used to maintain and manage motor equipment. PdM is a condition-based maintenance technique that predicts when an equipment might fail by monitoring the performance of the equipment. The predictions, in turn, will let the users perform maintenance on the equipment before it fails. Through these predictions done by PdM systems, equipment health can be monitored, equipment can be proactively maintained, and usage of maintenance resources can be optimized. Most of the current PdM systems use a pure cloud setup where the processes are being executed in the cloud, relying heavily on Internet connectivity. The main focus of this paper is to improve the base pure cloud system by incorporating edge computing to create an edge-cloud setup, wherein major processes will be executed in the edge device. System prototypes using pure cloud setups and edge-cloud setups are evaluated through experiments, comparing the results with regards to timing breakdown of the processes, and the CPU and memory usage. Experiments show that while an edge-cloud setup can certainly perform better than a pure cloud setup, it will only be able to do so under certain circumstances. If the edge device involved has very low computing power and therefore takes a significant amount of time to perform the computations, it may still be better to just incur the network delays and send the data to a fast cloud server for computation. Put another way, the specifications of the edge device and of the cloud instance that will be used must be considered when deciding whether to go with a pure cloud setup or a cloud-edge one.","PeriodicalId":183547,"journal":{"name":"2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130849862","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

5G Fixed Wireless Access Network for Urban Residential Market: A Case of Indonesia 面向城市住宅市场的5G固定无线接入网络——以印度尼西亚为例

2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) Pub Date : 2021-11-23 DOI: 10.1109/IoTaIS53735.2021.9628442

Muhammad Kevin Adityo, M. I. Nashiruddin, M. Nugraha

{"title":"5G Fixed Wireless Access Network for Urban Residential Market: A Case of Indonesia","authors":"Muhammad Kevin Adityo, M. I. Nashiruddin, M. Nugraha","doi":"10.1109/IoTaIS53735.2021.9628442","DOIUrl":"https://doi.org/10.1109/IoTaIS53735.2021.9628442","url":null,"abstract":"The quick advancement of technology has increased commercial rivalry in telecommunications, compelling broad-band network operators to be more effective in assembling Capital Expenditure (CAPEX) and Operational Expenditures (OPEX) requirements to avoid the scissor effect. The arrival of 5G Fixed Wireless Access (FWA) eliminates costly network connections. FWA enables network operators to offer ultra-high-speed internet support in residential areas where fiber is expensive to construct and maintain. The objective of this research is to determine the required number of gNodeB for capacity and coverage planning by using two different 5G frequencies, 3.5 GHz mid-band and 28 GHz mmWave, along with CAPEX and OPEX calculations in deploying 5G FWA at one of the urban residential areas in Indonesia, Citra Raya Cikupa. This research analyzes the area’s classification, forecasts the number of households from 2021 to 2026, and traffics usage to achieve an optimum number of gNodeB. This research then calculates the CAPEX and OPEX. The results show that Citra Raya Cikupa’s generated a traffic demand of 12.73 Gbps/km2 with an area of 27.6 km2. Furthermore, using the 3.5 GHz mid-band frequency, Citra Raya Cikupa demands 67 gNodeB with a CAPEX of USD 7,221,595 and an OPEX of USD 3,169,368. While using the 28 GHz mmWave frequency, Citra Raya Cikupa needs 107 gNodeB with a CAPEX of USD 2,309,488 and an OPEX of USD 1,183,848.","PeriodicalId":183547,"journal":{"name":"2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127897886","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

Smart Monitoring System for Stroke Rehabilitation 脑卒中康复智能监测系统

2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) Pub Date : 2021-11-23 DOI: 10.1109/IoTaIS53735.2021.9628644

Mais Al Atallah, Zainab Jamil, Hania Khafagy, Mehnaz Ummar, F. Aloul, A. Sagahyroon

引用次数: 0

Outcome-Based Business Design in IoT-Enabled Digital Supply Chain Transformation 物联网数字化供应链转型中基于结果的业务设计

2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) Pub Date : 2021-11-23 DOI: 10.1109/IoTaIS53735.2021.9628770

P. Grefen, A. Wilbik, F. Kuitems, Menno Blanken

引用次数: 2

Earthquake Disaster Mitigation Based on Peak Ground Acceleration with Multi-Sensor System 基于峰值地加速度多传感器系统的地震减灾研究

2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) Pub Date : 2021-11-23 DOI: 10.1109/IoTaIS53735.2021.9628464

C. Setianingsih, M. A. Murti, Alifi Adham Wicaksono, R. E. Saputra, Dimas Budi Pangestu

{"title":"Earthquake Disaster Mitigation Based on Peak Ground Acceleration with Multi-Sensor System","authors":"C. Setianingsih, M. A. Murti, Alifi Adham Wicaksono, R. E. Saputra, Dimas Budi Pangestu","doi":"10.1109/IoTaIS53735.2021.9628464","DOIUrl":"https://doi.org/10.1109/IoTaIS53735.2021.9628464","url":null,"abstract":"Indonesia is a country at the meeting point of tectonic plates, so it will likely experience the natural phenomenon of earthquakes. Earthquakes are natural events that humans cannot predict and cause fatal impacts, such as the number of fatalities and damage to buildings that cause a lot of material losses. This system was created to reduce the secondary effect of natural disasters. With the existence of an earthquake mitigation system in the form of an alarm warning and auto cut-off system, it is hoped that this system can minimize damage, loss of life and increase the level of earthquake alertness. Along with the development of technology, one of the main objectives of this research is to make people aware of evacuating immediately after the alarm and cut off some crucial flows such as electricity, gas, and others. This system utilizes multi-sensor technology, the Internet of Things, and Artificial Intelligence. This system implements 2 algorithms, such as K-Nearest Neighbor (KNN) and Logistic Regression. In KNN with 3 active sensors, the resulting accuracy is 94%. While Logistics Regression with 10 active sensors, the resulting accuracy is 83%.","PeriodicalId":183547,"journal":{"name":"2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134323417","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

Data Distribution Platform for Smart City Applications 智慧城市应用数据分发平台

2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) Pub Date : 2021-11-23 DOI: 10.1109/IoTaIS53735.2021.9628758

C. Sethukkarasi, K. Amutha, P. Poonguzhali, S. Sridevi

引用次数: 0

Exploring the Characteristics and Limits of LoRaWAN 探索LoRaWAN的特点和局限性

2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) Pub Date : 2021-11-23 DOI: 10.1109/IoTaIS53735.2021.9628831

David Murray, Terry Koziniec, Andre deSouza

引用次数: 1

Lie Detector with Eye Movement and Eye Blinks Analysis Based on Image Processing using Viola-Jones Algorithm 基于Viola-Jones算法图像处理的眼球运动和眨眼分析测谎仪

2021 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS) Pub Date : 2021-11-23 DOI: 10.1109/IoTaIS53735.2021.9628413

Aziz Perdana, Muhammad Nasrun, C. Setianingsih, M. A. Murti, Andi Sitti Syathirah, Al Agias Bayu Asa, N. I. G. Paulina, Nesa Cristin Natalia Batubara

引用次数: 0