In wireless sensor networks (WSNs), congestion is one of the challenging issues. It degrades the network’s performance in various operating variables such as throughput, latency, energy consumption, packet loss, lifetime of the network and etc. Congestion occurs in WSN when the rate of sensor data flow outreach the channel or buffer capacity. The congestion is controlled in two ways in WSN, such as controlling network traffic or efficiently managing the resources. This paper performs the resource control mechanism by providing the alternative path towards to base station using a Q-learning for congestion alleviation. This congestion-aware data acquisition (CADA) mechanism initially identifies the congestion node (CN) where the nodes buffer occupancy ratio is higher. Further, we recognize the proper next node to construct the dynamic alternative route to the base station. The CADA is evaluated in various network conditions by comparing it with recent congestion-aware algorithms. The simulation tests show that the CADA efficiently ameliorates the congestion and enhances the performance across multiple performance metrics.
{"title":"Congestion-aware Data Acquisition with Q-learning for Wireless Sensor Networks","authors":"Praveen Kumar Donta, Tarachand Amgoth, Chandra Sekhara Rao Annavarapu","doi":"10.1109/IEMTRONICS51293.2020.9216379","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216379","url":null,"abstract":"In wireless sensor networks (WSNs), congestion is one of the challenging issues. It degrades the network’s performance in various operating variables such as throughput, latency, energy consumption, packet loss, lifetime of the network and etc. Congestion occurs in WSN when the rate of sensor data flow outreach the channel or buffer capacity. The congestion is controlled in two ways in WSN, such as controlling network traffic or efficiently managing the resources. This paper performs the resource control mechanism by providing the alternative path towards to base station using a Q-learning for congestion alleviation. This congestion-aware data acquisition (CADA) mechanism initially identifies the congestion node (CN) where the nodes buffer occupancy ratio is higher. Further, we recognize the proper next node to construct the dynamic alternative route to the base station. The CADA is evaluated in various network conditions by comparing it with recent congestion-aware algorithms. The simulation tests show that the CADA efficiently ameliorates the congestion and enhances the performance across multiple performance metrics.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128637367","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}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216448
Chokder Alamgir Bartend Russell, Shahriar Khan
In spite of advances in electrical and computer engineering, the issue of blackouts in the power grid has not been solved. A new method is proposed to alleviate transmission line overloads, created by the outage of a single transmission line. An overloaded transmission line may trip, causing power to be redistributed to other transmission lines, which may get overloaded themselves. This may lead to cascading outages, destabilization, and blackouts. The proposed new method uses the PSS®E to shed load from specific buses and to reduces power output of specific generators. The method was applied to the IEEE 39-bus power system using additional softwares Python, and Excel. All 34 transmission lines were disconnected individually and transmission lines were monitored for overcurrents. The proposed method for reducing loads and generation was found to successfully remove overloads of transmission lines, ensuring stability and continuity of power. The method was found to be effective for power system protection. The method may not be optimal, but may be practical for implementation.
{"title":"Method for Reducing Load and Generator Output In Case of Transmission Line Overload","authors":"Chokder Alamgir Bartend Russell, Shahriar Khan","doi":"10.1109/IEMTRONICS51293.2020.9216448","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216448","url":null,"abstract":"In spite of advances in electrical and computer engineering, the issue of blackouts in the power grid has not been solved. A new method is proposed to alleviate transmission line overloads, created by the outage of a single transmission line. An overloaded transmission line may trip, causing power to be redistributed to other transmission lines, which may get overloaded themselves. This may lead to cascading outages, destabilization, and blackouts. The proposed new method uses the PSS®E to shed load from specific buses and to reduces power output of specific generators. The method was applied to the IEEE 39-bus power system using additional softwares Python, and Excel. All 34 transmission lines were disconnected individually and transmission lines were monitored for overcurrents. The proposed method for reducing loads and generation was found to successfully remove overloads of transmission lines, ensuring stability and continuity of power. The method was found to be effective for power system protection. The method may not be optimal, but may be practical for implementation.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129573855","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}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216391
Dina Nawara, R. Kashef
Internet of Things (IoT) has emerged in many industries, such as health care, transportation, agriculture, manufacturing, smart homes, to name a few. It paves the path for massive applications on the user level to enhance the quality of life or service, and on the decision-makers’ level to provide a sustainable increase in revenue. IoT principally connects different physical objects (e.g., sensors) and enables them to communicate, collect, and share data. In the Era of IoT, Recommendation systems provide personalized recommendations based on the user's historical datasets collected from the IoT devices. These recommendations enable an efficient decision-making process by suggesting relevant products, resources, and information. This paper provides an overview of various multi-layers IoT architectures, and IoT-based recommendation systems with an emphasis on their advantages, disadvantages, application domains, and validation metrics for quality assessment.
{"title":"IoT-based Recommendation Systems – An Overview","authors":"Dina Nawara, R. Kashef","doi":"10.1109/IEMTRONICS51293.2020.9216391","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216391","url":null,"abstract":"Internet of Things (IoT) has emerged in many industries, such as health care, transportation, agriculture, manufacturing, smart homes, to name a few. It paves the path for massive applications on the user level to enhance the quality of life or service, and on the decision-makers’ level to provide a sustainable increase in revenue. IoT principally connects different physical objects (e.g., sensors) and enables them to communicate, collect, and share data. In the Era of IoT, Recommendation systems provide personalized recommendations based on the user's historical datasets collected from the IoT devices. These recommendations enable an efficient decision-making process by suggesting relevant products, resources, and information. This paper provides an overview of various multi-layers IoT architectures, and IoT-based recommendation systems with an emphasis on their advantages, disadvantages, application domains, and validation metrics for quality assessment.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129932720","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}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216414
P. Sahu, A. Sharma, Rajiv Dey
This paper presents a comparative analysis of Ripple Correlation Control (RCC) with conventional Maximum Power Point Tracking (MPPT) methods such as Perturb & Observe (P&O) and Incremental Conductance (IC). Photovoltaic (PV) array along with the buck converter and its MPPT control have been simulated for all three MPPT methods at different solar radiation levels. From the simulation results, it can be observed that P&O is much affected with slow tracking and oscillations, and IC MPPT performs better than P&O in terms of tracking, but not for ripples. Simulation results verifies that RCC MPPT is capable of solving both these problems effectively and RCC performance is better than both P&O and IC MPPT methods.
{"title":"Ripple Correlation Control Maximum Power Point Tracking for Battery Operated PV Systems: A Comparative analysis","authors":"P. Sahu, A. Sharma, Rajiv Dey","doi":"10.1109/IEMTRONICS51293.2020.9216414","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216414","url":null,"abstract":"This paper presents a comparative analysis of Ripple Correlation Control (RCC) with conventional Maximum Power Point Tracking (MPPT) methods such as Perturb & Observe (P&O) and Incremental Conductance (IC). Photovoltaic (PV) array along with the buck converter and its MPPT control have been simulated for all three MPPT methods at different solar radiation levels. From the simulation results, it can be observed that P&O is much affected with slow tracking and oscillations, and IC MPPT performs better than P&O in terms of tracking, but not for ripples. Simulation results verifies that RCC MPPT is capable of solving both these problems effectively and RCC performance is better than both P&O and IC MPPT methods.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129731889","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}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216387
R. Senthilkumar, Mohamed Al Musleh
The thermal comfort for children and adults inside the car is a crucial issue to improve as the hot environmental conditions can be irritable and uncomfortable. Being inside an extremely hot car for a prolonged time can lead to major health problems. This paper focuses on the thermal comfort of infants. Traditionally air conditioning systems are used to cool down an infant car seat which is not effective due to the portability and cooling duration. In this paper, heat relief for the child is researched using a thermoelectric cooling system. This paper reviews various factors concerning the development of a temperature-controlled infant car seat. This study focuses on the health and safety of children inside the cars, the subjective needs of the parent, heat management in the car cabin environment, thermoelectric modeling, and the methods for precise temperature control for effective thermoelectric cooling. In-depth research has been conducted on the contributions of other researchers on the thermoelectric cooling system in a car. The thermoelectric device in the infant car seat was tested in thermal simulation.
{"title":"Smart temperature-controlled infant car seat using thermoelectric devices","authors":"R. Senthilkumar, Mohamed Al Musleh","doi":"10.1109/IEMTRONICS51293.2020.9216387","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216387","url":null,"abstract":"The thermal comfort for children and adults inside the car is a crucial issue to improve as the hot environmental conditions can be irritable and uncomfortable. Being inside an extremely hot car for a prolonged time can lead to major health problems. This paper focuses on the thermal comfort of infants. Traditionally air conditioning systems are used to cool down an infant car seat which is not effective due to the portability and cooling duration. In this paper, heat relief for the child is researched using a thermoelectric cooling system. This paper reviews various factors concerning the development of a temperature-controlled infant car seat. This study focuses on the health and safety of children inside the cars, the subjective needs of the parent, heat management in the car cabin environment, thermoelectric modeling, and the methods for precise temperature control for effective thermoelectric cooling. In-depth research has been conducted on the contributions of other researchers on the thermoelectric cooling system in a car. The thermoelectric device in the infant car seat was tested in thermal simulation.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129634744","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}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216390
Andrew S. Lee, S. Andrew Gadsden, M. Al-Shabi
Extraction of state values from noisy or uncertain systems is important for feedback control because it improves the accuracy of the error signal. For known linear systems with Gaussian white noise, the Kalman Alter provides optimal state estimates in terms of state error. However, electromechanical systems, such as magnetorheological dampers, typically exhibit nonlinear behaviour. In this paper, a new nonlinear estimation method known as the extended sliding innovation filter is presented and applied on a magnetorheological suspension system. The state estimates are extracted from a quarter car model with an active magnetorheological suspension system with skyhook control. The results are compared with the popular extended Kalman filter, and future experiments are considered.
{"title":"Application of Nonlinear Estimation Strategies on a Magnetorheological Suspension System with Skyhook Control","authors":"Andrew S. Lee, S. Andrew Gadsden, M. Al-Shabi","doi":"10.1109/IEMTRONICS51293.2020.9216390","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216390","url":null,"abstract":"Extraction of state values from noisy or uncertain systems is important for feedback control because it improves the accuracy of the error signal. For known linear systems with Gaussian white noise, the Kalman Alter provides optimal state estimates in terms of state error. However, electromechanical systems, such as magnetorheological dampers, typically exhibit nonlinear behaviour. In this paper, a new nonlinear estimation method known as the extended sliding innovation filter is presented and applied on a magnetorheological suspension system. The state estimates are extracted from a quarter car model with an active magnetorheological suspension system with skyhook control. The results are compared with the popular extended Kalman filter, and future experiments are considered.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126031184","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}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216453
Sankhyabrata Bandyopadhyay, Liyang Shao, Jie Hu, Jiahao Jiang
in this paper, it has been shown that the refractive index (RI) sensitivity of higher-order cladding modes of a fiber Bragg grating (FBG) can be enhanced significantly with the deposition of gold nanoparticle over the surface. A detailed numerical study is being accomplished in this work. Initially, the sensitivity of higher-order cladding modes is evaluated with a dedicated multi-layer numerical model of FBG. Subsequently, thin nanoparticles of gold are being considered over the surface of FBG. A Four-layer model is employed for the computation of sensitivity of cladding modes of FBG. Almost a ‘2.5’ fold enhancement of sensitivity is found with the utilization of gold nanoparticles. This proposed FBG sensors can be utilized in highly sensitive chemical and biological sensing applications.
{"title":"Anomalous Enhancement of Volume and Surface Refractive Index Sensitivity of Fiber Bragg Grating Sensors with Deposition of Gold Nanoparticles","authors":"Sankhyabrata Bandyopadhyay, Liyang Shao, Jie Hu, Jiahao Jiang","doi":"10.1109/IEMTRONICS51293.2020.9216453","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216453","url":null,"abstract":"in this paper, it has been shown that the refractive index (RI) sensitivity of higher-order cladding modes of a fiber Bragg grating (FBG) can be enhanced significantly with the deposition of gold nanoparticle over the surface. A detailed numerical study is being accomplished in this work. Initially, the sensitivity of higher-order cladding modes is evaluated with a dedicated multi-layer numerical model of FBG. Subsequently, thin nanoparticles of gold are being considered over the surface of FBG. A Four-layer model is employed for the computation of sensitivity of cladding modes of FBG. Almost a ‘2.5’ fold enhancement of sensitivity is found with the utilization of gold nanoparticles. This proposed FBG sensors can be utilized in highly sensitive chemical and biological sensing applications.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"22 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114022400","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}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216381
S. Andrew Gadsden, M. Al-Shabi
In this paper, a study of estimation strategies based on variable structure and sliding mode theory is performed. The smooth variable structure filter (SVSF) and the new sliding innovation filter (SIF) are based on similar sliding mode concepts but with some notable differences. The relevant literature and background are explored and the SVSF and SIF estimation algorithms are presented. For comparison purposes, the two estimation strategies are applied on a mechatronic system. The results indicate that although both the SVSF and SIF provide robust estimates to faults, the SIF formulation provides slightly more accurate estimates while maintaining robustness, and is less computationally complex.
{"title":"A Study of Variable Structure and Sliding Mode Filters for Robust Estimation of Mechatronic Systems","authors":"S. Andrew Gadsden, M. Al-Shabi","doi":"10.1109/IEMTRONICS51293.2020.9216381","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216381","url":null,"abstract":"In this paper, a study of estimation strategies based on variable structure and sliding mode theory is performed. The smooth variable structure filter (SVSF) and the new sliding innovation filter (SIF) are based on similar sliding mode concepts but with some notable differences. The relevant literature and background are explored and the SVSF and SIF estimation algorithms are presented. For comparison purposes, the two estimation strategies are applied on a mechatronic system. The results indicate that although both the SVSF and SIF provide robust estimates to faults, the SIF formulation provides slightly more accurate estimates while maintaining robustness, and is less computationally complex.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114092437","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}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216441
Mahmoud Al Rashdi, Z. Nadir, H. Al-Lawati
Current article discusses the usefulness of Okumura-Hata model in urban areas for 2G and 3G communication systems. At some places, applicability of the model is observed and extended to a lower distance from the tower than the specified minimum distance specified in the model. Authors did an extensive drive test and post processed data and proposed theoretical modified model which is presented and compared for different data sets at different locations. 3rd order interpolating polynomial was also used which helps in reasonable prediction for RF engineers.
{"title":"Applicability of Okumura – Hata Model for Wireless Communication Systems in Oman","authors":"Mahmoud Al Rashdi, Z. Nadir, H. Al-Lawati","doi":"10.1109/IEMTRONICS51293.2020.9216441","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216441","url":null,"abstract":"Current article discusses the usefulness of Okumura-Hata model in urban areas for 2G and 3G communication systems. At some places, applicability of the model is observed and extended to a lower distance from the tower than the specified minimum distance specified in the model. Authors did an extensive drive test and post processed data and proposed theoretical modified model which is presented and compared for different data sets at different locations. 3rd order interpolating polynomial was also used which helps in reasonable prediction for RF engineers.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131470675","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}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216362
Divydharshini Karthikeyan, S. Shah, A. Varde, C. Alo
Precipitation plays a highly significant part in the hydrological cycle and is responsible for depositing most of the freshwater on earth. It can also impact the climate ecosystem. Considerable work has been performed to understand, model and predict precipitation. However, to the best of our knowledge, hardly any interactive visualizations exist that allow end-users to obtain a better perception of local impacts; also there are no specific apps for this purpose. The two goals of our work are thus: to design a visualization tool that illustrates changes in precipitation in a given time period with analysis; and to design a mobile application (app) that displays Sub-Saharan precipitation patterns, both using big data. This work would be advantageous to environmental scientists, as well as local residents of the respective areas. It would also be beneficial to students interested in conducting climate-based research. It addresses the theme of IoT (Internet of Things) which involves providing ubiquitous access to Internet-Based information on platforms such as smartphones and other mobile devices.
{"title":"Interactive Visualization and App Development for Precipitation Data in Sub-Saharan Africa","authors":"Divydharshini Karthikeyan, S. Shah, A. Varde, C. Alo","doi":"10.1109/IEMTRONICS51293.2020.9216362","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216362","url":null,"abstract":"Precipitation plays a highly significant part in the hydrological cycle and is responsible for depositing most of the freshwater on earth. It can also impact the climate ecosystem. Considerable work has been performed to understand, model and predict precipitation. However, to the best of our knowledge, hardly any interactive visualizations exist that allow end-users to obtain a better perception of local impacts; also there are no specific apps for this purpose. The two goals of our work are thus: to design a visualization tool that illustrates changes in precipitation in a given time period with analysis; and to design a mobile application (app) that displays Sub-Saharan precipitation patterns, both using big data. This work would be advantageous to environmental scientists, as well as local residents of the respective areas. It would also be beneficial to students interested in conducting climate-based research. It addresses the theme of IoT (Internet of Things) which involves providing ubiquitous access to Internet-Based information on platforms such as smartphones and other mobile devices.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133411856","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}
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