Artificial intelligence persists on being a right-hand tool for many branches of biology. From preliminary advices and treatments, such as understanding if symptoms related to fever or cold, to critical detection of cancerous cell or classification of X-rays, traditional machine learning and deep learning techniques achieved remarkable feats. However, total dependency on machine-based prediction is yet a far fetched concept. In this paper, we provide a framework utilizing several Natural Language Processing (NLP) algorithms to construct a comparative analysis. We create an ensemble of top-performing algorithms to accomplish classification task on medical reports. We compare both the traditional machine learning and deep learning techniques and evaluate their probabilities of being reliable on analyzing medical diagnosis. We concluded that an ensemble approach can provide reliable outcomes with accuracy over 92% and that the current state of the art is unequipped to provide the result with the standard needed for health sectors but an ensemble of these techniques can be a pathway for future research direction.
{"title":"“Can NLP techniques be utilized as a reliable tool for medical science?” - Building a NLP Framework to Classify Medical Reports","authors":"Nafiz Sadman, Sumaiya Tasneem, Ariful Haque, Maminur Islam, M. Ahsan, Kishor Datta Gupta","doi":"10.1109/IEMCON51383.2020.9284834","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284834","url":null,"abstract":"Artificial intelligence persists on being a right-hand tool for many branches of biology. From preliminary advices and treatments, such as understanding if symptoms related to fever or cold, to critical detection of cancerous cell or classification of X-rays, traditional machine learning and deep learning techniques achieved remarkable feats. However, total dependency on machine-based prediction is yet a far fetched concept. In this paper, we provide a framework utilizing several Natural Language Processing (NLP) algorithms to construct a comparative analysis. We create an ensemble of top-performing algorithms to accomplish classification task on medical reports. We compare both the traditional machine learning and deep learning techniques and evaluate their probabilities of being reliable on analyzing medical diagnosis. We concluded that an ensemble approach can provide reliable outcomes with accuracy over 92% and that the current state of the art is unequipped to provide the result with the standard needed for health sectors but an ensemble of these techniques can be a pathway for future research direction.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"11 1","pages":"0159-0166"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78548659","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284945
Manasa Mainampati, B. Chandrasekaran
This paper describes how different algorithms are implemented on autonomous robots like GoPiGo robot and Turtlebot. A* and behavioral-based algorithms are programmed and used in this work. The GoPiGo robot is a vehicle control device; it can work in either manual or autonomous mode. Based on human instruction, the robot can switch back and forth between manual and autonomous control. A switching-based module is used to select the signals in manual mode and automated control signals in the automated mode. This research is a work in progress, and the next stage is using the Turtlebot to achieve the implementation of this work.
{"title":"Manual and Autonomous Mode based Navigation using Human Robot Interaction on a Robotic Vehicle","authors":"Manasa Mainampati, B. Chandrasekaran","doi":"10.1109/IEMCON51383.2020.9284945","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284945","url":null,"abstract":"This paper describes how different algorithms are implemented on autonomous robots like GoPiGo robot and Turtlebot. A* and behavioral-based algorithms are programmed and used in this work. The GoPiGo robot is a vehicle control device; it can work in either manual or autonomous mode. Based on human instruction, the robot can switch back and forth between manual and autonomous control. A switching-based module is used to select the signals in manual mode and automated control signals in the automated mode. This research is a work in progress, and the next stage is using the Turtlebot to achieve the implementation of this work.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"9 1","pages":"0559-0564"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75941558","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}
A fully integrated tapered matrix distributed amplifier (DA) for broadband applications is presented in this paper. The DA is designed in the TSMC 180 nm CMOS RF process. For the gain improvement, the proposed DA employs a matrix architecture to take advantage of the additive and multiplicative gain mechanisms simultaneously. In addition, tapered transmission line technique is used to mitigate power consumption. Also, the terminating resistor of the input transmission line is replaced with an optimized RL-network to ameliorate the noise curve of the DA. In the first stage, the DA used a tunable cascode amplifier as the gain cells to extend the bandwidth. Based on simulation results, the proposed DA with a 3-dB bandwidth of 19.5 GHz demonstrates a flat power gain (S21) of $12+1 text{dB}$. Throughout the frequency range, S11 and S22 of the DA are below than −10 dB. The noise figure (NF) varies between 5 ∼ 6.75 dB and the average third-order input intercept point (IIP3) in the operating band is −3.75 dBm. The proposed DA consumes a DC power of 25 mW from a 1-V supply.
{"title":"A Low-Power Tapered Matrix Distributed Amplifier for Ultra-Wide-Band Applications","authors":"Mehrdad Harifi-Mood, Somayye Abbasi Avval, Abolfazl Bijari, Nabeeh Kandalaft","doi":"10.1109/IEMCON51383.2020.9284842","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284842","url":null,"abstract":"A fully integrated tapered matrix distributed amplifier (DA) for broadband applications is presented in this paper. The DA is designed in the TSMC 180 nm CMOS RF process. For the gain improvement, the proposed DA employs a matrix architecture to take advantage of the additive and multiplicative gain mechanisms simultaneously. In addition, tapered transmission line technique is used to mitigate power consumption. Also, the terminating resistor of the input transmission line is replaced with an optimized RL-network to ameliorate the noise curve of the DA. In the first stage, the DA used a tunable cascode amplifier as the gain cells to extend the bandwidth. Based on simulation results, the proposed DA with a 3-dB bandwidth of 19.5 GHz demonstrates a flat power gain (S21) of $12+1 text{dB}$. Throughout the frequency range, S11 and S22 of the DA are below than −10 dB. The noise figure (NF) varies between 5 ∼ 6.75 dB and the average third-order input intercept point (IIP3) in the operating band is −3.75 dBm. The proposed DA consumes a DC power of 25 mW from a 1-V supply.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"1 1","pages":"0815-0820"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78933175","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284830
Changshi Yang, Xianping Wang, Ying Luo, G. Stefanek
In the transition of courses from face-to-face to distance learning during the COVID-19 pandemic, students doing labs at home becomes a major challenge. In this paper, we proposed a feasible solution of building a low-cost portable IT laboratory with Windows-to-Go installed on a USB 3.1 flash drive. To verify the feasibility and usability of this portable IT laboratory, we setup two systems on a single test computer for performance comparison — Windows-to-Go installed on a USB 3.1 flash drive and Windows 10 installed on an internal SSD. Focusing on the needs of IT discipline, we manually compared the performance of installing, executing normal IT software and other common IT tasks on both systems. We also compared their performance benchmarks by PassMark. The experiment results show that this low-cost portable IT laboratory can be used as a candidate solution for students doing labs at home.
在2019冠状病毒病大流行期间,在课程从面对面学习向远程学习过渡的过程中,学生在家做实验成为一项重大挑战。在本文中,我们提出了一个可行的解决方案,即在USB 3.1闪存驱动器上安装Windows-to-Go,建立一个低成本的便携式IT实验室。为了验证这个便携式IT实验室的可行性和可用性,我们在一台测试计算机上设置了两个系统进行性能比较-安装在USB 3.1闪存驱动器上的Windows- To - go和安装在内部SSD上的Windows 10。专注于IT规程的需求,我们手动比较了在两个系统上安装、执行正常IT软件和其他常见IT任务的性能。我们还通过PassMark比较了它们的性能基准。实验结果表明,这种低成本的便携式IT实验室可以作为学生在家做实验的备选解决方案。
{"title":"Overcome IT Lab Challenge in COVID-19 with Windows-to-Go","authors":"Changshi Yang, Xianping Wang, Ying Luo, G. Stefanek","doi":"10.1109/IEMCON51383.2020.9284830","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284830","url":null,"abstract":"In the transition of courses from face-to-face to distance learning during the COVID-19 pandemic, students doing labs at home becomes a major challenge. In this paper, we proposed a feasible solution of building a low-cost portable IT laboratory with Windows-to-Go installed on a USB 3.1 flash drive. To verify the feasibility and usability of this portable IT laboratory, we setup two systems on a single test computer for performance comparison — Windows-to-Go installed on a USB 3.1 flash drive and Windows 10 installed on an internal SSD. Focusing on the needs of IT discipline, we manually compared the performance of installing, executing normal IT software and other common IT tasks on both systems. We also compared their performance benchmarks by PassMark. The experiment results show that this low-cost portable IT laboratory can be used as a candidate solution for students doing labs at home.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"29 1","pages":"0791-0796"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74284494","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284876
K. Shaukat, Talha Mahboob Alam, M. Ahmed, S. Luo, I. Hameed, Muhammad Shahid Iqbal, Jiaming Li, Muhammad Atif Iqbal
We live in a world where data is expanding exponentially. Most of the data is unstructured when obtained through the web. Many organizations, institutes, and governments worldwide gather public views regarding their products, services, or policies. With thousands of reviews about some product, service, or policy, it is impossible to conclude some kind of final thought from it. To handle this, there is a desperate need for a model that can extract meaningful information from data to make correct and timely decisions for the efficient growth of business and smooth running of an organization or government. Otherwise, the practice of collecting and storing data will be ineffective. In this study, we focused on conducting an extensive public survey on issues of Southern Punjab, carry out appropriate processing on collected data and predict trends in public opinion for decision-making. Natural Language Processing (NLP) and Machine Learning (ML) have dealt with this problem. Different data preprocessing techniques have been utilized to remove the noise from data. Our experiments stated that unemployment, poverty, education, and corruption are the major issues of the targeted region. This study will help government officials and non-governmental organizations to be focused on the extracted issues in the specific region.
{"title":"A Model to Enhance Governance Issues through Opinion Extraction","authors":"K. Shaukat, Talha Mahboob Alam, M. Ahmed, S. Luo, I. Hameed, Muhammad Shahid Iqbal, Jiaming Li, Muhammad Atif Iqbal","doi":"10.1109/IEMCON51383.2020.9284876","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284876","url":null,"abstract":"We live in a world where data is expanding exponentially. Most of the data is unstructured when obtained through the web. Many organizations, institutes, and governments worldwide gather public views regarding their products, services, or policies. With thousands of reviews about some product, service, or policy, it is impossible to conclude some kind of final thought from it. To handle this, there is a desperate need for a model that can extract meaningful information from data to make correct and timely decisions for the efficient growth of business and smooth running of an organization or government. Otherwise, the practice of collecting and storing data will be ineffective. In this study, we focused on conducting an extensive public survey on issues of Southern Punjab, carry out appropriate processing on collected data and predict trends in public opinion for decision-making. Natural Language Processing (NLP) and Machine Learning (ML) have dealt with this problem. Different data preprocessing techniques have been utilized to remove the noise from data. Our experiments stated that unemployment, poverty, education, and corruption are the major issues of the targeted region. This study will help government officials and non-governmental organizations to be focused on the extracted issues in the specific region.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"6 1","pages":"0511-0516"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75762712","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284879
M. Goyal
Several research studies have been devoted for the last two decades to make estimates on or to forecast stock prices. Accurate stock prediction movement is still an open question for many companies and financial organizations. This article analyses the stock market prediction using deep learning model. The empirical results reveal the superiority of the LSTM recurrent deep learning model over Feed forward neural network and time series ARIMA model in terms four prediction metrics i.e. mean square error, root mean square error, mean average error and mean average percent error.
{"title":"Financial Time Series Stock Price Prediction using Deep Learning","authors":"M. Goyal","doi":"10.1109/IEMCON51383.2020.9284879","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284879","url":null,"abstract":"Several research studies have been devoted for the last two decades to make estimates on or to forecast stock prices. Accurate stock prediction movement is still an open question for many companies and financial organizations. This article analyses the stock market prediction using deep learning model. The empirical results reveal the superiority of the LSTM recurrent deep learning model over Feed forward neural network and time series ARIMA model in terms four prediction metrics i.e. mean square error, root mean square error, mean average error and mean average percent error.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"82 9","pages":"0378-0383"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72619549","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284933
Cherechi Ndukwe, M. Iqbal, J. Khan
This paper presents the design and development of a low-cost, open-source LoRa based Supervisory Control and Data Acquisition (SCADA) system for monitoring and control of small-sized microgrids located in remote locations. The proposed system is based on the 4th SCADA generation (IoT based), which features the combination of connectivity of components for data sharing. The proposed system employs LoRa physical level communication as the communication channel, and comprises of voltage and current sensors that act as the field instrumentation devices to acquire electrical parameters from the system. It also features LEDs that represent actuators for control. An Arduino Uno microcontroller is employed as the Remote Terminal Unit (RTU) to receive the parameters and process them for ttransmission. The Chirpstack IOT server, Node-Red, Influxdb, and Grafana are all installed locally on the Raspberry Pi (Master Terminal Unit, MTU) for data processing, storage, monitoring, and remote control of the actuators. The proposed system was set up in the Electrical Engineering Laboratory of the Memorial University to monitor a 130 W, 12 V solar PV panel with batteries Connected for energy storage. The acquired data is published on dashboards created on Grafana for monitoring and control.
本文介绍了一种低成本、开源的基于LoRa的监控和数据采集(SCADA)系统的设计和开发,用于监测和控制位于偏远地区的小型微电网。该系统基于第四代SCADA(基于物联网),其特点是将组件的连接组合在一起,以实现数据共享。该系统采用LoRa物理级通信作为通信通道,并由电压和电流传感器作为现场仪表设备,从系统中获取电气参数。它还具有代表控制执行器的led。采用Arduino Uno微控制器作为远程终端单元(RTU)接收参数并对其进行处理以进行传输。Chirpstack物联网服务器、Node-Red、Influxdb和Grafana都安装在树莓派(Master Terminal Unit, MTU)上,用于数据处理、存储、监控和远程控制执行器。该系统安装在纪念大学的电气工程实验室,用于监测一个130w, 12v的太阳能光伏板,并连接电池进行储能。采集到的数据发布在Grafana上创建的仪表板上,用于监测和控制。
{"title":"Development of a Low-cost LoRa based SCADA system for Monitoring and Supervisory Control of Small Renewable Energy Generation Systems","authors":"Cherechi Ndukwe, M. Iqbal, J. Khan","doi":"10.1109/IEMCON51383.2020.9284933","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284933","url":null,"abstract":"This paper presents the design and development of a low-cost, open-source LoRa based Supervisory Control and Data Acquisition (SCADA) system for monitoring and control of small-sized microgrids located in remote locations. The proposed system is based on the 4th SCADA generation (IoT based), which features the combination of connectivity of components for data sharing. The proposed system employs LoRa physical level communication as the communication channel, and comprises of voltage and current sensors that act as the field instrumentation devices to acquire electrical parameters from the system. It also features LEDs that represent actuators for control. An Arduino Uno microcontroller is employed as the Remote Terminal Unit (RTU) to receive the parameters and process them for ttransmission. The Chirpstack IOT server, Node-Red, Influxdb, and Grafana are all installed locally on the Raspberry Pi (Master Terminal Unit, MTU) for data processing, storage, monitoring, and remote control of the actuators. The proposed system was set up in the Electrical Engineering Laboratory of the Memorial University to monitor a 130 W, 12 V solar PV panel with batteries Connected for energy storage. The acquired data is published on dashboards created on Grafana for monitoring and control.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"59 1","pages":"0479-0484"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72722173","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284824
M.P.M. Dias, U. Udunuwara, R.L. Weragama, P. M. Senadeera
Fault management plays a major role in Telecommunication industry. An effective and efficient response to customer complaints is an essential index of organization's performance. The presented model for the CEMP has the ability to minimize customers' dissatisfaction and on the other hand it can encourage customers to participate in controlling the provided quality of the services. The customer may feel dissatisfied with the service if he or she receives a delayed response. Customers do not know where to fill the complaint, Current complaint handling in the organization still have these problems. Therefore, CEMP was proposed and implemented to solve the customer faults. CEMP was consisted both a mobile application and a web application linking the customer to technician in the field through a management portal. Proposed system has the functionalities of fault/technician tracking, maintain user profile, nearest technician acknowledgement and customer feedback which are beneficial to both customer and the company.
{"title":"Customer Experience Management Platform (CEMP)","authors":"M.P.M. Dias, U. Udunuwara, R.L. Weragama, P. M. Senadeera","doi":"10.1109/IEMCON51383.2020.9284824","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284824","url":null,"abstract":"Fault management plays a major role in Telecommunication industry. An effective and efficient response to customer complaints is an essential index of organization's performance. The presented model for the CEMP has the ability to minimize customers' dissatisfaction and on the other hand it can encourage customers to participate in controlling the provided quality of the services. The customer may feel dissatisfied with the service if he or she receives a delayed response. Customers do not know where to fill the complaint, Current complaint handling in the organization still have these problems. Therefore, CEMP was proposed and implemented to solve the customer faults. CEMP was consisted both a mobile application and a web application linking the customer to technician in the field through a management portal. Proposed system has the functionalities of fault/technician tracking, maintain user profile, nearest technician acknowledgement and customer feedback which are beneficial to both customer and the company.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"126 1","pages":"0677-0680"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76902682","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284939
Leonardo Grando, E. Ursini, Paulo S. Martins
This work seeks to address one of the most critical problems of Flying Ad Hoc Networks (FANET), which is the issue of recharging batteries coordination. For recharges to be carried out in the best possible way, the number of load devices (Base Stations) should not be excessively high so as not to burden the network. On the other hand, it is also necessary that when the drones want to recharge, there must always be a source of energy available. For this, we propose internal estimators that provide intelligence to the drones to try to predict the next charger attendance rate. The drones will not have communication with each other to recharge coordination but will continue to communicate concerning other routine activities (note that this communication is not considered in the scope of this model), that is, for recharging the batteries' coordination, there will be no energy expenditure on communication. The verification of the suitability of the proposal is done through Agent-Based Simulation and the use of three different policies for decision making. This will enable an approach that aims to optimize the operation of the system through a Nash equilibrium.
{"title":"Drones Swarm Recharging: Modeling Using Agent-Based Simulation","authors":"Leonardo Grando, E. Ursini, Paulo S. Martins","doi":"10.1109/IEMCON51383.2020.9284939","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284939","url":null,"abstract":"This work seeks to address one of the most critical problems of Flying Ad Hoc Networks (FANET), which is the issue of recharging batteries coordination. For recharges to be carried out in the best possible way, the number of load devices (Base Stations) should not be excessively high so as not to burden the network. On the other hand, it is also necessary that when the drones want to recharge, there must always be a source of energy available. For this, we propose internal estimators that provide intelligence to the drones to try to predict the next charger attendance rate. The drones will not have communication with each other to recharge coordination but will continue to communicate concerning other routine activities (note that this communication is not considered in the scope of this model), that is, for recharging the batteries' coordination, there will be no energy expenditure on communication. The verification of the suitability of the proposal is done through Agent-Based Simulation and the use of three different policies for decision making. This will enable an approach that aims to optimize the operation of the system through a Nash equilibrium.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"13 1","pages":"0094-0100"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88794703","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 : 2020-11-04DOI: 10.1109/IEMCON51383.2020.9284895
T. Tothong, James Samawi, Ameya Govalkar, K. George
Quadcopters are entering numerous fields of work and require unique functionality for each area that they are deployed. They are also becoming more adaptable to terrain and changes in the environment. For example, a quadcopter that can fold could be used by Search and Rescue teams who need to navigate tight and inaccessible spaces. This paper presents a notable insight into two variants of morphing drones that have been assembled with keeping different morphing modes and mechanisms in mind. The first proposed quadcopter uses servo motors on each propellor arm to achieve a folding motion mid-flight, while the second proposed quadcopter uses a novel method of utilizing micro linear actuators to reduce its size in all directions. Flight data for the proposed quadcopters will be presented, along with comparing total weight, flight time, size reduction, and other parameters with similar morphing quadcopters from the research community.
{"title":"Morphing Quadcopters: A Comparison Between Proposed and Prominent Foldable Quadcopters","authors":"T. Tothong, James Samawi, Ameya Govalkar, K. George","doi":"10.1109/IEMCON51383.2020.9284895","DOIUrl":"https://doi.org/10.1109/IEMCON51383.2020.9284895","url":null,"abstract":"Quadcopters are entering numerous fields of work and require unique functionality for each area that they are deployed. They are also becoming more adaptable to terrain and changes in the environment. For example, a quadcopter that can fold could be used by Search and Rescue teams who need to navigate tight and inaccessible spaces. This paper presents a notable insight into two variants of morphing drones that have been assembled with keeping different morphing modes and mechanisms in mind. The first proposed quadcopter uses servo motors on each propellor arm to achieve a folding motion mid-flight, while the second proposed quadcopter uses a novel method of utilizing micro linear actuators to reduce its size in all directions. Flight data for the proposed quadcopters will be presented, along with comparing total weight, flight time, size reduction, and other parameters with similar morphing quadcopters from the research community.","PeriodicalId":6871,"journal":{"name":"2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"5 1","pages":"0589-0596"},"PeriodicalIF":0.0,"publicationDate":"2020-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85024112","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}