Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216341
Shahriar Khan
New developments in voice and facial video generation suggest we are at the verge of a new breakthrough in audio and visual interactive companionship. Today's computer-interactive voices (Alexa and Google Assistant) are largely repetitive, robot-like, and all-knowing, sometimes making them tiring and monotonous. The challenge is to better simulate the human voice and personality, with a face generating the voice. Covid and sprawling cities are making people increasingly isolated. A game or program on TV can be better enjoyed when accompanied by a computer companion. Other than companionship for entertainment, there can be companionship for therapy, such as at a hospital or at an old-age home. Personalities of famous people such as scientists, statesmen, actors, and sportsmen can be recreated. The computer voice can be a training ground for social etiquette for children and adults. A simulated baby voice can be used for training would-be parents. A simulated patient's voice can be used for training doctors and nurses. With videoconferencing being the new norm in these times of Covid, the simulated voice and video will appear more real than before. The bonding of humans with the computer voice raises ethical questions about whether this could become addictive, and whether details of the interaction can be used by the company and the government. Ominously, can the simulated voice of a child become the face of the government, using the data to profile or even arrest users? Could the government use the voice to inspire users to be hard working, law abiding, and tax-paying citizens? It is expected that market forces will prevail, and companionship with the computer voice and video will prevail. We must find ways to regulate computer voice, video and companionship for the greater good.
{"title":"Audiovisual Interactive Companionship; The Next Breakthrough in Computers","authors":"Shahriar Khan","doi":"10.1109/IEMTRONICS51293.2020.9216341","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216341","url":null,"abstract":"New developments in voice and facial video generation suggest we are at the verge of a new breakthrough in audio and visual interactive companionship. Today's computer-interactive voices (Alexa and Google Assistant) are largely repetitive, robot-like, and all-knowing, sometimes making them tiring and monotonous. The challenge is to better simulate the human voice and personality, with a face generating the voice. Covid and sprawling cities are making people increasingly isolated. A game or program on TV can be better enjoyed when accompanied by a computer companion. Other than companionship for entertainment, there can be companionship for therapy, such as at a hospital or at an old-age home. Personalities of famous people such as scientists, statesmen, actors, and sportsmen can be recreated. The computer voice can be a training ground for social etiquette for children and adults. A simulated baby voice can be used for training would-be parents. A simulated patient's voice can be used for training doctors and nurses. With videoconferencing being the new norm in these times of Covid, the simulated voice and video will appear more real than before. The bonding of humans with the computer voice raises ethical questions about whether this could become addictive, and whether details of the interaction can be used by the company and the government. Ominously, can the simulated voice of a child become the face of the government, using the data to profile or even arrest users? Could the government use the voice to inspire users to be hard working, law abiding, and tax-paying citizens? It is expected that market forces will prevail, and companionship with the computer voice and video will prevail. We must find ways to regulate computer voice, video and companionship for the greater good.","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":"130933427","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/IEMTRONICS51293.2020.9216408
M. Zamanlou, M. Iqbal
In this paper, we developed a cost-effective SCADA system for a solar water pumping system in Iran. The SCADA is based on IoT versions and is comprised of a raspberry pi zero W, Arduino nano, camera, SIM 5320A 3G module, voltage, current, and light sensors. We used Node-RED to design a graphical user interface and published it securely to the worldwide internet. This allows a user to connect to the server via an IP address and monitor and control the system. The implementation of the project resulted in an open-source server and cost around CAD$ 162.38.
{"title":"Development of an Economical SCADA System for Solar Water Pumping in Iran","authors":"M. Zamanlou, M. Iqbal","doi":"10.1109/IEMTRONICS51293.2020.9216408","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216408","url":null,"abstract":"In this paper, we developed a cost-effective SCADA system for a solar water pumping system in Iran. The SCADA is based on IoT versions and is comprised of a raspberry pi zero W, Arduino nano, camera, SIM 5320A 3G module, voltage, current, and light sensors. We used Node-RED to design a graphical user interface and published it securely to the worldwide internet. This allows a user to connect to the server via an IP address and monitor and control the system. The implementation of the project resulted in an open-source server and cost around CAD$ 162.38.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"4 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":"115508080","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/IEMTRONICS51293.2020.9216345
Satvik Dasari
According to the Centers for Disease Control and Prevention, 34.2 million Americans have diabetes, which is 10.5% of the US population. Additionally, 88 million or 34.5% of the US adult population have prediabetes. People with diabetes are required to monitor their sugar levels periodically to avoid hypoglycemia (low blood sugar) or hyperglycemia (high blood sugar). The most common method to measure glucose levels is invasive and involves pricking fingers. Although there are noninvasive methods, they are very expensive. This paper proposes an innovative noninvasive system to measure glucose levels in blood using sensors, a microcontroller, Cloud, and mobile technology. Mechanisms built into this device send alerts to caregivers if glucose levels are unsafe. The glucose monitoring system is also integrated into an Internet of Things (IoT) analytics platform that shows continuous and historical data. The solution is low-cost, easy to use, and allows continuous monitoring. The prototype was validated using a dextrose solution and real-time readings. The results show a close relationship between actual glucose levels and the data collected from the noninvasive glucometer.
{"title":"Ichor - an IoT, Cloud, and Mobile Technologies Based Noninvasive Glucose Monitoring System","authors":"Satvik Dasari","doi":"10.1109/IEMTRONICS51293.2020.9216345","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216345","url":null,"abstract":"According to the Centers for Disease Control and Prevention, 34.2 million Americans have diabetes, which is 10.5% of the US population. Additionally, 88 million or 34.5% of the US adult population have prediabetes. People with diabetes are required to monitor their sugar levels periodically to avoid hypoglycemia (low blood sugar) or hyperglycemia (high blood sugar). The most common method to measure glucose levels is invasive and involves pricking fingers. Although there are noninvasive methods, they are very expensive. This paper proposes an innovative noninvasive system to measure glucose levels in blood using sensors, a microcontroller, Cloud, and mobile technology. Mechanisms built into this device send alerts to caregivers if glucose levels are unsafe. The glucose monitoring system is also integrated into an Internet of Things (IoT) analytics platform that shows continuous and historical data. The solution is low-cost, easy to use, and allows continuous monitoring. The prototype was validated using a dextrose solution and real-time readings. The results show a close relationship between actual glucose levels and the data collected from the noninvasive glucometer.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"394 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":"123539527","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/IEMTRONICS51293.2020.9216393
N. V. Joshi, S. P. Joshi, Malhar S. Jojare, Neel S. Joshi, A. Askhedkar
As mentioned in the global two-wheeler market report, the two-wheeler market is projected to surpass $ 125 billion by 2024. According to WHO statistics, approximately 1.35 million people die each year as a result of road traffic crashes. And more than half of those are pedestrians, cyclists, and motorcyclists. Correct helmet use can lead to a 42 percent reduction in risk of fatal injuries and a 69 percent reduction in the risk of head injuries. These are concerning statistics. These growing numbers call forth new and upcoming technological advancements concerning the safety of the users. The main reason behind coming up with this smart helmet is the very issue of safety. The main objective of the project is to build a smart system which is integrated with sensors and modules for the safety of the user. While working on improving the safety of riders, it was ensured that its aesthetics and ergonomics are not compromised.
{"title":"Design and Finite Element Analysis of IoT based Smart Helmet","authors":"N. V. Joshi, S. P. Joshi, Malhar S. Jojare, Neel S. Joshi, A. Askhedkar","doi":"10.1109/IEMTRONICS51293.2020.9216393","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216393","url":null,"abstract":"As mentioned in the global two-wheeler market report, the two-wheeler market is projected to surpass $ 125 billion by 2024. According to WHO statistics, approximately 1.35 million people die each year as a result of road traffic crashes. And more than half of those are pedestrians, cyclists, and motorcyclists. Correct helmet use can lead to a 42 percent reduction in risk of fatal injuries and a 69 percent reduction in the risk of head injuries. These are concerning statistics. These growing numbers call forth new and upcoming technological advancements concerning the safety of the users. The main reason behind coming up with this smart helmet is the very issue of safety. The main objective of the project is to build a smart system which is integrated with sensors and modules for the safety of the user. While working on improving the safety of riders, it was ensured that its aesthetics and ergonomics are not compromised.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"30 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":"128415336","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/IEMTRONICS51293.2020.9216420
O. Dogan, F. Uysal, P. Hoogeboom, P. Lopez Dekker, Yuanhao Li
This paper discusses the design details of a high resolution, low "Size, Weight, Power and Cost" (SWaP-C) radar altimeter (RA) system. Operating frequency of the radar is chosen within the Ka-band to achieve the desired size and weight requirements, that are highly demanded for the small satellite missions in a cost-efficient way. We propose a system design such that, an intended radar altimeter can be built by using the Commercial off the Shelf (COTS) components. The simulation results show that the proposed RA has high potentiality for realization.
{"title":"A Low SWaP-C Radar Altimeter Transceiver Design for Small Satellites","authors":"O. Dogan, F. Uysal, P. Hoogeboom, P. Lopez Dekker, Yuanhao Li","doi":"10.1109/IEMTRONICS51293.2020.9216420","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216420","url":null,"abstract":"This paper discusses the design details of a high resolution, low \"Size, Weight, Power and Cost\" (SWaP-C) radar altimeter (RA) system. Operating frequency of the radar is chosen within the Ka-band to achieve the desired size and weight requirements, that are highly demanded for the small satellite missions in a cost-efficient way. We propose a system design such that, an intended radar altimeter can be built by using the Commercial off the Shelf (COTS) components. The simulation results show that the proposed RA has high potentiality for realization.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"29 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":"129008171","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/IEMTRONICS51293.2020.9216394
Kevin Matthe Caramancion
To further reduce the pervasiveness of fake news on social networking sites and increase content integrity, an important yet one of the most basic of defenses has be explored—content descriptors. This paper investigates the effects of content descriptors in aiding the human factor against disinformation attacks through its recognition. An explicit fake news test was employed to assess the users on how they use these descriptors as contextual clues in categorizing specific contents as either legitimate or misleading. The results of this study reveal the varying effect of contextual clues in a population to recognize fake news.
{"title":"Understanding the Impact of Contextual Clues in Misinformation Detection","authors":"Kevin Matthe Caramancion","doi":"10.1109/IEMTRONICS51293.2020.9216394","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216394","url":null,"abstract":"To further reduce the pervasiveness of fake news on social networking sites and increase content integrity, an important yet one of the most basic of defenses has be explored—content descriptors. This paper investigates the effects of content descriptors in aiding the human factor against disinformation attacks through its recognition. An explicit fake news test was employed to assess the users on how they use these descriptors as contextual clues in categorizing specific contents as either legitimate or misleading. The results of this study reveal the varying effect of contextual clues in a population to recognize fake news.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"81 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":"128758796","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/IEMTRONICS51293.2020.9216459
Mohamed E. Albira, Abdullah M. Alzahrani, M. Zohdy
This paper presents a speed control of a buck converter driven a direct current (DC) motor. The speed control is designed and programmed to compute a constrained model predictive controller (MPC) algorithm that regulates a reliably constant and accurate speed in the presence of different value of load torque. The challenge of regulating speed under variable load torques is solved by using the predicted discrete averaged state space model and the predicted constrained input control signal. The proposed strategy uses the output feedback signal to the MPC to first predict the state vector and the input control signal that are fed to the DC-DC buck converter to adjust the required output voltage and current, then fed to the permanent magnet DC-motor. Since the DC-motor output speed signal varies, a constrained input control signal applied to the DC-DC converter to keep the control signal limited between boundaries of 0-1. This process is fulfilled by computing the quadratic programming (QP) optimization algorithm at each prediction horizon interval. MATLAB and Simulink were used to obtain the simulated results and output figures.
{"title":"Model Predictive Speed Control of DC-DC Buck Converter Driven DC-motor with Various Load Torque Values","authors":"Mohamed E. Albira, Abdullah M. Alzahrani, M. Zohdy","doi":"10.1109/IEMTRONICS51293.2020.9216459","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216459","url":null,"abstract":"This paper presents a speed control of a buck converter driven a direct current (DC) motor. The speed control is designed and programmed to compute a constrained model predictive controller (MPC) algorithm that regulates a reliably constant and accurate speed in the presence of different value of load torque. The challenge of regulating speed under variable load torques is solved by using the predicted discrete averaged state space model and the predicted constrained input control signal. The proposed strategy uses the output feedback signal to the MPC to first predict the state vector and the input control signal that are fed to the DC-DC buck converter to adjust the required output voltage and current, then fed to the permanent magnet DC-motor. Since the DC-motor output speed signal varies, a constrained input control signal applied to the DC-DC converter to keep the control signal limited between boundaries of 0-1. This process is fulfilled by computing the quadratic programming (QP) optimization algorithm at each prediction horizon interval. MATLAB and Simulink were used to obtain the simulated results and output figures.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"68 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":"126736756","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/IEMTRONICS51293.2020.9216333
Tristan Jordan, H. Elgazzar
Predicting stock market price movements can be a difficult task for traditional algorithms as random events can vastly change a stock’s value. The goal of this research project is to design machine learning algorithms to predict these changes based upon communal discussion. The discussions that are being analyzed will be from forum posts of users that have varying levels of involvement with the company of focus. The posts themselves should contain information related to the current events, problems, community sentiment and other factors that would influence buyers and sellers. The proposed algorithm to make these predictions with a recurrent neural network (RNN) that will be able to analyze patterns in word use and order, placing reactions to forum posts into a category based upon expected price movement over various lengths of time. These methods show promise in predicting performance over many time frames.
{"title":"Stock Market Prediction using Text-based Machine Learning","authors":"Tristan Jordan, H. Elgazzar","doi":"10.1109/IEMTRONICS51293.2020.9216333","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216333","url":null,"abstract":"Predicting stock market price movements can be a difficult task for traditional algorithms as random events can vastly change a stock’s value. The goal of this research project is to design machine learning algorithms to predict these changes based upon communal discussion. The discussions that are being analyzed will be from forum posts of users that have varying levels of involvement with the company of focus. The posts themselves should contain information related to the current events, problems, community sentiment and other factors that would influence buyers and sellers. The proposed algorithm to make these predictions with a recurrent neural network (RNN) that will be able to analyze patterns in word use and order, placing reactions to forum posts into a category based upon expected price movement over various lengths of time. These methods show promise in predicting performance over many time frames.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"258 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":"114265512","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/IEMTRONICS51293.2020.9216452
K. Ganesh, Vilas H. Gaidhane
Over the last few decades, technology have seamlessly transfer from Aluminium to Copper, as aluminium has deemed as an unsuitable metal when it is in the nanoscale due to associated drawbacks. Although with the challenge of having to replace copper, it has been one of the most consistent materials in the wire dimension area. However, getting a material as ideal as copper is proving to be more inefficient as scale down the wire deeper. There has been a spurt in the research of Tungsten (W) and its Oxides (WOx) as a potential replacement to the issues posed by copper. In general, tungsten has been proven to be superior to most existing interconnect materials and has been only put behind Silver and Copper. However, as technology reach the nanoscale, there has been increasing studies on how to fabricate tungsten and its subsidiaries as an alternate to other materials. The purpose of this research is to study Tungsten and other existing interconnect materials and compare them on theoretical and observational basis. The number of simulations has been carried out using the COMSOL software in various environments in order to see how tungsten behaves in all environments and propose whether it is suitable in the upcoming generation of ICs and beyond.
{"title":"Tungsten as an Interconnect Material for NextGeneration IC Design","authors":"K. Ganesh, Vilas H. Gaidhane","doi":"10.1109/IEMTRONICS51293.2020.9216452","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216452","url":null,"abstract":"Over the last few decades, technology have seamlessly transfer from Aluminium to Copper, as aluminium has deemed as an unsuitable metal when it is in the nanoscale due to associated drawbacks. Although with the challenge of having to replace copper, it has been one of the most consistent materials in the wire dimension area. However, getting a material as ideal as copper is proving to be more inefficient as scale down the wire deeper. There has been a spurt in the research of Tungsten (W) and its Oxides (WOx) as a potential replacement to the issues posed by copper. In general, tungsten has been proven to be superior to most existing interconnect materials and has been only put behind Silver and Copper. However, as technology reach the nanoscale, there has been increasing studies on how to fabricate tungsten and its subsidiaries as an alternate to other materials. The purpose of this research is to study Tungsten and other existing interconnect materials and compare them on theoretical and observational basis. The number of simulations has been carried out using the COMSOL software in various environments in order to see how tungsten behaves in all environments and propose whether it is suitable in the upcoming generation of ICs and beyond.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"6 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":"131260370","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/IEMTRONICS51293.2020.9216371
I. Normatov, E. Kamolov
An algorithm has been developed to optimize the technological process of kaolin enrichment, based on the fuzzy sets theory; it allows evaluating the objects according to the grade of membership in a certain class and the gradient method. The dependences of the gradient values and the redistribution of the weights on initial values, as well as on the degree of correlation of the distributions of these weights, are considered in the paper.
{"title":"Development of an algorithm for optimizing the technological process of kaolin enrichment","authors":"I. Normatov, E. Kamolov","doi":"10.1109/IEMTRONICS51293.2020.9216371","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216371","url":null,"abstract":"An algorithm has been developed to optimize the technological process of kaolin enrichment, based on the fuzzy sets theory; it allows evaluating the objects according to the grade of membership in a certain class and the gradient method. The dependences of the gradient values and the redistribution of the weights on initial values, as well as on the degree of correlation of the distributions of these weights, are considered in the paper.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"99 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":"131482951","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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