Hugh McCullough, Lisbeth Vallecilla-Yepez, Zhipeng Wu, H. Vakilzadian
{"title":"Reproduction, Optimization, and Translation of a Dynamic Model of High Biomass Ethanol Fermentation to Support Variable Temperature","authors":"Hugh McCullough, Lisbeth Vallecilla-Yepez, Zhipeng Wu, H. Vakilzadian","doi":"10.1109/EIT51626.2021.9491921","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491921","url":null,"abstract":"In this paper, the effect of a variable temperature fermentation model was studied. We identified a model which considers substrate, product, and biomass inhibition, as well as an active and inactive cell phase of the yeast Saccharomyces cerevisiae. The model was evaluated using MATLAB at five different temperatures (28, 31, 34, 37, and 40°C). In the proposed model, we optimized the results through parameter fitting and compared it to the initial model which failed to simulate cell death. Through this work, we were able to improve the fit of the model considerably by 33% decrease, in the residual standard deviation. We also found that a smaller range of temperature performs better by maintaining the ethanol concentration and decreasing the temperature through the fermentation. Our model can show fermentation over a change in temperature over time and can show how fermentations will perform with temperature change.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"388 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116523016","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}
{"title":"A Brief Review of Signal Processing for EEG-based BCI: Approaches and Opportunities","authors":"Ali Haider","doi":"10.1109/EIT51626.2021.9491924","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491924","url":null,"abstract":"In every society, people with disabilities need to communicate with others. However, their economic and educational status are predominantly limited by the unavailability of tools and technologies to satisfy their special needs. There is a necessity for technological solutions to constantly increase to overcome their difficulties with everyday activities. Recent days, Brain-computer Interface (BCI) has drawn attention of many researchers as a hands-free tool which can help motion impaired people to control devices, express their opinions and ideas, and communicate with others. The real-time control of sensors and actuators can be implemented using BCI at the expense of high computational resources. In fact, the evolution of brain technology has offered limitless opportunities and possibilities for impaired as well as healthy members to contribute and participate in the society. With the help of human brain signals or an electroencephalogram (EEG), brain activity in the neocortex is measured as voltage differences over the scalp. Information on subjects’ intentions and thoughts is encompassed by EEG electrical patterns, which is decoded as important signatures of brain activity. The status quo BCI technology and associated signal processing schemes are advancing fast. It will also improve control of devices in space, people’s lives in e-home, or communication in novel ways. This manuscript presents the EEG signal processing and classification techniques to design BCI system as a control or communication device.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123946029","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}
{"title":"An Algorithm to solve a Facility Location Problem using a Discrete Approximation to the Voronoi Diagram","authors":"C. Trefftz, Byron DeVries, Benjamin Jenkins","doi":"10.1109/EIT51626.2021.9491915","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491915","url":null,"abstract":"Identifying optimal locations for new facilities is a common, yet paramount, task in fields as diverse as communications (e.g., cell phone towers) to business (e.g., store locations). Problematically, identifying optimal locations is computationally expensive. In this paper, we propose a novel algorithm to solve the facility localization problem based on a parallelizable discrete approximation of a Voronoi diagram, rather than previously considered exact Voronoi diagram calculations. The growth in execution time across increasing numbers of facilities and increasing geographic planes are empirically analyzed. Finally, the execution time of sequential and parallel implementations is compared across a variety of two-dimensional problem sizes illustrating substantial speedup.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115829917","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}
{"title":"Real Time Implementation and Experiments of Multi-channel Active Noise Control System for ICU","authors":"Lichuan Liu, Qiang Su, Wei Li, S. Kuo","doi":"10.1109/EIT51626.2021.9491916","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491916","url":null,"abstract":"The purpose of this study is to help reduce high noise levels experienced by patients in intensive care unit (ICU) environments. The study has designed and developed the active noise control (ANC) system based on filtered x least mean square (FxLMS) to reduce the interfering noise around ICU patients’ beds. A multi-channel feed-forward ANC algorithm has been implemented in a real-time digital signal processing system based on TMS320 DSP C6713. This noise cancellation system has been tested in a patient bed with recorded real ICU noise as the noise source to mimic the ICU noisy environment. The experiment setup has been presented. The real-time experiment results show that ANC is a promising solution to solve high noise level problem inside ICU.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"52 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114045661","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}
Saber Kazeminasab, Vahid Janfaza, Moein Razavi, M. Banks
{"title":"Smart Navigation for an In-pipe Robot Through Multi-phase Motion Control and Particle Filtering Method","authors":"Saber Kazeminasab, Vahid Janfaza, Moein Razavi, M. Banks","doi":"10.1109/EIT51626.2021.9491887","DOIUrl":"https://doi.org/10.1109/EIT51626.2021.9491887","url":null,"abstract":"In-pipe robots are promising solutions for condition assessment, leak detection, water quality monitoring in a variety of other tasks in pipeline networks. Smart navigation is an extremely challenging task for these robots as a result of highly uncertain and disturbing environment for operation. Wireless communication to control these robots during operation is not feasible if the pipe material is metal since the radio signals are destroyed in the pipe environment, and hence, this challenge is still unsolved. In this paper, we introduce a method for smart navigation for our previously designed in-pipe robot [1] based on particle filtering and a two-phase motion controller. The robot is given the map of the operation path with a novel approach and the particle filtering determines the straight and non-straight configurations of the pipeline. In the straight paths, the robot follows a linear quadratic regulator (LQR) and proportional- integral-derivative (PID) based controller that stabilizes the robot and tracks a desired velocity. In non-straight paths, the robot follows the trajectory that a motion trajectory generator block plans for the robot. The proposed method is a promising solution for smart navigation without the need for wireless communication and capable of inspecting long distances in water distribution systems.","PeriodicalId":162816,"journal":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121033036","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}