{"title":"Uncovering of learner’s confusion using EEG Data during online learning","authors":"Rashmi Gupta, Jeetendra Kumar","doi":"10.1109/ICNTE56631.2023.10146659","DOIUrl":"https://doi.org/10.1109/ICNTE56631.2023.10146659","url":null,"abstract":"Confusion is a very common phenomenon during learning. Sometimes learners are not able to grasp the actual idea of whatever they are being taught. Confusion is a symptom that makes you feel that you cannot think clearly. The proposed work is based on the detection of the confused mental state of students during online learning. For this purpose, a publicly available dataset has been used. After truncating the data points to the same size, Bidirectional LSTM(Long Short Term Memory) network has been used to classify, whether the student was confused or not. Using the proposed method, 75% accuracy was achieved. We have also analyzed the effect of different epoch sizes and size of validation split on the accuracy and it has been found that the highest accuracy was achieved on epoch size 80 and validation split 80:20. The proposed work is able to detect learners' confusion using EEG data what will help the course designer to design the course accordingly.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126697752","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":"Simulation Of Multilevel Inverter With Six Switches","authors":"Divya Sajeesh","doi":"10.1109/ICNTE56631.2023.10146730","DOIUrl":"https://doi.org/10.1109/ICNTE56631.2023.10146730","url":null,"abstract":"Many industrial applications demand an inverter for its faithful and smooth operation. Research is going on to make the inverter more efficient. As the industry demand is to get more power with reduced harmonics, a Multilevel Inverter (MLI) is a viable solution. In an MLI output voltage is derived from multiple dc voltage sources connected at the input side. The higher the number of levels for the inverter, the lesser will be the harmonics present in the output voltage but the number of switch and associated auxiliary requirements will increase. MATLAB simulation was performed with a five-level cascaded H Bridge Multilevel Inverter (CHB-MLI) with eight switches. Later to improve the performance and efficiency of the inverter the count of switches was reduced to six and simulations were performed on the modified version. The control technique used for pulse generation is Phase disposition pulse width modulation(PD-PWM. Simulation of both inverters using MATLAB Simulink was performed and comparison of THD results are presented.","PeriodicalId":158124,"journal":{"name":"2023 5th Biennial International Conference on Nascent Technologies in Engineering (ICNTE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126839649","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}