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Implementation of a remote system for the supervision of online exams through the use of cameras with artificial intelligence 通过使用具有人工智能的摄像机，实现远程系统对在线考试的监督
2021 IEEE Engineering International Research Conference (EIRCON) Pub Date : 2021-10-27 DOI: 10.1109/EIRCON52903.2021.9613352
Alfredo Barrientos, Miguel Cuadros, Jean Alba, Á. Cruz
{"title":"Implementation of a remote system for the supervision of online exams through the use of cameras with artificial intelligence","authors":"Alfredo Barrientos, Miguel Cuadros, Jean Alba, Á. Cruz","doi":"10.1109/EIRCON52903.2021.9613352","DOIUrl":"https://doi.org/10.1109/EIRCON52903.2021.9613352","url":null,"abstract":"Camcorders today are no longer considered simple tools that allow us to digitally capture unforgettable moments and memories. These devices, currently, are being used by different entities, companies, institutions and individuals to control and monitor under a physical security management system that gives them a clarity of the existing landscape around them, as well as obtaining clear evidence that compromise their reputation and identification of internal or foreign individuals to them. The analysis of the present project evaluated to reveal the causes of the main problem in the face of the imminent growth in the number of university students who copy during the development of online exams. In accordance with the aforementioned, in this research project we propose the use of advanced image analysis that through learning models manage to detect suspicious behavior pat-terns in real time that will alert students in case of plagiarism.","PeriodicalId":403519,"journal":{"name":"2021 IEEE Engineering International Research Conference (EIRCON)","volume":"77 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131262288","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}
引用次数: 1
Evaluation of Principal Component Analysis Algorithm for Locomotion Activities Detection in a Tiny Machine Learning Device 小型机器学习设备中运动活动检测主成分分析算法的评价
2021 IEEE Engineering International Research Conference (EIRCON) Pub Date : 2021-10-27 DOI: 10.1109/EIRCON52903.2021.9613450
Ricardo Yauri, R. Acosta, Marco Jurado, Milton Rios
{"title":"Evaluation of Principal Component Analysis Algorithm for Locomotion Activities Detection in a Tiny Machine Learning Device","authors":"Ricardo Yauri, R. Acosta, Marco Jurado, Milton Rios","doi":"10.1109/EIRCON52903.2021.9613450","DOIUrl":"https://doi.org/10.1109/EIRCON52903.2021.9613450","url":null,"abstract":"Data generated by human locomotion activities is a process that involves the analysis of hundreds or thousands of data in a reduced time, due to the very nature of the signals generated and the techniques for implementing classification models and event detection. It is advisable to try to reduce the number of characteristics or select the most important elements of the captured signals showing, in this paper, the use of principal component analysis (PCA) techniques. The use of machine learning techniques for reduced hardware devices in intelligent environments, allows generating a solution for the non-invasive supervision of activities, complementing the use of PCA with other classification algorithms suitable for the treatment of data with a high number of characteristics such as support vector machines (SVM). Therefore, the evaluation of PCA processes and SVM algorithms is shown, selecting the one that has the best performance during its implementation in IoT devices with low hardware resources. Finally, it is considered that the memory space consumed in the IoT device and the execution time of the processes are critical elements to make the comparison and contrast of the PCA models, allowing to select and develop a reliable and efficient model in small devices of IoT.","PeriodicalId":403519,"journal":{"name":"2021 IEEE Engineering International Research Conference (EIRCON)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132638237","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}
引用次数: 2
Adaptive wavelet neural network for short-term wind farm forecast 自适应小波神经网络用于风电场短期预报
2021 IEEE Engineering International Research Conference (EIRCON) Pub Date : 2021-10-27 DOI: 10.1109/EIRCON52903.2021.9613642
Jennifer Vanessa Mejía Lara, R. Velásquez
{"title":"Adaptive wavelet neural network for short-term wind farm forecast","authors":"Jennifer Vanessa Mejía Lara, R. Velásquez","doi":"10.1109/EIRCON52903.2021.9613642","DOIUrl":"https://doi.org/10.1109/EIRCON52903.2021.9613642","url":null,"abstract":"In this research article, it has been implemented an spatio-temporal active power (AP) forecast based on the Kriging theory and Adaptive wavelet neural network (AWNN) by using Julia Programming; it considers the wind speed (WS) characteristics of highly stochastic and random features with non-stationary data, with data calibrated with 21 years of data (2000 to 2021); it is considered with the influence; the physical model is structured by Kriging theory for the wind speed at hub height, according the manufacturer curve in the wind farm, the model is a input in the statistical model for the active power forecast. Our findings are the improved accuracy compared with the ARX 72.4%, ARMAX 75.5% and fuzzy 81.1% approaches, by using spatio-temporal wind forecasts, the accuracy is increased as 89.2%.","PeriodicalId":403519,"journal":{"name":"2021 IEEE Engineering International Research Conference (EIRCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133637325","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}
引用次数: 1
Towards more Interactive Recordings for E-leaming Using Browser Automation 使用浏览器自动化实现电子学习的交互式录音
2021 IEEE Engineering International Research Conference (EIRCON) Pub Date : 2021-10-27 DOI: 10.1109/EIRCON52903.2021.9613385
Paul Mendoza del Carpio
{"title":"Towards more Interactive Recordings for E-leaming Using Browser Automation","authors":"Paul Mendoza del Carpio","doi":"10.1109/EIRCON52903.2021.9613385","DOIUrl":"https://doi.org/10.1109/EIRCON52903.2021.9613385","url":null,"abstract":"Empirical studies reveal low learner engagement and high attrition rates in online learning environments. Interactive features enable fostering learner engagement while displaying sequences of actions. This work intends to use a browser automation tool to recording test scripts as implementing an instructor bot for executing user interactions which a learner would follow for course navigation. Popular Learning Management Systems and a purpose-based taxonomy have been used to evaluate the types of interactions which are supported by the proposal. The results show that interaction types were supported for the most part.","PeriodicalId":403519,"journal":{"name":"2021 IEEE Engineering International Research Conference (EIRCON)","volume":"150 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128872422","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}
引用次数: 1
Internet of Things Applications 物联网应用
2021 IEEE Engineering International Research Conference (EIRCON) Pub Date : 2021-10-27 DOI: 10.1109/EIRCON52903.2021.9613595
A. Kostadinov, K. Kolev
{"title":"Internet of Things Applications","authors":"A. Kostadinov, K. Kolev","doi":"10.1109/EIRCON52903.2021.9613595","DOIUrl":"https://doi.org/10.1109/EIRCON52903.2021.9613595","url":null,"abstract":"In this paper Internet of things (IoT) applications were developed and presented. Especially, ultrasonic and flame sensors were connected to the Arduino Uno board with LoRa technology. Information from the sensors was transmitted to LG01 LoRa Gateway. After that, the data were sent to the IoT server where they are stored. The saved data are accessible through the Internet. Communication between all devices was tested under real conditions. The purpose of this publication is to present the compatibility of LoRaWAN for sensor systems with subsequent data analysis in an IoT platform.","PeriodicalId":403519,"journal":{"name":"2021 IEEE Engineering International Research Conference (EIRCON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115172984","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}
引用次数: 0
EcoBot: Virtual assistant for e-commerce of ecological bricks based on Facebook Messenger EcoBot:基于Facebook Messenger的生态砖电商虚拟助手
2021 IEEE Engineering International Research Conference (EIRCON) Pub Date : 2021-10-27 DOI: 10.1109/EIRCON52903.2021.9613191
Renzo Licapa-Rodriguez, Jordann Gomez-Ramos, D. Mauricio
{"title":"EcoBot: Virtual assistant for e-commerce of ecological bricks based on Facebook Messenger","authors":"Renzo Licapa-Rodriguez, Jordann Gomez-Ramos, D. Mauricio","doi":"10.1109/EIRCON52903.2021.9613191","DOIUrl":"https://doi.org/10.1109/EIRCON52903.2021.9613191","url":null,"abstract":"The number of buyers in e-commerce is around 1500 million, which represents 63% of Internet users, a percentage that has been growing and taking relevance in all sectors, particularly in the construction industry, which represents 10% of world GDP and 7% of employment, with brick being the product that is most consumed, specifically, the ecological brick is the one that has been gaining importance, due to its low negative impact on the environment. However, the lack of guidelines to facilitate the purchase, factors such as mistrust and the need to see the product, and the timely visualization of sales indicators for management, limit its growth. In this work, EcoBot is proposed, a chatbot with Facebook Messenger to make more attractive and reliable the e-commerce of ecological bricks, in addition, a dashboard on sales indicators, for making quick and timely decisions. A case study in a brick company in Lima shows an increase of 14% of transactions, 15% in sales in the first use of EcoBot, in addition, a survey of 42 customers shows that usability and user experience is very positive.","PeriodicalId":403519,"journal":{"name":"2021 IEEE Engineering International Research Conference (EIRCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130438827","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}
引用次数: 0
Systematic review for determining the design associated to green electrical building in commercial sites 为确定商业场所中绿色电气建筑设计而进行的系统评审
2021 IEEE Engineering International Research Conference (EIRCON) Pub Date : 2021-10-27 DOI: 10.1109/EIRCON52903.2021.9613285
Felix Eduardo Ramírez Huamán, Mario Quispe Bayona, R. Velásquez
{"title":"Systematic review for determining the design associated to green electrical building in commercial sites","authors":"Felix Eduardo Ramírez Huamán, Mario Quispe Bayona, R. Velásquez","doi":"10.1109/EIRCON52903.2021.9613285","DOIUrl":"https://doi.org/10.1109/EIRCON52903.2021.9613285","url":null,"abstract":"In this paper, the design criteria for green buildings have been analyzed in order to reduce the industrial electrical energy consumption, through the analysis of the research articles in Science Direct, SCOPUS and IEEE, with the Population, intervention, comparison, outcome and context (PICOC) methodology for the systematic review. Our findings have demonstrated the use of BUSBAR type conductors, the inclusion of refrigeration, heating and energy (CCHP), as an economic and ecological technology; on the other hand, the proliferation of smart cities and sensors with a better understand occupant behavior and energy use patterns on an urban scale, besides, the use of LED lighting in common areas helps with high luminous efficiency and long useful life compared to other types of light fixtures; finally, the references applied to urban cities are 19 from 165 papers from 2015 to 2021. It should be used with a non-linear programming model (MINLP) for a combined CCHP system together with renewable energy, so that the rate of CO2 emissions can be reduced suddenly, besides, the PV solar panels allows with the BESS to achieve energy savings with exogenous artificial neural network.","PeriodicalId":403519,"journal":{"name":"2021 IEEE Engineering International Research Conference (EIRCON)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125347684","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}
引用次数: 0
Integration of U-Net, ResU-Net and DeepLab Architectures with Intersection Over Union metric for Cells Nuclei Image Segmentation 融合U-Net、ResU-Net和DeepLab架构的交联度量细胞核图像分割
2021 IEEE Engineering International Research Conference (EIRCON) Pub Date : 2021-10-27 DOI: 10.1109/EIRCON52903.2021.9613150
Christian Augusto Romero Goyzueta, José Emmanuel Cruz de la Cruz, Wilson Antony Mamani Machaca
{"title":"Integration of U-Net, ResU-Net and DeepLab Architectures with Intersection Over Union metric for Cells Nuclei Image Segmentation","authors":"Christian Augusto Romero Goyzueta, José Emmanuel Cruz de la Cruz, Wilson Antony Mamani Machaca","doi":"10.1109/EIRCON52903.2021.9613150","DOIUrl":"https://doi.org/10.1109/EIRCON52903.2021.9613150","url":null,"abstract":"Identifying cells nuclei is the starting point for most biomedical analyzes, because cells contain a nucleus filled with DNA, automating the detection of cells nuclei will speed up disease research and help find cures. The goal is to integrate Neural network architectures such as U-Net, ResU-Net and DeepLab with the Intersection Over Union (IoU) quality measure for the segmentation of images of cells nuclei. The dataset is made up of images of cells nuclei found in the Data Science Bowl 2018 which were predicted and successfully segmented by the U-Net architecture. The U-Net IoU metric was identified as having good values, approximately 0.90, which indicates a good response to image modifications, ResU-Net has achieved satisfactory results, but without surpassing U-Net performance. On the other hand, DeepLab did not show satisfactory results which can be improved through network modifications.","PeriodicalId":403519,"journal":{"name":"2021 IEEE Engineering International Research Conference (EIRCON)","volume":"99 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128436657","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}
引用次数: 1
EmotiTEA: A visual monitoring module based on the recognition of facial emotions with CNN EmotiTEA:基于CNN面部情绪识别的视觉监控模块
2021 IEEE Engineering International Research Conference (EIRCON) Pub Date : 2021-10-27 DOI: 10.1109/EIRCON52903.2021.9613399
Italo Oliveira, Jacqueline Lopes Silva, Facundo Palomino Quispe, Ana Beatriz Alvarez
{"title":"EmotiTEA: A visual monitoring module based on the recognition of facial emotions with CNN","authors":"Italo Oliveira, Jacqueline Lopes Silva, Facundo Palomino Quispe, Ana Beatriz Alvarez","doi":"10.1109/EIRCON52903.2021.9613399","DOIUrl":"https://doi.org/10.1109/EIRCON52903.2021.9613399","url":null,"abstract":"The recognition of human facial emotions is a highly complex task and an open problem. This paper presents the EmotiTEA module that performs the recognition of facial emotions to be used in monitoring in real time. Two simple custom Convolutional Neural Networks (CNN) are studied, which were included in the module for specific tests. The results obtained under the test conditions indicate a satisfactory performance with the implemented CNNs and a promising behavior of the EmotiTEA module for the real time monitoring task.","PeriodicalId":403519,"journal":{"name":"2021 IEEE Engineering International Research Conference (EIRCON)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115671541","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}
引用次数: 1
Comparison of CNN and CNN-LSTM Architectures for Tool Wear Estimation 刀具磨损估计的CNN与CNN- lstm体系比较
2021 IEEE Engineering International Research Conference (EIRCON) Pub Date : 2021-10-27 DOI: 10.1109/EIRCON52903.2021.9613659
Fabio C. Zegarra, J. Vargas-Machuca, A. Coronado
{"title":"Comparison of CNN and CNN-LSTM Architectures for Tool Wear Estimation","authors":"Fabio C. Zegarra, J. Vargas-Machuca, A. Coronado","doi":"10.1109/EIRCON52903.2021.9613659","DOIUrl":"https://doi.org/10.1109/EIRCON52903.2021.9613659","url":null,"abstract":"Modern manufacturing needs to guarantee product quality and reduce operating costs. These can be achieved through the use of analytical tools, which depend on the collection of large amounts of data, in this particular case in the form of time series. During the last few years, various conventional and neural network-based methods have shown great promise in problems related to estimating milling cutter wear. Among neural networks, recurrent networks are especially promising due to the memory mechanism they use. In the present work, a comparison is made between a CNN network and a CNN-LSTM network. Both networks extract information directly from the time series of a widely used database. Unlike similar works in the existing literature, two simple preprocessing techniques are used: to remove the tendency of the time series and to equalize the initial values of the tool wear. Additionally, Bayesian optimization of hyperparameters is used. Mean square errors are obtained that are consistently around 10, results equivalent to the state of the art.","PeriodicalId":403519,"journal":{"name":"2021 IEEE Engineering International Research Conference (EIRCON)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114195640","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}
引用次数: 6
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