{"title":"Influence of the number of channels when highlighting steady-state visual evoked potentials based on a multivariate synchronization index","authors":"S. Kharchenko, R. Meshcheryakov, Y. Turovsky","doi":"10.1109/DeSE51703.2020.9450761","DOIUrl":"https://doi.org/10.1109/DeSE51703.2020.9450761","url":null,"abstract":"In the introduction part the authors show timeliness of the methods study for generation of the human-robot interaction systems on the basis of the extraction of steady-state visual evoked potentials (SSVEP). The main methods of the extraction of steady-state visual evoked potentials in the electroencephalograms (EEG) were observed. This article reflects researches of the EEG signals with steady-state visual evoked potentials for various frequencies of the photostimulation basing on the multivariate synchronization index (MSI). The influence of the number of channels for the analysis on the recognition rate of the signal state under study is considered. The fraction of correctly recognized states is considered as an accuracy metrics. Also, during the research, the authors inspect the influence of the channel selection for signal analysis in the single channel mode. The result of the authors’ research is recommendations on the number of channels used for highlighting of steady-state visual evoked potentials within the multivariate synchronization index method and the list of channels to be used in the single channel mode of the multivariate synchronization index for SSVEP highlighting. The results obtained are of considerable practical importance because they can be used for the brain-machine interface building on the SSVEP basis and can be forth used for development of the control theory of robot systems of various purposes and for implementation of the decisions on human-robot interaction arrangement for narrow practical tasks.","PeriodicalId":124051,"journal":{"name":"2020 13th International Conference on Developments in eSystems Engineering (DeSE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116032095","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":"Overcoming Speech Anxiety Using Virtual Reality with Voice and Heart Rate Analysis","authors":"Amal Aljabri, Daniah Rashwan, Rawan Qasem, Rola Fakeeh, Rehab Albeladi, Najla Sassi","doi":"10.1109/DeSE51703.2020.9450783","DOIUrl":"https://doi.org/10.1109/DeSE51703.2020.9450783","url":null,"abstract":"Social phobias are afflictions that millions of people suffer from. One common social phobia is speech anxiety (Glossophobia), which makes it difficult for people to talk in public or with others. To address this problem, this system was created to help people with Glossophobia practice making presentations or having personal interviews with less fear. The objective is to train them before their presentations or interviews by simulating 360° video environments with virtual reality (VR) technology. During the practice, the system analyzes the voice and heart rate of the person to discover any emotional and physical symptoms of speech anxiety using Arduino heart rate sensors, machine learning, and speech recognition techniques. The system will generate advice based on the symptoms to help make the user more confident. Additionally, after several training sessions, the system will present a report showing the progress in the user’s performance. The system has been fully implemented and has demonstrated its operational effectiveness.","PeriodicalId":124051,"journal":{"name":"2020 13th International Conference on Developments in eSystems Engineering (DeSE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122623693","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":"Dynamic Neural Network-based Feedback Linearization Control of a Pressurized Water Reactor","authors":"Amine Naimi, Jiamei Deng, S. Shimjith, A. Arul","doi":"10.1109/DeSE51703.2020.9450737","DOIUrl":"https://doi.org/10.1109/DeSE51703.2020.9450737","url":null,"abstract":"This note presents a nonlinear control approach using dynamic neural network (DNN)-based feedback linearization (FBL) for nuclear reactor power control. The reactor model adopted in this study is based on neutronic dynamic and thermal-hydraulic models. The nonlinear plant is identified by a single-layer DNN trained using Quasi-Newton and Interior-Point methods. The feedback linearization scheme is combined with a Proportional-Integral (P-I) controller and simulations show good performance of the proposed controller. The efficacy of the controller is evaluated in the load-following mode of operation. Moreover, the fault-tolerance performance of the proposed approach is tested.","PeriodicalId":124051,"journal":{"name":"2020 13th International Conference on Developments in eSystems Engineering (DeSE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114376323","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}
Areli Rodriguez-Tirado, Daniela Magallan-Ramirez, Jorge David Martinez-Aguilar, C. Moreno-García, David Balderas, E. López-Caudana
{"title":"A pipeline framework for robot maze navigation using computer vision, path planning and communication protocols","authors":"Areli Rodriguez-Tirado, Daniela Magallan-Ramirez, Jorge David Martinez-Aguilar, C. Moreno-García, David Balderas, E. López-Caudana","doi":"10.1109/DeSE51703.2020.9450731","DOIUrl":"https://doi.org/10.1109/DeSE51703.2020.9450731","url":null,"abstract":"Maze navigation is a recurring challenge in robotics competitions, where the aim is to design a strategy for one or several entities to traverse the optimal path in a fast and efficient way. To do so, numerous alternatives exist, relying on different sensing systems. Recently, camera-based approaches are becoming increasingly popular to address this scenario due to their reliability and given the possibility of migrating the resulting technologies to other application areas, mostly related to human-robot interaction. The aim of this paper is to present a pipeline methodology towards enabling a robot solving maze autonomously, by means of computer vision and path planning. Afterwards, the robot is capable of communicating the learned experience to a second robot, which then will solve the same challenge considering its own mechanical characteristics which may differ from the first robot. The pipeline is divided into four steps: (1) camera calibration (2) maze mapping (3) path planning and (4) communication. Experimental validation shows the efficiency of each step towards building this pipeline.","PeriodicalId":124051,"journal":{"name":"2020 13th International Conference on Developments in eSystems Engineering (DeSE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114548620","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}
M. F. Mahmood, S. Mohammed, S. Gharghan, S. Zubaidi
{"title":"Wireless Power Transfer based on Spiral–Spider Coils for a Wireless Heart Rate Sensor","authors":"M. F. Mahmood, S. Mohammed, S. Gharghan, S. Zubaidi","doi":"10.1109/DeSE51703.2020.9450775","DOIUrl":"https://doi.org/10.1109/DeSE51703.2020.9450775","url":null,"abstract":"Wireless power transfer (WPT)–based magnetic resonance coupling (WPT-MRC) is an encouraging technique for medium-power medical devices and other similar applications. Most wearable medical devices are operated based on several batteries. Generally, the batteries of such devices cannot be used for an extended time and typically involve a replacing or recharging process. WPT-MRC is a candidate technology that can resolve the charging of such batteries or it can directly supply power to the medical device. This paper aims to design and implement WPT based on the spiral–spider coils (WPT-S/S) for transferring high power over different air gaps to address the power problem. A heart rate measurement unit (HRMU) was implemented practically to confirm the functionality of the presented WPT-S/S. The proposed system comprises three main parts: monitoring, measurement, and power. The power unit contains receiver/transmitter coils, a capacitor resonator, and a rectifier. The measurement part contains an Arduino Nano platform (microcontroller), an nRF24L01 wireless technology for transmitting the HR measurement to the monitoring unit, and the biomedical sensor (HR sensor). The WPT-S/S system achieved 87% transfer power efficiency and 10 W DC output power over a 5-cm distance between the source coil (transmitter) and destination coil (receiver) when a resistance load of 200 Ω was employed. Also, the spiral–spider configuration succeeded in achieving adequate DC output voltage (i.e., 5 V) for supplying the HRMU at a distance of 20 cm between the coils.","PeriodicalId":124051,"journal":{"name":"2020 13th International Conference on Developments in eSystems Engineering (DeSE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117331417","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. Gritsenko, V. Shepelev, A. Lopukhov, I. Makarova, P. Buyvol, G. Parsin
{"title":"The Development of a Charger for the Formula Student Electric Race Car","authors":"A. Gritsenko, V. Shepelev, A. Lopukhov, I. Makarova, P. Buyvol, G. Parsin","doi":"10.1109/DeSE51703.2020.9450773","DOIUrl":"https://doi.org/10.1109/DeSE51703.2020.9450773","url":null,"abstract":"Industry 4.0. with its inherent complexity of technologies, digitalization and intellectualization encourages universities to look for new innovative approaches in education to provide students with advanced professional competencies. Formula Student Electric is an international student competition consisting in the development of racing cars followed by competitive races. However, accidents can happen not only on the track, but also in the garage. A big problem is charging batteries due to the complexity of controlling such a long process. The market lacks ready-made solutions meeting the requirements of the regulations. We developed a schematic diagram of the charger and designed a simplified model of the CC / CV charging process in Simulink. Theoretical calculations show that the charging time of a battery with a capacity of 100 Ah and a maximum voltage of 42 V, in the case of 30 A, took 3 hours 32 minutes to 100% and 1 hour 47 minutes to 50%, at in the case of 20 A - 5 hours 15 minutes and 2 hours 40 minutes, respectively. We selected the charger components. We designed a 3D model of the rack in the SolidWorks software for the safe use of the charger.","PeriodicalId":124051,"journal":{"name":"2020 13th International Conference on Developments in eSystems Engineering (DeSE)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128425060","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}
Khaldoon F. Brethee, G. R. Ibrahim, Rashaq A. Mohammed, A. Albarbar
{"title":"Diagnosis of Induced Gear Wear in Two-Stage Helical Gearbox Based on Vibration Analysis","authors":"Khaldoon F. Brethee, G. R. Ibrahim, Rashaq A. Mohammed, A. Albarbar","doi":"10.1109/DeSE51703.2020.9450757","DOIUrl":"https://doi.org/10.1109/DeSE51703.2020.9450757","url":null,"abstract":"Gearbox is an important power transmission component in a wide range of industrial applications. Wear is a common failure mode induced between the contact surfaces of the engaged gear teeth, which result in higher vibration and noise in the gearbox. The early detection of wear is very important for reliable working and better operational performance. Monitoring of gear vibration signature can develop early detection and accurate diagnosis of gear wear fault, and thereby extend the life span of the transmission system. This study focuses on applying an early detection of gear wear that was naturally produced in industrial gearbox system. An experiment gearbox test comprises of back to back two-stage helical gearboxes has been used, where vibration signal was measured and analysed to monitor the health condition of the attached gearboxes under different operation circumstances. Time synchronous averaging (TSA) and wavelet bicoherance (WBC) methods have been used to identify the nonlinearity effect due to induced wear between the contact tooth surfaces. The used methods have the capability to characterize the nonstationary signal and detect the wear at early stages.","PeriodicalId":124051,"journal":{"name":"2020 13th International Conference on Developments in eSystems Engineering (DeSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130132680","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":"The Application of Artificial Neural Networks in Learning Analytics","authors":"J. Mustafina, L. Galiullin, R. Valiev, M. Mahyoub","doi":"10.1109/DeSE51703.2020.9450779","DOIUrl":"https://doi.org/10.1109/DeSE51703.2020.9450779","url":null,"abstract":"The article covers the methods of Deep Learning for education data mining (EDM) and learning analytics (LA). The authors have reviewed the researches on EDM and LA that have employed the classical approaches of artificial neural networks (ANNS). The authors come to conclusion that LA and EDM present insufficient volume of research on the application of a new and more profound technology of artificial neural networks – Deep Learning. The new methods are described and the research on LA and EDM that employs Deep Learning is studied","PeriodicalId":124051,"journal":{"name":"2020 13th International Conference on Developments in eSystems Engineering (DeSE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133687891","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}
S. Atiba, Sarah Funmilola Moses, M. Lakoju, F. A. Semire, R. Aldmour
{"title":"Machine Vision Intelligent Travel Aid for the Visually Impaired (ITAVI) in Developing Countries*","authors":"S. Atiba, Sarah Funmilola Moses, M. Lakoju, F. A. Semire, R. Aldmour","doi":"10.1109/DeSE51703.2020.9450744","DOIUrl":"https://doi.org/10.1109/DeSE51703.2020.9450744","url":null,"abstract":"The visually impaired have little or no effective visual sensory input and have to rely on external assistance for navigation. Several electronic travel aids have been developed to aid independent navigation of the visually impaired, however they are not without limitations and dependence on third-parties. This paper describes the design and implementation of an Intelligent Travel Aid for the Visually Impaired, it combines the detection and recognition of objects in real-time with audio feedback to provide aid to the visually impaired users. This assistive device uses machine vision for object recognition detection, a camera for capturing object images respectively and a speaker all collectively form the core of the system. The system notifies users of obstacles and objects via synthesized speech. Using a quantized MobileNet based Single Shot multibox object detection model pre-trained on the Common Objects in Context dataset, the device was able to detect objects/obstacles, as well as determine the relative position and approximate distance. The device, when tested, was found to achieve real time performance of up to 70.56 frames per second for detections. Audio feedback was also achieved using the eSpeak Text to Speech engine to provide real time voice instructions to the user. All algorithms were implemented using Python language. The device is user friendly, allowing the visually impaired to enjoy easier navigation. However, other features such as extra object classes as well as language variety could be added in order to boost the robustness of the device.","PeriodicalId":124051,"journal":{"name":"2020 13th International Conference on Developments in eSystems Engineering (DeSE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129293078","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}
Andrey Sakhovskiy, E. Tutubalina, V. Solovyev, M. Solnyshkina
{"title":"Topic Modeling as a Method of Educational Text Structuring","authors":"Andrey Sakhovskiy, E. Tutubalina, V. Solovyev, M. Solnyshkina","doi":"10.1109/DeSE51703.2020.9450232","DOIUrl":"https://doi.org/10.1109/DeSE51703.2020.9450232","url":null,"abstract":"This article explores the problems of assigning documents to a limited number of topics and automating the process of topic structuring of Russian educational texts. For this purpose, we compiled an original corpus of school textbooks on Social Science. We utilized the Latent Dirichlet Allocation model for selection and comparative analysis of topics in the textbooks of different grades. This approach allows the reconstruction of the matrix of topics for each textbook in the сorpus. The research demonstrated a grade ranked character of the topics in the text collection under study, in particular, there is a higher cohesion of topics in high school. The research also offers an innovative methodology of quantitative describing topics dynamics in the textbook collection. It allows visualization and comparison of strategies for presenting educational topics by different authors. The results received can be beneficial for both textbook writers as well as teachers and schoolchildren.","PeriodicalId":124051,"journal":{"name":"2020 13th International Conference on Developments in eSystems Engineering (DeSE)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116711814","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}