Fenghe Hu, Hui Zhou, Yansha Deng, A. Nallanathan, H. Aghvami
{"title":"Tiled-DASH VR Video Streaming: Design and Implementation","authors":"Fenghe Hu, Hui Zhou, Yansha Deng, A. Nallanathan, H. Aghvami","doi":"10.1109/ICECCME55909.2022.9988103","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988103","url":null,"abstract":"Supporting virtual reality (VR) via cellular networks attracts increasing attention and is a promising use case in the 5G and 6G networks. to achieve this, it calls for a bandwidth-efficient video transmission protocol, where the tiled-based virtual reality video transmission with dynamic adaptive streaming over HTTP (tiled-DASH) is recommended by 3GPP. It introduces complicated system model crossing transmission and video processing subject areas. to investigate this, we build a tiled-DASH testbed with motion prediction, perform the traffic modeling, analyze the delay and bandwidth usage, and measure the performance of multiple prediction algorithms. The experimental results identify the trade-off among prediction horizontal, segment length, and bandwidth usage, which fails to be captured by literature.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130524355","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}
K. Periyasamy, A. Kaivelikkal, Venkateshwaran K. Iyer
{"title":"A Predictor Generator for Healthcare Applications","authors":"K. Periyasamy, A. Kaivelikkal, Venkateshwaran K. Iyer","doi":"10.1109/ICECCME55909.2022.9988351","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988351","url":null,"abstract":"Many healthcare applications now utilize machine learning algorithms to analyze a patient's history, to assist in di-agnosis, and to possibly predict the next stage of patient's health. This approach gives a computerized support for healthcare providers. However, choosing an appropriate machine learning algorithm is a daunting task for a healthcare provider, partly because of their lack of experience in using such algorithms. In this paper, we describe a tool called predictor generator which helps choosing an appropriate machine learning algorithm for a healthcare application and adjusting the parameters of the selected algorithm so that the user can get a predictor for the application. The tool provides an option to select different algorithms with different combinations of parameters and saving each of them separately so that the user can experiment each predictor and choose the appropriate one that satisfies their requirements. We have tested the application of the tool for predicting mortality of kidney patients who are on hemodialysis.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123981153","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. Čandrlić, A. Jakupović, Ozren Rafajac, S. Šuman, Martina Asenbrener Katic, Danijela Jakšić, P. Poščić
{"title":"Students' Perceptions Towards IoT Educational Program - A Case Study","authors":"S. Čandrlić, A. Jakupović, Ozren Rafajac, S. Šuman, Martina Asenbrener Katic, Danijela Jakšić, P. Poščić","doi":"10.1109/ICECCME55909.2022.9988254","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988254","url":null,"abstract":"The development of the loT system requires the education of experts with skills in electronics, automation, telecommunications and software development. Therefore, the study and educational programs focus mainly on these technical skills. However, business skills are also required for the development of innovative loT systems. The aim of this paper is to propose a solution for integrating technical and business skills in an loT curriculum. The paper describes the case of the loT School educational program in Croatia, which is funded by EU structural funds. In addition to this paper contribution, an instrument for evaluation of the educational program at micro and macro levels for quality assurance is presented. The methodology used for curriculum development is based on the Croatian Qualifications Framework (CQF). The development of the evaluation instrument is based on the analysis of 14 evaluation methods for other educational programs. The new loT curriculum consists of 7 modules that balance business and technical skills and include 30 ECTS (European Credit Transfer and Accumulation System). The evaluation shows that students find this approach supportive and motivating for their professional development. The students' suggestions will be used to improve the quality of the future loT School program.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114353151","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":"Nice Cross-gramian, the Generalized Symmetry and Determination of Controller Structure for Multivariable Switched Systems","authors":"M. Tahavori, H. Shaker, R. Dashti","doi":"10.1109/ICECCME55909.2022.9987803","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9987803","url":null,"abstract":"In this paper, the determination of a control struc-ture for discrete-time MIMO switched systems is addressed. In the first step, for discrete-time switched systems, the concept of nice cross-gramians is proposed and investigation is done on whether the suggested nice cross-gramian exists. It has been demonstrated that the nice cross-gramian can be achieved as a solution to a specific algebraic matrix equation, if it exists. While the proposed cross-gramian has a wide range of uses, including model reduction, in this paper, it has been utilized to form the Nice Hankel Interaction Index Array (NHIIA) for control structure selection. The control structure determination strategy which is proposed is one of the few that supports switched systems, takes advantage of gramian-based techniques, and is computationally more effective than its only counterpart.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116272016","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":"Power Enhancement and Hotspot Reduction of a Rooftop Solar PV Array Using MOSFETs","authors":"Rahma Aman, M. Rizwan","doi":"10.1109/ICECCME55909.2022.9988575","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988575","url":null,"abstract":"In photovoltaic (PV) panels, the reliability issue known as “hot spots” occurs when an improperly matched cell warms up substantially, reducing the solar PV panel's output power performance. Hot areas can cause solar PV cell temperatures to rise, causing encapsulation damage and a second failure. Both of these breakdowns cause the PV panel to sustain lasting damage. Hotspots occur when there is any imperfection in solar cells, such as cracks, improper soldering, or mismatching. In this paper, hotspots that occurred due to partial shading are mainly focused on analyzing the effect of panel performance because of shading; different partial shading patterns like horizontal shape, L-shape patterns, and diagonal shape patterns are considered. A MATLAB/Simulink model for a 7x2 array size solar panel connected in series-parallel arrangements has been developed here, and all these partial shading patterns are considered. Previously, bypass diodes were connected across each module to increase the efficiency of solar panels under shading conditions. In this paper, two different arrangements are taken: in the first, MOSFETs are connected across every 14 modules, and in the second, alternate bypass diodes and MOSFETs are connected across each module. This study compares conventional hotspot mitigation techniques power-voltage characteristics with the two novel hotspot mitigation techniques.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121559226","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. Batarseh, Mustafa Walid Alzahlan, Ameer B. Batarseh, Muhy Eddin Za'ter
{"title":"COVID-19 Pandemic Impact on the Electricity Demand of a Middle-Income Non-Industrial Country: Jordanian Case","authors":"M. Batarseh, Mustafa Walid Alzahlan, Ameer B. Batarseh, Muhy Eddin Za'ter","doi":"10.1109/ICECCME55909.2022.9988689","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988689","url":null,"abstract":"The outbreak of the infamous Coronavirus disease (COVID-19) has widely affected every aspect and flow of the human daily lives. While this effect extended to the global electrical grid, it impacted every system distinctly owing to the divided global response to the pandemic, the diverse economic development of the countries as well as the different scale and responsiveness of each electrical grid. Jordan, a middle-income economy and one of the countries that were severely impacted by the disease, was known during the start of the pandemic for imposing one of the strictest curfews and nationwide lockdown around the world. These restrictions had significantly affected the electric load demand over the year 2020. With Jordan's high residential load share (exceeding 45%), increasing contribution of generation from renewable energy sources (more than 20% in 2020), alongside its unique pandemic response and its hot summers; the Jordanian electricity demand makes an interesting case to investigate. This paper provides a comparative analysis of the Jordanian load demand during the years 2019 and 2020 and includes insights on the effects of the imposed lockdown and the varying temperature in three different time frames; pre-lockdown, during lockdown and post lockdown.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126414352","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":"Sustainable development goals assessment in supply chain design from an operation research perspective: Social, governmental, and technological aspects","authors":"Andrea Teresa Espinoza Pérez, Óscar C. Vásquez","doi":"10.1109/ICECCME55909.2022.9988349","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988349","url":null,"abstract":"There is an exponential increase in research seeking sustainability in the supply chain design since 2010, emerging the called sustainable supply chain design (SSCD). Furthermore, new approaches consider sustainability integrates governmental and technological aspects to the classic assessment including economic, environmental, and social dimensions. This research tendency has implied a broad and diverse set of metrics and resolution method approaches to address each sustainability dimension in the search for an optimal design. This implies new significant problems to be considered. It implies several possible metrics combinations for the SSCD since there is no agreement among researchers on which metrics represent better, or to a greater extent, each sustainability dimension sustainability and even how to depict the concept of sustainability itself in the supply chain design. Considering the new approaches and social dimension is underrepresented in the majority of literature cases, we want to contribute the understanding of how social, governmental, and technological dimensions have been assessed in optimal SSCD. Our proposal is based on an extensive literature review from a total of 541 analyzed articles, which allows us to represent and identify the different metrics. We distinguish nineteen metrics from the different sustainability dimensions.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126414414","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":"Exam Reporting System (Case Study: Faculty Of Engineering, Universitas Islam Riau)","authors":"Akmar Efendi, Furizal, Apri Siswanto, Mursyidah","doi":"10.1109/ICECCME55909.2022.9987819","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9987819","url":null,"abstract":"The Exam Reporting System (Case Study: Faculty of Engineering, Universitas Islam Riau) is a reporting system that assists the faculty's leadership (Dean) in recapitulating test files conducted by the test supervisor during exam implementation at the Faculty of Engineering, Universitas Islam Riau. The construction of this system is based on a policy or SOP (Standard Operating Procedure) for the exam implementation defined by the leadership of the Faculty of Engineering, Universitas Islam Riau, with each case study having its SOP. The manual recapitulation method is slow and takes a long time (1–4 weeks). Therefore, an alternative in the form of a system that can speed up and shorten the recapitulation process is required. This system is meant to deliver exam reporting solutions through services. The outcomes of this service procedure (transitioning from a manual to a digital system) will be faster and easier to obtain. Not only that but the system can also be used at any time and from any location as long as you have internet connectivity, making it more efficient and versatile. The system was tested and evaluated using a questionnaire at the Faculty of Engineering, Universitas Islam Riau, and the results were analyzed using the Likert approach. The processing results have an index of 80.5 per cent, indicating that this technology is very suitable for use in the Faculty of Engineering Universitas Islam Riau.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125249456","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}
Sandler Simone, Krauss Oliver, Diesenreiter Clara, Stöckl Andreas
{"title":"Detecting Fake News and Performing Quality Ranking of German Newspapers Using Machine Learning","authors":"Sandler Simone, Krauss Oliver, Diesenreiter Clara, Stöckl Andreas","doi":"10.1109/ICECCME55909.2022.9987851","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9987851","url":null,"abstract":"Nowadays, news spread quickly, and it is not always clear to the reader whether an article is real or fake. Moreover, readers use only a few sources to read the news without knowing the quality of the source. This is due to a lack of up-to-date news or media rankings. Machine learning models can be used to automatically detect fake news. In this work, a Passive-Aggressive-Classifier, a Random-Forest, and an LSTM network are trained to distinguish between fake and non-fake (real) news. Moreover, these models are used to classify news sources according to the amount of possible Fake News they may spread. The models are tested on English and translated German articles. The best results for Fake News detection on English articles is reached with the Passive-Aggressive-Classifier. For automatic news ranking of translated German articles, Random-Forest provides the best result. The correlation of Random-Forest with an actual news ranking reached 0.68. This shows that automated classification can be extended to languages other than English, using this approach. In the future, other machine learning models and translators will be used to extend the approach.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121840710","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}
Md. Faruk Abdullah Al Sohan, Nusrat Jahan Anannya, A. Nahar, K. Kalpoma
{"title":"Preliminary Findings: Use of CNN Powered Criminal Identification System","authors":"Md. Faruk Abdullah Al Sohan, Nusrat Jahan Anannya, A. Nahar, K. Kalpoma","doi":"10.1109/ICECCME55909.2022.9988423","DOIUrl":"https://doi.org/10.1109/ICECCME55909.2022.9988423","url":null,"abstract":"Face is the principal distinguishing attribute of the human body in recognizing an individual. Face recognition is vital for the law enforcement authorities in primary detection and identification of the criminals. However, it becomes very difficult and time-consuming to manually identify every individual in highly populous cities and public places. In this paper, we propose an automatic criminal identification technique face recognition of the criminals using history of their criminal activities. The proposed system will detect the detailed features of human face and recognize the suspect entering a public location. For this purpose, we have built a facial recognition system to apply in Convolutional Neural Networks (CNN). In the simulation, we use the Labeled Faces in the Wild (LFW) dataset to train and test the CNN-powered face recognition system. Preliminary findings prove the feasibility of implementing this system in effective detection and identification of individuals. Such an automatic system will be operative to identify and catch the criminals in public places in a more efficient way.","PeriodicalId":202568,"journal":{"name":"2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121983438","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}