{"title":"The Roadmap to a Quantum-Enabled Wireless Metaverse: Beyond the Classical Limits","authors":"Mahdi Chehimi, Omar Hashash, W. Saad","doi":"10.1109/ACTEA58025.2023.10194017","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10194017","url":null,"abstract":"The metaverse intersects with the real world to establish a new era for wireless applications over next generation networks. Nevertheless, these applications are accompanied with a spate of challenges that can hinder their anticipated emergence. In particular, these applications are essentially capped with the profound communication and computing limits pertained by classical networks and end devices. Hence, to reap the full metaverse experience, a major leap that propels the metaverse apart from the classical paradigm of communication, computing, and artificial intelligence (AI) is demanded. In this paper, we shed light on the potential and recent advancements of quantum technologies that can drive the metaverse beyond the classical boundaries. In particular, with the substantial breakthrough witnessed in the versatile quantum streams, we leverage the quantum communication, computing, sensing, and AI tools that can pave the way for a groundbreaking version of metaverse applications to emerge. Up to this end, we present an overview of the metaverse in terms of its aspects, components, and persisting challenges. Then, we elaborate further on the applicable quantum tools (e.g., quantum federated learning, quantum key distribution, etc.) that can transform the different metaverse operational levels (e.g., digital twins, extended reality, etc). Finally, we present a set of open challenges and future research directions that arise along the lines of adopting quantum technologies for future metaverse applications.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123752240","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":"Predictive Maintenance in the Industrial Sector: A CRISP-DM Approach for Developing Accurate Machine Failure Prediction Models","authors":"Salma Maataoui, Ghita Bencheikh, Ghizlane Bencheikh","doi":"10.1109/ACTEA58025.2023.10193983","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10193983","url":null,"abstract":"In production systems, avoiding repeated failures is crucial for reducing costs and preventing downtime. Industry 4.0 technologies have enabled companies to collect and analyze real-time data from machines, which helps in identifying and preventing potential problems. By using metrics like MTBF and MTTR and analyzing past failures, we can develop predictive models to prevent future failures. This paper explores the use of CRISP-DM methodology in the industrial sector to ensure the accurate prediction of machine failures. Specifically, we examine the application of this methodology in developing predictive models for cutting machines. The results demonstrate that CRISP-DM methodology is effective in developing models that can accurately predict potential failures and prevent them from occurring. The findings have implications for companies looking to implement predictive maintenance strategies in their production systems, highlighting the importance of using data-driven approaches to improve reliability and reduce downtime. Overall, our study highlights the importance of leveraging industry 4.0 technologies and CRISP-DM methodology for optimal performance of production systems in the industrial sector.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127091281","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}
R. A. Z. Daou, Jad Beaino, Johnny Hawat, Ramy Ibrahim, A. Hayek, Josef Boercsoek, J. Olmedo
{"title":"Design and Implementation of a QoL Improvement System for Visually Impaired Patients","authors":"R. A. Z. Daou, Jad Beaino, Johnny Hawat, Ramy Ibrahim, A. Hayek, Josef Boercsoek, J. Olmedo","doi":"10.1109/ACTEA58025.2023.10194062","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10194062","url":null,"abstract":"Visually impaired people encounter several challenges in their mobility and navigation. Their daily activities are obstructed due to their inability to adapt or recognize accurately their surroundings, especially outside their house which they are more familiar with. Thus, it becomes the main reason of accidents, falling off, getting lost in unknown areas, etc. Furthermore, one of the sensory systems that helps the body to process data about the external environment is the visual system. Blind people also lose touch with the outside world, develops poor motor habits, which results in postural problems as a result. This project will assist visually impaired people in their daily life and simplify normal tasks through a system combining two previously designed projects, “Smart Shoes for Blind and Visually Impaired People”, and “Human posture monitoring device”. The multifunctional system is developed with the goal of securing safe movements for visually impaired people as well as maintaining a good back posture by detecting leaning postures (LP). The purpose of the smart shoe is to identify obstacles and protect the user from unintended accidents. A compatible Android application has been developed to alert the user when there is an obstruction or when he is walking on a wet surface. Voice alarms will be used to acoustically alert the user. If the user collapses, a message with their position will be sent right away to a relative. On the other hand, the smart vest will identify the position of the user's back and alert him to maintain a straight posture through the same application as well. As the system is dealing with human health, some safety measurements would be taken into consideration to implement a safe electrical system in order to reduce error and to increase accuracy.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130652459","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}
Omar Harb, Maher Aridi, Assadour Khanjian, A. A. Takash
{"title":"End Life Tires To Energy","authors":"Omar Harb, Maher Aridi, Assadour Khanjian, A. A. Takash","doi":"10.1109/ACTEA58025.2023.10194220","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10194220","url":null,"abstract":"End Life Tires (ELTs) in Lebanon represent a significant environmental problem, the longer they are left without treatment, the more it threatens humans' health and safety especially when living in a country classified among the top 25 countries with the highest car ownership. Dealing with this problem is feasible by using proper treatment technique called pyrolysis, where shredded tires are heated in a reactor vessel containing an oxygen-free atmosphere to produce pyrolysis oil, and this oil is further heated in distillation reactor to produce diesel (670 L from 330 ELTs) and many other valuable and profitable products like steel wires, carbon black, solvent thinner, and grease. Protecting the environment for our future and future generations is a basic need, the public and government share major responsibly and are expected to do more to safeguard the environment.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116275591","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 Machine Learning Approach to Predict Poor Mental Health of Intimate Partner Violence Survivors","authors":"Aditi Sisodia, Manar Jammal, Christo El Morr","doi":"10.1109/ACTEA58025.2023.10193963","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10193963","url":null,"abstract":"Intimate Partner Violence (IPV) is a wide social problem in Canada and abroad. Survivors of IPV are likely to experience mental health challenges. Detecting the experience of mental health challenges is paramount to address them as early as possible. Using a Statistic Canada survey (General Health survey, 2014), we have built a machine learning approach to predict the experience of poor mental health among IPV survivors. Multi-Layer Perceptron (MLP) provide the best accuracy score of 94.88 for a 14-feature model, and 94.21 % for a 24-feature model. The use of a more detailed dataset from Statistics Canada is recommended. Multidisciplinary research has a great potential in this emerging field.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116279949","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 Digital Twin Platform for Energy Efficient and Smart Buildings Applications","authors":"M. Jradi, Jakob Bjørnskov","doi":"10.1109/ACTEA58025.2023.10194071","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10194071","url":null,"abstract":"The employment of digital technologies is essential for creating new comfort levels, security, smartness, and efficiency in buildings. Buildings will shift from being a static, reactive element in the energy sector to being a proactive important component with the capacity to intelligently adapt to changes in the dynamic environment and interact efficiently with other structures and networks in smart communities and grids by possessing an array of sensors and meters everywhere, as well as a vast database of digital information. To capitalize on the benefits of building sector digitization and respond to rising demands for energy efficiency, comfort, and safety, we propose merging historical, real-world, and forecast data into a context information model to characterize and better comprehend the building. This is accomplished by digitally representing real-world assets as Digital Twins, enabling for integrated data-driven decision making across the building life cycle. The proposed holistic Digital Twin platform ‘Twin4Build’ substitutes the conventional static Building Information Model with a living deployable model that combines dynamic energy models and real-time data to provide a variety of operational services such as gathering and handling data, real-time performance monitoring and analysis, continuous commissioning, and strategic planning.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116432506","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 a Modular Multilevel Converter with Reverse Model Predictive Control","authors":"N. Mendalek, Peter R. Salameh","doi":"10.1109/ACTEA58025.2023.10193976","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10193976","url":null,"abstract":"In this paper the modular multilevel converter (MMC) is tied to the utility grid and converts the dc output signal of PV panels to an ac signal. The challenges related to this type of inverters are balancing submodule capacitor voltages, suppression of the circulating currents, and tracking references of output currents. To attain these targets simultaneously, a control strategy based on the reverse model predictive control (R-MPC) is adopted. This control method reduces the computational burden by calculating the number of inserted MMC's submodules directly, based on the reverse prediction of arm voltages. Simulation of the converter dynamic behavior including the related control technique is conducted through MATLAB/Simulink and results validated the desired system performance.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122562241","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":"5G Modulation in Impulsive Noise Environment","authors":"Bassam Zahreddine, N. Kandil, N. Hakem","doi":"10.1109/ACTEA58025.2023.10193904","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10193904","url":null,"abstract":"This paper presents a study on a 5G communication system using Quadrature Phase Shift Keying (QPSK) modulation, focusing on the effects of impulsive noise based on the Bernoulli distribution, and the impact of applying a Finite Impulse Response (FIR) Low-Pass Filter (LPF) on the system's performance. The main goal is to analyze the system's resilience to impulsive noise and assess the effectiveness of the FIR LPF in reducing its negative effects while maintaining overall communication quality. The LPF used in this study is a complex Finite Impulse Response (FIR) filter with a predetermined order ($mathrm{N}=100$) and cutoff frequency. The LPF considers various factors to effectively reduce the impact of impulsive noise on the communication system. The proposed approach is evaluated under Additive White Gaussian Noise (AWGN) with and without impulsive noise, as well as Rayleigh fading channel conditions, using key performance metrics such as Bit Error Rate (BER), Symbol Error Rate (SER), and Error Vector Magnitude (EVM). The results show that the QPSK modulation is reliable in the presence of impulsive noise and that the LPF effectively recovers its harmful effects. The performance with and without impulsive noise is evaluated to demonstrate the robustness of the proposed LPF approach.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125391725","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":"Authors","authors":"","doi":"10.1109/actea58025.2023.10194185","DOIUrl":"https://doi.org/10.1109/actea58025.2023.10194185","url":null,"abstract":"","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132982536","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 Review of AI techniques using MRI Brain Images for Alzheimer's disease detection","authors":"Esraa H. Ali, S. Sadek, Z. F. Makki","doi":"10.1109/ACTEA58025.2023.10194002","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10194002","url":null,"abstract":"The development of an efficient medical image processing technique to detect Alzheimer's disease in the early stages will be an important medical method practitioners. Image processing, machine learning and deep learning are necessary to assist in prevent the progression of Alzheimer's disease (AD). It can be detected when processing a Magnetic Resonance Image (MRI) for the brain, and analyzing its structure. In this paper, a review of different types of innovative techniques is presented. Starting with preprocessing techniques then segmentation image techniques for several brain regions or tissues. This identifiable section or tissue assists the doctor in determining if the patient is either normal or has a disease, and as well as assists in the improvement of computer aided diagnosis efficiency.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127142452","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}