{"title":"Assessment of Al Assi River Water Quality","authors":"C. Hajj, J. Harb","doi":"10.1109/ACTEA58025.2023.10193938","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10193938","url":null,"abstract":"Water security is an emerging worldwide goal. The water quality of the Al-Assi River in Lebanon was assessed by measuring major physiochemical and microbiological properties. This study presented the results of these parameters taken from 10 representative sites along the Al Assi River in Lebanon tributaries. Methods of assessment are also detailed in this paper. The findings showed that some physiochemical variables are within the WHO at several sites (1, 2, and 3). On the other hand, severe contamination sites exist in the river water and identified at several points namely at sites 4,6,7, and 9. Coliform presented in the investigated sites indicates an unacceptable level of pollution coming from untreated sewage outfall directly into the river.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"100 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":"132099671","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 Brief Review of Simplified Modeling Approaches Commonly Used in Engineering","authors":"Gérard-Philippe Zéhil, N. Dib","doi":"10.1109/ACTEA58025.2023.10194146","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10194146","url":null,"abstract":"The current challenges posed to engineers by the many consequences of climate change and the aim to achieve sustainable development goals drive the need to model both natural and artificial phenomena of increasing complexity in ways that remain tractable, interpretable, computationally efficient, and suitable to iterative optimization and design schemes. This work briefly reviews the techniques that are most commonly used for model simplification in the field of engineering. It mainly covers closed-form analytical models, numerical model simplification approaches, regression-based models, machine learning models, and prominent model order reduction techniques.","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":"123879092","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":"About Machine Learning Techniques in Water Quality Monitoring","authors":"Christine Saab, Gérard-Philippe Zéhil","doi":"10.1109/ACTEA58025.2023.10193911","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10193911","url":null,"abstract":"Water Quality Monitoring (WQM) faces significant challenges posed by emerging contaminants, non-point source pollutants, and climate change. The continued development of suitable sensing technologies that are likely to produce increasingly large amounts of data, also creates the need for accurate and efficient data analysis and modeling techniques. Artificial Intelligence is set to play a prominent role in performing analyses and predictions based on large datasets. This work hence reviews some leading Machine Learning (ML) approaches and applications in WQM. It also identifies emerging technique applications that can potentially enhance WQM significantly.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"45 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":"131426427","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":"Validation of an Heliostat Tracking System Based on an ARM-Cortex HIL Using Simulink","authors":"N. Karami","doi":"10.1109/ACTEA58025.2023.10194007","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10194007","url":null,"abstract":"A type of power plant known as a solar tower power plant or central tower plant uses numerous mirrors, often called heliostats, to concentrate sunlight and direct it towards a central tower. The orientation of the heliostat mirrors is calculated based on various factors including the location of the mirror and tower, the time, and the date. The tracking system for the heliostats is modeled and implemented on an ARM Cortex-M3 microcontroller using Simulink, with the controller board interfaced for real-time deployment of equations. Results from simulation and experimentation are presented in the paper.","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":"130202648","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":"Transformers Faults Prediction Using Machine Learning Approach","authors":"Hanane Hadiki, F. Slaoui-Hasnaoui, S. Georges","doi":"10.1109/ACTEA58025.2023.10194101","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10194101","url":null,"abstract":"The maintenance of transformers is crucial for ensuring their proper functioning. Due to the high expenses associated with maintenance, finding alternative methods to maintain these expensive electrical components has become a priority, as opposed to relying solely on traditional methods. In this paper, Machine Learning algorithms were used for fault prediction in transformers. These algorithms were trained using measurements data of the three-phase currents and voltages. Several algorithms were employed and evaluated to determine the performing ones. Results show that K-Nearest Neighbor algorithm and Decision Trees gave the best accuracy.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":" 116","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113948694","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}
T. Salem, Louise Bichara, Jad Bou Shroush, Wissam Wehbi
{"title":"Phase Change Material in Concrete Pavement: Impact on the Mechanical Properties for Cold Regions","authors":"T. Salem, Louise Bichara, Jad Bou Shroush, Wissam Wehbi","doi":"10.1109/ACTEA58025.2023.10194227","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10194227","url":null,"abstract":"Pavement used in roadways is highly deteriorated in cold regions due to the use of de-icing chemicals, which have a negative impact on the environment. Researchers have been exploring new technologies to prevent cold weather-related weakening of concrete pavement and achieve environmental sustainability. This paper evaluates the possibility of incorporating oil Phase Change Material (PCM) in concrete pavement to decrease its structural deterioration and reduce the cost of maintenance and impact on the environment. For this purpose, several concrete mixtures were designed by incorporating a certain percentage of PCM by weight in the mix: 1% and 2% of PCM. The mechanical properties of PCM infused concrete are compared to those of traditional concrete pavement. The results for both mixes show some decrease in workability while almost a similar behavior is observed for the compressive and flexural strengths. The mix with 1% PCM shows better efficiency with respect to the life cycle of the pavement.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"31 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":"127700243","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}
Bassam A. Hussein, A. Assi, Marise Raad, Manal Dimachk, Ramez Zayyat, Mahdi Hussein
{"title":"From Co-location to Remote Work: Remedies for Agile Project Management during COVID-19 Pandemic","authors":"Bassam A. Hussein, A. Assi, Marise Raad, Manal Dimachk, Ramez Zayyat, Mahdi Hussein","doi":"10.1109/ACTEA58025.2023.10193918","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10193918","url":null,"abstract":"The spread of COVID-19 in the beginning of 2019 has raised many challenges affecting agile team members. One of the major characteristics of Agile Project Management (APM) teams is co-location. Co-location enhances collaboration among team members who are self-organized and self-managed. Due to the pandemic, agile team members were obliged to start working remotely facing many challenges that compromised team productivity and efficiency. This paper proposes remedies that could help agile teams improve their collaboration and overcome the challenges imposed by the pandemic when working remotely. The information is based mainly on insights, suggestions and recommendations from agile management practitioners and subject matter experts.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"109 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":"131431333","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":"Investigation of BIM Contractual Perspective in the MENA Construction Industry","authors":"C. Hajj, German Martines Montes, Sawsan Sleiman","doi":"10.1109/ACTEA58025.2023.10194157","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10194157","url":null,"abstract":"Building information modeling (BIM) has gained much attention in the past years, but its legal and contractual aspects have not often been explored. Scholars have addressed the urge to deeply investigate BIM in the management of the construction field. In response to this need, this research paper attempts to help construction stakeholders by shedding the light on the contractual requirements of BIM in the construction industry. Toward this goal, the authors identify the risks associated with BIM, examined BIM contractual standards, and assess their coverage.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"11 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":"125535652","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}
Razan El Kassar, A. A. Takash, Adie Msadi, Wassim Salameh, Assadour Khanjian
{"title":"Modeling Solar Cell Performance at High Temperatures: A Validation Study of Theoretical Equations and Computational Simulations","authors":"Razan El Kassar, A. A. Takash, Adie Msadi, Wassim Salameh, Assadour Khanjian","doi":"10.1109/ACTEA58025.2023.10193923","DOIUrl":"https://doi.org/10.1109/ACTEA58025.2023.10193923","url":null,"abstract":"As the demand for solar renewable energies grows globally, researchers' goal has always been to develop low-cost, high-efficiency cells, knowing that higher panel temperatures lead to poor conversion performance and decreased long-term reliability, posing a well-known challenge in the field of photovoltaics. This study employed both theoretical and computational methodologies to investigate the relationship between temperature and efficiency. To model the performance of the solar cell under varying temperatures, theoretical equations relating the temperature of the cell to the cell's efficiency were developed, and MATLAB SIMULINK was used to develop a computational model showing the output power of a solar cell under varying temperatures. Our findings reveal that the efficiency of an LR5-72HPH 545 Watts solar cell decreases from 21.3% at 25°C to 17.41% at 70°C. The results of the theoretical and computational studies were compared and found to have a small error of 1.05%, proving that computational modeling can be relied on to accurately predict solar cell performance, where this model is valuable since it allows a to analyze the effect of temperature on solar cells in a way that is simpler and faster to achieve than theoretical methods. However, by employing suitable cooling systems, it is possible to limit the impacts of temperature, which is critical for the development of more efficient and dependable solar cells, particularly in high-temperature conditions.","PeriodicalId":153723,"journal":{"name":"2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)","volume":"259 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":"127543666","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}