{"title":"Design of Low Cost and High Efficiency Smart PV Solar System for Sustainable Residential Home","authors":"M. Nassereddine, M. Nagrial, J. Rizk, A. Hellany","doi":"10.1109/IMCET.2018.8603062","DOIUrl":"https://doi.org/10.1109/IMCET.2018.8603062","url":null,"abstract":"Renewable energy is becoming an essential element when it comes to climate change. The cost of energy storage is one of the main setbacks for sustainable homes. The paper includes important information on designing the PV solar system with energy storage for residential properties. It introduces the priority concept to reduce the battery storage size. The concept reduces the investment cost to make it attractive to homeowners. A case study is included.","PeriodicalId":220641,"journal":{"name":"2018 IEEE International Multidisciplinary Conference on Engineering Technology (IMCET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131746283","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}
Hasanin Harkous, Carine Bardawil, H. Artail, Naseem A. Daher
{"title":"Application of Hidden Markov Model on Car Sensors for Detecting Drunk Drivers","authors":"Hasanin Harkous, Carine Bardawil, H. Artail, Naseem A. Daher","doi":"10.1109/IMCET.2018.8603030","DOIUrl":"https://doi.org/10.1109/IMCET.2018.8603030","url":null,"abstract":"The ability to detect drunk driving behavior on roadways enhances road safety by significantly reducing the risk of fatal accidents. In this paper, a set of measurements, readily available via on-board vehicle sensors, was selected to detect drunk driving behaviors based on learning in accordance with certain drunk driving cues. A Hidden Markov Model (HMM) method was applied for each of the collected time series data, which correspond to the selected measurements. The prediction accuracy attained using each measured variable was derived and analyzed. The longitudinal acceleration achieved the best average prediction accuracy, for detecting both drunk and normal driving behaviors, with an accuracy that is equal to about 79%.","PeriodicalId":220641,"journal":{"name":"2018 IEEE International Multidisciplinary Conference on Engineering Technology (IMCET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131849883","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 Voice-Controlled Mobile IoT Guider System for Visually Impaired Students","authors":"Rami Saade, Karim Salhab, Z. Nakad","doi":"10.1109/IMCET.2018.8603052","DOIUrl":"https://doi.org/10.1109/IMCET.2018.8603052","url":null,"abstract":"Visually impaired students face numerous issues during their campus life as a significant portion of schools and universities don’t currently accommodate systems and facilities for them to freely circulate on campus [1]. In this paper, we propose a guidance system that interacts with a voice controlled smartphone interface to address this issue. The proposed system aims to present the student with a way to navigate from one location to another, in addition to an emergency system that is triggered when the alarm system goes off in any building or manually by the user. We discuss in this paper the main components of the system which include the guider application’s navigation algorithm, the emergency process, the IoT features used, the data over sound functionality as well as the student’s interface and voice recognition process. We also describe the results of the user evaluation process that we performed.","PeriodicalId":220641,"journal":{"name":"2018 IEEE International Multidisciplinary Conference on Engineering Technology (IMCET)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130886841","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}