G. B. Satrya, Yulio Ferdinand, S. Elnaffar, N. C. Putri Alamsyah, T. Abdellatif
{"title":"Vehicle’s Big Brother: IoT-Based Monitoring System for In-car Safety","authors":"G. B. Satrya, Yulio Ferdinand, S. Elnaffar, N. C. Putri Alamsyah, T. Abdellatif","doi":"10.1109/ICECTA57148.2022.9990557","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990557","url":null,"abstract":"To ensure safety in transportation means, several monitoring systems have been proposed to be used in private and public vehicles. In this work, we demonstrate our effort toward building monitoring systems for buckling up seat belts and for keeping the incar air quality in check. Our proposed system, named Vehicle’s Big Brother, is a car safety prototype that is built using sensor devices that communicate with and are controlled by a smartphone in the hand of the driver. This system sends warning notifications to the driver in case one of the seat belts is not fastened. It also gives the driver information about the quality of the air inside the vehicle in terms of the temperature and the concentration of the dust. This working prototype supports four seats, and it can be extended to cover larger vehicles such as public transportation means. The preliminary evaluation results for this system show high acceptance by its testers.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123184308","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":"Social Media Trends Analysis using the Bi-LSTM with Multi-Head Attention","authors":"M. Ati, Muhammad Usman Ghani Khan, Isha Kiran","doi":"10.1109/ICECTA57148.2022.9990328","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990328","url":null,"abstract":"In this global world, the usage of social media has produced a vast amount of human-generated data that will be analyzed to determine people’s sentiments. Sentiment analysis refers to the method of automatically grouping web data into different categories. The Proposed work presents bidirectional long-short memory (Bi-LSTM) network based on a multi-head attention mechanism to identify sentiments like business & economics, entertainment, science & technology, or health. We utilized a self-collected dataset from Twitter API. Bi-LSTM is used to capture two-way semantic information and the additional multi-head attention mechanism focuses on outputted information of Bi-LSTM. To assess the performance of the proposed work we utilized Precision, Recall, Accuracy, and f1-score as evaluation metrics. The proposed methodology is also contrasted with well-known sentiment analysis methods including Naive Bayes, Convolution Neural Network, Recurrent Neural Network, and LSTM our model performs best with 98.72% accuracy, 93.65% precision, 94.02% recall, and 93.20% f1-score.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123128417","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":"Design a Fully Automated Safety and Security System for Swimming Pools","authors":"Shatha M. Naji, Aya Y. Almousily, A. Alsharkawi","doi":"10.1109/ICECTA57148.2022.9990550","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990550","url":null,"abstract":"The concept of a fully automated safety and security system for swimming pools is discussed in this paper, focusing on offering 24-hour of protection against drowning while swimming or when inadvertently falling into the water. The goal of this study, thus, is to reduce the number of unintentional deaths and drowning injuries by developing an efficient system that can take an appropriate action without any human intervention. The system monitors the swimmer’s oxygen level and takes action based on the measured values by raising the safety net if a certain threshold is exceeded or pressing the bracelet panic button if something happens while swimming, such as muscle cramps. Furthermore, when no one is using the pool, it will be covered with the safety net equipped with a vibration sensor that will sound an alarm if a body falls into the pool.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133098243","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":"Optimal Control of a Supercapacitor Energy Storage System for Smoothing Wave Output Power","authors":"Abdin Y. Elamin, A. Wahyudie","doi":"10.1109/ICECTA57148.2022.9990267","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990267","url":null,"abstract":"This paper addresses the fluctuation problem in wave generated power. A supercapacitor energy storage system is applied to smooth the power generated from a point absorber type wave energy converter. An optimal linear quadratic control algorithm with Integral action is designed to govern the charge and discharge operations of the energy storage. The performance of the proposed control scheme is tested under an irregular sea state and verified through MATLAB simulation. Simulation results show that the supercapacitor and its associated control strategy are able to deliver stable and smooth power to a connected load.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131288537","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":"Advanced Regenerative Braking System Design and Prototype for an Electric Bicycle","authors":"Haseeb Naveed, M. Nagrial, A. Hellany, J. Rizk","doi":"10.1109/ICECTA57148.2022.9990478","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990478","url":null,"abstract":"Australian travellers are purchasing electric bicycles for their daily commute. However, statistics show that riders are seeking to use their bicycle for longer commutes but are held back by the limited battery life. This paper explores an effective design to apply and control a regenerative braking system to an electric bicycle to significantly increase its travel distance and battery life. In this paper, an important foundation is laid for developing a high-performance regenerative braking system which could be added to any commonly available electric bicycle conversion kit.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114729395","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}
Almountassir Bellah Balhasan, Ibrahim A.M. Alkasih, Wagdi Saad Sallabi, Moftah B.M. Bokhatwa, Adrees Saeid Bilhasan, Salem Ali Alhuni
{"title":"A Case Study on the Information Security System of Al Wahda Bank","authors":"Almountassir Bellah Balhasan, Ibrahim A.M. Alkasih, Wagdi Saad Sallabi, Moftah B.M. Bokhatwa, Adrees Saeid Bilhasan, Salem Ali Alhuni","doi":"10.1109/ICECTA57148.2022.9990540","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990540","url":null,"abstract":"This case study looks at the information security system in use by the Information Security Unit at Al Wahda Bank in Libya. It is an examination of the policies and tools used for the security of 2 main areas: software & information and data. For software security, the case study examines the security policies and tools for the following 2 aspects: the software development process related to all software developed for the bank, and the protection of all devices from malware. For information and data security, the case study examines the security policies and tools for the following 5 aspects: information and data classification, information and data storage, information and data backup, information and data communication, and information and data disposal. Afterwards, we briefly analyze the information security system. Our analysis leads us to identifying 3 areas for further review: difficulty in monitoring 3rd party software development, inconsistency between policies and actual implementation, and the retention period of ‘unwanted’ information and data.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121228656","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}
Mebruk Mohammed Kedir, Ziad Sefelnasr, Muhammed Kallumottakkal, Mousa I. Hussein
{"title":"Split Ring Resonator Sensor Design for Real-Time Breathing Monitoring","authors":"Mebruk Mohammed Kedir, Ziad Sefelnasr, Muhammed Kallumottakkal, Mousa I. Hussein","doi":"10.1109/ICECTA57148.2022.9990276","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990276","url":null,"abstract":"In this paper, we present a Split ring resonator-based sensor for real-time breathing monitoring application. The design aims at detecting various serous health conditions like sleep apnea, sudden infant death syndrome, cardiac arrest and so forth. The design is based on a microstrip technology along with the split ring resonator and coupling line techniques. The sensor was designed to operate at 0.8 GHz and 1.4 GHz. The substrate utilized in the design is Rogers RO3010, which has dielectric constant of 10.2 and a thickness of 1.27 mm. Simulation findings show that the sensor performs as expected and demonstrate its functioning at the desired design frequencies.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124734421","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 Wideband Electromagnetic Energy Harvester Design for Internet of Things (IoT) applications","authors":"Haitham Yousuf Al Ajm, M. Bait-Suwailam","doi":"10.1109/ICECTA57148.2022.9990162","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990162","url":null,"abstract":"In this paper, we propose a wide-band microwave energy harvester that uses concentric split-ring resonators. Numerically simulated using CST and COMSOL Multiphysics, the numerical simulation results are presented here, where wide-band electromagnetic energy harvesting (considering 50% efficiency threshold) is achieved, covering the frequency band from 3 GHz to 5 GHz and beyond. The proposed unit cell consists of a metallic ring with two slits in opposite sides, which resonates well at around 3.7 GHz with its reflection coefficient of −23 dB and peak efficiency reaching 99.3%. The structure will find useful applications in the recharging of ultra-low-power devices, including the Internet of Things sensors.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130415565","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}
Dani Abdo, H. Mitsudharmadi, Fawwaz Al Khatib, Mohamed Abdalla Alnaqbi, Rashed Saeed Almallahi, Sarah Abdullah Alblooshi
{"title":"Experimental Analysis of a Compact Atmospheric Water Generator by Refrigerant Method","authors":"Dani Abdo, H. Mitsudharmadi, Fawwaz Al Khatib, Mohamed Abdalla Alnaqbi, Rashed Saeed Almallahi, Sarah Abdullah Alblooshi","doi":"10.1109/ICECTA57148.2022.9990304","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990304","url":null,"abstract":"The current climate and environmental situation with ascending numbers of extreme and prolonged weather events has already impacted life negatively. An increasing trend in desertification of lands due to scarcity of clean and sustainable supplies of freshwater is a critical consequence of these environmental changes. According to the literature, 4.7 billion people have shortage in access to clean water. This fact is a reason enough to encourage researchers and scientists to find alternative solutions for providing safe water for humans and plants. Atmospheric water harvesting (AWH) may present an economical and efficient solution. This paper presents an experimental evaluation of the efficiency of an AWH model through cooling humid air from the environment using solar power as a source of energy. The relatively light-weight and compact design of this model makes it ideal for atmospheric water collection in deserted areas with no access to 220V electric current, as the implemented refrigeration compressor is a 12 V one. The evaluation showed that with a smart design of the evaporator unit and without implementing any expensive chemicals or materials, the efficiency of the system can be enhanced significantly. Preliminary results showed promising potential. The system has proved to be able to work independently to produce clean water for human use and agriculture in deserted areas.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129984970","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 Cohesive Machine Learning-Based Model for Energy Consumption Prediction in Smart Homes","authors":"Sarvinoz Toshpulotova, Muhamamd Fayaz","doi":"10.1109/ICECTA57148.2022.9990270","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990270","url":null,"abstract":"Energy is the most important and costly resource and its plays a vital role in our daily lives. With the passage of time technologies are advancing, hence, the demand for energy uses is also increasing. In this work, a model has been proposed for energy consumption prediction in the smart home. The proposed model consists of four modules, namely data acquisition, data pre-processing, prediction, performance evaluation, and application. The pre-processing module has four sub-modules namely, output rectification, data cleaning, data transformation, and data reduction. The processed data is then fed to the prediction module, and different machine learning algorithms have been applied to the pre-processed data to predict energy consumption in smart homes. Next, the performance of these algorithms has been evaluated in the performance evaluation stage, in this stage different performance metrics have been considered, such as mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean squared error (RMSE) in order to measure the performance of machine learning algorithms on the given data. The results indicate that the random forest algorithm performance is better as compared to other counterpart algorithms on the given data. The trained random forest algorithm is then used in the web-based interface in order to make able a layman to use the system for energy consumption prediction.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"249 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123679274","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}