Yousef Elbaz, Marwan Naeem, Muamer Abuzwidah, Samer M. Barakat
{"title":"Effect of Drowsiness on Driver Performance and Traffic Safety","authors":"Yousef Elbaz, Marwan Naeem, Muamer Abuzwidah, Samer M. Barakat","doi":"10.1109/ASET48392.2020.9118242","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118242","url":null,"abstract":"The occurrence of road traffic accidents is subjected to a variety of causes and one of them is drowsy driving. The presence of drowsy driving has been a critical contributor to road accidents worldwide. The purpose of this study is to analyze attitudes, behaviors, and opinions associated with fatigued or drowsy driving. The data were collected using a questionnaire-based survey in the United Arab Emirates and were descriptively analyzed. The results of the analysis showed that a wide number of drivers (71 percent) admitted that they drive while fatigued at least once a week. Out of all respondents, 27 percent admitted falling asleep behind the wheel before and 7 percent of them were involved in a crash related to nodding off. Moreover, the results also showed that most of the drivers prefer to either listen to the radio or talk to passengers to reduce drowsiness rather than stop and rest or nap. Overall, there is a need to raise awareness about the risk of drowsy driving since people tend to see other factors to be riskier. Also, this study highlights the necessity to counteract fatigued driving with treatments on-road and more education to the public. More research and crash data analysis are highly recommended to reach a clear conclusion and suggest certain treatments.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129222157","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":"Directional Pixogram: A New Approach for Video Steganography","authors":"Mohammed Baziyad, T. Rabie, I. Kamel","doi":"10.1109/ASET48392.2020.9118180","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118180","url":null,"abstract":"A video signal can be expressed as a 3D signal where the rows and columns of pixels represent the first and the second dimension, while the third dimension is the time. The 3D nature of video signals has produced an additional source of data redundancy; that is, the temporal redundancy. Utilizing signal redundancy is the fundamental driving force for steganography techniques. In this paper, the Directional Pixogram is proposed to optimally exploit the redundancy in a video segment. The Directional Pixogram is a 1D vector that starts from a certain initial position and then grows in the direction of the motion vector associated with that initial position. It is expected that this temporal vector will contain highly correlated pixels. Therefore, the Discrete Cosine Transform (DCT) can express this vector within few significant DCT coefficients leaving a large amount of insignificant DCT coefficients. Thus, experimental results have shown that the proposed Directional Pixogram is able to obtain outstanding stego quality while hiding with very high hiding capacities.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124884505","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":"Analysis of Hub Corner Flow of a Compressor Cascade Using Dye Injection and Limiting Streamlines","authors":"A. Melake, H. Jishi, Bahnay Melake","doi":"10.1109/ASET48392.2020.9118305","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118305","url":null,"abstract":"A three-dimensional Navier-Stokes equation based flow solver has been modified to accommodate multi-block computational domain and applied to investigate the flow features of a compressor cascade. Experimental investigation at different flow conditions conducted by Schulz [1] on the same cascade showed that the compressor was dominated by flow separation, hub and suction side flow stall and reverse flow around the trailing edge of the cascade. Extensive pressure distribution on all surfaces and qualitative analysis of the flow patterns using dye injection on all flow passage have been conducted by Schulz with the aim of providing a benchmark database for a comparison with computational codes. The purpose of this paper is thus to compare these results with that of computational results. The qualitative flow patterns obtained by dye injection have also been compared with that of computational limiting streamlines on the surface of the hub and suction surface corner. Finally, the flow patterns are analyzed using the critical point theory.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127663973","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}
N. Ali, M. Sebzali, Homoud Bourisli, Altaf Safar, Zubaida A. Ebrahem
{"title":"Nanocoating: An Energy Efficient Solution Towards Reducing Buildings Electrical Consumption In The State Of Kuwait","authors":"N. Ali, M. Sebzali, Homoud Bourisli, Altaf Safar, Zubaida A. Ebrahem","doi":"10.1109/ASET48392.2020.9118309","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118309","url":null,"abstract":"Energy consumption evaluation was performed on buildings, owned by Kuwait's ministry of public housing, before and after modifying the thermo-optical properties of the existing glazing. The investigated building for this study is located in the State of Kuwait and was selected to highlight the effect of glaze coating on the overall energy efficiency using the country geographical conditions. A simulation software, called DesignBuilder, was used to construct and model the selected building and estimate its electricity consumption after applying different types of glazing modifications. This includes employing commercial coatings and films on the original building double-glaze glass in the form of a single layer nanocoating, multi-layer nanocoating, nanoceramic film, and 30% tented film. Furthermore, the parameters of the original and modified glazes, such as Solar heat gain coefficient, light transmission, and solar transmission value, were obtained experimentally then used in DesignBuilder to simulate the building annual energy consumption. The results indicated that, the original building designed had an annual consumption of about 62.2 MWh, while the multi-layer nanocoating case showed a total consumption of 56.3 MWh. Comparing the two cases, the overall energy saving achieved by the multi-layer nanocoating scenario was roughly 9.5%. The present study confirms that using nanocoatings can be beneficial toward reducing building overall energy consumption, and thus can be considered as an economical solution for the State of Kuwait.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115861263","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":"Aerodynamic Optimization of an Aerial Pod","authors":"Shaikha M. Ai-Ali, Kursat Kara, A. Al-Khateeb","doi":"10.1109/ASET48392.2020.9118171","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118171","url":null,"abstract":"The incompressible, steady, turbulent flow around an external aerial pod was analyzed in order to optimize the pod's geometry for minimum drag, which is important to reduce its effect on the aircraft's performance. The computations were conducted in a 2-dimentional axisymmetric and 3-dimentional computational domains using ANSYS-Fluent k-ω SST turbulence model for high Reynolds number, Re > 106• The flow properties were selected at sea level conditions. The results revealed that both 2D and 3D simulations showed similar qualitative behavior for the drag variation along different dimensions of the pod. The optimal length of the pod in 2D was 11% shorter than the 3D simulations. Moreover, the 2D simulations over-predicted the drag compared to the same cases in 3D.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"45 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120882906","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":"Prediction on Material Removal Rate in Electrical Discharge Machining Based Upon Adaptive Neuro-Fuzzy Inference System","authors":"L. Al-Juboori, Shukry Hamed","doi":"10.1109/ASET48392.2020.9118176","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118176","url":null,"abstract":"The Material Removal Rate (MRR) is very influencer factor in electrical discharge machining (EDM). In this work, the effect of EDM parameters such as current (10, 20 & 30A), pulse on time (50, 60 & 70 µs) and pulse off time (35, 45 & 55 µs) on MRR in stainless steel alloy 304 (ASTM A 240) was studied. All experiments are achieved based on design of experiments methodology by adapting L9 orthogonal array. From this work, it is observed that variant sets of EDM process parameters are needed to obtain higher MRR for stainless steel alloy 304. Adaptive neuro-fuzzy inference system (ANFIS) has been used to generate drawing relation between input parameters and output response. The results specifies that the designed adaptive neuro-fuzzy inference system model provides minimum error in MRR predicted values as 0.0927 at 20 epochs. This results indicates that this model can be used to predict the MRR responses effectively.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127319561","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}
Ravichandran Danthakani, S. Kafumbe, E. Abd-Elrady, Rajesh Divakaran
{"title":"IoT Based Switching Of Microgrid For Uninterrupted Power Supply","authors":"Ravichandran Danthakani, S. Kafumbe, E. Abd-Elrady, Rajesh Divakaran","doi":"10.1109/ASET48392.2020.9118380","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118380","url":null,"abstract":"uninterrupted power supply plays a major role in health, testing, manufacturing sectors and individual's dependent on life saving equipment's. This paper explains how we can have a continuous power supply by using a new technology. Two ways: An automatic or IoT based switching of Microgrid can provide uninterrupted power supply that prevents energy outage or power failure due to various and different problems of the Microgrid. Therefore, the aim of this project is to provide a continuous power supply to the consumers in the most economical way, within less time, flexible way and without causing any severe damage to consumer business or human life.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116881651","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}
Ahmed Saif Eldeen, Mohamed AitGacem, Saifeddin Alghlayini, Wessam Shehieb, Mustahsan Mir
{"title":"Vitamin Deficiency Detection Using Image Processing and Neural Network","authors":"Ahmed Saif Eldeen, Mohamed AitGacem, Saifeddin Alghlayini, Wessam Shehieb, Mustahsan Mir","doi":"10.1109/ASET48392.2020.9118303","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118303","url":null,"abstract":"In this paper, a cost-free Artificial Intelligence-based application for smartphones built to detect vitamin deficiencies in humans using pictures of specific body organs is introduced. Recent vitamin deficiency detection methods require costly laboratory analysis. A wide spectrum of vitamin deficiencies can show one or more visually distinguishable symptoms and indications that appear in multiple locations in the human body. The application provides individuals with the capability to diagnose their possible vitamin deficiencies without the need to provide blood samples through the analysis of photos taken of their eyes, lips, tongue, and nails. The application then suggests a list of nutritional sources to fight the detected deficiency and the expected complications through nutritional micro-correction. The intelligent software was trained to distinguish and differentiate vitamin deficiencies with high confidence from imagery inputs of the selected body parts that are known to show different symptoms in terms of changes in the tissue's structure when the human body suffers a nutritional deficit. The platform also allows medical experts to assist in improving the range of detection and accuracy of the application through the contribution and verification of visual data of their patients allowing for more refined image analysis and feature extraction capabilities with the potential to surpass human's ability to diagnose medical conditions. This application is a useful tool for people to overcome a global problem that affects millions of people worldwide mainly as a result of inadequate nutritional awareness, and it will help healthcare workers in the long term in obtaining more accurate diagnoses.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132810659","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}
Abdulwahab AlGeelani, S. A. Dabous, S. Venkatachalam
{"title":"Investigation of Project Delivery Risks in Public-Private-Partnership (PPP) Infrastructure Projects in UAE - A Stakeholder's Perspective","authors":"Abdulwahab AlGeelani, S. A. Dabous, S. Venkatachalam","doi":"10.1109/ASET48392.2020.9118319","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118319","url":null,"abstract":"The concept of Public Private Partnerships (PPP) Projects is a widely used method of executing infrastructure projects around the world, where it utilizes the private sector's contribution to benefit both the public agency as well as the private sector implementing the project. The PPP project delivery methods are relatively new to the developing middle-eastern region generally, and to the UAE specifically and there has been very few completed PPP Projects. This paper aims towards investigating risks related to the PPP Projects by ranking such risks in order of importance and rate of occurrence. To achieve this task, relevant data that would contribute to the analysis of the risks are collected. The method of data collection for this paper was a series of surveys and semi-structured interviews directed towards informed targets representing the different stakeholders of PPP projects such as Private Proponent Managers, Federal Government Officers, Engineering Practitioners etc. The analysis of the survey results showed that the risks concerned with the private sector were significantly different than those concerned with the public sector. The research also concludes that proper risk mitigation measures must be implemented in order to optimize the process of utilizing the concept of PPPs in the UAE.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128135041","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":"Rescaled-LSTM for Predicting Aircraft Component Replacement Under Imbalanced Dataset Constraint","authors":"Maren David Dangut, Z. Skaf, I. Jennions","doi":"10.1109/ASET48392.2020.9118253","DOIUrl":"https://doi.org/10.1109/ASET48392.2020.9118253","url":null,"abstract":"Deep learning approaches are continuously achieving state-of-the-art performance in aerospace predictive maintenance modelling. However, the data imbalance distribution issue is still a challenge. It causes performance degradation in predictive models, resulting in unreliable prognostics which prevents predictive models from being widely deployed in realtime aircraft systems. The imbalanced classification problem arises when the distribution of the classes present in the datasets is not uniform, such that the total number of instances in a class is significantly lower than those belonging to the other classes. It becomes more challenging when the imbalance ratio is extreme. This paper proposes a deep learning approach using rescaled Long Short Term Memory (LSTM) modelling for predicting aircraft component replacement under imbalanced dataset constraint. The new approach modifies prediction of each class using rescale weighted cross-entropy loss, which controls the weight of majority classes to have a less contribution to the total loss. The method effectively discounts the effect of misclassification in the imbalanced dataset. It also trains the neural networks faster, reduces over-fitting and makes a better prediction. The results show that the proposed approach is feasible and efficient, achieving high performance and robustness via skewed aircraft central maintenance datasets.","PeriodicalId":237887,"journal":{"name":"2020 Advances in Science and Engineering Technology International Conferences (ASET)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128155773","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}