2021 22nd International Arab Conference on Information Technology (ACIT)最新文献

{"title":"Parallel Dynamic Multi-Objective Optimization Evolutionary Algorithm","authors":"M. Grid, Leila Belaiche, L. Kahloul, Saber Benharzallah","doi":"10.1109/acit53391.2021.9677438","DOIUrl":"https://doi.org/10.1109/acit53391.2021.9677438","url":null,"abstract":"Multi-objective optimization evolutionary algorithms (MOEAs) are considered as the most suitable heuristic methods for solving multi-objective optimization problems (MOPs). These MOEAs aim to search for a uniformly distributed, near-optimal and near-complete Pareto front for a given MOP. However, MOEAs fail to achieve their aim completely because of their fixed population size. To overcome this limit, an evolutionary approach of multi-objective optimization was proposed; the dynamic multi-objective evolutionary algorithms (DMOEAs). This paper deals with improving the user requirements (i.e., getting a set of optimal solutions in minimum computational time). Although, DMOEA has the distinction of dynamic population size, being an evolutionary algorithm means that it will certainly be characterized by long execution time. One of the main reasons for adapting parallel evolutionary algorithms (PEAs) is to obtain efficient results with an execution time much lower than the one of their sequential counterparts in order to tackle more complex problems. Thus, we propose a parallel version of DMOEA (i.e., PDMOEA). As experimental results, the proposed PDMOEA enhances DMOEA in terms of three criteria: improving the objective space, minimization of computational time and converging to the desired population size.","PeriodicalId":302120,"journal":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122934122","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":"The Impact of Using Information Technology Governance COBIT5 in Reducing Banking Credit Risk in Islamic Banks - Case Study of Islamic International Arab Bank","authors":"Munir S. Al-Hakim, Ibrahim Khrais, K. Alsadi, Yehya Khasawneh","doi":"10.1109/acit53391.2021.9677404","DOIUrl":"https://doi.org/10.1109/acit53391.2021.9677404","url":null,"abstract":"The study aims to show the impact of using the Information Governance Technology (COBIT5) as an independent variable in reducing bank credit risk in Islamic banks as a dependent variable, through a case study of the Islamic International Arab Bank. The researchers relied on the descriptive analytical method using the questionnaire as a tool for collecting data from the study community consisting of an intentional sample of (78) male and female employees working in the Islamic International Arab Bank, which were analyzed using the SPSS statistical program.The study concluded that there is an impact of the use of the information governance technology COBIT5 with its various dimensions in reducing bank credit risks in Islamic banks to different degrees, where the dimension of ownership and implementation came in the first place, After Follow-Up in the second place, After Support, Delivery and Guidance in the third, After Observation ranked fourth, while Planning and Organization was ranked in last from the point of view of the study sample of the employees. The results also showed that the level of information governance 5COBIT came at a high level, and that there is a statistically significant effect at the level of significance (α ≤ 0.05). For planning, organizing, owning, implementing, supporting, connecting, monitoring and evaluating, directing and controlling in reducing bank credit risks in the Islamic International Arab Bank, and to the existence of a positive statistically significant relationship between the use of information governance technology COBIT5 (the independent variable) and reducing bank credit risks (the variable). The study recommends focusing on disclosure and transparency as a result of the effective application of the principles of governance to meet the needs of users and decision-makers, and the development of control methods in terms of form and content to meet the needs of its users of accounting information, especially in the field of bank credit.","PeriodicalId":302120,"journal":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","volume":"492 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123562089","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":"An Ensemble Classification Approach Using Improvised Attribute Selection","authors":"Muhammad Qasim Memon, Shen-Ming Qu, Yu Lu, Aasma Memon, A. Memon","doi":"10.1109/acit53391.2021.9677093","DOIUrl":"https://doi.org/10.1109/acit53391.2021.9677093","url":null,"abstract":"The advancement in data mining allows educational data to find patterns, improving the quality of the educational processes. Assessment of students' performance is of great importance for themselves as well as benefitting the educational institutes. In this regard, main attributes are generally proclaimed in the educational data mining (EDM) settings as a significant concern in learning analytics. In this research, we improved the prediction of students' performance. We evaluated the features containing six attributes in several domains: demographic, personal, academic, parental support, psychometric, and learning logs. The prediction of different classification algorithms using ensemble methods affects the accuracy and comprehensibility of the early prediction. To do so, we improvised attributes selection techniques applied to the data containing 11814 students in the biology course. The validation of the classification algorithms achieves better accuracy with ensemble methods. The result performances show the appropriateness of performing prediction and evaluating both filter and wrapper-based methods for feature selection. Our findings also show the students' performance with the most impactful features using ensemble methods and the feasibility of creating a prediction model with a reasonable accuracy rate.","PeriodicalId":302120,"journal":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","volume":"57 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127661134","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 Roadmap for intelligent HVAC control in Vehicle Cabin","authors":"Mohamed Alkhadashi, A. Shaout","doi":"10.1109/acit53391.2021.9677383","DOIUrl":"https://doi.org/10.1109/acit53391.2021.9677383","url":null,"abstract":"This paper is intended to provide an overview of a literature survey conducted to explore the level of control technology in the space of Heating, Ventilation and Air Conditioning (HVAC). The survey aims to determine if there is room for improvement to HVAC control and prediction. While the survey reviewed HVAC control in different environments such as building and transportation vehicles, the scope of the survey is aimed to address HVAC control in vehicles. Efficiency has become very critical as the automotive industry takes the path of electric vehicles and therefore many types of approaches to control HVAC in an effort to increase energy consumption efficiency while maintaining consumer comfortability. A proposal to use both LDA and Kalman Decomposition to provide comfort and efficiency has not been found to be implemented and would be a good study to explore. Learnings and prediction will be further evaluated for opportunities of new innovations and implementation.","PeriodicalId":302120,"journal":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127870891","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":"An Embedded Deep Learning Computer Vision Method for Driver Distraction Detection","authors":"A. Shaout, Benjamin Roytburd, L. A. Sánchez-Pérez","doi":"10.2139/ssrn.3996984","DOIUrl":"https://doi.org/10.2139/ssrn.3996984","url":null,"abstract":"Driver distraction is a modern issue when operating automotive vehicles. It can lead to impaired driving and potential accidents. Detecting driver distraction most often relies on analyzing a photo or video of the driver being distracted. This involves complex deep learning models which often can only be ran on computers too powerful and expensive to implement into automobiles. This paper presents a method of detecting driver distraction using computer vision methods within an embedded environment. By taking the deep learning architecture SqueezeNet, which is optimized for embedded deployment, and benchmarking it on a Jetson Nano embedded computer, this paper demonstrates a viable method of detecting driver distraction in real time. The method shown here involves making slight modifications to SqueezeNet to be trained on the AUC Distracted Driver Dataset, yielding accuracies as high as 93% when detecting distracted driving.","PeriodicalId":302120,"journal":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123772920","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":"Commonsense Validation for Arabic Sentences using Deep Learning","authors":"Emran Al-Bashabsheh, Huthaifa Al-Khazaleh, Omar N. Elayan, R. Duwairi","doi":"10.1109/acit53391.2021.9677156","DOIUrl":"https://doi.org/10.1109/acit53391.2021.9677156","url":null,"abstract":"Arabic language processing is one of the largest challenges faced by researchers due to the complex nature of the Arabic language traits. With the recent advancements in deep learning applications and the vast amounts of data available, it is possible to secure human-like performance in several tasks. One of these tasks is distinguishing the common-sense in sentences in different languages in general, and in Arabic in specific. The Arabic commonsense validation is still a growing area in tackling the Arabic language understanding domain. In this paper, a set of multilingual pre-trained transformer models were employed. These models were trained and tested using a dataset of the commonsense understanding in the Arabic field. The dataset contains 12 thousand pairs of sentences. The two sentences, in every pair, are very similar in syntax; however, one of these sentences is logical (makes sense) and the other is illogical. BERT, XLM-MLM and XLM-Roberta models were fine-tuned to discover the logical sentences in the sentence pairs. The best result was achieved using XLM-Roberta with an accuracy equals to 81.2%.","PeriodicalId":302120,"journal":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126455335","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":"The Characteristics of Intellectual Output in the Field of Big Data in Oman from 2010 to 2020 : A Bibliometric Study Based on Scopus","authors":"Noura M. Al Risi","doi":"10.1109/acit53391.2021.9677178","DOIUrl":"https://doi.org/10.1109/acit53391.2021.9677178","url":null,"abstract":"The current study aimed to identify the intellectual output in the field of big data in the Sultanate of Oman during 2010 to 2020, by using the Bibliometric approach based on the Scopes database, the number of publications 123 publications which analyzed it based on document type, years, language, most productive institutions, and authors as well as the subject area. Also, using the excel program to display the results in tables and charts. The study found that conferences papers had the highest percentage in intellectual output (84%), the number of publications from 2010 until 2013 was zero, and the year 2016 was the highest, while the Middle East College was the most contributing institution to intellectual output in Oman, and all the publications were in English, The study recommends the necessity to encourage, support and fund researchers in the field of big data due to the importance of the topic, and to encourage them to write in the Arabic language to enrich the Arabic content.","PeriodicalId":302120,"journal":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125889857","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":"Evaluating the Usability of Mobile Applications: The Case of Covid-19 Apps in Saudi Arabia","authors":"Maryam Booday, A. Albesher","doi":"10.1109/acit53391.2021.9677200","DOIUrl":"https://doi.org/10.1109/acit53391.2021.9677200","url":null,"abstract":"Countries have used mobile applications (apps) creatively during the COVID-19 pandemic. In Saudi Arabia, the government has relied on several mobile apps to deal with different issues related to COVID-19, but so far there have not been enough studies conducted in the country to determine whether these mobile apps satisfy the principles of usability. This study takes a heuristic approach to evaluate and measure the usability of these apps. In particular, this study used SMART heuristics since they are designed specifically to evaluate usability on mobile devices and found that the apps Saudi Arabia has used during the pandemic suffer from several usability issues. We discuss these issues in detail and make recommendations to app designers in order to increase usability in their mobile apps.","PeriodicalId":302120,"journal":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130651194","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":"Improved LBP based Descriptors in Harsh Illumination Variations For Face Recognition","authors":"Shekhar Karanwal","doi":"10.1109/acit53391.2021.9677216","DOIUrl":"https://doi.org/10.1109/acit53391.2021.9677216","url":null,"abstract":"Local Binary Pattern (LBP) was considered as one of the prominent local descriptors in the research community. After LBP evolution diverse LBP variants are launched in unconstrained conditions. The main problem with LBP and other descriptors are that in extreme illumination changes their performances are not adequate that's why improvements were suggested and implemented. Precisely proposed work suggests improvements to 3 local descriptors i.e. LBP, Horizontal Elliptical LBP (HELBP) and Median Binary Pattern (MBP). The improvements were suggested by deploying 2 Dimensional-Discrete Wavelet Transform (2D-DWT) prior to feature extraction. After employing 2D-DWT (utilizing haar at level 1), the input image is decomposed into 4 sub-bands. First one signifies approximation coefficient and rest three signifies detail coefficients which are horizontal, vertical and diagonal. Then LBP, HELBP and MBP histograms were separately extracted from 4 wavelet sub-bands. The sub-band histograms were fused for developing the respective descriptor feature length. These 3 improved descriptors are defined as 2D-DWT+LBP, 2D-DWT+HELBP and 2D-DWT+MBP. Fishers Linear Discriminant Analysis (FLDA) was used for reducing the dimension. Then classification was attained by the Radial Basis Function (RBF) (the Support Vector Machines (SVMs) based method). On Yale B (YB) and Extended YB (EYB) datasets, improved descriptors beats the outcome of original descriptors completely.","PeriodicalId":302120,"journal":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132218651","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":"The Impact of Digital Trade on Jordan's Economic Growth","authors":"Thaer Ahmad Abu Saleem, N. Abbas, Khaled Mohammed Al-Sawaie, Abdel-Halim Mohammed Jubran","doi":"10.1109/acit53391.2021.9677278","DOIUrl":"https://doi.org/10.1109/acit53391.2021.9677278","url":null,"abstract":"This Study aims to investigate the impact of digital trade on economic growth in Jordan. The Study focused on four important variables (Digital Trade, Real GDP, Per Capita gross domestic Product and trade openness), in The form of annual data, the limits test for co–integration was applied in the study at the long–run equilibrium relationship between the variables. The results confirmed the existence of a relationship between the variables in the long-run, meaning that there is a positive relationship between digital trade and economic growth in Jordan. Accordingly, the study proposes to develop digital trade in an effort to make its role greater in economic growth using Jordan as a sample.","PeriodicalId":302120,"journal":{"name":"2021 22nd International Arab Conference on Information Technology (ACIT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133598336","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}