{"title":"Design and Development of Mobile Healthcare Application Prototype Using Flutter","authors":"Ragda Mamoun, M. Nasor, Sahar H. Abulikailik","doi":"10.1109/ICCCEEE49695.2021.9429595","DOIUrl":"https://doi.org/10.1109/ICCCEEE49695.2021.9429595","url":null,"abstract":"with the increased awareness of people to the importance of regular health checkup, healthcare-providing facilities such as hospitals and clinics are struggling to cope with the demands of an ever-increasing population. This problem is even worse in countries with weak healthcare facilities. The overload on hospitals affects the quality of healthcare services. Many patients spend long hours searching for prescribed medications; others wait for long times to get appointment to see their doctors. Access to ambulance services in critical cases can also be very difficult. All of these factors in addition to the high cost of treatment at hospitals make remote delivery of healthcare the most practical option for many patients. In this paper, a healthcare mobile application prototype was developed successfully and installed on an Android smartphone. The application offers convenient telemedicine services that enable patients to be diagnosed online by medical specialists. The application also facilitates the ordering of medications using online payment. Medications can be delivered directly to the desired location, and in emergency cases, patients can call for ambulance service. The system enables medical doctors and nurses to monitor their patients’ health continuously. Pharmacies can also use the application to offer and deliver their medical products to patients.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130830452","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":"Tracking Control of Unicycle-type Wheeled Mobile Robot Utlizing Backstepping Approach","authors":"Walied M. E. Mahgoub, I. Sanhoury","doi":"10.1109/ICCCEEE49695.2021.9429613","DOIUrl":"https://doi.org/10.1109/ICCCEEE49695.2021.9429613","url":null,"abstract":"A time-varying feedback tracking control is proposed to stabilize the trajectory of wheeled mobile robot (WMR) relied on backstepping approach. The tracking controller is based on unicycle-type kinematic model of WMR. Asymptotical stability is realized and verified via a well established Lyapunov Function. The simulation results show the effectiveness of the proposed controller. The circular trajectory is generated as a desired path for the WMR. It’s found that, the performance of the posture errors and velocities for the proposed backstepping tracking controller is superior to the benchmarked controller.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134108534","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}
Zeinab Obied, Aiman Solyman, Atta Ullah, Ahmed Fat’hAlalim, Alhag Alsayed
{"title":"BERT Multilingual and Capsule Network for Arabic Sentiment Analysis","authors":"Zeinab Obied, Aiman Solyman, Atta Ullah, Ahmed Fat’hAlalim, Alhag Alsayed","doi":"10.1109/ICCCEEE49695.2021.9429568","DOIUrl":"https://doi.org/10.1109/ICCCEEE49695.2021.9429568","url":null,"abstract":"Sentiment Analysis (SA) is one of the fast-growing research tasks in Natural Language Processing (NLP), which aims to identify the attitude of online users or communities regarding to a specific topic, service, or product. It helps to evaluate the overall tonality of a document to make a good decision in the right direction. Arabic SA still growing slowly compared to English and Chinese languages because of some challenges including lack of corpora, Arabic language complexity, and the spread of many local Arabic dialects. The current study presents a work-in-progress for Arabic SA based on capsule network and Google BERT multi-languages.BERT Google language model achieved state-of-the-art results for several NLP tasks, that aim to pre-train deep bidirectional (right and left) representations on the context in all layers. Recently, capsule networks become one of the most successful techniques in image processing and NLP, it is consists of a group of neurons that represents different features of the same entity. Each layer in a capsule network contains many capsules that encode spatial information and the likelihood of existing input data. Not like traditional neural techniques, capsule networks allow the model to capture the likeliness of each feature and its variants, which affects positively the quality of the final predicted features. The proposed model was trained based on a small dataset. Although, the results were encouraging and competitive compared to the state-of-the-art Arabic SA models.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133479403","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":"Machine Learning for Cloud DDoS Attack Detection: A Systematic Review","authors":"Ahmed Makkawi, A. Yousif","doi":"10.1109/ICCCEEE49695.2021.9429678","DOIUrl":"https://doi.org/10.1109/ICCCEEE49695.2021.9429678","url":null,"abstract":"Cloud computing is an emerging technology that transfer the computing to providers through the internet. Cloud computing has numerous benefits such as cost saving, pay as you use and resources elasticity. Yet, cloud technology has various security concerns. Distributed Denial of Service (DDoS) attack represents one of the main cloud security challenges. Several machine learning approaches have been developed to handle cloud DDoS attack. Nevertheless, a common understanding of machine learning approaches for cloud Distributed Denial of Service (DDoS) attack is still missing. Furthermore, the increase of relative literature makes it difficult to manage and define state of the art and to recognize research emerging issues and gaps. This paper investigates research on machine learning approaches for cloud Distributed Denial of Service. This paper aims at carrying out a systematic review of the existing literature concerning cloud machine learning methods for DDoS in order to summarize the evidence regarding this issue.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130236704","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":"Compact Single/Dual-Band Bandpass Filters with Independently Controllable Passbands Using Staircase Resonators","authors":"Abdulrahman Widaa, C. You, Mohammed Awad","doi":"10.1109/ICCCEEE49695.2021.9429611","DOIUrl":"https://doi.org/10.1109/ICCCEEE49695.2021.9429611","url":null,"abstract":"This paper reports compact single/dual-band bandpass filters with independently controllable passbands based on a novel microstrip staircase resonator. A parallel feeding mechanism is introduced to offer better harmonics suppression on the proposed single-band BPF and also to create a second independent resonance path between the parallel feeding lines, effectively implementing compact dual-band BPF structures. Furthermore, due to the independently separated resonance paths, the passbands can be controlled independently without affecting each other. Therefore, very close frequency passbands can be effectively obtained in the proposed dual-band configuration. For demonstration and validation purposes, three miniaturized single/dual-band BPFs are designed and fabricated.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114770751","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}
Asia Diaa Eldin Alkamil, Obey Taj Alsir Hassan, A. Hassan, Walaa Faisal Mohammed Abdalla
{"title":"Performance Evaluations Study of OFDM Under AWGN and Rayleigh Channels","authors":"Asia Diaa Eldin Alkamil, Obey Taj Alsir Hassan, A. Hassan, Walaa Faisal Mohammed Abdalla","doi":"10.1109/ICCCEEE49695.2021.9429660","DOIUrl":"https://doi.org/10.1109/ICCCEEE49695.2021.9429660","url":null,"abstract":"Orthogonal Frequency Division Multiplexing (OFDM) present a new opportunity solution for telecommunications. The advantage of OFDM is simple to implement, more resistant to frequency selective fading; the disadvantage, on the other hand, is that the noise is more sensitive to the carrier frequency offset. In this article, a simulation based study of OFDM system under different channel conditions and modulations schemes. The system is evaluated under effects of Rayleigh fading channel and Gaussian noise. Our experimental findings indicate that the obvious effect of Rayleigh channel with additive Gaussian noise. Furthermore, the results show a slight BER increment when using QPSK when compared with BPSK. As well as, while signal energy incrementing the BER will be reduced.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134296605","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":"Bivariate analysis of cardiovascular disease risk factors in Gezira state, Sudan (2019) : A hospital-based case-control study","authors":"Ebtehag Mustafa Mohammed, A. Alnory","doi":"10.1109/ICCCEEE49695.2021.9429659","DOIUrl":"https://doi.org/10.1109/ICCCEEE49695.2021.9429659","url":null,"abstract":"cardiovascular diseases are the leading cause of death globally, in Africa, the rate is expanding quickly and it is currently a Public health concern. Inevitably the rate is increased in Sudan as well, this study was conducted to determine risk factors for cardiovascular disease and the distribution and prevalence of this disease in Gezira State, Sudan. To achieve the objectives of the study, a dedicated questionnaire was developed and used to measure the factors influencing cardiovascular diseases in Gezira State. A cross-sectional study was conducted in Wad Medani Heart Centre. Data collected lasted for almost one year (From 2018 to 2019). The study sample consisted of 800 inpatients ages 15 years and older. Descriptive statistics were used to describe participants’ demographic and disease characteristics, their knowledge scores, their practices and personal attitudes about the causes of cardiovascular diseases. Percentages and frequencies were used for the categorical variables, while mean and standard deviations were calculated for the continuous variables. All statistical analyses were performed on Statistical Package for Social Sciences (SPSS) version 25 for Windows. The study revealed that up to (58.5%) of the patients are urban dwellers, The majority of respondents are aged 55 and over, A small percentage of them received high education (0.5%). also, the study showed that (32.4%) of the respondents were afflicted with diabetes, most of the respondents were passive smokers (79.4%).according to the study, the prevalence rate of Cardiovascular disease in Gezira State is 0.35.the study suggested some recommendations as reflected in the result such as paying attention to the pathological aspects related to cardiovascular diseases such as diabetes,hypertension, kidney, and chronic diseases in general,in addition to behavioural factors such as smoking and drinking alcohol, nutritional factors.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133514003","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":"Improving Disturbance Rejection Capability for a Quadcopter UAV System Using Self-Regulating Fuzzy PID Controller","authors":"Sherif I. Abdelmaksoud, M. Mailah, A. Abdallah","doi":"10.1109/ICCCEEE49695.2021.9429661","DOIUrl":"https://doi.org/10.1109/ICCCEEE49695.2021.9429661","url":null,"abstract":"The quadcopter model is one of the most versatile flying machines nowadays. However, it is an under-actuated, highly non-linear, and coupling system. It is also sensitive to external disturbances and uncertainties while trajectory tracking. Thus, in this study, a robust control method for the quadcopter system was proposed to improve system stability and disturbances rejection capability by utilizing a Self- Regulating (SR) Fuzzy Proportional-Integral-Derivative (FPID) control system, to be known as (SR-FPID) scheme. The proposed control system was designed based on the Fuzzy Logic (FL) to provide the automatic tuning of the PID control parameters based on various operating and loading requirements. The simulated results reveal the efficiency and robustness of the SR-FPID scheme in significantly improving the disturbance rejection capability and reducing the percentages of the settling time and the peak time of at least 97% in the presence of various forms of external perturbations.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121996706","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":"Performance Evaluation of Homogeneous Network in Cellular Wi-Fi","authors":"Afra A.E. Elkhair, A. Abdalla, O. M. Osman","doi":"10.1109/ICCCEEE49695.2021.9429676","DOIUrl":"https://doi.org/10.1109/ICCCEEE49695.2021.9429676","url":null,"abstract":"Networks have recently introduced heterogeneity, In order to meet high bandwidth user requirements. Users of the mobile internet are increasing at a high rate, often receiving fewer mobility features by keeping signal intensity problems at sustainable data rates. Mobility of nodes (users) through homogeneous networks can solve signal power related issues. The cellular Wi-Fi network performs scenarios with OPNET modeler to build the Wi-Fi coverage, implement the mobility of stations, analyzing and study the mobility of nodes effect on the network according to access points, and show the enhancement done in the quality of services due to this research’s target. Mobility across networks acting relinquishing will improve knowledge rates and may give all time on the process. Additionally, the mobile node ought to handle completely different PHY/MAC connected problems for reliable implementation for relinquishing method. The analysis results were taken in specific parameters, the parameters were chosen by considering the popular demand in WLANs networks, a bit like outturn, delay, data rate, property, packet drop $dots$ etc. The recorded results were good enough to prove the idea proposed, the cellular Wi-Fi enables the mobility of nodes and handover performance between the different access points. The objectives of the research were successfully proved.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127755611","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}
Azza O. M. Ahmed, Shahd M. Y. Osman, Terteel E. H. Yousif, A. Kheiri
{"title":"A Reinforcement Learning Hyper-heuristic for Water Distribution Network Optimisation","authors":"Azza O. M. Ahmed, Shahd M. Y. Osman, Terteel E. H. Yousif, A. Kheiri","doi":"10.1109/ICCCEEE49695.2021.9429683","DOIUrl":"https://doi.org/10.1109/ICCCEEE49695.2021.9429683","url":null,"abstract":"The Water Distribution Networks (WDNs) optimisation problem focuses on finding the combination of pipes from a collection of discrete sizes available to construct a network of pipes with minimum monetary cost. It is one of the most significant problems faced by WDN engineers. This problem belongs to the class of difficult combinatorial optimisation problems, whose optimal solution is hard to find, due to its large search space. Hyper-heuristics are high-level search algorithms that explore the space of heuristics rather than the space of solutions in a given optimisation problem. In this work, different selection hyper-heuristics were proposed and empirically analysed in the WDN optimisation problem, with the goal of minimising the network’s cost. New York Tunnels network benchmark was used to test the performance of these hyper-heuristics including the Reinforcement Learning (RL) hyper-heuristic method, that succeeded in achieving improved results.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127657269","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}