Pub Date : 2020-11-28DOI: 10.1109/ACIT50332.2020.9300104
R. Hodrob, Mahmoud Obaid, Abdulsalam Mansour Abdulsalam Mansour, Ali Sawahreh, Mokhles Naghnagheah, Shatha AbuShanab
the reliance of an electrocardiogram system in heart patients is paramount. It is essential to note that electrocardiography is a medical tactic used by doctors to assess the blood circulatory systems of their patients. In this paper we proposed a novel health care based Internet of Things (IoT) system that measures the ECG signal using Healthy-pi HAT, the system measures vital signs and ECG using Raspberry-pi, after that, the data will be sent to a cloud system to analyze it and the data will be saved in the database system. The proposed system has an android app used by the customer, and a web application used by the doctor. Likewise, the framework will advise the nearest clinical center if there should be an occurrence of the patient's unexpected wellbeing disintegration, an SMS for the patient location using GPS will be sent. The way toward investigating the ECG signal depends on extricating its highlights, this will be performed by perusing the P-wave, QRS-complex, and T-wave, these are the three principle waves that ECGs comprise, and a large number of arrhythmia diagnosing depends on these qualities.
{"title":"An IoT Based Healthcare using ECG","authors":"R. Hodrob, Mahmoud Obaid, Abdulsalam Mansour Abdulsalam Mansour, Ali Sawahreh, Mokhles Naghnagheah, Shatha AbuShanab","doi":"10.1109/ACIT50332.2020.9300104","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300104","url":null,"abstract":"the reliance of an electrocardiogram system in heart patients is paramount. It is essential to note that electrocardiography is a medical tactic used by doctors to assess the blood circulatory systems of their patients. In this paper we proposed a novel health care based Internet of Things (IoT) system that measures the ECG signal using Healthy-pi HAT, the system measures vital signs and ECG using Raspberry-pi, after that, the data will be sent to a cloud system to analyze it and the data will be saved in the database system. The proposed system has an android app used by the customer, and a web application used by the doctor. Likewise, the framework will advise the nearest clinical center if there should be an occurrence of the patient's unexpected wellbeing disintegration, an SMS for the patient location using GPS will be sent. The way toward investigating the ECG signal depends on extricating its highlights, this will be performed by perusing the P-wave, QRS-complex, and T-wave, these are the three principle waves that ECGs comprise, and a large number of arrhythmia diagnosing depends on these qualities.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123865476","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}
Pub Date : 2020-11-28DOI: 10.1109/ACIT50332.2020.9300080
Samson Otieno Ooko, Jamila Kadam'manja, Marie Grace Uwizeye, Dagmawi Lemma
The use of Internet of Things (IoT) is fast growing and more objects need a connection to the internet to extend their capabilities. 6LoWPAN introduces the IPv6 usage to connect IEEE 802.15.4 networks providing a large address space to enable more devices to connect to the internet. Despite the advantages, there are also privacy and security issues that need to be mitigated. This review outlines the 6LoWPAN network architecture, the protocol stack, and its advantages and applications. The security and privacy issues have also been analyzed with solutions and recommendations given.
{"title":"Security Issues in IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN): A Review","authors":"Samson Otieno Ooko, Jamila Kadam'manja, Marie Grace Uwizeye, Dagmawi Lemma","doi":"10.1109/ACIT50332.2020.9300080","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300080","url":null,"abstract":"The use of Internet of Things (IoT) is fast growing and more objects need a connection to the internet to extend their capabilities. 6LoWPAN introduces the IPv6 usage to connect IEEE 802.15.4 networks providing a large address space to enable more devices to connect to the internet. Despite the advantages, there are also privacy and security issues that need to be mitigated. This review outlines the 6LoWPAN network architecture, the protocol stack, and its advantages and applications. The security and privacy issues have also been analyzed with solutions and recommendations given.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124286286","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}
Information and Communication Technologies (ICT) make the educational process more efficient by facilitating the imparting of information. Recently, many research and studies asserted that the use of ICT will significantly improve the outcomes of the educational process. Therefore, Saudi Arabia's government invested massively to integrate ICT in the education sector, but the implementation has been disappointing and not achieving the desired goals. Therefore, this study aims to explore the main factors behind the lack of ICT utilization in Saudi schools. Furthermore, the results of this study and the recommendations set forth in this paper will contribute towards the successful utilization of ICT in the education sector of Saudi Arabia and other Arab countries. Data have been collected by conducting semistructured questionnaires and interviews with teachers working at secondary schools in Madinah city. Then, these data have been analyzed by using qualitative and quantitative data analysis methods. The study reveals that there are four main factors behind the lack of ICT utilization, which are: lack of infrastructure and technical support, lack of ICT management and strategies, lack of ICT training courses, and negative teachers' attitudes and beliefs towards utilization of ICT. In conclusion, we provide some recommendations that contribute to overcoming these factors and promoting the full usage of ICT in the educational process.
{"title":"Investigating the Lack of Utilization of Information and Communication Technologies in Saudi Schools","authors":"Nouf Aljuhani, Elaaf Aljohani, Raghad Alharbi, Rasha Almutairi, Maram Meccawy","doi":"10.1109/ACIT50332.2020.9300058","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300058","url":null,"abstract":"Information and Communication Technologies (ICT) make the educational process more efficient by facilitating the imparting of information. Recently, many research and studies asserted that the use of ICT will significantly improve the outcomes of the educational process. Therefore, Saudi Arabia's government invested massively to integrate ICT in the education sector, but the implementation has been disappointing and not achieving the desired goals. Therefore, this study aims to explore the main factors behind the lack of ICT utilization in Saudi schools. Furthermore, the results of this study and the recommendations set forth in this paper will contribute towards the successful utilization of ICT in the education sector of Saudi Arabia and other Arab countries. Data have been collected by conducting semistructured questionnaires and interviews with teachers working at secondary schools in Madinah city. Then, these data have been analyzed by using qualitative and quantitative data analysis methods. The study reveals that there are four main factors behind the lack of ICT utilization, which are: lack of infrastructure and technical support, lack of ICT management and strategies, lack of ICT training courses, and negative teachers' attitudes and beliefs towards utilization of ICT. In conclusion, we provide some recommendations that contribute to overcoming these factors and promoting the full usage of ICT in the educational process.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124292402","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}
Pub Date : 2020-11-28DOI: 10.1109/ACIT50332.2020.9300084
Bilal I. Sowan, N. Matar, Firas Omar, Mohammad Alauthman, Mohammed Eshtay
A class decomposition is one of the possible solutions and the most important factors of success for the improvement of classification performance. The idea is to transform a dataset by categorizing each class label into groups or clusters. Thus, the transformation is done concerning data characteristics and similarities. This paper proposed a hybrid model for a class decomposition by the integration of gap statistic, k-means clustering algorithm, and Naive Bayes classifier. The model is based on clustering validity using gap statistic for enhancing the classifier performance. The model works by dividing each dataset into several subsets regarding its class labels. After that, the clustering validity using gap statistic is employed for estimating the optimal number of clusters for each subset that belong to a particular class label. The estimated number of clusters is used then as an input parameter for the k-means clustering algorithm for relabeling the data objects with a new class label in each subset. Every data object is allocated to each of the clusters generated by the k-means clustering algorithm, which consider it as the new class label. The proposed model integrates the class decomposition approach with Naive Bayes classifier to compare the performance of the proposed model under several classification measures. The model is validated and evaluated by employing different real-world datasets collected from the UCI machine learning repository. The experimental results show that a significant improvement in classification accuracy and F-measure when the class decomposition is applied. Also, the experiments indicate that using a class decomposition is not appropriate for all datasets.
{"title":"Evaluation of Class Decomposition based on Clustering Validity and K-means Algorithm","authors":"Bilal I. Sowan, N. Matar, Firas Omar, Mohammad Alauthman, Mohammed Eshtay","doi":"10.1109/ACIT50332.2020.9300084","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300084","url":null,"abstract":"A class decomposition is one of the possible solutions and the most important factors of success for the improvement of classification performance. The idea is to transform a dataset by categorizing each class label into groups or clusters. Thus, the transformation is done concerning data characteristics and similarities. This paper proposed a hybrid model for a class decomposition by the integration of gap statistic, k-means clustering algorithm, and Naive Bayes classifier. The model is based on clustering validity using gap statistic for enhancing the classifier performance. The model works by dividing each dataset into several subsets regarding its class labels. After that, the clustering validity using gap statistic is employed for estimating the optimal number of clusters for each subset that belong to a particular class label. The estimated number of clusters is used then as an input parameter for the k-means clustering algorithm for relabeling the data objects with a new class label in each subset. Every data object is allocated to each of the clusters generated by the k-means clustering algorithm, which consider it as the new class label. The proposed model integrates the class decomposition approach with Naive Bayes classifier to compare the performance of the proposed model under several classification measures. The model is validated and evaluated by employing different real-world datasets collected from the UCI machine learning repository. The experimental results show that a significant improvement in classification accuracy and F-measure when the class decomposition is applied. Also, the experiments indicate that using a class decomposition is not appropriate for all datasets.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124602870","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}
Pub Date : 2020-11-28DOI: 10.1109/ACIT50332.2020.9300069
S. Hamandi, A. M. Rahma, R. Hassan
Presently, the extraction of robust facial features is becoming very effective for accurate face recognition especially for smart security surveillance systems. This paper investigates three different moment invariants techniques for robust facial features extraction and then determine how each one of these moments is affected by whether the face image was thermal or on a greyscale with the proposal of a hybrid technique that deals with the robust descriptors of each method. This hybrid technique has improved the results and gave robust facial features for face identification. A feed-forward neural network is trained with these moments' features where the recognized faces are classified to one of the basic faces of IRIS and CARL face datasets which achieved high accuracy reaching 98.1% for thermal images and 81.2% for grey images.
{"title":"A New Hybrid Shape Moment Invariant Techniques for Face Identification in Thermal and Visible Visions","authors":"S. Hamandi, A. M. Rahma, R. Hassan","doi":"10.1109/ACIT50332.2020.9300069","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300069","url":null,"abstract":"Presently, the extraction of robust facial features is becoming very effective for accurate face recognition especially for smart security surveillance systems. This paper investigates three different moment invariants techniques for robust facial features extraction and then determine how each one of these moments is affected by whether the face image was thermal or on a greyscale with the proposal of a hybrid technique that deals with the robust descriptors of each method. This hybrid technique has improved the results and gave robust facial features for face identification. A feed-forward neural network is trained with these moments' features where the recognized faces are classified to one of the basic faces of IRIS and CARL face datasets which achieved high accuracy reaching 98.1% for thermal images and 81.2% for grey images.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123402912","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}
Pub Date : 2020-11-28DOI: 10.1109/ACIT50332.2020.9300107
A. Shaout, Nathan Schmidt
Cybersecurity is a major issue today. It is predicted that cybercrime will cost the world $6 trillion annually by 2021. It is important to make logins secure as well as to make advances in security in order to catch cybercriminals. This paper will design and create a device that will use Fuzzy logic to identify a person by the rhythm and frequency of their typing. The device will take data from a user from a normal password entry session. This data will be used to make a Fuzzy system that will be able to identify the user by their typing speed. An application of this project could be used to make a more secure log-in system for a user. The log-in system would not only check that the correct password was entered but also that the rhythm of how the password was typed matched the user. Another application of this system could be used to help catch cybercriminals. A cybercriminal may have a certain rhythm at which they type at and this could be used like a fingerprint to help officials locate cybercriminals.
{"title":"Keystroke Identifier Using Fuzzy Logic to Increase Password Security","authors":"A. Shaout, Nathan Schmidt","doi":"10.1109/ACIT50332.2020.9300107","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300107","url":null,"abstract":"Cybersecurity is a major issue today. It is predicted that cybercrime will cost the world $6 trillion annually by 2021. It is important to make logins secure as well as to make advances in security in order to catch cybercriminals. This paper will design and create a device that will use Fuzzy logic to identify a person by the rhythm and frequency of their typing. The device will take data from a user from a normal password entry session. This data will be used to make a Fuzzy system that will be able to identify the user by their typing speed. An application of this project could be used to make a more secure log-in system for a user. The log-in system would not only check that the correct password was entered but also that the rhythm of how the password was typed matched the user. Another application of this system could be used to help catch cybercriminals. A cybercriminal may have a certain rhythm at which they type at and this could be used like a fingerprint to help officials locate cybercriminals.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114248370","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}
Pub Date : 2020-11-28DOI: 10.1109/ACIT50332.2020.9300106
Sayed Ahmed, A. Kotb, Ehab Samir, M. Moustafa, E. Farg, Ahmed Abd Elhay, S. Arafat
Recently, the Egyptian government benefits from the digital transformation by developing different platforms to help manage and monitor the routine process. Rural land management is one of the critical issues that could significantly improve the economy. As far as we know, rural land management affects farmers and may cause agricultural land loss and waste of irrigation resources. Many attempts have been investigated to address this issue in Egypt. Therefore, we design and implement a WebGIS decision support system for rural land management in Wadi El-Natrun valley (WNDSS), El-Beheria governorate. The proposed WNDSS was developed using the client/server model and contains several functions, including data extraction, statistical analysis, and visualization via an interactive map. RESTful Web Service Application Programming Interfaces (APIs) were utilized as the communication interface between client and server. Finally, we use the browser to get the data by predefined API and to present the rural farms with Google Map API and jQuery JavaScript library. The online system provides several tools for governorate managers to (a) precise survey data, (b) powerful change detection suite, (c) Normalized Difference Vegetation Index (NDVI) multi-temporal,(d) multi-date land use land cover information, (e) statistics reporting tools, (f) tabular or spatial query for associated data.
{"title":"A WebGIS Decision Support System for Wadi El Natrun Rural Land Management","authors":"Sayed Ahmed, A. Kotb, Ehab Samir, M. Moustafa, E. Farg, Ahmed Abd Elhay, S. Arafat","doi":"10.1109/ACIT50332.2020.9300106","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300106","url":null,"abstract":"Recently, the Egyptian government benefits from the digital transformation by developing different platforms to help manage and monitor the routine process. Rural land management is one of the critical issues that could significantly improve the economy. As far as we know, rural land management affects farmers and may cause agricultural land loss and waste of irrigation resources. Many attempts have been investigated to address this issue in Egypt. Therefore, we design and implement a WebGIS decision support system for rural land management in Wadi El-Natrun valley (WNDSS), El-Beheria governorate. The proposed WNDSS was developed using the client/server model and contains several functions, including data extraction, statistical analysis, and visualization via an interactive map. RESTful Web Service Application Programming Interfaces (APIs) were utilized as the communication interface between client and server. Finally, we use the browser to get the data by predefined API and to present the rural farms with Google Map API and jQuery JavaScript library. The online system provides several tools for governorate managers to (a) precise survey data, (b) powerful change detection suite, (c) Normalized Difference Vegetation Index (NDVI) multi-temporal,(d) multi-date land use land cover information, (e) statistics reporting tools, (f) tabular or spatial query for associated data.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115065480","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}
Pub Date : 2020-11-28DOI: 10.1109/ACIT50332.2020.9300103
M. Zaiter, S. Hacini
IoT environment is one of important upshots of IT development; it offers comfort to human daily life. We are interested in our paper in the healthcare IoT field which aims to remotely monitor the patient's health state using a set of physiological IoT sensors. In IoT systems dependability is a strong constraint because the fault occurrence can have a bad consequence on human life. The fault tolerance is one of the mechanisms that can insure a dependable function of the IoT healthcare system. To do this, we improve in this paper the centralized agent based architecture [1] by proposing more robust distributed one. That is by eliminating the weakness due to the centralization of the control. This upgrading is motivated by the fact that the current improvement of the network technologies and the occurrence of new promising paradigms like edge computing and 5G [2] require different reasoning philosophy.
{"title":"A Distributed Fault Tolerance Mechanism for an IoT Healthcare system","authors":"M. Zaiter, S. Hacini","doi":"10.1109/ACIT50332.2020.9300103","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300103","url":null,"abstract":"IoT environment is one of important upshots of IT development; it offers comfort to human daily life. We are interested in our paper in the healthcare IoT field which aims to remotely monitor the patient's health state using a set of physiological IoT sensors. In IoT systems dependability is a strong constraint because the fault occurrence can have a bad consequence on human life. The fault tolerance is one of the mechanisms that can insure a dependable function of the IoT healthcare system. To do this, we improve in this paper the centralized agent based architecture [1] by proposing more robust distributed one. That is by eliminating the weakness due to the centralization of the control. This upgrading is motivated by the fact that the current improvement of the network technologies and the occurrence of new promising paradigms like edge computing and 5G [2] require different reasoning philosophy.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133736286","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}
Pub Date : 2020-11-28DOI: 10.1109/ACIT50332.2020.9300092
Marwa Meissa, Saber Benharzallah, L. Kahloul, O. Kazar
The core idea of IoT is the connectivity of real-world devices to the Internet, which allows them to expose their functionalities in APIs ways, communicate to other entities, and flow their data over internet. With the massive growth of connected IoT devices, the number of APIs have also increased. Thus, led up to overload information problem, which is making APIs selection more and more difficult for devices owners and users. Therefore, this paper propose web APIs recommendation framework in IoT environment based on social relationships. The main purpose is providing a novel Recommendation method, which enable to discover APIs and provide relevant suggestion for users. The proposed hybrid algorithm is combined content-based filtering and collaborative filtering techniques to improve the accuracy of rating prediction. Finally, experiments are conducted to evaluate the performance of recommendation.
{"title":"Social-aware Web API Recommendation in IoT","authors":"Marwa Meissa, Saber Benharzallah, L. Kahloul, O. Kazar","doi":"10.1109/ACIT50332.2020.9300092","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300092","url":null,"abstract":"The core idea of IoT is the connectivity of real-world devices to the Internet, which allows them to expose their functionalities in APIs ways, communicate to other entities, and flow their data over internet. With the massive growth of connected IoT devices, the number of APIs have also increased. Thus, led up to overload information problem, which is making APIs selection more and more difficult for devices owners and users. Therefore, this paper propose web APIs recommendation framework in IoT environment based on social relationships. The main purpose is providing a novel Recommendation method, which enable to discover APIs and provide relevant suggestion for users. The proposed hybrid algorithm is combined content-based filtering and collaborative filtering techniques to improve the accuracy of rating prediction. Finally, experiments are conducted to evaluate the performance of recommendation.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133662889","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}
Pub Date : 2020-11-28DOI: 10.1109/ACIT50332.2020.9300094
Hassanin M. Al-Barhamtoshy, R. Younis
The study aims to use artificial intelligent model to accelerate multi-disciplinary sciences such as biology and physics in scientific discoveries to predict protein structure based on its genetic sequences. This paper presents an intelligent model to correct error sequences of the DNA. Therefore, dataset in genome structure will be used to predict error corrections in DNA sequences of proteins. Accordingly, Nucleus library and TensorFlow are integrated and used for these corrections. To correct sequence errors of DNA, three types of errors: insert spurious base, delete of base, and substitute one base by another. The paper will implement a computational deep neural network based on CNN with TensorFlow to correct such DNA sequence errors.
{"title":"DNA Sequence Error Corrections based on TensorFlow","authors":"Hassanin M. Al-Barhamtoshy, R. Younis","doi":"10.1109/ACIT50332.2020.9300094","DOIUrl":"https://doi.org/10.1109/ACIT50332.2020.9300094","url":null,"abstract":"The study aims to use artificial intelligent model to accelerate multi-disciplinary sciences such as biology and physics in scientific discoveries to predict protein structure based on its genetic sequences. This paper presents an intelligent model to correct error sequences of the DNA. Therefore, dataset in genome structure will be used to predict error corrections in DNA sequences of proteins. Accordingly, Nucleus library and TensorFlow are integrated and used for these corrections. To correct sequence errors of DNA, three types of errors: insert spurious base, delete of base, and substitute one base by another. The paper will implement a computational deep neural network based on CNN with TensorFlow to correct such DNA sequence errors.","PeriodicalId":193891,"journal":{"name":"2020 21st International Arab Conference on Information Technology (ACIT)","volume":"339 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134296096","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}
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