Pub Date : 2021-11-01DOI: 10.21608/fuje.2021.205144
Islam N. Fathy, A. El-Sayed, Waleed H. Sufe
Fire in buildings is nearly always manmade, i.e. resulting from negligence or error, which can cause immense damage in terms of lives and property [1]. But when we deal with nuclear constructions (like nuclear power plants NPP), the dangers of fire do not stop only at the potential damage that the concrete structure is exposed to, but rather extends to the risk of a radiation leak that may cause serious damage to the human life and all living creatures. For this reason, designers of nuclear constructions (which are mostly reinforced concrete) give special attention for making the concrete structure capable of resisting the effects of fire or thermal leakage, as well as having a high ability to resist all types of radiation (specially gamma ray radiation). On the other hand, incorporation of nano additives into concrete structures components become a promising field of research these days. The current study tries to investigate the effect of using different nano materials (Nano silica, Nanoclay, and hybrid mix of both materials) as a cement replacement into the concrete radiation resistance ability (in the term of linear attenuation coefficient μ). Results showed remarkable enhancement on the values of μ at all temperature degrees. For the conduct of reliable estimate and prediction of the values μ, this study adopts the fuzzy logic models as powerful tools of artificial intelligence to model the non-linear cause and effect relationships. Prediction results was superior when compared with traditional linear regression analysis.
{"title":"Predicting Gamma Ray Linear Attenuation Coefficient for Different Nano-Concrete Types Using Artificial Intelligence","authors":"Islam N. Fathy, A. El-Sayed, Waleed H. Sufe","doi":"10.21608/fuje.2021.205144","DOIUrl":"https://doi.org/10.21608/fuje.2021.205144","url":null,"abstract":"Fire in buildings is nearly always manmade, i.e. resulting from negligence or error, which can cause immense damage in terms of lives and property [1]. But when we deal with nuclear constructions (like nuclear power plants NPP), the dangers of fire do not stop only at the potential damage that the concrete structure is exposed to, but rather extends to the risk of a radiation leak that may cause serious damage to the human life and all living creatures. For this reason, designers of nuclear constructions (which are mostly reinforced concrete) give special attention for making the concrete structure capable of resisting the effects of fire or thermal leakage, as well as having a high ability to resist all types of radiation (specially gamma ray radiation). On the other hand, incorporation of nano additives into concrete structures components become a promising field of research these days. The current study tries to investigate the effect of using different nano materials (Nano silica, Nanoclay, and hybrid mix of both materials) as a cement replacement into the concrete radiation resistance ability (in the term of linear attenuation coefficient μ). Results showed remarkable enhancement on the values of μ at all temperature degrees. For the conduct of reliable estimate and prediction of the values μ, this study adopts the fuzzy logic models as powerful tools of artificial intelligence to model the non-linear cause and effect relationships. Prediction results was superior when compared with traditional linear regression analysis.","PeriodicalId":267155,"journal":{"name":"Fayoum University Journal of Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116175223","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 : 2021-11-01DOI: 10.21608/fuje.2021.204971
Hisham Aref, Shimaa Magdy, Niveen Gomaa
{"title":"آلية لتوطين الخدمات العامة في مصر بالاعتماد على توافقها","authors":"Hisham Aref, Shimaa Magdy, Niveen Gomaa","doi":"10.21608/fuje.2021.204971","DOIUrl":"https://doi.org/10.21608/fuje.2021.204971","url":null,"abstract":"","PeriodicalId":267155,"journal":{"name":"Fayoum University Journal of Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127748747","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 : 2021-11-01DOI: 10.21608/fuje.2021.205134
Hisham Aref, Shimaa Magdy, Niveen Gomaa
{"title":"نحو تطبيق آلية الاستخدام المتعدد للأراضى في مصر","authors":"Hisham Aref, Shimaa Magdy, Niveen Gomaa","doi":"10.21608/fuje.2021.205134","DOIUrl":"https://doi.org/10.21608/fuje.2021.205134","url":null,"abstract":"","PeriodicalId":267155,"journal":{"name":"Fayoum University Journal of Engineering","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124494496","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 : 2021-11-01DOI: 10.21608/fuje.2021.205140
T. Barakat, Mai Elbadwey, K. Ibrahim
A Brain Tumor Classification Framework has been outlined and created. The framework uses computer based strategies to identify tumor blocks or lesions and classify the sort of tumor utilizing matching histogram in MRI images of different patients with brain tumors. The picture processing methods such as picture segmentation, picture enhancement. Several techniques can classify the tumor such as Support vector machine (SVM), artificial neural networks (ANN), and Naive Bayes, but they did not accomplish the required accuracy. The automatic classification of tumors requires high precision since the non-accurate conclusion would cause a rise within the predominance of more serious diseases. In this paper, the proposed method using fuzzy logic and genetic algorithm based on image histogram to enhance the brain tumor classification. The experimental result showed that our technique is more effective than the previous techniques, as well as the classification accuracy efficiency is 99.9%.
{"title":"Early Classification of Brain Tumor Based on Image Histogram Using Fuzzy-Genetic Algorithm","authors":"T. Barakat, Mai Elbadwey, K. Ibrahim","doi":"10.21608/fuje.2021.205140","DOIUrl":"https://doi.org/10.21608/fuje.2021.205140","url":null,"abstract":"A Brain Tumor Classification Framework has been outlined and created. The framework uses computer based strategies to identify tumor blocks or lesions and classify the sort of tumor utilizing matching histogram in MRI images of different patients with brain tumors. The picture processing methods such as picture segmentation, picture enhancement. Several techniques can classify the tumor such as Support vector machine (SVM), artificial neural networks (ANN), and Naive Bayes, but they did not accomplish the required accuracy. The automatic classification of tumors requires high precision since the non-accurate conclusion would cause a rise within the predominance of more serious diseases. In this paper, the proposed method using fuzzy logic and genetic algorithm based on image histogram to enhance the brain tumor classification. The experimental result showed that our technique is more effective than the previous techniques, as well as the classification accuracy efficiency is 99.9%.","PeriodicalId":267155,"journal":{"name":"Fayoum University Journal of Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126085373","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 : 2021-11-01DOI: 10.21608/fuje.2021.204970
M. Salama
{"title":"دور النقل الحضرى المستدام فى حل مشکلة تلوث الهواء فى القاهرة الکبرى","authors":"M. Salama","doi":"10.21608/fuje.2021.204970","DOIUrl":"https://doi.org/10.21608/fuje.2021.204970","url":null,"abstract":"","PeriodicalId":267155,"journal":{"name":"Fayoum University Journal of Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125290094","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 : 2021-11-01DOI: 10.21608/fuje.2021.205156
Eslam Ahmed, Mennatullah Albarawy, K. Ibrahim
The optimal sizing of a hybrid energy system may be a difficult undertaking problem, because of the huge number of structure settings and the irregular nature of solar radiation and wind power sources. This issue has a place with the classification of combinatorial enhancement, and its solution dependent on the classical technique may be a waste of time. This paper proposes a Genetic Algorithm (GA) methodology to find the optimal sizing of a hybrid Photovoltaic, Wind Turbine, Battery Storage, and Diesel Generators (PV/WT/BA/DG) energy system based on the number of PV modules, the number of wind turbines, the number of batteries, the number of diesel generators, the slope angle of PV panel and a hub height of wind turbine as the design parameters and study its effect on the Levelized Cost of Energy (LCOE). The proposed method aims to minimize the LCOE with high reliability of load supplying by increasing the design variables gradually. The proposed method will be tested at different sites with various metrological data to ensure its robustness. The results show that the LCOE decreases as the design parameters increase, also that the average wind-speed is inversely proportional to the LCOE of the site under study.
{"title":"The Most Economical Design of Hybrid PV/Wind/Battery/Diesel Generator Energy System Considering Various Number of Design Parameters Based on Genetic Algorithm","authors":"Eslam Ahmed, Mennatullah Albarawy, K. Ibrahim","doi":"10.21608/fuje.2021.205156","DOIUrl":"https://doi.org/10.21608/fuje.2021.205156","url":null,"abstract":"The optimal sizing of a hybrid energy system may be a difficult undertaking problem, because of the huge number of structure settings and the irregular nature of solar radiation and wind power sources. This issue has a place with the classification of combinatorial enhancement, and its solution dependent on the classical technique may be a waste of time. This paper proposes a Genetic Algorithm (GA) methodology to find the optimal sizing of a hybrid Photovoltaic, Wind Turbine, Battery Storage, and Diesel Generators (PV/WT/BA/DG) energy system based on the number of PV modules, the number of wind turbines, the number of batteries, the number of diesel generators, the slope angle of PV panel and a hub height of wind turbine as the design parameters and study its effect on the Levelized Cost of Energy (LCOE). The proposed method aims to minimize the LCOE with high reliability of load supplying by increasing the design variables gradually. The proposed method will be tested at different sites with various metrological data to ensure its robustness. The results show that the LCOE decreases as the design parameters increase, also that the average wind-speed is inversely proportional to the LCOE of the site under study.","PeriodicalId":267155,"journal":{"name":"Fayoum University Journal of Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130149846","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 : 2021-11-01DOI: 10.21608/fuje.2021.204962
Mona Soliman, Rabab Mohamed, A. Mahmoud
{"title":"أسس تصميم الفراغات المفتوحة بمدارس التعليم الأساسى الذکية لذوى الاحتياجات الخاصة (مدارس ا لأمل للصم وضعاف السمع)","authors":"Mona Soliman, Rabab Mohamed, A. Mahmoud","doi":"10.21608/fuje.2021.204962","DOIUrl":"https://doi.org/10.21608/fuje.2021.204962","url":null,"abstract":"","PeriodicalId":267155,"journal":{"name":"Fayoum University Journal of Engineering","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132163635","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 : 2021-06-01DOI: 10.21608/fuje.2021.205524
{"title":"النموذج الرياضي لإعداد البرنامج الفراغي للمشروعات محددة الميزانية - دراسة تطبيقية على مبنى إداري بجامعة الفيوم","authors":"","doi":"10.21608/fuje.2021.205524","DOIUrl":"https://doi.org/10.21608/fuje.2021.205524","url":null,"abstract":"","PeriodicalId":267155,"journal":{"name":"Fayoum University Journal of Engineering","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125108568","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 : 2021-06-01DOI: 10.21608/fuje.2021.205537
Margret Abdel Malek, Rania Abuelsoud, A. Nashat
Medical, Aromatic, and Narcotic plants are a natural treasure that grows in the desert without human being interference. They can be used in pharmaceutical industries (medicines), medical usage (medical anesthetic), perfumes industries, and cooking. Thus, they are very useful, available, and can be utilized for the sake of human beings. On the other hand, some of these plants are harmful to our bodies and must be strictly prohibited. So, it is necessary to design and implement an image processing system to detect these plants. This system can be applied by the Ministry of Agriculture and Armed Force. After surveying deserts and taking photos of plants by a small camera attached to a drone, they can be inserted into the system to detect the type of captured plant and take action. In this paper, an automatic computer vision system is proposed to identify six types of desert plants. First, a nine-class collected database is prepared. Second, an artificial neural network-based framework, which uses color, DWT, the ratio between the major and the minor axes of the plants, and Tamura statistical texture features, is employed to classify plants. Outcomes and the results of the suggested system have competed with several techniques such as the SVM, the Naive Bayes, the KNN, the decision tree, and discriminant analysis classifiers. Results reveal that the proposed system has the highest overall recognition rate, which is 94.3%, among other techniques.
{"title":"Medical, Aromatic, and Narcotic Plants Classification using an Artificial Neural Network","authors":"Margret Abdel Malek, Rania Abuelsoud, A. Nashat","doi":"10.21608/fuje.2021.205537","DOIUrl":"https://doi.org/10.21608/fuje.2021.205537","url":null,"abstract":"Medical, Aromatic, and Narcotic plants are a natural treasure that grows in the desert without human being interference. They can be used in pharmaceutical industries (medicines), medical usage (medical anesthetic), perfumes industries, and cooking. Thus, they are very useful, available, and can be utilized for the sake of human beings. On the other hand, some of these plants are harmful to our bodies and must be strictly prohibited. So, it is necessary to design and implement an image processing system to detect these plants. This system can be applied by the Ministry of Agriculture and Armed Force. After surveying deserts and taking photos of plants by a small camera attached to a drone, they can be inserted into the system to detect the type of captured plant and take action. In this paper, an automatic computer vision system is proposed to identify six types of desert plants. First, a nine-class collected database is prepared. Second, an artificial neural network-based framework, which uses color, DWT, the ratio between the major and the minor axes of the plants, and Tamura statistical texture features, is employed to classify plants. Outcomes and the results of the suggested system have competed with several techniques such as the SVM, the Naive Bayes, the KNN, the decision tree, and discriminant analysis classifiers. Results reveal that the proposed system has the highest overall recognition rate, which is 94.3%, among other techniques.","PeriodicalId":267155,"journal":{"name":"Fayoum University Journal of Engineering","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122136619","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 : 2021-06-01DOI: 10.21608/fuje.2021.205533
Ehab Okba, Mohammed Meselhy, Maha El Fakharany
{"title":"منهج لتحسين فاعلية الطاقة في المباني من خلال تطبيق تقنيات الهندسة القيمية","authors":"Ehab Okba, Mohammed Meselhy, Maha El Fakharany","doi":"10.21608/fuje.2021.205533","DOIUrl":"https://doi.org/10.21608/fuje.2021.205533","url":null,"abstract":"","PeriodicalId":267155,"journal":{"name":"Fayoum University Journal of Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128651818","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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