International Journal of Advanced Engineering and Business Sciences最新文献

{"title":"Sustainability criteria used in designing energy-efficient smart cities A study of Masdar City as a model for one of the smart cities that realize the idea of sustainable development","authors":"Iaems FIRST CONFERENCE","doi":"10.21608/ijaebs.2022.161579.1037","DOIUrl":"https://doi.org/10.21608/ijaebs.2022.161579.1037","url":null,"abstract":"","PeriodicalId":360790,"journal":{"name":"International Journal of Advanced Engineering and Business Sciences","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115149807","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 stochastic Approach for Environmental Operation in Microgrids Considering Parameters Uncertainty","authors":"M. Hassan","doi":"10.21608/ijaebs.2023.161582.1040","DOIUrl":"https://doi.org/10.21608/ijaebs.2023.161582.1040","url":null,"abstract":"","PeriodicalId":360790,"journal":{"name":"International Journal of Advanced Engineering and Business Sciences","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129130815","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":"Enhancing the performance of Wound-Rotor Self-Excited Induction Generator for Wind Energy Application","authors":"S. Sayed, S. Sharaf, F.M.M. Bassiouny","doi":"10.21608/ijaebs.2022.176494.1075","DOIUrl":"https://doi.org/10.21608/ijaebs.2022.176494.1075","url":null,"abstract":"","PeriodicalId":360790,"journal":{"name":"International Journal of Advanced Engineering and Business Sciences","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128758237","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 New Proteus Model to Analyse Shading Effect on PV Standalone System","authors":"A. Ryad, Abdelhalim A Zekry","doi":"10.21608/ijaebs.2023.161581.1039","DOIUrl":"https://doi.org/10.21608/ijaebs.2023.161581.1039","url":null,"abstract":"","PeriodicalId":360790,"journal":{"name":"International Journal of Advanced Engineering and Business Sciences","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123108516","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":"Development of International Roughness Index from Pavement Distress Using Artificial Neural Networks (ANNs)","authors":"A. Ali, Mohamed Esekbi, M. Sreh","doi":"10.21608/ijaebs.2023.165192.1054","DOIUrl":"https://doi.org/10.21608/ijaebs.2023.165192.1054","url":null,"abstract":"Roughness index forecasts are essential for optimizing pavement rehabilitation and treatment programs. The main objective of this study is to investigate the effect of pavement distress on pavement performance and develop International Roughness Index models (IRI) for dry no freeze regions in the U","PeriodicalId":360790,"journal":{"name":"International Journal of Advanced Engineering and Business Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124489692","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":"INSIGHTS FOR DESIGN OF DISCHARGE AND INJECTION WELLS USING VISUAL MODFLOW IN COSTAL AQUIFERS","authors":"Iaems FIRST CONFERENCE","doi":"10.21608/ijaebs.2023.161577.1035","DOIUrl":"https://doi.org/10.21608/ijaebs.2023.161577.1035","url":null,"abstract":"","PeriodicalId":360790,"journal":{"name":"International Journal of Advanced Engineering and Business Sciences","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114588377","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":"Fractional Order PID Controller Design for Maximum Power Point Tracking of Dynamic Loaded PV System","authors":"M. Bahgat","doi":"10.21608/ijaebs.2022.164919.1051","DOIUrl":"https://doi.org/10.21608/ijaebs.2022.164919.1051","url":null,"abstract":"PV installations and systems running under variable irradiation and temperature, produce a variance in its output voltage, resulting in control challenges. The constant output voltage from such systems despite the variations in the produced voltage and load is maintained by employing a DC converter. This paper presents the design of a maximum power point tracking (MPPT) on DC converter controller for a system. Fractional Order Proportional-Integral-Derivative (FOPID) and Proportional-Integral-Derivative (PID) controllers have been implemented to the system converter as a proposed control approach. Particle Swarm Optimization (PSO) is used as optimization technique for determining the optimal parameters of (FOPID & PID) controllers for tracking the output voltage from trained Adaptive Neuro Fuzzy Inference System (ANFIS) that is corresponding to maximum power generated from (PV) module. The PV system with the dynamic load is modeled and simulated by using the MATLAB/Simulink environment. The system performance is displayed in the form of a family of curves under different operating conditions. a result of the additional power gathered from the modules [3]. This study presents the design of a maximum power point tracking MPPT controller on the DC converter for a dynamic loaded PV system. As a control technique, the optimal PID (PID) and a fractional order PID (FO-PID) controllers are proposed. The introduced MPPT method employs an Adaptive Neuro Fuzzy Inference System (ANFIS). The system converter will be controlled by the proposed controllers. The parameters of both PID & FO-PID controllers have been optimized using the Particle Swarm Optimization PSO method to track the output voltage from the ANFIS unit which will be equivalent to the maximum power generated by the PV module. The PV system with the dynamic load is modeled and simulated using the MATLAB/Simulink environment. A family of curves are used to illustrate the system performance under various operating conditions This work presents a model of photovoltaic PV array supplying a dynamic load as a DC motor via DC– DC converter. PID & FOPID controllers are used for tracking the voltage Vmpp corresponding to the maximum power point Pmpp of the PV array. The desired value for Vmpp of the PV has been generated from a trained Adaptive Fuzzy Inference System ANFIS. Particle swarm optimization PSO is used as the optimization technique for determining the optimal parameters of both the PID and the FOPID controllers for maximum power point tracking MPPT of the PV system. The overall system is modeled and simulated by Simulink in MATLAB program. FOPID controller was more efficient in improving the response characteristics as well as reducing the steady state-error, rise time, settling time and maximum overshoot.","PeriodicalId":360790,"journal":{"name":"International Journal of Advanced Engineering and Business Sciences","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128305931","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 Overview and Study of Labor Safety in Building Construction Sites of Egypt","authors":"K. Muhammad","doi":"10.21608/ijaebs.2022.160211.1033","DOIUrl":"https://doi.org/10.21608/ijaebs.2022.160211.1033","url":null,"abstract":"In Egypt and many countries, Construction sites are among the hazardous places where injuries and fatalities workplace of workers commonly happen. The average number of accidents was 16.03, and the proportion of accident occurrences concerning the total number of people was 62.8 percent. Due to the high number of accidents that occur in construction and the consequences, this has for workers, organizations, society, and countries, occupational safety, and health (OSH) has become a critical issue for stakeholders to take care of the human resource. For this reason, the classification of documents was carried out following the Occupational Safety and Health Cycle, composed of five steps: regulation, education and training, risk assessment, risk prevention, and accident analysis. We then used the knowledge acquired, objective results, and lessons learned to develop recommendations related to the profile, main functions, and best practices for health and safety coordination performance. Most accidents could have been prevented if the OSH principles had been put into practice at workplaces in Egypt..","PeriodicalId":360790,"journal":{"name":"International Journal of Advanced Engineering and Business Sciences","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115369239","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":"Development of Expert System for AOSpine Thoracolumber Spine Injury Classification: An Application for Healthcare Providers","authors":"Soaad M. Naguib","doi":"10.21608/ijaebs.2022.155431.1028","DOIUrl":"https://doi.org/10.21608/ijaebs.2022.155431.1028","url":null,"abstract":". This article presents the development of expert system application that mimics the steps done by healthcare providers who are responsible for determining the type of spine injury by using the algorithm of AOSpine thoracolumbar spine injury classification. The expert system is capable of recommending the type of spine fracture; this recommendation done by the proposed expert system will facilitate the selection of treatment and referral of the patients to the specialized healthcare unit. The source of knowledge used in the proposed expert system was collected from various related literature studies and spine surgeons. The proposed expert system was evaluated by a group of spine surgeons at the spine unit, College of Medicine, Zagazig University, Egypt. The proposed expert system was then evaluated in terms of its functionality, usability, and reliability using the ISO/IEC 9126 software quality standards. The results showed that the proposed expert system was able to achieve the defined objectives of this study.","PeriodicalId":360790,"journal":{"name":"International Journal of Advanced Engineering and Business Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129403352","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":"Intelligent system for bar detection based on Non-negative Matrix Factorization Algorithms","authors":"I. Selim, shimaa elbably, Walid Dabour","doi":"10.21608/ijaebs.2022.160768.1034","DOIUrl":"https://doi.org/10.21608/ijaebs.2022.160768.1034","url":null,"abstract":"In this paper, a new automated machine supervised learning method for bar detection scheme in spiral galaxies based on the Nonnegative Matrix Factorization algorithm have been presented. Nonnegative matrix factorization has been introduced in this paper to detection bar in spiral galaxies, which is very easy to use, and gives us a good accuracy. Detection bar in spiral galaxies is the main objective of this research. WE describe an entirely automated method that extract feature from spiral galaxies and then automatically bar detection. The algorithm is trained using manually bared and non-bared images of spiral galaxies. The algorithm show that the bar in spiral images from the EFIGI catalog can be detected automatically with an accuracy of 97.3% with an average processing time of 0.37 s per galaxy compared to bar detection carried out by other authors and manually detection.","PeriodicalId":360790,"journal":{"name":"International Journal of Advanced Engineering and Business Sciences","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125033570","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}