Al-Salam Journal for Engineering and Technology最新文献

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DETECTION OF ROAD DAMAGES(CRACKS) IN IRAQ BASED ON MACHINE LEARNING 基于机器学习的伊拉克道路损坏（裂缝）检测

Al-Salam Journal for Engineering and Technology Pub Date : 2024-06-11 DOI: 10.55145/ajest.2024.03.02.02

Noor Hamzah Nwelee

{"title":"DETECTION OF ROAD DAMAGES(CRACKS) IN IRAQ BASED ON MACHINE LEARNING","authors":"Noor Hamzah Nwelee","doi":"10.55145/ajest.2024.03.02.02","DOIUrl":"https://doi.org/10.55145/ajest.2024.03.02.02","url":null,"abstract":"That research aims to develop road maintenance operations that include the road survey process to determine types of defects, knowing the type of proposed maintenance, solving the problem of reporting road problems, and also seeks to facilitate the process of road maintenance at the lowest possible costs To achieve these goals, a project is being designed that automates road maintenance and uses artificial intelligence to determine kind of defect in the way by using the libraries (tensorflow with Detection Object). The proposed study will reach a number of results, which are identifying the defect, knowing its type, , and conducting some engineering operations and calculations to determine the state of the roadway, as a final output. This study will use a deep learning-based object detection method to identify road cracks under different shooting, weather, and illumination scenarios. This makes it possible to identify any cracks in a very short amount of time and at a low cost. Images will take in different weather conditions, such as the intensity of brightness being high, medium or very low. They will also be taken in foggy, rainy and dark conditions. Pictures are also taken at different distances (such as one meter, half a meter, one and a half meters) to study the behavior of the pictures and the possibility of extracting defects from them in different circumstances.","PeriodicalId":518364,"journal":{"name":"Al-Salam Journal for Engineering and Technology","volume":"10 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141356144","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}

引用次数: 0

A Survey on Bio-inspired Algorithms of Cybersecurity 网络安全生物启发算法概览

Al-Salam Journal for Engineering and Technology Pub Date : 2024-01-19 DOI: 10.55145/ajest.2024.03.01.013

Alia A. Hussein

{"title":"A Survey on Bio-inspired Algorithms of Cybersecurity","authors":"Alia A. Hussein","doi":"10.55145/ajest.2024.03.01.013","DOIUrl":"https://doi.org/10.55145/ajest.2024.03.01.013","url":null,"abstract":"Cyberspace has evolved into a vital resource and dynamic hub for modern living as a result of a rising reliance on information, technology, and communication. As a result, cyber security concerns are a worldwide phenomenon with disastrous effects. Because of its worldwide connectivity and data explosion, cyberspace is complicated and unpredictable, and as cyber infrastructures get more intricate and dynamic, so does the threat surface. Cyberspace management, or securing and assuring security, calls for the use of sophisticated complex systems. Natural tendencies that facilitate adaptability for survival have been generated by nature through evolution in complex systems, including animal and plant life. By using them in cyber security, predation-avoidance and anti-predation strategies used by non-extinct prey could be exploited or adopted as mechanisms for adaptability. An overview of the existing situation of is provided in this chapter. With the explosion of data generation, finding optimal solutions to data-driven issues is becoming increasingly difficult, if not impossible. It is becoming increasingly clear that the use of intelligent bio-inspired algorithms is required for addressing highly complex problems and providing working solutions in a timely manner, especially when dealing with dynamic problem definitions, fluctuating constraints, incomplete or imperfect information, and limited computation capacity. As a result, more and more intelligent algorithms are being investigated for solving various complex issues.","PeriodicalId":518364,"journal":{"name":"Al-Salam Journal for Engineering and Technology","volume":"491 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531221","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}

引用次数: 0