Enterprise Resource Planning development and deployment is in many occasions a considerably significant step in the complete transformation road map related to business. A correct selection of an ERP software is essen...
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In this study, a web-based log collection framework application suitable for secure software development processes has been developed, which aims to create an infrastructure for solutions to be developed for the effec...
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ISBN:
(数字)9798350353488
ISBN:
(纸本)9798350353495
In this study, a web-based log collection framework application suitable for secure software development processes has been developed, which aims to create an infrastructure for solutions to be developed for the effective and efficient management of water resources in water management systems, one of the critical infrastructures, and for the cyber security of these systems. Within the scope of the study, an integrated system has been designed that collects field data from the OPC server and then transfers it to the relevant platforms for processing or storage. This system has been developed on the basis of modern softwareengineering principles and DevSecOps methods. These approaches aim to increase the automation, security and sustainability of the software development process. In addition, continuous integration and continuous deployment (CI/CD) processes have been automated using GitLab and Docker. Thus, code changes can be tested and deployed quickly. In addition, the API developed *** Core also performs user authentication and authorization processes.
The sheer complexity of modern systems requires compositional approaches to variability modelling. To manage the variability of large systems’ architecture, feature models are widely used at design-time, with several...
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software Defined Network (SDN) proposes a network architecture approach which can be used to intelligently and centrally control the network environment using software applications by decoupling control plane from dat...
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The multiple electric vehicles (EVs) charging scheduling problem is a challenging issue in the context of sustainable urban mobility. To address this complex problem, a mixed reward multi-agent deep deterministic poli...
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Due to the highly competitive and dynamic mobile application (app) market, app developers need to release new versions regularly to improve existing features and provide new features for users. To accomplish the maint...
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The need for path planning in environments for autonomous vehicles is greatly elevated in scenarios of high stress or intensity prone to human error. Deep reinforcement learning has been used as a possible mechanism t...
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Federated learning is a distributed learning solution that achieves high-quality machine learning models while ensuring privacy and collaboration among various end devices. However, different kinds of end devices can ...
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With the rapid development of computer technology, the importance of database systems as an indispensable part of information systems is becoming more and more prominent. And nowadays, the society has been increasingl...
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