this study examines how the introductory engineering course can engage students in learning Industry 4.0 concepts and enhance their digital technology skills through simulation-based design activities. the students us...
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this study examines how the introductory engineering course can engage students in learning Industry 4.0 concepts and enhance their digital technology skills through simulation-based design activities. the students used cloud-based design and simulation tools to resolve a system operation problem. they examined the motion of a digital model of a satellite under micro -gravity conditions and detected its instability (Dzhanibekov effect). then, they redesigned the model and verified its motion stability through simulation. the experimental setup combined the cloud-based CAD platform Onshape and the simulation software Blender. the students' performances, understanding, and perceptions were evaluated using conventional research tools and the data analytics tools of Onshape. Findings showed that the students successfully performed the workshop assignment, correctly answered the questions about the factors that cause motion instability and appreciated the contribution of the workshop. the study demonstrated the potential of online simulation-based design practices for educating novice engineering students.
A collective adaptive system is made up of cooperating entities that can adjust in real time to evolving, open environments and shifting requirements. To ensure such a system meets its intended goals, rigorous enginee...
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ISBN:
(纸本)9783031751066;9783031751073
A collective adaptive system is made up of cooperating entities that can adjust in real time to evolving, open environments and shifting requirements. To ensure such a system meets its intended goals, rigorous engineering must employ suitable methods and tools. this introduction offers a short overview of the 5(th) edition of the track "Rigorous engineering of Collective Adaptive systems" and briefly presents the 20 scientific contributions, organised into seven thematic sections. Large Ensembles and Collective Dynamics, Knowledge, Consciousness and Emergence, Automated Reasoning for Better Interaction, Modelling and engineering Collective Adaptive systems, Analysing Collective Adaptive systems.
software testing is crucial for ensuring software quality, including security. this research presents a case study examining manual and open-source tool-based security testing of an e-commerce website. By applying var...
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Since the invention of cloud computing technologies, the term "cloud-native" has been used. In recent years, research into cloud-native technology has grown along withthe development of cloud computing tech...
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ISBN:
(纸本)9798350386783;9798350386776
Since the invention of cloud computing technologies, the term "cloud-native" has been used. In recent years, research into cloud-native technology has grown along withthe development of cloud computing technology. One of the most popular software architectures of our time, cloud-native architecture integrates cloud-native technology to conventional distributed architectures and aligns withthe characteristics of modern cloud usage. this article examines the history of cloudnative technologies, warehouse information systems, and pertinent literature. It suggests a three-tier design for a Cloud-Native Warehouse Management and Control Platform (CWMCP), combining the traits of automated storage and retrieval systems (AS/RS). the study examines the functioning of the data layer, service layer, and application layer as well as their logical relationships and discusses each layer's specific design, deployment, and features in detail. Based on operational requirements of AS/RS warehouses, we developed a business analysis framework integrating algorithms, and created a prototype cloud-native warehouse management system (CWMS). We then analyzed the platform's advanced architecture and verified its effectiveness. CWMCP is in high demand and a promising trend for enabling digital and intelligent transformation of AS/RS systems.
this study proposes a set of improved defect categorization criteria and analysis strategies based on a synthesis of a variety of commonly used software defect categorization methods, combined withthe actual software...
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the software development life cycle (SDLC) is a structured process for delivering a high-quality product within a specified timeframe. Developing a cost-effective and efficient software product life cycle has always b...
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software quality enhancement can be done by identifying the refactoring scope of the existing open-source projects in real time. the refactoring mechanism alters the internal structure of the code base without changin...
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the advancements in information technology and computer-aided design have paved the way for virtual modeling and exploration of real-life objects. In the realm of CAD systems, there are subgroups of specialized softwa...
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Unpredictable fruit and vegetable prices create significant challenges for farmer livelihoods. this research proposes an innovative approach using recurrent neural networks (RNNs) to predict both minimum and maximum p...
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softwaresystems are growing in size and complexity. these properties make software defect prevention challenging. thus, automatically predicting software module defects can help engineers conserve resources. Several ...
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