Sökning: "Architecture Industry"

Visar resultat 16 - 20 av 585 uppsatser innehållade orden Architecture Industry.

1. 16. Energy Consumption of Micro Frontends : A comparison of micro frontends and single-page applications

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Maja Tennander; [2023]
   Nyckelord :Micro frontends; Microservices; Frontend development; Sustainability; Energy consumption; Micro-frontend-applikationer; Mikrotjänster; Frontend-utveckling; Hållbarhet; Energiförbrukning;

   Sammanfattning : To combat climate change, an important part is reducing our energy consumption and the greenhouse gas emissions caused by it. Therefore, it is important that developers get the means to understand how the different development approaches and tools they use affect the ecological footprint of the systems they develop. LÄS MER

3. 17. Evaluation of deep learning methods for industrial automation

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Ragnar Onning; [2023]
   Nyckelord :artificial intelligence; machine learning; deep learning; cnn; transformer; swin; swin transformer;

   Sammanfattning : The rise and adaptation of the transformer architecture from natural language processing to visual tasks have proven a useful and powerful tool. Subsequent architectures such as visual transformers (ViT) and shifting window (SWIN) transformers have proven to be comparable and oftentimes exceed convolutional neural networks (CNNs) in terms of accuracy. LÄS MER

4. 18. Third-party risks in industrial control systems: : A case study in the wind power sector

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Abdullahi Ahmed; [2023]
   Nyckelord :Supply chain security; Wind power; Risk management; Third-party risk management; SCADA-system; Säkerhetshantering för försörjningskedjan; Vindkraft; Riskhantering; Tredjeparts riskhantering; SCADA-system;

   Sammanfattning : This report investigates third-party risk for SCADA systems, using Swedish wind power as an empirical case study. Supervisory, Control, and Data Acquisition (SCADA) systems are used in the wind power industry to monitor and control the operational process. The paper also proposed potential strategies for reducing third-party risks and exposures. LÄS MER

5. 19. Low-power Implementation of Neural Network Extension for RISC-V CPU

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Dario Lo Presti Costantino; [2023]
   Nyckelord :Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

   Sammanfattning : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. LÄS MER

7. 20. Data Pipeline Design for Audit Analytics : Data Ingestion Tools Evaluation & Proof of Concept

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för tillämpad fysik och elektronik

   Författare :Adam Bylund; [2023]
   Nyckelord :;

   Sammanfattning : The amount of data and its importance is increasing for many industries. To fully take advantage of the data it must be easily accessible and understandable for the user. From a software perspective, the applications used for analyzing the data should be developed with this aspect in mind. LÄS MER