Sökning: "Adaptive sampling"
Visar resultat 1 - 5 av 36 uppsatser innehållade orden Adaptive sampling.
1. Construction and Control of a 3-axisAutomated Liquid Sampling UnitUtilizing Hybrid Stepper Motors
Master-uppsats, KTH/Mekatronik och inbyggda styrsystemSammanfattning : High accuracy autonomous positioning systems are becoming increasingly important in today’s chemical industry because they can obtain precise experiment results automatically and hence allow lab technicians to focus on other tasks concurrently. One time consuming process is the process of sampling chemical test results into the correct container, especially when the tests are many and infrequent. LÄS MER
2. Data-driven Interpolation Methods Applied to Antenna System Responses : Implementation of and Benchmarking
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the advances in the telecommunications industry, there is a need to solve the in-band full-duplex (IBFD) problem for antenna systems. One premise for solving the IBFD problem is to have strong isolation between transmitter and receiver antennas in an antenna system. LÄS MER
3. Control system framework for robots based on real-time application. : A proposed framework and dynamic sampling rate algorithm (DSRA) application in a robotic system for efficient data collection.
Kandidat-uppsats, Linnéuniversitetet/Sjöfartshögskolan (SJÖ)Sammanfattning : Industry 4.0 is associated with the technological complexity of designing frameworks for factory automation. In that case, since the robots are used in factory operations, this paper proposes a framework that can be used for (near) real-time applications (RTA) in the robotic system. LÄS MER
4. The Speed of Clouds : Utilizing Adaptive Sampling to Optimize a Real-Time Volumetric Cloud Renderer
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Volumetric clouds are often used in video games in order to improve the realism or graphical quality of the game. However, in order to achieve real-time rendered clouds, optimizations have to be implemented as part of the rendering algorithm. LÄS MER
5. Nowcasting U.S. inflation using mixed frequency real-time data
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Different models were developed with the aim of nowcasting inflation at a daily basis with high frequency variables, while using real-time data to avoid look ahead bias. Both popular machine learning models such as Random Forest and XGBoost, and more traditional models such as UMIDAS and Almon distributed lag models were used to make the nowcasts. LÄS MER