Essays about: "Adaptiv sampling"
Showing result 1 - 5 of 10 essays containing the words Adaptiv sampling.
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1. Construction and Control of a 3-axisAutomated Liquid Sampling UnitUtilizing Hybrid Stepper Motors
University essay from KTH/Mekatronik och inbyggda styrsystemAbstract : 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. READ MORE
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2. Data-driven Interpolation Methods Applied to Antenna System Responses : Implementation of and Benchmarking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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3. The Speed of Clouds : Utilizing Adaptive Sampling to Optimize a Real-Time Volumetric Cloud Renderer
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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4. Traction Adaptive Motion Planning for Autonomous Racing
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Autonomous driving technology is continuously evolving at an accelerated pace. The road environment is always uncertain, which requires an evasive manoeuvre that an autonomous vehicle can take. READ MORE
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5. A Study of Adaptive Random Features Models in Machine Learning based on Metropolis Sampling
University essay from KTH/Numerisk analys, NAAbstract : Artificial neural network (ANN) is a machine learning approach where parameters, i.e., frequency parameters and amplitude parameters, are learnt during the training process. Random features model is a special case of ANN that the structure of random features model is as same as ANN’s but the parameters’ learning processes are different. READ MORE