Essays about: "Sensordata"
Showing result 1 - 5 of 105 essays containing the word Sensordata.
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1. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. READ MORE
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2. Traffic State Estimation on Swedish Highways : Model Comparison using Multisource Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Due to the escalating demand for traffic information and management, the significance of traffic state estimation, which involves the assessment of traffic conditions on road segments with limited measurement data, is increasing. Two primary estimation methods are model-driven and data-driven. READ MORE
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3. Outlier Robustness in Server-Assisted Collaborative SLAM : Evaluating Outlier Impact and Improving Robustness
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In order to be able to perform many tasks, autonomous devices need to understand their environment and know where they are in this environment. Simultaneous Localisation and Mapping (SLAM) is a solution to this problem. READ MORE
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4. Human Activity Recognition Models and Step Counter With Smartphone Sensor Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this time of technology, with the availability of wearable sensors and copiousamounts of cheap data, new uses of machine learning emerge. Tasks that were previouslyheld-back by a lack of data and computation power are today more feasible and useful thanever. Human activity recognition (HAR) is one such task. READ MORE
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5. Detecting Successful Throws
University essay from Örebro universitet/Institutionen för naturvetenskap och teknikAbstract : This project aims to create a robot system that can accurately figure out if the throws are successful. This can help make various industrial tasks more efficient. The system uses implemented methods to process data from fisheye camera data and depth sensor data, to check the quality of the throws. READ MORE