Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 429 for “"Sensor Data"”.
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Multi-Sensor Data Fusion
… such as images, videos, audio signals, sensor data, etc., can be collected by many devices. The idea of multi-sensor data fusion is to combine the data coming from different sensors to provide more accurate information than that a single sensor alone. Sensors have been proposed to …
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Detecting Inference Attacks Involving Sensor Data
… Nevertheless, according to the GDPR (General Data Protection Regulation), the organizations have to protect collected data. Access Control (AC) mechanisms are traditionally used to secure information systems against unauthorized access to sensitive data. The increased availability of personal …
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Bridging Sensor Data Streams and Human Knowledge
Generating useful knowledge out of personal big data in form of sensor streams is a difficult task that presents multiple challenges due to the intrinsic characteristics of these type of data, namely their volume, velocity, variety and noisiness. This problem is a well-known long standing problem …
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Risk-Aware Planning for Sensor Data Collection
… to support and augment human efforts via sensor data collection. In order to be viable, these collectives must be resilient to the risk and uncertainty of operating in real-world environments. Previous work in multi-agent planning has avoided planning for the loss of agents in environments …
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Recognition of sleep stages from sensor data
… the body, the better it is. The hydraulic bed sensor developed by university of Missouri (MUHBS) is such a sensor. It is placed under the mattress and hence, it has no contact with the body. The ultimate goal of this work is to recognize sleep stages using this non-invasive bed sensor. Sleep …
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Multi-sensor Data Fusion for Robotics Applications
… as well as increasingly miniaturized and precise sensors, Robotics is experiencing a period of significant development. New technology is making robots increasingly more autonomous. Data from different sensors can be fused and processed in real time by on-board processing units in order to make …
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Wireless sensor data transfer using bluetooth technology
… language. This application will collect sensor data (4-20mA signals as the standard analog inputs and 0-5V as the digital inputs) from the serial port of the Etrax100LX developer board, save them to a file on the developer board and make this data available for remote access. The idea …
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A privacy-preserving personal sensor data ecosystem
Despite the ubiquity of passively-collected sensor data (primarily attained via smartphones), there does not currently exist a comprehensive system for authorizing the collection of such data, collecting, storing, analyzing, and visualizing it in a manner that preserves the privacy of the user …
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REAL-TIME THREAT ASSESSMENT WITH IMPERFECT SENSOR DATA
The Department of Defense uses a variety of sensors every day to collect valuable data and information about the adversaries of the United States and its allies. The sensors, however, do not always observe the ground truth because of technological limitations or human errors. This thesis presents a …
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Workforce fatigue prediction via wearable sensor data analytics
… a custom MATLAB application supporting wearable data streaming, manual entry of anthropometric and task-related data, and output of endurance metrics. This solution shows potential for proactive fatigue forecasting in real-time and fills important gaps in the field. Preliminary testing with a …
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Unsupervised discovery of activity primitives from multivariate sensor data
… pattern discovery in real-valued, multivariate sensor data. Several algorithms were developed, and subsequent evaluation demonstrates that they can efficiently and accurately discover unknown recurring patterns in time series data taken from many different domains. Different data representations …
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Truck Activity Pattern Classification Using Anonymous Mobile Sensor Data
… flow. This is a challenge since freight movement data available to transportation agencies is typically void of commodity and industry information, factors that tie freight movements to underlying economic conditions. With recent advances in the resolution and availability of big data from Global …
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Measurement and digitization of phase angle modulated sensor data
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Machine learning to model health with multimodal mobile sensor data
… wearables has led to the accumulation of rich datasets, which could aid the understanding of behavior and health in unprecedented detail. At the same time, machine learning and specifically deep learning have reached impressive performance in a variety of prediction tasks, but their use on …
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SensAnalysis: A Big Data Platform for Vibration-Sensor Data Analysis
… as external activities. The recorded vibration data can be used to develop real-time applications for monitoring the health of the building or detecting human activity in the building. However, the lack of infrastructure to handle the massive scale of the data, and the steep learning curve of …
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Production System Efficiency Optimization Using Hybrid AI Solution and Sensor Data
… optimizing production efficiency by combining Data Envelopment Analysis (DEA), Machine Learning (ML)-based simulation and Genetic Algorithms (GA). DEA is used to identify the efficient frontier of the production system based on historical or synthetic data. This data is used to train an ML …
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Neural Network Fusion of Multi-Modal Sensor Data For Autonomous Surface Vessels
… due to lacking ASV sensing platforms and public datasets for ASV-based perception research. To that end, this dissertation demonstrates the design of a synchronized multi-modal sensing platform for ASVs utilizing GPS/INS, LiDAR, LWIR cameras, HDR camera, and high-resolution cameras. The sensing …
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User-centered design of an integrated sensor data interface for remote care coordination
… the connection of health professionals to client sensor data requires the development of new tools for combining and viewing data. Though Internet-of-Things technologies have become ubiquitous, and opportunities abound for their use by health professionals to understand client or patient …
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A causal perspective on model robustness: case studies in health and sensor data
… causal model (SCM) which generates the observed data.The SCM allows these different types of robustness issues to be viewed in a unifying way. Using this view, this work furthers the connection between prediction robustness and the assumed structural causal model by suggesting that optimising for …
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