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 9 of 9 for “"Sensor analysis"”.
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Cloud based sensor analysis for customer-specific residual value estimation for end-of-life product recovery
… a predictive model that uses data obtained from sensors which is stored on the cloud, throughout a product's lifecycle. This data is used to more accurately estimate the value at the EOL. The model recommends the EOL solution for an individual product based on the quality level and demand for …
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Smartphone-based robot control for localisation
… it’s more powerful and equipped with several sensors that are useful for robots. The project uses Android application as well as Arduino microcontroller to locate and control the robot via DTMF tone from distance. Magnetometer and accelerometer sensor is used as input to trigger mobile robot …
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The use of cyclodextrin template-based metal oxide nanomaterials in the development of electrochemical sensors for phenolic endocrine disruptor compounds
… are confirmed further by XRD. The ATR-FTIR analysis confirms inclusion complex between β-CD and nanoparticles. The nanoparticles synthesized were used to develop an electrochemical sensor for phenolic endocrine disruptors by modifying the surface area of glassy carbon electrode (GCE). …
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Context detection and abstraction in smart environments
… profile and preferences, network information, sensor analysis; usually context-awareness relies on the ability of computing devices to interact with the physical world, i.e. with the natural and artificial objects hosted within the "environment”. Ideally, context-aware applications should not …
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Design and development of electrochemical gas sensors
Historically, electrochemical gas sensors had suffered from several drawbacks such as poor temperature coefficient, leakage, susceptibility to shock and vibration and orientation sensitivity, which led to poor field reliability. In the present work these problems have largely been overcome by …
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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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Evolving and Proactive Risk Modelling in Underground Working Environments
… detection and inadequate mitigation. Fragmented sensor data integration and the opaque nature of advanced models further hinder trust and decision-making. These limitations contribute to severe consequences, such as methane explosions, ventilation failures, and operational disruptions, …
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Studio di fenomeni franosi a diversa scala, mediante tecniche multi-sensore da remoto.
Questa ricerca dottorale nel campo delle geo-scienze esplora l’utilizzo di tecniche di telerilevamento quali, la fotogrammetria aerea, la termografia ad infrarossi e l’interferometria satellitare (InSAR), per lo studio e la gestione dei rischi associati alle frane, attraverso un approccio …
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Development and Evaluation of Integrated Sensor System for Observing Particulate Matter Concentration
… the development and evaluation of an integrated sensor system for observing particulate matter concentration in the environment. The study was motivated by the need for a practical and flexible monitoring platform capable of supporting localized air-quality observation in settings influenced by …