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 12 of 12 for “"intelligent devices"”.
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User-centric framework for device aggregation
As intelligent devices become affordable and wireless infrastructure becomes pervasive, the potential to combine, or aggregate, device functionality to provide a user with a better experience grows. Currently, the user must have a detailed understanding of the physical properties of the devices, …
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Passive Health Monitoring with RadioWaves —In Body and In Home
… and semi-empirical. With the development of intelligent devices such as smartphones, smartwatches, and more cutting-edge devices such as in-body devices and contactless in-home sensors, we are beginning to see a paradigm shift in health care. The new paradigm can be summarized under the …
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Programming abstraction for user-driven architecture in the Internet of Things
The advancement of smart devices and wireless networking have been enabling the Internet of Things to establish a presence in the market. Manufacturers offer different IoT solutions for a vast range of IoT deployments, starting from home automation to building smart cities. Despite the immense …
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Blind Synchronization and Detection of Nyquist Pulse Shaped QAM Signals
… radio applications. Cognitive radios are intelligent devices which can adapt themselves according to its user and its environment, i.e. they are aware of the user and the environment. Another importance of cognitive radios is they can detect the incoming signal and demodulate it and also …
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Large wind farm aggregation and model validation
… voltage ride‐through of a large wind farm using intelligent devices to control the impact of a short circuit? The study is conducted using the General Electric GE doubly fed induction generator wind turbine modeled in the PowerWorld Simulator. Through this research, we have shown that: • A large …
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Power efficient machine learning-based hardware architectures for biomedical applications
… future of critical health diagnosis will involve intelligent and smart devices that are low-cost, wearable, and lightweight, requiring low-power, energy-efficient hardware platforms. Various machine learning models, such as deep learning architectures, have been employed to design intelligent …
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Features Interaction Detection and Resolution in Smart home systems Using Agent-Based Negotiation Approach
… have to be equipped with sensors, actuators and intelligent devices and appliances, as well as connectivity and control mechanisms. A typical SHS comprises heterogeneous services and appliances that are designed by many different developers and which may meet for the first time in the home …
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Robots as Social Catalysts: A Multidisciplinary Framework for Designing Embodied Social Agents that Foster Long-term Human Collaboration and Connection
As artificial intelligence (AI) devices become more common in our homes, concerns about their potential harm to human-human connections arise accordingly. This dissertation aspires to study the responsible design of embodied agents as social catalysts to purposefully enhance human-human …
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A study into scalable transport networks for IoT deployment
… of Things (IoT) has impacted the way we live. Intelligent (smart) devices which can act autonomously has resulted in new applications for example industrial automation, smart healthcare systems, autonomous transportation to name just a few. These applications have dramatically improved the way …
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Unsupervised Learning Algorithm for Noise Suppression and Speech Enhancement Applications
<p>Smart and intelligent devices are being integrated more and more into day-to-day life to perform a multitude of tasks. These tasks include, but are not limited to, job automation, smart utility management, etc., with the aim to improve quality of life and to make normal day-to-day chores as …
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GNN-Enhanced Hierarchical Federated Learning in Device-to-Device Networks
The proliferation of intelligent devices and advanced wireless networks has resulted in an explosive growth of data generated at the network edge, creating new opportunities for data-driven services while posing fundamental challenges in privacy preservation, communication efficiency, and …
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Cross-layer methods for energy-efficient inference using in-memory architectures
In the near future, we will be surrounded by intelligent devices that transform the way we interact with the world. These devices need to acquire and process data to derive actions and interpretations in order to automate/monitor many tasks without human intervention. Such tasks require the …