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 16 of 16 for “"Device Heterogeneity"”.
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Integrating graphene Hall sensors with co-designed silicon circuits for high-throughput magnetic biosensing
The limitations of silicon electronic devices increasingly constrain the performance of silicon integrated circuits (ICs) and their use in emerging applications. Next-generation devices with exceptional performance and new functionalities have been realized using two-dimensional materials such as …
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Performance evaluation of various allocation methods in a heterogeneous disk array architecture
… (HDA) architecture is proposed, which allows device heterogeneity as well as RAID level heterogeneity. In other words, various disks of different types can be incorporated in a single HDA and multiple RAID schemes can coexist in the same array. The goal of this architecture is to utilize the …
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Dynamic multi-target user interface design for grid based M-Services
Device heterogeneity and the diversity in user preferences are challenges, which must be addressed in order to achieve effective information communication in a mobile computing environment. Many model based approaches for the generation of user interfaces have been proposed. These approaches were …
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The Design and Implementation of a Context -Aware File System for Ubiquitous Computing Applications
… local environment, and how the system adapts to device heterogeneity. We describe several applications that we have developed within our ubiquitous computing infrastructure and show how they leverage the novel features of our file system to simplify their complexity. The system is evaluated as …
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SpiderNet: A Quality -Aware Service Composition Middleware
… to address the challenges of user mobility, device heterogeneity, and resource constraints in ubiquitous computing environments. We evaluate and validate the SpiderNet system both analytically and experimentally. We have conducted extensive experiments using both large-scale simulations and …
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A security risk assessment framework for IoT systems
… The seamless integration of connected devices, from household to industrial equipment, has brought about a new era of interconnectedness. However, this rapid expansion of the IoT also introduces new security concerns that need to be assessed. Assessing the security risks associated with …
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REFT: Resource-Efficient Federated Training Framework for Heterogeneous and Resource-Constrained Environments
… the user's local data to reside on their device. Instead of having users send their personal data to a server where the model resides, FL flips the paradigm and brings the model to the user's device for training. Existing works share model parameters or use distillation principles to …
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Indoor localization using place and motion signatures
… for long-term, large-scale positioning of mobile devices in practice. This thesis describes two approaches to the indoor localization problem, which we formulate as discovering user locations using place and motion signatures. The first approach, organic indoor localization, combines the idea of …
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Scheduling and Power Control in Sustainable Federated Learning over Wireless Networks
… FL operates by enabling multiple local devices to jointly train an ML model through the iterative exchange of model parameters among the devices and a central parameter server (PS). Specifically, each local device performs local training on its own dataset for multiple rounds and …
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SensorsConnect: World Wide Web for Internet of Things
… Things (IoT) has led to a surge in smart sensing devices connected to the Internet. While IoT enables machines, embedded systems, and appliances to access the Internet, they do not interact with it as humans do through the World Wide Web (WWW). Unlike humans, IoT devices lack a unified framework …
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Efficient cross-silo federated learning using a computing power-aware scheduler
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Efficient cross-silo federated learning using a computing power-aware scheduler
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms
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Distributed Machine Learning in Heterogeneous Edge Networks
The development of edge devices (e.g., smartphones, IoT sensors, and wearables) has led to a surge in data generated at the network's edge. Meanwhile, the complexity of machine learning models has increased significantly, with state-of-the-art models for tasks like natural language processing and …
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Studies of disk arrays tolerating two disk failures and a proposal for a heterogeneous disk array
… volume of data being transmitted, and provides adevice-independent comparison of the efficiency of these RAID schemes. Based on this cost model, the maximum throughput of a RAID scheme can be obtained given detailed disk characteristic and RAID configuration. Utilizing M/G/1 queuing model and …
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Distributed Wireless Resource Management in the Internet of Things
… a plethora of heterogeneous wireless devices. To support the connectivity across a massive-scale IoT, the scarce wireless communication resources must be appropriately allocated among the IoT devices, while considering the technical challenges that arise from the unique properties of …
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Conserve and Protect Resources in Software-Defined Networking via the Traffic Engineering Approach
… and a control plane. To assist management of devices and data flows, a network also has an independent monitoring plane. These coexisting network planes have various types of resources, such as bandwidth utilized to transmit monitoring data, energy spent to power data forwarding devices and …