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 32 for “"Mobile sensing"”.
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Coverage problems in mobile sensing
… of four actions across the network: measurement (sensing), communication, motion and computation. The term coverage is applied to the central question of how well a sensor-network senses some phenomenon to make inferences. More formally, a coverage problem involves finding an arrangement of …
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The two faces of mobile sensing
The recent popularization of mobile devices equipped with high-performance sensors has given rise to the fast development of mobile sensing technology. Mobile sensing applications analyze the signals generated by human activities and environment changes, and thus get a better understanding of the …
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Modal Identification Using Smart Mobile Sensing Units
… methodology for Modal Identification using Mobile Sensors (MIMS). This methodology estimates mode shapes with high spatial resolution. The scope of this research is in the formulation of the methodology and the validation in a laboratory environment. The methodology was formulated for …
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Towards Continuous Mobile Sensing for Remote COPD Monitoring
… thesis outlines a system that uses wearable and mobile devices to passively sense and monitor patients with COPD. Mobile and wearable devices contain a myriad of sensors and have been used in applications ranging from earthquake detection to flight control for drones. To make these devices …
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Active Information Gathering Using Distributed Mobile Sensing Networks
… problem, which is aimed at maximizing the total sensing capability of a sensing network over the entire mission space. Many applications of sensing networks benefit from utilizing distributed manners, in which cases networks are able to be scaled to large swarms and better tolerate failures of …
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Privacy preservation and auditing for ubiquitous mobile sensing applications and services
The recent proliferation of mobile phones, with their many associated sensors, has opened the door to an entirely new range of insights and applications with a host of accompanying privacy concerns. In this thesis, we explore techniques for privacy preservation, transparency, and auditing for …
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Design and analysis of mobile sensing systems : an environmental data collection swarm
Recent advances in small-scale portable computing have lead to an explosion in swarming as a viable method to approach large-scale data problems in the commercial, scientific, and defense sectors. This increased attention to large-scale swarm robotics has lead to an increase in swarm intelligence …
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Smart-phone-based electrochemical sensor for environmental applications
We demonstrated a mobile phone sensing platform, MoboSens, with integrated plug-n-play microelectronic ionic sensor that performs electrochemical measurement by using audio jack of a smart phone. This platform was used to measure nitrate concentration using a few microliter liquid samples on field …
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Mobile sensor systems for field estimation and "hot spot" identification
Robust, low-cost mobile sensing enables effective monitoring and management of urban environment and infrastructure which contributes towards a sustainable future. While mobile sensor systems have attracted significant attention in recent years, a large scale deployment for urban infrastructure …
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Self-supervised learning for data-efficient human activity recognition
Over the last decade, smart mobile devices have become ubiquitous, bringing about significant lifestyle changes worldwide. Mobile sensing, which involves obtaining and analysing data from mobile devices and the environment, has emerged as an active research area. It captures the unique opportunity …
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Computer visión and artificial intelligence for yield components' assessment in digital viticulture
… RGB vine images were acquired on-the-go using a mobile sensing platform to obtain a compactness estimation of the grapevine clusters. A computer vision algorithm was developed to extract cluster morphology features from the images, and a machine learning model used those features to assess the …
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FALCON: Fine-Time-Measurement to Approach, Localize, and Track RF Targets via Drone Networks
We present FALCON, a novel mobile sensing system to approach, localize, and track RF targets via drone networks. We leverage existing Wi-Fi technology and its recent Fine Time Measurement (FTM) protocol to realize the first FTM sensing drones that can dynamically range targets in a mission. FALCON …
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Incorporating traffic patterns to improve delivery performance
… company and in coordination with the CarTel mobile sensing data project at Massachusetts Institute of Technology (MIT).
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Vending the city : mapping the policy, policing and positioning of street vending in New York City
… by using a mix of administrative data, mobile sensing, GIS mapping and qualitative methods to uncover informality's relationship with the state and the larger urban fabric in New York City. Through visualization and empirical analysis of the enforcement landscape vis-à-vis socioeconomic …
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A Novel Method to Locate Targets Using Active Vision and Robotic Inertial Navigation Data
Unmanned vehicles are increasingly being used for mobile sensing missions. These missions can range from target acquisition to chemical and biological sensing. The reason why these vehicles are increasingly being used is because they can carry many different types of sensors and can function as a …
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Application-Aware Scheduling Architectures for Mobile Systems
Architects of mobile systems have long optimized schedulers for platform-level objectives, such as system throughput or operating cost. However, these objectives could be at odds with performance indicators that applications or users of the platform might care about. This thesis proposes two-tiered …
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Location reliability and gamification mechanisms for mobile crowd sensing
People-centric sensing with smart phones can be used for large scale sensing of the physical world by leveraging the sensors on the phones. This new type of sensing can be a scalable and cost-effective alternative to deploying static wireless sensor networks for dense sensing coverage across large …
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Vision-based robust structural dynamic monitoring and modal identification using stationary and drone-based imaging systems.
… noise, and platform-induced disturbances in mobile sensing platform systems. To address these challenges, this thesis proposes innovative non-contact, vision-based SHM methodologies for the extraction of dynamic characteristics and validates experimentally on laboratory and field conditions …
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Community-oriented architecture for smart cities
… widespread use of smartphone devices, a surge in mobile sensing, progress in wireless communication and networking techniques, as well as the development of the Internet of Things (IoT) and cloud computing, mobile-based community sensing has turned into a leading paradigm for pervasive sensing. …
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Modeling User Transportation Patterns Using Mobile Devices
Participatory sensing frameworks use humans and their computing devices as a large mobile sensing network. Dramatic accessibility and affordability have turned mobile devices (smartphone and tablet computers) into the most popular computational machines in the world, exceeding laptops. By the end …
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