This thesis aims to investigate the role of edge computing in a smart nudging system. A smart nudging system has requirements for efficient data processing of personal and context-aware data from heterogeneous sources. Furthermore, a smart nudging system needs to protect and preserve the privacy of data within the system. Edge computing has been proposed as a computing paradigm in a smart nudging ...

The interactions between organelles within living cells have an effect on the health of the organism [1]. One way to study this behavior is to develop algorithms which can automatically detect and track objects in microscopy video data. A large amount of data is needed to train algorithms to identify particular behaviors in subcellular machinery. If the case of segmentation is considered, videos of ...

A solution like Green Transportation Choices with IoT and Smart Nudging (SN) is aiming to resolve urban challenges (e.g., increased traffic, congestion, air pollution, and noise pollution) by influencing people towards environment-friendly decisions in their daily life. The essential aspect of this system is to construct personalized suggestion and positive reinforcement for people to achieve ...

As modern computer hardware becomes more affordable, the application areas of Artificial Intelligence (AI) expand and become more feasible to implement efficiently. This aspect opens up opportunities where AI robots can be used to support and improve many areas of human lives. One such area is education, and this thesis project combines AI and education to evaluate whether the results from that union ...

The University of Tromsø is conducting regular marine seismic acquisition cruises for scientific and educational purposes in the polar regions of the Norwegian Sea and beyond. Leading experts in the field currently employed by the Department of Geology at ui, have found the current seismic visualization tools lacking in several fields. The available seismic software provides a multitude of settings ...

The number of personal computers we use every day has increased significantly the last couple of years, where the common model is a setup where each device has its own storage with separate files and applications. This forces the user to think in a certain way about files and applications, where they are to a degree bound to a device unless the user specifically moves the files, or installs/uninstalls ...

Existing networked filesystems are usually either client/server - allowing storage only on one node - hard to use, or both. The advanced ones also like to use their own on-disk format, complicating migration both ways. Skynet attempts to remedy this. It is a distributed filesystem with master/slave redundancy that is easy to use, relatively safe for your data and can be easily converted to/from ...

Secure multiparty computation (SMC) is a technique that allows multiple parties to jointly compute a function while keeping their inputs private. This technique has gained significant attention due to its potential applications in various fields, including privacy-preserving healthcare, politics and finance. SMC involves a set of protocols that enable parties to achieve secure computation and ...

It is estimated that computers and mobile devices use more than 2% of the total energy consumed. That means a lot of energy is going in powering our cpu,display and gpu. In this paper we are trying to optimize the power consumed by cpu in partitioned global address space environment. Recent research suggests that there is scope in improving cpu power usage by having a better scheduler. Simhadri ...

This dissertation studies composing a super sensor network from the combination of three functional sensor networks; A Sensor data producing network, a sensor data computing network and a sensor controlling network. The target devices are today labeled as large sensor nodes. The communication are based on an IP network using HTTP as the main protocol. Bonjour is used for service discovery, with ...