The increasing use of omics data in epidemiology enables many novel study designs, but also introduces challenges for data analysis. We describe the possibilities for systems epidemiological designs in the Norwegian Women and Cancer (NOWAC) study and show how the complexity of NOWAC enables many beautiful new study designs. We discuss the challenges of implementing designs and analyzing data. Finally, ...

In this thesis we describe how we designed, built, deployed, and improved upon a robust hardware- and software solution, tailor-made to this scientific question. During the course of this project, we created three distinct versions and we have conducted two deployments of the sensor nodes in the Arctic tundra. The node is able to measure CO2 , temperature, and humidity, in addition to monitoring an ...

Enorme mengder informasjon er tilgjengelig på internett for browsing og søk for folk på jakt etter informasjon. En økende del av denne informasjonsmengden er bilder, video og audio. Disse media-typene er ikke så lette å kategorisere og beskrive som en tekstlig ressurs. Vi trenger derfor nye metoder for å takle utfordringene denne fremveksten av nye media gir oss. Digitalt fotografi har hatt ...

Scientific workflows have become a prevailing means of achieving significant scientific advances at an ever-increasing rate. Scheduling mechanisms and approaches are vital to automating these large-scale scientific workflows efficiently. On the other hand, with the advent of cloud computing and its easier availability and lower cost of use, more attention has been paid to the execution and scheduling ...

For the past seven years, the TACOMA project has investigated software support for mobile agents. Several prototypes have been developed, with experiences in distributed applications directing the effort. This paper presents a new mechanism that supports implementing agent applications by creating troops of agents using wrappers. This solution requires little extra support from the agent system, and ...

Satellites generate data through their instruments as they hover in orbit. Satel- lite data is widely used in weather forecasts, environmental science, for military purposes, earth observation and more. The world depend on satellite data, for many purposes.

Nutrition plays a key role in an athlete’s performance, health, and mental well-being. Capturing nutrition data is crucial for analyzing those relations and performing necessary interventions. Using traditional methods to capture long-term nutritional data requires intensive labor, and is prone to errors and biases. Artificial Intelligence (AI) methods can be used to remedy such problems by using ...

Today, virtual machines (VMs) are commonly employed to encapsulate and isolate workloads in the cloud, enabling efficient utilization of hardware resources through the use of statistical multiplexing. Still, there is a significant overhead associated with the use of VMs; each VM instance has to contain a complete OS environment to support the execution of applications that are dependent on the ...

Federated learning promises an elegant solution for learning global models across distributed and privacy-protected datasets. However, challenges related to skewed data distribution, limited computational and communication resources, data poisoning, and free riding clients affect the performance of federated learning. Selection of the best clients for each round of learning is critical in alleviating ...

Using smartphones for peer-to-peer communication over the Internet is difficult without the aid of centralized services. These centralized services, which usually reside in the cloud, are necessary for brokering communication between peers, and all communication must pass through them. A reason for this is that smartphones lack publicly reachable IP addresses. Also, because people carry their ...