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Energy Sharing in Multi-Residential Households +	Sharing of energy amongst households, appartment buildings and commercial buildings  +
Energy consumption in wireless sensor networks +	Wireless Sensor Network (WSN) is a promising technology and due to its multitude applications such as remote monitoring, personal medical monitoring and home automation, it has become one of the most interesting tasks in the recent years. A WSN consists of many sensor nodes which sense physical phenomena or collect data from an environment. Depending on a predefined application of a network, sensor nodes can be located in fixed places or distributed randomly over a large geographical area. Their communication with each other occurs wireless and they share a channel for signal transmission. Some parameters such as position, distance, power consumption for each node and communication technology between sensor nodes have inevitable impact over the network’s performance. In spite of a tremendous development, there are still limitations that WSNs suffer. Some challenges like designing a low power network, data secu- rity and architecture of network have taken the most attention of researchers in the last years. The energy consumption is one of the most common problems in the wireless sensor network that does not appear in more traditional wired sensor network. Each sensor node is battery operated and it makes a wireless sensor network highly depended on each node battery. It is very important to predict the lifetime of a wireless sensor network before network installation. Our work will be based on analysis of a communication protocol (ZigBee) when the network forms Star and Mesh topologies. The monitor of greenhouse condition is the main concept in our work. The temperature will be measured with sensor nodes, and the sensed data will sent to a remote center. We are looking for the best and most suitable topology in term of low power consumption for this scenario.  +
Environments for Mobile and Wireless Communications (C1-C3) +	The lecture will provide a short overview over propagation models in several environments, e.g. rural and indoor. Typical models are discussed, and references given to future work. <br /> The second part of the lecture focusses on the development of your own examples, where a short presentation is expected.  +
Establish the AI infrastructure for analysis of the electricity data (3/7) +	Future Homes have the opportunity to be adaptive to the quality of the electricity grid. By monitoring the energy consumption on fuse-level every 10 seconds, one can generate energy profiles of private homes. Current regulations suggest a reading of power values 1/hour, or in maximum every 15 min. Given a high-frequency reading of power consumption (1/10s, 1/min) might give an opportunity to introduce new services. Given the size of the work, several theses can be performed on the topic: # Establish the low-power monitoring infrastructure in the home (Raspberry Pi/Arduino and ModBus to read from Power Taggs) # Create the public source database for energy consumption, combining high-resolution energy data with 3rd party information such as weather data # Establish the AI infrastructure for analysis of the electricity data # Monitoring the home energy distribution - Feature extraction through AI # Potential of contributions from private homes to energy stability # Wireless control systems for home appliances to support the energy transition # Security and privacy assessment of wireless in-house control systems for energy appliances The assessment will be based on high-frequency consumption data from actual smart meters and power taggs by fuse level, as well as modelling of services.  +
Establish the low-power monitoring infrastructure in the home (1/7) +	Future Homes have the opportunity to be adaptive to the quality of the electricity grid. By monitoring the energy consumption on fuse-level every 10 seconds, one can generate energy profiles of private homes. Current regulations suggest a reading of power values 1/hour, or in maximum every 15 min. Given a high-frequency reading of power consumption (1/10s, 1/min) might give an opportunity to introduce new services. Given the size of the work, several theses can be performed on the topic: # Establish the low-power monitoring infrastructure in the home (Raspberry Pi/Arduino and ModBus to read from Power Taggs) # Create the public source database for energy consumption, combining high-resolution energy data with 3rd party information such as weather data # Establish the AI infrastructure for analysis of the electricity data # Monitoring the home energy distribution - Feature extraction through AI # Potential of contributions from private homes to energy stability # Wireless control systems for home appliances to support the energy transition # Security and privacy assessment of wireless in-house control systems for energy appliances The assessment will be based on high-frequency consumption data from actual smart meters and power taggs by fuse level, as well as modelling of services.  +
Evaluate COST 231 WI for handover +	having implemented COST 231 WI for the realistic environment in Bergen, we'll discuss handover issues * might touch into indoor propagation  +
Evaluation and Improvement of technologies for CCTV +	Many industrial sensor networks use real-time data transmission over public networks (GPRS, the Internet, satellites) or private radio links or cables. These links are in principle possible to listen in to or monitor. With increasing awareness of security risks for information theft or distortion in sensor systems it is suspected that customers buying sensor network services will in the near future demand security as well as reliability. Embedded systems often have limitations regarding data processing and internal memory. In addition there are typically limitations in data rates of the transmission medium. The thesis will investigate what demands to security exists (if any) from governmental organs (Norwegian, European, globally) and what typical demands central actors in Norwegian industries demand. Coming trends for the future will also be evaluated. In addition the thesis will evaluate different possibilities for implementing security on already existing embedded sensor systems. This thesis will in the end be able to answer what might be necessary functionality to secure data information for data loggers that deliver sensor data to customers using open communication channels.  +
Evaluation of Protection/Restoration Methods for Ethernet Layer 2 Networks +	To avoid packets being forwarded in infinite loops in Ethernet spanning tree prototcls are used. The family of thesee protocols comprises Spanning Tree Protocol, Rapid Spanning Tree Protocol and Multiple Spanning Tree. The last to arrive in the family is the Multiple Spanning Tree Protocol. It is designed to provide per VLAN routing in Ethernet. In this thesis the implementation of MSTP is described. Traffic engineering using MSTP and the utilization are described  +
Evaluation of the Component`s Interconnection Impact on the System Security +	Previous work has established a Multi-Metrics (MM) Method for the analysis of measurable security and privacy. This MM approach is used in a.o. [[UNIK4750]], and described more in [[IoTSec:T1.2]]. Some challenges of the method are related to the choice of metrics describing security functionality and their impact of the system. A further potential weakness is the dependency of system components, called "interconnection". Interconnection between the components for a given system has an impact on the security level of this system. In this thesis, the student will investigated and apply a proposed solution for the evaluation of this impact and the integration of it into system`s security level. For applying the proposed solution the student will develop new functionalities for already initiated framework.  +
Evaluation of the usability of low-cost sensors for public air quality information +	The Norwegian Institute for Air Pollution monitoring has initiated the project CITI-SENSE-MOB on Mobile Air Pollution measurements. Mobile sensor platforms are going to be installed on buses, cars and bicycles to achieve a wider distribution of measurements, as compared to the limited number of fixed stations. The goal of this thesis is to establish the semantic framework for sensor integration on a global scale. GEOS, the framework for creating a community-driven interoperable geoscience-wide geoinformatics infrastructure, is seen as one of the key candidates for sensor integration and sensor fusion. The expected outcome of the thesis is an integration framework for mobile sensor data, based on semantic technologies. A semantic rule system is envisaged to control the reliability of the sensor system, either as a stand-alone evaluation on the sensor platform, or as a fusion of sensor. Such a fusion might consist of mobile data together with sensor data from other sources, e.g. the fixed air quality stations in order to establish models for reliability.  +
Exam 2013 +	Oral Exam  +
Exam v12 +	oral exam  +
Examen UNIK4700h12 +	students who like to have an oral examen are welcome to take the examen. Everyone will have a time-slot to discuss the final grade with Josef  +
Examen UNIK4700h16 +	students who like to have an oral examen are welcome to take the examen. Everyone will have a time-slot to discuss the final grade with Josef  +
ExcelSmart +	The overall aim of the DIKU funded (2017-2022) EXCEL SMART- Exceeding Learning through Strategic Mobility and Academic Partnership - NORPART Project is to enhance the quality of higher education in Ethiopia and expand and strengthen the academic cooperation between Jimma University (JU), St. Paul’s Hospital Millennium Medical College (SPHMMC) and University of Oslo (UiO). Mobility is bidirectional and strategically driven by each institutions research and education development agenda and funds master, PhD candidates and staff mobility. Through strategic mobility and mentoring, we will ensure increased quality and internationalization of the new PhD programs at JU and SPHMMC. As most of the Ethiopian PhD students are employed public staff, the mobility is human resource training.  +
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Fast and Hierachical MobileIP, Electroic nose +	Objective: * Learn about upcoming integrated sensors "electronic nose" * Introduction to Fast Mobile IP (FMIP) and Hierachical MobileIP (HMIP)  +
Femto or Small Cells +	The objective of this lecture is to provide an overview over the challenges of indoor users at the "edge" of the network. The lecture will * illustrate how 3G usage ruins the coverage * what Femto Cells (or Small Cells) are * show simulations of the network traffic based on FemtoCells  +
FreeSecEDU +	Create an Horizon 2020 application for Free Security Education. - The envisaged objectives did not meet the call objectives, thus the project was terminated.  +
FreeSecEDU UiO +	Speech recognition on the mobile device * other stuff  +
From 1G to 5G and 5G Security +	* Presentation of "From 1G to 5G" * Presentation of "5G Security"  +
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GravidPluss +	Health information for pregnant women with diabetes  +
Green Island possibilities with PV integration and energy storage +	African perspective on grean island possibilities, taking Djerba as an example  +
Grid monitoring, control and stability in the transition period to renewable energy +	1) understand the market regulations and dynamics 2) desribe the impact of renewable energy integrated into the electrical grid 3) Assessment of actors with potential for energy stabilisation  +
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H14-Invers Mobile Operator +	provide details on your scenario  +
H14-Scenario for simulations +	Present your scenario, and discuss outcomes  +

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