Rune Hylsberg Jacobsen

• PhD
• Professor (Associate) at Aarhus University

The availability of low-cost unmanned aerial vehicles (UAVs), or drones, has made their organisation in fleets more feasible. The required coordination for managing these fleets comes with an increased complexity. When used for long-durability, autonomous inspection missions, it is necessary to recharge the drones due to their limited battery capac...

Privacy-preserving smart meter data collection and analysis are critical for optimizing smart grid environments without compromising privacy. Using homomorphic encryption techniques, smart meters can encrypt collected data to ensure confidentiality, and other untrusted nodes can further compute over the encrypted data without having to recover the...

Inspection of critical infrastructure with drones is experiencing an increasing uptake in the industry driven by a demand for reduced cost, time, and risk for inspectors. Early deployments of drone inspection services involve manual drone operations with a pilot and do not obtain the technological benefits concerning autonomy, coordination, and coo...

Transport infrastructures require continuous and efficient inspection techniques to ensure their safety. Drones are one of the latest technologies that can be used to get a deep picture of the infrastructure. However, inspecting large infrastructures such as railways and bridges demand smart drone solutions that operate cooperatively and recharge a...

Information and communications technology (ICT) within the agricultural sector is characterized by a widespread use of proprietary data formats, a strong lack of interoperability standards, and a tight connection to specific hardware implementations resulting from vendor lock-in. This partly explains why ICT has not yet had its full impact within t...

Data-driven agriculture and Internet of Farming (IoF) require reliable communication systems. Nowadays, only some of the key use cases demanded by the agricultural industry verticals get support from multiple state of the art wireless technologies such as 4G, Wi-Fi, or Low Power Wide Area Network (LPWAN) technologies, combined with satellite and cl...

The communication system is a critical part of the system design for the autonomous UAV. It has to address different considerations, including efficiency, reliability and mobility of the UAV. In addition, a multi-UAV system requires a communication system to assist information sharing, task allocation and collaboration in a team of UAVs. In this pa...

The communication system is a critical part of the system design for the autonomous Unmanned Aerial Vehicle (UAV). It has to address different considerations, including efficiency, reliability and mobility of the UAV. In addition, a multi-UAV system requires a communication system to assist information sharing, task allocation and collaboration in...

Unmanned Aerial Vehicles (UAVs) commonly named drones are gaining interest for infrastructure inspection due to their ability to automize and monitor large areas more securely at a lower cost. Autonomous inspection and path planning are essential capabilities for the drone's autonomous flight. In this paper, we propose a novel inspection path plann...

Low Earth Orbit (LEO) satellite constellations are envisioned as a complementary or integrated part of 5G and future 6G networks for broadband or massive access, given their capabilities of full Earth coverage in inaccessible or very isolated environments. Although the queuing and end-to-end delays of such networks have been analyzed for channels w...

The recent introduction of Ultra-Reliable Low-Latency Communications (URLLC) in 5th Generation (5G) networks is expected to introduce a new set of commercial services with stringent communications requirements such as 10 millisecond delay and 99.99% reliability. Cellular Vehicle-to-Everything (C-V2X) based High Density Platooning (HDPL) technology...

The gamma-ray burst monitor (GBM) on the Fermi Gamma-Ray Space Telescope, for the first time, detected a short gamma ray burst (SGRB) signal that accompanies a gravitational wave signal GW170817 in 2017. The detection and localization of the gravitational wave and gamma-ray source led all other space- and ground-based observatories to measure its k...

Endurance of unmanned aerial vehicles (UAVs) in operation is a critical aspect of usability and serviceability; therefore, the energy efficiency must carefully be considered in the UAV system design. In spite of their high potential, electric-powered rotating-wing multi-copters, which are drones, have even scarcer energy resources. Thus, extraordin...

Unmanned aerial vehicles (UAV) are being used increasingly more within military campaigns, commercial services, and industrial projects. Though using UAVs on such missions is not a new phenomenon anymore, forming them into autonomous groups (called swarms) to accomplish the missions more efficiently is still a hot topic. To implement smart algorith...

The Gamma-Ray Burst Monitor (GBM) on the {\it Fermi Gamma-Ray Space Telescope}, for the first time, detected a short gamma ray burst (SGRB) signal that accompanies a gravitational wave signal GW170817 in 2017. The detection and localization of the gravitational wave and gamma-ray source led all other space- and ground-based observatories to measure...

The increasing demand for applications of the Internet of Things (IoT) has produced the emergence of use cases with challenging scenarios for cellular access. In such use cases, Low Earth Orbit (LEO) small satellite constellations provide global coverage for regions isolated from terrestrial infrastructure, but pose difficulties for routing given t...

Given the rise of Machine Learning (ML) applications using sensitive private data, we present an implementation of Fully Homomorphic Encryption (FHE) with Convolutional Neural Networks (CNNs) for privacy-preserving Deep Learning (DL). This permits to utilize DL image recognition algorithms without compromising personal data of served customers, e.g...

The system design of autonomous Unmanned Aerial Vehicles (UAVs) poses several challenges for the wireless communication concerning performance, resiliency, and scalability. The UAV system is typically restricted by flying time limitations due to energy constraints and can benefit from coordination of tasks among UAVs. It may further profit from coo...

Reliable detection of clouds is a critical pre-processing step in optical satellite based remote sensing. Currently, most methods are based on classifying invidual pixels from their spectral signatures, therefore they do not incorporate the spatial patterns. This often leads to misclassifications of highly reflective surfaces, such as human made st...

Given the increasing demand of small satellite-based services for the Internet of Things (IoT), we study the potential benefits of employing Random Linear Network Coding (RLNC) as a transport layer scheme in nanosatellite constellations for IoT. We present a timing analysis of the end-to-end transmission process for the Reliable Datagram Protocol (...

Internet-based networks face technical challenges establishing efficient communications infrastructure while keeping inter-application message exchange secure. Group communications based on transport or network layer security is a way to reduce the number of required transmissions for common message exchanges. In this work, we study secure multicas...

MegaMan is an ongoing research project (2017-2019) investigating the possibility of reusing 3GPP 5G management interfaces for satellite mega-constellations. During the coming decade, a large number of mega-constellations are expected be launched for providing global internet, IoT, or special services e.g. for military or maritime purposes. With a h...

This paper introduces a scalable framework to coordinate the net load scheduling, sharing, and matching in a neighborhood of residential prosumers connected to the grid. As the prosumers are equipped with smart appliances, photovoltaic panels, and battery energy storage systems, they take advantage of their consumption, generation, and storage flex...

Blockchain has proved itself to be tamper resistant and secure. It is increasingly getting attention from companies changing from centralized to decentralized systems. This paper proposes a system for identity and access management using blockchain technology to support authentication and authorization of entities in a digital system. A prototype d...

Among the eruptive activity phenomena observed on the Sun, the most technology threatening ones are flares with associated coronal mass ejections (CMEs) and solar energetic particles (SEPs). Flares with associated CMEs and SEPs are produced by magnetohydrodynamical processes in magnetically active regions (ARs) on the Sun. However, these ARs do not...

Among the eruptive activity phenomena observed on the Sun, those that threaten human technology the most are flares with associated coronal mass ejections (CMEs) and solar energetic particles (SEPs). Flares with associated CMEs and SEPs are produced by magnetohydrodynamical processes in magnetically active regions (ARs) on the Sun. However, these A...

Connected vehicles (CVs) are one of the critical components of intelligent transportation systems. CVs enable any vehicle to act as a smart node that collects and shares information on vehicles, roads, and their surroundings. This information can then be distributed to other vehicles via vehicle-to-vehicle (V2V) communication, and also to road user...

Among the eruptive activity phenomena observed on the Sun, the most technology threatening ones are flares with associated coronal mass ejections (CMEs) and solar energetic particles (SEPs). Flares with associated CMEs and SEPs are produced by magnetohydrodynamical processes in magnetically active regions (ARs) on the Sun. However, these ARs do not...

The European adoption of smart electricity meters triggers the developments of new value-added service for smart energy and optimal consumption. Recently, several algorithms and tools have been built to analyze smart meter's data. This paper introduces an open framework and prototypes for detecting and presenting user behavior from its smart meter...

The terms Internet of Things and Big Data are currently subject to much attention, though the specific impact of these terms in our practical lives are difficult to apprehend. Data-driven approaches do lead to new possibilities, and significant improvements within a broad range of domains can be achieved through a cloud-based infrastructure. In the...

Demand response is proposed as a solution to handle the fluctuations in the power supply in a scenario with higher penetration of renewable energy sources. Although demand response already offers a positive business case in certain domains, it still lacks maturity in other areas, especially in the residential domain. This paper presents a comprehen...

The ongoing upgrade of electricity meters to smart ones has opened a new market of intelligent services to analyze the recorded meter data. This paper introduces an open architecture and a unified framework for deducing user behavior from its smart main electricity meter data and presenting the results in a natural language. The framework allows a...

This paper proposes a simple method for categorizing fields on a regional level, with respect to intra-field variations. It aims to identify fields where the potential benefits of applying precision agricultural practices are highest from an economic and environmental perspective. The categorization is based on vegetation indices derived from Senti...

Demand response can be applied in a smart grid scenario to promote renewable energy integration by regulating the electricity consumption to match the available renewable production. Buildings are relevant demand response sources for consuming significant amounts of electricity. This paper presents Green Lift, an intervention that explores the dema...

The ongoing upgrade of household electricity meters to smart meters rises the developments of new efficient energy services and optimal consumption. Tools and algorithms have been built to disaggregate the meters' data and provide analyses of the user's consumption. This paper introduces an open architecture and a unified framework for deducing the...

This report contains a summary of results from the ForskEL project: Virtual Power Plant for Smart Grid Ready Buildings and Customers.

Balancing the smart grid is a continuous process that requires to equate the energy production with the consumption of electricity in the grid. Demand response can support the stability of the grid by incorporating the customer side. In order to communicate with the customers, standardized demand response protocols are used. However, the performanc...

It was long time ago, when the Internet was a basic network used for data and information sharing. The evolutionary process of the Internet started with connecting people and then with the increasing popularity of it and with the emerging concept of smart systems, device-to-device communications within smart systems dawned. And now; by taking the a...

Energy management in households gets increasingly more attention in the struggle to integrate more sustainable energy sources. Especially in the electrical system, smart grid systems are envisioned to be part in the efforts towards a better utilisation of the energy production and distribution infrastructure. The Home Energy Management System (HEMS...

In modern power systems, co-simulation is proposed as an enabler for analyzing the interactions between disparate systems. This paper introduces the co-simulation platform Virtual Grid Integration Laboratory (VirGIL) including Hardware-in-the-Loop testing, and demonstrates its potential to assess demand response strategies. VirGIL is based on a mod...

Heating, ventilating and air conditioning (HVAC) systems in buildings are attractive assets to provide flexible consumption from the demand-side. This flexibility can be applied to balance the intermittent electricity generation of renewable energy sources. This paper assesses the demand response potential of ventilation fans in Nordic countries co...

Monitoring biomass storages by using wireless sensor networks with localization capabilities can help prevent economic losses during storage, help to improve the grain quality and lower costs during drying. In this article, the received signal strength was used to perform localization of wireless sensor nodes embedded in a grain storage. A path los...

The higher penetration of renewable energies into the electrical grid and the increasing power demand will transform the current grid model. The traditional production-oriented grid will be replaced by a more dynamic grid, known as the Smart Grid, where consumption will be adapted to the momentary available production. Getting flexibility in the de...

Smart grids offer an indisputable business opportunity for system operators and energy traders to engage in demand response programs. Hereby these actors may profit from trading flexibility provided at the prosumer side on the energy markets. This paper discusses the system design challenges for an information and communication technology system in...

The European adoption of smart electricity meters triggers the developments of new value-added service for smart energy and optimal consumption. Recently, several algorithms and tools have been built to analyze smart meter's data. This paper introduces an open framework and prototypes for detecting and presenting user behavior from its smart meter...

The European research project SEMIAH aims at designing a scalable infrastructure for residential demand response. This paper presents the progress towards a centralized load scheduling algorithm for controlling home appliances taking power grid constraints and satisfaction of consumers into account.

A method for detection and identification of polar gases and gas mixtures based on the technique of terahertz time-domain spectroscopy is presented. This relatively new technology promises to be the first portable far-infrared spectrometer, providing a means for real-time spectroscopic measurements over a broad bandwidth up to several THz. The meas...

Not far into the future, the power grid will be supported by response from the consumers, helping the grid operators in making more informed decisions about administrating electricity distribution. A critical enabler for a stable solution is the communication protocol between the consumer and the grid operator. Currently, there exist many evaluatio...

Not far into the future, the power grid will be supported by response from the consumers, helping the grid operators in making more informed decisions about administrating electricity distribution. A critical enabler for a stable solution is the communication protocol between the consumer and the grid operator. Currently, there exist many evaluatio...

The Smart Grid represents an unprecedented opportunity to move the energy industry into a new era. In this context, Demand Response programs provide mechanisms to regulate the power demand through load control according to conditions of the supply side, where consumers can efficiently schedule the operation of their appliances. This paper has propo...

In the agricultural domain, proper storage conditions of crops is important to avoid losses due to degradation of crop quality. Currently, monitoring storages is often done manually and by using only a few samples. This makes the process time-consuming and in many cases the few samples taken cannot ensure a good overview of the entire storage. This...

In this paper we present the SmartHG project together with the main objectives and applied methodologies. The architecture is introduced and the first year results and achieved goals of SmartHG shown. The principles of interaction between Home and Grid oriented services are described and the current state of the service development reported. The fo...

A novel and open ICT infrastructure for the implementation of automated demand response in households will see the light of day. The Scalable Energy Management Infrastructure for Aggregation of Households (SEMIAH) project will develop a generic environment for the deployment and innovation of smart grid services in households. The SEMIAH concept wi...

The electricity grid is undergoing a radical transformation from a production-driven to a demand-driven energy delivery platform known as the smart grid. The integration of a large amount of renewable and distributed energy resources, together with new patterns of electricity production, accentuates the need for research in information and communic...

Wireless Body Area networks (WBANs) aim at supporting a variety of health care applications with different quality of service (QoS) requirements under dynamic wireless channel conditions. Furthermore, there are many design constraints on the sensor nodes [1]. Therefore, it is very challenging to design MAC protocols for WBANs to offer scheduling fl...

Data concentrators in advanced metering infrastructures (AMI) are central for collecting electricity meter data. Due to their position at the transformer substation in the distribution grid, concentrators offer an opportunity for value added services to be introduced by the distribution system operator. However, these services must be deployed with...

Concatenation of bitstrings is denoted '|'. The Input is a bitstring that is unique within a given context. The Context ID is a randomly generated value defining the expected usage context for the particular ORCHID and the hash function to be used for generation of ORCHID in this context. The purpose of a context ID is to be able to differentiate b...

Future Internet research is needed to bring the Internet and the Things closer to each other to form the Internet of Things. As objects in our daily life gradually become smarter, there is an increasing benefit of networking these objects. In this article, a method to couple objects, the Things, to the Internet is suggested. The solution uses virtu...

This road map is a result of part-recommendation no. 25 in ‘MAIN REPORT – The Smart Grid Network’s recommendations’, written by the Smart Grid Network for the Danish Ministry of Climate, Energy and Building in October 2011. This part-recommendation states: “Part-recommendation 25 – A road map for Smart Grid research, development and demonstration I...

To enhance network scalability and increase network lifetime in large-scale wireless sensor networks (WSNs), clustering has been recognized as an effective solution for hierarchical routing, topology control and data aggregation. Inspired by the collective behavior of flocks and schools, we propose a Bio-inspired self-organizing Low-Complexity Clus...

The wireless body sensor network (BSN) is used to detect and transmit physiological data such as vital signs by using radio wave communication. It offers a large saving potential for future healthcare applications because hospitalization of patients with chronic diseases can be kept at a minimum. The radio wave communication on the human body is im...

To support reliable real-time applications in Body Sensor Networks (BSNs), it is necessary to develop an efficient and robust routing protocol. However, it is challenging due to the specific radio propagation characteristics, dynamic network topology, variable link quality caused by body movements or environments, extremely low transmission power a...

To fulfill the vision of the Future Internet a ubiquitous deployment of IPv6 is a necessity. The work presented in this paper combines networking technologies and mobile software application development to support interworking of mobile devices and smart objects. We report on the implementation of an Android IPv6 smartphone that interworks with Web...