Projects on display at the 2018 Open House

AI, Machine Learning, Deep learning, Automation

Making troubleshooting easier
We have at SICS RISE together with the spinoff company Mavenoid developed a platform for technical diagnosis, which will make troubleshooting significantly easier. The core method is a hybrid between machine learning and expert knowledge, which can start working even before there are any real training examples, while being much easier to build and maintain than traditional knowledge based systems.

This project proposes a radical departure in that the various tasks for code generation are translated into models of combinatorial problems and the resulting models are solved in unison by constraint programming as a modern method for combinatorial optimization. The models are generated with respect to
the program to be translated and a high-level description of the target architecture.
The challenge in this project is to devise an approach and techniques such that code generation is correct and simple, robust and scalable, potentially optimal, retargetable and open, and widely applicable.

Data Analysis and Machine Learning in Industry 
Production industry faces the challenge of improving quality and efficiency in the current AI era, with large quantities of available real time quality and process data and with a rapid development of machine learning methods, adapted to finding quality and process data relationships. This applies to additive manufacturing (3D metal printing), robot welding and continuous casting of steel.

Streamline -  Streaming data analytics with batch processing 
Today’s big data analytics systems cater to either “data at rest” or “data in motion.” As a result, enterprises are left to devise costly strategies to support and integrate disparate systems. To alleviate this burden, STREAMLINE aims to reduce complexity, enable faster results, and support both “data at rest” and “data in motion” in a single system. STREAMLINE research and innovation actions include carrying out groundbreaking research in the area of distributed systems, data management, and machine learning with the key goal to arrive at sustainable innovation in the area of fast and big data analysis. STREAMLINE will achieve sustainability by building upon and feeding back into Apache Flink, a leading open-source data analysis system that empowers European enterprises to jointly carry out data analysis for both “data at rest” and “data in motion” far more efficiently and for much lower cost than with existing tools and technologies. Furthermore, STREAMLINE will demonstrate impact in four reactive and proactive analytics applications: one focused on customer retention, another on personalised recommendation, the third on targeted advertisement and the fourth on multilingual Web processing.

Att planera tågtrafik: varför går tågen där de går?
Tåg ska gå där det finns transportbehov. Men för att ett tåg ska avgå krävs det också lok, vagnar, personal, spår och grön signal. Tågoperatörer och infrastrukturägare ansvarar för planeringen av sina respektive resurser, men för att allt ska vara på plats vid avgångstid måste planerna passa ihop. Vi visar projekt med inriktning på samverkan och optimering i digitaliserade järnvägsplaneringsprocesser.

We present a language technology service for web editors’ work on making texts easier to understand, including tools for text complexity analysis, text simplification and text summarization. We also present a text analysis service focusing on measures of text complexity.

BoostVHT: Boosting Distributed Streaming Decision Trees
We develop BoostVHT, the first method that allows boosting online de- cision trees in a distributed setting, while maintaining the guarantees of any underlying boosting algorithm.

A Platform for Continuous Deep Analytics
Following the success of Apache Flink, our group's next project takes data analytics a leap forward, from scalable data streaming to continuous deep analysis. The aim of the project is to provide a system software stack that can incorporate diverse computational models such as dynamic graphs, tensors and iterative relational streams while managing to interoperate and execute these workloads at the speed of native specialized modern hadware (e.g., GPUs, TPUs). Our approach is programming language agnostic and is comprised of an intermediate representation that can encapsulate core shared data operations which can be further optimised and tailored to any available specialized hardware at runtime.


PROMPT - Master Courses in Software Engineering for Professional Developers 
PROMPT is a joint project between academic parties and Swedish industry where advanced self-contained university courses in Software Engineering are offered free of charge in a web-based format by Mälardalen University, Blekinge Institute of Technology, Chalmers University of Technology, University of Gothenburg and the research institute RISE SICS. The courses are directed towards professional software developers and are possible to combine with a full-time job. The PROMPT initiative is managed by Mälardalen University and financed by the Swedish Knowledge Foundation (KK-stiftelsen).

A voice-controlled robot arm
Until just a few years ago, controlling a robot by speaker-independent voice commands was considered a difficult problem, but now we can show that building a voice-controlled machine is inexpensive and easily within reach for any maker. Although such applications of deep learning produce impressive results, they are not really "intelligent" - something more is required. The question is: What?
Contact: martin.nilsson [at] ri.se (Martin Nilsson)

Digital CoLaborations – Lab and testbed with focus on AI, VR, IoT, Big Data and more!
Digital CoLaborations (working name) will be a lab, testbed and meeting space in the center of Västerås run by RISE SICS Västerås together with Automation Region. It will focus on areas like AI, VR, IoT, Big Data, visualization and other interesting technologies. The lab will be used internally but also as a meeting space where companies can get help with e.g. analyzing and visualizing their data.


KURMA - Load balancing in geo-distributed data centers
We present Kurma, a practical implementation of a geo-distributed load balancer. Kurma integrates network latency and a system’s service time distributions to solve a decentralized rate-based performance model.
Using a geo-distributed deployment across Amazon EC2 we demonstrate that Kurma can reduce SLO violations by up to a factor of 3 or reduce the cost of running the service by up to 17%.

Metron: NFV Service Chains at the True Speed of the Hardware
The emerging 100 Gbps deployments will challenge the packet processing limits of commodity
hardware, as per Network Functions Virtualization (NFV). To enable such deployments we
introduce Metron; a system that operates at the speed of the underlying hardware. Metron
eliminates inter-core transfers between NFV modules, achieving linerate throughput with 4.7x
lower latency than the state of the art.

Network Intelligence for Time-Critical Clouds 
Effective resource utilisation and SLO adherence
with minimum control overhead - these are a few of the many requirements on the
next generation networks. Also, they have to be data-driven, autonomous and
operate intelligently. Check out how we take on these challenges and seize the
opportunity to be first in taking a closer look at our first testbed running
some of our solutions

Taming the radio variability for next generation mobile services.
Effectively managing and operating heterogeneous infrastructures under highly varying network conditions
is a huge challenge in 5G. We present our approach to tame the radio
network variability in such infrastructures to achieve the ambitious
objectives of next generation mobile services.

Flexible distributed control plane deployment 
We focus on how to deploy distributed controllers for programmable networks. To solve this problem, we propose an approach that can automatically find a non-congestion controller deployment plan fulfilling requirements such as reliability and bandwidth. Moreover, we also propose a novel distributed algorithm to deal with controller failure issues and enhance the control service availability.


Contract workflow engine on blockchain
Blockchain technologies enable sharing of the latest state of information. Many trade and business relations require sharing and distribution of information. In this exhibition we will tell about work on modelling legal contract workflows using blockchain technologies.

When Trust Saves Energy - A Reference Framework for Proof of Trust (PoT) Blockchains
Blockchains are attracting the attention of many technical, financial, and industrial parties, as a promising infrastructure for achieving secure peer-to-peer (P2P) transactional systems. At the heart of blockchains is proof-of-work (PoW), a trustless leader election mechanism based on demonstration of computational power. PoW provides blockchain security in trusless P2P environments, but comes at the expense of wasting huge amounts of expensive energy. In this project, we question this energy expenditure of PoW under Blockchain use cases where some form of trust exists between the peers. We design a Proof-of-Trust (PoT) protocol, that valuates peers trust in the network and uses it as a waiver for the energy that has to be spent for PoW; i.e., install a mindset of "the more trusted you are the lesser work you have to prove.

Recent attacks against insecure IoT devices have highlighted the need for better security mechanisms for the smallest things on the Internet. Many of these things are limited in performance, such as limited RAM, the need to save battery power, and connectivity over low-power lossy networks.  
RISE SICS and Ericsson are working at the IETF with access control for these devices.
contact: martin.gunnarsson [at] ri.se (Martin Gunnarsson)

COLA - Cloud Orchestration on the Level of Applications
The Cloud Orchestration at the Level of Application (COLA) project aims to increase the adoption of cloud computing services by SMEs and public sector. The overall objective of the COLA project is that by building on and extending current research results, it will define and provide a reference implementation of a generic and pluggable framework that supports the optimal and secure deployment and run-time orchestration of cloud applications. COLA will demonstrate the applicability and impact of the solution via large scale near operational level SME and public sector pilots and demonstrators.
contact: nicolae.paladi [at] ri.se (Nicolae Paladi)

Our society increasingly relies on digitalization of critical infrastructures, in order to achieve gains in efficiency, safety and better access to societal services for citizens and industries. An important part of the digitalization process is to connect critical infrastructures to the Internet. This creates a wide range of opportunities for security attacks with a huge potential impact, and thus makes our society vulnerable and unsafe.
The core idea of the CritISec project is to develop novel security products, services and standards for edge networks in critical infrastructures. These services will make it possible  to connect edge networks to control systems in a secure and robust way, and to secure the edge network itself when it is the critical infrastructure that requires protection.
The main results of this project will be novel security standards, solutions, products and services that can be used by providers of critical infrastructures to secure edge networks connected to their production systems. This will reduce the risk of malicious service disruption and preserve availability, reliability and safety in provisioning of societal services.

The fusion of cloud, mobile and wireless technologies is one of the biggest business enables in the future, it is also seen as a major security challenge.  
The lack of security technologies that functions across such different infrastructures, slows adoption of these technologies.  
CyberWI aims to develop security building blocks to cover the gaps between these technologies in industrial use cases. 

IoT devices using Low power and Lossy Networks (LLNs ) usually periodically sleep to preserve power. This
makes proxying essential.  CoAP an Application-Layer protocol has integral support for proxying but relies
on trusted proxies.  Securing CoAP with DTLS does not work with un-trusted proxies. OSCORE uses
Object Security to provide encryption and integrity protection of CoAP messages.

In the past decades manufacturing paradigms have changed. The introduction of automated processes and the continuing integration of networks in these processes result in new challenges for the modern Industry. This modern industry, sometimes called Industry 4.0 feature a high degree of interconnection.
The Sec4Factory project is a four year project with RISE, LTH, ABB andTetraPack funded by SSF.

Context-aware self-adaptive defense against Denial of Service
IoT devices are directly connected to the Internet and vulnerable to Denial of Service (DoS) attacks, making them less reactive or unable to serve requests.
We developed a context-aware cross-layer adaptive approach to counteract DoS attacks. It leverages a trusted proxy that shields victim devices which limits
the impact of DoS attacks preserving availability to the best extent possible.

DRISTIG – Driftavbrott i samhällsviktiga IT-tjänster  
Det moderna samhället är helt beroende av IT-tjänster för att fungera. Drift­avbrott i dessa tjänster kan leda till allt från fördröjda leveranser och kortare elavbrott till butikshyllor som gapar tomma och brist på allt från livsmedel till läkemedel. Viktiga IT-tjänster finns spridda i hela samhället, i såväl privat som offentlig sektor. I det moderna samhället bör fungerande IT betraktas som en kritisk infrastruktur.
Konsekvenserna av drift­avbrott – både ekonomiska och övriga – blir således bara större och mer oöverskådliga. Ändå är området inte särskilt välstuderat. Projektet syftar till att fylla dessa kunskapsluckor och ta fram praktiskt relevant kunskap som kommer till nytta för att bedöma risker och minska konsekvenserna av IT-drift­avbrott.

DTLS Security Profile for Access Control in the IoT
The ACE framework provides authentication and authorization in IoT environments, using OAuth 2.0 and CoAP as building blocks. It is up to separate profiles to define the communication and security protocols between a Client and a Resource Server. This project implements the DTLS profile of ACE for the Contiki OS, towards an experimental evaluation against the previously developed IPsec profile.

Group OSCORE - Secure end-to-end group communication in the IoT
OSCORE is an application-layer secure communication protocol for constrained environments, providing end-to-end security in the presence of intermediary proxies. This project designs the usage of OSCORE in group communication contexts, where IP multicast can be used for fast message delivery. Also, it designs a process to securely join OSCORE groups and provision the required security material.

RISE Centre for Cybersecurity
We hardly pass any day without hearing of a new cyber-attack. This is primarily due to the fact that more and more information systems are being connected to the public Internet without employing sustainable security. The importance of strong cybersecurity does not need a justification anymore and is inevitable for any, directly and indirectly, Internet-connected device or network.
Although we can rely on available generic tools, techniques and guidelines that are applicable across multiple domains, the individual application areas have specific constraints and cybersecurity needs; for example, the Mobility area is more focused on automotive that has different security needs than the Life Science area that is more focused on e-Health.  
In addition to the application ares constraints and needs, the paramount importance of cybersecurity is strongly stressed by Swedish industry and Swedish government.  Most Swedish industries, especially the ones in the area of critical infrastructures (energy grids, water systems, communication systems, transportation systems) are highly susceptible to cyber-attacks and need cybersecurity overhauls. Especially in these critical systems, a cybersecurity breach has also safety implications on top of negative impacts on business. This further enhances the importance of strong cybersecurity that in turn needs strong in-house cybersecurity skills in Sweden.

Currently, RISE is involved in a number of IT security activities, which include hardcore technical work
as well as security testing, risk management and social aspects of cybersecurity. Furthermore, different
RISE divisions are involved in different sectors (automotive, telecom, security, etc.). As we now put all these skills together in a coordinated way, RISE is most certainly the strongest cybersecurity player in Sweden and among the top ones internationally. This has enabled an opportunity to formulate attractive offers to the industry and public sector, and established RISE as a stronger speaking partner!

Your car is a data center
Modern vehicles can contain over 100 computers connected to various in-car networks and the outside world via arrays of sensors and communication interfaces. With connected and self-driving cars the complexity of these systems will increase rapidly, practically turning the car into a small data center.
In SEVA the Security lab and Volvo Cars work to improve vehicle security by bringing security technologies such as virtualization and firewalls into this network.



Securely opening Big Data to IoT and beyond with TLS
Hops is a next-generation Hadoop distribution developed at RISE SICS and KTH which employs X.509 certificates to provide encryption, authentication and
authorization to the RPC layer instead of the traditional Kerberos protocol.
The process of generating, signing and shipping certificates is transparent to the user as the platform automatically handles it, along with rotation and validation for compromised certificates.
contact: antonios.kouzoupis [at] ri.se (Antonios Kouzoupis) 

Big Data Analysis of traffic flow
In this demo we show how road traffic data is processed at RISE
contact: ian.marsh [at] ri.se (Ian Marsh) and Ahmad.al-Shishtawy [at] ri.se (Ahmad al-Shishtawy)

BADA Traffic Hazard Warning: Real-Time Streaming Analytics for Classification of Hazard Events
In the Big Automotive-Data Analytics (BADA) project, we investigate how Big Data Analytics Platforms and Machine Learning Algorithms can impact the transport and automotive industries.
In this poster, we present how Apache Flink can be used to analyse and classify hazard warning events received in real-time from vehicles on the road. We show the architecture and how it was deployed using HopsWorks in our datacenter in Luleå. We also discuss how the multi-tenancy feature of HopsWorks is used to enable collaboration by combining hazard events from multiple event providers.
contact: Ahmad.al-Shishtawy [at] ri.se (Ahmad al-Shishtawy)

BADA Traffic Safety: Interactive Exploration and Visualization of Traffic Accident Data
In the Big Automotive-Data Analytics (BADA) project, we investigate how Big Data Analytics Platforms and Machine Learning Algorithms can impact the transport and automotive industries.
In this poster, we present how Apache Flink can be used to analyse and classify hazard warning events received in real-time from vehicles on the road. We show the architecture and how it was deployed using HopsWorks in our datacenter in Luleå. We also discuss how the multi-tenancy feature of HopsWorks is used to enable collaboration by combining hazard events from multiple event providers.
contact: Ahmad.al-Shishtawy [at] ri.se (Ahmad al-Shishtawy)

Short-Term Traffic Prediction Using Long Short-Term Memory Neural Networks
Short-term traffic prediction allows Intelligent Transport Systems to proactively respond to events before they happen. We propose and compare three models for short-term road traffic density prediction based on LSTM. We trained the models using traffic data collected by Motorway Control System in Stockholm. Our approach improves the scalability and reduces the complexity of the models without compromising the prediction accuracy.
contact: Ahmad.al-Shishtawy [at] ri.se (Ahmad al-Shishtawy)

SpanEdge: Towards Unifying Stream Processing over Central and Near the Edge Data Centers
The common approach today for stream processing is to transfer the raw data streams to a central datacenter for processing, which entails communication over wide-area network (WAN). This approach is inefficient and falls short for two main reasons: i) the burst in the amount of data generated at the network edge by an increasing number of connected devices, ii) the emergence of applications with predictable and low latency requirements. SpanEdge is a novel approach that unifies stream processing across a geo-distributed infrastructure, including central and near the edge datacenters. SpanEdge reduces or eliminates the latency incurred by WAN links by distributing stream processing applications across datacenters, bringing it closer to the end user.
Contact: Ahmad.al-Shishtawy [at] ri.se (Ahmad al-Shishtawy)

Hopsworks: Improving User Experience and Development on Hadoop with Scalable Strongly Consistent Metadata
Hopsworks is a new project-based multi-tenant platform for secure collaborative data analysis, running on top of HopsFS and HopsYARN. Hopsworks leverages the extensibility of HopsFS to introduce three new concepts to Hadoop: Projects, Datasets and Dynamic Roles.
contact: gautier.berthou [at] ri.se (Gautier Berthou) 

Distributed Deep Learning on Hopsworks 
Hopsworks is a multi-tenant, project based, python-first data-science platform. Projects have their own isolated python environment in which users install libraries using pip or conda. In Hopsworks, users can easily parallelize machine learning experiments on many GPUs, run distributed training and serve models. For visualization and debugging, TensorBoard is fully integrated in the platform.
contact: robin.andersson [at] ri.se (Robin Andersson)

Cloud U Trust
The core idea of the project is to combine  Attribute-Based Encryption schemes with Symmetric Searchable Encryption  to provide cloud-based services that ensure the protection of data confidentiality and user privacy, while maintaining the fundamental benefits of cloud computing (e.g. easiness of sharing files between multiple users).
In this feasibility study we will bring together a team of experienced partners that will contribute their experise to the successful implementation of the project objectives. This will help achieve the main goal of the project: design and implement secure and privacy-preserving cloud-based services using the latest advancements in cryptography. 
contact: nicolae.paladi [at] ri.se (Nicolae Paladi)

HopsFS: A Next Generation Hadoop Distributed File System
HopsFS is a next-generation high-performance distribution of the Hadoop Distributed File System (HDFS) that replaces HDFS single node in-memory metadata service with a distributed metadata service built on a NewSQL database. HopsFS outperforms HDFS by an order of magnitude in both in terms of the size of the supported namespace and also the throughput of the file system operations. 

SCOTT - Secure Connected Trustable Things
The project objectives include to provide comprehensive cost-efficient solutions of wireless, end-to-end secure, trustworthy connectivity and interoperability, and bridge the last mile to market of ‘trustable things that are connected’. The role of RISE SICS is to develop a pilot with focus on the support of distributed cloud integration services for novel connected mobility applications.

Hopsworks Dela - sharing big datasets
Big Data Analytics and Deep learning rely on smooth integration of Infrastructure -
large scale computation and storage, as well as Data and Algorithms.
Hopsworks-Dela is a system we are building at SICS and KTH to tackle the Data
and Infrastructure challenges. Dela enables Hopsworks clusters, capable of
analysing large datasets, to share both their raw data as well as their
results. Dela allows searching through a catalog of published datasets and
downloading them to your private cluster in order to reproduce previous work or
generate your own new results. Dela is a peer-to-peer service, designed for
large-scale storage backends and data transfers that are both non-intrusive to
existing TCP traffic and provide high throughput even on high latency, high bandwidth
network links, such as transatlantic network links. Dela supports both Apache
Kafka and HDFS and will soon integrate cloud storage support as well.

ICE ECC - Experimental Compute Cloud
ICE ECC is available on http://ice.sics.se and is a experimental cloud based on Openstack för virtual machines, bare metal machines of different kinds, GPU accelerated servers, block storage.

SENDATE-EXTEND is a Celtic-plus Vinnova project on holistic automation including data collection, monitoring and control of a datacenter using open source tools and ABB Ability DCIM tool

DMI, Datacenter Microgrid Integration
DMI is a Swedish energy agency project on integration of a solar panel microgid with an edge datacenter for the use cases load balancing, off-grid operations, energy storage.

DRAFT, Datacenter Research on Air-Flow Technologies
DRAFT is a Swedish energy agency project on technics for improved air-flow in datacenter to minimize fan energy use. One technology studied is the chimney draft effect.

D-ICE, Datadrive lab on ICE
D-ICE is a Vinnova project for the use of HOPS and a code dev environment on ICE for a few industry use cases. Scania is one of the pilots doing machine learning/Big data development in the project.

GreenDC Awards, Datacenter Innovation competition
Green DC awards is a Vinnova project for a student competition for new innovative solutions regarding heat re-covery in datacenters.  Hydro66 datacenter is the case in the competition and physical space will be used for demo of the winner.

Community Detection: Solving the Size Heterogeneity Puzzle
Communities in real-world networks vary in their characteristics, such as their internal cohesion and size. Despite a large variety of methods proposed to detect communities, they are quite successful with extracting communities in homogeneous cases but suffer in heterogeneous community size distributions. In this poster, we present a novel approach that is able to extract communities more accurately in heterogeneous cases by dropping “one size fits all” model.

IMPRINT will focus on making product integration testing more efficient and effective by model based test
automation and test reuse. 

RISE SICS East Autonomous systems and IoT
Autonomous systems using drones is an exciting area where RISE SICS East is an attractive partner. We already laid grounds for a big UAV testbed located in Västervik, a prerequisite for all development of advanced UAVs and UAV-applications. Now we are working with partners to develop new applications for drones. The UAV testbed will be host for upcoming tests and demonstrations. We are also together with partners developing a traffic management system for drones.
Neural Networks and AI are application areas within RISE SICS East Division IoT where edge inference of pretrained networks are of particular interest. We aim to support the industry with the latest algorithmic and hardware advancements and technological insights through research collaborations. 

Testbed UAV Västervik 
The Vinnova supported test bed for UAV research and development in Västervik is a four year project with an estimated turn around of 20 milj SEK. The purpose is to test, verify and certificate different unmanned flying (but potentially also ground and water) vehicles, sensors and systems of systems to make them
usable, user friendly and beneficial for a wide area of applications from agriculture, forestry, hydroculture, environmental protection, environmental technologies, inspections of power plants and power lines, building and facilities inspection, transports on railways, roads, on sea and in air, search and rescue, safety, security and defence, as a part of Internet of things and systems for autonomous navigation etc.


Systems-of-systems (SoS) are independent systems that collaborate to achieve common purposes. They become increasingly important as a consequence of digitization. RISE ICT is starting a new initiative around SoS engineering, in order to build competence and address important challenges related to system architecture, interoperability, trustworthiness, business models, and development methods and tools, with applications in different business sectors.

SoSSUM: Systems-of-Systems for Smart Urban Mobility
The Swedish Strategic vehicle research and innovation program (FFI) is launching a new strategic initiative to build knowledge around systems-of-systems in the area of urban mobility. The program is running 2018-21, with a total budget of at least 100 MSEK. Apart from a number of R&D projects, the program also contains a Core activity that will be instrumental in building knowledge and coordinating projects. This Core activity will be led by RISE ICT.

Sweden 4 Platooning
Truck highway platooning is a system-of-systems aiming to reduce fuel consumption by driving trucks close to each other. The first truck is driven manually, and the following ones (semi-) automatically. In the project Sweden 4 Platooning, it is investigated how multi-brand platooning can be organized. It is a collaboration with Volvo, Scania, Schenker and Trafikverket. RISE SICS is developing use cases, business and safety analyses, and off-board architecture.


TESTOMAT Project: The Next Level of Test Automation
The ITEA 3 TESTOMAT project (2017-2020) will allow software teams to increase the development speed without sacrificing quality. To achieve this goal, the project will advance the state-of-the-art in test automation for software teams moving towards a more agile development process. The project will ultimately result in a Test Automation Improvement Model, which will define key improvement areas in test automation, with the focus on measurable improvement steps.

MegaM@RT2 Project - MegaModelling at Runtime
The ECSEL JU MegaM@Rt2 project will create a framework incorporating methods and tools for continuous development and validation leveraging the advantages in scalable model-based methods to provide benefits in significantly improved productivity, quality and predictability of large and complex industrial systems. Specifically, the overall approach of MegaM@Rt2 project is to scale up the use of model-based techniques by offering proper methods and related tooling interacting between both design time and runtime, as well as to validate the designed and developed approach in concrete industrial cases involving complex systems.


Internet of Things

Construction Factory 
The construction industry has seen a very poor development in productivity compared to manufacturing. To address this, the concept Construction Factory is being developed by RISE SICS in collaboration with Volvo CE and Mälardalen University. It consists of a hierarchical system-of-systems based on Industrie 4.0 technology, allowing optimization using Lean-based analysis. As a pilot, the concept is being applied in the road construction sector. 

COMMAND - Kommunikation och underhåll för den digitala fabriken
 Projektet Command drar nytta av ny teknik för att definiera, utveckla och verifiera lösningar i tre fallstudier för att förbättra produktion, service och underhåll. Projektet använer teknik från tre olika områden: konsument- och spelindustrin (t ex Hololens från Microsoft), datavetenskap (t ex Analytics för beslutsstöd), och ny kunskap och teknik inom kommunikationsvetenskap (t ex sociala medier).

Safe IoT
Personal safety is today lifted as one of the most important strategic topics in Swedish industry. Looking at key performance indices, personnel safety is now an equal priority to productivity, cost, quality and sustainability. To ensure productivity, profit, quality and sustainability there are several automation systems on the market and a lot of ongoing research, while the area of co-workers' safety in hazardous environments is not as far developed. This project puts people and safety in focus where the target is to create a safer industry. 

Lightweight certificates for IoT
To defend the Internet of Things (IoT) untrusted parts of Internet and to protect internet-connected critical infrastructure from the IoT, also IoT devices need access to a Public Key Infrastructure (PKI) that is tailored to work on resource constrained devices. One important aspect is reducing the overhead of certificates, while maintaining the desired level of security, and still staying standard compliant. Our lightweight certificate profile and its implementation add important PKI building blocks, that is shown to work without changing the server / Certificate Authority implementation.
Contact: joel.hoglund [at] ri.se (Joel Höglund), shahid.raza [at] ri.se (Shahid Raza)

Renode: Faster Software Development Cycles for Embedded Systems
The open source Renode framework, developed by Antmicro, is a flexible simulation framework enabling a workflow with Continuous Integration (CI) that is notoriously difficult to perform with physical devices. Renode’s target is to simulate not only CPUs but entire SoCs and development boards including sensors. Hence, unmodified firmware / software, identical with that used on physical hardware, can be run in Renode without the need for using ‘special’ compilation targets. Renode supports many CPU families such as ARM, x86 and the new RISC-V architecture. The multi-node simulation demo will highlight how Renode’s rapid prototyping, improved debugging, code-sharing, co-development features can be used for practical use cases today.

Multi-Access Performance in 3G/4G Networks: A Measurement Study in MONROE
Connected vehicles can make roads traffic safer and more efficient, but require the mobile networks to handle time-critical applications. Using the MONROE testbed we conduct a measurement study on buses. We study what network performance connected vehicles  can expect in today's mobile networks, and to what extent access to several operators in parallel can improve performance.

A Push for Secure Connected Industry
In order to stay competitive companies from many domains need to connect their products to the Internet to offer new viable services for their customers. While connecting products to the Internet enables the creation of such new services, it is not without risks. Reports on attacks on connected devices cause loss of money and, even worse, loss of reputation. RISE SICS, Evothings Labs and RISE Interactive will provide seminars, hands-on tutorials and hackathons for Swedish industry to securely connect IoT devices to the Internet, using standardized protocols and solutions.

5G-CORAL: A 5G Convergent Virtualised Radio Access Network Living at the Edge
5G-CORAL project leverages on the pervasiveness of edge and fog computing in the Radio Access Network (RAN) to create a unique opportunity for access convergence. This is envisioned by the means of an integrated and virtualised networking and computing solution where virtualised functions, context-aware services, and user and third-party applications are blended together to offer enhanced connectivity and better quality of experience. The proposed solution contemplates two major building blocks, namely (i) the Edge and Fog computing System (EFS) subsuming all the edge and fog computing substrate offered as a shared hosting environment for virtualised functions, services, and applications; and (ii) the Orchestration and Control System (OCS) responsible for managing and controlling the EFS, including its interworking with other (non-EFS) domains.

E-care@home: Dependable, Low-Power IoT Networking for Elderly Care
The E-care@home project aims at enabling independent living of the elderly by using Internet of Things (IoT) technology in combination with artificial intelligence, semantic web, and health sensors. This poster shows our research toward making IoT networks with different types of sensors communicate over radio in a dependable and energy-efficient manner. In particular, we show how we use the IEEE 802.15.4 TSCH protocol at the MAC layer, and the OMA LwM2M protocol at the application layer. We also discuss how our application layer implements run-time assurance and network scheduling for increased reliability.

Energy-Efficient Communication with Lightweight M2M in IoT Networks
This project aims to evaluate the performance of LwM2M operating with low power strategies applied
at different levels of the network stack. These strategies are the Q-Mode
present in LwM2M, and the MAC protocol TSCH. For this purpose, we implement the
Q-Mode inside Contiki-NG and Eclipse Leshan. The results can be used as a
guideline to select the most suitable strategy for an IoT application.

RISE Bikes - experiencing the connected bike
Based on a user-centred design perspective, this project investigates how digitalization together with more traditional infrastructure can be tightly integrated and augmented to create novel incentives for choosing bikes as a primary means of transport. Moreover, the project explores the kinds of data that would create incentives for behavioural change and empower citizens to make informed decisions when it comes to making travel plans.

READY - Research Environment for Advancing Low Latency Internet
Latency in the Internet infrastructure is an increasing problem for many applications and services.  The READY distributed research environment carries out research with the goal to reduce the overall network latency for media distribution, wireless automation and cloud-based services.  Making use of multiple network paths, including multiple network accesses, is an important approach.  We investigate multi-path scheduling algorithms for minimising total transaction latency for latency sensitive applications.  READY is a collaboration between SICS, Karlstad University and Mälardalen University funded by the Knowledge Foundation in the SIDUS programme.

SafePos II – Safety positioning and connectivity at fire and rescue operations in mines
SafePos II is a project where work focuses on increasing the positioning and data transfer capabilities of mining operations. The preliminary study has shown that UW B would be a possible technology solution, both for increased resolution to positioning and connectivity for safer and more efficient rescue efforts in mines. The project includes development of current technology, adaptation to visualization systems, investigation of the possibilities and development of new technologies for rescue services in order to facilitate relocation, smoke detector monitoring and information exchange between damage and management sites, utilizing the new opportunities offered by new positioning and connectivity technology. The project also includes an initial investigation on how the new technology can be used to enable interaction between conventional rescue efforts and interventions supported or replaced by remote-controlled extinguishing and rescue vehicles. The results of the project will come from both the development of new technology, tactics and methodology, as education materials for higher education and already professionals.

Digital Sweden
Digital Sweden is a power gathering of the Swedish ICT actors for a more efficient presence and influence in Brussels and an increased cooperation in Sweden. Better designed calls from Brussels will Swedish participation in ICT programmes. Digital Sweden will continue to develop long-term and coordinated networks both in Europe and in Sweden. Digital Sweden is supported by Vinnova.
Digital Sweden’s main goals
* To streamline the Swedish influence on EU’s ICT work programmes
* Highlight and promote the Swedish ICT both nationally and internationally
* Stimulate an increased cooperation (for advocacy) between ICT areas in Sweden
* Support and stimulate the Swedish participation in international RDI programmes, primarily within ICT

Renode: Faster Software Development Cycles for Embedded Systems
The open source Renode framework, developed by Antmicro, is a flexible simulation framework enabling a workflow with Continuous Integration (CI) that is notoriously difficult to perform with physical devices. Renode’s target is to simulate not only CPUs but entire SoCs and development boards including sensors. Hence, unmodified firmware / software, identical with that used on physical hardware, can be run in Renode without the need for using ‘special’ compilation targets. Renode supports many CPU families such as ARM, x86 and the new RISC-V architecture. The multi-node simulation demo will highlight how Renode’s rapid prototyping, improved debugging, code-sharing, co-development features can be used for practical use cases today.

Contact: mgielda [at] antmicro.com (Michael Gielda)joakim.eriksson [at] ri.se (Joakim Eriksson)


AI-MOVE is a digital service that analyses objective measures of human movement for early detection of movement dysfunction in workers. Validated assessments, machine learning and 3D visualisation will increase awareness and empower people to be proactive about maintaining optimal
health and /or compliance with rehabilitation plans. 

Implementering av lösning för vård av KOL-patienter i hemmet
Projektet syftade till att ta fram en lösning för vård av kroniskt sjuka i hemmet med stöd av IT. En väg till effektivare vård är att utveckla vården i hemmet. I KOL-projektet prövades en nyutvecklad lösning för vård av kroniskt sjuka patienter i hemmet. En ny vårdroll kallad Vårdoperatör  utvecklades i projektet. Vårdoperatören stödjer patienten i hemmet med hjälp av sensorer som mäter vissa hälsoparametrar, frågeformulär och videokommunikation.

Stockholm Digital Care
Allt fler i Sverige når hög ålder. Samtidigt förändras behovet av och förväntningarna på vård och omsorg. Då gäller det att hitta nya möjligheter för att kunna ge riktigt bra vård och omsorg för äldre även i framtiden. Detta är en utmaning men också en möjlighet.
Stockholm Digital Care är ett femårigt EU-projekt som har som mål att skapa tillväxt för små och medelstora företag i Stockholmsregionen som arbetar med välfärdsteknik. Med ett större utbud av välfärdsteknik specifikt utformad för äldre ska projektet samtidigt bidra till ett självständigt liv och välbefinnande för äldre som bor kvar hemma.

Health movement
The project goal is to develop the Health Integrator, a dynamic ecosystem of community and business actors in the health field. The impact is lowering the number of people developing non communicable diseases such as diabetes type 2, heart disease and mental health problems and decreasing health care costs with preventive interventions. Health integrator is aiming both towards being a complementary services connected to the health care system and as a service targeting occupational health. 

Visualization, User experience and Design Research

Virtual Reality based competence development in the process industry

Visualisering för en hållbar industri och stad
Människans utnyttjande av teknik går alltmer mot ökad autonomi i de tekniska systemen, vilket ställer krav på nya former av gränssnitt mellan människa och system, dels för att vid behov kunna ta över systemstyrningen, men också förstå systemets egna beslut, använda systemet som ett beslutstöd och kunna ge styrsignaler. Dessa former av gränssnitt är ännu tämligen outvecklade, men kommer att vara en nyckel till framgångsrik exploatering av autonoma system. Vi vill med de nya gränssnitten demonstrera hur tillgång till data på rätt sätt kan skapa smartare stad och mer hållbar industri.

Prototyping Citizen
Prototyping Citizen is a strategy and a research platform for democracy development and participatory practices. By joining research fields around systems and organizations, culture, engagement and learning practices we support organizations and businesses to identify lack of democracy and co-develop tailor-made methods for inclusion and developed trust cultures. 

RISE Interactive Norrköping
RISE Interactive C-Studio is based in Norrköping. The studio works with project based applied research, development and experimental production within the field of visualization and interaction design. With a practical and prototype driven approach C-studio works with projects within many areas such as immersive display environments, 3D technology, interaction design, information and geo visualization, ambient visualization, exhibition design etc.

RISE Interactive - A whetstone of Innovation
RISE Interactive addresses the big challenges by small incrementation, affecting and transforming behaviour and experience through interventions, workshops activities, probes and prototypes. We inspire, create, fail, learn, design, develop, produce research, transform, innovate and envision a more interesting future! This video gives a sneak peak of the diverse & multidisciplinary projects and research produced by the 6 different RISE Interactive studios in Sweden. 

AND MORE . . . 

Certification of data protection
Making sure consumers and B2B purchaser can evaluate what companies offer services that take proper care of their data has long been a problem. RISE is in the process of developing certifications for data protection in order to make that evaluation and choice easier, and makes good data protection a visible edge for companies and products. 

Affärs- och innovationsområde Digitalisering
Vi har samlat all RISE expertis, kompetens och testmiljöer inom digitalisering. Vi arbetar med både näringsliv och offentlig sektor, med små och stora bolag, i enskilda projekt eller i stora konsortier. Problemställningarna kan utgå från människan, tekniken eller våra gemensamma samhällsutmaningar. Målet är alltid att omsätta forskningsresultat till nytta och bidra till hållbar digitalisering i näringsliv och samhälle.

Enterprise Europe Network
Enterprise Europe Network - the largest SME support network in the world - facilitates internationalisation and innovation in SMEs by matchmaking, innovation management and access to finance. How can we help your company?