SICS Open House 2017

On May 17 we hosted our yearly Open House event, welcoming past, present and future collaboration partners.
The seminars from the day are now published, and you will find them through the links below.


Welcome & Introductions by RISE SICS CEO, Ingrid Nordmark, RISE SICS CEO

Digital transformation for collective well-being

-- Sara Öhrvall, Senior Advisor, Mindmill Network

What we can learn from Herbert Simon -- Nicklas Lundblad, VP of Public Policy and Government Relations for Europe, Middle East and Africa at Google Inc

Artificial Intelligence, Beyond Machine Learning -- Daniel Gillblad, PhD, Director, Decisions, Networks and Analytics Laboratory, RISE SICS

Multi-tenant Streaming-as-a-Service with Hops -- Theofilos Kakantousis, RISE SICS

Cyber security in the era of IoT and Cloud -- Shahid Raza, PhD, Director Security Lab, RISE SICS

Visualizing industry, Making industry more attractive -- Elina Vartiainen, Senior Researcher, RISE SICS Västerås

Co-creation – open innovation and intangible assets -- Martin D Mileros, Chief Digital Officer, RISE SICS East


Exhibition map

Exhibition stations:

Mobility, traffic

Situation-based Integration Testing of Automotive Systems using Guarded Assertions (SAGA)
Integration testing in the automotive industry is becoming increasingly complex, involving many different functions and components. SICS is working together with Scania to develop tool support (the SAGA toolbox) to make this testing more efficient and effective. This is done by automating test input generation, based on common driving situations, and allowing parallel evaluation of test scripts, thus mimicking real operating conditions, through the so called Guarded Assertions (GA). In addition, GAs are expressed in a user-friendly requirements modeling language, EARS, which allows to give a visual feedback to the test engineer about the modeled test logic.
Contact: Avenir Kobetski

Next Generation Electrical Architecture (NGEA)     
Future cars will be green, safe and connected, where functions to a high degree will be implemented in software. With more connected vehicles, viewing the car as a system part of several other systems, new function areas, such as autonomous drive, will add to the complexity of the product and provide new challenges to system safety, integrity and security. SICS leads the system of system (SoS) work in NGEA, with the focus on architectural strategies for dependable and robust systems of connected cars. The work is based on existing state-of-the-art architectures for autonomous systems and practical investigations of the SoS-challenges through use cases implemented on the SICS MOPED platform.
Contact: Avenir Kobetski

MOPED is the Mobile Open Platform for Experimental Design of Cyber-Physical Systems, in the shape of a scale 1:10 model car. It has been used for studying dynamic loading of software onto AUTOSAR nodes, and several student projects. Currently, several aspects of real vehicles and the driving of them in traffic are studied, including the architecture 4D/RCS for autonomous driving. A small road network has been put in place in the SSE lab corridor, where several MOPED cars drive around autonomously, interacting with each other and traffic servers.
Contact: Arndt Jonasson

In the automotive industry, deep learning is considered the most promising solution to realize the image recognition required to allow autonomous driving. However, an autonomous car is a safety-critical system that must comply with the ISO 26262 standard and unfortunately deep learning components bring new challenges. A deep neural network is often represented by hundreds of millions of weighted parameters that distribute information, thus the network can neither be subjected to traditional code reviews or tested comprehensively. How do you then motivate that the system is reasonably safe and thus ready for safety certification? In the SMILE project, we explore these questions with a long-term goal of helping industry develop safety-critical products with deep learning components.      
Contact: Markus Borg

Understanding Driver's Subjective Experiences
The BAuD II project develops a novel technological framework for capture and analysis of both objective measurement data and subjective user experience data for automotive applications. The system under development integrates a telematics system with a smartphone app service architecture and a data-driven analytics framework. The hypothesis is that the framework will improve the opportunities of conducting large scale user trials of automotive functions and services, while improving the quality of collected data. This demonstration shows how the subjective data capture mechanisms can be triggered in real time in order to provide a better understanding of the system under scrutiny.  
Contact: Emmanuel Frécon

Connected Energy
The Connected Energy project aims at establishing a cost-effective mobile-based pilot architecture for measurement in the approx. 140 000 secondary substations around Sweden. The project has deployed 10 pilots in the Stockholm area, and collected data from these pilots for 3 months. This collection has provided an estimate of the amount of data, and exhibited different strategies to ensure operation over longer periods. Using the pilot's costs, the project has been able to provide an initial understanding of the different business models around the monitoring of the power grid.
Contact: Emmanuel Frécon

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 demo, we show how Elasticsearch and Kibana can help data scientists to interactively explore and visualize the Swedish traffic accident dataset (STRADA). This is an important step in the data analytics lifecycle that help data scientists to gain insights into the data and to better understand the limits of the dataset.
Contact: 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


Railway resource optimization
Since more than 15 years, RISE SICS works with a variety of resource optimization problems linked to the railway industry, in close collaboration with the infrastructure manager Trafikverket and railway operators, such as Green Cargo and LKAB,as well as manufacturing and service companies Bombardier and EuroMaint. Processes and methods for timetable planning has been a key area, and the research results now form the basis of the new revolutionary methods to be implemented at Trafikverket. The research about marshalling yard optimization has been used to analyze consequences of large investments, and research about vehicle optimization has improved Green Cargo’s utilization of their locomotives. Other examples of research areas are disturbance analysis, runtime forecasting, strategic analysis of traffic flows, and dynamic pricing of timetable slots.
Contact: Martin Joborn

CO2REOPT is a research project that aims at developing methods and tools for full external transport integration where suppliers, manufacturers and customers share a fully integrated and optimized intermodal supply chain. Two important cross-border case studies are considered: the LKAB iron ore rail transports along the Iron Ore Corridor from the mines in Northern Sweden to the port of Narvik and further to destinations in Europe and Middle East, and the Samskip synchromodal transport services on the corridor between Sweden, Denmark and Samskip’s main hub in Duisburg.
Contact: Jawad ELOMARI


Unified Control of Heterogeneous Networks
Networks of the future will be heterogeneous, adaptive and autonomous, requiring highly programmable infrastructures.  These programmable infrastructures will require the support of improved network observability and control. Our work is aimed at developing probabilistic technology agnostic abstractions of the network state to meet those demands.
Contact: Akhila Rao

FELICIA: Feasibility study of latency-critical connected vehicle applications in MONROE
MONROE (Measuring Mobile Broadband Networks in Europe) is a testbed with hundreds of nodes deployed over Europe. Many of the nodes are mobile on buses, trucks and trains. The FELICIA-project use this testbed to study what network performance connected cars can expect in today’s mobile networks. We here demonstrate how the testbed works and present the ongoing research. Connected cars can make road traffic safer and more efficient, but require the mobile networks to handle time-critical applications and uploads of large data volumes. We study if access to several operators and communication over multiple paths can improve performance and enable new connected vehicle applications today.
Contact:  Henrik Abrahamsson

GreenIoT - An open environmental sensing system for public bodies
The GreenIoT project deploys a testbed of sensors in Uppsala City to measure air quality. The measurements give the municipality a finer grained understanding of the air pollution including particulate matters, which is important for improving green urban development. One goal is to understand how to design such a system to be open and interoperable with equipment and services from different vendors. In the testbed, we are also exploring the use of Information-centric Networking (ICN) for directly accessing sensor readings as named data in the network and building applications on top of the ICN service. We will demonstrate ICN-enabled sensors and an example Android app using the sensor data.
Contact: Bengt Ahlgren

READY - Research Environment for Advancing Low Latency Internet
Latency in the Internet infrastructure is an increasing problem for many applications and services. The overall purpose of the READY distributed research environment is to carry out research with the goal to reduce the overall network latency for media distribution, wireless automation and cloud-based services. The scientific objectives include analysing and understanding the causes of latency, developing new mechanisms, protocols and architectural elements to reduce latency, and evaluating the results using testbeds, simulators and other tools. READY is a collaboration between SICS, Karlstad University and Mälardalen University funded by the Knowledge Foundation in the SIDUS programme.
Contact: Bengt Ahlgren

Network Intelligence @ RISE SICS

What are the capabilities of the next generation networks required to technically enable the vision of IoT? How can data science and machine learning support network programmability, operations and control? Welcome to visit this station and meet the Network.
Intelligence group - here you will get an overview of the latest activities and an opportunity to discuss the grand challenges we are currently addressing in H2020 COHERENT and SSF Time-Critical Clouds!
Contact: Rebecca Steinert

Controller plane management of programmable networks
Programmable networks with logically centralized control have the advantages of flexibility, observability and controllability over the traditional networking architectures. However, scalability and resilience are the two main challenges for the control plane design and management. We propose a novel way towards automated planning, configuration and deployment of the control plane capable of dealing with scalability and resilience in programmable networks.
Contact: Shaoteng Liu

Smart Home

CAEsAR - Making the RPL Routing Protocol Context-Aware
The IETF has already standardized protocols like 6loWPAN  and RPL enabling IoT devices with scarce resources to get an IPv6 address and connect to the Internet. However, in order to utilize the full potential of the future IoT infrastructure and to provide personalized, location-aware, and more generally context-aware services we need additional communication features. First, we need a service discovery mechanism, as we need to know what devices are available in a certain area and what is their current context (e.g., what services they are able to provide, what is their battery status, their geographic position, what operating system are they running, etc.) . Also, we might want to communicate with a set of IoT devices that share the same context - context-based multicast (e.g., we would like to communicate with all the smoke detectors in a given area that have a battery level above 50%). Lastly, IoT applications will be rather data-centric than message centric (i.e., they care about the data itself, and not about how and from whom it is being delivered).

This poster presents a Context-Aware Addressing and Routing scheme for RPL networks (a.k.a., CAEsAR), to efficiently support these above features: service discovery, context-based multicast and data-centric communication.
Contact: Andras Kalmar

Sustainable Open Smart Home Solutions
The vision of the smart home is not a new one. There is a variety of smart services on the market, often built on very different technical platforms. In reality, the smart home, where everything is affordable and works in concert, is not here yet. This issue is addressed by the innovation project Hållbara Öppna Lösningar För Det Smarta Hemmet, coordinated by Swedish ICT, which brings together 25 partners; Municipalities, housing companies and small and large companies. The aim is to create an open common technical platform for services and common business models.
Contact: Pär Hansson

Automation and software testing

MegaM@Rt 2
MegaM@RT: MegaModelling at Runtime Scalable model-based framework for continuous development and runtime validation of complex systems

Electronic systems are becoming more and more complex and software intensive, which calls for modern engineering practices to tackle advances in productivity and quality of these now cyber-physical systems. Model-driven Engineering and related technologies promise significant productivity gains, which have been proven valid in several studies. However, these technologies need to be further developed to scale for real-life industrial projects and provide advantages at runtime. The major challenge in the Model-Driven Engineering of critical software systems is the integration of design and runtime aspects. The system behaviour at runtime has to be matched with the design in order to fully understand the critical situation, failures in design and deviations from requirements. Many methods and tools exist for tracing the execution and performing measurements of runtime properties. However, these methods do not allow the integration with system models - the most suitable level for system engineers for analysis and decision-making.

MegaM@RT 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."   
Contact: Pasqualina Potena

Komplexa tekniska produkter såsom tåg, anläggningsmaskiner och kraftsystem är ofta byggda utifrån komponenter som utvecklas självständigt av underleverantörer. Vanligen testas produktens funktionalitet inte förrän samtliga enheter har integrerats, vilket ofta sker sent i utvecklingsprocessen. Många fel upptäcks därför inte förrän hela produkten är byggd. På grund av detta finns det idag ett behov inom den svenska industrin av tidig och effektiv feldetektering och felprevention på integrationsnivå. IMPRINT för samman tre industriella partners (Bombardier Transportation, Volvo Construction Equipment och ABB Grid Systems HVDC) och två forskningspartners (Mälardalens högskola och SICS Swedish ICT), i ett projekt med fokus på att förbättra integration och testning av heterogena produkter.
Contact: Sahar Tahvili

Testing can today account for about 40-60% of the development cost of software systems. With the digitalization trend and as systems become larger and more complex, the cost of testing also increases. PiiATest focuses on how testing of modern industrial automation systems can be improved. The project particularly targets the critical integration process where system-wide requirements are tested and evaluated. The goal is provide automated integration testing solutions to reduce time and cost for testing and also to enhance knowledge of integration testing in industrial settings. The project is formed as a collaboration between ABB Process Automation and RISE SICS Västerås and funded by PiiA.
Contact: Mehrdad Saadatmand

22 .    
Software Testing Group at RISE SICS Västerås
Recognizing the growing need of industry for better and more efficient software testing solutions to ensure quality of software products, since 2015 a Software Testing Group at RISE SICS Västerås has been established. The group, led by Mehrdad Saadatmand, consists of researchers having versatile and strong expertise and skill sets required to address different aspects of software testing. It has already been very active through several national and international research projects, forming direct collaborations with different industrial partners, offering PhD positions and master thesis works, publishing research articles, and also organizing testing events both in Sweden and internationally.
Contact: Mehrdad Saadatmand

TOCSYC which stands for Testing of Critical System Characteristics is a Swedish distributed research environment dedicated to furthering the knowledge in testing of complex embedded systems. The overall goal of TOCSYC is to enable and support cost-effective testing for critical characteristics in embedded systems by providing new and improved tools and techniques as well as the decision-support procedures necessary to select the right testing tools or techniques for the job. TOCSYC aims to advance research in software testing by developing and combining techniques for model-, search- and mutation-based testing to target performance efficiency and robustness aspects. 
Contact: Mehrdad Saadatmand

PROMPT - web-based courses in software engineering for industry          
Software is a business-critical resource for large parts of Swedish private enterprise and an important source of innovation and competitiveness. In cooperation with academia and industry we are establishing a national education alternative with the aim of guaranteeing the supply of software-related advanced skills and innovative power for Swedish private enterprise. The courses are given in cooperation with the Blekinge Institute of Technology, Chalmers, the University of Gothenburg, Mälardalen University and SICS
Contact: Hans Hansson and Stefan Eck

Projektet Kommunikation och underhåll för den digitala fabriken (Command) kommer dra nytta av ny informations- och kommunikationsteknik samt Internet-of-Things (IoT) för att definiera, utveckla och verifiera lösningar i tre fallstudier med målet att förbättra produktionsverksamhet, service och underhåll. Projektet kommer att använda 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).
Contact: Stig Larsson

FUDIPO – Future Directions of Production Planning and Optimized Energy – and Process Industries.
FUDIPO is a 4-year project (2016-2020) funded by the European Commission under the H2020 programme, which response to SPIRE-02-2016 topic: “Plant-ride monitoring and control of data-intensive processes”. FUDIPO aims to develop an integrated set of methods combining mathematical modelling and simulation to optimize all the processes in a factory or technology from an holistic point of view. FUDIPO will also integrate machine learning functions on a wide scale into several critical process industries, showcasing radical improvements in energy and resource efficiency and increasing the competitiveness of European industry. The project will develop three larger site-wide system demonstrators as well as two small-scale technology demonstrators. FUDIPO consortium includes, Mälardalen University (project coordinator), RISE SICS Västerås, ABB, Mälarenergi, BillerudKorsnäs, Bestwood, Tieto Austria, Fraunhofer ISC-HTL,  Micro Turbine Technology (MTT), IDENER, and Tüpraş.  
Contact: Blerim Emruli

ORION introduces a decision support system to manage trade-offs between functionality, time to market, cost, quality and risk to develop competitive software-intensive system using components and services. This is done with respect to the development of software-intensive systems, and in particular cyber-physical systems. It addresses strategic, tactical, and operational concerns about component or service selection and their integration into a system. We discuss this year, the GRADE canvas, which uses a detailed and common vocabulary to achieve shared understanding of decision components and contextual factors used when making architectural decisions.       
Contact: Efi Papatheocharous

STREAM - The stream of information for smart and efficient automation
STREAM har genom ett antal fallstudier undersökt hur kostnadseffektiva metoder för att analysera och använda de enorma mängder data som genereras från sensorer och mätningar av system och processer påverkar industrin i Sverige. STREAM har påskyndat spridningen av ny teknik som bygger på informationsanalys genom att fokusera på industriell automation och drivsystem. Tre fallstudier gjorda i samarbete med näringslivet har varit en viktig del av projektet. Vi har i projektet konstaterat att den teknik som används för dataanalys kan generaliseras till olika användningsområden men behöver anpassas för varje tillämpning. De metoder som utvecklats i fallstudierna har använts för att bygga upp en verktygslåda. Denna består av en samling programvarukomponenter, en arkitektur för integration av dessa samt en metod för att lösa industriella problem baserat på komponenterna och arkitekturen. Projektet har också beskrivit affärsmodeller för nya tjänster och produkter som görs möjliga genom den nya tekniken. Exempel på dessa tjänster är processövervakning, dynamisk produktionsoptimering, underhållsplanering och energioptimering.
Contact: Markus Bohlin

iRIS – intelligent Risk Identification System for safer mines.
Digitized fire safety inspections under ground. Improve fire safety by analyzing results from earlier inspections. Development of a digitized inspection tool and a knowledge-based research database.
Contact: Joakim Fröberg

OpenModelica – A Free Modeling and Simulation Environment     
OPENMODELICA is an open-source Modelica-based modeling and simulation environment intended for industrial and academic usage. Its long-term development is supported by a non-profit organization – the Open Source Modelica Consortium (OSMC).

The goal with the OpenModelica effort is to create a comprehensive Open Source Modelica modeling, compilation and simulation environment based on free software distributed in binary and source code form for research, teaching, and industrial usage. We invite researchers and students, or any interested developer to participate in the project and cooperate around OpenModelica, tools, and applications.
Contact: Arunkumar Palanisamy

Co-creation, open innovation and intangible assets  
RISE SICS East driver en av Tillväxtverkets digitaliseringspiloter inom programmet ”Digilyft”, i syfte att påskynda digitaliseringen av svenska tillverkningsindustriföretag. Projektet har vi valt att arbeta med öppen innovation, vilken möjliggör att digitaliseringsinsatserna kan utvecklas genom gränsöverskridande samarbeten mellan företag och externa aktörer. I och med att information och innovation i allt större grad genereras utanför den befintliga verksamheten, så växer komplexiteten kring hur immateriella rättigheter och uppkomna värden skall fördelas mellan organisationer, projektmedlemmar eller mellan företag och kunder.
Contact: Martin D. Mileros, martin.d.mileros [at]

PIMM – Pilot for Industrial Mobile Communication in Mining
Improved productivity and efficiency in production is the key for continued leadership in Swedish industry in all production disciplines. The ongoing digital revolution and the ability to incorporate new mobile communication into production systems will further improve competitive advantage for Swedish industry.

The PIMM project, Pilot for Industrial Mobile communication in Mining, will push the limits for state of the art in the combination of new mobile communication technologies and heavy industrial mining environment. The project will also result in business models for involved stakeholders in installation and operation of the infrastructure, gain in productivity, maintenance and safety. Several use cases will be demonstrated, among them automation, supervision and remote control of heavy machinery.
Contact: Björn Löfvendahl, bjorn.lofvendahl [at]

ToolTracker - tracking tool use in workshops          
ToolTracker is a prototype system that explores possibilities in connecting traditional tool organisation panels. Digital tracking of tools in workshop environments can create better control and fewer lost tools, as well as generating useful data on how tools are used. This data can then be used to create new services.
Contact: Stina.Nylander [at]

Data Science and Computer Science

Accountable Data Control and Governance using Blockchains
Centrally managed systems for the provision of web services present a number of privacy concerns for user’s personal data.  Recent advances in distributed and decentralized technologies bring promise for solving these privacy issues, and for enabling trustless systems where web users own and control their online privacy. In this project, we are exploring the usage of Blockchain technology to address these privacy concerns in a fully decentralised system, that is also governed by some levels of trust between its members. Starting as the backbone of Peer-to-Peer (P2P) cryptocurrencies, such as Bitcoin, the Blockchain technology solves the consensus problem in a fully untrusted P2P network, by relying on proof-of-work protocols. A proof-of-work consists at spending great amounts of energy and processing power, by the peers, to solve some rather difficult hash puzzles. The peer that succeeds at finding a solution to the puzzle is accepted by all the network as the leader of that given round. Proof-of-work is clearly very energy exhaustive, and is rather fit for large networks where there is no notion of trust between the peers. In our project, we are working on finding alternatives to proof-of-work that assume some levels of trust between the nodes and that are based on graph theory. Our objective is to improve the efficiency and scalability of the Blockchain management protocol, to serve the scenario of decentralised users privacy management.
Contact: Leila Bahri

Optimization Technology for Optimizing Compilers Unison is a simple, flexible and potentially optimal compiler back-end developed as a collaboration between SICS, KTH and Ericsson. This exhibition shows simple case studies where Unison speeds up the code generated by LLVM (a state-of-the-art compiler) for Hexagon (a mobile digital signal processor) by putting optimization technology to work.
Contact: Roberto Castañeda Lozano

Scheduling Handbollsligan with constraint programming
To create an optimal timetable for the men's top handball league Handbollsligan is a tremendously complex task. There are more ways to do it than there are atoms in the universe, and only one of them is perfect. The trick is to find it!

The top Swedish men's handball league, Handbollsligan, consists of two divisions of seven teams each. Every season, a timetable for 33 periods, subject to a large number of constraints, needs to be constructed. First, two parallel division-level round-robin tournaments are played. Next, one league-level round-robin tournament is played. Finally, the league-level tournament is played again, in reverse order, swapping home and away matches
Contact: Mats.Carlsson [at]

Learning Capacity and Feasibility Regions for Telecom Cloud Services
Predicting the achievable capacity of a cloud infrastructure to deliver services under strict Service-level Agreements (SLAs) is critical for for future service providers. We demonstrate a method and a system for real-time capacity and conformance prediction. The method uses statistical learning to estimate the capacity and the feasibility regions from measurements. We apply the approach to quality assurance, resource scaling, and bottleneck detection. 

Contact: Rolf.Stadler [at]

The Black Arrow programmable accelerator
The upcoming 5G standard is more challenging than previous 3GPP standards since there is a wider range of usage scenarios and an increased pace of standard evolution. At the same time, throughput is up by a large factor while latency is pushed down. The simultaneous demands of increased performance and increased flexibility are a bad fit for todays systems where flexibility is provided by programmable DSPs and performance by fixed function hardware accelerators. We present a programmable accelerator that gives a new and attractive point in this trade off: Most of the performance of a hardware accelerator with most of the flexibility of a DSP. This work is done in cooperation between SICS and Ericsson.      
Contact: Karl-Filip.Faxen [at]


Online ElastMan
Self-trained Proactive Elasticity Manager for Cloud-Based Storage Services
Elastic provisioning (auto-scaling) of Cloud services allocates resources dynamically in response to changes in the workload. It minimizes the service provisioning cost while maintaining the service level objectives (SLOs). OnlineElastMan is a self-trained proactive elasticity manager for Coud-based key-value stores. It automatically trains and evolves itself while serving the workload. Experiments using OnlineElastMan with Cassandra indicate that OnlineElastMan continuously improves its provision accuracy, i.e., minimizing provisioning cost and SLO violations, under various workload patterns.
Contact: Ahmad Al-Shishtawy

40 .    
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

HopsWorks Jupyter Notebooks
Jupyter Notebooks are becoming the de facto interactive computing environment for Big Data Analytics. HopsWorks is a multi-tenant data platform for Hops Hadoop developed at RISE SICS and KTH. To improve our user experience, we are planning to include Jupyter Notebook support in the next release of HopsWorks. In this poster, we explain the architecture and how we extended the Jupyter Notebook to integrate with the security and multi-tenancy models of HopsWorks. We also compare Jupyter Notebook with the currently supported Zeppelin Notebook.           
Contact: Ahmad Al-Shishtawy

Dela - Sharing Large Datasets between Hadoop Clusters
Dela enables the discovery and downloading of huge datasets to Hops Hadoop clusters.  Dela is a peer-to-peer service that is designed for large-scale storage backends and data transfers that are both non-intrusive to existing TCP network traffic and provide higher network throughput than TCP on high latency, high bandwidth network links, such as transatlantic network links. Dela supports both Apache Kafka and HDFS as storage backends. There are four main factors holding back AI: Compute, Data, Algorithms, and Infrastructure. Dela is a system we are building at SICS and KTH to attack the Data and Infrastructure challenges for Deep Learning.       

Hopsworks - Hadoop for Humans
Hopsworks is a new project-based multi-tenancy model for Hadoop, built on Hops Hadoop, and provided as a service for Swedish researchers and industry as SICS ICE in Luleå ( Hopsworks makes Hadoop easier to use by introducing new concepts to ease collaboration and data sharing: datasets are first-class entities that are stored in projects, while projects contain both datasets and users. Hopsworks provides support UI support for Spark, Flink, and Tensorflow as data processing services, and HopsFS and Kafka as storage and messaging services, respectively.   

HopsFS - Breaking the 1m ops/sec barrier in Hadoop
Hops is a new distribution of Hadoop, Hops, that can scale the Hadoop Filesystem (HDFS) by 16X, from 70K ops/s to 1.2 million ops/s on Spotify's industrial Hadoop workload. Hops is an open-source distribution of Apache Hadoop that supports distributed metadata for HDFS (HopsFS) and the ResourceManager in Apache YARN. HopsFS is the first production-grade distributed hierarchical filesystem to store its metadata normalized in an in-memory, shared nothing database. For YARN, we will discuss optimizations that enable 2X throughput increases for the Capacity scheduler, enabling scalability to clusters with >20K nodes. We will discuss the journey of how we reached this milestone, discussing some of the challenges involved in efficiently and safely mapping hierarchical filesystem metadata state and operations onto a shared-nothing, in-memory database. We will also discuss the key database features needed for extreme scaling, such as multi-partition transactions, partition-pruned index scans, distribution-aware transactions, and the streaming changelog API. Hops ( is Apache-licensed open-source and supports a pluggable database backend for distributed metadata, although it currently only support MySQL Cluster as a backend. Hops opens up the potential for new directions for Hadoop when metadata is available for tinkering in a mature relational database.  

Size Matters.  Small files in HopsFS.
HDFS is inefficient in its management of small files, but small files can make up a large percentage of the total files in any Hadoop cluster (at Spotify 20% of the files are under 1KB in size - in a 90 PB cluster!). Up to now applications and frameworks have been designed to work around the small files limitations of HDFS. Not any more. HopsFS is adding support for storing small files colocated with metadata in a distributed database backend. That is, we are storing the data blocks for small files as on-disk columns in MySQL Cluster alongside the inodes’ metadata (in-memory). Our prototype shows greater than an order-of-magnitude improvement in write throughput for small files and significant performance improvements for reads.

COLA - Cloud Orchestration and the Level of Application
SMEs and public sector organizations increasingly investigate the possibilities to use cloud computing services in their everyday business conduct. Accessing services and resources in the cloud on-demand and in a flexible and elastic way could result in significant cost savings due to more efficient and convenient resource utilization that also replaces large investment costs with long term operational costs. On the other hand, the take up of cloud computing by SMEs and the public sector is still relatively low due to limited application-level flexibility and also security concerns. The Cloud Orchestration at the Level of Application (COLA) project aims to increase the adoption of cloud computing services by the above mentioned two strategic target communities. Typical industry and public sector applications require resource scalability and efficient resource utilization in order to serve a variable number of customers with dynamic resource demands, and to suitably optimize resource consumption and costs. However, the dynamic and intelligent utilization of cloud infrastructure resources from the perspective of cloud applications is not trivial. Although there have been several efforts to support the intelligent and coordinated deployment, and to a smaller extent also the run-time orchestration of cloud applications, no comprehensive solution has emerged until now that could be applied in large scale near operational level industry trials. 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, and will also define a clear pathway how the innovation can be delivered to the market.
Contact: Nicolae Paladi

In the 5th generation of mobile networks, it will be inefficient to handle the massive influx of IoT devices with the current AKA (Authentication and Key Agreement) mechanism. In the context of the EU-project 5GEnsure, SICS has developed a group-based AKA protocol to address this issue. In short, the protocol works by deriving authentication parameters, belonging to different members of a group of IoT devices, from a root value, so that only the root value needs to be sent from the group's home network to the roaming network. Analysis of the protocol shows that the signaling load and attach latency are significantly reduced when massive amounts of IoT devices attach.   
Contact: Nicolae Paladi

Smart Flows
The Smart Flows project will combine the results of machine learning with industrial IoT and Cloud technologies in order to enable making automated predictions of the heat flow in the distribution network, including demand, propagation, delay and losses. Smart Flows will make use of IoT and cloud technologies in order to dynamically manage historical data and add new real-time data sources from automation systems as well as non-traditional sources such as IT billing systems. The primary case to use for developing and validating the concepts in the project is related to district heat production and distribution from the combined heat and power plant in Västerås.         
Contact: Kristian Sandström

RISE Data Science Initiative
RISE Data Science is a national RISE initiative aiming to drive the development of new, smart, data-driven products and smart automation in R&D projects with partners in all industrial sectors. Led by RISE SICS, the initiative gathers relevant expertise and resources from all parts of RISE, to work together with our partners from industry, society and academia at the forefront of this ongoing data-driven paradigm shift.
Contact: Åsa Rudström

Data for Innovation   

Data for Innovation is a part of the initiative RISE Data Science that aim to make industrial and other data sets available for researchers and innovators.  Data can be shared or hosted at the data center SICS ICE. Data for Innovation is also connected to the international efforts at the Big Data Value Association (BDVA) and Industrial Data Space (IDS) led by Fraunhofer in Germany.  
Contact: Björn Hovstadius

Streamline - analytics for data at rest and in motion

STREAMLINE is a H2020 project that will address the fundamental research problems related to scalability and analytics capabilities. STREAMLINE is building on Apache Flink, a state-of-the-art scalable data analysis platform. It will develop an architecture that can simultaneously cope with both “data at rest” and “data in motion”. It will also be designing and implementing a data-stream oriented machine learning library. Partners in the STREAMLINE project are RISE SICS together with DFKI, Sztaki, Rovio, Altice Labs and Internet Memory Research.
Contact: Björn Hovstadius

Gelly-Stream: Intuitive Single-Pass and Iterative Graph Processing on Unbounded Data
We present Gelly-Stream, a framework for  low-latency, continuous graph processing on Apache Flink. Gelly-Stream offers an intuitive API and a library of common graph algorithms. Through its  single-pass  programming  model,  the  framework  allows for   declaring  computational  graph  pipelines that build graph summaries from edge mutation streams. Users can  declare  summaries  using  Flink’s  managed  state  to  guarantee  strong consistency.  To  enable deeper, iterative graph analytics, Gelly-Stream provides support for vertex-centric structured iterations on edge stream windows (graph snapshots), thus, fully complimenting the general needs for continuous graph processing.           
Contact: Paris Carbone

Big Data Analytics
The goal of the BIDAF project is to significantly further the research within massive data analytics, by means of statistical machine learning, in response to the increased demands for reading value from data in all of society. The project is a five year project run by SICS together with Halmstad University and Skövde University, and funded by KKS. We will show examples of the research activities in the project, which includes:
* Algorithm and platform support for massive and streaming data.
* Methods for data fusion and clustering
* Deriving causal effects from data
* Finding higher order structures in data.
* Visualization and high level interaction.
 Contact person: Anders Holst

Deep Neural Nets and Time Series
With machine learning, computers can be trained to detect patterns in large data sets that are difficult for a human to spot or explain.  For instance, there is some correlation between the pixels in an image and a bit that is 1 if there is a cat on the picture and 0 if there is no cat.  But what is the formula for this correlation? Or what is the correlation between a sequence of sound wave amplitudes and the fact that a voice that speaks i.e. English with a Scottish dialect? Machine learning can in many cases arrive at an approximate formula without having a domain specific prior model. We apply machine learning methods to model the traffic patterns that occur in mobile radio networks to quicker and better test how to handle new or disruptive traffic types.
Contact: Lars Rasmusson

Societal data mining explored: Finding jobs in public data
Applying machine learning on societal data is still largely unexplored. This is especially of interest in Sweden, where there is an abundance of untapped public data. In this pilot study we explore the particular case of mining an organisation register, spanning all employers in Sweden, to aid job-seekers finding potential employers using new data-driven recruitment services. To this end we employ text analysis to identify similar employers based on their provided descriptions. Initial tests indicate that this machine learning approach results in both more fine grained and more flexible classifications of employers compared to the ad hoc and rigid classification predominantly used today. 

PaaSword – A Holistic Data Privacy and Security by Design Platform-as-a Service Framework
PaaSword offers a security by design framework enabling security annotations, transparently in your IDE, transformed into context-aware security policies that enforce access control, cryptographic protection and physical distribution (via privacy constraints) for securing sensitive data. PaaSword provides encrypted storage and context-aware access control for Platform-as-a-Service.

PaaSword is a Horizon 2020 project with ten partners from industry and academia. By maximizing the trust of individuals and corporate customers in the cloud, it is expected to enable European enterprises to unlock valuable business, economic and operational benefits.         
Contact: Tobias Andersson


RISE SICS Security Lab (SEC)

We can say that we pay a price for technological innovation by creating new security concerns as new attacks surfaces are introduced. The threats increase as the systems become more distributed and as devices and networks with varying levels of security protections frequently participate in the same processes. Hence, there is an urgent need to address these security concerns and we see increased global secure computing research efforts.

RISE SICS addresses many of these security issues at the Security Lab, primarily working with platform and network security issues. The Security Lab at SICS consists of 18 people. Our core research areas, expertise, and the ongoing projects are presented at RISE SICS Open House and listed below.

Privacy is increasingly important in a data driven society. Protecting privacy is not about the absence of surveillance, but an understanding of the context in which information is shared and used. RISE SICS works with identifying mechanisms for increasing trust for processing of personal data, mechanisms for creating internal awareness for how data is used, and getting companies to play a more proactive role in taking a responsibility for data collection.

IoT security
RISE SICS is at the forefront of IoT security in Europe. We work primarily on resource-constrained IoT, looking into aspects such as access control, lightweight security protocols, intrusion detection, management and distribution of cryptographic keys, Denial of Service attacks, and interconnection of IoT and cloud infrastructures. RISE SICS is leading the IoT security standardization work at the IETF.

5G security
We are active in shaping the security of the 5th generation of mobile telecommunication. RISE SICS conducts research on platform security and trust establishment for Software Defined Network infrastructure, as well as on novel authentication, authorization, and accounting protocols.

Cloud security
RISE SICS has several years of experience in various aspects of cloud security -  based both on its experience in separation, isolation and trust on computation platforms, as well as on its growing expertise in data protection and searchable secure storage.

Software security / virtualization
We have a strong background in secure virtualization on embedded systems, trusted computing, and SGX. In particular, RISE SICS developed its own open-source hypervisor for ARM. We also are involved in the formal verification of that hypervisor and supported the preparation for a potential Common Criteria certification of related products.

Blockchain is one of the priority topics for RISE SICS. We are doing research in the Blockchain and IoT, lightweight crypto, open source lightweight APIs for Blockchain, and novel applications of the blockchain technology.
Contact: Thomas Carnehult

Platform Security at RISE SICS: how to keep critical software separated from potentially malicious environments    
Whether you want to use your mobile for both business and leisure, do online banking, or process confidential data in the cloud, malicious characters may take an interest in your data. It is thus always a good idea to isolate critical software and data from the environment, such as a vulnerable OS or a curious service provider.

At RISE SICS we use trusted execution environments to ensure such isolation in various settings. This poster provides an overview of related activities in several projects (SECONDS, PROSPER, HASPOC, 5G-ENSURE, COLA, EMC2), with enablers ranging from an in-house hypervisor via TrustZone and trusted computing to new hardware features such as Intel SGX.
Contact: Oliver Schwarz

Eurostars SecureIoT: Certificate-based Security for Resource-constrained IoT      
While the concept of IoT and its application systems are approaching commercialization and some even spread out in the market already, these systems are yet less considerable to the security vulnerabilities that can occur. Given that IoT systems are designed to monitor and capture various aspects of our everyday lives in micro-scale, this lack of security considerations can lead to significant problems as more and more IoT systems become prevalent. Through this project, we target to offer the much needed but currently missing IoT security products and services primarily to the Swedish and South Korean IoT markets and generally expand the outcomes of the projects to the global IoT market as well.

As results of the project we plan to (1) Enable automatic initial certificate enrollment with lightweight certificates and lightweight certificate revocation in the battery-powered IoT devices. (2) integrate IoT enrollment protocols with communication security protocols such as Datagram TLS (DTLS) and Internet Key Exchange (IKE), (3) develop a secure IoT gateway that is able to support contemporary IoT security protocols as well as legacy protocols to support existing deployment such as industrial sensor networks, and (4) perform validations of the designed protocols with two real IoT pilot deployments.
Contact: Shahid Raza

Highly-Scalable Key Management for Group Communication in the IoT
Group communication is typically secured by sharing a group key among group members. A key management protocol is needed to securely renew the group key upon joining and leaving of group members. We developed a highly scalable and efficient group rekeying protocol suitable for IoT devices. The protocol organizes group members into logical subgroups and leverages member join history to rekey the group with a number of messages which is small, constant and independent of the group size. Also, it efficiently recovers the group from collusion attacks. We implemented the protocol in Contiki and evaluated its performance as to memory, communication and energy overhead, and total rekeying time.
Contact: Kiki Rizki

Secure Bootstrapping and Key Distribution over CoAP/LWM2M
Management of cryptographic keys and establishment of secure channels are vital requirements in IoT systems. This work presents a method to enable secure initialization of IoT units, as well as efficient and scalable distribution of cryptographic keys. It support devices from initial bootstrapping, registration to a management server and establishment of peer-to-peer key material. New IoT devices joining the network have a simple and secure process for accomplishing this and establishing a secure channel with each other. The work presented here is part of the EIT Digital HII ACTIVE project which aims to create a middleware platform supporting IoT developers.
Contact: Rikard Höglund

Adaptive Counteraction Against Denial of Service Attack
Devices in the Internet of Things are directly connected to the Internet and especially exposed to Denial of Service (DoS) attacks, which can make them less reactive or even unable to serve legitimate requests. We developed a context-aware - cross-layer - adaptive approach to counteract DoS attacks, by dynamically adjusting the operative state of server devices. This limits the impact of DoS attacks and preserves service availability to the best possible extent. The proposed approach leverages a trusted Proxy that adaptively shields victim devices, while forwarding/caching requests if needed. We provide a proof-of-concept implementation for the Californium framework and the CoAP protocol.           
Contact: Syafiq Al Atiiq

OSCOAP - Object Security for Constrained Devices and IoT
Contact Martin Gunnarsson

Multicast OSCOAP - Object Security for Group Communication in the IoT 
Many IoT scenarios rely on the standard application protocol CoAP, and use multicast message delivery to enable group communication. This has the advantage to address multiple devices at once, with benefits in terms of impact on performance and network lifetime. RISE SICS and Ericsson have been working on an IETF proposal to provide end-to-end protection of CoAP messages exchanged in a group communication context. The proposed approach relies on Object Security of CoAP (OSCOAP), an extension for CoAP developed by the same partners that provides end-to-end security between two network nodes. All security requirements of OSCOAP are preserved, including source authentication of group messages.   
Contact: Marco Tiloca

Internet of Things

Sparrow - IoT Device Development made Easy!
Sparrow is the name of Yanzi Networks application layer used in all of their IoT devices. SICS and Yanzi have together released a Contiki-based Sparrow implementation as open-source so that anyone can develop their own Sparrow based devices. Using Sparrow you will get a lot of advanced features for free such as device discovery, sensor data formats, over the air reprogramming of device and a proven technology base. This demo will show the feature set of Sparrow in action in several real IoT devices and some DIY boards.
Contact: Joakim Eriksson

Smart Condition Assessment, Surveillance and Management of Critical Bridges  
Bridges with known deficiencies often need to be kept in service due to a critical role in a heavy loaded transport infrastructure. Closing or traffic diversions are often judged unacceptable. The current project is aimed at critical bridges with known deficiencies with the purpose of securing the functionality and the safety using an innovative smart system for monitoring and condition assessment. The overall aim is to develop an integrated system for monitoring, condition assessment and decision support for critical bridges. The project is a collaboration with KTH and Uppsala University. SICS focus lies mainly on novel methods for improving energy efficiency of the sensor system.
Contact: Niklas Wirström

Nobel Grid: smart home demand response
Europe and the rest of the world share common goals towards energy efficiency and sustainability. To achieve these goals, more renewable energy must be used. Since solar and wind power can vary rapidly, the need to quickly control the consumption increases.

The poster presents some of the project’s objectives, challenges and solutions. The associated LWM2M demo shows how end user power consumption can be controlled, using secure standard internet protocols.
Contact: Joel Höglund

IoT Standards: LWM2M Explained
"Finally there are standards for Internet of Things being finalized and used. One of them is LWM2M - LightWeight Machine to Machine designed by Open Mobile Alliance, OMA. The standard was recently released as version 1.0, but it has been developed during the last five years. LWM2M is becoming widely implemented and used in both devices and cloud servers. We will explain what LWM2M is, where it fits best, what tools and implementations are available and illustrate its features with some demos.
Contact: Joakim Eriksson

Openthread vs. Contiki IPv6: An Experimental Evaluation  
Recently the Thread group released the specification of Thread, a low-power IPv6 communication stack for connected homes. An open source implementation – OpenThread released by Nest – is available.

In this Master's thesis, we compare the performance of OpenThread to that of the Contiki operating system’s current low-power IPv6 stack. For this purpose, we integrate OpenThread in Contiki, and conduct experiments in a testbed of IoT devices, measuring latency, throughput, energy-efficiency, and scalability.

This poster highlights the differences of the two stacks, and presents preliminary results of the experimental evaluation.
Contact: Christoph Ellmer

Intra-body Communication and Sensing
We show that the human body can act as a medium for the transmission of electromagnetic waves. We present measurements in simulation as well as phantom and ex-vivo measurements that show that the fat layer is well suited for communication within the body making it possible to perform in-body communication. Moreover, we also expect that the changing communication characteristics can be used for sensing, for example, to identify tumor relapses.

Do LoRa Low-Power Wide-Area Networks Scale?   
New IoT technologies such as LoRa are emerging which enable power efficient wireless communication over long distances. Since a wide area is covered many nodes share the communication medium. LoRa provides a set of communication options. Many options provide simultaneous collision free communications. Nevertheless, there is a limit regarding the number of transmitters a LoRa system can support. We investigated the capacity limits of LoRa. We show that a typical smart city deployment can support less than 100 nodes per 3.8 hectare, which is not sufficient for future IoT deployments. LoRa networks can scale well, however, if they use dynamic communication parameter selection and/or multiple sinks.
Contact: Thiemo Voigt

Communicating hundreds of meters at microwatts of power consumption           
There has been increasing interest to enable low-power wide area networks with standards like SigFox, LoRa and NB-IOT increasingly becoming popular.  A central feature of application conceived using these standards is that they communicate hundreds (or even thousands) of meters to a central base station. These standards use radios whose peak power consumption is of the order of tens of milliwatts which is often restrictive for many applications, as it might involve frequent exchanging of batteries or even make some applications difficult where the sensors might be at hard to reach places, for example, embedded in the infrastructure. We present a novel backscatter enabled sensor and reader which enables us to communicate to very large distances (unto a kilometre) while consuming tens of microwatts (70 microwatts) of power.  Such capability enables many applications earlier considered difficult or even impossible with the existing long-range radio technologies.

We demo a sensor device transmitting to distances of hundreds of meters while operating on energy harvested from small solar cell operating under indoor illumination.
Contact: Ambuj Varshney

UAV competition!

Dronecenter Sweden - Testbed for Autonomous Systems in Västervik     
Drone Center Sweden (DCS) is a four-year testbed project for unmanned aerial vehicles (drones) with a focus on environmental and agricultural applications. The project is sponsored by VINNOVA. The purpose is to develop a safe infrastructure where e.g. research, testing, certification, education, marketing, and delivery control for drones can be made. The testbed will also be used for development of sensor systems and data fusion for applications where drones can be used. 
Contact: Martin Holmberg

Future Living

CityFiction: A vision of Stockholm in 2040
How will the ongoing digitisation affect the way we live and work in the future? What new opportunities but also problems will technological development bring about? We present a Design Fiction created together with Stockholm City Municipality exploring such issues. Through a series of workshops together with stakeholders from various city departments we explored possible futures for Stocholm. These were later curated and condensed into a fictional “Welcome to the Stockholm” brochure from 2040. The brochure provides a vision of a possible future Stockholm intended to provide inspiration and spur discussion about the future of the city.        
Contact: Jarmo Laaksolahti

Engaging Privacy
Engaging Privacy is an initiative for actors in the ICT arena in Sweden seeking to become more proactive in issues regarding privacy Privacy is increasingly important in a data driven society. Protecting privacy is not about the absence of surveillance, but an understanding of the context in which information is shared and used. RISE SICS works with identifying mechanisms for increasing trust for processing of personal data, mechanisms for creating internal awareness for how data is used, and getting companies to play a more proactive role in taking a responsibility for data collection.    
Contact: Jacob Dexe

Sustainability at SICS            
Contact: Magnus Bohman


A Secure IoT Architecture for E-Healthcare  
This poster presents our secure IoT architecture for the E-care@Home project. Our system comprises standard, state-of-the-art communication and security protocols, including low-power IPv6 networking with RPL routing, reliable communication with the TSCH protocol (IEEE 802.15.4e), end-to-end DTLS encryption, an LWM2M-based application layer, and sensors for health monitoring. Using this architecture, we gather data from elderly patients and their surrounding environment, and deliver it to high-level data processing and storage components developed together with our project partners, Örebro University and Mälardalen University.
Contact: Nicolas Tsiftes

Stockholm digital care           
Stockholm Digital Care is a five-year EU project aimed to create growth for small and medium-sized enterprises in the Stockholm region who work with welfare technology. With a wider range of welfare technology specifically designed for the elderly, the project at the same time will contribute to an independent life and well-being for the elderly who live at home. Stockholm Digital Care is the interlinking party between entrepreneurs and public sector who needs to get closer and talk the same language to get a good deal for both sides. Within the project we have a development arena, we test products and offers a toolbox, all aimed to shorten the time to market. Partners in the project: RISE SICS AB, Stockholm City, Huddinge and Nacka Municipality. County of Stockholm County (KSL) Stockholm County Council (SLL)
Contact: Malin Edlund Fransson

KOL 3 
COPD, Chronic Respiratory Insufficiency, (KOL in Swedish) is a lung disease causing severe suffering for the patient. 700 000 people suffer from the disease in Sweden and it is very costly for Swedish society: In this project, all aspects of a telemedicine solution – practical, technical, economical, legal and patient related – are taken into account. An open standard solution is developed together with 22 partners and the solution can also be used for other chronical diseases. The solution is trialed at 4 clinics around Sweden. Just now more than 15 COPD patients are invoved. They are measuring different parameters at home using a tablet. The values are sent to a health operator which also can contact the patient by video. Physical exercises can be performed at home and can be controled by a physiotherapist over the network.         
Contact: P-O Sjöberg

The ENSAFE project aims to develop ICT solutions which meet some of the societal challenges posed by an ageing population. The specific objective of the project is to create elderly-oriented, network-based services aimed at fostering independent life. The service vision is built upon a layer of existing technologies, encompassing mobile communication, environmental sensing, and clinical monitoring. Data from different devices (raw information about user activity and health status) will be gathered at a supervision level, and analysed to infer information meaningful to a health/wellness assessment, enabling feedback strategies targeted at different end-user groups.     
Contact: Paul Martin

Personalized digital self-management services for cognitive assessment and rehabilitation
The project is developing a digital cognitive assessment and intervention service for people experiencing cognitive decline. The service provides solutions for everyday life problems based on cognitive rehabilitation techniques. It teaches compensatory strategies, such as memory strategies, that are known from recent research to have larger effects on everyday living than cognitive remediation.
Contact: Olov Ståhl

Our research on digital inclusion has resulted in a variety of tools for making texts easier to understand, including an automatic text summarizer, adding synonyms to texts, automatic text simplification, syntactic and lexical simplification, and a number of measures of text complexity. In the project DigInclude we developed a web service that integrated all these tools and made them easily available for writers of text; writers who want to make texts easier to understand. The service can also be used by end users, i.e. anyone wanting to make a text easier to comprehend.        

Dementia Risk Tool Application
The “Dementia Risk Tool” mobile app is a self-assessment tool that allows people to get an estimate of their risk of developing Alzheimer’s and dementia within the next twenty years. The app poses a series of questions, concerning their lifestyle and medical condition, and then calculates a risk score for developing cognitive impairment on the answers. As a result the app also indicates which plausible factors that users can consider addressing in order to lower the score, e.g., increase their physical activity. Some of these indications may require substantial life style changes that is best discussed together with a doctor, and the role of the app is to help facilitate this first step. Furthermore, the app is based on various dementia risk score models developed within the scope of the project, as well as previously existing verified models.
Contact: Mattias Jacobsson

Interaction Design

Digitalization of Fashion-Design Education
In this project RISE-ICT/SICS and Stockholm University have worked in close collaboration between University of Borås - The Swedish School of Textiles, to develop new digital tools for e-learning and education in the fashion area as part of the Mobile-Life Fashion project. The goal is to give broad access to tools that can assist in fashion design – and at the same time give students a substantial fashion oriented vocabulary that enables students to properly communicate and articulate their design decisions. Our first tool is oriented around colour and colour theory where students get to explore classical “rules” and features in relation to their own designs, and get suggestions for how to explore entirely new fashion compositions by exploring these rules in a creative way. Moreover, students can also analyse their own designs to see how their “own” choices and rules relate to the classical ones.
Contact: Mattias Jacobsson

Soma Mat & Breathing Light
In the Soma project we have developed and designed two prototypes, the Soma Mat and the Breathing Light. The aim with these two prototypes is to increase people’s body awareness by directing their attention to different body parts and how they breathe by the use of technology. Different parts of the soma mat heat up following an audio script telling you to direct your attention to a specific part of your body. This gently guides your attention and reinforces the awareness of different parts of your body. The Soma Light uses a sensor to mirror your specific breathing pattern by dimming in and out in cadence with your breathing. This makes you aware of your own breathing the pattern as well as where your breathing takes place, which is at the core in many body awareness exercises.  The use and effect of these prototypes have been studied for three months in people's home. Our study participants even want to keep the prototypes!     
Contact: Anna Ståhl

The SomaVest - As part of my master thesis in the Interactive Media Design Master’s Program at Södertörns University I have designed the SomaVest in co-operation with RISESICS, as a somaesthetic experience for people living with chronic pain. Extending from previous research with the SomaMat this project have focused on heat and body awareness by taking existing technology and brought it into a new context and a new design. The aim is to direct the user’s attention inwards through guided meditation and heat impulses activated on different body parts. The heat impulses follow a audio script telling the user to direct attention to different body parts and together with breathing exercises it reinforce the bodily experience. The SomaVest helps the user to shift focus from their pain and gives the opportunity to change the perception of pain by getting immersed in a somaesthetic experience.
Contact: Anna Ståhl

Presenting the Interaction Design group at CSL       
The IxD Group explores possible future visions based on a user centered and design thinking perspective. They have a qualitative approach where the specific combination of methods used is determined by the situation. The digitalization of society and the internet of things make our everyday lives more and more connected.  By exploring design opportunities such as materiality, experience and technology offered by this development, we can actively participate in and shape society's view of digitalization and human existence in a connected world.    
Contact: Elsa Kosmack Vaara

Virtual Reality and Augmented Reality

Handcode: VR training in processing industry          
Preparation and education of personnel prior to the restructuring of the production in a factory can be both time consuming and expensive. Could training in virtual reality (VR) be a solution for making the process safer and cheaper?

Repairs and maintenance is another important area. We have investigated how augmented reality (AR) together with remote guidance ensures access to experts in organisations with dispersed operations.
Contact: Jonas Söderberg

The INCODE project aims to provide and disseminate comprehensive knowledge of how AR, VR and Smart Sounds can be used and combined in order to improve quality, safety, efficiency and work environment for the process industry and its suppliers.
Contact: Stig Larsson

Swedish process industry needs to act to be in the forefront of development to keep and increase our international competitiveness. Process industry needs to apply and integrate new technologies developed for other domains where they can make a difference. This project developed a prototype based on Microsoft HoloLens to augment process related information on top of the real equipment. This technology can enable an operator, or person in the field to reach the digital information, which today usually is only found in the control room, within the plant and close to where the equipment is located.  
Contact: Elina Vartiainen

Wednesday, May 17, 2017, 08:30
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