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Gothenburg, Sweden

Viktoria Swedish ICT was founded in 1997 at the initiative of the local industry in West Sweden. The task is to perform research and development in applied information technology in collaboration with industry, the public sector, and academic institutions. The goal is to help Swedish automotive and transport industry achieve sustainable development and growth.Viktoria works for making sure that research results and IT applications are disseminated rapidly, come to practical use and contribute to sustainable development of products, services, business and companies. All research projects are funded through competitive applications to, for example, The Swedish Foundation for Strategic Research, Swedish Agency for Innovation Systems, The Knowledge Foundation, The Swedish Research Institute for Information Technology and the EU. This has resulted in high-quality research and a very good reputation of the institute in Sweden and internationally.By working closely with industry partners, Viktoria will develop user oriented, innovative services, which will have the advantage of being commercially well packaged from the very beginning. Indeed, Viktoria will play the role as supplier of specifications, as well as inspirational source to the companies developing platforms and services. In this way, Viktoria will provide a neutral arena for experimenting with and negotiating innovative solutions.Today, about 50 people work at Viktoria. Viktoria is structured into five main application areas and two competence centers: Cooperative Systems, Digitalization Strategy, Electromobility, Sustainable Business and Sustainable Transports. Each research area is managed by a senior researcher .The Automotive competence area covers applied research with industry actors targeting IT applications and services that are based, or partly based, on in-vehicle computing and communication platforms. Examples of application areas include active safety, diagnostics or remote diagnostics, and nomadic device integration.The transport competence area covers applied research with industry actors targeting IT applications that support transportation practices. Utilizing mobile devices embedded in vehicles or held by users, open accessible sensor-data, and stationary systems placed in the infrastructure, three examples of IT application areas in the road transport industry are transport management, intelligent transports for people and goods, and remote vehicle diagnostics. Wikipedia.


Murgovski N.,Gothenburg University | Johannesson L.,Gothenburg University | Johannesson L.,Viktoria Institute | Sjoberg J.,Gothenburg University | Egardt B.,Gothenburg University
Mechatronics | Year: 2012

This paper presents a novel convex modeling approach which allows for a simultaneous optimization of battery size and energy management of a plug-in hybrid powertrain by solving a semidefinite convex problem. The studied powertrain belongs to a city bus which is driven along a perfectly known bus line with fixed charging infrastructure. The purpose of the paper is to present the convexifying methodology and validate the necessary approximations by comparing with results obtained by Dynamic Programming when using the original nonlinear, non-convex, mixed-integer models. The comparison clearly shows the importance of the gear and engine on/off decisions, and it also shows that the convex optimization and Dynamic Programming point toward similar battery size and operating cost when the same gear and engine on/off heuristics are used. The main conclusion in the paper is that due to the low computation time, the convex modeling approach enables optimization of problems with two or more state variables, e.g. allowing for thermal models of the components; or to include more sizing variables, e.g. sizing of the engine and the electric machine simultaneously. © 2011 Elsevier Ltd. All rights reserved. Source


Yoo Y.,Temple University | Henfridsson O.,Viktoria Institute | Henfridsson O.,University of Oslo | Lyytinen K.,Case Western Reserve University
Information Systems Research | Year: 2010

In this essay, we argue that pervasive digitization gives birth to a new type of product architecture: the layered modular architecture. The layered modular architecture extends the modular architecture of physical products by incorporating four loosely coupled layers of devices, networks, services, and contents created by digital technology. We posit that this new architecture instigates profound changes in the ways that firms organize for innovation in the future. We develop (1) a conceptual framework to describe the emerging organizing logic of digital innovation and (2) an information systems research agenda for digital strategy and the creation and management of corporate information technology infrastructures. © 2010 INFORMS. Source


Selander L.,Viktoria Institute | Henfridsson O.,Chalmers University of Technology
Information Systems Journal | Year: 2012

In this paper, we examine the process by which user cynicism emerges and is constituted as part of resistance in information technology (IT) implementation. We ground our process perspective in the received user resistance literature by linking cynicism to users' projections of the system's future use. Rather than attributing cynicism to perceived threats, however, we see user cynicism as cognitively distanced resistance that manifests as a perception of seeing through the espoused goals of the implementers. Based on a process analysis of a customer relationship management implementation at a customer service centre, the paper extends the user resistance model proposed by Lapointe and Rivard by identifying three dimensions of user cynicism in IT implementation. It also shows how cynicism, as a form of passive resistance, easily escalates and feeds new forms of resistance. Lastly, we introduce the cynicism literature as a new reference theory for the Information Systems (IS) audience. © 2011 Blackwell Publishing Ltd. Source


Goldkuhl G.,Linkoping University | Goldkuhl G.,University of Stockholm | Lind M.,Viktoria Institute | Lind M.,University of Boras
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010

There has been a growing interest in the philosophy and constituents of design research by a vast amount of IS-scholars. There are several unresolved concerns and issues in design research (DR). Some examples are the outcomes of design research, the role of theorizing in DR, how to conduct evaluation and validation, and the need for different grounding processes to generate valid knowledge from design research endeavors. This paper describes a multi-grounded approach for design research; consisting of three types of grounding processes (theoretical, empirical and internal grounding). The purpose is to investigate DR-based design knowledge and its roles during design research and design practice. A key feature in this approach is the division between the meta-design (within design research) producing abstract design knowledge and the empirical design practice producing situational knowledge and artefacts. The multi-grounding approach to design research will be illustrated by the support of two design cases. © 2010 Springer-Verlag. Source


Englund C.,Viktoria Institute | Verikas A.,Halmstad University | Verikas A.,Kaunas University of Technology
Expert Systems with Applications | Year: 2012

A data proximity matrix is an important information source in random forests (RF) based data mining, including data clustering, visualization, outlier detection, substitution of missing values, and finding mislabeled data samples. A novel approach to estimate proximity is proposed in this work. The approach is based on measuring distance between two terminal nodes in a decision tree. To assess the consistency (quality) of data proximity estimate, we suggest using the proximity matrix as a kernel matrix in a support vector machine (SVM), under the assumption that a matrix of higher quality leads to higher classification accuracy. It is experimentally shown that the proposed approach improves the proximity estimate, especially when RF is made of a small number of trees. It is also demonstrated that, for some tasks, an SVM exploiting the suggested proximity matrix based kernel, outperforms an SVM based on a standard radial basis function kernel and the standard proximity matrix based kernel. © 2012 Elsevier Ltd. All rights reserved. Source

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