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  • 7101.
    Zhao, Jing
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Henriksson, Aron
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Boström, Henrik
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Detecting Adverse Drug Events Using Concept Hierarchies of Clinical Codes2014Ingår i: 2014 IEEE International Conference on Healthcare Informatics: Proceedings, IEEE Computer Society, 2014, 285-293 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    Electronic health records (EHRs) provide a potentially valuable source of information for pharmacovigilance. However, adverse drug events (ADEs), which can be encoded in EHRs with specific diagnosis codes, are heavily under-reported. To provide more accurate estimates for drug safety surveillance, machine learning systems that are able to detect ADEs could be used to identify and suggest missing ADE-specific diagnosis codes. A fundamental consideration when building such systems is how to represent the EHR data to allow for accurate predictive modeling. In this study, two types of clinical code are used to represent drugs and diagnoses: the Anatomical Therapeutic Chemical Classification System (ATC) and the International Statistical Classification of Diseases and Health Problems (ICD). More specifically, it is investigated whether their hierarchical structure can be exploited to improve predictive performance. The use of random forests with feature sets that include only the original, low-level, codes is compared to using random forests with feature sets that contain all levels in the hierarchies. An empirical investigation using thirty datasets with different ADE targets is presented, demonstrating that the predictive performance, in terms of accuracy and area under ROC curve, can be significantly improved by exploiting codes on all levels in the hierarchies, compared to using only the low-level encoding. A further analysis is presented in which two strategies are employed for adding features level-wise according to the concept hierarchies: top-down, starting with the highest abstraction levels, and bottom-up, starting with the most specific encoding. The main finding from this subsequent analysis is that predictive performance can be kept at a high level even without employing the more specific levels in the concept hierarchies.

  • 7102.
    Zhao, Jing
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Henriksson, Aron
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Kvist, Maria
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap. Karolinska Institute, Sweden.
    Asker, Lars
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Boström, Henrik
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Handling Temporality of Clinical Events for Drug Safety Surveillance2015Ingår i: AMIA Annual Symposium Proceedings, ISSN 1559-4076, Vol. 2015, 1371-1380 s.Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Using longitudinal data in electronic health records (EHRs) for post-marketing adverse drug event (ADE) detection allows for monitoring patients throughout their medical history. Machine learning methods have been shown to be efficient and effective in screening health records and detecting ADEs. How best to exploit historical data, as encoded by clinical events in EHRs is, however, not very well understood. In this study, three strategies for handling temporality of clinical events are proposed and evaluated using an EHR database from Stockholm, Sweden. The random forest learning algorithm is applied to predict fourteen ADEs using clinical events collected from different lengths of patient history. The results show that, in general, including longer patient history leads to improved predictive performance, and that assigning weights to events according to time distance from the ADE yields the biggest improvement.

  • 7103.
    Zhao, Jing
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Karlsson, Isak
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Asker, Lars
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Boström, Henrik
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Applying Methods for Signal Detection in Spontaneous Reports to Electronic Patient Records2013Ingår i: Proceedings of the  19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Association for Computing Machinery (ACM), 2013Konferensbidrag (Refereegranskat)
    Abstract [en]

    Currently, pharmacovigilance relies mainly on disproportionality analysis of spontaneous reports. However, the analysis of spontaneous reports is concerned with several problems, such as reliability, under-reporting and insucient patient information. Longitudinal healthcare data, such as Electronic Patient Records (EPRs) in which comprehensive information of each patient is covered, is a complementary source of information to detect Adverse Drug Events (ADEs). A wide set of disproportionality methods has been developed for analyzing spontaneous reports to assess the risk of reported events being ADEs. This study aims to investigate the use of such methods for detecting ADEs when analyzing EPRs. The data used in this study was extracted from Stockholm EPR Corpus. Four disproportionality methods (proportional reporting rate, reporting odds ratio, Bayesian condence propagation neural network, and Gamma-Poisson shrinker) were applied in two dierent ways to analyze EPRs: creating pseudo spontaneous reports based on all observed drug-event pairs (event-level analysis) or analyzing distinct patients who experienced a drug-event pair (patient-level analysis). The methods were evaluated in a case study on safety surveillance of Celecoxib. The results showed that, among the top 200 signals, more ADEs were detected by the event-level analysis than by the patient-level analysis. Moreover, the event-level analysis also resulted in a higher mean average precision. The main conclusion of this study is that the way in which the disproportionality analysis is applied, the event-level or patient-level analysis, can have a much higher impact on the performance than which disproportionality method is employed.

  • 7104.
    Zhao, Jing
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Papapetrou, Panagiotis
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Asker, Lars
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Boström, Henrik
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Learning from heterogeneous temporal data from electronic health records2017Ingår i: Journal of Biomedical Informatics, ISSN 1532-0464, E-ISSN 1532-0480, Vol. 65, 105-119 s.Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Electronic health records contain large amounts of longitudinal data that are valuable for biomedical informatics research. The application of machine learning is a promising alternative to manual analysis of such data. However, the complex structure of the data, which includes clinical events that are unevenly distributed over time, poses a challenge for standard learning algorithms. Some approaches to modeling temporal data rely on extracting single values from time series; however, this leads to the loss of potentially valuable sequential information. How to better account for the temporality of clinical data, hence, remains an important research question. In this study, novel representations of temporal data in electronic health records are explored. These representations retain the sequential information, and are directly compatible with standard machine learning algorithms. The explored methods are based on symbolic sequence representations of time series data, which are utilized in a number of different ways. An empirical investigation, using 19 datasets comprising clinical measurements observed over time from a real database of electronic health records, shows that using a distance measure to random subsequences leads to substantial improvements in predictive performance compared to using the original sequences or clustering the sequences. Evidence is moreover provided on the quality of the symbolic sequence representation by comparing it to sequences that are generated using domain knowledge by clinical experts. The proposed method creates representations that better account for the temporality of clinical events, which is often key to prediction tasks in the biomedical domain.

  • 7105. Zhong, Jianghua
    et al.
    Cheng, Daizhan
    Hu, Xiaoming
    KTH, Skolan för teknikvetenskap (SCI), Matematik (Inst.), Optimeringslära och systemteori. KTH, Skolan för datavetenskap och kommunikation (CSC), Centra, Centrum för Autonoma System, CAS. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.
    Constructive stabilization for quadratic input nonlinear systems2008Ingår i: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 44, nr 8, 1996-2005 s.Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    In this paper stabilization of nonlinear systems with quadratic multi-input is considered. With the help of control Lyapunov function (CLF), a constructive parameterization of controls that globally asymptotically stabilize the system is proposed. Two different cases are considered. Firstly, under certain regularity assumptions. the feasible control set is parameterized, and Continuous feedback stabilizing controls are designed. Then for the general case. piecewise Continuous stabilizing controls are proposed. The design procedure can also be used to verify whether a candidate CLF is indeed a CLF. Several illustrative examples are presented as well.

  • 7106.
    Zhu, Qiyao
    et al.
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Hu, Yan
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Guo, Wentao
    Högskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Mobile learning in higher education: Students’ acceptance of mobile learning in three top Chinese universities2012Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    Introduction: Along with the swift spread of 3G and wireless network, wireless technologies are applied in many areas, especially in education. The advent of mobile learning overcomes several limitations and barriers of traditional classroom education. As for higher education in China, mobile learning is in its infancy stage. Understanding end-users’ acceptance of mobile learning is crucial, because new technological advances cannot enhance performance if they are not accepted by end-users. This study focuses on three top Chinese universities and answers the following research questions:

    1. How do students perceive mobile devices as a learning tool incorporated in class and what are their attitudes towards mobile learning?
    2. What are the motivational factors that affect students’ acceptance of mobile learning?

    Purpose: The purpose of this study is to test the proposed Technology Acceptance Model (TAM) in explaining students’ acceptance in three top Chinese universities. The goal of this work is to enhance the understanding of user acceptance of incorporating learning into mobile device inside and outside classes.

    Method: A deductive, theory-testing approach was used in this study. Eleven hypotheses were built based on a literature review and on the proposed TAM model, and were tested using primary data and literature review. Primary data was gathered via semi-structured interviews and questionnaires. The data collected through the questionnaire was analysed by Structural Equation Modeling.

    Conclusion: Through testing the proposed model, the authors found that students are positive towards mobile learning but they do not have a strong willingness to adopt it. The proposed TAM model can improve the understanding of students’ motivation by suggesting what factors are the most important in enhancing students acceptance of mobile learning.

  • 7107.
    Zhu, Rui
    et al.
    KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Samhällsplanering och miljö, Geodesi och geoinformatik.
    Gidofalvi, Gyözö
    KTH, Skolan för arkitektur och samhällsbyggnad (ABE), Samhällsplanering och miljö, Geodesi och geoinformatik.
    GPS-based Crowd Sourced Intelligent Traffic Information Hub2013Ingår i: Proceedings of the 26th International Cartographic Conference / [ed] Manfred F. Buchroithner, ICC International Cartographic Association , 2013, 669-670 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    Congestion is a major problem in most metropolitan areas and given the increasing rate of urbanization it is likely to be an even more serious problem in the rapidly expanding mega cities. Some well know negative effects of congestion include: 1) the economic losses and quality of life degradation that result from the increased and unpredictable travel times, 2) the increased level of carbon footprint that vehicles idling in congestions leave behind, and 3) the increased number of traffic accidents that are direct results of the stress and fatigue of drivers that are stuck in congestion.

    One possible method to combat congestion is provide intelligent traffic management systems that can in a timely manner inform drivers about current or predicted traffic congestion that is relevant to them on their journeys. This this extent, the present paper proposes a scalable, grid-based intelligent traffic information hub that facilitates the manual definition and/or automatic detection of abnormal traffic condition events, e.g., accidents or congestion, and in advance informs drivers about events that will likely be relevant to them on their journey, thereby allowing the divers or their onboard navigation units to alter their paths as needed.

    The proposed system achieves the above described functionality through the following methodology. The system, without loss of generality, adopts a grid-based discretization of space, which by changing the resolution of the grid allows the system to scale in terms of it computation cost and the geographical level of detail of traffic information that it manages. The system derives traffic information from the continuous stream of grid-based position and speed reports that it receives from the vehicles. In particular, the system in an online fashion 1) summarizes Current (grid-based) Traffic Flow Statistics (CTFS), i.e., it records for each grid cell g from each neighboring grid cell n, the mean and standard deviation of the speeds of the vehicles that are currently located in g and have entered g from n; and 2) efficiently incorporates the CTFS into compressed Historical (grid-based) Traffic Flow Statistics (HTFS) using incremental statistics. Simultaneously, using a sliding window model, the system also 1) maintains the Recent (grid-based) Trajectories (RT) of the vehicles; 2) extracts Recent (gridbased) Mobility Statistics (RMS), i.e., it records for each destination grid cell d, for each neighboring grid cell n of g, and for each possible source grid cell s, the number of vehicles that (i) are currently in d, (ii) have entered d from n, and (iii) have a RT that has passed through s; and 3) efficiently incorporates the RMS into compressed Historical (grid-based) Mobility Statistics (HMS) using incremental statistics. To capture the temporal variability in traffic flow and mobility patterns at different scales, the system through temporal domain projections maintains day-of-week and hour-ofday based aggregations of HTFS and RMS. Then, the system classifies a grid cell g to be congested from the direction of a neighboring grid cell n if the current mean speed of vehicles that entered the grid cell g from the direction of n is below the normal according to the temporally relevant HFS. Finally, based on the temporally relevant HMS, the system sends out congestion notifications to vehicles that are likely to be effected in the future part of their journey by these congestions, i.e., the system sends out a congestion notification (g,n) to a vehicle v that is currently located in some grid cell s from which the likelihood of v moving to g through n within the prediction horizon is above a user-defined threshold.

    Extensive empirical evaluations on large sets of realistically simulated trajectories of vehicles illustrate that the above described methodology and its simple SQL-based implementation in a relational database system is scalable and effective. In particular, the execution time of- and the space used by the system scales linearly with the input size (number of concurrently moving vehicles) and the method’s mutually dependent parameters (grid resolution r and RT length l) that jointly define a spatio-temporal resolution. Within the area of a large city (40km by 40km), assuming a 60km/h average vehicle speed, the system, running on a single personal computer, can manage the described congestion detection and one-minute-ahead notification tasks within real-time requirements for 15 thousand and 2.5 million concurrently moving vehicles for spatio-temporal resolutions (r=62.5m, l=17) and (r=4km,l=2), respectively. Finally, the proposed method, for all spatio-temporal resolutions and prediction horizons, significantly outperforms in terms of notification accuracy the grid-based baseline method, which sends non-directional congestion notifications based on the recent linear movement tendencies of vehicles. 

  • 7108.
    Zhyganov, Volodymyr
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för informatik (IK).
    Achieving and Maintaining IS/IT Alignment in Organizations2013Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
    Abstract [en]

    The alignment between IS/IT and business is one of the ways to achieve a significant competitive advantage for any organization. It is more important nowadays since any organization can buy any technology in the open market, so technologies themselves don’t give a significant competitive advantage.  Although the concept of the alignment has two decades of the history, it still has a lot of controversial issues and knowledge gaps such as uncertain understanding of the essence of the concept, the complexity of practical implementation and not paying attention to the social dimension of the alignment, i.e. the importance of mutual understanding and collaboration of IT and business executives. The current research aims to investigate the concept of alignment and finds out how an organization can achieve and maintain the IS/IT alignment. Also, this study explores the importance of the social dimension in the alignment concept, clarifies the essence of the IS/IT alignment and investigates how some theoretical concepts can really work in practice. There are many evidences in information systems management literature which describe that strategic alignment is necessary for profit organizations but there are very few which mention that strategic alignment is also important in non-profit academic institutions. During our current research we investigate how this concept works in Linnaeus University and how important it is to achieve and maintain an alignment in any university. In order to achieve the goal of the current research, the relevant information systems management literature was reviewed from a new perspective – a resource-based theory and a unified framework was proposed as a base for the further practical investigation.

    This research is based on a qualitative approach. By using a qualitative approach, we won’t miss anything important and can determine the maximum number of respondents' opinions. The primary data was collected by conducting private semi-structured interviews. The respondents are employees of a big nonprofit organization with the implemented business strategy, IT department and several information systems in use – Linnaeus University. The data were presented and analyzed according to the research questions and presented framework. The current study demonstrates the concept more clearly and tries to reassess the structure of IS/IT alignment. This research provides «a fresh look» at the concept of IS/IT alignment.

  • 7109.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Adaptive Behavior in Autonomous Agents1998Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This paper gives an overview of the bottom-up approach to artificial intelligence (AI), commonly referred to as behavior-oriented AI. The behavior-oriented approach, with its focus on the interaction between autonomous agents and their environments, is introduced by contrasting it with the traditional approach of knowledge-based AI. Different notions of autonomy are discussed, and key problems of generating adaptive and complex behavior are identified. A number of techniques for the generation of behavior are introduced and evaluated regarding their potential for realizing different aspects of autonomy as well as adaptivity and complexity of behavior. It is concluded that in order to realize truly autonomous and intelligent agents, the behavior-oriented approach will have to focus even more on life-like qualities in both agents and environments.

  • 7110.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Radar Image Segmentation using Recurrent Artificial Neural Networks1996Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This paper discusses the application of artificial neural networks to the segmentation of Doppler radar images, in particular the detection of oil spills within sea environments, based on a classification of radar backscatter signals. Best results have been achieved with recurrent backpropagation networks of an architecture similar to that of Elman's Simple Recurrent Network. The recurrent networks are shown to be very robust to variations in both sea state (weather conditions) as well as illumination distance, and their performance is analysed in further detail.

  • 7111.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Radar Image Segmentation using Second-Order Recurrent Networks1996Rapport (Övrigt vetenskapligt)
    Abstract [en]

    A second-order recurrent artificial neural network architecture for the segmentation and integration of radar images is introduced in this paper. This architecture consists of two sub-networks: a function network that classifies radar measurements into four different categories of objects in sea environments (water, oil spills, land and boats), and a context network that dynamically computes the function network's input weights. It is shown that this mechanism allows networks to learn to solve the task through a dynamic adaptation of their weighting of different radar measurements.behaviour.

  • 7112.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Radar Image Segmentation using Self-Adapting Recurrent Networks1997Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This paper presents a novel approach to the segmentation and integration of (radar) images using a second-order recurrent artificial neural network architecture consisting of two sub- networks: a function network that classifies radar measurements into four different categories of objects in sea environments (water, oil spills, land and boats), and a context network that dynamically computes the function network's input weights. It is shown that in experiments (using simulated radar images) this mechanism outperforms conventional artificial neural networks since it allows the network to learn to solve the task through a dynamic adaptation of its classification function based on its internal state closely reflecting the current context.

  • 7113.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Recurrent Artficial Neural Networks for the Detection of Oil Spills from Doppler Radar Imagery1995Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This paper discusses the application of artificial neural networks (ANNs) to the detection of oil spills in sea clutter environments from the classification of radar backscatter signals. A comparison and evaluation of different network architectures regarding reliability of dection and robustness to varying sea states/wind conditions shows that for this problem best results are achieved with a recurrent architecture similar to that of Elman's SRN.

  • 7114.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Remembering how to behave: Recurrent neural networks for adaptive robot behavior.1999Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This paper discusses the use of recurrent neural networks for control of and learning in robots and autonomous agents. In particular the use of feedback in both first- and higher-order recurrent network architectures for the realization of adaptive robot behavior is investigated. Two experiments, in which controller network weights are evolved to solve tasks requiring robots to exhibit context- or state-dependent behavior, are used to demonstrate and analyze different recurrent control architectures.

  • 7115.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Rethinking Grounding1999Rapport (Övrigt vetenskapligt)
    Abstract [en]

    The grounding problem is, generally speaking, the problem of causally connecting an artificial agent with its environment such that the agent's (internal) mechanisms and behaviour can be intrinsic and meaningful to itself, rather than dependent on an external designer or observer. This paper briefly reviews Searle's and Harnad's analyses of the grounding problem are and evaluates cognitivist and enactivist approaches to solving it. It is argued that, although the two categories of grounding approaches differ in their nature and the problems they have to face, both, so far, fail to provide fully grounded systems. Further it is argued here that the reason the problem is somewhat underestimated lies in the notions of situatedness and embodiment in modern AI, which goes beyond purely computational systems, but fails to acknowledge the historically grounded nature of the relation between living systems and their environments.

  • 7116.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    The `Environmental Puppeteer' Revisited: A Connectionist Perspective on Autonomy´.1997Rapport (Övrigt vetenskapligt)
    Abstract [en]

    Today's `autonomous´robots only have very limited autonomy and are in fact very much under the control of the `environmental puppeteer', i.e their behaviour is

    determined, via virtual strings, by environmental conditions. Hence, it has been stated as the goal of modern scientific robotics to "cut the strings and give the robot its autonomy''. Different notions of autonomy in artefacts and living systems are examined in this paper, and different aspects/dimensions of autonomy are identified and illustrated with examples from connectionist robot control. A connectionist architecture is introduced that aims to increase robotic autonomy through integration of connectionist self-organisation/learning with the enactive view of structural coupling between environment and agent. In the resulting robot control architecture it is the environment that is pulling the strings, but the agent that develops them and dynamically decides which of them to use in a particular situation. Hence, the notion of autonomy advocated here is not `independence of environment' (a `freedom' most artefacts have), but rather an agent's capacity to actively embed itself in its environment and flexibly utilize it as a resource.

  • 7117.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Towards Adaptive Behaviour System Integration using Connectionist Infinite State Automata1996Rapport (Övrigt vetenskapligt)
    Abstract [en]

    A higher order recurrent connectionist architecture for adaptive control of autonomous robots is introduced in this paper. This architecture, inspired by Pollack's Sequential Cascaded Network, consists of two sub-networks: a function network for the coupling between sensory inputs and motor outputs, and a context network, which dynamically adapts the function network in order to allow a flexible mapping from percepts to actions. The approach taken here is compared to dynamics and algorithmic approach to autonomous robot control, and it is argued that the above architecture allows an integration of (a) the complex structure and control typical for the algorithmic approach, (b) the capacity to utilize systematically continuous state spaces, and (c) the self- organizing learning capacity of connectionist systems with a simple, but powerful mechanism for context-dependent adaptation of behaviour.

  • 7118.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Towards Adaptive Perception in Autonomous Robots using Second-Order Recurrent Networks1996Rapport (Övrigt vetenskapligt)
    Abstract [en]

    In this paper a higher-order recurrent connectionist architecture is used for learning adaptive behaviour in an autonomous robot. This architecture consists of two sub-networks in a master-slave relationship: a function network for the coupling between sensory inputs and motor outputs, and a context network, which dynamically adapts the sensory input weights in order to allow a flexible, context-dependent mapping from percepts to actions. The capabilities of this architecture are demonstrated in a number of action selection experiments with a simulated Khepera robot, and it is argued that the general approach of generically dividing the overall control task between sequentially cascaded context and function learning offers a powerful mechanism for autonomous long- and short-term adaptation of behaviour.

  • 7119.
    Ziemke, Tom
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Towards Autonomous Robot Control via Self-Adapting Recurrent Networks1996Rapport (Övrigt vetenskapligt)
    Abstract [en]

    In this paper a higher-order recurrent connectionist architecture is used for learning adaptive behaviour in an autonomous robot. This architecture consists of two sub-networks in a master-slave relationship: a function network for the coupling between sensory inputs and motor outputs, and a context network, which dynamically adapts the sensory input weights in order to allow a flexible, context-dependent mapping from percepts to actions. The capabilities of this architecture are demonstrated in a number of action selection experiments with a simulated Khepera robot, and it is argued that the general approach of generically dividing the overall control task between sequentially cascaded context and function learning offers a powerful mechanism for autonomous long- and short-term adaptation of behaviour

  • 7120.
    Ziemke, Tom
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Athley, Fredrik
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Oil Spill Detection from Doppler Radar Imagery using Artificial Neural Networks1995Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This paper reports on results of an ongoing project investigating the application of artificial neural networks (ANNs) to the classification/ cartography of sea clutter environments, and in particular the detection of oil spills, on the basis of their radar backscatter signals.

  • 7121.
    Ziemke, Tom
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Atley, Fredrik
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Connectionist Models for the Detection of Oil Spills from Doppler Radar Imagery1995Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This paper reports on the results of a project investigating the potential of applying artificial neural networks to the problem of detecting oil spills on basis of the radar backscatter signals from a sea clutter environment illuminated by a Doppler radar. Recurrent backpropagation models which were found to exhibit satisfactory performance, superior to that of feed-forward networks, are discussed and analysed in particular.

  • 7122.
    Ziemke, Tom
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Bodén, Mikael
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Niklasson, Lars
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Oil Spill Detection: A Case Study of Recurrent Artificial Neural Networks1997Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This paper summarizes and analyzes the results of a case study of artificial neural networks for the detection of oil spills from radar imagery, which has been carried as a joint project between the Connectionist Research Group, University of Skövde, and Ericsson Microwave Systems AB, Mölndal, Sweden.

  • 7123.
    Ziemke, Tom
    et al.
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Jirenhed, Dan-Anders
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Hesslow, Germund
    Högskolan i Skövde, Institutionen för kommunikation och information.
    Blind Adaptive Behavior Based on Internal Simulation of Perception2002Rapport (Övrigt vetenskapligt)
    Abstract [en]

    This paper presents experiments, based on a neuroscientific hypothesis, exploring the possibility of an 'inner world' based on internal simulation of perception rather than an explicit representational world model. First a series of initial experiments is discussed, in which recurrent neural networks were evolved to (a) control collision-free corridor following behavior in a simulated Khepera robot, and (b) predict the next time step's sensory input as accurately as possible. Attempts to let the robot act 'blindly', repeatedly using its own prediction instead of the real sensory input, were not particularly successful. This motivated the second series of experiments, on which this paper focuses. A feed-forward network was used which, as above, controlled behavior and predicted sensory input. However, weight evolution was now guided by the sole fitness criterion of successful, 'blind' corridor following behaviour, including timely turns, as above using as input only own predictions rather than real sensory input. The trained robot is in some cases actually able to move 'blindly' in a simple environment for hundreds of time steps, successfully handling several multi-step turns. Somewhat surprisingly, however, it does so based on self-generated input that is very different from the actual sensory values.

  • 7124.
    Zikra, Iyad
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Implementing the Unifying Meta-Model for Enterprise Modeling and Model-Driven Development: An Experience Report2012Ingår i: The Practice of Enterprise Modeling: 5th IFIP WG 8.1 Working Conference, PoEM 2012. Proceedings / [ed] Kurt Sandkuhl, Ulf Seigerroth, Janis Stirna, Springer, 2012, 172-187 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    Model-Driven Development (MDD) is becoming increasingly popular as a choice for developing information systems. Tools that support the principles of MDD are also growing in number and variety of available functionality. MetaEdit+ is a meta-modeling tool used for developing Domain Specific Languages and is identified as an MDD tool. The Eclipse Modeling Framework (EMF) and Graphical Modeling Project (GMP) are two Eclipse projects that provide plug-ins to support the principles of MDD. In this paper, we report on our experience in using MetaEdit+ and the Eclipse plug-ins for developing a graphical editor for the unifying meta-model, which is an MDD approach that extends the traditional view of MDD to cover Enterprise Modeling. The two modeling environments are reviewed using functionality areas that are identified by the research community as necessary in MDD tools. This report will provide useful insights for researchers and practitioners alike concerning the use of MetaEdit+ and the Eclipse plug-ins as MDD tools.

  • 7125.
    Zikra, Iyad
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Model-based Requirements for Integrating Cloud Services2016Ingår i: Proceedings of the CAiSE'16 Forum, at the 28th International Conference on Advanced Information Systems Engineering (CAiSE 2016) / [ed] Sergio España, Mirjana Ivanović, Miloš Savić, 2016, 65-72 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    Cloud-based services provide an alternative to the in-house implementation of various types of functionality. Organizations rely on such services to minimize the need for long-term commitments and enhance scalability and ubiquitous access to the services. However, achieving complex tasks that require a combination of services is not well studied, despite the potential added value. This paper investigates the requirements encountered when integrating cloud-based services in the modern organization. The paper proposes a model-driven solution for capturing the requirements for integrating cloud-based services. The model is to be used within the larger context of the organizational design; modeling components used to describe requirements are related to other views of the organization. A prototype tool and an example business case are presented to illustrate how the requirements model can be elicited and designed. The models are capable of being transformed into an integration solution.

  • 7126.
    Zikra, Iyad
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    The Communicative Nature of Information Systems Integration as an Enabler for Business IT Alignment2017Ingår i: Business Information Systems Workshops: BIS 2016 International Workshops, Leipzig, Germany, July 6-8, 2016, Revised Papers / [ed] Witold Abramowicz, Rainer Alt, Bogdan Franczyk, Springer, 2017, 136-147 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    Patterns of systems integration strive to accommodate the diversity of business ecosystems, including novel Web- and cloud-based services. In this paper, we apply the principles of the language/action paradigm (LAP) to develop a decentralized integration pattern that supports dynamic integration of services. A model is proposed for designing the interacting systems as active and independent entities that seek to communicate with each other. Two modes are enabled in the communication model: an indirect mode, where systems interact via business processes; and a direct mode, where systems directly interface with each other, following four categories. The communication perspective of the proposed integration pattern contributes to realizing the vision of a marketplace for cloud services. It supports a more flexible alternative to centralized integra-tion patterns. The communication model builds on the improved alignment be-tween system design models and the overall organizational design offered by the unifying meta-model for enterprise modeling.

  • 7127.
    Zikra, Iyad
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    España, Sergio
    Ruiz, Marcela
    Pastor, Oscar
    Stirna, Janis
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Aligning Communication Analysis with the Unifying Meta-Model for Enterprise Modeling2012Konferensbidrag (Refereegranskat)
    Abstract [en]

    Enterprise Modeling (EM) captures and represents organizational know-ledge in models that cover different views of the enterprise. The models can be leveraged in the development of information systems. Investigating how to use them as input to Model-Driven Development (MDD) is an open challenge. This paper explores how a holistic EM approach, represented by a unifying meta-model, can benefit from integrating with Communication Analysis, a communication-oriented business process modeling and requirements engineering method. As a first step towards an integrated EM-enabled MDD approach, the unifying meta-model and Communication Analysis meta-model are aligned. A set of guidelines for trans-forming models conforming to the unifying meta-model to Communication Analysis models are formulated. The approach is illustrated using of a lab demo.

  • 7128.
    Zikra, Iyad
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Stirna, Janis
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Analyzing the Integration between Requirements and Models in Model Driven Development2011Konferensbidrag (Refereegranskat)
    Abstract [en]

    In Model Driven Development (MDD), models replace software code as the development artifact. At the same time, requirements represent the information that is elaborated in models. However, despite the tight relationship between models and requirements, only a few MDD approaches provide the necessary methodological guidelines and tool support to explicitly facilitate this relationship. In this paper, we analyze existing approaches for integrating requirements with models within MDD. Based on the analysis, we elicit a set of general properties that need to be fulfilled when considering the integration of requirements and models, and we assess the contribution of the considered approaches accordingly.

  • 7129.
    Zikra, Iyad
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Stirna, Janis
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Bringing Enterprise Modeling Closer to Model-Driven Development2011Ingår i: The Practice of Enterprise Modeling, Springer Berlin Heidelberg , 2011Konferensbidrag (Refereegranskat)
    Abstract [en]

    Enterprise Modeling (EM) provides the means for using models to represent organizational knowledge from different perspectives. When information systems (IS) are involved, Model-Driven Development (MDD) is an approach that focuses on the use of models as primary development artifacts. By observing that EM provides the context for high level requirements, which in turn are the input to MDD, we propose a meta-model that integrates enterprise models and requirements with design models in MDD. The meta-model defines six models that cover both organizational and IS development knowledge. Inter-model relationships ensure an integrated view of the enterprise and the supporting IS by allowing model components to be used across different models. The integrated meta-model is demonstrated through an example case study.

  • 7130.
    Zikra, Iyad
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Stirna, Janis
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Zdravkovic, Jelena
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Identifying Quality Factors of Information Systems Integration Design2017Ingår i: Perspectives in Business Informatics Research: 16th International Conference, BIR 2017, Copenhagen, Denmark, August 28–30, 2017, Proceedings / [ed] Björn Johansson, Charles Møller, Atanu Chaudhuri, Frantisek Sudzina, Springer, 2017, 45-60 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    The Information Systems (IS) community has long recognized the importance of studying quality at various stages of the IS design process. Many studies target the quality factors at various stages of design and development. However, research about the factors that specifically affect the quality of IS integration remains largely fragmented. Existing quality frameworks fail to cover integration-specific factors. This motivates the need for a holistic model of integration quality. The paper proposes two artefacts to address this need. It explores the literature of related domains, including systems, model, and process quality to elicit the quality factors that are relevant in the context of IS integration. The factors can be used to evaluate the quality of integration solutions during design and development. The paper also proposes a quality model to describe the quality of the design components of integration solutions following the principles of model-driven development. The model enables the quality factors to be associated with other parts of the IS integration design. The proposed factors are evaluated with the help of expert feedback using a questionnaire, and the quality model is demonstrated with an example business case.

  • 7131.
    Zimmer, Björn
    et al.
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Kerren, Andreas
    Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap (DV).
    Harnessing WebGL and WebSockets for a Web-Based Collaborative Graph Exploration Tool2015Ingår i: Engineering the Web in the Big Data Era: 15th International Conference, ICWE 2015, Rotterdam, The Netherlands, June 23-26, 2015, Proceedings / [ed] Philipp Cimiano, Flavius Frasincar, Geert-Jan Houben, and Daniel Schwabe, Springer, 2015, 583-598 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    The advancements of web technologies in recent years made it possible to switch from traditional desktop software to online solutions. Today, people naturally use web applications to work together on documents, spreadsheets, or blogs in real time. Also interactive data visualizations are more and more shared in the web. They are thus easily accessible, and it is possible to collaboratively discuss and explore complex data sets. A still open problem in collaborative information visualization is the online exploration of node-link diagrams of graphs (or networks) in fields such as social sciences or systems biology. In this paper, we address challenges related to this research problem and present a client/server-based visualization system for the collaborative exploration of graphs. Our approach uses WebGL to render large graphs in a web application and provides tools to coordinate the analysis process of multiple users in synchronous as well as asynchronous sessions. 

  • 7132.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Jugel, Dierk
    Reutlingen University, Germany.
    Sandkuhl, Kurt
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Datavetenskap och informatik. University of Rostock, Germany.
    Schmidt, Rainer
    Munich University, Germany.
    Bogner, Justus
    Reutlingen University, Germany.
    Kehrer, Stefan
    Reutlingen University, Germany.
    Multi-Perspective Decision Management for Digitization Architecture and Governance2016Ingår i: 2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW), IEEE, 2016, 1-9 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    The Internet of Things, Enterprise Social Networks, Adaptive Case Management, Mobility Systems, Analytics for Big Data, and Cloud environments are emerging to support smart connected i.e. digital products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems provide the logical foundation for selfoptimizing and resilient run-time environments for intelligent business services and related distributed information systems with service-oriented digitization architectures. We are investigating mechanisms for flexible adaptation and evolution of information systems with digital architecture in the context of the ongoing digital transformation. Our aim is to support flexibility and agile transformation for both business and related information systems through adaptation and dynamical evolution of their digital architectures. The present research paper investigates mechanisms of decision analytics for digitization architectures, putting a spotlight to Internet of Things architectures, by extending original enterprise architecture reference models with digitization architectures and their multiperspective architectural decision management.

  • 7133.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Jugel, Dierk
    Reutlingen University and University of Rostock, Germany.
    Sandkuhl, Kurt
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Datavetenskap och informatik. University of Rostock, Germany.
    Schmidt, Rainer
    Munich University, Germany.
    Schweda, Christian M.
    Reutlingen University, Germany.
    Möhring, Michael
    Munich University, Germany.
    Architectural Decision Management for Digital Transformation of Products and Services2016Ingår i: Complex Systems Informatics and Modeling Quarterly, ISSN 2255-9922, Vol. 6, 31-53 s.Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The digitization of our society changes the way we live, work, learn, communicate, and collaborate. The Internet of Things, Enterprise Social Networks, Adaptive Case Management, Mobility systems, Analytics for Big Data, and Cloud services environments are emerging to support smart connected products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems provide the logical foundation for self-optimizing and resilient run-time environments for intelligent business services and service-oriented enterprise architectures. Our aim is to support flexibility and agile transformations for both business domains and related information technology. The present research paper investigates mechanisms for decision analytics in the context of multi-perspective explorations of enterprise services and their digital enterprise architectures by extending original architecture reference models with state of art elements for agile architectural engineering for the digitization and collaborative architectural decision support. The paper’s context focuses on digital transformations of business and IT and integrates fundamental mappings between adaptable digital enterprise architectures and service-oriented information systems. We are putting a spotlight on the example domain – Internet of Things.

  • 7134.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Schmidt, Rainer
    Munich University of Applied Sciences, Germany.
    Jugel, Dierk
    Reutlingen University and University of Rostock, Germany.
    Sandkuhl, Kurt
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Datavetenskap och informatik. University of Rostock, Germany.
    Schweda, Christian
    Reutlingen University, Germany.
    Möhring, Michael
    Munich University of Applied Sciences, Germany.
    Bogner, Justus
    Reutlingen University and Hewlett Packard Enterprise, Germany.
    Decision Case Management for Digital Enterprise Architectures with the Internet of Things2016Ingår i: Intelligent Decision Technologies 2016: Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016) – Part II / [ed] Ireneusz Czarnowski, Alfonso Mateos Caballero, Robert J. Howlett, Lakhmi C. Jain, Springer, 2016, 27-37 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    The Internet of Things (IoT), Enterprise Social Networks, Adaptive Case Management, Mobility systems, Analytics for Big Data, and Cloud services environments are emerging to support smart connected products and services and the digital transformation. Biological metaphors of living and adaptable ecosystems with service-oriented enterprise architectures provide the foundation for self-optimizing and resilient run-time environments for intelligent business services and related distributed information systems. We are investigating mechanisms for flexible adaptation and evolution for the next digital enterprise architecture systems in the context of the digital transformation. Our aim is to support flexibility and agile transformation for both business and related enterprise systems through adaptation and dynamical evolution of digital enterprise architectures. The present research paper investigates mechanisms for decision case management in the context of multi-perspective explorations of enterprise services and Internet of Things architectures by extending original enterprise architecture reference models with state of art elements for architectural engineering for the digitization and architectural decision support.

  • 7135.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Schmidt, Rainer
    Munich University, Germany.
    Sandkuhl, Kurt
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Datavetenskap och informatik. University of Rostock, Germany.
    El-Sheikh, Eman
    University of West Florida, USA.
    Jugel, Dierk
    Reutlingen University and University of Rostock, Germany.
    Schweda, Christian M.
    Reutlingen University, Germany.
    Möhring, Michael
    Munich University, Germany.
    Wißotzki, Matthias
    University of Rostock, Germany.
    Lantow, Birger
    University of Rostock, Germany.
    Leveraging Analytics for Digital Transformation of Enterprise Services and Architectures2016Ingår i: Emerging Trends in the Evolution of Service-Oriented and Enterprise Architectures, Springer, 2016, Vol. 111, 91-112 s.Kapitel i bok, del av antologi (Refereegranskat)
    Abstract [en]

    The digital transformation of our society changes the way we live, work, learn, communicate, and collaborate. The digitization of software-intensive products and services is enabled basically by four megatrends: Cloud Computing, Big Data Mobile Systems, and Social Technologies. This disruptive change interacts with all information processes and systems that are important business enablers for the current digital transformation. The Internet of Things, Social Collaboration Systems for Adaptive Case Management, Mobility Systems and Services for Big Data in Cloud Services environments are emerging to support intelligent user-centered and social community systems. Modern enterprises see themselves confronted with an ever growing design space to engineer business models of the future as well as their IT support, respectively. The decision analytics in this field becomes increasingly complex and decision support, particularly for the development and evolution of sustainable enterprise architectures (EA), is duly needed. With the advent of intelligent user-centered and social community systems, the challenging decision processes can be supported in more flexible and intuitive ways. Tapping into these systems and techniques, the engineers and managers of the enterprise architecture become part of a viable enterprise, i.e. a resilient and continuously evolving system that develops innovative business models.

  • 7136.
    Zimmermann, Alfred
    et al.
    Reutlingen University, Germany.
    Schmidt, Rainer
    Munich University, Germany.
    Sandkuhl, Kurt
    Högskolan i Jönköping, Tekniska Högskolan, JTH, Datateknik och informatik. Högskolan i Jönköping, Tekniska Högskolan, JTH. Forskningsmiljö Datavetenskap och informatik. University of Rostock, Germany.
    Jugel, Dierk
    Reutlingen University and University of Rostock, Germany.
    Bogner, Justus
    Reutlingen University and Hewlett Packard Enterprise, Germany.
    Möhring, Michael
    Munich University, Germany.
    Multi-perspective Digitization Architecture for the Internet of Things2017Ingår i: BIS 2016 International Workshops, Leipzig, July 6-8, 2016. / [ed] Witold Abramowicz, Rainer Alt, Bogdan Franczyk, Springer, 2017, Vol. 263, 289-298 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    Social networks, smart portable devices, Internet of Things (IoT) on base of technologies like analytics for big data and cloud services are emerging to support flexible connected products and agile services as the new wave of digital transformation. Biological metaphors of living and adaptable ecosystems with service-oriented enterprise architectures provide the foundation for self-optimizing and resilient run-time environments for intelligent business services and related distributed information systems. We are extending Enterprise Architecture (EA) with mechanisms for flexible adaptation and evolution of information systems having distributed IoT and other micro-granular digital architecture to support next digitization products, services, and processes. Our aim is to support flexibility and agile transformation for both IT and business capabilities through adaptive digital enterprise architectures. The present research paper investigates additionally decision mechanisms in the context of multi-perspective explorations of enterprise services and Internet of Things architectures by extending original enterprise architecture reference models with state of art elements for architectural engineering and digitization.

  • 7137.
    Ziyarazavi, Merat
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Magnusson, Christer
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    From Theory to Practice - When and How to Implement Service Value Agreement2013Ingår i: Journal of Service Science and Management, ISSN 1940-9893, E-ISSN 1940-9907, Vol. 6, 127-142 s.Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Traditionally, a Service Level Agreement (SLA) is used as an appendix in IT Service Management agreements to set expectations and delineate the service delivery description as well as the terms and conditions of delivery. However, SLAs are unable to imply and guarantee the added values expected by the customer. Service Value Agreement (SVA) is a newly developed framework that identifies the deliverable added values along with metrics to measure the quality and quantity of achievements in terms of business added values. The objective of this study is to expand the concept of SVA for Application Management (AM) services and suggest guidelines for its implementation in real business cases. This goal is fulfilled through the case study approach and outsourcing industry contributions. Authors suggest discussing the concept of SVA from early stages of the sales lifecycle and implementing it gradually during the steady state phase. Combination of Service Value Mapping approach and Piloting method is suggested for SVA proposition as an option with successful practical history.

  • 7138. Ziyarazavi, Merat
    et al.
    Magnusson, Christer
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Tergesten, Torbjörn
    Qualifying and Quantifying IT Services Added Values in Outsourcing Assignments—Service Value Agreement2012Ingår i: Journal of Service Science and Management, ISSN 1940-9893, E-ISSN 1940-9907, Vol. 5, nr 4, 318-330 s.Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Traditionally, a Service Level Agreement (SLA) including service level metrics is used as an appendix in IT Service Management agreements to define the terms and conditions of delivery and set expectations. However, SLA neither implies nor guarantees the added values that are expected by the customer. Besides, due to the nature of IT services, there always exists uncertainty about the agreed services due to which the perceived risk for both customer and provider is high. Moreover, the quality and quantity of delivered values are mostly hidden by hazy marketing slogans. In order to guarantee the values of an offered service, the deliverable added values should be characterized properly, quantified by means of measurable metrics, and agreed upon between the two parties. Such comprehensive material, including the deliverable added values along with their measurable metrics, is called Service Value Agreement (SVA). This research proposes a platform for IT service offerings based on added values by identifying, as well as quantifying, an organization’s objectives in purchasing Application Management (AM) services from a provider firm.

  • 7139.
    Zoric, Goranka
    et al.
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Engström, Arvid
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Barkhuus, Louise
    Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
    Hidalgo, Javier Ruiz
    Kochale, Axel
    Gesture Interaction with Rich TV Content in the Social Setting2014Ingår i: Proceedings of TVUX-2013: Workshop on Exploring and Enhancing the User Experience for TV at ACM CHI 2013, 27 April 2013, Paris, France, Association for Computing Machinery (ACM), 2014Konferensbidrag (Övrigt vetenskapligt)
    Abstract [en]

    The appearance of new immersive TV content has increased the interactive possibilities presented to the viewers. Increased interactivity is seen as a valuable feature in viewing richer television content, but new functionalities are limited by what can be done naturally and intuitively using available devices like remote controls. Therefore, new interaction techniques, such as visual gestures control systems, have appeared aiming to enhance the viewers’ viewing experience. In this work we begin uncovering the potential and challenges of gesture interaction with ultra high definition video for people watching TV together. As a first step we have done a study with a group of people interacting with such content using a gesture-based system in the home environment.

  • 7140.
    Zou, Ming
    Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för datalogi och datorsystemteknik.
    Industrial Decision Support System with Assistance of 3D Game Engine2015Självständigt arbete på avancerad nivå (masterexamen)Studentuppsats (Examensarbete)
    Abstract [en]

    Context. Industrial Decision Support System(DSS) traditionally relies on 2D approach to visualize the scenarios. For some abstract information, like chronological sequence of tasks or data trend, it provides a good visualization. For concrete information, such as location and spatial relationships, 2D visualizations are too abstract. Techniques from Game design, 3D modeling, virtual reality(VR) and animation provides many inspiration to develop a DSS tools for industrial applications. Objectives. The work in our research was to develop a unique prototype for data visualization in wind power systems, and compare it with traditional ones. The product combined 3D VR, 2D graphics, user navigation, and Human Machine Interaction(HMI). It was developed with a game engine, Unity3D. The study explored how much usability can be improved when using applied gamificaion 3D approaches in industrial monitoring and control systems. Methods. The research methods included Literature Review, Commercial Example Analysis, Development, and Evaluation. In the evaluation phase, Systematic Usability Scale(SUS) tests were performed with two independent groups, the testing results were analyzed with statistical method, t-test. Results. The evaluation results showed that an interface developed with 3D virtual reality can provide better usability(include learnability) than traditional 2D industrial interface in wind power system. The difference between them is significant. Conclusions. The study indicates that, compared with the traditional 2D interfaces, the gamification 3D approach in industrial DSS can provide user more comprehensive information visualization, better usability and learnability . It also gives more effective interactions to enhance the user experience.

  • 7141.
    Zubair, Ghaith
    et al.
    Växjö universitet, Fakulteten för matematik/naturvetenskap/teknik, Institutionen för teknik och design.
    El-Thalji, Idriss
    Växjö universitet, Fakulteten för matematik/naturvetenskap/teknik, Institutionen för teknik och design.
    A model for analysis and design of an integrated operations management system using systems engineering approach: A case study2007Rapport (Övrigt vetenskapligt)
    Abstract [sv]

    Bakgrund: I allmänhet har operations verksamhet en del komplicerade system där friktion kan förekomma. De viktigaste systemen som har påverkan på operations verksamhet är produktion och underhålls system. Att behandla friktions förluster har varit svårt eftersom de både samverkar och delvis överlappar varandra. I dem här studien har olika fall av operationssystem behandlats med att först utveckla en modell, analysera och designa den integrerade operationssystemet för att få den billigaste och dem mest kostnads effektiva sätt att klara av.

    Metod: En modell har utvecklats baserat på de senaste metoderna genom att använda system paradigm metoder och systemtekniska angreppssätt.

    Resultat: Genom att använda fem sätt att analysera, sju bestämmelser extraherade, nio lösningar generade, valdes en av lösningarna och med lösningen som grund designades operations verksamhet.

    Slutsats: Resultatet förslog att operations verksamhet skall integrera organisation, process och kontroll ledningar och inte bara data ledningen.

  • 7142.
    Árrmansson, Petúr Geir
    Högskolan i Skövde, Institutionen för datavetenskap.
    Web-based modeling: an evaluation of the possibilities and problems1997Självständigt arbete på grundnivå (kandidatexamen)Studentuppsats
    Abstract [en]

    The aim of this paper is to evaluate the possibilities and problems with using hypermedia for the modeling phases of software development methods, i.e. using the World Wide Web and a browser for drawing and viewing models and for hyperlinking models and information that is related to the models.

    A number of Web-techniques have been discussed and analyzed to see if they could support Web-based modeling, and in what way they could do this.

    The modeling techniques of two software development methods have been used to compare the Web-techniques.

    The conclusion is made that all the Web-techniques could, in some way, support Web-based modeling, depending on how it is implemented.

  • 7143.
    Älmeblad, Jonas
    Umeå universitet, Samhällsvetenskapliga fakulteten, Institutionen för informatik.
    Molnet och dess möjligheter och  utmaningar: En kvalitativ studie i hur molnet förändrar systemutvecklingsarbetet2011Självständigt arbete på grundnivå (kandidatexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
    Abstract [en]

    As companies grow, their need for computing power will increase, which traditionally resulted in companies having to invest in more IT resources. Now, with cloud computing, companies can easily hire computer power over the Internet, on-demand. Cloud computing offers a highly scalable environment where companies can store data and host their services. This paper employs a qualitative study with interviews and literature studies to explore opportunities and challenges associated with cloud computing from a system developer perspective. The aim of the paper is to find out how cloud computing changes the conditions for system development. The paper contributes with four different opportunities and challenges that the system developer must handle to succeed in the world of cloud computing. A conclusion is that it is not the work of system development that changes; instead it is the role of the system developer that evolves.  

  • 7144.
    Älverdal, Johan
    et al.
    Högskolan i Jönköping, Internationella Handelshögskolan.
    Skild, Fredrik
    Högskolan i Jönköping, Internationella Handelshögskolan.
    Thai, Men
    Högskolan i Jönköping, Internationella Handelshögskolan.
    Inter-organisational Application Integration: Developing Guidelines Using Multi Grounded Theory2005Självständigt arbete på avancerad nivå (magisterexamen), 10 poäng / 15 hpStudentuppsats
    Abstract [en]

    Background: Information technology (IT) has drastically changed the traditional way to do business. In theory,

    coordinating information sharing among organisational partners offers notable advantages through cost savings,

    productivity, improved decision making, and better customer service. Supported by modern information technology,

    business processes can change and be developed into new more effective forms, both internally and externally.

    However, as IT facilitates new business opportunities, it requires a steady flow of information and information

    exchange, both within intra- and inter-organisational contexts where a consensus on terms and definitions

    coordinating the uniform communication is vital.

    Purpose: With the focal point on inter-organisational information exchange, the purpose of the thesis is to define

    a set of guidelines for AI that can be used and adjusted according to the needs of a specific situation or context.

    Method: The thesis was carried out with a Multi Grounded Theory approach. Interviews were conducted at a local

    IT-company and with an associate professor of Informatics at Jönköping International Business School.

    Results: Five categories were discovered which impact AI: integration governance, project management, context, integration

    content, and testing. The result also implied the importance to distinguish between an operational and strategic level

    when working with Application Integration.

  • 7145. Ågerfalk, P
    et al.
    Sjöström, J
    Eliasson, E
    Cronholm, S
    [external].
    Goldkuhl, G
    Setting the Scene for Actability Evaluation: Understanding Information Systems in Context2002Ingår i: Proceedings of the 9th European Conference on Information Technology Evaluation (ECITE 2002). Jul 15-16, Paris, France, 2002Konferensbidrag (Refereegranskat)
    Abstract [en]

    The paper presents an approach to the evaluation of information systems based on the concept of information systems actability, which is suggested as an important alternative way to understand the role and pragmatic use of IT-systems within organizations. the reults, empirically informed byt two case studies, show that the suggested approach can effectivly be used to direct evaluators' attention to import aspects of an IT-system related to the social actions performed by its use within a business context.

  • 7146. Ågerfalk, Pär
    et al.
    Goldkuhl, Göran
    Cronholm, Stefan
    [external].
    Information Systems Actability Engineering: Integrating Analysis of Business Processes and Usability Requirements1999Ingår i: Proceedings of the 4th International Workshop on the Language Action Perspective on Communication Modelling (LAP’99), pp.73–86. Sep 12–13, Copenhagen, Denmark, 1999Konferensbidrag (Refereegranskat)
  • 7147.
    Ågerfalk, Pär J.
    Linköpings universitet, Institutionen för datavetenskap, VITS - Laboratoriet för verksamhetsinriktad systemutveckling. Linköpings universitet, Filosofiska fakulteten.
    Information Systems Actability: Understanding Information Technology as a Tool for Business Action and Communication2003Doktorsavhandling, monografi (Övrigt vetenskapligt)
    Abstract [en]

    This dissertation is devoted to a perspective from which IT-based information systems are conceived as information technological artefacts intended for business action and communication. The perspective has been made concrete through the concept of information systems actability, which is the main concept under scrutiny. The research contributions of the dissertation exist at various levels of abstration. First of all, the dissertation contributes to the understanding of information systems from a social action perspective. Based on identified weaknesses in contemporary conceptualizations of information systems, the concept of information systems actability is developed. This contribution consists of a reconciliation of various views on information system usage quality with its roots in a linguistic tradition including elements from organizational semiotics and the language/action perspective. At a more concrete level, this understanding, and the concept as such, have consequences for the development and evaluation of information systems. Such consequences have been the foundation for a proposed information systems design method, which thus constitutes a further contribution. Another contribution is the outlining of an information systems actability. As a further means of obtaining empirical experience of working with this concept, a descriptive analytic framework has been developed, which constitutes yet another contribution. These three operationalizations, the design method, the evaluation method and the analytic framework, have been developed and empirically grounded through a qualitative case study appproach involving four cases of information systems requirements specification, four evaluations of existing information systems, and two cases of description and characterization of information systems related phenomena from the perspective of actability. The latter two cases imply how further contributions at an even more concrete level, constituted by characterizations of Internet-based information systems and the local electronic marketplace, seen in the light of information systems actability.

  • 7148.
    Ågerfalk, Pär J.
    et al.
    Uppsala University.
    Aakhus, MarkRutgers, The State University of New Jersey, USA.Lind, MikaelHögskolan i Jönköping, Internationella Handelshögskolan, IHH, Informatik.
    Proceedings of the Inaugural Meeting of AIS SIGPrag2008Samlingsverk (redaktörskap) (Övrigt vetenskapligt)
  • 7149. Ågerfalk, Pär J.
    et al.
    Aakhus, MarkLind, MikaelHögskolan i Borås, Institutionen Handels- och IT-högskolan.
    Proceedings of the Inaugural Meeting of AIS SIGPrag2008Samlingsverk (redaktörskap) (Övrigt vetenskapligt)
  • 7150. Ågerfalk, Pär J.
    et al.
    Brinkkemper, Sjaak
    Gonzalez-Perez, Cesar
    Henderson-Sellers, Brian
    Karlsson, Fredrik
    Örebro universitet, Institutionen för ekonomi, statistik och informatik.
    Kelly, Steven
    Ralyté, Jolita
    Modularization constructs in method engineering: towards common ground?2007Ingår i: Situational method engineering: fundamentals and experiences / [ed] Jolita Ralyte, Sjaak Brinkkemper, Brian Henderson-Sellers, Berlin: Springer , 2007, 359-368 s.Konferensbidrag (Refereegranskat)
    Abstract [en]

    Although the Method Engineering (ME) research community has reached considerable maturity, it has not yet been able to agree on the granularity and definition of the configurable parts of methods. This state of affairs is causing unnecessary confusion, especially with an ever increasing number of people contributing to ME research. There are several competing notions around, most significantly ‘method fragments’ and ‘method chunks’, but also ‘method components’ and ‘process components’ are used in some quarters and have also been widely published. Sometimes these terms are used interchangeably, but there appears to be important semantic and pragmatic differences. If the differences are unimportant, we should be able to come to an agreement on what construct to promote. Alternatively, the different constructs may serve different purposes and there is a need for them to coexist. If this is the case, it should be possible to pinpoint exactly how they are related and which are useful in what contexts. This panel is a step towards finding common ground in this area, which arguably is at the very core of ME.

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