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Search: hsv:(NATURVETENSKAP) hsv:(Data och informationsvetenskap) > Mid Sweden University

  • Result 1-10 of 1483
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1.
  • Butun, Ismail, 1981, et al. (author)
  • A Review of Distributed Access Control for Blockchain Systems towards Securing the Internet of Things
  • 2021
  • In: IEEE Access. - 2169-3536 .- 2169-3536. ; 9, s. 5428-5441
  • Research review (peer-reviewed)abstract
    • As the Internet of Things (IoT) paradigm gets more attention from academia and industry, implementation tools of IoT will be explored more and more. One example is the applicability of blockchain systems to provide security and privacy of IoT networks, which is the topic of this article. Blockchain systems are on the rise, as crypto-currency payment systems (such as Bitcoin, Litecoin, etc.) boomed in the last few years due to their attractive de-centralized and anonymous features. As in every transaction, access of the users to IoT systems needs to be controlled. However, these systems are peer-to-peer systems and do not have centralized control, which means that traditional access control techniques will not be optimal. As a result, distributed access control schemes are needed and this paper aims at providing the state of the art in the literature. Thereby, we introduce and discuss the details and applicability of centralized (rolebased) and distributed (threshold-signature, reputation, trusted-computing, identity, capability, ACL, groupsignature, and hybrid) access control schemes to blockchain systems under the IoT ecosystems. Moreover, permissioned vs. permissionless blockchain systems are also discussed. Finally, challenges and research directions related to the application of all those presented blockchain systems to IoT are discussed.
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2.
  • Sutinen, Martti, et al. (author)
  • Web-Based Analytical Decision Support System
  • 2010
  • In: Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10. - : IEEE conference proceedings. - 9781424481347 - 9781424481354 ; , s. 575-579
  • Conference paper (peer-reviewed)abstract
    • This paper presents a web-application supporting structured decision modelling and analysis. The application allows for decision modelling with respect to different preferences and views, allowing for numerically imprecise and vague background probabilities, values, and criteria weights, which further can be adjusted in an interactive fashion when considering calculated decision outcomes. The web-application is based on a decision tool that has been used in a large number of different domains over the last 15 years, ranging from investment decision analysis for companies to public decision support for local governments.
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3.
  • Yu, Kan, et al. (author)
  • REALFLOW : Reliable Real-Time Flooding-Based Routing Protocol for Industrial Wireless Sensor Networks
  • 2014
  • In: International Journal of Distributed Sensor Networks. - : SAGE Publications. - 1550-1329 .- 1550-1477. ; , s. art. nbr: 936379-
  • Journal article (peer-reviewed)abstract
    • Wireless technologies have been increasingly applied in industrial automation systems due to flexible installation, mobility, and cost reduction. Unlike traditional wireless sensor networks (WSNs), industrial wireless sensor networks (IWSNs), when expanding from wireless monitoring to wireless control, have more stringent requirements on reliability, real-time performance, and robustness in a number of industrial applications. Successive transmission failures or deadline misses in these applications may severely degrade the control quality and result in serious economic losses and safety problems. Therefore, when deploying IWSNs in harsh industrial environments, to achieve reliable and deterministic end-to-end transmissions is critically important. In this paper, we explain the primary challenges of designing appropriate routing protocols and present a reliable real-time flooding-based routing protocol for IWSNs (REALFLOW). Instead of traditional routing tables, related node lists are generated in a simple distributed manner, serving for packet forwarding. A controlled flooding mechanism is applied to improve both reliability and real-time performance. A seamless transition in the event of topology change can be achieved by REALFLOW. Performance evaluations via simulations verify that significant improvements of reliability, real-time performance, and network recovery time can be achieved by REALFLOW, compared with traditional routing protocols.
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4.
  • Danielson, Mats, et al. (author)
  • Public Decision Support - Using a DSS to Increase Democratic Transparency
  • 2005
  • In: International Journal of Public Information Systems. - Sundsvall : Mittuniversitetet. - 1653-4360. ; 1:1, s. 3-25
  • Journal article (peer-reviewed)abstract
    • We present a case study in which a decision support method (ADL) was employed by a local government in order to guide and aid decisions on three complicated and politically infected issues which had remained unresolved for many years. The research inquiry was whether a well-defined and openly accessible method would aid a common understanding of the decision problems, and whether people would be able to accept a clearly motivated decision even if politically they preferred a different option. The ADL method has been used in several public sector projects ranging from very large purchasing decisions to the selection of national policies, but this test case was novel in that it involved close inspection by the public. This case was also devised as a test of new methods for potential inclusion into normal practices. The post-case analysis shows mixed understanding of and belief in the method. The results raise issues concerning both the potential for decision support methods in a political context and the nature of political decision making.
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5.
  • Hansson, Karin, et al. (author)
  • A framework for evaluation of flood management strategies
  • 2008
  • In: Journal of Environmental Management. - : Elsevier BV. - 0301-4797 .- 1095-8630. ; 86:3, s. 465-480
  • Journal article (peer-reviewed)abstract
    • The resulting impact of disasters on society depends on the affected country's economic strength prior to the disaster. The larger the disaster and the smaller the economy, the more significant is the impact. This is clearest seen in developing countries, where weak economics become even weaker afterwards. Deliberate strategies for the sharing of losses from hazardous events may aid a country or a community in efficiently using scarce prevention and mitigation resources, thus being better prepared for the effects of a disaster. Nevertheless, many governments lack an adequate institutional system for applying cost effective and reliable technologies for disaster prevention, early warnings, and mitigation. Modelling by event analyses and strategy models is one way of planning ahead, but these models have so far not been linked together. An approach to this problem was taken during a large study in Hungary, the Tisza case study, where a number of policy strategies for spreading of flood loss were formulated. In these strategies, a set of parameters of particular interest were extracted from interviews with stakeholders in the region. However, the study was focused on emerging economies, and, in particular, on insurance strategies. The scope is now extended to become a functional framework also for developing countries. In general, they have a higher degree of vulnerability. The paper takes northern Vietnam as an example of a developing region. We identify important parameters and discuss their importance for flood strategy formulations. Based on the policy strategies in the Tisza case, we extract data from the strategies and propose a framework for loss spread in developing and emerging economics. The parameter set can straightforwardly be included in a simulation and decision model for policy formulation and evaluation, taking multiple stakeholders into account.
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6.
  • Seyed Jalaleddin, Mousavirad, et al. (author)
  • RWS-L-SHADE : An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation
  • 2022
  • In: Lecture Notes in Computer Science, vol. 13324. - Cham : Springer Science and Business Media Deutschland GmbH. - 9783031024610 ; , s. 255-268
  • Conference paper (peer-reviewed)abstract
    • Differential evolution (DE) is widely used for global optimisation problems due to its simplicity and efficiency. L-SHADE is a state-of-the-art variant of DE algorithm that incorporates external archive, success-history-based parameter adaptation, and linear population size reduction. L-SHADE uses a current-to-pbest/1/bin strategy for mutation operator, while all individuals have the same probability to be selected. In this paper, we propose a novel L-SHADE algorithm, RWS-L-SHADE, based on a roulette wheel selection strategy so that better individuals have a higher priority and worse individuals are less likely to be selected. Our extensive experiments on the CEC-2017 benchmark functions and dimensionalities of 30, 50 and 100 indicate that RWS-L-SHADE outperforms L-SHADE. 
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7.
  • Danielson, Mats, et al. (author)
  • A second-order-based decision tool for evaluating decisions under conditions of severe uncertainty
  • 2020
  • In: Knowledge-Based Systems. - : Elsevier BV. - 0950-7051 .- 1872-7409. ; 191
  • Journal article (peer-reviewed)abstract
    • The requirement to assign precise numerical values to model entities such as criteria weights, probabilities, and utilities is too strong in most real-life decision situations, and hence alternative representations and evaluation mechanisms are important to consider. In this paper, we discuss the DecideIT 3.0 state-of-the-art software decision tool and demonstrate its functionality using a real-life case. The tool is based on a belief mass interpretation of the decision information, where the components are imprecise by means of intervals and qualitative estimates, and we discuss how multiplicative and additive aggregations influence the resulting distribution over the expected values.
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8.
  • Humble, Niklas, et al. (author)
  • Design science for Small Scale Studies : Recommendations for Undergraduates and Junior Researchers
  • 2023
  • In: European Conference on Research Methodology for Business and Management Studies. - Reading (UK) : Academic Conferences and Publishing International Limited. - 9781914587719 - 9781914587726 ; , s. 87-92
  • Conference paper (peer-reviewed)abstract
    • Design science is a research methodology that can be applied for both small scale studies at undergraduate level and for large scale application in the industry. Design science is a research methodology with several branches, with slightly different processes built around a common foundation. This paper has a focus on the branch developed by Johannesson and Perjons, and the five-phase model that is included in this branch: 1) explicate problem, 2) define requirements, 3) design and develop artefact, 4) demonstrate artefact, and 5) evaluate artefact. All these five phases must of course be carried out in a complete large-scale project in many real-world developments. However, the problem with applying a design science research project for undergraduates is that a thorough implementation of all the five phases is often too demanding for a Bachelor’s or a Master's thesis. A reason for this is that several of the phases are better carried out in an iterative manner to obtain a quality result, which is time-consuming. The aim of this paper is to discuss the challenges and opportunities in applying design science for small scale studies, such as those conducted by undergraduates in their theses or by researchers new to the field. Based on this discussion, the paper concludes with a set of recommendations for how the design science methodology can be modified and applied to accommodate these smaller studies. The main recommendation is, as the principle for quality research, to delimit and to choose a specific focus that is carried out in depth. Some examples of focuses, that also are recommended by Johannesson and Perjons, are requirements and development focused design science research or evaluation focused design science research. An interesting follow-up to this position paper would be to study the application of design science in Bachelor’s theses and where the emphasis is placed? Moreover, it would be interesting to investigate how design science is applied by researchers and compare if their emphasis in the design science methodology differs from that of undergraduates.
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9.
  • Ekenberg, Love, et al. (author)
  • Second order effects in interval valued decision graph models
  • 2005
  • In: Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence. - : AAAI Press. - 1577352343 ; , s. 728-733
  • Conference paper (peer-reviewed)abstract
    • Second-order calculations may significantly increase a decision maker's understanding of a decision situation when handling aggregations of imprecise representations, as is the case in decision trees or influence diagrams, while the use of only first-order results gives an incomplete picture. The results apply also to approaches which do not explicitly deal with second-order distributions, instead using only first-order concepts such as upper and lower bounds.
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10.
  • Mozelius, Peter, Docent, 1959-, et al. (author)
  • On the Use of Generative AI for Literature Reviews : an Exploration of Tools and Techniques
  • 2024
  • In: 23<sup>rd</sup> European Conference on Research Methodology for Business and Management Studies. - Porto : Academic Conferences and Publishing International Limited. ; , s. 161-168, s. 161-168, s. 161-168
  • Conference paper (peer-reviewed)abstract
    • To carry out a literature review often involves hard and tedious work.  There is a tradition of using facilitating tools, that extended to the AI field in 2018 when iris.ai appeared. Today, in the emerging field of Generative AI tools based on Large Language Models, there has been rapid development of new literature search tools and approaches. This study has the aim of exploring this vast array of Generative AI tools, in a literature study where some of the found tools were used to facilitate the selection of relevant publication. Three research questions guided this study: RQ1) "What Generative AI tools can be found in literature?", RQ2) "Which of these tools could be of use in the literature review conducted in this study, and how?", and RQ3) "What are the ethical aspects of using Generative AI tools in literature studies?” The approach has been a scoping review, built around a search that combined the keywords: "AI supported", "AI generated", "AI based" and "Literature review". An initial result set was filtered with inclusion exclusion criteria in a strive for an interesting quality answer to the research questions. However, most publications that passed the filtering lacked any potential to contribute to answer the research questions. The most interesting finding in the first search was a hint about the new feature 'Scopus AI'. A new search with the Scopus AI tool resulted in a small but very relevant set of publications. These publications were analysed in a deductive inductive thematic analysis, and primary sorted into the categories of: 'Generative AI Tools', 'Supportive AI Techniques', and 'Ethical Issues'. Findings indicate that there is a wide variety of tools that can facilitate the skimming process of a literature, and to provide adequate summaries of retrieved publication. However, authors recommendation is to keep the tools on the facilitating support level, and that the main analysis and conclusion should be human conducted. With this, rather traditional approach, researchers will have clearly less ethical issues to consider. Finally, the ethical aspects of Generative AI tools in research ought to be investigated more in detail, in a separate future study.  
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