Blekinge Institute of Technology

Electronic Research Archive - Blekinge Tekniska Högskola
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    1855 research outputs found

    VMI-PL: A monitoring language for virtual platforms using virtual machine introspection

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    With the growth of virtualization and cloud computing, more and more forensic investigations rely on being able to perform live forensics on a virtual machine using virtual machine introspection (VMI). Inspecting a virtual machine through its hypervisor enables investigation without risking contamination of the evidence, crashing the computer, etc. To further access to these techniques for the investigator/researcher we have developed a new VMI monitoring language. This language is based on a review of the most commonly used VMI-techniques to date, and it enables the user to monitor the virtual machine's memory, events and data streams. A prototype implementation of our monitoring system was implemented in KVM, though implementation on any hypervisor that uses the common x86 virtualization hardware assistance support should be straightforward. Our prototype outperforms the proprietary VMWare VProbes in many cases, with a maximum performance loss of 18% for a realistic test case, which we consider acceptable. Our implementation is freely available under a liberal software distribution license

    A systematic literature review of cloud computing in eHealth

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    Cloud computing in eHealth is an emerging area for only few years. There needs to identify the state of the art and pinpoint challenges and possible directions for researchers and applications developers. Based on this need, we have conducted a systematic review of cloud computing in eHealth. We searched ACM Digital Library, IEEE Xplore, Inspec, ISI Web of Science and Springer as well as relevant open-access journals for relevant articles. A total of 237 studies were first searched, of which 44 papers met the Include Criteria. The studies identified three types of studied areas about cloud computing in eHealth, namely (1) cloud-based eHealth framework design (n=13); (2) applications of cloud computing (n=17); and (3) security or privacy control mechanisms of healthcare data in the cloud (n=14). Most of the studies in the review were about designs and concept-proof. Only very few studies have evaluated their research in the real world, which may indicate that the application of cloud computing in eHealth is still very immature. However, our presented review could pinpoint that a hybrid cloud platform with mixed access control and security protection mechanisms will be a main research area for developing citizen centred home-based healthcare applications

    Cooperative multiple-access scheme with antenna selection and incremental relaying

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    A cooperative multiple-access scheme for wireless communications systems with antenna selection and incremental relaying is proposed. The scheme aims to improve the system throughput while preserving good performance in terms of bit error rate. The system consists of N nodes which send their information to both the destination node and the multiple-antenna relay station. Based on the channel state information, the destination node decides whether or not relaying will be performed. When the relaying is performed, the decode-remodulate-and-forward protocol is used with the best antenna. Results reveal that the proposed scheme achieves a good tradeoff between throughput and bit error rate, which makes suitable to be considered for multi-user networks

    In press: An Elicitation Instrument for Operationalising GQM+Strategies (GQM+S-EI)

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    Context: A recent approach for measurement program planning, GQM+Strategies, provides an important extension to existing approaches linking measurements and improvement activities to strategic goals and ways to achieve these goals. There is a need for instruments aiding in eliciting information from stakeholders to use GQM+Strategies. The success of GQM+Strategies highly depends on accurately identifying goals, strategies and information needs from stakeholders. Objective: The research aims at providing an instrument (called GQM+SEI), aiding practitioners to accurately elicit information needed by GQM+Strategies (capturing goals, strategies and information needs). Method: The research included two phases. In the first phase, using action research method, the GQM+S-EI was designed in three iterations in Ericsson AB. Thereafter, a case study was conducted to evaluate whether the information elicited with the designed instrument following the defined process was accurate and complete. Results: We identified that the industry requires elicitation instruments that are capable to elicit information from stakeholders, not having to know about the concepts (e.g. goals and strategies). The case study results showed that our proposed instrument is capable of accurately and completely capturing the needed information from the stakeholders. Conclusions: We conclude that GQM+S-EI can be used for accurately and completely eliciting the information needed by goal driven measurement frameworks. The instrument has been successfully transferred to Ericsson AB for measurement program planning

    Using 3D CAD models for value visualization: an approach with SIEMENS NX HD3D Visual Reporting

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    Recent literature in Systems Engineering has suggested the use of “value” to drive decision-making activities during preliminary design, in particular when choosing technologies and components for a complex system. However, to correctly evaluate design trade-offs, a visual link has to be established between the results of the value model and a product shape/geometry. This paper proposes the use of color-coded 3D CAD models to support the visualization of value analysis results in a Stage-Gate® process. The approach has been developed and exemplified within a case study related to the design of an aero-engine component, and has been demonstrated using SIEMENS NX HD3D Visual Reporting. The results of verification activities conducted in a laboratory setting show that the use of color-coded 3D CAD models increases the decision makers’ awareness of value-related information in a Stage-Gate process

    In press: Generalized upper bounds on the minimum distance of PSK block codes

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    This paper generalizes previous optimal upper bounds on the minimum Euclidean distance for phase shift keying (PSK) block codes, that are explicit in three parameters: alphabet size, block length and code size. The bounds are primarily generalized from codes over symmetric PSK to codes over asymmetric PSK and also to general alphabet size. Furthermore, block codes are optimized in the presence of other types of noise than Gaussian, which induces also non-Euclidean distance measures. In some instances, codes over asymmetric PSK prove to give higher Euclidean distance than any code over symmetric PSK with the same parameters. We also provide certain classes of codes that are optimal among codes over symmetric PSK

    In press: Factors influencing Internet usage in older adults (65 years and above) living in rural and urban Sweden

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    Older adults living in rural and urban areas have shown to distinguish themselves in technology adoption; a clearer profile of their Internet use is important in order to provide better technological and health-care solutions. Older adults' Internet use was investigated across large to midsize cities and rural Sweden. The sample consisted of 7181 older adults ranging from 59 to 100 years old. Internet use was investigated with age, education, gender, household economy, cognition, living alone/or with someone and rural/urban living. Logistic regression was used. Those living in rural areas used the Internet less than their urban counterparts. Being younger and higher educated influenced Internet use; for older urban adults, these factors as well as living with someone and having good cognitive functioning were influential. Solutions are needed to avoid the exclusion of some older adults by a society that is today being shaped by the Internet

    Building up a Virtual Community for Home-Based Chronic Diseases Healthcare

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    With the development of Internet, social networks get more and more popular, it brings us an idea of designing a virtual community for home-based chronic diseases healthcare. In this paper, we conduct a questionnaire to gather the requirements of the community and describe them with user stories. Afterwards, a conceptual prototype is developed based on the requirements. The proposed virtual community involves healthcare providers, healthcare recipients and other people relevant to the home-based healthcare into one platform. It will solve the interoperability problems of current healthcare systems, as well as provide a technical solution of home-based healthcare

    A study on quantitative freight transport analysis models in Denmark and Sweden

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    Purpose The aim of this paper is to present a study on freight transport analysis models. The purpose is to identify different stakeholders’ perceptions of existing models, e.g., strengths and weaknesses, and of their requirements and views on future models. Design/methodology/approach The study is based on a questionnaire and interviews with representatives of public authorities, consultancy companies, and universities in Sweden and Denmark. Findings The study shows that there is a need for freight analysis models for supporting the transport planning in public authorities, including impact assessment of actions and estimation of freight flows. The respondents work mainly with macro-level models, whose main strength is their large geographic scopes, which allow comparative studies on, e.g., the national level using one model. Weaknesses include poor quality, missing functionality, and inadequate user-friendliness. In order to achieve improved freight transport analysis, the respondents wish to include more detailed logistics aspects in their analyses, which could possibly be achieved by combining macro-level and agent-based models. Research limitations/implications The limitation of this study is that we only included Danish and Swedish respondents, who mainly work with macro-level models. Moreover, only one Danish person answered the questionnaire. However, the respondent group represent a wide knowledge on freight and passenger transport models, and the study concerns to a large extent model types, not only particular models. Therefore, we argue that our findings have a wider geographic applicability. Practical implications The outcome of our study might be used by researchers and public authorities in order to, e.g., guide the decision-making on future model development: the views of the model users and clients are important to consider in order to assure that the development and research efforts lead to fulfilling their needs. Original/value The presented work provides insight into the needs and attitudes of model users and clients involved in freight transport analysis. This knowledge is important, e.g., for researchers involved in model development. According to the best of our knowledge, there is no previous study like the one presented

    Overcoming the equivalent mutant problem: A systematic literature review and a comparative experiment of second order mutation

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    Context. The equivalent mutant problem (EMP) is one of the crucial problems in mutation testing widely studied over decades. Objectives. The objectives are: to present a systematic literature review (SLR) in the field of EMP; to identify, classify and improve the existing, or implement new, methods which try to overcome EMP and evaluate them. Method. We performed SLR based on the search of digital libraries. We implemented four second order mutation (SOM) strategies, in addition to first order mutation (FOM), and compared them from different perspectives. Results. Our SLR identified 17 relevant techniques (in 22 articles) and three categories of techniques: detecting (DEM); suggesting (SEM); and avoiding equivalent mutant generation (AEMG). The experiment indicated that SOM in general and JudyDiffOp strategy in particular provide the best results in the following areas: total number of mutants generated; the association between the type of mutation strategy and whether the generated mutants were equivalent or not; the number of not killed mutants; mutation testing time; time needed for manual classification. Conclusions. The results in the DEM category are still far from perfect. Thus, the SEM and AEMG categories have been developed. The JudyDiffOp algorithm achieved good results in many areas

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    Electronic Research Archive - Blekinge Tekniska Högskola
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