Blekinge Institute of Technology

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    1855 research outputs found

    The Social Dimension of Strategic Sustainable Development

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    Sustainable development most prominently entered the global political arena in 1987 in a report from the United Nations Commission on Environment and Development, also known as the Brundtland report. In response to the concept of sustainable development, a vast array of ideas, concepts, methods and tools to aid organizations and governments in addressing the socio-ecological problems has been developed. Though helpful in many contexts, the multitude of such support also risks creating confusion, not the least since there is no generally endorsed overriding and operational definition of sustainability. Thus, there is a growing need for such a definition and for an understanding of how these ideas, concepts, methods and tools relate to sustainability and to each other. A framework for strategic sustainable development (FSSD) has been developed over the last 20 years to create such a unifying structure. The aim of this research is to contribute specifically to the social sustainability definition of this framework. The research follows the Design Research Methodology. First, the social dimension of the FSSD as it stands currently was examined and described as was the general field of social sustainability. Then, a new approach to the social side of the FSSD was created. The studies revealed that the field of social sustainability, in general, is vastly under-theorized and under-developed, and that a clear framework is important and desired. They also laid out in which ways specifically the structure of the FSSD could be used to further develop the social dimension of strategic planning and innovation, and that currently this aspect of the FSSD is relatively under-developed. This assessment was followed by a first attempt at a clearer definition of social sustainability. Based on these explorations, this research suggests five principles as a hypothesis to be used as a definition of social sustainability, the key-terms of which being ’integrity’, ‘influence’, ‘competence’, ‘impartiality’ and ‘meaning’. For validity purposes the results were cross-checked with other approaches and theories. The validity check shows that similar key-terms have been found by other researchers. In conclusion, this research contributes with a hypothesis for a clearer definition of social sustainability, which is general enough to be applied irrespective of spatial and temporal constraints, but concrete enough to guide decision-making. This is a contribution to systems science in the sustainability field and it is a step to creating an enhanced support for strategic planning and innovation for sustainability. Further testing and refinement of this theoretical foundation, and bringing it into practical use, will be the subject of the continued studies

    Adaptive Fingerprint Image Enhancement With Emphasis on Preprocessing of Data

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    This article proposes several improvements to an adaptive fingerprint enhancement method that is based on contextual filtering. The term adaptive implies that parameters of the method are automatically adjusted based on the input fingerprint image. Five processing blocks comprise the adaptive fingerprint enhancement method, where four of these blocks are updated in our proposed system. Hence, the proposed overall system is novel. The four updated processing blocks are: 1) preprocessing; 2) global analysis; 3) local analysis; and 4) matched filtering. In the preprocessing and local analysis blocks, a nonlinear dynamic range adjustment method is used. In the global analysis and matched filtering blocks, different forms of order statistical filters are applied. These processing blocks yield an improved and new adaptive fingerprint image processing method. The performance of the updated processing blocks is presented in the evaluation part of this paper. The algorithm is evaluated toward the NIST developed NBIS software for fingerprint recognition on FVC databases

    Identification of Influential Factors on Android Smartphone-Based Video Quality of Experience

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    Mobile handheld devices have become friends in people’s daily lives. Frequent usage of available applications, especially video streaming, causes exponential growth in mobile IP traffic. Service providers and application developers need to know the tradeoff between the end-to-end (e2e) performance and cost since, not fully met expectations of customers from those applications cause reduced usage of services, revenue, and growth in the churn rate. The user-centric approach, which involves users into the assessment of the performance of a particular service or application, has become important within the inter-disciplinary research field Quality of Experience (QoE). The ultimate goal is to obtain simplified QoE models on particular applications based on the underlying network-based performance metrics as well as other non-technical metrics related to the end-user. Android smartphones that use open-source code and well-documented Application Programming Interfaces (API), facilitate researchers to do low-level and network-based performance analysis on end-user mobile devices while considering user feedback. In this thesis, the influential factors for Android smartphone-based QoE are studied. The relation between the quantified user-perceived QoE metric, i.e., Mean Opinion Score (MOS), and the artifacts in real-time video streaming such as blockiness and jerkiness caused by network-level metrics, e.g., Packet Delay Variation (PDV), Maximal Burst Size (MBS), and video bit rate are identified. Challenges in assessing the user-perceived QoE of video with the focus on memory effects are discussed. The relation between the objective metric of user reaction time and the user-perceived QoE is presented. Furthermore, different methods to assess end-user-perceived QoE such as Day Reconstruction Method (DRM), Experience Sampling Method (ESM), and preliminary online survey are described. Further influential factors, e.g., context, user routines, user lifestyle, and Quality of Service (QoS) metrics such as Round Trip Time (RTT) and Server Response Time (SRT), are studied. The thesis is concluded with preliminary findings that relate the instantaneous total power consumption to the jerkiness of a real-time video stream with evidences such as stalling events

    Loneliness Among Older People: Results from the Swedish National Study on Aging and Care – Blekinge

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    Abstract: Objectives: To investigate the prevalence and predictors of loneliness in older people (aged 78+) over a sixyear period. Method: The sample (n=828) was drawn from the Swedish National Study on Aging and Care and the respondents were followed up at three and six years. Data were collected by means of structural interviews with supplementary questionnaires. Results: Half of the respondents reported that they felt lonely sometimes or more often. Women, widows/-ers living alone were more prone to report loneliness. Both independent associated factors and predictors were identified showing that loneliness is associated with and predicted by both physical and psychosocial outcomes. Discussion: Loneliness is common among older people and seems to be a steady state affected mainly by psychological and psychosocial factors such as personality, satisfaction with life, risk of depression, lack of friends and loss of spouse. Psychosocial interventions targeting emotional loneliness and social isolation are suggested

    Potential fields in maritime anomaly detection

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    This paper presents a novel approach for pattern extraction and anomaly detection in mari- time vessel traffic, based on the theory of potential fields. Potential fields are used to rep- resent and model normal, i.e. correct, behaviour in maritime transportation, observed in historical vessel tracks. The recorded paths of each maritime vessel generate potentials based on metrics such as geographical location, course, velocity, and type of vessel, resulting in a potential-based model of maritime traffic patterns. A prototype system STRAND, developed for this study, computes and displays distinctive traffic patterns as potential fields on a geographic representation of the sea. The system builds a model of normal behaviour, by collating and smoothing historical vessel tracks. The resulting visual presentation exposes distinct patterns of normal behaviour inherent in the recorded maritime traffic data. Based on the created model of normality, the system can then perform anomaly detection on current real-world maritime traffic data. Anomalies are detected as conflicts between vessel’s potential in live data, and the local history-based potential field. The resulting detection performance is tested on AIS maritime tracking data from the Baltic region, and varies depending on the type of potential. The potential field based approach contributes to maritime situational awareness and enables automatic detection. The results show that anomalous behaviours in maritime traffic can be detected using this method, with varying performance, necessitating further study

    Another possibility to focus moving targets by normalized relative speed in UWB SAR

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    The paper presents another possibility to focus moving targets using normalized relative speed (NRS). Similar to the currently used focusing approach, the focusing approach proposed in this paper aims at the ultrawideband and ultrawidebeam synthetic aperture radar systems (UWB SAR) like CARABAS-II. The proposal is shown to overcome the shortcomings of the original focusing approach and can be extended to more complicated cases, for example bistatic SAR

    Analytics for Product Planning: In-depth Interview Study with SaaS Product Managers

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    SaaS cloud computing, in contrast to packaged products, enables permanent contact between users of a software product and the product-owning company. When planning the development and evolution of a software product, a product manager depends on reliable information about feature attractiveness. So far, planning decisions were based on stakeholder opinion and the customer's willingness to buy. Whether or not a feature actually is used was out of consideration. Analytics that measure the interaction between users and the SaaS gives product managers unprecedented access to information about product usage. To understand whether and how SaaS analytics can be used for product planning decision, we performed 17 in-depth interviews with experienced managers of SaaS products and analyzed the results analyzed with a mixed-method strategy. The empirical results characterize the relevance of a broad range of analytics for product planning decisions, and the strengths and limitations of an analytics-based product planning approach

    Characteristics and performance of new firms and spinoffs in Sweden

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    We analyse the rate of formation, the characteristics, and the performance of different types of new firms in Sweden over a decade. Comparisons with Denmark, Brazil, and the United States suggest that the environment for new firm formation in Sweden is not markedly different than elsewhere. In line with previous studies, spin-offs of incumbents perform better than other types of new firms, particularly if their parent firm continues to operate. A novel finding is that the larger the size of their parent, the greater is the rate of employment growth of spin-offs. This contrasts sharply with findings for firms with a single owner

    Making Plans - Telling Stories: Planning in Karlskrona/Sweden 1980 - 2010

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    The aim of this thesis is to understand how a repertoire of municipal planning narratives evolved and how these were used as a means to explain, legitimise and produce change in a city that went through a process of urban transformation. The focus is set on the role of narratives in municipal plans as a mental preparation for change. In order to reach this aim, a framework for narrative analysis is developed that shall facilitate a critical reading of such municipal planning documents as comprehensive plans. This shall help to understand among other things how place and community are constructed. This framework is used to interpret four documents of the municipality of Karlskrona, one introductory guide for new inhabitants from 1980, and three consecutive comprehensive plans, adopted in 1991, 2002 and 2010. In short, the narrative analysis consists of four different ways of reading each respective document. First, more or less coherent narratives are identified in the texts. Second, they are analysed with respect to their literary and rhetoric form, in a way that is inspired by historian and literary theorist Hayden White. A third reading places the documents’ narratives into their historical context. Finally, they are classified as certain narratives of place identity on the basis of a typology developed by sociologist Manuel Castells. He states that identities can be constructed with help of narratives that legitimise the existing societal structures, that stand in opposition to these structures, or that create a new identity out of available resources. Based on these readings, I find that the four documents use very different literary and rhetorical forms and that they construct the place’s identity in ways clearly distinct from each other. They express various moral and political perspectives and convey clearly distinct social norms regarding the role of inhabitants and the municipality. Over the decades, there has been a clear shift of expressed values from those that support a leading role of the (local) state in fostering local development to those that highlight the importance of market actors and market forces. A similar change has occurred from the pronunciation of state responsibility for the inhabitant’s well-being to a greater focus on individual responsibility. This confirms the notion that municipal planning is increasingly influenced by ideas of neoliberal development. It could also be observed that storytelling and a purposeful narrative construction of place identity have become more prominent as instruments of planning. Planning narratives were clearly used to explain and legitimise shifts or persistence in municipal policymaking. Due to this it can be concluded that in the eyes of local policy makers, the municipality seems to have gone through a complete process of urban transformation from being in a state of decline to one of stabilised growth

    Making social interactions accessible in online social networks

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    Online Social Networks (OSNs) have changed the way people use the internet. Over the past few years these platforms have helped societies to organize riots and revolutions such as the Arab Spring or the Occupying Movements. One key fact in particular is how such events and organizations spread through out the world with social interactions, though, not much research has been focused on how to efficiently access such data and furthermore, make it available to researchers. While everyone in the field of OSN research are using tools to crawl this type of networks our approach differs significantly from the other tools out there since we are getting all interactions related to every single post. In this paper we show means of developing an efficient crawler that is able to capture all social interactions on public communities on OSNs such as Facebook

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