Automatic data collection for enterprise architecture models

Enterprise Architecture (EA) is an approach used to provide decision support based on organization-wide models. The creation of such models is, however, cumbersome as multiple aspects of an organization need to be considered, making manual efforts time-consuming, and error prone. Thus, the EA approach would be significantly more promising if the data used when creating the models could be collected automatically—a topic not yet properly addressed by either academia or industry. This paper proposes network scanning for automatic data collection and uses an existing software tool for generating EA models (ArchiMate is employed as an example) based on the IT infrastructure of enterprises. While some manual effort is required to make the models fully useful to many practical scenarios (e.g., to detail the actual services provided by IT components), empirical results show that the methodology is accurate and (in its default state) require little effort to carry out.     

Crack problems in magnetoelectroelastic solids. Part II: general solution of collinear cracks

In this paper, we study mechanically traction-free and electromagnetically permeable crack problems in infinite magnetoelectroelastic solids with linear coupling between the elastic and electromagnetic fields. Using the Stroh-formalism, we first obtain the general solution for collinear cracks in a magnetoelectroelastic medium subjected to arbitrary loads. Then, we give specific solutions for several examples: finite or infinite number of collinear crack subjected to arbitrary remote loads, and a single crack subjected to a line load at an arbitrary point. It is found that in the most general cases, the singularity of electric-magnetic field is always dependent on that of stress. Especially when the medium is only loaded by the remote uniform field, the intensity factor of stress is the same as that of isotropic materials, and the electric-magnetic field inside any crack is uniform.     

PANGAEA—an information system for environmental sciences

PANGAEA is an information system for processing, long-term storage, and publication of georeferenced data related to earth science fields. Essential services supplied by PANGAEA are project data management and the distribution of visualization and analysis software. Organization of data management includes quality control and publication of data and the dissemination of metadata according to international standards. Data managers are responsible for acquisition and maintenance of data. The data model used reflect the information processing steps in the earth science fields and can handle any related analytical data. The basic technical structure corresponds to a three tiered client/server architecture with a number of comprehensive clients and middleware components controlling the information flow and quality. On the server side a relational database management system (RDBMS) is used for information storage. The web-based clients include a simple search engine (PangaVista) and a data mining tool (ART). The client used for maintenance of information contents is optimized for data management purposes. Analysis and visualization of metainformation and analytical data is supported by a number of software tools, which can either be used as ‘plug-ins’ of the PANGAEA clients or as standalone applications, distributed as freeware from the PANGAEA website. Established and well-documented software tools are the mini-GIS PanMap, the plotting tool PanPlot, and Ocean Data View (ODV) for the exploration of oceanographic data. PANGAEA operates on a long-term basis. The available resources are sufficient not only for the acquisition of new data and the maintenance of the system but also for further technical and organizational developments.     

An interactive computer-based interface to support the discovery of individuals’ mental representations and preferences in decisions problems: An application to travel behavior

Growing emphasis is currently given in decision modeling on process data to capture behavioral mechanisms that ground decision-making processes. Nevertheless, advanced applications to elicit such data are still lacking. The Causal Network Elicitation Technique interview and card-game, both face-to-face interviews, are examples of a behavioral process method to obtain individuals’ decision-making by eliciting temporary mental representations of particular problems. However, to portray and model these representations into formal modeling approaches, such as Bayesian decision networks, an extensive set of parameters has to be gathered for each individual. Thus, data collection procedures for large sample groups can be costly and time consuming. This paper reports on the methodological conversion and enhancement of the existing elicitation methods into a computer-based interface that allows to not only uncover individuals’ mental representations but also to automate the generation of preference parameter elicitation questions. Results of such studies can be used to understand individuals’ constructs and beliefs with respect to decision alternatives, predict individuals’ decision behavior at a disaggregate level, and to assess behavioral changes due to differences in contexts and constraints.     

Combined stack effect in houses and eskers explaining transients in radon source

Concentrations of radon indoors and temperatures indoors and outdoors have been recorded every hour with some interruptions for one 12-week period in a dwelling situated on top of an esker outside Stockholm.The concentration of radon in the house shows variations, which can be explained as a combined stack effect in the esker and in the building.The stack effect is not only dependent on temperature differences, but also on the pressure effect that the wind creates. In this study no local wind observations have been made as this was not the main purpose on this occasion.The temperature in the esker is assumed to be at a constant level equivalent to groundwater temperature.From these data the pressure gradient has been calculated and then compared with the radon source.     

The need for systems development capability in design science research: enabling researcher-systems developer collaboration

Information systems as an artefact-oriented discipline require a strong interaction between researchers, developers and users regarding design of, development of, and the study of the use of digital artefacts in social settings. During recent years, performing research in a design science research spirit has gained increasing interest. In larger scale design research endeavours, access to systems development capabilities becomes necessary. Such a unit, InnovationLab, was established in 2006 in a university setting in Sweden. In this paper we are investigating the 5 years’ experience of running this InnovationLab. Our findings point to an innovation lab being valuable for research in general and especially for design science research. However, in order to balance the business of an innovation lab, it will be necessary to provide services for other stakeholders (such as administrative units, teachers, and students) as a means for developing systems development capability aimed at supporting researchers.     

A review on process-induced distortions of carbon fiber reinforced thermosets for large-scale production

During the manufacturing process of carbon fiber reinforced plastics, residual stresses and shape distortions occur. Analytical or numerical models can be employed to accurately predict these stresses and deformations. For a virtual compensation of a part’s geometry, an understanding of the main driving mechanisms behind process-induced distortions is essential. The present study shows main sources as well as influencing factors on stresses and distortions that arise during large-scale production of composites based on thermoset resin systems. Besides basic information on the thermal, chemical and mechanical behavior of thermoset resins and carbon fibers, state-of-the-art numerical approaches are reviewed with a focus on finite element discretization and constitutive modeling. Current virtual compensation strategies as well as possible influences of the forming operation are discussed. Finally, a conclusion is drawn that includes recommendations for future developments in the field of process-induced distortions.     

国际投资广场

国际投资广场是北京的一个新区域，它为现代商住混合的城市提供了一个高效而可持续发展的场所。 场地位于五六环之间的亦庄经济技术开发区的核心地带。在UNStudio的总体规划中，国际投资广场的布局带有一些对中国传统生活方式的隐喻，同时也表达了保持独立性与邻里在社交相平衡的当代生活观念。