Making the impact on research and society: a case study - open repository and crowdsourcing solutions developed for the Finno-Ugric Digitization Pilot Project at the National Library of Finland

Jussi-Pekka Hakkaraisen esitys 24. Kansainvälisessä tieteen-, teknologian ja lääketieteen historian kongressissa (24th International Congress of History of Science, Technology and Medicine) Manchesterissa 26.7.2013

Social media and public libraries : exploring information activities of library professionals and users

Social media has become a part of many people’s everyday lives. In the library field the adoption of social media has been widespread and discussions of the development of “Library 2.0” began at an early stage. The aim with this thesis is to study the interface between public libraries, social media, and users, focusing on information activities. The main research question is: How is the interface between public libraries and social media perceived and acted upon by its main stakeholders (library professionals and users)? The background of Library 2.0 is strongly associated with the development of the Web and social media, as well as with the public libraries and their user-centered and information technological development. The theoretical framework builds on the research within the area of Library and Information Science concerning information behavior, information practice, and information activities. Earlier research on social media and public libraries is also highlighted in this thesis. The methods survey and content analysis were applied to map the interface between social media and public libraries. A questionnaire was handed out to the users and another questionnaire was sent out to the library professionals. The results were statistically analyzed. In the content analysis public library Facebook pages were studied. All the empirical investigations were conducted in the area of Finland Proper. An integrated analysis of the results deepens the understanding of the key elements of the social media and public library context. These elements are interactivity, information activities, perceptions, and stakeholders. In this context seven information activities were distinguished: reading, seeking, creating, communicating, informing, mediating, and contributing. This thesis contributes to develop the research concerning information activities and draws a realistic picture of the challenges and opportunities in the social media and public library context. It also contributes with knowledge on library professionals and library users, and the existing differences in their perceptions of the interface between libraries and social media.

It’s a workflow engine. It’s working with linked data. It’s repository! – Supporting electronic thesis related processes in University of Helsinki library

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Library vs publisher vs archive: managing the UK geospatial record

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Building the ‘Digital’ Library: Routes to Managing our Institutional Digital Learning, Teaching and Research Assets Together

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Kramerius - Fedora based open source system for a digital library

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

From library repository to university-wide service: Stanford Digital Repository as a case study

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Biodiversity Heritage Library: a global open repository

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Theses and Dissertations Digital Library: Ten years of Open Access and Open Archives in Brazil

Poster at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Grey literature, green open access: the BLDS Digital Library

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Stiffness based trajectory planning and feedforward based vibration suppression control of parallel robot machines

The dissertation proposes two control strategies, which include the trajectory planning and vibration suppression, for a kinematic redundant serial-parallel robot machine, with the aim of attaining the satisfactory machining performance. For a given prescribed trajectory of the robot's end-effector in the Cartesian space, a set of trajectories in the robot's joint space are generated based on the best stiffness performance of the robot along the prescribed trajectory. To construct the required system-wide analytical stiffness model for the serial-parallel robot machine, a variant of the virtual joint method (VJM) is proposed in the dissertation. The modified method is an evolution of Gosselin's lumped model that can account for the deformations of a flexible link in more directions. The effectiveness of this VJM variant is validated by comparing the computed stiffness results of a flexible link with the those of a matrix structural analysis (MSA) method. The comparison shows that the numerical results from both methods on an individual flexible beam are almost identical, which, in some sense, provides mutual validation. The most prominent advantage of the presented VJM variant compared with the MSA method is that it can be applied in a flexible structure system with complicated kinematics formed in terms of flexible serial links and joints. Moreover, by combining the VJM variant and the virtual work principle, a systemwide analytical stiffness model can be easily obtained for mechanisms with both serial kinematics and parallel kinematics. In the dissertation, a system-wide stiffness model of a kinematic redundant serial-parallel robot machine is constructed based on integration of the VJM variant and the virtual work principle. Numerical results of its stiffness performance are reported. For a kinematic redundant robot, to generate a set of feasible joints' trajectories for a prescribed trajectory of its end-effector, its system-wide stiffness performance is taken as the constraint in the joints trajectory planning in the dissertation. For a prescribed location of the end-effector, the robot permits an infinite number of inverse solutions, which consequently yields infinite kinds of stiffness performance. Therefore, a differential evolution (DE) algorithm in which the positions of redundant joints in the kinematics are taken as input variables was employed to search for the best stiffness performance of the robot. Numerical results of the generated joint trajectories are given for a kinematic redundant serial-parallel robot machine, IWR (Intersector Welding/Cutting Robot), when a particular trajectory of its end-effector has been prescribed. The numerical results show that the joint trajectories generated based on the stiffness optimization are feasible for realization in the control system since they are acceptably smooth. The results imply that the stiffness performance of the robot machine deviates smoothly with respect to the kinematic configuration in the adjacent domain of its best stiffness performance. To suppress the vibration of the robot machine due to varying cutting force during the machining process, this dissertation proposed a feedforward control strategy, which is constructed based on the derived inverse dynamics model of target system. The effectiveness of applying such a feedforward control in the vibration suppression has been validated in a parallel manipulator in the software environment. The experimental study of such a feedforward control has also been included in the dissertation. The difficulties of modelling the actual system due to the unknown components in its dynamics is noticed. As a solution, a back propagation (BP) neural network is proposed for identification of the unknown components of the dynamics model of the target system. To train such a BP neural network, a modified Levenberg-Marquardt algorithm that can utilize an experimental input-output data set of the entire dynamic system is introduced in the dissertation. Validation of the BP neural network and the modified Levenberg- Marquardt algorithm is done, respectively, by a sinusoidal output approximation, a second order system parameters estimation, and a friction model estimation of a parallel manipulator, which represent three different application aspects of this method.