Entity

Time filter

Source Type

Halmstad, Sweden

Halmstad University or Halmstad University College is a University college in Halmstad, Sweden. It was established in 1983. Halmstad University is a public higher education institution offering bachelor's and master's programs in various fields of studies. In addition, it conducts Ph.D. programs in three fields of research, namely, Information Technology, Innovation Science and Health Science. Wikipedia.


Pedersen E.,Halmstad University
Noise Control Engineering Journal | Year: 2011

Wind farms are a new source of environmental noise. The impact of wind turbine noise on health and well-being has not yet been well-established and remains under debate. Long-term effects, especially, are not known, because of the short time wind turbines have been operating and the relatively few people who have so far been exposed to wind turbine noise. As the rate of new installations increases, so does the number of people being exposed to wind turbine noise and the importance of identifying possible adverse health effects. Data from three cross-sectional studies comprising A-weighted sound pressure levels of wind turbine noise, and subjectively measured responses from 1,755 people, were used to systematically explore the relationships between sound levels and aspects of health and well-being. Consistent findings, that is, where all three studies showed the same result, are presented, and possible associations between wind turbine noise and human health are discussed. © 2011 Institute of Noise Control Engineering. Source


Linge L.,Halmstad University
International Journal of Qualitative Studies on Health and Well-being | Year: 2013

The present meta-analysis focuses on a 7-year research project entitled ''Hospital clowns in encounters with ailing children'' and funded by the Swedish Childhood Cancer Foundation. The aim of the meta-analysis, which is based on the project's three studies, was to attempt to achieve a deeper psychological and more nuanced understanding of the unique encounters taking place between the hospital clowns and ailing children in the study. The methodological procedures were qualitative and included 51 interviews with four informant groups: the clowns, staff, children, and their parents. The metaanalysis revealed the unique aspects of hospital clowns' work with respect to: a) a quality of care that transcends boundaries, that is, a magical safe area where demands and adjustment were temporarily set aside and where the lighter side of life took precedence; b) a non-demanding quality of care, where joy could be experienced without requiring something in return, where the child's terms mattered and where the child perspective was clearly in focus; and c) a defusing quality of care, which is expressed as a positive counterweight that was otherwise lacking in medical care, where the hospital clowns used different solutions that bypassed regular hospital routines by temporarily distracting and making things easier for the children, parents, and staff in various care situations. Finally, the aim of the theoretical framework, in its synthesizing form, was to promote further psychological understanding of the area of humor that exists between fantasy and realityan intermediate or transitional area that the hospital clowns created together with the children. In this transitional area, the hospital clowns' unique contribution can be interpreted, in psychological terms, as being available as a vicarious therapeutic clown figure in a magical world that parallels reality. © 2013 L. Linge. Source


Baath L.B.,Halmstad University
Renewable Energy | Year: 2013

This paper presents observations of audio noise in frequency range 20-20 000 Hz from wind turbines. The observations were performed around the theoretically calculated 40 dBA noise perimeter around the wind turbine farm at Oxhult, Sweden. This paper describes a newly designed and constructed a field qualified data acquisition system to measure spectra and total noise level of sound from wind turbines. The system has been calibrated at SP Borås. It is shown that it has a flat frequency response and is linear with amplitude and time.The total noise level (as integrated 20-20 000 Hz) is shown to be below 35 dBA (below the reference background noise at 36 dBA) at a 10 m altitude wind speed of 4-5 m/s. The measurements were made along the theoretical 40 dBA border at 8 m/s.It is concluded that the theoretical 40 dBA border seems reasonable calculated if the manufacturer specifications are used to extrapolate the sound level to correspond to 8 m/s at 10 m. Our data indicate that a simple sound propagation model is sufficient since the sound level is more affected by the nearby environment than the large scale forest structure. Also, the large scale forestry structure is bound to change with time and the error bars of measurements on total sound level are about 1 dBA, which is larger than any fine tuning with a more sophisticated model. More care should be taken to model the reflections from walls and other obstacles close to the microphones.The distribution of the spectral noise level around the turbine farm suggests that the noise originates from individual wind turbines closest to the measurement location rather than from the wind turbine farm as a whole. The spectra show narrow band spectral line features which do not contribute significantly to the total noise at this level. The narrow band features are only detectable at very long integration time and at 1 Hz spectral resolution. The spectral features are typical to originate from mechanical noise.The spectral acquisition method described in this paper can be used as a field qualified system for sound measurements in forest areas. The high spectral resolution is a viable remote diagnostic method for mechanical faults in the turbine machinery. Future work will concentrate on these two areas. © 2013 Elsevier Ltd. Source


Grant
Agency: Cordis | Branch: H2020 | Program: IA | Phase: FoF-06-2014 | Award Amount: 8.05M | Year: 2015

In nearly every sector of industrial manufacturing polishing techniques are used. But often manual polishing is the only option because the tasks are too complex to be automated. Therefore in SYMPLEXITY Symbiotic Human-Robot Solutions for Complex Surface Finishing Operations will be developed. The main SYMPLEXITY Objectives are: SO 1 Accurate and cognitive industrial robot systems enabling safe human-robot collaboration for surface finishing operations SO 2 Easy to use interfaces for planning, control and re-planning of shared finishing tasks SO 3 Collaboration oriented process technology for abrasive finishing, laser and fluid jet polishing SO 4 Integrated and autonomous sensing system for objective identification of surface properties SO 5 Introduction of developed collaborative finishing solutions into manufacturing industry In SO5 the results of the first 4 objectives will be combined to 3 demonstrator human-robot collaboration cells, one for each of the investigated process technologies. The 3 demonstrator cells will be tested in operational environment at 3 end-users. SYMPLEXITY is the consistent continuation of 3 recent EU projects that achieved TRL 4-5: COMET Plug-and-produce COmponents and METhods for adaptive control of industrial robots SAPHARI Safe and Autonomous Physical Human-Aware Robot Interaction poliMATIC Polishing processes and tools development SYMPLEXITY will bring together the results and key partners of these 3 projects to achieve TRL7 and thereby support the European Industry to win the competition in the global market with higher quality, efficient manufacturing and economic production, based on human robot collaboration for polishing complex shaped metallic surfaces. Relevant branches are tool making, medical engineering, aeronautics and automotive industry. Case studies show, that for many applications todays >90% of manual work can be converted in 80 % of robotic work under human control and 20 % of manual work.


In Europe, there is a clear long-term objective to decarbonize the energy system, but it is very unclear how this will be achieved in the heating and cooling sector. As a result, there is currently a lot of uncertainty among policymakers and investors in the heating and cooling sector, primarily due to a lack of knowledge about the long-term changes that will occur in the coming decades. This HRE proposal will enable new policies as well as prepare the ground for new investments by creating more certainty in relation to the changes that are required. The work in this proposal will build on three previous HRE studies, all of which have been successfully completed on time and all of which have already influenced high-level policymakers at EU and national level in Europe. The work from these previous studies will be significantly improved in this project. The new knowledge in this project will: - Improve at least 15 new policies at local, national, or EU level, - Specify how up to 3,000,000 GWh/year of fossil fuels can be saved in Europe, and - Quantify how the 3 trillion of investment required to implement these savings will reduce the net cost of heating and cooling in Europe. Furthermore, one of the most significant improvements compared to previous studies is the dissemination and communication strategy that has been developed as part of this proposal. These activities represent the largest work package in this proposal, which is necessary to ensure that policymakers, investors, and researchers at local, national, and EU level are all aware of the new data, tools, methodologies, and results from this project. The dissemination activities are expected to directly build the skills and capacity of at least 350 people in specific target groups identified by the consortium, while the communication activities will inform at least 50,000 people about the project activities and results.

Discover hidden collaborations