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Faculty of Technical Sciences

Publications from Technical Sciences

Follow the latest publications from the Faculty of Technical Sciences. The overview shows the publications with the latest at the top.

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Ottosen, T. B., Ketzel, M., Skov, H., Hertel, O., Brandt, J. & Kakosimos, K. E. (2019). Micro-scale modelling of the urban wind speed for air pollution applications. Scientific Reports, 9(1), Article 14279. https://doi.org/10.1038/s41598-019-50033-2

Alinovi, M., Mucchetti, G., Andersen, U., Rovers, T. A. M., Mikkelsen, B., Wiking, L. & Corredig, M. (2019). Microstructure changes of processed cream cheeses observed using confocal Raman spectroscopy. Poster session presented at NIZO Dairy Conference, Papendal, Netherlands.

Nielsen, L. (2019). Microwave Photonic Oscillators Integrated on an Optical Chip. Århus Universitet.

Tran-Jørgensen, P. W. V. & Kulik, T. (2019). Migrating Overture to a different IDE. In C. Gamble & L. Diogo Couto (Eds.), Proceedings of the 17th Overture Workshop (pp. 32-47). Newcastle University.

Bayard Rasmussen, M., Thule, C., Macedo, H. D. & Larsen, P. G. (2019). Migrating the INTO-CPS Application to the Cloud. In C. Gamble & L. Diogo Couto (Eds.), Proceedings of the 17th Overture Workshop (pp. 47-62). Newcastle University.

Svenningsen, S. R., Levin, G. & Linnet Perner, M. (2019). Military land use and the impact on landscape: A study of land use history on Danish Defence sites. Land Use Policy, 84(May), 114-126. https://doi.org/10.1016/j.landusepol.2019.02.041

Olesen, J. E. & Schou, J. S. (2019). Miljøet på vej mod bedring - nu truer klimaet. Tidsskrift for landøkonomi, 205(Festskrift Det Kgl. Danske Landhusholdningsselskab ), 178-186.

Larsen, M. M. (2019). Miljøfarlige stoffer i biota og sediment. In J. W. Hansen & S. Høgslund (Eds.), Marine områder 2018: NOVANA (pp. 101-115). Århus Universitet. https://dce2.au.dk/pub/SR355.pdf

Alstrup, A. K. O., Dietz, R. & Sonne, C. (2019). Miljøfremmede stoffer truer tandhvalernes overlevelse. Habitat, 19, 40-49.

Olesen, J. E., (2019). Miljø- og klimaforbedringer ved omlægning til frugttræer, No. 2019-0029887, 2 p., Dec 19, 2019.

Andersen, M. S., Frohn, L. M. & Brandt, J., (2019). Miljøøkonomiske beregningspriser for emissioner 3.0, 22 p., Notat fra DCE - Nationalt Center for Miljø og Energi (2011-2019) http://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Notater_2019/Miljoeoekonomiske_beregningspriser_for_emissioner.pdf

Kongsted, A. G., Pedersen, B. F., Kristensen, I. S., Kristensen, T. & Eriksen, J., (2019). Miljøpåvirkning fra udendørs hold af grise - Del 1, No. 2019-0023177, 27 p., Dec 19, 2019.

Knudsen , MJ., Winterberg , B., Hansen , S., Jensen , AA., Damgaard , K., Therkildsen, O. R. & Elmeros, M. (2019). Miljøvurdering af bekendtgørelse om planlægning for og tilladelse til opstilling af vindmøller. https://prodstoragehoeringspo.blob.core.windows.net/a2a9f3d4-a383-47e7-aed2-92246920fa12/Milj%C3%B8rapport%20Bekendtg%C3%B8relse%20om%20planl%C3%A6gning%20for%20og%20tilladelse%20til%20opstilling%20af%20vindm%C3%B8ller.pdf

Hansen, S. F. (2019). Milk fat globule membrane isolation with higher quality and stability. Århus Universitet.

Lashkari, S., Johansen, M., Weisbjerg, M. R. & Jensen, S. K. (2019). Milk fatty acid profile of dairy cows is affected by forage species, parity and milking time. In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science (Vol. 25, pp. 215-215) https://www.wageningenacademic.com/doi/pdf/10.3920/978-90-8686-890-2

Sunds, A. V., Sundekilde, U. K., Nielsen, S. D.-H., Larsen, L. B. & Poulsen, N. A. (2019). Milk glycosidase activities and metabolite formation in relation to mastitis. Abstract from IDF Mastitis Conference 2019 , Copenhagen, Denmark.

Odorcic, M., Rasmussen, M. D., Paulrud, C. O. & Bruckmaier, R. M. (2019). Milking machine settings, teat condition and milking efficiency in dairy cows. Animal, 13(S1), 94-99. https://doi.org/10.1017/S1751731119000417

Billa, P.-A., Faulconnier, Y., Larsen, T., Leroux, C. & Pires, J. (2019). Milk metabolites as noninvasive indicators of nutritional status of mid-lactation Holstein and Montbéliarde cows. Journal of Dairy Science, 102(Suppl 1), 325-325. Article W20.

Rafiee Tari, N., Fan, M. Z. & Corredig, M. (2019). Milk protein composition and beta-casein in a dairy matrix affect in vivo and in vitro physiological responses. Poster session presented at Canadian Nutrition Society, 10th Annual Scientific meeting, Niagara Falls, Ontario, Canada.

Lærke, H. N., Ingerslev, A. K., Zhou, P., Nørgaard, J. V. & Jensen, S. K. (2019). Milk protein - more than just amino acids? A study on growth and growth biomarkers in piglets. In M. L. Chizzotti (Ed.), Energy and protein metabolism and nutrition (pp. 369-372). Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-891-9

Spasaro, M. & Zito, D. (2019). Millimeter-Wave Integrated Silicon Devices: Active versus Passive — The Eternal Struggle Between Good and Evil : (Invited Paper). In 2019 42nd International Semiconductor Conference, CAS 2019 - Proceedings (pp. 11-20). Article 8923669 IEEE. https://doi.org/10.1109/SMICND.2019.8923669

Juul, L., Kongsted, A. G. & Kaae, A. (2019). Mindre protein i økologisk so-foder er godt for klimaet og miljøet - er det også godt for soen? Økologisk Landbrug, (640), 20. https://nyheder.okologi.dk/mark-og-stald/mindre-protein-i-okologisk-so-foder-er-godt-for-klimaet-og-miljoet-er-det-ogsa-godt-for-soen

Sørensen, K. U., Shiguetomi-Medina, J. M. & Poulsen, H. D. (2019). Mineralisation of tubular bones is affected differently by low phosphorus supply in growing-finishing pigs. Journal of the Science of Food and Agriculture, 99(7), 3628-3634. https://doi.org/10.1002/jsfa.9583

Mosbech, A., Boertmann, D. M., Aastrup, P., Kyhn, L. A., Gustavson, K. & Nymand, J., (2019). Mineral Resources Strategy – environmental contribution: Scientific recommendations from DCE and GINR, 75 p.

Zhao, X., Lucani Rötter, D. E., Shen, X. & Wang, H. (2019). Minimizing Bandwidth Use in IoT Storage with Random Device Failures. In European Wireless 2019 Conference, EW 2019 (pp. 72-76). VDE Verlag GmbH. https://ieeexplore.ieee.org/document/8835942

Gautam, C., Tiwari, A. & Iosifidis, A. (2019). Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. In S. Sundaram (Ed.), Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018 (pp. 389-396). Article 8628692 IEEE. https://doi.org/10.1109/SSCI.2018.8628692

Trnka, M., Feng, S., Semenov, M. A., Olesen, J. E., Kersebaum, K. C., Rötter, R. P., Semerádová, D., Klem, K., Huang, W., Ruiz-Ramos, M., Hlavinka, P., Meitner, J., Balek, J., Havlík, P. & Büntgen, U. (2019). Mitigation efforts will not fully alleviate the increase in water scarcity occurrence probability in wheat-producing areas. Science Advances, 5(9), Article eaau2406. https://doi.org/10.1126/sciadv.aau2406

Cao, Y., Wang, X., Bai, Z., Chadwick, D., Misselbrook, T., G. Sommer, S., Qin, W. & Ma, L. (2019). Mitigation of ammonia, nitrous oxide and methane emissions during solid waste composting with different additives: A meta-analysis. Journal of Cleaner Production, 235, 626-635. https://doi.org/10.1016/j.jclepro.2019.06.288

Andersen, L. V., T. Peplow, A. & Persson, P. (2019). Mitigation of ground vibrations by circular arrays of rigid blocks. In M. Papadrakakis & M. Fragiadakis (Eds.), COMPDYN 2019 - 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Proceedings (Vol. 2, pp. 3422-3447). National Technical University of Athens. https://2019.compdyn.org/proceedings/pdf/18943.pdf

Caterino, N., Georgakis, C. T., Spizzuoco, M. & Chen, J. (2019). Mitigation of Structural Demand to Wind Turbines: Experimental Investigation of Three Control Strategies. In F. Ricciardelli & A. M. Avossa (Eds.), Proceedings of the XV Conference of the Italian Association for Wind Engineering (pp. 165-178). Springer. https://doi.org/10.1007/978-3-030-12815-9_14

Zhang, M., Zheng, T., Sheng, B., Wu, F., Zhang, Q., Wang, W., Shen, J., Zhou, N. & Sun, Y. (2019). Mn ²⁺ complex-modified polydopamine- and dual emissive carbon dots based nanoparticles for in vitro and in vivo trimodality fluorescent, photothermal, and magnetic resonance imaging. Chemical Engineering Journal, 373, 1054-1063. https://doi.org/10.1016/j.cej.2019.05.107

Wang, H., Gao, G., Xia, Q. & Zhang, X. (2019). Modal Dynamics and Analysis of a Vertical Stretch-Retractable Continuum Manipulator with Large Deflection. In 2019 International Conference on Robotics and Automation, ICRA 2019 (pp. 6258-6264). Article 8794172 IEEE. https://doi.org/10.1109/ICRA.2019.8794172

Filsoof, O. T., Hansen, M. H., Yde, A., Bøttcher, P. & Zhang, X. (2019). Modal Dynamics of a Three-Bladed Tri-Rotor Wind Turbine. In A. Zingoni (Ed.), Advances in Engineering Materials, Structures and Systems: Innovations, Mechanics and Applications - Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation, 2019 (pp. 681-686). CRC Press. https://doi.org/10.1201/9780429426506

Brincker, R., Olsen, P., Amador, S., Juul, M. Ø. Ø., Malekjafarian, A. & Ashory, M. (2019). Modal participation in multiple input Ibrahim time domain identification. Mathematics and Mechanics of Solids, 24(1), 168-180. https://doi.org/10.1177/1081286517733034

Tarpø, M. G., Vigsø, M. & Brincker, R. (2019). Modal Truncation in Experimental Modal Analysis. In M. Mains & B. J. Dilworth (Eds.), Topics in Modal Analysis and Testing, Volume 9 - Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018 (Vol. 9, pp. 143-152). Springer. https://doi.org/10.1007/978-3-319-74700-2_15

Erichsen, A. C., Closter, R. M., Hansen, J. W., Carstensen, J., Timmermann, K., Christensen, J. H. & Tornbjerg, H. (2019). Modelanalyser og hydrografisk rapportering. Afsluttende rapport. DHI. http://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Oevrige_udgivelser/Modeller_i_overvaagningen_2018.pdf

Madsen, E., Skov Rosenlund, O., Brandt, D. & Zhang, X. (2019). Model-Based On-line Estimation of Time-Varying Nonlinear Joint Stiffness on an e-Series Universal Robots Manipulator. In 2019 International Conference on Robotics and Automation (ICRA) (pp. 8408-8414). Article 8793935 IEEE. https://doi.org/10.1109/ICRA.2019.8793935

Olesen, J. E. & Pullens, J. W. M., (2019). Modelbaseret prognose for høstdato i korn for 2019, No. 2019-760-001085, 7 p., Jul 15, 2019.

Zhang, W., Jansson, P. E., Sigsgaard, C., McConnell, A., Jammet, M. M., Westergaard-Nielsen, A., Lund, M., Friborg, T., Michelsen, A. & Elberling, B. (2019). Model-data fusion to assess year-round CO ₂ fluxes for an arctic heath ecosystem in West Greenland (69°N). Agricultural and Forest Meteorology, 272-273(July), 176-186. https://doi.org/10.1016/j.agrformet.2019.02.021

Tieppo, R. C., Romanelli, T. L., Milan, M., Sørensen, C. A. G. & Bochtis, D. (2019). Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system. Computers and Electronics in Agriculture, 156, 282-292. https://doi.org/10.1016/j.compag.2018.11.032

Iglesias, R. S., Romio, C., Melo, C. L., Musse, A. P. S., do Rosário, F. & Oldenburg, C. M. (2019). Modeling CO₂ flow in support of a shallow subsurface controlled leakage field test. Greenhouse Gases: Science and Technology, 9(5), 1027-1042. https://doi.org/10.1002/ghg.1917

Darko, D., Trolle, D., Asmah, R., Bolding, K., Adjei, K. A. & Odai, S. N. (2019). Modeling the impacts of climate change on the thermal and oxygen dynamics of Lake Volta. Journal of Great Lakes Research, 45(1), 73-86. https://doi.org/10.1016/j.jglr.2018.11.010

Maar, M., Larsen, J., Dahl, K. & Riemann, B. (2019). Modellering af miljøeffekter fra havbrug og mulig næringsstofkompensation ved hjælp af miljømuslinger. Abstract from 20. Danske Havforskermøde, Odense, Denmark. https://www.dhm2019.dk/

Engesgaard, P., Petersen, R. J., Karlsson, I. B., Christiansen, I. M. V., Kjaergaard, C. & Højbjerg, A. L. (2019). Modellering af vandstrømning i lavbundsområder. Vand & Jord, 26(1), 37-39.

Stutz, H. H., Fu, S. & Yang, Z. (2019). Modellierung von großen Deformationen des Boden-Bauwerk-Kontakts in expliziten numerischen Simulationen. In Numerik in der Geotechnik (pp. 43-48). Bundesanstalt für Wasserbau. https://henry.baw.de/handle/20.500.11970/106582

Gerwig, H., Hellebrandt, P., Jakobs, H., Janicke, U., Ketzel, M., Schmidt, W., Wirtz, K. & Lorentz, H. (2019). Modellierung von Ultrafeinpartikeln am und um den Flughafen Frankfurt/Main. Poster session presented at 3. Symposium "Ultrafeine Partikel in der Außenluft und in Innenräumen", Berlin, Germany.

Manevski, K., Børgesen, C. D., Li, X., Andersen, M. N., Zhang, X., Shen, Y. & Hu, C. (2019). Modelling agro-environmental variables under data availability limitations and scenario managements in an alluvial region of the North China Plain. Environmental Modelling & Software, 111(January), 94-107. https://doi.org/10.1016/j.envsoft.2018.10.001

Kullolli, B., Cuéllar, P., Baessler, M. & Stutz, H. H. (2019). Modelling and calibration for cyclic soil-structure interface behaviour. In E. Ibraim & A. Tarantino (Eds.), 7th International Symposium on Deformation Characteristics of Geomaterials, IS-Glasgow 2019 Article 13007 EDP Sciences. https://doi.org/10.1051/e3sconf/20199213007

Somerville, G. J., Melander, B., Kudsk, P. & Mathiassen, S. K. (2019). Modelling annual grass weed seed dispersal in winter wheat, when influenced by hedges and directional wind. Ecological Modelling, 410, Article 108729. https://doi.org/10.1016/j.ecolmodel.2019.108729

Curci, G., Alyuz, U., Barò, R., Bianconi, R., Bieser, J., H. Christensen, J., Colette, A., Farrow, A., Francis, X., Jiménez-Guerrero, P., Im, U., Liu, P., Manders, A., Palacios-Peña, L., Prank, M., Pozzoli, L., Sokhi, R., Solazzo, E., Tuccella, P. ... Galmarini, S. (2019). Modelling black carbon absorption of solar radiation: Combining external and internal mixing assumptions. Atmospheric Chemistry and Physics, 19(1), 181-204. https://doi.org/10.5194/acp-19-181-2019

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