Aalto University

About: Aalto University is a education organization based out in Espoo, Finland. It is known for research contribution in the topics: Computer science & Context (language use). The organization has 9969 authors who have published 32648 publications receiving 829626 citations. The organization is also known as: TKK & Aalto-korkeakoulu.

Enterprise size matters: objectives and constraints of ERP adoption

Abstract: Purpose – The purpose of this paper is to contribute to the discussion on enterprise resource planning (ERP) system adoption by investigating the relationship of enterprise size to the objectives and constraints of ERP adoption.Design/methodology/approach – In the paper, survey data, based on the responses of 44 companies, are analyzed, by dividing the companies into small, medium‐sized, and large enterprises; and comparing these groups, using statistical methods.Findings – The paper finds significant differences exist between small, medium‐sized and large enterprises regarding the objectives and constraints of ERP system adoption. While small enterprises experience more knowledge constraints, large enterprises are challenged by the changes imposed by ERP adoption. Further, large and medium‐sized enterprises are more outward‐oriented in ERP adoption than small enterprises. Business development, as opposed to mere efficiency improvement, while being the most prevalent objective for ERP adoption in all the ...

An Interactive Evolutionary Multiobjective Optimization Method Based on Progressively Approximated Value Functions

Abstract: This paper suggests a preference-based methodology, which is embedded in an evolutionary multiobjective optimization algorithm to lead a decision maker (DM) to the most preferred solution of her or his choice. The progress toward the most preferred solution is made by accepting preference based information progressively from the DM after every few generations of an evolutionary multiobjective optimization algorithm. This preference information is used to model a strictly monotone value function, which is used for the subsequent iterations of the evolutionary multiobjective optimization (EMO) algorithm. In addition to the development of the value function which satisfies DM's preference information, the proposed progressively interactive EMO-approach utilizes the constructed value function in directing EMO algorithm's search to more preferred solutions. This is accomplished using a preference-based domination principle and utilizing a preference-based termination criterion. Results on two- to five-objective optimization problems using the progressively interactive NSGA-II approach show the simplicity of the proposed approach and its future promise. A parametric study involving the algorithm's parameters reveals interesting insights of parameter interactions and indicates useful parameter values. A number of extensions to this paper are also suggested.

Planck early results. XX. New light on anomalous microwave emission from spinning dust grains

Abstract: Anomalous microwave emission (AME) has been observed by numerous experiments in the frequency range ~10–60 GHz. Using Planck maps and multi-frequency ancillary data, we have constructed spectra for two known AME regions: the Perseus and ρ Ophiuchi molecular clouds. The spectra are well fitted by a combination of free-free radiation, cosmic microwave background, thermal dust, and electric dipole radiation from small spinning dust grains. The spinning dust spectra are the most precisely measured to date, and show the high frequency side clearly for the first time. The spectra have a peak in the range 20–40 GHz and are detected at high significances of 17.1σ for Perseus and 8.4σ for ρ Ophiuchi. In Perseus, spinning dust in the dense molecular gas can account for most of the AME; the low density atomic gas appears to play a minor role. In ρ Ophiuchi, the ~30 GHz peak is dominated by dense molecular gas, but there is an indication of an extended tail at frequencies 50–100 GHz, which can be accounted for by irradiated low density atomic gas. The dust parameters are consistent with those derived from other measurements. We have also searched the Planck map at 28.5 GHz for candidate AME regions, by subtracting a simple model of the synchrotron, free-free, and thermal dust. We present spectra for two of the candidates; S140 and S235 are bright Hii regions that show evidence for AME, and are well fitted by spinning dust models.