http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Dynamic percolation grid Monte Carlo simulation
Altmann Nara,Halley Peter J.,Nicholson Timothy M. The Korean Society of Rheology 2007 Korea-Australia rheology journal Vol.19 No.1
A dynamic Monte Carlo percolation grid simulation is used to predict the cure behaviour of thermoset materials. Molecules are distributed in a fixed grid and a probability of reaction is assigned to each pair of neighbouring units considering both reaction rates and diffusion. The concentration and network characteristics are predicted throughout the whole curing process and compared to experimental data for an epoxy-amine matrix.
Extension of Group Interaction Modelling to predict chemorheology of curing thermosets
Altmann, Nara,Halley, Peter J.,Nicholson, Timothy M. The Korean Society of Rheology 2009 Korea-Australia rheology journal Vol.21 No.2
This paper describes an extension of viscoelastic Group Interaction Modelling (GIM) to predict the relaxation response of linear, branched and cross-linked structures. This model is incorporated into a Monte Carlo percolation grid simulation used to generate the topological structure during the isothermal cure of a gel, so enabling the chemorheological response to be predicted at any point during the cure. The model results are compared to experimental data for an epoxy-amine systems and good agreement is observed. The viscoelastic model predicts the same exponent power-law behaviour of the loss and storage moduli as a function of frequency and predicts the cross-over in the loss tangent at the percolation condition for gelation. The model also predicts the peak in the loss tangent which occurs when the glass transition temperature surpasses the isothermal cure temperature and the system vitrifies.
Cost model based service placement in federated hybrid clouds
Altmann, J.,Kashef, M.M. North-Holland 2014 Future generations computer systems Vol.41 No.-
As cloud federation allows companies in need of computational resources to use computational resources hosted by different cloud providers, it reduces the cost of IT infrastructure by lowering capital and operational expenses. This is the result of economies of scale and the possibility for organizations to purchase just as much computing and storage resources as needed whenever needed. However, a clear specification of cost savings requires a detailed specification of the costs incurred. Although there are some efforts to define cost models for clouds, the need for a comprehensive cost model, which covers all cost factors and types of clouds, is undeniable. In this paper, we cover this gap by suggesting a cost model for the most general form of a cloud, namely federated hybrid clouds. This type of cloud is composed of a private cloud and a number of interoperable public clouds. The proposed cost model is applied within a cost minimization algorithm for making service placement decisions in clouds. We demonstrate the workings of our cost model and service placement algorithm within a specific cloud scenario. Our results show that the service placement algorithm with the cost model minimizes the spending for computational services.
Axel Altmann 세종대학교 언어연구소 2023 Journal of Universal Language Vol.24 No.1
Correspondingly to overexposure to advertising and oversaturation of sales markets, companies are required to explore ways to protrude. One way to enhance and differentiate oneself from competitors is sound branding. Part of sound branding refers to the sound-symbolic perception of certain linguistical features. This article examines the relationship between obstruents and a perceived sound-symbolic harshness. Based on a study done by Pathak et al. (2020), three separate research had been conducted. Firstly, twenty-one hypothetical brand names (HBNs) containing voiced obstruents (/b/, /d/, /g/, /z/, and /v/) and twenty-one HBNs containing voiceless obstruents (/p/, /t/, /k/, /s/, and /f/) had been shown to native Korean speakers in English. A second group was shown the same brand names but transliterated. Lastly, the same HBN in English had been presented to a control group (n = 20) consisting of native English speakers. It was shown that sound symbolism is not culturally agnostic, although universal tendencies have been found and significant differences in perception had been proven.
Extension of Group Interaction Modelling to predict chemorheology of curing thermosets
Nara Altmann,Peter J Halley,Timothy M Nicholson 한국유변학회 2009 Korea-Australia rheology journal Vol.21 No.2
This paper describes an extension of viscoelastic Group Interaction Modelling (GIM) to predict the relaxation response of linear, branched and cross-linked structures. This model is incorporated into a Monte Carlo percolation grid simulation used to generate the topological structure during the isothermal cure of a gel, so enabling the chemorheological response to be predicted at any point during the cure. The model results are compared to experimental data for an epoxy-amine systems and good agreement is observed. The viscoelastic model predicts the same exponent power-law behaviour of the loss and storage moduli as a function of frequency and predicts the cross-over in the loss tangent at the percolation condition for gelation. The model also predicts the peak in the loss tangent which occurs when the glass transition temperature surpasses the isothermal cure temperature and the system vitrifies.
Creating standardized products for electronic markets
Breskovic, I.,Altmann, J.,Brandic, I. North-Holland ; Elsevier Science Ltd 2013 Future generation computer systems Vol.29 No.4
Cloud computing is supposed to offer resources (i.e., data, software, and hardware services) in a manner similar to traditional utilities such as water, electricity, gas, and telephony. However, the current Cloud market is fragmented and static, preventing the successful implementation of ubiquitous computing on demand. In order to address the issue of fragmentation, commodity Cloud marketplaces have been suggested. However, as those marketplaces still suffer from being static (i.e., not being capable to adapt to changing market conditions and to the dynamics of user requirements for services), they do not operate at the optimal point. In this paper, we address this issue by channeling demand and supply into a few standardized services that are automatically adapted to user requirements in regular time intervals. For this, we utilize clustering algorithms and monitor the requirements of users. In order to avoid any cost to the user through these adaptations, we automatically adapt service level specifications of users to newly defined standardized goods. Using a simulation framework, we evaluate our approach and show its benefits to end users.