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In this study a modular control approach is used to provide target following ability for a patient eye suffering from downbeat nystagmus. To perform the task successfully, it is proposed to exploit the benefits of modular strategies. Therefore, vertical eye movements are decomposed to two distinct upward and downward motions, and the controller tries to dedicate each of them to one distinct module...
Long-term prediction of mean arterial blood pressure (MAP) time series can help clinicians to select a proper treatment based on their diagnosis. In this way, this paper firstly introduces a new prediction method for time series prediction based on fuzzy functions (FF) in multi-model mode and applies it for forecasting MAP time series as a new application. The proposed model consists of three steps...
A couple of multiscale spatiotemporal simulation models of glioblastoma multiforme (GBM) growth and invasion into the surrounding normal brain tissue is presented. Both models are based on a continuous and subsequently finite mathematical approach centered around the non-linear partial differential equation of diffusion-reaction referring to glioma tumour cells. A novel explicit, strict and thorough...
This paper presents a new approach to user identity currently being explored within the SuperIdentity project and outlines the specific role that biometric measurements can contribute towards a modelling process. The SuperIdentity project aims to define a novel holistic model wherein the proven strengths of relationships between facets of identity are mapped. These facets are drawn from both real...
In a field test at Saarland University, a decision tool named OWLracle has been developed. It supports university managers in comparing benefit and costs of different methods of energy saving. They include building automation as well as economic and psychological incentives. In order to guarantee transferability to other university properties, appropriate typicals are required. To this end, the paper...
Gliderpalooza represented a grass-roots coordinated field demonstration of ocean observing technologies spanning the eastern seaboard of North America. The overarching goal was to coordinate disparate ocean research efforts, funded by disparate programs from a variety of agencies to demonstrate continental scale coordination of various ocean observing technologies to sample ecologically relevant scales...
As the core of the supply chain management, the inventory management deserves more of our attention, and in the complicated supply chain, especially under the circumstance of spending a long cycle, the inventory management becomes very difficult, which we need to balance the amount of circulating funds used by overmuch inventory and the loss of stock-out. The demand of marketing is viewed as the foundation...
Modeling the emotional content of music is of great importance, since it is believed that music is capable of inducing different emotions. In this study we present an Autoregressive with Exogenous Input (ARX) model based on system identification theory for modeling the emotional content of music in a two dimensional emotion space and also a nonlinear Autoregressive with Exogenous Input (NARX) model...
Ecological niche modeling (ENM) coupled with 3S has become increasingly important for environment monitoring. Chamaecyparis formosensis (Taiwan red cypress, TRC) only grows in Huisun's Shou-Cheng Mountain. We used GIS to overlay physiographic variables and vegetation index with TRC samples. We developed ENMs by using generalized linear model (GLM), maximum likelihood (ML), maximum entropy (MAXENT)...
This paper presents the use of logistic and ordinal regressions for predicting the classification of patients into the Phadiatop test groups. Our data come from patients who underwent Phadiatop test examinations in the University Hospital of Ostrava, the Clinic of Occupation and Preventive Medicine. Two databases were available for the research giving the records about family and personal anamnesis...
The study suggests an algorithm, which forecasts cash flow in a planning stage to manage a liquidity crisis effectively. The algorithm involves calculation of optimal cash level considering time lag, item costs, and weight of items for construction projects. It also suggests a forecast of cash flow after a comparison of cash-in and cash-out with the simulation of billing time lag according to the...
This paper introduces a discrete conditional survival model (DC-S) with a classification component for predicting patient outcome and survival component for predicting length of stay in hospital. The DC-S model consists of two components; the conditional component which utilises a classification tree and the survival component which models the survival distribution. The survival component of the model...
A method integrates case-based reasoning (CBR) with rule-based reasoning (RBR) is developed in this paper. Based on these two artificial intelligence techniques, it is used in the design of maintenance decision system. According to the characteristics and requirements of equipments' health condition, the structure and workflow of health condition-based maintenance decision intelligent reasoning method...
The relationship between a person¡¦s personality and performance has long been studied by psychologists. Research suggests that a person¡¦s performance and behavior are related to personality characteristics and background data to a certain degree. In this paper, the Big Five personality model is adopted for measuring profiles of students, whose undergraduate performance and behavior are then analyzed...
Empirical results in business research derived from multiple linear regression models are often susceptible to issues of dimensionality and multicollinearity. We extend the current research practices for addressing multicollinearity by introducing an original method, Bayesian Dominance Hierarchy (BDH) to determine the relative importance of predictors in a multiple regression context.
In order to find out the quantitative relationship between the change of land use and ecosystem service in the future, an Ecosystem Service Value-Markov model (ESV-Markov model) is developed and evaluated. Based on the model, the values of ecosystem services of the land use in Wuhan from 2009 to 2019 are predicted. In summary, the model can finely reflect the change of quantitative relationship between...
The article deals with the gravitation problem, which is widely used for solving different practical problems. First of all it is used to forecast the future traffic of a territory (Origin/destination problem). It is also used in the economy for forecasting the Leontief Input/Output table. It will be shown if the I-divergence is used for the sample O/D matrix and the future traffic matrix the cost...
This study aimed to investigate the impact of teachers' teaching quality to students' academic performance using teaching information. As students' data nested in teachers' data and it had the structure with two layers of data, this paper would use Hierarchical Linear Models. The results showed that : the effects of the four dimensions of teaching quality on academic performance and learning motivation...
Based on the reality of government administrative expenses, the article designed the theoretical models of government administrative expenses to predict the future cost of government--the basic criteria for administrative expenses, and came up with the corresponding proposes according to the basic analysis of Chinese government's expenses. The basic idea is based on the actual expenditure of the Chinese...
Ecological footprint analysis is an important method in solving the measurement problems of sustainable development. In this paper, based on the method of Guangxi in the years of ecological environment were analyzed. Using time series model and made future years of ecological footprint in total forecasts. By using grey prediction model predicted population growth, various types of land supply and...
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