The aggregated citation relations among journals included in the Science Citation Index provide us with a huge matrix which can be analyzed in various ways. Using principal component analysis or factor analysis, the factor scores can be used as indicators of the position of the cited journals in the citing dimensions of the database. Unrotated factor scores are exact, and the extraction of prin...

The retrieval of impervious surface information is a hot topic in remote sensing. However, researches on impervious surface retrieval from hyperspectral remote sensing imagery are rare. This paper illustrates a case study of information extraction from urban impervious surfaces based on hyperspectral remote sensing imagery that is intended to improve the image spectral resolution of impermeable...

This research maps out the value network of collaboration enabling automated access to egovernment services, motivated by the dissemination efforts of the EU-funded Access-eGov project. The main contribution of this article is the stepwise development of a value map which highlights the exchange of tangible and intangible deliverables and an initial value network analysis based on two different...

Using a stepwise discriminant analysis, we demonstrate that the amplitude of P300 is a graded function of the complexity of information processing required of a S following a stimulus. This relationship between cognitive complexity and P300 is apparent only when the S is not pressed to generate fast and accurate discriminant responses to the stimuli. Under a reaction-time regime, a large P300 i...

The objective of this study was to compare the use of hyperspectral narrowbands, hyperspectral narrowband indices and pigment measurements collected from switchgrass leaf as potential tools for discriminating among twelve switchgrass cultivars and five N treatments in one cultivar (Alamo). Hyperspectral reflectance, UV-B absorbing compounds, photosynthetic pigments (chlorophyll a, chlorophyll b...

Abandoned agricultural fields have recently become more abundant in the U.S. and remain susceptible to species invasions after cultivation disturbance. As invasive species become more widespread with increases in anthropogenic activities, we need more effective ways to use limited resources for conservation of native ecosystems. Remote sensing can help us monitor the spread and effects of invas...

The main focus of research in machine learning and statistics is on building more advanced and complex models. However, in practice it is often much more important to use the right variables. One may hope that recent popularity of open data would allow researchers to easily find relevant variables. However current linked data methodology is not suitable for this purpose since the number of matc...

A procedure, called α-procedure, for the efficient automatic classification of multivariate data is described. It is based on a geometric representation of two learning classes in a proper multi-dimensional rectifying feature space and the stepwise construction of a separating hyperplane in that space. The dimension of the space, i.e. the number of features that is necessary for a successful cl...

In two perception experiments on read German, we investigate how far different accent positions and accent types are related to degrees of perceived givenness both in sentences in isolation and in context. Results reveal a stepwise decrease in the degree of perceived givenness from deaccentuation and prenuclear accents through low and early peak nuclear accents to high and rising nuclear accent...

A method for the production of clean hydrogen is demonstrated. The process consists of two steps involving the decomposition of methane to CO-free hydrogen and surface carbon in the first step followed by steam gasification of this surface carbon in the second step. This process can be operated in cycles and could be an excellent hydrogen source for fuel cells and other devices or processes req...