Sun-induced chlorophyll fluorescence (F) is a novel remote sensing parameter providing an estimate of actual photosynthetic rates. A combination of this new observable and Monteith’s light use efficiency (LUE) concept was suggested for an advanced modeling of gross primary productivity (GPP). In this demonstration study, we evaluate the potential of both F and the more commonly used photochemic...

We present a conceptual framework for modeling optical networks and the solutions to its associated problems. The framework is targeted towards a large-scale initiative by us for developing a modeling language that can help with conceptual modeling of typical optical network design problems. While there are pieces of literature available that describe modeling languages for other application ar...

In this paper, empirical modeling of surface roughness in CO2 laser cutting of stainless steel using was presented. Mathematical modeling was based on using feed forward neural network by exploiting experimental measurements obtained from the Taguchi’s L27 experimental design. The mathematical models of surface roughness was expressed as explicit nonlinear functions of the selected input parame...

This paper describes our solution for the video recognition task of the Google Cloud & YouTube-8M Video Understanding Challenge that ranked the 3rd place. Because the challenge provides pre-extracted visual and audio features instead of the raw videos, we mainly investigate various temporal modeling approaches to aggregate the frame-level features for multi-label video recognition. Our system c...

The Nancy Grace Roman Space Telescope (Roman) is an observatory for both wide-field observations and coronagraphy that scheduled launch in the mid 2020's. Part of planned survey a deep, cadenced field or fields enable cosmological measurements with type Ia supernovae (SNe Ia). With pixel scale 0".11, Wide Field Instrument will be undersampled, presenting difficulty precisely subtracting galaxy ...

 Commodity markets: overview, description and structure  Commodity spot price models, their performance and calibration  Forward curve modeling for commodities  Modeling commodity price volatility  Correlations/dependencies in commodity portfolios  Modeling risk of a commodity portfolio  Typical commodity derivatives (quanto, Asian, spread and basket options, volumetric and swing options...

This paper introduces an object-oriented approach to the integrated modeling of Organizations, and their Information Systems in a Distributed context. The approach is based on the OOram role modeling methodology concepts and tool. In the proposed approach organization modeling is done at the enterprise level of abstraction and both reverse and forward engineering are consistently supported. Dis...