Author
Roger Feldhoff
Bio: Roger Feldhoff is an academic researcher. The author has contributed to research in topics: Absorption (electromagnetic radiation) & Adaptive resonance theory. The author has an hindex of 9, co-authored 15 publications receiving 254 citations.
Papers
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TL;DR: An imaging spectrometer with a 256 element InGaAs diode array was combined with a high throughput optical arrangement for recording high quality NIR spectra (824 nm to 1700 nm) of plastics from a distance of 25 cm within 6.3 milliseconds as mentioned in this paper.
67 citations
TL;DR: An optical setup consisting of a high-throughput near-IR spectrograph with an InGaAs-array detector and specially designed collection optics is used to record spectra from post consumer packages located on an industrial conveyor belt.
Abstract: An optical setup consisting of a high-throughput near-IR (NIR) spectrograph with an InGaAs-array detector and specially designed collection optics is used to record spectra from post consumer packages located on an industrial conveyor belt. NIR spectra of packages of different polymers (PE, PET, PP, PS, and PVC) and of a card- board/plastic compound are recorded between 900 and 1700 nm with 6.3-ms integration time. The visual distinction between the spectra is demonstrated by aid of principal component analysis (PCA) plots. The spectra are further classified by a FuzzyARTMAP neural network. The method is assessed to be suitable for on-line identification under industrial conditions.
43 citations
TL;DR: A spectroscopic near-infrared imaging system, using a focal plane array (FPA) detector, is presented for remote and on-line measurements on a macroscopic scale and a procedure is presented to facilitate this task and to provide more insight into and control over the composition of the datasets.
Abstract: A spectroscopic near-infrared imaging system, using a focal plane array (FPA) detector, is presented for remote and on-line measurements on a macroscopic scale. On-line spectroscopic imaging requires high-speed sensors and short image processing steps. Therefore, the use of a focal plane array detector in combination with fast chemometric software is investigated. As these new spectroscopic imaging systems generate so much data, multivariate statistical techniques are needed to extract the important information from the multidimensional spectroscopic images. These techniques include principal component analysis (PCA) and linear discriminant analysis (LDA) for supervised classification of spectroscopic image data. Supervised classification is a tedious task in spectroscopic imaging, but a procedure is presented to facilitate this task and to provide more insight into and control over the composition of the datasets. The identification system is constructed, implemented, and tested for a real-world application of plastic identification in municipal solid waste.
33 citations
TL;DR: It has been found by a cross validation scheme that MLF-BP networks show a slightly better discrimination power than ART-2a networks and both types of artificial neural networks perform significantly better than the SIMCA method.
31 citations
TL;DR: The supervised working FuzzyARTMAP pattern recognition algorithm has been applied to automated identification of post-consumer plastics by near-infrared spectroscopy (NIRS) and results obtained were better than an optimized multilayer feedforward backpropagation artificial neural network and significantly better than those provided by the partial least squares method (PLSZ).
25 citations
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Patent•
23 Nov 2006
TL;DR: In this paper, a system mounted on a vehicle for detecting an obstruction on a surface of a window of the vehicle, a primary camera is mounted inside the vehicle behind the window and a secondary camera is focused on an external surface of the window, and operates to image the obstruction.
Abstract: A system mounted on a vehicle for detecting an obstruction on a surface of a window of the vehicle, a primary camera is mounted inside the vehicle behind the window. The primary camera is configured to acquire images of the environment through the window. A secondary camera is focused on an external surface of the window, and operates to image the obstruction. A portion of the window, i.e. window region is subtended respectively by the field of view of the primary camera and the field of view of the secondary camera. A processor processes respective sequences of image data from both the primary camera and the secondary camera.
224 citations
TL;DR: This review is a look at the big picture of NIR spectroscopy from the beginning to present day, in six sections: Introduction, Reviews, Books, Instrumentation, Applications and Conclusions: Past, Present and Future.
Abstract: Near infrared spectroscopy has come of age. Today, it takes its place along side other major analytical technologies. Though it has inherent problems, its advantages make it an appealing tool for s...
201 citations
TL;DR: It can be concluded that the triboelectrostatic separation of plastic waste is a promising technology, however, more research is required before it can be widely applied in industry.
174 citations
TL;DR: In this article, the applicational aspects of SVMs are analyzed with the step-by-step construction of a classifier for polymers by means of their mid-infrared spectra.
Abstract: The special emphasis of support vector machines (SVMs) on generalization ability makes this approach particularly interesting for real-world applications with limited amounts of training data. In this paper we analyse the applicational aspects of SVMs, illustrating them with the step-by-step construction of a classifier for polymers by means of their mid-infrared spectra. With this example we show how the main difficulties of a typical industrial classification task can be addressed using SVMs.
165 citations
TL;DR: This study presents a critical review of the existing ICTs and their usage in SWM systems to unfold the issues and challenges towards using integrated technologies based system.
164 citations