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Maastricht, Netherlands

The Otto Group of companies, with headquarters in Charlotte, North Carolina, is a developer, manufacturer and supplier of waste-handling equipment with subsidiaries in more than 40 countries and factories on all continents. Founded in 1934, the group sprung from industrial origins. Its businesses interests in the environmental sector include waste handling equipment, environmental engineering, recycling, consulting services, and hauling. The Group also assumed a leadership position in the Germany's DSD program run by Der Grüne Punkt, and in plastics transformation. The group’s financial arm has been investing in private equity, venture capital, and real estate around the world for more than two decades. This activity includes an M&A and asset management division. Wikipedia.


The remote sensing analysis of planetary surfaces is a field in which photopolarimetric techniques allow the estimation of the average small-scale 3D properties of the examined surfaces (i. e. on millimeter or sub-millimeter scales) from large distances. This work provides an overview of image-based photometric and polarimetric methods for the remote determination of small-scale 3D properties of planetary regolith surfaces. Specifically, the surface porosity governs the phase angle dependence of the reflectance function of the surface material for near-zero phase angles, while the reflectance behavior at large phase angles between around 90° and 180° allows to estimate the surface roughness on sub-millimeter and millimeter scales. For the lunar regolith, a calibration of the phase angle dependence of the polarization behavior of the light reflected from the surface based on returned lunar sample material provides a framework to determine the median regolith grain size based on measurements of the polarization degree. In this work, the corresponding methodologies as well as their application to specific planetary bodies are discussed. Where deemed favorable, new photometric and polarimetric measurements of prototypical areas of the lunar surface are provided to exemplify the described approaches in an illustrative manner. © 2010 3D Display Research Center and Springer-Verlag Berlin Heidelberg. Source


Hasel M.,Otto Group
Communications of the ACM | Year: 2011

SOCIAL NETWORKING AND interfaces can be seen as representative of two characteristic trends to have emerged in the Web 2.0 era, both of which have evolved in recent years largely independently of each other. A significant portion of our social interaction now takes place on social networks, and URL addressable APIs have become an integral part of the Web.14 The arrival of OpenSocial7,8,13 now heralds a new standard uniting these two trends by defining a set of programming interfaces for developing social applications that are interoperable on different social network sites. Social network sites such as MySpace, Facebook, or XING are all examples of online communities that are technically accommodated through networking software that maps a social graph.1 This enables individual members to create and maintain personal profiles and to manage their connections to other members within a network community (for example, to friends, colleagues, or business contacts). The networking software often permits the sending and receiving of messages via the respective site as well as supporting socalled update feeds that let users know about their contacts' activity within a given network. In the context of social applications, networking sites are referred to as containers. By means of the OpenSocial API, the container grants its applications access to its social graph (such as profile and contact data), as well as to any messaging systems or update feeds. Used by collaborating people, these applications then create a far richer user experience than software that exists outside a social graph context. © 2011 ACM. Source


Whler C.,Geologic Lunar Research GLR Group | Whler C.,Otto Group | Berezhnoy A.,Moscow State University | Evans R.,Geologic Lunar Research GLR Group
Planetary and Space Science | Year: 2011

In this study we propose a regression model for the estimation of lunar elemental abundances from spectral features extracted from Clementine multispectral imagery in the visible and near-infrared domain. We extract a set of spectral features, including the continuum slope, the FWHM of the ferrous absorption trough near 1000 nm, and the wavelengths and relative depths of the absorption minima and inflection points present in the trough. As a "ground truth" for the elemental abundances we rely on the Lunar Prospector gamma ray spectrometer (LP GRS) data. With respect to the elemental abundances of the Apollo and Luna landing sites independently derived from returned samples, the best examined regression model is a second-order polynomial. The proposed regression-based approach allows an estimation of the elemental abundances of Ca, Al, Fe, Mg, and O at an accuracy of about 1 wt% and some tenths of a weight percent for Ti. We examine the influence of calibration of the Clementine UVVISNIR data and find that its effect on the results obtained with the regression approach is minor. Furthermore, we define a three-endmember model which allows the petrographic mapping of the lunar surface materials in terms of their Fe, Mg, and Al abundances. We examine the global distribution of Mg-rich rocks, the distribution of cryptomaria, and the occurrence of aluminous mare basalts in the Frigoris region. A possible regional compositional anomaly in northwestern Oceanus Procellarum is found, which corresponds to an extended area displaying spectral characteristics consistent with mare basalt containing significant amounts of olivine. On local scales, we examine in terms of our regression model the highland craters Proclus and Tycho, the compositionally anomalous central peaks of the craters Copernicus and Bullialdus, and the pyroclastic deposits on the floor of Alphonsus and on the northern rim of Petavius. As a general result, we show that the regression-based approach allows the detection of the main lunar terrain classes and rock types based on multispectral imagery in the visible and near-infrared domain. © 2010 Elsevier Ltd. All rights reserved. Source


Nageldinger G.,Otto Group
PeerJ | Year: 2015

The purpose of this paper is to provide a governance structure for IT-related projects in order to assure a safeguarded and timely transition to a productive environment. This transitioning, which rarely exceeds a weekend, is colloquially called 'cut-over', 'rollout' or 'deployment'. The governance structure is defined in accordance with a set of project-specific deliverables for a cascade-type procedural project-management model, which is integrated within an Information Technology Infrastructure Library (ITIL)-orientated service organization. This integration is illustrated by the use of a semi-agile release model. Due to the release model selected, which is particularly characterized by its bundling of projects for a release-specific rollout (as it is referred to in the project documentation), a new definition and interpretation of deployment from a generic ITIL perspective is required. The facilitated release model requires a distinction between a project-specific cut-over and a release-specific rollout. This separation gives rise to two types of go-live scenarios: one for each participating project and one for each release. Additionally, an interplay between cut-over planning for a project and rollout planning for a release becomes apparent. Projects should already incorporate cut-over related deliverables in the initial planning phase. Even though consulting methodologies such as ASAP (Accelerated SAP), recommend scattered, project-specific deliverables useful for cut-over planning, this publication offers an integrated approach on how to prepare systematically for a project-specific cut-over with all required deliverables. The framework provided maps out ITIL's release and deployment process by means of IT projects; furthermore it allows IT projects to interface easily with the ITIL change-management process. © 2015 Nageldinger. Source


Houmb S.H.,Otto Group | Franqueira V.N.L.,University of Twente | Engum E.A.,National Oilwell Varco
Journal of Systems and Software | Year: 2010

Modern society relies on and profits from well-balanced computerized systems. Each of these systems has a core mission such as the correct and safe operation of safety critical systems or innovative and effective operation of e-commerce systems. It might be said that the success of these systems depends on their mission. Although the concept of "well-balanced" has a slightly different meaning for each of these two categories of systems, both have to meet customer needs, deliver capabilities and functions according to expectations and generate revenue to sustain today's highly competitive market. Tighter financial constraints are forcing safety critical systems away from dedicated and expensive communication regimes, such as the ownership and operation of dedicated communication links, towards reliance on third parties and standardized means of communication. As a consequence, knowledge about their internal structures and operations is more widely and publicly available and this can make them more prone to security attacks. These systems are, therefore, moving towards a remotely exploitable environment and the risks associated with this must be controlled. Risk management is a good tool for controlling risk but it has the inherent challenge of quantitatively estimating frequency and impact in an accurate and trustworthy way. Quantifying the frequency and impact of potential security threats requires experience-based data which is limited and rarely reusable because it involves company confidential data. Therefore, there is a need for publicly available data sources that can be used in risk estimation. This paper presents a risk estimation model that makes use of one such data source, the Common Vulnerability Scoring System (CVSS). The CVSS Risk Level Estimation Model estimates a security risk level from vulnerability information as a combination of frequency and impact estimates derived from the CVSS. It is implemented as a Bayesian Belief Network (BBN) topology, which allows not only the use of CVSS-based estimates but also the combination of disparate information sources and, thus, provides the ability to use whatever risk information that is available. The model is demonstrated using a safety- and mission-critical system for drilling operational support, the Measurement and Logging While Drilling (M/LWD) system. © 2009 Elsevier Inc. Source

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