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In this paper we present CAESAR, an intelligent domestic service robot. In domestic settings for service robots complex tasks have to be accomplished. Those tasks benefit from deliberation, from robust action execution and from flexible methods for human–robot interaction that account for qualitative notions used in natural language as well as human fallibility. Our robot CAESAR deploys AI techniques on several levels of its system architecture. On the low-level side, system modules for localization or navigation make, for instance, use of path-planning methods, heuristic search, and Bayesian filters. For face recognition and human–machine interaction, random trees and well-known methods from natural language processing are deployed. For deliberation, we use the robot programming and plan language READYLOG, which was developed for the high-level control of agents and robots; it allows combining programming the behaviour using planning to find a course of action. READYLOG is a variant of the robot programming language Golog. We extended READYLOG to be able to cope with qualitative notions of space frequently used by humans, such as “near” and “far”. This facilitates human–robot interaction by bridging the gap between human natural language and the numerical values needed by the robot. Further, we use READYLOG to increase the flexible interpretation of human commands with decision-theoretic planning. We give an overview of the different methods deployed in CAESAR and show the applicability of a system equipped with these AI techniques in domestic service robotics
Concentrating solar power
(2012)
With a steady increase of regulatory requirements for business processes, automation support of compliance management is a field garnering increasing attention in Information Systems research. Several approaches have been developed to support compliance checking of process models. One major challenge for such approaches is their ability to handle different modeling techniques and compliance rules in order to enable widespread adoption and application. Applying a structured literature search strategy, we reflect and discuss compliance-checking approaches in order to provide an insight into their generalizability and evaluation. The results imply that current approaches mainly focus on special modeling techniques and/or a restricted set of types of compliance rules. Most approaches abstain from real-world evaluation which raises the question of their practical applicability. Referring to the search results, we propose a roadmap for further research in model-based business process compliance checking.
Stahlbau
(2012)
Die fermentative Verwertung von Rohglycerin setzt je nach Herstellungsmethode und Produktionsorganismus eine Vorbehandlung des Glycerins zur Entfernung von Produktinhibitoren voraus. Durch den Einsatz von Hydrotalcit-Adsorbern können die im Rohglycerin enthaltenen Fettsäuren entfernt werden. Durch diese einfache Aufarbeitungsmethode ist ein mit reinem Glycerin vergleichbarer Umsatz von stark mit Fettsäuren verunreinigtem Rohglycerin zu 1,3-Propandiol (PDO) möglich. Die durch den Hydrotalcit gebundenen Fettsäuren lassen sich mit einem Ethanol-Wasser-Gemisch eluieren. Somit kann der Adsorber regeneriert und die Fettsäuren wieder der Wertschöpfungskette zugeführt werden. Im Fed-Batch-Experiment kann mit C. diolis eine PDO-Konzentration von über 50 g L⁻¹ unter Verwendung des aufgereinigten Rohglycerins erzielt werden. In der industriellen Produktion wird PDO momentan destillativ aufgearbeitet. Ein adsorptives Aufarbeitungsverfahren kann den Energiebedarf des Herstellungsprozesses drastisch senken. Auf der Suche nach einem geeigneten Material wurde ein Adsorberscreening in Bezug auf die Bindungseigenschaften durchgeführt. Mit einem b-Zeolith der Firma Süd ChemieAG konnte bisher die höchste Beladung im Modellsystem von 120 mg PDO/gAdsorber erreicht werden.
Label-free electrical detection of consecutive deoxyribonucleic acid (DNA) hybridization/denaturation by means of an array of individually addressable field-effect-based nanoplate silicon-on-insulator (SOI) capacitors modified with gold nanoparticles (Au-NP) is investigated. The proposed device detects charge changes on Au-NP/DNA hybrids induced by the hybridization or denaturation event. DNA hybridization was performed in a high ionic-strength solution to provide a high hybridization efficiency. On the other hand, to reduce the screening of the DNA charge by counter ions and to achieve a high sensitivity, the sensor signal induced by the hybridization and denaturation events was measured in a low ionic-strength solution. High sensor signals of about 120, 90, and 80 mV were registered after the DNA hybridization, denaturation, and re-hybridization events, respectively. Fluorescence microscopy has been applied as reference method to verify the DNA immobilization, hybridization, and denaturation processes. An electrostatic charge-plane model for potential changes at the gate surface of a nanoplate field-effect sensor induced by the DNA hybridization has been developed taking into account both the Debye length and the distance of the DNA charge from the gate surface.