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Einfluß der Kontoführungsmodelle auf den Effektivzins und die Restschuld bei Annuitätendarlehen
(1989)
Effektivzins und APR
(1991)
Steuerreformgesetz 1990
(1989)
Steuerreformgesetz 1990
(1989)
Multiplikativ oder additiv? Diskussionsbeitrag zu Preisanpassungsklauseln in der Gaswirtschaft
(1985)
Statische oder dynamische Wirtschaftlichkeitsberechnung bei Investitionen zur Energieeinsparung
(1982)
Kurzschlußstromberechnung
(1980)
Use of textile structures for reinforcement of pelvic floor structures has to consider mechanical forces to the implant, which are quite different to the tension free conditions of the abdominal wall. Thus, biomechanical analysis of textile devices has to include the impact of strain on stretchability and effective porosity. Prolift® and Prolift + M®, developed for tension free conditions, were tested by measuring stretchability and effective porosity applying mechanical strain. For comparison, we used Dynamesh-PR4®, which was designed for pelvic floor repair to withstand mechanical strain. Prolift® at rest showed moderate porosity with little stretchability but complete loss of effective porosity at strain of 4.9 N/cm. Prolift + M® revealed an increased porosity at rest, but at strain showed high stretchability, with subsequent loss of effective porosity at strain of 2.5 N/cm. Dynamesh PR4® preserved its high porosity even under strain, but as consequence of limited stretchability. Though in tension free conditions Prolift® and Prolift + M® can be considered as large pore class I meshes, application of mechanical strain rapidly lead to collapse of pores. The loss of porosity at mechanical stress can be prevented by constructions with high structural stability. Assessment of porosity under strain was found helpful to define requirements for pelvic floor devices. Clinical studies have to prove whether devices with high porosity as well as high structural stability can improve the patients' outcome.
South Africa in recent years is the establishment of a number of research hubs involved in AI activities ranging from mobile robotics and computational intelligence, to knowledge representation and reasoning, and human language technologies. In this survey we take the reader through a quick tour of the research being conducted at these hubs, and touch on an initiative to maintain and extend the current level of interest in AI research in the country.
Security Awareness ist derzeit ein viel diskutiertes Thema. Es reicht nicht, einfach nur ein paar technische Systeme (z.B. Firewalls) zu installieren, um ein angemessenes Schutzniveau zu erzielen. Neben einer guten Organisation von IT Security ist es auch notwendig, den Mitarbeiter einzubinden. Der vielzitierte "Faktor Mensch" ist derjenige, der die Technik korrekt anwenden muss und der durch falsches Verhalten technische und organisatorische Schutzmaßnahmen aushebeln kann. Deshalb reicht es nicht aus, wenn sich der Mitarbeiter der Gefahren bewusst ("aware") ist, er muss auch dementsprechend "sicher" handeln.
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