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Garrigos I.,University of Alicante | Gomez J.,University of Alicante | Houben G.-J.,Technische University
Information and Software Technology | Year: 2010

Personalization of websites has become an important issue in Web modeling methods due to their big and heterogeneous audience. However, due to the existence of too many notations to represent the same design concepts in different methodologies, personalization specifications cannot be used out of the scope of a single tool or method. Moreover, in some cases, personalization is not defined as a separate aspect, being difficult to maintain and update. This paper tackles the aforementioned problems presenting a generic modeling technique to facilitate the specification of the personalization. Personalization specifications can be reused across different websites and different development environments. © 2010 Elsevier B.V. All rights reserved.

Grefhorst C.,S and B Industrial Minerals | Podobed O.,S and B Industrial Minerals | Lafay V.,S and B Industrial Minerals | Tilch W.,Technische University
China Foundry | Year: 2010

This paper describes the development of an inorganic alternative to coal or coal replacement for bentonite bonded molds (greensand molding) and the realization in an operating foundry. Through a time period of 1.5 years, Componenta Foundry changed in many steps from a classical green sand system to a coal free system, based on ENVIBOND ® developed in the GO-APIC project and further development as an S&B project. At Componenta Foundry, the percentage of casting defects or scrap did not increase. There was a tendency of an increase in stress (scabbing) defects and of a decrease in penetration defects. Benzene emission is reduced by 40%, odor emission has lower values (not statistically proven). Visible is less smoke in the foundry, especially at the cooling line. The benefits for health and emissions are clearly seen.

Fiolka A.,Ludwig Maximilians University of Munich | Gillen S.,Ludwig Maximilians University of Munich | Gillen S.,Technische University | Meining A.,Ludwig Maximilians University of Munich | And 2 more authors.
Minimally Invasive Therapy and Allied Technologies | Year: 2010

Skill training is an essential part of surgical education. Every physician has to get familiar with the various operation techniques and needs to handle the different instruments. However, mechanical and computer-based VR-simulators offer only one specific procedure, either laparoscopic or endoscopic. We designed the universal training system ELITE (endoscopic-laparoscopic interdisciplinary training entity) which is a new full synthetic ex vivo surgical training model for laparoscopic surgery, combined endoluminal/ endocavitary procedures ("hybrid surgery") and NOTES. The aim of the current investigation was to integrate respiration and electro dissection into the model, and the evaluation of both innovations. The ELITE is a full-size replica of a human female torso including a gas-tight abdominal wall and offering various accesses to the abdomen. A complete organ package including liver, gallbladder, spleen, gastrointestinal tract, including the mesentery and omentum is available for this system. Cholecystectomy and appendectomy can be simulated realistically with this new training system. For more realistic conditions during operations breathing-induced organ motion could be integrated into this system. Two latex balloons were inserted into the system to imitate the function of the diaphragm. They are inflated and deflated according to the respiration cycle and move the artificial organs in a natural way. Physicians, including endoscopic/laparoscopic novices and experts, were asked to train different NOTES procedures on the model. Performance of their training and subjective appraisal of the model itself were evaluated. The opportunity of electrodissection of the gallbladder and appendix and simulation of breath excursion of the diaphragm could successfully be implemented into the training system. One recently published study showed that ELITE is a suitable tool to train different surgical procedures. All subjects (novices and endoscopic/laparoscopic experts) showed a significant learning curve during the assessment. Experts could be reliably differentiated from novices. The actual evaluation of the model showed that 97% of the subjects considered the ELITE as a useful simulator for NOTES. ELITE was validated to be a suitable tool to train different NOTES procedures. As a step by step training of NOTES is highly recommended, this training system offers the opportunity by degrees that animal experiments can be replaced, especially, for learning of basic techniques and thus costs can be significantly reduced. © 2010 Informa Healthcare.

Herzog D.,Technische University | Wrndl W.,Technische University
CEUR Workshop Proceedings | Year: 2015

In this paper, we summarize our previous work in the field of event recommendations and give an outlook on future work. We developed a recommender system which implements a hybrid recommendation technique to provide accurate recommendations. A two-week user study showed that our system delivers promising results. Nevertheless, we believe that this approach mainly supports users who are looking for recommendations a long time in advance. Other possible situations in which people could be open for recommendations are more spontaneous, for example, when they are already out exploring the city. We give an overview of aspects which have to be considered fur such sponta- neous recommendations on the go and the role of social context in this scenario.

Zang X.,Ludivig Maximilians University | Brscic D.,Japan Advanced Telecommunications Research Institute International | Wang W.,Technische University | Hirche S.,Technische University | Kiihnlenz K.,Technische University
Journal of University of Science and Technology of China | Year: 2012

An important ability for mobile robots is to process multiple tasks in complex environments. Since the sensor resources on a robot are limited, it is necessary to distribute the sensors' atention to different tasks along the time scale. A human inspired temporal attention control method is proposed, which aims at detecting multiple objects and estimating their poses with a single actuated camera. The proposed method is based on three criteria which are partially inspired by human behavior: CD Minimization of the overall object poses perception uncertainty and minimization of the variance of the perception uncertainty of different objects; © Minimizing the energy cost of the camera movements for completing the tasks; (3) Maximization of the number of objects in the camera's field of view. Kalman filters are used to estimate the object poses and to determine the perception uncertainty. The proposed approach is tested in both simulation and an experiment on the robot. The results show that the proposed approach is able to switch the camera's attention according to the object's states efficiently with a low frequency of camera movements.

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