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E-exams in engineering education — online testing of engineering competencies: Experiences and lessons learned
No full textRPA for the Financial Industry Particular challenges and outstanding suitability combined
No full textLike many service industries, the financial industry is largely characterized by administrative and back-office processes and distinguished by a broad systems landscape with a high proportion of legacy systems. Missing interfaces between Information Systems, User Interfaces or Web Applica-tions often require many manual activities. As banks are often functionally organized into traditional departments, a process-oriented organizational structure is rarely in place. The financial industry therefore offers enormous potential for the use of Robotic Process Automation (RPA) and the rais-ing of potential benefits such as process-related cost savings, time reductions and quality im-provements.
The aim of this chapter is to describe the tremendous opportunities that the use of RPA technology offers to the financial industry and to explain how these opportunities can be realized. Therefore, we start by explaining the challenges that progressive digitalization poses to the industry and how RPA, but also more advanced technologies (that work not only rule-based but also define own rules), such as Artificial Intelligence (AI), can help to overcome them. As well as providing an over-view of the various applications of RPA in the financial industry, we also provide a comprehensive case study of a relevant practical application
Strengthening international education and internationalization in uncertain times - Lessons from an EU onlline negotation simulation exercise
No full textSurvey about do-it-yourself closed loop systems in the treatment of diabetes in Germany
No full textContinuous glucose monitoring (CGM) improves treatment with lower blood glucose levels
and less patient effort. In combination with continuous insulin application, glycemic control
improves and hypoglycemic episodes should decrease. Direct feedback of CGM to continuous
subcutaneous insulin application, using an algorithm is called a closed-loop (CL)
artificial pancreas system. Commercial devices stop insulin application by predicting hypoglycemic
blood glucose levels through direct interaction between the sensor and pump. The
prediction is usually made for about 30 minutes and insulin delivery is restarted at the previous
level if a rise in blood glucose is predicted within the next 30 minutes (hybrid closed loop
system, HCL this is known as a predictive low glucose suspend system (PLGS)). In a fully
CL system, sensor and pump communicate permanently with each other. Hybrid closedloop
(HCL) systems, which require the user to estimate the meal size and provide a meal
insulin basis, are commercially available in Germany at the moment. These systems result
in fewer hyperglycemic and hypoglycemic episodes with improved glucose control. Open
source initiatives have provided support by building do-it-yourself CL (DIYCL) devices for
automated insulin application since 2014, and are used by a tech-savvy subgroup of
patients. The first commercial hybrid CL system has been available in Germany since September
2019. We surveyed 1054 patients to determine which devices are currently used,
which features would be in demand by potential users, and the benefits of DIYCL systems.
9.7% of these used a DIYCL system, while 50% would most likely trust these systems but
more than 85% of the patients would use a commercial closed loop system, if available. The
DIYCL users had a better glucose control regarding their time in range (TIR) and glycated
hemoglobin (HbA1c)
Substrate for a mirror support with reduced weight as well as mirror with reduced-weight mirror support
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Pose Based Trajectory Forecast of Vulnerable Road Users
No full textIn this article, we investigate the use of 3D human poses for trajectory forecasting of vulnerable road users (VRUs), such as pedestrians and cyclists, in road traffic. The forecast is based on past movements of the respective VRU and an important aspect in driver assistance systems and autonomous driving, which both could increase VRU safety. The 3D poses represent the entire body posture of the VRUs and can therefore provide important indicators for trajectory forecasting. In particular, we investigate the influence of different joint combinations and input sequence lengths of past movements on the accuracy of trajectory forecasts for pedestrians and cyclists. In addition, we divide VRU movements into the motion types wait, start, move, and stop and evaluate the results separately for each of them. Comparing it to an existing, solely head based trajectory forecast, we show the advantages of using 3D poses. With an input sequence length of 1.0 s, the forecasting error is reduced by 17.9 % for starting, 8.18 % for moving, and 11.0 % for stopping cyclists. For pedestrians, the error is reduced by 6.93 %, 2.73 %, and 5.02 %, respectively. With shorter input sequences, the improvements over the solely head based method remain for cyclists and even increase for pedestrians
Work-in-Progress: Learning Culture of Generation Z in Informatics
No full textA new generation of students is entering the university - Generation Z. This generation is characterized mainly by the existing digitization, since they grew up entirely in it. With regard to different generations, the relationship of the different ages and the associated large cohort difference in the interaction between lecturers and learners should be taken into account and analysed. It’s important because, according to the Hattie study, the most important influencing factor for the learning success of learners are the teachers. This means that excellence in teaching (according to the characteristics of the learners) is the most important single factor for the learning outcome. In order to draw the link to Informatics, the consideration of the subject-related culture and the connected learning culture is of central importance. It is obvious to recognize learning cultures in their cultural context, in their reasons and with their consequences for lecturers and students. Frames are therefore not static, but socially constructed and therefore changeable. Learning cultures are created in a communicative negotiation process by all actors in a learning situation. Subject-related culture research also deals with the question of whether and to what extent university teaching differs and which different behaviors can be found among its members. The aim is to classify the Informatics subject-related culture and to describe the ideas and expectations of lecturers and students in the learning environment and in the various social contexts of Informatics, and to reconstruct implicit, practical knowledge for the improvement of learning in Informatics
Application of the Effective Innovation Leadership Model in a Digital Innovation Project: Case Study
No full textGermany has become sedate and partially missed digital opportunities generating value. Since 1995, the term innovation leadership is getting increasing attention. Still, there exists no clear definition. The effective innovation leadership (EIL) model resulted from a Ph.D. thesis and is grounded in the iteration of six data sets. It has been used in industry since 2014. This chapter examines the application of the EIL model in one German middle-class enterprise in 2018/2019. Core challenges in the systemic context, which hinder the effectiveness of innovation leadership in the organizational context, are the support of people across functions and hierarchies as well as inflexible structures and digital access. Especially negative pressure coming from an overvaluation of the shareholder, egos fighting for power, extensive drama triangular, fixed mindsets, and freeloaders hinder the effectiveness of innovation leadership. A comparison of the EIL model with rival theory shows that innovation leadership is close to entrepreneurial approaches and an integral part of innovation management