Evaluation Of An Augmented Reality Qualification System For Manual Assembly And Maintenance

Today's manufacturing landscape is faced with a variety of challenges, including globalization, rapidly evolving sales markets, shortened product life cycles, customization, mass production and variant diversity. These trends are expected to continue, if not intensify, in the near future. Companies in this sector identify speed and adaptability of production processes as critical success factors. In order to meet the demands of the market, it is becoming important to deploy personnel strategically and flexibly throughout the entire production process. This increased need for versatility raises the imperative for additional qualification among the workforce. The integration of Augmented Reality (AR) into operational procedures makes it possible to present information in a context-specific and location-based manner by superimposing virtual cues onto the real environment. At the same time, smart glasses can offer a significant and adaptable level of support by enabling the provision of different forms of media while ensuring the availability of both hands. This paper shows results of an ongoing long-term study with the AR-based qualification system AQUA. The software aims to enable the preservation of internal specialist knowledge with minimal effort and to facilitate the creation of training courses that effectively convey learning content to learners without subjecting them to over- or under-challenges. The paper conducts a comparative analysis of employee qualification achieved through AQUA, experienced employee mentoring, and traditional paper-based learning methodologies. It evaluates both the learning quality and duration across these methods, thereby enabling the derivation of insights regarding the potential monetary advantages associated with the utilization of the AR-based qualification approach

Towards Versatile Access Networks

AbstractCompared to its previous generations, the 5th generation (5G) cellular network features an additional type of densification, i.e., a large number of active antennas per access point (AP) can be deployed. This technique is known as massive multipleinput multiple-output (mMIMO) [1]. Meanwhile, multiple-input multiple-output (MIMO) evolution, e.g., in channel state information (CSI) enhancement, and also on the study of a larger number of orthogonal demodulation reference signal (DMRS) ports for MU-MIMO, was one of the Release 18 of 3rd generation partnership project (3GPP Rel-18) work item [2]. This release (3GPP Rel-18) package approval, in the fourth quarter of 2021, marked the start of the 5G Advanced evolution in 3GPP [3]. The other items in 3GPP Rel-18 are to study and add functionality in the areas of network energy savings, coverage, mobility support, multicast broadcast services, and positioning [2].Abstract Compared to its previous generations, the 5th generation (5G) cellular network features an additional type of densification, i.e., a large number of active antennas per access point (AP) can be deployed. This technique is known as massive multipleinput multiple-output (mMIMO) [1]. Meanwhile, multiple-input multiple-output (MIMO) evolution, e.g., in channel state information (CSI) enhancement, and also on the study of a larger number of orthogonal demodulation reference signal (DMRS) ports for MU-MIMO, was one of the Release 18 of 3rd generation partnership project (3GPP Rel-18) work item [2]. This release (3GPP Rel-18) package approval, in the fourth quarter of 2021, marked the start of the 5G Advanced evolution in 3GPP [3]. The other items in 3GPP Rel-18 are to study and add functionality in the areas of network energy savings, coverage, mobility support, multicast broadcast services, and positioning [2]

Towards versatile access networks (Chapter 3)

Compared to its previous generations, the 5th generation (5G) cellular network features an additional type of densification, i.e., a large number of active antennas per access point (AP) can be deployed. This technique is known as massive multipleinput multiple-output (mMIMO) [1]. Meanwhile, multiple-input multiple-output (MIMO) evolution, e.g., in channel state information (CSI) enhancement, and also on the study of a larger number of orthogonal demodulation reference signal (DMRS) ports for MU-MIMO, was one of the Release 18 of 3rd generation partnership project (3GPP Rel-18) work item. This release (3GPP Rel-18) package approval, in the fourth quarter of 2021, marked the start of the 5G Advanced evolution in 3GPP. The other items in 3GPP Rel-18 are to study and add functionality in the areas of network energy savings, coverage, mobility support, multicast broadcast services, and positionin

Safety of reagents for infection testing: Results of the market surveillance by the Federal Institute for Drugs and Medicinal Devices until end 2006

and end of 2006 were analyzed in respect to the source of report, the underlying product defects, and the performed corrective actions. Within the observation period a total of 888 reports on IVD were received of which 90 related to the IVD for infection testing included in our study. Reports were predominantly received from manufacturers (55) and Competent Authorities (29). Affected products were most frequently those for serological analysis (42) and culturing techniques (36), whereas molecular biological tests played only a minor role (12). Investigations of the manufacturers were able to identify the underlying root causes of product failures in 68 cases (75.6 %). In 16 cases (17.8 %) the root cause remained unclear and in 6 cases (6.6 %) a product failure was excluded or a user error was the underlying cause. Most frequently product failures were caused by material defects (25), production errors (11), microbial contamination (6), and labelling errors (5). Manufacturers issued corrective measures in 73 cases (81.1 %). Based on the underlying root causes of product failures, these were predominantly (multiple entries) customer information (71), recall (58), modifications in production or quality management (50), modifications of the raw materials (17), and modifications of the instructions for use (12). The results and experience obtained since 1999 suggest that the system for post marketing surveillance of IVD is an established tool to ensure product safety even though the current system can be further optimised

Milling strategies optimized for industrial robots to machine hard materials

Industrial robots offer a good basis for machining from a conceptual point of view. Still they are rarely utilized for machining applications in industry compared to CNC machines due to their low stiffness and the bad achievable work piece quality. Available compensation approaches, like online compensation approaches to increase position accuracy using costly additional hardware and measurement equipment as well as offline compensation approaches using a set of empirical measurement data and models to predict deviation, try to compensate errors whether to already avoid them if possible. In this paper milling and robot strategies are proposed to increase work piece quality without additional hardware or models. Experimental validations of the results have been performed for different kinds of shapes and materials