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‘A little more humanity’: placement officers in Germany between social work and social policy
(2019)
By definition, no social work is supposed to be carried out in the labour administration. However, what do German placement officers reveal about the implementation of social policy when they describe their activity as social work? Classical research studies on public employment service (PES) as well as our own empirical research reveal the following: while it emerged from earlier studies that placement officers described themselves as ‘social workers’ in order to lend greater meaning to their activities, interviews conducted with today's placement officers indicate their criticism as well: dysfunctional effects of an organisational means of achieving the social policy goals set by the Hartz labour-market reforms (2003-05) are specified – including the welfare-to-work principle being made unnecessarily stricter, thereby increasing the risk of the unemployed becoming ‘genuine’ social work cases.
This paper presents the hardware design, software architecture and workflow for rapid control prototyping intended for a wide-range of power electronics based systems. The proposed system is especially useful for computationally intensive algorithms and applications with high demands on the number of required measurements and gate signals. The focus is on a heterogeneous system architecture with minimized latency and jitter as well as a high signal integrity. The software architecture enables a simple, fast and performance driven implementation. A combination of carrier board and exchangeable interfacing adapter boards allows to control a wide range of power electronics applications and converters, i.e., starting with a single switching device, converters with one or several voltage levels and one or several phase legs, up to large modular multilevel converters for grid-tied connection or variable speed drives.
An approach to estimate the submodule capacitor voltages in a Modular Multilevel Converter (MMC) is presented and realized in a hardware test setup. One disadvantage of the MMC topology is the high communication and measurement effort. As the submodule voltages are being estimated, the measurement effort as well as the communication effort between the submodules and the main controller hardware is significantly reduced. Thereby, the reliability of the system also increases. In the hardware test setup, it is verified that using a notch filter in the feedback path of the energy control loop significantly decreases unwanted AC components of the circulating currents within the MMC. Subsequently the current stress as well as the conduction and switching losses in the semiconductors can be minimized. Furthermore, the dynamic performance of the capacitor voltage estimation and control scheme was analyzed via hardware tests.
Ein- und Durchschlafstörungen, nichterholsamer Schlaf oder erhöhte Tagesmüdigkeit sind unspezifische Symptome von heute ca. 100 unterscheidbaren Störungsbildern, die in der kommenden 11. Revision der Internationalen statistischen Klassifikation der Krankheiten (ICD-11) erstmals als eigenes Kapitel 7 „Schlaf-Wach-Störungen“ zusammengefasst werden. Mit Blick auf den Fachbereich Psychiatrie und Psychotherapie besteht ein bidirektionaler Zusammenhang zwischen Schlaf-Wach-Störungen und psychischen Erkrankungen. Schlaf-Wach-Störungen können einen unabhängigen Risikofaktor für das Entstehen einer psychischen Erkrankung darstellen und den Erkrankungsverlauf ungünstig beeinflussen. Zudem können Schlaf-Wach-Störungen einer psychischen Erkrankung auch als Frühsymptom vorausgehen und damit ein wichtiger Hinweis bei der Früherkennung sein. Zahlreiche Schlaf-Wach-Störungen können anhand der Anamnese und üblicher klinischer Untersuchungen diagnostiziert werden. Bei spezielleren Fragestellungen können die Untersuchung in einem speziali-sierten Schlaflabor und die Behandlung in einem schlafmedizinischen Zentrum im Sinne einer gestuften Versorgung notwendig sein. Hier ist die Polysomnographie die wichtigste Untersuchungsmethode für die Differenzialdiagnostik, für deren Abrechnung über die Kostenträger heute in Deutschland jedoch keine gesetzliche Grundlage im Bereich neuro-psychiatrischer Störungen besteht. Die vorliegende Arbeit fasst die aktuellen Leitlinien hinsichtlich der Kriterien für eine Untersuchung im Schlaflabor aus Sicht des Fachgebiets Psychiatrie und Psychotherapie zusammen und stellt daraus abgeleitet Forderungen für eine leitliniengerechte Diagnostik und Behandlung.
In order to allow robust obstacle detection for autonomous freight traffic using freight trains or shunting locomotives, several different sensors are required. Humans and other objects must be detected so that the vehicle can stop in time. Laser scanners deliver distance information and are popular in robotics and automation. Cameras deliver further pieces of information on the environment and are especially useful for the classification of objects, but do not deliver distance measurements. Thermal cameras are ideal for the detection of humans based on their body temperature if the surrounding temperature is not too similar. It is only the combination of these different sensors which delivers enough robustness. Therefore a sensor fusion and an extrinsic calibration has to take place. This article presents an approach fusing a 2D and an 8-layer 3D laser scanner with a thermal and a Red-Green-Blue (RGB) camera, using a triangular calibration target taking all six degrees of freedom into account. The calibration was tested and the results validated during reference measurements and autonomous and manually controlled field tests. This sensor fusion approach was used for the obstacle detection of an autonomous shunting locomotive.
In this paper the authors present a method to equip small and medium enterprises with a highly flexible product line to automate their production through a robotic welding application. The goal is to program a welding robot offline, similar to manual welding. To create the welding application, the workpiece is placed on a programming table and the welder traces the sheet metal joints with a position tracked pointing device. For simulation of the process, virtual weld seams are simultaneously displayed in the video stream of the Augmented Reality camera. The trajectories of the virtual welds are recorded, converted into executable robot code, loaded onto the robot therefore making an immediate machining of the workpiece possible. With this method, robot programs can be created very quickly, easily and cost-effectively, which makes robot production economical even for mass-individualization.
The current standard for the production of 3D printed components with the "Fused Deposition Modelling" (FDM) process allows the use of one or two printing nozzles with fixed diameters. The selected diameter of the nozzle represents a suboptimal compromise between the highest possible level of detail and a large flow rate to shorten the printing time. This paper describes the new concept of a rotatable print head with a slot-shaped nozzle opening and the real implementation of the print head in an FDM machine. The innovative concept presented here opens up new possibilities for the free adjustment of line widths to be printed and thus also of variable layer heights in a wide range. With the additional parameters achieved with this method, the printing time of parts with a high degree of detail, if necessary, can be enormously reduced. In addition, the modified printing nozzle and the modification of the program code used for conventional FDM machines are described.
Time series are series of values ordered by time. This kind of data can be found in many real world settings. Classifying time series is a difficult task and an active area of research. This paper investigates the use of transfer learning in Deep Neural Networks and a 2D representation of time series known as Recurrence Plots. In order to utilize the research done in the area of image classification, where Deep Neural Networks have achieved very good results, we use a Residual Neural Networks architecture known as ResNet. As preprocessing of time series is a major part of every time series classification pipeline, the method proposed simplifies this step and requires only few parameters. For the first time we propose a method for multi time series classification: Training a single network to classify all datasets in the archive with one network. We are among the first to evaluate the method on the latest 2018 release of the UCR archive, a well established time series classification benchmarking dataset.
This paper presents a comparison of a traditional hybrid speech recognition system (kaldi using WFST and TDNN with lattice-free MMI) and a lexicon-free end-to-end (TensorFlow implementation of multi-layer LSTM with CTC training) models for German syllable recognition on the Verbmobil corpus. The results show that explicitly modeling prior knowledge is still valuable in building recognition systems. With a strong language model (LM) based on syllables, the structured approach significantly outperforms the end-to-end model. The best word error rate (WER) regarding syllables was achieved using kaldi with a 4-gram LM, modeling all syllables observed in the training set. It achieved 10.0% WER w.r.t. the syllables, compared to the end-to-end approach where the best WER was 27.53%. The work presented here has implications for building future recognition systems that operate independent of a large vocabulary, as typically used in a tasks such as recognition of syllabic or agglutinative languages, out-of-vocabulary techniques, keyword search indexing and medical speech processing.