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The research work analyses the relationship of 155 Process Intensification (PI) technologies to the components of the Theory of Inventive Problem Solving (TRIZ). It outlines TRIZ inventive principles frequently used in PI, and identifies opportunities for enhancing systematic innovation in process engineering by applying complementary TRIZ and PI. The study also proposes 70 additional inventive TRIZ sub-principles for the problems frequently encountered in process engineering, resulting in the advanced set of 160 inventive operators, assigned to the 40 TRIZ inventive principles. Finally, we analyse and discuss inventive principles used in 150 patent documents published in the last decade in the field of solid handling in the ceramic and pharmaceutical industries.
Process engineering (PE) focuses on the design, operation, control and optimization of chemical, physical and biological processes and has applications in many industries. Process intensification (PI) is the key development approach in the modern process engineering. The theory of inventive problem solving (TRIZ) is today considered as the most comprehensive and systematically organized invention knowledge and creative thinking methodology. This paper analyses the opportunities of TRIZ application in PE and especially in combination with PI. In this context the paper outlines the major challenges for TRIZ application in PE, conceptualizes a possible TRIZ-based approach for process intensification and problem solving in PE, and defines the corresponding research agenda. It also presents the results of the original empirical innovation research in the field of solid handling in the ceramic industry, demonstrates a method for identification and prediction of contradictions and introduces the concept of the probability of contradiction occurrence. Additionally, it describes a technique of process mapping that is based on the function and multi-screen analysis of the processes. This technique is illustrated by a case study dealing with granulation process. The research work presented in this paper is a part of the European project “Intensified by Design® platform for the intensification of processes involving solids handling”.
The modern TRIZ is today considered as the most organized and comprehensive methodology for knowledge-driven invention and innovation. When applying TRIZ for inventive problem solving, the quality of obtained solutions strongly depends on the level of completeness of the problem analysis and the abilities of designers to identify the main technical and physical contradictions in the inventive situation. These tasks are more complex and hence more time consuming in the case of interdisciplinary systems. Considering a mechatronic product as a system resulting from the integration of different technologies, the problem definition reveals two kinds of contradictions: 1) the mono-disciplinary contradictions within a homogenous sub-system, e.g., only mechanical or only electrical; 2) the interdisciplinary contradictions resulting from the interaction of the mechatronic sub-systems (mechanics, electrics, control and software). This paper presents a TRIZ-based approach for a fast and systematic problem definition and contradiction identification, which could be useful both for engineers and students facing mechatronic problems. It also proposes some useful problem formulation tech-niques such as the System Circle Diagram, the enhancement of System Operator with the Evolution Patterns, the extension of MATChEM-IB operator with Infor-mation field and Human Interactions, as well as the Cause-Effect-Matrix.
Economic growth and ecological problems have pushed industries to switch to eco-friendly technologies. However, environmental impact is still often neglected since production efficiency remains the main concern. Patent analysis in the field of process engineering shows that, on the one hand, some eco-issues appear as secondary problems of the new technologies, and on the other hand, eco-friendly solutions often show lower efficiency or performance capability. The study categorizes typical environmental problems and eco-contradictions in the field of process engineering involving solids handling and identifies underlying inventive principles that have a higher value for environmental innovation. Finally, 42 eco-innovation methods adapting TRIZ are chronologically presented and discussed.
Accelerated transformation of the society and industry through digi-talization, artificial intelligence and other emerging technologies has intensified the need for university graduates that are capable of rapidly finding breakthrough solutions to complex problems, and can successfully implement innovation con-cepts. However, there are only few universities making significant efforts to com-prehensively incorporate creative and systematic tools of TRIZ (theory of in-ventive problem solving) and KBI (knowledge-based innovation) into their de-gree structure. Engineering curricula offer little room for enhancing creativity and inventiveness by means of discipline‐specific subjects. Moreover, many ed-ucators mistakenly believe that students are either inherently creative, or will in-evitably obtain adequate problem-solving skills as a result of their university study. This paper discusses challenges of intelligent integration of TRIZ and KBI into university curricula. It advocates the need for development of standard guidelines and best-practice recommendations in order to facilitate sustainable education of ambitious, talented, and inventive specialists. Reflections of educa-tors that teach TRIZ and KBI to students from mechanical, electrical, process engineering, and business administration are presented.
The comprehensive assessment method includes 80 innovation performance parameters and 10 key indicators of innovation capability, such as innovation process performance, innovating system performance, market and customer orientation, technology orientation, creativity, leadership, communication and knowledge management, risk and cost management, innovative climate, and innovation competences. The cross-industry study identifies parameters critical for innovation success and reveals different innovation performance patterns in companies.
CONTEXT
The paper addresses the needs of medium and small businesses regarding qualification of R&D specialists in the interdisciplinary cross-industry innovation, which promises a considerable reduction of investments and R&D expenditures. The cross-industry innovation is commonly understood as identification of analogies and transfer of technologies, processes, technical solutions, working principles or business models between industrial sectors. However, engineering graduates and specialists frequently lack the advanced skills and knowledge required to run interdisciplinary innovation across the industry boundaries.
PURPOSE
The study compares the efficiency of the cross-industry innovation methods in one semester project-oriented course. It identifies the individual challenges and preferred working techniques of the students with different prior knowledge, sets of experiences, and cultural contexts, which require attention by engineering educators.
APPROACH
Two parallel one-semester courses were offered to the mechanical and process engineering students enrolled in bachelor’s and master’s degree programs at the faculty of mechanical and process engineering. The students from different years of study were working in 12 teams of 3…6 persons each on different innovation projects, spending two hours a week in the classroom and additionally on average two hours weekly on their project research. Students' feedback and self-assessments concerning gained skills, efficiency of learned tools and intermediate findings were documented, analysed, and discussed regularly along the course.
RESULTS
Analysis of numerous student projects allows to compare and to select the tools most appropriate for finding cross-industry solutions, such as thinking in analogies, web monitoring, function-oriented search, databases of technological effects and processes, special creativity techniques and others. The utilization of learned skills in practical innovation work strengthens the motivation of students and enhances their entrepreneurial competences. Suggested learning course and given recommendations help facilitate sustainable education of ambitious specialists.
CONCLUSIONS
The structured cross-industry innovation can be successfully run as a systematic process and learned in one semester course. The choice of the preferred working teqniques made by the students is affected by their prior knowledge in science, practical experience, and cultural contexts. Major outcomes of the students’ innovation projects such as feasibility, novelty and customer value of the concepts are primarily influenced by students’ engineering design skills, prior knowledge of the technologies, and industrial or business experience.
The production of potable water in dry areas nowadays is mainly done by the desalination of seawater. State of the art desalination plants usually are built with high production capacities and consume a lot of electrical energy or energy from primary resources such as oil. This causes difficulties in rural areas, where no infrastructure is available neither for the plants’ energy supply nor the distribution of the produced potable water. To address this need, small, self-sustaining and locally operated desalination plants came into the focus of research. In this work, a novel flash evaporator design is proposed which can be driven either by solar power or by low temperature waste heat. It offers low operation costs as well as easy maintenance. The results of an experimental setup operated with water at a feed flow rate of up to 1,600 l/h are presented. It is shown that the proof of concept regarding efficient evaporation as well as efficient gas-liquid separation is provided successfully. The experimental evaporation yield counts for 98 % of the vapor content that is expected from the vapor pressure curve of water. Neither measurements of the electrical conductivity of the gained condensate, nor the analysis of the vapor flow by optical methods show significant droplet entrainment, so there are no concerns regarding the purity of the produced condensate for the use as drinking water.
Our media-artistic performances and installations, INTERCORPOREAL SPLITS (2010–2013), BUZZ (2014–2015), W ASTELAND (2015–2016), as well as our new collaboration with Bruno Latour , DE\GLOBALIZE (2018–2020), are not just about polyphony. Here, however, we rediscover them under this heading, thus giving them a new twist, while mapping out issues, mechanisms and functional modes of the polyphonic.
Mit Gendering Marteloskope stellen wir Entwicklungsprozess dar: Entstanden ist videografisches Material in Marteloskopen, die im Wald Bäume, Tablets und Menschen in Dialog zueinander setzen. Die Videografie und die Erfahrungen vor Ort werden mit Ansätzen aus Gender in Science and Technlogy Studies reflektiert sowie mit digital unterstützter kollaborativer Didaktik über interaktive Webdokumentationen zu Open Science Modulen zusammengeführt.
A method for determining properties of a pipeline includes feeding a sound wave signal at a predetermined feed point into the pipeline so that the sound wave signal propagates in an axial direction of the pipeline. The frequency spectrum of the transmitted sound wave signal has a frequency component or a spectral range with a maximum frequency that is smaller than the lower limit frequency for the first upper mode. Reflected portions of the transmitted sound wave signal are detected as received sound wave signal and are evaluated with regard to the transmitted sound wave signal to determine at least the distance of each reflection site from the feed point.
Online comment on: "Printing ferromagnetic domains for untethered fast-transforming soft materials"
(2018)
Numerous 2,5-dimethoxy-N-benzylphenethylamines (NBOMe), carrying a variety of lipophilic substituents at the 4-position, are potent agonists at 5-hydroxytryptamine (5HT2A ) receptors and show hallucinogenic effects. The present study investigated the metabolism of 25D-NBOMe, 25E-NBOMe, and 25N-NBOMe using the microsomal model of pooled human liver microsomes (pHLM) and the microbial model of the fungi Cunninghamella elegans (C. elegans). Identification of metabolites was performed using liquid chromatography-high resolution-tandem mass spectrometry (LC-HR-MS/MS) with a quadrupole time-of-flight (QqToF) instrument. In total, 36 25D-NBOMe phase I metabolites, 26 25E-NBOMe phase I metabolites and 24 25N-NBOMe phase I metabolites were detected and identified in pHLM. Furthermore, 14 metabolites of 25D-NBOMe, 11 25E-NBOMe metabolites, and nine 25N-NBOMe metabolites could be found in C. elegans. The main biotransformation steps observed were oxidative deamination, oxidative N-dealkylation also in combination with hydroxylation, oxidative O-demethylation possibly combined with hydroxylation, oxidation of secondary alcohols, mono- and dihydroxylation, oxidation of primary alcohols, and carboxylation of primary alcohols. Additionally, oxidative di-O-demethylation for 25E-NBOMe and reduction of the aromatic nitro group and N-acetylation of the primary aromatic amine for 25N-NBOMe took place. The resulting 25N-NBOMe metabolites were unique for NBOMe compounds. For all NBOMes investigated, the corresponding 2,5-dimethoxyphenethylamine (2C-X) metabolite was detected. This study reports for the first time 25X-NBOMe N-oxide metabolites and hydroxylamine metabolites, which were identified for 25D-NBOMe and 25N-NBOMe and all three investigated NBOMes, respectively. C. elegans was capable of generating all main biotransformation steps observed in pHLM and might therefore be an interesting model for further studies of new psychoactive substances (NPS) metabolism.
Lithium-ion pouch cells with lithium titanate (Li4Ti5O12, LTO) anode and lithium nickel cobalt aluminum oxide (LiNi0.8Co0.15Al0.05O2, NCA) cathode were investigated experimentally with respect to their electrical (0.1C…4C), thermal (5 °C…50 °C) and long-time cycling behavior. The 16 Ah cell exhibits an asymmetric charge/discharge behavior which leads to a strong capacity-rate effect, as well as a significantly temperature-dependent capacity (0.37 Ah ∙ K−1) which expresses as additional high-temperature feature in the differential voltage plot. The cell was cycled for 10,000 cycles inbetween the nominal voltage limits (1.7–2.7 V) with a symmetric 4C constant-current charge/discharge protocol, corresponding to approx. 3400 equivalent full cycles. A small (0.192 mΩ/1000 cycles) but continuous increase of internal resistance was observed. Using electrochemical impedance spectroscopy (EIS), this could be identified to be caused by the NCA cathode, while the LTO anode showed only minor changes during cycling. The temperature-corrected capacity during 4C cycling exhibited a decrease of 1.28%/1000 cycles. The 1C discharge capacity faded by only 4.0% for CC discharge and 2.3% for CCCV discharge after 10,000 cycles. The cell thus exhibits very good internal-resistance stability and excellent capacity retention even under harsh (4C continuous) cycling, demonstrating the excellent stability of LTO as anode material.
One of the bottlenecks hindering the usage of polymer electrolyte membrane fuel cell technology in automotive applications is the highly load-sensitive degradation of the cell components. The cell failure cases reported in the literature show localized cell component degradation, mainly caused by flow-field dependent non-uniform distribution of reactants. The existing methodologies for diagnostics of localized cell failure are either invasive or require sophisticated and expensive apparatus. In this study, with the help of a multiscale simulation framework, a single polymer electrolyte membrane fuel cell (PEMFC) model is exposed to a standardized drive cycle provided by a system model of a fuel cell car. A 2D multiphysics model of the PEMFC is used to investigate catalyst degradation due to spatio-temporal variations in the fuel cell state variables under the highly transient load cycles. A three-step (extraction, oxidation, and dissolution) model of platinum loss in the cathode catalyst layer is used to investigate the cell performance degradation due to the consequent reduction in the electro-chemical active surface area (ECSA). By using a time-upscaling methodology, we present a comparative prediction of cell end-of-life (EOL) under different driving behavior of New European Driving Cycle (NEDC) and Worldwide Harmonized Light Vehicles Test Cycle (WLTC).
On the Fundamental and Practical Aspects of Modeling Complex Electrochemical Kinetics and Transport
(2018)
Numerous technologies, such as batteries and fuel cells, depend on electrochemical kinetics. In some cases, the responsible electrochemistry and charged-species transport is complex. However, to date, there are essentially no general-purpose modeling capabilities that facilitate the incorporation of thermodynamic, kinetic, and transport complexities into the simulation of electrochemical processes. A vast majority of the modeling literature uses only a few (often only one) global charge-transfer reactions, with the rates expressed using Butler–Volmer approximations. The objective of the present paper is to identify common aspects of electrochemistry, seeking a foundational basis for designing and implementing software with general applicability across a wide range of materials sets and applications. The development of new technologies should be accelerated and improved by enabling the incorporation of electrochemical complexity (e.g., multi-step, elementary charge-transfer reactions and as well as supporting ionic and electronic transport) into the analysis and interpretation of scientific results. The spirit of the approach is analogous to the role that Chemkin has played in homogeneous chemistry modeling, especially combustion. The Cantera software, which already has some electrochemistry capabilities, forms the foundation for future capabilities expansion.
We present an electrochemical model of a lithium iron phosphate/graphite (LFP/C6) cell that includes combined aging mechanisms: (i) Electrochemical formation of the solid electrolyte interphase (SEI) at the anode, leading to loss of lithium inventory, (ii) breaking of the SEI due to volume changes of the graphite particles, causing accelerated SEI growth, and (iii) loss of active material due to of loss percolation of the liquid electrolyte resulting from electrode dry-out. The latter requires the introduction of an activity-saturation relationship. A time-upscaling methodology is developed that allows to simulate large time spans (thousands of operating hours). The combined modeling and simulation framework is able to predict calendaric and cyclic aging up to the end of life of the battery cells. The aging parameters are adjusted to match literature calendaric and cyclic aging experiments, resulting in quantitative agreement of simulated nonlinear capacity loss with experimental data. The model predicts and provides an interpretation for the dependence of capacity loss on temperature, cycling depth, and average SOC. The introduction of a percolation threshold in the activity-saturation relationship allows to capture the strong nonlinearity of aging toward end of life (“sudden death”).
Die Heterogenität der Studienanfänger/innen erleben viele Lehrende unmittelbar in den Anfängerveranstaltungen, Heterogenität nicht nur in Bezug auf fachliche Vorbildung, sondern auch bezüglich verfügbaren Lernstrategien, Fertigkeiten, Motivation und
Selbstdisziplin. Schon allein einer 90-minütigen Vorlesung konzentriert zu folgen und die
Ergebnisse strukturiert zu sichern, ist für viele eine sehr große Herausforderung. In diesem Erfahrungsbericht wird das seit dem WS 2015/16
an der Hochschule Offenburg erprobte Potenzial moderner Tablets untersucht, Vorteile
von klassischem handschriftlichen An- und Mitschreiben mit einer Vorstruktur, wie sie
z.B. PPT-Slides ermöglichen, zu vereinen.
Autonome Systeme im Consumerbereich - Was bedeutet die Autonomie technischer Systeme für den Kunden
(2018)
With the need for automatic control based supervisory controllers for complex energy systems, comes the need for reduced order system models representing not only the non-linear behaviour of the components but also certain unknown process dynamics like their internal control logic. At the Institute of Energy Systems Technology in Offenburg we have built a real-life microscale trigeneration plant and present in this paper a rational modelling procedure that satisfies the necessary characteristics for models to be applied in model predictive control for grid-reactive optimal scheduling of this complex energy system. These models are validated against experimental data and the efficacy of the methodology is discussed. Their application in the future for the optimal scheduling problem is also briefly motivated.
Der Spion im Klassenzimmer
(2018)
Bildung statt Profilbildung
(2018)
Wissenschaftler des Institute for Trade and Innovation (IfTI) an der Hochschule Offenburg haben kürzlich Benchmarking-Analysen staatlicher Exportfinanzierungsinstrumente insbesondere in OECD-Ländern durchgeführt. In zwei Forschungsprojekten mit Fokus auf Dänemark und Norwegen wurde hierfür ein wertschöpfungsorientiertes Bewertungsmodell erarbeitet. Damit kann nun auf Basis von wissenschaftlich anerkannten Analyseverfahren gemessen werden, wie erfolgreich die staatliche Exportfinanzierung im Vergleich mit anderen Ländern ist.
Der Beitrag befasst sich mit den Besonderheiten neuer Nutzungsarten bei der Einräumung von urheberrechtlichen Nutzungsrechten. Er legt außerdem einen Schwerpunkt auf die tatsächlichen Herausforderungen bei der Verhandlung solcher Rechtseinräumungen mit Unternehmen der Tech-Branche, die bei neuen Geschäftsmodellen oft über einen Wissensvorsprung verfügen.
Zum Handbuch der Musikwirtschaft: "In dem Standardwerk der Musikbranche geben 80 namhafte Autoren einen umfassenden Überblick über sämtliche Bereiche der deutschen Musikwirtschaft und ihrer Marktteilnehmer sowie über branchenspezifische Rechtsfragen und Vertragstypen. Unentbehrlich für alle, die im Musikbusiness tätig sind oder sich für diese Branche interessieren."
Diese Bachelorarbeit analysiert die Indie- bzw. Computer- und Videospielbranche genauer und beleuchtet markante Unterschied zwischen klassischen Entwicklerstudios und Indie-Entwicklern. Diese Merkmale fließen in eine PR-Kampagnenerstellung, welche auf die Bedürfnisse und Ausgangssituation von Indie-Entwicklern angepasst ist. Die Arbeit bietet dabei einen weitläufigen Überblick über die Computer- und Videospielbranche, die eigentliche Kampagnenerstellung mit einem Schwerpunkt auf die Umsetzung sowie zukünftige Trends und Herausforderungen für PR-Verantwortliche in diesem Bereich. Dazu zeigen Beispiel aus der Zusammenarbeit mit dem Indie-Entwickler EnterTalement, die praktische Anwendung
Solar irradiance prediction is vital for the power management and the cost reduction when integrating solar energy. The study is towards a ground image based solar irradiance prediction which is highly dependent on the cloud coverage. The sky images are collected by using ground based sky imager (fisheye lens). In this work, different algorithms for cloud detection being a preparation step for their segmentation are compared.
The fisheye camera has been widely studied in the field of ground based sky imagery and robot vision since it can capture a wide view of the scene at one time. However, serious image distortion is a major drawback hindering its wider use. To remedy this, this paperproposes a lens calibration and distortion correction method for detecting clouds and forecasting solar radiation. Finally, the radial distortion of the fisheye image can be corrected by incorporating the estimated calibration parameters. Experimental results validate the effectiveness of the proposed method.
This paper deals with the detection and segmentation of clouds on high-dynamic-range (HDR) images of the sky as well as the calculation of the position of the sun at any time of the year. In order to predict the movement of clouds and the radiation of the sun for a short period of time, the clouds thickness and position have to be known as precisely as possible. Consequently, the segmentation algorithm has to provide satisfactory results regardless of different weather, illumination and climatic conditions. The principle of the segmentation is based on the classification of each pixel as a cloud or as a sky. This classification is usually based on threshold methods, since these are relatively fast to implement and show a low computational burden. In order to predict if and when the sun will be covered by clouds, the position of the sun on the images has to be determined. For this purpose, the zenith and azimuth angles of the sun are determined and converted into XY coordinates.
BGH "Mehrere Werbekanäle"
(2018)
LG München I "Lieferfrist"
(2018)
LG Frankfurt/M. "Hooligan"
(2018)
Design of a Programmable Passive SoC for Biomedical Applications Using RFID ISO 15693/NFC5 Interface
(2018)
Low power, low cost inductively powered passive biotelemetry system involving fully customized RFID/NFC interface base SoC has gained popularity in the last decades. However, most of the SoCs developed are application specific and lacks either on-chip computational or sensor readout capability. In this paper, we present design details of a programmable passive SoC in compliance with ISO 15693/NFC5 standard for biomedical applications. The integrated system consists of a 32-bit microcontroller, a sensor readout circuit, a 12-bit SAR type ADC, 16 kB RAM, 16 kB ROM and other digital peripherals. The design is implemented in a 0.18 µm CMOS technology and used a die area of 1.52 mm × 3.24 mm. The simulated maximum power consumption of the analog block is 592 µW. The number of external components required by the SoC is limited to an external memory device, sensors, antenna and some passive components. The external memory device contains the application specific firmware. Based on the application, the firmware can be modified accordingly. The SoC design is suitable for medical implants to measure physiological parameters like temperature, pressure or ECG. As an application example, the authors have proposed a bioimplant to measure arterial blood pressure for patients suffering from Peripheral Artery Disease (PAD).
A printed electronics technology has the advantage of additive and extremely low-cost fabrication compared with the conventional silicon technology. Specifically, printed electrolyte-gated field-effect transistors (EGFETs) are attractive for low-cost applications in the Internet-of-Things domain as they can operate at low supply voltages. In this paper, we propose an empirical dc model for EGFETs, which can describe the behavior of the EGFETs smoothly and accurately over all regimes. The proposed model, built by extending the Enz-Krummenacher-Vittoz model, can also be used to model process variations, which was not possible previously due to fixed parameters for near threshold regime. It offers a single model for all the operating regions of the transistors with only one equation for the drain current. Additionally, it models the transistors with a less number of parameters but higher accuracy compared with existing techniques. Measurement results from several fabricated EGFETs confirm that the proposed model can predict the I-V more accurately compared with the state-of-the-art models in all operating regions. Additionally, the measurements on the frequency of a fabricated ring oscillator are only 4.7% different from the simulation results based on the proposed model using values for the switching capacitances extracted from measurement data, which shows more than 2× improvement compared with the state-of-the-art model.
Oxide semiconductors are highly promising candidates for the most awaited, next-generation electronics, namely, printed electronics. As a fabrication route for the solution-processed/printed oxide semiconductors, photonic curing is becoming increasingly popular, as compared to the conventional thermal curing method; the former offers numerous advantages over the latter, such as low process temperatures and short exposure time and thereby, high throughput compatibility. Here, using dissimilar photonic curing concepts (UV–visible light and UV-laser), we demonstrate facile fabrication of high performance In2O3 field-effect transistors (FETs). Beside the processing related issues (temperature, time etc.), the other known limitation of oxide electronics is the lack of high performance p-type semiconductors, which can be bypassed using unipolar logics from high mobility n-type semiconductors alone. Interestingly, here we have found that our chosen distinct photonic curing methods can offer a large variation in threshold voltage, when they are fabricated from the same precursor ink. Consequently, both depletion and enhancement-mode devices have been achieved which can be used as the pull-up and pull-down transistors in unipolar inverters. The present device fabrication recipe demonstrates fast processing of low operation voltage, high performance FETs with large threshold voltage tunability.
An Ultra-Low-Power RFID/NFC Frontend IC Using 0.18 μm CMOS Technology for Passive Tag Applications
(2018)
Battery-less passive sensor tags based on RFID or NFC technology have achieved much popularity in recent times. Passive tags are widely used for various applications like inventory control or in biotelemetry. In this paper, we present a new RFID/NFC frontend IC (integrated circuit) for 13.56 MHz passive tag applications. The design of the frontend IC is compatible with the standard ISO 15693/NFC 5. The paper discusses the analog design part in details with a brief overview of the digital interface and some of the critical measured parameters. A novel approach is adopted for the demodulator design, to demodulate the 10% ASK (amplitude shift keying) signal. The demodulator circuit consists of a comparator designed with a preset offset voltage. The comparator circuit design is discussed in detail. The power consumption of the bandgap reference circuit is used as the load for the envelope detection of the ASK modulated signal. The sub-threshold operation and low-supply-voltage are used extensively in the analog design—to keep the power consumption low. The IC was fabricated using 0.18 μm CMOS technology in a die area of 1.5 mm × 1.5 mm and an effective area of 0.7 mm2. The minimum supply voltage desired is 1.2 V, for which the total power consumption is 107 μW. The analog part of the design consumes only 36 μW, which is low in comparison to other contemporary passive tags ICs. Eventually, a passive tag is developed using the frontend IC, a microcontroller, a temperature and a pressure sensor. A smart NFC device is used to readout the sensor data from the tag employing an Android-based application software. The measurement results demonstrate the full passive operational capability. The IC is suitable for low-power and low-cost industrial or biomedical battery-less sensor applications. A figure-of-merit (FOM) is proposed in this paper which is taken as a reference for comparison with other related state-of-the-art researches.
Various methods of Digital Manufacturing (DM) have been available for the manufacturing of physical architectural models for several years. This paper highlights the advantages of 3D printing for digital manufacturing of detailed architectural models. In particular, the representation of architectural details and textures is treated. Furthermore, two new methods are being developed in order to improve the conditions for the application of digital manufacturing of architectural models.
Besides of conventional CAD systems, new, cloudbased CAD systems have also been available for some years. These CAD systems designed according to the principle of software as a service (SaaS) differ in some important features from the conventional CAD systems. Thus, these CAD systems are operated via a browser and it is not necessary to install the software on a computer. The CAD-data is stored in the cloud and not on a local computer or central server. This new approach should also facilitate the sharing and management of data. Finally, many of these new CAD systems are available as freeware for education purposes, so the universities can save license costs. The chances and risks of cloud-based systems will first be analyzed in this paper. Then two leading cloud-based CAD systems will be researched. During the process, the technical performance range these new systems offer for the product development will be initially checked and reviewed. For this purpose, various criteria are worked out and the CAD software is evaluated using these criteria. In addition, the criteria are weighted by their importance for design education. This allows one to conclude which capabilities the different CAD system offers for use in education.
Printed Electronics (PE) is a promising technology that provides mechanical flexibility and low-cost fabrication. These features make PE the key enabler for emerging applications, such as smart sensors, wearables, and Internet of Things (IoTs). Since these applications need secure communication and/or authentication, it is vital to utilize security primitives for cryptographic key and identification. Physical Unclonable Functions (PUF) have been adopted widely to provide the secure keys. In this work, we present a weak PUF based on Electrolyte-gated FETs using inorganic inkjet printed electronics. A comprehensive analysis framework including Monte Carlo simulations based on real device measurements is developed to evaluate the proposed PE-PUF. Moreover, a multi-bit PE-PUF design is proposed to optimize area usage. The analysis results show that the PE-PUF has ideal uniqueness, good reliability, and can operates at low voltage which is critical for low-power PE applications. In addition, the proposed multi-bit PE-PUF reduces the area usage around 30%.
Printed electronics offers certain technological advantages over its silicon based counterparts, such as mechanical flexibility, low process temperatures, maskless and additive manufacturing process, leading to extremely low cost manufacturing. However, to be exploited in applications such as smart sensors, Internet of Things and wearables, it is essential that the printed devices operate at low supply voltages. Electrolyte gated field effect transistors (EGFETs) using solution-processed inorganic materials which are fully printed using inkjet printers at low temperatures are very promising candidates to provide such solutions. In this paper, we discuss the technology, process, modeling, fabrication, and design aspect of circuits based on EGFETs. We show how the measurements performed in the lab can accurately be modeled in order to be integrated in the design automation tool flow in the form of a Process Design Kit (PDK). We also review some of the remaining challenges in this technology and discuss our future directions to address them.
Human-robot collaboration plays a strong role in industrial production processes. The ISO/TS 15066 defines four different methods of collaboration between humans and robots. So far, there was no robotic system available that incorporates all four collaboration methods at once. Especially for the speed and separation monitoring, there was no sensor system available that can easily be attached directly to an off-the-shelf industrial robot arm and that is capable of detecting obstacles in distances from a few millimeters up to five meters. This paper presented first results of using a 3D time-of-flight camera directly on an industrial robot arm for obstacle detection in human-robot collaboration. We attached a Visionary-T camera from SICK to the flange of a KUKA LBR iiwa 7 R800. With Matlab, we evaluated the pictures and found that it works very well for detecting obstacles in a distance range starting from 0.5 m and up to 5 m.
Im Rahmen der Konstruktionsausbildung an der Hochschule Offenburg wird die Lehre im Fach Technische Dokumentation fortlaufend optimiert. In der vorliegenden Laborstudie wurde das visuelle Wahrnehmen von 34 Maschinenbaustudierenden (2w + 32m) im Alter von 19 bis 29 Jahren mithilfe der Eye-Tracking-Technik und einer Videokamera bei der Analyse einer Baugruppenzeichnung beobachtet.
Dieser Beitrag stellt die Möglichkeiten des 3D-Druckes unter der Berücksichtigung von Mensch-Roboter-Kollaborations-Anforderungen dar. Dabei werden die Vorteile mit besonderem Fokus auf die zusätzliche Gestaltungsfreiheit erläutert. Anhand von Beispielen wird der Stand der Technik bereits eingesetzter Sensorik sowie deren Notwendigkeit in Greifsystemen erläutert. Im weiteren Verlauf dieses Beitrags werden allgemeine Verfahren für die additive Verarbeitung von leitfähigen Materialien vorgestellt. Daran angeknüpft sind Beispiele speziell zur 3D-gedruckten Sensorik. Abgerundet wird der Beitrag mit einem Ausblick bezüglich 3D-gedruckter Sensorik in MRK-Greifsystemen.
A Validated Quantification of Sudan Red Dyes in Spicery using TLC and a 16-bit Flatbed Scanner
(2018)
We present a video-densitometric quantification method for Sudan red dyes in spices and spice mixtures, separated by TLC. Application was done band-wise in small dots using a 5 μL glass pipette. For separation, the RP-18 plates (20 × 20 cm with fluorescent dye; Merck, Germany, 1.05559) were developed in a vertical developing chamber without vapor saturation from the starting point to a distance of 70 mm by using acetonitrile, methanol, and aqueous ammonia solution (25%; 8 + 1.8 + 0.2, v/v) as mobile phase. The quantification is based on direct measurements using an inexpensive 16-bit flatbed scanner for color measurements (in red, green, and blue). Evaluation of only the green channel makes the measurements very specific. For linearization, an extended Kubelka-Munk expression for data transformation was used. The range of linearity covers more than two magnitudes and lies between 20 and 500 ng. The extraction from a 2 g sample with acetonitrile, evaporation, and reconstitution to 200 μL with methanol and the band-wise application (7 mm) of a 10 μL sample allows a statistically defined LOD of less than 500 ppb of Sudan red dyes. To perform the analysis, a separation chamber, RP-18 plates, 5 μL glass pipettes, and a 16-bit flatbed scanner for 105 € are needed; therefore, the separation method is inexpensive, fast, and reliable.
We present a planar chromatographic separation method for the phytoestrogenic active compound equol, separated on RP-18 W (Merck, 1.14296) phase. It could be shown that an ethanolic cattle manure extract contains this phytoestrogenic active compound to a larger amount. As solvents for the mobile phase, hexane, ethyl acetate, and acetone (45:15:10, v/v); acetone and water (15:10, v/v); and n-hexane, CH2Cl2, ethyl acetate, methanol, and formic acid (40:40:20:5:1, v/v) have been used. After separation, a modified yeast estrogen screen (YES) test was applied, using the yeast strain Saccharomyces cerevisiae BJ3505 containing an estrogen receptor. Its activation by equol induces the reporter gene lacZ which encodes the enzyme β-galactosidase. The enzyme activity is measured directly on the TLC plate by using the substrate MUG (4-methylumbelliferyl-β-d-galactopyranoside) or the substrate X-β-Gal (5-bromo-4-chloro-3-indoxyl-β-d-galactopyranoside). β-Galactosidase cleaves MUG into a fluorescing compound. X-β- Gal is also hydrolyzed and then oxidized by oxygen forming the deep-blue dye 5,5′-dibromo-4,4′-dichloro-indigo. Both reactions in combination with a thin-layer chromatography (TLC) separation allow very specific detecting of equol in cattle manure, although that is a very challenging matrix. Preliminary results show that the average content of equol in liquid manure is roughly 60 μg g−1. The value for urine is 50 μg mL−1.
Wer sich mit der Fragestellung von Autonomie – verstanden im ursprünglichen Sinn von Selbständigkeit und Unabhängigkeit – im Zusammenhang mit Kreation und Gestaltung beschäftigt, merkt schnell, dass bei aller Modernität der heutigen Digitaltechniken ein uraltes Thema auftaucht: die grundsätzliche Abhängigkeit des schöpferischen Aktes von Technik und Material, von Handwerk und Produktionsbedingungen.
Data Science gilt als eine der wichtigsten Entwicklungen der letzten
Jahre und viele Unternehmen sehen in Data Science die Möglichkeit,
ihre Daten zusätzlich wertschöpfend zu nutzen. Dabei kann es sich um
die Optimierung von Maintenance-Prozessen handeln, um eine bessere
Steuerung der eigenen Preis- und Lagerhaltungsstrategie oder auch
um völlig neue Services und Produkte, die durch Data Science möglich
werden. Die im Unternehmen vorliegenden Daten, an die so hohe Erwartungen
geknüpft wurden, sollen dazu genutzt werden, um Services
und Prozesse effizienter und passgenauer gestalten zu können. Vielfach
gilt Data Science dabei als Allheilmittel: Daten, die über Jahre hinweg
gesammelt wurden und mit zunehmender Geschwindigkeit und Heterogenität
anfallen, sollen endlich nutzbar gemacht werden. Zwar sind die
eingesetzten Techniken und Algorithmen teilweise schon zehn Jahre und
mehr alt, doch erst jetzt entfalten sie im Zusammenspiel mit Big Data
ihr Potenzial im Unternehmensumfeld. Die Erwartungen sind hoch, doch
der Weg zu den neuen Erkenntnissen ist mit hohem Aufwand verbunden
und wird von einigen Unternehmen noch immer unterschätzt.
Für Unternehmen mit einem traditionellen BI-Ansatz stellt Data Science
ein ergänzendes Set von Methoden und Werkzeugen dar, mit deren Hilfe
die Informationsversorgung der Entscheider auf den verschiedenen
hierarchischen Ebenen noch besser gestaltet werden kann. So zum Beispiel,
wenn man mit Data Science feststellt, dass die Wahrscheinlichkeit
für einen Versicherungsabschluss steigt, wenn bei der Auswahl der
anzusprechenden Kunden zusätzliche Daten herangezogen werden, die
zwar bereits vorliegen, aber noch nicht berücksichtigt worden sind. Im
Extremfall werden auch Entscheidungen vollständig automatisiert, die
bisher von Mitarbeiterinnen und Mitarbeitern getroffen wurden. Ein Algorithmus
legt dann fest, wann Ware nachbestellt oder welcher Preis für
den Endkunden festgesetzt wird.
Im vorliegenden E-Book soll ein Überblick über das Gebiet Data Science
gegeben werden. Dabei wird ein besonderes Augenmerk auf das Zusammenspiel
sowie das Mit- und Nebeneinander von Data Science und vorhandenen
BI-Systemen gelegt.
In public transportation, the motor pool often consists of various different vehicles bought over a duration of many years. Sometimes, they even differ within one batch bought at the same time. This poses a considerable challenge in the storage and allocation of spare parts, especially in the event of damage to a vehicle. Correctly assigning these parts before the vehicle reaches the workshop could significantly reduce both the downtime and, therefore, the actual costs for companies. In order to achieve this, the current software uses a simple probability calculation. To improve the performance, the data of specific companies was analysed, preprocessed and used with several modelling techniques to classify and, therefore, predict the spare parts to be used in the event of a faulty vehicle. We summarize our experience running through the steps of the Cross Industry Standard Process for Data Mining and compare the performance to the previously used probability. Gradient Boosting Trees turned out to be the best modeling technique for this special case.
This paper describes the use of the single-linkage hierarchical clustering method in outlier detection for manufactured metal work pieces. The main goal of the study is to group defects that occur 5 mm into a work piece from the edge, i.e., the border of the metal work piece. The goal is to remove defects outside the area of interest as outliers. According to the assumptions made for the performance criteria, the single-linkage method has achieved better results compared to other agglomeration methods.
BGH "Preisportal"
(2018)
Die Frage nach der Erforderlichkeit der Benennung eines Datenschutzbeauftragten wird derzeit oft gestellt. Der Beitrag gibt anhand einer Checkliste Leitlinien zu ihrer Beantwortung. Diese richtet sich seit dem 25.5.2018 bei nicht-öffentlichen Stellen (namentlich Unternehmen, aber auch Vereinen) nach Art. 37 DSGVO und § 38 BDSG n.F.
Die Frage nach der Erforderlichkeit der Benennung eines Datenschutzbeauftragten wird derzeit oft gestellt. Der Beitrag gibt anhand einer Checkliste Leitlinien zu ihrer Beantwortung. Diese richtet sich seit dem 25.5.2018 bei nicht-öffentlichen Stellen (namentlich Unternehmen, aber auch Vereinen) nach Art. 37 DSGVO und § 38 BDSG n.F.
Die digitale Transformation als Vernetzung von Menschen, Organisationen, Maschinen, bis hin zu simplen Gegenständen des täglichen Lebens hat mehr oder weniger starke Auswirkungen auf alle Lebensbereiche. Künstliche Intelligenz und autonome technische Systeme haben direkte Auswirkungen auf die Autonomie des Einzelnen, was neue Fragen für Wissenschaft und Praxis aufwirft. In unterschiedlichen Beiträgen werden Autonomiegewinne und -verluste skizziert, die sich unter anderem im Bereich des Rechts, der Informations- und Kommunikationstechnologien, in Kunst und Gestaltung, bei Kundenbeziehungen, Kryptowährungen, Medieninhalten sowie im digitalen Arbeitsalltag feststellen lassen. Kritische Entwicklungen wie digitale Sorglosigkeit und Tools und Verfahren wie Projektmanagementsoftware oder predictive analytics gilt es dabei zu bewerten. Damit liefert dieser Band einen Überblick zum aktuellen Stand der Diskussion, zeigt Zusammenhänge auf und sensibilisiert für die Gestaltung des digitalen Wandels.
Die traditionellen Geschäftsmodelle der Medienbranche beruhen auf der Werbevermarktung von Spots, Anzeigen und Beilagen und teilweise einem direkten Erlösmodell für journalistische Inhalte durch Subscriber-Modelle/Abonnement bzw. Einzelverkaufserlöse. Diese Geschäftsmodelle verändern sich im Rahmen der digitalen Transformation und der damit verbundenen Medienkonvergenz zugunsten neuer nicht-journalistischer digitaler Geschäftsmodelle. Entscheidend ist eine Analyse der kompletten Geschäftsmodelle vor allem im Hinblick auf die Zielgruppen und den Nutzen der neuen Produkte, bevor der Teilaspekt der unterschiedlichen Erlösmodelle für crossmediale Medien aus der Perspektive der Medienunternehmen geklärt werden kann.
Mediaplanung
(2018)
Freiwillige Fachtutorien erreichen aus unterschiedlichen Gründen nicht alle Studierenden. Allein der subjektive Eindruck, dass zu wenige Ressourcen seitens der Hochschule (Übungsräume, studentische Tutoren, lückenlose Stundenplanpassung) oder der Studierenden (Zeit, Motivation) zur Verfügung stünden, führt zu Absenzen bei freiwilligen Präsenztutorien. Um die empfundenen und realen Begrenzungen dieser Veranstaltungen zu verringern, wurden für den Studiengang Maschinenbau die Musterlösungen der Übungsaufgaben Physik und Mathematik in Form von Videoclips erstellt und über die Lernplattform Moodle für alle Studierende des Semesters bereitgestellt. Die Clips beziehen sich jeweils auf eine Teilaufgabe und besitzen die Länge eines typischen Youtube-Tutorials. In etwa 5 Minuten bieten sie dem Zuschauer einen Lösungsweg zu den jeweiligen Übungsaufgaben. Die Studierenden können die Clips alternativ oder ergänzend zur Präsenzveranstaltung nutzen. Bei der Erstellung der Clips wurde auf den Einsatz von Spezialeffekten wie Animationen etc. zugunsten einer effizienten Produktion verzichtet, so dass eine einzelne Lehrperson pro Stunde etwa 10 bis 20 Minuten Videoclips aufzeichnen kann. Die Auswertung der Zugriffszahlen auf die Clip-Dateien ermöglicht eine aufgabengenaue Ermittlung der aktiven Nutzer. Im Betrag wird eine vorläufige Auswertung der Teilnehmerzahl und der Korrelation zwischen Klausurergebnis und Nutzungsgrad präsentiert.
Deafblindness is a condition that limits communication capabilities primarily to the haptic channel. In the EU-funded project SUITCEYES we design a system which allows haptic and thermal communication via soft interfaces and textiles. Based on user needs and informed by disability studies, we combine elements from smart textiles, sensors, semantic technologies, image processing, face and object recognition, machine learning, affective computing, and gamification. In this work, we present the underlying concepts and the overall design vision of the resulting assistive smart wearable.
Wer sich mit Digitalisierungsbestrebungen an Schulen befasst, stellt fest, dass die Tragweite der intendierten Transformation von Bildungseinrichtungen zu automatisierten Lernfabriken durch Digitaltechnik nur von Wenigen realisiert wird. Viele Beteiligte (wollen) glauben, es ginge nur um eine bessere technische Ausstattung der Lehreinrichtungen zur Unterstützung der Lehrkräfte – und übersehen, dass mit Kybernetik und Behaviorismus zwei den Menschen determinierende Theorien eine Renaissance erleben. Vertreter dieser Disziplinen glauben daran, dass sowohl der einzelne Mensch wie ganze Gesellschaften oder Sozialgemeinschaften wie ein Maschinenpark programmiert und gesteuert werden könne. Dabei werden Lernprozesse zu Akten der systematischen Selbstentmündigung umdefiniert: die Zurichtung der Lernenden auf abfragbare Kompetenzen mit Hilfe von Algorithmen und Software.
Dieser Artikel gibt einen Überblick der Möglichkeiten kontextbewusster Systeme und erläutert, wie diese die Autonomie zugleich erweitern und begrenzen können. Anwendungsbeispiele wie autonomes Fahren, Rehabilitation, industrielle Arbeit und Robotik zeigen die technischen Möglichkeiten auf. Neben der Erkennung von räumlichen Details werden auch die Potenziale der Erkennung von Emotionen beschrieben. Dabei wird zugunsten der Allgemeinverständlichkeit auf eine tiefe technische Detaillierung verzichtet, zugleich aber auf die jeweils relevante Forschungsliteratur verweisen.
Targeting complex fractionated atrial electrocardiograms by automated algorithms during ablation of persistent atrial fibrillation has produced conflicting outcomes in previous electrophysiological studies and catheter ablation of atrial fibrillation and ventricular tachycardia. The aim of the investigation was to evaluate atrial and ventricular high frequency fractionated electrical signals with signal averaging technique.
Methods: Signal averaging electrocardigraphy allows high resolution ECG technique to eliminate interference noise signals in the recorded ECG. The algorithm use automatic ECG trigger function for signal averaged transthoracic, transesophageal and intra-cardiac ECG signals with novel LabVIEW software.
Results: The analysis in the time domain evaluated fractionated atrial signals at the end of the signal averaged P-wave and fractionated ventricular signals at the end of the QRS complex. We evaluated atrial flutter in the time domain with two-to-one atrioventricular conduction, 212.0 ± 4.1 ms atrial cycle length, 426.0 ± 8.2 ms ventricular cycle length, 58.2 ± 1.8 ms P-wave duration, 119.6 ± 6.4 ms PQ duration, 103.0 ± 2.4 ms QRS duration and 296.4 ± 6.8 ms QT duration. The analysis in the frequency domain evaluated high frequency fractionated atrial signals during the P-wave and high frequency fractionated ventricular signals during QRS complex.
Conclusions: Spectral analysis of signal averaging electrocardiography with novel LabVIEW software can be utilized to evaluate atrial and ventricular conduction delays in patients with atrial fibrillation and ventricular tachycardia. Complex fractionated atrial and ventricular electrocardiograms may be useful parameters to evaluate electrical cardiac bradycardia and tachycardia signals in atrial fibrillation and ventricular tachycardia ablation.
Cardiac resynchronization therapy (CRT) with hemodynamic optimized biventricular pacing is an established therapy for heart failure patients with sinus rhythm, reduced left ventricular ejection fraction and wide QRS complex. The aim of the study was to evaluate electrical right and left cardiac atrioventricular delay and left atrial delay in CRT responder and non-responder with sinus rhythm.
Methods: Heart failure patients with New York Heart Association class 3.0 ± 0.3, sinus rhythm and 27.7 ± 6.1% left ventricular ejection fraction were measured by surface ECG and transesophageal bipolar left atrial and left ventricular ECG before implantation of CRT devices. Electrical right cardiac atrioventricular delay was measured between onset of P wave and onset of QRS complex in the surface ECG, left cardiac atrioventricular delay between onset of left atrial signal and onset of left ventricular signal in the transesophageal ECG and left atrial delay between onset and offset of left atrial signal in the transesophageal ECG.
Results: Electrical atrioventricular and left atrial delay were 196.9 ± 38.7 ms right and 194.5 ± 44.9 ms left cardiac atrioventricular delay, and 47.7 ± 13.9 ms left atrial delay. There were positive correlation between right and left cardiac atrioventricular delay (r = 0.803 P < 0.001) and negative correlation between left atrial delay and left ventricular ejection fraction (r = −0.694 P = 0.026) with 67% CRT responder.
Conclusions: Transesophageal electrical left cardiac atrioventricular delay and left atrial delay may be useful preoperative atrial desynchronization parameters to improve CRT optimization.
Social robots are robots interacting with humans not only in collaborative settings, but also in personal settings like domestic services and healthcare. Some social robots simulate feelings (companions) while others just help lifting (assistants). However, they often incite both fascination and fear: what abilities should social robots have and what should remain exclusive to humans? We provide a historical background on the development of robots and related machines (1), discuss examples of social robots (2) and present an expert study on their desired future abilities and applications (3) conducted within the Forum of the European Active and Assisted Living Programme (AAL). The findings indicate that most technologies required for the social robots' emotion sensing are considered ready. For care robots, the experts approve health-related tasks like drawing blood while they prefer humans to do nursing tasks like washing. On a larger societal scale, the acceptance of social robots increases highly significantly with familiarity, making health robots and even military drones more acceptable than sex robots or child companion robots for childless couples. Accordingly, the acceptance of social robots seems to decrease with the level of face-to-face emotions involved.
In this article, we present a taxonomy in Robot-Assisted Training; a growing body of research in Human–Robot Interaction which focuses on how robotic agents and devices can be used to enhance user’s performance during a cognitive or physical training task. Robot-Assisted Training systems have been successfully deployed to enhance the effects of a training session in various contexts, i.e., rehabilitation systems, educational environments, vocational settings, etc. The proposed taxonomy suggests a set of categories and parameters that can be used to characterize such systems, considering the current research trends and needs for the design, development and evaluation of Robot-Assisted Training systems. To this end, we review recent works and applications in Robot-Assisted Training systems, as well as related taxonomies in Human–Robot Interaction. The goal is to identify and discuss open challenges, highlighting the different aspects of a Robot-Assisted Training system, considering both robot perception and behavior control.
Brand identification has the potential of shaping individuals' attitudes, performance and commitment within learning and work contexts. We explore these effects, by incorporating elements of branded identification within gamified environments. We report a study with 44 employees, in which task performance and emotional outcomes are assessed in a real-world assembly scenario - namely, while performing a soldering task. Our results indicate that brand identification has a direct impact on individuals' attitude towards the task at hand: while instigating positive emotions, aversion and reactance also arise.