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- tensile membrane structure, lightweight structure, parametric design, visual programming, interoperability, BIM, IFC, RF-COM, Grasshopper3D, Rhinoceros, Revit, Allplan (1)
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Institute
- Fakultät Architektur und Gestaltung (41)
- Fakultät Bauingenieurwesen (105)
- Fakultät Elektrotechnik und Informationstechnik (34)
- Fakultät Informatik (121)
- Fakultät Maschinenbau (60)
- Fakultät Wirtschafts-, Kultur- und Rechtswissenschaften (106)
- Institut für Angewandte Forschung - IAF (115)
- Institut für Naturwissenschaften und Mathematik - INM (3)
- Institut für Optische Systeme - IOS (40)
- Institut für Strategische Innovation und Technologiemanagement - IST (60)
Sleep is essential to existence, much like air, water, and food, as we spend nearly one-third of our time sleeping. Poor sleep quality or disturbed sleep causes daytime solemnity, which worsens daytime activities' mental and physical qualities and raises the risk of accidents. With advancements in sensor and communication technology, sleep monitoring is moving out of specialized clinics and into our everyday homes. It is possible to extract data from traditional overnight polysomnographic recordings using more basic tools and straightforward techniques. Ballistocardiogram is an unobtrusive, non-invasive, simple, and low-cost technique for measuring cardiorespiratory parameters. In this work, we present a sensor board interface to facilitate the communication between force sensitive resistor sensor and an embedded system to provide a high-performing prototype with an efficient signal-to-noise ratio. We have utilized a multi-physical-layer approach to locate each layer on top of another, yet supporting a low-cost, compact design with easy deployment under the bed frame.
Zentrales Thema dieser Diplomarbeit ist die plattform- und anwendungsübergreifende elektronische Archivierung von Daten und Dokumenten unterschiedlichster Herkunft. Hierzu zählen neben der Einarbeitung in die Thematik, die Aufnahme und Strukturierung der Archivierungsanforderungen innerhalb des Unternehmens, sowie die darauf folgende Auswahl eines geeigneten Anbieters. Die angestrebte Archivierungslösung muss einerseits in der Lage sein sich in vorhandene Systeme zu integrieren (SAP R/3, Lotus Notes), andererseits wird ein applikationsunabhängiger Zugriff auf Daten und Dokumente erwartet. Zudem muss die Archivierungslösung die vorhandenen gesetzlichen Anforderungen erfüllen.
Design of tension components
(2017)
The paper gives an introduction as well as background information on proposed changes and amendments in EN 1993-1-11 “Design of structures with tension components”, implemented during the ongoing revision. Due to some deficits in the currently applicable standard this revision is not only limited to some restructuring and editorial changes, but includes also major technical changes in the following fields: safety concept and structural analysis, actions and loads, robustness and rep-arability, design of tension components and design of clamps and saddles.
Nowadays, the number of flexible and fast human to application system interactions is dramatically increasing. For instance, citizens interact with the help of the internet to organize surveys or meetings (in real-time) spontaneously. These interactions are supported by technologies and application systems such as free wireless networks, web -or mobile apps. Smart Cities aim at enabling their citizens to use these digital services, e.g., by providing enhanced networks and application infrastructures maintained by the public administration. However, looking beyond technology, there is still a significant lack of interaction and support between "normal" citizens and the public administration. For instance, democratic decision processes (e.g. how to allocate public disposable budgets) are often discussed by the public administration without citizen involvement. This paper introduces an approach, which describes the design of enhanced interactional web applications for Smart Cities based on dialogical logic process patterns. We demonstrate the approach with the help of a budgeting scenario as well as a summary and outlook on further research.
A significant proportion of road traffic accidents are due to inattentiveness or fatigue at the wheel. Approaches to monitoring the driver's condition range from eye tracking and driving behavior analysis to yawn and blink detection and ECG measurement. This work describes the development of a mobile system for the measurement and processing of ECG data. The aim of the signal processing is to quantify the driver’s fatigue with the heartrate variability (HRV). The work includes the hardware and software design of the sensor. First, the development of low-noise electronics including AD conversion is described. Then the software signal processing with QRS complex detection and plotting front end is explained. The resulting sensor is compact, low-cost and provides a good signal for HRV extraction.
Normal breathing during sleep is essential for people’s health and well-being. Therefore, it is crucial to diagnose apnoea events at an early stage and apply appropriate therapy. Detection of sleep apnoea is a central goal of the system design described in this article. To develop a correctly functioning system, it is first necessary to define the requirements outlined in this manuscript clearly. Furthermore, the selection of appropriate technology for the measurement of respiration is of great importance. Therefore, after performing initial literature research, we have analysed in detail three different methods and made a selection of a proper one according to determined requirements. After considering all the advantages and disadvantages of the three approaches, we decided to use the impedance measurement-based one. As a next step, an initial conceptual design of the algorithm for detecting apnoea events was created. As a result, we developed an activity diagram on which the main system components and data flows are visually represented.
Atom interferometers have a multitude of proposed applications in space including precise measurements of the Earth's gravitational field, in navigation & ranging, and in fundamental physics such as tests of the weak equivalence principle (WEP) and gravitational wave detection. While atom interferometers are realized routinely in ground-based laboratories, current efforts aim at the development of a space compatible design optimized with respect to dimensions, weight, power consumption, mechanical robustness and radiation hardness. In this paper, we present a design of a high-sensitivity differential dual species 85Rb/87Rb atom interferometer for space, including physics package, laser system, electronics and software. The physics package comprises the atom source consisting of dispensers and a 2D magneto-optical trap (MOT), the science chamber with a 3D-MOT, a magnetic trap based on an atom chip and an optical dipole trap (ODT) used for Bose-Einstein condensate (BEC) creation and interferometry, the detection unit, the vacuum system for 10-11 mbar ultra-high vacuum generation, and the high-suppression factor magnetic shielding as well as the thermal control system.
The laser system is based on a hybrid approach using fiber-based telecom components and high-power laser diode technology and includes all laser sources for 2D-MOT, 3D-MOT, ODT, interferometry and detection. Manipulation and switching of the laser beams is carried out on an optical bench using Zerodur bonding technology. The instrument consists of 9 units with an overall mass of 221 kg, an average power consumption of 608 W (819 W peak), and a volume of 470 liters which would well fit on a satellite to be launched with a Soyuz rocket, as system studies have shown.
The influence of sleep on human life, including physiological, psychological, and mental aspects, is remarkable. Therefore, it is essential to apply appropriate therapy in the case of sleep disorders. For this, however, the irregularities must first be recognised, preferably conveniently for the person concerned. This dissertation, structured as a composition of research articles, presents the development of mathematically based algorithmic principles for a sleep analysis system. The particular focus is on the classification of sleep stages with a minimal set of physiological parameters. In addition, the aspects of using the sleep analysis system as part of the more complex healthcare systems are explored. Design of hardware for non-obtrusive measurement of relevant physiological parameters and the use of such systems to detect other sleep disorders, such as sleep apnoea, are also referred to. Multinomial logistic regression was selected as the basis for development resulting from the investigations carried out. By following a methodical procedure, the number of physiological parameters necessary for the classification of sleep stages was successively reduced to two: Respiratory and Movement signals. These signals might be measured in a contactless way. A prototype implementation of the developed algorithms was performed to validate the proposed method, and the evaluation of 19324 sleep epochs was carried out. The results, with the achieved accuracy of 73% in the classification of Wake/NREM/REM stages and Cohen's kappa of 0.44, outperform the state of the art and demonstrate the appropriateness of the selected approach. In the future, this method could enable convenient, cost-effective, and accurate sleep analysis, leading to the detection of sleep disorders at an early stage so that therapy can be initiated as soon as possible, thus improving the general population's health status and quality of life.
Lidar sensors are widely used for environmental perception on autonomous robot vehicles (ARV). The field of view (FOV) of Lidar sensors can be reshaped by positioning plane mirrors in their vicinity. Mirror setups can especially improve the FOV for ground detection of ARVs with 2D-Lidar sensors. This paper presents an overview of several geometric designs and their strengths for certain vehicle types. Additionally, a new and easy-to-implement calibration procedure for setups of 2D-Lidar sensors with mirrors is presented to determine precise mirror orientations and positions, using a single flat calibration object with a pre-aligned simple fiducial marker. Measurement data from a prototype vehicle with a 2D-Lidar with a 2 m range using this new calibration procedure are presented. We show that the calibrated mirror orientations are accurate to less than 0.6° in this short range, which is a significant improvement over the orientation angles taken directly from the CAD. The accuracy of the point cloud data improved, and no significant decrease in distance noise was introduced. We deduced general guidelines for successful calibration setups using our method. In conclusion, a 2D-Lidar sensor and two plane mirrors calibrated with this method are a cost-effective and accurate way for robot engineers to improve the environmental perception of ARVs.
Der Wandel des Einzelhandels
(2023)
Die Ursachen der existentiellen Bedrohung vieler Einzelhandelsunternehmen sind nicht nur auf die Nachwirkungen der Coronapandemie und den Ukraine-Krieg mit der daraus resultierenden Inflation und Kaufzurückhaltung zurückzuführen. Auch die Digitalisierung und die wachsende Onlinekonkurrenz sowie ein verändertes Einkaufs- und Konsumverhalten der Kund:innen setzt den Einzelhandel unter Druck. Dabei scheint besonders die junge Generation Z, die mit dem Internet, sozialen Medien und digitalen Anwendungen aufgewachsen ist, nicht mehr den traditionellen Konsummustern zu entsprechen, und erwartet eine Ausrichtung des Einzelhandels an ihre Bedürfnisse. Doch wie ticken junge Konsument:innen und wie unterscheiden sich ihre Erwartungen an den Handel von älteren Generationen? Im Beitrag werden Antworten auf diese Fragen gegeben.
Der Süden
(2018)
Dieser Beitrag untersucht, inwiefern die Sapir-Whorf-Hypothese, die die Abhängigkeit des Denkens von der Sprache postuliert, einen Erklärungsansatz zur raumsemantischen Konstruktion des touristischen Südens liefern kann. Sie dient als Analyseraster in Verbindung mit empirischen Befunden zu den touristischen Imageprofilen von Sevilla und Buenos Aires, die als Fallbeispiele touristischer Städte des Südens gewählt wurden.
Viele kleine und mittlere Unternehmen haben kein eigenes Produktionssystem, jedoch wird die Notwendigkeit mit steigender Unternehmensgröße unerlässlich. Im Vordergrund stehen Ziele wie eine flache Hierarchieebene und schlanke Prozessketten. Ein Produktionssystem stellt weiterhin sicher, dass die Reaktionsfähigkeit und die Flexibilität eines Unternehmens von der Unternehmensgröße unabhängig sind. Global haben sich Systeme von Taylor und Toyota durchgesetzt. Jedoch genügt es nicht, eines der Systeme zu duplizieren, vielmehr kann die Philosophie eines bestehenden Systems dazu beitragen, um ein eigenes Produktionssystem maßgeschneidert zu entwickeln. Das Buch beschreibt die Schaffung eines schlanken Unternehmens in vier Schritten anhand der Toyotaphilosophie. Um das Ziel zu erreichen, genügt es nicht nur einzelne Prozessketten zu verschlanken, vielmehr beginnt der Leangedanke bereits in der Unternehmensphilosophie. In ihr werden die Werte, die ein Unternehmen pflegt, dargestellt. Erst wenn die grundsätzlichen Werte eines Unternehmens klar definiert sind, können Prozesse organisiert und standardisiert werden. Ein Schlüsselelement bei der Entwicklung des schlanken Unternehmens ist das Prozessdesign. Funktionierende Prozesse sorgen für eine reibungslose Fertigung von Produkten. Zudem müssen Prozesse sich ständig den ändernden Ansprüchen anpassen können. In einem nächsten Schritt muss das Partnernetzwerk aufgebaut werden. Zu den Partnern zählen interne Mitarbeitende sowie externe Lieferanten und Kunden. Die Herausforderung hierbei besteht in der Schaffung eines gemeinsamen Teams, das die gleichen Ziele verfolgt. Zum Schluss werden Methoden zur Problemlösung aufgezeigt. Das strukturierte Erkennen und Behandeln von Problemen führt letztendlich zur Behebung der Problemursache.
Diese Bachelorarbeit befasst sich mit einem Kooperationsprojekt in Botswana, welches durch Lehrende und Studierende der Hochschule für Technik Wirtschaft und Gestaltung in Konstanz und einigen Experten aus aller Welt umgesetzt werden soll. Außerdem geht sie der Frage nach, was der Unterschied vom klassischen zum hybriden Projektmanagement, welches hier angewendet wird ist und wie es möglich ist eine Supply-Chain für dieses Projekt zu erstellen.
Dieses Arbeitspapier behandelt den aktuellen Markt von Legal-Tech-Diensten in Deutschland und die rechtlichen Entwicklungen bezüglich der dort bestehenden Law-Tech-Branche. Ziel ist es dabei, anhand einer systematischen Analyse der beteiligten Marktkräfte, die Attraktivität der Legal-Tech-Branche einzuschätzen, um dem Leser dadurch eine Hilfestellung für die Strategiebildung innerhalb Law-Tech bezogener Unternehmen sowie Kanzleien zu bieten, denn die strategische Planung eines Unternehmens ist als Basis für den nachhaltigen Erfolg desselben unabdinglich.
Darüber hinaus zielt die Arbeit darauf ab, dem Leser einen Überblick über die rechtlichen Entwicklungen im Bereich von Legal-Tech sowie damit einhergehend ein Basiswissen über die Hintergründe der Gesetzgebung in Bezug auf die Law-Tech-Branche zu verschaffen.
Der Kundenservice von morgen
(2023)
Die digitale Selbstbedienung im Einzelhandel und anderen Dienstleistungsbereichen verändert die Konsumwelt. Self-Services werden zunehmend von Konsumenten aller Altersklassen genutzt. Der Handel muss seine Servicekanäle hinterfragen und vermehrt auf Self-Service als Kundenkontaktpunkt setzen. Andere Branchen haben diesbezüglich bereits Lösungen umgesetzt. Vor diesem Hintergrund analysiert der Beitrag die Nutzung von Self-Service-Lösungen in Abhängigkeit von der Generationen-Zugehörigkeit und gibt Handlungsempfehlungen für KMU aus dem Einzelhandel.
Nach zwei Weltkriegen und einer dazwischenliegenden tiefgreifenden Wirtschaftskrise, der viele Staaten durch einen verstärkten Protektionismus zu begegnen suchten, stieg nach der „Trümmerbeseitigung“ seit Beginn der 70er Jahren des vorigen Jahrhunderts die Intensität der wirtschaftlichen Beziehungen (zum Beispiel in Form von Außenhandel und/oder Auslands-investitionen) unter den Staaten/Ländern der Welt sprunghaft an. Das Zeitalter der Interna-tionalisierung - später entstand der zwar etwas irreführende, aber modisch klingende Begriff „Globalisierung“ - der Wirtschaft begann. Die international operierenden Unternehmen erkannten nun zunehmend, dass der Erfolg ihres Auslandsengagements zum Teil massiv gehemmt war durch die Tatsache, dass sie auf den ausländischen Märkten - gemeint sind hier nicht nur die Absatz-, sondern auch die Beschaff-ungs-, Kapital-, und Arbeitsmärkte - auf ihnen fremde Kulturen trafen. Sie erkannten, dass ein streng ethnozentrisches (=heimatlandorientiertes) Vorgehen zu Problemen führt, denn die Zei-ten der Kolonialisierung - auch dies war eine Art der Internationalisierung wirtschaftlicher Abläufe -, in denen man Widerstände schlicht mit Waffengewalt erstickte, waren vorbei. Dies führte dazu, dass neben anderen Wissenschaftsgebieten, die sich schon seit langer Zeit mit dem Thema der Unterschiede zwischen Kulturen beschäftigten (Historiker, Archäologen, Sprachwissenschaftler, Anthropologen, etc.), seit circa 30 Jahren auch die Wirtschaftswis-senschaftler (im Verbund mit den Soziologen) sich mit dieser Thematik befassen. Aus der Wechselwirkung zwischen diesen Arbeiten und den stetig zunehmenden Erfahrungen der Praxis im internationalen Geschäft (zum Beispiel im Land der ungeahnten Möglichkeiten China) wuchs eine breite Erkenntnis, dass für den Erfolg eines international operierenden Unternehmens ein Erfolgsfaktor von dominanter Bedeutung ist, nämlich die interkulturelle Kompetenz, das heißt das Wissen um die Andersartigkeit einer anderen Kultur und das Sich-darauf-Einstellen. Die rasant steigende Zahl von Publikationen, Vorlesungs-/Fortbildungs- und Veranstaltungsangeboten sowie entsprechender Anforderungshinweise in Stellenan-geboten zu dieser Thematik mag als Zeugnis hierfür dienen.
Der digitale Seilüberwacher
(2020)
There have been substantial research efforts for algorithms to improve continuous and automated assessment of various health-related questions in recent years. This paper addresses the deployment gap between those improving algorithms and their usability in care and mobile health applications. In practice, most algorithms require significant and founded technical knowledge to be deployed at home or support healthcare professionals. Therefore, the digital participation of persons in need of health care professionals lacks a usable interface to use the current technological advances. In this paper, we propose applying algorithms taken from research as web-based microservices following the common approach of a RESTful service to bridge the gap and make algorithms accessible to caregivers and patients without technical knowledge and extended hardware capabilities. We address implementation details, interpretation and realization of guidelines, and privacy concerns using our self-implemented example. Also, we address further usability guidelines and our approach to those.
The perception of the amount of stress is subjective to every person, and the perception of it changes depending on many factors. One of the factors that has an impact on perceived stress is the emotional state. In this work, we compare the emotional state of 40 German driving students and present different partitions that can be advantageous for using artificial intelligence and classification. Like this, we evaluate the data quality and prepare for the specific use. The Stress Perceived Questionnaire (PSQ20) was employed to assess the level of stress experienced by individuals while participating in a driving simulation for 5 and 25 min. As a result of our analysis, we present a categorisation of various emotional states into intervals, comparing different classifications and facilitating a more straightforward implementation of artificial intelligence for classification purposes.
Deep transformation models
(2021)
We present a deep transformation model for probabilistic regression. Deep learning is known for outstandingly accurate predictions on complex data but in regression tasks it is predominantly used to just predict a single number. This ignores the non-deterministic character of most tasks. Especially if crucial decisions are based on the predictions, like in medical applications, it is essential to quantify the prediction uncertainty. The presented deep learning transformation model estimates the whole conditional probability distribution, which is the most thorough way to capture uncertainty about the outcome. We combine ideas from a statistical transformation model (most likely transformation) with recent transformation models from deep learning (normalizing flows) to predict complex outcome distributions. The core of the method is a parameterized transformation function which can be trained with the usual maximum likelihood framework using gradient descent. The method can be combined with existing deep learning architectures. For small machine learning benchmark datasets, we report state of the art performance for most dataset and partly even outperform it. Our method works for complex input data, which we demonstrate by employing a CNN architecture on image data.
Deep Learning-based EEG Detection of Mental Alertness States from Drivers under Ethical Aspects
(2022)
One of the most critical factors for a successful road trip is a high degree of alertness while driving. Even a split second of inattention or sleepiness in a crucial moment, will make the difference between life and death. Several prestigious car manufacturers are currently pursuing the aim of automated drowsiness identification to resolve this problem. The path between neuro-scientific research in connection with artificial intelligence and the preservation of the dignity of human individual’s and its inviolability, is very narrow. The key contribution of this work is a system of data analysis for EEGs during a driving session, which draws on previous studies analyzing heart rate (ECG), brain waves (EEG), and eye function (EOG). The gathered data is hereby treated as sensitive as possible, taking ethical regulations into consideration. Obtaining evaluable signs of evolving exhaustion includes techniques that obtain sleeping stage frequencies, problematic are hereby the correlated interference’s in the signal. This research focuses on a processing chain for EEG band splitting that involves band-pass filtering, principal component analysis (PCA), independent component analysis (ICA) with automatic artefact severance, and fast fourier transformation (FFT). The classification is based on a step-by-step adaptive deep learning analysis that detects theta rhythms as a drowsiness predictor in the pre-processed data. It was possible to obtain an offline detection rate of 89% and an online detection rate of 73%. The method is linked to the simulated driving scenario for which it was developed. This leaves space for more optimization on laboratory methods and data collection during wakefulness-dependent operations.
In this paper we present a method using deep learning to compute parametrizations for B-spline curve approximation. Existing methods consider the computation of parametric values and a knot vector as separate problems. We propose to train interdependent deep neural networks to predict parametric values and knots. We show that it is possible to include B-spline curve approximation directly into the neural network architecture. The resulting parametrizations yield tight approximations and are able to outperform state-of-the-art methods.
Vortrag
Outcomes with a natural order commonly occur in prediction problems and often the available input data are a mixture of complex data like images and tabular predictors. Deep Learning (DL) models are state-of-the-art for image classification tasks but frequently treat ordinal outcomes as unordered and lack interpretability. In contrast, classical ordinal regression models consider the outcome’s order and yield interpretable predictor effects but are limited to tabular data. We present ordinal neural network transformation models (ontrams), which unite DL with classical ordinal regression approaches. ontrams are a special case of transformation models and trade off flexibility and interpretability by additively decomposing the transformation function into terms for image and tabular data using jointly trained neural networks. The performance of the most flexible ontram is by definition equivalent to a standard multi-class DL model trained with cross-entropy while being faster in training when facing ordinal outcomes. Lastly, we discuss how to interpret model components for both tabular and image data on two publicly available datasets.
Deep 3D
(2017)
The code-based McEliece cryptosystem is a promising candidate for post-quantum cryptography. The sender encodes a message, using a public scrambled generator matrix, and adds a random error vector. In this work, we consider q-ary codes and restrict the Lee weight of the added error symbols. This leads to an increased error correction capability and a larger work factor for information-set decoding attacks. In particular, we consider codes over an extension field and use the one-Lee error channel, which restricts the error values to Lee weight one. For this channel model, generalized concatenated codes can achieve high error correction capabilities. We discuss the decoding of those codes and the possible gain for decoding beyond the guaranteed error correction capability.
This paper proposes a pipelined decoder architecture for generalised concatenated (GC) codes. These codes are constructed from inner binary Bose-Chaudhuri-Hocquenghem (BCH) and outer Reed-Solomon codes. The decoding of the component codes is based on hard decision syndrome decoding algorithms. The concatenated code consists of several small BCH codes. This enables a hardware architecture where the decoding of the component codes is pipelined. A hardware implementation of a GC decoder is presented and the cell area, cycle counts as well as the timing constraints are investigated. The results are compared to a decoder for long BCH codes with similar error correction performance. In comparison, the pipelined GC decoder achieves a higher throughput and has lower area consumption.
Location-aware mobile devices are becoming increasingly popular and GPS sensors are built into nearly every portable unit with computational capabilities. At the same time, the emergence of location-aware virtual services and ideas calls for new efficient spatial real-time queries. Communication latency in mobile environments interacting with high decentralization and the need of scalability in high-density systems with immense client counts leads to major challenges. In this paper we describe a decentralized architecture for continuous range queries in settings in which both, the requested and the requesting clients, are mobile. While prior works commonly use a request-response approach we provide a stream-based adaptive grid solution dealing with arbitrary high client counts and improving communication latency that meets given hard real-time constraints.
Diese Arbeit befasst sich mit der Erstellung und Bearbeitung von Datenstrukturen, die für die Entwicklung von Software im Mobilfunksektor benötigt werden. Es wird aufgezeigt, wo diese Datenstrukturen auftauchen und welche Aufgaben ihnen zufallen. Am Beispiel der Texas Instruments Berlin AG wird eine mögliche Implementierung der für deren Handhabung eingesetzten Hilfsmittel im Detail betrachtet sowie auf die diesen innewohnenden Unzulänglichkeiten und Schwachstellen eingegangen. Zur Behebung und Umgehung der aufgezeigten Probleme werden verschiedene Ansätze analysiert und bewertet. Die hierzu benötigten und jeweils kurz vorgestellten Informationen über die Sprache XML und andere Techniken legen ferner oÿen, warum die letztendlich gewählte Vorgehensweise für die Neuimplementierung sinnvoll ist. Auf die für den reibungslosen Verlauf der Implementierungsphase erforderlichen Planungen wird ebenso wie auf die hierfür im Vorfeld notwendigen Überlegungen und Arbeiten eingegangen. Insbesondere wird auf die Erstellung mehrerer Prototyp-Versionen zur Erleichterung der Einarbeitung und zum besseren Verständnis der zu bearbeitenden Materie hingewiesen. Entwicklung und abschliessdes Aussehen einer Grammatik als Grundlage für ein auf XML basierendes Datenformat werden vorgestellt sowie die hierbei auftretenden Problematiken erörtert. Es wird dargestellt, wie die für die Arbeit mit dem neuen Format entworfene Benutzerschnittstelle funktioniert und wie das der dahinterstehenden Funktionalität zugrundeliegende Konzept aussieht. Die Umsetzung dieses Konzepts unter Einsatz der Programmiersprache Java und aufbauend auf der Eclipse-Plattform wird umfassend und im Detail erläutert. Begleitende Tests und Evaluierungen werden angesprochen sowie Probleme und Herausforderungen der Implementierungsphase. Es wird darauf eingegangen, wie die Planungen für den zukünftigen Einsatz und die weitere Entwicklung des Projekts unter dem Dach der Texas Instruments Berlin AG aussehen. Und es werden die aus der Durchführung des Projekts von den ersten Planungen bis hin zum vorläufigen Abschluss der Implementierungsphase und der Vorstellung eines funktionierenden Systems gewonnenen Schlüsse und Erfahrungen präsentiert und ausgewertet.
Flash-Speicher wurden ursprünglich als Speichermedium für Digitalkameras entwickelt, finden inzwischen aber in vielen Bereichen Anwendung.
Die in Konstanz ansässige Firma Hyperstone GmbH ist ein führender Anbieter von Flashcontrollern für Anwendungen mit erhöhten Anforderungen an Zuverlässigkeit und Datenintegrität. Bereits seit April 2011 kooperiert die Firma Hyperstone mit der HTWG Konstanz bei der Entwicklung von Fehlerkorrekturverfahren für einen zuverlässigen Einsatz von Flash-Speichern. Aufgrund der rasanten Entwicklung bei Flashspeicherbausteinen ist auch eine stetige Weiterentwicklung der Korrekturverfahren notwendig. Im Rahmen dieser Kooperation wurde inzwischen zwei Flashcontroller mit sehr leistungsfähiger Fehlerkorrektur entwickelt. Der folgende Artikel gibt Einblick in den Einsatz von Flash-Speichern und erläutert die Notwendigkeit für eine leistungsfähige Fehlerkorrektur.
Digital federated platforms and data cooperatives for secure, trusted and sovereign data exchange will play a central role in the construction industry of the future. With the help of platforms, cooperatives and their novel value creation, the digital transformation and the degree of organization of the construction value chain can be taken to a new level of collaboration. The goal of this research project was to develop an experimental prototype for a federated innovation data platform along with a suitable exemplary use case. The prototype is to serve the construction industry as a demonstrator for further developments and form the basis for an innovation platform. It exemplifies how an overall concept is concretely implemented along one or more use cases that address high-priority industry pain points. This concept will create a blueprint and a framework for further developments, which will then be further established in the market. The research project illuminates the perspective of various governance innovations to increase industry collaboration, productivity and capital project performance and transparency as well as the overall potential of possible platform business models. However, a comprehensive expert survey revealed that there are considerable obstacles to trust-based data exchange between the key stakeholders in the industry value network. The obstacles to cooperation are predominantly not of a technical nature but rather of a competitive, predominantly trust-related nature. To overcome these obstacles and create a pre-competitive space of trust, the authors therefore propose the governance structure of a data cooperative model, which is discussed in detail in this paper.
Unintrusive health monitoring systems is important when continuous monitoring of the patient vital signals is required. In this paper, signals obtained from accelerometers placed under a bed are processed with ballistocardiography algorithms and compared with synchronized electrocardiographic signals.
Der hybride Baublock behauptet sich in Deutschland nach wie vor als erfolgreichster und beliebig kopierbarer Stadtbaustein der städtebaulichen Wettbewerbe, so der Autor in einer Analyse wichtiger Entscheidungen der letzten drei Jahre. Allerdings steht das Wohnhochhaus vor einem erstaunlichen Comeback.
Das WITg wird digitaler
(2019)