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Design and Development of a Novel Self-Igniting Microwave Plasma Jet for Industrial Applications
(2019)
Design and Development of a Hot S-Parameter Measurement System for Plasma and Magnetron Applications
(2020)
This paper presents the design, development and calibration procedures of a novel hot S-parameter measurement system for plasma and magnetron applications with power level up to 6 kW. Based on a vector network analyzer, a power amplifier and two directional couplers, the input matching hotS 11 and transmission hotS 21 of the device under test are measured at 2.45 GHz center frequency and 300MHz bandwidth, while the device is driven by the magnetron. This measurement system opens a new horizon to develop many new industrial applications such as microwave plasma jets, dryer systems, dryers and so forth. Furthermore, the developing, controlling and monitoring a 2kW 2.45GHz plasma jet and a dryer system using the measurement system are presented and explained.
Purpose
To design and evaluate a four-channel cardiac transceiver coil array for functional cardiac imaging at 7T.
Materials and Methods
A four-element cardiac transceiver surface coil array was developed with two rectangular loops mounted on an anterior former and two rectangular loops on a posterior former. specific absorption rate (SAR) simulations were performed and a Burn:x-wiley:10531807:media:JMRI22451:tex2gif-stack-1 calibration method was applied prior to obtain 2D FLASH CINE (mSENSE, R = 2) images from nine healthy volunteers with a spatial resolution of up to 1 × 1 × 2.5 mm3.
Results
Tuning and matching was found to be better than 10 dB for all subjects. The decoupling (S21) was measured to be >18 dB between neighboring loops, >20 dB for opposite loops, and >30 dB for other loop combinations. SAR values were well within the limits provided by the IEC. Imaging provided clinically acceptable signal homogeneity with an excellent blood-myocardium contrast applying the Burn:x-wiley:10531807:media:JMRI22451:tex2gif-stack-2 calibration approach.
Conclusion
A four-channel cardiac transceiver coil array for 7T was built, allowing for cardiac imaging with clinically acceptable signal homogeneity and an excellent blood-myocardium contrast. Minor anatomic structures, such as pericardium, mitral, and tricuspid valves and their apparatus, as well as trabeculae, were accurately delineated.
Der Internally Commutated Thyristor (ICT) : ein neuartiger GCT mit integrierter Ausschalteinheit
(2007)
Der Helium-Neon-Laser
(2003)
Der CMS-Guide : Content-Management-Systeme: Erfolgsfaktoren, Geschäftsmodelle, Produktübersicht
(2001)
Der CMS-Guide
(2001)
Lohr, J. ; Deppe, A: Der CMS-Guide. Content Management-Systeme: Erfolgsfaktoren, Geschäftsmodelle, Produktübersicht. Stand: 3.9.2001 [Manuskript]. Braunschweig: Vieweg 2001. XVII, 253 S. ISBN 3-528-05768-8 [Aufl. vergriffen] Nach einer Einführung in die Grundlagen des Content Managements, in der die Begriffe Daten, Content Prozess und Content Life Cycle erläutert werden, erfolgt eine Klassifizierung von Content-Management-Systemen in die Bereiche Cross Media Publishing, Infobroker (Syndica-tor), Dokumentenmanagement, Informationspool, Unternehmensinformation, Wissensmanagement, Training, Portale, Customer Interaction & Care, Customer Relationship Management, Kommerzielle Community, Application Service Provider, E-Commerce und Marktplätze. Anhand einer technischen und inhaltlichen Zusammenfassung der Einsatzbereiche ergeben sich die Leistungsmerkmale: Visualizing, Retrieval, Organizing, Collaboration, Modularisierung, Skalierbarkeit und Authoring. Produkte werden den Einsatzbereichen zugeordnet und ausführlich beschrieben. Dabei fällt auf, dass bei den "Top-20-Produkten" die Bereiche Cross Media Publishing, Unternehmensinformation und Informationspool dominieren. Geringe Unterstützung erfahren zurzeit die Bereiche Wissensmanagement, Customer Interaction & Care sowie Training. Ein kritischer Erfolgsfaktor für die Einführung und den Betrieb eines Content-Management-Systems ist die Unterstützung des gewählten Geschäftsmodells. Die Einführung kann durch technische und organisatorische Auswahlverfahren unterstützt werden. Ein Schichtenmodell zeigt die Einbindung oder Optimierung eines Content-Management-Systems in ein Unternehmen. Einerseits können organisatorische, innerbetriebliche und marktorientierte Anforderungsprofile abgeleitet werden, andererseits ergeben sich aus der innerbetrieblichen IT-Struktur Determinanten für die Leistungs-merkmale und den Funktionsumfang des auszuwählenden Content-Management-Systems. Als ein wesentlicher kritischer Erfolgsfaktor stellte sich heraus, dass das Content-Management-System in der Lage sein sollte, dynamische Geschäftsmodelle abzubilden. Dieses Kriterium wird zusätzlich durch die diversen Checklisten, deren Aufbau auf dem Schichtenmodell basiert, herausgearbeitet.
Modern implementations of driver assistance systems are evolving from a pure driver assistance to a independently acting automation system. Still these systems are not covering the full vehicle usage range, also called operational design domain, which require the human driver as fall-back mechanism. Transition of control and potential minimum risk manoeuvres are currently research topics and will bridge the gap until full autonomous vehicles are available. The authors showed in a demonstration that the transition of control mechanisms can be further improved by usage of communication technology. Receiving the incident type and position information by usage of standardised vehicle to everything (V2X) messages can improve the driver safety and comfort level. The connected and automated vehicle’s software framework can take this information to plan areas where the driver should take back control by initiating a transition of control which can be followed by a minimum risk manoeuvre in case of an unresponsive driver. This transition of control has been implemented in a test vehicle and was presented to the public during the IEEE IV2022 (IEEE Intelligent Vehicle Symposium) in Aachen, Germany.
In this paper we present an extension of the action language Golog that allows for using fuzzy notions in non-deterministic argument choices and the reward function in decision-theoretic planning. Often, in decision-theoretic planning, it is cumbersome to specify the set of values to pick from in the non-deterministic-choice-of-argument statement. Also, even for domain experts, it is not always easy to specify a reward function. Instead of providing a finite domain for values in the non-deterministic-choice-of-argument statement in Golog, we now allow for stating the argument domain by simply providing a formula over linguistic terms and fuzzy uents. In Golog’s forward-search DT planning algorithm, these formulas are evaluated in order to find the agent’s optimal policy. We illustrate this in the Diner Domain where the agent needs to calculate the optimal serving order.