Energy Efficient and Reliable Wireless Sensor Networks - An Extension to IEEE 802.15.4e

Collecting sensor data in industrial environments from up to some tenth of battery powered sensor nodes with sampling rates up to 100Hz requires energy aware protocols, which avoid collisions and long listening phases. The IEEE 802.15.4 standard focuses on energy aware wireless sensor networks (WSNs) and the Task Group 4e has published an amendment to fulfill up to 100 sensor value transmissions per second per sensor node (Low Latency Deterministic Network (LLDN) mode) to satisfy demands of factory automation. To improve the reliability of the data collection in the star topology of the LLDN mode, we propose a relay strategy, which can be performed within the LLDN schedule. Furthermore we propose an extension of the star topology to collect data from two-hop sensor nodes. The proposed Retransmission Mode enables power savings in the sensor node of more than 33%, while reducing the packet loss by up to 50%. To reach this performance, an optimum spatial distribution is necessary, which is discussed in detail

Synthese von 5-(Dialkylamino)-5-X-pentadienalen aus 'Push-Pull'-Eninen

5-Aminopent-2-ene-4-inals 1 are easily available by Pd(0)-catalyzed coupling of stannyl ynamines 6 or silyl ynamines 7 with 3-iodoacroleine. They react nearly quantitatively with acids like HCl or AcOH to give 5-amino-5-X-pentadienals 2, which are of interest in view of a postulated rearrangement

Notiz zur Umlagerung von 5-Chloro-5-(dialkylamino)-pentadienalen

Similarly to 3-chloro-3-(dimethylamino)acrolein (2), 5-chloro-5-(dimethylamino)penta-2,4-dienal (6) easily rearranges in the presence of traces of acid to 2-(dimethylamino)pyrilium chloride (8), which is the postulated intermediate of the rearrangement of 6 to 5-chloropenta-2,4-dien-N,N-dimethylamide (10)

Planbasierte graphische Hilfe in objektorientierten Benutzungsoberflächen

Wir stellen das System PLUS vor, ein planbasiertes graphisches Hilfesystem für Applikationen mit einer objektorientierten Benutzerschnittstelle. Es werden die Hilfekomponente InCome+, die Animationskomponente und der graphik-orientierte Planeditor PlanEdit+ beschrieben. PlanEdit+ ermöglicht den interaktiven Aufbau der hierarchischen Planbasis, die die Grundlage für den Planerkennungsprozeß bildet.Eine zentrale Komponente der graphischen Hilfe in unserem System stellt das Modul InCome+ dar, das den Interaktionskontext des Benutzers visualisiert und darüberhinaus weitere Features wie semantische Undo- und Redo-Möglichkeiten und einen kontext-sensitiven Tutor zur Verfügung stellt. Als wesentliche Erweiterung der graphischen Benutzerunterstützung wird innerhalb von PLUS die Präsentation animierter Hilfe integriert. Es werden Benutzeraktionen simuliert, indem eine Animation über die aktuelle Benutzerschnittstelle gelagert wird. Die Animationssequenz wird im Kontext der aktuell vom Benutzer verfolgten Aufgabe generiert

Embodied geosensification-models, taxonomies and applications for engaging the body in immersive analytics of geospatial data

This thesis examines how we can use immersive multisensory displays and body-focused interaction technologies to analyze geospatial data. It merges relevant aspects from an array of interdisciplinary research areas, from cartography to the cognitive sciences, to form three taxonomies that describe the senses, data representations, and interactions made possible by these technologies. These taxonomies are then integrated into an overarching design model for such "Embodied Geosensifications". This model provides guidance for system specification and is validated with practical examples

Intelligent user support in graphical user interfaces

1. This paper presents a frontend to an intelligent help system based on plans called InCome (Interaction Control Manager). It visualizes user actions previously executed in a specific application as a graph structure and enables the user to navigate through this structure. A higher level of abstraction on performed user actions shows the dialog history, the interaction context and reachable goals. Finally, the user is able to act on the application via InCome by performing undo mechanisms as well as specifying user goals inferred already by the help system. 2. This paper describes the system PLUS, a plan-based help system for applications offering an object-oriented user interface. Our plan recognition process is based on a predefined static hierarchical plan base, that is modelled using a goal plan language. This language is designed to especially cope with the problems arising when plan recognition is performed in a graphical user interface environment whose interaction is based on a user-directed dialog by means of direct manipulation -- so-called Direct Manipulation User Interfaces. The plan hierarchy is entered using the interactive graphics-oriented plan editor PlanEdit+. The plan recognition module PlanRecognizer+ builds a dynamic plan base by mapping user actions to plans stored in the static plan base. The dynamic plan base contains hypotheses about tasks the user is pursuing at the moment. These plan hypotheses serve as a basis to offer various kinds of assistance to the user. A central component of our graphical help is the module InCome+. InCome+ visualizes user actions previously executed in an application as a graph structure and enables the user to navigate through this structure. A higher level of abstraction on performed actions shows the dialog history, the interaction context, and reachable goals. InCome+ offers special features like task-oriented undo und redo facilities and a context-sensitive tutor. As a substantial extension of the graphical user assistance, we integrate the presentation of animated help within PLUS. Animation sequences are generated in the context of the tasks the user is currently working on